Caves as microrefugia: Pleistocene phylogeography of the troglophilic North American scorpion Pseudouroctonus reddelli
© Bryson et al.; licensee BioMed Central Ltd. 2014
Received: 9 November 2013
Accepted: 2 January 2014
Published: 16 January 2014
Survival in microrefugia represents an important paradigm in phylogeography for explaining rapid postglacial re-colonization by species in temperate regions. Microrefugia may allow populations to persist in areas where the climatic conditions on the surface have become unfavourable. Caves generally contain stable microclimates and may represent microrefugia for species capable of exploiting both cave and surface habitats (troglophiles). We examine the phylogeography of the troglophilic North American vaejovid scorpion Pseudouroctonus reddelli using 1,993 base pairs of mitochondrial and nuclear DNA sequence data generated from 12 populations. We use (i) descriptive measures of genetic diversity and population genetics statistics, (ii) reconstructions of phylogeographical structure, spatial diffusion during diversification, and population sizes through time, and (iii) species distribution modelling to test predictions of the hypothesis that caves serve as microrefugia. We compare phylogeographical patterns in P. reddelli with other troglophilic species across the Edwards Plateau karst region of Texas.
Results revealed high haplotype and nucleotide diversity and substantial phylogeographical structure, probably generated during the Pleistocene. Spatial diffusion occurred along the southern edge of the Edwards Plateau from multiple refugia along the Balcones Escarpment. There was little evidence for population and geographical expansion. Species distribution models predicted substantial reductions in suitable epigean habitat for P. reddelli at the Last Glacial Maximum (LGM).
High genetic diversity, strong phylogeographical structure, diffusion from multiple refugia, and unfavourable climatic conditions at the LGM collectively support the hypothesis that caves served as microrefugia for P. reddelli. Similar patterns of genetic structure in P. reddelli and other troglophilic species across the Edwards Plateau karst region of Texas suggest that caves serving as microrefugia are important for the formation, maintenance, and future survival of troglophilic species in temperate karst regions.
The dramatic climatic oscillations of the Pleistocene profoundly impacted the geographical distribution and genetic structure of species in North America [1–3]. Parts of northern North America were periodically covered with glacial ice during the Pleistocene, resulting in dramatically fluctuating biotic communities . As a result of distributional shifts, fragmentation of primary habitats, and the development of unfavourable climate conditions that exceeded physiological tolerances, many temperate species responded to Pleistocene climatic fluctuations with latitudinal shifts into and out of refugia . Characterizing the location and extent of these climatic refugia has been the focus of phylogeographical research for decades (e.g. [1, 6–8]). Climatic refugia are generally considered to be large regions in which species took refuge during glacial advances . In North America such regions exist in the southeastern United States and in the Chihuahuan and Sonoran Deserts [8, 9].
Evidence suggests, however, that climatic refugia also occurred at local scales . Microrefugia are small areas “with local favourable environmental features, in which small populations can survive outside their main distribution area, protected from the unfavourable regional environmental conditions” (: pp. 482–483). The climatic conditions of microrefugia differ from those of the surrounding region in a manner conducive to the persistence of species that may not survive elsewhere [10, 12]. The survival of species within microrefugia has broad implications for how species responses to past climate change are viewed. Rather than invoking unrealistic long-distance dispersal (e.g. ) or ecological niche shifts (e.g. ) to explain discordant genetic structure and predicted paleo-distributions, species may simply have persisted in scattered microrefugia that supported isolated, low-density populations beyond their inferred distributional boundaries during the Pleistocene .
An important characteristic of microrefugia is a microclimate that is both stable and sufficiently distinct from the surrounding habitat [10, 12]. Subterranean environments such as caves provide conditions that enable species to persist during fluctuating climate [15–17]. The long-term persistence of troglobionts (obligate cave dwellers; ) in regions impacted by Pleistocene glaciation has been documented in several European (e.g. ) and North American (e.g. [20–22]) taxa. Presumably, troglophiles, uniquely able to exploit both cave and surface habitats , could also utilize caves as microrefugia during unfavourable climate . However, the concept that caves are potential microrefugia has not been well explored, perhaps owing to the relatively few phylogeographical studies of troglophilic species in temperate regions (e.g. [24–28]).
We hypothesize that the ability of P. reddelli to exploit both epigean (surface) and hypogean (subterranean) habitats allowed this species to persist across their present distribution during Pleistocene climatic fluctuations. During favourable climatic conditions, the geographical distribution of P. reddelli across epigean habitats and genetic connectivity among populations would have been more extensive than during periods of unfavourable conditions, when epigean populations would have diminished while hypogean populations persisted in isolated microrefugia. Cyclical patterns of dispersal into and out of microrefugia during glacial–interglacial cycles, repeated throughout the Pleistocene, should produce a signature of marked genetic diversity and phylogeographical structure . Genetic diversity is predicted to be retained in microrefugia during periods of unfavourable climate rather than lost, as during the extinction of recently-expanded populations with new genetic mutations . Populations in scattered microrefugia represent remnants of the most recent population expansion and are predicted to be well-differentiated .
In this paper, we examine the phylogeography of P. reddelli using mitochondrial and nuclear DNA sequence data generated from 12 populations. We calculate descriptive measures of genetic diversity and population genetics statistics, and reconstruct phylogeographical structure, spatial distribution and population sizes through time using coalescent-based methods. We create species distribution models (SDMs) to infer the climatic niche of epigean populations of P. reddelli and their potential distribution both presently and during the Last Glacial Maximum (LGM). We test the hypothesis that caves served as microrefugia, which predicts marked genetic diversity and phylogeographical structure, spatial diffusion from multiple refugia during diversification, and SDMs portraying dramatically reduced or displaced suitable climatic conditions at the LGM. Other combinations of low genetic diversity, signatures of recent population expansion from large refugial areas, and SDMs depicting reduced suitable habitat, or of high genetic diversity, limited phylogeographical structure, a single refugial area, and SDMs portraying no reduction or displacement of suitable climatic conditions, would support alternative hypotheses. Finally, we compare phylogeographical patterns in P. reddelli with other troglophilic species across the Edwards Plateau karst region of Texas.
Taxon sampling and DNA sequencing
Locality data for genetic samples of the North American vaejovid scorpions Pseudouroctonus reddelli and Pseudouroctonus sprousei , deposited in the Ambrose Monell Cryocollection at the American Museum of Natural History, New York
U.S.A.: Texas: Travis Co.: Austin
U.S.A.: Texas: Edwards Co.: W Camp Wood
U.S.A.: Texas: Williamson Co.: Georgetown
U.S.A.: Texas: Bandera Co.: E Haby Cemetery
U.S.A.: Texas: Hays Co.: Hays City
U.S.A.: Texas: Kimble Co.: Junction
U.S.A.: Texas: Edwards Co.: NE Kickapoo Caverns
U.S.A.: Texas: Burnet Co.: SW Marble Falls
U.S.A.: Texas: Kerr Co.: SE Mountain Home
U.S.A.: Texas: Comal Co.: N New Braunfels
U.S.A.: Texas: Bexar Co.: NW San Antonio
U.S.A.: Texas: Williamson Co.: NW Georgetown
Mexico: Coahuila: Cueva de la Falla
Mexico: Coahuila: Cueva del Lobo
Mexico: Coahuila: Cueva El Abra
We extracted genomic DNA from leg muscle tissue and generated sequences using standard protocols [32, 33]. We sequenced two markers, including fragments of the mitochondrial (mtDNA) genes Cytochrome c Oxidase subunit I (COI; 754 base pairs, bp) and 16S ribosomal DNA (16S; 398 bp), and a contiguous region of nuclear DNA we collectively referred to as ITS that included partial 18S rDNA (123 bp), internal transcribed spacer 1 (403 bp), 5.8S rDNA (142 bp), internal transcribed spacer 2 (209–211 bp, 156 bp used in the final alignment, see below), and partial 28S rDNA (17 bp). We edited and manually aligned sequences for each individual using Sequencher v5.0 (Gene Codes Corporation, Ann Arbor, MI). We used PHASE v2.1.1  to phase heterozygous sites within ITS, and retained the most probable pair of alleles for each heterozygous individual. We used three independent recombination tests (RDP, GENECOV, and MaxChi) in the program RDP v3.44  to test for recombination within ITS. We applied default settings for all three methods.
