• This record comes from PubMed

Integrated global assessment of the natural forest carbon potential

. 2023 Dec ; 624 (7990) : 92-101. [epub] 20231113

Language English Country England, Great Britain Media print-electronic

Document type Journal Article

Links

PubMed 37957399
PubMed Central PMC10700142
DOI 10.1038/s41586-023-06723-z
PII: 10.1038/s41586-023-06723-z
Knihovny.cz E-resources

Forests are a substantial terrestrial carbon sink, but anthropogenic changes in land use and climate have considerably reduced the scale of this system1. Remote-sensing estimates to quantify carbon losses from global forests2-5 are characterized by considerable uncertainty and we lack a comprehensive ground-sourced evaluation to benchmark these estimates. Here we combine several ground-sourced6 and satellite-derived approaches2,7,8 to evaluate the scale of the global forest carbon potential outside agricultural and urban lands. Despite regional variation, the predictions demonstrated remarkable consistency at a global scale, with only a 12% difference between the ground-sourced and satellite-derived estimates. At present, global forest carbon storage is markedly under the natural potential, with a total deficit of 226 Gt (model range = 151-363 Gt) in areas with low human footprint. Most (61%, 139 Gt C) of this potential is in areas with existing forests, in which ecosystem protection can allow forests to recover to maturity. The remaining 39% (87 Gt C) of potential lies in regions in which forests have been removed or fragmented. Although forests cannot be a substitute for emissions reductions, our results support the idea2,3,9 that the conservation, restoration and sustainable management of diverse forests offer valuable contributions to meeting global climate and biodiversity targets.

5 N Sukachev Institute of Forest FRC KSC Siberian Branch of the Russian Academy of Sciences Krasnoyarsk Russian Federation

Agricultural High School Polytechnic Institute of Viseu IPV Viseu Portugal

AgroParisTech UMR AMAP Cirad CNRS INRA IRD Université de Montpellier Montpellier France

AMAP Univ Montpellier CIRAD CNRS INRAE IRD Montpellier France

AMAP Univ Montpellier Montpellier France

Andes to Amazon Biodiversity Program Madre de Dios Peru

Bavarian State Institute of Forestry Freising Germany

Biodiversity and Natural Resources Program International Institute for Applied Systems Analysis Laxenburg Austria

Biology Centre of the Czech Academy of Sciences Institute of Entomology České Budějovice Czech Republic

Biology Department Centre for Structural and Functional Genomics Concordia University Montreal Quebec Canada

Botanical Garden of Ural Branch of Russian Academy of Sciences Ural State Forest Engineering University Yekaterinburg Russian Federation

CAVElab Computational and Applied Vegetation Ecology Department of Environment Ghent University Ghent Belgium

Center for Biodiversity Dynamics in a Changing World Department of Biology Aarhus University Aarhus Denmark

Center for Ecological Dynamics in a Novel Biosphere Department of Biology Aarhus University Aarhus Denmark

Center for Forest Ecology and Productivity Russian Academy of Sciences Moscow Russian Federation

Center for Natural Climate Solutions Conservation International Arlington VA USA

Center for Tropical Research Institute of the Environment and Sustainability University of California Los Angeles Los Angeles CA USA

Central IT Teaching and Research University of Zürich Zürich Switzerland

Centre for Agricultural Research in Suriname Paramaribo Suriname

Centre for Conservation Science The Royal Society for the Protection of Birds Sandy UK

Centre for Forest Research Université du Québec à Montréal Montréal Quebec Canada

Centre for Invasion Biology Department of Mathematical Sciences Stellenbosch University Stellenbosch South Africa

Centre for the Research and Technology of Agro Environmental and Biological Sciences CITAB UTAD Quinta de Prados Vila Real Portugal

Centro Agricoltura Alimenti Ambiente University of Trento San Michele All'adige Italy

Centro de Ciências Biológicas e da Natureza Universidade Federal do Acre Rio Branco Brazil

Centro Multidisciplinar Universidade Federal do Acre Rio Branco Brazil

Chair of Forest Growth and Yield Science Department of Life Science Systems TUM School of Life Sciences Technical University of Munich Freising Germany

CIRAD CNRS INRAE IRD Montpellier France

Cirad UMR EcoFoG Campus Agronomique Kourou French Guiana

Cirad UPR Forêts et Sociétés University of Montpellier Montpellier France

Climate Fire and Carbon Cycle Sciences USDA Forest Service Durham NH USA

Colegio de Profesionales Forestales de Cochabamba Cochabamba Bolivia

Compensation International Progress S A Ciprogress Greenlife Bogotá Colombia

Conservation Research Institute Department of Plant Sciences University of Cambridge Cambridge UK

CTFS ForestGEO Smithsonian Tropical Research Institute Balboa Panama

Departamento de Biología Universidad de la Serena La Serena Chile

Departamento de Ciências Biológicas Universidade do Estado de Mato Grosso Nova Xavantina Brazil

Departamento de Ecologia Universidade Federal do Rio Grande do Norte Natal Brazil

