Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/30029
Title: Assessment of Potential Land Suitability for Tea (Camellia sinensis (L.) O. Kuntze) in Sri Lanka Using a GIS-Based Multi-Criteria Approach
Contributor(s): Layomi Jayasinghe, Sadeeka (author); Kumar, Lalit  (author)orcid ; Sandamali, Janaki (author)
Publication Date: 2019-07-08
Open Access: Yes
DOI: 10.3390/agriculture9070148
Handle Link: https://hdl.handle.net/1959.11/30029
Abstract: The 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.
Publication Type: Journal Article
Source of Publication: Agriculture, 9(7), p. 1-25
Publisher: MDPI AG
Place of Publication: Switzerland
ISSN: 2077-0472
Fields of Research (FoR) 2008: 070105 Agricultural Systems Analysis and Modelling
090903 Geospatial Information Systems
070104 Agricultural Spatial Analysis and Modelling
Fields of Research (FoR) 2020: 300207 Agricultural systems analysis and modelling
401302 Geospatial information systems and geospatial data modelling
300206 Agricultural spatial analysis and modelling
Socio-Economic Objective (SEO) 2008: 960504 Ecosystem Assessment and Management of Farmland, Arable Cropland and Permanent Cropland Environments
Socio-Economic Objective (SEO) 2020: 180601 Assessment and management of terrestrial ecosystems
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Environmental and Rural Science

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