We calculated descriptive measures of genetic diversity for each locus, including the number of unique haplotypes (h), haplotype diversity (H d ), and nucleotide diversity (π), in DnaSP v5.1 . We calculated several classical population genetics statistics to further test for departures from equilibrium conditions. We calculated Tajima’s D and Fu’s F s  using DnaSP. Negative and significant values reject the null hypothesis of population stasis. We calculated the sum of squares deviation (SSD) and Harpending’s raggedness index (RI) for the observed mismatch distributions using ARLEQUIN v220.127.116.11 , and compared with data simulated under a sudden expansion model. Significant P-values indicate rejection of the recent expansion hypothesis. We derived calculations from each complete dataset and separately for localities with sample sizes greater than or equal to four. We treated samples from Thor’s Cave (n = 1) and Marble Falls (n = 5), which are 4.4 km apart, as a single population, and excluded Kickapoo (n = 2) and Hays City (n = 1) from the analyses.
We used a series of linear regressions to test for possible geographical gradients in genetic diversity. We calculated the Pearson’s correlation coefficient (r) in R v2.15.2  to test for correlations between diversity indices (H d and π) and latitude, longitude, and sample size for individual localities. We tested significance with 1000 permutations.
We estimated phylogeographical structuring and divergence dates independently for each locus using a relaxed Bayesian molecular clock framework implemented in BEAST v1.7.4 . We used jModeltest v0.1.1  to select the best-fit model of evolution, based on Akaike Information Criteria (AIC), for each of the two mtDNA genes. We calibrated the mtDNA tree by setting the clock-rate prior for each gene to a uniform distribution with bounds of 0.00734 and 0.00393 (COI) and 0.00486 and 0.00260 (16S). These values represent the number of substitutions per site per million years, derived from the inferred split of the vaejovid sister species Konetontli pattersoni (Williams 1980) and Konetontli nayarit (Armas & Martín-Frias 2001), presumably caused by geological separation of the Cape region of the Baja California Peninsula from mainland Mexico . We calculated maximum likelihood-corrected pairwise divergences between K. pattersoni and K. nayarit for COI and 16S sequences (GenBank accession numbers JX909605, JX909604, JX909531, and JX909530) using MEGA v5.1 , and divided the resultant numbers by 14 and 7.5 Ma, the maximum and minimum ages proposed for the separation of the Cape from mainland Mexico [44, 45]. We specified a strict clock for each gene after verification of clock-like rates using a stepping-stone model and a Bayes factor comparison in MrBayes v3.2.1 . We used jModeltest to estimate the best-fit model of evolution for the ITS data. We did not partition the ITS gene region to avoid over-parameterization, given the relatively low total number of informative sites. We derived the substitution rate for ITS as above using K. pattersoni and K. nayarit and ITS2 sequences (GenBank accession numbers JX909406 and JX909405) from Bryson et al.. We applied a uniform distribution with bounds of 0.00424 and 0.00187 on the clock-rate prior. We conducted analyses for 40 million generations, with samples retained every 1000 generations, using constant size coalescent tree priors for the mtDNA and the ITS loci. We displayed results in TRACER v1.5  to confirm acceptable mixing and likelihood stationarity, appropriate burn-in, and adequate effective sample sizes (ESS) above 200  for all estimated parameters. We summarized the parameter values of the samples from the posterior distribution on the maximum clade credibility tree, after discarding the first 4 million generations (10%) as burn-in, using TreeAnnotator v1.7.4 .
Our divergence dates are based on estimates from a single calibration point (the inferred split of K. pattersoni and K. nayarit). We therefore conducted additional analyses with the mtDNA data using the same priors and scorpion-specific mutation rates of 0.005 substitutions/site/million years for 16S and 0.007 substitutions/site/million years for COI. Although this ‘scorpion clock’ was calculated from buthid scorpions distantly related to P. reddelli, it has been used to estimate divergences within other scorpions [33, 51, 52], and no other mutation rates have been estimated for scorpions to date. We conducted analyses for 40 million generations and retained samples every 1000 generations.
We also assessed spatial genetic structure by testing the significance of isolation by distance (IBD) across the distribution of P. reddelli using the matrices of pairwise population differentiation statistics (F ST ) and the natural logarithm of the Euclidian geographical distances. We calculated F ST values for genetic distances with ARLEQUIN for each locus, and generated Euclidian distances with the IBRWS web server 0.1 . We subsequently used the IBD web server v3.23  to check for isolation-by-distance by performing a Mantel test with 1000 random permutations.
Phylogeography through time
We inferred the geographical origin of P. reddelli and its spatial distribution during diversification using a relaxed random walk (RRW) diffusion model across continuous space in BEAST. This model incorporates uncertainty in the tree topology and the spatial diffusion process to reconstruct time-sliced contours from the posterior tree distribution that represent the credibility intervals for locations at any point in time . We included the sister species P. sprousei and ran independent analyses on each locus. We edited the xml file, prior to analyses, to input random noise to offset identical coordinates using the jitter option with a parameter of 0.01. We used the gamma RRW model for the continuous trait model prior. We performed analyses on the mtDNA dataset for 40 million generations using the BEAST priors specified above. We performed two independent analyses on the ITS dataset due to low ESS values (see below), each for 400 million generations with samples retained every 10,000 generations. We then combined posterior parameter estimates across the two runs using LogCombiner v1.7.4 . We estimated a maximum clade credibility tree using TreeAnnotator and projected it onto the grid of geographical coordinates using SPREAD v1.0.5  to visualize phylogeographical reconstructions for each locus. We visualized the kml file output by SPREAD in Google Earth v6.0.1 (Google Inc.).
Historical demography through time
We generated coalescent-based Gaussian Markov random field (GMRF) Bayesian skyride plots  with BEAST to estimate the magnitude and relative timing of changes in effective population size since the time of the most recent common ancestor. This method differs from the similar Bayesian skyline plot  in that the former does not require specification of strong user-defined priors for the number of population size changes during the history of the sample . We performed independent analyses on the mtDNA and ITS datasets, without P. sprousei, using time-aware smoothing. Priors for the mtDNA and ITS datasets were as specified previously, but we used jModeltest to produce new best-fit models of evolution estimated for the ingroup only. We ran each dataset for 40 million generations, with samples retained every 1000 generations. We checked output files in TRACER to verify proper mixing and ESS values greater than 200 for each parameter. We subsequently reconstructed GMRF skyride plots in TRACER. Because strong population structure can violate skyride model assumptions of panmixia and potentially bias reconstructions , we conducted additional analyses on the two strongly supported subclades of P. reddelli (see below) using the mtDNA data. Regardless, we interpreted results cautiously and used them to cross-validate our descriptive statistics of departures from population size constancy (Tajima’s D, Fu’s F s , sum of squares deviation, and Harpending’s raggedness index).
