Literature DB >> 27509749

Prey-mediated behavioral responses of feeding blue whales in controlled sound exposure experiments.

A S Friedlaender, E L Hazen, J A Goldbogen, A K Stimpert, J Calambokidis, B L Southall.   

Abstract

Behavioral response studies provide significant insights into the nature, magnitude, and consequences of changes in animal behavior in response to some external stimulus. Controlled exposure experiments (CEEs) to study behavioral response have faced challenges in quantifying the importance of and interaction among individual variability, exposure conditions, and environmental covariates. To investigate these complex parameters relative to blue whale behavior and how it may change as a function of certain sounds, we deployed multi-sensor acoustic tags and conducted CEEs using simulated mid-frequency active sonar (MFAS) and pseudo-random noise (PRN) stimuli, while collecting synoptic, quantitative prey measures. In contrast to previous approaches that lacked such prey data, our integrated approach explained substantially more variance in blue whale dive behavioral responses to mid-frequency sounds (r2 = 0.725 vs. 0.14 previously). Results demonstrate that deep-feeding whales respond more clearly and strongly to CEEs than those in other behavioral states, but this was only evident with the increased explanatory power provided by incorporating prey density and distribution as contextual covariates. Including contextual variables increases the ability to characterize behavioral variability and empirically strengthens previous findings that deep-feeding blue whales respond significantly to mid-frequency sound exposure. However, our results are only based on a single behavioral state with a limited sample size, and this analytical framework should be applied broadly across behavioral states. The increased capability to describe and account for individual response variability by including environmental variables, such as prey, that drive foraging behavior underscores the importance of integrating these and other relevant contextual parameters in experimental designs. Our results suggest the need to measure and account for the ecological dynamics of predator-prey interactions when studying the effects of anthropogenic disturbance in feeding animals.

Entities:  

Mesh:

Year:  2016        PMID: 27509749     DOI: 10.1002/15-0783

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  6 in total

1.  Western gray whales and seismic operations: an introduction to the topical selection and a tribute to the late Rodger Melton.

Authors:  Bill Streever
Journal:  Environ Monit Assess       Date:  2022-10-18       Impact factor: 3.307

2.  High mortality of blue, humpback and fin whales from modeling of vessel collisions on the U.S. West Coast suggests population impacts and insufficient protection.

Authors:  R Cotton Rockwood; John Calambokidis; Jaime Jahncke
Journal:  PLoS One       Date:  2017-08-21       Impact factor: 3.240

3.  Leave or stay? Video-logger revealed foraging efficiency of humpback whales under temporal change in prey density.

Authors:  Yu Akiyama; Tomonari Akamatsu; Marianne H Rasmussen; Maria R Iversen; Takashi Iwata; Yusuke Goto; Kagari Aoki; Katsufumi Sato
Journal:  PLoS One       Date:  2019-02-05       Impact factor: 3.240

4.  Bio-energetic modeling of medium-sized cetaceans shows high sensitivity to disturbance in seasons of low resource supply.

Authors:  Vincent Hin; John Harwood; André M de Roos
Journal:  Ecol Appl       Date:  2019-05-16       Impact factor: 4.657

5.  Insight into the kinematics of blue whale surface foraging through drone observations and prey data.

Authors:  Leigh G Torres; Dawn R Barlow; Todd E Chandler; Jonathan D Burnett
Journal:  PeerJ       Date:  2020-04-22       Impact factor: 2.984

6.  Context-dependent variability in the predicted daily energetic costs of disturbance for blue whales.

Authors:  Enrico Pirotta; Cormac G Booth; David E Cade; John Calambokidis; Daniel P Costa; James A Fahlbusch; Ari S Friedlaender; Jeremy A Goldbogen; John Harwood; Elliott L Hazen; Leslie New; Brandon L Southall
Journal:  Conserv Physiol       Date:  2021-01-16       Impact factor: 3.079

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.