Indexing habitat suitability and human-elephant conflicts using GIS-MCDA in a human-dominated landscape.

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dc.contributor.author Withanage, W.K.N.C.
dc.contributor.author Gunathilaka, M.D.K.L.
dc.contributor.author Mishra, P.K.
dc.contributor.author Wijesinghe, W.M.D.C.
dc.contributor.author Tripathi, S.
dc.date.accessioned 2024-11-07T09:49:12Z
dc.date.available 2024-11-07T09:49:12Z
dc.date.issued 2023
dc.identifier.citation Withanage, W.K.N.C.,Gunathilaka,M.D.K.L..,Mishra, P.K., Wijesinghe, W.M.D.C. Tripathi, S.(2023).Indexing habitat suitability and human-elephant conflicts using GIS-MCDA in a human-dominated landscape,Geography and Sustianability.4(2023),343-355.https://doi.org/10.1016/j.geosus.2023.08.004 en_US
dc.identifier.issn 2666-6839
dc.identifier.uri http://ir.lib.ruh.ac.lk/handle/iruor/18449
dc.description.abstract Concerns for biodiversity loss, wildlife conservation, and habitat destruction have dominated the policy agenda worldwide for decades. Unsustainable human-induced development and negative interaction between humans and wildlife have emerged as predominant issues globally. The present study deals with human and elephant conflicts (HEC) in the Polpitigama Divisional Secretariat, Sri Lanka, which is located in the Kahalla-Pallekele ele- phant corridor and connects Wilpattu and Kaudulla wildlife sanctuaries. The research objectives are identifying spatial patterns of elephant habitat suitability and probable risk zones for HEC. The elephant habitat suitability and HEC risk zones were identified on spatial and temporal scales using Geographic Information System integrat- ing Multi-Criteria Decision Analysis. Different factors, including habitat suitability, distance to roads, distance to croplands, distance to forests and protected areas, settlements, and population density, were considered to deter- mine HEC risk zones in the area. Topography, water, and vegetation criteria are considered when determining elephant habitat suitability. The results of the Analytic Hierarchy Process run the spatially explicit model. The results revealed that of the total area, 15.3% is very highly suitable for elephant habitats, while the least suitable areas contribute only 4%. About 33.8% of the area is moderately suitable for elephants. The risk map indicates that 23.7% of the total area is under very high risk for HEC, and the least risk areas only account for 5.4%. About 26.2% of the area falls under the moderate risk zone for HEC. Since the model considered three aspects of HEC, it will help policymakers in wildlife conservation to avoid and minimize the HEC. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Analytic hierarchy process en_US
dc.subject Geographic information system en_US
dc.subject Human-elephant conflict en_US
dc.subject Multi-criteria decision analysis en_US
dc.subject Polpitigama en_US
dc.title Indexing habitat suitability and human-elephant conflicts using GIS-MCDA in a human-dominated landscape. en_US
dc.type Article en_US


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