Species distribution modelling
We obtained data for the climate of the study area from the WorldClim website (http://www.worldclim.org), at a resolution of 30 arc sec, approximately 1 km. We chose this resolution because of the sub-continental extent of the study, the relatively restricted distribution of the species within the study area, and the availability of high-resolution geographical coordinate data for species occurrence records. These climate data for North America represent an average over the period of approximately 1960–1990 . We refer to this as present climate. Although estimates of local epigean climate could have provided information on climatic conditions directly experienced by P. reddelli, such data were unavailable for present climate or for climate modelled for the LGM. We used the results of two ocean–atmosphere coupled general circulation models (GCMs) as estimates for climate at the LGM, MIROC (A Model for Interdisciplinary Research On Climate) and CCSM (Community Climate System Model). The modelled results were produced as part of the PMIP2 model comparison project  and downscaled versions were available at 2.5 arc min resolution from the WorldClim website. We further downscaled these raster layers using an inverse distance weighting algorithm in ArcMap 10 (ESRI, Redlands, CA, USA) to interpolate the LGM climate data to 30 arc sec . We represented present and LGM climate with 19 ‘bioclimatic’ variables (see http://www.worldclim.org), which may bear a closer relationship with physiological limitations than simple monthly means .
Ensemble approach and algorithms
We chose an ensemble approach to distribution modelling in order to account for potential model-based uncertainty [63, 64]. We chose four commonly used modelling algorithms. Two of these, generalized linear models (GLM)  and generalized additive models (GAM) , represented inherently statistical approaches whereas the others, boosted regression trees (BRT)  and maximum entropy (MaxEnt) [68, 69], were machine-learning algorithms. Generalized linear models and GAMs were implemented in R, using the packages stats and gam[70, 71], and BRTs and MaxEnt using the packages gbm and dismo, respectively [72, 73].
We used 25 occurrences of P. reddelli obtained from literature records [30, 74, 75] and samples collected during the study (Table 1) for developing distribution models. Each point was a surface locality geo-referenced to within several tens of metres, and no two points occupied the same pixel of the 1 km-resolution climate data. These occurrences constituted presence-only data and as such it was necessary to identify an encompassing area for the selection of climate background (MaxEnt) and pseudo-absence data (other algorithms). Although the role of these data differs among algorithms, we refer to them generically as pseudo-absence data. We chose an areal extent in southern North America (primarily the southern United States and Mexico) where we considered it reasonable that suitable climatic conditions for P. reddelli might be found presently and during the LGM. This was important because the inclusion of excessively long environmental gradients in pseudo-absence selection (e.g. by choosing the entirety of North America) may substantially over-predict the extent of distributions when modelling with presence-only data . We randomly chose 2000 locations from the selected area using a function in R to provide pseudo-absence data. The use of several thousand randomly selected pseudo-absence points generally leads to high model performance across algorithms . These data were weighted such that species prevalence in BRTs, GLMs and GAMs was effectively 0.5. Manual weighting is not possible in MaxEnt, so we selected the default prevalence value of 0.5. All cropping, downscaling and extraction of gridded climate values was done with the R packages raster, sp, and Rgdal.
Overfitting, parameterization and multi-colinearity
We constrained the models in several ways to avoid overfitting the current distribution of P. reddelli to the environmental data. This was important because close conformance to the training data by overfitted models (i.e. fitting error variation) may cause models to perform poorly when projected to other areas or climate datasets. The algorithm in the gbm package produces models by sequentially fitting simple regression and decision trees to the occurrence and pseudo-absence data. We ensured the use of simple trees by limiting tree depth to three. We used a conservative fitting criterion (‘oob’)  and adjusted the tree weightings (‘learning rate’ in the gbm package) to reduce the chance of overfitting and ensure that the number of trees in each final BRT model was between 2000 and 8000. We set the degrees of freedom in GAMs to three. We also set the synthetic variables generated by MaxEnt (‘features’) to a single type (‘hinge’). We included quadratic terms for each variable in GLM models, but did not include terms expressing interactions among variables, which may also prevent obtaining models that closely fit particular correlation structures among climate variables.
Climate variables from the WorldClim website ( http://www.worldclim.org ) used for parameterizing each of 20 distribution models for the North American vaejovid scorpion Pseudouroctonus reddelli
Bio3, Bio8, Bio15, Bio18
Bio1, Bio2, Bio8, Bio17
Bio2, Bio5, Bio18, Bio19
Bio5, Bio6, Bio13, Bio15
Bio2, Bio8, Bio11, Bio14
Annual mean temperature
Mean diurnal temperature range
Maximum temperature of the warmest month
Minimum temperature of the coldest month
Mean temperature of the wettest quarter
Mean temperature of the coldest quarter
Precipitation of the wettest month
Precipitation of the driest month
Precipitation of the driest quarter
Precipitation of the warmest quarter
Precipitation of the coldest quarter
Predictions of the current distribution of the species were formulated by determining probabilities of species presence (we used habitat suitability values for MaxEnt), conditioned on the current climate values for each 1 km pixel. We converted these continuous values to a Bernoulli variable that represented the presence or absence of suitable climate by tabulating model probabilities against the presence and pseudo-absence values used in model calibration. We subsequently determined the threshold probability as the value that maximized the True Skill Statistic (TSS), which previously demonstrated performance independent of species prevalence and has often been used for this purpose . The use of a flexible statistic to determine the probability threshold for predicted presence has proven superior to the use of a fixed, arbitrary threshold . We used the corresponding TSS value for each SDM to determine the predicted distribution of suitable climate at the LGM. We emphasized the degree of consensus among species distribution models regarding prediction of suitable climate for the species by overlaying the mapped predictions of each model to create a spatial frequency distribution.
Parsimony-informative sites comprised 13.5% of the mtDNA dataset (COI: 111/754 bp; 16S: 45/398 bp). The nuclear ITS gene region contained less variation than the mtDNA: 10% of the sites were parsimony-informative (84/841 bp). We were unable to obtain ITS sequences from the single sample from Hays City and one sample each from Junction, Kickapoo, and Camp Wood. Nuclear data were also missing for P. sprousei from El Abra. More than half of the P. reddelli samples (82%) were heterozygous for either one or two single base-pair indels within a 55-bp segment near the beginning of the ITS2 gene. Chromatograms on either side of this region (in the forward and reverse primers, respectively) were easy to read and align across all samples. We therefore discarded the intervening 55-bp section from the dataset. None of the three methods used in RDP detected recombination in the ITS dataset. We deposited sequence data in GenBank (KF982915–KF983014) and sequence alignments in the Dryad Digital Repository (http://dx.doi.org/10.5061/dryad.66rd8).
Measures of genetic diversity for the North American vaejovid scorpion Pseudouroctonus reddelli , including sample size ( n ), number of unique haplotypes ( h ), haplotype diversity ( H d ), nucleotide diversity (π), Tajima’s D , Fu’s F s , sum of squares deviation (SSD), and Harpending’s raggedness index (RI)
Descriptive statistics of departure from population size constancy were ambiguous, but no combinations of the four independent estimates strongly supported population expansion. Tajima’s D and Fu’s Fs values could not reject the null hypothesis of population stasis with one exception (Table 3). In this case, Fu’s F s statistic was significantly negative for the ITS data combined (F s = −20.6848, P < 0.01). The SSD and RI calculated for the observed mismatch distributions (Table 3) failed to reject the null hypothesis of recent population expansion for three populations based on mtDNA (SSD: Austin, New Braunfels; RI: San Antonio) and for the complete mtDNA dataset (RI).
