An application of upscaled optimal foraging theory using hidden Markov modelling: year-round behavioural variation in a large arctic herbivore

Abstract Background In highly seasonal environments, animals face critical decisions regarding time allocation, diet optimisation, and habitat use. In the Arctic, the short summers are crucial for replenishing body reserves, while low food availability and increased energetic demands characterise th...

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Published in:Movement Ecology
Main Authors: Larissa T. Beumer, Jennifer Pohle, Niels M. Schmidt, Marianna Chimienti, Jean-Pierre Desforges, Lars H. Hansen, Roland Langrock, Stine Højlund Pedersen, Mikkel Stelvig, Floris M. van Beest
Format: Article in Journal/Newspaper
Language:English
Published: BMC 2020
Subjects:
Online Access:https://doi.org/10.1186/s40462-020-00213-x
https://doaj.org/article/5eb2c2b0b9064427bc6edea6f1d5238c
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spelling ftdoajarticles:oai:doaj.org/article:5eb2c2b0b9064427bc6edea6f1d5238c 2023-05-15T14:50:14+02:00 An application of upscaled optimal foraging theory using hidden Markov modelling: year-round behavioural variation in a large arctic herbivore Larissa T. Beumer Jennifer Pohle Niels M. Schmidt Marianna Chimienti Jean-Pierre Desforges Lars H. Hansen Roland Langrock Stine Højlund Pedersen Mikkel Stelvig Floris M. van Beest 2020-06-01T00:00:00Z https://doi.org/10.1186/s40462-020-00213-x https://doaj.org/article/5eb2c2b0b9064427bc6edea6f1d5238c EN eng BMC http://link.springer.com/article/10.1186/s40462-020-00213-x https://doaj.org/toc/2051-3933 doi:10.1186/s40462-020-00213-x 2051-3933 https://doaj.org/article/5eb2c2b0b9064427bc6edea6f1d5238c Movement Ecology, Vol 8, Iss 1, Pp 1-16 (2020) Hidden Markov modelling Behavioural state classification Seasonality Activity budgets Arctic ungulate Optimal foraging theory Biology (General) QH301-705.5 article 2020 ftdoajarticles https://doi.org/10.1186/s40462-020-00213-x 2022-12-31T04:00:15Z Abstract Background In highly seasonal environments, animals face critical decisions regarding time allocation, diet optimisation, and habitat use. In the Arctic, the short summers are crucial for replenishing body reserves, while low food availability and increased energetic demands characterise the long winters (9–10 months). Under such extreme seasonal variability, even small deviations from optimal time allocation can markedly impact individuals’ condition, reproductive success and survival. We investigated which environmental conditions influenced daily, seasonal, and interannual variation in time allocation in high-arctic muskoxen (Ovibos moschatus) and evaluated whether results support qualitative predictions derived from upscaled optimal foraging theory. Methods Using hidden Markov models (HMMs), we inferred behavioural states (foraging, resting, relocating) from hourly positions of GPS-collared females tracked in northeast Greenland (28 muskox-years). To relate behavioural variation to environmental conditions, we considered a wide range of spatially and/or temporally explicit covariates in the HMMs. Results While we found little interannual variation, daily and seasonal time allocation varied markedly. Scheduling of daily activities was distinct throughout the year except for the period of continuous daylight. During summer, muskoxen spent about 69% of time foraging and 19% resting, without environmental constraints on foraging activity. During winter, time spent foraging decreased to 45%, whereas about 43% of time was spent resting, mediated by longer resting bouts than during summer. Conclusions Our results clearly indicate that female muskoxen follow an energy intake maximisation strategy during the arctic summer. During winter, our results were not easily reconcilable with just one dominant foraging strategy. The overall reduction in activity likely reflects higher time requirements for rumination in response to the reduction of forage quality (supporting an energy intake maximisation strategy). ... Article in Journal/Newspaper Arctic Greenland muskox ovibos moschatus Directory of Open Access Journals: DOAJ Articles Arctic Greenland Movement Ecology 8 1
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Hidden Markov modelling
Behavioural state classification
Seasonality
Activity budgets
Arctic ungulate
Optimal foraging theory
Biology (General)
QH301-705.5
spellingShingle Hidden Markov modelling
Behavioural state classification
Seasonality
Activity budgets
Arctic ungulate
Optimal foraging theory
Biology (General)
QH301-705.5
Larissa T. Beumer
