Sperm whale foraging behaviour: a predicted model based on 3D movement and acoustic data from Dtags
High-resolution sound and movement recording tags (e.g. Dtags, Acousonde tags, Atags) offer unprecedented views of the fine-scale foraging behaviour of cetaceans, especially those that use sound to forage, such as the sperm whale (Physeter macrocephalus). However, access to these tags is difficult a...
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ftunivalgarve:oai:sapientia.ualg.pt:10400.1/15325 2023-05-15T15:47:41+02:00 Sperm whale foraging behaviour: a predicted model based on 3D movement and acoustic data from Dtags Rivas, Esteban Iglesias Marçalo, Ana Silva, Mónica Almeida e Oliveira, Cláudia Inês Botelho de 2020-12-17 http://hdl.handle.net/10400.1/15325 eng eng http://hdl.handle.net/10400.1/15325 202663370 openAccess http://creativecommons.org/licenses/by/4.0/ CC-BY Cachalote Dtag Dados tempo-profundidade Comportamento de alimentação Modelo preditivo de "buzzes" Domínio/Área Científica::Ciências Naturais::Outras Ciências Naturais masterThesis 2020 ftunivalgarve 2022-05-30T08:49:35Z High-resolution sound and movement recording tags (e.g. Dtags, Acousonde tags, Atags) offer unprecedented views of the fine-scale foraging behaviour of cetaceans, especially those that use sound to forage, such as the sperm whale (Physeter macrocephalus). However, access to these tags is difficult and expensive, limiting studies of sperm whale foraging behaviour to small sample sizes and short time periods, preventing inferences at the population level. The development of accurate foraging indices from relatively inexpensive time-depth recorder (TDR) data would allow obtaining data from a larger number of individuals, and capitalizing on datasets already available, providing long-term analyses of foraging activity. In this study, data from high-resolution acoustic and movement recording tags from 8 sperm whales was used to build predictive models of the number of buzzes (i.e, indicative of prey capture attempts (PCA)) for dive segments of different lengths, using dive metrics calculated from timedepth data only. The number of buzzes per dive segments of 180s and 300s was best predicted by the average depth, depth variance, vertical velocity variance and number of wiggles. Model performance was best for 180s segments, accurately predicting the number of buzzes in 63% of the segments used to construct the model and in 58% of the segments for new individuals. Predictive accuracy reached 81%, when only presence or absence of buzzes in segments was assessed. These results demonstrate the feasibility of finding a reliable index of sperm whale foraging activity for time-depth data, when combining different dive metrics. This index estimates the number of buzzes over short dive segments (of 180s), enabling investigating and quantifying PCAs at very finescales. Finally, this work contributes to leverage the potential of time-depth data for studying the foraging ecology of sperm whales and the capacity of applying this approach to a wide range of cetacean species. O cachalote (Physeter macrocephalus) é um dos mais ... Master Thesis cachalote Physeter macrocephalus Sperm whale Universidade do Algarve: Sapienta Cachalote ENVELOPE(-45.800,-45.800,-60.817,-60.817) |
institution |
Open Polar |
collection |
Universidade do Algarve: Sapienta |
op_collection_id |
ftunivalgarve |
language |
English |
topic |
Cachalote Dtag Dados tempo-profundidade Comportamento de alimentação Modelo preditivo de "buzzes" Domínio/Área Científica::Ciências Naturais::Outras Ciências Naturais |
spellingShingle |
Cachalote Dtag Dados tempo-profundidade Comportamento de alimentação Modelo preditivo de "buzzes" Domínio/Área Científica::Ciências Naturais::Outras Ciências Naturais Rivas, Esteban Iglesias Sperm whale foraging behaviour: a predicted model based on 3D movement and acoustic data from Dtags |
topic_facet |
Cachalote Dtag Dados tempo-profundidade Comportamento de alimentação Modelo preditivo de "buzzes" Domínio/Área Científica::Ciências Naturais::Outras Ciências Naturais |
description |
High-resolution sound and movement recording tags (e.g. Dtags, Acousonde tags, Atags) offer unprecedented views of the fine-scale foraging behaviour of cetaceans, especially those that use sound to forage, such as the sperm whale (Physeter macrocephalus). However, access to these tags is difficult and expensive, limiting studies of sperm whale foraging behaviour to small sample sizes and short time periods, preventing inferences at the population level. The development of accurate foraging indices from relatively inexpensive time-depth recorder (TDR) data would allow obtaining data from a larger number of individuals, and capitalizing on datasets already available, providing long-term analyses of foraging activity. In this study, data from high-resolution acoustic and movement recording tags from 8 sperm whales was used to build predictive models of the number of buzzes (i.e, indicative of prey capture attempts (PCA)) for dive segments of different lengths, using dive metrics calculated from timedepth data only. The number of buzzes per dive segments of 180s and 300s was best predicted by the average depth, depth variance, vertical velocity variance and number of wiggles. Model performance was best for 180s segments, accurately predicting the number of buzzes in 63% of the segments used to construct the model and in 58% of the segments for new individuals. Predictive accuracy reached 81%, when only presence or absence of buzzes in segments was assessed. These results demonstrate the feasibility of finding a reliable index of sperm whale foraging activity for time-depth data, when combining different dive metrics. This index estimates the number of buzzes over short dive segments (of 180s), enabling investigating and quantifying PCAs at very finescales. Finally, this work contributes to leverage the potential of time-depth data for studying the foraging ecology of sperm whales and the capacity of applying this approach to a wide range of cetacean species. O cachalote (Physeter macrocephalus) é um dos mais ... |
author2 |
Marçalo, Ana Silva, Mónica Almeida e Oliveira, Cláudia Inês Botelho de |
format |
Master Thesis |
author |
Rivas, Esteban Iglesias |
author_facet |
Rivas, Esteban Iglesias |
author_sort |
Rivas, Esteban Iglesias |
title |
Sperm whale foraging behaviour: a predicted model based on 3D movement and acoustic data from Dtags |
title_short |
Sperm whale foraging behaviour: a predicted model based on 3D movement and acoustic data from Dtags |
title_full |
Sperm whale foraging behaviour: a predicted model based on 3D movement and acoustic data from Dtags |
title_fullStr |
Sperm whale foraging behaviour: a predicted model based on 3D movement and acoustic data from Dtags |
title_full_unstemmed |
Sperm whale foraging behaviour: a predicted model based on 3D movement and acoustic data from Dtags |
title_sort |
sperm whale foraging behaviour: a predicted model based on 3d movement and acoustic data from dtags |
publishDate |
2020 |
url |
http://hdl.handle.net/10400.1/15325 |
long_lat |
ENVELOPE(-45.800,-45.800,-60.817,-60.817) |
geographic |
Cachalote |
geographic_facet |
Cachalote |
genre |
cachalote Physeter macrocephalus Sperm whale |
genre_facet |
cachalote Physeter macrocephalus Sperm whale |
op_relation |
http://hdl.handle.net/10400.1/15325 202663370 |
op_rights |
openAccess http://creativecommons.org/licenses/by/4.0/ |
op_rightsnorm |
CC-BY |
_version_ |
1766382591235063808 |