11 research outputs found

    Data from: Comparing life histories across taxonomic groups in multiple dimensions: how mammal-like are insects?

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    Explaining variation in life histories remains a major challenge because they are multi-dimensional and there are many competing explanatory theories and paradigms. An influential concept in life history theory is the 'fast-slow continuum', exemplified by mammals. Determining the utility of such concepts across taxonomic groups requires comparison of the groups' life histories in multidimensional space. Insects display enormous species richness and phenotypic diversity, but testing hypotheses like the 'fast-slow continuum' has been inhibited by incomplete trait data. We use phylogenetic imputation to generate complete datasets of seven life history traits in orthopterans (grasshoppers and crickets) and examine the robustness of these imputations for our findings. Three phylogenetic principal components explain 83-96% of variation in these data. We find consistent evidence of an axis mostly following expectations of a 'fast-slow continuum', except that 'slow' species produce larger, not smaller, clutches of eggs. We show that the principal axes of variation in orthopterans and reptiles are mutually explanatory, as are those of mammals and birds. Essentially, trait covariation in Orthoptera, with 'slow' species producing larger clutches, is more reptile-like than mammal-or-bird-like. We conclude that the 'fast-slow continuum' is less pronounced in Orthoptera than in birds and mammals, reducing the universal relevance of this pattern, and the theories that predict it

    Referenced Dataset

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    Excel file (.xlsx) containing the dataset of Orthopteran life history traits ("Data" tab), and numbered references ("References" tab)

    Mammal Dataset

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    Mammal life history data used in the analyses across taxonomic groups. Collated from: Capellini et al, 2015; Jeschke and Kokko, 2009; Myhrvold et al., 2015 [see text]

    Reptile Dataset

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    Reptile life history data used in the analyses across taxonomic groups. Collated from: Allen et al., 2017; Myhrvold et al., 2015 [see text]

    Code: The fast-slow continuum hypothesis in Orthoptera

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    R code for analyses within Orthoptera, including: PGLS analyses, imputation of missing data (at various levels of completeness), and phylogenetic PCAs

    Orthoptera dataset (plain text)

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    Plain text version of the Orthoptera dataset, used for statistical analyses. The references are listed in the Excel spreadsheet

    Orthoptera Supertree

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    Orthoptera supertree used to impute missing species data and for phylogenetically constrained analyses. Based on Davis et al., 2018 (doi: 10.1101/392712

    Code: Analyses across taxonomic groups

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    R code for analyses in the second section of the results, including: phylogenetic PCA across taxonomic groups, and non-phylogenetic PCA's and calculations comparing the shared variance explained by the different taxonomic groups

    Phylogeny for analyses across taxonomic groups

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    Phylogeny covering orthopterans, mammals, birds and reptiles. For node dates separating groups and construction procedure please refer to Appendix A (Supplementary Methods)

    The Path to Fossil Fuel Divestment for Universities: Climate Responsible Investment

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