DOI: 10.5061/dryad.51c59zwgv
title: Data from: The metapopulation bridge to macroevolutionary speciation rates: a conceptual framework and empirical test

description: Whether large-scale variation in lineage diversification rates can be
 predicted by species properties at the population level is a key
 unresolved question at the interface between micro- and macroevolution.
 All else being equal, species with biological attributes that confer
 metapopulation stability should persist more often at timescales relevant
 to speciation and so give rise to new (incipient) forms that share these
 biological traits. Here, we develop a framework for testing the
 relationship between metapopulation properties related to persistence and
 phylogenetic speciation rates. We illustrate this conceptual approach by
 applying it to a long-term dataset on demersal fish communities from the
 North American continental shelf region. We find that several indices of
 metapopulation persistence have phylogenetic signal, suggesting that
 traits are connected with range-wide demographic patterns. However, there
 is no relationship between demographic properties and speciation rate.
 These findings suggest a decoupling between ecological dynamics at decadal
 timescales and million-year clade dynamics, raising questions about the
 extent to which population-level processes observable over ecological
 timescales can be extrapolated to infer biodiversity dynamics more
 generally.
description: # Data from: The metapopulation bridge to macroevolutionary speciation
 rates: a conceptual framework and empirical test
 [https://doi.org/10.5061/dryad.51c59zwgv](https://doi.org/10.5061/dryad.51c59zwgv) This dataset encompasses time-space occupancy estimates, metapopulation parameters, model estimates, scripts, RMarkdown files (for supplementary material), and traits of 189 demersal fish species from the US continental shelf studied in Januario, Pinsky & Rabosky (submitted manuscript). ## Description of the data and file structure All files are encoded in CSV format. Folders have individual READ ME files with more information. Contents: * Batt_etal_data.zip = This folder contains individual files with species-region pair data, originally modelled by Batt et al 2017 (ecol. Lett.) Only species used in our estimates are present (i.e., not all analyzed by Batt et al are included) * empirical_dataset_species_level.zip = Species-level data used in most analyses: contains all species-region pair metapopulation rates and traits summarized by species-region pairs (species-level traits are repeated in different regions) * metapop_power_analysis_results = Results from simulations that can be used to construct the deviance tables that evaluate the metapopulation model implemented. * scripts = scripts used in analyses and figures * Supplementary_material.Rmd = RMarkdown file that generates the supplementary material and supp figures (supp tables are stored in the "sup_tables" folder). It also contains some of the functions used in data analysis and the scripts to make supplementary figures. ## Sharing/Access information Data was derived from the following sources: * [https://doi.org/10.1111/ele.12812](https://doi.org/10.1111/ele.12812) * [https://doi.org/10.1111/2041-210X.13182](https://doi.org/10.1111/2041-210X.13182) * [https://doi.org/10.1111/2041-210X.14076](https://doi.org/10.1111/2041-210X.14076) ## Code/Software Scripts have their READ ME file inside folder Please send questions to januarioml.eco [at] gmail [dot] com.