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Implications of territory size for the measurement and prediction of salmonid abundance in streams

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Implications of territory size for the measurement and prediction of salmonid abundance in streams

Grant, James W.A. and Steingrímsson, Stefán Ó. and Keeley, Ernest Robert and Cunjak, R.A. (1998) Implications of territory size for the measurement and prediction of salmonid abundance in streams. Canadian Journal of Fisheries and Aquatic Sciences, 55 (S1). pp. 181-190. ISSN 0706-652X

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Official URL: http://dx.doi.org/10.1139/d98-018

Abstract

Information about territory size is useful for both the measurement and prediction of salmonid abundance. Percent habitat saturation (PHS), the percentage of the stream area occupied by the territories of salmonid fishes, is a better measure of abundance than population density because the former integrates the effects of (a) several age-classes or species in a stream, and (b) variation in growth rate or sampling date. "Effective density" or "effective PHS," calculated by weighting crude density (no.·m-2) or PHS by the number of organisms in the sampling unit, more accurately reflects density from the organism's point of view than does crude density or PHS. Effective density and PHS of Atlantic salmon (Salmo salar) in Catamaran Brook, New Brunswick, increased by 0.4 fish per m2 and 4%, respectively, for each order of magnitude decrease in the area of the sampling unit. Literature data suggested that territory size is inversely related to food abundance and can be used to predict changes in salmonid abundance that accompany changes in food abundance. The allometry of territory size was a better predictor of the decline in density of a cohort of Atlantic salmon in Catamaran Brook than the allometry of metabolic requirements.

Divisions:Concordia University > Faculty of Arts and Science > Biology
Item Type:Article
Refereed:Yes
Authors:Grant, James W.A. and Steingrímsson, Stefán Ó. and Keeley, Ernest Robert and Cunjak, R.A.
Journal or Publication:Canadian Journal of Fisheries and Aquatic Sciences
Date:1998
ID Code:7550
Deposited By:DANIELLE DENNIE
Deposited On:10 May 2011 16:50
Last Modified:10 May 2011 16:50
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