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Ecological modeling of riparian vegetation under disturbances: A review

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  • You, Xiaoguang
  • Liu, Jingling
  • Zhang, Lulu

Abstract

The composition, structure, and dynamics of riparian vegetation are under great pressure from natural and anthropogenic disturbances. Regarding the riparian vegetation system, how to assess the effects of disturbances on system, analyze schemes of coupled disturbances and vegetation, and identify the significant effects are fundamental basis of corresponding management. This paper reviews the statistical, empirical, and analytical vegetation models, of which the assumptions, logic, and typical applicability are examined aiming at selecting the most appropriate model for a given case. This study suggests the current challenges of riparian vegetation modeling are as follows: (1) How to integrate multiple anthropogenic disturbances in riparian vegetation modeling for management decision support and (2) How to develop models that are suitable for multi-scale vegetation system that can reflect both long- and short-term effects under various disturbances.

Suggested Citation

  • You, Xiaoguang & Liu, Jingling & Zhang, Lulu, 2015. "Ecological modeling of riparian vegetation under disturbances: A review," Ecological Modelling, Elsevier, vol. 318(C), pages 293-300.
    • Handle: RePEc:eee:ecomod:v:318:y:2015:i:c:p:293-300
    DOI: 10.1016/j.ecolmodel.2015.07.002
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    References listed on IDEAS

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    1. Ahn, Changwoo & Moser, Kurt F. & Sparks, Richard E. & White, David C., 2007. "Developing a dynamic model to predict the recruitment and early survival of black willow (Salix nigra) in response to different hydrologic conditions," Ecological Modelling, Elsevier, vol. 204(3), pages 315-325.
    2. Brolsma, R.J. & van Beek, L.P.H. & Bierkens, M.F.P., 2010. "Vegetation competition model for water and light limitation. II: Spatial dynamics of groundwater and vegetation," Ecological Modelling, Elsevier, vol. 221(10), pages 1364-1377.
    3. Yang, Tao & Liu, Jingling & Chen, Qiuying, 2013. "Assessment of plain river ecosystem function based on improved gray system model and analytic hierarchy process for the Fuyang River, Haihe River Basin, China," Ecological Modelling, Elsevier, vol. 268(C), pages 37-47.
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