Can urban compactness improve ecosystem services: Evidence from Chinese urban agglomerations DOI Creative Commons
Xuewei Zhang, Jiahui Wu,

Jintao Yuan

и другие.

Ecological Indicators, Год журнала: 2025, Номер 170, С. 113075 - 113075

Опубликована: Янв. 1, 2025

Язык: Английский

Inter-regional ecological compensation in the Yellow River Basin based on the value of ecosystem services DOI

Zixuan Zhou,

Xinrui Sun,

Xuantao Zhang

и другие.

Journal of Environmental Management, Год журнала: 2022, Номер 322, С. 116073 - 116073

Опубликована: Авг. 29, 2022

Язык: Английский

Процитировано

101

Narrowing urban–rural income gap in China: The role of the targeted poverty alleviation program DOI
Jianjun Tang, Jiaowei Gong, Wanglin Ma

и другие.

Economic Analysis and Policy, Год журнала: 2022, Номер 75, С. 74 - 90

Опубликована: Май 13, 2022

Язык: Английский

Процитировано

100

Multilevel ecological compensation policy design based on ecosystem service flow: A case study of carbon sequestration services in the Qinghai-Tibet Plateau DOI
Chunsheng Wu, Rongrong Lu, Peng Zhang

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 921, С. 171093 - 171093

Опубликована: Фев. 21, 2024

Язык: Английский

Процитировано

23

The spatial-temporal changes of supply-demand of ecosystem services and ecological compensation: A case study of Hexi Corridor, Northwest China DOI
Wei Wei, Shengxiang Nan, Binbin Xie

и другие.

Ecological Engineering, Год журнала: 2022, Номер 187, С. 106861 - 106861

Опубликована: Ноя. 30, 2022

Язык: Английский

Процитировано

41

Effects of official and unofficial environmental regulations on environmental quality: Evidence from the Yangtze River Economic Belt, China DOI
Qiang Feng, Thompson S.H. Teo, Tong Sun

и другие.

Environmental Research, Год журнала: 2023, Номер 226, С. 115667 - 115667

Опубликована: Март 10, 2023

Язык: Английский

Процитировано

33

Digital economy evaluation, regional differences and spatio-temporal evolution: Case study of Yangtze River economic belt in China DOI
Weiwei Li, Wenlong Cui, Pingtao Yi

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 113, С. 105685 - 105685

Опубликована: Июль 18, 2024

Язык: Английский

Процитировано

16

Influencing factors and the establishment of a basin ecological compensation mechanism from the perspective of water conservation: A case study of the upper Yangtze River in China DOI
Dongjie Guan, Chen Shi, Yuxiang Zhang

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 456, С. 142332 - 142332

Опубликована: Апрель 27, 2024

Язык: Английский

Процитировано

11

Multi-scenario prediction of ecosystem services value and mechanism of its trade-offs under the township scale—evidence from Liaoning province DOI
Aihua Cao, Jinning Zhang

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

Опубликована: Янв. 29, 2025

Язык: Английский

Процитировано

1

How can an ecological compensation threshold be determined? A discriminant model integrating the minimum data approach and the most appropriate land use scenarios DOI
Yuxiang Zhang, Dongjie Guan,

Lei Wu

и другие.

The Science of The Total Environment, Год журнала: 2022, Номер 852, С. 158377 - 158377

Опубликована: Авг. 29, 2022

Язык: Английский

Процитировано

32

Evaluation of vegetation restoration effectiveness along the Yangtze River shoreline and its response to land use changes DOI Creative Commons
Yinlan Huang, Xinyi Li, Dan Liu

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Март 31, 2024

Abstract Assessing the effectiveness of vegetation restoration along Yangtze River shoreline and exploring its relationship with land use changes are imperative for providing recommendations sustainable management environmental protection. However, impact post-implementation Conservation Project remains uncertain. In this study, utilizing Sentinel-2 satellite imagery Dynamic World data from pre- (2016) post- (2022) periods, pixel-based binary models, transition matrices, geographically weighted regression models were employed to analyze status evolution coverage shoreline. The results indicated that there had been an increase in area covered by high high-medium levels. proportion cover shifting better was 4201.87 km 2 (35.68%). Hotspots improvement predominantly located River. Moreover, areas witnessing enhanced experienced notable changes, notably conversion water crops (126.93 , 22.79%), trees (59.93 10.76%), built 10.76%). Notably, between emerged as a significant factor influencing improvement, average coefficients 0.68 0.50, respectively. These outcomes underscore significance study guiding ecological protection

Язык: Английский

Процитировано

7