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Accounting for density reduction and structural loss in standing dead trees: Implications for forest biomass and carbon stock estimates in the United States

机译:解释死树的密度降低和结构损失:美国森林生物量和碳储量估算的含义

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Background Standing dead trees are one component of forest ecosystem dead wood carbon (C) pools, whose national stock is estimated by the U.S. as required by the United Nations Framework Convention on Climate Change. Historically, standing dead tree C has been estimated as a function of live tree growing stock volume in the U.S.'s National Greenhouse Gas Inventory. Initiated in 1998, the USDA Forest Service's Forest Inventory and Analysis program (responsible for compiling the Nation's forest C estimates) began consistent nationwide sampling of standing dead trees, which may now supplant previous purely model-based approaches to standing dead biomass and C stock estimation. A substantial hurdle to estimating standing dead tree biomass and C attributes is that traditional estimation procedures are based on merchantability paradigms that may not reflect density reductions or structural loss due to decomposition common in standing dead trees. The goal of this study was to incorporate standing dead tree adjustments into the current estimation procedures and assess how biomass and C stocks change at multiple spatial scales. Results Accounting for decay and structural loss in standing dead trees significantly decreased tree- and plot-level C stock estimates (and subsequent C stocks) by decay class and tree component. At a regional scale, incorporating adjustment factors decreased standing dead quaking aspen biomass estimates by almost 50 percent in the Lake States and Douglas-fir estimates by more than 36 percent in the Pacific Northwest. Conclusions Substantial overestimates of standing dead tree biomass and C stocks occur when one does not account for density reductions or structural loss. Forest inventory estimation procedures that are descended from merchantability standards may need to be revised toward a more holistic approach to determining standing dead tree biomass and C attributes (i.e., attributes of tree biomass outside of sawlog portions). Incorporating density reductions and structural loss adjustments reduces uncertainty associated with standing dead tree biomass and C while improving consistency with field methods and documentation.
机译:背景技术死木是森林生态系统死木碳池的一个组成部分,死木碳库由美国根据《联合国气候变化框架公约》的要求进行估算。历史上,在美国国家温室气体清单中,估计死树C是活树生长存量的函数。美国农业部森林服务局的森林清单和分析计划(负责编制国家森林碳估算值)始于1998年,开始在全国范围内对枯死树木进行一致的抽样,现在可能会取代以前基于模型的静止死生物量和C储量估计的纯方法。 。估计死树生物量和碳属性的主要障碍是传统的估计程序基于适销性范式,这些范式可能无法反映由于死树常见的分解而导致的密度降低或结构损失。这项研究的目标是将死树调整纳入当前的估算程序,并评估生物量和碳储量如何在多个空间尺度上变化。结果考虑到枯死树中的腐烂和结构损失,按腐烂类别和树木组成部分,显着降低了树木和样地的C储量估计值(以及随后的C储量)。在区域范围内,考虑到调整因素,在湖州,静息白杨生物量估计减少了近50%,在太平洋西北部,道格拉斯冷杉的估计减少了36%以上。结论当没有考虑密度降低或结构损失时,常备的死树生物量和碳储量就会大大高估。源自适销性标准的森林清单估算程序可能需要修改为更全面的方法,以确定死树生物量和碳属性(即锯木部分以外的树木生物量属性)。结合密度降低和结构损失调整可减少与死树生物量和碳相关的不确定性,同时提高与现场方法和文档的一致性。

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