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Modeling SOC and NPP responses of meadow steppe to different grazing intensities in Northeast China

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  • Wang, Yuhui
  • Zhou, Guangsheng
  • Jia, Bingrui

Abstract

Grassland ecosystems play an important role in Chinese terrestrial ecosystems. However, great demand and excessive utilization of human beings on grassland resources have made it more susceptible to rapid degeneration in ecosystem properties and soil carbon levels. Among them, grazing is one of the key factors to make grassland ecosystems degraded. Therefore, it is very important to graze sustainably on grassland for preventing the degradation of grasslands. In this paper, as a case study, we simulated the potential changes of soil organic carbon (SOC) and net primary productivity (NPP) of meadow steppe dominated by Leymus chinensis under different grazing intensities based on CENTURY model (V4.0) in order to evaluate the effects of different grazing intensities and to pursue for optimal grazing intensity. The results showed that NPP and SOC of meadow steppe dominated by Leymus chinensis were very sensitive to grazing intensity. The optimal grazing intensity could be expressed by live shoots, and it should be less than 40% of whole live shoots per month, in order to mitigate the degradation of Leymus chinensis grassland and maintain its sustainable development.

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  • Wang, Yuhui & Zhou, Guangsheng & Jia, Bingrui, 2008. "Modeling SOC and NPP responses of meadow steppe to different grazing intensities in Northeast China," Ecological Modelling, Elsevier, vol. 217(1), pages 72-78.
    • Handle: RePEc:eee:ecomod:v:217:y:2008:i:1:p:72-78
    DOI: 10.1016/j.ecolmodel.2008.05.010
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    1. Badini, Oumarou & Stockle, Claudio O. & Jones, Jim W. & Nelson, Roger & Kodio, Amadou & Keita, Moussa, 2007. "A simulation-based analysis of productivity and soil carbon in response to time-controlled rotational grazing in the West African Sahel region," Agricultural Systems, Elsevier, vol. 94(1), pages 87-96, April.
    2. A. Wright & J.B. Dent, 1969. "The Application Of Simulation Techniques To The Study Of Grazing Systems," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 13(2), pages 144-153, December.
    3. Zhao, Ying & Peth, Stephan & Krümmelbein, Julia & Horn, Rainer & Wang, Zhongyan & Steffens, Markus & Hoffmann, Carsten & Peng, Xinhua, 2007. "Spatial variability of soil properties affected by grazing intensity in Inner Mongolia grassland," Ecological Modelling, Elsevier, vol. 205(1), pages 241-254.
    4. Wright, A. & Dent, J. Barry, 1969. "The Application Of Simulation Techniques To The Study Of Grazing Systems," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 13(2), pages 1-10, December.
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    4. Chen, Yizhao & Fei, Xinran & Groisman, Pavel & Sun, Zhengguo & Zhang, Jianan & Qin, Zhihao, 2019. "Contrasting policy shifts influence the pattern of vegetation production and C sequestration over pasture systems: A regional-scale comparison in Temperate Eurasian Steppe," Agricultural Systems, Elsevier, vol. 176(C).
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    6. Jiaying Zhai & Yahui Song & Wulan Entemake & Hongwei Xu & Yang Wu & Qing Qu & Sha Xue, 2020. "Change in Soil Particle Size Distribution and Erodibility with Latitude and Vegetation Restoration Chronosequence on the Loess Plateau, China," IJERPH, MDPI, vol. 17(3), pages 1-15, January.

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