# Data: Determinants of natal dispersal distances in North American birds --- ##Overview These data and code replicate the analyses presented in Chu & Claramunt (2023). Determinants of natal dispersal distances in North American birds. Ecology and Evolution. Data Data File 1: para_NA_birds.csv This file contains all parameters investigated to build natal dispersal distance models. Details on how each column of data was collected are outlined in the main article. This file contains 15 columns of data (listed below, followed by a description of the data in each column). Tree Name = scientific name for the species that matches those used in phylogenetic tree subsets from birdtree.org (Jetz et al. 2012). Dispersal Distance = the geometric mean of natal dispersal distance estimates in kilometers. WAR = mean wing’s aspect ratio. Aspect ratio could not be estimated from species with no available spread wing specimens at time of analyis. Cells for these species contain NA. HWI = mean hand-wing index from Sheard et al. (2020). LD = mean lift-to-drag ratio. Lift-to-drag ratioo could not be estimated from species with no available spread wing specimens at time of analyis. Cells for these species contain NA. Mass = mean body mass in grams. Diet = diet-based classification: c - carnivores, o - omnivores, h - herbivores, I - insectivores. Foraging behaviour = ordinal variable describing amount of flight required for foraging. 1 - surface foraging, 2 - tree foraging, 3 - sallying, 4 - aerial search, 5 - aerial capture. Habitat = categorical variable describing major habitat type preferred: WO - woodlands, WE - wetlands, O - open habitats, C - coasts. Population = total breeding population of the species in North America. Species with no population data from Rosenburg et al. (2019) or Partners in Flight (2020) are denoted with NA. Mig2 = categorical variable describing if the bird is resident in its entire range all year round (Resident) or is migratory in some or all of its range (Migrant). Mig = migration distance estimated as the distance between centroids of breeding and wintering ranges (in kilometers). Range = total area of entire north American breeding geographical range of the species (in squared-kilometers). YfBmean = mean number of years between banding and recovery in records used to calculate natal dispersal distances. Family = family-level classification. Data File 2: bigtree.nex This file contains a maximum clade credibility tree computed using TreeAnnotator (Bouckaert et al., 2014) from a sample of 1000 phylogenetic trees of the study species obtained from Birdtree.org (Jetz et al., 2012), using the Hackett et al. (2010) backbone topology. ##Code/Software Running the Analyses Part I: Phylogenetic Generalized Least Squares regression models In order to re-create the morphology model analyses presented in Chu and Claramunt (2023), open the R script, “DispersalModels.R” in R. This script requires the R packages: MuMIn, caper, dplyr, phytools, scales, and car available from CRAN (https://cran.r-project.org/) and a version of R that supports these packages (e.g., R v3.6 – 4.2.1). It also requires Data Files 1 and 2 from this repository. The data files should be placed in a local directory, and this directory should be set as the working directory for the R session. After this, the script can be run without any modification to replicate all data preparation and modeling from the Chu and Claramunt (2023) paper. Information on the purpose of each segment of code is provided within the R file itself. At time of analysis, R version 4.2.1 was used. Contact Please do not hesitate to contact Jonathan Chu, with any questions: jonathanjojo.chu@mail.utoronto.ca References Bouckaert, R., Heled, J., Kühnert, D., Vaughan, T., Wu, C-H., Xie, D., Suchard, A. M., Rambaut, A., & Drummond, A. J. (2014). BEAST 2: A software platform for Bayesian evolutionary analysis. PLoS Computational Biology 10(4): e1003537. https://doi.org/10.1371/journal.pcbi.1003537 Chu, J. J., and Claramunt, S. (2023). Determinants of natal dispersal distances in North American birds. Ecology and Evolution, Accepted Article. Hackett, S. J., Kimball, R. T., S. Reddy, R. C., Bowie, K., Braun, E. L., Braun, M. J., Chojnowski, J. L., Cox, W. A., Han, K.-L., Harshman, J., Huddleston, C. J., Marks, B. D., Miglia, K. J., Moore, W. S., Sheldon, F. H., Steadman, D. W., Witt, C. C., Yuri T. (2008). A phylogenomic study of birds reveals their evolutionary history. Science, 320, 1763-1768. https://doi.org/1010.1126/science.1157704 Jetz, W., Thomas, G. H., Hartmann, K., & Mooers, A. O. (2012). The global diversity of birds in space and time. Nature, 491, 444–448. https://doi.org/10.1038/nature11631 Partners in Flight. 2020. Population Estimates Database, version 3.1. Available at http://pif.birdconservancy.org/PopEstimates. Accessed on . Rosenburg, K. V., Dokter, A. M., Blancher, P. J., Sauer, J. R., Smith, A. C., Smith, P. A., Stanton, J. C., Panjabi, A., Helft, L., Parr, M., and Marra, P. P. (2019). Decline of the North American avifauna. Science, 366(6461), 120-124. https://doi.org/10.1126/science.aaw1313 Sheard, C., Neate-Clegg, M. H. C., Alioravainen, N., Jones, S. E. I., Vincent, C., MacGregor, H. E. A., Bregman, T. P., Claramunt, S., & Tobias, J. A. (2020). Ecological drivers of global gradients in avian dispersal inferred from wing morphology. Nature Communications, 11(1), 1–9. https://doi.org/10.1038/s41467-020-16313-6