Data from: The metapopulation bridge to macroevolutionary speciation rates: a conceptual framework and empirical test
Data files
Oct 29, 2024 version files 113.21 MB
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Batt_etal_data.zip
2.19 MB
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empirical_dataset_species_level.zip
60.27 KB
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metapop_power_analysis_results.zip
110.84 MB
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README_general.txt
967 B
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README.md
2.07 KB
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scripts.zip
25.58 KB
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Supplementary_material.Rmd
98.81 KB
Abstract
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.
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/10.1111/2041-210X.13182
- 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.