Roger B. J. Benson’s research while affiliated with American Museum of Natural History and other places

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Publications (329)


Stepwise Assembly Of Crown Reptile Anatomy Clarified By Late Paleozoic Outgroups Of Neodiapsida
  • Preprint

November 2024

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22 Reads

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Roger B.J. Benson

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[...]

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Brandon R. Peecook

Living reptiles include more than 20,000 species with disparate ecologies. Direct anatomical evidence from Neodiapsida, which includes the reptile crown-group Sauria and its closest extinct relatives, shows that this diversity originates from a single common reptilian ancestor that lived some 255 million years ago in the Paleozoic. However, the evolutionary assembly of crown reptile traits is poorly understood due to the lack of anatomically close outgroups to Neodiapsida. We present a substantially revised phylogenetic hypothesis, informed by new anatomical data derived from high-resolution synchrotron tomography of Paleozoic reptiles. We find strong evidence placing the clade Millerettidae as a close sister to Neodiapsida, which uniquely share a suite of derived features among Paleozoic stem reptiles. This grouping, for which we name the new clade Parapleurota, replaces previous phylogenetic paradigms by rendering the group Parareptilia as a polyphyletic assemblage of stem reptiles, of which millerettids are the most crownward. Our analysis presents hypotheses that resolve long-standing issues in Paleozoic reptile evolution, including the placement of captorhinids on the amniote stem lineage and firm support for varanopids as synapsids, which taken together provide a greatly improved fit to the observed stratigraphic record. Optimizations of character evolution on our phylogenetic hypothesis reveals gradual assembly of crown reptile anatomy, including a Permian origin of tympanic hearing, the presence of a lower temporal fenestra in the amniote common ancestor, with subsequent modifications on the reptile stem lineage, leading to the loss of the lower temporal bar. This evolutionary framework provides a platform for investigating the subsequent radiations of the reptile crown group in the Early Triassic, including the lines leading to dinosaurs (including birds), crocodilians, lepidosaurs, and extinct marine reptiles.


A summary of the μCT-scan dataset. We were able to sample species from all seven ecomorphological groups in the Lake Malawi haplochromine radiation. The phylogenetic relationships between the majority of the species scanned is indicated and coloured according to the respective ecomorphology. The tree is a pruned version of the full (no intermediates) neighbour-joining tree published by Malinsky et al.⁴, which is rooted to Neolamprologous brichardi, a non-haplochromine cichlid endemic to Lake Tanganyika²⁰. Longer terminal branches reflect a higher ratio of within-species to between-species variation. A cladogram depicting the relationship between the Lake Victoria, Lake Malawi and the Astatotilapia species native to the Great Ruaha River is indicated in the black box. We also scanned 18 species of cichlid whose phylogenetic relationships are not resolved in the phylogeny shown. The names of these species, most of which are undescribed, are indicated in their respective ecomorphological group in bold. Pictures (not to scale) of example species belonging to each ecomorphological group are also shown. Black bar: 2 × 10⁻⁴ substitutions per base pair. Fish images used with permission from Ad Konings (Alticorpus macrocleithrum, Diplotaxodon greenwoodi, Genyochromis mento, Hemitilapia oxyrhynchus, Iodotrophesus sprengerae, Nimbochromis polystigma, Placidochromis milomo and Trematocranus placodon), George F. Turner (Astatotilapia sp. ‘Ruaha blue’¹⁸³, Diplotaxodon macrops, Mylochromis anaphyrmus, Otopharynx speciosus and Rhamphochromis woodi), Martin J. Genner (Diplotaxodon sp. ‘similis white-back north’, Diplotaxodon sp. ‘macrops ngulube’ and Rhamphochromis sp. ‘Chilingali’), Hannes Svardal (Copadichromis virginalis) and Callum V. Bucklow (Maylandia zebra). Fish images are not to scale.
Flowchart of μCT-scanning, image processing and segmentation methodology. The flowchart outlines the necessary decisions that were made during collation of the described μCT scan dataset. Rectangles represent processes; parallelograms represent inputs or outputs; diamonds represent decisions. It is sufficiently generalised that it can be reused for future data collection. We were focused on generating data for a specific macroevolutionary study, so we restricted the dataset to species with known phylogenetic placements but this is not strictly necessary. Software associated with data processing steps are indicated in purple. Further information about processing and segmentation is provided in the Usage Notes.
Specimen preparation for μCT-scanning. Multiple fish were scanned at the same time (A). Individual fish were labelled and placed in separate plastic bags so they could be correctly identified and stored after imaging (B). Unique objects (C) that would be readily identifiable following μCT-scanning were attached to the outside of these bags, ideally close to the heads, positioned outwards (F, arrows), and bundled together with tape (D–F) all with the same orientation (head-up). Bundles were then wrapped in bubble wrap and other packaging material (G,H) and tightly sealed inside a plastic container, again head-up (I). Containers were left for at least ten minutes to settle to prevent movement during scanning (J) and an additional label was placed on the container to permit future identification if multiple batches were prepared together (K).
Whole-body 3D models of select specimens from the dataset. Specimens are arranged according to the ecomorphological group they belong to. Species names are indicated. The ring structure in Diplotaxodon sp. ‘holochromis’ and Lethrinops gossei is a rubber band used for identification purposes. Scale for all images is shown as 1cm. See Supplementary Table S1 for details of the specimens used.
Segmented Bones from Astatotilapia calliptera, Genyochromis mento (mbuna) and Trematocranus placodon (shallow benthic). (A, left) A close up, lateral view of the head of each species (species name indicated on right), showing the dentary (green), premaxilla (pink) and lower pharyngeal jaw (purple) positioned within a volume render of the head. (A, right) A whole body lateral view showing the aforementioned jaw bones, as well as the first non-rib-bearing vertebra (orange), the first rib-bearing (precaudal, PC) vertebrae (light blue), PC8 (green), non-rib bearing (caudal, CV), CV3 (orange), CV10 (gold) and the pre-urostyle vertebrae (red). (B) Anterior (top) and anterolateral (bottom) view of the lower pharyngeal jaws for each species in (A). Scale for all images is 1cm. See Supplementary Table S1 for details of the specimens used. 3D models for all segmented bones can be found in the Supplementary Material.

