Multi-scale identification of driving forces for landscape ecological risk: A case study of the basin containing three plateau lakes in Yunnan, China DOI Creative Commons
Shu Wang, Quanli Xu,

Junhua Yi

и другие.

Ecological Indicators, Год журнала: 2024, Номер 170, С. 113037 - 113037

Опубликована: Дек. 30, 2024

Язык: Английский

Research progress and prospects for constructing ecological security pattern based on ecological network DOI Creative Commons
Dong Xu, Fang Wang,

Meichen Fu

и другие.

Ecological Indicators, Год журнала: 2024, Номер 168, С. 112800 - 112800

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

5

From ecological entities to the entire coastal zone: An improved ecological risk assessment methodology in Jiangsu, China DOI
Jian Fang, Min Xu, Min Wu

и другие.

Environmental Impact Assessment Review, Год журнала: 2025, Номер 112, С. 107826 - 107826

Опубликована: Янв. 18, 2025

Язык: Английский

Процитировано

0

Relevance of carbon sink to ecological sensitivity in terraced agroforestry ecosystems under tourism interference DOI Creative Commons

Mengwei Han,

Shuaipu Zhang,

Junfeng Dai

и другие.

Ecological Indicators, Год журнала: 2025, Номер 171, С. 113179 - 113179

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Spatiotemporal effects of landscape structure on the trade-offs and synergies among ecosystem service functions in Yangtze River Economic Belt, China DOI
Yao Yao,

Yuanyuan Yang

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Апрель 4, 2025

Abstract Effective landscape management is vital for maximizing the availability of ecosystem service functions (ESF). However, how pattern simultaneously affects multiple ESF across time and space, specifically regarding changes in their relationships, has not been comprehensively evaluated. Accordingly, current study examines dynamic impact on interactions among ES trade-offs China's Yangtze River Economic Belt (YREB) from 1990 to 2020. Five key are evaluated: carbon sequestration (CS), food supply (FS), habitat quality (HQ), water retention (WR), soil conservation (SC). The geographical temporal weighted regression model adopted analyze these relationships influenced by over 30 years. Over past three decades, overall amounts FS, WR, SC have increased, with only WR exhibiting a sustained increasing trend, while CS HQ significantly decreased. trade-off coordination effects generally transitioned synergies, CS–FS change more pronounced, shifting weak (− 0.29) synergies (0.20). Significant spatial variations were also observed. Most ESF. Specifically, composition stronger influence ecosystems than configuration; however, diverse often inconsistent, requiring decision-makers continuously balance management. impacts between other (CS–SC, HQ–SC, WR–SC) consistent, most prominent CS–SC. This suggests that exerts comparatively steady CS, benefiting contributions regional land parcels. These results underscore intricate responses inter-ecosystem need Cumulatively, this provides crucial guidance policymakers designing effective policies mitigate ecological degradation.

Язык: Английский

Процитировано

0

Multi-scale identification of driving forces for landscape ecological risk: A case study of the basin containing three plateau lakes in Yunnan, China DOI Creative Commons
Shu Wang, Quanli Xu,

Junhua Yi

и другие.

Ecological Indicators, Год журнала: 2024, Номер 170, С. 113037 - 113037

Опубликована: Дек. 30, 2024

Язык: Английский

Процитировано

0