Landscape ecological risk identification and optimization strategy of Haikou City based on “source-sink” theory coupled with PLUS model

Landscape ecological risk identification and optimization strategy of Haikou City based on “source-sink” theory coupled with PLUS model
発表者/presenter’s name:〇Qing Zhang 1, Hui Fu 1, Shengtian Chen 1
所属/Affiliation:1 School of Tropical Agriculture and Forestry, Hainan University

要旨/Abstract

With the advancement of the development strategy of Hainan Island Free Trade Port, the game between the natural ecological maintenance and urban and rural construction and development of the whole island is becoming more and more prominent, the urban ecological pressure is gradually increasing, the risk of rain and flood disasters is significant, and the urban landscape pattern is closely related to the ecological process. The optimization of“source- sink flow” landscape pattern provides the possibility to avoid landscape ecological risks.Based on the theory of “source-sink”, this study identified the spatial ecological elements of“source- sink flow” landscape in Haikou City in three periods, and explored the evolution characteristics of“source-sink flow” landscape in 10 years. Based on the PLUS model, the landscape pattern of “source- sink flow” in Haikou in 2030 is predicted and analyzed, and then the risk area of rain and flood disaster is extracted, and the planning strategy of “source- sink flow” landscape is proposed. The results showed that: 1 Haikou City was dominated by“source” landscape, followed by the increasing“source” landscape. The dynamic degree of“source” landscape was as high as 5.90 %, and the growth part was mainly transformed by“sink ” landscape. The“flow” landscape first decreases and then increases. 2 Under the simulation of natural development scenarios, the“source” landscape showed an increasing trend from 2020 to 2030, and the area ratio increased to about 20 %. The“source” landscape decreased year by year, and the“flow” landscape tended to be saturated and the dynamic degree fell to 2.26 %.

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