随着经济社会的不断发展,自然栖息地变得越来越支离破碎,阻断栖息地的连接,减少景观的连通性。研究生态连通性的变化可以为栖息地和景观恢复提供有价值的信息,这是区域可持续发展所必需的。尽管人们对这个问题越来越感兴趣,揭示生态脆弱性和深度贫困复合地区生态连通性变化的研究仍然缺乏。在本文中,中国西南最不发达、生态最脆弱的民族地区之一,四川省三州地区,是研究领域。基于2010年和2015年土地利用现状矢量图和生态系统因子和自然保护区的矢量数据,利用GIS空间分析方法,采用最小累积阻力模型分析了生态连通性的变化。首先,根据生态功能区的分布确定生态源。其次,通过整合地形和水文三个维度,修正了基于生态系统服务价值的生态阻力面,生态环境与发展,和利用强度。最后,从生态阻力的角度对2010年和2015年我国西南民族地区的生态连通性进行了对比分析。结果表明:(1)2010-2015年,总体生态连通性下降。(2)有六个以人类活动和生态退化为特征的高生态抗性区域:凉山州安宁河流域,甘孜,甘孜州的德格和卢霍县,阿坝州的若尔盖和红原县。(3)低生态阻力区数量较多,分布较广,形成三个自治州的生态保护屏障,以及调节和保护他们的自然环境。有必要保持和加强这种保护;因此,提出了改善生态连通性的措施。本研究为该区域实现生态安全、人与自然和谐相处提供了参考。
With ongoing economic and social development, natural habitats are becoming increasingly fragmented, blocking habitat connections and reducing landscape connectivity. The study of changes in ecological connectivity can provide valuable information for habitat and landscape restoration, which are necessary for sustainable regional development. Despite the growing interest in this issue, studies that reveal the change in ecological connectivity in the compounded areas of ecological vulnerability and deep poverty are still lacking. In this paper, one of the most underdeveloped and ecologically fragile southwestern ethnic regions of
China, the Sanzhou region of Sichuan Province, was the study area. Based on a vector map of current land-use status and vector data on ecosystem factors and nature reserves in 2010 and 2015, the change in ecological connectivity was analyzed using the minimum cumulative resistance model using GIS spatial analysis method. Firstly, ecological sources were identified based on the distribution of ecological functional areas. Secondly, the ecological resistance surface based on ecosystem service value is revised by integrating the three dimensions of topography and hydrology, ecological environment and development, and utilization intensity. Finally, the ecological connectivity of ethnic areas in southwest
China in 2010 and 2015 was compared and analyzed through the perspective of ecological resistance. The results show that: (1) From 2010 to 2015, the overall ecological connectivity decreased. (2) There were six areas of high ecological resistance featuring human activity and ecological degradation: the Anning River Valley in Liangshan Prefecture, Ganzi, Dege and Luho counties in Ganzi Prefecture, and Ruoergai and Hongyuan counties in Aba Prefecture. (3) Low ecological resistance areas were more numerous and widely distributed, forming an ecological protection barrier for the three autonomous prefectures, and regulating and protecting their natural environments. It is necessary to maintain and strengthen this protection; accordingly, measures are proposed to improve ecological connectivity. This study provides a reference for achieving ecological security and harmonious coexistence between humans and nature in this region.