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Investigating Biotic Interactions in Deep Time.

Danielle Fraser1, Laura C Soul2, Anikó B Tóth3

  • 1Palaeobiology, Canadian Museum of Nature, Ottawa, ON, Canada; Biology and Earth Sciences, Carleton University, Ottawa, ON, Canada; Department of Paleobiology and Evolution of Terrestrial Ecosystems Program, Smithsonian Institution, National Museum of Natural History, Washington, DC , USA.

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Summary
This summary is machine-generated.

Fossil data reveal that species interactions, not just climate change, significantly drive evolution and biodiversity over long timescales. This research highlights the crucial role of biotic interactions in shaping life

Keywords:
biotic interactionsextinctionfossil recordmacroecologymacroevolutionpaleobiologypaleontology

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Area of Science:

  • Paleontology
  • Evolutionary Biology
  • Ecology

Background:

  • Traditionally, long-term climate change was considered the main driver of biodiversity.
  • Recent research is shifting focus to the role of biotic interactions.

Purpose of the Study:

  • To challenge the assumption that climate is the primary driver of biodiversity change.
  • To present evidence for the significant role of biotic interactions in evolution.
  • To explore how biotic interactions shape communities and lineages.

Main Methods:

  • Analyzing macroevolutionary rates using fossil data.
  • Investigating the impacts and recovery from extinction events.
  • Modeling the effects of human activities (Homo sapiens) on non-human species interactions.

Main Results:

  • Fossil data provide evidence for the measurable impact of biotic interactions on evolutionary trajectories.
  • Biotic interactions play a key role in shaping communities and lineages over geological time.
  • New analytical approaches explicitly model biotic interactions.

Conclusions:

  • Biotic interactions are a crucial, measurable factor in the long-term evolution of life.
  • Understanding evolutionary history requires integrating biotic interactions alongside environmental factors.
  • Future research should continue to model biotic interactions to understand biodiversity dynamics.