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

• Published in: Ecological indicators 2023-10, Vol.154, p.110588, Article 110588
• Main Authors: Pan, Jinghu, Liang, Jia, Zhao, Chengcheng
• Format: Article
• Language: English
• Subjects: algorithms; Ant colony algorithm; basins; biomass; carbon dioxide fixation; case studies; China; Ecological security patterns; Ecosystem services; ecosystems; food availability; habitats; land use; meteorology; OWA-GIS; oxygen; Shule River basin; socioeconomics; soil conservation; Spatial pattern optimization; statistics; sustainable development; vegetation; water conservation; watersheds
• ISSN: 1470-160X
• DOI: 10.1016/j.ecolind.2023.110588

[Display omitted] •Priority conservation areas was identified using OWA model.•Optimal paths of corridors was identified using ant colony algorithm.•Ecological security pattern of Shule River basin was evaluated.•Determine the optimization pattern of ESP in Shule River basin. 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.