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Deciphering trophic interactions in a mid-Cambrian assemblage.

Anshuman Swain1, Matthew Devereux2, William F Fagan1

  • 1Department of Biology, University of Maryland, College Park, MD 20742, USA.

Iscience
|April 5, 2021
PubMed
Summary
This summary is machine-generated.

Fossil network analysis reveals ancient ecological interactions. A new method corrects for preservation bias, showing a shift from specialist to generalist and competitive interactions in the Cambrian Burgess Shale.

Keywords:
Biological SciencesEvolutionary BiologyPaleobiology

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Area of Science:

  • Paleontology
  • Ecology
  • Network Analysis

Background:

  • Fossil sites enable study of ancient trophic interactions using network analysis.
  • Fossil record analysis is limited by incomplete data, time averaging, and preservation bias.

Purpose of the Study:

  • To develop a taphonomically corrected framework for analyzing fossil data.
  • To investigate ecological interactions in the mid-Cambrian Burgess Shale.

Main Methods:

  • Utilized a high-resolution fossil dataset (7,549 specimens, 61 taxa) from the Burgess Shale.
  • Formulated a "preservation bias" measure to identify reliable assemblage subsets for analysis.
  • Applied abundance correlation network analyses to predict interactions.

Main Results:

  • Network analyses accurately predicted known trophic interactions (83.5% accuracy).
  • Identified a significant ecological shift from specialist-dominated to generalist and competitive interactions.
  • Demonstrated the reliability of network analysis after correcting for preservation bias.

Conclusions:

  • The developed method provides a robust, taphonomically corrected framework for fossil interaction studies.
  • Ecological dynamics in the Cambrian Burgess Shale shifted towards generalist and competitive interactions.
  • This approach enhances the exploration and prediction of ecological characteristics in fossil datasets.