Landscape ecological risk assessment and driving factors analysis based on optimal spatial scales in Luan River Basin, China
Rapid urbanization and human activities have significantly influenced landscape ecological pattern and increased ecological risk. Landscape ecological risk (LER) assessment serves as an effective tool to capture the effects of natural evolution and human activities on ecosystems comprehensively, but...
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Elsevier
2024-12-01
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| Series: | Ecological Indicators |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X24012780 |
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| author | Nijuan Yang Ting Zhang Jianzhu Li Ping Feng Nina Yang |
| author_facet | Nijuan Yang Ting Zhang Jianzhu Li Ping Feng Nina Yang |
| author_sort | Nijuan Yang |
| collection | DOAJ |
| description | Rapid urbanization and human activities have significantly influenced landscape ecological pattern and increased ecological risk. Landscape ecological risk (LER) assessment serves as an effective tool to capture the effects of natural evolution and human activities on ecosystems comprehensively, but the assessment result is subject to spatial scales. This paper figured out the optimal spatial scales of the Luan River Basin integrating response curves, area accuracy loss model, and semi-variation function under the appropriate resampling method. The improved landscape ecological risk index (ILERI) model was established to assess LER based on optimal spatial scales, employing spatial autocorrelation theory and Geodetector to reveal the spatio-temporal traits and influencing factors of LER. The results showed: (1) Nearest is the appropriate raster resampling method in landscape pattern analysis of Luan River Basin, and the optimal spatial granularity and amplitude are 30 m and 3200 m, respectively; (2) In 2000, 2008, 2016 and 2022, ILERI was 0.242, 0.249, 0.250 and 0.234, respectively, and LER levels were medium–low and medium predominantly, which accounted for 64.87 %, 52.28 %, 68.76 % and 70.55 %; (3) Recent data showed a decline in LER levels, with higher risks concentrated in the northwest and lower risks in the southeast. Precipitation, population density, and primary industry were the primary factors and the interaction of multiple factors played a more significant role. This study will provide reference for planning land use and managing ecological environment in the Luan River Basin. |
| format | Article |
| id | doaj-art-5e79bda8a4fb4134a1b519e9f99f4081 |
| institution | OA Journals |
| issn | 1470-160X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj-art-5e79bda8a4fb4134a1b519e9f99f40812025-08-20T01:56:44ZengElsevierEcological Indicators1470-160X2024-12-0116911282110.1016/j.ecolind.2024.112821Landscape ecological risk assessment and driving factors analysis based on optimal spatial scales in Luan River Basin, ChinaNijuan Yang0Ting Zhang1Jianzhu Li2Ping Feng3Nina Yang4State Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation, Tianjin University, Tianjin 300350, ChinaState Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation, Tianjin University, Tianjin 300350, China; Corresponding author at: State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300350, China.State Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation, Tianjin University, Tianjin 300350, ChinaState Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation, Tianjin University, Tianjin 300350, ChinaState Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, ChinaRapid urbanization and human activities have significantly influenced landscape ecological pattern and increased ecological risk. Landscape ecological risk (LER) assessment serves as an effective tool to capture the effects of natural evolution and human activities on ecosystems comprehensively, but the assessment result is subject to spatial scales. This paper figured out the optimal spatial scales of the Luan River Basin integrating response curves, area accuracy loss model, and semi-variation function under the appropriate resampling method. The improved landscape ecological risk index (ILERI) model was established to assess LER based on optimal spatial scales, employing spatial autocorrelation theory and Geodetector to reveal the spatio-temporal traits and influencing factors of LER. The results showed: (1) Nearest is the appropriate raster resampling method in landscape pattern analysis of Luan River Basin, and the optimal spatial granularity and amplitude are 30 m and 3200 m, respectively; (2) In 2000, 2008, 2016 and 2022, ILERI was 0.242, 0.249, 0.250 and 0.234, respectively, and LER levels were medium–low and medium predominantly, which accounted for 64.87 %, 52.28 %, 68.76 % and 70.55 %; (3) Recent data showed a decline in LER levels, with higher risks concentrated in the northwest and lower risks in the southeast. Precipitation, population density, and primary industry were the primary factors and the interaction of multiple factors played a more significant role. This study will provide reference for planning land use and managing ecological environment in the Luan River Basin.http://www.sciencedirect.com/science/article/pii/S1470160X24012780Improved landscape ecological risk indexLandscape patternScale effectSpatio-temporal dynamicsDriving factorsLuan River Basin |
| spellingShingle | Nijuan Yang Ting Zhang Jianzhu Li Ping Feng Nina Yang Landscape ecological risk assessment and driving factors analysis based on optimal spatial scales in Luan River Basin, China Ecological Indicators Improved landscape ecological risk index Landscape pattern Scale effect Spatio-temporal dynamics Driving factors Luan River Basin |
| title | Landscape ecological risk assessment and driving factors analysis based on optimal spatial scales in Luan River Basin, China |
| title_full | Landscape ecological risk assessment and driving factors analysis based on optimal spatial scales in Luan River Basin, China |
| title_fullStr | Landscape ecological risk assessment and driving factors analysis based on optimal spatial scales in Luan River Basin, China |
| title_full_unstemmed | Landscape ecological risk assessment and driving factors analysis based on optimal spatial scales in Luan River Basin, China |
| title_short | Landscape ecological risk assessment and driving factors analysis based on optimal spatial scales in Luan River Basin, China |
| title_sort | landscape ecological risk assessment and driving factors analysis based on optimal spatial scales in luan river basin china |
| topic | Improved landscape ecological risk index Landscape pattern Scale effect Spatio-temporal dynamics Driving factors Luan River Basin |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X24012780 |
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