气候变化领域集成服务门户(CCPortal): Exploring effective sampling design for monitoring soil organic carbon in degraded Tibetan grasslands

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DOI	10.1016/j.jenvman.2016.03.010
	Exploring effective sampling design for monitoring soil organic carbon in degraded Tibetan grasslands
	Chang, Xiaofeng; Bao, Xiaoying; Wang, Shiping; Zhu, Xiaoxue; Luo, Caiyun; Zhang, Zhenhua; Wilkes, Andreas
通讯作者	Wang, S (通讯作者)
发表日期	2016
ISSN	0301-4797
EISSN	1095-8630
起始页码	121
结束页码	126
卷号	173
英文摘要	The effects of climate change and human activities on grassland degradation and soil carbon stocks have become a focus of both research and policy. However, lack of research on appropriate sampling design prevents accurate assessment of soil carbon stocks and stock changes at community and regional scales. Here, we conducted an intensive survey with 1196 sampling sites over an area of 190 km(2) of degraded alpine meadow. Compared to lightly degraded meadow, soil organic carbon (SOC) stocks in moderately, heavily and extremely degraded meadow were reduced by 11.0%, 13.5% and 17.9%, respectively. Our field survey sampling design was overly intensive to estimate SOC status with a tolerable uncertainty of 10%. Power analysis showed that the optimal sampling density to achieve the desired accuracy would be 2, 3, 5 and 7 sites per 10 km2 for lightly, moderately, heavily and extremely degraded meadows, respectively. If a subsequent paired sampling design with the optimum sample size were performed, assuming stock change rates, predicted by experimental and modeling results, we estimate that about 5-10 years would be necessary to detect expected trends in SOC in the top 20 cm soil layer. Our results highlight the utility of conducting preliminary surveys to estimate the appropriate sampling density and avoid wasting resources due to over-sampling, and to estimate the sampling interval required to detect an expected sequestration rate. Future studies will be needed to evaluate spatial and temporal patterns of SOC variability. (C) 2016 Published by Elsevier Ltd.
关键词	SPATIAL VARIABILITY CLIMATE-CHANGE IMPACTS PLATEAU STOCKS TREND CHINA SEQUESTRATION MANAGEMENT STEPPE
英文关键词	Soil monitoring; Effective sample size; Sampling interval; Grassland degradation
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Sciences
WOS记录号	WOS:000374365100013
来源期刊	JOURNAL OF ENVIRONMENTAL MANAGEMENT
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/258829
推荐引用方式 GB/T 7714	Chang, Xiaofeng,Bao, Xiaoying,Wang, Shiping,et al. Exploring effective sampling design for monitoring soil organic carbon in degraded Tibetan grasslands[J]. 中国科学院青藏高原研究所,2016,173.
APA	Chang, Xiaofeng.,Bao, Xiaoying.,Wang, Shiping.,Zhu, Xiaoxue.,Luo, Caiyun.,...&Wilkes, Andreas.(2016).Exploring effective sampling design for monitoring soil organic carbon in degraded Tibetan grasslands.JOURNAL OF ENVIRONMENTAL MANAGEMENT,173.
MLA	Chang, Xiaofeng,et al."Exploring effective sampling design for monitoring soil organic carbon in degraded Tibetan grasslands".JOURNAL OF ENVIRONMENTAL MANAGEMENT 173(2016).