Dataset: Global Forest Data: 2001-2022

About this Dataset

Global Forest Data: 2001-2022

This dataset, titled "Global Forest Data (2001-2022): Tree Cover, Biomass, and Carbon Flux Analysis," presents a comprehensive overview of global forestry metrics over 21 years. It includes data on tree cover extent, aboveground live woody biomass (AGB) stocks and densities, along with detailed annual records of tree cover loss and forest greenhouse gas (GHG) emissions from 2001 to 2022. The data set is enhanced by insights into annual average forest CO2 removals (sequestration) and the net GHG flux at both the country and first sub-national levels.

Key features of the dataset:

Tree Cover Data: Offers information on tree cover loss and emissions with annual granularity for 2001-2022. Tree cover statistics are available for the years 2000 and 2010.
Biomass Stocks and Densities: Presents aboveground biomass stocks and densities for 2000.
Carbon Metrics: Includes carbon densities, emissions, removals, and net flux data in megagrams CO2e/yr, detailing carbon dioxide, methane (CH4), and nitrous oxide (N2O) emissions due to forest disturbances.
Canopy Cover Thresholds: Data is categorized by per cent canopy cover (>10%, 15%, 20%, 25%, 30%, 50%, and 75%) for 2000, with emissions, removals, and net flux presented for >30%, 50%, and 75% canopy cover levels.
The dataset is a result of collaborations with notable entities such as the University of Maryland's GLAD laboratory and Google and is based on research by Hansen et al. (2013) and Harris et al. (2021). This resource is essential for understanding the dynamics of tree cover loss, forest carbon emissions, and the overall net effect of climate change. It is precious for environmental researchers, policymakers, and educators looking to analyze trends and develop strategies in forest conservation and carbon management.

Please note: The dataset defines "tree cover" as vegetation over 5 meters in height, including natural forests or plantations. "Loss" refers to the removal or mortality of tree cover from various factors and does not equate to deforestation. The emissions, removals, and net flux data are model-based and should be interpreted with care, considering the inherent degree of error and uncertainty. Users are encouraged to read the provided metadata and documentation thoroughly before analysis.

For further inquiries about this dataset, contact Liz Goldman at the World Resources Institute (elizabeth.goldman@wri.org).

Tables

Country Carbon Data

@kaggle.karnikakapoor_global_forest_data_2001_2022.country_carbon_data

171.63 KB
1888 rows
30 columns


CREATE TABLE country_carbon_data (
  "country" VARCHAR,
  "umd_tree_cover_density_2000_threshold" BIGINT,
  "umd_tree_cover_extent_2000_ha" BIGINT,
  "gfw_aboveground_carbon_stocks_2000_mg_c" BIGINT,
  "avg_gfw_aboveground_carbon_stocks_2000_mg_c_ha_1" BIGINT,
  "gfw_forest_carbon_gross_emissions_mg_co2e_yr_1" DOUBLE,
  "gfw_forest_carbon_gross_removals_mg_co2_yr_1" DOUBLE,
  "gfw_forest_carbon_net_flux_mg_co2e_yr_1" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2001_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2002_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2003_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2004_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2005_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2006_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2007_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2008_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2009_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2010_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2011_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2012_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2013_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2014_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2015_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2016_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2017_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2018_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2019_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2020_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2021_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2022_mg_co2e" DOUBLE
);

