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ANALYSIS OF CHARACTER DIVERGENCE ALONG ENVIRONMENTAL GRADIENTS AND OTHER COVARIATES

Character displacement is typically identified by comparing phenotypic differences in sympatry and allopatry. Recently, however, Goldberg and Lande (2006) pointed out that when phenotypic characters vary along an environmental gradient, the standard approach may fail to identify sympatric character... Full description

Journal Title: Evolution 2007-03, Vol.61 (3), p.510-515
Main Author: Adams, Dean C
Other Authors: Collyer, Michael L
Format: Electronic Article Electronic Article
Language: English
Subjects:
Publisher: Malden, USA: Blackwell Science Inc
ID: ISSN: 0014-3820
Link: https://www.ncbi.nlm.nih.gov/pubmed/17348916
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title: ANALYSIS OF CHARACTER DIVERGENCE ALONG ENVIRONMENTAL GRADIENTS AND OTHER COVARIATES
format: Article
creator:
  • Adams, Dean C
  • Collyer, Michael L
subjects:
  • Adaptation, Physiological
  • Allopatric species
  • Biological diversity
  • Character displacement
  • Communities
  • Divergent evolution
  • Ecological competition
  • Ecological genetics
  • Environment
  • environmental gradient
  • Evolutionary biology
  • generalized linear model
  • Generalized linear models
  • Genetic diversity
  • Genotype & phenotype
  • Linear Models
  • Models, Biological
  • Phenotype
  • Phenotypes
  • phenotypic change
  • Population mean
  • Random allocation
  • residual randomization
  • Simulation
  • Sympatric species
  • Sympatry
ispartof: Evolution, 2007-03, Vol.61 (3), p.510-515
description: Character displacement is typically identified by comparing phenotypic differences in sympatry and allopatry. Recently, however, Goldberg and Lande (2006) pointed out that when phenotypic characters vary along an environmental gradient, the standard approach may fail to identify sympatric character divergence. Here we present a general analytical procedure for identifying sympatric character divergence while accounting for phenotypic changes that covary with environmental variables. Our approach uses residual randomization from a generalized linear model, and allows the statistical comparison of sympatric phenotypic divergence to allopatric phenotypic divergence while accounting for phenotypic variation along a gradient. Through simulation we demonstrate that our approach correctly identifies patterns of sympatric character divergence when they are present, and does not identify such patterns when they are not. Our analytical approach complements and extends the suggestions of Goldberg and Lande (2006), by allowing a full statistical assessment of the varied patterns of character displacement along environmental gradients, or while accounting for other covariates and sources of variation.
language: eng
source:
identifier: ISSN: 0014-3820
fulltext: no_fulltext
issn:
  • 0014-3820
  • 1558-5646
url: Link


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descriptionCharacter displacement is typically identified by comparing phenotypic differences in sympatry and allopatry. Recently, however, Goldberg and Lande (2006) pointed out that when phenotypic characters vary along an environmental gradient, the standard approach may fail to identify sympatric character divergence. Here we present a general analytical procedure for identifying sympatric character divergence while accounting for phenotypic changes that covary with environmental variables. Our approach uses residual randomization from a generalized linear model, and allows the statistical comparison of sympatric phenotypic divergence to allopatric phenotypic divergence while accounting for phenotypic variation along a gradient. Through simulation we demonstrate that our approach correctly identifies patterns of sympatric character divergence when they are present, and does not identify such patterns when they are not. Our analytical approach complements and extends the suggestions of Goldberg and Lande (2006), by allowing a full statistical assessment of the varied patterns of character displacement along environmental gradients, or while accounting for other covariates and sources of variation.
editionReceived October 13, 2006Accepted November 7, 2006
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subjectAdaptation, Physiological ; Allopatric species ; Biological diversity ; Character displacement ; Communities ; Divergent evolution ; Ecological competition ; Ecological genetics ; Environment ; environmental gradient ; Evolutionary biology ; generalized linear model ; Generalized linear models ; Genetic diversity ; Genotype & phenotype ; Linear Models ; Models, Biological ; Phenotype ; Phenotypes ; phenotypic change ; Population mean ; Random allocation ; residual randomization ; Simulation ; Sympatric species ; Sympatry
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descriptionCharacter displacement is typically identified by comparing phenotypic differences in sympatry and allopatry. Recently, however, Goldberg and Lande (2006) pointed out that when phenotypic characters vary along an environmental gradient, the standard approach may fail to identify sympatric character divergence. Here we present a general analytical procedure for identifying sympatric character divergence while accounting for phenotypic changes that covary with environmental variables. Our approach uses residual randomization from a generalized linear model, and allows the statistical comparison of sympatric phenotypic divergence to allopatric phenotypic divergence while accounting for phenotypic variation along a gradient. Through simulation we demonstrate that our approach correctly identifies patterns of sympatric character divergence when they are present, and does not identify such patterns when they are not. Our analytical approach complements and extends the suggestions of Goldberg and Lande (2006), by allowing a full statistical assessment of the varied patterns of character displacement along environmental gradients, or while accounting for other covariates and sources of variation.
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abstractCharacter displacement is typically identified by comparing phenotypic differences in sympatry and allopatry. Recently, however, Goldberg and Lande (2006) pointed out that when phenotypic characters vary along an environmental gradient, the standard approach may fail to identify sympatric character divergence. Here we present a general analytical procedure for identifying sympatric character divergence while accounting for phenotypic changes that covary with environmental variables. Our approach uses residual randomization from a generalized linear model, and allows the statistical comparison of sympatric phenotypic divergence to allopatric phenotypic divergence while accounting for phenotypic variation along a gradient. Through simulation we demonstrate that our approach correctly identifies patterns of sympatric character divergence when they are present, and does not identify such patterns when they are not. Our analytical approach complements and extends the suggestions of Goldberg and Lande (2006), by allowing a full statistical assessment of the varied patterns of character displacement along environmental gradients, or while accounting for other covariates and sources of variation.
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editionReceived October 13, 2006Accepted November 7, 2006
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