- Research article
- Open Access
Unappreciated diversification of stem archosaurs during the Middle Triassic predated the dominance of dinosaurs
© The Author(s). 2016
- Received: 14 June 2016
- Accepted: 5 September 2016
- Published: 15 September 2016
Archosauromorpha originated in the middle–late Permian, radiated during the Triassic, and gave rise to the crown group Archosauria, a highly successful clade of reptiles in terrestrial ecosystems over the last 250 million years. However, scientific attention has mainly focused on the diversification of archosaurs, while their stem lineage (i.e. non-archosaurian archosauromorphs) has often been overlooked in discussions of the evolutionary success of Archosauria. Here, we analyse the cranial disparity of late Permian to Early Jurassic archosauromorphs and make comparisons between non-archosaurian archosauromorphs and archosaurs (including Pseudosuchia and Ornithodira) on the basis of two-dimensional geometric morphometrics.
Our analysis recovers previously unappreciated high morphological disparity for non-archosaurian archosauromorphs, especially during the Middle Triassic, which abruptly declined during the early Late Triassic (Carnian). By contrast, cranial disparity of archosaurs increased from the Middle Triassic into the Late Triassic, declined during the end-Triassic extinction, but re-expanded towards the end of the Early Jurassic.
Our study indicates that non-archosaurian archosauromorphs were highly diverse components of terrestrial ecosystems prior to the major radiation of archosaurs, including dinosaurs, while disparity patterns of the Ladinian and Carnian indicate a gradual faunal replacement of stem archosaurs by the crown group, including a short interval of partial overlap in morphospace during the Ladinian.
- Cranial disparity
- Geometric morphometrics
Scientific attention has mainly focused on the diversification of crown archosaurs (particularly dinosaurs: [4–9]), and non-crown-group taxa (i.e. non-archosaurian archosauromorphs) have been often overlooked in discussions of this key evolutionary event, although taxa such as Proterosuchus and Euparkeria were important in shaping our understanding of archosaur evolution [8, 9]. However, non-archosaurian archosauromorphs (i.e. taxa on the stem lineage leading towards archosaurs) formed a species rich component of Triassic ecosystems (>90 valid species) and achieved high morphological diversity (Fig. 1b-e), including highly specialised herbivores (e.g. [10, 11]), large apex predators (e.g. [12, 13]), marine predators with extremely elongated necks (e.g. ), armoured crocodile-like forms (e.g. [15, 16]), and possibly even turtles (e.g. [17–19]). Although the currently available fossils of Permian archosauromorphs are limited to only four species, phylogenies imply that all the main lineages of non-archosauriform archosauromorphs extend back into the Permian, indicating high, but incompletely sampled, taxonomic diversity , (Fig. 1a). The few known Permian archosauromorph body fossils and footprints reveal that the group had already achieved a broad geographic distribution and locomotor differentiation, including sprawling and erect postures . As a result, a comprehensive understanding of the Triassic rise of archosaurs must be framed within the context of this broader radiation of closely related stem-taxa.
Previous work attempting to quantify the morphological diversification of archosauromorphs during the Triassic has focused solely on crown archosaurs [4, 21, 22], and has primarily used discrete characters derived from cladistic data matrices assembled for phylogenetic analyses [4, 22]. The utility of such datasets for quantifying ecological variation is, however, debated . Here we attempt for the first time to quantify patterns of cranial morphological diversity during the first 100 million years of the early archosauromorph radiation using an alternative approach that has great power to capture morphological variation - geometric morphometrics. We compare morphospace occupation and temporal changes in disparity in non-archosaurian archosauromorphs versus archosaurs, and provide new insights into this important diversification event.
Taxonomic sampling and geometric morphometrics
To explore the morphological variation of the archosauromorph skull (excluding the lower jaw) we sampled 73 late Permian–Early Jurassic species represented by published skull reconstructions of adult (or advanced subadult) individuals in lateral view (see Additional file 1: Table S1). Here, skull reconstructions were carefully evaluated qualitatively with respect to completeness and degree of taphonomic damage and deformation of the original fossil material (based on photographs or first-hand observations), in order to minimize the impact of these factors on shape analyses . As a consequence, reconstructions relying on very incomplete or strongly deformed material were not taken into account.
