ISWC OpenIR  > 水保所科研产出--SCI  > 2016--SCI
Exploring effective sampling design for monitoring soil organic carbon in degraded Tibetan grasslands
Xiaofeng Chang1; Xiaoying Bao1,5; Shiping Wang3,4,6; Xiaoxue Zhu2,5; Caiyun Luo2; Zhenhua Zhang2; Andreas Wilkes7
文章类型Article
2016
发表期刊Journal of Environmental Management
通讯作者邮箱wangsp@itpcas.ac.cn
期号173页码:121-126
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.

关键词Soil Monitoring Effective Sample Size Sampling Interval Grassland Degradation
DOI10.1016/j.jenvman.2016.03.010
收录类别SCI
语种英语
WOS记录号WOS:000374365100013
引用统计
文献类型期刊论文
条目标识符sbir.nwafu.edu.cn/handle/361005/7791
专题水保所科研产出--SCI_2016--SCI
通讯作者Shiping Wang
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.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
2016-25.pdf(890KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Xiaofeng Chang]的文章
[Xiaoying Bao]的文章
[Shiping Wang]的文章
百度学术
百度学术中相似的文章
[Xiaofeng Chang]的文章
[Xiaoying Bao]的文章
[Shiping Wang]的文章
必应学术
必应学术中相似的文章
[Xiaofeng Chang]的文章
[Xiaoying Bao]的文章
[Shiping Wang]的文章
相关权益政策
暂无数据
收藏/分享
文件名: 2016-25.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。