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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/116508
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dc.contributor.authorBlanco, Carolina Casagrande-
dc.contributor.authorScheiter, Simon-
dc.contributor.authorSosinski, Enio-
dc.contributor.authorFidelis, Alessandra-
dc.contributor.authorAnand, Madhur-
dc.contributor.authorPillar, Valerio D.-
dc.date.accessioned2015-03-18T15:53:26Z-
dc.date.accessioned2016-10-25T20:24:57Z-
dc.date.available2015-03-18T15:53:26Z-
dc.date.available2016-10-25T20:24:57Z-
dc.date.issued2014-11-10-
dc.identifierhttp://dx.doi.org/10.1016/j.ecolmodel.2014.07.024-
dc.identifier.citationEcological Modelling. Amsterdam: Elsevier Science Bv, v. 291, p. 224-232, 2014.-
dc.identifier.issn0304-3800-
dc.identifier.urihttp://hdl.handle.net/11449/116508-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/116508-
dc.description.abstractVegetation 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. (C) 2014 Elsevier B.V. All rights reserved.en
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
dc.description.sponsorshipInteramerican Institute for Global Change Research (IAI)-
dc.description.sponsorshipUS National Science Foundation-
dc.description.sponsorshipLOEWE-Landes-Offensive zur Entwicklung Wissenschaftlich-okonomischer Exzellenz of Hesse's Ministry of Higher Education, Research, and the Arts-
dc.format.extent224-232-
dc.language.isoeng-
dc.publisherElsevier B.V.-
dc.sourceWeb of Science-
dc.subjectDGVMen
dc.subjectAlternative stable statesen
dc.subjectSpatial heterogeneityen
dc.subjectSeed dispersalen
dc.subjectForest expansionen
dc.subjectSubtropical grasslandsen
dc.titleFeedbacks between vegetation and disturbance processes promote long-term persistence of forest-grassland mosaics in south Brazilen
dc.typeoutro-
dc.contributor.institutionUniv Fed Rio Grande do Sul-
dc.contributor.institutionBiodiversitat & Klima Forschungszentrum LOEWE BiK-
dc.contributor.institutionEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniv Guelph-
dc.description.affiliationUniv Fed Rio Grande do Sul, Lab Quantitat Ecol, BR-91540000 Porto Alegre, RS, Brazil-
dc.description.affiliationBiodiversitat & Klima Forschungszentrum LOEWE BiK, Senckenberg Gesell Naturforsch, D-60325 Frankfurt, Germany-
dc.description.affiliationEmbrapa Temperate Agr, BR-96010971 Pelotas, RS, Brazil-
dc.description.affiliationUNESP Univ Estadual Paulista, Dept Bot, BR-13506900 Rio Claro, Brazil-
dc.description.affiliationUniv Guelph, Sch Environm Sci, Global Ecol Change GEC & Sustainabil Lab, Guelph, ON N1G 2W1, Canada-
dc.description.affiliationUnespUNESP Univ Estadual Paulista, Dept Bot, BR-13506900 Rio Claro, Brazil-
dc.description.sponsorshipIdInteramerican Institute for Global Change Research (IAI) CRN-2005-
dc.description.sponsorshipIdUS National Science Foundation GEO-0452325-
dc.identifier.doi10.1016/j.ecolmodel.2014.07.024-
dc.identifier.wosWOS:000343386500020-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofEcological Modelling-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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