DOI: 10.5061/dryad.bk3j9kd79
title: Data from: Why do bugs perish? range size and local vulnerability traits as surrogates of Odonata extinction risk

description: Despite claims of an insect decline worldwide, our understanding of
 extinction risk in insects is incomplete. Using bionomic data of all
 odonate (603 dragonflies and damselflies) North American species, we
 assessed: a) regional extinction risk and whether this is related to local
 extirpation; b) whether these two patterns are similar altitudinally and
 latitudinally; and, c) areas of conservation concern. We used geographic
 range size as a predictor of regional extinction risk
 and body size, thermal limits and habitat association as
 predictors of local extirpation. We found that: a) greater
 regional extinction risk is related to narrow thermal limits, lotic
 habitat use and large body size (this in damselflies but not dragonflies);
 b) southern species are more climate-tolerant but
 with limited geographic range size than northern
 species; and, c) two priority areas for odonate
 conservation are the cold-temperate to sub-boreal Northeast USA and
 the Transversal Neo-Volcanic System. Our approach can be used to
 estimate insect extinction risk as it compensates for the lack of
 abundance data. 
description: <strong>odonata_NA-Rocha.csv</strong>
 Odonata thorax size and related thermal properties. Data
 on adult thorax size were mainly extracted for each species from the
 Encyclopedia Of Life. These were complemented with other sources such
 as http://natuurtijdschriften.nl/natuur and www.odonatephenotypicdatabase.org. Climatic tolerance was evaluated using a proxy of thermal tolerance, the average isothermality values (BIO3) across each species’ extent of occurrencel. The values of isothermality (BIO3) were taken from bioclimatic variables [49]. Habitat specialization was categorized by breeding habitat: lentic, lotic or no preference.    <strong>Phylo_Odonata.nex</strong> A super-tree was generated from Odonata mega-tree (Waller & Svensson, 2017) using the software Phylomatic Version 3 (Webb & Donoghue, 2005).Families were dated in Phylocom (Webb et al. 2005) using the bladj algorithm and taking into account the dating dates proposed by Davis et al. ( 2011). For each continuous trait (body size, climatic tolerance) we calculated Pagel’s lambda to quantify the strength of phylogenetic signal from zero (no signal) to one (Revell, 2012). We controlled for significant signal in subsequent modelling. Waller JTJ., Svensson EI. 2017 Body size evolution in an old insect order: No evidence for Cope’s Rule in spite of fitness benefits of large size. Evolution (N. Y). 71, 2178–2193. (doi:10.1111/evo.13302)  Webb C, Donoghue MJ. 2005 Phylomatic: tree assembly for applied phylogenetics. Mol. Ecol. Notes 5, 181–183. (doi:10.1111/j.1471-8286.2004.00829.x)  Webb C., Ackerly D, Kembe S. 2008 Phylocom: software for the analysis of phylogenetic community structure and trait evolution. Bioinformatics 24, 2098–2100.  Davis RB, Nicholson DBD., Saunders ELR, Mayhew P. PJ. 2011 Fossil gaps inferred from phylogenies alter the apparent nature of diversification in dragonflies and their relatives. BMC Evol. Biol. 11, 252. (doi:10.1186/1471-2148-11-252)  Revell L. 2012 Phytools: an R package for phylogenetic comparative biology (and other things). Methods Ecol. Evol. 3, 217–223.    <strong>coordenate_odonata-Rocha</strong> Data were obtained from OdonataCentral, a storage and distribution hub for adult odonate records throughout North America and from CONABIO a storage site for, mainly, Mexican diversity.