Knowledge Management System Of Institute Of Botany,CAS
Testing biodiversity-ecosystem functioning relationship in the world's largest grassland: overview of the IMGRE project | |
Wu, Jianguo1; Naeem, Shahid2; Elser, James; Bai, Yongfei3; Huang, Jianhui3; Kang, Le4; Pan, Qingmin3; Wang, Qibing3; Hao, Shuguang4; Han, Xingguo3,5 | |
2015 | |
发表期刊 | LANDSCAPE ECOLOGY |
ISSN | 0921-2973 |
卷号 | 30期号:9页码:1723-1736 |
摘要 | The relationship between biodiversity and ecosystem functioning (BEF) is a central topic in ecology on local, regional, and global scales. A powerful approach to BEF studies is large-scale field manipulative experimentation. The Inner Mongolian Grassland Removal Experiment (IMGRE) was designed to examine the mechanisms of the BEF relationship in the world's largest grassland, explicitly considering multiple trophic levels and grazing by grasshoppers and sheep. IMGRE followed a randomized block design, with a total of 512 plots (6 m x 6 m each). The project involved massive field campaigns and laboratory analyses, and unprecedentedly employed two removal protocols in parallel: complete removal (eradicating all targeted functional types) and partial removal (an equal-disturbance removal scheme). We summarize key findings on aboveground and belowground primary production, functional richness, identity, and composition, compensation at the species, PFT, and community levels, soil water and N retention, net N mineralization, microbial biomass, and grazing by grasshoppers and sheep. Comparing and contrasting results from the two removal protocols, we have found that the responses of ecosystem processes depend on plant functional richness and identity, as well as disturbance characteristics. As part of the special issue on the ecological patterns and processes in the Inner Mongolian Plateau, this article provides an overview of the IMGRE project. The findings of this project shed new light on the BEF relationship in natural grasslands, and have important implications for ecosystem management in the Mongolian Plateau. |
关键词 | Biodiversity and ecosystem functioning relationship BEF removal experiments Ecological stoichiometry Plant functional types Inner Mongolian grasslands |
学科领域 | Ecology ; Geography, Physical ; Geosciences, Multidisciplinary |
DOI | 10.1007/s10980-015-0155-y |
收录类别 | SCI |
语种 | 英语 |
WOS关键词 | SPECIES RICHNESS ; LONG-TERM ; DIVERSITY ; STABILITY ; COMPLEMENTARITY ; CONSEQUENCES ; PRODUCTIVITY ; COMMUNITIES ; PERSPECTIVES ; PERFORMANCE |
WOS研究方向 | Science Citation Index Expanded (SCI-EXPANDED) |
WOS记录号 | WOS:000361903500012 |
出版者 | SPRINGER |
文献子类 | Article |
出版地 | DORDRECHT |
EISSN | 1572-9761 |
资助机构 | National Science Foundation (NSF) [DEB-0618193] ; National Natural Science Foundation of China (NSFC) ; Chinese Academy of Sciences (CAS) |
作者邮箱 | jingle.wu@asu.edu |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ibcas.ac.cn/handle/2S10CLM1/25657 |
专题 | 植被与环境变化国家重点实验室 |
作者单位 | 1.Arizona State Univ, Sch Life Sci, Tempe, AZ 85287 USA 2.Arizona State Univ, Sch Sustainabil, Tempe, AZ 85287 USA 3.Columbia Univ, Dept Ecol Evolut & Environm Biol, New York, NY 10027 USA 4.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 5.Chinese Acad Sci, Inst Zool, State Key Lab Integrated Management Pest Insects, Beijing 100101, Peoples R China 6.Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China |
推荐引用方式 GB/T 7714 | Wu, Jianguo,Naeem, Shahid,Elser, James,et al. Testing biodiversity-ecosystem functioning relationship in the world's largest grassland: overview of the IMGRE project[J]. LANDSCAPE ECOLOGY,2015,30(9):1723-1736. |
APA | Wu, Jianguo.,Naeem, Shahid.,Elser, James.,Bai, Yongfei.,Huang, Jianhui.,...&Han, Xingguo.(2015).Testing biodiversity-ecosystem functioning relationship in the world's largest grassland: overview of the IMGRE project.LANDSCAPE ECOLOGY,30(9),1723-1736. |
MLA | Wu, Jianguo,et al."Testing biodiversity-ecosystem functioning relationship in the world's largest grassland: overview of the IMGRE project".LANDSCAPE ECOLOGY 30.9(2015):1723-1736. |
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