基于多情景模拟的洞庭湖流域LUCC与生境质量耦合演变分析

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Abstract The Dongting Lake Basin is located in the south of the middle reaches of the Yangtze River and the north of Nanling Mountains, China. It is an important agricultural production base in China, with many priority areas for biodiversity conservation. The prime idea of multi-scenario simulation is to explore the characteristics of the coupling coordination between land use and land cover change (LUCC) and habitat quality under different scenarios. Five scenarios were proposed, which are natural development (Scenario 1), rapid development (Scenario 2), cultivated land protection (Scenario 3), ecological protection (Scenario 4) and sustainable development (Scenario 5). The PLUS model and InVEST model are used to respectively simulate the land use change and habitat quality under five different scenarios in 2030. The results show that: 1) Simulation results of land use change basically meet the requirements of scenario setting, which can better reflect the evolution rule and land-use planning goals; 2) The habitat quality in 2030 varies in the following order: Scenario 4 > Scenario 5 > Scenario 3 > Scenario 1 > Scenario 2; 3) The coupling coordination in Scenario 1, Scenario 2 and Scenario 3shows a downward trend, among which, the decline of Scenario 3is the highest; while that of Scenario 4 and Scenario 5 demonstrates an upward trend, among which, the increase of Scenario 4is higher than that of Scenario 5). 4) Combined with the principle of scenario setting, Scenario 5 provides an insight to the feasibility of planning and development for the optimization of spatial patterns of coupling coordinated development of LUCC and habitat quality in the Dongting Lake Basin.

Key words： land use change habitat quality coupling evolution multi-scenario simulation the Dongting Lake Basin

Received: 15 July 2022

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X171.1

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	YANG Ling
	WANG Jin-long
	ZHOU Wen-qiang

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YANG Ling,WANG Jin-long,ZHOU Wen-qiang. Coupling evolution analysis of LUCC and habitat quality in Dongting Lake Basin Based on multi-scenario simulation[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(2): 863-873.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/I2/863

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