Assessment of landscape diversity in Inner Mongolia and risk prediction using CNN-LSTM model DOI Creative Commons
Yalei Yang, Hong Wang, Xiaobing Li

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 169, P. 112940 - 112940

Published: Dec. 1, 2024

Language: Английский

Optimization of landscape ecological risk assessment method and ecological management zoning considering resilience DOI
Jin Wang, Jin Man Wang, Jianing Zhang

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 376, P. 124586 - 124586

Published: Feb. 18, 2025

Language: Английский

Citations

2

Driving force analysis and multi-scenario simulation of landscape ecological risk in the Jianghan Plain, China DOI Creative Commons
Heng Liu, Zhou Lü,

Diwei Tang

et al.

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

Published: Jan. 9, 2025

As a key food production base, land use changes in the Jianghan Plain (JHP) significantly affect surface landscape structure and ecological risks, posing challenges to security. Assessing risk of JHP, identifying its drivers, predicting trends under different scenarios can provide strategic support for management safeguarding security JHP. In this study, (LER) index was constructed by integrating indices from 2000 2020, firstly analyzing spatiotemporal characteristics, subsequently influencing factors using GeoDetector model, finally, simulating four Markov-PLUS model. The results showed that: (1) Cropland dominant use, most significant decreases increases occurred cropland built-up land, respectively. primary conversion interconversion water body. (2) LER exhibited trend initially increasing decreasing, levels were predominantly medium higher. spatial pattern high southeast low central northern areas. (3) patterns resulted combined effect multiple mainly influenced natural environment, which NDVI first factor. (4) intensity higher economic development than protection scenarios, predicted 2030 former latter two. These findings are important formulating scientific reasonable planning strategies balance growth preservation maintain sustainability

Language: Английский

Citations

0

Spatiotemporal evolution of landscape ecological risk and its driving factors of the Beijing–Tianjin–Hebei major mineral belt, 1985–2022 DOI Creative Commons
Yilin Wang, Xiaohong Wang, Wei Zhang

et al.

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

Published: Jan. 18, 2025

The Beijing-Tianjin-Hebei major mineral belt represents a significant economic development area in China. Effective monitoring and assessment of the regional landscape ecological risk can provide scientific basis for an protection strategy environmental belt. In this study, index was constructed based on land use/land cover, spatial temporal variations were subsequently analyzed. Furthermore, contribution main driving factors quantified results demonstrate that: (1) use types within study underwent changes from 1985 to 2022. predominant type transfer cropland, which primarily converted construction land, grassland, woodland. (2) central-northern western parts is higher, while southwest lower. Using 2015 as time point, found change, with average value all classes 2015-2022 being lower than that 1985-2015, exception high-risk area. mean annual obviously higher during 1985-2015 period comparison period, regions exhibiting high risk. (3) There positive correlation between risks different periods. pattern exhibits both 'high-high' aggregation 'low-low' aggregation. aggregations are located northern, central area, zones mainly southeastern region. (4) distribution predominantly shaped by population density slope. context interactive factor detection, interaction slope temperature, night-time illumination slope, precipitation identified exerting more influence observed differentiation It multiple drivers had pronounced impact any single factor. findings research project rationale reference future use, resource optimization, differential management restoration. considerable importance terms maintaining security patterns.

Language: Английский

Citations

0

Revealing the impact of urbanization on landscape ecological risk: a case study of the lower reaches of the Yangtze River, China DOI Creative Commons

Y. T. Guo,

Wang Wei,

Xitang Zhang

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: April 30, 2025

Cities along the lower reaches of Yangtze River (CLRYR) have highlighted human-land conflicts with their rapid urban expansion. Fully assessing landscape ecological risk (LER) region and its response in context urbanization is great significance for regional sustainable development. To address this issue, study explores spatiotemporal evolution LER CLRYR from perspective “production-living-ecological” space (PLES), evaluates decoupling status processes different cities, aiming to provide scientific reference policymakers. The results indicate that mean value increased 0.2508 2000 0.2573 2020, an increase fluctuations. From a spatial distribution perspective, proportion medium highest, consistently above 30%; lowest less than 3%. Moran’s I values were 0.4773, 0.4014, 0.3326, 0.2462, 0.4779, respectively, indicating significant positive correlation. Through model analysis, it was found only Wuxi, Suzhou, Changzhou achieved strong between economic growth 2010 2020. findings important basis deeper understanding complex relationship risks also lay theoretical foundation promoting implementation green development strategies region.