We used two-dimensional geometric morphometrics to study variation in cranial morphology. Cranial shape was captured with 15 landmarks and 38 semi-landmarks, using the software tpsDig2 . The landmarks used in this study were classified as either type 1 (given point defined along the articulation between two bones) or type 2 (points of maximum curvature and extremities) , while the shapes of cranial openings and the overall skull outline were captured by semi-landmarks, which were plotted at equal intervals along the curves of the structures they were defining [26, 27] (see Additional file 1: Figure S1, Table S4). The resulting dataset was analysed in MorphoJ  and superimposed using Generalized Procrustes Analyses (GPA)  (see Additional file 2). Although the positions of semi-landmarks depend on the position of other landmarks, and, therefore, contain less shape information, we treated landmarks and semi-landmarks as equivalent for GPA , because in some species the sliding process creates considerable artificial deformation on the Procrustes shape . The Procrustes residuals were then converted into a covariance matrix and subjected to Principal Component Analysis (PCA), also in MorphoJ (Additional file 2). This method transforms the variation among individuals into new sets of independent variables (principal components) that are linear combinations of the original set, with zero covariance. Because the principal components (PCs) describe successively smaller amounts of total variation of the sample, it becomes possible to describe a large proportion of variation using a small number of variables [30, 32]. The PCs define a morphospace that depicts the overall spread of variation among taxa. The scores for the taxa on the PCs summarise the skull shape of each taxon, and therefore are shape proxies that can be used in macroevolutionary analyses to quantify major trends in skull evolution.
Disparity analyses, phylogeny and time calibration
We used the principal component (PC) scores to calculate temporal and phylogenetic variation in morphological disparity [33, 34]. Temporal disparity curves were calculated for two main groupings of archosauromorphs: the paraphyletic assemblage of non-archosaurian archosauromorphs; and crown group Archosauria. Because recent cladistic analyses find differing placements for phytosaurs, a major group of long-snouted semi-aquatic Triassic archosauromorphs, we constructed two datasets: one in which phytosaurs are included within crown Archosauria [1, 5, 35, 36] and the other in which they are treated as non-archosaurian archosauromorphs . However, our preferred hypothesis is that they are crown archosaurs based upon the most extensive phylogenetic analysis of early archosauromorphs conducted to date . Within crown Archosauria, we also compiled disparity curves for the two main subgroups: Pseudosuchia (crocodile line archosaurs) and Ornithodira (dinosaurs and their close relatives). The measures for pseudosuchians were calculated both including and excluding phytosaurs.
As noted above, non-archosaurian archosauromorphs represent a paraphyletic assemblage, and the same is true for crown group Archosauria in our analysis, because all Middle Jurassic–Recent archosaurs are excluded from our disparity calculations. However, quantification of morphospace occupation for a composite non-archosaurian Archosauromorpha allows us to assess the amount of morphological variation shown by the archosaur stem group, how this changed through time, and the relative importance of the crown group in determining the overall pattern of archosauromorph disparity. Unfortunately, sample sizes are too small for us to estimate disparity patterns for individual non-archosaurian archosauromorph clades, such as Erythrosuchidae or Proterochampsidae.
To increase the resolution of the disparity analyses, and partially fill in gaps in the fossil record where archosauromorphs are poorly sampled but must have been more diverse based on phylogenetic ghost lineages, we also included PC scores of hypothetical ancestors in the disparity analyses . We assembled two informal, time-calibrated supertrees based on recent literature, which differ only in the position of phytosaurs (see Additional file 1: Tables S5, S6; Additional file 3). To reconstruct reliable ancestral shapes for those clades whose origin falls into the final time bin of our analysis (Toarcian), we added 38 additional archosauromorph species from younger time intervals (Middle Jurassic–Late Cretaceous) to the supertree and morphometric dataset (see Additional file 1: Tables S2-S3). In addition, a sensitivity analysis was conducted without hypothetical ancestors to estimate the impact of the latter on the results (see Additional file 1: Tables S18-S23, Figure S6).
Time calibration of the trees was based on the ages of terminal taxa (see Additional file 1: Tables S1-S3), and a minimum branch length of 0.1 Myr was used, which essentially takes the fossil record at face value. This approach ensures that inferred hypothetical ancestors will always be placed conservatively in the youngest bin they could possibly occupy.
To predict ancestral morphologies, the PC scores of the terminal taxa were mapped as continuous characters onto the topologies in Mesquite 3.04 , using squared change parsimony , and ancestral node values were optimized. The resulting ancestral PC scores were then added to the overall dataset of PC scores of the terminal taxa.
