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Evaluation of the robustness of predictive yield models based on catchment characteristics using GIS for reservoir fisheries in Sri Lanka

Amarasinghe, U. S., De Silva, Sena and Nissanka, C. 2002, Evaluation of the robustness of predictive yield models based on catchment characteristics using GIS for reservoir fisheries in Sri Lanka, Fisheries management and ecology, vol. 9, no. 5, pp. 293-302, doi: 10.1046/j.1365-2400.2002.00307.x.

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Title Evaluation of the robustness of predictive yield models based on catchment characteristics using GIS for reservoir fisheries in Sri Lanka
Author(s) Amarasinghe, U. S.
De Silva, Sena
Nissanka, C.
Journal name Fisheries management and ecology
Volume number 9
Issue number 5
Start page 293
End page 302
Publisher Blackwell Science Ltd
Place of publication Chichester, England
Publication date 2002
ISSN 0969-997X
1365-2400
Keyword(s) catchment fish yield
GIS
Land-use patterns
principal component analysis
yield prediction models
Summary Land-use patterns in the catchment areas of Sri Lankan reservoirs, which were quantified using Geographical Information Systems (GIS), were used to develop quantitative models for yield prediction. The validity of these models was evaluated through the application to five reservoirs that were not used in the development of the models, and by comparing with the actual fish yield data of these reservoirs collected by an independent body. The robustness of the predictive models developed was tested by principal component analysis (PCA) on limnological characteristics, land-use patterns of the catchments and fish yields. The predicted fish yields in five Sri Lankan reservoirs, using the empirical models based on the ratios of forest cover and/or shrub cover to reservoir capacity or reservoir area were in close agreement with the observed fish yields. The scores of PCA ordination of productivity-related limnological parameters and those of land-use patterns were linearly related to fish yields. The relationship between the PCA scores of limnological characteristics and land-use types had the appropriate algebraic form, which substantiates the influence of the limnological factors and land-use types on reservoir fish yields. It is suggested that the relatively high predictive power of the models developed on the basis of GIS methodologies can be used for more accurate assessment of reservoir fisheries. The study supports the importance and the need for an integrated management strategy for the whole watershed to enhance fish yields.
Language eng
DOI 10.1046/j.1365-2400.2002.00307.x
Field of Research 070401 Aquaculture
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2002, Blackwell Science Ltd
Persistent URL http://hdl.handle.net/10536/DRO/DU:30008506

Document type: Journal Article
Collection: School of Ecology and Environment
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