基于MARXAN模型的源的识别方法改进及应用

基于MARXAN模型改进了源的识别方法,在生态基础设施的概念下扩展了源的功能分类,认为源是多类型多斑块的整体最优选择集,识别的源同时具备高生物多样性和生态系统服务能力的双重属性。以攀枝花市为例,应用改进的源的识别方法研究其景观生态安全格局。发现攀枝花景观生态安全水平最高的区域是米易县,和盐边县境内二滩鸟类自然保护区以东的区域,局部地区存在阻力值的凸起区域。研究结果表明,本文改进的源的识别方法具有更强的景观生态学现实依据。

Application of an improved recognition method of the source area of landscape ecological security patterns based on MARXAN model

Accurate identification and effective extraction of source areas is the core of the Landscape ecological security pattern identification and evaluation.Based on MARXAN model, this paper improved the recognition method. Under the concept of ecological infrastructure, it extended the functional classification of source areas and took them as an overall optimal selection set along with the dual attributes of high biodiversity and ecosystem services capabilities. Used the improved method, it take the Panzhihua as a case study to recognize the Landscape ecological security pattern and found that regions with the highest level of landscape ecological security are Miyi County and the areas to the east of Ertan Birds National Nature Reserve within Yanbian County.There exist resistance value raised areas in some regions.The results show that the improved recognition method of the source area of landscape ecological security patterns has more landscape ecological realistic basis.