Language: Английский

Citations

0

Assessment of Landscape Ecological Risks Driven by Land Use Change Using Multi-Scenario Simulation: A Case Study of Harbin, China DOI Creative Commons
Yang Li, Jiafu Liu, Yue Zhu

et al.

Land, Journal Year: 2025, Volume and Issue: 14(5), P. 947 - 947

Published: April 27, 2025

An evaluation of regional landscape ecological risk (LER) in Harbin, a key center city Northeast China, is crucial for the long-term sustainability its and economic development. This study aims to (1) assess spatiotemporal patterns LER Harbin from 2000 2020, (2) identify natural human driving factors influencing LER, (3) project future trends under multiple land use scenarios. To achieve these objectives, data 2000, 2010, 2020 were analyzed using pattern indices characterize patterns. GeoDetector was applied quantify spatial differentiation factor contributions LER. Furthermore, PLUS model employed simulate change three scenario settings. Moran’s I used evaluate autocorrelation. The results indicate following: Between cultivated woodland two most prevalent types with majority shifts occurring between groupings. main changes continuous increase development steady decrease unused area. overall has been trending downward over last 20 years, primarily falling within medium-risk range. Marked heterogeneity observed, displaying distribution “high west north, low east south”. riskiest regions concentrated around bodies water. 0.798, 0.828, 0.852, respectively, indicating significant local clustering mainly defined by “High–High” “Low–Low” agglomeration (4) Among factors, DEM exhibited greatest explanatory strength interaction annual precipitation recognized as dominant force disparities (5) projected scenarios 2030, priority showed slower rate land, suggesting that this an effective approach improving conditions. findings offer theoretical foundation scientific guidance management similar regions.

Language: Английский

Citations

0

Integrating Risk-Conflict assessment for constructing and optimizing ecological security patterns of Polder landscape in the Urban-Rural fringe DOI Creative Commons
Pingyang Han,

Haojun Xiong,

Haozhi Hu

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112256 - 112256

Published: June 18, 2024

Language: Английский

Citations

3

Construction of Wetland Ecological Security Pattern in Wuhan Metropolitan Core Area Considering Wetland Ecological Risk DOI Creative Commons
Pingyang Han, Haozhi Hu,

Mengting Jiang

et al.

Land, Journal Year: 2024, Volume and Issue: 13(9), P. 1407 - 1407

Published: Sept. 1, 2024

Wetlands play a crucial role in maintaining biodiversity and ecological balance. Preserving the security of wetlands is critically important for regional environmental protection sustainable development. However, core area Wuhan metropolitan circle, which rapidly urbanizing, its are more susceptible to external natural risks, such as changes temperature rainfall, well risks human activity, social economic activities, urban expansion, land use changes, population growth. Meanwhile, internal vulnerability terms their spatial extent, structure, functions also exacerbates risks. These factors collectively influence formation development wetland This study aims comprehensively assess circle by combining hazards vulnerabilities construct optimize wetlands’ pattern. We used MSPA method identify potential sources. Additionally, MCR model was employed integrate risk assessment results into resistance surface, corridors nodes, pattern propose specific optimization strategies. In total, 31 primary 106 secondary sources were selected, along with 20 42 nodes. Furthermore, 10 major constructed. Considering landscape characteristics southern Yangtze River region will center around Liangzi Lake group establish corridor network, promoting overall restoration connectivity. northern form chain-like distribution river, creating diverse ecosystems. provides theoretical foundation constructing optimizing wetlands, laying solid groundwork conservation

Language: Английский

Citations

2

Landscape ecological risk assessment and driving factors analysis based on optimal spatial scales in Luan River Basin, China DOI Creative Commons

Nijuan Yang,

Ting Zhang, Jianzhu Li

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 169, P. 112821 - 112821

Published: Nov. 14, 2024

Language: Английский

Citations

2

Exploring the interactions and driving factors among typical ecological risks based on ecosystem services: A case study in the Sichuan-Yunnan ecological barrier area DOI Creative Commons
Weijie Li,

Jinwen Kang,

Yong Wang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 170, P. 113000 - 113000

Published: Dec. 16, 2024

Language: Английский

Citations

1

Assessment of landscape diversity in Inner Mongolia and risk prediction using CNN-LSTM model DOI Creative Commons
Yalei Yang, Hong Wang, Xiaobing Li

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 169, P. 112940 - 112940

Published: Dec. 1, 2024

Language: Английский

Citations

0