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id	title	slug	type	status	content	archieml	archieml_update_statistics	published_at	updated_at	gdocSuccessorId	authors	excerpt	created_at_in_wordpress	updated_at_in_wordpress	featured_image	formattingOptions	markdown	wpApiSnapshot
43043	Living Planet Index: what does an average decline of 69% really mean?	living-planet-index-decline	post	publish	<!-- wp:html --> <div class="blog-info"> <p>Our World in Data presents the data and research to make progress against the world’s largest problems.<br>This blog post draws on data and research discussed in our entry on <strong><a href="https://ourworldindata.org/biodiversity" target="_blank" rel="noopener">Biodiversity</a></strong>.</p> </div> <!-- /wp:html --> <!-- wp:owid/summary --> <!-- wp:paragraph --> <p>The Living Planet Index is the biodiversity metric that always claims the headlines. Unfortunately, many of these headlines are wrong. The index is very easy to misinterpret.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>The Living Planet Index reports an average decline of 69% across tens of thousands of wildlife populations since 1970. This does not tell us anything about the number of individuals, species or populations lost, or even the share of populations that are shrinking.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Before reporting on the Living Planet Index we should understand what it actually tells us about the world’s wildlife. We should also be aware of the misconceptions and pitfalls of using this index to capture the changes in more than 30,000 of the world’s animal populations.</p> <!-- /wp:paragraph --> <!-- /wp:owid/summary --> <!-- wp-block-tombstone 43036 --> <!-- wp:paragraph --> <p>“<a href="https://www.indiatimes.com/news/india/last-50-years-earth-lost-68-percent-of-wildlife-85-percent-wetlands-because-of-humans-522447.html#:~:text=5%20months%20ago-,In%20The%20Last%2050%20Years%2C%20Earth%20Has%20Lost%2068%25%20Of,All%20Thanks%20To%20Us%20Humans&text=Global%20animal%2C%20bird%2C%20and%20fish,a%20new%20report%20has%20stated.">In the last 50 years, Earth has lost 68% of wildlife, all thanks to us humans</a>” (India Times)</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>“<a href="https://www.theguardian.com/environment/2018/oct/30/humanity-wiped-out-animals-since-1970-major-report-finds">Humanity has wiped out 60% of animal populations since 1970, report finds</a>” (The Guardian)</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>“<a href="https://www.weforum.org/agenda/2018/10/weve-lost-60-of-wildlife-in-less-than-50-years/">We've lost 60% of wildlife in less than 50 years</a>” (World Economic Forum)</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>These are just three of many headlines covering the <a href="https://www.livingplanetindex.org/home/index">Living Planet Index</a>. But they are all wrong. They are based on a misunderstanding of what the Living Planet Index shows. </p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>I sympathize with the journalists. Interpreting this metric is hard. I’m sure I’ve made similar mistakes in the past: using the terms ‘decline’, ‘lost’, and ‘fall’ interchangeably in biodiversity discussions. Combine this with the complexities of ‘populations’, ‘species’ and ‘extinctions’, and it gets complicated pretty quickly.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Before reporting on the Living Planet Index we should understand what it actually tells us about the world’s wildlife. We should also be aware of the misconceptions and pitfalls of using this index to capture the changes in more than 30,000 of the world’s animal populations.</p> <!-- /wp:paragraph --> <!-- wp:heading {"level":3} --> <h3>What does ‘average decline’ actually mean?</h3> <!-- /wp:heading --> <!-- wp:columns --> <div class="wp-block-columns"><!-- wp:column --> <div class="wp-block-column"><!-- wp:paragraph --> <p>The Living Planet Index (LPI) measures the <em>average change</em> in the number of individuals across the world’s animal populations. A ‘population’ is defined as a species within a geographical area. So, despite being the same species, the African elephant in South Africa and Tanzania are counted as different populations.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Let’s take a look at an example. This will not only show us how easily this figure can be misinterpreted but also why we should be careful when assuming that it gives us an accurate picture of what’s really happening to all wildlife populations.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>We’re going to take a real-life example of two populations of the <a href="http://ourworldindata.org/mammals#rhinos">Black rhino</a>: one in Tanzania and one in Botswana. In the first row of the table, we see their population size in 1980: there were 3795 rhinos in Tanzania, and only 30 in Botswana. In the following decades intense poaching in Tanzania has plunged its population to critically endangered status: in the second row we see that by 2017 there were only 160 rhinos left. Things in Botswana actually improved over time: its 30 rhinos increased to 50. The difference between their population size in 1980 and 2017 is shown in the third row: this represents the number of animals lost over time. And in the final row, we see the percentage change in population size for each.<br><br>The Tanzanian rhinos obviously did not fare well: they lost 96% of their population. The group in Botswana did much better. In fact, their numbers <em>increased </em>by 67%.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>If we calculate the average change of these two populations we get a value of -15%. Take the average of the change in Tanzania (-96%) and Botswana (67%). This means the Black rhinos saw an average decline of 15%.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Here, things get slightly more complex, because the actual LPI is calculated in a similar way but with one difference. It doesn’t just take the mean change across populations (called the <em>arithmetic mean</em>), it takes the <em>geometric</em> <em>mean</em>.{ref}The geometric mean is calculated by multiplying the numbers and taking the square root of the product (if there are two populations); cube root (if there are three populations); etc. It's often slightly better for calculating averages on rates of change.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Buckland, S. T., Studeny, A. C., Magurran, A. E., Illian, J. B., & Newson, S. E. (2011). <a href="https://esajournals.onlinelibrary.wiley.com/doi/10.1890/ES11-00186.1">The geometric mean of relative abundance indices: a biodiversity measure with a difference</a>. <em>Ecosphere</em>, <em>2</em>(9), 1-15.{/ref} The geometric mean across these two populations is -74%.{ref}We can calculate this by taking the geometric mean of 1.67 and 0.04 (which is the +67% and -96%) of the two populations. This gives us 0.26. That means (1 - 0.26) = a 74% decline.{/ref}<br><br>Let's keep that in mind. I'll continue to also explain this using the <em>arithmetic</em> mean because it's easier to follow and understand. But it's the geometric mean that the LPI uses. The numbers are different, but their implications are similar.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>The common misinterpretation of these numbers – where headlines would incorrectly report that “we’ve <em>lost</em> 15% [or 74%] of animals” – is shown in the far right column. There we’ve summed these numbers to show the two populations combined. In 1980, the total number of animals was 3825. We then lost 3615 of them, to give us only 210 in 2017. This means we actually lost 95% of the rhinos. The LPI is therefore a different measure from the number or percentage of individual animals lost. </p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>But this also highlights an even greater danger when reporting the LPI. By averaging these two populations we’ve ended up pretty clueless about the status of either of them. Either a 15% [or 74% using the geometric mean] decline would give a skewed understanding of the situation. The Black rhino in Tanzania has lost 96% of its rhinos and has become critically endangered. On the other hand, something is going right in Botswana because its numbers have <em>increased</em>. Both of these outcomes would be missed.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>This might mean we don’t prioritize the Tanzanian black rhino when we really need to. And we might lose out on an important lesson from Botswana on how to increase numbers in critically endangered populations. This is why a more population-specific approach to conservation is needed, as I discuss in the dropdown box at the end of this article.</p> <!-- /wp:paragraph --></div> <!-- /wp:column --> <!-- wp:column --> <div class="wp-block-column"><!-- wp:table --> <figure class="wp-block-table"><table><tbody><tr><td></td><td>Black rhino (Tanzania)</td><td>Black rhino (Botswana)</td><td><em>Total</em><em> (Tanzanian and Botswananian black rhinos)</em></td></tr><tr><td>Population size in 1980</td><td>3795</td><td>30</td><td><em>3825</em></td></tr><tr><td>Population size in 2017</td><td>160</td><td>50</td><td><em>210</em></td></tr><tr><td>Number of animals lost since 1980</td><td>3635</td><td>-20 (gained 20 rhinos)</td><td><em>3615</em></td></tr><tr><td>Percentage change in population size</td><td>-96%</td><td>+67%</td><td><em>-95%</em></td></tr></tbody></table></figure> <!-- /wp:table --></div> <!-- /wp:column --></div> <!-- /wp:columns --> <!-- wp:heading {"level":3} --> <h3>The Living Planet Index tells us that studied animal populations have seen an <em>average</em> relative decline of 69% since 1970</h3> <!-- /wp:heading --> <!-- wp:columns --> <div class="wp-block-columns"><!-- wp:column --> <div class="wp-block-column"><!-- wp:paragraph --> <p>Let’s then dig into the actual results of the LPI. The above headline is the main message of the 2022 Living Planet Index report.{ref}WWF (2022) <em>Living Planet Report 2022 – Building a nature-positive society</em>. Almond, R.E.A., Grooten, M., Juffe Bignoli, D. & Petersen, T. (Eds). WWF, Gland, Switzerland.{/ref} It tells us that from 1970 to 2018, there was an <em>average decline</em> of 69% across studied animal populations.<br><br>What types and how much of the world’s wildlife does the LPI cover? In the latest report it covered 31,821 populations of 5,230 species across the world. It only covers vertebrate species – mammals, birds, fish, reptiles and amphibians. </p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>It includes a large number of populations from each world region. In the latest report, the authors significantly increased the number of studies that were included in languages other than English. The number of included species from Asia and the Pacific increased by a quarter since the 2020 report. For Africa, species coverage increased by 37%. And most notably, it expanded by 66% across Latin America and the Caribbean.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>This is great progress. However, the tropics <a href="https://ourworldindata.org/living-planet-index#how-many-species-does-it-cover-what-is-the-geographical-range-of-this-coverage">are still underrepresented</a> relative to Europe and North America. This is not ideal, considering the tropics are home to the greatest diversity of species and is where wildlife is most threatened.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>This reveals two further limitations. First, it only covers a tiny percentage of species: Only 16% of known bird species; 11% of mammals; 6% of fish; and 3% of amphibians and reptile species. It’s hard to say how representative the available data is: it’s often the case that the species we are most concerned about (deservedly) get the most attention in the research. Second, many taxonomic groups are not included at all – nothing on insects, fungi, coral or plants. This is largely due to data availability – it’s easier to count bears than ants. Still, we should be wary of generalizing these results to all life on Earth. <em>[In our </em><a href="/faq-living-planet-index" target="_blank" rel="noreferrer noopener"><em>FAQ on the Living Planet Index</em></a><em> I look at the geographical and species breakdown of data availability, and where it’s sourced from]</em>.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>The global LPI is shown in the chart, where the value in 1970 is indexed to 100%. As we see, this has fallen to 31% in 2018, signifying a 69% decline.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>To be clear once again: the LPI <em>does not</em> tell us the number of species, populations or individuals lost; the number of extinctions that have occurred; or even the share of species that are declining. It tells us that between 1970 and 2018, on average, there was a 69% decline in population size across the 31,821 studied populations.</p> <!-- /wp:paragraph --></div> <!-- /wp:column --> <!-- wp:column --> <div class="wp-block-column"><!-- wp:html --> <iframe src="https://ourworldindata.org/grapher/global-living-planet-index" loading="lazy" style="width: 100%; height: 600px; border: 0px none;"></iframe> <!-- /wp:html --></div> <!-- /wp:column --></div> <!-- /wp:columns --> <!-- wp:heading {"level":3} --> <h3>Effective conservation means we have to look past the average</h3> <!-- /wp:heading --> <!-- wp:columns --> <div class="wp-block-columns"><!-- wp:column --> <div class="wp-block-column"><!-- wp:paragraph --> <p>To tell the real story on biodiversity, we have to be conscious of how the headlines are communicated. Losing 69% of the world’s wildlife within decades would be devastating. Thankfully it isn’t true.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>But, this shouldn’t detract from the fact that the loss of many wildlife populations is deeply concerning. Unfortunately, averages are not particularly helpful in understanding <em>what</em> and <em>where</em> these populations are. When we look at more detailed analyses of the LPI we find that actually this 69% average decline hides even more drastic declines in some populations. </p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>If we want to protect our most endangered species, these are the ones we need to prioritize. The average index unfortunately hides these populations from view.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>We need to not only be careful with how we report the headline index itself. But we also need to be aware of what it does, or more importantly, does not tell us about how global wildlife is changing. As I cover in a <strong><a href="https://owid.cloud/living-planet-index-understanding" data-type="post" data-id="43032">related article</a></strong>, the Living Planet database itself is an incredible resource that allows us to dig deeper into the individual stories of the 30,000 populations that have been reduced to a single number.</p> <!-- /wp:paragraph --></div> <!-- /wp:column --> <!-- wp:column --> <div class="wp-block-column"></div> <!-- /wp:column --></div> <!-- /wp:columns --> <!-- wp:separator --> <hr class="wp-block-separator"/> <!-- /wp:separator --> <!-- wp:owid/additional-information --> <!-- wp:heading {"level":3} --> <h3>Is the Living Planet Index sensitive to outliers?</h3> <!-- /wp:heading --> <!-- wp:columns --> <div class="wp-block-columns"><!-- wp:column --> <div class="wp-block-column"><!-- wp:paragraph --> <p>An average isn’t helpful – we need to know <em>where</em> and <em>what</em> animal populations are in greatest danger. Some are doing much worse than the headline suggests, but they get lost in the averages. This means we can’t focus our efforts on protecting the species that need it the most.  </p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>We should also be careful about what the average actually tells us. It can, quite easily, be sensitive to outliers: populations that have seen a dramatic decline or increase.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>We'll look at a simple example: let’s say we had an ecosystem where one population saw a decline of 99%, and 393 other populations each <em>increased</em> by 1%. Our final result would report an average decline of 50%.{ref}Leung, B., Hargreaves, A. L., Greenberg, D. A., McGill, B., Dornelas, M., & Freeman, R. (2020). <a href="https://www.nature.com/articles/s41586-020-2920-6">Clustered versus catastrophic global vertebrate declines</a>. <em>Nature</em>, <em>588</em>(7837), 267-271.{/ref} This is the difference between what we’d call a ‘catastrophic decline’ (a decline across most or all species) versus a ‘cluster decline’ (where it is a very specific set of species that are struggling). Our approach to tackling either of these scenarios would be very different.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>After the publication of the 2018 Living Planet Index report, researchers published a follow-up study in <em>Nature </em>where they looked at how the LPI was affected by extreme declines (or increases) in a small subset of the studied populations.{ref}Leung, B., Hargreaves, A. L., Greenberg, D. A., McGill, B., Dornelas, M., & Freeman, R. (2020). <a href="https://www.nature.com/articles/s41586-020-2920-6">Clustered versus catastrophic global vertebrate declines</a>. <em>Nature</em>, <em>588</em>(7837), 267-271.{/ref} For this study they looked at the results of the 2018 LPI report. It reported a 60% average decline in wildlife populations since 1970.{ref} WWF. <a href="https://www.worldwildlife.org/pages/living-planet-report-2018">Living Planet Report 2018: Aiming Higher</a> (eds. Grooten, N. & Almond, R. E. A.) (WWF, 2018).{/ref} </p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>By looking at the population data underlying the LPI they found that this 60% average decline was driven by extreme losses in a small subset of populations. If you excluded the 2.4% most-strongly declining populations – which was 356 out of 14,700 – the result reversed from a 60% average decline to a slightly positive growth. In other words, 2% to 3% of populations were doing <em>extremely </em>badly, but it appears that most species were doing okay.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>In the chart we see how the 2018 LPI result would have been affected by excluding the most extreme-negative populations. In red we see the final headline result of the report – a 60% average decline across the 14,700 populations. But as we exclude the most extreme negative populations, first 120 then 238 populations, we see that this average decline reduces significantly. Then, when we exclude the 356 most-severe populations, not only does the average decline reduce, it actually turns into a net positive. The abundance across these populations was, on average, <em>increasing</em>.</p> <!-- /wp:paragraph --></div> <!-- /wp:column --> <!-- wp:column --> <div class="wp-block-column"><!-- wp:image {"id":42267,"sizeSlug":"full","linkDestination":"none"} --> <figure class="wp-block-image size-full"><img src="https://owid.cloud/app/uploads/2021/03/Impact-of-extremes-on-living-planet-index.png" alt="" class="wp-image-42267"/></figure> <!-- /wp:image --></div> <!-- /wp:column --></div> <!-- /wp:columns --> <!-- wp:columns --> <div class="wp-block-columns"><!-- wp:column --> <div class="wp-block-column"><!-- wp:paragraph --> <p>But, extreme <em>positive</em> outliers can also have a strong impact on the final result. In the 2020 update of the LPI they <a href="http://stats.livingplanetindex.org/">updated this analysis</a> to show the impact of removing extreme negative, extreme positive, and both outliers combined. This is shown in the chart. Again we see the impact of removing negative extremes: removing the most severe 5% of populations turns the average 68% decline into an average <em>increase</em>. But removing positive extremes also has a large impact. When we remove even a few percent of the populations growing the most, we see an average decline of greater than 70%. Finally, if you remove both negative and positive outliers together we still see a significant average decline, although less than the reported LPI of 68%. If we remove the most extreme 10% of populations we get a 42% average decline since 1970.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>In response to this criticism to the sensitivity of the LPI to outliers, the authors tested this sensitivity in the 2022 report. To do this they removed 2.5%, 5% and 10% of the most extreme declining and increasing populations, and recalculated the index each time. While they got slightly different results from the 69% average decline reported, the overall trend is very similar in each one.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>This suggests that the final result is not mostly driven by the combination of extreme declines and increases. It might be the case that populations that have experienced very large increases cancel out the impact of very large declines. That would mean the overall result is not affected much when <em>both</em> are removed.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Regardless of how much of the final result is driven by extreme outliers, this discussion highlights the continued issue of trying to summarise global biodiversity trends into a single index number. </p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>What is more useful for conservation is looking at clustered declines: cutting through the average to identify where and what types of populations are seeing dramatic declines. Leung et al. (2020) highlighted several clusters of species that have struggled: reptile, amphibian and mammal species across Latin America; Indo-Malayan freshwater birds and amphibians; Arctic mammals; and both marine and freshwater fishes across most of the world’s environments.</p> <!-- /wp:paragraph --></div> <!-- /wp:column --> <!-- wp:column --> <div class="wp-block-column"></div> <!-- /wp:column --></div> <!-- /wp:columns --> <!-- wp:image {"id":42268,"sizeSlug":"full","linkDestination":"none"} --> <figure class="wp-block-image size-full"><img src="https://owid.cloud/app/uploads/2021/03/LPI-Outliers-2020.png" alt="" class="wp-image-42268"/><figcaption>Impact of removing positive or negative outliers from the Living Planet Index{ref}WWF (2020). <a href="https://livingplanet.panda.org/">Living Planet Report 2020 - Bending the curve of biodiversity loss</a>. Almond, R.E.A., Grooten M. and Petersen, T. (Eds). WWF, Gland, Switzerland.{/ref}</figcaption></figure> <!-- /wp:image --> <!-- /wp:owid/additional-information --> <!-- wp:heading {"level":3} --> <h3>Explore more of our work on <em>Biodiversity</em></h3> <!-- /wp:heading --> <!-- wp:owid/prominent-link {"title":"How does the Living Planet Index vary across the world?","linkUrl":"https://ourworldindata.org/living-planet-index#how-does-the-living-planet-index-vary-across-the-world","mediaId":43041,"mediaUrl":"https://owid.cloud/app/uploads/2021/05/living-planet-index-by-region.svg","mediaAlt":"","className":"is-style-thin"} /--> <!