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31 December 2014 Patterns of diversification in small New World ground doves are consistent with major geologic events
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South America has undergone many dramatic changes during the past 60 million years, which has had a major impact on the patterns of biological speciation and diversity in the region. Birds have been particularly affected, and major geologic events have been an important factor in generating avian diversity in the New World. Here we investigate the impact of two geologic events, Andean uplift and the Panamanian land bridge formation, on the speciation and diversification patterns of birds in the New World using a broadly dispersed clade, the small New World ground doves (Aves: Columbidae). Using complete species-level sampling for the clade (barring 2 possibly extinct species), we used sequences of 4 mitochondrial genes and 1 nuclear gene to infer a phylogenetic tree for the group. To address historical biogeographic questions, we estimated divergence times and reconstructed ancestral ranges. The phylogenetic analysis resulted in a well-supported tree. Divergence time estimates and historical biogeographic reconstruction indicated a South American origin for the clade, with several speciation events coinciding with either Andean uplift events or the land bridge formation. These results indicate how major geologic events affected the diversification of this group of birds, and lead to a broader understanding of the impact of these events on patterns of speciation in New World birds.


Since breaking off from the Gondwanan supercontinent 140–160 mya (Jokat et al. 2003, Upchurch 2008), South America has undergone several major geologic events that have helped define the diversity of the continent's biota. Speciation and diversification patterns in New World birds have historically been the foci of many studies (Wallace 1889, Chapman 1917, Chesser 2004), which is largely attributable to the high concentration of species in the area (~35% of all bird species are endemic to the Neotropics). Because of their diversity and geographic range, birds are excellent organisms for studying how major New World geologic events have influenced regional diversification patterns. Two events that have particularly affected New World avian diversity are Andean uplift and the formation of the Panamanian land bridge.

Andean uplift had a dramatic impact on South American geology, climate, and biogeography. Uplift in the South and Central Andes began >60 mya, with more recent uplift in the north. By 25 mya the Western Cordillera of the Central Andes was at 50% of its current elevation, but underwent a drastic increase in elevation (2,000–3,500 m) between 6 and 10 mya (Gregory-Wodzicki 2000, Garzione et al. 2008), although Garzione et al. (2014) presented evidence for two separate rapid uplift events (13–16 mya and 9–13 mya). The uplift of the Eastern Cordillera of the Northern Andes occurred more recently, with evidence of a rapid elevation increase between 2.5 and 7.0 mya (Hoorn et al. 1995, 2010). These gradual and rapid uplift events, coupled with resulting changes in weather, climate, and ecology, most likely had an incredible impact on avian diversification patterns and rates throughout the continent (Fjeldsa 1994). Many consider Andean uplift a key factor contributing to the patterns of speciation that underlie the current avifaunal diversity of the region (Vuilleumier 1969, Cracraft and Prum 1988, Bates et al. 1998, Cheviron et al. 2005, Fjeldsa and Rahbek 2006, Fjeldsa and Irestedt 2009, Quintero et al. 2012).

The dry Puna grasslands of the Central Andes' Altiplano Plateau are an example of novel habitat formed as a direct result of Andean uplift. As the Andes gradually increased in elevation, the Altiplano Plateau became separated from the surrounding lowlands, and was probably isolated ~15 mya. The plateau was at 50% of its current elevation 10 mya, and reached its current elevation of 3,200–3,700 m following a recent, rapid uplift (Vandervoort et al. 1995, Gregory-Wodzicki 2000, Hoke and Garzione 2008). Between 10 and 15 mya, climate changes in the Central Andes resulted in a drier and cooler environment, which directly altered the biota of the Puna grasslands (Simpson 1975, Ehlers and Poulsen 2009). High elevation and extreme climatic conditions created a unique, isolated environment to which specific flora and fauna adapted (Szumik et al. 2012). Avian taxa in the region would have become isolated from taxa in surrounding areas, perhaps specifically from the southern open lowlands (Fjeldsa et al. 2012). This isolation probably contributed to the currently low species overlap between the Puna–Altiplano and adjacent lowland and cloud forest habitats (Lloyd and Marsden 2008, Lloyd et al. 2010).

A second major geologic event that had a great impact on New World biogeography was the formation of the Panamanian land bridge, which occurred ~2.5–3.2 mya (Keigwin 1978, Coates et al. 1992, Coates and Obando 1996, Wegner et al. 2010, Leigh et al. 2013), although earlier formation has been proposed more recently (Farris et al. 2011, Montes et al. 2012, Bacon et al. 2013). Before this terrestrial connection between North and South America, faunas endemic to these two continents were separated by water. With the formation of the land bridge, flora and fauna could move freely between continents, which some have dubbed the “Great American Interchange” (Simpson 1950, 1980, Stehli and Webb 1985). Mammalian fossil records from both continents indicate dispersal events close to the time of land bridge formation, with species moving between the two continents (Marshall 1988, Stehli and Webb 1985). Due to their ability to fly, avian dispersal between continents was sometimes suggested to be uninhibited by the water barrier that existed prior to land bridge formation (Voelker 1999, Lomolino et al. 2006), and the sparse avian fossil record has made it difficult to prove otherwise (Vuilleumier 1985). However, several historical biogeographic reconstructions of Neotropical and Nearctic bird species based on molecular data have indicated that many species were hindered from dispersing between continents due to the water barrier (Barker 2007, Burns and Racicot 2009, Sedano and Burns 2010, Johnson and Weckstein 2011, Pulgarin-R et al. 2013). Instead, the timing of dispersal events appears similar to that of mammals, soon after land bridge formation (Smith and Klicka 2010). Also, there are more instances of North American species successfully dispersing into South America than vice versa, perhaps because a transition from a Nearctic to a Neotropical climate is easier than the reverse (Smith and Klicka 2010).

To understand the impact of these two major New World geologic events on avian evolutionary history, an ideal study group would be one having representatives in both North and South America, as well as in lowland and Andean zones. One such group is the small New World ground dove clade (Aves: Columbidae). This group of 17 species and 45 subspecies contains the genera Metriopelia, Claravis, Uropelia, and Columbina. Two species have often been placed within a fifth genus, Scardafella (e.g., Goodwin 1983, del Hoyo et al. 1997, Gibbs et al. 2001), but are otherwise included within Columbina (American Ornithologists' Union 1998). Two of the 17 species have not been detected recently (Columbina cyanopis and Claravis godefrida) and may be extinct. The overall geographic range of this group covers the southern United States, Central America (including the Caribbean Islands), and most of South America. Several phylogenies have indicated that this group forms a monophyletic clade, although the placement of the clade within Columbidae is still unclear. Some phylogenies have placed the small New World ground doves as sister to the rest of the family (Johnson and Clayton 2000, Johnson 2004, Johnson et al. 2010), but other work has placed the group as nested within the family (Shapiro et al. 2002, Pereira et al. 2007, Gibb and Penny 2010). Relationships among the species within this clade, however, have yet to be addressed in detail. Furthermore, given the widespread distribution of this clade throughout Central and South America, this group could provide great insight into how past geologic events in this region have influenced current biological patterns of distribution and speciation. Here, we reconstruct the phylogeny of the small New World ground dove clade based on several gene regions. We then use this phylogeny in a molecular dating analysis to evaluate the effects of Andean uplift and the appearance of the Panamanian land bridge on the timing of divergence in this group. If Andean uplift events did not have a major effect on the speciation patterns of these clades, then our estimated timing of relevant speciation events would not be expected to correlate with the timing of these events. In particular, we would not expect high-Andean species nor sister taxa currently separated by the Andean range to have divergence estimates correlated with Andean uplift events. Similarly, if land bridge formation did not have a significant effect on the speciation patterns of small New World ground doves, then our results would not be expected to indicate dispersal events consistent with the timing of land bridge formation. More specifically, we would expect the discovery of dispersal events occurring before the estimated formation of the land bridge.


