caa a22 4500 606228268 CHVBK 20210128101202.0 cr unu---uuuuu 210128e20150201xx s 000 0 eng 10.1007/s10641-014-0306-z doi (NATIONALLICENCE)springer-10.1007/s10641-014-0306-z Morphology predicting ecology: incorporating new methodological and analytical approaches [Elektronische Daten] [Nathan Franssen, Christopher Goodchild, Donald Shepard] Associations between the morphology of animals and their ecology have contributed to our understanding of phenotypic diversity by helping to relate form and function. Most early studies on fishes used traditional measurements of linear distances on the body or fins to quantify morphological variation among taxa. More recently, geometric morphometric analyses have gained popularity for assessing phenotypic shape variation. Along with new methodologies for quantifying morphological variation, researchers have become increasingly aware of the influence of phylogeny on morphological and ecological traits. Our study, which spanned seven cyprinid genera, assessed the abilities of traditional and geometric morphometric approaches to characterize ecologically relevant morphological variation. Furthermore, we compared morphometric approaches employing two analyses (partial Mantel test and Phylogenetic Canonical Correlation Analysis (PCCA)) that test for correlations among data sets while explicitly accounting for phylogenetic relationships. Traditional morphology and body shape showed similar correlations with habitat use in all analyses. In contrast, only traditional morphology was correlated with diet; however, this was only revealed by the PCCA. Our findings indicated the taxonomic span of species under study and the statistical treatment of data are important factors to consider when choosing between traditional or geometric morphometric approaches. In addition, a better understanding of phylogenetic relationships will improve our ability to establish associations between morphology and ecology. Springer Science+Business Media Dordrecht, 2014 Cyprinidae nationallicence Ecomorphology nationallicence Geometric morphometrics nationallicence Phylogenetic canonical correlation analysis nationallicence phytools nationallicence Franssen Nathan Department of Biology, University of Oklahoma, 73019, Norman, OK, USA aut Goodchild Christopher Department of Biology, University of Oklahoma, 73019, Norman, OK, USA aut Shepard Donald Department of Biology, University of Central Arkansas, 72035, Conway, AR, USA aut Environmental Biology of Fishes Springer Netherlands 98/2(2015-02-01), 713-724 0378-1909 98:2<713 2015 98 10641 https://doi.org/10.1007/s10641-014-0306-z text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10641-014-0306-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Franssen Nathan Department of Biology, University of Oklahoma, 73019, Norman, OK, USA aut NATIONALLICENCE 700 1- Goodchild Christopher Department of Biology, University of Oklahoma, 73019, Norman, OK, USA aut NATIONALLICENCE 700 1- Shepard Donald Department of Biology, University of Central Arkansas, 72035, Conway, AR, USA aut NATIONALLICENCE 773 0- Environmental Biology of Fishes Springer Netherlands 98/2(2015-02-01), 713-724 0378-1909 98:2<713 2015 98 10641