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Author Zhou, G.; Zhou, X.; He, Y.; Shao, J.; Hu, Z.; Liu, R.; Zhou, H.; Hosseinibai, S. url  doi
  Title Grazing intensity significantly affects belowground carbon and nitrogen cycling in grassland ecosystems: a meta-analysis Type Journal Article
  Year 2017 Publication Global Change Biology Abbreviated Journal Glob Chang Biol  
  Volume 23 Issue 3 Pages 1167-1179  
  Keywords Grazing; Carbon; Livestock; Cattle, Cows; Sheep, Bovine; Ovine  
  Abstract Livestock grazing activities potentially alter ecosystem carbon (C) and nitrogen (N) cycles in grassland ecosystems. Despite the fact that numerous individual studies and a few meta-analyses had been conducted, how grazing, especially its intensity, affects belowground C and N cycling in grasslands remains unclear. In this study, we performed a comprehensive meta-analysis of 115 published studies to examine the responses of 19 variables associated with belowground C and N cycling to livestock grazing in global grasslands. Our results showed that, on average, grazing significantly decreased belowground C and N pools in grassland ecosystems, with the largest decreases in microbial biomass C and N (21.62% and 24.40%, respectively). In contrast, belowground fluxes, including soil respiration, soil net N mineralization and soil N nitrification increased by 4.25%, 34.67% and 25.87%, respectively, in grazed grasslands compared to ungrazed ones. More importantly, grazing intensity significantly affected the magnitude (even direction) of changes in the majority of the assessed belowground C and N pools and fluxes, and C : N ratio as well as soil moisture. Specifically,light grazing contributed to soil C and N sequestration whereas moderate and heavy grazing significantly increased C and N losses. In addition, soil depth, livestock type and climatic conditions influenced the responses of selected variables to livestock grazing to some degree. Our findings highlight the importance of the effects of grazing intensity on belowground C and N cycling, which may need to be incorporated into regional and global models for predicting effects of human disturbance on global grasslands and assessing the climate-biosphere feedbacks.  
  Address (up) School of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200062, China. Institute of Agricultural Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013, China. Center for Global Change and Ecological Forecasting, East China Normal University, Shanghai, 200062, China. Coastal Ecosystems Research Station of Yangtze River Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science, Fudan University, 220 Handan Road, Shanghai, 200433, China. Faculty of Science, Health, Education and Engineering, University of the Sunshine Coast, Maroochydore, DC, Qld, 4558, Australia.  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition 2016/07/15  
  ISSN 1365-2486 (Electronic) 1354-1013 (Linking) ISBN Medium  
  Area Expedition Conference  
  Notes Web of Science and China Knowledge Resource Integrated Database (CNKI) searched Approved yes  
  Call Number UoN @ rachel.dean @ 1461 Serial 2917  
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