Management of fish biodiversity requires the ability to understand and predict expected species distributions. Models predicting species distributions can give insight into habitat requirements and expected probabilities of encountering species in unsampled areas, and help identify unique outlier populations and potential biodiversity hot spots. Previous research has shown that large-scale geomorphic variables can be linked to fish habitat use and used as predictors of fish species occurrence. Our goal was to determine whether reliable models of species distributions could be developed for freshwater fish in British Columbia, using large-scale macrohabitat data linkable to GIS (geographic information system) map coverages. We surveyed 48 streams in a representative watershed with high species diversity (the Blackwater) and developed statistical models based on macrohabitat variables to predict the distribution of 15 fish species found within the drainage...
Porter, Marc S., Rosenfeld, Jordan; Parkinson, Eric A.. 1999. Predictive Models of Fish Species Distribution in the Blackwater Drainage, British Columbia (in Proc. Conference Biology & Management of Species and Habitats at Risk). Ministry of Environment, Lands and Parks; University College of the Cariboo. Proceedings - Conference Biology & Management
Topic: Species and Ecosystems at Risk
Keywords: Blackwater, distribution model, fish, geographic information system, logistic regression, macrohabitat, Similkameen
Other Identifier: University College of the Cariboo
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