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Carroll SL, Schmidt GM, Waller JS, Graves TA. Evaluating density-weighted connectivity of black bears (Ursus americanus) in Glacier National Park with spatial capture-recapture models. MOVEMENT ECOLOGY 2024; 12:8. [PMID: 38263096 DOI: 10.1186/s40462-023-00445-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 12/19/2023] [Indexed: 01/25/2024]
Abstract
BACKGROUND Improved 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. METHODS We 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. RESULTS Model results indicated that landscape structure influences black bear density and space use in Glacier. The mean density estimate was 16.08 bears/100 km2 (95% CI 12.52-20.6) for females and 9.27 bears/100 km2 (95% CI 7.70-11.14) for males. Density increased with forest cover for both sexes. For male black bears, density decreased at higher grizzly bear (Ursus arctos) densities. Drainages, valley bottoms, and riparian vegetation decreased estimates of landscape resistance to movement for male and female bears. For males, forest cover also decreased estimated resistance to movement, but a transportation corridor bisecting the study area strongly increased resistance to movement presenting a barrier to connectivity. CONCLUSIONS Density-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.
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Affiliation(s)
- Sarah L Carroll
- Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, 80523, USA.
| | - Greta M Schmidt
- Department of Biology, San Diego State University, San Diego, CA, 92182, USA
| | - John S Waller
- Glacier National Park, P.O. Box 128, West Glacier, MT, 59936, USA
| | - Tabitha A Graves
- U.S. Geological Survey, Northern Rocky Mountain Science Center, PO Box 169, West Glacier, MT, 59936, USA
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Gilbert NA, McGinn KA, Nunes LA, Shipley AA, Bernath-Plaisted J, Clare JDJ, Murphy PW, Keyser SR, Thompson KL, Maresh Nelson SB, Cohen JM, Widick IV, Bartel SL, Orrock JL, Zuckerberg B. Daily activity timing in the Anthropocene. Trends Ecol Evol 2023; 38:324-336. [PMID: 36402653 DOI: 10.1016/j.tree.2022.10.008] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 10/12/2022] [Accepted: 10/27/2022] [Indexed: 11/17/2022]
Abstract
Animals are facing novel 'timescapes' in which the stimuli entraining their daily activity patterns no longer match historical conditions due to anthropogenic disturbance. However, the ecological effects (e.g., altered physiology, species interactions) of novel activity timing are virtually unknown. We reviewed 1328 studies and found relatively few focusing on anthropogenic effects on activity timing. We suggest three hypotheses to stimulate future research: (i) activity-timing mismatches determine ecological effects, (ii) duration and timing of timescape modification influence effects, and (iii) consequences of altered activity timing vary biogeographically due to broad-scale variation in factors compressing timescapes. The continued growth of sampling technologies promises to facilitate the study of the consequences of altered activity timing, with emerging applications for biodiversity conservation.
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Affiliation(s)
- Neil A Gilbert
- Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Kate A McGinn
- Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Laura A Nunes
- Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Amy A Shipley
- Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI 53706, USA; School of Natural Resources, University of Missouri, Columbia, MO 65211, USA
| | - Jacy Bernath-Plaisted
- Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - John D J Clare
- Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI 53706, USA; Museum of Vertebrate Zoology, University of California, Berkeley, CA 94720, USA
| | - Penelope W Murphy
- Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Spencer R Keyser
- Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Kimberly L Thompson
- Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI 53706, USA; German Centre for Integrative Biodiversity Research (iDiv), 04103 Halle-Jena-Leipzig, Germany
| | - Scott B Maresh Nelson
- Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Jeremy M Cohen
- Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI 53706, USA; Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06520, USA
| | - Ivy V Widick
- Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Savannah L Bartel
- Department of Integrative Biology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - John L Orrock
- Department of Integrative Biology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Benjamin Zuckerberg
- Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI 53706, USA.
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Dupont G, Linden DW, Sutherland C. Improved inferences about landscape connectivity from spatial capture-recapture by integration of a movement model. Ecology 2022; 103:e3544. [PMID: 34626121 DOI: 10.1002/ecy.3544] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 06/04/2021] [Accepted: 06/15/2021] [Indexed: 12/13/2022]
Abstract
Understanding how broad-scale patterns in animal populations emerge from individual-level processes is an enduring challenge in ecology that requires investigation at multiple scales and perspectives. Complementary to this need for diverse approaches is the recent focus on integrated modeling in statistical ecology. Population-level processes represent the core of spatial capture-recapture (SCR), with many methodological extensions that have been motivated by standing ecological theory and data-integration opportunities. The extent to which these recent advances offer inferential improvements can be limited by the data requirements for quantifying individual-level processes. This is especially true for SCR models that use non-Euclidean distance to relax the restrictive assumption that individual space use is stationary and symmetrical to make inferences about landscape connectivity. To meet the challenges of scale and data quality, we propose integrating an explicit movement model with non-Euclidean SCR for joint estimation of a shared cost parameter between individual and population processes. Here, we define a movement kernel for step selection that uses "ecological distance" instead of Euclidean distance to quantify availability for each movement step in terms of landscape cost. We compare performance of our integrated model to that of existing SCR models using realistic animal movement simulations and data collected on black bears. We demonstrate that an integrated approach offers improvements both in terms of bias and precision in estimating the shared cost parameter over models fit to spatial encounters alone. Simulations suggest these gains were only realized when step lengths were small relative to home range size, and estimates of density were insensitive to whether or not an integrated approach was used. By combining the fine spatiotemporal scale of individual movement processes with the estimation of population density in SCR, integrated approaches such as the one we develop here have the potential to unify the fields of movement, population, and landscape ecology and improve our understanding of landscape connectivity.
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Affiliation(s)
- Gates Dupont
- Department of Environmental Conservation, University of Massachusetts, 160 Holdsworth Way, Amherst, Massachusetts, 01003, USA.,Organismic and Evolutionary Biology Graduate Program, University of Massachusetts, 204C French Hall, 230 Stockbridge Road, Amherst, Massachusetts, 01003, USA
| | - Daniel W Linden
- Greater Atlantic Regional Fisheries Office, NOAA National Marine Fisheries Service, 55 Great Republic Drive, Gloucester, Massachusetts, 01930, USA
| | - Chris Sutherland
- Department of Environmental Conservation, University of Massachusetts, 160 Holdsworth Way, Amherst, Massachusetts, 01003, USA.,Centre for Research into Ecological and Environmental Modelling, University of St Andrews, Fife, KY16 9LZ, St. Andrews, United Kingdom
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Affiliation(s)
- Sarah J Converse
- U.S. Geological Survey, Washington Cooperative Fish and Wildlife Research Unit, School of Environmental and Forest Sciences & School of Aquatic and Fishery Sciences, University of Washington, Seattle, Washington, USA
| | - Brett T McClintock
- Marine Mammal Laboratory, NOAA-NMFS Alaska Fisheries Science Center, Seattle, Washington, USA
| | - Paul B Conn
- Marine Mammal Laboratory, NOAA-NMFS Alaska Fisheries Science Center, Seattle, Washington, USA
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