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Optimal bird migration revisited

Alerstam, Thomas LU (2011) In Journal of Ornithology 152. p.5-23
Abstract
Using optimality perspectives is now regarded as an essential way of analysing and understanding adaptations and behavioural strategies in bird migration. Optimization analyses in bird migration research have diversified greatly during the two recent decades with respect to methods used as well as to topics addressed. Methods range from simple analytical and geometric models to more complex modeling by stochastic dynamic programming, annual routine models and multiobjective optimization. Also, game theory and simulation by selection algorithms have been used. A wide range of aspects of bird migration have been analyzed including flight, fuel deposition, predation risk, stopover site use, transition to breeding, routes and detours, daily... (More)
Using optimality perspectives is now regarded as an essential way of analysing and understanding adaptations and behavioural strategies in bird migration. Optimization analyses in bird migration research have diversified greatly during the two recent decades with respect to methods used as well as to topics addressed. Methods range from simple analytical and geometric models to more complex modeling by stochastic dynamic programming, annual routine models and multiobjective optimization. Also, game theory and simulation by selection algorithms have been used. A wide range of aspects of bird migration have been analyzed including flight, fuel deposition, predation risk, stopover site use, transition to breeding, routes and detours, daily timing, fly-and-forage migration, wind selectivity and wind drift, phenotypic flexibility, arrival time and annual molt and migration schedules. Optimization analyses have proven to be particularly important for defining problems and specifying questions and predictions about the consequences of minimization of energy, time and predation risk in bird migration. Optimization analyses will probably also be important in the future, when predictions about bird migration strategies can be tested by much new data obtained by modern tracking techniques and when the importance of new trade-offs, associated with, e.g., digestive physiology, metabolism, immunocompetence and disease, need to be assessed in bird migration research. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Flight, Stopover, Wind, Routes, Timing
in
Journal of Ornithology
volume
152
pages
5 - 23
publisher
Springer
external identifiers
  • wos:000293409700002
  • scopus:84885836588
ISSN
2193-7206
DOI
10.1007/s10336-011-0694-1
language
English
LU publication?
yes
id
71c9a1cb-e443-4151-9e01-ed07dcb2c4e6 (old id 2161936)
date added to LUP
2016-04-01 14:30:52
date last changed
2022-04-22 03:35:33
@article{71c9a1cb-e443-4151-9e01-ed07dcb2c4e6,
  abstract     = {{Using optimality perspectives is now regarded as an essential way of analysing and understanding adaptations and behavioural strategies in bird migration. Optimization analyses in bird migration research have diversified greatly during the two recent decades with respect to methods used as well as to topics addressed. Methods range from simple analytical and geometric models to more complex modeling by stochastic dynamic programming, annual routine models and multiobjective optimization. Also, game theory and simulation by selection algorithms have been used. A wide range of aspects of bird migration have been analyzed including flight, fuel deposition, predation risk, stopover site use, transition to breeding, routes and detours, daily timing, fly-and-forage migration, wind selectivity and wind drift, phenotypic flexibility, arrival time and annual molt and migration schedules. Optimization analyses have proven to be particularly important for defining problems and specifying questions and predictions about the consequences of minimization of energy, time and predation risk in bird migration. Optimization analyses will probably also be important in the future, when predictions about bird migration strategies can be tested by much new data obtained by modern tracking techniques and when the importance of new trade-offs, associated with, e.g., digestive physiology, metabolism, immunocompetence and disease, need to be assessed in bird migration research.}},
  author       = {{Alerstam, Thomas}},
  issn         = {{2193-7206}},
  keywords     = {{Flight; Stopover; Wind; Routes; Timing}},
  language     = {{eng}},
  pages        = {{5--23}},
  publisher    = {{Springer}},
  series       = {{Journal of Ornithology}},
  title        = {{Optimal bird migration revisited}},
  url          = {{http://dx.doi.org/10.1007/s10336-011-0694-1}},
  doi          = {{10.1007/s10336-011-0694-1}},
  volume       = {{152}},
  year         = {{2011}},
}