Evaluation of Habitat Quality in Karst Mountainous Areas of Guanling County Based on InVEST and MGWR Models

Shuanglong Du, Zhongfa Zhou (), Denghong Huang, Fei Dong, Xiandan Du, Yining Luo, Qingqing Dai and Yue Yang
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Shuanglong Du: School of Karst Science, Guizhou Normal University, Guiyang 550001, China
Zhongfa Zhou: School of Karst Science, Guizhou Normal University, Guiyang 550001, China
Denghong Huang: School of Karst Science, Guizhou Normal University, Guiyang 550001, China
Fei Dong: School of Karst Science, Guizhou Normal University, Guiyang 550001, China
Xiandan Du: School of Karst Science, Guizhou Normal University, Guiyang 550001, China
Yining Luo: School of Karst Science, Guizhou Normal University, Guiyang 550001, China
Qingqing Dai: School of Karst Science, Guizhou Normal University, Guiyang 550001, China
Yue Yang: School of Karst Science, Guizhou Normal University, Guiyang 550001, China

Land, 2025, vol. 14, issue 7, 1-22

Abstract: As a core karst region in Southwest China, Guanling County plays a crucial role in regional ecological governance. This study integrates the InVEST model, landscape pattern index analysis, and the MGWR spatial model to systematically explore the dynamic mechanisms of habitat quality in Guanling’s karst mountains. Key findings include: (1) Landscape pattern alterations exhibit significant impacts on habitat quality, characterized by strong spatial heterogeneity; (2) Expansion of forest and grassland effectively buffers the negative effects of construction land expansion, forming an ecological compensation mechanism through enhanced landscape connectivity; (3) Between 2000 and 2020, the proportion of high-importance habitat quality zones increased from 54.79% to 56.16%, with moderate-importance zones stabilizing at approximately 7.80% and general-importance zones growing to 2.46%. The results provide a multi-scale analytical framework for habitat protection and land use optimization in fragile karst ecosystems.

Keywords: guanling county; karst mountainous area; habitat quality; landscape pattern index; MGWR model; InVEST model (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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