Seasonal food webs with migrations: multi-season models reveal indirect species interactions in the Canadian Arctic tundra
Models incorporating seasonality are necessary to fully assess the impact of global warming on Arctic communities. Seasonal migrations are a key component of Arctic food webs that still elude current theories predicting a single community equilibrium. We develop a multi-season model of predator–prey...
Published in: | Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences |
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Online Access: | http://dx.doi.org/10.1098/rsta.2019.0354 https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2019.0354 https://royalsocietypublishing.org/doi/full-xml/10.1098/rsta.2019.0354 |
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crroyalsociety:10.1098/rsta.2019.0354 2024-06-02T08:01:07+00:00 Seasonal food webs with migrations: multi-season models reveal indirect species interactions in the Canadian Arctic tundra Hutchison, Chantal Guichard, Frédéric Legagneux, Pierre Gauthier, Gilles Bêty, Joël Berteaux, Dominique Fauteux, Dominique Gravel, Dominique Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada 2020 http://dx.doi.org/10.1098/rsta.2019.0354 https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2019.0354 https://royalsocietypublishing.org/doi/full-xml/10.1098/rsta.2019.0354 en eng The Royal Society https://royalsociety.org/-/media/journals/author/Licence-to-Publish-20062019-final.pdf https://royalsociety.org/journals/ethics-policies/data-sharing-mining/ Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences volume 378, issue 2181, page 20190354 ISSN 1364-503X 1471-2962 journal-article 2020 crroyalsociety https://doi.org/10.1098/rsta.2019.0354 2024-05-07T14:16:57Z Models incorporating seasonality are necessary to fully assess the impact of global warming on Arctic communities. Seasonal migrations are a key component of Arctic food webs that still elude current theories predicting a single community equilibrium. We develop a multi-season model of predator–prey dynamics using a hybrid dynamical systems framework applied to a simplified tundra food web (lemming–fox–goose–owl). Hybrid systems models can accommodate multiple equilibria, which is a basic requirement for modelling food webs whose topology changes with season. We demonstrate that our model can generate multi-annual cycling in lemming dynamics, solely from a combined effect of seasonality and state-dependent behaviour. We compare our multi-season model to a static model of the predator–prey community dynamics and study the interactions between species. Interestingly, including seasonality reveals indirect interactions between migrants and residents not captured by the static model. Further, we find that the direction and magnitude of interactions between two species are not necessarily accurate using only summer time-series. Our study demonstrates the need for the development of multi-season models and provides the tools to analyse them. Integrating seasonality in food web modelling is a vital step to improve predictions about the impacts of climate change on ecosystem functioning. This article is part of the theme issue ‘The changing Arctic Ocean: consequences for biological communities, biogeochemical processes and ecosystem functioning’. Article in Journal/Newspaper Arctic Arctic Ocean Climate change Global warming Tundra The Royal Society Arctic Arctic Ocean Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378 2181 20190354 |
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The Royal Society |
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crroyalsociety |
language |
English |
description |
Models incorporating seasonality are necessary to fully assess the impact of global warming on Arctic communities. Seasonal migrations are a key component of Arctic food webs that still elude current theories predicting a single community equilibrium. We develop a multi-season model of predator–prey dynamics using a hybrid dynamical systems framework applied to a simplified tundra food web (lemming–fox–goose–owl). Hybrid systems models can accommodate multiple equilibria, which is a basic requirement for modelling food webs whose topology changes with season. We demonstrate that our model can generate multi-annual cycling in lemming dynamics, solely from a combined effect of seasonality and state-dependent behaviour. We compare our multi-season model to a static model of the predator–prey community dynamics and study the interactions between species. Interestingly, including seasonality reveals indirect interactions between migrants and residents not captured by the static model. Further, we find that the direction and magnitude of interactions between two species are not necessarily accurate using only summer time-series. Our study demonstrates the need for the development of multi-season models and provides the tools to analyse them. Integrating seasonality in food web modelling is a vital step to improve predictions about the impacts of climate change on ecosystem functioning. This article is part of the theme issue ‘The changing Arctic Ocean: consequences for biological communities, biogeochemical processes and ecosystem functioning’. |
author2 |
Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada |
format |
Article in Journal/Newspaper |
author |
Hutchison, Chantal Guichard, Frédéric Legagneux, Pierre Gauthier, Gilles Bêty, Joël Berteaux, Dominique Fauteux, Dominique Gravel, Dominique |
spellingShingle |
Hutchison, Chantal Guichard, Frédéric Legagneux, Pierre Gauthier, Gilles Bêty, Joël Berteaux, Dominique Fauteux, Dominique Gravel, Dominique Seasonal food webs with migrations: multi-season models reveal indirect species interactions in the Canadian Arctic tundra |
author_facet |
Hutchison, Chantal Guichard, Frédéric Legagneux, Pierre Gauthier, Gilles Bêty, Joël Berteaux, Dominique Fauteux, Dominique Gravel, Dominique |
author_sort |
Hutchison, Chantal |
title |
Seasonal food webs with migrations: multi-season models reveal indirect species interactions in the Canadian Arctic tundra |
title_short |
Seasonal food webs with migrations: multi-season models reveal indirect species interactions in the Canadian Arctic tundra |
title_full |
Seasonal food webs with migrations: multi-season models reveal indirect species interactions in the Canadian Arctic tundra |
title_fullStr |
Seasonal food webs with migrations: multi-season models reveal indirect species interactions in the Canadian Arctic tundra |
title_full_unstemmed |
Seasonal food webs with migrations: multi-season models reveal indirect species interactions in the Canadian Arctic tundra |
title_sort |
seasonal food webs with migrations: multi-season models reveal indirect species interactions in the canadian arctic tundra |
publisher |
The Royal Society |
publishDate |
2020 |
url |
http://dx.doi.org/10.1098/rsta.2019.0354 https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2019.0354 https://royalsocietypublishing.org/doi/full-xml/10.1098/rsta.2019.0354 |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean Climate change Global warming Tundra |
genre_facet |
Arctic Arctic Ocean Climate change Global warming Tundra |
op_source |
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences volume 378, issue 2181, page 20190354 ISSN 1364-503X 1471-2962 |
op_rights |
https://royalsociety.org/-/media/journals/author/Licence-to-Publish-20062019-final.pdf https://royalsociety.org/journals/ethics-policies/data-sharing-mining/ |
op_doi |
https://doi.org/10.1098/rsta.2019.0354 |
container_title |
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences |
container_volume |
378 |
container_issue |
2181 |
container_start_page |
20190354 |
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1800745380647796736 |