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Optimal Migration Strategies in Bats

Hedenström, Anders LU (2009) In Journal of Mammalogy 90(6). p.1298-1309
Abstract
This paper introduces some theoretical concepts based on optimality theory that may be applied to bat migration. Most predictions are based on flight mechanics and potential flight range. Optimal behavior will depend on the relevant immediate currency, such as safety, time, or energy. Predictions concern optimal flight speeds, stopover duration, fuel load at departure, and the adaptive use of winds. I also consider a criterion for fuel management when bats are migrating between summer and hibernation sites. The overall migration speed is predicted to be 46 km/day for a small (10-g) bat, and banding recoveries in Nathusius's bat (Pipistrellus nathusii) showed a mean speed of 47 km/day. The timing of migration in bats that minimizes the time... (More)
This paper introduces some theoretical concepts based on optimality theory that may be applied to bat migration. Most predictions are based on flight mechanics and potential flight range. Optimal behavior will depend on the relevant immediate currency, such as safety, time, or energy. Predictions concern optimal flight speeds, stopover duration, fuel load at departure, and the adaptive use of winds. I also consider a criterion for fuel management when bats are migrating between summer and hibernation sites. The overall migration speed is predicted to be 46 km/day for a small (10-g) bat, and banding recoveries in Nathusius's bat (Pipistrellus nathusii) showed a mean speed of 47 km/day. The timing of migration in bats that minimizes the time spent in migration is considered a result of the trade-off between seasonally increased length of the night (decreased in spring) and reduction of aerial insect abundance. Most predictions remains to be tested; the theoretical framework herein offers a point of departure when designing new field or laboratory studies of bat migration. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
speed, migration, hibernation, fuel load, flight mechanics, flight speed, migration theory
in
Journal of Mammalogy
volume
90
issue
6
pages
1298 - 1309
publisher
Oxford University Press
external identifiers
  • wos:000273080600003
  • scopus:73549109185
ISSN
0022-2372
language
English
LU publication?
yes
id
3d6d612e-1a10-4dff-ad2f-25d61b5af0df (old id 1531968)
date added to LUP
2016-04-01 13:37:36
date last changed
2022-04-21 22:42:28
@article{3d6d612e-1a10-4dff-ad2f-25d61b5af0df,
  abstract     = {{This paper introduces some theoretical concepts based on optimality theory that may be applied to bat migration. Most predictions are based on flight mechanics and potential flight range. Optimal behavior will depend on the relevant immediate currency, such as safety, time, or energy. Predictions concern optimal flight speeds, stopover duration, fuel load at departure, and the adaptive use of winds. I also consider a criterion for fuel management when bats are migrating between summer and hibernation sites. The overall migration speed is predicted to be 46 km/day for a small (10-g) bat, and banding recoveries in Nathusius's bat (Pipistrellus nathusii) showed a mean speed of 47 km/day. The timing of migration in bats that minimizes the time spent in migration is considered a result of the trade-off between seasonally increased length of the night (decreased in spring) and reduction of aerial insect abundance. Most predictions remains to be tested; the theoretical framework herein offers a point of departure when designing new field or laboratory studies of bat migration.}},
  author       = {{Hedenström, Anders}},
  issn         = {{0022-2372}},
  keywords     = {{speed; migration; hibernation; fuel load; flight mechanics; flight speed; migration theory}},
  language     = {{eng}},
  number       = {{6}},
  pages        = {{1298--1309}},
  publisher    = {{Oxford University Press}},
  series       = {{Journal of Mammalogy}},
  title        = {{Optimal Migration Strategies in Bats}},
  volume       = {{90}},
  year         = {{2009}},
}