An Assessment Framework for Grassland Ecosystem Health with Consideration of Natural Succession: A Case Study in Bayinxile, China

An Assessment Framework for Grassland Ecosystem Health with Consideration of Natural Succession: A Case Study in Bayinxile, China
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DOI:
10.3390/su11041096
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发表时间:
2019-02
期刊:
影响因子:
3.9
通讯作者:
Nitu Wu;Aijun Liu;Yongfang Wang;L. Li;Lumeng Chao;Guixiang Liu
Nitu Wu;Aijun Liu;Yongfang Wang;L. Li;Lumeng Chao;Guixiang Liu
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Nitu Wu;Aijun Liu;Yongfang Wang;L. Li;Lumeng Chao;Guixiang Liu

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Grassland health assessment is the basis for formulating grassland protection policy. However, there are few assessment methods that consider the angle of natural succession for northern China’s regional native grassland with excessive human activities. The main purpose of this study is to build an assessment system for these areas from the perspective of natural succession. Besides, the minimal cumulative resistance (MCR) model was used to extract potential ecological information from the study area as a supplementary reference for the assessment results. The result for Bayinxile pasture, a typical semiarid steppe with excessive human activities located in northern China, showed that: (1) The ecological function of eastern hilly area was better than that of other regions and the western area was lowest as a whole. (2) The river was the most important ecological network in the whole grassland in that it was of vital significance in the prevention of retrogressive succession and in the linking of ecological communities. (3) The density of ecological network was closely related to the intensity of human activities, and farmland and roads had great negative influence on the connection of the grassland ecological network. We further proposed an ecological control zone and made suggestions for Bayinxile ecological management to prevent grassland degradation based on the above results. This study should provide a new perspective for grassland health assessment and sustainable development of regional grassland.