| Title |
Activity seascapes highlight central place foraging strategies in marine predators that never stop swimming
|
|---|---|
| Published in |
Movement Ecology, June 2018
|
| DOI | 10.1186/s40462-018-0127-3 |
| Pubmed ID | |
| Authors |
Yannis P. Papastamatiou, Yuuki Y. Watanabe, Urška Demšar, Vianey Leos-Barajas, Darcy Bradley, Roland Langrock, Kevin Weng, Christopher G. Lowe, Alan M. Friedlander, Jennifer E. Caselle |
| Abstract |
Central place foragers (CPF) rest within a central place, and theory predicts that distance of patches from this central place sets the outer limits of the foraging arena. Many marine ectothermic predators behave like CPF animals, but never stop swimming, suggesting that predators will incur 'travelling' costs while resting. Currently, it is unknown how these CPF predators behave or how modulation of behavior contributes to daily energy budgets. We combine acoustic telemetry, multi-sensor loggers, and hidden Markov models (HMMs) to generate 'activity seascapes', which combine space use with patterns of activity, for reef sharks (blacktip reef and grey reef sharks) at an unfished Pacific atoll. Sharks of both species occupied a central place during the day within deeper, cooler water where they were less active, and became more active over a larger area at night in shallower water. However, video cameras on two grey reef sharks revealed foraging attempts/success occurring throughout the day, and that multiple sharks were refuging in common areas. A simple bioenergetics model for grey reef sharks predicted that diel changes in energy expenditure are primarily driven by changes in swim speed and not body temperature. We provide a new method for simultaneously visualizing diel space use and behavior in marine predators, which does not require the simultaneous measure of both from each animal. We show that blacktip and grey reef sharks behave as CPFs, with diel changes in activity, horizontal and vertical space use. However, aspects of their foraging behavior may differ from other predictions of traditional CPF models. In particular, for species that never stop swimming, patch foraging times may be unrelated to patch travel distance. |
X Demographics
The data shown below were collected from the profiles of 79 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 17 | 22% |
| United Kingdom | 8 | 10% |
| Australia | 7 | 9% |
| France | 2 | 3% |
| New Zealand | 2 | 3% |
| Canada | 2 | 3% |
| Ireland | 2 | 3% |
| Germany | 1 | 1% |
| South Africa | 1 | 1% |
| Other | 7 | 9% |
| Unknown | 30 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 60 | 76% |
| Scientists | 17 | 22% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 123 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 29 | 24% |
| Student > Ph. D. Student | 26 | 21% |
| Researcher | 19 | 15% |
| Student > Bachelor | 11 | 9% |
| Student > Doctoral Student | 6 | 5% |
| Other | 6 | 5% |
| Unknown | 26 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 57 | 46% |
| Environmental Science | 22 | 18% |
| Earth and Planetary Sciences | 6 | 5% |
| Medicine and Dentistry | 3 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 30 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 62. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 February 2022.
All research outputs
#680,600
of 25,323,244 outputs
Outputs from Movement Ecology
#25
of 382 outputs
Outputs of similar age
#14,840
of 335,066 outputs
Outputs of similar age from Movement Ecology
#3
of 8 outputs
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