Confronting the challenges of whale avoidance by large vessels to reduce collision risk: A quantitative approach

Disturbance of wildlife by human transportation infrastructure is ubiquitous. This type of human-wildlife conflict has the potential to negatively impact wildlife population growth rates, especially for at-risk species like large whales. While many whale populations are rebounding as a result of a m...

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Main Author: Helm, Jennifer E
Format: Thesis
Language:unknown
Published: University of Montana 2018
Subjects:
Online Access:https://scholarworks.umt.edu/etd/11163
https://scholarworks.umt.edu/context/etd/article/12220/viewcontent/Helm_Jennifer_Thesis.pdf
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spelling ftunivmontana:oai:scholarworks.umt.edu:etd-12220 2023-07-16T03:58:55+02:00 Confronting the challenges of whale avoidance by large vessels to reduce collision risk: A quantitative approach Helm, Jennifer E 2018-01-01T08:00:00Z application/pdf https://scholarworks.umt.edu/etd/11163 https://scholarworks.umt.edu/context/etd/article/12220/viewcontent/Helm_Jennifer_Thesis.pdf unknown University of Montana https://scholarworks.umt.edu/etd/11163 https://scholarworks.umt.edu/context/etd/article/12220/viewcontent/Helm_Jennifer_Thesis.pdf Graduate Student Theses, Dissertations, & Professional Papers humpback whale ship strike temporal symmetry model collision avoidance strike zone Alaska Marine Biology thesis 2018 ftunivmontana 2023-06-27T23:40:19Z Disturbance of wildlife by human transportation infrastructure is ubiquitous. This type of human-wildlife conflict has the potential to negatively impact wildlife population growth rates, especially for at-risk species like large whales. While many whale populations are rebounding as a result of a moratorium on commercial whaling, increasing ship traffic constitutes a significant threat to whale conservation efforts in the form of ship-whale collisions (“ship strikes”). Ship strike avoidance is difficult because vessel operators can only see whales when they are breaking the surface of the water, or “available for detection,” and even then, they will only see them a fraction of the time (the “perception process”). We investigated the ability of ship operators to detect and actively avoid whales by quantifying two processes: the ability of vessel operators to ascertain the direction of travel of whales (Chapter 2), and the varying detection challenges faced by vessel operators as whales move through the “strike zone” (Chapter 3). In Chapter 2, we modeled the ability of vessel operators to congruously determine whale direction of travel as a function of ship-to-whale distance and the number of surfacings in a bout. We found that the probability of making a congruous DT assignment increased as surfacing bout length increased and as ship-to-whale distance decreased. We also modeled the time it took vessel operators to make a DT assignment after the first sighting of a whale, and found that the probability of making a DT assignment was around 0.5 after three minutes had passed. In Chapter 3, we modeled the probabilities of whales entering and exiting the upper portion of the water column where they are at risk of ship strike (the “strike zone”), as well as the availability probability. We found that whales are present and undetected in the strike zone far more frequently than they are available for detection, which has important consequences for ship strike avoidance protocols and regulations. Thesis Humpback Whale Alaska University of Montana: ScholarWorks
institution Open Polar
collection University of Montana: ScholarWorks
op_collection_id ftunivmontana
language unknown
topic humpback whale
ship strike
temporal symmetry model
collision avoidance
strike zone
Alaska
Marine Biology
spellingShingle humpback whale
ship strike
temporal symmetry model
collision avoidance
strike zone
Alaska
Marine Biology
Helm, Jennifer E
Confronting the challenges of whale avoidance by large vessels to reduce collision risk: A quantitative approach
topic_facet humpback whale
ship strike
temporal symmetry model
collision avoidance
strike zone
Alaska
Marine Biology
description Disturbance of wildlife by human transportation infrastructure is ubiquitous. This type of human-wildlife conflict has the potential to negatively impact wildlife population growth rates, especially for at-risk species like large whales. While many whale populations are rebounding as a result of a moratorium on commercial whaling, increasing ship traffic constitutes a significant threat to whale conservation efforts in the form of ship-whale collisions (“ship strikes”). Ship strike avoidance is difficult because vessel operators can only see whales when they are breaking the surface of the water, or “available for detection,” and even then, they will only see them a fraction of the time (the “perception process”). We investigated the ability of ship operators to detect and actively avoid whales by quantifying two processes: the ability of vessel operators to ascertain the direction of travel of whales (Chapter 2), and the varying detection challenges faced by vessel operators as whales move through the “strike zone” (Chapter 3). In Chapter 2, we modeled the ability of vessel operators to congruously determine whale direction of travel as a function of ship-to-whale distance and the number of surfacings in a bout. We found that the probability of making a congruous DT assignment increased as surfacing bout length increased and as ship-to-whale distance decreased. We also modeled the time it took vessel operators to make a DT assignment after the first sighting of a whale, and found that the probability of making a DT assignment was around 0.5 after three minutes had passed. In Chapter 3, we modeled the probabilities of whales entering and exiting the upper portion of the water column where they are at risk of ship strike (the “strike zone”), as well as the availability probability. We found that whales are present and undetected in the strike zone far more frequently than they are available for detection, which has important consequences for ship strike avoidance protocols and regulations.
format Thesis
author Helm, Jennifer E
author_facet Helm, Jennifer E
author_sort Helm, Jennifer E
title Confronting the challenges of whale avoidance by large vessels to reduce collision risk: A quantitative approach
title_short Confronting the challenges of whale avoidance by large vessels to reduce collision risk: A quantitative approach
title_full Confronting the challenges of whale avoidance by large vessels to reduce collision risk: A quantitative approach
title_fullStr Confronting the challenges of whale avoidance by large vessels to reduce collision risk: A quantitative approach
title_full_unstemmed Confronting the challenges of whale avoidance by large vessels to reduce collision risk: A quantitative approach
title_sort confronting the challenges of whale avoidance by large vessels to reduce collision risk: a quantitative approach
publisher University of Montana
publishDate 2018
url https://scholarworks.umt.edu/etd/11163
https://scholarworks.umt.edu/context/etd/article/12220/viewcontent/Helm_Jennifer_Thesis.pdf
genre Humpback Whale
Alaska
genre_facet Humpback Whale
Alaska
op_source Graduate Student Theses, Dissertations, & Professional Papers
op_relation https://scholarworks.umt.edu/etd/11163
https://scholarworks.umt.edu/context/etd/article/12220/viewcontent/Helm_Jennifer_Thesis.pdf
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