Integrating multiple technologies to understand the foraging behaviour of Hawaiian monk seals

The objective of this research was to investigate and describe the foraging behaviour of monk seals in the main Hawaiian Islands. Specifically, our goal was to identify a metric to classify foraging behaviour from telemetry instruments. We deployed accelerometers, seal-mounted cameras and GPS tags o...

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Main Authors: Kenady Wilson, Charles Littnan, Patrick Halpin, Andrew Read
Format: Article
Language:English
Published: The Royal Society 2017-01-01
Series:Royal Society Open Science
Subjects:
Online Access:https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.160703
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spelling doaj-8468cbd258cc4bee9aa7b72590f6e41b2020-11-25T04:02:57ZengThe Royal SocietyRoyal Society Open Science2054-57032017-01-014310.1098/rsos.160703160703Integrating multiple technologies to understand the foraging behaviour of Hawaiian monk sealsKenady WilsonCharles LittnanPatrick HalpinAndrew ReadThe objective of this research was to investigate and describe the foraging behaviour of monk seals in the main Hawaiian Islands. Specifically, our goal was to identify a metric to classify foraging behaviour from telemetry instruments. We deployed accelerometers, seal-mounted cameras and GPS tags on six monk seals during 2012–2014 on the islands of Molokai, Kauai and Oahu. We used pitch, calculated from the accelerometer, to identify search events and thus classify foraging dives. A search event and consequent ‘foraging dive’ occurred when the pitch was greater than or equal to 70° at a depth less than or equal to −3 m. By integrating data from the accelerometers with video and GPS, we were able to ground-truth this classification method and identify environmental variables associated with each foraging dive. We used Bayesian logistic regression to identify the variables that influenced search events. Dive depth, body motion (mean overall dynamic body acceleration during the dive) and proximity to the sea floor were the best predictors of search events for these seals. Search events typically occurred on long, deep dives, with more time spent at the bottom (more than 50% bottom time). We can now identify where monk seals are foraging in the main Hawaiian Islands (MHI) and what covariates influence foraging behaviour in this region. This increased understanding will inform management strategies and supplement outreach and recovery efforts.https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.160703hawaiian monk sealforaging behaviouraccelerometercrittercam
collection DOAJ
language English
format Article
sources DOAJ
author Kenady Wilson
Charles Littnan
Patrick Halpin
Andrew Read
spellingShingle Kenady Wilson
Charles Littnan
Patrick Halpin
Andrew Read
Integrating multiple technologies to understand the foraging behaviour of Hawaiian monk seals
Royal Society Open Science
hawaiian monk seal
foraging behaviour
accelerometer
crittercam
author_facet Kenady Wilson
Charles Littnan
Patrick Halpin
Andrew Read
author_sort Kenady Wilson
title Integrating multiple technologies to understand the foraging behaviour of Hawaiian monk seals
title_short Integrating multiple technologies to understand the foraging behaviour of Hawaiian monk seals
title_full Integrating multiple technologies to understand the foraging behaviour of Hawaiian monk seals
title_fullStr Integrating multiple technologies to understand the foraging behaviour of Hawaiian monk seals
title_full_unstemmed Integrating multiple technologies to understand the foraging behaviour of Hawaiian monk seals
title_sort integrating multiple technologies to understand the foraging behaviour of hawaiian monk seals
publisher The Royal Society
series Royal Society Open Science
issn 2054-5703
publishDate 2017-01-01
description The objective of this research was to investigate and describe the foraging behaviour of monk seals in the main Hawaiian Islands. Specifically, our goal was to identify a metric to classify foraging behaviour from telemetry instruments. We deployed accelerometers, seal-mounted cameras and GPS tags on six monk seals during 2012–2014 on the islands of Molokai, Kauai and Oahu. We used pitch, calculated from the accelerometer, to identify search events and thus classify foraging dives. A search event and consequent ‘foraging dive’ occurred when the pitch was greater than or equal to 70° at a depth less than or equal to −3 m. By integrating data from the accelerometers with video and GPS, we were able to ground-truth this classification method and identify environmental variables associated with each foraging dive. We used Bayesian logistic regression to identify the variables that influenced search events. Dive depth, body motion (mean overall dynamic body acceleration during the dive) and proximity to the sea floor were the best predictors of search events for these seals. Search events typically occurred on long, deep dives, with more time spent at the bottom (more than 50% bottom time). We can now identify where monk seals are foraging in the main Hawaiian Islands (MHI) and what covariates influence foraging behaviour in this region. This increased understanding will inform management strategies and supplement outreach and recovery efforts.
topic hawaiian monk seal
foraging behaviour
accelerometer
crittercam
url https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.160703
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