Applying ant colony algorithm to identify ecological security patterns in megacities

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dc.contributor.authorPeng, Jian
dc.contributor.authorZhao, Shiquan
dc.contributor.authorDong, Jianquan
dc.contributor.authorLiu, Yanxu
dc.contributor.authorMeersmans, Jeroen
dc.contributor.authorLi, Huilei
dc.contributor.authorWu, Jiansheng
dc.date.accessioned2019-07-18T19:28:58Z
dc.date.available2019-07-18T19:28:58Z
dc.date.issued2019-03-20
dc.description.abstractEcological security patterns composed of ecological sources and corridors provide an effective approach to conserving natural ecosystems. Although the direction of ecological corridors has been identified in previous studies, the precise range remains unknown. To address this crucial gap, ant colony algorithm and kernel density estimation were applied to identify the range and restoration points of ecological corridors, which is important for natural conservation and ecological restoration. In this case study of Beijing City, ecological sources were identified based on habitat importance and landscape connectivity. The results showed that, in total 3119.65 km2 of ecological land had been extracted as ecological sources, which were mainly located in the northern, northwestern and northeastern mountainous areas. The identified key ecological corridor covered an area of 198.86 km2, with 567.30 km2 for potential ecological corridors, both connecting the ecological sources. 34 key points were also identified with priority in restoring ecological corridors.en_UK
dc.identifier.citationPeng J, Zhao S, Dong J, et al., (2019) Applying ant colony algorithm to identify ecological security patterns in megacities. Environmental Modelling and Software, Volume 117, July 2019, pp. 214-222en_UK
dc.identifier.issn1364-8152
dc.identifier.urihttps://doi.org/10.1016/j.envsoft.2019.03.017
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/14361
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAnt colony algorithmen_UK
dc.subjectKernel density estimationen_UK
dc.subjectRange of ecological corridorsen_UK
dc.subjectEcological restoration pointsen_UK
dc.subjectEcological security patternsen_UK
dc.subjectUrban planningen_UK
dc.titleApplying ant colony algorithm to identify ecological security patterns in megacitiesen_UK
dc.typeArticleen_UK

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