Evaluation for the spatiotemporal patterns of ecological vulnerability and habitat quality: implications for...

Currently, the rapid socioeconomic development and urbanization around the world have caused the ecological environment on the earth surface to become extremely fragile and destroyed. In addition, the increasing demand of human beings for material also leads to the unsustainable development of resources and environment. However, how to achieve the win-win goal between socioeconomic development and ecological protection in the context of these impacts? It is becoming a major problem for governments and policy makers. To further reveal the contradiction between man and land, taking Wuhan metropolitan area as the study area, this study mainly proposed a framework for the comprehensive optimization of landscape pattern and ecological environment and constructed the ecological vulnerability mixed evaluation model. Then, the integrated valuation of ecosystem services and trade-offs (InVEST) model was employed to evaluate the changes in habitat quality, focusing on the analysis of the impact mechanism of the evolution of ecological environment. This study found that the hybrid model of landscape vulnerability can successfully explore the landscape ecological vulnerability of Wuhan metropolitan area from 2000 to 2020, and its spatiotemporal differentiation pattern was obvious. The InVEST model showed that the habitat quality had obvious spatial differentiation. On the whole, the overall quality of the habitat was low and the degradation degree was high. Furthermore, our study also showed that the change of landscape ecological environment was influenced by the common potential of local nature and social economy, rather than a single factor. Finally, the main purpose of this study is to help scientifically formulate habitat protection and landscape planning strategies through in-depth study of landscape ecological environment, so as to alleviate man-land contradiction and support regional sustainable development.