Estimated divergence dates based on two different calibration methods using 1,152 base pairs of mitochondrial DNA for the North American vaejovid scorpions Pseudouroctonus reddelli and Pseudouroctonus sprousei
Baja vaejovid calibration
buthid ‘scorpion clock’
P. sprousei/P. reddelli
Divergence time estimates using our preferred vaejovid calibration contained wide 95% highest posterior density (HPD) intervals, especially at the base of the tree. The split between P. sprousei and P. reddelli occurred tens of millions of years before the Pleistocene (mean = 49.3 Ma; 95% HPD = 28.9–73.2 Ma). Early diversification within P. reddelli probably began near the Pliocene–Pleistocene boundary around 2.6 Ma. Subsequent divergences within P. reddelli based on mean estimates all occurred within the Pleistocene, but predated the LGM at around 0.02 Ma.
Phylogeography through time
The spatial diffusion of P. reddelli through time, reconstructed from the mtDNA and ITS data (Figure 4) were in general similar, and differed mainly in the timing and extent of the ancestral origin of P. reddelli. Differences in timing were consistent with younger dates inferred from the ITS data in BEAST analyses. The mtDNA data suggested that P. reddelli originated near the centrally located Mountain Home and Haby Cemetery localities during the Early Pleistocene, about 2.5 Ma. Subsequent diffusion occurred along the southern edge of the Edwards Plateau from multiple refugia along the Balcones Escarpment. Final dispersal events to the northern Marble Falls and Junction localities occurred during the Late Pleistocene, around 0.1 Ma. Based on the ITS data, P. reddelli originated along the southern edge of the Edwards Plateau around 1.5 Ma. As with reconstructions based on the mtDNA data, final dispersal events occurred to the Marble Falls and Junction localities. Missing ITS data for the divergent sample of P. sprousei from El Abra may explain why P. sprousei appeared to originate late in the Pleistocene, rather than millions of years earlier as suggested by the mtDNA data.
Historical demography through time
The GTR + I (CO1), HKY + G (16S), and HKY + I (ITS) models of sequence evolution were selected for the ingroup using jModeltest. However, as with the BEAST analyses discussed above, we changed the GTR model to the less complex HKY model for the COI partition to obtain adequate ESS values. Bayesian skyride plots reconstructed from the mtDNA (Figure 2b) and ITS (Figure 3b) data yielded similar results. The overall pattern was similar but, as with previous analyses, the estimated time was different; divergence date estimates based on ITS were younger than those based on mtDNA. Bayesian skyride plots for both loci suggested a relatively stable population size after origination, a gradual increase in population size (2–1 Ma during the Early Pleistocene, based on mtDNA, and 0.3–0.1 Ma during the Middle Pleistocene, based on ITS), and a return to relative population stasis (from the Late Pleistocene through the present). The mtDNA suggested a possible decrease in population size towards the end of the Pleistocene, but this may be an artefact of violating the model assumption of population admixture. This interpretation is further supported by the Bayesian skyride plots for the two mtDNA subclades (Additional file 3), both of which suggested relatively stable populations during this time. Bayesian skyride plots did not provide strong evidence for a dramatic population expansion, consistent with results of our other demographic analyses.
Species distribution modelling
Consensus predictions of the distribution of suitable climate for P. reddelli during the LGM differed substantially from predictions of the distribution of presently suitable climate. Only 5 to 8 of the 20 models projected upon the LGM climate estimate produced by the CCSM GCM predicted the presence of suitable conditions across the present distribution of P. reddelli (Figure 5b). None of the 20 models projected upon the LGM climate estimate of the MIROC GCM predicted the existence of suitable climate across the present distribution of the species. Instead, 5 to 8 models predicted the existence of suitable conditions during the LGM approximately 400 km to the south of the present distribution (Figure 5c). The majority of models did not support the presence of suitable climate during the LGM in any part of the study area under either climate estimate.
Phylogeography of P. reddelli
Results suggest a history of Pleistocene diversification within P. reddelli and support the hypothesis that caves served as microrefugia for this species. Multiple lines of genetic evidence support a general model of distributional stasis in P. reddelli over an alternative hypothesis of geographical expansion. Haplotype and nucleotide diversity are high (Table 3), substantial phylogeographical structure is evident (Figures 2 and 3), and the results broadly suggest population and geographical expansion was minimal (Table 3, Figures 2b, 3b, 4). High haplotype diversity in conjunction with high nucleotide diversity usually indicates a historically stable population [1, 5] and is a genetic signature predicted by the microrefugia model . Conversely, an ensemble of SDMs suggests that suitable epigean habitat for P. reddelli during the Pleistocene significantly decreased by the LGM and may have shifted several hundred kilometres to the south (Figure 5). The ability of P. reddelli to inhabit both surface and subterranean habitats probably allowed this scorpion to persist in caves scattered across its current distribution during cycles of unfavourable Pleistocene climate. Cave populations have likely retained genetic diversity, which has accumulated through time rather than been lost during changes in distribution. Such a scenario would explain the seemingly contradictory results from the genetic data and distribution models.
Pseudouroctonus reddelli probably diverged from its sister species, P. sprousei, during the Miocene and subsequently colonized the Edwards Plateau region in the early Pleistocene (Figures 2, 3 and 4). Similar deep divergences in the Miocene have been inferred for other North American vaejovid scorpions [32, 33, 52]. This colonization may have followed the Miocene–Pliocene formation of the Balcones fault zone and erosion of the Edwards Plateau into a karst region [86–88]. Results from the RRW diffusion models suggest populations then expanded out from multiple refugia along the cave-rich area of the Balcones Escarpment and reached current distributional limits by the late Pleistocene (Figure 4). Given the dramatic reduction in predicted suitable habitat at the LGM during the late Pleistocene (Figure 5), dispersal of P. reddelli from cave microrefugia may have occurred during warmer interglacial periods, but was arrested during cooler glacial periods, which accounted for about 80% of the Pleistocene . Prolonged duration in cave microrefugia may also explain why most sampled localities showed no evidence of admixture and formed monophyletic groups based on the faster-sorting mtDNA (Figure 2). The last inferred dispersals were to the northern Marble Falls and Junction localities late in the diversification history of P. reddelli. This slight northward expansion would explain the significant correlation between haplotype diversity (H d ) and latitude and the low genetic diversity values within the populations at both localities.
The observed high genetic diversity, strong phylogeographical structure, spatial diffusion from multiple refugia, and unfavourable climatic conditions at the LGM collectively support the hypothesis that caves served as microrefugia for P. reddelli. However, there may be alternative explanations for the pattern observed. Scorpions are generally poor dispersers which increases their propensity to show strong phylogeographical structure . Although several recent studies of North American scorpions suggest that Pleistocene glacial–interglacial periods may have had relatively little impact on distributions and genetic structure [32, 33], other studies have found strong evidence for recent postglacial range expansions and relatively weak phylogeographical structure [51, 90–92]. These findings suggest that Pleistocene climate change had a potentially strong impact on the diversification of some North American scorpion species and that not all species exhibit strong phylogeographical structure. It is possible that P. reddelli persisted in scattered surface localities across the Edwards Plateau during Pleistocene glacial–interglacial periods, thus making caves insignificant for the survival of this species. A small minority of the total number of SDM models in fact predict fragmented patches of suitable habitat across the Edwards Plateau at the LGM (Figure 5). However, not every single model is expected to show the same pattern; this is the point of using an ensemble modelling approach. Climatic variation during stadial–interstadial cycling may also have affected the distribution of suitable climate, but no suitable climate models are available to examine this possibility. The evidence is strongly against the presence of suitable surface conditions during the LGM.
