科技报告详细信息
Quantifying Long-Term Changes in Carbon Stocks and Forest Structure from Amazon Forest Degradation
Rappaport, Danielle I ; Morton, Douglas C ; Longo, Marcos ; Keller, Michael ; Dubayah, Ralph
关键词: AIRBORNE EQUIPMENT;    AMAZON REGION (SOUTH AMERICA);    BIOLOGICAL DIVERSITY;    BIOMASS;    CARBON CYCLE;    DEFORESTATION;    FOREST FIRES;    HABITATS;    LANDSAT SATELLITES;    OPTICAL RADAR;    SATELLITE IMAGERY;    TROPICAL REGIONS;   
RP-ID  :  GSFC-E-DAA-TN66782
学科分类:地球科学(综合)
美国|英语
来源: NASA Technical Reports Server
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【 摘 要 】

Despite sustained declines in Amazon deforestation, forest degradation from logging and firecontinues to threaten carbon stocks, habitat, and biodiversity in frontier forests along the Amazon arcof deforestation. Limited data on the magnitude of carbon losses and rates of carbon recoveryfollowing forest degradation have hindered carbon accounting efforts and contributed to incompletenational reporting to reduce emissions from deforestation and forest degradation (REDD+). Wecombined annual time series of Landsat imagery and high-density airborne lidar data to characterizethe variability, magnitude, and persistence of Amazon forest degradation impacts on abovegroundcarbon density (ACD) and canopy structure. On average, degraded forests contained 45.1% of thecarbon stocks in intact forests, and differences persisted even after 15 years of regrowth. Incomparison to logging, understory fires resulted in the largest and longest-lasting differences in ACD.Heterogeneity in burned forest structure varied by fire severity and frequency. Forests with a historyof one, two, and three or more fires retained only 54.4%, 25.2%, and 7.6% of intact ACD,respectively, when measured after a year of regrowth. Unlike the additive impact of successive fires,selective logging before burning did not explain additional variability in modeled ACD loss andrecovery of burned forests. Airborne lidar also provides quantitative measures of habitat structure thatcan aid the estimation of co-benefits of avoided degradation. Notably, forest carbon stocks recoveredfaster than attributes of canopy structure that are critical for biodiversity in tropical forests, includingthe abundance of tall trees. We provide the first comprehensive look-up table of emissions factors forspecific degradation pathways at standard reporting intervals in the Amazon. Estimated carbon lossand recovery trajectories provide an important foundation for assessing the long-term contributionsfrom forest degradation to regional carbon cycling and advance our understanding of the currentstate of frontier forests.

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