Literature DB >> 17249234

Linking movement, diving, and habitat to foraging success in a large marine predator.

Deborah Austin1, W Don Bowen, Jim I McMillan, Sara J Iverson.   

Abstract

Establishing where and when predators forage is essential to understanding trophic interactions, yet foraging behavior remains poorly understood in large marine carnivores. We investigated the factors leading to foraging success in gray seals (Halichoerus grypus) in the Northwest Atlantic in the first study to use simultaneous deployments of satellite transmitters, time depth recorders, and stomach-temperature loggers on a free-ranging marine mammal. Thirty-two seals were each fitted with the three types of instrumentation; however, complete records from all three instruments were obtained from only 13 individuals, underscoring the difficulty of such a multi-instrument approach. Our goal was to determine the characteristics of diving, habitat, and movement that predict feeding. We linked diving behavior to foraging success at two temporal scales: trips (days) and bouts (hours) to test models of optimal diving, which indicate that feeding can be predicted by time spent at the bottom of a dive. Using an information-theoretic approach, a Generalized Linear Mixed Model with trip duration and accumulated bottom time per day best explained the number of feeding events per trip, whereas the best predictor of the number of feeding events per bout was accumulated bottom time. We then tested whether characteristics of movement were predictive of feeding. Significant predictors of the number of feeding events per trip were angular variance (i.e., path tortuosity) and distance traveled per day. Finally, we integrated measures of diving, movement, and habitat at four temporal scales to determine overall predictors of feeding. At the 3-h scale, mean bottom time and distance traveled were the most important predictors of feeding frequency, whereas at the 6-h and 24-h time scales, distance traveled alone was most important. Bathymetry was the most significant predictor of feeding at the 12-h interval, with feeding more likely to occur at deeper depths. Our findings indicate that several factors predict feeding in gray seals, but predictor variables differ across temporal scales such that environmental variation becomes important at some scales and not others. Overall, our results illustrate the value of simultaneously recording and integrating multiple types of information to better understand the circumstances leading to foraging success.

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Year:  2006        PMID: 17249234     DOI: 10.1890/0012-9658(2006)87[3095:lmdaht]2.0.co;2

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  28 in total

1.  Movements of foraging king penguins through marine mesoscale eddies.

Authors:  Cédric Cotté; Young-Hyang Park; Christophe Guinet; Charles-André Bost
Journal:  Proc Biol Sci       Date:  2007-10-07       Impact factor: 5.349

2.  Integrative modelling of animal movement: incorporating in situ habitat and behavioural information for a migratory marine predator.

Authors:  Sophie Bestley; Ian D Jonsen; Mark A Hindell; Christophe Guinet; Jean-Benoît Charrassin
Journal:  Proc Biol Sci       Date:  2012-11-07       Impact factor: 5.349

3.  The intensity of horizontal and vertical search in a diving forager: the harbour seal.

Authors:  Virginie Ramasco; Frédéric Barraquand; Martin Biuw; Bernie McConnell; Kjell T Nilssen
Journal:  Mov Ecol       Date:  2015-05-27       Impact factor: 3.600

4.  Identification of Prey Captures in Australian Fur Seals (Arctocephalus pusillus doriferus) Using Head-Mounted Accelerometers: Field Validation with Animal-Borne Video Cameras.

Authors:  Beth L Volpov; Andrew J Hoskins; Brian C Battaile; Morgane Viviant; Kathryn E Wheatley; Greg Marshall; Kyler Abernathy; John P Y Arnould
Journal:  PLoS One       Date:  2015-06-24       Impact factor: 3.240

5.  Fine-scale variability in harbor seal foraging behavior.

Authors:  Kenady Wilson; Monique Lance; Steven Jeffries; Alejandro Acevedo-Gutiérrez
Journal:  PLoS One       Date:  2014-04-09       Impact factor: 3.240

6.  Can we predict foraging success in a marine predator from dive patterns only? Validation with prey capture attempt data.

Authors:  Morgane Viviant; Pascal Monestiez; Christophe Guinet
Journal:  PLoS One       Date:  2014-03-06       Impact factor: 3.240

7.  Towards a better characterisation of deep-diving whales' distributions by using prey distribution model outputs?

Authors:  Auriane Virgili; Laura Hedon; Matthieu Authier; Beatriz Calmettes; Diane Claridge; Tim Cole; Peter Corkeron; Ghislain Dorémus; Charlotte Dunn; Tim E Dunn; Sophie Laran; Patrick Lehodey; Mark Lewis; Maite Louzao; Laura Mannocci; José Martínez-Cedeira; Pascal Monestiez; Debra Palka; Emeline Pettex; Jason J Roberts; Leire Ruiz; Camilo Saavedra; M Begoña Santos; Olivier Van Canneyt; José Antonio Vázquez Bonales; Vincent Ridoux
Journal:  PLoS One       Date:  2021-08-04       Impact factor: 3.240

8.  Foraging parameters influencing the detection and interpretation of area-restricted search behaviour in marine predators: a case study with the masked booby.

Authors:  Julia Sommerfeld; Akiko Kato; Yan Ropert-Coudert; Stefan Garthe; Mark A Hindell
Journal:  PLoS One       Date:  2013-05-22       Impact factor: 3.240

9.  How many seals were there? The global shelf loss during the last glacial maximum and its effect on the size and distribution of grey seal populations.

Authors:  Lars Boehme; Dave Thompson; Mike Fedak; Don Bowen; Mike O Hammill; Garry B Stenson
Journal:  PLoS One       Date:  2012-12-26       Impact factor: 3.240

10.  A novel approach to quantifying the spatiotemporal behavior of instrumented grey seals used to sample the environment.

Authors:  Laurie L Baker; Joanna E Mills Flemming; Ian D Jonsen; Damian C Lidgard; Sara J Iverson; W Don Bowen
Journal:  Mov Ecol       Date:  2015-07-08       Impact factor: 3.600

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