基于最小阻力模型的资源型城市景观安全格局诊断研究——以徐州市为例

论文以徐州市为例,基于最小阻力模型诊断其景观安全格局。研究结果表明:(1)单一格局诊断显示,在自然景观、生物多样性和地质灾害格局中,低安全等级面积占比最高,分别为43.79%、51.31%、38.20%;水土资源和风景文化格局中,较低安全占比最高,分别为42.33%、33.29%;低安全区集中在生态源敏感地带,生态价值高,容易受到破坏。(2)综合格局测算显示,在综合景观安全格局中,较低安全等级面积最多,占比为45.83%,高安全等级面积最少,占比为0.39%;低安全区域应禁止开发并优先考虑划为生态红线,较低和中等安全区域应以保护为主,较高和高安全区域应做到开发与保护并重。(3)两种格局对比发现,综合安全格局中低安全与高安全等级的规模下降,是单一格局叠加累积的结果,因此具有更全面的参考价值。研究结果能够为徐州市和其他资源型城市的生态用地保护提供参考。

Research on Diagnosis of Resource-Based Urban Landscape Safety Pattern Based on MCR Model:A Case Study of Xuzhou City

In this paper,we use Xuzhou as an example to diagnose its landscape security pattern based on the minimum resistance model.The results showed that:(1)The single pattern diagnosis showed that in the pattern of natural landscape,biological diversity and geological disaster,the low-security level area ratio was the highest,43.79%,51.31%,38.20%respectively;in the pattern of water and land resources and landscape culture,the relatively low-security level area ratio was the highest,which is 42.33%and 33.29%;and the low-security zone was concentrated in the sensitive area of ecological source,with high ecological value and easy to be destroyed.(2)The integrated pattern calculations showed that in the comprehensive landscape security pattern,the relatively low-security level area ratio was the most,accounting for 45.83%,and the area ratio of the high-security level was the least,accounting for 0.39%;low-security areas should be prohibited from development and priority should be given to ecological red lines.Protection should be given priority to in the relatively low and medium-security areas,and both development and protection should be given priority to in the relatively high and high-security areas.(3)Comparing the two patterns,it was found that the decrease of the scale of low security and high security in the comprehensive security pattern was the result of the accumulation of the single pattern,so it had more comprehensive reference value.The results can be used as a reference for ecological land conservation in Xuzhou and other resource-based cities.