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

Dynamic environmental zoning using the CA–Markov model and multicriteria analysis in a Brazilian Cerrado Watershed DOI Creative Commons
Erivelton Pereira Vick, Bruno Henrique Machado da Silva, Amanda Ayumi de Souza Amede Sato

и другие.

Ecological Indicators, Год журнала: 2024, Номер 167, С. 112598 - 112598

Опубликована: Сен. 23, 2024

Язык: Английский

Процитировано

1

Ecological Zoning Study on the Coupling of Land Use Intensity and Landscape Ecological Risk in Western Jilin: A Production–Living–Ecological Space Perspective DOI Open Access
Rina Su,

Yi Bole,

Zhijun Tong

и другие.

Sustainability, Год журнала: 2024, Номер 16(24), С. 10992 - 10992

Опубликована: Дек. 14, 2024

Ecological zoning is essential for optimizing regional ecological management and improving environmental protection efficiency. While previous studies have primarily focused on the independent analysis of land use intensity (LUI) landscape risk (LER), there has been limited research their coupled relationship. This study, conducted in Western Jilin (WJL), introduces an innovative method based Production–Living–Ecological Space (PLES) framework, which explores interactions between LUI LER, filling a gap existing research. The employs coupling coordination degree (CCD) model Geographic Information System (GIS) technology to construct LUI-ERI model, used delineate zones. results indicate that: (1) PLES study area predominantly production space (PS), with largest transfer being (PES) 2784.23 km2, most significant PS 3112.33 km2. (2) Between 2000 2020, both LER exhibited downward trends, opposite spatial distribution characteristics. “middle” zone “highest” were dominant types, covering approximately 46% 45% total area, respectively. (3) showed polarized trend, overall upward trajectory from 2020. (4) WJL can be categorized into core (ECP) zone, potential governance (EPG) comprehensive monitoring (ECM) optimization (EO) restoration (ER) occupying 61.63% area. provides novel perspective offers systematic scientific basis planning.

Язык: Английский

Процитировано

1

Evaluating the spatiotemporal land ecological changes in the Yangtze-to-Huaihe Water Diversion Project area DOI
Beibei Guo, Wei Li,

Xuemin Kong

и другие.

Environmental Science and Pollution Research, Год журнала: 2024, Номер unknown

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

0

System Dynamics–Based Construction Risk Analysis of a Coastal Ribbon Landscape Project DOI
Chen Wang, Shi Lian Xu, Ying Zhang

и другие.

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering, Год журнала: 2024, Номер 11(1)

Опубликована: Окт. 29, 2024

Язык: Английский

Процитировано

0

Land use-driven shifts in shorebird habitat connectivity along the Yellow and Bohai Sea coasts: Dynamics and scenario predictions DOI

Cheng Yang,

Houlang Duan, Xiubo Yu

и другие.

Biological Conservation, Год журнала: 2024, Номер 300, С. 110869 - 110869

Опубликована: Ноя. 15, 2024

Язык: Английский

Процитировано

0

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

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