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A physiological perspective on the ecology and evolution of partial migration

Author:
  • Arne Hegemann
  • Adam M. Fudickar
  • Jan Åke Nilsson
Publishing year: 2019-03-19
Language: English
Pages: 893-905
Publication/Series: Journal of Ornithology
Volume: 160
Issue: 3
Document type: Journal article review
Publisher: Springer

Abstract english

Billions of animals migrate between breeding and non-breeding areas worldwide. Partial migration, where both migrants and residents coexist within a population, occurs in most animal taxa, including fish, insects, birds and mammals. Partial migration has been hypothesised to be the most common form of migration and to be an evolutionary precursor to full migration. Despite extensive theoretical models about partial migration and its potential to provide insight into the ecology and evolution of migration, the physiological mechanisms that shape partial migration remain poorly understood. Here, we review current knowledge on how physiological processes mediate the causes and consequences of avian partial migration, and how they may help us understand why some individuals migrate and others remain resident. When information from birds is missing, we highlight examples from other taxa. In particular, we focus on temperature regulation, metabolic rate, immune function, oxidative stress, telomeres, and neuroendocrine and endocrine systems. We argue that these traits provide physiological pathways that regulate the ecological and behavioural causes and/or consequences of partial migration, and may provide insight into the mechanistic basis of wintering decisions. They may, thus, also help us to explain why individuals switch strategies among winters. We also highlight current gaps in our knowledge and suggest promising future research opportunities. A deeper understanding of the physiological mechanisms mediating the causes and consequences of partial migration will not only provide novel insights into the ecology and evolution of migration in general, but will also be vital to precisely modelling population trends and predicting range shifts under global change.

Keywords

  • Evolutionary Biology
  • Avian life history
  • Ecoimmunology
  • Ecophysiology
  • Hormones
  • Metabolism
  • Movement ecology

Other

Published
  • ISSN: 2193-7192