Impact of Habitat Quality Changes on Regional Thermal Environment: A Case Study in Anhui Province, China

Guanjin Zhang and Ling Quan ()
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Guanjin Zhang: College of Resource and Environment, Anhui Science and Technology University, Chuzhou 233100, China
Ling Quan: College of Resource and Environment, Anhui Science and Technology University, Chuzhou 233100, China

Sustainability, 2024, vol. 16, issue 19, 1-18

Abstract: Biodiversity degradation and loss represent critical global challenges, primarily driven by the urban heat island effect, which results from elevated surface temperatures. As urbanization and climate change continue to progress, these phenomena have a profound impact on both habitats and human residential environments. This study focuses on Anhui Province as a case study to systematically investigate the effects of changes in habitat quality (HQ) on the evolution of the regional thermal environment. The objective is to provide a scientific basis for addressing regional thermal environment issues and promoting biodiversity conservation. This paper employs the InVEST-HQ model to analyze HQ in Anhui Province from 2000 to 2020 and integrates surface temperature data to assess the response of HQ changes to variations in the regional thermal environment. The results show that: (1) From 2000 to 2020, the HQ index in Anhui Province exhibited a general decline, characterized by pronounced spatial heterogeneity, with lower values observed in the northern regions and higher values in the southwestern and southern areas. (2) Concurrently, the relative surface temperature in Anhui Province continued to rise, particularly in central urban areas such as Hefei, where the increase in impermeable surfaces has facilitated the expansion of high-temperature zones. (3) Different types of HQ had distinctly varying effects on regional thermal environments: habitats classified as poor HQ or worse HQ were associated with noticeable warming effects, while those categorized as good HQ or excellent HQ exhibited significant cooling effects. (4) The contribution index of varying HQ to relative surface temperature ranged from −0.2 to 0.3, indicating that poor HQ and worse HQ positively contributed to regional thermal environments, whereas good HQ and excellent HQ exerted a negative contribution. City-level analyses revealed that cities such as Suzhou, Chizhou, Wuhu, Anqing, Xuancheng, and Lu’an were associated with positive contributions to relative surface temperature, while cities including Bengbu, Fuyang, Chuzhou, Huaibei, Tongling, Ma’anshan, and Hefei demonstrated negative contributions. This study provides valuable insights for optimizing the spatial distribution of urban cold islands and promoting ecological sustainable development.

Keywords: habitat quality; surface temperature; InVEST model; land use; spatiotemporal variation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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