Comparing the predictive capability of forest songbird habitat models based on remotely sensed versu...
Comparing the predictive capability of forest songbird habitat models based on remotely sensed versus ground-based vegetation information
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Publisher
Ottawa, ON: National Research Council of Canada
Journal title
Language
English
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Publisher
Ottawa, ON: National Research Council of Canada
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Scope and Contents
Contents
Habitat suitability models allow for predictive modeling of the supply of wildlife habitat through time under various forest harvesting scenarios. These models often rely on remotely sensed data in a forest resource inventory (FRI). However, the level of detail and (or) the accuracy of a FRI may be insufficient to accurately predict habitat suitabi...
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Full title
Comparing the predictive capability of forest songbird habitat models based on remotely sensed versus ground-based vegetation information
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TN_cdi_gale_infotracgeneralonefile_A219039010
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_infotracgeneralonefile_A219039010
Other Identifiers
ISSN
0045-5067
E-ISSN
1208-6037
DOI
10.1139/X09-170
