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Abstract (from http://www.tandfonline.com/doi/abs/10.1080/00028487.2012.734892#.VDw7ExYXNyg): Predicting the distribution of native stream fishes is fundamental to the management and conservation of many species. Modeling species distributions often consists of quantifying relationships between species occurrence and abundance data at known locations with environmental data at those locations. However, it is well documented that native stream fish distributions can be altered as a result of asymmetric interactions between dominant exotic and subordinate native species. For example, the naturalized exotic Brown Trout Salmo trutta has been identified as a threat to native Brook Trout Salvelinus fontinalis in the eastern...
Categories: Publication;
Types: Citation;
Tags: Co-occurence,
Fish,
Fish Distribution,
National CASC,
Rivers, Streams and Lakes, All tags...
Stream,
Water, Coasts and Ice,
Wildlife and Plants, Fewer tags
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Abstract (from http://www.sciencedirect.com/science/article/pii/S0022169414003990#): Water temperature is a fundamental property of river habitat and often a key aspect of river resource management, but measurements to characterize thermal regimes are not available for most streams and rivers. As such, we developed an artificial neural network (ANN) ensemble model to predict mean daily water temperature in 197,402 individual stream reaches during the warm season (May-October) throughout the native range of brook trout Salvelinus fontinalis in the eastern U.S. We compared four models with different groups of predictors to determine how well water temperature could be predicted by climatic, landform, and land cover...
Categories: Publication;
Types: Citation;
Tags: Ensemble,
Fish,
National CASC,
Regional prediction,
River, All tags...
Rivers, Streams and Lakes,
Stream,
Water temperature,
Water, Coasts and Ice,
Wildlife and Plants,
neural networks, Fewer tags
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