Accounting for spatial coupling to assess the interactions between human well-being and environmental performance DOI
Ziyan Han,

Yingdi Wu,

Jijun Meng

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 448, P. 141666 - 141666

Published: March 8, 2024

Language: Английский

Understanding sustainability of woody species suitability zones on the Loess Plateau for optimal creation zone selection in response to future climate change DOI

Haihong Qiu,

Hairong Han, Xiaoqin Cheng

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 375, P. 124239 - 124239

Published: Jan. 29, 2025

Language: Английский

Citations

1

Research on the spatiotemporal evolution characteristics and driving mechanisms of supply–demand risks of ecosystem services in the yellow river basin integrating the hierarchy of needs theory DOI Creative Commons

Tianlin Zhai,

Yuanbo Ma,

Longyang Huang

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113229 - 113229

Published: Feb. 1, 2025

Language: Английский

Citations

1

How socioeconomic factors affect ecosystem service value: Evidence from China DOI Creative Commons
Jianru Shi, Shixiang Li, Yan Song

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 145, P. 109589 - 109589

Published: Oct. 28, 2022

The impact of social and economic development on local ecological patterns should not be ignored. Because human beings cannot change the natural environment quickly, it is only by paying attention to research factors that we can promote implementation policies. From perspective economics, this paper selects panel data for 31 provinces in China during 2000–2020 explore differences influencing different socioeconomic stages using spatial Durbin model piecewise regression method. We found distribution ecosystem service value per unit area uneven, being high east low west, south, north. At development, capita GDP, proportion primary industry, tertiary industrial pollution control investment, population density, construction land area, total investment key forestry projects, education infrastructure road length have impacts value, even spillover effects adjacent areas. Therefore, when formulating policies improve services, regions at times must carefully considered.

Language: Английский

Citations

38

Scale effects on the supply–demand mismatches of ecosystem services in Hubei Province, China DOI Creative Commons
He Guoyu, Lei Zhang, Xiaojian Wei

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 153, P. 110461 - 110461

Published: June 10, 2023

Understanding the patterns, relationships, and driving forces between ecosystem services (ESs) supply–demand at multiple spatial scales can facilitate sustainable hierarchical management. However, scale effects of ESs mismatches were typically ignored, resulting in inadequate targeted promotion policies. This study identified key (grain production, water yield, carbon sequestration, soil conservation) using ecological ratio bivariate Moran's I three grid county from 2000 to 2020 Hubei Province, China. Then regression models applied explore these mismatches. The major results revealed that (1) Province counties located away urban areas self-sufficient supply–demand, but numbers declined over twenty years. characteristics some patches may be obscured coarser scales. (2) directions socioecological drivers robust, their intensities changed significantly four normalized difference vegetation index was primary positive driver fine scale, while population, economy, proportion construction land became dominant Factors influencing more diverse compared coarse scale. (3) Efficient strategies scale-dependent place-based. Different management units should clarify responsibilities strengthen linkages upper lower levels achieve development. At provincial level, strengthening interregional cooperation allocating surplus grain resources southwest regions contributes balancing regional ESs. adopting region-specific based on delineating zones is crucial. finer levels, incorporating micro-scale mismatch locations natural background information provide valuable guidance for localized protection restoration projects. findings underscore strengths conducting assessments scales, enabling different government enhance effective prevent misinformation.

Language: Английский

Citations

22

Spatial drivers of ecosystem services supply-demand balances in the Nanjing metropolitan area, China DOI
Ligang Lv, Hanqiu Xu,

Junjun Zhu

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 434, P. 139894 - 139894

Published: Nov. 30, 2023

Language: Английский

Citations

20

Optimal operation of multi-microgrid systems considering multi-level energy-certificate-carbon coupling trading DOI
Yue Zhang, Qiong Wu,

Hongbo Ren

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: 227, P. 120505 - 120505

Published: April 24, 2024

Language: Английский

Citations

8

Guiding and constraining reclamation for coastal zone through identification of response thresholds for ecosystem services supply–demand relationships DOI
Chenghao Liu, Xiaolu Yan, Han Zeng-lin

et al.

Land Degradation and Development, Journal Year: 2024, Volume and Issue: 35(5), P. 1804 - 1817

Published: Jan. 11, 2024

Abstract Enhancing the understanding and management of ecosystem services (ESs) supply demand under influence global change is crucial for sustaining human well‐being promoting sustainable development. However, comprehension changes in service dynamics face complex disturbances remains limited. This study focuses on four representative ESs northern Liaodong Bay, a typical estuary wetland, to elucidate alterations these comprehend impact mechanisms arising from reclamation activities. The findings reveal following key insights: between 1993 2020, water yield disparity became increasingly pronounced, while equilibrium carbon storage shifted surplus balance. In contrast, excess supply–demand food landscape esthetics remained relatively consistent. delves deeper into non‐linear relationship activities relationships, with each exhibiting distinct patterns. As intensity rises, ratio exhibits varying trends: demonstrate an inverted U‐shaped relationship, follows pattern, progressively decline. By identifying thresholds, different strategies should be applied areas exceeding falling below constraints guidance being necessary former latter, respectively. These advance our context human‐driven provide practical implications coastal areas.