DNA Sequencing

Using a Qiagen Blood and Tissue Kit (Qiagen, Valencia, California, USA; catalogue # 69506), we extracted DNA from tissues and feather samples of 15 extant species of the small New World ground dove clade, including 16 subspecies from 10 species, for a total of 26 in-group samples (Table 1). The remaining 10 samples were either from monotypic species or were duplicate samples of a subspecies. Using PCR (polymerase chain reaction), we amplified portions of 4 mitochondrial loci—cytochrome b (Cytb), NADH dehydrogenase subunit 2 (ND2), cytochrome oxidase subunit 1 (CO1), and ATP synthase 8 (ATP8)—and 1 nuclear locus, beta-fibrinogen intron (FIB7), which have been used successfully in previous studies of the phylogeny of Columbiformes (Johnson and Clayton 2000, Johnson et al. 2001, Periera et al. 2007). For Cytb we used the primers L14841 and H4a to amplify the gene, along with the sequencing primers L15517 and H15299 (Kocher et al. 1989, Harshman 1996). To amplify ND2 we used the primers L5215 and H6313 (Johnson and Sorenson 1998), and used L5758s and H5766s (Price et al. 2004) internally for sequencing. To amplify and sequence CO1 we used the primers L6625 and H7005 (Hafner et al. 1994). To amplify and sequence ATP8 we used the primers CO2GQL and A6MNH (Lovette et al. 1998). We amplified the nuclear intron FIB7 with the primers FIBB17U and FIBB17L (Prychitko and Moore 1997) and the internal sequencing primers FIBDOVEF and FIBDOVER (Johnson and Clayton 2000). We amplified selected loci using PCR according to previously used protocols for each locus (Johnson 2004, Pereira et al. 2007). Resulting amplified products were purified with a Qiagen PCR Purification Kit (catalogue # 28106) and sequenced using ABI Prism BigDye Terminators (Applied Biosystems, Foster City, California, USA) and Sanger DNA sequencing on an AB 3730xl DNA Analyzer (Applied Biosystems, Foster City, California, USA) at the University of Illinois Roy J. Carver Biotechnology Center, Champaign, Illinois, USA. We reconciled resulting complementary chromatograms and trimmed primer sequences by eye using Sequencher version 5.0.1 (Gene Codes, Ann Arbor, Michigan, USA). For out-groups, we selected representatives outside the New World ground dove clade from 2 genera in each of 5 monophyletic clades within Columbidae identified in Pereira et al. (2007), using previously published sequences (Table 1). In one case we were unable to amplify and sequence a gene for one extract, and this was coded as missing data.


Samples included in our study of small New World ground dove phylogeny. GenBank accession numbers are indicated for the 4 mitochondrial loci—cytochrome b (Cytb), NADH dehydrogenase subunit 2 (ND2), cytochrome oxidase subunit 1 (CO1), and ATP synthase 8 (ATP8)—and 1 nuclear locus, beta-fibrinogen intron (FIB7), that we sequenced. Voucher indicates location and museum accession number of each sample. Locality is the collection location.


Phylogenetic Analysis

We aligned the edited sequences for each of the five loci using the default gap opening and gap extend parameters in program MUSCLE (Edgar 2004), and checked each alignment by eye using SeaView version 4 (Gouy et al. 2010). To check for major discordance between individual gene trees, we created neighbor-joining and majority-rule maximum parsimony trees (100 random sampling replicates, tree bisection and reconnection [TBR] branch swapping, 100 bootstrap replicates) for each gene alignment in program PAUP* (Swofford 2003). Since these gene trees did not have any nodes that strongly conflicted in bootstrap support (>75%), we concatenated the data using SeaView version 4. We also computed the pairwise distance values for the mitochondrial data using PAUP* ( Supplementary Material Table S1).

Using the concatenated dataset, we performed Bayesian and Maximum Likelihood (ML) analyses using mixed models. We determined the appropriate substitution model for each gene partition by calculating AIC (Akaike's Information Criterion; Akaike 1974) values for 88 different models in program jModelTest2 (Darriba et al. 2012). Based on the AIC results, we applied a general time reversible model with a proportion of invariant sites and a four-category gamma distribution (GTR + I + G model) to the mitochondrial loci (CO1, Cytb, ND2, ATP8), and a GTR + G model to the nuclear locus (FIB7).

We performed our ML analysis on the concatenated dataset using program GARLI 2.0 (Zwickl 2006), applying the appropriate models for each gene partition and running 500 bootstrap replicates. We obtained a 50% majority-rule consensus tree from the bootstrap replicates using program SumTrees version 1.0.2 (Sukumaran and Holder 2008), and edited the resulting tree in FigTree version 1.4 (Rambault 2012). We also created a concatenated dataset of the four mitochondrial loci in order to compare the resulting tree with the tree for the full dataset. We generated the mitochondrial tree in GARLI 2.0 using the same methods as for the full dataset.

For the Bayesian analysis, we used program MrBayes version 3.2 (Ronquist and Huelsenbeck 2003). As with the ML analysis, we used a mixed-model analysis and assigned appropriate models to the gene partitions based on the AIC results. We ran 4 runs with 4 chains for 20 million generations under MCMC (Markov chain Monte Carlo) sampling every 1,000 trees, and viewed the trace files in program Tracer version 1.4 (Rambaut et al. 2007) to ensure chain mixture and stationarity of the MCMC data. Based on the trace files, we discarded the first 2 million generations (10%) as burn-in and edited the resulting 50% majority-rule consensus tree in FigTree version 1.4 (Rambaut 2012).

Divergence Time Estimation

In order to estimate divergence times, we created a chronogram using program BEAST version 1.7.5 (Drummond et al. 2012). We partitioned the data into mitochondrial and nuclear loci, and applied a strict molecular clock estimate of 1.96 ± 0.10% myr−1 divergence between two taxa (i.e. 0.0098 ± 0.0005 substitutions−1 site−1 lineage−1 myr−1) under a normal distribution for the mitochondrial partition and a Yule speciation process model. This estimate was based on Weir and Schluter (2008), who showed that a molecular clock of 2% myr−1 accumulated pairwise divergence between lineages could be used for dating avian phylogenies. Several avian phylogenetic studies have used this estimate to infer seemingly accurate divergence estimates (Milá et al. 2009, Qu et al. 2010, Sedano and Burns 2010). In particular, Weir and Schluter (2008) determined an average rate of pairwise divergence between two taxa at 1.96 ± 0.10% myr−1 for Columbiformes. We ran our MCMC runs for 20 million generations in program BEAST, sampling every 1,000 trees, and discarding the first 2 million (10%) generations as burn-in based on the trace plot in Tracer version 1.4.

