Influence of Variable Interannual Summer Water Temperatures on Brook Trout Growth, Consumption, Reproduction, and Mortality in an Unstratified Adirondack Lake

Robinson, Jason M.; Josephson, Daniel C.; Weidel, Brian C.; Kraft, Clifford E.

doi:10.1577/t08-185.1

Cited by 52 publications

(57 citation statements)

References 61 publications

(88 reference statements)

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“…Quist et al (2004) suggested that elevation acts as a proxy for temperature, which influences the survival, growth, reproduction, and distribution of fish (Buisson et al 2008;Lyons et al 2010;Robinson et al 2010). Although elevation probably does not act as a surrogate measure for temperature in Iowa, differences in elevation likely correspond to differences in underlying geology and climate across the state.…”

Section: Discussionmentioning

confidence: 99%

Habitat Associations of Fish Species of Greatest Conservation Need at Multiple Spatial Scales in Wadeable Iowa Streams

Sindt

Quist

Pierce

2012

N American J Fish Manag

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Fish and habitat data were collected from 84 wadeable stream reaches in the Mississippi River drainage of Iowa to predict the occurrences of seven fish species of greatest conservation need and to identify the relative importance of habitat variables measured at small (e.g., depth, velocity, and substrate) and large (e.g., stream order, elevation, and gradient) scales in terms of their influence on species occurrences. Multiple logistic regression analysis was used to predict fish species occurrences, starting with all possible combinations of variables (5 large-scale variables, 13 small-scale variables, and all 18 variables) but limiting the final models to a maximum of five variables. Akaike's information criterion was used to rank candidate models, weight model parameters, and calculate model-averaged predictions. On average, the correct classification rate (CCR = 80%) and Cohen's kappa (κ = 0.59) were greatest for multiple-scale models (i.e., those including both largescale and small-scale variables), intermediate for small-scale models (CCR = 75%; κ = 0.49), and lowest for large-scale models (CCR = 73%; κ = 0.44). The occurrence of each species was associated with a unique combination of large-scale and small-scale variables. Our results support the necessity of understanding factors that constrain the distribution of fishes across spatial scales to ensure that management decisions and actions occur at the appropriate scale. RightsWorks produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted. AbstractFish and habitat data were collected from 84 wadeable stream reaches in the Mississippi River drainage of Iowa to predict the occurrences of seven fish species of greatest conservation need and to identify the relative importance of habitat variables measured at small (e.g., depth, velocity, and substrate) and large (e.g., stream order, elevation, and gradient) scales in terms of their influence on species occurrences. Multiple logistic regression analysis was used to predict fish species occurrences, starting with all possible combinations of variables (5 large-scale variables, 13 small-scale variables, and all 18 variables) but limiting the final models to a maximum of five variables. Akaike's information criterion was used to rank candidate models, weight model parameters, and calculate model-averaged predictions. On average, the correct classification rate (CCR = 80%) and Cohen's kappa (κ = 0.59) were greatest for multiple-scale models (i.e., those including both large-scale and small-scale variables), intermediate for small-scale models (CCR = 75%; κ = 0.49), and lowest for large-scale models (CCR = 73%; κ = 0.44). The occurrence of each species was associated with a unique combination of large-scale and small-scale variables. Our results support the necessity of understanding factors that constrain the distribution of fishes across spatial scales to ensure that management decisions and actio...

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Section: Discussionmentioning

confidence: 99%

Habitat Associations of Fish Species of Greatest Conservation Need at Multiple Spatial Scales in Wadeable Iowa Streams

Sindt

Quist

Pierce

2012

N American J Fish Manag

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“…The availability of suitable thermal habitat affects total sustained yield of fish in temperate lakes (Christie and Regier 1988), and in salmonids, high temperatures may affect several physiological processes detrimentally, including feeding, growth, and reproduction (Myrick and Cech 2000;Pankhurst and King 2010;Robinson et al 2010). Fish can avoid detrimental warm temperatures in thermally stratified lakes by occupying the cooler hypolimnion, but only if the oxygen regime is favourable (Budy et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Growth of rainbow trout (Oncorhynchus mykiss) in warm-temperate lakes: implications for environmental change

BlairJennifer

Ostrovsky

Hicks

et al. 2013

Can. J. Fish. Aquat. Sci.

