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dc.creatorPalomares, M.L.
dc.creatorPauly, D.
dc.date.accessioned2019-04-22T04:44:32Z
dc.date.available2019-04-22T04:44:32Z
dc.date.issued1989
dc.identifier.citationAustralian Journal of Marine and Freshwater Research, 40 (3): 259-273
dc.identifier.issn1323-1650
dc.identifier.urihttps://hdl.handle.net/20.500.12348/3227
dc.description.abstractThe construction of trophic (food web) models of ecosystems, as needed for both theoretical and practical purposes such as fisheries management, requires estimates of food consumption (Q) by each of the various species (groups) included in the model. These estimates are usually required on a per-biomass (B) basis, i.e. as estimates of the ratio of the food consumed to the weight of the consumers (Q/B) during a stated period. For estimates of Q/B to be most useful, they must take account of: (i) seasonal fluctuations of food intake; (ii) the age/size structure of the population; and (iii) the type of food consumed. In this study, 33 estimates of Q/B are reviewed, and an empirical multiple regression model for prediction of Q/B is presented.
dc.formatapplication/pdf
dc.languageEn
dc.publisherCSIRO
dc.sourceAustralian Journal of Marine and Freshwater Research
dc.titleA multiple regression model for predicting the food consumption of marine fish populations
dc.typeJournal Article
dcterms.bibliographicCitationPalomares, M.L.; Pauly, D. (1989). A multiple regression model for predicting the food consumption of marine fish populations. Australian Journal of Marine and Freshwater Research, 40 (3): 259-273
dc.description.versionPeer Review
cg.identifier.worldfish1337
cg.subject.agrovocsaltwater fishes
cg.subject.worldfishmarine fish
cg.identifier.statusLimited access
cg.identifier.ISIindexedISI indexed
cg.description.themeSustainable aquaculture
cg.identifier.urlhttp://www.publish.csiro.au/MF/MF9890259


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