Exploring effective sampling design for monitoring soil organic carbon in degraded Tibetan grasslands.
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...
| Publicado en: | Journal of Environmental Management Vol. 173; pp. 121 - 127 |
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| Autores principales: | , , , , , , |
| Formato: | Artículo |
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Academic Press Inc.
May2016
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=114091468&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 114091468 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: May2016 vid: 173 pid: 735 pub: Academic Press Inc. artinfo: ui: 114091468 10.1016/j.jenvman.2016.03.010 ppf: 121 ppct: 6 formats: tig: atl: Exploring effective sampling design for monitoring soil organic carbon in degraded Tibetan grasslands. aug: au: Chang, Xiaofeng Bao, Xiaoying Wang, Shiping Zhu, Xiaoxue Luo, Caiyun Zhang, Zhenhua Wilkes, Andreas affil: 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 University of the Chinese Academy of Sciences, Beijing 100049, China Key Laboratory of Alpine Ecology and Biodiversity of the Institute of Tibetan Plateau Research, Chinese Academy of Sciences, 16 Lincui Road, Beijing 100101, China CAS Center for Excellence in Tibetan Plateau Earth Science, Beijing 100101, China 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 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 World Agroforestry Centre (ICRAF) East and Central Asia Program, 12 Zhongguancun Nan Street, Beijing 100081, China su: Tibet (China) Climate change Grasslands Sampling (Process) Soil degradation Sample size (Statistics) sug: subj: Climate change Tibet (China) Grasslands Sampling (Process) Soil degradation Sample size (Statistics) keyword: Effective sample size Grassland degradation Sampling interval Soil monitoring Effective sample size Grassland degradation Sampling interval Soil monitoring ab: 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 km 2 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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