USDA Forest Service, Northern Research Station, St, Paul, MN, USA.
Carbon Balance Manag. 2011 Nov 24;6(1):14. doi: 10.1186/1750-0680-6-14.
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.
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.
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.
枯立木是森林生态系统枯木碳(C)储量的一个组成部分,美国根据《联合国气候变化框架公约》的要求对其国家存量进行了估计。历史上,美国国家温室气体清单中一直根据活立木蓄积量来估计枯立木 C。美国农业部林务局的森林清查和分析计划(负责编制国家森林 C 估计数)于 1998 年启动,开始对全国范围内的枯立木进行一致的抽样调查,这可能取代以前纯粹基于模型的方法来估计枯立木生物量和 C 储量。估计枯立木生物量和 C 属性的一个主要障碍是,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分解而导致的密度降低或结构损失,而这些情况在枯立木中很常见。本研究的目的是将枯立木调整纳入当前的估计程序,并评估在多个空间尺度上生物量和 C 储量的变化情况。
考虑到枯立木的腐朽和结构损失,按腐朽等级和树木组成部分,枯立木树木和林分的 C 储量(以及随后的 C 储量)估计值显著降低。在区域尺度上,纳入调整因子后,在五大湖各州,枯立木颤杨的生物量估计值减少了近 50%,在太平洋西北地区,枯立木花旗松的估计值减少了 36%以上。
如果不考虑密度降低或结构损失,枯立木生物量和 C 储量会出现严重高估。从适销性标准发展而来的森林清查估计程序可能需要修订,以更全面的方法来确定枯立木的生物量和 C 属性(即,超出锯材部分的树木生物量属性)。纳入密度降低和结构损失调整可以减少与枯立木生物量和 C 相关的不确定性,同时提高与野外方法和记录的一致性。