For the temporal disparity curves, taxa were binned into approximately equal time intervals spanning the late Permian to Toarcian. Taxa from the Wuchiapingian and Changhsingian (late Permian) and Induan and Olenekian (Early Triassic) were combined into single bins, whereas the Norian was split into early and late Norian bins. Terminal taxa were binned according their midpoint-age (i.e., the midpoint of the range of uncertainty of their age), while hypothetical ancestors were binned based on the age of time-calibration. As a result of using the midpoint-age for terminal taxa, we assign skull shapes only to one time bin, although the total range of occurrence of some taxa may span over more than one bin, usually as a result of stratigraphic uncertainty rather than genuine stratigraphic range. Our methodology does not at present deal with situations where a clade (e.g. Erythrosuchidae) is present and sampled in two time bins, but is currently unsampled in a third intervening time bin although it must have been present (so-called ‘Lazarus taxa’). Solving this problem would require a more sophisticated approach involving evolutionary modelling of character changes that goes beyond the scope of this paper; in any case, the number of instances of Lazarus taxa in our dataset is likely to be small given the relatively restricted time frame and number of time bins.
Between-group disparity comparisons were made between non-archosaurian archosauromorphs and crown archosaurs, and between pseudosuchians and ornithodirans, within individual time bins.
For all disparity calculations, we used sum of variances (SoV) as our disparity metric, as it is more robust to sample size differences than other metrics [33, 40]. Sum of variances was estimated for each group in every bin using R 3.1.2 . Here, the minimum number of taxa for each group per bin was set at three. Bins with fewer taxa were not considered. All calculations are based on the first eight PC scores (83.2 % of total shape variation), which summarize the significant shape variation within the whole dataset, based on the broken stick method  performed in PAST .
Differences in disparity between adjacent time bins and between different groups within a single bin were tested for significance in R using a permutation test with 10,000 replicates, which takes into account the sample size difference between the two comparisons . This procedure tests whether a certain group had more or less total disparity than another by keeping the sample size of each group constant and shuffling the taxa randomly between the groups. Furthermore, we also tested whether two groups have significantly overlapping or different positions in morphospace using nonparametric multivariate analysis of variance (NPMANOVA) in PAST, which tests for significant differences in the distribution of groups in morphospace on the basis of permutation . All permutations were conducted using the first eight PC scores, which were transformed into a Euclidean distance matrix, permuted with 10,000 replications. Comparisons were made using the Bonferroni correction, to reduce the likelihood of type 1 statistical errors given the large number of comparisons performed.
Major cranial shape variation
Morphological disparity of Archosauromorpha during the Permian–Early Jurassic
Morphological disparity of non-archosaurian Archosauromorpha and Archosauria
When phytosaurs are treated as members of crown Archosauria (Ezcurra 2016) , the cranial disparity of non-archosaurian archosauromorphs increases from the late Permian to the Ladinian, with significant differences from the Early Triassic to the Anisian (Fig. 3b). After reaching a maximum in the Ladinian, non-archosaurian archosauromorph cranial disparity decreases in the Carnian (the last bin sampled for the group), with the last non-archosaurian archosauromorphs occurring in the Rhaetian . The first record of Archosauria is found in the Early Triassic  and from this point their cranial disparity increases continuously until the late Norian, followed by a decline in the Hettangian and a significant re-expansion until the Toarcian. The post-Hettangian increase includes a significant change from the Hettangian to the Sinemurian. The cranial disparity of non-archosaurian archosauromorphs is significantly higher than that of archosaurs (including phytosaurs) in the Early and Middle Triassic, whereas archosaurs possess a higher disparity in the Carnian, although the latter is not significant (Fig. 3a, see Additional file 1: Tables S7, S9, S13).
Within crown archosaurs, cranial disparity of pseudosuchians increases from the Early Triassic to the late Norian, with a significant difference between the Early Triassic and the Ladinian. After reaching a maximum in the late Norian, disparity declines in the Hettangian, and then increases in the Sinemurian (both significantly), followed by a further decrease in the Toarcian (Fig. 3, see Additional file 1: Tables S7, S14). By contrast, cranial disparity of ornithodirans increases from the Carnian continuously until the Sinemurian, with a significant change from the late Norian to the Sinemurian (only one Hettangian ornithodiran is sampled and differences in morphospace cannot be tested statistically). In the Toarcian, cranial disparity decreases again (Fig. 3, see Additional file 1: Tables S7, S15).
The NPMANOVA indicates that the increase from the Ladinian to the Carnian and the decline after the end-Triassic extinction in Pseudosuchia resulted in a significant shift in morphospace (see Additional file 1: Table S14). By contrast, Ornithodira show a significant shift from the Carnian to the early Norian (see Additional file 1: Table S15). When compared to each other, Pseudosuchia (including phytosaurs) and Ornithodira occupy significantly different areas in morphospace over the entire sampled time span (Additional file 1: Table S16).
