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Code and data from: A unified evolutionary framework for understanding parasite infection and host migratory behaviour

Authors: Shaw, Allison K; Levet, Marie; Binning, Sandra A;

Code and data from: A unified evolutionary framework for understanding parasite infection and host migratory behaviour

Abstract

This contains model code and data from the paper titled "A unified evolutionary framework for understanding parasite infection and host migratory behaviour" By: Allison K. Shaw, Marie Levet, Sandra A. Binning Published in: Ecology Letters Abstract: Animal migration impacts organismal health and parasite transmission: migrants are simultaneously exposed to parasites and able to reduce infection for both individuals and populations. However, these dynamics are difficult to study; empirical studies reveal disparate results while existing theory makes assumptions that simplify natural complexity. Here, we systematically review empirical studies of migration and infection across taxa, highlighting key gaps in our understanding. Next, we develop a unified evolutionary framework incorporating different selective pressures of parasite-migration interactions while accounting for ecological complexity that goes beyond previous theory. Our framework generates diverse migration-infection patterns paralleling those seen in empirical systems, including partial and differential migration. Finally, we generate predictions about which mechanisms dominate which empirical systems to guide future studies. Our framework provides an overarching understanding of selective pressures shaping migration patterns in the context of animal health and disease, which is critical for predicting how environmental change may threaten migration.

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Keywords

infection intensity, differential migration, migration distance, migration stopover, indirect transmission, migratory allopatry, migratory exposure, animal movement, pathogen

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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