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A whole-body micro-CT scan library that captures the skeletal diversity of Lake Malawi cichlid fishes
  • Article
  • Full-text available

September 2024

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126 Reads

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2 Citations

Scientific Data

Here we describe a dataset of freely available, readily processed, whole-body μCT-scans of 56 species (116 specimens) of Lake Malawi cichlid fishes that captures a considerable majority of the morphological variation present in this remarkable adaptive radiation. We contextualise the scanned specimens within a discussion of their respective ecomorphological groupings and suggest possible macroevolutionary studies that could be conducted with these data. In addition, we describe a methodology to efficiently μCT-scan (on average) 23 specimens per hour, limiting scanning time and alleviating the financial cost whilst maintaining high resolution. We demonstrate the utility of this method by reconstructing 3D models of multiple bones from multiple specimens within the dataset. We hope this dataset will enable further morphological study of this fascinating system and permit wider-scale comparisons with other cichlid adaptive radiations.

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Studies species and examined linear distances. (a) Coloured branches indicate the primary locomotor environment used for locomotion per species. Topology pruned from Upham et al. (2019). Tips labelled with red circles indicate species which forelimb morphology is represented in the image. (1) Ornithorhynchus anatinus (Monotremata, Ornithorhynchidae—semi‐aquatic); (2) Macropus giganteus* (Diprotodontia, Macropodidae—terrestrial); (3) Acrobates pygmaeus (Diprotodontia, Acrobatidae—semi‐aerial); (4) Choloepus didactylus* (Pilosa, Megalonychidae—terrestrial); (5) Trichechus senegalensis (Sirenia, Trichechidae—aquatic); (6) Elephas maximus* (Proboscidea, Elephantidae—terrestrial); (7) Galeopterus variegatus (Dermoptera, Cynocephalidae—semi‐aerial); (8) Homo sapiens* (Primates, Hominidae—terrestrial); (9) Melanomys caliginosus* (Rodentia, Cricetidae—terrestrial); (10) Mogera wogura (Eulipotyphla, Talpidae—terrestrial); (11) Barbastella barbastellus (Chiroptera, Vespertilionidae—aerial); (12) Manis pentadactyla* (Pholidota, Manidae—terrestrial);(13) Panthera leo* (Carnivora, Felidae—terrestrial); (14) Odobenus rosmarus (Carnivora, Odobenidae—aquatic); (15) Lutra lutra (Carnivora, Mustelidae—semi‐aquatic); (16) Equus caballus* (Perissodactyla, Equidae—terrestrial); (17) Bos frontalis* (Cetartiodactyla, Bovidae—terrestrial); (18) Tursiops truncatus* (Cetartiodactyla, Delphinidae—aquatic). * Limb schemes modified from Rothier et al., 2023. (b) Representation of the studied bones and the obtained morphological distances.
Morphological variation of the mammalian forelimb. (a) Shape forelimb morphospaces with species coloured by locomotor medium (left) and taxonomic group (right), calculated with size residuals (ellipses indicate 95% confidence interval); (b) Absolute forelimb size morphospaces with species coloured by locomotor medium (left) and taxonomic group (right), calculated with raw data; (c) Mirrored phenograms indicating the evolutionary trajectories of the pPC1 of shape (size removed data, from ‘a’) and absolute size (raw data, ‘b’), with coloured branches representing one possible ancestral state reconstruction of locomotor environments. Examples of species classified into non‐terrestrial media are indicated (not to scale). * Cetartiodactyla non‐Cetacea.
Shape morphospace of each bone, coloured by the locomotor environment (media). Density plots on the top and right sides indicate the scores distribution per medium at each pPC. (a) Humerus, (b) radius, (c) metacarpal and (d) phalanx.
Morphological disparity across locomotor environments (media). Left panel indicates values for trait shape (size residual), and absolute size (raw values) disparity is indicated on the right. The scatter plots with jittering represent disparity (sum of variances) calculated over 1000 bootstrap pseudoreplicates. (a) whole forelimb disparity, (b) humerus disparity, (c) radius disparity, (d) metacarpal disparity and (e) phalanx disparity.
