Data from: Territory surveillance and prey management: wolves keep track of space and time
Identifying behavioral mechanisms that underlie observed movement patterns is difficult when animals employ sophisticated cognitive-based strategies. Such strategies may arise when timing of return visits is important, for instance to allow for resource renewal or territorial patrolling. We fitted s...
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fttriple:oai:gotriple.eu:50|dedup_wf_001::5371421a7c97144350f594351320cd9b 2023-05-15T15:50:06+02:00 Data from: Territory surveillance and prey management: wolves keep track of space and time Schlägel, Ulrike E. Merrill, Evelyn H. Lewis, Mark A. 2018-05-30 https://doi.org/10.5061/dryad.2j125 undefined unknown Dryad https://dx.doi.org/10.5061/dryad.2j125 http://dx.doi.org/10.5061/dryad.2j125 lic_creative-commons 10.5061/dryad.2j125 oai:easy.dans.knaw.nl:easy-dataset:97619 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:97619 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 re3data_____::r3d100000044 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c predator-prey animal movement GPS Territoriality Canis lupus Alberta Canada Life sciences medicine and health care geo envir Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2018 fttriple https://doi.org/10.5061/dryad.2j125 2023-01-22T16:53:26Z Identifying behavioral mechanisms that underlie observed movement patterns is difficult when animals employ sophisticated cognitive-based strategies. Such strategies may arise when timing of return visits is important, for instance to allow for resource renewal or territorial patrolling. We fitted spatially explicit random-walk models to GPS movement data of six wolves (Canis lupus; Linnaeus, 1758) from Alberta, Canada to investigate the importance of the following: (1) territorial surveillance likely related to renewal of scent marks along territorial edges, to reduce intraspecific risk among packs, and (2) delay in return to recently hunted areas, which may be related to anti-predator responses of prey under varying prey densities. The movement models incorporated the spatiotemporal variable “time since last visit,” which acts as a wolf's memory index of its travel history and is integrated into the movement decision along with its position in relation to territory boundaries and information on local prey densities. We used a model selection framework to test hypotheses about the combined importance of these variables in wolf movement strategies. Time-dependent movement for territory surveillance was supported by all wolf movement tracks. Wolves generally avoided territory edges, but this avoidance was reduced as time since last visit increased. Time-dependent prey management was weak except in one wolf. This wolf selected locations with longer time since last visit and lower prey density, which led to a longer delay in revisiting high prey density sites. Our study shows that we can use spatially explicit random walks to identify behavioral strategies that merge environmental information and explicit spatiotemporal information on past movements (i.e., “when” and “where”) to make movement decisions. The approach allows us to better understand cognition-based movement in relation to dynamic environments and resources. Wolf location dataGPS location data for the 6 wolves analysed in the paper. First column ... Dataset Canis lupus Unknown Canada |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
unknown |
topic |
predator-prey animal movement GPS Territoriality Canis lupus Alberta Canada Life sciences medicine and health care geo envir |
spellingShingle |
predator-prey animal movement GPS Territoriality Canis lupus Alberta Canada Life sciences medicine and health care geo envir Schlägel, Ulrike E. Merrill, Evelyn H. Lewis, Mark A. Data from: Territory surveillance and prey management: wolves keep track of space and time |
topic_facet |
predator-prey animal movement GPS Territoriality Canis lupus Alberta Canada Life sciences medicine and health care geo envir |
description |
Identifying behavioral mechanisms that underlie observed movement patterns is difficult when animals employ sophisticated cognitive-based strategies. Such strategies may arise when timing of return visits is important, for instance to allow for resource renewal or territorial patrolling. We fitted spatially explicit random-walk models to GPS movement data of six wolves (Canis lupus; Linnaeus, 1758) from Alberta, Canada to investigate the importance of the following: (1) territorial surveillance likely related to renewal of scent marks along territorial edges, to reduce intraspecific risk among packs, and (2) delay in return to recently hunted areas, which may be related to anti-predator responses of prey under varying prey densities. The movement models incorporated the spatiotemporal variable “time since last visit,” which acts as a wolf's memory index of its travel history and is integrated into the movement decision along with its position in relation to territory boundaries and information on local prey densities. We used a model selection framework to test hypotheses about the combined importance of these variables in wolf movement strategies. Time-dependent movement for territory surveillance was supported by all wolf movement tracks. Wolves generally avoided territory edges, but this avoidance was reduced as time since last visit increased. Time-dependent prey management was weak except in one wolf. This wolf selected locations with longer time since last visit and lower prey density, which led to a longer delay in revisiting high prey density sites. Our study shows that we can use spatially explicit random walks to identify behavioral strategies that merge environmental information and explicit spatiotemporal information on past movements (i.e., “when” and “where”) to make movement decisions. The approach allows us to better understand cognition-based movement in relation to dynamic environments and resources. Wolf location dataGPS location data for the 6 wolves analysed in the paper. First column ... |
format |
Dataset |
author |
Schlägel, Ulrike E. Merrill, Evelyn H. Lewis, Mark A. |
author_facet |
Schlägel, Ulrike E. Merrill, Evelyn H. Lewis, Mark A. |
author_sort |
Schlägel, Ulrike E. |
title |
Data from: Territory surveillance and prey management: wolves keep track of space and time |
title_short |
Data from: Territory surveillance and prey management: wolves keep track of space and time |
title_full |
Data from: Territory surveillance and prey management: wolves keep track of space and time |
title_fullStr |
Data from: Territory surveillance and prey management: wolves keep track of space and time |
title_full_unstemmed |
Data from: Territory surveillance and prey management: wolves keep track of space and time |
title_sort |
data from: territory surveillance and prey management: wolves keep track of space and time |
publisher |
Dryad |
publishDate |
2018 |
url |
https://doi.org/10.5061/dryad.2j125 |
geographic |
Canada |
geographic_facet |
Canada |
genre |
Canis lupus |
genre_facet |
Canis lupus |
op_source |
10.5061/dryad.2j125 oai:easy.dans.knaw.nl:easy-dataset:97619 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:97619 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 re3data_____::r3d100000044 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c |
op_relation |
https://dx.doi.org/10.5061/dryad.2j125 http://dx.doi.org/10.5061/dryad.2j125 |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.2j125 |
_version_ |
1766385088445022208 |