Abstract

Accurate knowledge of behavior is necessary to effectively manage the effects of human activities on wildlife, including vessel-based whale-watching. Yet, the wholly aquatic nature of cetaceans makes understanding their basic behavioral ecology quite challenging. An endangered population of killer whales faces several identified threats including prey availability and disturbance from vessels and sound. We used bio-logging tags that were temporally attached to individuals of the endangered Southern Resident killer whale population to more fully understand their subsurface behavior and to investigate vessel effects on behavior, including foraging behavior involving prey capture. We collected tag data over three field seasons in the waters surrounding the San Juan Islands, WA, United States, corresponding to the core summer area of the critical habitat of the population. Here, we used hidden Markov models to identify latent behavioral states that include characterization of different foraging states from sound and movement variables recorded by the multi-sensor tags. We tested a number of vessel variables (e.g., vessel counts, distance, and speed) on state transition probabilities, state occurrence and time spent within each behavioral state. Whales made fewer dives involving prey capture and spent less time in these dives when vessels had an average distance less than 400 yd (366 m). Additionally, we found both a sex and vessel distance effect on the state transition probabilities, suggesting that females and males respond differently to nearby vessels. Specifically, females were more likely to transition to a non-foraging state when vessels had an average distance less than 400 yd (366 m). A female’s decision to forego foraging states due to the close proximity of vessels could have cascading effects on the ability to meet energetic requirements to support reproductive efforts. This is particularly concerning in an endangered population that is in decline. Our findings, suggesting that female killer whales are at greater risk to close approaches by vessels, highlight the importance of understanding sex-specific responses to disturbance. These findings can inform future management decisions seeking to preserve foraging opportunities and enhance recovery efforts relevant to many cetacean species, including vulnerable and endangered populations.

Highlights

  • Nature-based tourism, including the viewing of free-ranging and often charismatic wildlife, is a well-established industry in many parts of the world

  • We used hidden Markov modeling of six observed sound and movement variables recorded from suction-cup tags attached to fish-eating killer whales, along with vessel data, to (1) characterize unobservable killer whale behavioral states and (2) identify vessel effects on foraging behavior

  • Consistent with earlier studies, but unveiling a sex effect, we found that females switched to a state distinctly different from foraging when vessels were close, compared to when vessels were far

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Summary

Introduction

Nature-based tourism, including the viewing of free-ranging and often charismatic wildlife, is a well-established industry in many parts of the world. We know little about how introduced signals might affect the use of sound and behavior in these aquatically obligate marine mammals, particular for species that rely on sound at similar frequencies for biosonar-based foraging. Given their cryptic nature, which imparts considerable challenges in quantifying anthropogenic effects, only a limited number of studies have been able to investigate behavioral effects of anthropogenic disturbance in odontocetes, whether all individuals are affected, given contextually dependent responses to disturbance (Ellison et al, 2012). Recent technological advances have enabled the use of smaller bio-logging instruments that are temporally attached to cetaceans, allowing researchers to better understand their subsurface behavior and investigate relevant anthropogenic effects (Johnson and Tyack, 2003; Quick et al, 2016; DeRuiter et al, 2017)

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