Caves as microrefugia
The locations of microrefugia have important implications for phylogeographical research as they may influence perceptions about the genetic diversity and spatial distribution of species in response to climate change. Several abiotic factors impact the formation of microrefugia including slope, exposure, and elevation . As a result, microrefugia in temperate regions often occur in regions of topographical complexity [10, 12, 93]. However, even relatively tiny areas with stable environments, such as aquatic springs, can serve as microrefugia . Karst landscapes are pocketed with caves containing stable environments. Across temperate regions of the world, caves probably served as microrefugia for troglophilic species during the Pleistocene, as evidenced by the distribution of P. reddelli across the Edwards Plateau. During favourable environmental conditions, gene flow would have increased across the epigean habitats of troglophilic species . As environmental conditions deteriorated and epigean populations diminished, cave populations would have persisted in isolated microrefugia. A cyclical pattern of dispersal into and out of cave microrefugia, in response to Pleistocene glacial–interglacial cycles, should produce marked genetic diversity and phylogeographical structure in troglophilic species. In addition, species distribution models should predict a dramatic reduction or shift in suitable habitat concurrent with climate oscillations associated with glacial–interglacial cycles. These expectations (high genetic diversity, strong phylogeographical structure, diffusion from multiple refugia, and significantly reduced or shifted Pleistocene surface habitats) should form the basis for future tests of the hypothesis that caves served as microrefugia for troglophilic species in temperate regions. Evidence from multiple co-distributed troglophilic species would further strengthen this hypothesis and help to discriminate among common patterns and idiosyncratic (e.g., species-specific) patterns, which might be the case with P. reddelli.
Phylogeography of Edwards Plateau karst species
Our study adds to a small number of phylogeographical studies on Edwards Plateau karst species. Much of this research has focused on terrestrial and aquatic salamanders [94–97], some of which are cave-obligate (troglobiotic) species. The phylogeography of invertebrates such as troglophilic cave crickets  and troglomorphic cave spiders [88, 99] has also been studied. These studies revealed a pervasive pattern of relatively high genetic divergence and considerable phylogeographical structuring within or among species. The depth of phylogeographical structure includes relatively deep divergences (cave spiders: most pairwise divergences between taxa > 5%), moderate divergences (terrestrial and aquatic salamanders: most pairwise divergences around 3–5%), and relatively shallow divergences (cave crickets: most pairwise divergences < 3%). Pseudouroctonus reddelli appears to be at the lower end of this range with average mtDNA pairwise divergences between localities ranging from 2.4% (New Braunfels/Junction) to 1% (Camp Wood/Kickapoo). Taylor et al. noted genetic discontinuities near the Colorado River in several karst species, including cave crickets, troglobiotic harvestmen, aquatic isopods, and terrestrial and aquatic salamanders. Most P. reddelli from north of the Colorado River (Austin, Georgetown, and Thor’s Cave localities) also form a distinct group in the mtDNA tree (subclade 2 in Figure 2), indicating that the Colorado River is probably a barrier to dispersal for many karst species, as previously suggested .
Implications for cave conservation
Cave systems often harbour endemic troglobiotic species and frequently receive special legal protection. However, caves in temperate regions should be further prioritized for conservation because many serve as microrefugia for troglophilic species. Caves provide relatively stable microclimates during times of climate change and can facilitate persistence of troglophilic species even as their regional epigean populations diminish. As favourable environmental conditions reappear, expansion from cave microrefugia may allow some populations to respond rapidly to climate change . Accordingly caves can potentially ameliorate the negative effects of anthropogenic barriers to dispersal. Caves serving as microrefugia appear to have been important in the formation and maintenance of epigean populations in temperate karst regions and are likely to continue to be important for their future survival in response to climate change.
Our findings support the hypothesis that caves served as microrefugia for P. reddelli. The ability of this scorpion to exploit both epigean and hypogean habitats probably allowed it to persist across its present distribution during Pleistocene climatic fluctuations. Similar patterns of genetic structure in P. reddelli and other troglophilic species across the Edwards Plateau karst region of Texas suggest that caves serving as microrefugia are important for the formation, maintenance, and future survival of troglophilic species in temperate karst regions.
Availability of supporting data
Sequence data used in this study have been deposited in GenBank (KF982915–KF983014) and the Dryad Digital Repository (http://dx.doi.org/10.5061/dryad.66rd8).
We thank HM Burrell, L Colucci, A Gluesenkamp, OF Francke, TD Hibbitts, R Howe, J Huff, J Krejca, B McMinn, KJ McWest, R Moyer, R Myers, M Sanders, C Savvas, and P Sprouse for assisting with fieldwork and/or providing samples for analysis; and O Delgado, M Mosier and P Rubi for generating DNA sequence data at the AMNH. Fieldwork in Mexico was conducted under permits granted by SEMARNAT to OF Francke. Other support and assistance was provided by CA Brown, O Delgado, E González, J Grummer, J Huff, J Klicka, KJ McWest, and R Mercurio. Aspects of the work conducted at the AMNH were funded by National Science Foundation grants DEB 0413453 and DEB 0228699, and by a grant from the Richard Lounsbery Foundation to L Prendini.
- Hewitt GM: Some genetic consequences of ice ages, and their role in divergence and speciation. Biol J Linn Soc. 1996, 58: 247-276.View ArticleGoogle Scholar
- Avise JC: Phylogeography: The History and Formation of Species. 2000, Cambridge, Massachusetts: Harvard University PressGoogle Scholar
- Hewitt GM: The genetic legacy of the quaternary ice ages. Nature. 2000, 405: 907-913. 10.1038/35016000.PubMedView ArticleGoogle Scholar
- Webb T, Bartlein PJ: Global changes during the last 3 million years: climatic controls and biotic responses. Ann Rev Ecol Syst. 1992, 23: 141-173.View ArticleGoogle Scholar
- Hewitt GM: The structure of biodiversity – insights from molecular phylogeography. Front Zool. 2004, 1: 4-10.1186/1742-9994-1-4.PubMedPubMed CentralView ArticleGoogle Scholar
