Advertisement

The potential for global forest cover

The restoration of forested land at a global scale could help capture atmospheric carbon and mitigate climate change. Bastin et al. used direct measurements of forest cover to generate a model of forest restoration potential across the globe (see the Perspective by Chazdon and Brancalion). Their spatially explicit maps show how much additional tree cover could exist outside of existing forests and agricultural and urban land. Ecosystems could support an additional 0.9 billion hectares of continuous forest. This would represent a greater than 25% increase in forested area, including more than 200 gigatonnes of additional carbon at maturity.Such a change has the potential to store an equivalent of 25% of the current atmospheric carbon pool.
Science, this issue p. 76; see also p. 24

Abstract

The restoration of trees remains among the most effective strategies for climate change mitigation. We mapped the global potential tree coverage to show that 4.4 billion hectares of canopy cover could exist under the current climate. Excluding existing trees and agricultural and urban areas, we found that there is room for an extra 0.9 billion hectares of canopy cover, which could store 205 gigatonnes of carbon in areas that would naturally support woodlands and forests. This highlights global tree restoration as one of the most effective carbon drawdown solutions to date. However, climate change will alter this potential tree coverage. We estimate that if we cannot deviate from the current trajectory, the global potential canopy cover may shrink by ~223 million hectares by 2050, with the vast majority of losses occurring in the tropics. Our results highlight the opportunity of climate change mitigation through global tree restoration but also the urgent need for action.
Get full access to this article

View all available purchase options and get full access to this article.

Already a Subscriber?

Supplementary Material

Summary

Materials and Methods
Figs. S1 to S12
Tables S1 to S3
References (2229)
Data Files S1 and S2

Resources

File (aax0848-bastin-sm.pdf)
File (aax0848_bastin_sm_data-file-s1.csv)
File (aax0848_bastin_sm_data-file-s2.csv)