The overall disparity trends described here remain valid when hypothetical ancestors were excluded from the data set, although the temporal resolution was less precise (see Additional file 1: Tables S18-S23, Figure S6).
Comparisons with previous analyses of early archosaur disparity and limitations of results
There are several similarities between our results and previous studies that were based primarily on discrete characters. Brusatte et al.  recovered pseudosuchian disparity considerably higher than that of dinosaurs during the entire Late Triassic, similarly to our analysis. By contrast, Avemetatarsalia (=ornithodirans in our analyses) had similar morphological diversity to Pseudosuchia during the Norian , which differs from our results. However, this could be an artefact because the current study focuses on cranial shape only, whereas Brusatte et al.  took the entire skeletal anatomy into account. The high disparity of ornithodirans during the Norian in the analysis of Brusatte et al.  probably results from the inclusion of pterosaurs, which underwent strong postcranial morphological modifications during their early evolution .
Across the Triassic–Jurassic (TJ) boundary, Brusatte et al.  identified a decline in pseudosuchian disparity, as recovered here. However, Brusatte et al.  recovered static ornithodiran and dinosaur disparity across the TJ boundary, and argued that this was inconsistent with an opportunistic replacement of pseudosuchians by ornithodirans/dinosaurs. By contrast, we recover significant increases in both ornithodiran and dinosaur disparity through the same time interval, which is potentially consistent with opportunistic replacement scenarios. Our results are also in agreement with those of Stubbs et al. , who found a decline of disparity in the mandibular shape of pseudosuchians across the TJ boundary. By contrast, Toljagic and Butler , who investigated morphological variation in pseudosuchians on the basis of discrete characters of the entire skeleton, found that their disparity did not change significantly across the TJ boundary due to an earliest Jurassic adaptive radiation of crocodylomorphs that balanced disparity loss due to the extinction of non-crocodylomorph pseudosuchians.
Several previous studies have found converging signals when different disparity proxies were applied [50–52], while the current study reveals partial differences between disparity analyses using discrete characters [22, 48] and those based on geometric morphometric data. These discrepancies could be due to a variety of reasons, including differences in taxonomic sampling, weaknesses of either the discrete character or morphometric datasets, or discrepancies between cranial and postcranial disparity in highly specialized clades such as pterosaurs. Future research is needed to better understand why different approaches to estimating disparity change do not always produce consistent results.
One further issue deserves comment. The disparity results from our morphometric study could potentially be affected by differences in the sample sizes of groups in each time bin. Because we use sum of variances as our disparity metric (see above), this influence should be minimized compared to other disparity metrics that can be more strongly affected by sample size ([33, 40]). Additionally, correlation tests show that most disparity curves are not significantly correlated with sample size over time (Additional file 1: Table S24). Only for Pseudosuchia did we find a significant correlation between disparity through time and sample size. However, rather than being artefactual, this correlation could be explained instead by a parallel increase of species diversity and cranial disparity in the early phase of the pseudosuchian radiation during the Triassic, resulting in the evolution of very different ecomorphotypes with distinct skull shapes [5, 8]. By contrast, due to the extinction of many of these specialized pseudosuchians at the end of the Triassic , but the survival of crocodylomorphs with relatively generalized skull shapes, we see another correlation between low sample size and cranial disparity during the Jurassic. Thus, we suggest that the significant correlations found here do not reflect a dependence of cranial disparity on sample size, but a true evolutionary signal.
Macroevolutionary analyses that have explored the faunal changes that occurred in vertebrate assemblages during the Triassic have focused mainly on comparisons of taxic diversity and morphological disparity between the two archosaur lineages (i.e. Pseudosuchia and Ornithodira) or between dinosaurs and other terrestrial tetrapods [4, 6, 53–55]. Thus, these analyses were mainly restricted to the Middle–Late Triassic and mostly ignored the role of non-archosaurian archosauromorphs in these evolutionary events. Our analysis found previously unappreciated high morphological disparity for non-archosaurian archosauromorph skulls with a major peak during the Middle Triassic. These results indicate that non-archosaurian archosauromorphs were highly diverse components of terrestrial ecosystems in terms of skull shape prior to the major diversification of crown archosaurs, including dinosaurs. The high cranial disparity of non-archosaurian archosauromorphs during the Middle Triassic was the result of sustained increases from the late Permian to the Ladinian. In particular, the significant changes in non-archosaurian archosauromorph morphospace occupation between the late Permian, Early Triassic and Anisian, and the significant disparity increase from the Early Triassic to Anisian indicate a shift from a rather morphologically homogenous archosauromorph assemblage immediately after the end-Permian mass extinction, mainly dominated by proterosuchid-like forms, to a more disparate one by the Middle Triassic . This change may be related to the stabilization of ecosystems and opening of new ecological niches following an interval of global instability [57, 58].
