Abstract

BackgroundThe heterogeneous oceanographic conditions of continental shelf ecosystems result in a three-dimensionally patchy distribution of prey available to upper-trophic level predators. The association of bio-physical conditions with movement patterns of large marine predators has been demonstrated in diverse taxa. However, obtaining subsurface data that are spatio-temporally relevant to the decisions made by benthically-foraging species can be challenging.MethodsBetween 2009 and 2015, grey seals were captured on Sable Island, Nova Scotia, Canada during summer and fall and instrumented with high-resolution archival GPS tags. These tags recorded location data as well as depth (m), temperature (°C), and light level measurements during dives, until animals returned to the haulout site to breed. Hidden Markov models were used to predict apparent foraging along movement tracks for 79 individuals (59 females, 20 males) every 3 h. In situ measurements were used to estimate chlorophyll-a concentration (mg m− 3) and temperature within the upper-water column (50 m) and temperature and depth at the bottom of dives. As chlorophyll-a could only be estimated from 10:00 to 14:00 AST for dive depths ≥50 m, we formulated two generalized linear mixed-effects models to test the association of predicted grey seal behavioural states with oceanographic conditions and phytoplankton biomass: the first representing conditions of the upper-water column likely to influence primary productivity, and a second model including environmental conditions encountered by grey seals at the bottom of dives, when seals were more likely to be foraging.ResultsPredicted grey seal behavioural states were associated with fine-scale chlorophyll-a concentrations and other environmental conditions they encountered across the continental shelf. In the Water Column Model, season had no influence on the probability of observing apparent foraging, but chlorophyll-a, upper-water column temperature, and sex did, with females having a greater probability of foraging than males. In the Bottom Conditions Model, again season had no influence on the probability of apparent foraging, but females were over twice as likely as males to be foraging.ConclusionsThe results of this study highlight the value of in situ measurements of oceanographic properties that can be collected at high temporal resolution by animal-borne data loggers. These data provide insight into how inferred behavioural decisions made by large marine predators, such as the grey seal, may be influenced by fine-scale oceanographic conditions.

Highlights

  • The heterogeneous oceanographic conditions of continental shelf ecosystems result in a threedimensionally patchy distribution of prey available to upper-trophic level predators

  • These data provide insight into how inferred behavioural decisions made by large marine predators, such as the grey seal, may be influenced by finescale oceanographic conditions

  • Grey seals showed disproportionately high use of the eastern side of Middle Bank compared to the western side, whereas the whole of Canso Bank was heavily used by grey seals

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Summary

Introduction

The heterogeneous oceanographic conditions of continental shelf ecosystems result in a threedimensionally patchy distribution of prey available to upper-trophic level predators. Physical and biological oceanographic features of continental shelf ecosystems are dynamic over a range of spatio-temporal scales [1] This results in some areas having disproportionately high levels of primary productivity [2] that support assemblages of species at higher trophic levels [3]. Where prey are concentrated (i.e., within patches), foraging success should be higher as less time and energy is expended searching and the quantity of prey that can be consumed is likely to be higher [6] This patchiness can persist throughout the food web, exerting bottom-up control on local species abundances, and result in multitrophic level hotspots [5, 7]

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