Evidence map›Paper›PMID 32862818›Full record

ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2020

Seasonal food webs with migrations: multi-season models reveal indirect species interactions in the Canadian Arctic tundra.

Chantal Hutchison, Frédéric Guichard, Pierre Legagneux, Gilles Gauthier, Joël Bêty, Dominique Berteaux, Dominique Fauteux, Dominique Gravel

Open access · bronzeAbstract read
In one paragraph

Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.4field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. The changing Arctic Ocean: consequences for biological communities, biogeochemical processes and ecosystem functioning.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 2 countries.

Chantal HutchisonDepartment of Biology, McGill University, Montréal, Canada.
Frédéric GuichardDepartment of Biology, McGill University, Montréal, Canada.
Pierre LegagneuxDépartement de Biologie et Centre d'Études Nordiques, Université Laval, Québéc City, Canada.
Gilles GauthierDépartement de Biologie et Centre d'Études Nordiques, Université Laval, Québéc City, Canada.
Joël BêtyDépartement de Biologie et Centre d'Études nordiques, Université du Québec à Rimouski, Rimouski, Canada.
Dominique BerteauxDépartement de Biologie et Centre d'Études nordiques, Université du Québec à Rimouski, Rimouski, Canada.
Dominique FauteuxDépartement de Biologie et Centre d'Études Nordiques, Université Laval, Québéc City, Canada.
Dominique GravelDépartement de Biologie, Université de Sherbrooke, Sherbrooke, Canada.
McGill University · CAUniversité du Québec à Rimouski · CACanadian Museum of Nature · CACentre National de la Recherche Scientifique · FRUniversité de Sherbrooke · CAUniversité Laval · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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'.

Indexed as

Animal MigrationFood ChainModels, BiologicalTundraAnimalsArctic RegionsArvicolinaeBiomassFoxesGeeseGlobal WarmingNunavutSeasonsStrigiformesanimal migrationArctic ecosystemscausalitymulti-season modelspecies interactionstundra

Identifiers

PMID32862818
PMCPMC7481661
OpenAlexW3082290194

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.