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Use of geographical information systems as a tool for predicting fish yield in tropical reservoirs: case study on Sri Lankan reservoirs
Author(s) -
De Silva S. S.,
Amarasinghe U. S.,
Nissanka C.,
Wijesooriya W. A. D. D.,
Fernando M. J. J.
Publication year - 2001
Publication title -
fisheries management and ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.693
H-Index - 55
eISSN - 1365-2400
pISSN - 0969-997X
DOI - 10.1046/j.1365-2400.2001.00221.x
Subject(s) - fishing , temperate climate , land cover , environmental science , land use , shrub , geography , hydrology (agriculture) , fishery , ecology , biology , geology , geotechnical engineering
Use of geographical information systems (GIS) in inland fisheries has hitherto been essentially restricted to site evaluation for aquaculture development and assessment of limnological changes in time and space in individual water bodies. The present GIS study was conducted on the land‐use pattern of the catchments of nine reservoirs in Sri Lanka, for which detailed fishery data, viz. yield, fishing intensity, landing size of major constituent species, together with selected limnological data such as conductivity and chlorophyll‐ a , were available. Potential statistical relationships (linear, curvilinear, exponential and second‐order polynomial) of fish yield ( FY , in kg ha −1 yr −1 ) to different land‐use patterns, such as forest cover ( FC , in km 2 ) and shrub‐land ( SL , in km 2 ), either singly, or in combination, and/or the ratio of each land type to reservoir area ( RA in km 2 ) and reservoir capacity ( RC in km 3 ), were explored. Highly significant relationships were evident between FY to the ratio of SL and/or FC + SL to RA and/or RC . Similarly, the above land‐use types to RA and RC ratios were significantly related to limnological features of the reservoirs. The relationships of FY to various parameters obtained in this study were much better correlated than those relationships of FY to limnological and biological parameters used in yield prediction in tropical and temperate lacustrine waters previously.