Departamento de Ecología y Recursos Naturales Facultad de Ciencias Universidad Nacional Autónoma de México Mexico City Mexico

Departamento de Gestión Forestal y su Medio Ambiente Universidad de Chile Santiago Chile

Department of Agricultural and Forest Sciences and Engineering University of Lleida Lleida Spain

Department of Agricultural Food Environmental and Animal Sciences University of Udine Udine Italy

Department of Agriculture Food Environment and Forest University of Firenze Florence Italy

Department of Agriculture Forestry and Bioresources Seoul National University Seoul South Korea

Department of Biological Geological and Environmental Sciences University of Bologna Bologna Italy

Department of Biology Stanford University Stanford CA USA

Department of Biology University of Florence Florence Italy

Department of Biology University of Missouri St Louis St Louis MO USA

Department of Biology University of Oxford Oxford UK

Department of Biology Washington University St Louis MO USA

Department of Biology West Virginia University Morgantown WV USA

Department of Botany Dr Harisingh Gour Vishwavidyalaya Sagar India

Department of Botany Faculty of Science University of South Bohemia České Budějovice Czech Republic

Department of Ecology and Environmental Sciences Pondicherry University Puducherry India

Department of Ecology and Evolutionary Biology University of Arizona Tucson AZ USA

Department of Ecology and Evolutionary Biology University of Connecticut Storrs CT USA

Department of Environment and Development Studies United International University Dhaka Bangladesh

Department of Environment and Geography University of York York UK

Department of Environment and Science Queensland Herbarium and Biodiversity Science Toowong Queensland Australia

Department of Environmental Sciences Central University of Jharkhand Ranchi India

Department of Evolutionary Anthropology Duke University Durham NC USA

Department of Evolutionary Biology and Environmental Studies University of Zürich Zürich Switzerland

Department of Forest and Wood Science Stellenbosch University Stellenbosch South Africa

Department of Forest Engineering Universidade Regional de Blumenau Blumenau Brazil

Department of Forest Management Dendrometry and Forest Economics Warsaw University of Life Sciences Warsaw Poland

Department of Forest Resources University of Minnesota St Paul MN USA

Department of Forest Science Tokyo University of Agriculture Tokyo Japan

Department of Forest Sciences Luiz de Queiroz College of Agriculture University of São Paulo Piracicaba Brazil

Department of Forestry and Environment National Polytechnic Institute Yamoussoukro Côte d'Ivoire

Department of Forestry and Natural Resources Purdue University West Lafayette IN USA

Department of Game Management and Forest Protection Poznań University of Life Sciences Poznań Poland

Department of Geography Environment and Geomatics University of Guelph Guelph Ontario Canada

Department of Geomatics Forest Research Institute Sękocin Stary Poland

Department of Geosciences and Natural Resource Management University of Copenhagen Copenhagen Denmark

Department of Natural Sciences Manchester Metropolitan University Manchester UK

Department of Physical and Biological Sciences The College of Saint Rose Albany NY USA

Department of Physical and Environmental Sciences Colorado Mesa University Grand Junction CO USA

Department of Plant Biology Institute of Biology University of Campinas UNICAMP Campinas Brazil

Department of Plant Systematics University of Bayreuth Bayreuth Germany

Department of Spatial Regulation GIS and Forest Policy Institute of Forestry Belgrade Serbia

Department of Wetland Ecology Institute of Geography and Geoecology Karlsruhe Institute for Technology Karlsruhe Germany

Department of Wildlife Management College of African Wildlife Management Mweka Tanzania

Department of Zoology University of Oxford Oxford UK

Division of Forest and Forest Resources Norwegian Institute of Bioeconomy Research Ås Norway

Division of Forest Resources Information Korea Forest Promotion Institute Seoul South Korea

Division of Forestry and Natural Resources West Virginia University Morgantown WV USA

Ecole de Foresterie et Ingénierie du Bois Université Nationale d'Agriculture Kétou Benin

Environmental and Life Sciences Faculty of Science Universiti Brunei Darussalam Gadong Brunei Darussalam

Environmental Change Institute School of Geography and the Environment University of Oxford Oxford UK

Environmental Studies and Research Center University of Campinas UNICAMP Campinas Brazil

Facultad de Ciencias Forestales y Ambientales Universidad Juárez del Estado de Durango Durango Mexico

Faculty of Biology Białowieża Geobotanical Station University of Warsaw Białowieża Poland

Faculty of Environmental Sciences and Natural Resource Management Norwegian University of Life Sciences Ås Norway

Faculty of Forestry and Wood Sciences Czech University of Life Sciences Prague Czech Republic

Faculty of Forestry Qingdao Agricultural University Qingdao China

Faculty of Natural Resources Management Lakehead University Thunder Bay Ontario Canada

Field Museum of Natural History Chicago IL USA

Flamingo Land Ltd Kirby Misperton UK

Forest Ecology and Forest Management Group Wageningen University and Research Wageningen The Netherlands

Forest Research Institute Malaysia Kuala Lumpur Malaysia

Forest Research Institute University of the Sunshine Coast Sippy Downs Queensland Australia

