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The data provided here are the result of a time-series analysis of carbon density change (in Mg/ha) between 2003-2014 spanning tropical America, Africa, and Asia (23.45 N lat.-23.45 S lat.). The original data is provided as two separate rasters representing (1) carbon density net gain and (2) carbon density net loss within each ~463 x 463 metre pixel, with only pixels exhibiting statistical significance at the 95% level being reported. The data here was re-projected from the its original MODIS sinusoidal projection to WGS84.
This dataset provides projections of global rainfall erosivity changes, a critical metric representing the erosive force of rainfall that drives worldwide soil and nutrient loss. These maps serve as essential inputs for global and regional soil erosion assessment models. The collection details the geographical distribution of projected erosivity changes across two primary periods: 2010–2050 and 2050–2070. To account for different climate trajectories, the dataset includes models for three distinct Representative Concentration Pathway (RCP) scenarios for both timeframes: RCP 2.6 (stringent mitigation), RCP 4.5 (intermediate emissions), and RCP 8.5 (high emissions). By combining these temporal and climatic variables, users can evaluate and compare potential future soil erosion risks under varying degrees of global climate change.
The CO2 fixed by photosynthesis is one of the most important components of the carbon cycle. Forests play a key role in this process. They represent large and persistent carbon sinks. Tree carbon stocks are important to quantify terrestrial carbon storage and carbon sinks, and to estimate potential emissions from land cover changes (deforestation, reforestation, afforestation) and from biotic (pests, diseases) and abiotic (forest fires, windstorms) disturbances. Spatially explicit data and assessments of forest biomass and carbon are thus paramount to design and implement effective sustainable forest management options and forest related policies. The above-ground carbon index presented in this dataset is expressed in Mg (megagrams or tonnes) of carbon per km2 . It corresponds to the carbon fraction of the oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees, excluding stump and roots, as estimated by the GlobBiomass project (globbiomass.org) with 2010 as the reference year.
Roots are a long term and stable carbon sink, accounting for about 0.4 of the above ground biomass across biogeographical regions. Well established and developed root systems provide various ecosystem services related to improved soil quality (higher cation exchange capacity and nutrient turnaround) and characteristics (improved soil porosity and aeration). Spatially explicit data and assessments of forest biomass and carbon are paramount to design and implement effective sustainable forest management options and forest related policies. The belowground biomass carbon index (BBCI) presented in this dataset is expressed in Mg (Megagrams or Tonnes) of carbon per km2. It represents an estimation of the carbon stored in the roots of all living trees. Together with the above-ground carbon index (AGCI) and the soil organic content index (SOCI), it provides a complete overview of the total carbon stored in forest areas (trees and soil).
Some extraordinary changes have occurred across the globe over the past decades regarding human habitation. Globally, between 1975 and 2015 built-up areas increased by approximately 250 %, while population increased by a factor of 1.8. The most considerable changes occurred in Africa where it has nearly quadrupled. The extent of built-up area poses a number of challenges to global sustainable development. As urban clusters expand, productive land and soil is sealed, and natural ecosystems are replaced by land use to support urban centres. This layer highlights the areas of concern for built-up related issues derived from the convergence of global evidence of human-environment interactions that can have land degradation consequences.
During the last twenty years (2000-2020) the intact forest landscapes extent within African, Caribbean and Pacific countries, decreased by 16% (237275km2).
