Mapping carbon accumulation potential from global natural forest regrowth

被引:392
作者
Cook-Patton, Susan C. [1 ,2 ]
Leavitt, Sara M. [1 ]
Gibbs, David [3 ]
Harris, Nancy L. [3 ]
Lister, Kristine [3 ]
Anderson-Teixeira, Kristina J. [4 ,5 ]
Briggs, Russell D. [6 ]
Chazdon, Robin L. [3 ,7 ,8 ]
Crowther, Thomas W. [9 ]
Ellis, Peter W. [1 ]
Griscom, Heather P. [10 ]
Herrmann, Valentine [4 ]
Holl, Karen D. [11 ]
Houghton, Richard A. [12 ]
Larrosa, Cecilia [13 ]
Lomax, Guy [14 ]
Lucas, Richard [15 ]
Madsen, Palle [16 ]
Malhi, Yadvinder [17 ]
Paquette, Alain [18 ]
Parker, John D. [2 ]
Paul, Keryn [19 ]
Routh, Devin [9 ]
Roxburgh, Stephen [19 ]
Saatchi, Sassan [20 ]
van den Hoogen, Johan [9 ]
Walker, Wayne S. [12 ]
Wheeler, Charlotte E. [21 ]
Wood, Stephen A. [22 ]
Xu, Liang [20 ]
Griscom, Bronson W. [23 ]
机构
[1] Nature Conservancy, 1815 N Lynn St, Arlington, VA 22203 USA
[2] Smithsonian Environm Res Ctr, POB 28, Edgewater, MD 21037 USA
[3] World Resources Inst, Washington, DC 20006 USA
[4] Smithsonian Conservat Biol Inst, Front Royal, VA USA
[5] Smithsonian Trop Res Inst, Panama City, Panama
[6] SUNY Syracuse, Coll Environm Sci & Forestry, Syracuse, NY 13210 USA
[7] Univ Connecticut, Storrs, CT USA
[8] Univ Sunshine Coast, Sippy Downs, Qld, Australia
[9] Swiss Fed Inst Technol, Zurich, Switzerland
[10] James Madison Univ, Harrisonburg, VA 22807 USA
[11] Univ Calif Santa Cruz, Santa Cruz, CA 95064 USA
[12] Woods Hole Res Ctr, Falmouth, MA USA
[13] Univ Oxford, Dept Zool, Oxford, England
[14] Univ Exeter, Global Syst Inst, Exeter, Devon, England
[15] Aberystwyth Univ, Aberystwyth, Dyfed, Wales
[16] InNovaSilva ApS, Vejle, Denmark
[17] Univ Oxford, Environm Change Inst, Sch Geog & Environm, Oxford, England
[18] Univ Quebec Montreal, Ctr Forest Res, Montreal, PQ, Canada
[19] CSIRO Land & Water, Canberra, ACT, Australia
[20] NASA, Jet Prop Lab, Pasadena, CA USA
[21] Univ Edinburgh, Sch Geosci, Edinburgh, Midlothian, Scotland
[22] Yale Univ, New Haven, CT USA
[23] Conservat Int, Arlington, VA USA
关键词
RESTORATION; REGENERATION; PLANTATIONS; SCIENCE; STOCKS; LONG;
D O I
10.1038/s41586-020-2686-x
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
To constrain global warming, we must strongly curtail greenhouse gas emissions and capture excess atmospheric carbon dioxide(1,2). Regrowing natural forests is a prominent strategy for capturing additional carbon(3), but accurate assessments of its potential are limited by uncertainty and variability in carbon accumulation rates(2,3). To assess why and where rates differ, here we compile 13,112 georeferenced measurements of carbon accumulation. Climatic factors explain variation in rates better than land-use history, so we combine the field measurements with 66 environmental covariate layers to create a global, one-kilometre-resolution map of potential aboveground carbon accumulation rates for the first 30 years of natural forest regrowth. This map shows over 100-fold variation in rates across the globe, and indicates that default rates from the Intergovernmental Panel on Climate Change (IPCC)(4,5)may underestimate aboveground carbon accumulation rates by 32 per cent on average and do not capture eight-fold variation within ecozones. Conversely, we conclude that maximum climate mitigation potential from natural forest regrowth is 11 per cent lower than previously reported(3)owing to the use of overly high rates for the location of potential new forest. Although our data compilation includes more studies and sites than previous efforts, our results depend on data availability, which is concentrated in ten countries, and data quality, which varies across studies. However, the plots cover most of the environmental conditions across the areas for which we predicted carbon accumulation rates (except for northern Africa and northeast Asia). We therefore provide a robust and globally consistent tool for assessing natural forest regrowth as a climate mitigation strategy. A one-kilometre-resolution map of aboveground carbon accumulation rates of forest regrowth shows 100-fold variation across the globe, with rates 32% higher on average than IPCC estimates.
引用
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页码:545 / +
页数:20
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