文献类型：期刊文献

英文题名：Climate-Sensitive Spatial Variability of Soil Organic Carbon in Multiple Forests, Central China

作者：Shen, Chenchen[1] Xiao, Wenfa[1,2] Chen, Jizhen[1] Hua, Lin[1] Huang, Zhilin[1,2]

第一作者：Shen, Chenchen

机构：[1] Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Key Laboratory of Forest Ecology and Environment of National Forestry, Grassland Administration, Beijing, 100091, China; [2] Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Jiangsu, Nanjing, 210037, China

年份：2022

外文期刊名：SSRN

收录：EI(收录号：20220439387)

语种：英文

外文关键词：Organic carbon - Soils - Temperature - Topography

摘要：The soil organic carbon (SOC) content is determined by multiple factors in terrestrial ecosystems. This study explored the SOC content and its influencing factors along the soil depths up to 100 cm through the quantile regression forest algorithm (QRF) for seven forests of subtropical, temperate, and transitional climate zones in Central China. The models had the highest explained variance score of 0.621 for the top soil layer (0-20 cm), which decreased with soil depths. In addition to parent material, bulk density, mean tree height, NDVI and topography, climate factors, especially summer precipitation, and surface soil temperature, were identified as the most influential factors for SOC accumulation and spatial variability in these forests. SOC was positively affected by summer precipitation from zero to 100 cm. A higher surface soil temperature was beneficial only for forest SOC in the top layer. The highest SOC > 50 g kg-1 was found under the cover of mixed coniferous forests and evergreen broad-leaved forests at high elevations approximately 1000 m asl, which were dominated by high summer precipitation. At the vertical depth, SOC largely accumulated at a depth of 40 cm but decreased thereafter. Owing to the positive impact of precipitation on forest SOC and the urgent need for increasing carbon sinks, forest management could focus on mixed evergreen broad-leaved forests and mixed coniferous forests, afforestation, and reforestation of mixed forests based on local species. ? 2022, The Authors. All rights reserved.