However the protection of IFLs increased in the last two decades. Since 2000, around 100 conserved and protected areas were created in intact forests areas in ACP countries, increasing the percentage of IFL protected from 11% in 2000 to 26% in 2020.. Ethiopia has proposed six protected areas that will cover the total extent of IFL in the country. Republic of Congo increased IFL protection from 15,78% in 2000 to 67,07% in 2020.
| Country | Percentage protected in 2000 | Percentage protected in 2013 | Percentage protected in 2016 | Percentage protected in 2020 |
| Angola | 0.00 | 0.00 | 0 | 0.00 |
| Belize | 90.63 | 92.14 | 91.44447 | 91.99 |
| Cote d'Ivoire | 45.76 | 68.62 | 70.72509 | 82.37 |
| Cameroon | 98.89 | 99.96 | 99.96414 | 99.97 |
| Central African Republic | 14.20 | 39.23 | 47.47338 | 60.00 |
| Congo | 12.65 | 19.72 | 21.21028 | 22.03 |
| Cuba | 15.78 | 59.62 | 63.48035 | 67.07 |
| Democratic Republic of the Congo | 0.00 | 100.00 | 100 | 100.00 |
| Dominican Republic | 0.00 | 98.05 | 98.04902 | 98.05 |
| Equatorial Guinea | 1.07 | 0.00 | 0 | 0.00 |
| Ethiopia | 5.23 | 27.32 | 28.38109 | 29.74 |
| Gabon | 36.57 | 66.72 | 72.62826 | 73.61 |
| Guyana | 2.89 | 12.50 | 12.99736 | 13.25 |
| Liberia | 29.30 | 43.19 | 43.42341 | 54.63 |
| Madagascar | 34.84 | 39.28 | 37.74979 | 91.96 |
| Nigeria | 88.66 | 89.20 | 89.64465 | 91.54 |
| Papua New Guinea | 2.36 | 3.50 | 3.627328 | 4.61 |
| Samoa | 0.00 | 0.00 | 0 | 2.29 |
| Solomon Islands | 11.64 | 16.82 | 17.09852 | 18.69 |
| Suriname | 83.56 | 86.31 | 85.87311 | 95.55 |
| Uganda | 96.84 | 97.64 | 97.85507 | 98.25 |
| United Republic of Tanzania | 2.02 | 1.91 | 1.906882 | 1.92 |
| Vanuatu | 0.00 | 14.54 | 14.54262 | 14.48 |
Analysis performed by Simona Lippi
Reference:
Potapov, P., Hansen, M. C., Laestadius L., Turubanova S., Yaroshenko A., Thies C., Smith W.,
Zhuravleva I., Komarova A., Minnemeyer S., Esipova E. “The last frontiers of wilderness: Tracking loss of
intact forest landscapes from 2000 to 2013” Science Advances, 2017; 3:e1600821
Malaria, a life-threatening disease transmitted by mosquitoes, affects millions of people worldwide. Treatment and prevention efforts such as insecticide-treated mosquito nets and rapid diagnostic tests significantly decreased the number of malaria cases in Africa. This layer displays the change in malaria rates (%) from 2000 to 2015 among children in Sub-Saharan Africa.
''Intact Forest Landscapes (IFLs) are defined as those with an unfragmented area of at least 500 km2 and which are minimally influenced by human economic activity''.(Thies et al. 2011) IFLs are critical for stabilizing terrestrial carbon storage, harboring biodiversity, regulating hydrological regimes, and providing other ecosystem functions. Researchers, firstly, created a global IFL map using existing fine-scale maps and
a global coverage of high spatial resolution satellite imagery (Potapov et al. 2008). Moreover they assessed the distribution and dynamics of IFLs within the extent of present-day forest ecosystems tracking loss of intact forest landscapes from 2000 to 2020. In this layer we show the reduction of the IFL extent for African, Caribbean and Pacific (ACP)countries that decreased by 16,6% since the year 2000. Countries that experienced the largest reduction in intact forest landscape area over the past two decades are Solomon Islands with 66,3 %, Central African Republic with 57% and Equatorial Guinea with 50,4%. Democratic Republic of the Congo still has the highest proportion of intactness of ACP countries with 59,7Mha. IFL in Democratic Republic of the Congo has an extent of 64,3Mha as the 27,7% of its forest cover.
