中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Exploring effective sampling design for monitoring soil organic carbon in degraded Tibetan grasslands

文献类型:期刊论文

作者Xiaofeng Chang1; Xiaoying Bao1,5; Shiping Wang3,4,6; Xiaoxue Zhu2,5; Caiyun Luo2; Zhenhua Zhang2; Andreas Wilkes7
刊名Journal of Environmental Management
出版日期2016
期号173页码:121-126
通讯作者邮箱wangsp@itpcas.ac.cn
关键词Soil monitoring Effective sample size Sampling interval Grassland degradation
通讯作者Shiping Wang
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 km2 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 5e10 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.

语种英语
WOS记录号WOS:000374365100013
源URL[http://ir.iswc.ac.cn/handle/361005/7791]  
专题水土保持研究所_水保所科研产出--SCI_2016--SCI
作者单位1.State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, 26 Xinong Road, Yangling 712100, China
2.Key Laboratory of Adaptation and Evolution of Plateau Biota, Haibei Alpine Meadow Ecosystem Research Station, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, 23 Xinning Road, Xining 810008, China
3.Key Laboratory of Alpine Ecology and Biodiversity of the Institute of Tibetan Plateau Research, Chinese Academy of Sciences, 16 Lincui Road, Beijing 100101, China
4.CAS Center for Excellence in Tibetan Plateau Earth Science, Beijing 100101, China
5.University of the Chinese Academy of Sciences, Beijing 100049, China
6.Naqu Integrated Observation and Research Station on Ecology and Environment, Tibet University and Institute of Tibetan Plateau Research of the Chinese Academy of Sciences, Lasa 850012, China
7.World Agroforestry Centre (ICRAF) East and Central Asia Program, 12 Zhongguancun Nan Street, Beijing 100081, China
推荐引用方式
GB/T 7714
Xiaofeng Chang,Xiaoying Bao,Shiping Wang,et al. Exploring effective sampling design for monitoring soil organic carbon in degraded Tibetan grasslands[J]. Journal of Environmental Management,2016(173):121-126.
APA Xiaofeng Chang.,Xiaoying Bao.,Shiping Wang.,Xiaoxue Zhu.,Caiyun Luo.,...&Andreas Wilkes.(2016).Exploring effective sampling design for monitoring soil organic carbon in degraded Tibetan grasslands.Journal of Environmental Management(173),121-126.
MLA Xiaofeng Chang,et al."Exploring effective sampling design for monitoring soil organic carbon in degraded Tibetan grasslands".Journal of Environmental Management .173(2016):121-126.

入库方式: OAI收割

来源:水土保持研究所

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