Factors Influencing Year-Class Strength of Percids: A Summary and a Model of Temperature Effects

Koonce, Joseph F.; Bagenal, T. B.; Carline, Robert F.; Hokanson, Kenneth E. F.; Nagięć, Maria

doi:10.1139/f77-256

Cited by 125 publications

(68 citation statements)

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“…Year class strength in larger percids is determined early in life, although there is some debate about the factors responsible (see Koonce et al 1977 for a review). Mortality is probably high for logperch free embryos because of predation on pelagic drifting fish, and failure to begin feeding.…”

Section: Discussionmentioning

confidence: 99%

Early development of the northern logperch, Percina caprodes semifasciata, according to the theory of saltatory ontogeny

Paine

Balon

1984

Environ Biol Fish

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The early development of northern logperch, Percina caprodes mnifasciata, was examined from an ecological perspective and in relation to the theory of saltatory ontogeny. Steps, the intervals of relative homeostasis, separated by thresholds, rapid switches to new form and function resulting from canalization of changes in the preceeding step, are described and related to environmental factors. Adaptive shifts in growth allometries provided further evidence of the saltatory nature of ontogeny. Logperch eggs are small (1.2 mm diameter), demersal, and adhesive. The simple embryonic respiratory system reflects high oxygen availability on the lotic spawning grounds. Hatching occurs early, relative to other darters, and free embryos are pelagic. The small free embryos presumably drift downstream to lentic areas, where small planktonic food is more abundant. Logperch are therefore nonguarding, open substrate spawning lithopelagophils and, along with other Percina species, have not advanced from ancestral percid reproductive styles. Percina species have generally remained in ancestral habitats-rivers and lakes. The close correlation between developmental patterns of logperch and environmental factors is therefore imerpreted as a restriction based on retention of ancestral characteristics, not as evidence of novel adaptations to new habitats.

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Section: Discussionmentioning

confidence: 99%

Early development of the northern logperch, Percina caprodes semifasciata, according to the theory of saltatory ontogeny

Paine

Balon

1984

Environ Biol Fish

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“…Furthermore, environmental factors have greater explanatory power than stock size for recruitment of many fish species (Szuwalski et al 2014), including walleye (e.g., Koonce et al 1977;Beard et al 2003). Forecasting temporal variability is likely to continue to be a challenge because factors influencing year to year variability in recruitment are themselves highly variable and difficult to forecast (Walters and Collie 1988).…”

Section: Predictive Model Of Walleye Recruitmentmentioning

confidence: 99%

Predicting walleye recruitment as a tool for prioritizing management actions

Hansen

Carpenter

Gaeta

et al. 2015

Can. J. Fish. Aquat. Sci.

155

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Abstract:We classified walleye (Sander vitreus) recruitment with 81% accuracy (recruitment success and failure predicted correctly in 84% and 78% of lake-years, respectively) using a random forest model. Models were constructed using 2779 surveys collected from 541 Wisconsin lakes between 1989 and 2013 and predictor variables related to lake morphometry, thermal habitat, land use, and fishing pressure. We selected predictors to minimize collinearity while maximizing classification accuracy and data availability. The final model classified recruitment success based on lake surface area, water temperature degree-days, shoreline development factor, and conductivity. On average, recruitment was most likely in lakes larger than 225 ha. Low degree-days also increased the probability of successful recruitment, but primarily in lakes smaller than 150 ha. We forecasted the probability of walleye recruitment in 343 lakes considered for walleye stocking; lakes with high probability of natural reproduction but recent history of recruitment failure were prioritized for restoration stocking. Our results highlight the utility of models designed to predict recruitment for guiding management decisions, provided models are validated appropriately.Résumé : Un modèle de forêt aléatoire pour la catégorisation du recrutement de dorés jaunes (Sander vitreus) s'est avéré exact dans 81 % des cas (prédiction correcte du succès ou de l'échec du recrutement pour 84 % et 78 % des années-lac, respectivement). Des modèles ont été élaborés à partir de 2779 évaluations obtenues pour 541 lacs du Wisconsin de 1989 à 2013, et de variables prédictives reliées à la morphométrie des lacs, à l'habitat thermique, à l'utilisation du sol et à la pression de pêche. Nous avons sélectionné les variables prédictives de manière à minimiser la colinéarité tout en maximisant l'exactitude de la catégorisation et la disponibilité des données. Le modèle final catégorisait le succès de recrutement en fonction de la superficie du lac, des degrés-jours de température du lac, d'un facteur d'aménagement des berges et de la conductivité. En moyenne, le recrutement était plus probable dans les lacs de plus de 225 ha. De faibles degrés-jours se traduisaient également par une probabilité accrue de succès du recrutement, mais principalement dans les lacs de moins de 150 ha. Nous avons prédit la probabilité de recrutement de dorés jaunes dans 343 lacs considérés comme candidats pour l'ensemencement de dorés; la priorité en ce qui concerne l'ensemencement aux fins de rétablissement a été donnée aux lacs présentant une forte probabilité de reproduction naturelle, mais un historique récent d'échec du recrutement. Nos résultats soulignent l'utilité de modèles conçus pour prédire le recrutement pour ce qui est d'orienter les décisions de gestion, pourvu que ces modèles soient validés adéquatement. [Traduit par la Rédaction]

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“…Kawahara et al8) stated that sampling survey of juvenile squids with mid water trawl is the most desirable method for short-term prediction of ommastrephid squid abundance. On the other hand, for the management of fish resources, anal yses of the relationship between recruitment and environ mental factors, especially those affecting early life stages have been attempted, [9][10][11] and also the prediction of year class strength by multiple regression models. [12][13][14] If year class abundance of the oval squid can be predicted before the main fishing season from environmental factors associ ated with recruitment success, it will be effective for fisheries management of this species.…”

mentioning

confidence: 99%

Relationship between Year-class Abundance of the Oval Squid <i>Sepioteuthis lessoniana</i> and Environmental Factors off Tokushima Prefecture, Japan

Ueta

Tokai²,

Segawa³

1999

Fisheries science

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Factors Influencing Year-Class Strength of Percids: A Summary and a Model of Temperature Effects

Cited by 125 publications

References 0 publications

Early development of the northern logperch, Percina caprodes semifasciata, according to the theory of saltatory ontogeny

Early development of the northern logperch, Percina caprodes semifasciata, according to the theory of saltatory ontogeny

Predicting walleye recruitment as a tool for prioritizing management actions

Relationship between Year-class Abundance of the Oval Squid <i>Sepioteuthis lessoniana</i> and Environmental Factors off Tokushima Prefecture, Japan

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