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Fish yield prediction based on catchment features, quantified using Geographical Information Systems, in lowland reservoirs of Sri Lanka

Amarasinghe, Upali, De Silva, Sena and Nissanka, Chandana 2002, Fish yield prediction based on catchment features, quantified using Geographical Information Systems, in lowland reservoirs of Sri Lanka, in GIS-spatial analyses in fishery and aquatic sciences (volume 2) : proceedings of the Second International Symposium on GIS-Spatial Analyses in Fishery and Aquatic Sciences (University of Sussex, Brighton, UK : 3-6 September 2002), Fishery-Aquatic GIS Research Group, Kawagoe-City, Saitama, Japan, pp. 499-514.

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Title Fish yield prediction based on catchment features, quantified using Geographical Information Systems, in lowland reservoirs of Sri Lanka
Author(s) Amarasinghe, Upali
De Silva, Sena
Nissanka, Chandana
Conference name International Symposium on GIS-Spatial Analyses in Fishery and Aquatic Sciences (2nd : 2002 : Brighton, England)
Conference location Brighton, England
Conference dates 3-6 Sep. 2002
Title of proceedings GIS-spatial analyses in fishery and aquatic sciences (volume 2) : proceedings of the Second International Symposium on GIS-Spatial Analyses in Fishery and Aquatic Sciences (University of Sussex, Brighton, UK : 3-6 September 2002)
Editor(s) Nishida, Tom
Kailoloa, Particia
Hollingworth, Chuck
Publication date 2002
Start page 499
End page 514
Publisher Fishery-Aquatic GIS Research Group
Place of publication Kawagoe-City, Saitama, Japan
ISBN 4990237706
9784990237707
Language eng
Field of Research 070499 Fisheries Sciences not elsewhere classified
Socio Economic Objective 830199 Fisheries - Aquaculture not elsewhere classified
HERDC Research category E2 Full written paper - non-refereed / Abstract reviewed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30014251

Document type: Conference Paper
Collection: School of Ecology and Environment
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