Abstract

Migratory connectivity can have important consequences for individuals, populations and communities. We argue that most consequences not only depend onwhichsites are used but importantly also onwhenthese are used and suggest that the timing of migration is characterised by synchrony, phenology, and consistency. We illustrate the importance of these aspects of timing for shaping the consequences of migratory connectivity on individual fitness, population dynamics, gene flow and community dynamics using examples from throughout the animal kingdom.Exemplarily for one specific process that is shaped by migratory connectivity and the timing of migration – the transmission of parasites and the dynamics of diseases – we underpin our arguments with a dynamic epidemiological network model of a migratory population. Here, we quantitatively demonstrate that variations in migration phenology and synchrony yield disease dynamics that significantly differ from a time‐neglecting case.Extending the original definition of migratory connectivity into a spatio‐temporal concept can importantly contribute to understanding the links migratory animals make across the globe and the consequences these may have both for the dynamics of their populations and the communities they visit throughout their journeys.SynthesisMigratory connectivity quantifies the links migrant animals make across the globe and these can have manifold consequences – from individual fitness, population dynamics, gene flow to transmission of pathogens and parasites. We show through the use of empirical examples and a conceptual model that these consequences not only depend onwhichsites are used but importantly also onwhenthese are used. Therefore, we specify three dimensions of migration timing – phenology, synchrony and consistency, which describe the timing of migration 1) relative to development of key resources; 2) relative to the migration of other individuals; and 3) relative to previous migration events. Each of these dimensions can alter the consequences, but typically through different mechanisms.

Highlights

  • For one specific process that is shaped by migratory connectivity and the timing of migration – the transmission of parasites and the dynamics of diseases – we underpin our arguments with a dynamic epidemiological network model of a migratory population

  • The consequences of migratory connectivity broadly include those on individual fitness and population dynamics, gene flow and genetic mixing, and community dynamics and ecosystem function

  • Migratory connectivity is an important concept for the links migrants make between different parts of the world; its implications are far-reaching and can be immense: the dynamics, conservation and management of migratory populations, the effects of potential habitat and climatic changes (Bauer et al 2008), structure and dynamics of separated communities (Bauer and Hoye 2014), and the spread of parasites, including those with zoonotic potential (Altizer et al 2011)

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Summary

Timing is crucial for consequences of migratory connectivity

Migratory connectivity can have important consequences for individuals, populations and communities. We illustrate the importance of these aspects of timing for shaping the consequences of migratory connectivity on individual fitness, population dynamics, gene flow and community dynamics using examples from throughout the animal kingdom.­. Migratory connectivity quantifies the links migrant animals make across the globe and these can have manifold consequences – from individual fitness, population dynamics, gene flow to transmission of pathogens and parasites. Billions of animals migrate across the globe every year and it is widely acknowledged that the use of different sites has consequences for migrant fitness and the dynamics of their populations as well as for the communities visited (Webster and Marra 2005, Marra et al 2010, Bauer and Hoye 2014).

Migratory population Resource
Individual fitness and population dynamics
Migration phenology
Community and ecosystem
Trophic effects
Gene flow and genetic mixing
Community dynamics and ecosystem functions
Transmission of parasites and disease dynamics
Results
Conclusions
Standard deviation around

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