Forestry Consultant Grosseto Italy

Forestry Division Food and Agriculture Organization of the United Nations Rome Italy

Forestry Faculty Mytischi Branch of Bauman Moscow State Technical University Mytischi Russian Federation

Forestry School Tecnológico de Costa Rica TEC Cartago Costa Rica

Fundacion ConVida Universidad Nacional Abierta y a Distancia UNAD Medellín Colombia

Geobotany Faculty of Biology University of Freiburg Freiburg im Breisgau Germany

Geography Faculty of Environment Science and Economy University of Exeter Exeter UK

German Centre for Integrative Biodiversity Research Halle Jena Leipzig Leipzig Germany

GIP Ecofor Paris France

Glick Designs LLC Hadley MA USA

Global Change Research Institute CAS Brno Czech Republic

Graduate School of Agriculture Kyoto University Kyoto Japan

Guyana Forestry Commission Georgetown French Guiana

Hawkesbury Institute for the Environment Western Sydney University Penrith New South Wales Australia

IFER Institute of Forest Ecosystem Research Jilove u Prahy Czech Republic

Independent Researcher Bad Aussee Austria

Info Flora Geneva Switzerland

Institut Agronomique néo Calédonien Nouméa New Caledonia

Institute for Global Change Biology University of Michigan Ann Arbor MI USA

Institute for World Forestry University of Hamburg Hamburg Germany

Institute of Biology Geobotany and Botanical Garden Martin Luther University Halle Wittenberg Halle Wittenberg Germany

Institute of Botany The Czech Academy of Sciences Třeboň Czech Republic

Institute of Dendrology Polish Academy of Sciences Kórnik Poland

Institute of Forestry and Engineering Estonian University of Life Sciences Tartu Estonia

Institute of Forestry Belgrade Serbia

Institute of Integrative Biology ETH Zurich Zurich Switzerland

Institute of Plant Sciences University of Bern Bern Switzerland

Institute of Tropical Forest Conservation Mbarara University of Science and Technology Mbarara Uganda

Instituto de Investigaciones de la Amazonía Peruana Iquitos Peru

Instituto de Silvicultura e Industria de la Madera Universidad Juárez del Estado de Durango Durango Mexico

Instituto Nacional de Pesquisas da Amazônia Manaus Brazil

Instituto Nacional de Tecnología Agropecuaria Río Gallegos Argentina

Interdisciplinary Program in Agricultural and Forest Meteorology Seoul National University Seoul South Korea

IRET Herbier National du Gabon Libreville Gabon

Isotope Bioscience Laboratory ISOFYS Ghent University Ghent Belgium

Iwokrama International Centre for Rainforest Conservation and Development Georgetown French Guiana

Jardín Botánico de Medellín Medellín Colombia

Jardín Botánico de Missouri Oxapampa Peru

Joint Research Centre European Commission Ispra Italy

Joint Research Unit CTFC AGROTECNIO CERCA Solsona Spain

Key Laboratory of Tropical Biological Resources Ministry of Education School of Life and Pharmaceutical Sciences Hainan University Haikou China

Laboratório de Dendrologia e Silvicultura Tropical Centro de Formação em Ciências Agroflorestais Universidade Federal do Sul da Bahia Itabuna Brazil

LINCGlobal Museo Nacional de Ciencias Naturales CSIC Madrid Spain

Manaaki Whenua Landcare Research Lincoln New Zealand

Museo de Historia Natural Noel Kempff Mercado Santa Cruz de la Sierra Bolivia

Museu Paraense Emílio Goeldi Coordenação de Ciências da Terra e Ecologia Belém Brazil

National Biodiversity Future Center Palermo Italy

National Center for Agro Meteorology Seoul South Korea

National Forest Centre Forest Research Institute Zvolen Zvolen Slovakia

National Institute of Amazonian Research Manaus Brazil

Natural Resources Institute Finland Joensuu Finland

Natural Science Department Universidade Regional de Blumenau Blumenau Brazil

Naturalis Biodiversity Center Leiden The Netherlands

Negaunee Integrative Research Center Field Museum of Natural History Chicago IL USA

Nicholas School of the Environment Duke University Durham NC USA

Peoples' Friendship University of Russia Moscow Russian Federation

Plant Ecology and Nature Conservation Group Wageningen University Wageningen The Netherlands

Plant Systematic and Ecology Laboratory Department of Biology Higher Teachers' Training College University of Yaoundé 1 Yaoundé Cameroon

Polish State Forests Coordination Center for Environmental Projects Warsaw Poland

Pontificia Universidad Católica del Ecuador Quito Ecuador

Proceedings of the National Academy of Sciences Washington DC USA

Programa de Ciencias del Agro y el Mar Herbario Universitario UNELLEZ Guanare Portuguesa Venezuela

Programa de Doctorado en Ingeniería para el Desarrollo Rural y Civil Escuela de Doctorado Internacional de la Universidad de Santiago de Compostela Santiago de Compostela Spain

Programa de Pós graduação em Biologia Vegetal Instituto de Biologia Universidade Estadual de Campinas Campinas Brazil

