Biogeografia neutra e a evolução de redes complexas de interações bióticas
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFG |
Texto Completo: | http://repositorio.bc.ufg.br/tede/handle/tede/6811 |
Resumo: | A contemporary goal in ecology is to determine the ecological and evolutionary processes that generates the recurring structural patterns in mutualistic networks. One of the greatest challenges is testing the capacity of neutral processes to replicate observed patterns in ecological networks, since original formulation of neutral theory lacks trophic interactions. Here, we developed a stochastic simulation neutral model adding trophic interactions to the neutral theory of biodiversity. We show that our model is able to reproduce accurately the evolutionary conservatism of interacting species, as well as the most common structural patterns observed in nature. Moreover, we found that evolutionary conservatism of interacting species increases with lowmigration rate.Low migration rates promote both spatial and temporal autocorrelation of phylogenetic related species, which have a higher chance of interacting randomly with the same set of partners. Random migration , in addition to speciation and probability of interaction, are also partially responsible for connectance, degree distribution, and nested structure of mutualistic networks. These findings have broad implications to the interpretation of niche-based processes as unique drives of ecological networks, as well as the integration of network structures with demographic stochasticity. |
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Rangel, Thiago Fernando Lopes Valle de Brittohttp://lattes.cnpq.br/1613666671361533Rangel, Thiago Fernando Lopes Valle de BrittoCianciaruso, Marcus ViniciusDambros, Cristian de Saleshttp://lattes.cnpq.br/0422644218781900Coelho, Marco Túlio Pacheco2017-02-01T14:11:43Z2016-02-24COELHO, M. T. P. Biogeografia neutra e a evolução de redes complexas de interações bióticas. 2016. 82 f. Dissertação (Mestrado em Ecologia e Evolução) - Universidade Federal de Goiás, Goiânia, 2016.http://repositorio.bc.ufg.br/tede/handle/tede/6811ark:/38995/0013000005d3pA contemporary goal in ecology is to determine the ecological and evolutionary processes that generates the recurring structural patterns in mutualistic networks. One of the greatest challenges is testing the capacity of neutral processes to replicate observed patterns in ecological networks, since original formulation of neutral theory lacks trophic interactions. Here, we developed a stochastic simulation neutral model adding trophic interactions to the neutral theory of biodiversity. We show that our model is able to reproduce accurately the evolutionary conservatism of interacting species, as well as the most common structural patterns observed in nature. Moreover, we found that evolutionary conservatism of interacting species increases with lowmigration rate.Low migration rates promote both spatial and temporal autocorrelation of phylogenetic related species, which have a higher chance of interacting randomly with the same set of partners. Random migration , in addition to speciation and probability of interaction, are also partially responsible for connectance, degree distribution, and nested structure of mutualistic networks. These findings have broad implications to the interpretation of niche-based processes as unique drives of ecological networks, as well as the integration of network structures with demographic stochasticity.Um objetivo recente em ecologia é determinar os processos ecológicos e evolutivos capazes de gerar os padrões estruturais recorrentes de redes de interação mutualística. Um dos grandes desafios é testar a capacidade de processos neutros replicarem os padrões observados de redes de interação, já que a formulação original da teoria neutra não abrange interações tróficas. Nesse trabalho, nós desenvolvemos um modelo de simulação estocástico neutro e adicionamos interações tróficas à Teoria Neutra da Biodiversidade. Nós mostramos que o nosso modelo é capaz de reproduzir de maneira precisa a conservação de interações, assim como os mais comuns padrões estruturais de redes interação observados na natureza. Além disso, nós encontramos que a conservação de interações decresce com o aumento da