Abstract

Identification of Area-restricted search (ARS) behaviour is used to better understand foraging movements and strategies of marine predators. Track-based descriptive analyses are commonly used to detect ARS behaviour, but they may be biased by factors such as foraging trip duration or non-foraging behaviours (i.e. resting on the water). Using first-passage time analysis we tested if (I) daylight resting at the sea surface positions falsely increase the detection of ARS behaviour and (II) short foraging trips are less likely to include ARS behaviour in Masked Boobies Sula dactylatra. We further analysed whether ARS behaviour may be used as a proxy to identify important feeding areas. Depth-acceleration and GPS-loggers were simultaneously deployed on chick-rearing adults to obtain (1) location data every 4 minutes and (2) detailed foraging activity such as diving rates, time spent sitting on the water surface and in flight. In 82% of 50 foraging trips, birds adopted ARS behaviour. In 19.3% of 57 detected ARS zones, birds spent more than 70% of total ARS duration resting on the water, suggesting that these ARS zones were falsely detected. Based on generalized linear mixed models, the probability of detecting false ARS zones was 80%. False ARS zones mostly occurred during short trips in close proximity to the colony, with low or no diving activity. This demonstrates the need to account for resting on the water surface positions in marine animals when determining ARS behaviour based on foraging locations. Dive rates were positively correlated with trip duration and the probability of ARS behaviour increased with increasing number of dives, suggesting that the adoption of ARS behaviour in Masked Boobies is linked to enhanced foraging activity. We conclude that ARS behaviour may be used as a proxy to identify important feeding areas in this species.

Highlights

  • Marine predators usually forage in an environment where food resources are patchily distributed in space and time [1]

  • (I) we investigated time budgets of individuals within detected Area-restricted search (ARS) zones, including diving activity and amount of time spent resting at the sea surface; (II) we determined which factors influence the detection of ARS behaviour; (III) we examined whether ARS behaviour can be used as a proxy to identify important feeding areas; (IV) and we developed a decision tree based on our findings to determine incorrectly-detected ARS zones resulting from high proportions of resting at the sea surface positions

  • Characteristics of ARS Zones First-passage time analysis of the tracks revealed the presence of ARS behaviour in 41 out of the 50 foraging trips (82%), while in the remaining nine foraging trips, no ARS behaviour was detected

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Summary

Introduction

Marine predators usually forage in an environment where food resources are patchily distributed in space and time [1]. Individuals are expected to adjust their travelling behaviour in response to prey density and maximise their prey encounters by increasing turning rates and reducing travel speeds [4] This adaptive response to prey density is generally referred to as Area-restricted search (ARS) behaviour [4]. Identifying ARS behaviour has been central to understanding how animals move through the environment in an effort to optimise their foraging success. State-spaced models are used to fit correlated random walks [18,19] to animal tracking data [11,20,21] In all these different analytical approaches, travel speeds and turning rates play a key role in detecting areas in which animals increase their search effort [22,23]

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