Ecological interactions shape the evolution of flower colour in communities across a temperate biodiversity hotspot
Cite this dataset
Skeels, Alexander; Dinnage, Russell; Medina, Iliana; Cardillo, Marcel (2021). Ecological interactions shape the evolution of flower colour in communities across a temperate biodiversity hotspot [Dataset]. Dryad. https://doi.org/10.5061/dryad.tmpg4f4z4
Abstract
Methods
"Hakea_trait_data.csv" & "Hakea_flowering_times_overlap_matrix.csv" = Morphological and Phenological data from the Flora of Australia vol. 17B and Skeels, A., and M. Cardillo. 2019a. Equilibrium and non-equilibrium phases in the radiation of Hakea and the drivers of diversity in Mediterranean-Type Ecosystems. Evolution 73:1392–1410.
"Hakea_phylogeny.newick" = Phylogenetic data from Cardillo, M., P. H. Weston, Z. K. M. Reynolds, P. M. Olde, A. R. Mast, E. M. Lemmon, A. R. Lemmon, and L. Bromham. 2017. The phylogeny and biogeography of Hakea (Proteaceae) reveals the role of biome shifts in a continental plant radiation. Evolution 71:1928–1943.
"Hakea_presence_absence_matrix" & "site_coordinates.csv" = Community survey data from Gibson, N., G. Keighery, M. Lyons, and A. Webb. 2004. Terrestrial flora and vegetation of the Western Australian wheatbelt. Rec. West. Aust. Museum Suppl. 67:139–189.
"RGB_histogram_for_colordistance.rds" & "Hakea_RGB_measurements" = Flower colour data from this study and methods explained in the main text and Appendix S1.
"Hakea_macroevolutionary_rates_by_branch.csv" = ClaDS and RRPhylo analyses, methods in main text.
"FD_and_mpd_on_null_models" folder = simulated communities under two different null models (independant swap and dispersal null models) methods in main text.
Usage notes
Dataset contains all data required to replicate the analyses. The data comes from a variety of sources outlined below and the flower colour data was collected for this study. Data are either .csv, .newick (phylogeny), or .rds and can be read in R following the included script provided with read.csv(), read.tree(), or readRDS(). Please contact Alexander Skeels (alexander.skeels@gmail.com) for any questions about the data or R code.
Data sources and methods:
"Hakea_trait_data.csv" & "Hakea_flowering_times_overlap_matrix.csv" = Morphological and Phenological data from the Flora of Australia vol. 17B and Skeels, A., and M. Cardillo. 2019a. Equilibrium and non-equilibrium phases in the radiation of Hakea and the drivers of diversity in Mediterranean-Type Ecosystems. Evolution 73:1392–1410.
"Hakea_phylogeny.newick" = Phylogenetic data from Cardillo, M., P. H. Weston, Z. K. M. Reynolds, P. M. Olde, A. R. Mast, E. M. Lemmon, A. R. Lemmon, and L. Bromham. 2017. The phylogeny and biogeography of Hakea (Proteaceae) reveals the role of biome shifts in a continental plant radiation. Evolution 71:1928–1943. Pruned to contain the species found in the Southwest survey, with three species without molecular data added based on taxonomy as polytomies at the node of the most recent common ancestor based on intra-generic classifications.
"Hakea_presence_absence_matrix" & "site_coordinates.csv" = Community survey data from Gibson, N., G. Keighery, M. Lyons, and A. Webb. 2004. Terrestrial flora and vegetation of the Western Australian wheatbelt. Rec. West. Aust. Museum Suppl. 67:139–189. Presence/Absence data of 52 Hakea species + site coordinates necessary for determining distances between sites.
"RGB_histogram_for_colordistance.rds" & "Hakea_RGB_measurements.csv" = Flower colour data from this study collected in May-September 2019, and methods explained in the main text and Appendix S1. Histogram object is used to create Earth Mover's colour distance matrices and is based on the raw data - "Hakea_RGB_measurements"
"Hakea_macroevolutionary_rates_by_branch.csv" = ClaDS and RRPhylo analyses, methods in main text. This data was used to fit APGLMM models in the phyr package.
"FD_and_mpd_on_null_models" folder = simulated communities under two different null models (independant swap and dispersal null models) methods in main text. MPD/FRic were calculated on these matrices to get a distribution to compare the empirical observations with.