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Simulating Groundcover Community Assembly in a Frequently Burned Ecosystem Using a Simple Neutral Model.

E Louise Loudermilk1, Lee Dyer2, Scott Pokswinski3

  • 1USDA Forest Service, Southern Research Station, Center for Forest Disturbance Science, Athens, GA, United States.

Frontiers in Plant Science
|October 2, 2019
PubMed
Summary
This summary is machine-generated.

Fire maintains plant diversity in frequently burned ecosystems. Neutral theory modeling suggests dispersal limitation, mortality, and birth rates are key drivers of groundcover species richness.

Keywords:
Fourier amplitude sensitivity testcellular automatafrequent firegroundcover communitieslongleaf pineneutral theoryscalespatial dispersal

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Area of Science:

  • Ecology
  • Biodiversity Science
  • Ecological Modeling

Background:

  • Fire is a critical ecological process influencing global biodiversity patterns.
  • Frequently burned ecosystems, like southeastern US pine woodlands, exhibit high plant diversity due to surface fire regimes.
  • The precise mechanisms by which fire affects groundcover community dynamics remain unclear, prompting investigation into neutral mechanisms.

Purpose of the Study:

  • To investigate the role of neutral mechanisms in maintaining plant diversity in fire-driven ecosystems.
  • To model groundcover species richness using demographic parameters from the unified neutral theory of biodiversity (UNTB).
  • To assess the influence of dispersal limitation, mortality, and birth rates on simulated species richness.

Main Methods:

  • Empirical data collection on over 7,000 individuals from 123 plant species over 4 years, including two prescribed burns in *Pinus palustris* sites.
  • Development of two autonomous agent models based on UNTB assumptions, differing in spatial explicitness of local recruitment.
  • Parameter sensitivity testing to evaluate the impact of empirical estimates, species frequency distributions, and community size on species richness.

Main Results:

  • Dispersal limitation emerged as the most significant parameter influencing simulated species richness, followed by mortality and birth rates.
  • The influence of these demographic parameters varied with the scale of species frequency distributions.
  • The developed models successfully simulated fine-scale groundcover communities.

Conclusions:

  • Nominal parameters derived from UNTB are effective for simulating fine-scale plant communities in frequently burned ecosystems.
  • Dispersal limitation plays a crucial role in maintaining species richness in these environments.
  • Further empirical research on burn severity is needed, and the modeling framework can explore neutral versus niche-based dynamics under altered fire frequencies.