Whole limb morphological disparity across major clades with locomotion in continuous fluid media. Studied species that do not belong to the any of the three major clades are included in ‘others’. The scatter plots with jittering represent disparity (sum of variances) calculated over 1000 bootstrap pseudoreplicates. (a) Forelimb shape disparity (size residual); (b) Forelimb absolute size (raw values) disparity.
Of flippers and wings: The locomotor environment as a driver of the evolution of forelimb morphological diversity in mammals

August 2024

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450 Reads

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1 Citation

The early diversification of tetrapods into terrestrial environments involved adaptations of their locomotor apparatus that allowed for weight support and propulsion on heterogeneous surfaces. Many lineages subsequently returned to the water, while others conquered the aerial environment, further diversifying under the physical constraints of locomoting through continuous fluid media. While many studies have explored the relationship between locomotion in continuous fluids and body mass, none have focused on how continuous fluid media have impacted the macroevolutionary patterns of limb shape diversity. We investigated whether mammals that left terrestrial environments to use air and water as their main locomotor environment experienced constraints on the morphological evolution of their forelimb, assessing their degree of morphological disparity and convergence. We gathered a comprehensive sample of more than 800 species that cover the extant family‐level diversity of mammals, using linear measurements of the forelimb skeleton to determine its shape and size. Among mammals, fully aquatic groups have the most disparate forelimb shapes, possibly due to the many different functional roles performed by flippers or the relaxation of constraints on within‐flipper bone proportions. Air‐based locomotion, in contrast, is linked to restricted forelimb shape diversity. Bats and gliding mammals exhibit similar morphological patterns that have resulted in partial phenotypic convergence, mostly involving the elongation of the proximal forelimb segments. Thus, whereas aquatic locomotion drives forelimb shape diversification, aerial locomotion constrains forelimb diversity. These results demonstrate that locomotion in continuous fluid media can either facilitate or limit morphological diversity and more broadly that locomotor environments have fostered the morphological and functional evolution of mammalian forelimbs. Read the free Plain Language Summary for this article on the Journal blog.


Jurassic fossil juvenile reveals prolonged life history in early mammals

July 2024

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530 Reads

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2 Citations

Nature

Living mammal groups exhibit rapid juvenile growth with a cessation of growth in adulthood¹. Understanding the emergence of this pattern in the earliest mammaliaforms (mammals and their closest extinct relatives) is hindered by a paucity of fossils representing juvenile individuals. We report exceptionally complete juvenile and adult specimens of the Middle Jurassic docodontan Krusatodon, providing anatomical data and insights into the life history of early diverging mammaliaforms. We used synchrotron X-ray micro-computed tomography imaging of cementum growth increments in the teeth2–4 to provide evidence of pace of life in a Mesozoic mammaliaform. The adult was about 7 years and the juvenile 7 to 24 months of age at death and in the process of replacing its deciduous dentition with its final, adult generation. When analysed against a dataset of life history parameters for extant mammals⁵, the relative sequence of adult tooth eruption was already established in Krusatodon and in the range observed in extant mammals but this development was prolonged, taking place during a longer period as part of a significantly longer maximum lifespan than extant mammals of comparable adult body mass (156 g or less). Our findings suggest that early diverging mammaliaforms did not experience the same life histories as extant small-bodied mammals and the fundamental shift to faster growth over a shorter lifespan may not have taken place in mammaliaforms until during or after the Middle Jurassic.


