246 / 2023-09-29 23:24:03

Impacts of landscape patterns on habitat quality in coal resource-exhausted cities: a spatial-temporal dynamic analysis highlighting scale effects

Landscape patterns; Habitat quality; Resource-exhausted cities; MGTWR model; Jiawang

Within the context of rapid urbanization, the relationship between landscape patterns and habitat quality has become a key research topic. This line of investigation holds significant implications for ecosystem management and spatial planning, as it pertains to the advancement of sustainable urban development. However, the dynamics between coal resource-based cities, particularly in the aftermath of resource exhaustion, may exhibit distinct characteristics that have not been adequately explored in the existing body of study. This study selects Jiawang, a typical coal resource-exhausted city in eastern China, as a case study. It aims to thoroughly investigate the correlation between landscape patterns and habitat quality in Jiawang from 2000 to 2020. In order to comprehensively understand the variability of this relationship across space and time, we utilized the multiscale spatiotemporal geographically weighted regression (MGTWR) model. In comparison to conventional models, the MGTWR model offers a more accurate assessment of the influence of changes in landscape metrics on habitat quality at various temporal and spatial scales. The results indicate that the landscape patterns and habitat quality demonstrate noteworthy spatiotemporal non-stationary characteristics. The MGTWR model provides additional insights into the spatial and temporal variations of each landscape metric in relation to habitat quality. Specifically, it highlights the significance of small-scale local heterogeneity in spatial patterns, while the temporal heterogeneity remains generally consistent throughout shorter time intervals. The results of the research contribute to the development of sustainable regeneration methods for cities confronted with difficulties related to resource depletion.