Biogeographic Analysis

Since one of our main historical biogeographic questions centered on the formation of the Panamanian land bridge, we reconstructed ancestral geographic ranges with a focus on whether particular species in the clade are currently found in North or South America. We primarily used both parsimony reconstruction and likelihood character mapping over the tree created using program BEAST, since our focus was on the dispersal events between North and South America after the formation of the Panamanian land bridge, rather than vicariance events. In this biogeographic scenario, methods such as dispersal-vicariance analysis (DIVA) that assume vicariance as the null model are inappropriate. Such models are biased toward vicariance events, and could therefore incorrectly attribute a speciation event to vicariance rather than to dispersal (see Johnson and Weckstein 2011 and Bess et al. 2014 for further rationale). In this case, North America and South America came into contact, rather than separating from each other, so scenarios that posit vicariance are not biogeographically plausible. For the parsimony analysis, we coded each species as 1 of 2 character states: having a primarily North American range, or having a primarily South American range. Species that are widespread on both continents were given a polymorphic character state. For the likelihood analysis, we coded species with ranges spanning both continents as having a third character state, rather than being polymorphic (because current implementations of these maximum-likelihood reconstructions do not allow for more than two character states). We implemented the character reconstruction and mapping in Mesquite version 2.75 (Maddison and Maddison 2011). For the purpose of comparison, we analyzed our data using methods in which vicariance was the null model, such as S-DIVA (Yu et al. 2010) and Bayesian binary MCMC (BBM) as implemented in program RASP version 2.1b (Yu et al. 2013), as well as using the dispersal-extinction-cladogenesis (DEC) model in program Lagrange (Ree and Smith 2008). All three analyses used the same geographic coding as described above in our parsimony reconstruction analysis. For the BBM model, we ran the MCMC for 5 million generations, sampling every 1,000 trees, and discarded the first 500 trees (10%) as burn-in.


Phylogenetic Analysis

The final program MUSCLE–generated alignment of the concatenated dataset was 4,018 characters, with a >95% complete matrix (only ~5% gaps or missing data). Many of the gaps came as a result of a large (665 base pairs) insertion or deletion (indel) in the FIB7 gene for both Claravis pretiosa specimens. Both the ML and Bayesian analyses generated similar trees (Figure 1), with support for the Bayesian analysis reaching stationarity, convergence based on the trace plots, and effective sample sizes >200 for all parameters. In addition, the ML mitochondrial tree generated in program GARLI did not have any major conflicting nodes (<75% bootstrap) with the fully concatenated tree. The concordant gene trees, mitochondrial and full trees, and ML and Bayesian trees support our decision to concatenate our data, and give credence to the robustness of subsequent results. The majority of in-group nodes (19/23) received high support (>90 bootstrap and >0.95 posterior probability) from both methods. There was modest support (67 bootstrap, 0.92 posterior probability) for the clade comprising Claravis mondetoura, Metriopelia, and Columbina. However, a clade comprising Claravis mondetoura, Metriopelia, Columbina, and Uropelia, to the exclusion of Claravis pretiosa, was highly supported (100 bootstrap, 1.00 posterior probability). The program BEAST–generated tree placed Claravis mondetoura as sister to Metriopelia, but with low posterior probability (<0.70). These results indicate that the genus Claravis is paraphyletic. All trees placed Claravis pretiosa as sister to all other small New World ground doves. The monotypic genus Uropelia also appeared to be highly divergent from other taxa, being placed as sister to the rest of the group excluding Claravis pretiosa. This placement of Uropelia and Claravis pretiosa is consistent with past phylogenies constructed with fewer species represented (Johnson and Clayton 2000, Pereira et al. 2007).


Maximum Likelihood and Bayesian tree of small New World ground doves. Support values are indicated at each node, with bootstrap values appearing first, followed by posterior probability values. Dashes indicate that the particular node was not recovered in the appropriate analysis. Scale bar indicates nucleotide substitutions per site. Numbers associated with each taxon name are museum voucher numbers, and are indicated in Table 1. The letter code at the end of each taxon name indicates the country of origin of the sample, as follows: ARG = Argentina, BAH = Bahamas, BOL = Bolivia, BRA = Brazil, CAP = captive, CR = Costa Rica, ECU = Ecuador, GUY = Guyana, MEX = Mexico, PAR = Paraguay, PER = Peru, USA = United States, and VEN = Venezuela.


Divergence Time Estimation

Program BEAST produced a chronogram consistent with the program GARLI and MrBayes analyses, with support for convergence based on the trace files. The only major difference between the tree generated in program BEAST and the ML- and Bayesian-generated trees was the placement of Claravis mondetoura as sister to Metriopelia (Figure 2). Based on the 95% credibility intervals, the small New World ground dove clade diverged from other pigeons and doves ~19–26 mya and began to radiate ~13–18 mya. Some species have diverged from each other quite recently, e.g., Columbina squammata and C. inca (<2.5 mya), and C. talpacoti, C. buckleyi, and C. minuta (<2 mya). Metriopelia and Columbina diverged from each other ~11–14 mya, with divergences within Metriopelia beginning ~9 mya and within Columbina beginning ~7.5 mya. The divergence dates that we estimated are considerably more recent than the estimates of Pereira et al. (2007), who reported a divergence time of >50 mya for the small New World ground dove clade, with divergences within the clade beginning >30 mya. However, Pereira et al. (2007) used several external calibrations on deep and highly divergent nodes and an internal minimum age constraint based on the oldest Columbiformes fossil for divergence estimates. Using solely external calibrations on such deep nodes can be misleading (Ho et al. 2008).


Chronogram generated by BEAST version 1.7.4 (Drummond et al. 2012) and biogeographic reconstruction of small New World ground doves. Time along the bottom axis is listed in millions of years before present, and blue error bars over each node indicate the 95% credibility intervals of the node age estimates. Colored branches of the in-group indicate results of the parsimony biogeographic reconstruction, and the pie charts over each node indicate the likelihood that a region is the ancestral area for that particular clade. Values to the upper-left of each pie chart are the proportional likelihoods for the most likely ancestral area at each respective node. Likelihoods of >0.99 for a particular area at a node are not indicated. Color indication for each region is as follows: green = South America, blue = North America, yellow = widespread on both continents. The map indicates the overall distribution of the small New World ground dove clade in relation to the geographic regions under consideration. Columns indicate the approximate estimated timing for three major geologic events. The blue column indicates the approximate timing of the rapid elevation increase in the central Andean plateau, the red column indicates the approximate rapid elevation increase in the Northern Andes, and the green column indicates the approximate estimate for the Panamanian Land Bridge formation. Scale bar indicates nucleotide substitutions per site. Country codes are as in Figure 1.