-- wp:owid/prominent-link {"title":"How the Living Planet project helps us understand how the world’s wildlife is changing","linkUrl":"https://ourworldindata.org/living-planet-index#how-the-living-planet-project-helps-us-understand-how-the-world-s-wildlife-is-changing","mediaId":42160,"mediaUrl":"https://owid.cloud/app/uploads/2021/03/Living-Planet-Index-thumbnail.png","mediaAlt":"","className":"is-style-thin"} --> <!-- wp:paragraph --> <p></p> <!-- /wp:paragraph --> <!-- /wp:owid/prominent-link -->	{ "id": "wp-43043", "slug": "living-planet-index-decline", "content": { "toc": [], "body": [ { "type": "text", "value": [ { "text": "Our World in Data presents the data and research to make progress against the world\u2019s largest problems.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "text": "This blog post draws on data and research discussed in our entry on ", "spanType": "span-simple-text" }, { "children": [ { "url": "https://ourworldindata.org/biodiversity", "children": [ { "text": "Biodiversity", "spanType": "span-simple-text" } ], "spanType": "span-link" } ], "spanType": "span-bold" }, { "text": ".", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "text": [ { "type": "text", "value": [ { "text": "The Living Planet Index is the biodiversity metric that always claims the headlines. 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But they are all wrong. They are based on a misunderstanding of what the Living Planet Index shows.\u00a0", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "I sympathize with the journalists. Interpreting this metric is hard. I\u2019m sure I\u2019ve made similar mistakes in the past: using the terms \u2018decline\u2019, \u2018lost\u2019, and \u2018fall\u2019 interchangeably in biodiversity discussions. Combine this with the complexities of \u2018populations\u2019, \u2018species\u2019 and \u2018extinctions\u2019, and it gets complicated pretty quickly.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Before reporting on the Living Planet Index we should understand what it actually tells us about the world\u2019s wildlife. We should also be aware of the misconceptions and pitfalls of using this index to capture the changes in more than 30,000 of the world\u2019s animal populations.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "text": [ { "text": "What does \u2018average decline\u2019 actually mean?", "spanType": "span-simple-text" } ], "type": "heading", "level": 2, "parseErrors": [] }, { "left": [ { "type": "text", "value": [ { "text": "The Living Planet Index (LPI) measures the ", "spanType": "span-simple-text" }, { "children": [ { "text": "average change", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": " in the number of individuals across the world\u2019s animal populations. A \u2018population\u2019 is defined as a species within a geographical area. So, despite being the same species, the African elephant in South Africa and Tanzania are counted as different populations.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Let\u2019s take a look at an example. This will not only show us how easily this figure can be misinterpreted but also why we should be careful when assuming that it gives us an accurate picture of what\u2019s really happening to all wildlife populations.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "We\u2019re going to take a real-life example of two populations of the ", "spanType": "span-simple-text" }, { "url": "http://ourworldindata.org/mammals#rhinos", "children": [ { "text": "Black rhino", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ": one in Tanzania and one in Botswana. In the first row of the table, we see their population size in 1980: there were 3795 rhinos in Tanzania, and only 30 in Botswana. In the following decades intense poaching in Tanzania has plunged its population to critically endangered status: in the second row we see that by 2017 there were only 160 rhinos left. Things in Botswana actually improved over time: its 30 rhinos increased to 50. The difference between their population size in 1980 and 2017 is shown in the third row: this represents the number of animals lost over time. And in the final row, we see the percentage change in population size for each.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": "The Tanzanian rhinos obviously did not fare well: they lost 96% of their population. The group in Botswana did much better. In fact, their numbers ", "spanType": "span-simple-text" }, { "children": [ { "text": "increased ", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "by 67%.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "If we calculate the average change of these two populations we get a value of -15%. Take the average of the change in Tanzania (-96%) and Botswana (67%). This means the Black rhinos saw an average decline of 15%.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Here, things get slightly more complex, because the actual LPI is calculated in a similar way but with one difference. It doesn\u2019t just take the mean change across populations (called the ", "spanType": "span-simple-text" }, { "children": [ { "text": "arithmetic mean", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "), it takes the ", "spanType": "span-simple-text" }, { "children": [ { "text": "geometric", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "children": [ { "text": "mean", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ".{ref}The geometric mean is calculated by multiplying the numbers and taking the square root of the product (if there are two populations); cube root (if there are three populations); etc. It's often slightly better for calculating averages on rates of change.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Buckland, S. T., Studeny, A. C., Magurran, A. E., Illian, J. B., & Newson, S. E. (2011). ", "spanType": "span-simple-text" }, { "url": "https://esajournals.onlinelibrary.wiley.com/doi/10.1890/ES11-00186.1", "children": [ { "text": "The geometric mean of relative abundance indices: a biodiversity measure with a difference", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "Ecosphere", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "2", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(9), 1-15.{/ref} The geometric mean across these two populations is -74%.{ref}We can calculate this by taking the geometric mean of 1.67 and 0.04 (which is the +67% and -96%) of the two populations. This gives us 0.26. That means (1 - 0.26) = a 74% decline.{/ref}", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": "Let's keep that in mind. I'll continue to also explain this using the ", "spanType": "span-simple-text" }, { "children": [ { "text": "arithmetic", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": " mean because it's easier to follow and understand. But it's the geometric mean that the LPI uses. The numbers are different, but their implications are similar.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "The common misinterpretation of these numbers \u2013 where headlines would incorrectly report that \u201cwe\u2019ve ", "spanType": "span-simple-text" }, { "children": [ { "text": "lost", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": " 15% [or 74%] of animals\u201d \u2013 is shown in the far right column. There we\u2019ve summed these numbers to show the two populations combined. In 1980, the total number of animals was 3825. We then lost 3615 of them, to give us only 210 in 2017. This means we actually lost 95% of the rhinos. The LPI is therefore a different measure from the number or percentage of individual animals lost.\u00a0", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "But this also highlights an even greater danger when reporting the LPI. By averaging these two populations we\u2019ve ended up pretty clueless about the status of either of them. Either a 15% [or 74% using the geometric mean] decline would give a skewed understanding of the situation. The Black rhino in Tanzania has lost 96% of its rhinos and has become critically endangered. On the other hand, something is going right in Botswana because its numbers have ", "spanType": "span-simple-text" }, { "children": [ { "text": "increased", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ". Both of these outcomes would be missed.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "This might mean we don\u2019t prioritize the Tanzanian black rhino when we really need to. And we might lose out on an important lesson from Botswana on how to increase numbers in critically endangered populations. This is why a more population-specific approach to conservation is needed, as I discuss in the dropdown box at the end of this article.", "spanType": "span-simple-text" } ], "parseErrors": [] } ], "type": "sticky-right", "right": [ { "type": "html", "value": "<div class=\"raw-html-table__container\"><table><tbody><tr><td></td><td>Black rhino (Tanzania)</td><td>Black rhino (Botswana)</td><td><em>Total</em><em> (Tanzanian and Botswananian black rhinos)</em></td></tr><tr><td>Population size in 1980</td><td>3795</td><td>30</td><td><em>3825</em></td></tr><tr><td>Population size in 2017</td><td>160</td><td>50</td><td><em>210</em></td></tr><tr><td>Number of animals lost since 1980</td><td>3635</td><td>-20 (gained 20 rhinos)</td><td><em>3615</em></td></tr><tr><td>Percentage change in population size</td><td>-96%</td><td>+67%</td><td><em>-95%</em></td></tr></tbody></table></div>", "parseErrors": [] } ], "parseErrors": [] }, { "text": [ { "text": "The Living Planet Index tells us that studied animal populations have seen an ", "spanType": "span-simple-text" }, { "children": [ { "text": "average", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": " relative decline of 69% since 1970", "spanType": "span-simple-text" } ], "type": "heading", "level": 2, "parseErrors": [] }, { "left": [ { "type": "text", "value": [ { "text": "Let\u2019s then dig into the actual results of the LPI. The above headline is the main message of the 2022 Living Planet Index report.{ref}WWF (2022) ", "spanType": "span-simple-text" }, { "children": [ { "text": "Living Planet Report 2022 \u2013 Building a nature-positive society", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ". Almond, R.E.A., Grooten, M., Juffe Bignoli, D. & Petersen, T. (Eds). WWF, Gland, Switzerland.{/ref} It tells us that from 1970 to 2018, there was an ", "spanType": "span-simple-text" }, { "children": [ { "text": "average decline", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": " of 69% across studied animal populations.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": "What types and how much of the world\u2019s wildlife does the LPI cover? In the latest report it covered 31,821 populations of 5,230 species across the world. It only covers vertebrate species \u2013 mammals, birds, fish, reptiles and amphibians. ", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "It includes a large number of populations from each world region. In the latest report, the authors significantly increased the number of studies that were included in languages other than English. The number of included species from Asia and the Pacific increased by a quarter since the 2020 report. For Africa, species coverage increased by 37%. And most notably, it expanded by 66% across Latin America and the Caribbean.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "This is great progress. However, the tropics ", "spanType": "span-simple-text" }, { "url": "https://ourworldindata.org/living-planet-index#how-many-species-does-it-cover-what-is-the-geographical-range-of-this-coverage", "children": [ { "text": "are still underrepresented", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": " relative to Europe and North America. This is not ideal, considering the tropics are home to the greatest diversity of species and is where wildlife is most threatened.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "This reveals two further limitations. First, it only covers a tiny percentage of species: Only 16% of known bird species; 11% of mammals; 6% of fish; and 3% of amphibians and reptile species. It\u2019s hard to say how representative the available data is: it\u2019s often the case that the species we are most concerned about (deservedly) get the most attention in the research. Second, many taxonomic groups are not included at all \u2013 nothing on insects, fungi, coral or plants. This is largely due to data availability \u2013 it\u2019s easier to count bears than ants. Still, we should be wary of generalizing these results to all life on Earth. ", "spanType": "span-simple-text" }, { "children": [ { "text": "[In our ", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "url": "/faq-living-planet-index", "children": [ { "children": [ { "text": "FAQ on the Living Planet Index", "spanType": "span-simple-text" } ], "spanType": "span-italic" } ], "spanType": "span-link" }, { "children": [ { "text": " I look at the geographical and species breakdown of data availability, and where it\u2019s sourced from]", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ".", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "The global LPI is shown in the chart, where the value in 1970 is indexed to 100%. As we see, this has fallen to 31% in 2018, signifying a 69% decline.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "To be clear once again: the LPI ", "spanType": "span-simple-text" }, { "children": [ { "text": "does not", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": " tell us the number of species, populations or individuals lost; the number of extinctions that have occurred; or even the share of species that are declining. It tells us that between 1970 and 2018, on average, there was a 69% decline in population size across the 31,821 studied populations.", "spanType": "span-simple-text" } ], "parseErrors": [] } ], "type": "sticky-right", "right": [ { "url": "https://ourworldindata.org/grapher/global-living-planet-index", "type": "chart", "parseErrors": [] } ], "parseErrors": [] }, { "text": [ { "text": "Effective conservation means we have to look past the average", "spanType": "span-simple-text" } ], "type": "heading", "level": 2, "parseErrors": [] }, { "type": "text", "value": [ { "text": "To tell the real story on biodiversity, we have to be conscious of how the headlines are communicated. Losing 69% of the world\u2019s wildlife within decades would be devastating. Thankfully it isn\u2019t true.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "But, this shouldn\u2019t detract from the fact that the loss of many wildlife populations is deeply concerning. Unfortunately, averages are not particularly helpful in understanding ", "spanType": "span-simple-text" }, { "children": [ { "text": "what", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": " and ", "spanType": "span-simple-text" }, { "children": [ { "text": "where", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": " these populations are. When we look at more detailed analyses of the LPI we find that actually this 69% average decline hides even more drastic declines in some populations. ", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "If we want to protect our most endangered species, these are the ones we need to prioritize. The average index unfortunately hides these populations from view.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "We need to not only be careful with how we report the headline index itself. But we also need to be aware of what it does, or more importantly, does not tell us about how global wildlife is changing. As I cover in a ", "spanType": "span-simple-text" }, { "children": [ { "url": "https://owid.cloud/living-planet-index-understanding", "children": [ { "text": "related article", "spanType": "span-simple-text" } ], "spanType": "span-link" } ], "spanType": "span-bold" }, { "text": ", the Living Planet database itself is an incredible resource that allows us to dig deeper into the individual stories of the 30,000 populations that have been reduced to a single number.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "gray-section", "items": [ { "text": [ { "text": "Additional information", "spanType": "span-simple-text" } ], "type": "heading", "level": 2, "parseErrors": [] }, { "type": "expandable-paragraph", "items": [ { "left": [ { "type": "text", "value": [ { "text": "An average isn\u2019t helpful \u2013 we need to know ", "spanType": "span-simple-text" }, { "children": [ { "text": "where", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": " and ", "spanType": "span-simple-text" }, { "children": [ { "text": "what", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": " animal populations are in greatest danger. Some are doing much worse than the headline suggests, but they get lost in the averages. This means we can\u2019t focus our efforts on protecting the species that need it the most.\u00a0\u00a0", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "We should also be careful about what the average actually tells us. It can, quite easily, be sensitive to outliers: populations that have seen a dramatic decline or increase.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "We'll look at a simple example: let\u2019s say we had an ecosystem where one population saw a decline of 99%, and 393 other populations each ", "spanType": "span-simple-text" }, { "children": [ { "text": "increased", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": " by 1%. Our final result would report an average decline of 50%.{ref}Leung, B., Hargreaves, A. L., Greenberg, D. A., McGill, B., Dornelas, M., & Freeman, R. (2020). ", "spanType": "span-simple-text" }, { "url": "https://www.nature.com/articles/s41586-020-2920-6", "children": [ { "text": "Clustered versus catastrophic global vertebrate declines", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "Nature", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "588", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(7837), 267-271.{/ref} This is the difference between what we\u2019d call a \u2018catastrophic decline\u2019 (a decline across most or all species) versus a \u2018cluster decline\u2019 (where it is a very specific set of species that are struggling). Our approach to tackling either of these scenarios would be very different.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "After the publication of the 2018 Living Planet Index report, researchers published a follow-up study in ", "spanType": "span-simple-text" }, { "children": [ { "text": "Nature ", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "where they looked at how the LPI was affected by extreme declines (or increases) in a small subset of the studied populations.{ref}Leung, B., Hargreaves, A. L., Greenberg, D. A., McGill, B., Dornelas, M., & Freeman, R. (2020). ", "spanType": "span-simple-text" }, { "url": "https://www.nature.com/articles/s41586-020-2920-6", "children": [ { "text": "Clustered versus catastrophic global vertebrate declines", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "Nature", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "588", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(7837), 267-271.{/ref} For this study they looked at the results of the 2018 LPI report. It reported a 60% average decline in wildlife populations since 1970.{ref} WWF. ", "spanType": "span-simple-text" }, { "url": "https://www.worldwildlife.org/pages/living-planet-report-2018", "children": [ { "text": "Living Planet Report 2018: Aiming Higher", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": " (eds. Grooten, N. & Almond, R. E. A.) (WWF, 2018).{/ref}\u00a0", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "By looking at the population data underlying the LPI they found that this 60% average decline was driven by extreme losses in a small subset of populations. If you excluded the 2.4% most-strongly declining populations \u2013 which was 356 out of 14,700 \u2013 the result reversed from a 60% average decline to a slightly positive growth. In other words, 2% to 3% of populations were doing ", "spanType": "span-simple-text" }, { "children": [ { "text": "extremely ", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "badly, but it appears that most species were doing okay.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "In the chart we see how the 2018 LPI result would have been affected by excluding the most extreme-negative populations. In red we see the final headline result of the report \u2013 a 60% average decline across the 14,700 populations. But as we exclude the most extreme negative populations, first 120 then 238 populations, we see that this average decline reduces significantly. Then, when we exclude the 356 most-severe populations, not only does the average decline reduce, it actually turns into a net positive. The abundance across these populations was, on average, ", "spanType": "span-simple-text" }, { "children": [ { "text": "increasing", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ".", "spanType": "span-simple-text" } ], "parseErrors": [] } ], "type": "sticky-right", "right": [ { "alt": "", "size": "wide", "type": "image", "filename": "Impact-of-extremes-on-living-planet-index.png", "parseErrors": [] } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "But, extreme ", "spanType": "span-simple-text" }, { "children": [ { "text": "positive", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": " outliers can also have a strong impact on the final result. In the 2020 update of the LPI they ", "spanType": "span-simple-text" }, { "url": "http://stats.livingplanetindex.org/", "children": [ { "text": "updated this analysis", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": " to show the impact of removing extreme negative, extreme positive, and both outliers combined. This is shown in the chart. Again we see the impact of removing negative extremes: removing the most severe 5% of populations turns the average 68% decline into an average ", "spanType": "span-simple-text" }, { "children": [ { "text": "increase", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ". But removing positive extremes also has a large impact. When we remove even a few percent of the populations growing the most, we see an average decline of greater than 70%. Finally, if you remove both negative and positive outliers together we still see a significant average decline, although less than the reported LPI of 68%. If we remove the most extreme 10% of populations we get a 42% average decline since 1970.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "In response to this criticism to the sensitivity of the LPI to outliers, the authors tested this sensitivity in the 2022 report. To do this they removed 2.5%, 5% and 10% of the most extreme declining and increasing populations, and recalculated the index each time. While they got slightly different results from the 69% average decline reported, the overall trend is very similar in each one.