References and Notes

1
Intergovernmental Panel on Climate Change (IPCC), 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 (IPCC, 2018).
2
B. W. Griscom, J. Adams, P. W. Ellis, R. A. Houghton, G. Lomax, D. A. Miteva, W. H. Schlesinger, D. Shoch, J. V. Siikamäki, P. Smith, P. Woodbury, C. Zganjar, A. Blackman, J. Campari, R. T. Conant, C. Delgado, P. Elias, T. Gopalakrishna, M. R. Hamsik, M. Herrero, J. Kiesecker, E. Landis, L. Laestadius, S. M. Leavitt, S. Minnemeyer, S. Polasky, P. Potapov, F. E. Putz, J. Sanderman, M. Silvius, E. Wollenberg, J. Fargione, Natural climate solutions. Proc. Natl. Acad. Sci. U.S.A. 114, 11645–11650 (2017).
3
S. L. Lewis, C. E. Wheeler, E. T. A. Mitchard, A. Koch, Restoring natural forests is the best way to remove atmospheric carbon. Nature 568, 25–28 (2019).
4
United Nations Environment Programme (UNEP), The Bonn Challenge (2011).
5
UN Climate Summit, New York Declaration on Forests (2014).
6
P. Potapov, L. Laestadius, S. Minnemeyer, Global Map of Potential Forest Cover (World Resources Institute, 2011).
7
K.-H. Erb, T. Kastner, C. Plutzar, A. L. S. Bais, N. Carvalhais, T. Fetzel, S. Gingrich, H. Haberl, C. Lauk, M. Niedertscheider, J. Pongratz, M. Thurner, S. Luyssaert, Unexpectedly large impact of forest management and grazing on global vegetation biomass. Nature 553, 73–76 (2018).
8
A. Bey, A. Sánchez-Paus Díaz, D. Maniatis, G. Marchi, D. Mollicone, S. Ricci, J.-F. Bastin, R. Moore, S. Federici, M. Rezende, C. Patriarca, R. Turia, G. Gamoga, H. Abe, E. Kaidong, G. Miceli, Collect earth: Land use and land cover assessment through augmented visual interpretation. Remote Sens. 8, 807 (2016).
9
United Nations Educational, Scientific and Cultural Organization (UNESCO), The World Database on Protected Areas (UNESCO, 2011).
10
Materials and methods are available as supplementary materials.
11
K. R. Jones, O. Venter, R. A. Fuller, J. R. Allan, S. L. Maxwell, P. J. Negret, J. E. M. Watson, One-third of global protected land is under intense human pressure. Science 360, 788–791 (2018).
12
L. Breiman, Random forests. Mach. Learn. 45, 5–32 (2001).
13
J.-F. Bastin, N. Berrahmouni, A. Grainger, D. Maniatis, D. Mollicone, R. Moore, C. Patriarca, N. Picard, B. Sparrow, E. M. Abraham, K. Aloui, A. Atesoglu, F. Attore, Ç. Bassüllü, A. Bey, M. Garzuglia, L. G. García-Montero, N. Groot, G. Guerin, L. Laestadius, A. J. Lowe, B. Mamane, G. Marchi, P. Patterson, M. Rezende, S. Ricci, I. Salcedo, A. S.-P. Diaz, F. Stolle, V. Surappaeva, R. Castro, The extent of forest in dryland biomes. Science 356, 635–638 (2017).
14
Food and Agriculture Organization (FAO), Global Forest Resources Assessment 2020: Terms and Definitions (FAO, 2018).
15
M. C. Hansen, P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, S. V. Stehman, S. J. Goetz, T. R. Loveland, A. Kommareddy, A. Egorov, L. Chini, C. O. Justice, J. R. G. Townshend, High-resolution global maps of 21st-century forest cover change. Science 342, 850–853 (2013).
16
O. Arino et al., Global Land Cover Map for 2009 (GlobCover 2009) (European Space Agency, Université catholique de Louvain, PANGAEA, 2012).
17
S. Fritz, L. See, I. McCallum, L. You, A. Bun, E. Moltchanova, M. Duerauer, F. Albrecht, C. Schill, C. Perger, P. Havlik, A. Mosnier, P. Thornton, U. Wood-Sichra, M. Herrero, I. Becker-Reshef, C. Justice, M. Hansen, P. Gong, S. Abdel Aziz, A. Cipriani, R. Cumani, G. Cecchi, G. Conchedda, S. Ferreira, A. Gomez, M. Haffani, F. Kayitakire, J. Malanding, R. Mueller, T. Newby, A. Nonguierma, A. Olusegun, S. Ortner, D. R. Rajak, J. Rocha, D. Schepaschenko, M. Schepaschenko, A. Terekhov, A. Tiangwa, C. Vancutsem, E. Vintrou, W. Wenbin, M. van der Velde, A. Dunwoody, F. Kraxner, M. Obersteiner, Mapping global cropland and field size. Glob. Chang. Biol. 21, 1980–1992 (2015).
18
Y. Pan, R. A. Birdsey, J. Fang, R. Houghton, P. E. Kauppi, W. A. Kurz, O. L. Phillips, A. Shvidenko, S. L. Lewis, J. G. Canadell, P. Ciais, R. B. Jackson, S. W. Pacala, A. D. McGuire, S. Piao, A. Rautiainen, S. Sitch, D. Hayes, A large and persistent carbon sink in the world’s forests. Science 333, 988–993 (2011).
19
J. Grace, J. Jose, P. Meir, H. S. Miranda, R. A. Montes, Productivity and carbon fluxes of tropical savannas. J. Biogeogr. 33, 387–400 (2006).
20
X.-P. Song, M. C. Hansen, S. V. Stehman, P. V. Potapov, A. Tyukavina, E. F. Vermote, J. R. Townshend, Global land change from 1982 to 2016. Nature 560, 639–643 (2018).
21
U. Büntgen, P. J. Krusic, A. Piermattei, D. A. Coomes, J. Esper, V. S. Myglan, A. V. Kirdyanov, J. J. Camarero, A. Crivellaro, C. Körner, Limited capacity of tree growth to mitigate the global greenhouse effect under predicted warming. Nat. Commun. 10, 2171 (2019).
22
T. Hengl, J. Mendes de Jesus, G. B. M. Heuvelink, M. Ruiperez Gonzalez, M. Kilibarda, A. Blagotić, W. Shangguan, M. N. Wright, X. Geng, B. Bauer-Marschallinger, M. A. Guevara, R. Vargas, R. A. MacMillan, N. H. Batjes, J. G. B. Leenaars, E. Ribeiro, I. Wheeler, S. Mantel, B. Kempen, SoilGrids250m: Global gridded soil information based on machine learning. PLOS ONE 12, e0169748 (2017).
23
S. E. Fick, R. J. Hijmans, WorldClim 2: New 1-km spatial resolution climate surfaces for global land areas. Int. J. Climatol. 37, 4302–4315 (2017).
24
G. Piñeiro, S. Perelman, J. P. Guerschman, J. M. Paruelo, How to evaluate models: Observed vs. predicted or predicted vs. observed? Ecol. Modell. 216, 316–322 (2008).
25
K.-H. Erb, C. Lauk, T. Kastner, A. Mayer, M. C. Theurl, H. Haberl, Exploring the biophysical option space for feeding the world without deforestation. Nat. Commun. 7, 11382 (2016).
26
J. W. Hurrell, M. M. Holland, P. R. Gent, S. Ghan, J. E. Kay, P. J. Kushner, J.-F. Lamarque, W. G. Large, D. Lawrence, K. Lindsay, W. H. Lipscomb, M. C. Long, N. Mahowald, D. R. Marsh, R. B. Neale, P. Rasch, S. Vavrus, M. Vertenstein, D. Bader, W. D. Collins, J. J. Hack, J. Kiehl, S. Marshall, The Community Earth System Model: A framework for collaborative research. Bull. Am. Meteorol. Soc. 94, 1339–1360 (2013).
27
N. Bellouin, W. J. Collins, I. D. Culverwell, P. R. Halloran, S. C. Hardiman, T. J. Hinton, C. D. Jones, R. E. McDonald, A. J. McLaren, F. M. O'Connor, M. J. Roberts, J. M. Rodriguez, S. Woodward, M. J. Best, M. E. Brooks, A. R. Brown, N. Butchart, C. Dearden, S. H. Derbyshire, I. Dharssi, M. Doutriaux-Boucher, J. M. Edwards, P. D. Falloon, N. Gedney, L. J. Gray, H. T. Hewitt, M. Hobson, M. R. Huddleston, J. Hughes, S. Ineson, W. J. Ingram, P. M. James, T. C. Johns, C. E. Johnson, A. Jones, C. P. Jones, M. M. Joshi, A. B. Keen, S. Liddicoat, A. P. Lock, A. V. Maidens, J. C. Manners, S. F. Milton, J. G. L. Rae, J. K. Ridley, A. Sellar, C. A. Senior, I. J. Totterdell, A. Verhoef, P. L. Vidale, A. Wiltshire, The HadGEM2 family of Met Office Unified Model climate configurations. Geosci. Model Dev. 4, 723–757 (2011).
28
J. Ramirez Villegas, A. Jarvis, Downscaling global circulation model outputs: The delta method decision and policy analysis, Working Paper No. 1 (2010).
29
A. C. Staver, S. Archibald, S. A. Levin, The global extent and determinants of savanna and forest as alternative biome states. Science 334, 230–232 (2011).

