Effects of Sampling Sufficiency and Model Selection on Predicting the Occurrence of Stream Fish Species at Large Spatial Extents

Effects of Sampling Sufficiency and Model Selection on Predicting the Occurrence of Stream Fish Species at Large Spatial Extents

Knowledge of species occurrence is a prerequisite for efficient and effective conservation and management. Unfortunately, knowledge of species occurrence is usually insufficient, so models that use environmental predictors and species occurrence records are used to predict species occurrence. Predic...

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Bibliographic Details
Main Author: Krueger, Kirk L.
Other Authors: Fisheries and Wildlife Sciences
Format: Others
Published: Virginia Tech 2014
Subjects:
spatial extent
classification tree
artificial neural network
predicting occurrence
multiple logistic regression
stream fish
resolution
sampling sufficiency
Online Access:http://hdl.handle.net/10919/26214
http://scholar.lib.vt.edu/theses/available/etd-02152009-053554/

Internet

http://hdl.handle.net/10919/26214
http://scholar.lib.vt.edu/theses/available/etd-02152009-053554/

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