Macroevolutionary drivers of morphological disparity in the avian quadrate

February 2024

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322 Reads

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6 Citations

In birds, the quadrate connects the mandible and skull, and plays an important role in cranial kinesis. Avian quadrate morphology may therefore be assumed to have been influenced by selective pressures related to feeding ecology, yet large-scale variation in quadrate morphology and its potential relationship with ecology have never been quantitatively investigated. Here, we used geometric morphometrics and phylogenetic comparative methods to quantify morphological variation of the quadrate and its relationship with key ecological features across a wide phylogenetic sample. We found non-significant associations between quadrate shape and feeding ecology across different scales of phylogenetic comparison; indeed, allometry and phylogeny exhibit stronger relationships with quadrate shape than ecological features. We show that similar quadrate shapes are associated with widely varying dietary ecologies (one-to-many mapping), while divergent quadrate shapes are associated with similar dietary ecologies (many-to-one mapping). Moreover , we show that the avian quadrate evolves as an integrated unit and exhibits strong associations with the morphologies of neighbouring bones. Our results collectively illustrate that quadrate shape has evolved jointly with other elements of the avian kinetic system, with the major crown bird lineages exploring alternative quadrate morphologies, highlighting the potential diagnostic value of quadrate morphology in investigations of bird systematics.


Figure 1. A schematic of the species-area effect, in map view. The total sampling area (gray boxes) in A and C is twice as large as in B; these bounding regions could represent the total preserved outcrop area from three time steps or continents of comparison. Individual sampling sites within a study region are indicated with clear boxes, and species occurrences are represented with lowercase letters. Species count at an individual site is alpha diversity (annotated at only one site in each panel, for simplicity). Total species count within a study area is gamma diversity. There are many metrics for beta diversity related to species turnover between sites, but a simple and original measure is the ratio of gamma to mean alpha (Whittaker 1960, 1972). Note that both beta and gamma diversity increase as sampling area doubles from B to A, even though the distributions of alpha diversity, species' geographic range size, and site density are identical. Without accounting for the difference in sampling area, (paleo)ecologists might falsely infer time bin A more diverse than B and with smaller proportional range sizes. C also has larger beta and gamma diversity than B, despite the same number and cumulative area of sampled sites, because the dispersion between sites is larger.
Figure 3. Scatter plots indicate the relationship between species count and mean per-species occupied grid cells in 63 time bins, either as a proportion of all occupied grid cells (A) or as a count within subsample regions of 12 cells (B). Outlier points are labeled by geological stage and overplotted on C: Ar, Artinskian; Gz, Gzhelian; Hir, Hirnantian. C, Species count in each stage, either tallied globally (dashed line) or within subsampled regions (solid line). Note logarithmic y-axis scale in C. Error bars in B and C denote interquartile range across 500 replicate subsampled regions. Geological periods: O, Ordovician; S, Silurian; D, Devonian; C, Carboniferous; P, Permian; Tr, Triassic; J, Jurassic; K, Cretaceous; Pg, Paleogene; N, Neogene.
Figure 4. Scatter plots indicate the pairwise relationship between either species count (A and B) or mean proportional occupancy of equal-area grid cells (C and D) and spatial sampling coverage, measured as either a count of grid cells (A and C) or summed length of minimum spanning tree connecting occupied cell centroids (B and D). Outlier points are labeled by the earliest geological stage of a time bin, here and on the timescale in Fig. 3C: Ar, Artinskian; Gz, Gzhelian.
Spatial standardization of taxon occurrence data—a call to action

