Spatiotemporal coupling of ecological vulnerability and economic comprehensive level in the source area of the Yellow River in China based on remote sensing, GIS and AHP-CRITIC DOI Creative Commons
Haoxiang Zhang, Qian Song, Shiru Wang

et al.

Geomatics Natural Hazards and Risk, Journal Year: 2024, Volume and Issue: 16(1)

Published: Dec. 27, 2024

The Yellow River Source Area (YRSA) is ecologically fragile, economically weak, geographically vast and sparsely populated, faces challenges to its development. Existing studies on the YRSA often neglect interactions between ecological socio-economic factors, which a hot issue in sustainable development research. In this article, hierarchical analysis method (AHP), CRITIC weighting method, state-function-structure model (SFS), coupled coordination degree (CCDM), spatio-temporal weighted regression (GTWR) are used assess coupling of ecology economy analyze influencing factors. results show that dominated by grassland ecosystem vulnerability has been improved certain extent. northeastern region higher than southwestern terms economic level, corresponds results. Hot spots clustered north, cold spread from southeast west. two main factors affecting (EV) comprehensive level (ECL) population density elevation. This study complements existing knowledge ecological, human-land systems at global regional scale. It provides important insights data support policy formulation implementation while contributing improvements.

Language: Английский

Variable climatic conditions dominate decreased wetland vulnerability on the Qinghai‒Tibet Plateau: Insights from the ecosystem pattern-process-function framework DOI
Zhengyuan Zhao, Bojie Fu,

Yihe Lü

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 458, P. 142496 - 142496

Published: May 7, 2024

Language: Английский

Citations

9
Research on regional economic development and natural disaster risk assessment under the goal of carbon peak and carbon neutrality: A case study in Chengdu-Chongqing economic circle DOI
Xin Zhang, Hao Luo, Xiaoyu Zeng

et al.

Land Use Policy, Journal Year: 2024, Volume and Issue: 143, P. 107206 - 107206

Published: May 28, 2024

Language: Английский

Citations

7
Mapping Coniferous Forest Distribution in a Semi-Arid Area Based on Multi-Classifier Fusion and Google Earth Engine Combining Gaofen-1 and Sentinel-1 Data: A Case Study in Northwestern Liaoning, China DOI Open Access
Lizhi Liu, Qiuliang Zhang, Ying Guo

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(2), P. 288 - 288

Published: Feb. 2, 2024

Information about the distribution of coniferous forests holds significance for enhancing forestry efficiency and making informed policy decisions. Accurately identifying mapping can expedite achievement Sustainable Development Goal (SDG) 15, aimed at managing sustainably, combating desertification, halting reversing land degradation, biodiversity loss. However, traditional methods employed to identify map are costly labor-intensive, particularly in dealing with large-scale regions. Consequently, a methodological framework is proposed northwestern Liaoning, China, which there semi-arid barren environment areas. This leverages multi-classifier fusion algorithm that combines deep learning (U2-Net Resnet-50) shallow (support vector machines random forests) deployed Google Earth Engine. Freely available remote sensing images integrated from multiple sources, including Gaofen-1 Sentinel-1, enhance accuracy reliability results. The overall forest identification results reached 97.6%, highlighting effectiveness methodology. Further calculations were conducted determine area each administrative region Liaoning. It was found total study 6013.67 km2, accounting 9.59% has potential offer timely accurate information on promise decision sustainable development ecological environment.

Language: Английский

Citations

2
Water–Ecological Health Assessment Considering Water Supply–Demand Balance and Water Supply Security: A Case Study in Xinjiang DOI Creative Commons
Ji Zhang,

Xiaoying Lai,

Aihua Long

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(20), P. 3834 - 3834

Published: Oct. 15, 2024

Water scarcity and ecological degradation in arid zones present significant challenges to regional health. Despite this, integrating the water supply–demand balance supply security (SEC) into health assessments—particularly through composite indicators—remains underexplored regions. In this study, we assessed changes Xinjiang by utilizing multivariate remote sensing data, focusing on between demand, degree of SEC, ecosystem resilience (ER). Our results indicate that while demand remained relatively stable northern 2000 2020, conflict intensified southern eastern agricultural SEC evaluations revealed 73.3% region experienced varying degrees decline over 20-year period. Additionally, ER assessments showed 7.12% exhibited a decline, with 78.6% experiencing overall reductions The indicators’ response drought demonstrated improvements during wet conditions were less pronounced than declines droughts. This study underscores necessity prioritizing areas lower future allocation strategies optimize resource utilization.

Language: Английский

Citations

1
Spatiotemporal coupling of ecological vulnerability and economic comprehensive level in the source area of the Yellow River in China based on remote sensing, GIS and AHP-CRITIC DOI Creative Commons
Haoxiang Zhang, Qian Song, Shiru Wang

et al.

Geomatics Natural Hazards and Risk, Journal Year: 2024, Volume and Issue: 16(1)

Published: Dec. 27, 2024

The Yellow River Source Area (YRSA) is ecologically fragile, economically weak, geographically vast and sparsely populated, faces challenges to its development. Existing studies on the YRSA often neglect interactions between ecological socio-economic factors, which a hot issue in sustainable development research. In this article, hierarchical analysis method (AHP), CRITIC weighting method, state-function-structure model (SFS), coupled coordination degree (CCDM), spatio-temporal weighted regression (GTWR) are used assess coupling of ecology economy analyze influencing factors. results show that dominated by grassland ecosystem vulnerability has been improved certain extent. northeastern region higher than southwestern terms economic level, corresponds results. Hot spots clustered north, cold spread from southeast west. two main factors affecting (EV) comprehensive level (ECL) population density elevation. This study complements existing knowledge ecological, human-land systems at global regional scale. It provides important insights data support policy formulation implementation while contributing improvements.

Language: Английский

Citations

0