After the Middle Triassic peak, the cranial disparity of non-archosaurian archosauromorphs (when phytosaurs are included within Archosauria) decreased abruptly during the Carnian. This decrease is non-significant, but it is larger in absolute values than the increases documented during the Early–Middle Triassic. Beyond this decrease, a significant change in morphospace occupation occurs between the Ladinian and Carnian. This change may indicate a taxonomically selective extinction event. These results further indicate that the cranial disparity of numerous non-archosaurian archosauromorph clades was in decline before they disappeared in the Norian and end-Triassic extinction events . Interestingly, during the Ladinian the morphospace occupation of non-archosaurian archosauromorphs does not differ significantly from that of archosaurs, but the former are significantly more disparate than the latter. By contrast, in the Carnian the morphospace occupations of archosaurs and non-archosaurian archosauromorphs differ significantly from each other, with archosaurs being more disparate than non-archosaurian archosauromorphs. This could be the result of the extinction of Middle Triassic non-archosaurian taxa which had overlapping morphospace with that of Late Triassic archosaurs. This change restricted the morphospace of non-archosaurian archosauromorphs that survived into the Norian to ecologically specialized groups, such as hyperodapedontine rhynchosaurs, trilophosaurids, tanystropheids, and proterochampsids.
The disparity patterns documented here are consistent with a gradual faunal replacement event, with a short interval of partial morphospace overlap between non-archosaurian archosauromorphs and archosaurs during the Ladinian, followed by decline of the former group and expansion of the morphospace of the latter. The macroevolutionary events described above change if phytosaurs are considered to be outside of Archosauria (see Additional file 1). Nevertheless, even if phytosaurs are not crown archosaurs, the overall evolutionary patterns found here (including the Middle Triassic non-archosaurian archosauromorph disparity peak) are still valid for the group composed of non-archosaurian archosauromorphs to the exclusion of phytosaurs and other archosaurs.
During the Late Triassic and Early Jurassic the cranial disparity of archosaurs increased and surpassed that previously reached by non-archosaurian archosauromorphs. Prior to the end-Triassic mass extinction, pseudosuchians comprised the majority of archosaur disparity, whereas disparity was considerably, but non-significantly, lower in ornithodirans. By contrast, the re-expansion of archosaur disparity in the Early Jurassic stems from the diversification of ornithodirans, the disparity of which surpasses that of pseudosuchians after the end-Triassic extinction (Fig. 3, see Additional file 1: Figure S5, Tables S7, S14, S15).
Based on cranial shape analyses of archosauromorph reptiles spanning from the Late Permian to the Early Jurassic, we demonstrate that the success of archosaurs (crocodylians, dinosaurs, birds) in Jurassic to modern ecosystems was predated by unappreciated high skull shape diversity in stem archosaurs during the Middle Triassic. This high early cranial diversity reflects very disparate cranial morphologies, which are potentially related to different environmental adaptations and feeding ecologies. A series of possible replacement and extinction events between the Middle and Late Triassic resulted in a decline of non-archosaurian archosauromorph disparity and taxonomic diversity, while the ecomorphological diversification of crown archosaurs, which began in the Middle Triassic (predominately pseudosuchians) and continued after the end-Triassic mass extinction (predominately ornithodirans, including dinosaurs), went hand-in-hand with an increase in cranial disparity.
We thank Steve Wang (Swarthmore College) for sharing his R script. CF was supported by the Deutsche Forschungsgemeinschaft (RA 1012/12-1). MDE, RBS and RJB were supported by an Emmy Noether Programme Award from the Deutsche Forschungsgemeinschaft (BU 2587/3-1 to RJB) and a Marie Curie Career Integration Grant (PCIG14-GA-2013-630123 ARCHOSAUR RISE to RJB). SLB is supported by a Marie Curie Career Integration Grant (CIG 630652). Michael Benton and one anonymous reviewer are thanked for very helpful comments, which improved the manuscript.
Availability of supporting data
The data sets supporting the results of this article are included within the article (and its files).
