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Estimation of plot-level soil carbon stocks in China's forests using intensive soil sampling
Liu, Shangshi1; Shen, Haihua1; Zhao, Xia; Zhou, Luhong1; Li, He1; Xu, Longchao1; Xing, Aijun1; Fang, Jingyun1,2
2019
发表期刊GEODERMA
ISSN0016-7061
卷号348页码:107-114
摘要Forest soil is a large carbon (C) pool and plays a pivotal role in the global C cycle. The accurate estimation of soil organic carbon (SOC) stocks in forests is the cornerstone of studying the C budget; however, current assessments of forest SOC stocks are highly uncertain. One of the key reasons for this uncertainty is that most previous studies only used a few soil profiles for their estimation, whereas SOC stocks are highly spatially heterogeneous. To accurately evaluate the plot-level SOC stocks of China's forests, we conducted intensive soil sampling (100 soil cores within a plot) in 33 plots across 11 forest sites from south to north China. The average SOC density (SOCD) of these forest sites was 137.4 +/- 12.1 Mg C ha(-1) (0-100 cm), with significant geographic variations. The highest SOCD (306.8 +/- 7.6 Mg C ha(-1)) was observed in deciduous needleleaf forest (boreal forest) in northeast China, while the lowest one (64.8 +/- 0.9 Mg C ha(-1)) was found in subtropical evergreen broadleaf forest in south China. We also showed that the error of the SOCD estimates obtained from the intensive soil sampling was significantly smaller than that of estimates obtained from the traditional sampling method (5.3 +/- 1.3% vs. 24.2 +/- 5.6%, with a confidence level of 0.95). Our results suggest that intensive sampling can significantly reduce the uncertainty in forest SOC stock estimation by guarding against the effects of spatial heterogeneity, and provide an important methodological reference for accurately evaluating forest SOC stocks and C budgets in other regions.
关键词Carbon storage Forest soil Spatial heterogeneity
学科领域Soil Science
DOI10.1016/j.geoderma.2019.04.029
收录类别SCI
语种英语
WOS关键词ORGANIC-CARBON ; TERRESTRIAL ECOSYSTEMS ; NORTHERN CHINA ; TOPSOIL CARBON ; CLIMATE-CHANGE ; BIOMASS ; STORAGE ; SEQUESTRATION ; PATTERNS ; DETERMINANTS
WOS研究方向Agriculture
WOS记录号WOS:000470042500012
出版者ELSEVIER
文献子类Article
出版地AMSTERDAM
EISSN1872-6259
资助机构Key Research Program of Frontier Sciences, CAS [QYZDY-SSW-SMC011] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31330012] ; National Key Research and Development Program [2017YFC0503901]
作者邮箱jyfang@urban.pku.edu.cn
引用统计
被引频次:7[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ibcas.ac.cn/handle/2S10CLM1/19647
专题植被与环境变化国家重点实验室
作者单位1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Peking Univ, Minist Educ, Key Lab Earth Surface Proc, Inst Ecol, Beijing 100871, Peoples R China
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GB/T 7714
Liu, Shangshi,Shen, Haihua,Zhao, Xia,et al. Estimation of plot-level soil carbon stocks in China's forests using intensive soil sampling[J]. GEODERMA,2019,348:107-114.
APA Liu, Shangshi.,Shen, Haihua.,Zhao, Xia.,Zhou, Luhong.,Li, He.,...&Fang, Jingyun.(2019).Estimation of plot-level soil carbon stocks in China's forests using intensive soil sampling.GEODERMA,348,107-114.
MLA Liu, Shangshi,et al."Estimation of plot-level soil carbon stocks in China's forests using intensive soil sampling".GEODERMA 348(2019):107-114.
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