Evidence map›Paper›PMID 38263096›Full record

ArticleMovement ecology2024

Evaluating density-weighted connectivity of black bears (Ursus americanus) in Glacier National Park with spatial capture-recapture models.

Sarah L Carroll, Greta M Schmidt, John S Waller, Tabitha A Graves

Abstract read
In one paragraph

Article in Movement ecology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sarah L CarrollGraduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, 80523, USA. slcarrol@colostate.edu.ORCID http://orcid.org/0000-0002-5391-7627
Greta M SchmidtDepartment of Biology, San Diego State University, San Diego, CA, 92182, USA.ORCID http://orcid.org/0000-0003-4702-2322
John S WallerGlacier National Park, P.O. Box 128, West Glacier, MT, 59936, USA.
Tabitha A GravesU.S. Geological Survey, Northern Rocky Mountain Science Center, PO Box 169, West Glacier, MT, 59936, USA.ORCID http://orcid.org/0000-0001-5145-2400

Funding

National Science Foundation, United States #006784-00002
6 · The paper itself

Abstract

backgroundImproved understanding of wildlife population connectivity among protected area networks can support effective planning for the persistence of wildlife populations in the face of land use and climate change. Common approaches to estimating connectivity often rely on small samples of individuals without considering the spatial structure of populations, leading to limited understanding of how individual movement links to demography and population connectivity. Recently developed spatial capture-recapture (SCR) models provide a framework to formally connect inference about individual movement, connectivity, and population density, but few studies have applied this approach to empirical data to support connectivity planning.

methodsWe used mark-recapture data collected from 924 genetic detections of 598 American black bears (Ursus americanus) in 2004 with SCR ecological distance models to simultaneously estimate density, landscape resistance to movement, and population connectivity in Glacier National Park northwest Montana, USA. We estimated density and movement parameters separately for males and females and used model estimates to calculate predicted density-weighted connectivity surfaces.

resultsModel results indicated that landscape structure influences black bear density and space use in Glacier. The mean density estimate was 16.08 bears/100 km

conclusionsDensity-weighed connectivity surfaces highlighted areas important for population connectivity that were distinct from areas with high potential connectivity. For black bears in Glacier and surrounding landscapes, consideration of both vegetation and valley topography could inform the placement of underpasses along the transportation corridor in areas characterized by both high population density and potential connectivity. Our study demonstrates that the SCR ecological distance model can provide biologically realistic, spatially explicit predictions to support movement connectivity planning across large landscapes.

Indexed as

Cost-distanceDensityGlacier National ParkHierarchical modelsMovement connectivityoSCRResistance surfaceSpatial capture–recaptureUrsus americanus

Identifiers

PMID38263096
PMCPMC11334611

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.