Identifying the Key Protection Areas of Alpine Marsh Wetlands in the Qinghai Qilian Mountains, China: An Ecosystem Patterns–Characteristics–Functions Combined Method DOI Creative Commons
Lei Wang, Xufeng Mao,

Hongyan Yu

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2115 - 2115

Published: Dec. 6, 2024

The alpine marsh wetlands in the Qilian Mountains of Qinghai (QMQ) are under constant threat from effects climate change and human activities. Identifying key ecological protection areas (KEPAs) is prerequisite for formulating strategies executing spatial planning programs. current study developed a novel method to identify KEPAs by following ecosystem pattern–characteristics–functions (EPCFs) combined source–ecological corridor–ecological node research paradigm. More specifically, an evaluation system resistance was constructed integrating drivers EPCFs wetlands. Additionally, wetland degradation disturbances were analyzed through incorporated with field survey. findings indicated following: (1) had total water yield approximately 3.96 × 108 m3. soil conservation rate habitat quality per unit area calculated be 52.92 t·hm−2·a−1 0.992, respectively, higher values observed on southern bank lower northern river QMQ. (2) covered extent 996.53 km2 QMQ, encompassing 40 sources, 39 corridors, nodes, predominantly located source regions. (3) restructured into framework comprising two axes, four belts, cores, multiple nodes In response factors contributing wetlands, adaptive measures including prioritizing natural restoration, modifying grazing strategies, restoration projects as minimum, designating protected have been recommended. This could contribute enhancing efficiency regional territorial offer theoretical foundation improving

Language: Английский

A Prediction–Interaction–Driving Framework for Ecosystem Services Under Climate Change and Human Activities: A Case Study of Zoigê County DOI Creative Commons
Wanting Zeng, Li He, Zhengwei He

et al.

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 441 - 441

Published: Feb. 20, 2025

Under climate change and human activities, ecosystem service (ES) research lacks systematic approaches scientific depth. This study develops a comprehensive framework integrating advanced models to predict ESs, analyze interactions, identify key drivers, assess spatial effects on the Zoigê Plateau. The results indicate following: (1) From 2000 2020 across three 2040 scenarios, water conservation (WC) improves, while carbon storage (CS) habitat quality (HQ) decline, leading overall ES degradation. Core areas face rising degradation risks from 9% 29% under increasing environmental stress (SSP119 SSP585). (2) importance follows HQ > CS SC WC, with bivariate interactions outperforming single-factor effects. Future scenarios show weakened correlating higher ecological stress, indicating stability risks. (3) Land use (>40% explanatory power) is primary driver, urban expansion, slope, evapotranspiration, precipitation contribute (6–12%). (4) drivers showed weak patterns but became more stable future suggesting stronger control. provides methodological paradigm for analysis supports planning in alpine wetland–grassland regions.

Language: Английский

Citations

1
Interactions and Driving Force of Land Cover and Ecosystem Service Before and After the Earthquake in Wenchuan County DOI Open Access
Jintai Pang, Li He, Zhengwei He

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 3094 - 3094

Published: March 31, 2025

The Wenchuan earthquake, an unexpected magnitude 8.0 mega-earthquake that struck on 12 May 2008, significantly changed land cover (LC), particularly affecting vegetation and rock cover. However, the long-term effects of LC changes ecosystem services (ESs) remain unclear in earthquake-affected regions, especially across different spatial scales. This study, focusing County, employs a multi-model framework integrates fractional coverage (FVC), exposure rate (FR), (ESs), combining correlation analysis, geographically weighted regression (GWR), Self-organizing map (SOM) clustering, XGBoost-SHAP model, to analyze spatiotemporal dynamics, interrelationships, driving mechanisms (LC) ESs before after earthquake. Results show that: (1) From 2000 2020, FVC FR fluctuated markedly under earthquake influence, with slight declines habitat quality (HQ) carbon storage (CS) notable improvements soil conservation (SC) water yield (WY). (2) With increasing elevation, FVC–CS–SC group exhibited downward trend synergy, while FR–HQ–WY increased also showed synergy; trade-offs synergies became more pronounced at larger scales, displaying strong heterogeneity. (3) Elevation (explaining 10–60% variance) was main driver for ESs, use, slope, human activities, climate, geological conditions impacting individual indicators. At same time, existing hazard points are mainly concentrated along both sides river valleys, which may be associated intensified human–land conflicts. These findings offer valuable insights into ecological restoration sustainable development regions.

Language: Английский

Citations

0
A health-service-risk framework for evaluating ecological carrying capacity in arid inland river basins: A case study of the Tarim River Basin DOI Creative Commons

Rongqin Yang,

Zhenxia Mu, Zilong Li

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 173, P. 113427 - 113427

Published: April 1, 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
Identifying the Key Protection Areas of Alpine Marsh Wetlands in the Qinghai Qilian Mountains, China: An Ecosystem Patterns–Characteristics–Functions Combined Method DOI Creative Commons
Lei Wang, Xufeng Mao,

Hongyan Yu

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2115 - 2115

Published: Dec. 6, 2024

The alpine marsh wetlands in the Qilian Mountains of Qinghai (QMQ) are under constant threat from effects climate change and human activities. Identifying key ecological protection areas (KEPAs) is prerequisite for formulating strategies executing spatial planning programs. current study developed a novel method to identify KEPAs by following ecosystem pattern–characteristics–functions (EPCFs) combined source–ecological corridor–ecological node research paradigm. More specifically, an evaluation system resistance was constructed integrating drivers EPCFs wetlands. Additionally, wetland degradation disturbances were analyzed through incorporated with field survey. findings indicated following: (1) had total water yield approximately 3.96 × 108 m3. soil conservation rate habitat quality per unit area calculated be 52.92 t·hm−2·a−1 0.992, respectively, higher values observed on southern bank lower northern river QMQ. (2) covered extent 996.53 km2 QMQ, encompassing 40 sources, 39 corridors, nodes, predominantly located source regions. (3) restructured into framework comprising two axes, four belts, cores, multiple nodes In response factors contributing wetlands, adaptive measures including prioritizing natural restoration, modifying grazing strategies, restoration projects as minimum, designating protected have been recommended. This could contribute enhancing efficiency regional territorial offer theoretical foundation improving

Language: Английский

Citations

0