Spatiotemporal Evolution of Habitat Quality and Scenario Modeling Prediction in the Tuha Region

Junxia Wang, Abudukeyimu Abulizi (), Yusuyunjiang Mamitimin, Kerim Mamat, Le Yuan, Shaojie Bai, Tingting Yu, Adila Akbar, Xiaofen Zhang and Fang Shen
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Junxia Wang: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
Abudukeyimu Abulizi: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
Yusuyunjiang Mamitimin: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
Kerim Mamat: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
Le Yuan: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
Shaojie Bai: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
Tingting Yu: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
Adila Akbar: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
Xiaofen Zhang: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
Fang Shen: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China

Land, 2024, vol. 13, issue 7, 1-20

Abstract: In recent years, increasing urbanization has profoundly impacted the quality of regional habitats, presenting a severe risk to the ability of a region to develop in a high-quality manner. Therefore, the scientific assessment of the features of habitat quality (HQ) evolution over time and space and the prediction of future trends in changes in the HQ are of great significance for the formulation of effective ecological protection policies. Based on five periods of land use and land cover (LULC) data from 2000 to 2020, InVEST model was used to estimate both geographical and chronological trends in the HQ in the Tuha region, China. Spatial autocorrelation analysis methods were used to assess HQ and spatial aggregation of habitat degradation, and ecological zoning was delineated in conjunction with the Human Footprint Index (HFI). Based on the results of ecological zoning, the study predicted changes in habitat quality (HQ) in 2040 under three scenarios: natural development (ND), ecological preservation (EP), and urban development (UD) by applying the Patch-Generating Land Use Simulation (PLUS) model. The results demonstrated that (1) from 2000 to 2020, the habitat quality in the Tuha region exhibited a downward trend, with the proportion of low HQ increasing from 83.63% to 84.24%. Spatially, high habitat quality (HQ) is mainly concentrated in the Tianshan Mountains. From 2000 to 2020, the Moran index for habitat quality (HQ) decreased from 0.967 to 0.959, while the Moran index for habitat degradation declined from 0.805 to 0.780. The habitat quality (HQ) and degradation exhibit significant spatial aggregation, and the degree of degradation has increased incrementally. (2) From 2000 to 2020, human activities in the Tuha area increased continuously and were mainly concentrated in Tuha district and counties. The proportion of high Human Footprint Index (HFI) increased from 0.66% to 1.32%, while the proportion of medium HFI increased from 3.13% to 7.46%. (3) The expansion of urbanized land has exacerbated habitat degradation. The proportion of high HQ in the EP scenario is higher than that in ND and UD scenario. The results show that the ecological protection scenario is more conducive to the sustainable development of habitat quality in the Tuha region. The results can provide a scientific basis for ecological management and protection in the Tuha area.

Keywords: Tuha region; habitat quality; ecological zoning; InVEST model; PLUS model (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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