CF, MDE, RBS, SLB and RJB designed the project. CF, MDE, RBS and RJB collected the data. CF performed the analyses. CF, MDE, RBS, SLB and RJB drafted the manuscript, and CF prepared the figures. All authors reviewed, edited and approved the final manuscript.
The authors declare that they have no competing interests.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
- Gauthier JA, Kluge AG, Rowe TB. Amniote phylogeny and the importance of fossils. Cladistics. 1988;4:105–209.View ArticleGoogle Scholar
- Ezcurra MD, Scheyer TM, Butler RJ. The origin and early evolution of Sauria: reassessing the Permian saurian fossil record and the timing of the crocodile-lizard divergence. PLoS One. 2014;9:e89165.View ArticlePubMedPubMed CentralGoogle Scholar
- Sookias RB, Butler RJ, Benson RBJ. Rise of dinosaurs reveals major body-size transitions are driven by passive processes of trait evolution. Proc R Soc B. 2012;279:2180–7.View ArticlePubMedPubMed CentralGoogle Scholar
- Brusatte SL, Benton MJ, Ruta M, Lloyd GT. Superiority, competition, and opportunism in the evolutionary radiation of dinosaurs. Science. 2008;321:1485–8.View ArticlePubMedGoogle Scholar
- Brusatte SL, Benton MJ, Desojo JB, Langer MC. The higher-level phylogeny of Archosauria (Tetrapoda: Diapsida). J Syst Palaeontol. 2010;8:3–47.View ArticleGoogle Scholar
- Langer MC, Ezcurra MD, Bittencourt JS, Novas FE. The origin and early evolution of dinosaurs. Biol Rev. 2010;85:55–110.View ArticlePubMedGoogle Scholar
- Butler RJ, Irmis RB, Langer MC. Late Triassic terrestrial biotas and the rise of dinosaurs. Earth Environ Sci Trans R Soc Edinburgh. 2011;101:1–426.Google Scholar
- Nesbitt SJ. The early evolution of archosaurs: relationships and the origin of major clades. Bull Am Museum Nat Hist. 2011;352:1–292.View ArticleGoogle Scholar
- Nesbitt SJ, Desojo JB, Irmis RB. Anatomy, phylogeny and palaeobiology of early archosaurs and their kin. Geol Soc London, Spec Publ London. 2013;379:1–608.View ArticleGoogle Scholar
- Nesbitt SJ, Flynn J, Pritchard AC, Parrish JM, Ranivoharimanana L, Wyss AR. Postcranial osteology of Azendohsaurus madagaskarensis (?Middle to Upper Triassic, Isalo Group, Madagascar) and its systematic position among stem archosaur reptiles. Bull Am Museum Nat Hist. 2015;398:1–126.View ArticleGoogle Scholar
- Ezcurra MD, Montefeltro FC, Butler RJ. The early evolution of rhynchosaurs. Front Ecol Evol. 2016;3:1–23.View ArticleGoogle Scholar
- Gower DJ. Osteology of the early archosaurian reptile Erythrosuchus africanus Broom. Ann South African Museum. 2003;110:1–84.Google Scholar
- Gower DJ, Hancox PJ, Botha-Brink J, Sennikov AG, Butler RJ. A new species of Garjainia Ochev, 1958 (Diapsida: Archosauriformes: Erythrosuchidae) from the Early Triassic of South Africa. PLoS One. 2014;9:e111154.View ArticlePubMedPubMed CentralGoogle Scholar
- Li C, Rieppel OC, laBarbera MC. A Triassic aquatic protorosaur with an extremely long neck. Science. 2004;305:1931.View ArticlePubMedGoogle Scholar
- Dilkes D, Sues H-D. Redescription and Phylogenetic Relationships of Doswellia kaltenbachi (Diapsida: Archosauriformes) from the Upper Triassic of Virginia. J Vertebr Paleontol. 2009;29:58–79.View ArticleGoogle Scholar
- Dilkes D, Arcucci AB. Proterochampsa barrionuevoi (Archosauriformes: Proterochampsia) from the Late Triassic (Carnian) of Argentina and a phylogenetic analysis of Proterochampsia. Palaeontology. 2012;55:853–85.View ArticleGoogle Scholar
- Shen X, Liang D, Wen J, Zhang P. Multiple genome alignments facilitate development of NPCL markers: a case study of tetrapod phylogeny focusing on the position of turtles. Mol Biol Evol. 2011;28:3237–52.View ArticlePubMedGoogle Scholar
- Field DJ, Gauthier JA, King BL, Pisani D, Lyson TR, Peterson KJ. Toward consilience in reptile phylogeny: miRNAs support an archosaur, not lepidosaur, affinity for turtles. Evol Dev. 2014;16:189–96.View ArticlePubMedPubMed CentralGoogle Scholar