Quantitative Biodiversity Dynamics Department of Biology Utrecht University Utrecht The Netherlands

Remote Sensing and Geoinformatics Section Helmholtz GFZ German Research Centre for Geosciences Potsdam Germany

Remote Sensing Laboratories Department of Geography University of Zürich Zürich Switzerland

Research and Innovation Centre Fondazione Edmund Mach San Michele All'adige Italy

Research Center of Forest Management Engineering of State Forestry and Grassland Administration Beijing Forestry University Beijing China

Research Institute for Agriculture and Life Sciences Seoul National University Seoul South Korea

Rhino and Forest Fund e 5 Kehl Germany

Royal Botanic Garden Edinburgh Edinburgh UK

School of Biological and Behavioural Sciences Queen Mary University of London London UK

School of Biological Sciences University of Bristol Bristol UK

School of Forestry and Environmental Studies Yale University New Haven CT USA

School of Geography University of Leeds Leeds UK

School of Social Sciences Western Sydney University Penrith New South Wales Australia

Section for Ecoinformatics and Biodiversity Department of Biology Aarhus University Aarhus Denmark

Servicios Ecosistémicos y Cambio Climático Fundación Con Vida and Corporación COL TREE Medellín Colombia

Siberian Federal University Krasnoyarsk Russian Federation

Silviculture and Forest Ecology of the Temperate Zones University of Göttingen Göttingen Germany

Silviculture Research Institute Vietnamese Academy of Forest Sciences Hanoi Vietnam

Society for Ecological Restoration Washington DC USA

Spatial Ecology and Conservation Lab Center for Latin American Studies University of Florida Gainesville FL USA

Ștefan cel Mare University of Suceava Suceava Romania

Sustainable Forest Management Research Institute University Valladolid Valladolid Spain

Swiss Federal Institute for Forest Snow and Landscape Research WSL Birmensdorf Switzerland

TERRA Teaching and Research Centre Gembloux Agro Bio Tech University of Liege Liege Belgium

The Nature Conservancy Boulder CO USA

The Santa Fe Institute Santa Fe NM USA

Theoretical Ecology Unit African Institute for Mathematical Sciences Cape Town South Africa

Tropenbos International Wageningen The Netherlands

Tropical Biodiversity Section MUSE Museo delle Scienze Trento Italy

Tropical Forests and People Research Centre University of the Sunshine Coast Sippy Downs Queensland Australia

UFR Biosciences University Félix Houphouët Boigny Abidjan Côte d'Ivoire

UniSA STEM and Future Industries Institute University of South Australia Adelaide South Australia Australia

Universidad del Tolima Ibagué Colombia

Universidad Estatal Amazónica Puyo Ecuador

Universidad Nacional de la Amazonía Peruana Iquitos Peru

Universidad Nacional de San Antonio Abad del Cusco Cusco Peru

Université de Lorraine AgroParisTech INRAE Silva Nancy France

Vicerrectoría de Investigación y Postgrado Universidad de La Frontera Temuco Chile

Wageningen University and Research Wageningen The Netherlands

Wild Chimpanzee Foundation Liberia Office Monrovia Liberia

Wildlife Conservation Society New York NY USA

See more in PubMed

Pan Y, Birdsey RA, Phillips OL, Jackson RB. The structure, distribution, and biomass of the world’s forests. Annu. Rev. Ecol. Evol. Syst. 2013;44:593–622. doi: 10.1146/annurev-ecolsys-110512-135914. DOI

Walker W, et al. The global potential for increased storage of carbon on land. Proc. Natl Acad. Sci. 2022;119:e2111312119. doi: 10.1073/pnas.2111312119. PubMed DOI PMC

Bastin JF, et al. The global tree restoration potential. Science. 2019;364:76–79. doi: 10.1126/science.aax0848. PubMed DOI

Erb K-H, et al. Unexpectedly large impact of forest management and grazing on global vegetation biomass. Nature. 2018;553:73–76. doi: 10.1038/nature25138. PubMed DOI PMC

Roebroek CTJ, Duveiller G, Seneviratne SI, Davin EL, Cescatt A. Releasing global forests from human management: How much more carbon could be stored? Science. 2023;380:749–753. doi: 10.1126/science.add5878. PubMed DOI

Liang J, et al. Positive biodiversity-productivity relationship predominant in global forests. Science. 2016;354:aaf8957. doi: 10.1126/science.aaf8957. PubMed DOI

Araza A, et al. A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps. Remote Sens. Environ. 2022;272:112917. doi: 10.1016/j.rse.2022.112917. DOI

Spawn SA, Sullivan CC, Lark TJ, Gibbs HK. Harmonized global maps of above and belowground biomass carbon density in the year 2010. Sci. Data. 2020;7:112. doi: 10.1038/s41597-020-0444-4. PubMed DOI PMC

Lewis SL, Wheeler CE, Mitchard ETA, Koch A. Restoring natural forests is the best way to remove atmospheric carbon. Nature. 2019;568:25–28. doi: 10.1038/d41586-019-01026-8. PubMed DOI

Pecl GT, et al. Biodiversity redistribution under climate change: impacts on ecosystems and human well-being. Science. 2017;355:eaai9214. doi: 10.1126/science.aai9214. PubMed DOI

Intergovernmental Panel on Climate Change (IPCC). Global Warming of 1.5°C. An IPCC Special Report on the Impacts of Global Warming of 1.5°C Above Pre-industrial Levels and Related Global Greenhouse Gas Emission Pathways, in the Context of Strengthening the Global Response to the Threat of Climate Change (Cambridge Univ. Press, 2018).

