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Habitat suitability modeling from empirical data : application to mule deer in the interior of British Columbia Simons, V. Brock
Abstract
Habitat suitability modeling has both strengths and weaknesses as a land management tool. Its utility is highly dependent on the ecological interactions and spatial and temporal scales that are pertinent to land management concerns and the species of interest. To maximize the usefulness of mathematical habitat suitability models, it is important that they are constructed using all the reliable a priori information available, and selected using a method that consistently selects models of an appropriate level of complexity. Application is exemplified here to produce winter and summer habitat suitability models for mule deer (Odocoileus hemionus) in young, intensively managed lodgepole pine (Pinus contorta) stands in the interior of British Columbia. The building of all models likely to have good explanatory power was informed by a comprehensive literature review of mule deer habitat requirements. After models were built, multivariate correlations between predictor variables and the dependent variable of standardized pellet-group densities were analyzed to ensure that no strong and sensible relationships suggested by the data were left out of the model set. Akaike's Information Criterion (AIC) was used for model selection, as it is currently the best readily available model selection criterion when 'truth' is of near-infinite complexity. To improve robustness of inference and prediction error estimates, final models are produced as AIC weighted averages of the models most strongly supported by the data. Although models should ideally be validated using independent data, error was estimated here based on the same data used for model fitting.
Item Metadata
Title |
Habitat suitability modeling from empirical data : application to mule deer in the interior of British Columbia
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
2005
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Description |
Habitat suitability modeling has both strengths and weaknesses as a land management tool. Its
utility is highly dependent on the ecological interactions and spatial and temporal scales that are
pertinent to land management concerns and the species of interest. To maximize the usefulness
of mathematical habitat suitability models, it is important that they are constructed using all the
reliable a priori information available, and selected using a method that consistently selects
models of an appropriate level of complexity. Application is exemplified here to produce winter
and summer habitat suitability models for mule deer (Odocoileus hemionus) in young,
intensively managed lodgepole pine (Pinus contorta) stands in the interior of British Columbia.
The building of all models likely to have good explanatory power was informed by a
comprehensive literature review of mule deer habitat requirements. After models were built,
multivariate correlations between predictor variables and the dependent variable of standardized
pellet-group densities were analyzed to ensure that no strong and sensible relationships suggested
by the data were left out of the model set. Akaike's Information Criterion (AIC) was used for
model selection, as it is currently the best readily available model selection criterion when 'truth'
is of near-infinite complexity. To improve robustness of inference and prediction error estimates,
final models are produced as AIC weighted averages of the models most strongly supported by
the data. Although models should ideally be validated using independent data, error was
estimated here based on the same data used for model fitting.
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Genre | |
Type | |
Language |
eng
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Date Available |
2009-12-15
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Provider |
Vancouver : University of British Columbia Library
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Rights |
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
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DOI |
10.14288/1.0075008
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
2005-11
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Campus | |
Scholarly Level |
Graduate
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Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.