- Hoffmann RS: Different voles for different holes: environmental restrictions on refugial survival of mammals. Evolution today. Proceedings of the Second International Congress of Systematics and Evolutionary Biology. Edited by: Scudder GGE, Reveal JL. 1981, Pittsburgh, Pennsylvania: Carnegie-Mellon University, 25-45.Google Scholar
- Avise JC, Walker D: Pleistocene phylogeographic effects on avian populations and the speciation process. Proc R Soc B. 1998, 265: 457-463. 10.1098/rspb.1998.0317.PubMedPubMed CentralView ArticleGoogle Scholar
- Waltari E, Hijmans RJ, Peterson AT, Nyari AS, Perkins SL, Guralnick RP: Locating Pleistocene refugia: comparing phylogeographic and ecological niche model predictions. PLoS ONE. 2007, 2: e563-10.1371/journal.pone.0000563.PubMedPubMed CentralView ArticleGoogle Scholar
- Swenson NG, Howard DJ: Clustering of contact zones, hybrid zones, and phylogeographic breaks in North America. Am Nat. 2005, 166: 581-591. 10.1086/491688.PubMedView ArticleGoogle Scholar
- Dobrowski SZ: A climatic basis for microrefugia: the influence of terrain on climate. Glob Change Biol. 2011, 17: 1022-1035. 10.1111/j.1365-2486.2010.02263.x.View ArticleGoogle Scholar
- Rull V: Microrefugia. J Biogeogr. 2009, 36: 481-484. 10.1111/j.1365-2699.2008.02023.x.View ArticleGoogle Scholar
- Mosblech NA, Bush MB, Van Woesik R: On metapopulations and microrefugia: palaeoecological insights. J Biogeogr. 2011, 38: 419-429. 10.1111/j.1365-2699.2010.02436.x.View ArticleGoogle Scholar
- Clark JS, Fastie C, Hurtt G, Jackson ST, Johnson C, King GA, Lewis M, Lynch J, Pacala S, Prentice C, Schupp EW, Webb T, Wyckoff P: Reid’s paradox of rapid plant migration. Bioscience. 1998, 48: 13-24. 10.2307/1313224.View ArticleGoogle Scholar
- Jezkova T, Olah-Hemmings V, Riddle BR: Niche shifting in response to warming climate after the last glacial maximum: inference from genetic data and niche assessments in the chisel-toothed kangaroo rat (Dipodomys microps). Glob Change Biol. 2011, 17: 3486-3502. 10.1111/j.1365-2486.2011.02508.x.View ArticleGoogle Scholar
- Howarth FG: Ecology of cave arthropods. Ann Rev of Entomology. 1983, 28: 365-389. 10.1146/annurev.en.28.010183.002053.View ArticleGoogle Scholar
- Juberthie C: The diversity of the Karstic and pseudokarstic hypogean habitats in the world. Subterranean Ecosystems. Edited by: Wilkens H, Culver DC, Humphreys WF. 2000, Amsterdam: Elsevier, 17-39.Google Scholar
- Prendini L, Francke OF, Vignoli V: Troglomorphism, trichobothriotaxy and typhlochactid phylogeny (Scorpiones, Chactoidea): more evidence that troglobitism is not an evolutionary dead-end. Cladistics. 2010, 26: 117-142. 10.1111/j.1096-0031.2009.00277.x.View ArticleGoogle Scholar
- Prendini L: Substratum specialization and speciation in Southern African scorpions: the effect hypothesis revisited. Memoriam Gary A. Polis. Edited by: Fet V, Selden PA. 2001, Bucks, UK: British Arachnological Society, Burnham Beeches, 113-138.Google Scholar
- Allegrucci G, Todisco V, Sbordoni V: Molecular phylogeography of Dolichopoda cave crickets (Orthoptera, Rhaphidophoridae): a scenario suggested by mitochondrial DNA. Mol Phylogenet Evol. 2005, 37: 153-164. 10.1016/j.ympev.2005.04.022.PubMedView ArticleGoogle Scholar
- Hedin MC: Molecular phylogenetics at the population/species interface in cave spiders of the southern Appalachians (Araneae: Nesticidae: Nesticus). Mol Biol Evol. 1997, 14: 309-324. 10.1093/oxfordjournals.molbev.a025766.PubMedView ArticleGoogle Scholar
- Derkarabetian S, Steinmann DB, Hedin M: Repeated and time-correlated morphological convergence in cave-dwelling harvestmen (Opiliones, Laniatores) from montane western North America. PLoS ONE. 2010, 5: e10388-10.1371/journal.pone.0010388.PubMedPubMed CentralView ArticleGoogle Scholar
- Snowman CV, Zigler KS, Hedin M: Caves as islands: mitochondrial phylogeography of the cave-obligate spider species Nesticus barri (Araneae: Nesticidae). J Arachnol. 2010, 38: 49-57. 10.1636/A09-057.1.View ArticleGoogle Scholar
- Caccone A: Gene flow in cave arthropods: a qualitative and quantitative approach. Evolution. 1985, 39: 1223-1235. 10.2307/2408779.View ArticleGoogle Scholar
- Verovnik R, Sket B, Trontelj P: Phylogeography of subterranean and surface populations of water lice Asellus aquaticus (Crustacea: Isopoda). Mol Ecol. 2004, 13: 1519-1532. 10.1111/j.1365-294X.2004.02171.x.PubMedView ArticleGoogle Scholar
- Niemiller ML, Fitzpatrick BM, Miller BT: Recent divergence with gene flow in Tennessee cave salamanders (Plethodontidae: Gyrinophilus) inferred from gene genealogies. Mol Ecol. 2008, 17: 2258-2275. 10.1111/j.1365-294X.2008.03750.x.PubMedView ArticleGoogle Scholar
- Martinsen L, Venanzetti F, Bachmann L: Phylogeography and mitochondrial DNA divergence in Dolichopoda cave crickets (Orthoptera, Rhahidophoridae). Hereditas. 2009, 146: 33-45. 10.1111/j.1601-5223.2008.02068.x.PubMedView ArticleGoogle Scholar
- Chiari Y, Van der Meijden A, Mucedda M, Lourenço JM, Hochkirch A, Veith M: Phylogeography of Sardinian cave salamanders (genus Hydromantes) is mainly determined by geomorphology. PLoS ONE. 2012, 7: e32332-10.1371/journal.pone.0032332.PubMedPubMed CentralView ArticleGoogle Scholar
- Niemiller ML, McCandless JR, Reynolds RG, Caddle J, Tillquist CR, Near TJ, Pearson WD, FitzPatrick BM: Effects of climatic and geological processes during the Pleistocene on the evolutionary history of the northern cavefish, Amblyopsis spelaea (Teleostei: Amblyopsidae). Evolution. 2013, 67: 1011-1025. 10.1111/evo.12017.PubMedView ArticleGoogle Scholar
- Sissom WD, Reddell JR: Cave scorpions of Mexico and the United States [Escorpiones de cuevas de México y Estados Unidos]. Texas Mem Mus, Speleological Monogr. 2009, 7: 19-32.Google Scholar
- Stockwell SA: M.S. Thesis. The Scorpions of Texas (Arachnida, Scorpiones). 1986, Texas Tech UniversityGoogle Scholar
- Francke OF, Savary WE: A new troglobitic Pseudouroctonus Stahnke (Scorpiones: Vaejovidae) from northern Mexico. Zootaxa. 2006, 1302: 21-30.Google Scholar
- Bryson RW, Riddle BR, Graham MR, Smith BT, Prendini L: As old as the hills: montane scorpions in southwestern North America reveal ancient associations between biotic diversification and landscape history. PLoS ONE. 2013, 8: e52822-10.1371/journal.pone.0052822.PubMedPubMed CentralView ArticleGoogle Scholar
- Bryson RW, Savary WE, Prendini L: Biogeography of scorpions in the Pseudouroctonus minimus complex (Vaejovidae) from south-western North America: implications of ecological specialization for pre-Quaternary diversification. J Biogeogr. 2013, 40: 1850-1860.Google Scholar
- Stephens M, Donnelly P: A comparison of Bayesian methods for haplotype reconstruction from population genotype data. Am J Hum Genet. 2003, 73: 1162-1169. 10.1086/379378.PubMedPubMed CentralView ArticleGoogle Scholar