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "This suggests that the final result is not mostly driven by the combination of extreme declines and increases. It might be the case that populations that have experienced very large increases cancel out the impact of very large declines. That would mean the overall result is not affected much when ", "spanType": "span-simple-text" }, { "children": [ { "text": "both", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": " are removed.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Regardless of how much of the final result is driven by extreme outliers, this discussion highlights the continued issue of trying to summarise global biodiversity trends into a single index number. ", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "What is more useful for conservation is looking at clustered declines: cutting through the average to identify where and what types of populations are seeing dramatic declines. Leung et al. (2020) highlighted several clusters of species that have struggled: reptile, amphibian and mammal species across Latin America; Indo-Malayan freshwater birds and amphibians; Arctic mammals; and both marine and freshwater fishes across most of the world\u2019s environments.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "alt": "", "size": "wide", "type": "image", "filename": "LPI-Outliers-2020.png", "parseErrors": [] } ], "parseErrors": [] } ], "parseErrors": [] }, { "text": [ { "text": "Explore more of our work on ", "spanType": "span-simple-text" }, { "children": [ { "text": "Biodiversity", "spanType": "span-simple-text" } ], "spanType": "span-italic" } ], "type": "heading", "level": 2, "parseErrors": [] }, { "url": "https://ourworldindata.org/living-planet-index#how-does-the-living-planet-index-vary-across-the-world", "type": "prominent-link", "title": "How does the Living Planet Index vary across the world?", "description": "", "parseErrors": [] }, { "url": "https://ourworldindata.org/living-planet-index#how-the-living-planet-project-helps-us-understand-how-the-world-s-wildlife-is-changing", "type": "prominent-link", "title": "How the Living Planet project helps us understand how the world\u2019s wildlife is changing", "description": "", "parseErrors": [] } ], "type": "article", "title": "Living Planet Index: what does an average decline of 69% really mean?", "authors": [ "Hannah Ritchie" ], "excerpt": "The Living Planet Index is the biodiversity metric that always claims the headlines. It's often misinterpreted. How should we understand it?", "dateline": "October 13, 2022", "subtitle": "The Living Planet Index is the biodiversity metric that always claims the headlines. It's often misinterpreted. How should we understand it?", "sidebar-toc": false, "featured-image": "Living-Planet-Index-thumbnail.png" }, "createdAt": "2021-05-12T17:20:09.000Z", "published": false, "updatedAt": "2023-06-09T20:37:02.000Z", "revisionId": null, "publishedAt": "2022-10-13T09:00:00.000Z", "relatedCharts": [], "publicationContext": "listed" }	{ "errors": [ { "name": "unexpected wp component tag", "details": "Found unhandled wp:comment tag table" }, { "name": "unhandled html tag found", "details": "Encountered the unhandled tag hr" }, { "name": "unexpected wp component tag", "details": "Found unhandled wp:comment tag separator" } ], "numBlocks": 21, "numErrors": 3, "wpTagCounts": { "html": 2, "image": 2, "table": 1, "column": 10, "columns": 5, "heading": 5, "paragraph": 40, "separator": 1, "owid/summary": 1, "owid/prominent-link": 2, "owid/additional-information": 1 }, "htmlTagCounts": { "p": 41, "h3": 5, "hr": 1, "div": 16, "table": 1, "figure": 3, "iframe": 1, "figcaption": 1 } }	2022-10-13 09:00:00	2024-02-27 18:56:11	1wcnF-qtMtNWOxYNgXPSXF1l2FK5OiX0uw2wyJZZwRUA	[ "Hannah Ritchie" ]	The Living Planet Index is the biodiversity metric that always claims the headlines. It's often misinterpreted. How should we understand it?	2021-05-12 17:20:09	2023-06-09 20:37:02	https://ourworldindata.org/wp-content/uploads/2021/03/Living-Planet-Index-thumbnail.png	{}	Our World in Data presents the data and research to make progress against the world’s largest problems. This blog post draws on data and research discussed in our entry on [Biodiversity](https://ourworldindata.org/biodiversity). <Callout title="Summary"/> “[In the last 50 years, Earth has lost 68% of wildlife, all thanks to us humans](https://www.indiatimes.com/news/india/last-50-years-earth-lost-68-percent-of-wildlife-85-percent-wetlands-because-of-humans-522447.html#:~:text=5%20months%20ago-,In%20The%20Last%2050%20Years%2C%20Earth%20Has%20Lost%2068%25%20Of,All%20Thanks%20To%20Us%20Humans&text=Global%20animal%2C%20bird%2C%20and%20fish,a%20new%20report%20has%20stated.)” (India Times) “[Humanity has wiped out 60% of animal populations since 1970, report finds](https://www.theguardian.com/environment/2018/oct/30/humanity-wiped-out-animals-since-1970-major-report-finds)” (The Guardian) “[We've lost 60% of wildlife in less than 50 years](https://www.weforum.org/agenda/2018/10/weve-lost-60-of-wildlife-in-less-than-50-years/)” (World Economic Forum) These are just three of many headlines covering the [Living Planet Index](https://www.livingplanetindex.org/home/index). But they are all wrong. They are based on a misunderstanding of what the Living Planet Index shows. I sympathize with the journalists. Interpreting this metric is hard. I’m sure I’ve made similar mistakes in the past: using the terms ‘decline’, ‘lost’, and ‘fall’ interchangeably in biodiversity discussions. Combine this with the complexities of ‘populations’, ‘species’ and ‘extinctions’, and it gets complicated pretty quickly. Before reporting on the Living Planet Index we should understand what it actually tells us about the world’s wildlife. We should also be aware of the misconceptions and pitfalls of using this index to capture the changes in more than 30,000 of the world’s animal populations. ## What does ‘average decline’ actually mean? The Living Planet Index (LPI) measures the _average change_ in the number of individuals across the world’s animal populations. A ‘population’ is defined as a species within a geographical area. So, despite being the same species, the African elephant in South Africa and Tanzania are counted as different populations. Let’s take a look at an example. This will not only show us how easily this figure can be misinterpreted but also why we should be careful when assuming that it gives us an accurate picture of what’s really happening to all wildlife populations. We’re going to take a real-life example of two populations of the [Black rhino](http://ourworldindata.org/mammals#rhinos): one in Tanzania and one in Botswana. In the first row of the table, we see their population size in 1980: there were 3795 rhinos in Tanzania, and only 30 in Botswana. In the following decades intense poaching in Tanzania has plunged its population to critically endangered status: in the second row we see that by 2017 there were only 160 rhinos left. Things in Botswana actually improved over time: its 30 rhinos increased to 50. The difference between their population size in 1980 and 2017 is shown in the third row: this represents the number of animals lost over time. And in the final row, we see the percentage change in population size for each. The Tanzanian rhinos obviously did not fare well: they lost 96% of their population. The group in Botswana did much better. In fact, their numbers _increased _by 67%. If we calculate the average change of these two populations we get a value of -15%. Take the average of the change in Tanzania (-96%) and Botswana (67%). This means the Black rhinos saw an average decline of 15%. Here, things get slightly more complex, because the actual LPI is calculated in a similar way but with one difference. It doesn’t just take the mean change across populations (called the _arithmetic mean_), it takes the _geometric__mean_.{ref}The geometric mean is calculated by multiplying the numbers and taking the square root of the product (if there are two populations); cube root (if there are three populations); etc. It's often slightly better for calculating averages on rates of change. Buckland, S. T., Studeny, A. C., Magurran, A. E., Illian, J. B., & Newson, S. E. (2011). [The geometric mean of relative abundance indices: a biodiversity measure with a difference](https://esajournals.onlinelibrary.wiley.com/doi/10.1890/ES11-00186.1). _Ecosphere_, _2_(9), 1-15.{/ref} The geometric mean across these two populations is -74%.{ref}We can calculate this by taking the geometric mean of 1.67 and 0.04 (which is the +67% and -96%) of the two populations. This gives us 0.26. That means (1 - 0.26) = a 74% decline.{/ref} Let's keep that in mind. I'll continue to also explain this using the _arithmetic_ mean because it's easier to follow and understand. But it's the geometric mean that the LPI uses. The numbers are different, but their implications are similar. The common misinterpretation of these numbers – where headlines would incorrectly report that “we’ve _lost_ 15% [or 74%] of animals” – is shown in the far right column. There we’ve summed these numbers to show the two populations combined. In 1980, the total number of animals was 3825. We then lost 3615 of them, to give us only 210 in 2017. This means we actually lost 95% of the rhinos. The LPI is therefore a different measure from the number or percentage of individual animals lost. But this also highlights an even greater danger when reporting the LPI. By averaging these two populations we’ve ended up pretty clueless about the status of either of them. Either a 15% [or 74% using the geometric mean] decline would give a skewed understanding of the situation. The Black rhino in Tanzania has lost 96% of its rhinos and has become critically endangered. On the other hand, something is going right in Botswana because its numbers have _increased_. Both of these outcomes would be missed. This might mean we don’t prioritize the Tanzanian black rhino when we really need to. And we might lose out on an important lesson from Botswana on how to increase numbers in critically endangered populations. This is why a more population-specific approach to conservation is needed, as I discuss in the dropdown box at the end of this article. <div class="raw-html-table__container"><table><tbody><tr><td></td><td>Black rhino (Tanzania)</td><td>Black rhino (Botswana)</td><td><em>Total</em><em> (Tanzanian and Botswananian black rhinos)</em></td></tr><tr><td>Population size in 1980</td><td>3795</td><td>30</td><td><em>3825</em></td></tr><tr><td>Population size in 2017</td><td>160</td><td>50</td><td><em>210</em></td></tr><tr><td>Number of animals lost since 1980</td><td>3635</td><td>-20 (gained 20 rhinos)</td><td><em>3615</em></td></tr><tr><td>Percentage change in population size</td><td>-96%</td><td>+67%</td><td><em>-95%</em></td></tr></tbody></table></div> ## The Living Planet Index tells us that studied animal populations have seen an _average_ relative decline of 69% since 1970 Let’s then dig into the actual results of the LPI. The above headline is the main message of the 2022 Living Planet Index report.{ref}WWF (2022) _Living Planet Report 2022 – Building a nature-positive society_. Almond, R.E.A., Grooten, M., Juffe Bignoli, D. & Petersen, T. (Eds). WWF, Gland, Switzerland.{/ref} It tells us that from 1970 to 2018, there was an _average decline_ of 69% across studied animal populations. What types and how much of the world’s wildlife does the LPI cover? In the latest report it covered 31,821 populations of 5,230 species across the world. It only covers vertebrate species – mammals, birds, fish, reptiles and amphibians. It includes a large number of populations from each world region. In the latest report, the authors significantly increased the number of studies that were included in languages other than English. The number of included species from Asia and the Pacific increased by a quarter since the 2020 report. For Africa, species coverage increased by 37%. And most notably, it expanded by 66% across Latin America and the Caribbean. This is great progress. However, the tropics [are still underrepresented](https://ourworldindata.org/living-planet-index#how-many-species-does-it-cover-what-is-the-geographical-range-of-this-coverage) relative to Europe and North America. This is not ideal, considering the tropics are home to the greatest diversity of species and is where wildlife is most threatened. This reveals two further limitations. First, it only covers a tiny percentage of species: Only 16% of known bird species; 11% of mammals; 6% of fish; and 3% of amphibians and reptile species. It’s hard to say how representative the available data is: it’s often the case that the species we are most concerned about (deservedly) get the most attention in the research. Second, many taxonomic groups are not included at all – nothing on insects, fungi, coral or plants. This is largely due to data availability – it’s easier to count bears than ants. Still, we should be wary of generalizing these results to all life on Earth. _[In our _[_FAQ on the Living Planet Index_](/faq-living-planet-index)_ I look at the geographical and species breakdown of data availability, and where it’s sourced from]_. The global LPI is shown in the chart, where the value in 1970 is indexed to 100%. As we see, this has fallen to 31% in 2018, signifying a 69% decline. To be clear once again: the LPI _does not_ tell us the number of species, populations or individuals lost; the number of extinctions that have occurred; or even the share of species that are declining. It tells us that between 1970 and 2018, on average, there was a 69% decline in population size across the 31,821 studied populations. <Chart url="https://ourworldindata.org/grapher/global-living-planet-index"/> ## Effective conservation means we have to look past the average To tell the real story on biodiversity, we have to be conscious of how the headlines are communicated. Losing 69% of the world’s wildlife within decades would be devastating. Thankfully it isn’t true. But, this shouldn’t detract from the fact that the loss of many wildlife populations is deeply concerning. Unfortunately, averages are not particularly helpful in understanding _what_ and _where_ these populations are. When we look at more detailed analyses of the LPI we find that actually this 69% average decline hides even more drastic declines in some populations. If we want to protect our most endangered species, these are the ones we need to prioritize. The average index unfortunately hides these populations from view. We need to not only be careful with how we report the headline index itself. But we also need to be aware of what it does, or more importantly, does not tell us about how global wildlife is changing. As I cover in a [related article](https://owid.cloud/living-planet-index-understanding), the Living Planet database itself is an incredible resource that allows us to dig deeper into the individual stories of the 30,000 populations that have been reduced to a single number. ## Additional information An average isn’t helpful – we need to know _where_ and _what_ animal populations are in greatest danger. Some are doing much worse than the headline suggests, but they get lost in the averages. This means we can’t focus our efforts on protecting the species that need it the most. We should also be careful about what the average actually tells us. It can, quite easily, be sensitive to outliers: populations that have seen a dramatic decline or increase. We'll look at a simple example: let’s say we had an ecosystem where one population saw a decline of 99%, and 393 other populations each _increased_ by 1%. Our final result would report an average decline of 50%.{ref}Leung, B., Hargreaves, A. L., Greenberg, D. A., McGill, B., Dornelas, M., & Freeman, R. (2020). [Clustered versus catastrophic global vertebrate declines](https://www.nature.com/articles/s41586-020-2920-6). _Nature_, _588_(7837), 267-271.{/ref} This is the difference between what we’d call a ‘catastrophic decline’ (a decline across most or all species) versus a ‘cluster decline’ (where it is a very specific set of species that are struggling). Our approach to tackling either of these scenarios would be very different. After the publication of the 2018 Living Planet Index report, researchers published a follow-up study in _Nature _where they looked at how the LPI was affected by extreme declines (or increases) in a small subset of the studied populations.{ref}Leung, B., Hargreaves, A. L., Greenberg, D. A., McGill, B., Dornelas, M., & Freeman, R. (2020). [Clustered versus catastrophic global vertebrate declines](https://www.nature.com/articles/s41586-020-2920-6). _Nature_, _588_(7837), 267-271.{/ref} For this study they looked at the results of the 2018 LPI report. It reported a 60% average decline in wildlife populations since 1970.{ref} WWF. [Living Planet Report 2018: Aiming Higher](https://www.worldwildlife.org/pages/living-planet-report-2018) (eds. Grooten, N. & Almond, R. E. A.) (WWF, 2018).{/ref} By looking at the population data underlying the LPI they found that this 60% average decline was driven by extreme losses in a small subset of populations. If you excluded the 2.4% most-strongly declining populations – which was 356 out of 14,700 – the result reversed from a 60% average decline to a slightly positive growth. In other words, 2% to 3% of populations were doing _extremely _badly, but it appears that most species were doing okay. In the chart we see how the 2018 LPI result would have been affected by excluding the most extreme-negative populations. In red we see the final headline result of the report – a 60% average decline across the 14,700 populations. But as we exclude the most extreme negative populations, first 120 then 238 populations, we see that this average decline reduces significantly. Then, when we exclude the 356 most-severe populations, not only does the average decline reduce, it actually turns into a net positive. The abundance across these populations was, on average, _increasing_. <Image filename="Impact-of-extremes-on-living-planet-index.png" alt=""/> But, extreme _positive_ outliers can also have a strong impact on the final result. In the 2020 update of the LPI they [updated this analysis](http://stats.livingplanetindex.org/) to show the impact of removing extreme negative, extreme positive, and both outliers combined. This is shown in the chart. Again we see the impact of removing negative extremes: removing the most severe 5% of populations turns the average 68% decline into an average _increase_. But removing positive extremes also has a large impact. When we remove even a few percent of the populations growing the most, we see an average decline of greater than 70%. Finally, if you remove both negative and positive outliers together we still see a significant average decline, although less than the reported LPI of 68%. If we remove the most extreme 10% of populations we get a 42% average decline since 1970. In response to this criticism to the sensitivity of the LPI to outliers, the authors tested this sensitivity in the 2022 report. To do this they removed 2.5%, 5% and 10% of the most extreme declining and increasing populations, and recalculated the index each time. While they got slightly different results from the 69% average decline reported, the overall trend is very similar in each one. This suggests that the final result is not mostly driven by the combination of extreme declines and increases. It might be the case that populations that have experienced very large increases cancel out the impact of very large declines. That would mean the overall result is not affected much when _both_ are removed. Regardless of how much of the final result is driven by extreme outliers, this discussion highlights the continued issue of trying to summarise global biodiversity trends into a single index number. What is more useful for conservation is looking at clustered declines: cutting through the average to identify where and what types of populations are seeing dramatic declines. Leung et al. (2020) highlighted several clusters of species that have struggled: reptile, amphibian and mammal species across Latin America; Indo-Malayan freshwater birds and amphibians; Arctic mammals; and both marine and freshwater fishes across most of the world’s environments. <Image filename="LPI-Outliers-2020.png" alt=""/> ## Explore more of our work on _Biodiversity_ ### How does the Living Planet Index vary across the world? https://ourworldindata.org/living-planet-index#how-does-the-living-planet-index-vary-across-the-world ### How the Living Planet project helps us understand how the world’s wildlife is changing https://ourworldindata.org/living-planet-index#how-the-living-planet-project-helps-us-understand-how-the-world-s-wildlife-is-changing	{ "id": 43043, "date": "2022-10-13T10:00:00", "guid": { "rendered": "https://owid.cloud/?p=43043" }, "link": "https://owid.cloud/living-planet-index-decline", "meta": { "owid_publication_context_meta_field": { "latest": true, "homepage": true, "immediate_newsletter": true } }, "slug": "living-planet-index-decline", "tags": [], "type": "post", "title": { "rendered": "Living Planet Index: what does an average decline of 69% really mean?" }, "_links": { "self": [ { "href": "https://owid.cloud/wp-json/wp/v2/posts/43043" } ], "about": [ { "href": "https://owid.cloud/wp-json/wp/v2/types/post" } ], "author": [ { "href": "https://owid.cloud/wp-json/wp/v2/users/17", "embeddable": true } ], "curies": [ { "href": "https://api.w.org/{rel}", "name": "wp", "templated": true } ], "replies": [ { "href": "https://owid.cloud/wp-json/wp/v2/comments?post=43043", "embeddable": true } ], "wp:term": [ { "href": "https://owid.cloud/wp-json/wp/v2/categories?post=43043", "taxonomy": "category", "embeddable": true }, { "href": "https://owid.cloud/wp-json/wp/v2/tags?post=43043", "taxonomy": "post_tag", "embeddable": true } ], "collection": [ { "href": "https://owid.cloud/wp-json/wp/v2/posts" } ], "wp:attachment": [ { "href": "https://owid.cloud/wp-json/wp/v2/media?parent=43043" } ], "version-history": [ { "href": "https://owid.cloud/wp-json/wp/v2/posts/43043/revisions", "count": 9 } ], "wp:featuredmedia": [ { "href": "https://owid.cloud/wp-json/wp/v2/media/42160", "embeddable": true } ], "predecessor-version": [ { "id": 57465, "href": "https://owid.cloud/wp-json/wp/v2/posts/43043/revisions/57465" } ] }, "author": 17, "format": "standard", "status": "publish", "sticky": false, "content": { "rendered": "\n<div class=\"blog-info\">\n<p>Our World in Data presents the data and research to make progress against the world\u2019s largest problems.<br>This blog post draws on data and research discussed in our entry on <strong><a href=\"https://ourworldindata.org/biodiversity\" target=\"_blank\" rel=\"noopener\">Biodiversity</a></strong>.</p>\n</div>\n\n\n\t<div class=\"wp-block-owid-summary\">\n\t\t<h2>Summary</h2>\n\t\t\n\n<p>The Living Planet Index is the biodiversity metric that always claims the headlines. Unfortunately, many of these headlines are wrong. The index is very easy to misinterpret.