Identification of Ecological Functional Areas and Scenario Simulation Analysis of the Wanjiang Urban Belt from a Trade-Off/Synergy Perspective DOI Creative Commons
Yuchun Wang,

Yvonne Ang,

Yingying Zhang

и другие.

Land, Год журнала: 2025, Номер 14(3), С. 444 - 444

Опубликована: Фев. 20, 2025

Identifying ecological functional areas by clarifying the trade-off synergies of multiple ecosystem services to meet practical needs coordinating different in a specific region is highly important. Based on InVEST, RUSLE and other models, this study analyzed tradeoff five typical Wanjiang Urban Belt from 1990 2020 using Pearson correlation analysis, self-organizing map (SOM) carried out zoning. The PLUS model was used simulate evolution zones 2030. results revealed that (1) 2020, water yield (WY), soil reservation (SR), food production (FP) increased, whereas carbon storage (CS) habitat quality (HQ) decreased. value showed pattern “high south low north”. (2) WY–SR, WY–HQ, HQ–CS, HQ–SR were synergistic, synergistic relationship weakening trend. There trade-offs WY–CS, WY–FP, SR–FP, effects increased with time. (3) area divided into an transition area, conservation urban development restoration agroecological functions structures each cluster significantly differed. (4) Under natural scenario, scales transition, conservation, increased. cropland protection began transform areas. transfer restoration, In conclusion, are dominated effects, but there potential risk shifting relationships. future, targeted regional optimization measures according status zone urgently needed provide references for territorial space management control region.

Язык: Английский

Identification of Ecological Functional Areas and Scenario Simulation Analysis of the Wanjiang Urban Belt from a Trade-Off/Synergy Perspective DOI Creative Commons
Yuchun Wang,

Yvonne Ang,

Yingying Zhang

и другие.

Land, Год журнала: 2025, Номер 14(3), С. 444 - 444

Опубликована: Фев. 20, 2025

Identifying ecological functional areas by clarifying the trade-off synergies of multiple ecosystem services to meet practical needs coordinating different in a specific region is highly important. Based on InVEST, RUSLE and other models, this study analyzed tradeoff five typical Wanjiang Urban Belt from 1990 2020 using Pearson correlation analysis, self-organizing map (SOM) carried out zoning. The PLUS model was used simulate evolution zones 2030. results revealed that (1) 2020, water yield (WY), soil reservation (SR), food production (FP) increased, whereas carbon storage (CS) habitat quality (HQ) decreased. value showed pattern “high south low north”. (2) WY–SR, WY–HQ, HQ–CS, HQ–SR were synergistic, synergistic relationship weakening trend. There trade-offs WY–CS, WY–FP, SR–FP, effects increased with time. (3) area divided into an transition area, conservation urban development restoration agroecological functions structures each cluster significantly differed. (4) Under natural scenario, scales transition, conservation, increased. cropland protection began transform areas. transfer restoration, In conclusion, are dominated effects, but there potential risk shifting relationships. future, targeted regional optimization measures according status zone urgently needed provide references for territorial space management control region.

Язык: Английский

Процитировано

2