- Martin DP, Lemey P, Lott M, Moulton V, Posada D, Lefeuvre P: RDP3: a flexible and fast computer program for analyzing recombination. Bioinformatics. 2010, 26: 2462-2463. 10.1093/bioinformatics/btq467.PubMedPubMed CentralView ArticleGoogle Scholar
- Librado P, Rozas J: DnaSP v5: A software for comprehensive analysis of DNA polymorphism data. Bioinformatics. 2009, 25: 1451-1452. 10.1093/bioinformatics/btp187.PubMedView ArticleGoogle Scholar
- Tajima F: Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics. 1989, 123: 585-595.PubMedPubMed CentralGoogle Scholar
- Fu Y-X: Statistical neutrality of mutations against population growth, hitchhiking and background selection. Genetics. 1997, 147: 915-925.PubMedPubMed CentralGoogle Scholar
- Excoffier L, Lischer HEL: Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Mol Ecol Resour. 2010, 10: 564-567. 10.1111/j.1755-0998.2010.02847.x.PubMedView ArticleGoogle Scholar
- Development Core Team R: R: A Language and Environment for Statistical Computing. 2012, Vienna, Austria: R Foundation for Statistical ComputingGoogle Scholar
- Drummond AJ, Suchard MA, Xie D, Rambaut A: Bayesian phylogenetics with BEAUti and the BEAST 1.7. Mol Biol Evol. 2012, 29: 1969-1973. 10.1093/molbev/mss075.PubMedPubMed CentralView ArticleGoogle Scholar
- Posada D: jModelTest: phylogenetic model averaging. Mol Biol Evol. 2008, 25: 1253-1256. 10.1093/molbev/msn083.PubMedView ArticleGoogle Scholar
- Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S: MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol. 2011, 28: 2731-2739. 10.1093/molbev/msr121.PubMedPubMed CentralView ArticleGoogle Scholar
- Ferrari L: Miocene shearing along the northern boundary of the Jalisco block and the opening of the southern Gulf of California. Geology. 1995, 23: 751-754. 10.1130/0091-7613(1995)023<0751:MSATNB>2.3.CO;2.View ArticleGoogle Scholar
- Oskin M, Stock J: Marine incursions synchronous with plate-boundary localization in the Gulf of California. Geology. 2003, 31: 23-26. 10.1130/0091-7613(2003)031<0023:MISWPB>2.0.CO;2.View ArticleGoogle Scholar
- Ronquist F, Teslenko M, Van der Mark P, Ayres DL, Darling A, Höhna S, Larget B, Liu L, Suchard MA, Huelsenbeck JP: MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Syst Biol. 2012, 61: 539-542. 10.1093/sysbio/sys029.PubMedPubMed CentralView ArticleGoogle Scholar
- Rambaut A, Drummond AJ: Tracer v1.4. 2007, Available at http://beast.bio.ed.ac.uk/TracerGoogle Scholar
- Drummond AJ, Ho SYW, Rawlence N, Rambaut A: A rough guide to BEAST 1.4. 2007, Available at http://beast.bio.ed.ac.uk/Main_PageGoogle Scholar
- Gantenbein B, Largiadèr CR: The phylogeographic importance of the Strait of Gibraltar as a gene flow barrier in terrestrial arthropods: a case study with the scorpion Buthus occitanus as model organism. Mol Phylogenet Evol. 2003, 28: 119-130. 10.1016/S1055-7903(03)00031-9.PubMedView ArticleGoogle Scholar
- Gantenbein B, Fet V, Gantenbein-Ritter IA, Balloux F: Evidence for recombination in scorpion mitochondrial DNA (Scorpiones: Buthidae). Proc R Soc B. 2005, 272: 697-704. 10.1098/rspb.2004.3017.PubMedPubMed CentralView ArticleGoogle Scholar
- Graham MR, Jaeger JR, Prendini L, Riddle BR: Phylogeography of the Arizona hairy scorpion (Hadrurus arizonensis) supports a model of biotic assembly in the Mojave Desert and adds a new Pleistocene refugium. J Biogeogr. 2013, 40: 1298-1312. 10.1111/jbi.12079.View ArticleGoogle Scholar
- Graham MR, Jaeger JR, Prendini L, Riddle BR: Phylogeography of Beck’s Desert Scorpion, Paruroctonus becki, reveals Pliocene diversification in the Eastern California Shear Zone and postglacial expansion in the Great Basin Desert. Mol Phylogenet Evol. 2013, 69: 502-513. 10.1016/j.ympev.2013.07.028.PubMedView ArticleGoogle Scholar
- Suzuki Y, Bohonak AJ: Isolation by resistance, web service. version 0.1 beta. 2010, Available at http://ibdws.sdsu.edu/~ibdws/ibrws.htmlGoogle Scholar
- Jensen JL, Bohonak AJ, Kelley ST: Isolation by distance, web service, v3.23. BMC Genetics. 2005, 6: 13-PubMedPubMed CentralView ArticleGoogle Scholar
- Lemey P, Rambaut A, Welch JJ, Suchard MA: Phylogeography takes a relaxed random walk in continuous space and time. Mol Biol Evol. 2010, 27: 1877-1885. 10.1093/molbev/msq067.PubMedPubMed CentralView ArticleGoogle Scholar
- Bielejec F, Rambaut A, Suchard MA, Lemey P: SPREAD: spatial phylogenetic reconstruction of evolutionary dynamics. Bioinformatics. 2011, 27: 2910-2912. 10.1093/bioinformatics/btr481.PubMedPubMed CentralView ArticleGoogle Scholar
- Minin VN, Bloomquist EW, Suchard MA: Smooth skyride through a rough skyline: Bayesian coalescent-based inference of population dynamics. Mol Biol Evol. 2008, 25: 1459-1471. 10.1093/molbev/msn090.PubMedPubMed CentralView ArticleGoogle Scholar
- Drummond AJ, Rambaut A, Shapiro B, Pybus OG: Bayesian coalescent inference of past population dynamics from molecular sequences. Mol Biol Evol. 2005, 22: 1185-1192. 10.1093/molbev/msi103.PubMedView ArticleGoogle Scholar
- Ho SYW, Shapiro B: Skyline-plot methods for estimating demographic history from nucleotide sequences. Mol Ecol Resour. 2011, 11: 423-434. 10.1111/j.1755-0998.2011.02988.x.PubMedView ArticleGoogle Scholar
- Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A: Very high resolution interpolated climate surfaces for global land areas. Int J Climatol. 2005, 25: 1965-1978. 10.1002/joc.1276.View ArticleGoogle Scholar
- Braconnot P, Otto-Bliesner B, Harrison S, Joussaume S, Peterchmitt J-Y, Abe-Ouchi A, Crucifix M, Driesschaert E, Fichefet T, Hewitt CD, Kageyama M, Kitoh A, Laîné A, Loutre M-F, Marti O, Merkel U, Ramstein G, Valdes P, Weber SL, Yu Y, Zhao Y: Results of PMIP2 coupled simulations of the Mid-Holocene and Last Glacial Maximum - Part 1: experiments and large-scale features. Clim Past. 2007, 3: 261-277. 10.5194/cp-3-261-2007.View ArticleGoogle Scholar
- ESRI [Environmental Systems Research Institute]: ArcMap Version 10.0. 2010, Redlands, California: ESRIGoogle Scholar
- Araujo MB, New M: Ensemble forecasting of species distributions. Trends Ecol Evol. 2007, 22: 42-47. 10.1016/j.tree.2006.09.010.PubMedView ArticleGoogle Scholar
- Buisson L, Thuiller W, Casajus N, Lek S, Grenouillet G: Uncertainty in ensemble forecasting of species distribution. Glob Change Biol. 2010, 16: 1145-1157. 10.1111/j.1365-2486.2009.02000.x.View ArticleGoogle Scholar
- McCullagh P, Nelder JA: Generalized Linear Models. 1999, Boca Raton: Chapman & Hall/CRC, 2Google Scholar
- Guisan A, Edwards TC, Hastie T: Generalized linear and generalized additive models in studies of species distributions: setting the scene. Ecol Model. 2002, 157: 89-100. 10.1016/S0304-3800(02)00204-1.View ArticleGoogle Scholar
- Elith J, Leathwick JR, Hastie T, Dudík M, Chee YE, Yates CJ: A working guide to boosted regression trees. J Anim Ecol. 2008, 77: 802-813. 10.1111/j.1365-2656.2008.01390.x.PubMedView ArticleGoogle Scholar
