Cited by Research on identification and zoning control of territorial spatial risk pattern based on deep learning: A case study of Shenzhen, China

Revolutionizing ecological security pattern with multi-source data and deep learning: An adaptive generation approach DOI

Daohong Gong, Min Huang, Yong Ge

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 173, P. 113315 - 113315

Published: March 22, 2025

Language: Английский

Citations

Identification of ecological security pattern in the Qinghai-Tibet Plateau DOI

Wangping Li, Yadong Liu,

Qingrun Lin

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 170, P. 113057 - 113057

Published: Jan. 1, 2025

Language: Английский

Citations

Construction of the ecological security pattern of Mu Us sandy land on the basis of the “Source − Resistance − Corridor” theory DOI

Jiamin Li,

Li’e Liang,

Chao Yan

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113162 - 113162

Published: Jan. 31, 2025

Language: Английский

Citations

Model-repair capabilities of tree-based machine-learning algorithms applied to theoretical nuclear mass models DOI

Guoping Liu,

H. L. Wang, Zhenzhen Zhang

et al.

Physical review. C, Journal Year: 2025, Volume and Issue: 111(2)

Published: Feb. 6, 2025

Language: Английский

Citations

Ecological security prediction and land use conflict identification in fragile mountain cities: a case study of Longnan, China DOI

Jun Zhang, Qingyu Guan, Yuxin Shan

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145146 - 145146

Published: Feb. 1, 2025

Language: Английский

Citations

Variation characteristics of soil erosion and their response to landscape patterns in a typical basin in the Upper Yangtze River DOI

Kaixin Jiang,

Shuhong Mo,

Jianzhi Zhang

et al.

Frontiers in Plant Science, Journal Year: 2025, Volume and Issue: 16

Published: March 20, 2025

Soil erosion is undeniably a significant cause of variety problems in the Upper Yangtze River (UYR), including floods, land degradation, and sedimentation rivers. Recognizing alterations soil its influencing variables this area recently crucial scientific challenge requiring prompt solutions regional control. This study examines factors Jialing Basin (JRB) from 1990 to 2018 using RUSLE geographical detector. It focuses on relationship between use, landscape patterns, typical basin UYR. The results indicated that: (1) average modulus JRB decreased during 1990-2018, with predominant slight (< 500 t·km −2 ·a −1 ) light 2,500 intensity. Moderate higher grades mainly occurred middle lower JRB. (2) Cultivated land, forest grassland accounted for over 97% JRB’s use cultivated dominating areas. Over years, there was an increase construction areas, while decreased. pattern characterized by diversity, fragmentation, decentralization. (3) control (SECA), primarily situated JRB, predominantly land. Between 2018, SECA underwent changes, most notable changes occurring Fujiang (FRB) western parts Qujiang (QRB). experienced more fluctuations left bank right specifically QRB FRB. research can serve as reference future decision-making planning management

Language: Английский

Citations

Regional Responses of Ecosystem Service Security to Land Use Changes and Driving Mechanisms: Insights from Nearly 40 Years of Observations in Shaanxi, China DOI

Shan Qu, Ling Han,

Liangzhi Li

et al.

Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 116224 - 116224

Published: March 1, 2025

Language: Английский

Citations

Integrating key species distribution and ecosystem service flows to build directed ecological network: Evidence from the Shiyang River Basin, China DOI

Dan Men,

Jinghu Pan

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 381, P. 125183 - 125183

Published: April 9, 2025

Language: Английский

Citations

Spatiotemporal assessment of ecological quality and driving mechanisms in the Beijing metropolitan area DOI

Aibo Jin,

Hui Li, Xiangrong Wang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 16, 2025

Language: Английский

Citations

Ecological Network Optimization and Security Pattern Development for Kunming’s Main Urban Area Using the MSPA-MCR Model DOI

Wanxu Chen, Junsan Zhao, G. Chen

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3623 - 3623

Published: April 17, 2025

Rapid urbanization has greatly altered urban ecological spaces and habitat quality functions, threatening regional biodiversity the sustainability of landscapes. Therefore, constructing a comprehensive network safety patterns is crucial for ecosystem management development. However, simple quantification networks fails to meet construction needs patterns, most studies focus solely on analysis, thus overlooking importance spatial analysis. This study proposes method assessment combined with hotspot analysis coupled standard deviational ellipse which not only satisfies quantitative but also adds methods, facilitating more patterns. Firstly, through morphological pattern (MSPA) landscape connectivity indices, source areas in main area Kunming were identified, integrating various resistance factors corrective construct an surface. The minimum cumulative (MCR) model was used identify potential corridors, their evaluated using gravity model, establishing network. Secondly, based structure assessed optimized. On this basis, constructed. results show following: core region 2402.28 km2, accounting 52.07% total area; there are 13 areas, totaling 2102.89 45.58% 178 including 15 level-one corridors 19 level-two corridors; 103 nodes, 70 “stepping stones”, 48 breakpoints identified. In terms optimization, six new added, covering 16.22 increased 324, 11 level two 51 24 major breakpoints. After closure index (α), (β), rate (γ) improved by 15.16%, 24.56%, 17.79%, respectively. Based ellipse’s “one axis, belts, five zones”

Language: Английский

Citations