Food and Agriculture Organization of the United Nations (FAO). In Brief to The State of the World’s Forests 2022. Forest Pathways for Green Recovery and Building Inclusive, Resilient and Sustainable Economies (FAO, 2022).

Crowther TW, et al. Mapping tree density at a global scale. Nature. 2015;525:201–205. doi: 10.1038/nature14967. PubMed DOI

Olagunju TE. Impacts of human-induced deforestation, forest degradation and fragmentation on food security. N. Y. Sci. J. 2015;8:4–16.

Friedlingstein P, et al. Global carbon budget 2020. Earth Syst. Sci. Data. 2020;12:3269–3340. doi: 10.5194/essd-12-3269-2020. DOI

Mrema EM, et al. Ten years to restore a planet. One Earth. 2020;3:647–652. doi: 10.1016/j.oneear.2020.11.015. DOI

Convention on Biological Diversity (CBD). Kunming-Montreal Global Biodiversity Framework (UN Environment Programme, 2022).

26th UN Climate Change Conference of the Parties (COP26). Glasgow Leaders’ Declaration on Forests and Land Use (United Nations Climate Change, 2021).

Pan Y, et al. A large and persistent carbon sink in the world’s forests. Science. 2011;333:988–993. doi: 10.1126/science.1201609. PubMed DOI

Lewis SL, Mitchard ETA, Prentice C, Maslin M, Poulter B. Comment on “The global tree restoration potential”. Science. 2019;366:eaaz0388. doi: 10.1126/science.aaz0388. PubMed DOI

Veldman JW, et al. Comment on “The global tree restoration potential”. Science. 2019;366:eaay7976. doi: 10.1126/science.aay7976. PubMed DOI

Scott JM, et al. Nature reserves: do they capture the full range of America’s biological diversity? Ecol. Appl. 2001;11:999–1007. doi: 10.1890/1051-0761(2001)011[0999:NRDTCT]2.0.CO;2. DOI

Sanderman J, Hengl T, Fiske GJ. Soil carbon debt of 12,000 years of human land use. Proc. Natl Acad. Sci. 2017;114:9575–9580. doi: 10.1073/pnas.1706103114. PubMed DOI PMC

Ma H, et al. The global distribution and environmental drivers of aboveground versus belowground plant biomass. Nat. Ecol. Evol. 2021;5:1110–1122. doi: 10.1038/s41559-021-01485-1. PubMed DOI

Avitabile V, et al. An integrated pan-tropical biomass map using multiple reference datasets. Glob. Change Biol. 2016;22:1406–1420. doi: 10.1111/gcb.13139. PubMed DOI

Potapov P, et al. The last frontiers of wilderness: tracking loss of intact forest landscapes from 2000 to 2013. Sci. Adv. 2017;3:e1600821. doi: 10.1126/sciadv.1600821. PubMed DOI PMC

Skytt T, Englund G, Jonsson B. Climate mitigation forestry—temporal trade-offs. Environ. Res. Lett. 2021;16:114037. doi: 10.1088/1748-9326/ac30fa. DOI

Du Z, et al. A global map of planting years of plantations. Sci. Data. 2022;9:141. doi: 10.1038/s41597-022-01260-2. PubMed DOI PMC

Xu L, et al. Changes in global terrestrial live biomass over the 21st century. Sci. Adv. 2021;7:eabe9829. doi: 10.1126/sciadv.abe9829. PubMed DOI PMC

Portmann R, et al. Global forestation and deforestation affect remote climate via adjusted atmosphere and ocean circulation. Nat. Commun. 2022;13:5569. doi: 10.1038/s41467-022-33279-9. PubMed DOI PMC

Rohatyn S, Yakir D, Rotenberg E, Carmel Y. Limited climate change mitigation potential through forestation of the vast dryland regions. Science. 2022;377:1436–1439. doi: 10.1126/science.abm9684. PubMed DOI

Alkama R, Cescatti A. Biophysical climate impacts of recent changes in global forest cover. Science. 2016;351:600–604. doi: 10.1126/science.aac8083. PubMed DOI

Nabuurs, G.-J. et al. in IPCC, 2022: Climate Change 2022: Mitigation of Climate Change. Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (eds Shukla, P. R. et al.) Ch. 7 (Cambridge Univ. Press, 2023).

