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Search and foraging behaviors from movement data : a comparison of methods
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dc.contributor.author | Bennison, Ashley | |
dc.contributor.author | Bearhop, Stuart | |
dc.contributor.author | Bodey, Thomas W. | |
dc.contributor.author | Votier, Stephen C. | |
dc.contributor.author | Grecian, W. James | |
dc.contributor.author | Wakefield, Ewan D. | |
dc.contributor.author | Hamer, Keith C. | |
dc.contributor.author | Jessopp, Mark | |
dc.date.accessioned | 2017-12-08T11:30:07Z | |
dc.date.available | 2017-12-08T11:30:07Z | |
dc.date.issued | 2018-01 | |
dc.identifier | 251712555 | |
dc.identifier | 616f7db4-6aae-41f1-8ccb-2848c8b37839 | |
dc.identifier | 85034808955 | |
dc.identifier | 000419483200002 | |
dc.identifier.citation | Bennison , A , Bearhop , S , Bodey , T W , Votier , S C , Grecian , W J , Wakefield , E D , Hamer , K C & Jessopp , M 2018 , ' Search and foraging behaviors from movement data : a comparison of methods ' , Ecology and Evolution , vol. 8 , no. 1 , pp. 13-24 . https://doi.org/10.1002/ece3.3593 | en |
dc.identifier.issn | 2045-7758 | |
dc.identifier.other | ORCID: /0000-0002-6428-719X/work/39487848 | |
dc.identifier.uri | https://hdl.handle.net/10023/12295 | |
dc.description | his study was funded by NERC Standard Grant NE/H007466/1. AB is funded by the Irish Research Council (Project ID: GOIPG/2016/503). MJ is funded under Marine Renewable Energy Ireland (MaREI), The SFI Centre for Marine Renewable Energy Research (12/RC/2302), and EW is funded by the NERC (IRF NE/M017990/1). | en |
dc.description.abstract | Search behavior is often used as a proxy for foraging effort within studies of animal movement, despite it being only one part of the foraging process, which also includes prey capture. While methods for validating prey capture exist, many studies rely solely on behavioral annotation of animal movement data to identify search and infer prey capture attempts. However, the degree to which search correlates with prey capture is largely untested. This study applied seven behavioral annotation methods to identify search behavior from GPS tracks of northern gannets (Morus bassanus), and compared outputs to the occurrence of dives recorded by simultaneously deployed time-depth recorders. We tested how behavioral annotation methods vary in their ability to identify search behavior leading to dive events. There was considerable variation in the number of dives occurring within search areas across methods. Hidden Markov models proved to be the most successful, with 81% of all dives occurring within areas identified as search. k-Means clustering and first passage time had the highest rates of dives occurring outside identified search behavior. First passage time and hidden Markov models had the lowest rates of false positives, identifying fewer search areas with no dives. All behavioral annotation methods had advantages and drawbacks in terms of the complexity of analysis and ability to reflect prey capture events while minimizing the number of false positives and false negatives. We used these results, with consideration of analytical difficulty, to provide advice on the most appropriate methods for use where prey capture behavior is not available. This study highlights a need to critically assess and carefully choose a behavioral annotation method suitable for the research question being addressed, or resulting species management frameworks established. | |
dc.format.extent | 12 | |
dc.format.extent | 624485 | |
dc.language.iso | eng | |
dc.relation.ispartof | Ecology and Evolution | en |
dc.subject | Behavior | en |
dc.subject | First passage time | en |
dc.subject | Hidden Markov models | en |
dc.subject | k-means | en |
dc.subject | Kernel density | en |
dc.subject | Machine learning | en |
dc.subject | Movement | en |
dc.subject | State-space models | en |
dc.subject | Telemetry | en |
dc.subject | QH301 Biology | en |
dc.subject | Ecology, Evolution, Behavior and Systematics | en |
dc.subject | Ecology | en |
dc.subject | Nature and Landscape Conservation | en |
dc.subject | NDAS | en |
dc.subject.lcc | QH301 | en |
dc.title | Search and foraging behaviors from movement data : a comparison of methods | en |
dc.type | Journal article | en |
dc.contributor.institution | University of St Andrews. School of Biology | en |
dc.contributor.institution | University of St Andrews. Sea Mammal Research Unit | en |
dc.contributor.institution | University of St Andrews. Scottish Oceans Institute | en |
dc.identifier.doi | https://doi.org/10.1002/ece3.3593 | |
dc.description.status | Peer reviewed | en |
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