Jennifer Pohle
Niels M. Schmidt
Marianna Chimienti
Jean-Pierre Desforges
Lars H. Hansen
Roland Langrock
Stine Højlund Pedersen
Mikkel Stelvig
Floris M. van Beest
An application of upscaled optimal foraging theory using hidden Markov modelling: year-round behavioural variation in a large arctic herbivore
topic_facet Hidden Markov modelling
Behavioural state classification
Seasonality
Activity budgets
Arctic ungulate
Optimal foraging theory
Biology (General)
QH301-705.5
description Abstract Background In highly seasonal environments, animals face critical decisions regarding time allocation, diet optimisation, and habitat use. In the Arctic, the short summers are crucial for replenishing body reserves, while low food availability and increased energetic demands characterise the long winters (9–10 months). Under such extreme seasonal variability, even small deviations from optimal time allocation can markedly impact individuals’ condition, reproductive success and survival. We investigated which environmental conditions influenced daily, seasonal, and interannual variation in time allocation in high-arctic muskoxen (Ovibos moschatus) and evaluated whether results support qualitative predictions derived from upscaled optimal foraging theory. Methods Using hidden Markov models (HMMs), we inferred behavioural states (foraging, resting, relocating) from hourly positions of GPS-collared females tracked in northeast Greenland (28 muskox-years). To relate behavioural variation to environmental conditions, we considered a wide range of spatially and/or temporally explicit covariates in the HMMs. Results While we found little interannual variation, daily and seasonal time allocation varied markedly. Scheduling of daily activities was distinct throughout the year except for the period of continuous daylight. During summer, muskoxen spent about 69% of time foraging and 19% resting, without environmental constraints on foraging activity. During winter, time spent foraging decreased to 45%, whereas about 43% of time was spent resting, mediated by longer resting bouts than during summer. Conclusions Our results clearly indicate that female muskoxen follow an energy intake maximisation strategy during the arctic summer. During winter, our results were not easily reconcilable with just one dominant foraging strategy. The overall reduction in activity likely reflects higher time requirements for rumination in response to the reduction of forage quality (supporting an energy intake maximisation strategy). ...
format Article in Journal/Newspaper
author Larissa T. Beumer
Jennifer Pohle
Niels M. Schmidt
Marianna Chimienti
Jean-Pierre Desforges
Lars H. Hansen
Roland Langrock
Stine Højlund Pedersen
Mikkel Stelvig
Floris M. van Beest
author_facet Larissa T. Beumer
Jennifer Pohle
Niels M. Schmidt
Marianna Chimienti
Jean-Pierre Desforges
Lars H. Hansen
Roland Langrock
Stine Højlund Pedersen
Mikkel Stelvig
Floris M. van Beest
author_sort Larissa T. Beumer
title An application of upscaled optimal foraging theory using hidden Markov modelling: year-round behavioural variation in a large arctic herbivore
title_short An application of upscaled optimal foraging theory using hidden Markov modelling: year-round behavioural variation in a large arctic herbivore
title_full An application of upscaled optimal foraging theory using hidden Markov modelling: year-round behavioural variation in a large arctic herbivore
title_fullStr An application of upscaled optimal foraging theory using hidden Markov modelling: year-round behavioural variation in a large arctic herbivore
title_full_unstemmed An application of upscaled optimal foraging theory using hidden Markov modelling: year-round behavioural variation in a large arctic herbivore
title_sort application of upscaled optimal foraging theory using hidden markov modelling: year-round behavioural variation in a large arctic herbivore
publisher BMC
publishDate 2020
url https://doi.org/10.1186/s40462-020-00213-x
https://doaj.org/article/5eb2c2b0b9064427bc6edea6f1d5238c
geographic Arctic
Greenland
geographic_facet Arctic
Greenland
genre Arctic
Greenland
muskox
ovibos moschatus
genre_facet Arctic
Greenland
muskox
ovibos moschatus
op_source Movement Ecology, Vol 8, Iss 1, Pp 1-16 (2020)
op_relation http://link.springer.com/article/10.1186/s40462-020-00213-x
https://doaj.org/toc/2051-3933
doi:10.1186/s40462-020-00213-x
2051-3933
https://doaj.org/article/5eb2c2b0b9064427bc6edea6f1d5238c
op_doi https://doi.org/10.1186/s40462-020-00213-x
container_title Movement Ecology
container_volume 8
container_issue 1
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