Data from: Periodic environmental disturbance drives repeated ecomorphological diversification in an adaptive radiation of Antarctic fishes ...

• Main Authors: Parker, Elyse, Zapfe, Katerina L., Yadav, Jagriti, Frédérich, Bruno, Jones, Christopher D., Economo, Evan P., Federman, Sarah, Near, Thomas J., Dornburg, Alex
• Format: Dataset
• Language: English
• Published: Dryad 2021
• Subjects: Notothenioidei; morphospace disparity; FOS Biological sciences; Antarc*; Antarctic; Southern Ocean
• Online Access: https://dx.doi.org/10.5061/dryad.bk3j9kdbg; https://datadryad.org/stash/dataset/doi:10.5061/dryad.bk3j9kdbg

The ecological theory of adaptive radiation has profoundly shaped our conceptualization of the rules that govern diversification. However, while many radiations follow classic early burst patterns of diversification as they fill ecological space, the longer-term fates of these radiations depend on many factors, such as climatic stability. In systems with periodic disturbances, species-rich clades can contain nested adaptive radiations of subclades with their own distinct diversification histories, and how adaptive radiation theory applies in these cases is less clear. Here, we investigated patterns of ecological and phenotypic diversification within two iterative adaptive radiations of cryonotothenioid fishes in Antarctica’s Southern Ocean: crocodile icefishes and notoperches. For both clades, we observe evidence of repeated diversification into disparate regions of trait space between closely related taxa and into overlapping regions of trait space between distantly related taxa. We additionally find little ... : Descriptions of code scripts: procD-pgls.R R script used to test for correlations among Procrustes body shape coordinates and major axes of ecological disparity using phylogenetic generalized least squares (PGLS) regression. These analyses were performed using the procD.pgls function implemented in the R package geomorph (Baken et al. 2021; Adams et al. 2021). PGLS.R R script used to test for relationships among phenotypic (body size and PC axes 1-3 of body shape variation) and ecological (buoyancy, depth, and PC axes 1-3 of diet variation) variables using phylogenetic generalized least squares (PGLS) regression. These analyses were performed using the gls function implemented in the R package nlme (Pinheiro et al. 2017). DTT.R R script used to calculate relative subclade disparity through time (DTT; Harmon et al. 2003) in the traits of mean percentage buoyancy, mean depth, and maximum body size. These analyses were performed using the ddt function implemented in the R package geiger2 (Pennell et al. 2014). ...