Information & Authors

Information

Published In

Science
Volume 365 | Issue 6448
5 July 2019

Submission history

Received: 21 February 2019
Accepted: 21 May 2019
Published in print: 5 July 2019

Permissions

Request permissions for this article.

Acknowledgments

We warmly thank all the members of the Crowther lab team, not listed as coauthors of the study, for their incredible support. We also are very grateful to the Google Earth Outreach team for allowing us the storage expansion for our laboratory. Funding: This work was supported by grants to T.W.C. from DOB Ecology, Plant-for-the-Planet, and the German Federal Ministry for Economic Cooperation and Development. The data collection was partially supported by the International Climate Initiative of the Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety of Germany and FAO’s Action Against Desertification, funded by the European Union. Author contributions: J.-F.B. conceived the study. J.-F.B. and D.R. performed the analyses. J.-F.B., Y.F., C.G., D.M., M.R., D.R., C.M.Z., and T.W.C. wrote the manuscript. Competing interests: The authors declare that there are no competing interests. Data and materials availability: All data are available in the manuscript or the supplementary materials. The global tree cover potential map, corresponding to Fig. 2A, is accessible online for visualization at https://bastinjf_climate.users.earthengine.app/view/potential-tree-cover, the Earth engine script to produce the map is accessible online at https://code.earthengine.google.com/ee5cf5186b5ad0f659cc7a43054f072c, and all related layers are accessible online at www.crowtherlab.com or upon request to the corresponding author.