</p>\n\n\n\n<p>The Living Planet Index reports an average decline of 69% across tens of thousands of wildlife populations since 1970. This does not tell us anything about the number of individuals, species or populations lost, or even the share of populations that are shrinking.</p>\n\n\n\n<p>Before reporting on the Living Planet Index we should understand what it actually tells us about the world\u2019s wildlife. We should also be aware of the misconceptions and pitfalls of using this index to capture the changes in more than 30,000 of the world\u2019s animal populations.</p>\n\n\n\t</div>\n\n\n<p>\u201c<a href=\"https://www.indiatimes.com/news/india/last-50-years-earth-lost-68-percent-of-wildlife-85-percent-wetlands-because-of-humans-522447.html#:~:text=5%20months%20ago-,In%20The%20Last%2050%20Years%2C%20Earth%20Has%20Lost%2068%25%20Of,All%20Thanks%20To%20Us%20Humans&text=Global%20animal%2C%20bird%2C%20and%20fish,a%20new%20report%20has%20stated.\">In the last 50 years, Earth has lost 68% of wildlife, all thanks to us humans</a>\u201d (India Times)</p>\n\n\n\n<p>\u201c<a href=\"https://www.theguardian.com/environment/2018/oct/30/humanity-wiped-out-animals-since-1970-major-report-finds\">Humanity has wiped out 60% of animal populations since 1970, report finds</a>\u201d (The Guardian)</p>\n\n\n\n<p>\u201c<a href=\"https://www.weforum.org/agenda/2018/10/weve-lost-60-of-wildlife-in-less-than-50-years/\">We’ve lost 60% of wildlife in less than 50 years</a>\u201d (World Economic Forum)</p>\n\n\n\n<p>These are just three of many headlines covering the <a href=\"https://www.livingplanetindex.org/home/index\">Living Planet Index</a>. But they are all wrong. They are based on a misunderstanding of what the Living Planet Index shows. </p>\n\n\n\n<p>I sympathize with the journalists. Interpreting this metric is hard. I\u2019m sure I\u2019ve made similar mistakes in the past: using the terms \u2018decline\u2019, \u2018lost\u2019, and \u2018fall\u2019 interchangeably in biodiversity discussions. Combine this with the complexities of \u2018populations\u2019, \u2018species\u2019 and \u2018extinctions\u2019, and it gets complicated pretty quickly.</p>\n\n\n\n<p>Before reporting on the Living Planet Index we should understand what it actually tells us about the world\u2019s wildlife. We should also be aware of the misconceptions and pitfalls of using this index to capture the changes in more than 30,000 of the world\u2019s animal populations.</p>\n\n\n\n<h3>What does \u2018average decline\u2019 actually mean?</h3>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\">\n<p>The Living Planet Index (LPI) measures the <em>average change</em> in the number of individuals across the world\u2019s animal populations. A \u2018population\u2019 is defined as a species within a geographical area. So, despite being the same species, the African elephant in South Africa and Tanzania are counted as different populations.</p>\n\n\n\n<p>Let\u2019s take a look at an example. This will not only show us how easily this figure can be misinterpreted but also why we should be careful when assuming that it gives us an accurate picture of what\u2019s really happening to all wildlife populations.</p>\n\n\n\n<p>We\u2019re going to take a real-life example of two populations of the <a href=\"http://ourworldindata.org/mammals#rhinos\">Black rhino</a>: one in Tanzania and one in Botswana. In the first row of the table, we see their population size in 1980: there were 3795 rhinos in Tanzania, and only 30 in Botswana. In the following decades intense poaching in Tanzania has plunged its population to critically endangered status: in the second row we see that by 2017 there were only 160 rhinos left. Things in Botswana actually improved over time: its 30 rhinos increased to 50. The difference between their population size in 1980 and 2017 is shown in the third row: this represents the number of animals lost over time. And in the final row, we see the percentage change in population size for each.<br><br>The Tanzanian rhinos obviously did not fare well: they lost 96% of their population. The group in Botswana did much better. In fact, their numbers <em>increased </em>by 67%.</p>\n\n\n\n<p>If we calculate the average change of these two populations we get a value of -15%. Take the average of the change in Tanzania (-96%) and Botswana (67%). This means the Black rhinos saw an average decline of 15%.</p>\n\n\n\n<p>Here, things get slightly more complex, because the actual LPI is calculated in a similar way but with one difference. It doesn\u2019t just take the mean change across populations (called the <em>arithmetic mean</em>), it takes the <em>geometric</em> <em>mean</em>.{ref}The geometric mean is calculated by multiplying the numbers and taking the square root of the product (if there are two populations); cube root (if there are three populations); etc. It’s often slightly better for calculating averages on rates of change.</p>\n\n\n\n<p>Buckland, S. T., Studeny, A. C., Magurran, A. E., Illian, J. B., & Newson, S. E. (2011). <a href=\"https://esajournals.onlinelibrary.wiley.com/doi/10.1890/ES11-00186.1\">The geometric mean of relative abundance indices: a biodiversity measure with a difference</a>. <em>Ecosphere</em>, <em>2</em>(9), 1-15.{/ref} The geometric mean across these two populations is -74%.{ref}We can calculate this by taking the geometric mean of 1.67 and 0.04 (which is the +67% and -96%) of the two populations. This gives us 0.26. That means (1 – 0.26) = a 74% decline.{/ref}<br><br>Let’s keep that in mind. I’ll continue to also explain this using the <em>arithmetic</em> mean because it’s easier to follow and understand. But it’s the geometric mean that the LPI uses. The numbers are different, but their implications are similar.</p>\n\n\n\n<p>The common misinterpretation of these numbers \u2013 where headlines would incorrectly report that \u201cwe\u2019ve <em>lost</em> 15% [or 74%] of animals\u201d \u2013 is shown in the far right column. There we\u2019ve summed these numbers to show the two populations combined. In 1980, the total number of animals was 3825. We then lost 3615 of them, to give us only 210 in 2017. This means we actually lost 95% of the rhinos. The LPI is therefore a different measure from the number or percentage of individual animals lost. </p>\n\n\n\n<p>But this also highlights an even greater danger when reporting the LPI. By averaging these two populations we\u2019ve ended up pretty clueless about the status of either of them. Either a 15% [or 74% using the geometric mean] decline would give a skewed understanding of the situation. The Black rhino in Tanzania has lost 96% of its rhinos and has become critically endangered. On the other hand, something is going right in Botswana because its numbers have <em>increased</em>. Both of these outcomes would be missed.</p>\n\n\n\n<p>This might mean we don\u2019t prioritize the Tanzanian black rhino when we really need to. And we might lose out on an important lesson from Botswana on how to increase numbers in critically endangered populations. This is why a more population-specific approach to conservation is needed, as I discuss in the dropdown box at the end of this article.</p>\n</div>\n\n\n\n<div class=\"wp-block-column\">\n<figure class=\"wp-block-table\"><table><tbody><tr><td></td><td>Black rhino (Tanzania)</td><td>Black rhino (Botswana)</td><td><em>Total</em><em> (Tanzanian and Botswananian black rhinos)</em></td></tr><tr><td>Population size in 1980</td><td>3795</td><td>30</td><td><em>3825</em></td></tr><tr><td>Population size in 2017</td><td>160</td><td>50</td><td><em>210</em></td></tr><tr><td>Number of animals lost since 1980</td><td>3635</td><td>-20 (gained 20 rhinos)</td><td><em>3615</em></td></tr><tr><td>Percentage change in population size</td><td>-96%</td><td>+67%</td><td><em>-95%</em></td></tr></tbody></table></figure>\n</div>\n</div>\n\n\n\n<h3>The Living Planet Index tells us that studied animal populations have seen an <em>average</em> relative decline of 69% since 1970</h3>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\">\n<p>Let\u2019s then dig into the actual results of the LPI. The above headline is the main message of the 2022 Living Planet Index report.{ref}WWF (2022) <em>Living Planet Report 2022 \u2013 Building a nature-positive society</em>. Almond, R.E.A., Grooten, M., Juffe Bignoli, D. & Petersen, T. (Eds). WWF, Gland, Switzerland.{/ref} It tells us that from 1970 to 2018, there was an <em>average decline</em> of 69% across studied animal populations.<br><br>What types and how much of the world\u2019s wildlife does the LPI cover? In the latest report it covered 31,821 populations of 5,230 species across the world. It only covers vertebrate species \u2013 mammals, birds, fish, reptiles and amphibians. </p>\n\n\n\n<p>It includes a large number of populations from each world region. In the latest report, the authors significantly increased the number of studies that were included in languages other than English. The number of included species from Asia and the Pacific increased by a quarter since the 2020 report. For Africa, species coverage increased by 37%. And most notably, it expanded by 66% across Latin America and the Caribbean.</p>\n\n\n\n<p>This is great progress. However, the tropics <a href=\"https://ourworldindata.org/living-planet-index#how-many-species-does-it-cover-what-is-the-geographical-range-of-this-coverage\">are still underrepresented</a> relative to Europe and North America. This is not ideal, considering the tropics are home to the greatest diversity of species and is where wildlife is most threatened.</p>\n\n\n\n<p>This reveals two further limitations. First, it only covers a tiny percentage of species: Only 16% of known bird species; 11% of mammals; 6% of fish; and 3% of amphibians and reptile species. It\u2019s hard to say how representative the available data is: it\u2019s often the case that the species we are most concerned about (deservedly) get the most attention in the research. Second, many taxonomic groups are not included at all \u2013 nothing on insects, fungi, coral or plants. This is largely due to data availability \u2013 it\u2019s easier to count bears than ants. Still, we should be wary of generalizing these results to all life on Earth. <em>[In our </em><a href=\"/faq-living-planet-index\" target=\"_blank\" rel=\"noreferrer noopener\"><em>FAQ on the Living Planet Index</em></a><em> I look at the geographical and species breakdown of data availability, and where it\u2019s sourced from]</em>.</p>\n\n\n\n<p>The global LPI is shown in the chart, where the value in 1970 is indexed to 100%. As we see, this has fallen to 31% in 2018, signifying a 69% decline.</p>\n\n\n\n<p>To be clear once again: the LPI <em>does not</em> tell us the number of species, populations or individuals lost; the number of extinctions that have occurred; or even the share of species that are declining. It tells us that between 1970 and 2018, on average, there was a 69% decline in population size across the 31,821 studied populations.</p>\n</div>\n\n\n\n<div class=\"wp-block-column\">\n<iframe src=\"https://ourworldindata.org/grapher/global-living-planet-index\" loading=\"lazy\" style=\"width: 100%; height: 600px; border: 0px none;\"></iframe>\n</div>\n</div>\n\n\n\n<h3>Effective conservation means we have to look past the average</h3>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\">\n<p>To tell the real story on biodiversity, we have to be conscious of how the headlines are communicated. Losing 69% of the world\u2019s wildlife within decades would be devastating. Thankfully it isn\u2019t true.</p>\n\n\n\n<p>But, this shouldn\u2019t detract from the fact that the loss of many wildlife populations is deeply concerning. Unfortunately, averages are not particularly helpful in understanding <em>what</em> and <em>where</em> these populations are. When we look at more detailed analyses of the LPI we find that actually this 69% average decline hides even more drastic declines in some populations. </p>\n\n\n\n<p>If we want to protect our most endangered species, these are the ones we need to prioritize. The average index unfortunately hides these populations from view.</p>\n\n\n\n<p>We need to not only be careful with how we report the headline index itself. But we also need to be aware of what it does, or more importantly, does not tell us about how global wildlife is changing. As I cover in a <strong><a href=\"https://owid.cloud/living-planet-index-understanding\" data-type=\"post\" data-id=\"43032\">related article</a></strong>, the Living Planet database itself is an incredible resource that allows us to dig deeper into the individual stories of the 30,000 populations that have been reduced to a single number.</p>\n</div>\n\n\n\n<div class=\"wp-block-column\"></div>\n</div>\n\n\n\n<hr class=\"wp-block-separator\"/>\n\n\n\t<block type=\"additional-information\" default-open=\"false\">\n\t\t<content>\n\n<h3>Is the Living Planet Index sensitive to outliers?</h3>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\">\n<p>An average isn\u2019t helpful \u2013 we need to know <em>where</em> and <em>what</em> animal populations are in greatest danger. Some are doing much worse than the headline suggests, but they get lost in the averages. This means we can\u2019t focus our efforts on protecting the species that need it the most.  </p>\n\n\n\n<p>We should also be careful about what the average actually tells us. It can, quite easily, be sensitive to outliers: populations that have seen a dramatic decline or increase.</p>\n\n\n\n<p>We’ll look at a simple example: let\u2019s say we had an ecosystem where one population saw a decline of 99%, and 393 other populations each <em>increased</em> by 1%. Our final result would report an average decline of 50%.{ref}Leung, B., Hargreaves, A. L., Greenberg, D. A., McGill, B., Dornelas, M., & Freeman, R. (2020). <a href=\"https://www.nature.com/articles/s41586-020-2920-6\">Clustered versus catastrophic global vertebrate declines</a>. <em>Nature</em>, <em>588</em>(7837), 267-271.{/ref} This is the difference between what we\u2019d call a \u2018catastrophic decline\u2019 (a decline across most or all species) versus a \u2018cluster decline\u2019 (where it is a very specific set of species that are struggling). Our approach to tackling either of these scenarios would be very different.</p>\n\n\n\n<p>After the publication of the 2018 Living Planet Index report, researchers published a follow-up study in <em>Nature </em>where they looked at how the LPI was affected by extreme declines (or increases) in a small subset of the studied populations.{ref}Leung, B., Hargreaves, A. L., Greenberg, D. A., McGill, B., Dornelas, M., & Freeman, R. (2020). <a href=\"https://www.nature.com/articles/s41586-020-2920-6\">Clustered versus catastrophic global vertebrate declines</a>. <em>Nature</em>, <em>588</em>(7837), 267-271.{/ref} For this study they looked at the results of the 2018 LPI report. It reported a 60% average decline in wildlife populations since 1970.{ref} WWF. <a href=\"https://www.worldwildlife.org/pages/living-planet-report-2018\">Living Planet Report 2018: Aiming Higher</a> (eds. Grooten, N. & Almond, R. E. A.) (WWF, 2018).{/ref} </p>\n\n\n\n<p>By looking at the population data underlying the LPI they found that this 60% average decline was driven by extreme losses in a small subset of populations. If you excluded the 2.4% most-strongly declining populations \u2013 which was 356 out of 14,700 \u2013 the result reversed from a 60% average decline to a slightly positive growth. In other words, 2% to 3% of populations were doing <em>extremely </em>badly, but it appears that most species were doing okay.</p>\n\n\n\n<p>In the chart we see how the 2018 LPI result would have been affected by excluding the most extreme-negative populations. In red we see the final headline result of the report \u2013 a 60% average decline across the 14,700 populations. But as we exclude the most extreme negative populations, first 120 then 238 populations, we see that this average decline reduces significantly. Then, when we exclude the 356 most-severe populations, not only does the average decline reduce, it actually turns into a net positive. The abundance across these populations was, on average, <em>increasing</em>.</p>\n</div>\n\n\n\n<div class=\"wp-block-column\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" width=\"1835\" height=\"1419\" src=\"https://owid.cloud/app/uploads/2021/03/Impact-of-extremes-on-living-planet-index.png\" alt=\"\" class=\"wp-image-42267\" srcset=\"https://owid.cloud/app/uploads/2021/03/Impact-of-extremes-on-living-planet-index.png 1835w, https://owid.cloud/app/uploads/2021/03/Impact-of-extremes-on-living-planet-index-400x309.png 400w, https://owid.cloud/app/uploads/2021/03/Impact-of-extremes-on-living-planet-index-711x550.png 711w, https://owid.cloud/app/uploads/2021/03/Impact-of-extremes-on-living-planet-index-150x116.png 150w, https://owid.cloud/app/uploads/2021/03/Impact-of-extremes-on-living-planet-index-768x594.png 768w, https://owid.cloud/app/uploads/2021/03/Impact-of-extremes-on-living-planet-index-1536x1188.png 1536w\" sizes=\"(max-width: 1835px) 100vw, 1835px\" /></figure>\n</div>\n</div>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\">\n<p>But, extreme <em>positive</em> outliers can also have a strong impact on the final result. In the 2020 update of the LPI they <a href=\"http://stats.livingplanetindex.org/\">updated this analysis</a> to show the impact of removing extreme negative, extreme positive, and both outliers combined. This is shown in the chart. Again we see the impact of removing negative extremes: removing the most severe 5% of populations turns the average 68% decline into an average <em>increase</em>. But removing positive extremes also has a large impact. When we remove even a few percent of the populations growing the most, we see an average decline of greater than 70%. Finally, if you remove both negative and positive outliers together we still see a significant average decline, although less than the reported LPI of 68%. If we remove the most extreme 10% of populations we get a 42% average decline since 1970.</p>\n\n\n\n<p>In response to this criticism to the sensitivity of the LPI to outliers, the authors tested this sensitivity in the 2022 report. To do this they removed 2.5%, 5% and 10% of the most extreme declining and increasing populations, and recalculated the index each time. While they got slightly different results from the 69% average decline reported, the overall trend is very similar in each one.</p>\n\n\n\n<p>This suggests that the final result is not mostly driven by the combination of extreme declines and increases. It might be the case that populations that have experienced very large increases cancel out the impact of very large declines. That would mean the overall result is not affected much when <em>both</em> are removed.</p>\n\n\n\n<p>Regardless of how much of the final result is driven by extreme outliers, this discussion highlights the continued issue of trying to summarise global biodiversity trends into a single index number. </p>\n\n\n\n<p>What is more useful for conservation is looking at clustered declines: cutting through the average to identify where and what types of populations are seeing dramatic declines. Leung et al. (2020) highlighted several clusters of species that have struggled: reptile, amphibian and mammal species across Latin America; Indo-Malayan freshwater birds and amphibians; Arctic mammals; and both marine and freshwater fishes across most of the world\u2019s environments.</p>\n</div>\n\n\n\n<div class=\"wp-block-column\"></div>\n</div>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" width=\"2496\" height=\"676\" src=\"https://owid.cloud/app/uploads/2021/03/LPI-Outliers-2020.png\" alt=\"\" class=\"wp-image-42268\" srcset=\"https://owid.cloud/app/uploads/2021/03/LPI-Outliers-2020.png 2496w, https://owid.cloud/app/uploads/2021/03/LPI-Outliers-2020-400x108.png 400w, https://owid.cloud/app/uploads/2021/03/LPI-Outliers-2020-800x217.png 800w, https://owid.cloud/app/uploads/2021/03/LPI-Outliers-2020-150x41.png 150w, https://owid.cloud/app/uploads/2021/03/LPI-Outliers-2020-768x208.png 768w, https://owid.cloud/app/uploads/2021/03/LPI-Outliers-2020-1536x416.png 1536w, https://owid.cloud/app/uploads/2021/03/LPI-Outliers-2020-2048x555.png 2048w\" sizes=\"(max-width: 2496px) 100vw, 2496px\" /><figcaption>Impact of removing positive or negative outliers from the Living Planet Index{ref}WWF (2020). <a href=\"https://livingplanet.panda.org/\">Living Planet Report 2020 – Bending the curve of biodiversity loss</a>. Almond, R.E.A., Grooten M. and Petersen, T. (Eds). WWF, Gland, Switzerland.{/ref}</figcaption></figure>\n\n</content>\n\t</block>\n\n\n<h3>Explore more of our work on <em>Biodiversity</em></h3>\n\n\n <block type=\"prominent-link\" style=\"is-style-thin\">\n <link-url>https://ourworldindata.org/living-planet-index#how-does-the-living-planet-index-vary-across-the-world</link-url>\n <title>How does the Living Planet Index vary across the world?</title>\n <content></content>\n <figure><img width=\"768\" height=\"1\" src=\"https://owid.cloud/app/uploads/2021/05/living-planet-index-by-region.svg\" class=\"attachment-medium_large size-medium_large\" alt=\"\" loading=\"lazy\" height=\"600\" width=\"850\" /></figure>\n </block>\n\n <block type=\"prominent-link\" style=\"is-style-thin\">\n <link-url>https://ourworldindata.org/living-planet-index#how-the-living-planet-project-helps-us-understand-how-the-world-s-wildlife-is-changing</link-url>\n <title>How the Living Planet project helps us understand how the world\u2019s wildlife is changing</title>\n <content>\n\n<p></p>\n\n</content>\n <figure><img width=\"768\" height=\"404\" src=\"https://owid.cloud/app/uploads/2021/03/Living-Planet-Index-thumbnail-768x404.png\" class=\"attachment-medium_large size-medium_large\" alt=\"\" loading=\"lazy\" srcset=\"https://owid.cloud/app/uploads/2021/03/Living-Planet-Index-thumbnail-768x404.png 768w, https://owid.cloud/app/uploads/2021/03/Living-Planet-Index-thumbnail-400x210.png 400w, https://owid.cloud/app/uploads/2021/03/Living-Planet-Index-thumbnail-800x421.png 800w, https://owid.cloud/app/uploads/2021/03/Living-Planet-Index-thumbnail-150x79.png 150w, https://owid.cloud/app/uploads/2021/03/Living-Planet-Index-thumbnail.png 1200w\" sizes=\"(max-width: 768px) 100vw, 768px\" /></figure>\n </block>", "protected": false }, "excerpt": { "rendered": "The Living Planet Index is the biodiversity metric that always claims the headlines. It’s often misinterpreted. How should we understand it?", "protected": false }, "date_gmt": "2022-10-13T09:00:00", "modified": "2023-06-09T21:37:02", "template": "", "categories": [ 1 ], "ping_status": "closed", "authors_name": [ "Hannah Ritchie" ], "modified_gmt": "2023-06-09T20:37:02", "comment_status": "closed", "featured_media": 42160, "featured_media_paths": { "thumbnail": "/app/uploads/2021/03/Living-Planet-Index-thumbnail-150x79.png", "medium_large": "/app/uploads/2021/03/Living-Planet-Index-thumbnail-768x404.png" } }

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Living Planet Index: what does an average decline of 69% really mean?