Biogeographic Analysis

Both parsimony and likelihood reconstructions of historical biogeographic regions indicated an ancestral origin in South America for the small New World ground dove clade, with multiple colonization events of North America (Figure 2). All of these colonization events were inferred to have occurred after ~2 mya. As expected, the ancestral area reconstructions implemented in programs S-DIVA and Lagrange seemed to be biased toward vicariance events, and produced results that are unlikely. For example, while both analyses estimated a South American origin for the clade, both estimated the ancestor of Columbina inca and C. squammata as being widespread in both North and South America, and indicated a subsequent separation by vicariance. This is in contrast to the parsimony and likelihood character reconstructions, which estimated the ancestor of C. inca and C. squammata as present in South America, with subsequent dispersal into North America. The BBM model estimated an identical scenario, as the results from the MCMC chain produced posterior probabilities nearly identical to the likelihood values at each node over the entire tree (likelihood values recorded as pie charts over each node in Figure 2).


Phylogenetic Relationships of Small New World Ground Doves

Phylogenetic relationships among small New World ground doves based on nuclear and mitochondrial gene regions, with comprehensive species-level sampling, are generally well-resolved and well-supported. This tree is broadly in agreement with previous, less exhaustive phylogenetic analyses that included some members of this clade (Johnson et al. 2001, Shapiro et al. 2002, Pereira et al. 2007); however, some important novel results emerged from our comprehensive analysis. Similarly to prior results, we estimated Claravis pretiosa as sister to the rest of the clade, with Uropelia estimated as sister to Metriopelia plus Columbina (Table 1). Both Metriopelia and Columbina were estimated as monophyletic with high support (100 bootstrap, 1.0 posterior probability). The molecular tree also placed Columbina inca and C. squammata within Columbina. These two species are often placed in a separate genus (Goodwin 1983, del Hoyo et al. 1997, Gibbs et al. 2001), Scardafella, but the American Ornithologists' Union recognizes them as members of Columbina (Lack 2003, American Ornithologists' Union 1998). Since the clade is nested within Columbina based on comprehensive sampling, this provides further support for the inclusion of this clade within the genus. Recognizing these species as a separate genus (Scardafella) would render Columbina paraphyletic.

We also found that some species very recently diverged from each other. The divergence among Columbina talpacoti, C. buckleyi, and C. minuta was relatively recent (1–2 mya). Although the ranges of C. buckleyi and C. minuta overlap to some degree, the ranges of C. buckleyi and C. talpacoti do not tend to overlap. C. buckleyi has a limited range along coastal Ecuador and Peru, while C. talpacoti has a more widespread range, but is found east of the Andes and in Central America (IUCN 2014). While the estimation of C. buckleyi and C. talpacoti as allopatric sister species is consistent with previous work (Gibbs et al. 2001), this very recent divergence seems inconsistent with theories on separation by the Andean uplift (see discussion below), and indicates a more recent separation event.

Finally, and perhaps most surprisingly, our phylogeny indicated that the genus Claravis is paraphyletic. While the placement of Claravis pretiosa is consistent with previous work (as sister to the rest of the clade), C. mondetoura was estimated together in a clade with Uropelia, Metriopelia, and Columbina. While the exact placement of C. mondetoura within this clade is uncertain, the exclusion of Claravis pretiosa, and thus the paraphyly of the genus Claravis, is very highly supported (100 bootstrap, 1.0 posterior probability). Members of the genus Claravis are unique among small New World ground doves in that males have mostly blue-gray plumage coloration. Females, however, are brownish, similar to most other small New World ground doves. It may be that having blue-colored males was the ancestral condition in this clade and that this trait was later lost in other lineages, with males evolving a more similar plumage coloration to females. Another genus of New World dove, Geotrygon, has also been shown to be paraphyletic, despite strong morphological similarities (Johnson and Weckstein 2011, Banks et al. 2013). Therefore, such a finding is not unprecedented among pigeons and doves.

Divergence Time Estimation with Respect to Major Geologic Events

Andean uplift

Since the small New World ground dove clade is widespread throughout South America, the effect of Andean uplift on the radiation of this group is expected to have been pronounced. There are three clades that are of particular interest: the genus Metriopelia, the Columbina cruzianaC. picui clade, and the Columbina talpacotiC. buckleyi clade. Species in Metriopelia are found in the Puna grasslands of the high Andes. Columbina cruziana is found on the coasts of western Peru and Ecuador, while C. picui is primarily found in the lowland semiarid scrub and grasslands east of the Andes, though it does also occur in the lowlands of southern Chile. Columbina buckleyi and C. talpacoti show a similar geographic structure, with C. buckleyi found exclusively on the Ecuadorian and northern Peruvian coasts west of the Andes, and C. talpacoti found throughout the Amazonian lowlands and Central America.

Metriopelia is estimated to have diverged from its ground-dove ancestor ~11–14 mya. This estimate is somewhat consistent with the timing of the uplift of the Central Andes—the current range of species within the genus—reaching >50% of current elevation (Gregory-Wodzicki 2000). This divergence time estimation could also coincide with the ecological and geographical isolation of the Puna grasslands—the primary habitat for birds in this genus—due to geographic and climatic changes. Vandervoort et al. (1995) and Gregory-Wodziki (2000) present data indicating that internal draining for the region was established ~15 mya, indicating isolation from the surrounding lowlands. There is also indication of a climatic shift to a much drier environment. Most of the speciation events within Metriopelia do not appear to occur until much later, however. This diversification coincides with the traditional estimate of the timing of rapid elevation increase in the Altiplano plateau and Eastern Cordillera within the last 10 myr. Garzione et al. (2008) estimated that the central Andean plateau rose from ~2,000 m to the current ~4,000 m between 6.5 and 10.0 mya. Alternatively, the patterns seen in Metriopelia could be consistent with more recent estimates of rapid elevational uplift in the Puna–Altiplano region (Garzione et al. 2014). In this scenario, the initial divergence of the group was perhaps initiated by a rapid uplift of ~1,900 km and subsequent climatic changes between 13 and 16 mya, rather than as a result of climatic changes over a more gradual uplift period. Similarly, the later increase in speciation events within the genus could be related to the second rapid uplift event of ~700 m between 9 and 13 mya. While it is difficult to form strong conclusions about the effect of Andean uplift on this genus—primarily because both the group's diversification and the uplift events occurred over a long period of time—there are nonetheless indications that diversification in the genus coincided with a rapid increase (or increases) in Andean elevation. A similar pattern of increased diversification associated with rapid elevation increase has been documented in tanagers endemic to the Northern Andes (Sedano and Burns 2010).