Cassidy ES, West PC, Gerber JS, Foley JA. Redefining agricultural yields: from tonnes to people nourished per hectare. Environ. Res. Lett. 2013;8:034015. doi: 10.1088/1748-9326/8/3/034015. DOI

Schiermeir Q. Eat less meat: UN climate-change panel tackles diets. Nature. 2019;572:291–292. doi: 10.1038/d41586-019-02409-7. PubMed DOI

Hayek MN, Harwatt H, Ripple WJ, Mueller ND. The carbon opportunity cost of animal-sourced food production on land. Nat. Sustain. 2021;4:21–24. doi: 10.1038/s41893-020-00603-4. DOI

Dubayah, R. O. et al. GEDI L4A Footprint Level Aboveground Biomass Density, Version 1. 10.3334/ORNLDAAC/1907 (ORNL DAAC, 2021).

de Lima RAF, et al. Making forest data fair and open. Nat. Ecol. Evol. 2022;6:656–658. doi: 10.1038/s41559-022-01738-7. PubMed DOI

Liang J, Gamarra JGP. The importance of sharing global forest data in a world of crises. Sci. Data. 2020;7:424. doi: 10.1038/s41597-020-00766-x. PubMed DOI PMC

Staver AC, Archibald S, Levin SA. The global extent and determinants of savanna and forest as alternative biome states. Science. 2011;334:230–232. doi: 10.1126/science.1210465. PubMed DOI

McRoberts RE, et al. Local validation of global biomass maps. Int. J. Appl. Earth Obs. Geoinf. 2019;83:101931.

Austin KG, et al. The economic costs of planting, preserving, and managing the world’s forests to mitigate climate change. Nat. Commun. 2020;11:5946. doi: 10.1038/s41467-020-19578-z. PubMed DOI PMC

Cook-Patton SC, et al. Mapping carbon accumulation potential from global natural forest regrowth. Nature. 2020;585:545–550. doi: 10.1038/s41586-020-2686-x. PubMed DOI

Aleixo I, et al. Amazonian rainforest tree mortality driven by climate and functional traits. Nat. Clim. Change. 2019;9:384–388. doi: 10.1038/s41558-019-0458-0. DOI

Pellegrini AFA, et al. Fire frequency drives decadal changes in soil carbon and nitrogen and ecosystem productivity. Nature. 2018;553:194–198. doi: 10.1038/nature24668. PubMed DOI

Zhu Z, et al. Greening of the Earth and its drivers. Nat. Clim. Change. 2016;6:791–795. doi: 10.1038/nclimate3004. DOI

Wiebel, H., Moss, K. & Neagle, E. From Pledges to Action: What’s Next for COP26 Corporate Commitments. World Resources Institutehttps://www.wri.org/insights/pledges-action-whats-next-cop26-corporate-commitments?auHash=tpyB7H-JVwZWeGWd-_lP2K9Xs0ZcTfHmlcAFGllQ5DM (2021).

26th UN Climate Change Conference of the Parties (COP26). Financial Sector Commitment Letter on Eliminating Commodity-driven Deforestation (United Nations Climate Change, 2021).

Veryard R, et al. Positive effects of tree diversity on tropical forest restoration in a field-scale experiment. Sci. Adv. 2023;9:eadf0938. doi: 10.1126/sciadv.adf0938. PubMed DOI PMC

Philipson CD, et al. Active restoration accelerates the carbon recovery of human-modified tropical forests. Science. 2020;369:838–841. doi: 10.1126/science.aay4490. PubMed DOI

Lambin EF, Meyfroidt P. Global land use change, economic globalization, and the looming land scarcity. Proc. Natl Acad. Sci. USA. 2011;108:3465–3472. doi: 10.1073/pnas.1100480108. PubMed DOI PMC

Crowther TW, et al. Restor: transparency and connectivity for the global environmental movement. One Earth. 2022;5:476–481. doi: 10.1016/j.oneear.2022.04.003. DOI

Roy, J., Mooney, H. A. & Saugier, B. Terrestrial Global Productivity (Elsevier, 2001).

Siegenthaler U, Sarmiento JL. Atmospheric carbon dioxide and the ocean. Nature. 1993;365:119–125. doi: 10.1038/365119a0. DOI

Bazilevich NI, Rodin LY, Rozov NN. Geographical aspects of biological productivity. Sov. Geogr. 1971;12:293–317. doi: 10.1080/00385417.1971.10770248. DOI

Olson, J. S., Watts, J. A. & Allison, L. J. Carbon in Live Vegetation of Major World Ecosystems (Oak Ridge National Laboratory, 1983).

Ruesch, A. & Gibbs, H. K. New IPCC Tier-1 global biomass carbon map for the year 2000 (U.S. Department of Energy, 2008).

Ajtay, G. L. Terrestrial primary production and phytomass. Glob. Carbon cycle 129–181 (1979).

Food and Agriculture Organization of the United Nations (FAO). Global Forest Resources Assessment 2010 (FAO, 2010).

