Grizzly bear habitat selection across the Northern Continental Divide Ecosystem. (December 2022)
- Record Type:
- Journal Article
- Title:
- Grizzly bear habitat selection across the Northern Continental Divide Ecosystem. (December 2022)
- Main Title:
- Grizzly bear habitat selection across the Northern Continental Divide Ecosystem
- Authors:
- Sells, Sarah N.
Costello, Cecily M.
Lukacs, Paul M.
Roberts, Lori L.
Vinks, Milan A. - Abstract:
- Abstract: Understanding habitat selection is challenging but key for species of conservation concern, including grizzly bears ( Ursus arctos ). Here we demonstrate an approach for understanding and predicting habitat use over multiple stages that test hypotheses of animal behavior, use newly gained knowledge to mechanistically simulate individual movements, translate results to predictive habitat maps, and test their predictive power across a large spatiotemporal scale. Grizzly bears in the Northern Continental Divide Ecosystem of northwest Montana served as our study system. Mechanistically modeling grizzly bear movements demonstrated that grizzly bears have highly individualistic spatial behaviors. Some individuals avoided whereas others preferred areas of vegetation green-up, terrain ruggedness, forest edge, riparian areas, building densities, and secure habitat. Such individualism supported the need for an individual-based modeling approach to understand and predict grizzly bear behavior. External validation using >375, 000 GPS locations for 261 individuals over nearly 2 decades demonstrated mean Spearman rank scores of >0.90 across seasons and years, and overall scores of 1.0. The top 5 classes of our predictive habitat maps contained 73.5 % of female fixes and 83.6 % of male fixes, and the top class (comprising 10 % of mapped area) contained 25.6 % and 41.7 % of female and male fixes, respectively. Results of this research provide tools for conservation planning andAbstract: Understanding habitat selection is challenging but key for species of conservation concern, including grizzly bears ( Ursus arctos ). Here we demonstrate an approach for understanding and predicting habitat use over multiple stages that test hypotheses of animal behavior, use newly gained knowledge to mechanistically simulate individual movements, translate results to predictive habitat maps, and test their predictive power across a large spatiotemporal scale. Grizzly bears in the Northern Continental Divide Ecosystem of northwest Montana served as our study system. Mechanistically modeling grizzly bear movements demonstrated that grizzly bears have highly individualistic spatial behaviors. Some individuals avoided whereas others preferred areas of vegetation green-up, terrain ruggedness, forest edge, riparian areas, building densities, and secure habitat. Such individualism supported the need for an individual-based modeling approach to understand and predict grizzly bear behavior. External validation using >375, 000 GPS locations for 261 individuals over nearly 2 decades demonstrated mean Spearman rank scores of >0.90 across seasons and years, and overall scores of 1.0. The top 5 classes of our predictive habitat maps contained 73.5 % of female fixes and 83.6 % of male fixes, and the top class (comprising 10 % of mapped area) contained 25.6 % and 41.7 % of female and male fixes, respectively. Results of this research provide tools for conservation planning and serve as the basis for future grizzly bear research within our study system and beyond. Our multi-stage approach for understanding and predicting habitat use has high utility for conservation of myriad threatened species around the globe. Highlights: Understanding habitat selection is challenging but key for species of conservation concern. We demonstrate a multi-stage approach for understanding and predicting habitat use. Using our approach to model movements of grizzly bears demonstrated highly individualistic spatial behaviors. External validation of model predictions demonstrated high predictive accuracy across a large spatiotemporal scale. Our approach for understanding and predicting habitat use has high utility for conservation of myriad threatened species. … (more)
- Is Part Of:
- Biological conservation. Volume 276(2022)
- Journal:
- Biological conservation
- Issue:
- Volume 276(2022)
- Issue Display:
- Volume 276, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 276
- Issue:
- 2022
- Issue Sort Value:
- 2022-0276-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-12
- Subjects:
- Brown bears -- Grizzly bears -- Behavior -- Movements -- Habitat selection -- Integrated step selection function -- Predictive habitat map
Conservation of natural resources -- Periodicals
Nature conservation -- Periodicals
Ecology -- Periodicals
Environment -- Periodicals
Environmental Pollution -- Periodicals
Electronic journals
333.9516 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00063207 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.biocon.2022.109813 ↗
- Languages:
- English
- ISSNs:
- 0006-3207
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2075.100000
British Library DSC - BLDSS-3PM
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- 24449.xml