Spatial and Temporal Dynamics and Multi-Scenario Forecasting of Habitat Quality in Gansu–Qinghai Contiguous Region of the Upper Yellow River

Xuan Zhang, Huali Tong (), Ling Zhao, Enwei Huang and Guofeng Zhu
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Xuan Zhang: College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
Huali Tong: College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
Ling Zhao: College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
Enwei Huang: College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
Guofeng Zhu: College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China

Land, 2024, vol. 13, issue 7, 1-19

Abstract: Human activities exert a profound influence on land use and land cover, and these changes directly influence habitat quality and ecosystem functioning. In the Gansu–Qinghai contiguous region of the upper Yellow River, habitat quality has undergone substantial transformations in recent years due to the synergistic impacts of natural processes and human intervention. Therefore, evaluating the effects of land use changes on habitat quality is crucial for advancing regional sustainable development and improving the worth of ecosystem services. In response to these challenges, we devised a two-pronged approach: a land use simulation (FLUS) model and an integrated valuation of ecosystem services and trade-offs (InVEST) model, leveraging remote sensing data. This integrated methodology establishes a research framework for the evaluation and simulation of spatial and temporal variations in habitat quality. The results of the study show that, firstly, from 1980 to 2020, the habitat quality index in the Gansu–Qinghai contiguous region of the upper Yellow River decreased from 0.8528 to 0.8434. Secondly, our predictions anticipate a decrease in habitat quality, although the decline is not pronounced across all scenarios. The highest habitat quality values were projected under the EP (Ecology Priority) scenario, followed by the CLP (Cultivated Land Priority) scenario, while the BAU (Business as Usual) scenario consistently yielded the lowest values in all three scenarios. Finally, the ecological land, including forest land and grassland, consistently occupied areas characterized by high habitat quality. In contrast, Construction land consistently appeared in regions associated with low habitat quality. The implementation of conservation measures emerges as a crucial strategy, effectively limiting the expansion of construction land and promoting the augmentation of forest land and grassland cover. This approach serves to enhance overall habitat quality. These outcomes furnish a scientific foundation for the judicious formulation of future land-use policies and ecological protection measures.

Keywords: habitat quality; land use change; scenario forecasting; FLUS-InVEST model; the Gansu–Qinghai contiguous region of the upper Yellow River (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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