Authors

Affiliations

Crowther Lab, Department of Environmental Systems Science, Institute of Integrative Biology, ETH-Zürich, Zürich, Switzerland.
Yelena Finegold
Food and Agriculture Organization of the United Nations, Rome, Italy.
Department of Environmental Systems Science, Institute of Integrative Biology, ETH-Zürich, Zürich, Switzerland.
Centre de Coopération Internationale en la Recherche Agronomique pour le Développement (CIRAD), UR Forest and Societies, Montpellier, France.
Food and Agriculture Organization of the United Nations, Rome, Italy.
Food and Agriculture Organization of the United Nations, Rome, Italy.
Devin Routh
Crowther Lab, Department of Environmental Systems Science, Institute of Integrative Biology, ETH-Zürich, Zürich, Switzerland.
Crowther Lab, Department of Environmental Systems Science, Institute of Integrative Biology, ETH-Zürich, Zürich, Switzerland.
Crowther Lab, Department of Environmental Systems Science, Institute of Integrative Biology, ETH-Zürich, Zürich, Switzerland.

Funding Information

DOB Ecology:

Notes

*Corresponding author. Email: [email protected]

Metrics & Citations

Metrics

Article Usage
Altmetrics

Citations

Export citation

Select the format you want to export the citation of this publication.

Cited by
  1. Microbial communities are associated with indicators of soil surface condition across a continental gradient, Geoderma, 405, (115439), (2022).https://doi.org/10.1016/j.geoderma.2021.115439
    Crossref
  2. Urban Greening and Geo-environmental Safety, CIGOS 2021, Emerging Technologies and Applications for Green Infrastructure, (1467-1474), (2022).https://doi.org/10.1007/978-981-16-7160-9_148
    Crossref
  3. Reforestation reversals and forest transitions, Land Use Policy, 112, (105800), (2022).https://doi.org/10.1016/j.landusepol.2021.105800
    Crossref
  4. Tracking, targeting, and conserving soil biodiversity, Science, 371, 6526, (239-241), (2021)./doi/10.1126/science.abd7926
    Abstract
  5. Natural climate solutions for Canada, Science Advances, 7, 23, (2021)./doi/10.1126/sciadv.abd6034
    Abstract
  6. Species-specific responses to restoration interventions in a Tamaulipan thornforest, Forest Ecology and Management, 491, (119154), (2021).https://doi.org/10.1016/j.foreco.2021.119154
    Crossref
  7. Impact of grassland afforestation with contrasting tree species on soil phosphorus fractions and alkaline phosphatase gene communities, Soil Biology and Biochemistry, 159, (108274), (2021).https://doi.org/10.1016/j.soilbio.2021.108274
    Crossref
  8. Getting the message right on nature‐based solutions to climate change, Global Change Biology, 27, 8, (1518-1546), (2021).https://doi.org/10.1111/gcb.15513
    Crossref
  9. Forest microclimates and climate change: Importance, drivers and future research agenda, Global Change Biology, 27, 11, (2279-2297), (2021).https://doi.org/10.1111/gcb.15569
    Crossref
  10. Dynamic global monitoring needed to use restoration of forest cover as a climate solution, Nature Climate Change, 11, 5, (366-368), (2021).https://doi.org/10.1038/s41558-021-01022-9
    Crossref
  11. See more
Loading...

View Options

Get Access

Log in to view the full text

AAAS Log in

AAAS login provides access to Science for AAAS members, and access to other journals in the Science family to users who have purchased individual subscriptions.

Log in via OpenAthens.
Log in via Shibboleth.
More options

Register for free to read this article

As a service to the community, this article is available for free. Login or register for free to read this article.

Purchase this issue in print

Buy a single issue of Science for just $15 USD.

View options

PDF format

Download this article as a PDF file

Download PDF

Media

Figures

Multimedia

Tables

Share

Share

Share article link

Share on social media

(0)eLetters

eLetters is an online forum for ongoing peer review. Submission of eLetters are open to all. eLetters are not edited, proofread, or indexed. Please read our Terms of Service before submitting your own eLetter.

Log In to Submit a Response

No eLetters have been published for this article yet.