Columbina cruziana and C. picui were estimated as sister species, but their geographic ranges are separated by the Andes. Thus, it might be expected for these species to have diverged around the time of Andean uplift; however, divergence time estimation indicated that these taxa diverged 3–7 mya, which is significantly more recent than the divergence time estimate of Metriopelia and therefore the southern–central Andean uplift. In this case, however, C. cruziana and C. picui are separated by the northern range of the Andes, which is estimated to have formed 2.5–10.0 mya. By 2.5–7.0 mya, coastal Peru would have been cut off from the Amazonian lowlands to the east by the rise of the Eastern Cordillera of Colombia. This event coincides with the divergence time estimate for C. cruziana and C. picui, and strongly suggests northern Andean uplift as the cause of vicariance and subsequent divergence. The geographic range of C. picui does extend to the western side of the Andes in central Chile, but does not extend farther north than the Atacama Desert. A large body of research indicates that the Atacama underwent a rapid increase in aridity ~6 mya, and subsequently developed toward its current extreme conditions (Hartley and Chong 2002). The timing of this environmental change coincides with the development of the Northern Andes and rapid elevation increase in the Central Andes, probably due to the climatic changes associated with western South America being closed off to the rest of the continent by the entirety of the Andes mountain range (Hartley 2003). The timing also coincides with the estimated C. cruzianaC. picui divergence time. This could indicate that the speciation event was the direct result of a north–south divergence due to the formation of the Atacama, an east–west divergence due to the rapid elevation increase in the Northern Andes, or a combination of both geologic events. In other words, C. cruziana could have been isolated by both the Andes to the east and the Atacama Desert to the south. Other research has indicated that the Atacama formed much earlier, reaching a point of extreme aridity ~14 mya (Houston and Hartley 2003, Dunai et al. 2005). If this were the case, the C. cruzianaC. picui ancestor would have already been hindered from spreading north along the Chilean Pacific Coast by ~14 mya, and the subsequent speciation event would be more directly attributable to the rise of the Northern Andes.

The sister species Columbina talpacoti and C. buckleyi show a similar distributional pattern to C. cruziana and C. picui, but are estimated to have diverged more recently (<1 mya, and probably <50 kya); this divergence does not coincide with major Andean uplift events. The mitochondrial uncorrected pairwise distance between the two species is also relatively small (0.3–0.8%), consistent with a very recent speciation event. This pattern of closely related species on either side of the Andes has been documented in several other cases of birds (Brumfield and Capparella 1996, Miller et al. 2008, Weir and Price 2011, Lougheed et al. 2013). Some of these instances were shown to be the probable result of trans-Andean gene flow (Miller et al. 2008), but this seems unlikely with ground doves given their poor long-distance flight ability. Dispersal of the ancestors of this group over the Andes seems unlikely. Another possibility is that the ancestor of C. talpacoti and C. buckleyi was distributed across the Northern Andes throughout forested glacial refugia (Haffer 1969). These corridors would have provided suitable habitat for dispersing around the Northern Andes, thereby allowing for a continuous distribution on both sides of the Andes. It seems plausible that, when these corridors disappeared with the glacial retreat of the Pleistocene, patches of habitat (and presumably representatives of the C. talpoacotiC. buckleyi ancestor) remained isolated on either side of the range, leading to a speciation event.

Panamanian land bridge formation

In many cases, the focus of biogeographic studies is on vicariance events, the separation of two previously connected areas (Bauzà-Ribot et al. 2012, Maderspacher 2012, Phillips et al. 2013). However, North and South America represent a case of two continents connecting after millennia of separation. We therefore modeled our biogeographic comparison under the assumption of dispersal (Christenhusz and Chase 2013), and estimated the origin and direction of dispersal of small New World ground doves, which now occur on both continents. Our results indicated several dispersal events into North America from South America, and the timing of the colonization events appeared to coincide with the Panamanian land bridge formation (Figure 2). Both the parsimony and the maximum likelihood biogeographic reconstructions estimated only South to North America dispersal events. Likewise, the posterior probabilities at this node from the MCMC chain of the BBM model were very similar to the likelihood values from the ML character reconstruction. The BBM results indicated that the ML results were robust to our use of a third character state (present in both North and South America) rather than use of a polymorphic character state (present in North America and present in South America). Using a third character state instead of a polymorphic state is not ideal, but is required in current implementations of likelihood ancestral character reconstructions. Nevertheless, our BBM results—an ancestral area reconstruction model that allowed polymorphic states—indicated that our ML analysis produced consistent results.

Based on all three analyses, all South to North American dispersal events occurred after the formation of the land bridge. The lack of dispersal prior to land bridge existence is not surprising given the strong support for a South American origin of the small New World ground doves and the unlikely possibility of these ground doves flying across a significantly large water barrier. It is possible that the doves could have dispersed into North America by “island hopping” on small land masses thought to have existed between the two continents (Stehli and Webb 1985, DaCosta and Klicka 2008), as C. passerina seems to have done in colonizing Caribbean islands, but our results strongly suggest otherwise. Of particular significance are the sister taxa Columbina squammata and C. inca. Although the geographic reconstruction estimates their ancestor as a South American species, the current range of C. inca is exclusively in North America, while C. squammata is a South American species. Their estimated divergence time is ~2.0–2.5 mya, which indicates a dispersal and speciation event shortly after the land bridge formed. Species that currently are distributed across both continents are reconstructed as having originated in South America, with recent range expansion into North America. This pattern is interesting in that it is a reversal of the general trend in other systems (Smith and Klicka 2010), where lineages with a South American origin tend not to disperse into North America.


Through sampling representatives of each extant species of small New World ground dove, we were able to reconstruct a fairly well-resolved and well-supported phylogeny of this group. More importantly, we were able to use a dated phylogeny to understand the timing of diversification in this group as it relates to historic biogeographic events. Due to their ranges throughout the New World, we were able to test hypotheses regarding the effects of Andean uplift and formation of the Panamanian land bridge. If neither Andean uplift nor land bridge formation had had a major effect on New World ground dove speciation patterns, we would have expected the estimated divergence times and ancestral area reconstructions among relevant species to not coincide with either of these geologic events. In particular, we would not have expected the divergence time estimates of relevant clades (e.g., sister taxa separated by the Andes) to coincide with Andean uplift events. Furthermore, we would not have expected the timing of dispersal events between North and South America to coincide with the land bridge closure. However, our results in this study support several divergence time estimates that are consistent with Andean uplift events, as well as biogeographic reconstructions consistent with dispersal events from South to North America occurring near or after Panamanian land bridge formation. These results suggest that Andean uplift and the formation of the Panamanian land bridge were important events in the evolutionary history of small New World ground doves, and provide further insight into how these events contributed to the diversification of New World birds.


We would like to thank J. Nowak for aid in obtaining sequence data. We also thank J. Allen, T. Catanach, and S. Cameron for providing suggestions and feedback on the analysis. We thank the following institutions and individuals for providing tissue samples: American Museum of Natural History, Field Museum of Natural History, Kansas University Museum of Natural History Survey, Louisiana State University Museum of Natural Science, Philadelphia Academy of Natural Sciences, U.S. National Museum of Natural History, K. McCracken, and R. Wilson.

Funding statement. This research was supported by NSF grants DEB-1050706, DEB-1239788, and DEB-1342604 to KPJ. None of the funders had any influence on the content of the submitted manuscript. None of the funders required approval of the final manuscript before publication.


