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Journal Article: Combining a Bayesian nonparametric method with a hierarchical framework to estimate individual and temporal variation in growth, Sigourney et al. 2012
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Sigourney, D. B., S. B. Munch, and B. H. Letcher. 2012. Combining a Bayesian nonparametric method with a hierarchical framework to estimate individual and temporal variation in growth. Ecological Modelling 247:125–134.
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Forecasting Changes in Aquatic Systems and Resilience of Brook Trout
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Journal Article: Environmental Factors Affecting Brook Trout Occurrence in Headwater Stream Segments
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We analyzed the associations of catchment-scale and riparian-scale environmental factors with occurrence of Brook Trout Salvelinus fontinalis in Connecticut headwater stream segments with catchment areas of <15 km2 hierarchical Bayesian approach was applied to a statewide stream survey data set, in which Brook Trout detection probability was incorporated and statistical significance of environmental covariates was based on 95% credible intervals of estimated coefficients that did not overlap a value of zero. Forested land at the catchment scale was the most important covariate affecting Brook Trout occurrence; i.e., heavily forested catchments with corresponding low levels of developed and impervious land area were more likely to be occupied by Brook Trout. Coarse surficial geology (an indicator of groundwater potential) and stream slope had significantly positive effects on occurrence, whereas herbaceous plant cover and wetland and open water area had significantly negative effects. Catchment-scale and riparian-scale covariates were highly correlated in many instances, and no riparian-scale covariate was retained in the final model. Detection probability of Brook Trout at the stream-segment scale was high (mean, 0.85). Our model had a high predictive ability, and the mean value of receiver operating characteristic area under the curve was 0.80 across 100 leave-some-out iterations. The fine spatial grain of this study identified patches of suitable stream habitat for Brook Trout in Connecticut, particularly in the northwestern part. Our analysis revealed a more optimistic status of Brook Trout in Connecticut than did a coarser-grained analysis across the USA.
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Forecasting Changes in Aquatic Systems and Resilience of Brook Trout
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Journal Article: Estimating size-specific brook trout abundance, Kanno et al. 2012
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Kanno, Y., J. C. Vokoun, K. E. Holsinger, and B. H. Letcher. 2012. Estimating size-specific brook trout abundance in continuously sampled headwater streams using Bayesian mixed models with zero inflation and overdispersion. Ecology of Freshwater Fish:1–16.
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Forecasting Changes in Aquatic Systems and Resilience of Brook Trout
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Journal Article: Fragmentation and patch size shape genetic structure of brook trout populations
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Article
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Forecasting Changes in Aquatic Systems and Resilience of Brook Trout
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Journal Article: Linking movement and reproductive history of brook trout to assess habitat connectivity
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Kanno, Y., B.H. Letcher, J.A. Coombs, K.H. Nislow, and A.R. Whiteley. 2014. Linking movement and reproductive history of brook trout to assess habitat connectivity in a heterogenous stream network. Freshwater Biology 59: 142-154.
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Forecasting Changes in Aquatic Systems and Resilience of Brook Trout
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Journal Article: Modeling structured population dynamics using data from unmarked individuals
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Article
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Forecasting Changes in Aquatic Systems and Resilience of Brook Trout
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Journal Article: Paired stream-air temperature measurements reveal fine-scale thermal heterogeneity, Kanno et al. 2013
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Kanno, Y., J. C. Vokoun, and B. Letcher. 2013. Paired stream-air temperature measurements reveal fine-scale thermal heterogeneity within headwater brook trout streams networks. River Research and Applications 10.1002/rr.
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Forecasting Changes in Aquatic Systems and Resilience of Brook Trout
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Journal Article: Quantifying the uncertainties of hydrology response under climate change, Steinschneider et al. 2012
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Steinschneider, S., A. Polebitski, C. Brown, and B. H. Letcher. 2012. Toward a statistical framework to quantify the uncertainties of hydrologic response under climate change. Water Resources Research 48:W11525.
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Forecasting Changes in Aquatic Systems and Resilience of Brook Trout
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Journal Article: Sampling strategies for estimating brook trout effective population size, Whiteley et al. 2012
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Whiteley, A. R., J. A. Coombs, M. Hudy, Z. Robinson, K. H. Nislow, and B. H. Letcher. 2012. Sampling strategies for estimating brook trout effective population size. Conservation Genetics.
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Forecasting Changes in Aquatic Systems and Resilience of Brook Trout
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Journal Article: Spatial variability in survival of adult brook trout within two intensively surveyed headwater stream networks
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Article
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Forecasting Changes in Aquatic Systems and Resilience of Brook Trout