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蒙新高速公路对阿拉善荒漠区有蹄类野生动物生境适宜性的影响

李帅,张相锋,石建斌,董世魁*,高晓霞   

  1. (北京师范大学环境学院, 水环境模拟国家重点实验室, 北京 100875)
  • 出版日期:2018-01-10 发布日期:2018-01-10

Effects of highway from Inner Mongolia to Xinjiang on habitat suitability of ungulates in Alashan desert.

LI Shuai,  ZHANG Xiang-feng, SHI Jian-bin, DONG Shi-kui*, GAO Xiao-xia   

  1. (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China).
  • Online:2018-01-10 Published:2018-01-10

摘要: 阿拉善荒漠区是中国8个生物多样性中心之一,已建成通车的蒙新高速公路横穿阿拉善荒漠,该公路为有蹄类野生动物预留了通道。客观评价所设置的野生动物通道的适宜性,对该区有蹄类野生动物的保护具有重要意义。本文以生态位理论为指导,应用模糊综合评价法结合GIS空间数据呈现,对高速公路建设期沿线有蹄类野生动物的生境适宜性本底进行评价。结果表明:通道适宜性指数随着公路由东到西而逐渐降低,在路段K46~K168适宜性指数变化较大,K295~K620变化次之,K641~K891变化较小,饮用水的距离、居民点的距离以及饮用水点的个数是造成变化的主要原因。距离公路不同适宜性指数有显著差异,除去公路要素对于适宜性的影响外,其他要素及其叠加作用对适宜性指数的影响不显著。

关键词: 回归分析, 遥感, 归一化植被指数, 季节变换, 植被覆盖度

Abstract: Alashan desert area is one of the 8 biodiversity protection centers in China, which is passed by the expressway from Inner Mongolia to Xinjiang. The passages for ungulate species have been designed along the highway during the construction. It is of great importance to evaluate the suitability of animal passages for the ungulates. Based on the niche theory, we used fuzzy comprehensive evaluation method combined with GIS spatial data presentation to evaluate the habitat suitability of ungulate species along the highway in this study. The results show that the suitability index of animal passages declines along the highway from east to west. In the section K46-K168, the suitability index changes greatly, the change of suitability index is the second among the sections of K295-K620, and the change of suitability index is smaller between the sections of K641-K891. The distance between the drinking water, the distance from the residential area and the number of drinking water points are the main causes of such changes. There is a significant difference in suitability index from the highway. Except for the influence of highway elements on suitability, other factors and their superimposed effects on the suitability index are not significant.

Key words: remote sensing., fractional vegetation cover (FVC), normalized difference vegetation index (NDVI), regression analysis, seasonal variation correction