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土壤有机碳库的关键影响因素及其不确定性
引用本文:常小峰,汪诗平,徐广平,白 玲.土壤有机碳库的关键影响因素及其不确定性[J].广西植物,2013(5):710-716.
作者姓名:常小峰  汪诗平  徐广平  白 玲
作者单位:1. 中国科学院西北高原生物研究所 高原生物适应与进化重点实验室, 西宁 810008; 2. 中国科学院青藏 高原研究所 高寒生态学和生物多样性实验室, 北京 100101; 3. 广西壮族自治区 中国科学院 广西植物研究所, 广西 桂林 541006; 4. 中国科学院大学, 北京 100049; 5. 西藏大学, 拉萨 850000
摘    要:土壤是陆地生态系统最大的有机碳库,比植被碳库或大气碳库的两倍还多。准确评估土壤有机碳库是预测全球变化与土壤有机碳之间反馈关系的关键。但目前对土壤有机碳库的估算还存在很大不确定性。该文综述了土壤有机碳库估算及其影响因素和土壤有机碳库估算不确定性的来源和常用的采样方法,以及计算土壤碳汇的最新研究进展。未来技术进步以及模型的不断完善可能会降低土壤有机碳库估算的不确定性,提高其估算的精度

关 键 词:土壤有机碳库    不确定性    采样方法    碳汇

Estimating uncertainties and determinants of soil organic carbon stock
CHANG Xiao-Feng,WANG Shi-Ping,XU Guang-Ping,BAI Ling.Estimating uncertainties and determinants of soil organic carbon stock[J].Guihaia,2013(5):710-716.
Authors:CHANG Xiao-Feng  WANG Shi-Ping  XU Guang-Ping  BAI Ling
Institution:1. Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China; 2. Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, the Chinese Academy of Sciences, Beijing 100101, China; 3. Guangxi Institute of Botany, Guangxi Zhuang Autonomous Region and the Chinese Academy of Sciences, Guilin 541006, China; 4. University of Chinese Academy of Sciences, Beijing 100049, China; 5. University of Tibet, Lhasa 850000, China
Abstract:Soil is the largest organic carbon reservoir in the terrestrial biosphere,about two times larger than that of vegetation or the atmosphere. Robust and accurate estimate of soil organic carbon(SOC)stocks is critical for predicting feedbacks of SOC to global change. However,the current storage of SOC remains largely uncertain. It is the objective of this paper to review the estimates of SOC stocks and their determinants,the sources of uncertainties in SOC stock assessments and the sampling methodologies commonly used, and advances in measuring SOC sequestration. Future advances in technology and research programs with modeling may have the potential to reduce uncertainties and improve SOC stock assessment.
Keywords:SOC stock  uncertainty  sampling methodology  carbon sequestration
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