Estimation of plot-level soil carbon stocks in China's forests using intensive soil sampling
文献类型：期刊论文
| 作者 | Liu, Shangshi2; Shen, Haihua2; Zhao, Xia; Zhou, Luhong2; Li, He2; Xu, Longchao2; Xing, Aijun2; Fang, Jingyun1,2
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| 刊名 | GEODERMA
 |
| 出版日期 | 2019 |
| 卷号 | 348页码:107-114 |
| 关键词 | Carbon storage Forest soil Spatial heterogeneity |
| ISSN号 | 0016-7061 |
| DOI | 10.1016/j.geoderma.2019.04.029 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| 学科主题 | Soil Science |
| 出版地 | AMSTERDAM |
| 电子版国际标准刊号 | 1872-6259 |
| 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:000470042500012 |
| 出版者 | ELSEVIER |
| 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] |
| 源URL | [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.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 3.Peking Univ, Minist Educ, Key Lab Earth Surface Proc, Inst Ecol, Beijing 100871, Peoples R China |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：植物研究所
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