| Country | IFL Area in 2000 (sqkm) | IFL Area in 2020 (sqkm) | Percentage of IFL reduction |
| Angola | 2913.32 | 1752.85 | 39.83 |
| Belize | 4275.28 | 3598.44 | 15.83 |
| Cote d'Ivoire | 4558.78 | 3760.48 | 17.51 |
| Cameroon | 52752.96 | 31968.77 | 39.40 |
| Central African Republic | 8695.96 | 3727.14 | 57.14 |
| Congo | 138699.28 | 100215.44 | 27.75 |
| Cuba | 544.02 | 544.02 | 0.00 |
| Democratic Republic of the Congo | 643864.37 | 597275.75 | 7.24 |
| Dominican Republic | 795.21 | 564.89 | 28.96 |
| Equatorial Guinea | 4249.57 | 2104.83 | 50.47 |
| Ethiopia | 3671.63 | 3233.76 | 11.93 |
| Gabon | 108838.30 | 76291.78 | 29.90 |
| Guyana | 144296.97 | 117327.95 | 18.69 |
| Liberia | 4748.74 | 2880.65 | 39.34 |
| Madagascar | 17240.16 | 10799.08 | 37.36 |
| Nigeria | 2959.07 | 2416.10 | 18.35 |
| Papua New Guinea | 159523.52 | 127121.71 | 20.31 |
| Samoa | 650.86 | 643.16 | 1.18 |
| Solomon Islands | 7820.33 | 2630.05 | 66.37 |
| Suriname | 107282.59 | 92574.26 | 13.71 |
| Uganda | 984.66 | 962.06 | 2.30 |
| United Republic of Tanzania | 4081.92 | 3796.32 | 7.00 |
| Vanuatu | 706.13 | 688.33 | 2.52 |
At any given place on Earth, complex human-environment interactions are at play. They include differing rates and magnitudes of drivers (e.g. overgrazing, climate change, agricultural practices) and differing consequences in land degradation (e.g. soil erosion, changes in productivity, loss of biodiversity). The occurrence of multiple global change issues at a location suggests a potential for land degradation, at least in some form. This layer depicts where global change issues relevant to land degradation coincide at a global scale. It helps identifying local or regional areas of concern where land degradation processes may be underway.
Park managers in many countries across Africa need to monitor and understand their parks features and overall health. They can rely on the highly detailed land cover information offered by the Copernicus Hot Spot Land Cover Change Explorer for specific areas of interest –or hot spots. These areas were selected for their importance in biodiversity preservation (Protected Areas, Key Landscapes for Conservation...). For each land cover class (Natural vegetation, Wetlands, urbane areas, etc.), this layer shows which portions of the areas changed to another class over the period (2000-2019). For a more detailed analysis, compare the layer with the present landcover or refer to the online Explorer. The allows to monitor land cover and land cover change in high detail and make informed decisions based on spatial data.
The Dead Wood Carbon and Litter Carbon pools have been estimated at global level as constant fractions of ESA Biomass CCI Above Ground Biomass (AGB), v.3 (2018) using a lookup table based on global ecological zone, elevation and precipitation regime, as proposed by Harris, N.L., Gibbs, D.A., Baccini, A. et al. Global maps of twenty-first century forest carbon fluxes. Nat. Clim. Chang. 11, 234–240 (2021). https://doi.org/10.1038/s41558-020-00976-6
Land cover is defined as the physical material at the surface of the earth, usually documented via the interpretation of earth observations. Common land cover types include trees, grass, bare ground, built up areas, water, etc. How well are different ecosystem types (as indicated by land cover) preserved and how strong are anthropogenic changes affecting their distribution in a given area? Human pressures are constantly increasing and it is important to monitor the consequences of the associated changes on the environment. This map shows the changes in land cover between 1995 and 2015.
