Landscape ecological risk assessment and its coupling characteristics analysis in Fugu County,Northern Shaanxi
The study of the evolution of landscape ecological risk in semi-arid ecological fragile areas is of great significance for the coordinated development of regional economic development and ecological protection.Taking Fugu County as an example,the landscape ecological risk assessment model,spatial autocorrelation model and coupling coordination degree model were constructed based on the land use data to divide the"three living spaces"in Fugu County,and the evolution of landscape ecological risk and the characteristics of coupling coordination were analyzed.The results are as follows:1)From 2000 to 2020,the area of the"three living spaces"in Fugu County changed significantly,and the grassland ecological space was always the dominant type,accounting for about 60%.2)The landscape ecological risk was characterized by"low in the center and high in the periphery",and the overall ecological risk level was medium.3)The Moran's I index of spatial autocorrelation was greater than 0.7 and continued to rise,indicating strong spatial positive correlation and aggregation characteristics.4)The coupling coordination degree of landscape ecological security in the"three living spaces"in Fugu County was mainly high and moderate coordination areas,although the coordination area increased,but the moderate and severe imbalance areas still existed.The results showed that the landscape type transition and socio-economic development had an important impact on the evolution of landscape ecological risk and the coupling coordination of the three living spaces in Fugu County.Therefore,Fugu County needs to strengthen the coordinated governance of urban agglomerations,improve the efficiency of intensive land use,implement strict environmental protection policies and other measures,so as to ensure the sustainable and healthy development of the economy and society,and achieve the goal of effective protection of the ecological environment and coordinated regional development.
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万方数据
