Degradation in carbon stocks near tropical forest edges

被引:148
作者
Chaplin-Kramer, Rebecca [1 ]
Ramler, Ivan [2 ]
Sharp, Richard [1 ]
Haddad, Nick M. [3 ]
Gerber, James S. [4 ]
West, Paul C. [4 ]
Mandle, Lisa [1 ]
Engstrom, Peder [4 ]
Baccini, Alessandro [5 ]
Sim, Sarah [6 ]
Mueller, Carina [6 ]
King, Henry [6 ]
机构
[1] Stanford Univ, Woods Inst Environm, Nat Capital Project, Stanford, CA 94305 USA
[2] St Lawrence Univ, Dept Math Comp Sci & Stat, Canton, NY 13617 USA
[3] N Carolina State Univ, David Clark Labs, Dept Appl Ecol, Raleigh, NC 27695 USA
[4] Univ Minnesota, Inst Environm IonE, St Paul, MN 55108 USA
[5] Woods Hole Res Ctr, Falmouth, MA 02540 USA
[6] Unilever R&D, Safety & Environm Assurance Ctr, Sharnbrook MK44 1LQ, Beds, England
基金
美国国家科学基金会;
关键词
FRAGMENTATION; EMISSIONS; BRAZIL; DEFORESTATION; RECRUITMENT; DENSITY; IMPACT;
D O I
10.1038/ncomms10158
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
Carbon stock estimates based on land cover type are critical for informing climate change assessment and landscape management, but field and theoretical evidence indicates that forest fragmentation reduces the amount of carbon stored at forest edges. Here, using remotely sensed pantropical biomass and land cover data sets, we estimate that biomass within the first 500 m of the forest edge is on average 25% lower than in forest interiors and that reductions of 10% extend to 1.5 km from the forest edge. These findings suggest that IPCC Tier 1 methods overestimate carbon stocks in tropical forests by nearly 10%. Proper accounting for degradation at forest edges will inform better landscape and forest management and policies, as well as the assessment of carbon stocks at landscape and national levels.
引用
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页数:6
相关论文
共 51 条
[1]  
[Anonymous], FOREST CARBON EDGE E
[2]  
[Anonymous], PYGEOPROCESSING PYPI
[3]  
[Anonymous], GTOPO30 COLL GLOB 30
[4]  
[Anonymous], UNEP DEWA GRID EUR C
[5]  
[Anonymous], DISTANCE FOREST EDGE
[6]  
[Anonymous], ENV FOOTPR PIL GUID
[7]  
[Anonymous], CARBON DENSITY PANTR
[8]  
[Anonymous], INPUT DATA FOREST CA
[9]  
[Anonymous], USING FORTRAN CODE A
[10]  
[Anonymous], PAS2050 BRIT STAND I