Context-dependent variability in the predicted daily energetic costs of disturbance for blue whales.
Assessing the long-term consequences of sub-lethal anthropogenic disturbance on wildlife populations requires integrating data on fine-scale individual behavior and physiology into spatially and temporally broader, population-level inference. A typical behavioral response to disturbance is the cessa...
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2021
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ftcdlib:oai:escholarship.org:ark:/13030/qt23t4f8m4 2023-09-05T13:18:19+02:00 Context-dependent variability in the predicted daily energetic costs of disturbance for blue whales. Pirotta, Enrico Booth, Cormac Cade, David Calambokidis, John Costa, Daniel Fahlbusch, James Friedlaender, Ari Goldbogen, Jeremy Harwood, John Hazen, Elliott New, Leslie Southall, Brandon 2021-01-01 application/pdf https://escholarship.org/uc/item/23t4f8m4 unknown eScholarship, University of California qt23t4f8m4 https://escholarship.org/uc/item/23t4f8m4 public Conservation Physiology, vol 9, iss 1 Behavioral response studies data integration energy budget marine mammals navy sonar population consequences of disturbance article 2021 ftcdlib 2023-08-21T18:06:32Z Assessing the long-term consequences of sub-lethal anthropogenic disturbance on wildlife populations requires integrating data on fine-scale individual behavior and physiology into spatially and temporally broader, population-level inference. A typical behavioral response to disturbance is the cessation of foraging, which can be translated into a common metric of energetic cost. However, this necessitates detailed empirical information on baseline movements, activity budgets, feeding rates and energy intake, as well as the probability of an individual responding to the disturbance-inducing stressor within different exposure contexts. Here, we integrated data from blue whales (Balaenoptera musculus) experimentally exposed to military active sonar signals with fine-scale measurements of baseline behavior over multiple days or weeks obtained from accelerometry loggers, telemetry tracking and prey sampling. Specifically, we developed daily simulations of movement, feeding behavior and exposure to localized sonar events of increasing duration and intensity and predicted the effects of this disturbance source on the daily energy intake of an individual. Activity budgets and movements were highly variable in space and time and among individuals, resulting in large variability in predicted energetic intake and costs. In half of our simulations, an individuals energy intake was unaffected by the simulated source. However, some individuals lost their entire daily energy intake under brief or weak exposure scenarios. Given this large variation, population-level models will have to assess the consequences of the entire distribution of energetic costs, rather than only consider single summary statistics. The shape of the exposure-response functions also strongly influenced predictions, reinforcing the need for contextually explicit experiments and improved mechanistic understanding of the processes driving behavioral and physiological responses to disturbance. This study presents a robust approach for integrating different ... Article in Journal/Newspaper Balaenoptera musculus University of California: eScholarship |
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Open Polar |
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University of California: eScholarship |
op_collection_id |
ftcdlib |
language |
unknown |
topic |
Behavioral response studies data integration energy budget marine mammals navy sonar population consequences of disturbance |
spellingShingle |
Behavioral response studies data integration energy budget marine mammals navy sonar population consequences of disturbance Pirotta, Enrico Booth, Cormac Cade, David Calambokidis, John Costa, Daniel Fahlbusch, James Friedlaender, Ari Goldbogen, Jeremy Harwood, John Hazen, Elliott New, Leslie Southall, Brandon Context-dependent variability in the predicted daily energetic costs of disturbance for blue whales. |
topic_facet |
Behavioral response studies data integration energy budget marine mammals navy sonar population consequences of disturbance |
description |
Assessing the long-term consequences of sub-lethal anthropogenic disturbance on wildlife populations requires integrating data on fine-scale individual behavior and physiology into spatially and temporally broader, population-level inference. A typical behavioral response to disturbance is the cessation of foraging, which can be translated into a common metric of energetic cost. However, this necessitates detailed empirical information on baseline movements, activity budgets, feeding rates and energy intake, as well as the probability of an individual responding to the disturbance-inducing stressor within different exposure contexts. Here, we integrated data from blue whales (Balaenoptera musculus) experimentally exposed to military active sonar signals with fine-scale measurements of baseline behavior over multiple days or weeks obtained from accelerometry loggers, telemetry tracking and prey sampling. Specifically, we developed daily simulations of movement, feeding behavior and exposure to localized sonar events of increasing duration and intensity and predicted the effects of this disturbance source on the daily energy intake of an individual. Activity budgets and movements were highly variable in space and time and among individuals, resulting in large variability in predicted energetic intake and costs. In half of our simulations, an individuals energy intake was unaffected by the simulated source. However, some individuals lost their entire daily energy intake under brief or weak exposure scenarios. Given this large variation, population-level models will have to assess the consequences of the entire distribution of energetic costs, rather than only consider single summary statistics. The shape of the exposure-response functions also strongly influenced predictions, reinforcing the need for contextually explicit experiments and improved mechanistic understanding of the processes driving behavioral and physiological responses to disturbance. This study presents a robust approach for integrating different ... |
format |
Article in Journal/Newspaper |
author |
Pirotta, Enrico Booth, Cormac Cade, David Calambokidis, John Costa, Daniel Fahlbusch, James Friedlaender, Ari Goldbogen, Jeremy Harwood, John Hazen, Elliott New, Leslie Southall, Brandon |
author_facet |
Pirotta, Enrico Booth, Cormac Cade, David Calambokidis, John Costa, Daniel Fahlbusch, James Friedlaender, Ari Goldbogen, Jeremy Harwood, John Hazen, Elliott New, Leslie Southall, Brandon |
author_sort |
Pirotta, Enrico |
title |
Context-dependent variability in the predicted daily energetic costs of disturbance for blue whales. |
title_short |
Context-dependent variability in the predicted daily energetic costs of disturbance for blue whales. |
title_full |
Context-dependent variability in the predicted daily energetic costs of disturbance for blue whales. |
title_fullStr |
Context-dependent variability in the predicted daily energetic costs of disturbance for blue whales. |
title_full_unstemmed |
Context-dependent variability in the predicted daily energetic costs of disturbance for blue whales. |
title_sort |
context-dependent variability in the predicted daily energetic costs of disturbance for blue whales. |
publisher |
eScholarship, University of California |
publishDate |
2021 |
url |
https://escholarship.org/uc/item/23t4f8m4 |
genre |
Balaenoptera musculus |
genre_facet |
Balaenoptera musculus |
op_source |
Conservation Physiology, vol 9, iss 1 |
op_relation |
qt23t4f8m4 https://escholarship.org/uc/item/23t4f8m4 |
op_rights |
public |
_version_ |
1776199301089722368 |