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Climate change impacts ecosystems variably in space and time. Landscape features may confer resistance against environmental stressors, whose intensity and frequency also depend on local weather patterns. Characterizing spatio-temporal variation in population responses to these stressors improves our understanding of what constitutes climate change refugia. We developed a Bayesian hierarchical framework that allowed us to differentiate population responses to seasonal weather patterns depending on their “sensitive” or “resilient” states. The framework inferred these sensitivity states based on latent trajectories delineating dynamic state probabilities. The latent trajectories are composed of linear initial conditions,...
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This data set includes paired air and water temperature data from 204 sites throughout the southern Appalachian region of the United States. Sites were located in randomly selected subwatersheds identified as capable of supporting populations of brook trout. Located at the downstream outlet of the subwatersheds, each site consisted of a logger placed underwater paired with a logger affixed to the bank or a tree. Stream and air temperatures were measured every 30 minutes using the remote logger system. Loggers were deployed from 2010 to 2015. The paired air and water temperatures were summarized into daily and weekly minimum, maximum, and mean values. Site information is included for the temperature data, including...
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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...
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Understanding patterns of species abundance is essential for planning landscape-level conservation. The complex hierarchies of dendritic ecosystems result in different levels of heterogeneity at distinct geographic scales. Species responses to dynamic environmental drivers may also vary spatially depending on their interactions with landscape features. Monitoring abundance by explicitly quantifying their spatial and temporal variation is important for strategic management. We analysed brook trout (Salvelinus fontinalis) count data collected from 173 sites in western North Carolina between 1989 and 2015. We developed a Bayesian hierarchical model that used single- and multi-pass electro-fishing data and characterized...
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Brook trout are the only native fish from the salmon family in the southeastern United States. Despite their recreational and cultural significance, human activities, such as habitat degradation and introduction of non-native species, have led to serious declines of brook trout populations in the region. Stream temperature and flow alterations from climate change are projected to impact this cold-water species even further. Recent studies show that there is much site-to-site variation in how climate affects stream temperature and flow. Therefore, vulnerability of local trout populations to climate change also varies. Understanding local variation in climate responses across the region is critical to maintaining...
Categories: Project;
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Tags: 2020,
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Rivers, Streams and Lakes,
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