- Green RE, Braun EL, Armstrong J, Earl D, Nguyen N, Hickey G, et al. Three crocodilian genomes reveal ancestral patterns of evolution among archosaurs. Science. 2014;346:12544491–9.View ArticleGoogle Scholar
- Bernardi M, Klein H, Petti FM, Ezcurra MD. The origin and early radiation of archosauriforms: integrating the skeletal and footprint record. PLoS One. 2015;10:e0128449.View ArticlePubMedPubMed CentralGoogle Scholar
- Stubbs TL, Pierce SE, Rayfield EJ, Anderson PSL. Morphological and biomechanical disparity of crocodile-line archosaurs following the end-Triassic extinction. Proc R Soc B. 2013;280:20131940.View ArticlePubMedPubMed CentralGoogle Scholar
- Toljagic O, Butler RJ. Triassic/Jurassic mass extinction as trigger for the Mesozoic radiation of crocodylomorphs. Biol Lett. 2013;9:20130095.View ArticlePubMedPubMed CentralGoogle Scholar
- Anderson PSL, Friedman M. Using cladistic characters to predict functional variety: experiments using early gnathostomes. J Vertebr Paleontol. 2012;32:1254–70.View ArticleGoogle Scholar
- Foth C, Rauhut OWM. The good, the bad, and the ugly: the influence of skull reconstructions and intraspecific variability in studies of cranial morphometrics in theropods and basal saurischians. PLoS One. 2013;8:e72007.View ArticlePubMedPubMed CentralGoogle Scholar
- Rohlf FJ. tpsDig, digitize landmarks and outlines, version 2.05. Department of Ecology and Evolution, State University of New York, Stony Brook, New York; 2005Google Scholar
- Bookstein FL. Morphometric tools for landmark data. Cambridge: Cambridge University Press; 1991.Google Scholar
- Bookstein FL, Schäfer K, Prossinger H, Seidler H, Fiedler M, Stringer C, et al. Comparing frontal cranial profiles in archaic and modern Homo by morphometric analysis. Anat Rec. 1999;257:217–24.View ArticlePubMedGoogle Scholar
- Klingenberg CP. MorphoJ: an integrated software package for geometric morphometrics. Mol Ecol Resour. 2011;11:353–7.View ArticlePubMedGoogle Scholar
- Rohlf FJ, Slice DE. Extensions of the Procrustes method for the optimal superimposition of landmarks. Syst Zool. 1990;39:40–59.View ArticleGoogle Scholar
- Zelditch ML, Swiderski DL, Sheets HD. Geometric morphometrics for biologists: a primer. Amsterdam: Elsevier Academic Press; 2012.Google Scholar
- Foth C, Hedrick BP, Ezcurra MD. Cranial ontogenetic variation in early saurischians and the role of heterochrony in the diversification of predatory dinosaurs. PeerJ. 2016;4:e1589.View ArticlePubMedPubMed CentralGoogle Scholar
- Hammer O, Harper DAT. Paleontological data analysis. Malden: Blackwell Publishing; 2006.Google Scholar
- Wills MA, Briggs DEG, Fortey RA. Disparity as an evolutionary index: a comparison of Cambrian and recent arthropods. Paleobiology. 1994;20:93–130.View ArticleGoogle Scholar
- Ciampaglio CN, Kemp M, McShea DW. Detecting changes in morphospace occupation patterns in the fossil record: characterization and analysis of measures of disparity. Paleobiology. 2001;27:695–715.View ArticleGoogle Scholar
- Sereno PC. Basal archosaurs: phylogenetic relationships and functional implications. Soc Vertebr Paleontol Mem. 1991;2:1–53.View ArticleGoogle Scholar
- Ezcurra MD. The phylogenetic relationships of basal archosauromorphs, with an emphasis on the systematics of proterosuchian archosauriforms. PeerJ. 2016;4:e1778.View ArticlePubMedPubMed CentralGoogle Scholar
- Brusatte SL, Montanari S, Yi H, Norell MA. Phylogenetic corrections for morphological disparity analysis: new methodology and case studies. Paleobiology. 2011;37:1–22.View ArticleGoogle Scholar
- Maddison WP, Maddison DR. Mesquite: a modular system of evolutionary analysis. Version 3.04. 2015; Available from: http://mesquiteproject.org/
