3iSolution

Member since 31 October 2023
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    Time Period of the Dataset [?]: December 31, 2023-December 31, 2023 ... More
    Modified [?]: 2 March 2025
    Dataset Added on HDX [?]: 2 March 2025
    This dataset updates: Live
    This data set includes tree cover extent, aboveground live woody biomass (AGB) stocks and densities, annual tree cover loss, annual forest greenhouse gas (GHG) emissions, average annual forest CO2 removals (sequestration), and average annual net GHG flux at the country and first (state, province) sub-national levels. Tree cover loss and emissions are available as annual data for 2001-2023. Emissions, removals and net flux are available as annual averages for 2001-2023. Tree cover is available for 2000 and 2010. Aboveground biomass stocks and densities are available for 2000. The tree cover data was produced by the University of Maryland's GLAD laboratory in partnership with Google (Hansen et al. 2013). Tree cover loss is defined as “stand replacement disturbance” which is considered to be clearing of at least half of tree cover within a 30-meter pixel. Carbon densities, emissions, removals, and net flux (megagrams CO2e/yr) are from Harris et al. 2021. The emissions data quantifies the amount of carbon dioxide emissions to the atmosphere where forest disturbances have occurred, and includes CO2, CH4, and N2O and multiple carbon pools. Removals includes the average annual carbon captured by aboveground and belowground woody biomass in forests. Net flux is the difference between average annual emissions and average annual removals; negative values are net sinks and positive values are net sources. Tree cover loss, tree cover extent, and AGB stock and density are presented for percent canopy cover levels >10%, 15%, 20%, 25%, 30%, 50% and 75% in 2000. Emissions, removals, and net flux are presented only for percent canopy cover levels >30%, 50%, and 75% in 2000, plus areas with tree cover gain between 2000 and 2020 (Potapov et al. 2022) regardless of percent canopy cover. We recommend that you select your desired percent canopy cover level before your analysis and use it consistently throughout analyses. The Global Forest Watch website uses a >30% canopy cover threshold as a default for all statistics.