Data from: A phylogenetic study to assess the link between biome specialisation and diversification in swallowtail butterflies
Creators: name: Gamboa, Sara
name: Condamine, Fabien L.
name: Cantalapiedra, Juan L.
name: Varela, Sara
name: Pelegrín, Jonathan
name: Menéndez, Iris
name: Blanco, Fernando
name: Hernández Fernández, Manuel
Publisher: name: Zenodo
Year: 2022

description: The resource-use hypothesis, proposed by E.S. Vrba, states that habitat fragmentation caused by climatic oscillations would affect particularly biome specialists (species inhabiting only one biome), which might show higher speciation and extinction rates than biome generalists. If true, lineages would accumulate biome-specialist species. This effect would be particularly exacerbated for biomes located at the periphery of the global climatic conditions, namely, biomes that have high/low precipitation and high/low temperature such as rainforest (warm-humid), desert (warm-dry), steppe (cold-dry), and tundra (cold-humid). Here, we test these hypotheses in swallowtail butterflies, a clade with more than 570 species, covering all the continents but Antarctica, and all climatic conditions. Swallowtail butterflies are among the most studied insects, and they are a model group for evolutionary biology and ecology studies. Continental macroecological rules are normally tested using vertebrates, this means that there are fewer examples exploring terrestrial invertebrate patterns at global scale. Here, we compiled a large GIS database on swallowtail butterflies' distribution maps and used the most complete time-calibrated phylogeny to quantify diversification rates. In this paper we aim to answer the following questions: 1) Are there more biome-specialists swallowtail butterflies than biome-generalists? 2) Is diversification rate related to biome specialisation? 3) If so, do swallowtail butterflies inhabiting extreme biomes show higher diversification rates? 4) What is the effect of species distribution area? Our results showed that swallowtail family presents a great number of biome specialists which showed substantially higher diversification rates compared to generalists. We also found that biome-specialists are unevenly distributed across biomes. Overall, our results are consistent with the resource-use hypothesis., species climatic niche and biome fragmentation as key factors promoting isolation.
description: Sheet 1: Papilionide_Biomes contains information on the occupation (1) or non-occupation (0) of the biome for each of the 593 species studied in each of the 10 biomes taken into account, as well as the total number of biomes occupied by each species. Sheet 2: BSI_phylogeny shows all species included in the phylogeny and their BSI values. Sheet 3: Taxonomic reconciliation. Supplementary Materials can be downloaded from Zenodo (https://doi.org/10.5281/zenodo.6822578) Appendix S1: Systematic references and taxonomical reconciliation Appendix S2: Literature used for the biogeographical survey of all modern Papilionidae species Appendix S3: Supplementary tables and figuresFunding provided by: European Research Council<br>Crossref Funder Registry ID: http://dx.doi.org/10.13039/100010663<br>Award Number: Gran agreement No. 947921Funding provided by: European Research Council<br>Crossref Funder Registry ID: http://dx.doi.org/10.13039/100010663<br>Award Number: agreement no. 851188Funding provided by: Universidad Complutense de Madrid<br>Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100002911<br>Award Number: CT27/16-CT28/16Funding provided by: Spain Ministry of Universities*<br>Crossref Funder Registry ID: <br>Award Number: CT31/21Funding provided by: Generation European Union programme*<br>Crossref Funder Registry ID: <br>Award Number: CT31/21Funding provided by: Marie Curie International Outgoing Fellow*<br>Crossref Funder Registry ID: <br>Award Number: agreement no. 627684Funding provided by: CNRS<br>Crossref Funder Registry ID: http://dx.doi.org/10.13039/100012681<br>Award Number: Funding provided by: Agence Nationale de la Recherche<br>Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001665<br>Award Number: ANR-10-LABX-25-01Funding provided by: Humboldt Foundation, the German Research Foundation*<br>Crossref Funder Registry ID: <br>Award Number: AOBJ: 637491Funding provided by: Talent Attraction Program of the Madrid Government*<br>Crossref Funder Registry ID: <br>Award Number: 2017-P1/AMB-5298Funding provided by: Deutsche Forschungsgemeinschaft<br>Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001659<br>Award Number: LO 2368/1-1Funding provided by: Spanish Ministry of Science, Innovation, and Universities*<br>Crossref Funder Registry ID: <br>Award Number: PGC2018-094955-A-100Funding provided by: Universidade de Vigo<br>Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100006761<br>Award Number: Funding provided by: Consorcio Interuniversitario do Sistema Universitario de Galicia (GISUG)*<br>Crossref Funder Registry ID: <br>Award Number:
description: The biomes inhabited by a species were determined by the overlap between the reported geographical distribution of each species and the biome map (Hernández Fernández, 2001). Here, we consider a biome as inhabited by a species if it constitutes 15% or more of its geographical range. For the cases where the species overlapped isolated, small and distinct biome patches, we also recorded the presence of a species in a biome if the species is present in 50% or more of that biome patch (Hernández Fernández, 2001). Further, for those species with presence in mountain environments, following Moreno-Bofarull et al. (2008) and Cantalapiedra et al. (2011), we considered the altitudinal vegetation belts (ETOPO2v2, NOAA National Geophysical Data Center, 2006), which were not included in Walter's map, The overlap between species distribution ranges and biomes was calculated using ArcGIS software. These criteria allow to represent the adaptation capacity of species while maintaining their climatic specificity and, at the same time, allow us to compare our results with previous works using the same methodology (Hernández Fernández &amp; Vrba, 2005; Moreno Bofarull et al., 2008; Cantalapiedra et al., 2011; Gómez Cano et al., 2013; Menéndez et al., 2021; Hernández Fernández et al., 2022). Then, we computed the Biomic Specialisation Index (BSI) defined by Hernández Fernández &amp; Vrba (2005) as the number of inhabited biomes by a species. Biome-specialist species were defined as those occupying only one biome, with a BSI = 1 (Hernández Fernández &amp; Vrba, 2005). In turn, species with BSI &gt; 1 were considered as biome-generalists, differentiating between "semi-generalists" (1 &lt; BSI &lt; 5) and "extreme generalists" (BSI ≥ 5) (Hernández Fernández &amp; Vrba, 2005)