February 2024

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250 Reads

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6 Citations

Paleobiology

The fossil record is spatiotemporally heterogeneous: taxon occurrence data have patchy spatial distributions, and this patchiness varies through time. Large-scale quantitative paleobiology studies that fail to account for heterogeneous sampling coverage will generate uninformative inferences at best and confidently draw wrong conclusions at worst. Explicitly spatial methods of standardization are necessary for analyses of large-scale fossil datasets, because nonspatial sample standardization, such as diversity rarefaction, is insufficient to reduce the signal of varying spatial coverage through time or between environments and clades. Spatial standardization should control both geographic area and dispersion (spread) of fossil localities. In addition to standardizing the spatial distribution of data, other factors may be standardized, including environmental heterogeneity or the number of publications or field collecting units that report taxon occurrences. Using a case study of published global Paleobiology Database occurrences, we demonstrate strong signals of sampling; without spatial standardization, these sampling signatures could be misattributed to biological processes. We discuss practical issues of implementing spatial standardization via subsampling and present the new R package divvy to improve the accessibility of spatial analysis. The software provides three spatial subsampling approaches, as well as related tools to quantify spatial coverage. After reviewing the theory, practice, and history of equalizing spatial coverage between data comparison groups, we outline priority areas to improve related data collection, analysis, and reporting practices in paleobiology.


Evolution of postcanine complexity in Gomphodontia (Therapsida: Cynodontia)

January 2024

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192 Reads

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2 Citations

Gomphodonts form a Triassic radiation of small to medium‐bodied (<0.5–2.5 m in length) quadrupedal cynodonts characterized by labiolingually expanded gomphodont postcanines. They were the dominant cynodont group in Middle and Late Triassic ecosystems from the Southern Hemisphere and the first predominantly herbivorous cynodonts to evolve. Gomphodonts were also the first therapsids to develop hypsodonty and a dentition with complex occlusal patterns, and their highly diagnostic upper and lower postcanines show many different morphologies. Here, we explored dental complexity in gomphodont cynodonts through time using geographic information system analysis and orientation patch count applied on 3D crown surfaces of upper and lower gomphodont postcanines belonging to 32 gomphodont taxa. This study reveals that the peak in postcanine complexity was reached early in the evolution of gomphodonts with the emergence in the Early Triassic of omnivorous or insectivorous forms with postcanines made of well‐separated cusps and cingular cuspules. Traversodontids evolved simpler postcanines via coalescence of cusps into crests and the development of large occlusal basins, and the Middle Triassic radiation of traversodontids led to a sharp decrease in mean postcanine complexity. Simplification of the postcanines in traversodontids is interpreted as being related to a gradual increase in the consumption of plant material. Interestingly, the trend of insectivory/omnivory high postcanine complexity and herbivory low dental complexity in gomphodonts is opposite to the trend of dental complexity reported in some extant mammals, with omnivorous having low dental complexity and herbivorous higher. Postcanine complexity remained relatively stable throughout the evolution of traversodontids and only slightly diminished in the Late Triassic due to the presence of minute forms with particularly simple postcanines in the Rhaetian. The major phylogenetic diversity and taxonomic richness of Gomphodontia are represented in two periods of time: at the end of the Anisian, an age in which the postcanine complexity is simplifying, and at the early Carnian when the postcanine complexity in traversodontids, the only Gomphodontia represented, is stable.


Figure 5. Segmented Bones from Astatotilapia calliptera, Genyochromis mento (mbuna) and Trematocranus placodon (shallow benthic). (A, left) A close up, lateral view of the head of each species (species name indicated on right), showing the dentary (green), premaxilla (pink) and lower pharyngeal jaw (purple) positioned within the a volume render of the head. (A, right) A whole body lateral view showing the aforementioned jaw bones, as well as the first non-rib-bearing vertebra (orange), the first rib-bearing (precaudal) vertebra (light blue), precaudal vertebra 8 (green), caudal vertebra 3 (orange), caudal vertebra 10 (gold) and the pre-urostyle (final caudal) vertebra (red). (B) Anterior (top) and anterolateral (bottom) view of the lower pharyngeal jaws for each species in (A). Scale for all images is shown as 1cm. See Supplementary Table 1 for details of the specimens used.
Genera and species represented within the dataset. The number of genera and species for each ecomorphological group are the same as those used in Malinsky et al., 2018 4 . *Astatotilapia calliptera, Astatotilapia sp. 'Ruaha blue' and Astatotilapia gigliolli. † If considering the addition of Lethrinops albus and Lethrinops auritus that cluster within the 'Shallow Benthics'. ‡ Includes Pallidochromis. § Includes Copadichromis trimaculatus which clusters within the shallow benthics in the phylogeny depicted in
A whole-body micro-CT scan library that captures the skeletal diversity of Lake Malawi cichlid fishes

November 2023

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87 Reads

Here we describe a dataset of freely available, readily processed, whole-body μCT-scans of 56 species (116 specimens) of Lake Malawi cichlid fishes that captures a considerable majority of the morphological variation present in this remarkable adaptive radiation. We contextualise the scanned specimens within a discussion of their respective ecomorphological groupings and suggest possible macroevolutionary studies that could be conducted with these data. We also describe a methodology to efficiently μCT-scan (on average) 23 specimens per hour, limiting scanning time and alleviating the financial cost whilst maintaining high resolution. We demonstrate the utility of this method by reconstructing 3D models of multiple bones from multiple specimens within the dataset. We hope this dataset will enable further morphological study of this fascinating system and permit wider-scale comparisons with other cichlid adaptive radiations.