Adams JM, Faure H, Faure-Denard L, McGlade JM, Woodward FI. Increases in terrestrial carbon storage from the Last Glacial Maximum to the present. Nature. 1990;348:711–714. doi: 10.1038/348711a0. DOI

West PC, et al. Trading carbon for food: global comparison of carbon stocks vs. crop yields on agricultural land. Proc. Natl Acad. Sci. 2010;107:19645–19648. doi: 10.1073/pnas.1011078107. PubMed DOI PMC

Kaplan JO, et al. Holocene carbon emissions as a result of anthropogenic land cover change. Holocene. 2011;21:775–791. doi: 10.1177/0959683610386983. DOI

Shevliakova E, et al. Carbon cycling under 300 years of land use change: importance of the secondary vegetation sink. Glob. Biogeochem. Cycles. 2009;23:GB2022. doi: 10.1029/2007GB003176. DOI

Hurtt GC, et al. Harmonization of land-use scenarios for the period 1500–2100: 600 years of global gridded annual land-use transitions, wood harvest, and resulting secondary lands. Clim. Change. 2011;109:117–161. doi: 10.1007/s10584-011-0153-2. DOI

Krinner G, et al. A dynamic global vegetation model for studies of the coupled atmosphere‐biosphere system. Glob. Biogeochem. Cycles. 2005;19:GB1015. doi: 10.1029/2003GB002199. DOI

Sitch S, et al. Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Glob. Change Biol. 2003;9:161–185. doi: 10.1046/j.1365-2486.2003.00569.x. DOI

Prentice IC, Harrison SP, Bartlein PJ. Global vegetation and terrestrial carbon cycle changes after the last ice age. New Phytol. 2011;189:988–998. doi: 10.1111/j.1469-8137.2010.03620.x. PubMed DOI

Leys C, Ley C, Klein O, Bernard P, Licata L. Detecting outliers: do not use standard deviation around the mean, use absolute deviation around the median. J. Exp. Soc. Psychol. 2013;49:764–766. doi: 10.1016/j.jesp.2013.03.013. DOI

Henry M, et al. GlobAllomeTree: international platform for tree allometric equations to support volume, biomass and carbon assessment. Iforest. 2013;6:326–330. doi: 10.3832/ifor0901-006. DOI

Jenkins JC, Chojnacky DC, Heath LS, Birdsey RA. National-scale biomass estimators for United States tree species. For. Sci. 2003;49:12–35.

Olson DM, et al. Terrestrial ecoregions of the world: a new map of life on Earth: a new global map of terrestrial ecoregions provides an innovative tool for conserving biodiversity. Bioscience. 2001;51:933–938. doi: 10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2. DOI

Chave J, et al. Improved allometric models to estimate the aboveground biomass of tropical trees. Glob. Change Biol. 2014;20:3177–3190. doi: 10.1111/gcb.12629. PubMed DOI

Réjou-Méchain M, Tanguy A, Piponiot C, Chave J, Hérault B. BIOMASS: an R package for estimating above-ground biomass and its uncertainty in tropical forests. Methods Ecol. Evol. 2017;8:1163–1167. doi: 10.1111/2041-210X.12753. DOI

Chave J, et al. Towards a worldwide wood economics spectrum. Ecol. Lett. 2009;12:351–366. doi: 10.1111/j.1461-0248.2009.01285.x. PubMed DOI

Falster DS, et al. BAAD: a Biomass And Allometry Database for woody plants. Ecology. 2015;96:1445. doi: 10.1890/14-1889.1. DOI

Boyle B, et al. The Taxonomic Name Resolution Service: an online tool for automated standardization of plant names. BMC Bioinform. 2013;14:16. doi: 10.1186/1471-2105-14-16. PubMed DOI PMC

Martin AR, Doraisami M, Thomas SC. Global patterns in wood carbon concentration across the world’s trees and forests. Nat. Geosci. 2018;11:915–920. doi: 10.1038/s41561-018-0246-x. DOI

Keith H, Mackey BG, Lindenmayer DB. Re-evaluation of forest biomass carbon stocks and lessons from the world’s most carbon-dense forests. Proc. Natl Acad. Sci. 2009;106:11635–11640. doi: 10.1073/pnas.0901970106. PubMed DOI PMC

Li S, et al. Deep learning enables image-based tree counting, crown segmentation, and height prediction at national scale. PNAS Nexus. 2023;2:pgad076. doi: 10.1093/pnasnexus/pgad076. PubMed DOI PMC

Karger DN, et al. Climatologies at high resolution for the earth’s land surface areas. Sci. Data. 2017;4:170122. doi: 10.1038/sdata.2017.122. PubMed DOI PMC

Amatulli G, et al. A suite of global, cross-scale topographic variables for environmental and biodiversity modeling. Sci. Data. 2018;5:180040. doi: 10.1038/sdata.2018.40. PubMed DOI PMC

Wilson AM, Jetz W. Remotely sensed high-resolution global cloud dynamics for predicting ecosystem and biodiversity distributions. PLoS Biol. 2016;14:e1002415. doi: 10.1371/journal.pbio.1002415. PubMed DOI PMC

Fan Y, Li H, Miguez-Macho G. Global patterns of groundwater table depth. Science. 2013;339:940–943. doi: 10.1126/science.1229881. PubMed DOI

Fick SE, Hijmans RJ. WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas. Int. J. Climatol. 2017;37:4302–4315. doi: 10.1002/joc.5086. DOI

Shangguan W, Hengl T, de Jesus JM, Yuan H, Dai Y. Mapping the global depth to bedrock for land surface modeling. J. Adv. Model. Earth Syst. 2017;9:65–88. doi: 10.1002/2016MS000686. DOI

Trabucco, A. & Zomer, R. J. Global Soil Water Balance Geospatial Database. (CGIAR Consortium for Spatial Information, 2010); https://csidotinfo.wordpress.com/data/global-high-resolution-soil-water-balance/.