living-planet-index-decline

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<div class="blog-info"> <p>Our World in Data presents the data and research to make progress against the world’s largest problems.<br>This blog post draws on data and research discussed in our entry on <strong><a href="https://ourworldindata.org/biodiversity" target="_blank" rel="noopener">Biodiversity</a></strong>.</p> </div>    <p>The Living Planet Index is the biodiversity metric that always claims the headlines. Unfortunately, many of these headlines are wrong. The index is very easy to misinterpret.</p>   <p>The Living Planet Index reports an average decline of 69% across tens of thousands of wildlife populations since 1970. This does not tell us anything about the number of individuals, species or populations lost, or even the share of populations that are shrinking.</p>   <p>Before reporting on the Living Planet Index we should understand what it actually tells us about the world’s wildlife. We should also be aware of the misconceptions and pitfalls of using this index to capture the changes in more than 30,000 of the world’s animal populations.</p>     <p>“<a href="https://www.indiatimes.com/news/india/last-50-years-earth-lost-68-percent-of-wildlife-85-percent-wetlands-because-of-humans-522447.html#:~:text=5%20months%20ago-,In%20The%20Last%2050%20Years%2C%20Earth%20Has%20Lost%2068%25%20Of,All%20Thanks%20To%20Us%20Humans&text=Global%20animal%2C%20bird%2C%20and%20fish,a%20new%20report%20has%20stated.">In the last 50 years, Earth has lost 68% of wildlife, all thanks to us humans</a>” (India Times)</p>   <p>“<a href="https://www.theguardian.com/environment/2018/oct/30/humanity-wiped-out-animals-since-1970-major-report-finds">Humanity has wiped out 60% of animal populations since 1970, report finds</a>” (The Guardian)</p>   <p>“<a href="https://www.weforum.org/agenda/2018/10/weve-lost-60-of-wildlife-in-less-than-50-years/">We've lost 60% of wildlife in less than 50 years</a>” (World Economic Forum)</p>   <p>These are just three of many headlines covering the <a href="https://www.livingplanetindex.org/home/index">Living Planet Index</a>. But they are all wrong. They are based on a misunderstanding of what the Living Planet Index shows. </p>   <p>I sympathize with the journalists. Interpreting this metric is hard. I’m sure I’ve made similar mistakes in the past: using the terms ‘decline’, ‘lost’, and ‘fall’ interchangeably in biodiversity discussions. Combine this with the complexities of ‘populations’, ‘species’ and ‘extinctions’, and it gets complicated pretty quickly.</p>   <p>Before reporting on the Living Planet Index we should understand what it actually tells us about the world’s wildlife. We should also be aware of the misconceptions and pitfalls of using this index to capture the changes in more than 30,000 of the world’s animal populations.</p>   <h3>What does ‘average decline’ actually mean?</h3>   <div class="wp-block-columns"> <div class="wp-block-column"> <p>The Living Planet Index (LPI) measures the <em>average change</em> in the number of individuals across the world’s animal populations. A ‘population’ is defined as a species within a geographical area. So, despite being the same species, the African elephant in South Africa and Tanzania are counted as different populations.</p>   <p>Let’s take a look at an example. This will not only show us how easily this figure can be misinterpreted but also why we should be careful when assuming that it gives us an accurate picture of what’s really happening to all wildlife populations.</p>   <p>We’re going to take a real-life example of two populations of the <a href="http://ourworldindata.org/mammals#rhinos">Black rhino</a>: one in Tanzania and one in Botswana. In the first row of the table, we see their population size in 1980: there were 3795 rhinos in Tanzania, and only 30 in Botswana. In the following decades intense poaching in Tanzania has plunged its population to critically endangered status: in the second row we see that by 2017 there were only 160 rhinos left. Things in Botswana actually improved over time: its 30 rhinos increased to 50. The difference between their population size in 1980 and 2017 is shown in the third row: this represents the number of animals lost over time. And in the final row, we see the percentage change in population size for each.<br><br>The Tanzanian rhinos obviously did not fare well: they lost 96% of their population. The group in Botswana did much better. In fact, their numbers <em>increased </em>by 67%.</p>   <p>If we calculate the average change of these two populations we get a value of -15%. Take the average of the change in Tanzania (-96%) and Botswana (67%). This means the Black rhinos saw an average decline of 15%.</p>   <p>Here, things get slightly more complex, because the actual LPI is calculated in a similar way but with one difference. It doesn’t just take the mean change across populations (called the <em>arithmetic mean</em>), it takes the <em>geometric</em> <em>mean</em>.{ref}The geometric mean is calculated by multiplying the numbers and taking the square root of the product (if there are two populations); cube root (if there are three populations); etc. It's often slightly better for calculating averages on rates of change.</p>   <p>Buckland, S. T., Studeny, A. C., Magurran, A. E., Illian, J. B., & Newson, S. E. (2011). <a href="https://esajournals.onlinelibrary.wiley.com/doi/10.1890/ES11-00186.1">The geometric mean of relative abundance indices: a biodiversity measure with a difference</a>. <em>Ecosphere</em>, <em>2</em>(9), 1-15.{/ref} The geometric mean across these two populations is -74%.{ref}We can calculate this by taking the geometric mean of 1.67 and 0.04 (which is the +67% and -96%) of the two populations. This gives us 0.26. That means (1 - 0.26) = a 74% decline.{/ref}<br><br>Let's keep that in mind. I'll continue to also explain this using the <em>arithmetic</em> mean because it's easier to follow and understand. But it's the geometric mean that the LPI uses. The numbers are different, but their implications are similar.</p>   <p>The common misinterpretation of these numbers – where headlines would incorrectly report that “we’ve <em>lost</em> 15% [or 74%] of animals” – is shown in the far right column. There we’ve summed these numbers to show the two populations combined. In 1980, the total number of animals was 3825. We then lost 3615 of them, to give us only 210 in 2017. This means we actually lost 95% of the rhinos. The LPI is therefore a different measure from the number or percentage of individual animals lost. </p>   <p>But this also highlights an even greater danger when reporting the LPI. By averaging these two populations we’ve ended up pretty clueless about the status of either of them. Either a 15% [or 74% using the geometric mean] decline would give a skewed understanding of the situation. The Black rhino in Tanzania has lost 96% of its rhinos and has become critically endangered. On the other hand, something is going right in Botswana because its numbers have <em>increased</em>. Both of these outcomes would be missed.</p>   <p>This might mean we don’t prioritize the Tanzanian black rhino when we really need to. And we might lose out on an important lesson from Botswana on how to increase numbers in critically endangered populations. This is why a more population-specific approach to conservation is needed, as I discuss in the dropdown box at the end of this article.</p> </div>   <div class="wp-block-column"> <figure class="wp-block-table"><table><tbody><tr><td></td><td>Black rhino (Tanzania)</td><td>Black rhino (Botswana)</td><td><em>Total</em><em> (Tanzanian and Botswananian black rhinos)</em></td></tr><tr><td>Population size in 1980</td><td>3795</td><td>30</td><td><em>3825</em></td></tr><tr><td>Population size in 2017</td><td>160</td><td>50</td><td><em>210</em></td></tr><tr><td>Number of animals lost since 1980</td><td>3635</td><td>-20 (gained 20 rhinos)</td><td><em>3615</em></td></tr><tr><td>Percentage change in population size</td><td>-96%</td><td>+67%</td><td><em>-95%</em></td></tr></tbody></table></figure> </div> </div>   <h3>The Living Planet Index tells us that studied animal populations have seen an <em>average</em> relative decline of 69% since 1970</h3>   <div class="wp-block-columns"> <div class="wp-block-column"> <p>Let’s then dig into the actual results of the LPI. The above headline is the main message of the 2022 Living Planet Index report.{ref}WWF (2022) <em>Living Planet Report 2022 – Building a nature-positive society</em>. Almond, R.E.A., Grooten, M., Juffe Bignoli, D. & Petersen, T. (Eds). WWF, Gland, Switzerland.{/ref} It tells us that from 1970 to 2018, there was an <em>average decline</em> of 69% across studied animal populations.<br><br>What types and how much of the world’s wildlife does the LPI cover? In the latest report it covered 31,821 populations of 5,230 species across the world. It only covers vertebrate species – mammals, birds, fish, reptiles and amphibians. </p>   <p>It includes a large number of populations from each world region. In the latest report, the authors significantly increased the number of studies that were included in languages other than English. The number of included species from Asia and the Pacific increased by a quarter since the 2020 report. For Africa, species coverage increased by 37%. And most notably, it expanded by 66% across Latin America and the Caribbean.</p>   <p>This is great progress. However, the tropics <a href="https://ourworldindata.org/living-planet-index#how-many-species-does-it-cover-what-is-the-geographical-range-of-this-coverage">are still underrepresented</a> relative to Europe and North America. This is not ideal, considering the tropics are home to the greatest diversity of species and is where wildlife is most threatened.</p>   <p>This reveals two further limitations. First, it only covers a tiny percentage of species: Only 16% of known bird species; 11% of mammals; 6% of fish; and 3% of amphibians and reptile species. It’s hard to say how representative the available data is: it’s often the case that the species we are most concerned about (deservedly) get the most attention in the research. Second, many taxonomic groups are not included at all – nothing on insects, fungi, coral or plants. This is largely due to data availability – it’s easier to count bears than ants. Still, we should be wary of generalizing these results to all life on Earth. <em>[In our </em><a href="/faq-living-planet-index" target="_blank" rel="noreferrer noopener"><em>FAQ on the Living Planet Index</em></a><em> I look at the geographical and species breakdown of data availability, and where it’s sourced from]</em>.</p>   <p>The global LPI is shown in the chart, where the value in 1970 is indexed to 100%. As we see, this has fallen to 31% in 2018, signifying a 69% decline.</p>   <p>To be clear once again: the LPI <em>does not</em> tell us the number of species, populations or individuals lost; the number of extinctions that have occurred; or even the share of species that are declining. It tells us that between 1970 and 2018, on average, there was a 69% decline in population size across the 31,821 studied populations.</p> </div>   <div class="wp-block-column"> <iframe src="https://ourworldindata.org/grapher/global-living-planet-index" loading="lazy" style="width: 100%; height: 600px; border: 0px none;"></iframe> </div> </div>   <h3>Effective conservation means we have to look past the average</h3>   <div class="wp-block-columns"> <div class="wp-block-column"> <p>To tell the real story on biodiversity, we have to be conscious of how the headlines are communicated. Losing 69% of the world’s wildlife within decades would be devastating. Thankfully it isn’t true.</p>   <p>But, this shouldn’t detract from the fact that the loss of many wildlife populations is deeply concerning. Unfortunately, averages are not particularly helpful in understanding <em>what</em> and <em>where</em> these populations are. When we look at more detailed analyses of the LPI we find that actually this 69% average decline hides even more drastic declines in some populations. </p>   <p>If we want to protect our most endangered species, these are the ones we need to prioritize. The average index unfortunately hides these populations from view.</p>   <p>We need to not only be careful with how we report the headline index itself. But we also need to be aware of what it does, or more importantly, does not tell us about how global wildlife is changing. As I cover in a <strong><a href="https://owid.cloud/living-planet-index-understanding" data-type="post" data-id="43032">related article</a></strong>, the Living Planet database itself is an incredible resource that allows us to dig deeper into the individual stories of the 30,000 populations that have been reduced to a single number.</p> </div>   <div class="wp-block-column"></div> </div>   <hr class="wp-block-separator"/>    <h3>Is the Living Planet Index sensitive to outliers?</h3>   <div class="wp-block-columns"> <div class="wp-block-column"> <p>An average isn’t helpful – we need to know <em>where</em> and <em>what</em> animal populations are in greatest danger. Some are doing much worse than the headline suggests, but they get lost in the averages. This means we can’t focus our efforts on protecting the species that need it the most.  </p>   <p>We should also be careful about what the average actually tells us. It can, quite easily, be sensitive to outliers: populations that have seen a dramatic decline or increase.</p>   <p>We'll look at a simple example: let’s say we had an ecosystem where one population saw a decline of 99%, and 393 other populations each <em>increased</em> by 1%. Our final result would report an average decline of 50%.{ref}Leung, B., Hargreaves, A. L., Greenberg, D. A., McGill, B., Dornelas, M., & Freeman, R. (2020). <a href="https://www.nature.com/articles/s41586-020-2920-6">Clustered versus catastrophic global vertebrate declines</a>. <em>Nature</em>, <em>588</em>(7837), 267-271.{/ref} This is the difference between what we’d call a ‘catastrophic decline’ (a decline across most or all species) versus a ‘cluster decline’ (where it is a very specific set of species that are struggling). Our approach to tackling either of these scenarios would be very different.</p>   <p>After the publication of the 2018 Living Planet Index report, researchers published a follow-up study in <em>Nature </em>where they looked at how the LPI was affected by extreme declines (or increases) in a small subset of the studied populations.{ref}Leung, B., Hargreaves, A. L., Greenberg, D. A., McGill, B., Dornelas, M., & Freeman, R. (2020). <a href="https://www.nature.com/articles/s41586-020-2920-6">Clustered versus catastrophic global vertebrate declines</a>. <em>Nature</em>, <em>588</em>(7837), 267-271.{/ref} For this study they looked at the results of the 2018 LPI report. It reported a 60% average decline in wildlife populations since 1970.{ref} WWF. <a href="https://www.worldwildlife.org/pages/living-planet-report-2018">Living Planet Report 2018: Aiming Higher</a> (eds. Grooten, N. & Almond, R. E. A.) (WWF, 2018).{/ref} </p>   <p>By looking at the population data underlying the LPI they found that this 60% average decline was driven by extreme losses in a small subset of populations. If you excluded the 2.4% most-strongly declining populations – which was 356 out of 14,700 – the result reversed from a 60% average decline to a slightly positive growth. In other words, 2% to 3% of populations were doing <em>extremely </em>badly, but it appears that most species were doing okay.</p>   <p>In the chart we see how the 2018 LPI result would have been affected by excluding the most extreme-negative populations. In red we see the final headline result of the report – a 60% average decline across the 14,700 populations. But as we exclude the most extreme negative populations, first 120 then 238 populations, we see that this average decline reduces significantly. Then, when we exclude the 356 most-severe populations, not only does the average decline reduce, it actually turns into a net positive. The abundance across these populations was, on average, <em>increasing</em>.</p> </div>   <div class="wp-block-column"> <figure class="wp-block-image size-full"><img src="https://owid.cloud/app/uploads/2021/03/Impact-of-extremes-on-living-planet-index.png" alt="" class="wp-image-42267"/></figure> </div> </div>   <div class="wp-block-columns"> <div class="wp-block-column"> <p>But, extreme <em>positive</em> outliers can also have a strong impact on the final result. In the 2020 update of the LPI they <a href="http://stats.livingplanetindex.org/">updated this analysis</a> to show the impact of removing extreme negative, extreme positive, and both outliers combined. This is shown in the chart. Again we see the impact of removing negative extremes: removing the most severe 5% of populations turns the average 68% decline into an average <em>increase</em>. But removing positive extremes also has a large impact. When we remove even a few percent of the populations growing the most, we see an average decline of greater than 70%. Finally, if you remove both negative and positive outliers together we still see a significant average decline, although less than the reported LPI of 68%. If we remove the most extreme 10% of populations we get a 42% average decline since 1970.</p>   <p>In response to this criticism to the sensitivity of the LPI to outliers, the authors tested this sensitivity in the 2022 report. To do this they removed 2.5%, 5% and 10% of the most extreme declining and increasing populations, and recalculated the index each time. While they got slightly different results from the 69% average decline reported, the overall trend is very similar in each one.</p>   <p>This suggests that the final result is not mostly driven by the combination of extreme declines and increases. It might be the case that populations that have experienced very large increases cancel out the impact of very large declines. That would mean the overall result is not affected much when <em>both</em> are removed.</p>   <p>Regardless of how much of the final result is driven by extreme outliers, this discussion highlights the continued issue of trying to summarise global biodiversity trends into a single index number. </p>   <p>What is more useful for conservation is looking at clustered declines: cutting through the average to identify where and what types of populations are seeing dramatic declines. Leung et al. (2020) highlighted several clusters of species that have struggled: reptile, amphibian and mammal species across Latin America; Indo-Malayan freshwater birds and amphibians; Arctic mammals; and both marine and freshwater fishes across most of the world’s environments.</p> </div>   <div class="wp-block-column"></div> </div>   <figure class="wp-block-image size-full"><img src="https://owid.cloud/app/uploads/2021/03/LPI-Outliers-2020.png" alt="" class="wp-image-42268"/><figcaption>Impact of removing positive or negative outliers from the Living Planet Index{ref}WWF (2020). <a href="https://livingplanet.panda.org/">Living Planet Report 2020 - Bending the curve of biodiversity loss</a>. Almond, R.E.A., Grooten M. and Petersen, T. (Eds). WWF, Gland, Switzerland.{/ref}</figcaption></figure>    <h3>Explore more of our work on <em>Biodiversity</em></h3>     <p></p>

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                                "text": "The Living Planet Index is the biodiversity metric that always claims the headlines. Unfortunately, many of these headlines are wrong. The index is very easy to misinterpret.",
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                                "text": "The Living Planet Index reports an average decline of 69% across tens of thousands of wildlife populations since 1970. This does not tell us anything about the number of individuals, species or populations lost, or even the share of populations that are shrinking.",
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                                "text": "Before reporting on the Living Planet Index we should understand what it actually tells us about the world\u2019s wildlife. We should also be aware of the misconceptions and pitfalls of using this index to capture the changes in more than 30,000 of the world\u2019s animal populations.",
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                        "text": "\u201c",
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                        "url": "https://www.indiatimes.com/news/india/last-50-years-earth-lost-68-percent-of-wildlife-85-percent-wetlands-because-of-humans-522447.html#:~:text=5%20months%20ago-,In%20The%20Last%2050%20Years%2C%20Earth%20Has%20Lost%2068%25%20Of,All%20Thanks%20To%20Us%20Humans&text=Global%20animal%2C%20bird%2C%20and%20fish,a%20new%20report%20has%20stated.",
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                                "text": "In the last 50 years, Earth has lost 68% of wildlife, all thanks to us humans",
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                                "text": "Humanity has wiped out 60% of animal populations since 1970, report finds",
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                                "text": "We've lost 60% of wildlife in less than 50 years",
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                        "text": "These are just three of many headlines covering the ",
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                        "text": ". But they are all wrong. They are based on a misunderstanding of what the Living Planet Index shows.\u00a0",
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                        "text": "I sympathize with the journalists. Interpreting this metric is hard. I\u2019m sure I\u2019ve made similar mistakes in the past: using the terms \u2018decline\u2019, \u2018lost\u2019, and \u2018fall\u2019 interchangeably in biodiversity discussions. Combine this with the complexities of \u2018populations\u2019, \u2018species\u2019 and \u2018extinctions\u2019, and it gets complicated pretty quickly.",
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                        "text": "Before reporting on the Living Planet Index we should understand what it actually tells us about the world\u2019s wildlife. We should also be aware of the misconceptions and pitfalls of using this index to capture the changes in more than 30,000 of the world\u2019s animal populations.",
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                        "text": "What does \u2018average decline\u2019 actually mean?",
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                                "text": "The Living Planet Index (LPI) measures the ",
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                                "text": " in the number of individuals across the world\u2019s animal populations. A \u2018population\u2019 is defined as a species within a geographical area. So, despite being the same species, the African elephant in South Africa and Tanzania are counted as different populations.",
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                                "text": "Let\u2019s take a look at an example. This will not only show us how easily this figure can be misinterpreted but also why we should be careful when assuming that it gives us an accurate picture of what\u2019s really happening to all wildlife populations.",
