sources: 17987
Data license: CC-BY
This data as json
id | name | description | createdAt | updatedAt | datasetId | additionalInfo | link | dataPublishedBy |
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17987 | Hong et al. (2021). Global and regional drivers of land-use emissions in 1961–2017. Nature. | { "link": "https://www.nature.com/articles/s41586-020-03138-y", "retrievedDate": "16th February 2021", "additionalInfo": "Hong et al. (2021) quantify agricultural greenhouse gas emissions and land use globally, and by country from 1961 onwards. This includes emissions from land use change (such as deforestation) but also emissions from agricultural production including fertilisers, manure, enteric fermentation from livestock, methane from rice etc. It does not include supply chain emissions post-farmgate, such as refrigeration, packaging or transport.\n\nThis allows the authors to define the Pale identity for agricultural emissions, E = Pale, where:\n\u2013 E = total emissions from agriculture\n\u2013 P = population\n\u2013 a = agricultural production per capita\n\u2013 l = land use intensity (the inverse of yield, given as land use divided by agricultural production)\n\u2013 e = emissions intensity of land (emissions per hectare).\n\nTo quantify emissions, the authors convert to carbon dioxide equivalents (CO\u2082e) using 100-year global warming potential values (GWP100).", "dataPublishedBy": "Hong, C., Burney, J. A., Pongratz, J., Nabel, J. E., Mueller, N. D., Jackson, R. B., & Davis, S. J. (2021). Global and regional drivers of land-use emissions in 1961\u20132017. Nature, 589(7843), 554-561." } |
2021-02-16 10:04:23 | 2021-02-16 10:04:23 | 5258 | Hong et al. (2021) quantify agricultural greenhouse gas emissions and land use globally, and by country from 1961 onwards. This includes emissions from land use change (such as deforestation) but also emissions from agricultural production including fertilisers, manure, enteric fermentation from livestock, methane from rice etc. It does not include supply chain emissions post-farmgate, such as refrigeration, packaging or transport. This allows the authors to define the Pale identity for agricultural emissions, E = Pale, where: – E = total emissions from agriculture – P = population – a = agricultural production per capita – l = land use intensity (the inverse of yield, given as land use divided by agricultural production) – e = emissions intensity of land (emissions per hectare). To quantify emissions, the authors convert to carbon dioxide equivalents (CO₂e) using 100-year global warming potential values (GWP100). | https://www.nature.com/articles/s41586-020-03138-y | Hong, C., Burney, J. A., Pongratz, J., Nabel, J. E., Mueller, N. D., Jackson, R. B., & Davis, S. J. (2021). Global and regional drivers of land-use emissions in 1961–2017. Nature, 589(7843), 554-561. |
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