Coupling Relationships and Driving Mechanisms of Water–Energy–Food in China from the Perspective of Supply and Demand Security DOI Creative Commons
Qin Zhang,

Jing Shao,

J.W. Qiao

et al.

Land, Journal Year: 2024, Volume and Issue: 13(10), P. 1637 - 1637

Published: Oct. 8, 2024

The rapid increase in population and economy, coupled with accelerated urbanization, is placing immense pressure on the water–energy–food (WEF) system. In this context, nexus framework has emerged, recognizing interdependencies interactions among water, energy, food systems, aim of optimizing resource management through cross-sectoral collaboration to promote sustainable development. Understanding spatio-temporal differentiation patterns WEF elucidating driving mechanisms behind changes their coupling relationships essential. This knowledge crucial for ensuring security each subsystem enhancing overall sustainability interconnected systems coordinated efforts. To address these challenges, study first established evaluation indicators quantify levels dynamics. Subsequently, degrees coordination within were calculated. Finally, nexus’s spatial correlations analyzed by using a autocorrelation model. Spatial econometric models then identified key factors affecting its coordination. results revealed significant heterogeneity across mainland China’s provinces. From 2002 2022, water improved substantially 87% provinces, while energy began improve eastern regions following phase high consumption. Food saw enhancements, particularly Inner Mongolia northeastern 30 progressing toward primary However, Henan Anhui provinces experienced fluctuations correlation analysis showed upward trends increased clustering Factors such as economic development positively influenced coordination, agglomeration, education, effective irrigation area had negative effects. elucidates complex interconnections influencing nexus, providing reference practical recommendations equitable management.

Language: Английский

Exploration of the development of water-energy-food nexus and its endogenous and exogenous drivers in the Yellow River Basin, China DOI
Yirui Wang, Jinxi Song, Qi Li

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 378, P. 124735 - 124735

Published: March 3, 2025

Language: Английский

Citations

1
Trends in the future evolution of rural settlements in oasis-desert areas under water use simulation scenarios: Take the Hexi Corridor region of China as an example DOI
Wenbo Zhang, Libang Ma, Hongbo Li

et al.

Landscape and Urban Planning, Journal Year: 2024, Volume and Issue: 248, P. 105110 - 105110

Published: May 7, 2024

Language: Английский

Citations

8
Efficiency assessment and scenario simulation of the water-energy-food system in the Yellow river basin, China DOI
Chenjun Zhang, Xiangyang Zhao, Changfeng Shi

et al.

Energy, Journal Year: 2024, Volume and Issue: 305, P. 132279 - 132279

Published: July 2, 2024

Language: Английский

Citations

5
Multivariate Controls of Water–Carbon Coupling Relationship Under Various Land Use Types in the Thick Loess Deposits DOI Open Access
Ruifeng Li,

Xuanhua Zhang,

Wangjia Ji

et al.

Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 29, 2025

ABSTRACT Prior studies have conducted extensive investigations of the water–carbon coupling relationship for aboveground vegetation and shallow soils, but characteristics multivariate controls in deep soils not been fully explored. This has important implications better understanding water carbon cycles ecosystems. In this study, we attempted to examine 18 m profiles under farmland (F), grassland (G), willow (SP), poplar (P) China's Loess Plateau. Specially, at diverse depths scales were explored via wavelet analysis. Individually, conversion from F G, SP, P decreased soil storage within 0–15 by 553 (22% F), 557 (22%), 943 mm (38%). Land use change had little impact on organic or inorganic carbon. Even so, poplar, compared with willow, resulted higher vertical variations Furthermore, land increased coherence between whole layer. comparison F, which was dominated retention, exhibited dominant sequestration. The reduced root‐mean‐square deviation 0.29 (F) 0.13 6‐ 15‐m layer 0.32 0.20 0‐ 2‐m Sand content electrical conductivity both played negative roles maintaining layers different scales, respectively. study endeavors present a novel viewpoint management, potential enhance ecosystem services water‐limited land‐degradation regions.

Language: Английский

Citations

0
Exploring the Relationship Between Land Use and the Food‐Water‐Energy Nexus: Insights From A Systematic Literature Review DOI Creative Commons
Ke Yang, Qi Han, Dujuan Yang

et al.

Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

ABSTRACT As urbanization accelerates, cities face increasingly significant ecological challenges essential for sustainability. One of the primary manifestations these is imbalance between food, water, and energy resources, often resulting in irrational use land. However, few scholars have reviewed relationship land F‐W‐E nexus. Thus, this paper examines interplay Food‐Water‐Energy nexus using a thematic literature review covering past 9 years (2015–2023). Specifically, 88 relevant articles been identified encoded NVivo software based on structured coding framework that focuses theory (framework), method, indicators, spatial scale, aims, results. The was retrieved keyword searches from Web Science databases. follows systematic four‐step process: defining sub‐questions, conducting PRISMA guidelines, utilizing organization, finally synthesizing discussing findings. findings reveal several key insights: (1) Ecological urban morphology studies are understanding planning patterns. influence agricultural water quality remains ambiguous, discrepancies exist effects land‐use intensity residential density F‐W‐E. (2) There clear lack comprehensive interdisciplinary multi‐objective research theories methods F‐W‐E‐L (Food‐Water‐Energy‐Land use). At same time, implicit consumption beyond geographical boundaries needs attention. (3) Sustainable development goals within system clearly defined goalsover time fail to differentiate across scales. (4) deficiency shared decision‐making post‐policy tracking framework. To address challenges, comprehensive, multi‐scale, approach proposed, integrating multi‐sectoral public participation into planning.

Language: Английский

Citations

0
Coupling Relationships and Driving Mechanisms of Water–Energy–Food in China from the Perspective of Supply and Demand Security DOI Creative Commons
Qin Zhang,

Jing Shao,

J.W. Qiao

et al.

Land, Journal Year: 2024, Volume and Issue: 13(10), P. 1637 - 1637

Published: Oct. 8, 2024

The rapid increase in population and economy, coupled with accelerated urbanization, is placing immense pressure on the water–energy–food (WEF) system. In this context, nexus framework has emerged, recognizing interdependencies interactions among water, energy, food systems, aim of optimizing resource management through cross-sectoral collaboration to promote sustainable development. Understanding spatio-temporal differentiation patterns WEF elucidating driving mechanisms behind changes their coupling relationships essential. This knowledge crucial for ensuring security each subsystem enhancing overall sustainability interconnected systems coordinated efforts. To address these challenges, study first established evaluation indicators quantify levels dynamics. Subsequently, degrees coordination within were calculated. Finally, nexus’s spatial correlations analyzed by using a autocorrelation model. Spatial econometric models then identified key factors affecting its coordination. results revealed significant heterogeneity across mainland China’s provinces. From 2002 2022, water improved substantially 87% provinces, while energy began improve eastern regions following phase high consumption. Food saw enhancements, particularly Inner Mongolia northeastern 30 progressing toward primary However, Henan Anhui provinces experienced fluctuations correlation analysis showed upward trends increased clustering Factors such as economic development positively influenced coordination, agglomeration, education, effective irrigation area had negative effects. elucidates complex interconnections influencing nexus, providing reference practical recommendations equitable management.

Language: Английский

Citations

0