J. Fish. Aquas. See'., Vol. 46, P989. 1859. Can. J. Fish. Aquat. Sci. Downloaded from www.nrcresearchpress.com by Renmin University of China on 06/07/13.
mportance of Adivity in Bioenergetics Mode Adively Foraging Fishes' D. ~oisclair'and W. C. Leggett Can. J. Fish. Aquat. Sci. Downloaded from www.nrcresearchpress.com by Renmin University of China on 06/07/13 For personal use only.
Department of Biology, McCiBl University, 1205 Ave. Dr. Pen field, Montreal, Que. H3A B B 1
Bsisciair, D., and W. C. Leggett, 1989. The importance of activity in bioenergetics models applied to actively foraging fishes. Can. j. Fish. Aquat. Sci. 46: 1859-1 867. We used the Kitcheil et a(. 0. Fish. Res. Board Can. 34: 1922-1935) bioenergetics model and field derived estimates of g r o ~ and h consumption rates to estimate the quantity of energy allocated to activity by 28 csmbinations of yellow perch (Perca d%avescews)age class and population. Activity costs among populations ranged from O to 40% of the p r c h bioenergetics budget. We further evaluated the influence of activity rates on the food consumptionestimates predicted by the Kitchell et al. mode! and the model proposedby Kerr (Can. ). Fish. Aquat. Sci. 39: 37'8-379). As suggested by Kerr, activity costs increased as f d consumption increased. However, we found no significant relationship between predicted and obsewd food consumption estimates for either model. The magnitude of, and the among-population variance in, the quantity of energy allocated to activity is consistent with our hypothesis that this component of the bioenergetics budget of fishes has the potential to contribute meaningfully to the explanation of inter-populationdifferences in perch growth and, by extension, to the variance in growth of other actively foraging fish species. Nous avons utilis4 le mod&le bidnergktique de Kitchell et a%.U. Fish. Res. Board Can. 34: 1922-1 935) et des $onn&s de terrain sur les taux de croissawce et de nutrition pour estimer les taux d'activite de 28 combinaisons de classes d'iiges et de ppamlations de prckaucks (Perca dlavescegas). Les coots relies A ('activite ont varie, selon Bes populations, entre 8% 40% du budget bnergetique des perchaudes. Nous avons aussi 4valu6 I'influence des taux d'activite sanr les predictions d s taux de consommation de noarrritglre des rnod$les de Kitchell et al. et de Kers (Can. 1. Fish. Aquat. Ssi. 39: 371-3791. Tel que saaggere par #err, les taux d'activite ont augment$ avec les taux de consommation de nourriture. Nous n'avons pas trouve de relation significativeentre les valeerrs predites et obsewees des taux de consommatiow de nourriture pour aucuw des deux md&les. L'irnportance et la variabilite inter-population de la quantite d'energie aIOou& a 11activit4indiquent que cette compsante des rnd6les bisenergetiques peut grandernent contribuer A la variabilite inter-population de la ctoissance des perchaudes, et par extension, celle d'autres esp&ces de poissons qui s'alirnentent de f a ~ o nactive. Received November 18, 1988 Accepted july 5, 1989
(J9947)
e recently analyzed the combined influence of the quantity sf fwd consumed, diet composition and fish density ow fish growth (Boisclair and Leggett These mdyses led us to hypothesize that energy costs associated with activity were major contributors to interpopulation differences in the growth of yellow perch (Perm flmescem) a d , by extension, to other p l d ~ v o m u sand/or bnthivorous fishes. For this hypothesis to be valid, activity costs must account for a large and variable fraction of the bioenergetics budget of perch. Direct assessments of the absolute and relative quantities of energy allocated to activity in fie living fishes are lacking, presumably because of the logistic difficulties involved. For this reason, the activity component of bioenergetics models is generally assumed a d , unlike the situation for most other 'A contribution of the Limology Research Centr, McGi11 University, Montreal, Qw. 'Resent address: Salmon Division, Canada Department of fisheries
md &ems, Pacific Biological Station, N d o , B.C. V9R 5KQ. Beginning Jan. 19%: IXpamewt sciences bioloaques , Blmnivenit6 de Month$d, C.P. 61 26, Succ e O .01) and intercepts significantly different fmm 0 (age I : t, = 8.25; P
