Exploration of the multi-scenario spatiotemporal evolution, trade-off and synergy relationships, and driving factors of ecosystem services in Henan Province, China, under the background of land use change DOI Creative Commons
Yunwei Sun, Qi Ma, Weiye Wang

et al.

Frontiers in Ecology and Evolution, Journal Year: 2025, Volume and Issue: 13

Published: April 7, 2025

Introduction Ecosystem services (ESs) assessment plays a significant role in managing ecological resources. From the perspective of land use, this research aims to uncover complex interdependence between ESs and their key drivers clarify optimize function zoning region. Methods This focuses on Henan Province China, quantifying five ESs, namely, carbon storage (CS), habitat quality (HQ), soil conservation (SC), water (WC), yield (WY), assessing interactions from 2000 2020 2035. Moreover, study explores social - driving factors influencing these ESs. Finally, it classifies types ecosystem service bundles (ESBs). Results (1) 2020, use evolution was characterized by large expansion construction land, continuous decrease cultivated area, relatively stable changes other types. In protection (EP) scenario 2035, area decreased most, forest increased slightly. CS HQ showed trend degradation, while SC, WY, WC first fluctuated then increased. (2) The synergistic relationship each main one, among which WC-WY, CS-HQ HQ-SC relationships, CS-WC HQ-WC change trade-off relationship, were mainly relationships. Meanwhile, most B4 central part region dominated, rest volatility. (3) Elevation slope are dominant restricting spatiotemporal distribution CS, HQ, SC. Temperature precipitation primary conditions affecting differentiation WY WC. interaction topographic climatic has greater impact than single factor. Discussion conclusion, during period there spatio-temporal heterogeneity various functions Province. Approaches such as exploring relationships different ecosystems classifying clusters, discussing potential can provide references for territorial space governance environment

Language: Английский

Assessment and driving mechanisms for the supply–demand of ecosystem services in the central plains urban agglomeration, China: A water-soil-food-carbon nexus perspective DOI Creative Commons

Yichen Fang,

Lianhai Cao,

Qi-jie Tang

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113218 - 113218

Published: Feb. 1, 2025

Language: Английский

Citations

0
Longitudinal path analysis of ecosystem water yield effects and its driving forces in the upper Yangtze River basin DOI Creative Commons
Hongxiang Wang, Jiaqi Lan, Lintong Huang

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 172, P. 113273 - 113273

Published: Feb. 22, 2025

Language: Английский

Citations

0
Exploration of the multi-scenario spatiotemporal evolution, trade-off and synergy relationships, and driving factors of ecosystem services in Henan Province, China, under the background of land use change DOI Creative Commons
Yunwei Sun, Qi Ma, Weiye Wang

et al.

Frontiers in Ecology and Evolution, Journal Year: 2025, Volume and Issue: 13

Published: April 7, 2025

Introduction Ecosystem services (ESs) assessment plays a significant role in managing ecological resources. From the perspective of land use, this research aims to uncover complex interdependence between ESs and their key drivers clarify optimize function zoning region. Methods This focuses on Henan Province China, quantifying five ESs, namely, carbon storage (CS), habitat quality (HQ), soil conservation (SC), water (WC), yield (WY), assessing interactions from 2000 2020 2035. Moreover, study explores social - driving factors influencing these ESs. Finally, it classifies types ecosystem service bundles (ESBs). Results (1) 2020, use evolution was characterized by large expansion construction land, continuous decrease cultivated area, relatively stable changes other types. In protection (EP) scenario 2035, area decreased most, forest increased slightly. CS HQ showed trend degradation, while SC, WY, WC first fluctuated then increased. (2) The synergistic relationship each main one, among which WC-WY, CS-HQ HQ-SC relationships, CS-WC HQ-WC change trade-off relationship, were mainly relationships. Meanwhile, most B4 central part region dominated, rest volatility. (3) Elevation slope are dominant restricting spatiotemporal distribution CS, HQ, SC. Temperature precipitation primary conditions affecting differentiation WY WC. interaction topographic climatic has greater impact than single factor. Discussion conclusion, during period there spatio-temporal heterogeneity various functions Province. Approaches such as exploring relationships different ecosystems classifying clusters, discussing potential can provide references for territorial space governance environment

Language: Английский

Citations

0