Research on the Driving Factors and Trade-Offs/Synergies of Woodland Ecosystem Services in Zhangjiajie City, China DOI Open Access

S. Zhao,

Wei Zeng, Qian Yang

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 3916 - 3916

Published: April 26, 2025

Research on woodland ecosystem services is the premise of formulation regional policies and ecological protection measures in a new round utilization planning. Based remote-sensing images socioeconomic data, this study used InVEST model, geographical detectors, Spearman correlation analysis, coupling coordination degree model to evaluate spatiotemporal changes, driving factors, trade-off/synergies relationship habitat quality (HQ), soil conservation (SC), water (WC), carbon storage (CS) Zhangjiajie City 1995, 2005, 2015, 2022. The results show following: (1) HQ significantly decreased, SC WC fluctuated CS continued increase. (2) Natural factors were predominant, other natural interact increase effect. (3) four dominated by weak synergy, but turned into trade-offs These research can provide theoretical support for optimization tourism development compensation policies, high-quality sustainable City, case management world heritage sites.

Language: Английский

Research on the Driving Factors and Trade-Offs/Synergies of Woodland Ecosystem Services in Zhangjiajie City, China DOI Open Access

S. Zhao,

Wei Zeng, Qian Yang

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 3916 - 3916

Published: April 26, 2025

Research on woodland ecosystem services is the premise of formulation regional policies and ecological protection measures in a new round utilization planning. Based remote-sensing images socioeconomic data, this study used InVEST model, geographical detectors, Spearman correlation analysis, coupling coordination degree model to evaluate spatiotemporal changes, driving factors, trade-off/synergies relationship habitat quality (HQ), soil conservation (SC), water (WC), carbon storage (CS) Zhangjiajie City 1995, 2005, 2015, 2022. The results show following: (1) HQ significantly decreased, SC WC fluctuated CS continued increase. (2) Natural factors were predominant, other natural interact increase effect. (3) four dominated by weak synergy, but turned into trade-offs These research can provide theoretical support for optimization tourism development compensation policies, high-quality sustainable City, case management world heritage sites.

Language: Английский

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