  1. H Akaike (1974). A new look at the statistical model identification. IEEE Transactions 19:716–723. Google Scholar
  2. American Ornithologists' Union (1998). Check-list of North American birds, seventh edition. American Ornithologists' Union, Washington, D.C., USA. Google Scholar
  3. C. D Bacon A Mora W. L Wagnerand C. A Jaramilo (2013). Testing geological models of evolution of the Isthmus of Panama in a phylogenetic framework. Botanical Journal of the Linnean Society 171:287–300. Google Scholar
  4. R. C Banks J. D Weckstein J. V Remsenand K. P Johnson (2013). Classification of a clade of New World doves (Columbidae: Zenaidini). Zootaxa 3669:184–188. Google Scholar
  5. F. K Barker (2007). Avifaunal interchange across the Panamanian Isthmus: Insights from Campylorhynchus wrens. Biological Journal of the Linnean Society 90:687–702. Google Scholar
  6. J. M Bates S. J Hackettand J Cracraft (1998). Area-relationships in the Neotropical lowlands: An hypothesis based on raw distributions of passerine birds. Journal of Biogeography 25:783–793. Google Scholar
  7. M. M Bauzà-Ribot C Juan F Nardi P Oromí J Ponsand D Jaume (2012). Mitogenomic phylogenetic analysis supports continental-scale vicariance in subterranean thalassoid crustaceans. Current Biology 22:2069–2074. Google Scholar
  8. E. C Bess T. A Catanachand K. P Johnson (2014). The importance of molecular dating analyses for inferring Hawaiian biogeographical history: A case study with bark lice (Psocidae: Ptycta). Journal of Biogeography 4:158–167. Google Scholar
  9. R. T Brumfieldand A. P Capparella (1996). Historical diversification of birds in northwest South America: A molecular perspective on the role of vicariant events. Evolution 50:1607–1624. Google Scholar
  10. K. J Burnsand R. A Racicot (2009). Molecular phylogenetics of a clade of lowland tanagers: Implications for avian participation in the Great American Interchange. The Auk 126:635–648. Google Scholar
  11. F. M Chapman (1917). The distribution of bird-life in Colombia. Bulletin of the American Museum of Natural History 36:1–729. Google Scholar
  12. R. T Chesser (2004). Molecular systematics of New World suboscine birds. Molecular Phylogenetics and Evolution 32:11–24. Google Scholar
  13. Z. A Cheviron S. J Hackettand A. P Capparella (2005). Complex evolutionary history of a Neotropical lowland forest bird (Lepidothrix coronata) and its implications for historical hypotheses of the origin of Neotropical avian diversity. Molecular Phylogenetics and Evolution 36:338–357. Google Scholar
  14. M. J. M Christenhuszand M. W Chase (2013). Biogeographical patterns of plants in the Neotropics—Dispersal rather than plate tectonics is most explanatory. Botanical Journal of the Linnean Society 171:277–286. Google Scholar
  15. A. G Coatesand J. A Obando (1996). Evolution and environment in tropical America. In Evolution and Environment in Tropical America ( J. B. C Jackson A. F Buddand A. G Coates Editors), University of Chicago Press, Chicago, pp. 21–56. Google Scholar
  16. A. G Coates B. C Jackson L. S Collins T. M Cronin H. J Dowsett L. M Bybelland J. A Obando (1992). Closure of the Isthmus of Panama: The near-shore marine record of Costa Rica and western Panama. Geological Society of America Bulletin 104:814–828. Google Scholar
  17. J Cracraftand R. O Prum (1988). Patterns and processes of diversification: Speciation and historical congruence in some Neotropical birds. Evolution 42:603–620. Google Scholar
  18. J. M DaCostaand J Klicka (2008). The Great American Interchange in birds: A phylogenetic perspective with the genus Trogon. Molecular Ecology 17:1328–1343. Google Scholar
  19. D Darriba G. L Taboada R Doalloand D Posada (2012). jModelTest 2: More models, new heuristics and parallel computing. Nature Methods 9:772. Google Scholar
  20. J del Hoyo A Elliottand W Boles (1997). Handbook of the Birds of the World. Volume 4: Sandgrouse to Cuckoos. Lynx Edicions, Barcelona. Google Scholar
  21. A. J Drummond M. A Suchard D Xieand A Rambaut (2012). Bayesian phylogenetics with BEAUti and the BEAST 1.7. Molecular Biology and Evolution 29:1969–1973. Google Scholar
  22. T. J Dunai G. A González Lópezand J Juez-Larré (2005). Oligocene–Miocene age of aridity in the Atacama Desert revealed by exposure dating of erosion-sensitive landforms. Geology 33:321–324. Google Scholar
  23. R. C Edgar (2004). MUSCLE: Multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Research 32:1792–1797. Google Scholar
  24. T Ehlersand C. J Poulsen (2009). Influence of Andean uplift on climate and paleoaltimetry estimates. Earth and Planetary Science Letters 281:238–248. Google Scholar
  25. D. W Farris C Jaramillo G Bayona S. A Restrepo-Moreno C Montes A Cardona A Mora R. J Speakman M. D Glascockand V Valencia (2011). Fracturing of the Panamanian Isthmus during initial collision with South America. Geology 39:1007–1010. Google Scholar
  26. J Fjeldså (1994). Geographical patterns for relict and young species of birds in Africa and South America and implications for conservation priorities. Biodiversity and Conservation 3:207–226. Google Scholar
  27. J Fjeldsåand M Irestedt (2009). Diversification of the South American avifauna: Patterns and implications for conservation in the Andes. Annals of the Missouri Botanical Garden 96:398–409. Google Scholar
  28. J Fjeldsåand C Rahbek (2006). Diversification of tanagers, a species rich bird group, from lowlands to montane regions of South America. Integrative and Comparative Biology 46:72–81. Google Scholar
  29. J Fjeldså R. C. K Bowierand C Rahbek (2012). The role of mountain ranges in the diversification of birds. Annual Review of Ecology, Evolution, and Systematics 43:249–265. Google Scholar
  30. C. N Garzione D. J Auerbach J. J Smith J. J Rosario B. H Passey T. E Jordanand J. M Eiler (2014). Clumped isotope evidence for diachronous surface cooling of the Altiplano and pulsed surface uplift of the Central Andes. Earth and Planetary Science Letters 393:173–181. Google Scholar
  31. C. N Garzione G. D Hoke J. C Libarkin S Withers B MacFadden J Eiler P Ghoshand A Mulch (2008). Rise of the Andes. Science 320:1304–1307. Google Scholar
  32. G. C Gibband D Penny (2010). Two aspects along the continuum of pigeon evolution: A South-Pacific radiation and the relationship of pigeons within Neoaves. Molecular Phylogenetics and Evolution 56:698–706. Google Scholar
  33. D. E Gibbs E Coxand J Cox (2001). Pigeons and Doves: A Guide to the Pigeons and Doves of the World. Pica Press, London, UK. Google Scholar
