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https://hdl.handle.net/20.500.12348/2566
Predicting food consumption of fish populations as functions of mortality, food type, morphometrics, temperature and salinity
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 [2735]
Date
- 1998
Author
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Palomares, M.L.D.
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Pauly, D.
AGROVOC Keywords
Type
- Journal Article
Publisher
- CSIRO