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id ▲ | name | description | createdAt | updatedAt | datasetId | additionalInfo | link | dataPublishedBy |
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17936 | Forest Transition Phase (Pendrill et al. 2019) | { "link": "https://iopscience.iop.org/article/10.1088/1748-9326/ab0d41", "retrievedDate": "28th October 2020", "additionalInfo": "The study categorized countries into four categories based on their stage in the forest transition.\n\nAs, detailed, they follow a similar framework to Hosonuma et al. (2012).\n\n\"Countries exhibiting low deforestation rates are classified as pre- or post-transition depending on whether forest cover is high or low (or if net reforestation is occurring); countries with high deforestation rates are classified as early-transition if gross deforestation is increasing and remaining forest cover is not too low, and late-transition otherwise. We decided to use a slightly lower threshold than Hosonuma et al (2012). We also manually adjusted the classification for a few post-transition countries that were not classified as such and excluded countries with less than 5% forest cover.\"\n\nHosonuma describe the Forest Transition Model as:\n\"The four FT phases are pre-transition, early transition, late transition and post-transition, which generally represent a time sequence of national development. Pre-transition countries have high forest cover and low deforestation rates. In early-transition countries, forest cover is lost at an increasingly rapid rate. Late-transition countries with a rather small fraction of remaining forests exhibit a slowing of the deforestation rate and eventually come into the post-transition phase, where the forest area change rate becomes positive and forest cover increases through reforestation. The FT model reflects a broad-scale typology of tropical developing countries, applicable as a proxy for analyzing the temporal variability of drivers of deforestation and forest degradation.\"\n\nAdditional references:\nHosonuma, N., Herold, M., De Sy, V., De Fries, R. S., Brockhaus, M., Verchot, L., ... & Romijn, E. (2012). An assessment of deforestation and forest degradation drivers in developing countries. Environmental Research Letters, 7(4), 044009.", "dataPublishedBy": "Pendrill, F., Persson, U. M., Godar, J., & Kastner, T. (2019). Deforestation displaced: trade in forest-risk commodities and the prospects for a global forest transition. Environmental Research Letters, 14(5), 055003." } |
2020-10-28 10:47:22 | 2020-10-28 10:47:22 | Forest Transition Phase (Pendrill et al. 2019) 5206 | The study categorized countries into four categories based on their stage in the forest transition. As, detailed, they follow a similar framework to Hosonuma et al. (2012). "Countries exhibiting low deforestation rates are classified as pre- or post-transition depending on whether forest cover is high or low (or if net reforestation is occurring); countries with high deforestation rates are classified as early-transition if gross deforestation is increasing and remaining forest cover is not too low, and late-transition otherwise. We decided to use a slightly lower threshold than Hosonuma et al (2012). We also manually adjusted the classification for a few post-transition countries that were not classified as such and excluded countries with less than 5% forest cover." Hosonuma describe the Forest Transition Model as: "The four FT phases are pre-transition, early transition, late transition and post-transition, which generally represent a time sequence of national development. Pre-transition countries have high forest cover and low deforestation rates. In early-transition countries, forest cover is lost at an increasingly rapid rate. Late-transition countries with a rather small fraction of remaining forests exhibit a slowing of the deforestation rate and eventually come into the post-transition phase, where the forest area change rate becomes positive and forest cover increases through reforestation. The FT model reflects a broad-scale typology of tropical developing countries, applicable as a proxy for analyzing the temporal variability of drivers of deforestation and forest degradation." Additional references: Hosonuma, N., Herold, M., De Sy, V., De Fries, R. S., Brockhaus, M., Verchot, L., ... & Romijn, E. (2012). An assessment of deforestation and forest degradation drivers in developing countries. Environmental Research Letters, 7(4), 044009. | https://iopscience.iop.org/article/10.1088/1748-9326/ab0d41 | Pendrill, F., Persson, U. M., Godar, J., & Kastner, T. (2019). Deforestation displaced: trade in forest-risk commodities and the prospects for a global forest transition. Environmental Research Letters, 14(5), 055003. |
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CREATE TABLE "sources" ( "id" INTEGER PRIMARY KEY AUTOINCREMENT, "name" VARCHAR(512) NULL , "description" TEXT NOT NULL , "createdAt" DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP , "updatedAt" DATETIME NULL , "datasetId" INTEGER NULL, additionalInfo TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.additionalInfo')) VIRTUAL, link TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.link')) VIRTUAL, dataPublishedBy TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.dataPublishedBy')) VIRTUAL, FOREIGN KEY("datasetId") REFERENCES "datasets" ("id") ON UPDATE RESTRICT ON DELETE RESTRICT ); CREATE INDEX "sources_datasetId" ON "sources" ("datasetId");