  34. D Goodwin (1983). Pigeons and Doves of the World, third edition. Cornell University Press, Ithaca, NY, USA. Google Scholar
  35. M Gouy S Guindonand O Gascuel (2010). SeaView version 4: A multiplatform graphical user interface for sequence alignment and phylogenetic tree building. Molecular Biology and Evolution 27:221–224. Google Scholar
  36. K. M Gregory-Wodzicki (2000). Uplift history of the Central and Northern Andes: A review. Geological Society of America Bulletin 112:1091–1105. Google Scholar
  37. J Haffer (1969). Speciation in Amazonian forest birds. Science 165:131–137. Google Scholar
  38. M. S Hafner P. D Sudman F. X Villablanca T. A Spradling J. W Demastesand S. A Nadler (1994). Disparate rates of molecular evolution in cospeciating hosts and parasites. Science 265:1087–1090. Google Scholar
  39. J Harshman (1996). Phylogeny, evolutionary rates, and ducks. Ph.D. dissertation, University of Chicago, Chicago. Google Scholar
  40. A Hartley (2003). Andean uplift and climate change. Journal of the Geological Society 160:7–10. Google Scholar
  41. A. J Hartleyand G Chong (2002). Late Pliocene age for the Atacama Desert: Implications for the desertification of western South America. Geology 30:43–46. Google Scholar
  42. S. Y. W Ho U Saarma R Barnett J Haileand B Shapiro (2008). The effects of inappropriate calibration: Three case studies in molecular ecology. PLOS One 3:e1615. Google Scholar
  43. G. D Hokeand C. N Garzione (2008). Paleosurfaces, paleoelevation, and the mechanisms for the late Miocene topographic development of the Altiplano Plateau. Earth and Planetary Science Letters 271:192–201. Google Scholar
  44. C Hoorn J Guerrero G. A Sarmientoand M. A Lorente (1995). Andean tectonics as a cause for changing drainage patterns in Miocene northern South America. Geology 23:237–240. Google Scholar
  45. C Hoorn F. P Wesselingh H Steege M. A Bermudez A Mora J Sevink I Sanmartin C. L Anderson J. P Figueirdo C Jaramillo D Riff et al . (2010). Amazonia through time: Andean uplift, climate change, landscape evolution, and biodiversity. Science 330:927–931. Google Scholar
  46. J Houstonand A. J Hartley (2003). The central Andean west-slope rainshadow and its potential contribution to the origin of hyper-aridity in the Atacama Desert. International Journal of Climatology 23:1453–1464. Google Scholar
  47. IUCN (2014). IUCN Red List of Threatened Species, version 2014.2. Google Scholar
  48. K. P Johnson (2004). Deletion bias in avian introns over evolutionary timescales. Molecular Biology and Evolution 21:599–602. Google Scholar
  49. K. P Johnsonand D. H Clayton (2000). Nuclear and mitochondrial genes contain similar phylogenetic signal for pigeons and doves (Aves: Columbiformes). Molecular Phylogenetics and Evolution 14:141–151. Google Scholar
  50. K. P Johnsonand M. D Sorenson (1998). Comparing molecular evolution in two mitochondrial protein coding genes (cytochrome b and ND2) in the dabbling ducks (Tribe: Anatini). Molecular Phylogenetics and Evolution 10:82–94. Google Scholar
  51. K. P Johnsonand J. D Weckstein (2011). The Central American land bridge as an engine of diversification in New World doves. Journal of Biogeography 38:1069–1076. Google Scholar
  52. K. P Johnson D. H Clayton J. P Dumbacherand R. C Fleischer (2010). The flight of the Passenger Pigeon: Phylogenetics and biogeographic history of an extinct species. Molecular Phylogenetics and Evolution 57:455–458. Google Scholar
  53. K. P Johnson S de Kort K Dinwoodey A. C Mateman C. T Cate C. M Lessellsand D. H Clayton (2001). A molecular phylogeny of the dove genera Streptopelia and Columba. The Auk 118:874–887. Google Scholar
  54. W Jokat T Boebel M Königand U Meyer (2003). Timing and geometry of early Gondwana breakup. Journal of Geophysical Research 108:2428. doi: 10.1029/2002JB001802 Google Scholar
  55. L. D Keigwin (1978). Pliocene closing of the Isthmus of Panama, based on biostratigraphic evidence from nearby Pacific Ocean and Caribbean Sea cores. Geology 6:630–634. Google Scholar
  56. T. D Kocher W. K Thomas A Meyer S. V Edwards S Paabo F. X Villablancaand A. C Wilson (1989). Dynamics of mitochondrial DNA evolution in animals: Amplification and sequencing with conserved primers. Proceedings of the National Academy of Sciences USA 88:6196–6200. Google Scholar
  57. P Lack (2003). Pigeons and doves. In The New Encylopedia of Birds ( C Perrins Editor), Oxford University Press, Oxford, UK, pp. 288–295. Google Scholar
  58. G. E Leigh A O'Deaand G. J Vermeij (2013). Historical biogeography of the Isthmus of Panama. Biological Reviews 89:148–172. Google Scholar
  59. H Lloydand S. J Marsden (2008). Bird community variation across Polylepis woodland fragments and matrix habitats: Implications for biodiversity conservation within a high Andean landscape. Biodiversity and Conservation 17:2645–2660. Google Scholar
  60. H Lloyd S Sevillano Ríos, S. J Marsdenand A Valdés-Velásquez (2010). Bird community composition across an Andean tree-line ecotone. Austral Ecology 37:470–478. Google Scholar
  61. M. V Lomolino B. R Riddleand J. H Brown (2006). Biogeography. Sinauer Associates, Sunderland, MA, USA. Google Scholar
  62. S. C Lougheed L Campagna J. A Dávila P. L Tubaro D. A Lijtmaerand P Handford (2013). Continental phylogeography of an ecologically and morphologically diverse Neotropical songbird, Zonotrichia capensis. BMC Evolutionary Biology 13:58. Google Scholar
  63. I. J Lovette E Bermingham G Seutinand R. E Ricklefs (1998). Evolutionary differentiation in three endemic West Indian warblers. The Auk 115:890–903. Google Scholar
  64. W. P Maddisonand D. R Maddison (2011). Mesquite: A modular system for evolutionary analysis, version 2.75. Google Scholar
  65. F Maderspacher (2012). Evolution: Drift will tear us apart. Current Biology 22:R909–R912. Google Scholar
  66. L. G Marshall (1988). Land mammals and the Great American Interchange. American Scientist 76:380–388. Google Scholar
  67. B Milá R. K Wayne P Fitzeand T. B Smith (2009). Divergence with gene flow and fine-scale phylogeographical structure in the Wedge-billed Woodcreeper, Glyphorynchus spirurus, a Neotropical rainforest bird. Molecular Ecology 18:2979–2995. Google Scholar
  68. M. J Miller E Bermingham J Klicka P Escalante F. S R do Amaral, J. T Weirand K Winker (2008). Out of Amazonia again and again: Episodic crossing of the Andes promotes diversification in a lowland forest flycatcher. Proceedings of the Royal Society of London, Series B 275:1133–1142. Google Scholar
