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Modeling the responses of grassland vegetation coverage to grazing disturbance in an alpine meadow

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  • Fu, Lintao
  • Bo, Tianli
  • Du, Guozhen
  • Zheng, Xiaojing

Abstract

Vegetation coverage plays an important role in hindering the erosion in grassland. The grasslands around the world are suffering from the overgrazing which usually causes coverage decrease. Thus, an urgent objective of ecology is to understand how the vegetation coverage varies with overgrazing in the grassland. Although overgrazing has been studied for a long time, its influence on the change of coverage is not well understood. This work modified Noy-Meir's model of stability in grazing systems by modeling vegetation coverage instead of biomass. The grassland of Maqu (Gansu, China), which is located on the eastern Tibetan Plateau, was chosen as the case study site. The modified model and the introduced parameters were tested, and the relationship between coverage change and the overgrazing sheep units was discussed. The modified model proved to be more suitable to describe the change of vegetation coverage under overgrazing than the published classic models. The results reveal the variation of coverage is determined corporately by grazing intensity, natural conditions and property of grassland. Besides, these results give a reasonable explanation on the difference of coverage change under various grazing situations in previous works. Moreover, the spatial and temporal heterogeneity were studied through introducing some parameters, i.e., the ideally discontinuous grazing period, the proportion that the time of overgrazing occupies in the period, homogeneous factor and restraining constant. Also, the potential positive impact of grazing on the change of coverage was discussed through increasing the growth rate, based on its role in nutrient deposition.

Suggested Citation

  • Fu, Lintao & Bo, Tianli & Du, Guozhen & Zheng, Xiaojing, 2012. "Modeling the responses of grassland vegetation coverage to grazing disturbance in an alpine meadow," Ecological Modelling, Elsevier, vol. 247(C), pages 221-232.
    • Handle: RePEc:eee:ecomod:v:247:y:2012:i:c:p:221-232
    DOI: 10.1016/j.ecolmodel.2012.08.027
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    References listed on IDEAS

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    1. Sonia Kéfi & Max Rietkerk & Concepción L. Alados & Yolanda Pueyo & Vasilios P. Papanastasis & Ahmed ElAich & Peter C. de Ruiter, 2007. "Spatial vegetation patterns and imminent desertification in Mediterranean arid ecosystems," Nature, Nature, vol. 449(7159), pages 213-217, September.
    2. Ryrie, Susan C. & Prentice, I. Colin, 2011. "Herbivores enable plant survival under nutrient limited conditions in a model grazing system," Ecological Modelling, Elsevier, vol. 222(3), pages 381-397.
    3. Richard A. Gill & H. Wayne Polley & Hyrum B. Johnson & Laurel J. Anderson & Hafiz Maherali & Robert B. Jackson, 2002. "Nonlinear grassland responses to past and future atmospheric CO2," Nature, Nature, vol. 417(6886), pages 279-282, May.
    4. Marten Scheffer & Jordi Bascompte & William A. Brock & Victor Brovkin & Stephen R. Carpenter & Vasilis Dakos & Hermann Held & Egbert H. van Nes & Max Rietkerk & George Sugihara, 2009. "Early-warning signals for critical transitions," Nature, Nature, vol. 461(7260), pages 53-59, September.
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    1. Azimatjan Mamattursun & Han Yang & Kamila Ablikim & Nurbiya Obulhasan, 2022. "Spatiotemporal Evolution and Driving Forces of Vegetation Cover in the Urumqi River Basin," IJERPH, MDPI, vol. 19(22), pages 1-25, November.
    2. Qingqing Ma & Linrong Chai & Fujiang Hou & Shenghua Chang & Yushou Ma & Atsushi Tsunekawa & Yunxiang Cheng, 2019. "Quantifying Grazing Intensity Using Remote Sensing in Alpine Meadows on Qinghai-Tibetan Plateau," Sustainability, MDPI, vol. 11(2), pages 1-14, January.

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