ABCDEFGHIJKLMNOPQRSTUVWXYZ
1
2
3
4
5
6
About
7
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 2001-2022.
- Emissions, removals and net flux are available as annual averages for 2001-2022.
- 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). 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.
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
Tabs
23
Country tree cover loss: Hectares of tree cover loss at a national level, between 2001-2022, categorized by percent canopy cover in 2000.
24
Country carbon data: Aboveground woody biomass stocks and densities in 2000 (Mg AGB and Mg AGB/ha, respectively); average annual GHG emissions, removals (sequestration), and net flux between 2001 and 2022 (Mg CO2e/yr); annual GHG emissions (Mg CO2e). Provided by percent canopy cover in 2000 (>30%, 50%, and 75% only).
25
26
Subnational 1 tree cover loss: Hectares of tree cover loss at the first sub-national level, between 2001-2022, categorized by percent canopy cover in 2000.
27
Subnational 1 carbon data: Aboveground woody biomass stocks and densities in 2000 (Mg AGB and Mg AGB/ha, respectively); average annual GHG emissions, removals (sequestration), and net flux between 2001 and 2022 (Mg CO2e/yr); annual GHG emissions (Mg CO2e). Provided by percent canopy cover in 2000 (>30%, 50%, and 75% only).
28
29
Citations
30
Hansen, M.C., P.V. Potapov, R. Moore, et al. 2013. "High-Resolution Global Maps of 21st-Century Forest Cover Change." Science 342: 850–53. Data available on-line from: https://glad.earthengine.app/view/global-forest-change.
31
32
Harris, N.L., D.A. Gibbs, A. Baccini, et al. 2021. "Global maps of twenty-first century forest carbon fluxes." Nature Climate Change 11: 234-240. https://doi.org/10.1038/s41558-020-00976-6. Data available on-line from: https://data.globalforestwatch.org/
33
34
Gibbs, D.A., N. Harris. 2023. https://www.globalforestwatch.org/blog/data-and-research/whats-new-carbon-flux-monitoring (explanation of changes to carbon flux model with 2022 TCL release)
35
Global Administrative Areas Database, version 3.6. Available at http://gadm.org/
36
Cautions
37
In this data set, “tree cover” is defined as all vegetation greater than 5 meters in height, and may take the form of natural forests or plantations across a range of canopy densities. “Loss” indicates the removal or mortality of tree cover and can be due to a variety of factors, including mechanical harvesting, fire, disease, or storm damage. As such, “loss” does not equate to deforestation. Improvements in the detection of tree cover loss due to the incorporation of new satellite data and methodology changes between 2011 and 2015 may result in higher estimates of loss in recent years compared to earlier years. See https://www.globalforestwatch.org/blog/data-and-research/tree-cover-loss-satellite-data-trend-analysis/ for more information.
The emissions, removals, and net flux data are the products of modeling and thus have an inherent degree of error and uncertainty. Users are strongly encouraged to read and fully comprehend the metadata and other available documentation prior to data use. Gross removals and net flux reflect the annual averages over the model period of 2001-2022, not annual time series from which a trend can be derived. Emissions are from stand-replacing disturbances and do not include emissions from forest degradation. Emissions and removals reflect gross estimates, e.g., carbon emissions from any disturbance that occurs without accounting for regrowth. Thus, emissions and removals data must be used with particular caution and in conjunction with each other.
Several inputs and constants for emissions, removals, and net flux were changed with the inclusion of 2022's tree cover loss. More information on these updates can be found at https://www.globalforestwatch.org/blog/data-and-research/whats-new-carbon-flux-monitoring.
38
39
40
41
42
43
44
45
46
47
Contact
48
For further questions regarding this data set, please contact Liz Goldman at the World Resources Institute (elizabeth.goldman@wri.org).
49
50
Version change log
51
vxxxxxxxInitial dataset covering 2001-2022
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100