Research Article
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Article title
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Abstract
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Keywords
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1. Introduction
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2 Materials and methods
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2.1. Study area
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2.2. Data sources and pre-processing
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2.3. Methods
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2.3.1. Habitat quality (HQ) evaluation
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2.3.2. Selection of impact factors
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2.3.3. Grid analysis
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2.3.4. Construct the spatial weight matrix
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2.3.5. Bivariate spatial autocorrelation
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2.3.6. Geodetector
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3. Results
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3.1. Spatial distribution and dynamics of HQ
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3.2. Spatial autocorrelation analysis of HQ and different impact factors
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3.2.1. Global autocorrelation
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3.2.2. Local autocorrelation
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3.3. Driving force analysis of different impact factors
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4. Discussion
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4.1. Mechanisms influencing changes in HQ distribution
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4.1.2. Changes in the correlation between different indicators and HQ
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4.2. Policy’s driver and suggestions for urban planning
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4.3. Limitation
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5. Conclusions
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Data availability statement
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Acknowledgments
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References
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Appendix 1
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Appendix 2
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Appendix 3
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Supplementary material