GPS and activity data from wild boars tracked in Southern France
Cite this dataset
Chamaillé-Jammes, Simon; Fradin, Gustave (2024). GPS and activity data from wild boars tracked in Southern France [Dataset]. Dryad. https://doi.org/10.5061/dryad.3j9kd51qj
Abstract
Many animals living in anthropized landscapes try to avoid encountering people by being active at night. By doing so, however, they risk being disturbed while at rest during the day. To mitigate this risk, diurnally resting species may be highly selective about where they rest. Here, we used GPS and activity sensors to study how wild boars (Sus scrofa) might adjust their resting site selection and revisitation patterns to the risk of disturbance by people. We evaluated the probability of daytime relocation to assess the efficacy of wild boars' resting strategy in reducing the risk of human encounter while at rest. We attempted to identify the cause of some relocations using audio recordings. Generally, we found that wild boars did not specifically avoid resting near villages or roads, i.e. where the risk of encountering people is higher, if they could find sites with suitable vegetation cover. The risk of disturbance by people was low, even near villages. Resting sites located close to villages were visited more repeatedly than those located further away, suggesting that focusing on a few familiar and quiet resting sites was a successful strategy for resting undisturbed in an anthropized landscape.
README
Hogs sleep like logs: wild boars reduce the risk of anthropic disturbance by adjusting where they rest
Gustave Fradin*
Simon Chamaill-Jammes*
* CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France
GPS and activity data from wild boars tracked in Southern France
This archive contains the GPS and activity data that was collected from the wild boars studied in the paper. An additional file provides information on the deployment of the collars on the animals.
Description of the Data and file structure
GPS_wild_boars_CEFE_CRNS.csv
This file contains the GPS position of the animals studied in the paper.
There are 7 columns:
- ID: a unique identifier of individual wild boars
- sex: male (M) or female (F). NA if unknown.
- study_area: identifier of the study site where the animal was captured and lived (Gorges du Gardon or Pic St-Loup). The study sites are described in the paper.
- acquisition_time_utc: time of the acquisition of the GPS position, in UTC. The format that was used is DD/MM/YYYY HH:MM:SS.
- lat: latitude of the GPS position (WGS84)
- long: longitude of the GPS position (WGS84)
- dop: dilution of precision. Low values indicate a good precision, while high values point out less accurate positions.
ACT_wild_boars_CEFE_CRNS.csv
This file contains the GPS position of the animals studied in the paper.
There are 5 columns:
- ID: a unique identifier of individual wild boars
- sex: male (M) or female (F). NA if unknown.
- study_area: identifier of the study site where the animal was captured and lived (Gorges du Gardon or Pic St-Loup). The study sites are described in the paper.
- acquisition_time_utc: time of the acquisition of the GPS position, in UTC. The format that was used is DD/MM/YYYY HH:MM:SS.
- ACT: activity level along the anteroposterior axis, ranging between 0 (no activity) to 255. This value is an average of 8HZ acceleration measurements made over an interval of 5 minutes.
deployment_details_wild_boars_CEFE_CRNS.csv
This file contains the GPS position of the animals studied in the paper.
There are 8 columns:
- ID: a unique identifier of individual wild boars
- sex: male (M), female (F), or unknown (NA).
- study_area: identifier of the study site where the animal was captured and lived (Gorges du Gardon or Pic St-Loup). The study sites are described in the paper.
- deployment_time_utc: time of the release of the animal, after the capture, in UTC. The format that was used is DD/MM/YYYY HH:MM:SS.
- tracking_end_time_utc: time of the end of the survey, in UTC. This time was set shortly before the animal was dead or the collar was fallen. The format that was used is DD/MM/YYYY HH:MM:SS.
- reason_end: cause of the en of the survey; death of the animal (Mortality), or fall of the collar (Fallen).
- detailed_reason_end:more detailed cause of the end of the survey. A collar may have fallen on its own (Loose_collar), or through the activation of the drop-off system (Drop-off). The individual might have been killed by a vehicle (Collision_with_vehicle), or by hunters (Hunting).
- audio_data: Was audio data collected from this animal (using an audiologger; see description in the paper).
Sharing/access Information
GPS and activity data was not derived from another source.
Funding
I-site Montpellier Université d’Excellence, Award: ANR-16-IDEX-0006
François Sommer foundation