Figure 1. A schematic of the species-area effect, in map view. The total sampling area (gray boxes) in A and C is twice as large as in B; these bounding regions could represent the total preserved outcrop area from three time steps or continents of comparison. Individual sampling sites within a study region are indicated with clear boxes, and species occurrences are represented with lowercase letters. Species count at an individual site is alpha diversity (annotated at only one site in each panel, for simplicity). Total species count within a study area is gamma diversity. There are many metrics for beta diversity related to species turnover between sites, but a simple and original measure is the ratio of gamma to mean alpha (Whittaker 1960, 1972). Note that both beta and gamma diversity increase as sampling area doubles from B to A, even though the distributions of alpha diversity, species' geographic range size, and site density are identical. Without accounting for the difference in sampling area, (paleo)ecologists might falsely infer time bin A more diverse than B and with smaller proportional range sizes. C also has larger beta and gamma diversity than B, despite the same number and cumulative area of sampled sites, because the dispersion between sites is larger.
Figure 3. Scatterplots indicate the relationship between species count and mean per-species' occupied grid cells in 63 time bins, either as a proportion of all occupied grid cells (A) or as a count within subsample regions of 12 cells (B). Outlier points are labeled by geological stage and overplotted on panel C: Ar, Artinskian; Gz, Gzhelian; Hir, Hirnantian. (C) Species count in each stage, either tallied globally (dashed line) or within subsampled regions (solid line). Note logarithmic y-axis scale in C. Error bars in B and C denote interquartile range across 500 replicate subsampled regions. Geological periods: O, Ordovician; S, Silurian; D, Devonian; C, Carboniferous; P, Permian; Tr, Triassic; J, Jurassic; K, Cretaceous; Pg, Paleogene; N, Neogene. The species-area effect induces strong relationships between observed richness and geographic sampling coverage. Figure 4A,B plots species count against spatial coverage of sampling; positive relationships appear in both plots, with magnitudes large enough to explain the entirety of the focal correlation above. Species count increases approximately linearly as a function of the number of equalarea grid cells in a time bin (Figure 4A), with a nonparametric correlation (Kendall's tau) of 0.41 (95% CI = [0.26, 0.56]; Figure S1A). Species count also increases monotonically as a function of the dispersion of
Figure 4. Scatterplots indicate the pairwise relationship between either species count (A and B) or mean proportional occupancy of equal-area grid cells (C and D) and spatial sampling coverage, measured as either a count of grid cells (A and C) or summed length of minimum spanning tree connecting occupied cell centroids (B and D). Outlier points are labeled by the earliest geological stage of a time bin, here and on the timescale in Figure 3C: Ar, Artinskian; Gz, Gzhelian.
Spatial standardization of taxon occurrence data—a call to action

October 2023

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141 Reads

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1 Citation

The fossil record is spatiotemporally heterogeneous: taxon occurrence data have patchy spatial distributions, and this patchiness varies through time. Inferences from large-scale quantitative paleobiology studies that fail to account for heterogeneous sampling coverage will be uninformative at best and confidently wrong at worst. Explicitly spatial methods of standardization are necessary for analyses of large-scale fossil datasets, because non-spatial sample standardization, such as diversity rarefaction, is insufficient to reduce the signal of varying spatial coverage through time or between environments and clades. Spatial standardization should control both geographic area and dispersion (spread) of fossil localities. In addition to spatial standardization, other factors may be standardized, including environmental heterogeneity or the number of publications or field collecting units that report taxon occurrences. Using a case study of published global Paleobiology Database occurrences, we demonstrate the strong signals of sampling that could be misinterpreted as biologically meaningful, and which spatial standardization accounts for successfully. We discuss practical issues of implementing spatial standardization via subsampling and present the new R package "divvy" to improve the accessibility of spatial analysis. The software provides three spatial subsampling approaches, as well as related tools to quantify spatial coverage. After reviewing the theory, practice, and history of equalizing spatial coverage between data comparison groups, we outline priority areas to improve related data collection, analysis, and reporting practices in paleobiology.


