Zheng-Long Yan, Fan Gao, Bing He, Lu Wang, Fang-Hong Han
{"title":"[Spatiotemporal Changes and Influencing Factors of Habitat Quality in the Weihe River Basin from 1990 to 2020].","authors":"Zheng-Long Yan, Fan Gao, Bing He, Lu Wang, Fang-Hong Han","doi":"10.13227/j.hjkx.202406256","DOIUrl":null,"url":null,"abstract":"<p><p>Evaluating habitat quality can be useful in determining how economic development and biodiversity conservation relate to one another. The habitat quality module of the InVEST model was used in this study, which was based on land use data from four periods: 1990, 2000, 2010, and 2020. The study area was divided into three units: cold spots, hot spots, and random, using spatial autocorrelation and Getis-Ord <i>G<sub>i</sub></i><sup>*</sup> analysis. Geodetectors were used to analyze the effects of elevation, slope, population density, GDP, precipitation, air temperature, and other factors, and geoprobes were used to examine the impacts of terrain, human activity, and meteorological conditions on the habitat quality in the Weihe River Basin. The results showed that the overall trend of habitat quality in the study area was increasing and that most of the areas were in excellent condition during 1990, 2000, 2010, and 2020. Spatially, the habitat quality was higher at the northern and southern edges of the watershed and lower around the city. Habitat quality in the study area was spatially heterogeneous, with population density and GDP being the main drivers of habitat quality in the cold spots, precipitation and elevation serving as the main drivers in the hot spots, and topography, human activities, and meteorology serving this role in the insignificant areas. Moreover, the interaction among two factors increased the impact on the change of regional habitat quality in the different areas in the four years. The results of this study provide an objective basis to support the evolution of regional ecological environment quality.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 9","pages":"5850-5860"},"PeriodicalIF":0.0000,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"环境科学","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.13227/j.hjkx.202406256","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Environmental Science","Score":null,"Total":0}
引用次数: 0
Abstract
Evaluating habitat quality can be useful in determining how economic development and biodiversity conservation relate to one another. The habitat quality module of the InVEST model was used in this study, which was based on land use data from four periods: 1990, 2000, 2010, and 2020. The study area was divided into three units: cold spots, hot spots, and random, using spatial autocorrelation and Getis-Ord Gi* analysis. Geodetectors were used to analyze the effects of elevation, slope, population density, GDP, precipitation, air temperature, and other factors, and geoprobes were used to examine the impacts of terrain, human activity, and meteorological conditions on the habitat quality in the Weihe River Basin. The results showed that the overall trend of habitat quality in the study area was increasing and that most of the areas were in excellent condition during 1990, 2000, 2010, and 2020. Spatially, the habitat quality was higher at the northern and southern edges of the watershed and lower around the city. Habitat quality in the study area was spatially heterogeneous, with population density and GDP being the main drivers of habitat quality in the cold spots, precipitation and elevation serving as the main drivers in the hot spots, and topography, human activities, and meteorology serving this role in the insignificant areas. Moreover, the interaction among two factors increased the impact on the change of regional habitat quality in the different areas in the four years. The results of this study provide an objective basis to support the evolution of regional ecological environment quality.