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

Fire is a keystone process that drives patterns of biodiversity globally. In frequently burned fire-dependent ecosystems, surface fire regimes allow for the coexistence of high plant diversity at fine scales even where soils are uniform. The mechanisms on how fire impacts groundcover community dynam...

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Main Authors: E. Louise Loudermilk, Lee Dyer, Scott Pokswinski, Andrew T. Hudak, Benjamin Hornsby, Lora Richards, Jane Dell, Scott L. Goodrick, J. Kevin Hiers, Joseph J. O’Brien
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-09-01
Series:Frontiers in Plant Science
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2019.01107/full
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author E. Louise Loudermilk
Lee Dyer
Scott Pokswinski
Andrew T. Hudak
Benjamin Hornsby
Lora Richards
Jane Dell
Scott L. Goodrick
J. Kevin Hiers
Joseph J. O’Brien
author_facet E. Louise Loudermilk
Lee Dyer
Scott Pokswinski
Andrew T. Hudak
Benjamin Hornsby
Lora Richards
Jane Dell
Scott L. Goodrick
J. Kevin Hiers
Joseph J. O’Brien
author_sort E. Louise Loudermilk
collection DOAJ
description Fire is a keystone process that drives patterns of biodiversity globally. In frequently burned fire-dependent ecosystems, surface fire regimes allow for the coexistence of high plant diversity at fine scales even where soils are uniform. The mechanisms on how fire impacts groundcover community dynamics are, however, poorly understood. Because fire can act as a stochastic agent of mortality, we hypothesized that a neutral mechanism might be responsible for maintaining plant diversity. We used the demographic parameters of the unified neutral theory of biodiversity (UNTB) as a foundation to model groundcover species richness, using a southeastern US pine woodland as an example. We followed the fate of over 7,000 individuals of 123 plant species for 4 years and two prescribed burns in frequently burned Pinus palustris sites in northwest FL, USA. Using these empirical data and UNTB-based assumptions, we developed two parsimonious autonomous agent models, which were distinct by spatially explicit and implicit local recruitment processes. Using a parameter sensitivity test, we examined how empirical estimates, input species frequency distributions, and community size affected output species richness. We found that dispersal limitation was the most influential parameter, followed by mortality and birth, and that these parameters varied based on scale of the frequency distributions. Overall, these nominal parameters were useful for simulating fine-scale groundcover communities, although further empirical analysis of richness patterns, particularly related to fine-scale burn severity, is needed. This modeling framework can be utilized to examine our premise that localized groundcover assemblages are neutral communities at high fire frequencies, as well as to examine the extent to which niche-based dynamics determine community dynamics when fire frequency is altered.
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spelling doaj.art-2594910cbd2a48089fcfe98312b7398f2022-12-22T02:25:27ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2019-09-011010.3389/fpls.2019.01107460103Simulating Groundcover Community Assembly in a Frequently Burned Ecosystem Using a Simple Neutral ModelE. Louise Loudermilk0Lee Dyer1Scott Pokswinski2Andrew T. Hudak3Benjamin Hornsby4Lora Richards5Jane Dell6Scott L. Goodrick7J. Kevin Hiers8Joseph J. O’Brien9USDA Forest Service, Southern Research Station, Center for Forest Disturbance Science, Athens, GA, United StatesDepartment of Biology, University of Nevada, Reno, Reno, NV, United StatesTall Timbers Research Station and Conservancy, Tallahassee, FL, United StatesUSDA Forest Service, Rocky Mountain Research Station, Forestry Sciences Laboratory, Moscow, ID, United StatesUSDA Forest Service, Southern Research Station, Center for Forest Disturbance Science, Athens, GA, United StatesDepartment of Biology, University of Nevada, Reno, Reno, NV, United StatesDepartment of Biology, University of Nevada, Reno, Reno, NV, United StatesUSDA Forest Service, Southern Research Station, Center for Forest Disturbance Science, Athens, GA, United StatesTall Timbers Research Station and Conservancy, Tallahassee, FL, United StatesUSDA Forest Service, Southern Research Station, Center for Forest Disturbance Science, Athens, GA, United StatesFire is a keystone process that drives patterns of biodiversity globally. In frequently burned fire-dependent ecosystems, surface fire regimes allow for the coexistence of high plant diversity at fine scales even where soils are uniform. The mechanisms on how fire impacts groundcover community dynamics are, however, poorly understood. Because fire can act as a stochastic agent of mortality, we hypothesized that a neutral mechanism might be responsible for maintaining plant diversity. We used the demographic parameters of the unified neutral theory of biodiversity (UNTB) as a foundation to model groundcover species richness, using a southeastern US pine woodland as an example. We followed the fate of over 7,000 individuals of 123 plant species for 4 years and two prescribed burns in frequently burned Pinus palustris sites in northwest FL, USA. Using these empirical data and UNTB-based assumptions, we developed two parsimonious autonomous agent models, which were distinct by spatially explicit and implicit local recruitment processes. Using a parameter sensitivity test, we examined how empirical estimates, input species frequency distributions, and community size affected output species richness. We found that dispersal limitation was the most influential parameter, followed by mortality and birth, and that these parameters varied based on scale of the frequency distributions. Overall, these nominal parameters were useful for simulating fine-scale groundcover communities, although further empirical analysis of richness patterns, particularly related to fine-scale burn severity, is needed. This modeling framework can be utilized to examine our premise that localized groundcover assemblages are neutral communities at high fire frequencies, as well as to examine the extent to which niche-based dynamics determine community dynamics when fire frequency is altered.https://www.frontiersin.org/article/10.3389/fpls.2019.01107/fullneutral theorylongleaf pinecellular automatagroundcover communitiesfrequent firescale
spellingShingle E. Louise Loudermilk
Lee Dyer
Scott Pokswinski
Andrew T. Hudak
Benjamin Hornsby
Lora Richards
Jane Dell
Scott L. Goodrick
J. Kevin Hiers
Joseph J. O’Brien
Simulating Groundcover Community Assembly in a Frequently Burned Ecosystem Using a Simple Neutral Model
Frontiers in Plant Science
neutral theory
longleaf pine
cellular automata
groundcover communities
frequent fire
scale
title Simulating Groundcover Community Assembly in a Frequently Burned Ecosystem Using a Simple Neutral Model
title_full Simulating Groundcover Community Assembly in a Frequently Burned Ecosystem Using a Simple Neutral Model
title_fullStr Simulating Groundcover Community Assembly in a Frequently Burned Ecosystem Using a Simple Neutral Model
title_full_unstemmed Simulating Groundcover Community Assembly in a Frequently Burned Ecosystem Using a Simple Neutral Model
title_short Simulating Groundcover Community Assembly in a Frequently Burned Ecosystem Using a Simple Neutral Model
title_sort simulating groundcover community assembly in a frequently burned ecosystem using a simple neutral model
topic neutral theory
longleaf pine
cellular automata
groundcover communities
frequent fire
scale
url https://www.frontiersin.org/article/10.3389/fpls.2019.01107/full
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