Macroevolutionary drivers of morphological disparity in the avian quadrate

October 2023

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117 Reads

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1 Citation

In birds, the quadrate bone acts as a hinge between the lower jaw and the skull, playing an important role in cranial kinesis. As such, the evolution of avian quadrate morphology may plausibly be assumed to have been influenced by selective pressures related to feeding ecology. However, variation in quadrate morphology across living birds and its potential relationship with ecology have never been quantitatively characterised. Here, we used three-dimensional geometric morphometrics and phylogenetic comparative methods to quantify morphological variation of the quadrate and its relationship with an array of key ecological features across 200 bird species covering all major extant lineages. We found non-significant associations between quadrate shape and several aspects of feeding and foraging ecology across different scales of phylogenetic comparison. By contrast, allometry and phylogeny exhibit stronger relationships with quadrate shape than other ecological features. We show that the avian quadrate evolves as an integrated unit and exhibits strong associations with the morphologies of neighbouring bones. Our results collectively suggest a macroevolutionary scenario in which the shape of the quadrate evolved jointly with other elements of the avian kinetic system, with the major lineages of birds exploring alternative quadrate morphologies-highlighting the potential diagnostic value of quadrate morphology in investigations of fossil bird systematics.


Citations (76)


... Patrick Lemaire, for instance, presented the case of ascidian embryos that develop along similar morphogenetic pathways despite possessing very different genomes [35]. Other species, such as cichlids, show the inverse condition, exhibiting substantial morphological diversity in the face of practically identical genomes [36]. Both lines of evidence converge in outlining that the GP map is nonlinear and that the reasons for this nonlinearity are to be found in developmental interactions operating at scales beyond the molecular level. ...

Reference:

The legacy and evolvability of Pere Alberch’s ideas
A whole-body micro-CT scan library that captures the skeletal diversity of Lake Malawi cichlid fishes

Scientific Data

... We also ran regression models between FL and HL as an additional step to identify potential evolutionary allometric relationships between turtle stylopodia ("Limbs dataset";N = 197). This was done because evolutionary allometric relationships between hind-and forelimbs often change over the evolution of lineages that exhibit diverse locomotory ecologies (e.g., Maidment et al. 2012;Benson et al. 2018;Rothier et al. 2024). ...

Of flippers and wings: The locomotor environment as a driver of the evolution of forelimb morphological diversity in mammals

... However, as the variance of two correlated traits are expected to be lower than the variance of the traits individually, we also inspected this relationship for evolutionary allometric relationships of other amniote groups (see below). In addition, we computed σ 2 values of the relationships of body size proxies versus humerus/femur length and femur vs. humerus length in available datasets of additional groups, namely amniotes (Campione and Evans 2012), extant birds (Field et al. 2013), nonavian dinosaurs (Benson et al. 2018), extant crocodylians (Iijima, Kubo, and Kobayashi 2018), and extant mammals (Panciroli et al. 2024). Because most of these studies (but Iijima, Kubo, and Kobayashi 2018) used body mass as a proxy with a cubic unit for body size, comparisons of σ 2 values of body size vs. stylopodial size relationships may not be directly comparable with our body size proxy (SCL), which has a unidimensional, linear unit (i.e., mm). ...

Jurassic fossil juvenile reveals prolonged life history in early mammals

Nature

... We are aware of the fact that naming a new taxon on the basis of a quadrate bone is not common. However, the quadrate is a diagnostic bone in birds, which shows strong taxonomic differences among different higher taxa of birds in the structure of its articular surfaces, as well as in the presence and location of pneumatic foramina (Samejima and Otsuka 1987;Walker 1888;Elzanowski 2000;Elzanowski and Stidham 2010;Dawson et al. 2011;Elzanowski and Boles 2015;Kuo et al. 2024 Buteogallus hibbardi (Campbell 1979). ...

Macroevolutionary drivers of morphological disparity in the avian quadrate

... Over 90 % of the moose records were found in areas where mean summer temperature was below 19 • C, with July temperatures exhibiting >3-times narrower IQ range compared to January temperatures at the study sites. We are aware that the distribution of moose samples analysed over large temporal and spatial scales may be biased by the probability of subfossil detection due to differences among study sites in collecting effort and/or environmental conditions affecting the preservation of animal remains, which may substantially impact the results obtained (Antell et al., 2024;Reitan et al., 2023Reitan et al., , 2024. On the other hand, this finding aligns with other studies based on modern moose populations, demonstrating the species' sensitivity to high temperatures. ...

