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Statements

Subject Item
n2:RIV%2F67179843%3A_____%2F11%3A00369488%21RIV12-AV0-67179843
rdf:type
skos:Concept n3:Vysledek
dcterms:description
The evolution of clinal variation has become a topic widely studied for invasive species. Most studies of this kind have found significant correlations between latitude and various plant traits, usually using univariate analytic methods. However, plants are composed of multiple, interacting traits, and it is this correlation among traits that can affect how quickly or even whether the populations of invasive plants adapt to their local climatic conditions. We used data from a common garden experiment to determine the possible formation of latitudinal clines in invasive North American populations of Lythrum salicaria L. (purple loosestrife) from the central portion of its invasive range. Analyses were conducted using the more common univariate approach (nested and oneway ANOVAs; linear regression) on individual plant traits (e.g., time to flowering, plant height, various mass measures, and growth rate) and then a multivariate approach (principle components analysis followed by redundancy analysis). Significant among-population differences (P < 0.01) were noted when using both the nested and oneway ANOVAs, and multivariate techniques. However, there were no significant relationships between individual plants traits to latitude when using linear regressions, most likely as a result of the small number of populations used in the study (n = 4). On the contrary, the multivariate analyses showed a significant effect of latitude (P < 0.001) on the invasive populations, but this explained only 4% of the variance; latitude explained 8% of the variance when both invasive and native populations were analyzed. Because of the integrated nature of plant phenotypes, a multivariate approach should provide a clearer and deeper understanding of population responses to changing conditions than univariate techniques. The evolution of clinal variation has become a topic widely studied for invasive species. Most studies of this kind have found significant correlations between latitude and various plant traits, usually using univariate analytic methods. However, plants are composed of multiple, interacting traits, and it is this correlation among traits that can affect how quickly or even whether the populations of invasive plants adapt to their local climatic conditions. We used data from a common garden experiment to determine the possible formation of latitudinal clines in invasive North American populations of Lythrum salicaria L. (purple loosestrife) from the central portion of its invasive range. Analyses were conducted using the more common univariate approach (nested and oneway ANOVAs; linear regression) on individual plant traits (e.g., time to flowering, plant height, various mass measures, and growth rate) and then a multivariate approach (principle components analysis followed by redundancy analysis). Significant among-population differences (P < 0.01) were noted when using both the nested and oneway ANOVAs, and multivariate techniques. However, there were no significant relationships between individual plants traits to latitude when using linear regressions, most likely as a result of the small number of populations used in the study (n = 4). On the contrary, the multivariate analyses showed a significant effect of latitude (P < 0.001) on the invasive populations, but this explained only 4% of the variance; latitude explained 8% of the variance when both invasive and native populations were analyzed. Because of the integrated nature of plant phenotypes, a multivariate approach should provide a clearer and deeper understanding of population responses to changing conditions than univariate techniques.
dcterms:title
A comparison of univariate and multivariate methods for analyzing clinal variation in an invasive species A comparison of univariate and multivariate methods for analyzing clinal variation in an invasive species
skos:prefLabel
A comparison of univariate and multivariate methods for analyzing clinal variation in an invasive species A comparison of univariate and multivariate methods for analyzing clinal variation in an invasive species
skos:notation
RIV/67179843:_____/11:00369488!RIV12-AV0-67179843
n3:predkladatel
n4:ico%3A67179843
n6:aktivita
n18:P n18:Z
n6:aktivity
P(1P05ME787), Z(AV0Z60870520), Z(MSM6007665801)
n6:cisloPeriodika
1
n6:dodaniDat
n14:2012
n6:domaciTvurceVysledku
n12:9424652
n6:druhVysledku
n15:J
n6:duvernostUdaju
n19:S
n6:entitaPredkladatele
n20:predkladatel
n6:idSjednocenehoVysledku
183709
n6:idVysledku
RIV/67179843:_____/11:00369488
n6:jazykVysledku
n13:eng
n6:klicovaSlova
common garden; life history traits; local adaptation; principal components analysis; purple loosestrife; redundancy analysis
n6:klicoveSlovo
n7:life%20history%20traits n7:common%20garden n7:principal%20components%20analysis n7:redundancy%20analysis n7:purple%20loosestrife n7:local%20adaptation
n6:kodStatuVydavatele
NL - Nizozemsko
n6:kontrolniKodProRIV
[348F4F23985A]
n6:nazevZdroje
Hydrobiologia
n6:obor
n17:EH
n6:pocetDomacichTvurcuVysledku
1
n6:pocetTvurcuVysledku
4
n6:projekt
n10:1P05ME787
n6:rokUplatneniVysledku
n14:2011
n6:svazekPeriodika
674
n6:tvurceVysledku
Edwards-Jonášová, Magda Edwards, K. R. Květ, J. Bastlová, D.
n6:wos
000293163900009
n6:zamer
n8:AV0Z60870520 n8:MSM6007665801
s:issn
0018-8158
s:numberOfPages
13
n11:doi
10.1007/s10750-011-0732-2