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...

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Publicado en:Journal of Environmental Management Vol. 173; pp. 121 - 127
Autores principales: Chang, Xiaofeng, Bao, Xiaoying, Wang, Shiping, Zhu, Xiaoxue, Luo, Caiyun, Zhang, Zhenhua, Wilkes, Andreas
Formato: Artículo
Publicado: Academic Press Inc. May2016
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2016
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      pub: Academic Press Inc.
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        114091468
        10.1016/j.jenvman.2016.03.010
      ppf: 121
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        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
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