Energetics as common currency for integrating high resolution activity patterns into dynamic energy budget-individual based models

Dynamic energy budget individual-based models (DEB-IBMs) provide a well-tested framework for modelling the acquisition and use of energy throughout the life cycle of organisms. These models are often developed using species-specific data to link behaviour and physiology and predict how individuals a...

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Main Authors: Chimienti, Marianna, Desforges, Jean-Pierre, Beumer, Larissa T., Nabe-Nielsen, Jacob, van Beest, Floris M., Schmidt, Niels Martin
Format: Article in Journal/Newspaper
Language:unknown
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Online Access:http://www.sciencedirect.com/science/article/pii/S0304380020303203
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spelling ftrepec:oai:RePEc:eee:ecomod:v:434:y:2020:i:c:s0304380020303203 2024-04-14T08:07:41+00:00 Energetics as common currency for integrating high resolution activity patterns into dynamic energy budget-individual based models Chimienti, Marianna Desforges, Jean-Pierre Beumer, Larissa T. Nabe-Nielsen, Jacob van Beest, Floris M. Schmidt, Niels Martin http://www.sciencedirect.com/science/article/pii/S0304380020303203 unknown http://www.sciencedirect.com/science/article/pii/S0304380020303203 article ftrepec 2024-03-19T10:36:29Z Dynamic energy budget individual-based models (DEB-IBMs) provide a well-tested framework for modelling the acquisition and use of energy throughout the life cycle of organisms. These models are often developed using species-specific data to link behaviour and physiology and predict how individuals and populations perform in changing environments. Novel bio-logging technology, applied to free-ranging animals, provide detailed information about individual behavioural variations and responses to the environment. However, so far, no DEB-IBM has attempted to link and parameterise energy dynamics with the fine-scale activity data obtained by bio-logging to answer questions related to life history events in wild populations. The aim of this study is, therefore, to develop and test a DEB-IBM framework which integrates individuals behaviour obtained from high-resolution activity data. Our approach uses data collected with GPS and accelerometer tags attached to two muskox (Ovibos moschatus). The individuals had different fates: one survived the Arctic winter, while the other died. Applying hidden Markov models to accelerometer data, we quantified the variation in behavioural activity budgets (in stationary, feeding and transit) in relation to environmental conditions. We subsequently test how differences in time allocation affect fitness outcomes such as body mass, energy reserves and survival. The proportion of time spent feeding by each animal is used within the DEB-IBM framework to scale the functional response for food acquisition. Simulations using the seasonal feeding budget of the deceased individual lead to drastically reduced energy reserves and body weight during the Arctic winter, and to elevated probabilities of mortality by the end of winter. In contrast, simulations using the seasonal feeding pattern of the surviving muskox, result in much less pronounced losses in reserves and body weight, leading to negligible over-winter mortality. The framework we present here uses standardized modelling techniques, is ... Article in Journal/Newspaper Arctic muskox ovibos moschatus RePEc (Research Papers in Economics) Arctic
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
description Dynamic energy budget individual-based models (DEB-IBMs) provide a well-tested framework for modelling the acquisition and use of energy throughout the life cycle of organisms. These models are often developed using species-specific data to link behaviour and physiology and predict how individuals and populations perform in changing environments. Novel bio-logging technology, applied to free-ranging animals, provide detailed information about individual behavioural variations and responses to the environment. However, so far, no DEB-IBM has attempted to link and parameterise energy dynamics with the fine-scale activity data obtained by bio-logging to answer questions related to life history events in wild populations. The aim of this study is, therefore, to develop and test a DEB-IBM framework which integrates individuals behaviour obtained from high-resolution activity data. Our approach uses data collected with GPS and accelerometer tags attached to two muskox (Ovibos moschatus). The individuals had different fates: one survived the Arctic winter, while the other died. Applying hidden Markov models to accelerometer data, we quantified the variation in behavioural activity budgets (in stationary, feeding and transit) in relation to environmental conditions. We subsequently test how differences in time allocation affect fitness outcomes such as body mass, energy reserves and survival. The proportion of time spent feeding by each animal is used within the DEB-IBM framework to scale the functional response for food acquisition. Simulations using the seasonal feeding budget of the deceased individual lead to drastically reduced energy reserves and body weight during the Arctic winter, and to elevated probabilities of mortality by the end of winter. In contrast, simulations using the seasonal feeding pattern of the surviving muskox, result in much less pronounced losses in reserves and body weight, leading to negligible over-winter mortality. The framework we present here uses standardized modelling techniques, is ...
format Article in Journal/Newspaper
author Chimienti, Marianna
Desforges, Jean-Pierre
Beumer, Larissa T.
Nabe-Nielsen, Jacob
van Beest, Floris M.
Schmidt, Niels Martin
spellingShingle Chimienti, Marianna
Desforges, Jean-Pierre
Beumer, Larissa T.
Nabe-Nielsen, Jacob
van Beest, Floris M.
Schmidt, Niels Martin
Energetics as common currency for integrating high resolution activity patterns into dynamic energy budget-individual based models
author_facet Chimienti, Marianna
Desforges, Jean-Pierre
Beumer, Larissa T.
Nabe-Nielsen, Jacob
van Beest, Floris M.
Schmidt, Niels Martin
author_sort Chimienti, Marianna
title Energetics as common currency for integrating high resolution activity patterns into dynamic energy budget-individual based models
title_short Energetics as common currency for integrating high resolution activity patterns into dynamic energy budget-individual based models
title_full Energetics as common currency for integrating high resolution activity patterns into dynamic energy budget-individual based models
title_fullStr Energetics as common currency for integrating high resolution activity patterns into dynamic energy budget-individual based models
title_full_unstemmed Energetics as common currency for integrating high resolution activity patterns into dynamic energy budget-individual based models
title_sort energetics as common currency for integrating high resolution activity patterns into dynamic energy budget-individual based models
url http://www.sciencedirect.com/science/article/pii/S0304380020303203
geographic Arctic
geographic_facet Arctic
genre Arctic
muskox
ovibos moschatus
genre_facet Arctic
muskox
ovibos moschatus
op_relation http://www.sciencedirect.com/science/article/pii/S0304380020303203
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