Data from: Predator activity and scent cues influence white-tailed deer behavior in a multi-predator landscape
Data files
Sep 12, 2025 version files 23.05 MB
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CMP.data.sequences.csv
1.08 MB
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cmp.station.details.csv
1.10 KB
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Cody.data.images.csv
21.32 MB
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Cody.data.sequences.post.csv
487.80 KB
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Cody.station.details.csv
1.09 KB
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README.md
12.10 KB
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WTD_predator_cues.rmd
149.68 KB
Abstract
When navigating landscapes, prey make decisions that balance their need to acquire high-quality resources with the risk of predation. When risk is heterogenous across the landscape, prey can alter their habitat use to avoid high-risk patches, or they can employ behavioral modifications, such as shifting their temporal activity, that allow them to continue to use high-risk patches while offsetting risk. Our objective was to discern how white-tailed deer in a predator-rich environment (the Greater Yellowstone Ecosystem [GYE]) and an environment containing only mesopredators (Ohio, USA) respond to predator urine cues and predator activity. We used camera traps to quantify the spatiotemporal activity of deer before, during, and after applying predator-scent cues (control/water, wolf urine, mountain lion urine, and coyote urine). In the GYE, deer decreased diurnal activity in response to all predator-scent cues, and increased nocturnal activity in response to wolf, mountain lion, and control scents. Deer also spatially avoided the physical presence of grizzly bears and temporally aligned their activity patterns with bears as bear detections increased over time. In Ohio, deer did not alter their spatial or temporal activity in response to predator-scent cues, and we found that deer activity was positively associated with coyote activity, thereby suggesting that deer may be naïve to the predator-scent cues in this region. Our study shows that scent cues alone do not alter the spatial activity of deer, but in regions where deer are not naïve to the risk of predation, they may exhibit changes in their temporal activity.
Description of the data and file structure
We used camera traps to measure how white-tailed deer (Odocoileus virginianus) in Wyoming, USA, and Ohio, USA, altered their spatial and temporal activity in response to predator-scent cues (urine) and predator activity on the landscape. Camera traps enabled us to quantify deer spatial activity as detection rates at a given location, and time strips associated with each detection allowed us to quantify deer temporal activity. In both Wyoming and Ohio, we deployed 20 camera traps during 3 phases that lasted approximately 30 days each: pre-urine phase, urine phase, and post-urine phase. During the urine phase, cameras were treated with either water (a control), coyote (Canis latrans) urine, wolf (Canis lupus) urine, or mountain lion (Puma concolor) urine. We used negative binomial regressions to determine how deer detection rates varied in response to scent treatment types and predator detection rates, and we used kernel density estimation to compare temporal activity curves of deer between urine treatment types and phases.
Files and variables
File: Cody.data.images.csv
Description: Camera data from Wyoming during the pre-treatment and treatment phases of data collection, identified by each individual image.
Variables
- project_id: Unique identifier assigned to the project by Wildlife Insights software used to tag all images.
- deploment_id: Unique identifier containing the sampling period (Pre-treatment or treatment) an image is from, and the identity of the camera trap that captured the image.
- image_id: Unique identifier assigned to each image by Wildlife Insights software.
- filename: Name of original image file captured by each camera trap.
- location: Location of file uploaded to wildlife insights. Because this information is tied to a specific user account, it is not applicable to for use beyond that specified account. All values are therefore "NA".
- is_blank: Binary statement of whether an image is blank (1) or not blank (0).
- identified_by: Information on the individual who entered data from each image.
- wi_taxon_id: Unique identifier assigned to a species by Wildlife Insights.
- class: The taxonomic class classification of the animal in the specified image.
- order: The taxonomic order classification of the animal in the specified image.
- family: The taxonomic family classification of the animal in the specified image.
- genus: The taxonomic genus classification of the animal in the specified image.
- species: The taxonomic species classification of the animal in the specified image.
