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面向美国森林土壤有机碳的基于清单的估计。

Toward inventory-based estimates of soil organic carbon in forests of the United States.

机构信息

USDA Forest Service, Northern Research Station, 1992 Folwell Avenue, St. Paul, Minnesota, 55108, USA.

University of Michigan Biological Station, 9133 Biological Road, Pellston, Michigan, 49769, USA.

出版信息

Ecol Appl. 2017 Jun;27(4):1223-1235. doi: 10.1002/eap.1516. Epub 2017 Apr 19.

Abstract

Soil organic carbon (SOC) is the largest terrestrial carbon (C) sink on Earth; this pool plays a critical role in ecosystem processes and climate change. Given the cost and time required to measure SOC, and particularly changes in SOC, many signatory nations to the United Nations Framework Convention on Climate Change report estimates of SOC stocks and stock changes using default values from the Intergovernmental Panel on Climate Change or country-specific models. In the United States, SOC in forests is monitored by the national forest inventory (NFI) conducted by the Forest Inventory and Analysis (FIA) program within the U.S. Department of Agriculture, Forest Service. The FIA program has been consistently measuring soil attributes as part of the NFI since 2001 and has amassed an extensive inventory of SOC in forest land in the conterminous United States and southeast and southcentral coastal Alaska. That said, the FIA program has been using country-specific predictions of SOC based, in part, upon a model using SOC estimates from the State Soil Geographic (STATSGO) database compiled by the Natural Resources Conservation Service. Estimates obtained from the STATSGO database are averages over large map units and are not expected to provide accurate estimates for specific locations, e.g., NFI plots. To improve the accuracy of SOC estimates in U.S. forests, NFI SOC observations were used for the first time to predict SOC density to a depth of 100 cm for all forested NFI plots. Incorporating soil-forming factors along with observations of SOC into a new estimation framework resulted in a 75% (48 ± 0.78 Mg/ha) increase in SOC densities nationally. This substantially increases the contribution of the SOC pool, from approximately 44% (17 Pg) of the total forest ecosystem C stocks to 56% (28 Pg), in the forest C budget of the United States.

摘要

土壤有机碳 (SOC) 是地球上最大的陆地碳 (C) 汇;这个碳汇在生态系统过程和气候变化中起着关键作用。鉴于测量 SOC 以及特别是 SOC 变化所需的成本和时间,许多签署《联合国气候变化框架公约》的国家使用政府间气候变化专门委员会或国家特定模型的默认值来报告 SOC 储量和储量变化的估计值。在美国,森林中的 SOC 由美国农业部林务局内的森林清查和分析 (FIA) 计划进行的国家森林清查 (NFI) 监测。自 2001 年以来,FIA 计划一直在作为 NFI 的一部分测量土壤属性,并积累了美国大陆和东南及南中海岸阿拉斯加的森林土地 SOC 的广泛清单。也就是说,FIA 计划一直在使用基于国家特定预测的 SOC,部分基于使用自然资源保护服务编制的状态土壤地理 (STATSGO) 数据库中的 SOC 估计值的模型。从 STATSGO 数据库获得的估计值是大地图单元的平均值,预计不会为特定地点(例如 NFI 地块)提供准确的估计值。为了提高美国森林中 SOC 估计的准确性,首次将 NFI SOC 观测值用于预测所有森林 NFI 地块 100 cm 深度的 SOC 密度。将土壤形成因素与 SOC 观测值结合到新的估计框架中,使全国 SOC 密度增加了 75%(48±0.78 Mg/ha)。这大大增加了 SOC 库的贡献,从美国森林生态系统 C 储量的大约 44%(17Pg)增加到 56%(28Pg)。

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