Journal article
Seasonal density-dependence can select for partial migrants in migratory species
- Abstract:
- Whether, and which, individuals migrate or not is rapidly changing in many populations. Exactly how and why environmental change alters migration propensity is not well understood. We constructed densitydependent structured population models to explore conditions for the coexistence of migrants and residents. Our theoretical models were motivated by empirical data identified via a systematic literature review. We find that the equilibrium density in the season with the strongest density-dependence of a strategy predicts whether the strategy will become dominant within the population. This equilibrium density represents strategy fitness in a seasonal environment and can be used to examine selection on migratory behaviour. Whether partial migration can be maintained within a population depends on where in the annual cycle density-dependence operates. Diversified bet-hedging, where parents produce a mix of migrants and residents, also maintains partial migration. Our study disentangles density-dependent and densityindependent rates in a population with seasonal structure, potentially providing routes to explain the rapid change in migration strategies observed in many populations.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 8.9MB, Terms of use)
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- Publisher copy:
- 10.1002/ecm.70009
Authors
- Publisher:
- Wiley
- Journal:
- Ecological Monographs More from this journal
- Volume:
- 95
- Issue:
- 1
- Article number:
- e70009
- Publication date:
- 2025-04-07
- Acceptance date:
- 2025-01-23
- DOI:
- EISSN:
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1557-7015
- ISSN:
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0012-9615
- Language:
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English
- Keywords:
- Pubs id:
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2080427
- Local pid:
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pubs:2080427
- Deposit date:
-
2025-01-25
Terms of use
- Copyright holder:
- Liu et al.
- Copyright date:
- 2025
- Rights statement:
- © 2025 The Author(s). Ecological Monographs published by Wiley Periodicals LLC on behalf of The Ecological Society of America. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
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