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Integrating CVOR-GWLR-Circuit model into construction of ecological security pattern in Yunnan Province, China

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Abstract

In the traditional construction of ecological security pattern, the minimum cost path is extracted as the ecological corridor based on the minimum cumulative resistance model, and the ecological nodes are identified manually. This method lacks the consideration of the exchange process of energy flow and information flow in the ecological process, resulting in a certain lack of ecological security pattern in structure and function. Therefore, an ecological security pattern construction method integrating CVOR-GWLR-Circuit model is proposed to solve the above problems by transforming natural background data into localized correction variables and adding them to the ecological security pattern evaluation model. Taking Yunnan Province as an example, firstly, the ecological security evaluation system of “Contribution, Vigor, Organization, Resilience” (CVOR) is constructed based on the importance of ecosystem services and ecosystem health, and the ecological security of Yunnan Province in 2020 is evaluated, and the ecological source areas are identified combined with nature reserves. Then, the ecological resistance surface was constructed by considering land use data and topographic factors, and the landslide sensitivity evaluation model was constructed based on geographically weighted logistic regression model (GWLR) to correct the basic resistance surface. Finally, the circuit theory model is used to extract the ecological corridor and construct the ecological security pattern in Yunnan Province. The ecological pinch points and barriers in the ecological corridor are diagnosed by the current density, so as to identify the width of the ecological corridor and identify the key areas of ecological protection and restoration. The results showed that the ecological sources area of Yunnan Province was about 69,417.78 km2, accounting for 17.6% of the total area of the study area, mainly distributed in Dehong Prefecture, southwest Yunnan, Diqing Prefecture and Nujiang Prefecture in northwest Yunnan. A total of 780 ecological corridors were generated between the ecological sources, with a total length of about 197,598.2 km, an average length of 253.3 km, and the longest path length of 932.1 km. The ecological corridors are “spider web”, linking southwest, northwest, northeast, central and southeast Yunnan Province. 36 ecological pinch points and 42 ecological barriers were identified. The research results verify that the ecological security pattern constructed by integrated CVOR-GWLR-Circuit model is more reasonable, which can provide scientific basis for regional ecological protection planning and ecological corridors design.

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Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

The authors are very grateful to the editor and anonymous reviewers for their valuable comments and helpful suggestions.

Funding

This research was funded by the National Natural Science Foundation of China (grant number 42161065, 41461038), Yunnan Province Science and Technology Fundamental Special Key Project (grant number 202001AS070032), Yunnan Province Young and Middle-aged Academic and Technical Leaders Reserve Talent Project (grant number 202105AC160059).

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Conceptualization, L.J., Q.X., J.Y. and X.Z.; methodology, L.J, X.Z and J.Y.; software, L.J. and X.Z.; validation, L.J., Q.X. and J.Y.; formal analysis, L.J. and Q.X.; investigation, L.J. and J.Y.; resources, Q.X.; data curation, L.J. and X.Z.; writing—original draft preparation, L.J.; writing—review and editing, Q.X. and J.Y.; visualization, L.J. and X.C.; supervision, Q.X. and J.Y.; funding acquisition, Q.X. and J.Y.; All authors have read and agreed to the published version of the manuscript.

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Correspondence to Quanli Xu.

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Jin, L., Xu, Q., Yi, J. et al. Integrating CVOR-GWLR-Circuit model into construction of ecological security pattern in Yunnan Province, China. Environ Sci Pollut Res 29, 81520–81545 (2022). https://doi.org/10.1007/s11356-022-21421-5

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