Language: Английский

Citations

7

Exploring ecosystem services interactions in the dryland: Socio-ecological drivers and thresholds for better ecosystem management DOI Creative Commons

Xingqi Wang,

Bojie Wang,

Fengqi Cui

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111699 - 111699

Published: Feb. 1, 2024

The ecosystem services (ESs) interactions of dryland, play a significant role in maintaining stability and supporting human well-being against the backdrop growing worldwide drought. Nevertheless, quantitative evaluation this topic has been limited. Therefore, we analyzed variations seven ESs (livestock production, carbon sequestration, water yield, microclimate regulation, soil conservation, sandstorm prevention, habitat quality) from 2000 to 2020 Hunshandak sandy land. Further utilizing machine learning, discerned variety vital interactions, alongside their fundamental drivers. results showed that synergies are considered be most crucial relationships between ESs. Most trade-offs have weakened space. Land use is important factor restricting trade-off intensity Grassland, forest, unused land sensitive changes relationship intensity. NDVI critical for interpreting thresholds threshold less than 0.3. Average annual precipitation inflection points 250, 300, 350, 450 mm, while temperature occurred at 2.8, 3, 3.5 °C. Valuable guidance dryland could provided by timely in-depth insights into socio-ecological drivers influence among

Language: Английский

Citations

7

Identifying the Coupling Coordination Relationship between Urbanization and Ecosystem Services Supply–Demand and Its Driving Forces: Case Study in Shaanxi Province, China DOI Creative Commons
Jiamin Liu, Hao Wang, Le Hui

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(13), P. 2383 - 2383

Published: June 28, 2024

Exploring the relationship and driving forces between supply–demand of ecosystem services (ESs) urbanization can help solve environmental problems promote regional sustainable development. This study analyzed spatio-temporal distribution characteristics ESs comprehensive level (CUL) in Shaanxi Province from 2010 to 2019 assessed coupling service ratio (ESSDR) CUL using coordination degree (CCD) model. Random forests geographically weighted regression methods were utilized characterize contribution spatial drivers CCD. The results showed that: (1) except for habitat quality, ESSDR other three types as well a decreasing trend, exhibited increasing trend; (2) Although CCD was generally increasing, significant portion (78.51%) regions still remained uncoordinated, with relatively better shown around Guanzhong urban agglomeration, which has higher level; (3) primarily influenced by local financial income, secondary industry, temperature forces. In high CCD, tertiary industry decisive force. areas, there variations These findings provide coupled coordinated perspective ecological management, scientific reference practical guidance cities different development modes.

Language: Английский

Citations

7

Spatiotemporal Dynamics of Ecosystem Services and Their Trade-Offs and Synergies in Response to Natural and Social Factors: Evidence from Yibin, Upper Yangtze River DOI Creative Commons
Chunhong Tian,

Liheng Pang,

Quanzhi Yuan

et al.

Land, Journal Year: 2024, Volume and Issue: 13(7), P. 1009 - 1009

Published: July 7, 2024

During the rapid urbanization phase, trade-off between ecosystem services is most severe and also effective stage to implement ecological management. Exploring natural—social driving mechanisms for trade-offs contributes coordinated development of social economy nature. Taking typical mountainous city (Yibin) that currently in phase ecologically fragile as an example, utilizing a combination difference comparison, trade-off–synergy index (TSI), optimal-parameter-based geographical detector model (OPGD), multi-scale geographically weighted regression (MGWR), we spatially assess nature intensity ES relationships explore its social–natural mechanisms. Our findings reveal following: (1) Varied geospatial patterns four ESs—habitat quality (HQ), carbon storage (CS), soil conservation (SC), water yield (WY)—with greatest fluctuations WY. (2) Significant changes over time, showing predominant positive synergies WY-HQ, WY-SC, HQ-CS, negative HQ SC, WY-CS SC-CS. (3) Distinct, time-varying factors different relationships: climate topography WY, vegetation CS, economic HQ, SC. Rapid has diminished role natural factors. (4) The coefficients local various factors, based on which targeted recommendations can be proposed. For instance, establishment interconnected small wetlands green spaces urban areas enhancement multiple ESs. purpose this study provide scientific insights into optimizations key services’ are undergoing urbanization.

Language: Английский

Citations

7