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PMID: 25534247 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Applying developmental threshold models to evolutionary ecology.

Trends in ecology & evolution ·Vol. 30 ·No. 2 ·2015-02-00 ·Pages 66-77

Donohue K, Burghardt LT, Runcie D, Bradford KJ, Schmitt J

Abstract

Process-based models of development predict developmental rates and phenology as a function of physiological responses to multiple dynamic environmental factors. These models can be adapted to analyze diverse processes in evolutionary ecology. By linking models across life stages, they can predict life cycles and generation times. By incorporating fitness, they can identify environmental and physiological factors that limit species distributions. By incorporating population variance, they can investigate mechanisms of intraspecific variation or synchronization. By incorporating genetics, they can predict genotype-specific phenology under diverse climatic scenarios and examine causes and consequences of pleiotropy across life stages. With further development, they have the potential to predict genotype-specific ranges and identify key genes involved in determining phenology and fitness in variable and changing environments.

Keywords
environmental change life cycle phenology population-based models process-based models range limits reaction norm
MeSH Terms
Biological Evolution Climate Ecosystem Life Cycle Stages Models, Biological Seasons Time Factors
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Donohue Kathleen
Duke University, Department of Biology, Box 90338, Durham, NC 27708, USA. Electronic address: k.donohue@duke.edu.
Burghardt Liana T
Duke University, Department of Biology, Box 90338, Durham, NC 27708, USA. Electronic address: liana.burghardt@gmail.com.
Runcie Daniel
Department of Evolution and Ecology, University of California, Davis, CA 95616, USA.
Bradford Kent J
Department of Plant Sciences, University of California, Davis, CA 95616, USA.
Schmitt Johanna
Department of Evolution and Ecology, University of California, Davis, CA 95616, USA.
Article Info
Journal
Trends in ecology & evolution
Abbr.
Trends Ecol Evol
ISSN
1872-8383
Published
2015-02-00
Epub
2014-00-17
Pages
66-77
Language
English
Region
England
NLM ID
8805125
Subset
IM
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