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Ecological and evolutionary dynamics of interconnectedness and modularity.

Jan M Nordbotten1,2, Simon A Levin3, Eörs Szathmáry4,5,6

  • 1Department of Mathematics, University of Bergen, N-5020 Bergen, Norway.

Proceedings of the National Academy of Sciences of the United States of America
|January 10, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a theoretical framework linking micro-level ecological dynamics and evolution to macro-level ecosystem properties like modularity. It helps predict how ecosystems change structure under different environmental and evolutionary pressures.

Keywords:
macroecological patternsmacroevolutionary patternsmathematical modelingmicroevolutionpopulation biology

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Area of Science:

  • Theoretical Ecology
  • Evolutionary Biology
  • Complex Systems

Background:

  • Ecosystems exhibit complex structures, including modularity and interconnectedness.
  • Understanding the link between micro-level processes (population dynamics, evolution) and macro-level phenomena is a key challenge in ecology.

Purpose of the Study:

  • To develop a theoretical framework connecting micro-level population dynamics and evolution with macro-level ecosystem properties.
  • To provide a method for measuring interconnectedness and modularity in ecological systems.
  • To identify conditions under which ecosystems become more or less modular.

Main Methods:

  • Developed a theoretical framework for linking microprocesses (population dynamics, natural selection) with macrophenomena (interconnectedness, modularity).
  • Introduced a measure of interconnectedness for population distributions on a trait space.
  • Integrated an evolution equation for population distributions.

Main Results:

  • The framework allows for the analysis of ecosystem modularity drivers.
  • Drivers of macro-level change (interconnectedness) can be decomposed into ecological, evolutionary, and environmental components.
  • Provides a platform for understanding ecosystem evolution towards modularity.

Conclusions:

  • The theoretical framework successfully links micro- and macro-level ecological processes.
  • The study offers insights into the drivers of ecosystem structure and evolution.
  • This work facilitates predictions about ecosystem modularity under varying conditions.