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 in | Ecological modelling Vol. 291; pp. 224 - 232 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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. |
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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 – sequence: 2 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 – sequence: 3 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 – sequence: 4 givenname: Alessandra surname: Fidelis fullname: Fidelis, Alessandra email: afidelis@rc.unesp.br organization: Departamento de Botânica, UNESP—Univ. Estadual Paulista, Av. 24A, 1515, CEP 13506-900 Rio Claro, Brazil – sequence: 5 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 |
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