Identification and optimization of ecological security pattern in arid inland basin based on ordered weighted average and ant colony algorithm: A case study of Shule River basin, NW China
Optimization of ecological security patterns (ESP) is an important way to implement land space restoration and maintain regional sustainable development. How to comprehensively identify regional ESP while maintaining the balanced development of each ecosystem service is the key issue in the identifi...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-10-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X23007306 |
| _version_ | 1797683163695153152 |
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| author | Jinghu Pan Jia Liang Chengcheng Zhao |
| author_facet | Jinghu Pan Jia Liang Chengcheng Zhao |
| author_sort | Jinghu Pan |
| collection | DOAJ |
| description | Optimization of ecological security patterns (ESP) is an important way to implement land space restoration and maintain regional sustainable development. How to comprehensively identify regional ESP while maintaining the balanced development of each ecosystem service is the key issue in the identification and construction of ESP at present. Using data on land use, meteorology, vegetation biomass and socio-economic statistics, the quality of six typical ecosystem services in the Shule River basin (SRB) in 2010 and 2020 were calculated for food supply, water conservation, carbon fixation and oxygen release, habitat quality, soil conservation and culture and leisure. The ordered weighted averaging (OWA) model was introduced to identify the priority conservation areas of ecosystem services as ecological source, and the minimum cumulative resistance (MCR) model was used to extract ecological corridors and ecological nodes. Based on the ant colony algorithm model to identify the optimal paths of corridors in the study area, identify the spatial scope of ecological corridors, potential corridors and key recovery points, and construct the optimization model of basin ESP. The results show that the spatial and temporal differences of ecosystem services in the SRB is significant, showing the characteristics of overall dispersion and small regional concentration. 76 ecological source patches with a total area of 2.29 × 104 km2; 54 ecological corridors with a total length of 3161.87 km; and 36 ecological nodes in the study area were identified. Overall, the basin ESP shows that the network is complete but there is still room for optimization, and local problems are prominent. The total area of key ecological corridors extracted is 4.21 × 104 km2, and there are 4 key recovery points. Finally, the optimization model of the ESP of the SRB of “two corridors, two belts, and three areas” was determined. |
| first_indexed | 2024-03-12T00:10:33Z |
| format | Article |
| id | doaj.art-d551a6e307a24d9ca2d5d24e68e754bb |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-03-12T00:10:33Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-d551a6e307a24d9ca2d5d24e68e754bb2023-09-16T05:29:22ZengElsevierEcological Indicators1470-160X2023-10-01154110588Identification and optimization of ecological security pattern in arid inland basin based on ordered weighted average and ant colony algorithm: A case study of Shule River basin, NW ChinaJinghu Pan0Jia Liang1Chengcheng Zhao2Corresponding author.; College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, ChinaCollege of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, ChinaCollege of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, ChinaOptimization of ecological security patterns (ESP) is an important way to implement land space restoration and maintain regional sustainable development. How to comprehensively identify regional ESP while maintaining the balanced development of each ecosystem service is the key issue in the identification and construction of ESP at present. Using data on land use, meteorology, vegetation biomass and socio-economic statistics, the quality of six typical ecosystem services in the Shule River basin (SRB) in 2010 and 2020 were calculated for food supply, water conservation, carbon fixation and oxygen release, habitat quality, soil conservation and culture and leisure. The ordered weighted averaging (OWA) model was introduced to identify the priority conservation areas of ecosystem services as ecological source, and the minimum cumulative resistance (MCR) model was used to extract ecological corridors and ecological nodes. Based on the ant colony algorithm model to identify the optimal paths of corridors in the study area, identify the spatial scope of ecological corridors, potential corridors and key recovery points, and construct the optimization model of basin ESP. The results show that the spatial and temporal differences of ecosystem services in the SRB is significant, showing the characteristics of overall dispersion and small regional concentration. 76 ecological source patches with a total area of 2.29 × 104 km2; 54 ecological corridors with a total length of 3161.87 km; and 36 ecological nodes in the study area were identified. Overall, the basin ESP shows that the network is complete but there is still room for optimization, and local problems are prominent. The total area of key ecological corridors extracted is 4.21 × 104 km2, and there are 4 key recovery points. Finally, the optimization model of the ESP of the SRB of “two corridors, two belts, and three areas” was determined.http://www.sciencedirect.com/science/article/pii/S1470160X23007306Ecological security patternsEcosystem servicesSpatial pattern optimizationOWA-GISAnt colony algorithmShule River basin |
| spellingShingle | Jinghu Pan Jia Liang Chengcheng Zhao Identification and optimization of ecological security pattern in arid inland basin based on ordered weighted average and ant colony algorithm: A case study of Shule River basin, NW China Ecological Indicators Ecological security patterns Ecosystem services Spatial pattern optimization OWA-GIS Ant colony algorithm Shule River basin |
| title | Identification and optimization of ecological security pattern in arid inland basin based on ordered weighted average and ant colony algorithm: A case study of Shule River basin, NW China |
| title_full | Identification and optimization of ecological security pattern in arid inland basin based on ordered weighted average and ant colony algorithm: A case study of Shule River basin, NW China |
| title_fullStr | Identification and optimization of ecological security pattern in arid inland basin based on ordered weighted average and ant colony algorithm: A case study of Shule River basin, NW China |
| title_full_unstemmed | Identification and optimization of ecological security pattern in arid inland basin based on ordered weighted average and ant colony algorithm: A case study of Shule River basin, NW China |
| title_short | Identification and optimization of ecological security pattern in arid inland basin based on ordered weighted average and ant colony algorithm: A case study of Shule River basin, NW China |
| title_sort | identification and optimization of ecological security pattern in arid inland basin based on ordered weighted average and ant colony algorithm a case study of shule river basin nw china |
| topic | Ecological security patterns Ecosystem services Spatial pattern optimization OWA-GIS Ant colony algorithm Shule River basin |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X23007306 |
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