- common_name: The common name in English of the animal in the specified image.
- uncertainty: Definition on whether or not there is uncertainty regarding the identity of the animal in the specified image.
- timestamp: Date and time which the specified image was captured (mm/dd/yyyy hh:mm:ss).
- number_of_objects: Number of animals that are of the specified species, age, and sex within an image.
- age: Age (adult, juvenile, unknown) of specified animal(s) within specified image.
- sex: Sex (male, female, unknown) of specified animal(s) within specified image.
- individual_id: Identification of whether or not images are part of the same sequence. Sequences consisted of all images that were captured within 60 s of the most recent image and were filtered for using Wildlife Insights. Sequences were separated by deployment_id.
- behavior: Column generated by Wildlife Insights that could be used to identify specific animal behaviors. Left blank for our study.
- highlighted: Column generated by Wildlife Insights that could be used to identify if an image is highlighted for further review. All levels are false.
- markings: Column generated by Wildlife Insights that could be used to identify specific animal markings. Left blank for our study.
- cv_confidence: Column generated by Wildlife Insights that could be used to label confidence in species identification. Left blank for our study.
- license: Licensing type for the data stored by Wildlife Insights.
File: Cody.data.sequences.post.csv
Description: Camera data from Wyoming during the post-treatment phase of data collection, identified as sequences in which all images were captured within 60 s of the most recent image.
Variables
- project_id: Unique identifier assigned to the project by Wildlife Insights software used to tag all images.
- deploment_id: Unique identifier containing the project names and the identity of the camera trap that captured the image.
- sequence_id: Unique identifier assigned to each sequence of images by Wildlife Insights software.
- is_blank: Binary statement of whether an image is blank (1) or not blank (0)
- identified_by: Information on the individual who entered data from each image.
- wi_taxon_id: Unique identifier assigned to a species by Wildlife Insights.
- class: The taxonomic class classification of the animal in the specified image.
- order: The taxonomic order classification of the animal in the specified image.
- family: The taxonomic family classification of the animal in the specified image.
- genus: The taxonomic genus classification of the animal in the specified image.
- species: The taxonomic species classification of the animal in the specified image.
- common_name: The common name in English of the animal in the specified image.
- uncertainty: Definition on whether or not there is uncertainty regarding the identity of the animal in the specified image.
- start_time: Time and date at which image sequence starts (mm/dd/yyyy hh:mm:ss).
- end_time: Time and date at which image sequence ends (mm/dd/yyyy hh:mm:ss).
- group_size: Number of animals that are of the specified species, age, and sex within a sequence.
- age: Age (adult, juvenile, unknown) of specified animal(s) within specified image.
- sex: Sex (male, female, unknown) of specified animal(s) within specified image.
- animal_recognizable: Column generated by Wildlife Insights that could be used to identify if specific animals were recognized. Left blank for our study.
- individual_id: Column generated by Wildlife Insights that could be used to identify specific animals by ID number. Left blank for our study.
- individual_animal_notes: Column generated by Wildlife Insights that could be used to record notes for specific animals. Left blank for our study.
- behavior: Column generated by Wildlife Insights that could be used to identify specific animal behaviors. Left blank for our study.
- highlighted: Column generated by Wildlife Insights that could be used to identify if an image is highlighted for further review. All levels are false.
- markings: Column generated by Wildlife Insights that could be used to identify specific animal markings. Left blank for our study.
- cv_confidence: Column generated by Wildlife Insights that could be used to label confidence in species identification. Left blank for our study.
- license: Licensing type for the data stored by Wildlife Insights.
File: CMP.data.sequences.csv
Description: Camera data from Ohio during all phases of data collection, identified as sequences in which all images were captured within 60 s of the most recent image.
Variables
- project_id: Unique identifier assigned to the project by Wildlife Insights software used to tag all images.