Country Tree Cover Loss

@kaggle.karnikakapoor_global_forest_data_2001_2022.country_tree_cover_loss

214.95 KB
1888 rows
28 columns


CREATE TABLE country_tree_cover_loss (
  "country" VARCHAR,
  "threshold" BIGINT,
  "area_ha" BIGINT,
  "extent_2000_ha" BIGINT,
  "extent_2010_ha" BIGINT,
  "gain_2000_2020_ha" BIGINT,
  "tc_loss_ha_2001" BIGINT,
  "tc_loss_ha_2002" BIGINT,
  "tc_loss_ha_2003" BIGINT,
  "tc_loss_ha_2004" BIGINT,
  "tc_loss_ha_2005" BIGINT,
  "tc_loss_ha_2006" BIGINT,
  "tc_loss_ha_2007" BIGINT,
  "tc_loss_ha_2008" BIGINT,
  "tc_loss_ha_2009" BIGINT,
  "tc_loss_ha_2010" BIGINT,
  "tc_loss_ha_2011" BIGINT,
  "tc_loss_ha_2012" BIGINT,
  "tc_loss_ha_2013" BIGINT,
  "tc_loss_ha_2014" BIGINT,
  "tc_loss_ha_2015" BIGINT,
  "tc_loss_ha_2016" BIGINT,
  "tc_loss_ha_2017" BIGINT,
  "tc_loss_ha_2018" BIGINT,
  "tc_loss_ha_2019" BIGINT,
  "tc_loss_ha_2020" BIGINT,
  "tc_loss_ha_2021" BIGINT,
  "tc_loss_ha_2022" BIGINT
);

Subnational 1 Carbon Data

@kaggle.karnikakapoor_global_forest_data_2001_2022.subnational_1_carbon_data

1.92 MB
28000 rows
31 columns


CREATE TABLE subnational_1_carbon_data (
  "country" VARCHAR,
  "subnational1" VARCHAR,
  "umd_tree_cover_density_2000_threshold" BIGINT,
  "umd_tree_cover_extent_2000_ha" BIGINT,
  "gfw_aboveground_carbon_stocks_2000_mg_c" BIGINT,
  "avg_gfw_aboveground_carbon_stocks_2000_mg_c_ha_1" BIGINT,
  "gfw_forest_carbon_gross_emissions_mg_co2e_yr_1" DOUBLE,
  "gfw_forest_carbon_gross_removals_mg_co2_yr_1" DOUBLE,
  "gfw_forest_carbon_net_flux_mg_co2e_yr_1" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2001_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2002_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2003_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2004_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2005_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2006_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2007_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2008_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2009_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2010_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2011_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2012_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2013_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2014_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2015_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2016_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2017_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2018_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2019_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2020_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2021_mg_co2e" DOUBLE,
  "gfw_forest_carbon_gross_emissions_2022_mg_co2e" DOUBLE
);

Subnational 1 Tree Cover Loss

@kaggle.karnikakapoor_global_forest_data_2001_2022.subnational_1_tree_cover_loss

1.76 MB
28000 rows
29 columns


CREATE TABLE subnational_1_tree_cover_loss (
  "country" VARCHAR,
  "subnational1" VARCHAR,
  "threshold" BIGINT,
  "area_ha" BIGINT,
  "extent_2000_ha" BIGINT,
  "extent_2010_ha" BIGINT,
  "gain_2000_2020_ha" BIGINT,
  "tc_loss_ha_2001" BIGINT,
  "tc_loss_ha_2002" BIGINT,
  "tc_loss_ha_2003" BIGINT,
  "tc_loss_ha_2004" BIGINT,
  "tc_loss_ha_2005" BIGINT,
  "tc_loss_ha_2006" BIGINT,
  "tc_loss_ha_2007" BIGINT,
  "tc_loss_ha_2008" BIGINT,
  "tc_loss_ha_2009" BIGINT,
  "tc_loss_ha_2010" BIGINT,
  "tc_loss_ha_2011" BIGINT,
  "tc_loss_ha_2012" BIGINT,
  "tc_loss_ha_2013" BIGINT,
  "tc_loss_ha_2014" BIGINT,
  "tc_loss_ha_2015" BIGINT,
  "tc_loss_ha_2016" BIGINT,
  "tc_loss_ha_2017" BIGINT,
  "tc_loss_ha_2018" BIGINT,
  "tc_loss_ha_2019" BIGINT,
  "tc_loss_ha_2020" BIGINT,
  "tc_loss_ha_2021" BIGINT,
  "tc_loss_ha_2022" BIGINT
);