Feedbacks between vegetation and disturbance processes promote long-term persistence of forest–grassland mosaics in south Brazil

•We model dynamics of forest–grassland mosaics and fire in south Brazil.•We developed a spatially explicit dynamic global vegetation model.•Under frequent fires but implicit space, the potential vegetation is forest.•Seed dispersal delayed spatial dynamics even in the absence of fire.•Spatial patter...

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Published inEcological modelling Vol. 291; pp. 224 - 232
Main Authors Blanco, Carolina Casagrande, Scheiter, Simon, Sosinski, Enio, Fidelis, Alessandra, Anand, Madhur, Pillar, Valério D.
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 10.11.2014
Elsevier
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Abstract •We model dynamics of forest–grassland mosaics and fire in south Brazil.•We developed a spatially explicit dynamic global vegetation model.•Under frequent fires but implicit space, the potential vegetation is forest.•Seed dispersal delayed spatial dynamics even in the absence of fire.•Spatial patterns of vegetation patches determined long-term stability of alternative states. Vegetation changes, such as shrub encroachment and forest expansion over grasslands, prairies and savannas have been related to changes in climatic (mainly rainfall and temperature) and atmospheric conditions (CO2 concentration). However, a longstanding question in ecology is how mosaics of forests and open-canopy ecosystems could persist over millennia in sites where climatic conditions favor forests. Here we tested the influence of interactions between grass-tree competition, environmental heterogeneity (topography), seed dispersal, initial density and spatial aggregation of vegetation patches and disturbance behavior (fire) on the long-term coexistence of forests and grasslands in South Brazil. For this, we incorporated the adaptive dynamic global vegetation model (aDGVM) into a spatially explicit modeling approach (2D-aDGVM). Our results showed that recurrent disturbance related to grasses such as fires plays a key role in maintaining the long-term coexistence of forests and grasslands, mainly through feedbacks between disturbance frequency and grass biomass. Topographic heterogeneity affected the rate of forest expansion by adding spatio-temporal variability in vegetation-fire feedbacks. However, the spatial pattern and connectivity of fire-prone (grasslands) and fire-sensitive (forest) vegetation patches were more important to maintain the long-term coexistence of both alternative vegetation states than the initial proportion of forest and grasslands patches. The model is the first individual-based DGVM to consider the combined effects of topography, seed dispersal and fire spread behavior in a spatially explicit approach.
AbstractList •We model dynamics of forest–grassland mosaics and fire in south Brazil.•We developed a spatially explicit dynamic global vegetation model.•Under frequent fires but implicit space, the potential vegetation is forest.•Seed dispersal delayed spatial dynamics even in the absence of fire.•Spatial patterns of vegetation patches determined long-term stability of alternative states. Vegetation changes, such as shrub encroachment and forest expansion over grasslands, prairies and savannas have been related to changes in climatic (mainly rainfall and temperature) and atmospheric conditions (CO2 concentration). However, a longstanding question in ecology is how mosaics of forests and open-canopy ecosystems could persist over millennia in sites where climatic conditions favor forests. Here we tested the influence of interactions between grass-tree competition, environmental heterogeneity (topography), seed dispersal, initial density and spatial aggregation of vegetation patches and disturbance behavior (fire) on the long-term coexistence of forests and grasslands in South Brazil. For this, we incorporated the adaptive dynamic global vegetation model (aDGVM) into a spatially explicit modeling approach (2D-aDGVM). Our results showed that recurrent disturbance related to grasses such as fires plays a key role in maintaining the long-term coexistence of forests and grasslands, mainly through feedbacks between disturbance frequency and grass biomass. Topographic heterogeneity affected the rate of forest expansion by adding spatio-temporal variability in vegetation-fire feedbacks. However, the spatial pattern and connectivity of fire-prone (grasslands) and fire-sensitive (forest) vegetation patches were more important to maintain the long-term coexistence of both alternative vegetation states than the initial proportion of forest and grasslands patches. The model is the first individual-based DGVM to consider the combined effects of topography, seed dispersal and fire spread behavior in a spatially explicit approach.
