Abstract

Remote tracking of migratory species and statistical modeling of behaviors have enabled identification of areas that are of high ecological value to these widely distributed taxa. However, direct observations at fine spatio-temporal scales are often needed to correctly interpret behaviors. In this study, we combined GPS-derived locations and archival dive records (1 sec sampling rate) with animal-borne video footage from foraging leatherback turtles (Dermochelys coriacea) in Nova Scotia, Canada (Northwest Atlantic Ocean) to generate the most highly detailed description of natural leatherback behavior presented to date. Turtles traveled shorter distances at slower rates and increased diving rates in areas of high prey abundance, which resulted in higher prey capture rates. Increased foraging effort (e.g., dive rate, dive duration, prey handling time, number of bites) was not associated with increased time at the surface breathing to replenish oxygen stores. Instead, leatherbacks generally performed short, shallow dives in the photic zone to or above the thermocline, where they disproportionately captured prey at bottoms of dives and during ascents. This foraging strategy supports visual prey detection, allows leatherbacks to exploit physically structured prey at relatively shallow depths (typically <30m), and increases time turtles spend in warmer water temperatures, thus optimizing net energy acquisition. Our results demonstrate that leatherbacks appear to be continuously foraging during daylight hours while in continental shelf waters of Nova Scotia, and that leatherback foraging behavior is driven by prey availability, not by whether or not a turtle is in a resource patch characterized by a particular size or prey density. Our study demonstrates the fundamental importance of obtaining field-based, direct observations of true behaviors at fine spatial and temporal scales to enhance our efforts to both study and manage migratory species.

Highlights

  • A major challenge to understanding the ecology and population dynamics of animal species is characterizing their finescale habitat use in spatio-temporally discrete areas that provide necessary resources for vital life history functions

  • Our analyses of fine-scale behaviors derived from turtle-borne video, GPS, and dive recorder data reveal that leatherback foraging activity in temperate coastal waters of the NW Atlantic is well within the species’ physiological capabilities, and does not reflect tradeoffs between maximizing energy expenditure during prey capture and handling, and recovering or resting between more active dives

  • Leatherbacks demonstrate scale-dependent patch foraging behaviors comparable to those exhibited by diverse taxa in a variety of habitat types, with movements between patches increasing in length and speed to minimize time during which energy is not acquired, and activity within patches increasing in diving rate and duration to maximize energy acquisition (e.g., Fauchald, 1999; Thompson and Fedak, 2001; Weimerskirch, 2007; Sims et al, 2008)

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Summary

Introduction

A major challenge to understanding the ecology and population dynamics of animal species is characterizing their finescale habitat use in spatio-temporally discrete areas that provide necessary resources for vital life history functions. This is true for migratory species that travel through diverse habitats and environmental conditions to exploit areas that provide predictable resources (e.g., food, mates, conditions suitable for reproduction) critical for meeting life history demands, and, by extension, supporting healthy population dynamics. Logistical challenges sometimes preclude obtaining direct observations on free-ranging animals, researchers have successfully employed various data recording instruments such as satellite transmitters, accelerometers, animal-borne video cameras, and time-depth recorders, to collect and classify field-based behavioral data for a wide variety of species including marine turtles (e.g., Reina et al, 2005; Seminoff et al, 2006), penguins (Ponganis et al, 2000), marine mammals (Williams et al, 2004), sharks (Heithaus et al, 2002), and others (see Moll et al, 2007 for review)

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