USDA Forest Service, Northern Research Station, St. Paul, Minnesota, United States of America.
PLoS One. 2013;8(3):e59949. doi: 10.1371/journal.pone.0059949. Epub 2013 Mar 27.
The inventory and monitoring of coarse woody debris (CWD) carbon (C) stocks is an essential component of any comprehensive National Greenhouse Gas Inventory (NGHGI). Due to the expense and difficulty associated with conducting field inventories of CWD pools, CWD C stocks are often modeled as a function of more commonly measured stand attributes such as live tree C density. In order to assess potential benefits of adopting a field-based inventory of CWD C stocks in lieu of the current model-based approach, a national inventory of downed dead wood C across the U.S. was compared to estimates calculated from models associated with the U.S.'s NGHGI and used in the USDA Forest Service, Forest Inventory and Analysis program. The model-based population estimate of C stocks for CWD (i.e., pieces and slash piles) in the conterminous U.S. was 9 percent (145.1 Tg) greater than the field-based estimate. The relatively small absolute difference was driven by contrasting results for each CWD component. The model-based population estimate of C stocks from CWD pieces was 17 percent (230.3 Tg) greater than the field-based estimate, while the model-based estimate of C stocks from CWD slash piles was 27 percent (85.2 Tg) smaller than the field-based estimate. In general, models overestimated the C density per-unit-area from slash piles early in stand development and underestimated the C density from CWD pieces in young stands. This resulted in significant differences in CWD C stocks by region and ownership. The disparity in estimates across spatial scales illustrates the complexity in estimating CWD C in a NGHGI. Based on the results of this study, it is suggested that the U.S. adopt field-based estimates of CWD C stocks as a component of its NGHGI to both reduce the uncertainty within the inventory and improve the sensitivity to potential management and climate change events.
粗木质残体(CWD)碳(C)存量的清查和监测是任何综合国家温室气体清查(NGHGI)的重要组成部分。由于对 CWD 池进行实地清查的费用和难度,CWD C 存量通常被建模为更常见的林分属性(如活立木 C 密度)的函数。为了评估采用基于实地清查 CWD C 存量而不是当前基于模型的方法的潜在好处,对美国全国范围内倒下的枯立木 C 存量的国家清查与模型相关的估计值进行了比较,这些模型与美国的 NGHGI 相关联,并在美国农业部林务局的森林清查和分析计划中使用。基于模型的美国 CWD(即木块和柴堆)存量的总体估计值比基于实地的估计值高出 9%(145.1Tg)。相对较小的绝对差异是由每个 CWD 组成部分的对比结果驱动的。基于模型的 CWD 木块存量的估计值比基于实地的估计值高出 17%(230.3Tg),而基于模型的 CWD 柴堆存量的估计值比基于实地的估计值低 27%(85.2Tg)。总体而言,模型高估了幼龄林发育早期柴堆的单位面积 C 密度,低估了幼龄林的 CWD 木块的 C 密度。这导致了不同地区和所有制下 CWD C 存量的显著差异。不同空间尺度上的估计差异说明了在 NGHGI 中估算 CWD C 的复杂性。基于这项研究的结果,建议美国采用基于实地的 CWD C 存量估计作为其 NGHGI 的一部分,以减少清查中的不确定性并提高对潜在管理和气候变化事件的敏感性。