Modeling spatiotemporal abundance and movement dynamics using an integrated spatial capture–recapture movement model Article Swipe
Nathan J. Hostetter
,
Eric V. Regehr
,
Ryan R. Wilson
,
J. Andrew Royle
,
Sarah J. Converse
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1002/ecy.3772
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1002/ecy.3772
Animal movement is a fundamental ecological process affecting the survival and reproduction of individuals, the structure of populations, and the dynamics of communities. Methods to quantify animal movement and spatiotemporal abundances, however, are generally separate and therefore omit linkages between individual‐level and population‐level processes. We describe an integrated spatial capture–recapture (SCR) movement model to jointly estimate (1) the number and distribution of individuals in a defined spatial region and (2) movement of those individuals through time. We applied our model to a study of polar bears ( Ursus maritimus ) in a 28,125 km 2 survey area of the eastern Chukchi Sea, USA in 2015 that incorporated capture–recapture and telemetry data. In simulation studies, the model provided unbiased estimates of movement, abundance, and detection parameters using a bivariate normal random walk and correlated random walk movement process. Our case study provided detailed evidence of directional movement persistence for both male and female bears, where individuals regularly traversed areas larger than the survey area during the 36‐day study period. Scaling from individual‐ to population‐level inferences, we found that densities varied from <0.75 bears/625 km 2 grid cell/day in nearshore cells to 1.6–2.5 bears/grid cell/day for cells surrounded by sea ice. Daily abundance estimates ranged from 53 to 69 bears, with no trend across days. The cumulative number of unique bears that used the survey area increased through time due to movements into and out of the area, resulting in an estimated 171 individuals using the survey area during the study (95% credible interval 124–250). Abundance estimates were similar to a previous multiyear integrated population model using capture–recapture and telemetry data (2008–2016; Regehr et al., Scientific Reports 8:16780, 2018). Overall, the SCR–movement model successfully quantified both individual‐ and population‐level space use, including the effects of landscape characteristics on movement, abundance, and detection, while linking the movement and abundance processes to directly estimate density within a prescribed spatial region and temporal period. Integrated SCR–movement models provide a generalizable approach to incorporate greater movement realism into population dynamics and link movement to emergent properties including spatiotemporal densities and abundances.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/ecy.3772
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ecy.3772
- OA Status
- hybrid
- Cited By
- 7
- References
- 49
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4281776284
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4281776284Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/ecy.3772Digital Object Identifier
- Title
-
Modeling spatiotemporal abundance and movement dynamics using an integrated spatial capture–recapture movement modelWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-05-28Full publication date if available
- Authors
-
Nathan J. Hostetter, Eric V. Regehr, Ryan R. Wilson, J. Andrew Royle, Sarah J. ConverseList of authors in order
- Landing page
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https://doi.org/10.1002/ecy.3772Publisher landing page
- PDF URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ecy.3772Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ecy.3772Direct OA link when available
- Concepts
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Movement (music), Mark and recapture, Abundance (ecology), Ecology, Dynamics (music), Environmental science, Biology, Physics, Population, Acoustics, Sociology, DemographyTop concepts (fields/topics) attached by OpenAlex
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7Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 2, 2023: 1, 2022: 3Per-year citation counts (last 5 years)
- References (count)
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49Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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