Horizontal ecological compensation mechanism and green low-carbon development in river basins: evidence from Xin’an River basin DOI
Tianshu Quan, Hui Zhang,

Jing Li

et al.

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(38), P. 88463 - 88480

Published: July 12, 2023

Language: Английский

Mechanisms for realizing the ecological products value: Green finance intervention and support DOI
Malin Song, Juntao Du

International Journal of Production Economics, Journal Year: 2024, Volume and Issue: 271, P. 109210 - 109210

Published: March 11, 2024

Language: Английский

Citations

18
Occurrence, geochemical characteristics, enrichment, and ecological risks of rare earth elements in sediments of “the Yellow river−Estuary−bay” system DOI
Ziyu Liu, Xiang Gu,

Maoshan Lian

et al.

Environmental Pollution, Journal Year: 2023, Volume and Issue: 319, P. 121025 - 121025

Published: Jan. 5, 2023

Language: Английский

Citations

31
Cross-regional ecological compensation under the composite index of water quality and quantity: A case study of the Yellow River Basin DOI
Hao Hu, Guiliang Tian, Zheng Wu

et al.

Environmental Research, Journal Year: 2023, Volume and Issue: 238, P. 117152 - 117152

Published: Sept. 17, 2023

Language: Английский

Citations

29
Based on ecological footprint and ecosystem service value, research on ecological compensation in Anhui Province, China DOI Creative Commons
Junjun Niu, Chunmei Mao, Xiang Jia

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 158, P. 111341 - 111341

Published: Nov. 29, 2023

Anhui Province plays a significant ecological role and acts as "ecological barrier" in the Yangtze River Delta integration project. In order to study numerous aspects impacting balance between economy environment, this article uses research object analyzes each ecosystem from three dimensions: service value, footprint, carrying capacity. On basis, amount of compensation is calculated provide foundation for coordination environmental rights protection Province. These are findings: (1) Province's value 2021 was 731.874 billion yuan, which comparatively high. Among them, contribution mainly made by waters forest, together provided 90.35% province's were key ecosystems that need be protected. main functions service, regulating its secondary functions, such hydrologic regulation, climate regulation purification services, had always accounted largest proportion among all indicating played part Anhui's ecosystem. (2) footprint approximately 115.7417 million hectares, with total capacity 10.7757 hectares. actually an deficit situation. cultivated land fossil energy most serious. future, reasonable measures must taken adjust state these two ecosystems, ultimately realize province sustainability. (3) overload index −9.74, overall resources supply demand significantly out balance, negative benefits exported, payment roughly 3706.795 yuan necessary.

Language: Английский

Citations

28
Horizontal ecological compensation standards based on ecosystem services flow DOI Creative Commons

Chen Chi,

Juqin Shen,

Xin Gao

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 163, P. 112081 - 112081

Published: April 27, 2024

Language: Английский

Citations

13
Spatial scale effects on the value of ecosystem services in China's terrestrial area DOI
Changsheng Xiong,

Huiyu Ren,

Dan Xu

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 366, P. 121745 - 121745

Published: July 10, 2024

Language: Английский

Citations

13
Construction of watershed ecological security patterns with integrated of spatial variability: A case study of the Yellow River Basin, China DOI Creative Commons
Bingbing Zhang, Jianrong Cao,

Dengshuai Chen

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111663 - 111663

Published: Feb. 1, 2024

Safeguarding ecological security is one of China's important development strategies. Identifying patterns (ESPs) an effective way to collaboratively develop and environmental in different regions. Currently, studies on the construction regional ESPs mainly focus innovation ecosystem service functions, ignoring differences sensitivities environments a large scale. In this paper, taking Yellow River Basin (YRB) as example, six functions were selected identify sources (ESs), sensitivity weights set according environment characteristics regions, resistance surfaces (ERSs) determined. And YRB further investigated based Minimum Cumulative Resistance (MCR) model circuit theory. The research findings indicate:(1) We had identified 218 ESs YRB, covering area 387,165 km2, which was 19.36 % entire study highly concentrated upstream areas. There 532 corridors (ECs) with total length 39,015.95 km, less distribution lower reaches YRB. 201 pinch points (EPPs) forests grasslands. (2) ERSs constructed significant impact ECs EPPs. variations areas notably more secure than middle reaches, indicating overall level security. (3) Different adopted suitable for differences. This provides wise direction coordinating protection achieving high-quality

Language: Английский

Citations

12
Spatiotemporal differentiation of the ecosystem service value and its coupling relationship with urbanization: A case study of the Lanzhou-Xining urban agglomeration DOI Creative Commons
Jie Li, Guang Li,

Yunliang Liang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 160, P. 111932 - 111932

Published: March 1, 2024

Urbanization is a key factor that threatens the stability of ecosystem services (ESs), which are crucial for maintaining ecological security and enhancing human quality life. Gaining insight into spatiotemporal differentiation service value (ESV) its coupling relationship with urbanization issue in promoting sustainable regional development. We employed various algorithms, including improved equivalence method, random forest model, mixed geographically temporally weighted regression coordination degree (CCD) to reveal evolution ESV driving mechanisms Lanzhou-Xining urban agglomeration (LXUA) from 1980 2020. In addition, we explored between combined index (CUI). The results showed following: (1) From 2020, interannual variation first decreased then increased, an increase 230 million yuan/annum 2020 compared 1980. Spatially, exhibits distribution pattern high south low north, west east. (2) Land use intensity (LUI) elevation contributed values exceeding 20% were most important drivers ESV. (3) average CCD CUI transitioned being severely unbalanced (0.19) slightly balanced (0.42). There was negative spatial correlation CUI, each cluster type distributed discretely space. Our study emphasizes areas characterized by robust integrity ESV, LUI constitutes main reason decline findings this can provide scientific basis coordinated development ESVs LXUA other cities.

Language: Английский

Citations

11
Spatiotemporal Evolution of Water-Linked Ecosystem Service Values in the Pearl River Basin: A GIS-Based Approach for Sustainable Water-Ecology-Society Governance DOI Creative Commons
Yuanzhu Wang, Rajah Rasiah

Desalination and Water Treatment, Journal Year: 2025, Volume and Issue: unknown, P. 101046 - 101046

Published: Feb. 1, 2025

Language: Английский

Citations

1
Identifying and optimizing ecological spatial patterns based on the bird distribution in the Yellow River Basin, China DOI

Chenglong Xu,

Qiang Yu, Fei Wang

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 348, P. 119293 - 119293

Published: Oct. 10, 2023

Language: Английский

Citations

21