Mapped aboveground carbon stocks to advance forest conservation and recovery in Malaysian Borneo
Mapped aboveground carbon stocks to advance forest conservation and recovery in Malaysian Borneo
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DOI：
10.1016/j.biocon.2017.10.020
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发表时间：
2018-01-01
影响因子：
5.9
通讯作者：
Coomes, David A.
中科院分区：
文献类型：
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作者：
Asner, Gregory P.;Brodrick, Philip G.;Coomes, David A.
快速发展的热带地区的森林碳储量具有高度的异质性，这对制定明确的空间保护行动的努力提出了挑战。除了基于实地的生物多样性信息外，碳储量测绘还可以大大加快被认为具有高度保护价值的森林的识别、保护和恢复(丙型肝炎病毒)。我们将机载光探测和测距(LiDAR)与卫星成像和其他地理空间数据相结合，以30米(0.09公顷)的分辨率绘制了整个马来西亚婆罗洲沙巴州的森林地上碳密度图。我们使用测绘结果来评估碳储量如何在空间上基于森林使用、森林砍伐、再生和当前的森林保护而变化。我们发现，未砍伐的完好森林的地上碳密度平均超过200 mg C ha(-1)，峰值为500 mg C ha(-1)。关键的是，超过40%的碳储量最高的森林是在指定的最高保护区域之外发现的。以前砍伐的森林抑制了60-140毫克碳公顷(-1)的碳密度，但仍然很高。我们绘制的森林碳储量分布图表明，如果允许以前砍伐的森林在未来恢复，沙巴州的地上碳储量可能会翻一番。我们的结果指导了识别丙型肝炎病毒森林和确定婆罗洲森林保护新区域的持续努力。
Forest carbon stocks in rapidly developing tropical regions are highly heterogeneous, which challenges efforts to develop spatially-explicit conservation actions. In addition to field-based biodiversity information, mapping of carbon stocks can greatly accelerate the identification, protection and recovery of forests deemed to be of high conservation value (HCV). We combined airborne Light Detection and Ranging (LiDAR) with satellite imaging and other geospatial data to map forest aboveground carbon density at 30 m (0.09 ha) resolution throughout the Malaysian state of Sabah on the island of Borneo. We used the mapping results to assess how carbon stocks vary spatially based on forest use, deforestation, regrowth, and current forest protections. We found that unlogged, intact forests contain aboveground carbon densities averaging over 200 Mg C ha(-1), with peaks of 500 Mg C ha(-1). Critically, more than 40% of the highest carbon stock forests were discovered outside of areas designated for maximum protection. Previously logged forests have suppressed, but still high, carbon densities of 60-140 Mg C ha(-1). Our mapped distributions of forest carbon stock suggest that the state of Sabah could double its total aboveground carbon storage if previously logged forests are allowed to recover in the future. Our results guide ongoing efforts to identify HCV forests and to determine new areas for forest protection in Borneo.