Zomer RJ, Trabucco A, Bossio DA, Verchot LV. Climate change mitigation: a spatial analysis of global land suitability for clean development mechanism afforestation and reforestation. Agric. Ecosyst. Environ. 2008;126:67–80. doi: 10.1016/j.agee.2008.01.014. DOI

Tuanmu M-N, Jetz W. A global 1-km consensus land-cover product for biodiversity and ecosystem modelling. Glob. Ecol. Biogeogr. 2014;23:1031–1045. doi: 10.1111/geb.12182. DOI

Klein Goldewijk K, Beusen A, Janssen P. Long-term dynamic modeling of global population and built-up area in a spatially explicit way: HYDE 3.1. Holocene. 2010;20:565–573. doi: 10.1177/0959683609356587. DOI

Klein Goldewijk K, Beusen A, Van Drecht G, De Vos M. The HYDE 3.1 spatially explicit database of human-induced global land-use change over the past 12,000 years. Glob. Ecol. Biogeogr. 2011;20:73–86. doi: 10.1111/j.1466-8238.2010.00587.x. DOI

Kennedy CM, Oakleaf JR, Theobald DM, Baruch-Mordo S, Kiesecker J. Managing the middle: a shift in conservation priorities based on the global human modification gradient. Glob. Change Biol. 2019;25:811–826. doi: 10.1111/gcb.14549. PubMed DOI

United Nations Environment Programme World Conservation Monitoring Centre (UNEP-WCMC), International Union for Conservation of Nature (IUCN) World Commission on Protected Areas (WCPA). Protected Planet: the World Database on Protected Areas (WDPA). https://www.protectedplanet.net/en (2011).

United Nations Environment Programme World Conservation Monitoring Centre (UNEP-WCMC), International Union for Conservation of Nature (IUCN) World Commission on Protected Areas (WCPA). Protected Planet: the World Database on Protected Areas (WDPA) https://www.protectedplanet.net/en (2018).

Jones KR, et al. One-third of global protected land is under intense human pressure. Science. 2018;360:788–791. doi: 10.1126/science.aap9565. PubMed DOI

Hansen MC, et al. High-resolution global maps of 21st-century forest cover change. Science. 2013;342:850–853. doi: 10.1126/science.1244693. PubMed DOI

Gorelick N, et al. Google Earth Engine: planetary-scale geospatial analysis for everyone. Remote Sens. Environ. 2017;202:18–27. doi: 10.1016/j.rse.2017.06.031. DOI

Strobl C, Boulesteix AL, Kneib T, Augustin T, Zeileis A. Conditional variable importance for random forests. BMC Bioinform. 2008;9:307. doi: 10.1186/1471-2105-9-307. PubMed DOI PMC

Ploton P, et al. Spatial validation reveals poor predictive performance of large-scale ecological mapping models. Nat. Commun. 2020;11:4540. doi: 10.1038/s41467-020-18321-y. PubMed DOI PMC

Sagi O, Rokach L. Ensemble learning: a survey. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 2018;8:e1249. doi: 10.1002/widm.1249. DOI

van den Hoogen J, et al. Soil nematode abundance and functional group composition at a global scale. Nature. 2019;572:194–198. doi: 10.1038/s41586-019-1418-6. PubMed DOI

Santoro, M. & Cartus, O. ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2010, 2017 and 2018, v3. NERC EDS Centre for Environmental Data Analysis. 10.5285/5f331c418e9f4935b8eb1b836f8a91b8 (2021).

Santoro, M. GlobBiomass—global datasets of forest biomass. PANGAEA. 10.1594/PANGAEA.894711 (2018).

Bouvet A, et al. An above-ground biomass map of African savannahs and woodlands at 25 m resolution derived from ALOS PALSAR. Remote Sens. Environ. 2018;206:156–173. doi: 10.1016/j.rse.2017.12.030. DOI

Grace J, Jose JS, Meir P, Miranda HS, Montes RA. Productivity and carbon fluxes of tropical savannas. J. Biogeogr. 2006;33:387–400. doi: 10.1111/j.1365-2699.2005.01448.x. DOI

Sandvik, B. World Borders Dataset. Thematic Mapping API. https://thematicmapping.org/downloads/world_borders.php (2009).

Tuanmu M-N, Jetz W. A global, remote sensing-based characterization of terrestrial habitat heterogeneity for biodiversity and ecosystem modelling. Glob. Ecol. Biogeogr. 2015;24:1329–1339. doi: 10.1111/geb.12365. DOI

R Core Team. R: A Language and Environment for Statistical Computing. http://www.R-project.org/ (R Foundation for Statistical Computing, 2020).

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...