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

Research on the Coordination Relationship and Zoning Optimization of Territorial Spatial Functions in Southern Karst Regions Based on a Multi-Scale Fusion Model DOI Creative Commons

Ting Feng,

Xiaodong Yu,

Zhou Yan

et al.

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 430 - 430

Published: Feb. 19, 2025

Territorial Space (TS) is characterized by its multifunctionality. The identification and management of Spatial Functions (TSFs) across multi-scale crucial for achieving the SDGs. However, previous studies have primarily concentrated on variations in TSFs within administrative or grid units at a single scale, with investigations remaining challenge. This study focuses typical karst region Guangxi province China develops Multi-Scale Fusion model (MSF) assessing employs coupling coordination degree (CCD) to examine relationships. Furthermore, principal component analysis (PCA) used classify various types influencing factors, Revealed Comparative Advantage (RCA) index employed identify primary factors county level. integrates advantage into zoning process. results demonstrate: (1) Ecological function dominant function. At unit production living functions exhibit spatial pattern “high southeast low northwest”, while ecological shows opposite pattern. Under scale fusion, high texture characteristics are more pronounced. (2) slight moderate disorder. Slight disorder widely distributed, predominantly found northwest mountainous regions. In contrast, coordinated relationships frequently observed urban areas. (3) driver can be categorized four categories: Terrain-Population, Agriculture Development, Location-Economy, Non-Agriculture Development. By integrating relationships, six zones delineated. Based this, precise differentiated optimization suggestions proposed promote orderly utilization sustainable development TS.

Language: Английский

Citations

1
Exploring Trade-Offs/Synergies and Drivers of Ecosystem Services in the Dongting Lake Area, China DOI Open Access
Ying Huang,

Xinsheng Chen,

Lianlian Zhu

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1650 - 1650

Published: Feb. 17, 2025

Identifying ecosystem service trade-offs/synergies and their influencing factors are prerequisites for formulating scientific management strategies. We selected Dongting Lake Area as the study area, quantified four key ESs dynamics, including food production (FP), soil conservation (SC), habitat quality (HQ) ecological leisure (EL), identified relationships between paired services using Spearman correlation coefficients, analyzed how various drivers impact trade-offs synergies by leveraging spatial panel data models; we also implemented zoning superposition analysis on services, these drivers. The results showed that FC SC displayed synergy before a trade-off over period 2000–2022. FP–HQ HQ–EL initially synergy, then trade-off, again. Spatially, ratios of FP–HQ, SC–HQ, exceeded ratios, areas existed around Lake. direct or indirect effects DEM, slope, precipitation, population density have greatest effect pairs. Furthermore, DTLA was divided into unbalance, conservation, areas. These finding may provide critical insights to balance socio-economic progress in Area.

Language: Английский

Citations

0
Spatio-temporal evolution and influencing factors of rural production-living-ecological function: A case study of mountainous counties in Zhejiang Province, China DOI Creative Commons
Zhiyuan Xu,

KE Fu-yan,

Jiajie Yu

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: March 24, 2025

Production-living-ecological function (PLEF) represent the core dimensions of rural systems. However, systematic studies on PLEF in mountainous counties along China’s southeastern coast remain insufficient. Additionally, dominant factors influencing functional evolution require deeper investigation, as these insights are crucial for regional sustainable development. This study focuses areas Zhejiang Province, a leading region revitalization. A evaluation index system was established. Using comprehensive methods, exploratory spatial data analysis (ESDA), and geographical detector (GeoDetector) models, we measured development Province from 2005 to 2020. Spatio-temporal autocorrelation analyses were conducted, followed by identification factors. The results show that: (1) average increased 0.88 1.56 2020, with growth contributions ranked as: living (LF) > ecological (EF) production (PF); (2) developmental stages PF, LF EF transitioned “low-low-medium” pattern “medium-medium-high” configuration; (3) exhibited agglomeration characteristics; however, weakened dependency decreased during period; (4) Dominant shifted across subsystems: PF agricultural functions non-agricultural functions; life support social welfare remained primarily driven provisioning functions. These findings offer theoretical foundations coordinating enhancing sustainability.

Language: Английский

Citations

0
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