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To predict potential effects of climate and anthropogenic impacts on fish growth, we compared growth rates of rainbow trout (Oncorhynchus mykiss) in nine closely located warm-temperate lakes of contrasting morphometry, stratification and mixing regime, and trophic state. Analyses of long-term mark-recapture data showed that in deep oligotrophic and mesotrophic lakes, trout growth rates increased with increasing indices of lake productivity. In contrast, in shallow eutrophic lakes, where fish habitat volume is constrained by temperature and dissolved oxygen, trout growth rates declined with increasing productivity. Growth rates were higher in lakes with greater volumes of favourable habitat (i.e., dissolved oxygen > 6.0 mg·L −1 and temperature < 21°C) and lower in lakes with increased turbidity, chlorophyll a, and nitrogen concentrations. Our findings suggest that increases in lake productivity and temperatures as a result of global climatic change are likely to be more detrimental to salmonid habitat quality in shallower, productive lakes, while salmonids will better endure such changes in deeper, oligotrophic lakes. Fishery managers can use this information to aid future stocking decisions for salmonid fisheries in warm-temperate climates.Résumé : Afin de prédire les éventuels effets des impacts climatiques et anthropiques sur la croissance des poissons, nous avons comparé les taux de croissance de la truite arc-en-ciel (Oncorhynchus mykiss) dans neuf lacs chauds-tempérés rapprochés présent-ant des différences sur le plan de la morphométrie, de la stratification, du régime de mélange et de l'état trophique. Des analyses de données de marquage-recapture de longue durée ont démontré que, dans les lacs oligotrophes et mésotrophes profonds, les taux de croissance des truites augmentaient parallèlement à l'augmentation de l'indice de productivité des lacs. En revanche, dans les lacs eutrophes peu profonds dans lesquels le volume des habitats des poissons est limité par la température et l'oxygène dissous, les taux de croissance des truites diminuaient à mesure que la productivité augmentait. Les taux de croissance étaient plus élevés dans les lacs présentant des volumes plus importants d'habitats favorables (c.-à -d. oxygène dissous >6,0 mg·L −1 et température <21°C) et plus faibles dans les lacs présentant une plus grande turbidité et de plus fortes concentrations de chlorophylle a et d'azote. Nos résultats donnent à penser que les augmentations de la productivité et de la température des lacs découlant des changements climatiques planétaires devraient s'avérer plus néfastes pour la qualité et le volume des habitats de salmonidés dans les lacs productifs moins profonds, alors que les salmonidés dans les lacs oligotrophes plus profonds supporteront mieux ces changements. Les gestionnaires des pêches peuvent utiliser cette information pour éclairer leurs décisions d'empoissonnement futures pour les pêches aux salmonidés dans les régions au climat chaud-tempéré. [Traduit par la Rédaction]

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“…The weak influence of stream temperature may be due to the fact that study sites were mostly thermally suitable for brook trout. Hartman and Cox (2008) reported that metabolic rates of brook trout declined sharply above 20°C in a laboratory setting, and wild brook trout populations suffer when stream temperature exceeds 20°C for an extended period (Stranko et al 2008;Robinson et al 2010). In comparison, summer mean temperature in 2008 was 18.7°C (5th to 95th percentiles: 17.8-19.2°C) in JHSB and 19.0°C (18.0-21.0°C) in KFB, and stream temperature was lower in 2009 (Table 1).…”

Section: Discussionmentioning

confidence: 99%

Spatial variability in adult brook trout (Salvelinus fontinalis) survival within two intensively surveyed headwater stream networks

Kanno

Letcher

Vokoun

et al. 2014

Can. J. Fish. Aquat. Sci.

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Headwater stream networks are considered heterogeneous riverscapes, but it is challenging to characterize spatial variability in demographic rates. We estimated site-scale (50 m) survival of adult (>age 1+) brook trout (Salvelinus fontinalis) within two intensively surveyed headwater stream networks by applying an open-population N-mixture approach to count data collected over two consecutive summers. The estimated annual apparent survival rate was 0.37 (95% CI: 0.28-0.46) in one network and 0.31 (95% CI: 0.15-0.45) in the other network. In both networks, trout survival was higher in stream sites characterized by more abundant pool habitats. Trout survival was negatively associated with mean depth in one network and positively associated with stream gradient in the other. Stream temperature was not related to trout survival in either network, possibly because the majority of sites were thermally suitable. A similar analytical approach can be useful for inferring survival rates when count data are available over space and time but individual tagging is not feasible. Résumé :Si les réseaux hydrographiques de tête de bassin sont considérés comme étant des paysages fluviaux hétérogènes, la caractérisation de la variabilité spatiale des taux démographiques constitue un défi. Nous avons estimé le taux de survie à l'échelle du site (50 m) des ombles de fontaine (Salvelinus fontinalis) adultes (âge> 1+ an) dans deux réseaux hydrographiques de tête de bassin intensément étudiés en appliquant une approche de mélange de N de populations ouvertes à des données de comptage recueillies sur deux étés consécutifs. Des taux de survie annuelle apparents de 0,37 (IC à 95 % : 0,28-0,46) et 0,31 (IC à 95 % : 0,15-0,45) ont respectivement été estimés pour les deux réseaux. Dans ces deux réseaux, la survie des ombles était plus élevée dans les sites caractérisés par des habitats de fosses plus abondants. La survie des ombles était négativement associée à la profondeur moyenne dans un réseau et positivement associée au gradient des cours d'eau dans l'autre. La température du cours d'eau n'était par reliée à la survie des ombles dans l'un ou l'autre des réseaux, possiblement en raison du fait que la majorité des sites étaient convenables sur le plan thermique. Une telle approche analytique peut être utile pour estimer les taux de survie quand des données de comptage dans le temps et l'espace sont disponibles, mais que le marquage individuel n'est pas envisageable. [Traduit par la Rédaction]

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Influence of Variable Interannual Summer Water Temperatures on Brook Trout Growth, Consumption, Reproduction, and Mortality in an Unstratified Adirondack Lake

Cited by 52 publications

References 61 publications

Habitat Associations of Fish Species of Greatest Conservation Need at Multiple Spatial Scales in Wadeable Iowa Streams

Habitat Associations of Fish Species of Greatest Conservation Need at Multiple Spatial Scales in Wadeable Iowa Streams

Growth of rainbow trout (Oncorhynchus mykiss) in warm-temperate lakes: implications for environmental change

Spatial variability in adult brook trout (Salvelinus fontinalis) survival within two intensively surveyed headwater stream networks

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