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Abstract (from Ecological Society of America): Population dynamics are often correlated in space and time due to correlations in environmental drivers as well as synchrony induced by individual dispersal. Many statistical analyses of populations ignore potential autocorrelations and assume that survey methods (distance and time between samples) eliminate these correlations, allowing samples to be treated independently. If these assumptions are incorrect, results and therefore inference may be biased and uncertainty underestimated. We developed a novel statistical method to account for spatiotemporal correlations within dendritic stream networks, while accounting for imperfect detection in the surveys. Through simulations,...
Categories: Publication;
Types: Citation;
Tags: Northeast CASC,
Rivers, Streams and Lakes,
Water, Coasts and Ice
Climate change poses a variety of threats to biodiversity. Most efforts to assess the likely impacts of climate change on biodiversity try to rank species based on their vulnerability under changed environmental conditions. These efforts have often not considered the ability of organisms to adapt to the changing environment. Adding adaptability to models of population persistence should improve accuracy of forecasts. We approach this issue 1) by developing new models of Brook Trout response to changing stream temperatures and flows and 2) by developing a genetic tool for Brook Trout that will allow researchers to understand evolutionary adaption in the wild. Our modelling efforts showed that Brook Trout grow fastest...
Categories: Publication;
Types: Citation;
Tags: Northeast CASC,
Rivers, Streams and Lakes,
Water, Coasts and Ice
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