{"id": 954523, "name": "Tree cover loss driven by commodity-driven deforestation", "unit": "hectares", "createdAt": "2024-07-26T14:48:56.000Z", "updatedAt": "2025-07-14T15:32:14.000Z", "coverage": "", "timespan": "2001-2023", "datasetId": 6636, "shortUnit": "ha", "columnOrder": 0, "shortName": "commodity_driven_deforestation", "catalogPath": "grapher/forests/2024-07-10/tree_cover_loss_by_driver/tree_cover_loss_by_driver#commodity_driven_deforestation", "descriptionShort": "[Tree cover loss](#dod:tree-cover-loss) from commodity-driven deforestation is typically large-scale deforestation linked primarily to commercial agricultural expansion.  This type of tree cover loss usually represents permanent deforestation.", "descriptionProcessing": "- Time-series gridded data (30m x 30m) of tree cover loss in areas where canopy density was greater than or equal to 30% in 2000 was extracted and cross-referenced with gridded data (10km x 10km) on the dominant driver of deforestation in each area, based on [Curtis et al 2018](https://science.sciencemag.org/content/361/6407/1108).\n- Individual grid cells may have more than one driver of tree cover loss, and drivers may vary over time.", "type": "float", "grapherConfigIdETL": "0191c16a-9234-7587-bb53-bd2a99550981", "dataChecksum": "17099919174464416913", "metadataChecksum": "-6381465814113877629", "datasetName": "Tree Cover Loss by Dominant Driver", "updatePeriodDays": 365, "datasetVersion": "2024-07-10", "nonRedistributable": false, "display": {"name": "Commodity-driven deforestation", "unit": "hectares", "shortUnit": "ha"}, "schemaVersion": 2, "processingLevel": "major", "presentation": {"topicTagsLinks": ["Forests & Deforestation"]}, "dimensions": {"years": {"values": [{"id": 2001}, {"id": 2002}, {"id": 2003}, {"id": 2004}, {"id": 2005}, {"id": 2006}, {"id": 2007}, {"id": 2008}, {"id": 2009}, {"id": 2010}, {"id": 2011}, {"id": 2012}, {"id": 2013}, {"id": 2014}, {"id": 2015}, {"id": 2016}, {"id": 2017}, {"id": 2018}, {"id": 2019}, {"id": 2020}, {"id": 2021}, {"id": 2022}, {"id": 2023}]}, "entities": {"values": [{"id": 273, "name": "Africa", "code": null}, {"id": 17, "name": "Algeria", "code": "DZA"}, {"id": 19, "name": "Angola", "code": "AGO"}, {"id": 21, "name": "Argentina", "code": "ARG"}, {"id": 275, "name": "Asia", "code": null}, {"id": 23, "name": "Australia", "code": "AUS"}, {"id": 26, "name": "Bahamas", "code": "BHS"}, {"id": 28, "name": "Bangladesh", "code": "BGD"}, {"id": 31, "name": "Belize", "code": "BLZ"}, {"id": 34, "name": "Bolivia", "code": "BOL"}, {"id": 348, "name": "Bonaire Sint Eustatius and Saba", "code": "BES"}, {"id": 37, "name": "Brazil", "code": "BRA"}, {"id": 38, "name": "Brunei", "code": "BRN"}, {"id": 40, "name": "Burkina Faso", "code": "BFA"}, {"id": 42, "name": "Cambodia", "code": "KHM"}, {"id": 43, "name": "Cameroon", "code": "CMR"}, {"id": 44, "name": "Canada", "code": "CAN"}, {"id": 197, "name": "Cayman Islands", "code": "CYM"}, {"id": 174, "name": "Central African Republic", "code": "CAF"}, {"id": 172, "name": "Chile", "code": "CHL"}, {"id": 171, "name": "China", "code": "CHN"}, {"id": 170, "name": "Colombia", "code": "COL"}, {"id": 166, "name": "Costa Rica", "code": "CRI"}, {"id": 143, "name": "Cote d'Ivoire", "code": "CIV"}, {"id": 164, "name": "Cuba", "code": "CUB"}, {"id": 279, "name": "Curacao", "code": "CUW"}, {"id": 167, "name": "Democratic Republic of Congo", "code": "COD"}, {"id": 160, "name": "Dominican Republic", "code": "DOM"}, {"id": 201, "name": "Ecuador", "code": "ECU"}, {"id": 65, "name": "Egypt", "code": "EGY"}, {"id": 259, "name": "El Salvador", "code": "SLV"}, {"id": 157, "name": "Eritrea", "code": "ERI"}, {"id": 158, "name": "Ethiopia", "code": "ETH"}, {"id": 202, "name": "Fiji", "code": "FJI"}, {"id": 253, "name": "French Guiana", "code": "GUF"}, {"id": 151, "name": "Gambia", "code": "GMB"}, {"id": 150, "name": "Ghana", "code": "GHA"}, {"id": 148, "name": "Guatemala", "code": "GTM"}, {"id": 147, "name": "Guinea", "code": "GIN"}, {"id": 94, "name": "Guinea-Bissau", "code": "GNB"}, {"id": 146, "name": "Guyana", "code": "GUY"}, {"id": 145, "name": "Haiti", "code": "HTI"}, {"id": 457, "name": "High-income countries", "code": null}, {"id": 139, "name": "Honduras", "code": "HND"}, {"id": 137, "name": "India", "code": "IND"}, {"id": 136, "name": "Indonesia", "code": "IDN"}, {"id": 132, "name": "Jamaica", "code": "JAM"}, {"id": 129, "name": "Kenya", "code": "KEN"}, {"id": 125, "name": "Laos", "code": "LAO"}, {"id": 121, "name": "Liberia", "code": "LBR"}, {"id": 461, "name": "Low-income