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Information and its use by animals in evolutionary ecology

Dall, SRX ; Giraldeau, LA ; Olsson, Ola LU orcid ; McNamara, JM and Stephens, DW (2005) In Trends in Ecology & Evolution 20(4). p.187-193
Abstract
Information is a crucial currency for animals from both a behavioural and evolutionary perspective. Adaptive behaviour relies upon accurate estimation of relevant ecological parameters; the better informed an individual, the better it can develop and adjust its behaviour to meet the demands of a variable world. Here, we focus on the burgeoning interest in the impact of ecological uncertainty on adaptation, and the means by which it can be reduced by gathering information, from both 'passive' and 'responsive' sources. Our overview demonstrates the value of adopting an explicitly informational approach, and highlights the components that one needs to develop useful approaches to studying information use by animals. We propose a quantitative... (More)
Information is a crucial currency for animals from both a behavioural and evolutionary perspective. Adaptive behaviour relies upon accurate estimation of relevant ecological parameters; the better informed an individual, the better it can develop and adjust its behaviour to meet the demands of a variable world. Here, we focus on the burgeoning interest in the impact of ecological uncertainty on adaptation, and the means by which it can be reduced by gathering information, from both 'passive' and 'responsive' sources. Our overview demonstrates the value of adopting an explicitly informational approach, and highlights the components that one needs to develop useful approaches to studying information use by animals. We propose a quantitative framework, based on statistical decision theory, for analysing animal information use in evolutionary ecology. Our purpose is to promote an integrative approach to studying information use by animals, which is itself integral to adaptive animal behaviour and organismal biology. (Less)
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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Trends in Ecology & Evolution
volume
20
issue
4
pages
187 - 193
publisher
Elsevier
external identifiers
  • wos:000228285800009
  • scopus:14944363098
ISSN
1872-8383
DOI
10.1016/j.tree.2005.01.010
language
English
LU publication?
yes
id
a11011a6-2754-4605-905c-083b54bdc1d6 (old id 145188)
date added to LUP
2016-04-01 12:25:53
date last changed
2024-05-08 14:30:26
@article{a11011a6-2754-4605-905c-083b54bdc1d6,
  abstract     = {{Information is a crucial currency for animals from both a behavioural and evolutionary perspective. Adaptive behaviour relies upon accurate estimation of relevant ecological parameters; the better informed an individual, the better it can develop and adjust its behaviour to meet the demands of a variable world. Here, we focus on the burgeoning interest in the impact of ecological uncertainty on adaptation, and the means by which it can be reduced by gathering information, from both 'passive' and 'responsive' sources. Our overview demonstrates the value of adopting an explicitly informational approach, and highlights the components that one needs to develop useful approaches to studying information use by animals. We propose a quantitative framework, based on statistical decision theory, for analysing animal information use in evolutionary ecology. Our purpose is to promote an integrative approach to studying information use by animals, which is itself integral to adaptive animal behaviour and organismal biology.}},
  author       = {{Dall, SRX and Giraldeau, LA and Olsson, Ola and McNamara, JM and Stephens, DW}},
  issn         = {{1872-8383}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{187--193}},
  publisher    = {{Elsevier}},
  series       = {{Trends in Ecology & Evolution}},
  title        = {{Information and its use by animals in evolutionary ecology}},
  url          = {{http://dx.doi.org/10.1016/j.tree.2005.01.010}},
  doi          = {{10.1016/j.tree.2005.01.010}},
  volume       = {{20}},
  year         = {{2005}},
}