2022
DOI: 10.3390/land11050630
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Interactive Effects on Habitat Quality Using InVEST and GeoDetector Models in Wenzhou, China

Abstract: Global urbanisation has accelerated in recent years, especially in rapidly growing coastal cities, and the destruction of habitat and natural resources has intensified. Although much attention has been paid to the study of habitat quality, there are still gaps in our understanding of the factors that influence it and their interactions. In this study, the InVEST habitat quality evaluation model and the GeoDetector model were used to construct a framework for analysing the dynamic changes in habitat quality and… Show more

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Cited by 28 publications
(18 citation statements)
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“…For example, urban expansion significantly disrupted the natural habitat, leading to habitat fragmentation and degradation 24 – 26 . Besides, natural environment (topography, climate) and land use type also significantly influence the change of habitat quality 27 29 . The influences of such natural factors are relatively fixed, while land use categories are affected by a wide range of human activities.…”
Section: Introductionmentioning
confidence: 99%
“…For example, urban expansion significantly disrupted the natural habitat, leading to habitat fragmentation and degradation 24 – 26 . Besides, natural environment (topography, climate) and land use type also significantly influence the change of habitat quality 27 29 . The influences of such natural factors are relatively fixed, while land use categories are affected by a wide range of human activities.…”
Section: Introductionmentioning
confidence: 99%
“…For example, the expansion of urban construction has severely damaged natural habitat, leading to biodiversity loss 26,27 . In addition, natural factors (altitude, slope, climate) and land use type also significantly influence changes in HQ 28,29 . Therefore, determining the factors that influence HQ can provide a basic information for biodiversity maintenance, improvement of the ecological environment, and enhancement of ecosystem service functions 30 .…”
Section: Introductionmentioning
confidence: 99%
“…To measure the HQ of Chinese provinces, Fu [ 6 ] chose 12 indicators, such as soil erosion, land salinization, and solid waste contamination. However, the laborious processes of field sampling and field surveys make it challenging to apply the indicator assessment method to large-scale HQ assessments [ 7 ]. Model evaluation has increasingly grown in importance as a research method for HQ due to the maturity of technical instruments such as remote sensing systems and the quick development of HQ assessment models [ 8 , 9 ].…”
Section: Introductionmentioning
confidence: 99%