countries", "code": null}, {"id": 460, "name": "Lower-middle-income countries", "code": null}, {"id": 118, "name": "Madagascar", "code": "MDG"}, {"id": 117, "name": "Malawi", "code": "MWI"}, {"id": 116, "name": "Malaysia", "code": "MYS"}, {"id": 115, "name": "Mali", "code": "MLI"}, {"id": 284, "name": "Martinique", "code": "MTQ"}, {"id": 113, "name": "Mexico", "code": "MEX"}, {"id": 216, "name": "Montserrat", "code": "MSR"}, {"id": 110, "name": "Morocco", "code": "MAR"}, {"id": 109, "name": "Mozambique", "code": "MOZ"}, {"id": 142, "name": "Myanmar", "code": "MMR"}, {"id": 108, "name": "Namibia", "code": "NAM"}, {"id": 220, "name": "New Caledonia", "code": "NCL"}, {"id": 106, "name": "New Zealand", "code": "NZL"}, {"id": 105, "name": "Nicaragua", "code": "NIC"}, {"id": 103, "name": "Nigeria", "code": "NGA"}, {"id": 294, "name": "North America", "code": null}, {"id": 277, "name": "Oceania", "code": null}, {"id": 224, "name": "Palau", "code": "PLW"}, {"id": 100, "name": "Panama", "code": "PAN"}, {"id": 99, "name": "Papua New Guinea", "code": "PNG"}, {"id": 98, "name": "Paraguay", "code": "PRY"}, {"id": 97, "name": "Peru", "code": "PER"}, {"id": 96, "name": "Philippines", "code": "PHL"}, {"id": 91, "name": "Rwanda", "code": "RWA"}, {"id": 227, "name": "Saint Kitts and Nevis", "code": "KNA"}, {"id": 229, "name": "Saint Lucia", "code": "LCA"}, {"id": 280, "name": "Saint Martin (French part)", "code": "MAF"}, {"id": 89, "name": "Senegal", "code": "SEN"}, {"id": 87, "name": "Sierra Leone", "code": "SLE"}, {"id": 86, "name": "Singapore", "code": "SGP"}, {"id": 281, "name": "Sint Maarten (Dutch part)", "code": "SXM"}, {"id": 195, "name": "Solomon Islands", "code": "SLB"}, {"id": 81, "name": "South Africa", "code": "ZAF"}, {"id": 295, "name": "South America", "code": null}, {"id": 258, "name": "South Sudan", "code": "SSD"}, {"id": 234, "name": "Suriname", "code": "SUR"}, {"id": 64, "name": "Tanzania", "code": "TZA"}, {"id": 75, "name": "Thailand", "code": "THA"}, {"id": 73, "name": "Trinidad and Tobago", "code": "TTO"}, {"id": 71, "name": "Tunisia", "code": "TUN"}, {"id": 236, "name": "Turks and Caicos Islands", "code": "TCA"}, {"id": 68, "name": "Uganda", "code": "UGA"}, {"id": 13, "name": "United States", "code": "USA"}, {"id": 256, "name": "United States Virgin Islands", "code": "VIR"}, {"id": 459, "name": "Upper-middle-income countries", "code": null}, {"id": 63, "name": "Uruguay", "code": "URY"}, {"id": 221, "name": "Vanuatu", "code": "VUT"}, {"id": 238, "name": "Venezuela", "code": "VEN"}, {"id": 84, "name": "Vietnam", "code": "VNM"}, {"id": 355, "name": "World", "code": "OWID_WRL"}, {"id": 60, "name": "Zambia", "code": "ZMB"}, {"id": 80, "name": "Zimbabwe", "code": "ZWE"}]}}, "origins": [{"id": 1152, "title": "Tree Cover Loss by Dominant Driver", "description": "Shows a time-series of tree cover loss by dominant driver for the time period 2001-2023, the dominant driver of tree cover loss from 2001-2023 using the following five categories:\n\n- Commodity-driven deforestation: Large-scale deforestation linked primarily to commercial agricultural expansion.\n\n- Shifting agriculture: Temporary loss or permanent deforestation due to small- and medium-scale agriculture.\n\n- Forestry: Temporary loss from plantation and natural forest harvesting, with some deforestation of primary forests.\n\n- Wildfire: Temporary loss, does not include fire clearing for agriculture.\n\n- Urbanization: Deforestation for expansion of urban centers.\n\nThe commodity-driven deforestation and urbanization categories represent permanent deforestation, while tree cover usually regrows in the other categories.", "producer": "Global Forest Watch", "citationFull": "- Hansen, M.C., P.V. Potapov, R. Moore, et al. 2013. \"High-Resolution Global Maps of 21st-Century Forest Cover Change.\" Science 342: 850\u201353. Data available on-line from: https://glad.earthengine.app/view/global-forest-change.\n- Curtis, P.G., C.M. Slay, N.L. Harris, A. Tyukavina, and M.C. Hansen. 2018. \u201cClassifying Drivers of Global Forest Loss.\u201d Science. Accessed through Global Forest Watch on 06/08/2024. www.globalforestwatch.org.\n- Global Administrative Areas Database, version 3.6. Available at http://gadm.org/", "attributionShort": "GFW", "urlMain": "https://data.globalforestwatch.org/documents/ff304784a9f04ac4a45a40f60bae5b26/about", "dateAccessed": "2024-08-06", "datePublished": "2024-05-31", "license": {"url": "https://data.globalforestwatch.org/documents/ff304784a9f04ac4a45a40f60bae5b26/about", "name": "CC BY 4.0"}}]}