Food abundance and territory size in juvenile coho salmon (Oncorhynchus kisutch)

1981 ◽  
Vol 59 (9) ◽  
pp. 1801-1809 ◽  
Author(s):  
Lawrence M. Dill ◽  
Ronald C. Ydenberg ◽  
Alex H. G. Fraser

Feeding territory size and potential food abundance were measured simultaneously in a field population of juvenile (40–50 mm) coho salmon. Territory size was inversely related to the density of benthic food on the territory, as predicted from an energy-based model of territoriality. The relationship between the abundance of drift food and territory size was in the predicted direction, but was not significant. Territories were also smaller where intruder pressure was higher, but intrusion rate and food abundance were not directly correlated. Therefore, the effect of food abundance on territory size was not caused indirectly by attraction of nonterritorial fish to areas where food was abundant. In the laboratory, the distance from which a resident coho attacked an approaching model intruder increased asymptotically with hunger. The fish therefore appear to possess an appropriate behavioural mechanism (tactic) to adjust territory size to local food abundance.

1983 ◽  
Vol 40 (4) ◽  
pp. 516-523 ◽  
Author(s):  
Jerry Clark ◽  
Bruce McCarl

This study examines aggregate relationships between coho salmon (Oncorhynchus kisutch) adult production and hatchery releases within the Oregon Index Area (OIA). Previous analyses have indicated the presence of density dependence, and concluded with a request for a reduction in hatchery smolt releases. The hypothesis that density dependence is exhibited in the OIA is tested via a broad correlation approach. Several regression models are used including one unique one in fisheries research based on limiting factors.Analysis was done on the fitted regression equations including a simple simulation of release policies. Neither significant density dependence nor a statistically supportable technical maximum for smolt releases was found. The limiting factors regression technique generally gives the best results of all the models employed, and thus appears potentially useful in this type of fisheries work.


1991 ◽  
Vol 48 (3) ◽  
pp. 493-497 ◽  
Author(s):  
James A. Servizi ◽  
Dennis W. Martens

Tolerance of underyearling coho salmon (Oncorhynchus kisutch) to Fraser River suspended sediments (SS) at 7 °C was independent of season of the year. However, coho of 0.52 g (4.0 cm) possessed only 35% of the tolerance of larger specimens. Tolerance to SS was temperature dependent, with 96-h LC50 at 1 and 18 °C being 47 and 33%, respectively, of the value at 7 °C. Tolerance was further reduced among underyearling coho which were later found to have a viral kidney infection. Cough reflex, oxygen transfer, oxygen saturation levels, metabolic rates, and capacity to do work all probably affect the relationship between SS tolerance and temperature.


1984 ◽  
Vol 41 (11) ◽  
pp. 1546-1551 ◽  
Author(s):  
K. J. Puckett ◽  
L. M. Dill

The relationship between oxygen consumption rate (milligrams per kilogram per hour) and sustained swimming speed (calculated from tailbeat frequency) was determined for 1.2-g juvenile coho salmon (Oncorhynchus kisutch) at 15 °C. The data are best described by the following equation: log oxygen consumption rate = 2.2 + 0.13 (body lengths-s−1). This relationship is very similar to that extrapolated for sockeye salmon (O. nerka) of the same size, thus potentially enabling researchers to utilize the extensive sockeye data base to predict metabolic rates of coho. The oxygen consumption rate during burst swimming (9 body lengths∙s−1) was also determined. The burst swimming metabolic rate (38 000 mgO2∙kg−1∙h−1) is nearly 40 times greater than the maximum sustained swimming metabolic rate.


1999 ◽  
Vol 56 (12) ◽  
pp. 2362-2373 ◽  
Author(s):  
Guillermo R Giannico ◽  
Michael C Healey

We investigated the mechanisms affecting habitat choice by juvenile coho salmon (Oncorhynchus kisutch) in relation to the patchy distribution of food and cover. We tested the following hypotheses: (i) the distribution of juvenile coho, both between patches in a pool and between separate pools in a channel, corresponds numerically to the food input rate of those habitat patches as predicted by the "input-matching rule" of ideal free distribution (IFD) and (ii) the addition of instream cover, by increasing visual isolation among competitors, promotes input matching both within and between pools. We conducted our experimental work in artificial channels and we used two different types of cover, instream and overhead. In the absence of cover and with either no differences or relatively small differences in food abundance between patches, the spatial distribution of juvenile coho responded numerically to the input rate of food as predicted by the IFD. However, when differences in food abundance between patches were relatively large or cover was present, fish distributions consistently undermatched food input rate in the rich patch. Coho foraged in open patches away from cover within single pools but preferred pools with cover when choosing between separate pools. Several IFD models were used to examine the observed dispersion patterns.


2005 ◽  
Vol 62 (8) ◽  
pp. 1691-1701 ◽  
Author(s):  
Jordan S Rosenfeld ◽  
Thomas Leiter ◽  
Gerhard Lindner ◽  
Lorne Rothman

To understand how fish density and food availability affect habitat selection and growth of juvenile coho salmon (Oncorhynchus kisutch), we manipulated fish density (2–12 fish·m–2) and natural invertebrate drift (0.047–0.99 mg·m–3) in 12 experimental stream channels constructed in a side-channel of Chapman Creek, British Columbia. Increased food resulted in increased growth of both dominant and subdominant fish and a shift to higher average focal velocities (from 6.5 to 8.4 cm·s–1) with maximum growth in the range of 10–12 cm·s–1. Increased food appears to permit juvenile coho to exploit higher velocity microhabitats that might otherwise be bioenergetically unsuitable at lower food levels. Increased fish density resulted in lower growth of subdominant but not of dominant fish and a general displacement of fish to both higher and lower focal velocities. The shapes of habitat suitability curves were sensitive to food abundance, implying that differences in food availability may affect transferability of habitat suitability curves between streams of different productivity. While habitat suitability curves captured the change in extent of available habitat following prey enrichment, actual increases in growth rate with enrichment (i.e., changes in habitat quality) were poorly represented by habitat suitability values and better represented by bioenergetic model predictions.


2006 ◽  
Vol 63 (4) ◽  
pp. 917-930 ◽  
Author(s):  
Dirk W Lang ◽  
Gordon H Reeves ◽  
James D Hall ◽  
Mark S Wipfli

This study examined the influence of fall-spawning coho salmon (Oncorhynchus kisutch) on the density, growth rate, body condition, and survival to outmigration of juvenile coho salmon on the Copper River Delta, Alaska, USA. During the fall of 1999 and 2000, fish rearing in beaver ponds that received spawning salmon were compared with fish from ponds that did not receive spawners and also with fish from ponds that were artificially enriched with salmon carcasses and eggs. The response to spawning salmon was variable. In some ponds, fall-spawning salmon increased growth rates and improved the condition of juvenile coho salmon. The enrichment with salmon carcasses and eggs significantly increased growth rates of fish in nonspawning ponds. However, there was little evidence that the short-term growth benefits observed in the fall led to greater overwinter growth or survival to outmigration when compared with fish from the nonspawning ponds. One potential reason for this result may be that nutrients from spawning salmon are widely distributed across the delta because of hydrologic connectivity and hyporheic flows. The relationship among spawning salmon, overwinter growth, and smolt production on the Copper River Delta does not appear to be limited entirely to a simple positive feedback loop.


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