R code and data for "Spatial compartmentalization: a nonlethal predator mechanism to reduce parasite transmission between prey species"
2021-11-15
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2010-01-01
2019-02-28
2019-02-28
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2021-09-22
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R code and data for "Spatial compartmentalization: a nonlethal predator mechanism to reduce parasite transmission between prey species"
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2021-11-15
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Abstract
This collection of files provides data and R code supporting the publication "Spatial compartmentalization: a nonlethal predator mechanism to reduce parasite transmission between prey species" in review at Science Advances. We provide all necessary code to reproduce the analysis along with simulated movement data of white-tailed deer, moose, and wolves.
Description
See ReadMe text file for a comprehensive description of all uploaded data files.
Referenced by
Oliveira-Santos, et al. Spatial compartmentalization: a nonlethal predator mechanism to reduce parasite transmission between prey species. In revision. Science Advances.
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Minnesota Environment and Natural Resources Trust Fund, as recommended by the Legislative-Citizen Commission on Minnesota Resources
US Fish and Wildlife Services Tribal Wildlife Grant Program
U.S. Bureau of Indian Affairs
U.S. EPA Great Lakes Restoration Initiative
Minnesota Zoo Ulysses S. Seal Conservation Fund
Indianapolis Zoo Conservation Grant
Van Sloun Foundation
US Fish and Wildlife Services Tribal Wildlife Grant Program
U.S. Bureau of Indian Affairs
U.S. EPA Great Lakes Restoration Initiative
Minnesota Zoo Ulysses S. Seal Conservation Fund
Indianapolis Zoo Conservation Grant
Van Sloun Foundation
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Oliveira-Santos, L. Gustavo R.; Moore, Seth A.; Severud, William J.; Forester, James D.; Isaac, Edmund J.; Chenaux-Ibrahim, Yvette M.; Garwood, Tyler; Escobar, Luis E.; Wolf, Tiffany M.. (2021). R code and data for "Spatial compartmentalization: a nonlethal predator mechanism to reduce parasite transmission between prey species". Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/54h8-h277.
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deer_track.csv
Simulated deer location data
(1.01 MB)
moose_track.csv
Simulated moose location data
(8.79 MB)
wolf_track.csv
Simulated wolf location data
(105.88 KB)
elevation.tif
Elevation map of study area
(45.41 MB)
habitat.tif
Habitat map of study area
(4.34 MB)
wolf_pressure.tif
Wolf predation pressure map of study area
(8.93 MB)
helper_updated.R
R code containing functions to perform analyses
(53.59 KB)
wolf_pressure_map.R
Code to create map of wolf predation pressure
(4.5 KB)
sillover_routine.R.R
Code to perform all routines for trajectory handling, classify movement modes, split trajectories, perform SSF, make predictions, make spatial predictions, estimate overlap and spillover changes
(14.57 KB)
readme.txt
Description of data
(13.68 KB)
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.