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                                "text": "We\u2019re going to take a real-life example of two populations of the ",
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                                "text": ": one in Tanzania and one in Botswana. In the first row of the table, we see their population size in 1980: there were 3795 rhinos in Tanzania, and only 30 in Botswana. In the following decades intense poaching in Tanzania has plunged its population to critically endangered status: in the second row we see that by 2017 there were only 160 rhinos left. Things in Botswana actually improved over time: its 30 rhinos increased to 50. The difference between their population size in 1980 and 2017 is shown in the third row: this represents the number of animals lost over time. And in the final row, we see the percentage change in population size for each.",
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                                "text": "The Tanzanian rhinos obviously did not fare well: they lost 96% of their population. The group in Botswana did much better. In fact, their numbers ",
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                                "text": "If we calculate the average change of these two populations we get a value of -15%. Take the average of the change in Tanzania (-96%) and Botswana (67%). This means the Black rhinos saw an average decline of 15%.",
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                                "text": "Here, things get slightly more complex, because the actual LPI is calculated in a similar way but with one difference. It doesn\u2019t just take the mean change across populations (called the ",
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                                "text": ".{ref}The geometric mean is calculated by multiplying the numbers and taking the square root of the product (if there are two populations); cube root (if there are three populations); etc. It's often slightly better for calculating averages on rates of change.",
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                                "text": "Buckland, S. T., Studeny, A. C., Magurran, A. E., Illian, J. B., & Newson, S. E. (2011). ",
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                                        "text": "The geometric mean of relative abundance indices: a biodiversity measure with a difference",
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                                "text": ". ",
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                                "text": "(9), 1-15.{/ref} The geometric mean across these two populations is -74%.{ref}We can calculate this by taking the geometric mean of 1.67 and 0.04 (which is the +67% and -96%) of the two populations. This gives us 0.26. That means (1 - 0.26) = a 74% decline.{/ref}",
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                                "text": "Let's keep that in mind. I'll continue to also explain this using the ",
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                                "text": " mean because it's easier to follow and understand. But it's the geometric mean that the LPI uses. The numbers are different, but their implications are similar.",
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                                "text": "The common misinterpretation of these numbers \u2013 where headlines would incorrectly report that \u201cwe\u2019ve ",
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                                "text": " 15% [or 74%] of animals\u201d \u2013 is shown in the far right column. There we\u2019ve summed these numbers to show the two populations combined. In 1980, the total number of animals was 3825. We then lost 3615 of them, to give us only 210 in 2017. This means we actually lost 95% of the rhinos. The LPI is therefore a different measure from the number or percentage of individual animals lost.\u00a0",
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                                "text": "But this also highlights an even greater danger when reporting the LPI. By averaging these two populations we\u2019ve ended up pretty clueless about the status of either of them. Either a 15% [or 74% using the geometric mean] decline would give a skewed understanding of the situation. The Black rhino in Tanzania has lost 96% of its rhinos and has become critically endangered. On the other hand, something is going right in Botswana because its numbers have ",
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                                        "text": "increased",
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                                "text": ". Both of these outcomes would be missed.",
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                                "text": "This might mean we don\u2019t prioritize the Tanzanian black rhino when we really need to. And we might lose out on an important lesson from Botswana on how to increase numbers in critically endangered populations. This is why a more population-specific approach to conservation is needed, as I discuss in the dropdown box at the end of this article.",
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                        "value": "<div class=\"raw-html-table__container\"><table><tbody><tr><td></td><td>Black rhino (Tanzania)</td><td>Black rhino&nbsp;(Botswana)</td><td><em>Total</em><em>&nbsp;(Tanzanian and Botswananian black rhinos)</em></td></tr><tr><td>Population size in 1980</td><td>3795</td><td>30</td><td><em>3825</em></td></tr><tr><td>Population size in 2017</td><td>160</td><td>50</td><td><em>210</em></td></tr><tr><td>Number of animals lost since 1980</td><td>3635</td><td>-20&nbsp;(gained 20 rhinos)</td><td><em>3615</em></td></tr><tr><td>Percentage change in population size</td><td>-96%</td><td>+67%</td><td><em>-95%</em></td></tr></tbody></table></div>",
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                "text": [
                    {
                        "text": "The Living Planet Index tells us that studied animal populations have seen an ",
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                                "text": "average",
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                        "text": " relative decline of 69% since 1970",
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                                "text": "Let\u2019s then dig into the actual results of the LPI. The above headline is the main message of the 2022 Living Planet Index report.{ref}WWF (2022) ",
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                            },
                            {
                                "children": [
                                    {
                                        "text": "Living Planet Report 2022 \u2013 Building a nature-positive society",
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                            },
                            {
                                "text": ". Almond, R.E.A., Grooten, M., Juffe Bignoli, D. & Petersen, T. (Eds). WWF, Gland, Switzerland.{/ref} It tells us that from 1970 to 2018, there was an ",
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                            },
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                                        "text": "average decline",
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                                "text": " of 69% across studied animal populations.",
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                                "text": "What types and how much of the world\u2019s wildlife does the LPI cover? In the latest report it covered 31,821 populations of 5,230 species across the world. It only covers vertebrate species \u2013 mammals, birds, fish, reptiles and amphibians. ",
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                                "text": "It includes a large number of populations from each world region. In the latest report, the authors significantly increased the number of studies that were included in languages other than English. The number of included species from Asia and the Pacific increased by a quarter since the 2020 report. For Africa, species coverage increased by 37%. And most notably, it expanded by 66% across Latin America and the Caribbean.",
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                                "text": "This is great progress. However, the tropics ",
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                                "url": "https://ourworldindata.org/living-planet-index#how-many-species-does-it-cover-what-is-the-geographical-range-of-this-coverage",
                                "children": [
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                                        "text": "are still underrepresented",
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                            {
                                "text": " relative to Europe and North America. This is not ideal, considering the tropics are home to the greatest diversity of species and is where wildlife is most threatened.",
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                                "text": "This reveals two further limitations. First, it only covers a tiny percentage of species: Only 16% of known bird species; 11% of mammals; 6% of fish; and 3% of amphibians and reptile species. It\u2019s hard to say how representative the available data is: it\u2019s often the case that the species we are most concerned about (deservedly) get the most attention in the research. Second, many taxonomic groups are not included at all \u2013 nothing on insects, fungi, coral or plants. This is largely due to data availability \u2013 it\u2019s easier to count bears than ants. Still, we should be wary of generalizing these results to all life on Earth. ",
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                                "children": [
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                                        "text": "[In our ",
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                                "url": "/faq-living-planet-index",
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                                        "children": [
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                                                "text": "FAQ on the Living Planet Index",
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                                        "text": " I look at the geographical and species breakdown of data availability, and where it\u2019s sourced from]",
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                                "text": ".",
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                                "text": "The global LPI is shown in the chart, where the value in 1970 is indexed to 100%. As we see, this has fallen to 31% in 2018, signifying a 69% decline.",
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                                "text": "To be clear once again: the LPI ",
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                                        "text": "does not",
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                                "text": " tell us the number of species, populations or individuals lost; the number of extinctions that have occurred; or even the share of species that are declining. It tells us that between 1970 and 2018, on average, there was a 69% decline in population size across the 31,821 studied populations.",
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                        "text": "Effective conservation means we have to look past the average",
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                        "text": "To tell the real story on biodiversity, we have to be conscious of how the headlines are communicated. Losing 69% of the world\u2019s wildlife within decades would be devastating. Thankfully it isn\u2019t true.",
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                        "text": "But, this shouldn\u2019t detract from the fact that the loss of many wildlife populations is deeply concerning. Unfortunately, averages are not particularly helpful in understanding ",
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                        "children": [
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                                "text": "what",
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                        "text": " and ",
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                                "text": "where",
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                        "text": " these populations are. When we look at more detailed analyses of the LPI we find that actually this 69% average decline hides even more drastic declines in some populations. ",
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                        "text": "If we want to protect our most endangered species, these are the ones we need to prioritize. The average index unfortunately hides these populations from view.",
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                        "text": "We need to not only be careful with how we report the headline index itself. But we also need to be aware of what it does, or more importantly, does not tell us about how global wildlife is changing. As I cover in a ",
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                        "children": [
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                                "url": "https://owid.cloud/living-planet-index-understanding",
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                                        "text": "related article",
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                        "text": ", the Living Planet database itself is an incredible resource that allows us to dig deeper into the individual stories of the 30,000 populations that have been reduced to a single number.",
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                                "text": "Additional information",
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                                                "text": "An average isn\u2019t helpful \u2013 we need to know ",
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                                                "children": [
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                                                        "text": "where",
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                                                "text": " and ",
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                                                "text": " animal populations are in greatest danger. Some are doing much worse than the headline suggests, but they get lost in the averages. This means we can\u2019t focus our efforts on protecting the species that need it the most.\u00a0\u00a0",
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                                                "text": "We should also be careful about what the average actually tells us. It can, quite easily, be sensitive to outliers: populations that have seen a dramatic decline or increase.",
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                                                "text": "We'll look at a simple example: let\u2019s say we had an ecosystem where one population saw a decline of 99%, and 393 other populations each ",
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                                                "text": " by 1%. Our final result would report an average decline of 50%.{ref}Leung, B., Hargreaves, A. L., Greenberg, D. A., McGill, B., Dornelas, M., & Freeman, R. (2020). ",
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                                                "url": "https://www.nature.com/articles/s41586-020-2920-6",
                                                "children": [
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                                                        "text": "Clustered versus catastrophic global vertebrate declines",
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                                                "text": ". ",
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                                                        "text": "Nature",
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                                                "text": ", ",
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                                                "text": "(7837), 267-271.{/ref} This is the difference between what we\u2019d call a \u2018catastrophic decline\u2019 (a decline across most or all species) versus a \u2018cluster decline\u2019 (where it is a very specific set of species that are struggling). Our approach to tackling either of these scenarios would be very different.",
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                                                "text": "After the publication of the 2018 Living Planet Index report, researchers published a follow-up study in ",
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                                                "text": "where they looked at how the LPI was affected by extreme declines (or increases) in a small subset of the studied populations.{ref}Leung, B., Hargreaves, A. L., Greenberg, D. A., McGill, B., Dornelas, M., & Freeman, R. (2020). ",
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                                                "text": "(7837), 267-271.{/ref} For this study they looked at the results of the 2018 LPI report. It reported a 60% average decline in wildlife populations since 1970.{ref} WWF. ",
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                                                "url": "https://www.worldwildlife.org/pages/living-planet-report-2018",
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                                                        "text": "Living Planet Report 2018: Aiming Higher",
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                                                "text": " (eds. Grooten, N. & Almond, R. E. A.) (WWF, 2018).{/ref}\u00a0",
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                                                "text": "By looking at the population data underlying the LPI they found that this 60% average decline was driven by extreme losses in a small subset of populations. If you excluded the 2.4% most-strongly declining populations \u2013 which was 356 out of 14,700 \u2013 the result reversed from a 60% average decline to a slightly positive growth. In other words, 2% to 3% of populations were doing ",
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                                                "text": "badly, but it appears that most species were doing okay.",
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                                                "text": "In the chart we see how the 2018 LPI result would have been affected by excluding the most extreme-negative populations. In red we see the final headline result of the report \u2013 a 60% average decline across the 14,700 populations. But as we exclude the most extreme negative populations, first 120 then 238 populations, we see that this average decline reduces significantly. Then, when we exclude the 356 most-severe populations, not only does the average decline reduce, it actually turns into a net positive. The abundance across these populations was, on average, ",
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                                        "text": "But, extreme ",
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                                        "text": " outliers can also have a strong impact on the final result. In the 2020 update of the LPI they ",
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                                        "text": " to show the impact of removing extreme negative, extreme positive, and both outliers combined. This is shown in the chart. Again we see the impact of removing negative extremes: removing the most severe 5% of populations turns the average 68% decline into an average ",
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                                        "text": ". But removing positive extremes also has a large impact. When we remove even a few percent of the populations growing the most, we see an average decline of greater than 70%. Finally, if you remove both negative and positive outliers together we still see a significant average decline, although less than the reported LPI of 68%. If we remove the most extreme 10% of populations we get a 42% average decline since 1970.",
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                                        "text": "In response to this criticism to the sensitivity of the LPI to outliers, the authors tested this sensitivity in the 2022 report. To do this they removed 2.5%, 5% and 10% of the most extreme declining and increasing populations, and recalculated the index each time. While they got slightly different results from the 69% average decline reported, the overall trend is very similar in each one.",
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                                        "text": "This suggests that the final result is not mostly driven by the combination of extreme declines and increases. It might be the case that populations that have experienced very large increases cancel out the impact of very large declines. That would mean the overall result is not affected much when ",
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                                        "text": "Regardless of how much of the final result is driven by extreme outliers, this discussion highlights the continued issue of trying to summarise global biodiversity trends into a single index number. ",
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                                        "text": "What is more useful for conservation is looking at clustered declines: cutting through the average to identify where and what types of populations are seeing dramatic declines. Leung et al. (2020) highlighted several clusters of species that have struggled: reptile, amphibian and mammal species across Latin America; Indo-Malayan freshwater birds and amphibians; Arctic mammals; and both marine and freshwater fishes across most of the world\u2019s environments.",
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                        "text": "Explore more of our work on ",
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                                "text": "Biodiversity",
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2024-02-27 18:56:11

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The Living Planet Index is the biodiversity metric that always claims the headlines. It's often misinterpreted. How should we understand it?

