Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/30029
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dc.contributor.authorLayomi Jayasinghe, Sadeekaen
dc.contributor.authorKumar, Laliten
dc.contributor.authorSandamali, Janakien
dc.date.accessioned2021-02-04T03:59:20Z-
dc.date.available2021-02-04T03:59:20Z-
dc.date.issued2019-07-08-
dc.identifier.citationAgriculture, 9(7), p. 1-25en
dc.identifier.issn2077-0472en
dc.identifier.urihttps://hdl.handle.net/1959.11/30029-
dc.description.abstractThe potential land suitability assessment for tea is a crucial step in determining the environmental limits of sustainable tea production. The aim of this study was to assess land suitability to determine suitable agricultural land for tea crops in Sri Lanka. Climatic, topographical and soil factors assumed to influence land use were assembled and the weights of their respective contributions to land suitability for tea were assessed using the Analytical Hierarchical Process (AHP) and the Decision-Making Trail and Evaluation Laboratory (DEMATEL) model. Subsequently, all the factors were integrated to generate the potential land suitability map. The results showed that the largest part of the land in Sri Lanka was occupied by low suitability class (42.1%) and 28.5% registered an unsuitable land cover. Furthermore, 12.4% was moderately suitable, 13.9% was highly suitable and 2.5% was very highly suitable for tea cultivation. The highest proportion of “very highly suitable” areas were recorded in the Nuwara Eliya District, which accounted for 29.50% of the highest category. The model validation results showed that 92.46% of the combined “highly suitable” and “very highly suitable” modelled classes are actual current tea-growing areas, showing the overall robustness of this model and the weightings applied. This result is significant in that it provides effective approaches to enhance land-use efficiency and better management of tea production.en
dc.languageenen
dc.publisherMDPI AGen
dc.relation.ispartofAgricultureen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleAssessment of Potential Land Suitability for Tea (Camellia sinensis (L.) O. Kuntze) in Sri Lanka Using a GIS-Based Multi-Criteria Approachen
dc.typeJournal Articleen
dc.identifier.doi10.3390/agriculture9070148en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameSadeekaen
local.contributor.firstnameLaliten
local.contributor.firstnameJanakien
local.subject.for2008070105 Agricultural Systems Analysis and Modellingen
local.subject.for2008090903 Geospatial Information Systemsen
local.subject.for2008070104 Agricultural Spatial Analysis and Modellingen
local.subject.seo2008960504 Ecosystem Assessment and Management of Farmland, Arable Cropland and Permanent Cropland Environmentsen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailljayasi2@myune.edu.auen
local.profile.emaillkumar@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeSwitzerlanden
local.identifier.runningnumber148en
local.format.startpage1en
local.format.endpage25en
local.peerreviewedYesen
local.identifier.volume9en
local.identifier.issue7en
local.access.fulltextYesen
local.contributor.lastnameLayomi Jayasingheen
local.contributor.lastnameKumaren
local.contributor.lastnameSandamalien
dc.identifier.staffune-id:lkumaren
local.profile.orcid0000-0002-9205-756Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/30029en
dc.identifier.academiclevelStudenten
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleAssessment of Potential Land Suitability for Tea (Camellia sinensis (L.) O. Kuntze) in Sri Lanka Using a GIS-Based Multi-Criteria Approachen
local.relation.fundingsourcenoteThis research was supported by the Australian Government Research Training Program (AGRTP) Stipend Scholarship.en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorLayomi Jayasinghe, Sadeekaen
local.search.authorKumar, Laliten
local.search.authorSandamali, Janakien
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/36d07d53-fde5-4e61-90a6-cd9eb9c05e4fen
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.identifier.wosid000478763300001en
local.year.published2019en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/36d07d53-fde5-4e61-90a6-cd9eb9c05e4fen
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/36d07d53-fde5-4e61-90a6-cd9eb9c05e4fen
local.subject.for2020300207 Agricultural systems analysis and modellingen
local.subject.for2020401302 Geospatial information systems and geospatial data modellingen
local.subject.for2020300206 Agricultural spatial analysis and modellingen
local.subject.seo2020180601 Assessment and management of terrestrial ecosystemsen
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School of Environmental and Rural Science
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