Spatial standardization of taxon occurrence data—a call to action

Paleobiology

... Barbacka et al., 2022;Qvarnström et al., 2019) and gross anatomy (e.g. Hunt et al., 2023;Qvarnström et al., 2021;Radermacher et al., 2021). ...

A description of the palate and mandible of Youngina capensis (Sauropsida, Diapsida) based on synchrotron tomography, and the phylogenetic implications
  • Citing Article
  • September 2023

Papers in Palaeontology

... Before osteohistological research on early-diverging Paracrocodylomorpha taxa, pseudosuchians were traditionally associated with slower growth rates compared to its sistertaxon Avemetatarsalia (pterosaurs, non-avian and avian dinosaurs) (de Buffrénil & Castanet, 2000;de Ricqlès et al., 2003;Woodward et al., 2014). Currently, it is known that avemetatarsalians generally exhibit higher growth rates, maintaining a fibrolamellar complex throughout most of their ontogeny in their bone tissues (see Bailleul et al., 2019;Botha et al., 2023;Chinsamy-Turan, 2005;Rogers et al., 2024). Conversely, osteohistological studies conducted in the last two decades on Poposauroidea and non-crocodylomorph Loricata, mostly known from largesized quadrupedal forms ranging from 3 to 10 m, and traditionally referred to as the paraphyletic "Rauisuchia" (Rezende et al., 2022;von Baczko et al., 2024), suggest a greater variety of growth patterns in Pseudosuchia than previously assumed (see Botha et al., 2023;de Ricqlès et al., 2003de Ricqlès et al., , 2008Farias et al., 2024;Klein, 2024;Klein et al., 2017;Legendre et al., 2013;Nesbitt, 2007;Ponce et al., 2023;Rogers et al., 2024;Schachner et al., 2019Schachner et al., , 2023, comparable to dinosaurs during certain stages of ontogeny. ...

Origins of slow growth on the crocodilian stem lineage
  • Citing Article
  • September 2023

Current Biology

... Also, the turtle body plan persists already for 230 million years, whereby turtles have survived several mass extinctions, including the K-Pg event (e.g., Hutchison and Archibald 1986;Lyson and Joyce 2009;Holroyd, Wilson, and Hutchison 2014;Pérez-García 2020;Cleary et al. 2020;Evers and Joyce 2020). Turtle K-Pg survivorship is insofar noteworthy as they are among the few marine tetrapod survivors (e.g., Barbosa, Kellner, and Viana 2008; and as terrestrially surviving turtle lineages do not provide evidence for extinction patterns seen among other vertebrates, such as an absence of a "Lilliput effect" of selective extinction of large body sizes seen in mammals or birds (e.g., Wilson 2013;Berv and Field 2018;Farina et al. 2023). This is despite large variation in turtle body sizes through time (Farina et al. 2023). ...

Turtle body size evolution is determined by lineage-specific specializations rather than global trends

... These changes occurred at both local and continental scales. Mammalian diversity had a fourfold increase across this 10 Myr period [45,46], with increasing body size and body size variation within ~300 000 ka following the mass extinction [47]. Increasing body size was likely a major contributor to the expansion in ecological roles [11] as body size strongly influences mammal ecology [23,[47][48][49][50]. ...

Early Cenozoic increases in mammal diversity cannot be explained solely by expansion into larger body sizes

Palaeontology

... While the caudal ends of the mandibles of Asteriornis have proved to be less well preserved than originally interpreted, other aspects of the cranial osteology of Asteriornis are sufficiently complete and well preserved to be incorporated into threedimensional investigations of avian skeletal evolution. For instance, the quadrate of Asteriornis (Fig. 11) was pivotal for constraining anatomical reconstructions in a macroevolutionary investigation of Galloanserae (Kuo et al., 2023), demonstrating that the quadrate morphology of the ancestral crown galloanseran would have been substantially more similar morphologically and functionally to that of extant galliforms than to extant anseriforms, conflicting with reconstructions based on extant taxa alone. Those results demonstrate the necessity of incorporating fossil taxa into ancestral state reconstructions of skeletal geometry whenever possiblea conclusion applicable well beyond Galloanserae. ...

The influence of fossils in macroevolutionary analyses of 3D geometric morphometric data: A case study of galloanseran quadrates

Journal of Morphology