- Maddison WP. Squared-change parsimony reconstructions of ancestral states for continuous-valued characters on a phylogenetic tree. Syst Zool. 1991;40:304–14.View ArticleGoogle Scholar
- Butler RJ, Benson RBJ, Barrett PM. Pterosaur diversity: untangling the influence of sampling biases, Lagerstätten, and genuine biodiversity signals. Palaeogeogr Palaeoclimatol Palaeoecol. 2013;372:78–87.View ArticleGoogle Scholar
- R-Development-Core-Team. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2011. Available from: http://www.r-project.org.Google Scholar
- Jackson DA. Stopping rules in principal components analysis: a comparison of heuristical and statistical approaches. Ecology. 1993;74:2204–14.View ArticleGoogle Scholar
- Hammer O, Harper DAT, Ryan PD. PAST: paleontological statistics software package for education and data analysis. Palaeontol Electron. 2001;4:1–9.Google Scholar
- Brusatte SL, Lloyd GT, Wang SC, Norell MA. Gradual assembly of avian body plan culminated in rapid rates of evolution across the dinosaur-bird transition. Curr Biol. 2014;24:2386–92.View ArticlePubMedGoogle Scholar
- Anderson MJ. A new method for non-parametric multivariate analysis of variance. Austral Ecol. 2001;26:32–46.Google Scholar
- Parker WG, Martz JW. The Late Triassic (Norian) Adamanian–Revueltian tetrapod faunal transition in the Chinle Formation of Petrified Forest National Park, Arizona. Earth Environ Sci Trans R Soc Edinburgh. 2011;101:231–60.View ArticleGoogle Scholar
- Butler RJ, Brusatte SL, Reich M, Nesbitt SJ, Schoch RR, Hornung JJ. The sail-backed reptile Ctenosauriscus from the latest Early Triassic of Germany and the timing and biogeography of the early archosaur radiation. PLoS One. 2011;6:e25693.View ArticlePubMedPubMed CentralGoogle Scholar
- Brusatte SL, Benton MJ, Ruta M, Lloyd GT. The first 50 Myr of dinosaur evolution: macroevolutionary pattern and morphological disparity. Biol Lett. 2008;4:733–6.View ArticlePubMedPubMed CentralGoogle Scholar
- Dalla Vecchia FM. Triassic pterosaurs. Geol Soc London, Spec Publ. 2013;379:119–55.View ArticleGoogle Scholar
- Villier L, Eble GJ. Assessing the robustness of disparity estimates: the impact of morphometric scheme, temporal scale, and taxonomic level in spatangoid echinoids. Paleobiology. 2004;30:652–65.View ArticleGoogle Scholar
- Foth C, Brusatte SL, Butler RJ. Do different disparity proxies converge on a common signal? Insights from the cranial morphometrics and evolutionary history of Pterosauria (Diapsida: Archosauria). J Evol Biol. 2012;25:904–15.View ArticlePubMedGoogle Scholar
- Hetherington AJ, Sherratt E, Ruta M, Wilkinson M, Deline B, Donoghue PCJ. Do cladistic and morphometric data capture common patterns of morphological disparity? Palaeontology. 2015;58:393–9.View ArticleGoogle Scholar
- Benton MJ. Dinosaur success in the Triassic: a noncompetitive ecological model. Q Rev Biol. 1983;58:29–55.View ArticleGoogle Scholar
- Brusatte SL, Nesbitt SJ, Irmis RB, Butler RJ, Benton MJ, Norell MA. The origin and early radiation of dinosaurs. Earth Sci Rev. 2010;101:68–100.View ArticleGoogle Scholar
- Irmis RB. Evaluating hypotheses for the early diversification of dinosaurs. Earth Environ Sci Trans R Soc Edinburgh. 2011;101:397–426.View ArticleGoogle Scholar
- Ezcurra MD, Butler RJ. Taxonomy of the proterosuchid archosauriforms (Diapsida: Archosauromorpha) from the earliest Triassic of South Africa, and implications for the early archosauriform radiation. Palaeontology. 2015;58:141–70.View ArticleGoogle Scholar
- Irmis RB, Whiteside JH. Delayed recovery of non-marine tetrapods after the end-Permian mass extinction tracks global carbon cycle. Proc R Soc B. 2012;279:1310–8.View ArticlePubMedGoogle Scholar
- Lau KV, Maher K, Altiner D, Kelley BM, Kump LR, Lehrmann DJ, et al. Marine anoxia and delayed Earth system recovery after the end-Permian extinction. Proc Natl Acad Sci. 2016;113:2360–5.View ArticlePubMedPubMed CentralGoogle Scholar