  69. C Montes A Cardona R McFadden S. E Moron C. A Silva S Restrepo-Moreno D. A Ramirez N Hoyos J Wilson G. A Bayona C. A Jaramillo et al . (2012). Evidence for middle Eocene and younger land emergence in central Panama: Implications for Isthmus closure. Geological Society of America Bulletin 124:780–799. Google Scholar
  70. S. L Pereira K. P Johnson D. H Claytonand A. J Baker (2007). Mitochondrial and nuclear DNA sequences support a Cretaceous origin of Columbiformes and a dispersal-driven radiation in the Paleocene. Systematic Biology 56:656–672. Google Scholar
  71. M. J Phillips T. J Page M de Bruyn J. A Huey W. F Humphreys J. M Hughes S. R Santos D. J Schmidtand J. M Waters (2013). The linking of plate tectonics and evolutionary divergence. Current Biology 23:R603–R605. Google Scholar
  72. J. J Price K. P Johnsonand D. H Clayton (2004). The evolution of echolocation in swiftlets. Journal of Avian Biology 35:135–143. Google Scholar
  73. T. M Prychitkoand W. S Moore (1997). Comparative evolution of the mitochondrial cytochrome b gene and nuclear-fibrinogen intron 7 in woodpeckers. Molecular Biology and Evolution 17:1101–1111. Google Scholar
  74. P. C Pulgarin-R B. T Smith R. W Bryson Jr G. M Spellmanand J Klicka (2013). Multilocus phylogeny and biogeography of the New World Pheiticus grosbeaks (Aves: Cardinalidae). Molecular Phylogenetics and Evolution 69:1222–1227. Google Scholar
  75. Y Qu F Lei R Zhangand X Lu (2010). Comparative phylogeography of five avian species: Implications for Pleistocene evolutionary history in the Qinghai-Tibetan plateau. Molecular Ecology 19:338–351. Google Scholar
  76. E Quintero C. C Ribasand J Cracraft (2012). The Andean Hapalopsittaca parrots (Psittacidae, Aves): An example of montane–tropical lowland vicariance. Zoologica Scripta 42:28–43. Google Scholar
  77. A Rambaut (2012). FigTree version 1.4. University of Edinburgh, Edinburgh, UK. Google Scholar
  78. A Rambaut M Suchardand A. J Drummond (2007). Tracer version 1.4. Google Scholar
  79. R. R Reeand S. A Smith (2008). Maximum likelihood inference of geographic range evolution by dispersal, local extinction, and cladogenesis. Systematic Biology 57:4–14. Google Scholar
  80. F Ronquistand J. P Huelsenbeck (2003). MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics 19:1572–1574. Google Scholar
  81. R. E Sedanoand K. J Burns (2010). Are the Northern Andes a species pump for Neotropical birds? Phylogenetics and biogeography of a clade of Neotropical tanagers (Aves: Thraupini). Journal of Biogeography 37:325–343. Google Scholar
  82. B Shapiro D Sibthorpe A Rambaut J Austin G. M Wragg O. R. P Bininda-Emonds P. L. M Leeand A Cooper (2002). Flight of the Dodo. Science 295:1683. Google Scholar
  83. B. B Simpson (1975). Pleistocene changes in the flora of the high tropical Andes. Paleobiology 1:273–294. Google Scholar
  84. G. G Simpson (1950). History of the fauna of Latin America. American Scientist 38:261–389. Google Scholar
  85. G. G Simpson (1980). Splendid Isolation: The Curious History of South American Mammals. Yale University Press, New Haven, CT, USA. Google Scholar
  86. B. T Smithand J Klicka (2010). The profound influence of the Late Pliocene Panamanian uplift on the exchange, diversification, and distribution of New World birds. Ecography 33:333–342. Google Scholar
  87. F. G Stehliand S. D Webb (1985). The Great American Biotic Interchange. Plenum Press, New York. Google Scholar
  88. J Sukumaranand M Holder (2008). SumTrees: Summarization of split support on phylogenetic trees version 1.0.2. Google Scholar
  89. D Swofford (2003). PAUP*: Phylogenetic Analysis Using Parsimony, version 4.0 b10. Sinauer Assusociates, Sunderland, MA, USA. Google Scholar
  90. C Szumik L Aagesen D Casagranda V Arzamendia D Giacomo A Giraudo P Goloboff C Gramajo C Kopuchian S Kretzshmar M Lizarralde et al . (2012). Detecting areas of endemism with a taxonomically diverse data set: Plants, mammals, reptiles, amphibians, birds, and insects from Argentina. Cladistics 28:317–329. Google Scholar
  91. P Upchurch (2008). Gondwanan break-up: Legacies of a lost world? Trends in Ecology & Evolution 23:229–236. Google Scholar
  92. D. S Vandervoort T. E Jordan P. K Zeitlerand R. N Alonso (1995). Chronology of internal drainage development and uplift, southern Puna Plateau, Argentine Central Andes. Geology 23:145–148. Google Scholar
  93. G Voelker (1999). Dispersal, vicariance, and clocks: Historical biogeography and speciation in a cosmopolitan passerine genus (Anthus: Motacillidae). Evolution 53:1536–1552. Google Scholar
  94. F Vuilleumier (1969). Pleistocene speciation in birds living in the high Andes. Nature 223:1179–1180. Google Scholar
  95. F Vuilleumier (1985). Forest birds of Patagonia: Ecological geography, speciation, endemism, and faunal history. In Neotropical Ornithology ( P. A Buckley M. S Foster E. S Morton R. S Ridgelyand F. G Buckley Editors). Ornithological Monographs 36:255–304. Google Scholar
  96. A. R Wallace (1889). Travels on the Amazon. Harper and Row, New York. Google Scholar
  97. W Wegner G Worner R. S Harmonand B. R Jicha (2010). Magmatic history and evolution of the Central American Land Bridge in Panama since Cretaceous times. Geological Society of America Bulletin 123:703–724. Google Scholar
  98. J. T Weirand M Price (2011). Andean uplift promotes lowland speciation through vicariance and dispersal in Dendrocincla woodcreepers. Molecular Ecology 20:4550–4563. Google Scholar
  99. J. T Weirand D Schluter (2008). Calibrating the avian molecular clock. Molecular Ecology 17:2321–2328. Google Scholar
  100. Y Yu A. J Harrisand X. J He (2010). S-DIVA (Statistical Dispersal-Vicariance Analysis): A tool for inferring biogeographic histories. Molecular Phylogenetics and Evolution 56:848–850. Google Scholar
  101. Y Yu A. J Harrisand X. J He (2013). RASP (Reconstruct Ancestral State in Phylogenies) 2.1 beta. Google Scholar
  102. D. J Zwickl (2006). Genetic algorithm approaches for the phylogenetic analysis of large biological sequence datasets under the maximum likelihood criterion. Ph.D. dissertation, The University of Texas, Austin, TX, USA. Google Scholar
Andrew D. Sweet and Kevin P. Johnson "Patterns of diversification in small New World ground doves are consistent with major geologic events," The Auk 132(1), (31 December 2014).
Received: 26 August 2014; Accepted: 1 October 2014; Published: 31 December 2014

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