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Using triaxial accelerometry to detect hunts and kills by African wild dogs

Rory Wilson Orcid Logo

Front. Ecol. Evol., Volume: 12

Swansea University Author: Rory Wilson Orcid Logo

Abstract

Most large carnivores feed on prey infrequently and may expend large amounts of energy to locate, capture and kill their prey. This makes them probabilistically vulnerable to fluctuating rates of energy acquisition over time, especially within the increasingly human-altered landscapes that dominate...

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Published in: Front. Ecol. Evol.
Published: Frontiers
URI: https://cronfa.swan.ac.uk/Record/cronfa67606
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spelling v2 67606 2024-09-06 Using triaxial accelerometry to detect hunts and kills by African wild dogs 017bc6dd155098860945dc6249c4e9bc 0000-0003-3177-0177 Rory Wilson Rory Wilson true false 2024-09-06 BGPS Most large carnivores feed on prey infrequently and may expend large amounts of energy to locate, capture and kill their prey. This makes them probabilistically vulnerable to fluctuating rates of energy acquisition over time, especially within the increasingly human-altered landscapes that dominate their remaining range. Consequently, quantifying their hunting behaviors and success rates is critical, yet direct observation of these events is rarely feasible.This makes them probabilistically susceptible to highly variable rates of energy acquisition over time, particularly in the increasingly human-impacted landscapes characterising their remaining range so it is important to be able to quantify their hunts and successes, but this is rarely accomplished by direct observation. We theorized that we could determine prey pursuit and capture in African wild dogs (Lycaon pictus) using a mechanistic approach by constructing Boolean algorithms applied to accelerometer data derived from collar-mounted tags. Here, we used this method and then iteratively improved algorithms by testing them on observed hunts and kills of collared packs. Using this approach on 47 days of acceleration from three wild dogs in three packs, we identified 29 hunts with 10 kills, all of which were confirmed by direct observation except for a single kill. Our results demonstrate that hunting effort and success can largely be determined from acceleration data using a mechanistic approach. This is particularly valuable when such behaviours are rarely quantified and offers a template for research on foraging in canid species, while also contributing to the expanding body of literature that employs similar methods to quantify hunting in large carnivores.Our results demonstrate that measures of hunting effort and success can be largely resolved from acceleration data using a mechanistic approach, which is particularly valuable if such behaviours are rarely quantified and provides a template for research on foraging in top predators. Journal Article Front. Ecol. Evol. 12 Frontiers African wild dogs, accelerometryaccelerometery, hunts, kills, VeDBA, Movement, Pitch angle 0 0 0 0001-01-01 COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University 2024-10-25T12:34:26.1119100 2024-09-06T21:48:56.9085430 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Rory Wilson 0000-0003-3177-0177 1
title Using triaxial accelerometry to detect hunts and kills by African wild dogs
spellingShingle Using triaxial accelerometry to detect hunts and kills by African wild dogs
Rory Wilson
title_short Using triaxial accelerometry to detect hunts and kills by African wild dogs
title_full Using triaxial accelerometry to detect hunts and kills by African wild dogs
title_fullStr Using triaxial accelerometry to detect hunts and kills by African wild dogs
title_full_unstemmed Using triaxial accelerometry to detect hunts and kills by African wild dogs
title_sort Using triaxial accelerometry to detect hunts and kills by African wild dogs
author_id_str_mv 017bc6dd155098860945dc6249c4e9bc
author_id_fullname_str_mv 017bc6dd155098860945dc6249c4e9bc_***_Rory Wilson
author Rory Wilson
author2 Rory Wilson
format Journal article
container_title Front. Ecol. Evol.
container_volume 12
institution Swansea University
publisher Frontiers
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences
document_store_str 0
active_str 0
description Most large carnivores feed on prey infrequently and may expend large amounts of energy to locate, capture and kill their prey. This makes them probabilistically vulnerable to fluctuating rates of energy acquisition over time, especially within the increasingly human-altered landscapes that dominate their remaining range. Consequently, quantifying their hunting behaviors and success rates is critical, yet direct observation of these events is rarely feasible.This makes them probabilistically susceptible to highly variable rates of energy acquisition over time, particularly in the increasingly human-impacted landscapes characterising their remaining range so it is important to be able to quantify their hunts and successes, but this is rarely accomplished by direct observation. We theorized that we could determine prey pursuit and capture in African wild dogs (Lycaon pictus) using a mechanistic approach by constructing Boolean algorithms applied to accelerometer data derived from collar-mounted tags. Here, we used this method and then iteratively improved algorithms by testing them on observed hunts and kills of collared packs. Using this approach on 47 days of acceleration from three wild dogs in three packs, we identified 29 hunts with 10 kills, all of which were confirmed by direct observation except for a single kill. Our results demonstrate that hunting effort and success can largely be determined from acceleration data using a mechanistic approach. This is particularly valuable when such behaviours are rarely quantified and offers a template for research on foraging in canid species, while also contributing to the expanding body of literature that employs similar methods to quantify hunting in large carnivores.Our results demonstrate that measures of hunting effort and success can be largely resolved from acceleration data using a mechanistic approach, which is particularly valuable if such behaviours are rarely quantified and provides a template for research on foraging in top predators.
published_date 0001-01-01T12:34:24Z
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score 11.036684

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