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

и другие.

Geomatics Natural Hazards and Risk, Год журнала: 2024, Номер 16(1)

Опубликована: Дек. 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.

Язык: Английский

Monitoring changes and multi-scenario simulations of land use and ecosystem service values in coastal cities: A case study of Qingdao, China DOI
Shaojie Xu,

Kaiyong Wang,

Fuyuan Wang

и другие.

Environmental Monitoring and Assessment, Год журнала: 2025, Номер 197(2)

Опубликована: Янв. 15, 2025

Язык: Английский

Процитировано

2

China promotes coastal wetland restoration to protect wetland ecosystems DOI Creative Commons
Quansheng Wang, Guoqing Han,

Qi Zhang

и другие.

Environmental Sciences Europe, Год журнала: 2025, Номер 37(1)

Опубликована: Март 14, 2025

Язык: Английский

Процитировано

0

Dual impacts of human activities on land cover and carbon storage in the Yellow River Delta (1986–2023) DOI
Boyang Sun, Houjie Wang, Xiao Wu

и другие.

Ocean & Coastal Management, Год журнала: 2025, Номер 267, С. 107655 - 107655

Опубликована: Март 30, 2025

Язык: Английский

Процитировано

0

Measuring hydrological alterations and landscape patterns for sustainable development through ecosystem connectivity in Hastinapur Wildlife Sanctuary, India DOI
Sonali Kundu, Narendra Kumar Rana, Barnali Kundu

и другие.

Journal of Environmental Sciences, Год журнала: 2025, Номер unknown

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Mining activities drive the temporal and spatial changes of ecosystem carbon storage in coal resource-based city with high groundwater table DOI
Xiangyu Min,

Bingzi Zhang,

Yongsheng Wang

и другие.

Habitat International, Год журнала: 2025, Номер 161, С. 103420 - 103420

Опубликована: Апрель 26, 2025

Язык: Английский

Процитировано

0

Quantifying dynamics of ecosystem carbon storage under influence of land use and land cover change in coastal zone from remote sensing perspective DOI Creative Commons
Chao Chen, Jintao Liang, Weiwei Zhang

и другие.

Sustainable Horizons, Год журнала: 2025, Номер 14, С. 100146 - 100146

Опубликована: Апрель 29, 2025

Язык: Английский

Процитировано

0

Explainable Machine Learning Insights into Wetland Dynamics and Carbon Storage in the Irtysh River Basin DOI Creative Commons
Kaiyue Luo, Alim Samat, Tim Van de Voorde

и другие.

Earth Systems and Environment, Год журнала: 2025, Номер unknown

Опубликована: Май 21, 2025

Язык: Английский

Процитировано

0

Coupling coordination between carbon storage protection in alpine wetlands and SDGs: A case study of the Qinghai-Tibet Plateau, China DOI
Yuanxin Liu,

Mingyue Zhao

Journal of Cleaner Production, Год журнала: 2024, Номер unknown, С. 144260 - 144260

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

2

Multi-Scenario Simulation of Land-Use/Land-Cover Changes and Carbon Storage Prediction Coupled with the SD-PLUS-InVEST Model: A Case Study of the Tuojiang River Basin, China DOI Creative Commons
Qi Wang, Wenying Zhang,

Xia Jian-guo

и другие.

Land, Год журнала: 2024, Номер 13(9), С. 1518 - 1518

Опубликована: Сен. 19, 2024

Land-use and land-cover changes (LUCCs) significantly impact carbon sequestration by modifying the structure function of terrestrial ecosystems. This study utilized GIS remote sensing techniques to forecast future LUCC patterns their influence on regional budgets, which is essential for sustainable development. We devised a coupled system dynamics (SD) model integrated with patch-generating land-use simulation (PLUS) simulate LUCCs under diverse scenarios using multisource environmental data. Additionally, InVEST was employed quantify storage in By establishing three scenarios—ecological priority (EP), highly urbanized (HU), coordinated development (CD)—this study’s aim predict distribution Tuojiang River Basin (TRB), China, up 2035. The results showed that (1) from 2000 2020, significant occurred TRB, primarily involving conversion cultivated land into construction areas forestland; (2) had substantial EP scenario demonstrating highest 2035 due extensive forest expansion, while HU indicated decline associated rapid urbanization; (3) mountainous regions dominated forestland, consistently exhibited higher storage, whereas Chengdu Plain region upper basin displayed lowest. In conclusion, we recommend prioritizing CD strategies balance economic growth ecological protection simultaneously enhancing storage. Our findings offer valuable insights shape policies Basin, underscoring adaptability approach wide range geographic scales contexts.

Язык: Английский

Процитировано

1

Evaluation of the Social Effects of Wetland Ecological Restoration in China: From the perspective of satisfaction and perception of residents around Poyang Lake in Jiangxi Province DOI Creative Commons

Changhai Wang,

Junting Guo,

ZhongXiang Zhang

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Дек. 4, 2024

Abstract This paper focuses on the social effect assessment of ecological governance Poyang Lake wetland in Jiangxi Province. By distributing and collecting 1,098 valid questionnaires to surrounding residents, this deeply explores feedback residents’ satisfaction recognition effectiveness measures. Through comprehensive use regression analysis descriptive statistical methods, discusses impact management measures life quality, environmental protection awareness community well-being. The study found that project was widely praised, overall residents as high 87.5%, reflecting a significant effect. Further revealed affected by multiple factors, including age, education, quality improvement quality. Residents’ cognition function is multi-dimensional profound, but they still need strengthen popular science education deep-level functions such species protection. Based research conclusion, three policy suggestions are proposed: first, government should enhance public protection; second, pay attention win-win ecology people's livelihood, promote harmonious coexistence development; third, improve relevant infrastructure, facilities, scientific monitoring legal construction, lay solid foundation for sustainable utilization resources.

Язык: Английский

Процитировано

0