Published May 10, 2022 | Version v1
Dataset Open

Data associated with: Global ecomorphological restructuring of dominant marine reptiles prior to the K/Pg mass extinction

  • 1. University of Liège
  • 2. CR2P, Muséum National d'Histoire Naturelle*

Description

Mosasaurid squamates were the dominant amniote predators in marine ecosystems during most of the Late Cretaceous. Here, we use a suite of biomechanically rooted, functionally descriptive ratios in a framework adapted from population ecology to investigate how the morphofunctional disparity of mosasaurids evolved prior to the Cretaceous-Paleogene (K/Pg) mass extinction. Our results suggest that taxonomic turnover in mosasaurid community composition from Campanian to Maastrichtian is reflected by a notable global increase in morphofunctional disparity, especially driven the North American record. Ecomorphospace occupation becomes polarised during the Late Maastrichtian, with morphofunctional disparity plateauing in the Southern Hemisphere and decreasing in the Northern Hemisphere. We show that these changes are not strongly associated with mosasaurid size, but rather with the functional capacities of their skulls. Our novel approach indicates that mosasaurid morphofunctional disparity was in decline in multiple provincial communities before the K-Pg mass extinction, highlighting region-specific patterns of disparity evolution and the importance of assessing vertebrate extinctions both globally and locally. Ecomorphological differentiation in mosasaurid communities, coupled with declines in other formerly abundant marine reptile groups, indicates widespread restructuring of higher trophic levels in marine food webs was well underway when the K/Pg mass extinction took place.

Notes

Measurements were recorded from 2D images. These were recorded in mm. These raw data can be processed at will in a variety of ways.

Converted trait data per species has been pre-analysed to produce ratios. These data should not be treated as raw variables.

The R-code includes commands to call all relevant packages to run the entire code. This code should be capable of running the full suite of analyses in RStudio 2021.09.1 / R 4.1.2

Check the README.txt file for full details

Funding provided by: Fonds De La Recherche Scientifique - FNRS
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100002661
Award Number: MIS F.4511.19

Files

MacLaren_al_Raw_Measurements_ProcB.csv

Files (31.8 kB)

Name Size Download all
md5:2b9dc3d592759db8a0da248f107a754f
17.2 kB Preview Download
md5:9b9123f9dd8628689a2517642e5b91e1
14.3 kB Preview Download
md5:8fac5cde6cb01ac0092f971e6b63b8f2
273 Bytes Preview Download

Additional details

Related works

Is cited by
10.1101/2021.12.30.474572 (DOI)
Is derived from
10.5281/zenodo.6535120 (DOI)
Is source of
10.5281/zenodo.6386627 (DOI)