Vegetation changes, such as shrub encroachment and forest expansion over grasslands, prairies and savannas have been related to changes in climatic (mainly rainfall and temperature) and atmospheric conditions (CO2 concentration). However, a longstanding question in ecology is how mosaics of forests and open-canopy ecosystems could persist over millennia in sites where climatic conditions favor forests. Here we tested the influence of interactions between grass-tree competition, environmental heterogeneity (topography), seed dispersal, initial density and spatial aggregation of vegetation patches and disturbance behavior (fire) on the long-term coexistence of forests and grasslands in South Brazil. For this, we incorporated the adaptive dynamic global vegetation model (aDGVM) into a spatially explicit modeling approach (2D-aDGVM). Our results showed that recurrent disturbance related to grasses such as fires plays a key role in maintaining the long-term coexistence of forests and grasslands, mainly through feedbacks between disturbance frequency and grass biomass. Topographic heterogeneity affected the rate of forest expansion by adding spatio-temporal variability in vegetation-fire feedbacks. However, the spatial pattern and connectivity of fire-prone (grasslands) and fire-sensitive (forest) vegetation patches were more important to maintain the long-term coexistence of both alternative vegetation states than the initial proportion of forest and grasslands patches. The model is the first individual-based DGVM to consider the combined effects of topography, seed dispersal and fire spread behavior in a spatially explicit approach.
Author Anand, Madhur
Fidelis, Alessandra
Sosinski, Enio
Scheiter, Simon
Pillar, Valério D.
Blanco, Carolina Casagrande
Author_xml – sequence: 1
  givenname: Carolina Casagrande
  surname: Blanco
  fullname: Blanco, Carolina Casagrande
  email: carolynablanco@gmail.com
  organization: Laboratory of Quantitative Ecology, Universidade Federal do Rio Grande do Sul., Av. Bento Gonçalves, no. 9500, Setor 4., Prédio 43411, Sala 205, CEP 91540-000 Porto Alegre, RS, Brazil
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  givenname: Simon
  surname: Scheiter
  fullname: Scheiter, Simon
  email: scheiter@em.uni-frankfurt.de
  organization: Biodiversität und Klima Forschungszentrum (LOEWE BiK-F), Senckenberg Gesellschaft für Naturforschung, Senckenberganlage 25, 60325 Frankfurt am Main, Germany
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  givenname: Enio
  surname: Sosinski
  fullname: Sosinski, Enio
  email: enio.sosinski@embrapa.br
  organization: Embrapa Temperate Agriculture, Rodovia BR 392, Km 78, CEP 96010-971 Pelotas, RS, Brazil
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  givenname: Alessandra
  surname: Fidelis
  fullname: Fidelis, Alessandra
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  organization: Departamento de Botânica, UNESP—Univ. Estadual Paulista, Av. 24A, 1515, CEP 13506-900 Rio Claro, Brazil
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  givenname: Madhur
  surname: Anand
  fullname: Anand, Madhur
  email: manand@uoguelph.ca
  organization: Global Ecological Change (GEC) & Sustainability Laboratory, School of Environmental Sciences, University of Guelph, N1G 2W1 Guelph, ON, Canada
– sequence: 6
  givenname: Valério D.
  surname: Pillar
  fullname: Pillar, Valério D.
  email: vpillar@ufrgs.br
  organization: Laboratory of Quantitative Ecology, Universidade Federal do Rio Grande do Sul., Av. Bento Gonçalves, no. 9500, Setor 4., Prédio 43411, Sala 205, CEP 91540-000 Porto Alegre, RS, Brazil
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Keywords Spatial heterogeneity
Alternative stable states
Subtropical grasslands
Seed dispersal
Forest expansion
DGVM
Grassland
Forests
Seeds
Perturbation
Long term
Dispersion
Persistence
Heterogeneity
Feedback
Vegetation
Models
Expansion
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Snippet •We model dynamics of forest–grassland mosaics and fire in south Brazil.•We developed a spatially explicit dynamic global vegetation model.•Under frequent...
Vegetation changes, such as shrub encroachment and forest expansion over grasslands, prairies and savannas have been related to changes in climatic (mainly...
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SubjectTerms Alternative stable states
Animal and plant ecology
Animal, plant and microbial ecology
Biological and medical sciences
biomass
Brazil
carbon dioxide
climate change
climatic factors
DGVM
Disturbances
Ecology
ecosystems
Feedback
fire spread
Fires
Forest expansion
Forestry
Forests
Fundamental and applied biological sciences. Psychology
General aspects. Techniques
General forest ecology
Generalities. Production, biomass. Quality of wood and forest products. General forest ecology
grasses
Grasslands
Heterogeneity
Methods and techniques (sampling, tagging, trapping, modelling...)
prairies
rain
savannas
Seed dispersal
shrubs
Spatial heterogeneity
Subtropical grasslands
Synecology
temperature
Terrestrial ecosystems
topography
Vegetation
Title Feedbacks between vegetation and disturbance processes promote long-term persistence of forest–grassland mosaics in south Brazil
URI https://dx.doi.org/10.1016/j.ecolmodel.2014.07.024
https://www.proquest.com/docview/1639985375
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https://www.proquest.com/docview/2000191991
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