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首页> 外文期刊>Proceedings of the National Academy of Sciences of the United States of America >High-resolution forest carbon stocks and emissions in the Amazon
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High-resolution forest carbon stocks and emissions in the Amazon

机译:亚马逊地区的高分辨率森林碳储量和排放量

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Efforts to mitigate climate change through the Reduced Emissions from Deforestation and Degradation (REDD) depend on mapping and monitoring of tropical forest carbon stocks and emissions over large geographic areas. With a new integrated use of satellite imaging, airborne light detection and ranging, and field plots, we mapped aboveground carbon stocks and emissions at 0.1-ha resolution over 4.3 million ha of the Peruvian Amazon, an area twice that of all forests in Costa Rica, to reveal the determinants of forest carbon density and to demonstrate the feasibility of mapping carbon emissions for REDD. We discovered previously unknown variation in carbon storage at multiple scales based on geologic substrate and forest type. From 1999 to 2009, emissions from land use totaled 1.1% of the standing carbon throughout the region. Forest degradation, such as from selective logging, increased regional carbon emissions by 47% over deforestation alone, and secondary regrowth provided an 18% offset against total gross emissions. Very high-resolution monitoring reduces uncertainty in carbon emissions for REDD programs while uncovering fundamental environmental controls on forest carbon storage and their interactions with land-use change.
机译:通过减少森林砍伐和退化造成的排放来减轻气候变化的努力取决于对大面积地理区域的热带森林碳储量和排放进行测绘和监测。通过对卫星影像,机载光检测和测距以及野外测绘的新整合使用,我们以0.1公顷的分辨率绘制了秘鲁亚马逊地区超过430万公顷的地上碳储量和排放量,这是哥斯达黎加所有森林面积的两倍,以揭示森林碳密度的决定因素,并证明为REDD绘制碳排放量的可行性。我们发现了以前未知的,基于地质基质和森林类型的碳储量在多个尺度上的变化。从1999年到2009年,整个区域的土地使用排放总计占固定碳的1.1%。森林的退化,例如由于选择性砍伐造成的退化,仅毁林一项就使区域碳排放量增加了47%,而次生则使总碳排放量减少了18%。非常高分辨率的监测减少了REDD计划的碳排放不确定性,同时揭示了森林碳存储及其与土地利用变化的相互作用的基本环境控制。

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