The Dead Wood Carbon and Litter Carbon pools have been estimated at global level as constant fractions of ESA Biomass CCI Above Ground Biomass (AGB), v.3 (2018) using a lookup table based on global ecological zone, elevation and precipitation regime, as proposed by Harris, N.L., Gibbs, D.A., Baccini, A. et al. Global maps of twenty-first century forest carbon fluxes. Nat. Clim. Chang. 11, 234–240 (2021). https://doi.org/10.1038/s41558-020-00976-6
Given the massive scale of livestock production systems, it is unlikely that any other single human activity has a larger environmental impact on the terrestrial land mass of the planet. As the world’s largest user of land, livestock production has a huge footprint, affecting many components of the global environment. In many developing countries, the per-capita consumption of livestock foodstuffs is projected to continue to rise. This layer displays the areas of concern for livestock density related issues, derived from the convergence of global evidence of human-environment interactions. The density of livestock is related to environmental pressures from livestock related land use change, grazing lands and fodder production, and greenhouse gas emissions.
From the new available dataset in GFW on tree cover change between 2000 and 2020, here we are displaying the net change in tree cover by percent for country.The net change in tree cover corresponds to the area of gross gain minus the area of gross loss to show the overall change (negative or positive). The attribute table provides also statistics on net change in tree cover such stable forest or disturbed forest(in hectars).
This dataset is accessed through Global Forest Watch on 04/10/2022. www.globalforestwatch.org.
Potapov, P., Hansen, M.C., Pickens, A., Hernandez-Serna, A., Tyukavina, A., Turubanova, S., Zalles, V., Li, X., Khan, A., Stolle, F., Harris, N., Song, X-P., Baggett, A., Kommareddy, I., and Kommareddy, A. 2022. The Global 2000-2020 Land Cover and Land Use Change Dataset Derived From the Landsat Archive: First Results. Frontiers in Remote Sensing, 13, April 2022. https://doi.org/10.3389/frsen.2022.856903; summarized by administrative area at WRI
The human imprint on the planet has a major impact on the functioning of the Earth system. Because the impact on the environment is closely intertwined with population dynamics, it is important to monitor and include these in the evaluation of land degradation. This layer displays the areas of concern for population change related issues derived from the convergence of global evidence of human-environment interactions that can lead to land degradation. It reflects the dynamics of increasing number of people in a certain area.
This layer is part of the World Altas of Desertification
According to UN estimates, the global population will increase by 2.4 billion between 2015 and 2050. Of this, an overwhelming 50 % will be concentrated in Africa (1.3 billion). There could be up to four times as many people in sub-Saharan Africa by the end of the century. The human imprint on the planet has a major impact on the functioning of the Earth system. Because the impact on the environment is closely intertwined with population dynamics, it is important to monitor and include these in the evaluation of land degradation. This layer displays the areas of concern for population density related issues derived from the convergence of global evidence of human-environment interactions that can lead to land degradation.
Soil organic carbon (SOC) is the carbon that remains in the soil after partial decomposition of any material produced by living organisms. It constitutes a key element of the global carbon cycle through atmosphere, vegetation, soil, rivers and the ocean. It is a crucial contributor to food production, mitigation and adaption to climate change. Soils represent the largest terrestrial organic carbon reservoir. Depending on local geology, climatic conditions and land use and management (amongst other environmental factors), soils hold different amounts of SOC. This map shows the amount of carbon stored in the soil (from 0 to 30 cm depth), expressed in Mg (megagrams or tonnes) per km2.
Carbon storage in biomass (biological material) is a key link in the global carbon cycle, and consequently for climate change mitigation. Forests in particular are an important carbon sink that help reduce the greenhouse effect. Together, the above-ground carbon (carbon fraction contained in the stems, barks, branches and twigs of living trees), the belowground biomass carbon (carbon fraction contained in roots of living trees) and the soil organic carbon (amount of carbon stored in the soil) provide a complete overview of the total carbon stored in forest areas (trees and soil). This map shows the total carbon stored expressed in units of dry mass (Mg) per ground area unit (km2).