2021-05-12 17:20:09

2023-06-09 20:37:02

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Our World in Data presents the data and research to make progress against the world’s largest problems. This blog post draws on data and research discussed in our entry on **[Biodiversity](https://ourworldindata.org/biodiversity)**. <Callout title="Summary"/> “[In the last 50 years, Earth has lost 68% of wildlife, all thanks to us humans](https://www.indiatimes.com/news/india/last-50-years-earth-lost-68-percent-of-wildlife-85-percent-wetlands-because-of-humans-522447.html#:~:text=5%20months%20ago-,In%20The%20Last%2050%20Years%2C%20Earth%20Has%20Lost%2068%25%20Of,All%20Thanks%20To%20Us%20Humans&text=Global%20animal%2C%20bird%2C%20and%20fish,a%20new%20report%20has%20stated.)” (India Times) “[Humanity has wiped out 60% of animal populations since 1970, report finds](https://www.theguardian.com/environment/2018/oct/30/humanity-wiped-out-animals-since-1970-major-report-finds)” (The Guardian) “[We've lost 60% of wildlife in less than 50 years](https://www.weforum.org/agenda/2018/10/weve-lost-60-of-wildlife-in-less-than-50-years/)” (World Economic Forum) These are just three of many headlines covering the [Living Planet Index](https://www.livingplanetindex.org/home/index). But they are all wrong. They are based on a misunderstanding of what the Living Planet Index shows. I sympathize with the journalists. Interpreting this metric is hard. I’m sure I’ve made similar mistakes in the past: using the terms ‘decline’, ‘lost’, and ‘fall’ interchangeably in biodiversity discussions. Combine this with the complexities of ‘populations’, ‘species’ and ‘extinctions’, and it gets complicated pretty quickly. Before reporting on the Living Planet Index we should understand what it actually tells us about the world’s wildlife. We should also be aware of the misconceptions and pitfalls of using this index to capture the changes in more than 30,000 of the world’s animal populations. ## What does ‘average decline’ actually mean? The Living Planet Index (LPI) measures the _average change_ in the number of individuals across the world’s animal populations. A ‘population’ is defined as a species within a geographical area. So, despite being the same species, the African elephant in South Africa and Tanzania are counted as different populations. Let’s take a look at an example. This will not only show us how easily this figure can be misinterpreted but also why we should be careful when assuming that it gives us an accurate picture of what’s really happening to all wildlife populations. We’re going to take a real-life example of two populations of the [Black rhino](http://ourworldindata.org/mammals#rhinos): one in Tanzania and one in Botswana. In the first row of the table, we see their population size in 1980: there were 3795 rhinos in Tanzania, and only 30 in Botswana. In the following decades intense poaching in Tanzania has plunged its population to critically endangered status: in the second row we see that by 2017 there were only 160 rhinos left. Things in Botswana actually improved over time: its 30 rhinos increased to 50. The difference between their population size in 1980 and 2017 is shown in the third row: this represents the number of animals lost over time. And in the final row, we see the percentage change in population size for each. The Tanzanian rhinos obviously did not fare well: they lost 96% of their population. The group in Botswana did much better. In fact, their numbers _increased _by 67%. If we calculate the average change of these two populations we get a value of -15%. Take the average of the change in Tanzania (-96%) and Botswana (67%). This means the Black rhinos saw an average decline of 15%. Here, things get slightly more complex, because the actual LPI is calculated in a similar way but with one difference. It doesn’t just take the mean change across populations (called the _arithmetic mean_), it takes the _geometric__mean_.{ref}The geometric mean is calculated by multiplying the numbers and taking the square root of the product (if there are two populations); cube root (if there are three populations); etc. It's often slightly better for calculating averages on rates of change. Buckland, S. T., Studeny, A. C., Magurran, A. E., Illian, J. B., & Newson, S. E. (2011). [The geometric mean of relative abundance indices: a biodiversity measure with a difference](https://esajournals.onlinelibrary.wiley.com/doi/10.1890/ES11-00186.1). _Ecosphere_, _2_(9), 1-15.{/ref} The geometric mean across these two populations is -74%.{ref}We can calculate this by taking the geometric mean of 1.67 and 0.04 (which is the +67% and -96%) of the two populations. This gives us 0.26. That means (1 - 0.26) = a 74% decline.{/ref} Let's keep that in mind. I'll continue to also explain this using the _arithmetic_ mean because it's easier to follow and understand. But it's the geometric mean that the LPI uses. The numbers are different, but their implications are similar. The common misinterpretation of these numbers – where headlines would incorrectly report that “we’ve _lost_ 15% [or 74%] of animals” – is shown in the far right column. There we’ve summed these numbers to show the two populations combined. In 1980, the total number of animals was 3825. We then lost 3615 of them, to give us only 210 in 2017. This means we actually lost 95% of the rhinos. The LPI is therefore a different measure from the number or percentage of individual animals lost. But this also highlights an even greater danger when reporting the LPI. By averaging these two populations we’ve ended up pretty clueless about the status of either of them. Either a 15% [or 74% using the geometric mean] decline would give a skewed understanding of the situation. The Black rhino in Tanzania has lost 96% of its rhinos and has become critically endangered. On the other hand, something is going right in Botswana because its numbers have _increased_. Both of these outcomes would be missed. This might mean we don’t prioritize the Tanzanian black rhino when we really need to. And we might lose out on an important lesson from Botswana on how to increase numbers in critically endangered populations. This is why a more population-specific approach to conservation is needed, as I discuss in the dropdown box at the end of this article. <div class="raw-html-table__container"><table><tbody><tr><td></td><td>Black rhino (Tanzania)</td><td>Black rhino (Botswana)</td><td><em>Total</em><em> (Tanzanian and Botswananian black rhinos)</em></td></tr><tr><td>Population size in 1980</td><td>3795</td><td>30</td><td><em>3825</em></td></tr><tr><td>Population size in 2017</td><td>160</td><td>50</td><td><em>210</em></td></tr><tr><td>Number of animals lost since 1980</td><td>3635</td><td>-20 (gained 20 rhinos)</td><td><em>3615</em></td></tr><tr><td>Percentage change in population size</td><td>-96%</td><td>+67%</td><td><em>-95%</em></td></tr></tbody></table></div> ## The Living Planet Index tells us that studied animal populations have seen an _average_ relative decline of 69% since 1970 Let’s then dig into the actual results of the LPI. The above headline is the main message of the 2022 Living Planet Index report.{ref}WWF (2022) _Living Planet Report 2022 – Building a nature-positive society_. Almond, R.E.A., Grooten, M., Juffe Bignoli, D. & Petersen, T. (Eds). WWF, Gland, Switzerland.{/ref} It tells us that from 1970 to 2018, there was an _average decline_ of 69% across studied animal populations. What types and how much of the world’s wildlife does the LPI cover? In the latest report it covered 31,821 populations of 5,230 species across the world. It only covers vertebrate species – mammals, birds, fish, reptiles and amphibians. It includes a large number of populations from each world region. In the latest report, the authors significantly increased the number of studies that were included in languages other than English. The number of included species from Asia and the Pacific increased by a quarter since the 2020 report. For Africa, species coverage increased by 37%. And most notably, it expanded by 66% across Latin America and the Caribbean. This is great progress. However, the tropics [are still underrepresented](https://ourworldindata.org/living-planet-index#how-many-species-does-it-cover-what-is-the-geographical-range-of-this-coverage) relative to Europe and North America. This is not ideal, considering the tropics are home to the greatest diversity of species and is where wildlife is most threatened. This reveals two further limitations. First, it only covers a tiny percentage of species: Only 16% of known bird species; 11% of mammals; 6% of fish; and 3% of amphibians and reptile species. It’s hard to say how representative the available data is: it’s often the case that the species we are most concerned about (deservedly) get the most attention in the research. Second, many taxonomic groups are not included at all – nothing on insects, fungi, coral or plants. This is largely due to data availability – it’s easier to count bears than ants. Still, we should be wary of generalizing these results to all life on Earth. _[In our _[_FAQ on the Living Planet Index_](/faq-living-planet-index)_ I look at the geographical and species breakdown of data availability, and where it’s sourced from]_. The global LPI is shown in the chart, where the value in 1970 is indexed to 100%. As we see, this has fallen to 31% in 2018, signifying a 69% decline. To be clear once again: the LPI _does not_ tell us the number of species, populations or individuals lost; the number of extinctions that have occurred; or even the share of species that are declining. It tells us that between 1970 and 2018, on average, there was a 69% decline in population size across the 31,821 studied populations. <Chart url="https://ourworldindata.org/grapher/global-living-planet-index"/> ## Effective conservation means we have to look past the average To tell the real story on biodiversity, we have to be conscious of how the headlines are communicated. Losing 69% of the world’s wildlife within decades would be devastating. Thankfully it isn’t true. But, this shouldn’t detract from the fact that the loss of many wildlife populations is deeply concerning. Unfortunately, averages are not particularly helpful in understanding _what_ and _where_ these populations are. When we look at more detailed analyses of the LPI we find that actually this 69% average decline hides even more drastic declines in some populations. If we want to protect our most endangered species, these are the ones we need to prioritize. The average index unfortunately hides these populations from view. We need to not only be careful with how we report the headline index itself. But we also need to be aware of what it does, or more importantly, does not tell us about how global wildlife is changing. As I cover in a **[related article](https://owid.cloud/living-planet-index-understanding)**, the Living Planet database itself is an incredible resource that allows us to dig deeper into the individual stories of the 30,000 populations that have been reduced to a single number. ## Additional information An average isn’t helpful – we need to know _where_ and _what_ animal populations are in greatest danger. Some are doing much worse than the headline suggests, but they get lost in the averages. This means we can’t focus our efforts on protecting the species that need it the most. We should also be careful about what the average actually tells us. It can, quite easily, be sensitive to outliers: populations that have seen a dramatic decline or increase. We'll look at a simple example: let’s say we had an ecosystem where one population saw a decline of 99%, and 393 other populations each _increased_ by 1%. Our final result would report an average decline of 50%.{ref}Leung, B., Hargreaves, A. L., Greenberg, D. A., McGill, B., Dornelas, M., & Freeman, R. (2020). [Clustered versus catastrophic global vertebrate declines](https://www.nature.com/articles/s41586-020-2920-6). _Nature_, _588_(7837), 267-271.{/ref} This is the difference between what we’d call a ‘catastrophic decline’ (a decline across most or all species) versus a ‘cluster decline’ (where it is a very specific set of species that are struggling). Our approach to tackling either of these scenarios would be very different. After the publication of the 2018 Living Planet Index report, researchers published a follow-up study in _Nature _where they looked at how the LPI was affected by extreme declines (or increases) in a small subset of the studied populations.{ref}Leung, B., Hargreaves, A. L., Greenberg, D. A., McGill, B., Dornelas, M., & Freeman, R. (2020). [Clustered versus catastrophic global vertebrate declines](https://www.nature.com/articles/s41586-020-2920-6). _Nature_, _588_(7837), 267-271.{/ref} For this study they looked at the results of the 2018 LPI report. It reported a 60% average decline in wildlife populations since 1970.{ref} WWF. [Living Planet Report 2018: Aiming Higher](https://www.worldwildlife.org/pages/living-planet-report-2018) (eds. Grooten, N. & Almond, R. E. A.) (WWF, 2018).{/ref} By looking at the population data underlying the LPI they found that this 60% average decline was driven by extreme losses in a small subset of populations. If you excluded the 2.4% most-strongly declining populations – which was 356 out of 14,700 – the result reversed from a 60% average decline to a slightly positive growth. In other words, 2% to 3% of populations were doing _extremely _badly, but it appears that most species were doing okay. In the chart we see how the 2018 LPI result would have been affected by excluding the most extreme-negative populations. In red we see the final headline result of the report – a 60% average decline across the 14,700 populations. But as we exclude the most extreme negative populations, first 120 then 238 populations, we see that this average decline reduces significantly. Then, when we exclude the 356 most-severe populations, not only does the average decline reduce, it actually turns into a net positive. The abundance across these populations was, on average, _increasing_. <Image filename="Impact-of-extremes-on-living-planet-index.png" alt=""/> But, extreme _positive_ outliers can also have a strong impact on the final result. In the 2020 update of the LPI they [updated this analysis](http://stats.livingplanetindex.org/) to show the impact of removing extreme negative, extreme positive, and both outliers combined. This is shown in the chart. Again we see the impact of removing negative extremes: removing the most severe 5% of populations turns the average 68% decline into an average _increase_. But removing positive extremes also has a large impact. When we remove even a few percent of the populations growing the most, we see an average decline of greater than 70%. Finally, if you remove both negative and positive outliers together we still see a significant average decline, although less than the reported LPI of 68%. If we remove the most extreme 10% of populations we get a 42% average decline since 1970. In response to this criticism to the sensitivity of the LPI to outliers, the authors tested this sensitivity in the 2022 report. To do this they removed 2.5%, 5% and 10% of the most extreme declining and increasing populations, and recalculated the index each time. While they got slightly different results from the 69% average decline reported, the overall trend is very similar in each one. This suggests that the final result is not mostly driven by the combination of extreme declines and increases. It might be the case that populations that have experienced very large increases cancel out the impact of very large declines. That would mean the overall result is not affected much when _both_ are removed. Regardless of how much of the final result is driven by extreme outliers, this discussion highlights the continued issue of trying to summarise global biodiversity trends into a single index number. What is more useful for conservation is looking at clustered declines: cutting through the average to identify where and what types of populations are seeing dramatic declines. Leung et al. (2020) highlighted several clusters of species that have struggled: reptile, amphibian and mammal species across Latin America; Indo-Malayan freshwater birds and amphibians; Arctic mammals; and both marine and freshwater fishes across most of the world’s environments. <Image filename="LPI-Outliers-2020.png" alt=""/> ## Explore more of our work on _Biodiversity_ ### How does the Living Planet Index vary across the world? https://ourworldindata.org/living-planet-index#how-does-the-living-planet-index-vary-across-the-world ### How the Living Planet project helps us understand how the world’s wildlife is changing https://ourworldindata.org/living-planet-index#how-the-living-planet-project-helps-us-understand-how-the-world-s-wildlife-is-changing

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        "rendered": "\n<div class=\"blog-info\">\n<p>Our World in Data presents the data and research to make progress against the world\u2019s largest problems.<br>This blog post draws on data and research discussed in our entry on <strong><a href=\"https://ourworldindata.org/biodiversity\" target=\"_blank\" rel=\"noopener\">Biodiversity</a></strong>.</p>\n</div>\n\n\n\t<div class=\"wp-block-owid-summary\">\n\t\t<h2>Summary</h2>\n\t\t\n\n<p>The Living Planet Index is the biodiversity metric that always claims the headlines. Unfortunately, many of these headlines are wrong. The index is very easy to misinterpret.</p>\n\n\n\n<p>The Living Planet Index reports an average decline of 69% across tens of thousands of wildlife populations since 1970. This does not tell us anything about the number of individuals, species or populations lost, or even the share of populations that are shrinking.</p>\n\n\n\n<p>Before reporting on the Living Planet Index we should understand what it actually tells us about the world\u2019s wildlife. We should also be aware of the misconceptions and pitfalls of using this index to capture the changes in more than 30,000 of the world\u2019s animal populations.</p>\n\n\n\t</div>\n\n\n<p>\u201c<a href=\"https://www.indiatimes.com/news/india/last-50-years-earth-lost-68-percent-of-wildlife-85-percent-wetlands-because-of-humans-522447.html#:~:text=5%20months%20ago-,In%20The%20Last%2050%20Years%2C%20Earth%20Has%20Lost%2068%25%20Of,All%20Thanks%20To%20Us%20Humans&amp;text=Global%20animal%2C%20bird%2C%20and%20fish,a%20new%20report%20has%20stated.\">In the last 50 years, Earth has lost 68% of wildlife, all thanks to us humans</a>\u201d (India Times)</p>\n\n\n\n<p>\u201c<a href=\"https://www.theguardian.com/environment/2018/oct/30/humanity-wiped-out-animals-since-1970-major-report-finds\">Humanity has wiped out 60% of animal populations since 1970, report finds</a>\u201d (The Guardian)</p>\n\n\n\n<p>\u201c<a href=\"https://www.weforum.org/agenda/2018/10/weve-lost-60-of-wildlife-in-less-than-50-years/\">We&#8217;ve lost 60% of wildlife in less than 50 years</a>\u201d (World Economic Forum)</p>\n\n\n\n<p>These are just three of many headlines covering the <a href=\"https://www.livingplanetindex.org/home/index\">Living Planet Index</a>. But they are all wrong. They are based on a misunderstanding of what the Living Planet Index shows.&nbsp;</p>\n\n\n\n<p>I sympathize with the journalists. Interpreting this metric is hard. I\u2019m sure I\u2019ve made similar mistakes in the past: using the terms \u2018decline\u2019, \u2018lost\u2019, and \u2018fall\u2019 interchangeably in biodiversity discussions. Combine this with the complexities of \u2018populations\u2019, \u2018species\u2019 and \u2018extinctions\u2019, and it gets complicated pretty quickly.</p>\n\n\n\n<p>Before reporting on the Living Planet Index we should understand what it actually tells us about the world\u2019s wildlife. We should also be aware of the misconceptions and pitfalls of using this index to capture the changes in more than 30,000 of the world\u2019s animal populations.</p>\n\n\n\n<h3>What does \u2018average decline\u2019 actually mean?</h3>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\">\n<p>The Living Planet Index (LPI) measures the <em>average change</em> in the number of individuals across the world\u2019s animal populations. A \u2018population\u2019 is defined as a species within a geographical area. So, despite being the same species, the African elephant in South Africa and Tanzania are counted as different populations.