1995
DOI: 10.3354/meps116011
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Annual variation in temperature selection by Atlantic cod Gadus mortiua in the southern Gulf of St. Lawrence, Canada, and its relation to population size

Abstract: Using data from bottom trawl surveys conducted each September in the southern Gulf of St. Lawrence, Canada, we examined variation in the temperature distribution of Atlantic cod Gadus morhua from 1971 to 1991. Distribution and temperature selection were descnbed using the cumulative distribution functions of temperature and of catch of each age class in relation to temperature. Temperature distribution varied widely among years. For example, the median temperature occupied by Age 5 cod ranged from 0.3 to 7S°C… Show more

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Cited by 72 publications
(85 citation statements)
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“…Swain and Kramer (1995) found that cod occupy shallow, warm areas when abundance is low and colder, deeper areas when abundance is high in order to reduce metabolic costs as food rations decline. However, such shifts are not likely for American plaice (Swain and Morin, 1996), because plaice prefer cold temperatures regardless of whether rations are high or low (Morgan, 1993).…”
Section: Discussionmentioning
confidence: 99%
“…Swain and Kramer (1995) found that cod occupy shallow, warm areas when abundance is low and colder, deeper areas when abundance is high in order to reduce metabolic costs as food rations decline. However, such shifts are not likely for American plaice (Swain and Morin, 1996), because plaice prefer cold temperatures regardless of whether rations are high or low (Morgan, 1993).…”
Section: Discussionmentioning
confidence: 99%
“…and yh, is the number of red mullet caught in tow i in stratum h. We calculated the red mullet CDF separately for each age 0 to 2 and for fish age 3 and older (Swain & Krammer 1995).…”
Section: Methodsmentioning
confidence: 99%
“…The test statistic D was defined D = maxlf(t)-g(t)l (maximum absolute vertical distance) when f(t) and g ( t ) were the 2 functions compared at 0.2OC (CDFs of temperature) or 10 m (CDFs of depth) intervals. Significance was assessed using randomization tests (Perry & Smith 1994, Swain & Krammer 1995.…”
Section: Methodsmentioning
confidence: 99%
“…Often however, changes in population abundance (and occupancy) can co-occur with large-scale changes in environmental variables, such as water temperature [10]. In such circumstances, it becomes harder to disentangle the multiple influences on species occupancy, or the degree to which a change in temperature may facilitate or curtail a change in occupancy [11,12]. We contend that densitydependent and density-independent sources of variability affect population spatial distribution in a non-additive fashion, a prediction that we refer to as the non-additive species -environment hypothesis.…”
Section: Introductionmentioning
confidence: 99%