- Elith J, Phillips SJ, Hastie T: A statistical explanation of MaxEnt for ecologists. Divers Distrib. 2011, 17: 43-57. 10.1111/j.1472-4642.2010.00725.x.View ArticleGoogle Scholar
- Phillips SJ, Anderson RP, Schapire RE: Maximum entropy modeling of species geographic distributions. Ecol Model. 2006, 190: 231-259. 10.1016/j.ecolmodel.2005.03.026.View ArticleGoogle Scholar
- Hastie T: gam: Generalized Additive Models. R package version 1.06.2. 2011, Available at http://CRAN.R-project.org/package=gamGoogle Scholar
- Venables WN, Ripley BD: Modern Applied Statistics with S. 2002, New York: SpringerView ArticleGoogle Scholar
- Hijmans RJ, Phillips S, Leathwick JR, Elith J: dismo: species distribution modeling. R package version 0.7-17. 2012, Available at http://CRAN.R-project.org/package=dismoGoogle Scholar
- Ridgeway G: gbm: Generalized Boosted Regression Models. R package version 1.6-3.1. 2012, Available at http://CRAN.R-project.org/package=gbmGoogle Scholar
- Gertsch WJ, Soleglad ME: Studies of North American scorpions of the genera Uroctonus and Vejovis (Scorpionida, Vejovidae). Bull Am Mus Nat Hist. 1972, 148: 549-608.Google Scholar
- McWest KJ: Tarsal spinules and setae of vaejovid scorpions (Scorpiones: Vaejovidae). Zootaxa. 2001, 2009: 1-126.Google Scholar
- Van der Wal J, Shoo LP, Graham C, William SE: Selecting pseudo-absence data for presence-only distribution modeling: how far should you stray from what you know?. Ecol Model. 2009, 220: 589-594. 10.1016/j.ecolmodel.2008.11.010.View ArticleGoogle Scholar
- Barbet-Massin M, Jiguet F, Albert CH, Thuiller W: Selecting pseudo-absences for species distribution models: how, where and how many?. Methods Ecol Evol. 2012, 3: 327-338. 10.1111/j.2041-210X.2011.00172.x.View ArticleGoogle Scholar
- Hijmans RJ, Van Etten J: raster: geographic analysis and modeling with raster data. R package version 1.9-67. 2012, Available at http://CRAN:R-project.org/package=rasterGoogle Scholar
- Bivand RS, Pebesma EJ, Gomez-Rubio V: Applied Spatial Data Analysis with R. 2008, New York: SpringerGoogle Scholar
- Keitt TH, Bivand R, Pebesma E, Rowlingson B: rgdal: bindings for the Geospatial Data Abstraction Library. R package version 0.7-22. 2012, Available at http://CRAN.R-project.org/package=rgdalGoogle Scholar
- Ridgeway G: Generalized Boosted Models: a guide to the gbm package. 2006, Available at http://cran.r-project.org/web/packages/gbm/index.htmlGoogle Scholar
- Fielding AH, Bell JF: A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ Conserv. 1997, 24: 38-49. 10.1017/S0376892997000088.View ArticleGoogle Scholar
- Allouche O, Tsoar A, Kadmon R: Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). J Appl Ecol. 2006, 43: 1223-1232. 10.1111/j.1365-2664.2006.01214.x.View ArticleGoogle Scholar
- Liu CR, Berry PM, Dawson TP, Pearson RG: Selecting thresholds of occurrence in the prediction of species distributions. Ecography. 2005, 28: 385-393. 10.1111/j.0906-7590.2005.03957.x.View ArticleGoogle Scholar
- Sauquet H, Ho SYW, Gandolfo MA, Jordan GJ, Wilf P, Cantrill DJ, Bayly MJ, Bromham L, Brown GK, Carpenter RJ, Lee DM, Murphy DJ, Sniderman JMK, Udovicic F: Testing the impact of calibration on molecular divergence times using a fossil-rich group: the case of Nothofagus (Fagales). Syst Biol. 2012, 61: 289-313. 10.1093/sysbio/syr116.PubMedView ArticleGoogle Scholar
- Wilson JA: Miocene formations and vertebrate biostratigraphic units, Texas coastal plain. Am Assoc Petroleum Geologists Bull. 1956, 40: 2233-2246.Google Scholar
- Ward B: Geologic history as it relates to modern vegetation patterns of South Central Texas. Convergence and Diversity: Native Plants of South Central Texas. Native Plant Society of Texas Symposium Proceedings. Edited by: Lautzenheiser E, Leslie-Pasztor P, Merritt J, Miller M, Millsaps L, Ward B. 2006, San Antonio, Texas: Native Plant Society of Texas, 1-13.Google Scholar
- White K, Davidson GR, Paquin P: Hydrologic evolution of the Edwards Aquifer recharge zone (Balcones fault zone) as recorded in the DNA of eyeless Cicurina cave spiders, south-central Texas. Geology. 2009, 37: 339-342. 10.1130/G25373A.1.View ArticleGoogle Scholar
- Jackson ST, Overpeck JT: Responses of plant populations and communities to environmental changes of the Late Quaternary. Paleobiology. 2000, 26: 194-220. 10.1666/0094-8373(2000)26[194:ROPPAC]2.0.CO;2.View ArticleGoogle Scholar
- Miller AL, Makowsky RA, Formanowicz DR, Prendini L, Cox CL: Cryptic genetic diversity and complex phylogeography of the boreal North American scorpion, Paruroctonus boreus (Vaejovidae). Mol Phylogenet Evol. 2013, 10.1016/j.ympev.2013.11.005Google Scholar
- Yamashita T, Rhoads DD: Species delimitation and morphological divergence in the scorpion Centruroides vittatus (Say, 1821): insights from phylogeography. PLoS One. 2013, 8: e68282-10.1371/journal.pone.0068282.PubMedPubMed CentralView ArticleGoogle Scholar
- Estep MC, Connell MU, Henson RN, Murrell ZE, Small RL: Testing a vicariance model to explain haplotype distribution in the psammophilic scorpion Paruroctonus utahensis. Southwest Nat. 2005, 50: 150-157. 10.1894/0038-4909(2005)050[0150:TAVMTE]2.0.CO;2.View ArticleGoogle Scholar
- Rull V: On microrefugia and cryptic refugia. J Biogeogr. 2010, 37: 1623-1627.Google Scholar
- Hillis DM, Chamberlain DA, Wilcox TP, Chippendale PT: A new species of subterranean blind salamander (Plethodontidae: Hemidactyliini: Eurycea: Typhlomolge) from Austin, Texas, and systematic revision of central Texas paedomorphic salamanders. Herpetologica. 2001, 57: 266-280.Google Scholar
- Wiens JJ, Chippindale PT, Hillis DM: When are phylogenetic analyses misled by convergence? A case study in Texas cave salamanders. Syst Biol. 2003, 52: 501-514.PubMedGoogle Scholar
- Baird AB, Krejca JK, Reddell JR, Peden CE, Mahoney MJ, Hillis DM: Phylogeographic structure and color pattern variation among populations of Plethodon albagula on the Edwards Plateau of Central Texas. Copeia. 2006, 4: 760-768.View ArticleGoogle Scholar
- Lucas LK, Gompert Z, Ott JR, Nice CC: Geographic and genetic isolation in spring-associated Eurycea salamanders endemic to the Edwards Plateau region of Texas. Conserv Genet. 2008, 10: 1309-1319.View ArticleGoogle Scholar
- Taylor SJ, Weckstein JD, Takiya DM, Krejca JK, Murdoch JD, Veni G, Johnson KP, Reddell JR: Phylogeography of cave crickets (Ceuthophilus spp.) in central Texas: a keystone taxon for the conservation and management of federally listed endangered cave arthropods. Ill Nat Hist Surv Tech Rep. 2007, 58: 1-45.Google Scholar
- Paquin P, Hedin M: The power and perils of ‘molecular taxonomy’: a case study of eyeless and endangered Cicurina (Araneae: Dictynidae) from Texas caves. Mol Ecol. 2004, 13: 3239-3255. 10.1111/j.1365-294X.2004.02296.x.PubMedView ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.