</p>\n\n\n\n<p>Let\u2019s take a look at an example. This will not only show us how easily this figure can be misinterpreted but also why we should be careful when assuming that it gives us an accurate picture of what\u2019s really happening to all wildlife populations.</p>\n\n\n\n<p>We\u2019re going to take a real-life example of two populations of the <a href=\"http://ourworldindata.org/mammals#rhinos\">Black rhino</a>: one in Tanzania and one in Botswana. In the first row of the table, we see their population size in 1980: there were 3795 rhinos in Tanzania, and only 30 in Botswana. In the following decades intense poaching in Tanzania has plunged its population to critically endangered status: in the second row we see that by 2017 there were only 160 rhinos left. Things in Botswana actually improved over time: its 30 rhinos increased to 50. The difference between their population size in 1980 and 2017 is shown in the third row: this represents the number of animals lost over time. And in the final row, we see the percentage change in population size for each.<br><br>The Tanzanian rhinos obviously did not fare well: they lost 96% of their population. The group in Botswana did much better. In fact, their numbers <em>increased </em>by 67%.</p>\n\n\n\n<p>If we calculate the average change of these two populations we get a value of -15%. Take the average of the change in Tanzania (-96%) and Botswana (67%). This means the Black rhinos saw an average decline of 15%.</p>\n\n\n\n<p>Here, things get slightly more complex, because the actual LPI is calculated in a similar way but with one difference. It doesn\u2019t just take the mean change across populations (called the <em>arithmetic mean</em>), it takes the <em>geometric</em> <em>mean</em>.{ref}The geometric mean is calculated by multiplying the numbers and taking the square root of the product (if there are two populations); cube root (if there are three populations); etc. It&#8217;s often slightly better for calculating averages on rates of change.</p>\n\n\n\n<p>Buckland, S. T., Studeny, A. C., Magurran, A. E., Illian, J. B., &amp; Newson, S. E. (2011). <a href=\"https://esajournals.onlinelibrary.wiley.com/doi/10.1890/ES11-00186.1\">The geometric mean of relative abundance indices: a biodiversity measure with a difference</a>. <em>Ecosphere</em>, <em>2</em>(9), 1-15.{/ref} The geometric mean across these two populations is -74%.{ref}We can calculate this by taking the geometric mean of 1.67 and 0.04 (which is the +67% and -96%) of the two populations. This gives us 0.26. That means (1 &#8211; 0.26) = a 74% decline.{/ref}<br><br>Let&#8217;s keep that in mind. I&#8217;ll continue to also explain this using the <em>arithmetic</em> mean because it&#8217;s easier to follow and understand. But it&#8217;s the geometric mean that the LPI uses. The numbers are different, but their implications are similar.</p>\n\n\n\n<p>The common misinterpretation of these numbers \u2013 where headlines would incorrectly report that \u201cwe\u2019ve <em>lost</em> 15% [or 74%] of animals\u201d \u2013 is shown in the far right column. There we\u2019ve summed these numbers to show the two populations combined. In 1980, the total number of animals was 3825. We then lost 3615 of them, to give us only 210 in 2017. This means we actually lost 95% of the rhinos. The LPI is therefore a different measure from the number or percentage of individual animals lost.&nbsp;</p>\n\n\n\n<p>But this also highlights an even greater danger when reporting the LPI. By averaging these two populations we\u2019ve ended up pretty clueless about the status of either of them. Either a 15% [or 74% using the geometric mean] decline would give a skewed understanding of the situation. The Black rhino in Tanzania has lost 96% of its rhinos and has become critically endangered. On the other hand, something is going right in Botswana because its numbers have <em>increased</em>. Both of these outcomes would be missed.</p>\n\n\n\n<p>This might mean we don\u2019t prioritize the Tanzanian black rhino when we really need to. And we might lose out on an important lesson from Botswana on how to increase numbers in critically endangered populations. This is why a more population-specific approach to conservation is needed, as I discuss in the dropdown box at the end of this article.</p>\n</div>\n\n\n\n<div class=\"wp-block-column\">\n<figure class=\"wp-block-table\"><table><tbody><tr><td></td><td>Black rhino (Tanzania)</td><td>Black rhino&nbsp;(Botswana)</td><td><em>Total</em><em>&nbsp;(Tanzanian and Botswananian black rhinos)</em></td></tr><tr><td>Population size in 1980</td><td>3795</td><td>30</td><td><em>3825</em></td></tr><tr><td>Population size in 2017</td><td>160</td><td>50</td><td><em>210</em></td></tr><tr><td>Number of animals lost since 1980</td><td>3635</td><td>-20&nbsp;(gained 20 rhinos)</td><td><em>3615</em></td></tr><tr><td>Percentage change in population size</td><td>-96%</td><td>+67%</td><td><em>-95%</em></td></tr></tbody></table></figure>\n</div>\n</div>\n\n\n\n<h3>The Living Planet Index tells us that studied animal populations have seen an <em>average</em> relative decline of 69% since 1970</h3>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\">\n<p>Let\u2019s then dig into the actual results of the LPI. The above headline is the main message of the 2022 Living Planet Index report.{ref}WWF (2022) <em>Living Planet Report 2022 \u2013 Building a nature-positive society</em>. Almond, R.E.A., Grooten, M., Juffe Bignoli, D. &amp; Petersen, T. (Eds). WWF, Gland, Switzerland.{/ref} It tells us that from 1970 to 2018, there was an <em>average decline</em> of 69% across studied animal populations.<br><br>What types and how much of the world\u2019s wildlife does the LPI cover? In the latest report it covered 31,821 populations of 5,230 species across the world. It only covers vertebrate species \u2013 mammals, birds, fish, reptiles and amphibians. </p>\n\n\n\n<p>It includes a large number of populations from each world region. In the latest report, the authors significantly increased the number of studies that were included in languages other than English. The number of included species from Asia and the Pacific increased by a quarter since the 2020 report. For Africa, species coverage increased by 37%. And most notably, it expanded by 66% across Latin America and the Caribbean.</p>\n\n\n\n<p>This is great progress. However, the tropics <a href=\"https://ourworldindata.org/living-planet-index#how-many-species-does-it-cover-what-is-the-geographical-range-of-this-coverage\">are still underrepresented</a> relative to Europe and North America. This is not ideal, considering the tropics are home to the greatest diversity of species and is where wildlife is most threatened.</p>\n\n\n\n<p>This reveals two further limitations. First, it only covers a tiny percentage of species: Only 16% of known bird species; 11% of mammals; 6% of fish; and 3% of amphibians and reptile species. It\u2019s hard to say how representative the available data is: it\u2019s often the case that the species we are most concerned about (deservedly) get the most attention in the research. Second, many taxonomic groups are not included at all \u2013 nothing on insects, fungi, coral or plants. This is largely due to data availability \u2013 it\u2019s easier to count bears than ants. Still, we should be wary of generalizing these results to all life on Earth. <em>[In our </em><a href=\"/faq-living-planet-index\" target=\"_blank\" rel=\"noreferrer noopener\"><em>FAQ on the Living Planet Index</em></a><em> I look at the geographical and species breakdown of data availability, and where it\u2019s sourced from]</em>.</p>\n\n\n\n<p>The global LPI is shown in the chart, where the value in 1970 is indexed to 100%. As we see, this has fallen to 31% in 2018, signifying a 69% decline.</p>\n\n\n\n<p>To be clear once again: the LPI <em>does not</em> tell us the number of species, populations or individuals lost; the number of extinctions that have occurred; or even the share of species that are declining. It tells us that between 1970 and 2018, on average, there was a 69% decline in population size across the 31,821 studied populations.</p>\n</div>\n\n\n\n<div class=\"wp-block-column\">\n<iframe src=\"https://ourworldindata.org/grapher/global-living-planet-index\" loading=\"lazy\" style=\"width: 100%; height: 600px; border: 0px none;\"></iframe>\n</div>\n</div>\n\n\n\n<h3>Effective conservation means we have to look past the average</h3>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\">\n<p>To tell the real story on biodiversity, we have to be conscious of how the headlines are communicated. Losing 69% of the world\u2019s wildlife within decades would be devastating. Thankfully it isn\u2019t true.</p>\n\n\n\n<p>But, this shouldn\u2019t detract from the fact that the loss of many wildlife populations is deeply concerning. Unfortunately, averages are not particularly helpful in understanding <em>what</em> and <em>where</em> these populations are. When we look at more detailed analyses of the LPI we find that actually this 69% average decline hides even more drastic declines in some populations. </p>\n\n\n\n<p>If we want to protect our most endangered species, these are the ones we need to prioritize. The average index unfortunately hides these populations from view.</p>\n\n\n\n<p>We need to not only be careful with how we report the headline index itself. But we also need to be aware of what it does, or more importantly, does not tell us about how global wildlife is changing. As I cover in a <strong><a href=\"https://owid.cloud/living-planet-index-understanding\" data-type=\"post\" data-id=\"43032\">related article</a></strong>, the Living Planet database itself is an incredible resource that allows us to dig deeper into the individual stories of the 30,000 populations that have been reduced to a single number.</p>\n</div>\n\n\n\n<div class=\"wp-block-column\"></div>\n</div>\n\n\n\n<hr class=\"wp-block-separator\"/>\n\n\n\t<block type=\"additional-information\" default-open=\"false\">\n\t\t<content>\n\n<h3>Is the Living Planet Index sensitive to outliers?</h3>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\">\n<p>An average isn\u2019t helpful \u2013 we need to know <em>where</em> and <em>what</em> animal populations are in greatest danger. Some are doing much worse than the headline suggests, but they get lost in the averages. This means we can\u2019t focus our efforts on protecting the species that need it the most.&nbsp;&nbsp;</p>\n\n\n\n<p>We should also be careful about what the average actually tells us. It can, quite easily, be sensitive to outliers: populations that have seen a dramatic decline or increase.</p>\n\n\n\n<p>We&#8217;ll look at a simple example: let\u2019s say we had an ecosystem where one population saw a decline of 99%, and 393 other populations each <em>increased</em> by 1%. Our final result would report an average decline of 50%.{ref}Leung, B., Hargreaves, A. L., Greenberg, D. A., McGill, B., Dornelas, M., &amp; Freeman, R. (2020). <a href=\"https://www.nature.com/articles/s41586-020-2920-6\">Clustered versus catastrophic global vertebrate declines</a>. <em>Nature</em>, <em>588</em>(7837), 267-271.{/ref} This is the difference between what we\u2019d call a \u2018catastrophic decline\u2019 (a decline across most or all species) versus a \u2018cluster decline\u2019 (where it is a very specific set of species that are struggling). Our approach to tackling either of these scenarios would be very different.</p>\n\n\n\n<p>After the publication of the 2018 Living Planet Index report, researchers published a follow-up study in <em>Nature </em>where they looked at how the LPI was affected by extreme declines (or increases) in a small subset of the studied populations.{ref}Leung, B., Hargreaves, A. L., Greenberg, D. A., McGill, B., Dornelas, M., &amp; Freeman, R. (2020). <a href=\"https://www.nature.com/articles/s41586-020-2920-6\">Clustered versus catastrophic global vertebrate declines</a>. <em>Nature</em>, <em>588</em>(7837), 267-271.{/ref} For this study they looked at the results of the 2018 LPI report. It reported a 60% average decline in wildlife populations since 1970.{ref} WWF. <a href=\"https://www.worldwildlife.org/pages/living-planet-report-2018\">Living Planet Report 2018: Aiming Higher</a> (eds. Grooten, N. &amp; Almond, R. E. A.) (WWF, 2018).{/ref}&nbsp;</p>\n\n\n\n<p>By looking at the population data underlying the LPI they found that this 60% average decline was driven by extreme losses in a small subset of populations. If you excluded the 2.4% most-strongly declining populations \u2013 which was 356 out of 14,700 \u2013 the result reversed from a 60% average decline to a slightly positive growth. In other words, 2% to 3% of populations were doing <em>extremely </em>badly, but it appears that most species were doing okay.</p>\n\n\n\n<p>In the chart we see how the 2018 LPI result would have been affected by excluding the most extreme-negative populations. In red we see the final headline result of the report \u2013 a 60% average decline across the 14,700 populations. But as we exclude the most extreme negative populations, first 120 then 238 populations, we see that this average decline reduces significantly. Then, when we exclude the 356 most-severe populations, not only does the average decline reduce, it actually turns into a net positive. The abundance across these populations was, on average, <em>increasing</em>.</p>\n</div>\n\n\n\n<div class=\"wp-block-column\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" width=\"1835\" height=\"1419\" src=\"https://owid.cloud/app/uploads/2021/03/Impact-of-extremes-on-living-planet-index.png\" alt=\"\" class=\"wp-image-42267\" srcset=\"https://owid.cloud/app/uploads/2021/03/Impact-of-extremes-on-living-planet-index.png 1835w, https://owid.cloud/app/uploads/2021/03/Impact-of-extremes-on-living-planet-index-400x309.png 400w, https://owid.cloud/app/uploads/2021/03/Impact-of-extremes-on-living-planet-index-711x550.png 711w, https://owid.cloud/app/uploads/2021/03/Impact-of-extremes-on-living-planet-index-150x116.png 150w, https://owid.cloud/app/uploads/2021/03/Impact-of-extremes-on-living-planet-index-768x594.png 768w, https://owid.cloud/app/uploads/2021/03/Impact-of-extremes-on-living-planet-index-1536x1188.png 1536w\" sizes=\"(max-width: 1835px) 100vw, 1835px\" /></figure>\n</div>\n</div>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\">\n<p>But, extreme <em>positive</em> outliers can also have a strong impact on the final result. In the 2020 update of the LPI they <a href=\"http://stats.livingplanetindex.org/\">updated this analysis</a> to show the impact of removing extreme negative, extreme positive, and both outliers combined. This is shown in the chart. Again we see the impact of removing negative extremes: removing the most severe 5% of populations turns the average 68% decline into an average <em>increase</em>. But removing positive extremes also has a large impact. When we remove even a few percent of the populations growing the most, we see an average decline of greater than 70%. Finally, if you remove both negative and positive outliers together we still see a significant average decline, although less than the reported LPI of 68%. If we remove the most extreme 10% of populations we get a 42% average decline since 1970.</p>\n\n\n\n<p>In response to this criticism to the sensitivity of the LPI to outliers, the authors tested this sensitivity in the 2022 report. To do this they removed 2.5%, 5% and 10% of the most extreme declining and increasing populations, and recalculated the index each time. While they got slightly different results from the 69% average decline reported, the overall trend is very similar in each one.</p>\n\n\n\n<p>This suggests that the final result is not mostly driven by the combination of extreme declines and increases. It might be the case that populations that have experienced very large increases cancel out the impact of very large declines. That would mean the overall result is not affected much when <em>both</em> are removed.</p>\n\n\n\n<p>Regardless of how much of the final result is driven by extreme outliers, this discussion highlights the continued issue of trying to summarise global biodiversity trends into a single index number. </p>\n\n\n\n<p>What is more useful for conservation is looking at clustered declines: cutting through the average to identify where and what types of populations are seeing dramatic declines. Leung et al. (2020) highlighted several clusters of species that have struggled: reptile, amphibian and mammal species across Latin America; Indo-Malayan freshwater birds and amphibians; Arctic mammals; and both marine and freshwater fishes across most of the world\u2019s environments.</p>\n</div>\n\n\n\n<div class=\"wp-block-column\"></div>\n</div>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" width=\"2496\" height=\"676\" src=\"https://owid.cloud/app/uploads/2021/03/LPI-Outliers-2020.png\" alt=\"\" class=\"wp-image-42268\" srcset=\"https://owid.cloud/app/uploads/2021/03/LPI-Outliers-2020.png 2496w, https://owid.cloud/app/uploads/2021/03/LPI-Outliers-2020-400x108.png 400w, https://owid.cloud/app/uploads/2021/03/LPI-Outliers-2020-800x217.png 800w, https://owid.cloud/app/uploads/2021/03/LPI-Outliers-2020-150x41.png 150w, https://owid.cloud/app/uploads/2021/03/LPI-Outliers-2020-768x208.png 768w, https://owid.cloud/app/uploads/2021/03/LPI-Outliers-2020-1536x416.png 1536w, https://owid.cloud/app/uploads/2021/03/LPI-Outliers-2020-2048x555.png 2048w\" sizes=\"(max-width: 2496px) 100vw, 2496px\" /><figcaption>Impact of removing positive or negative outliers from the Living Planet Index{ref}WWF (2020). <a href=\"https://livingplanet.panda.org/\">Living Planet Report 2020 &#8211; Bending the curve of biodiversity loss</a>. Almond, R.E.A., Grooten M. and Petersen, T. (Eds). WWF, Gland, Switzerland.{/ref}</figcaption></figure>\n\n</content>\n\t</block>\n\n\n<h3>Explore more of our work on <em>Biodiversity</em></h3>\n\n\n    <block type=\"prominent-link\" style=\"is-style-thin\">\n        <link-url>https://ourworldindata.org/living-planet-index#how-does-the-living-planet-index-vary-across-the-world</link-url>\n        <title>How does the Living Planet Index vary across the world?</title>\n        <content></content>\n        <figure><img width=\"768\" height=\"1\" src=\"https://owid.cloud/app/uploads/2021/05/living-planet-index-by-region.svg\" class=\"attachment-medium_large size-medium_large\" alt=\"\" loading=\"lazy\" height=\"600\" width=\"850\" /></figure>\n    </block>\n\n    <block type=\"prominent-link\" style=\"is-style-thin\">\n        <link-url>https://ourworldindata.org/living-planet-index#how-the-living-planet-project-helps-us-understand-how-the-world-s-wildlife-is-changing</link-url>\n        <title>How the Living Planet project helps us understand how the world\u2019s wildlife is changing</title>\n        <content>\n\n<p></p>\n\n</content>\n        <figure><img width=\"768\" height=\"404\" src=\"https://owid.cloud/app/uploads/2021/03/Living-Planet-Index-thumbnail-768x404.png\" class=\"attachment-medium_large size-medium_large\" alt=\"\" loading=\"lazy\" srcset=\"https://owid.cloud/app/uploads/2021/03/Living-Planet-Index-thumbnail-768x404.png 768w, https://owid.cloud/app/uploads/2021/03/Living-Planet-Index-thumbnail-400x210.png 400w, https://owid.cloud/app/uploads/2021/03/Living-Planet-Index-thumbnail-800x421.png 800w, https://owid.cloud/app/uploads/2021/03/Living-Planet-Index-thumbnail-150x79.png 150w, https://owid.cloud/app/uploads/2021/03/Living-Planet-Index-thumbnail.png 1200w\" sizes=\"(max-width: 768px) 100vw, 768px\" /></figure>\n    </block>",
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    "excerpt": {
        "rendered": "The Living Planet Index is the biodiversity metric that always claims the headlines. It&#8217;s often misinterpreted. How should we understand it?",
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    "date_gmt": "2022-10-13T09:00:00",
    "modified": "2023-06-09T21:37:02",
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    "authors_name": [
        "Hannah Ritchie"
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