中国科学院青藏高原研究所机构知识库
Advanced  
ITPCAS OpenIR  > 图书馆  > 期刊论文
学科主题: 生物科学::普通生物学
题名: Exploring effective sampling design for monitoring soil organic carbon in degraded Tibetan grasslands
作者: Chang, XF (Chang, Xiaofeng)1; Bao, XY (Bao, Xiaoying)5; Wang, SP (Wang, Shiping)3, 4, 6, 7; Zhu, XX (Zhu, Xiaoxue)2, 5; Luo, CY (Luo, Caiyun)2; Zhang, ZH (Zhang, Zhenhua)2; Wilkes, A (Wilkes, Andreas)8
通讯作者: Wang, SP
刊名: JOURNAL OF ENVIRONMENTAL MANAGEMENT
发表日期: 2016
DOI: 10.1016/j.jenvman.2016.03.010
卷: 173, 期:0, 页:121-126
收录类别: SCI
合作性质: 国际
文章类型: Article
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.
语种: 英语
WOS记录号: WOS:000374365100013
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.itpcas.ac.cn/handle/131C11/7698
Appears in Collections:图书馆_期刊论文

Files in This Item:
File Name/ File Size Content Type Version Access License
V.173 121-126 2016.pdf(870KB)期刊论文作者接受稿开放获取View 联系获取全文

作者单位: 1.Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, 26 Xinong Rd, Yangling 712100, Peoples R China
2.Chinese Acad Sci, Northwest Inst Plateau Biol, Key Lab Adaptat & Evolut Plateau Biota, Haibei Alpine Meadow Ecosyst Res Stn, 23 Xinning Rd, Xining 810008, Peoples R China
3.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol & Biodivers, 16 Lincui Rd, Beijing 100101, Peoples R China
4.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
6.Tibet Univ, Naqu Integrated Observat & Res Stn Ecol & Environ, Lasa 850012, Peoples R China
7.Chinese Acad Sci, Inst Tibetan Plateau Res, Lasa 850012, Peoples R China
8.World Agroforestry Ctr ICRAF, East & Cent Asia Program, 12 Zhongguancun Nan St, Beijing 100081, Peoples R China

Recommended Citation:
Chang, XF ,Bao, XY ,Wang, SP ,et al. Exploring effective sampling design for monitoring soil organic carbon in degraded Tibetan grasslands[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2016,173(0):121-126.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Chang, XF (Chang, Xiaofeng)]'s Articles
[Bao, XY (Bao, Xiaoying)]'s Articles
[Wang, SP (Wang, Shiping)]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Chang, XF (Chang, Xiaofeng)]‘s Articles
[Bao, XY (Bao, Xiaoying)]‘s Articles
[Wang, SP (Wang, Shiping)]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: V.173 121-126 2016.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2017  中国科学院青藏高原研究所 - Feedback
Powered by CSpace