- deploment_id: Unique identifier containing the sampling period (pre-treatment, treatment, post-treatment) and the identity of the camera trap that captured the image.
- sequence_id: Unique identifier assigned to each sequence of images by Wildlife Insights software.
- is_blank: Binary statement of whether an image is blank (1) or not blank (0)
- identified_by: Information on the individual who entered data from each image.
- wi_taxon_id: Unique identifier assigned to a species by Wildlife Insights.
- class: The taxonomic class classification of the animal in the specified image.
- order: The taxonomic order classification of the animal in the specified image.
- family: The taxonomic family classification of the animal in the specified image.
- genus: The taxonomic genus classification of the animal in the specified image.
- species: The taxonomic species classification of the animal in the specified image.
- common_name: The common name in English of the animal in the specified image.
- uncertainty: Definition on whether or not there is uncertainty regarding the identity of the animal in the specified image.
- start_time: Time and date at which image sequence starts (mm/dd/yyyy hh:mm:ss).
- end_time: Time and date at which image sequence ends (mm/dd/yyyy hh:mm:ss).
- group_size: Number of animals that are of the specified species, age, and sex within a sequence.
- age: Age (adult, juvenile, unknown) of specified animal(s) within specified image.
- sex: Sex (male, female, unknown) of specified animal(s) within specified image.
- animal_recognizable: Column generated by Wildlife Insights that could be used to identify if specific animals were recognized. Left blank for our study.
- individual_id: Column generated by Wildlife Insights that could be used to identify specific animals by ID number. Left blank for our study.
- individual_animal_notes: Column generated by Wildlife Insights that could be used to record notes for specific animals. Left blank for our study.
- behavior: Column generated by Wildlife Insights that could be used to identify specific animal behaviors. Left blank for our study.
- highlighted: Column generated by Wildlife Insights that could be used to identify if an image is highlighted for further review. All levels are false.
- markings: Column generated by Wildlife Insights that could be used to identify specific animal markings. Left blank for our study.
- cv_confidence: Column generated by Wildlife Insights that could be used to label confidence in species identification. Left blank for our study.
- license: Licensing type for the data stored by Wildlife Insights.
File: Cody.station.details.csv
Description: Data providing details about each camera station in Wyoming.
Variables
- Station: Camera trap identifier.
- Site: Location where camera trap was deployed. All levels are P.Creek (GYE site).
- pre.days.active: Number of days that the camera trap was active during pre-treatment phase.
- treatment.days.active: Number of days that the camera trap was active during treatment phase.
- post.days.active: Number of days that the camera trap was active during post-treatment phase.
- treatment: Type of scent treatment applied at the camera station during the treatment phase (water, coyote urine, wolf urine, mountain lion urine).
- lat: GPS latitude in WGS84 projection.
- lon: GPS longitude in WGS84 projection.
File: cmp.station.details.csv
Description: Data providing details about each camera station in Ohio.
Variables
- Station: Camera trap identifier.
- Site: Location where camera trap was deployed. Levels are: Bedford, Brecksville, Hinckley, and Litchfield
- pre.days.active: Number of days that the camera trap was active during pre-treatment phase.
- treatment.days.active: Number of days that the camera trap was active during treatment phase.
- post.days.active: Number of days that the camera trap was active during post-treatment phase.
- treatment: Type of scent treatment applied at the camera station during the treatment phase (water, coyote urine, wolf urine, mountain lion urine).
- lat: GPS latitude in WGS84 projection.
- lon: GPS longitude in WGS84 projection.
File: WTD_predator_cues.rmd
Description: R code used to perform all data cleaning and statistical analyses.
Authors & Contact
- Authors: Matthew A. Wuensch, Tony W. Mong, Brandon M. Scurlock, Nathan W. Byer, Jonathon D. Cepek, David Ward.
- For questions, contact: Matthew A. Wuensch[matthew.a.wuensch@gmail.com] or [mwuensch@kent.edu]
