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    Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12348/2566

    Predicting food consumption of fish populations as functions of mortality, food type, morphometrics, temperature and salinity

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    Abstract
    • A large data set of relative food-consumption estimates (Q/B) of marine and freshwater fish populations (n = 108 populations, 38 species) is documented and used to derive a predictive model for Q/B, using asymptotic weight, habitat temperature, a morphological variable and food type as independent variables. Salinity is shown to have no effect on Q/B in fish well adapted to fresh or salt water (other things being equal), while mortality (Z), has a strong, positive effect on Q/B and on gross food-conversion efficiency (defined by GE = Z/(Q/B)), by affecting the ratio of small:large fish. The empirical models thus derived should be useful for parameterization of trophic models of ecosystems and similar applications.
    • External link to download this item: http://www.publish.csiro.au/paper/MF98015.htm
    Collections
    • Sustainable aquaculture [1833]
    Date
    • 1998
    Author
    • Palomares, M.L.D.
    • Pauly, D.
    AGROVOC Keywords
    • freshwater; saltwater fishes; salinity
    Type
    • Journal Article
    Publisher
    • CSIRO
    Metadata
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