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Chinese Journal of Applied Ecology ›› 2022, Vol. 33 ›› Issue (5): 1251-1259.doi: 10.13287/j.1001-9332.202205.011

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Effects of livestock grazing on the C:N:P stoichiometry in global grassland ecosystems: A meta analysis

LIU Yu-zhen, LIU Wen-ting, YANG Xiao-xia, LI Cai-di, FENG Bin, YU Yang, ZHANG Chun-ping, DONG Quan-min*   

  1. Qinghai Provincial Key Laboratory of Adaptive Management on Alpine Grassland, Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining 810016, China
  • Received:2021-11-07 Accepted:2022-02-28 Online:2022-05-15 Published:2022-11-15

Abstract: In order to clarify the influence of livestock grazing managements on C:N:P stoichiometry of grassland ecosystem and improve grassland management ability at global scale, 83 Chinese and English papers were selected for meta-analysis in this study. We explored the effects of grazing herbivore assemblage (sheep alone, cattle alone, and mixed cattle and sheep) and grazing intensity (light grazing, moderate grazing and heavy grazing) on leaf, litter, root and soil C, N and P stoichiometry of grassland ecosystems. The results showed that grazing significantly decreased C content, C/N and C/P, and increased N, P content and N/P in leaf and litter. C content, N content, C/P and N/P were significantly reduced, and P content and C/N were increased in root and soil. Leaf and litter stoichiometry were more sensitive to cattle and sheep grazing alone, while root and soil stoichiometry were more sensitive to mixed grazing. Heavy grazing had a greater impact on the stoichiometry of grassland ecosystems. Grazing reduced soil N content and increased P content, indicating that grazing had different pathways of influence on grassland N and P content. Further research on the mechanisms of N and P content changes in response to unbalanced grazing activities and the incorporation of the effects of grazing herbivore assemblage and intensity into models for predicting and managing grassland ecosystems could effectively improve grassland ecosystem management.

Key words: herbivore assemblage, grazing intensity, grassland ecosystem, C:N:P stoichiometry, meta-analysis