taxa de migração, uma vez que, baixa taxa de migração promove autocorrelação espacial e temporal de espécies filogeneticamente relacionadas, que por sua vez tem maior chance de interagirem ao acaso com o mesmo conjunto de espécies. Os eventos aleatórios de migração, somados à probabilidade de especiação e interação, são também parcialmente responsáveis pela conectância, distribuição de grau e estrutura aninhada das redes mutualísticas. Esses resultados possuem grandes implicações para a interpretação de processos baseados em nicho como os únicos processos causais na estruturação de redes de interação, assim como a integração da estrutura de redes com estocasticidade de demográfica.Submitted by Cássia Santos (cassia.bcufg@gmail.com) on 2017-02-01T12:17:19Z No. of bitstreams: 2 Dissertação - Marco Túlio Pacheco Coelho - 2016.pdf: 2399407 bytes, checksum: bf89ac5d0151cbcfbf3b3bc2cffb2225 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2017-02-01T14:11:43Z (GMT) No. of bitstreams: 2 Dissertação - Marco Túlio Pacheco Coelho - 2016.pdf: 2399407 bytes, checksum: bf89ac5d0151cbcfbf3b3bc2cffb2225 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)Made available in DSpace on 2017-02-01T14:11:43Z (GMT). No. of bitstreams: 2 Dissertação - Marco Túlio Pacheco Coelho - 2016.pdf: 2399407 bytes, checksum: bf89ac5d0151cbcfbf3b3bc2cffb2225 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2016-02-24Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPqapplication/pdfporUniversidade Federal de GoiásPrograma de Pós-graduação em Ecologia e Evolução (ICB)UFGBrasilInstituto de Ciências Biológicas - ICB (RG)http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessTeoria neutraHipótese de neutralidadeSimulação estocásticaInterações ecológicasRedes mutualísticasMutualistic networksNeutral theoryNeutrality hypothesisStochastic simulationEcological interactionsCIENCIAS BIOLOGICAS::ECOLOGIABiogeografia neutra e a evolução de redes complexas de interações bióticasNeutral Biogeography and the evolution of complex networks of species interactionsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis-5361682850774351271600600600600-38727721178273734043263499605295365002-2555911436985713659reponame:Repositório Institucional da UFGinstname:Universidade Federal de Goiás (UFG)instacron:UFGLICENSElicense.txtlicense.txttext/plain; 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dc.title.por.fl_str_mv |
Biogeografia neutra e a evolução de redes complexas de interações bióticas |
dc.title.alternative.eng.fl_str_mv |
Neutral Biogeography and the evolution of complex networks of species interactions |
title |
Biogeografia neutra e a evolução de redes complexas de interações bióticas |
spellingShingle |
Biogeografia neutra e a evolução de redes complexas de interações bióticas Coelho, Marco Túlio Pacheco Teoria neutra Hipótese de neutralidade Simulação estocástica Interações ecológicas Redes mutualísticas Mutualistic networks Neutral theory Neutrality hypothesis Stochastic simulation Ecological interactions CIENCIAS BIOLOGICAS::ECOLOGIA |
title_short |
Biogeografia neutra e a evolução de redes complexas de interações bióticas |
title_full |
Biogeografia neutra e a evolução de redes complexas de interações bióticas |
title_fullStr |
Biogeografia neutra e a evolução de redes complexas de interações bióticas |
title_full_unstemmed |
Biogeografia neutra e a evolução de redes complexas de interações bióticas |
title_sort |
Biogeografia neutra e a evolução de redes complexas de interações bióticas |
author |
Coelho, Marco Túlio Pacheco |
author_facet |
Coelho, Marco Túlio Pacheco |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Rangel, Thiago Fernando Lopes Valle de Britto |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/1613666671361533 |
dc.contributor.referee1.fl_str_mv |
Rangel, Thiago Fernando Lopes Valle de Britto |
dc.contributor.referee2.fl_str_mv |
Cianciaruso, Marcus Vinicius |
dc.contributor.referee3.fl_str_mv |
Dambros, Cristian de Sales |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/0422644218781900 |
dc.contributor.author.fl_str_mv |
Coelho, Marco Túlio Pacheco |
contributor_str_mv |
Rangel, Thiago Fernando Lopes Valle de Britto Rangel, Thiago Fernando Lopes Valle de Britto Cianciaruso, Marcus Vinicius Dambros, Cristian de Sales |
dc.subject.por.fl_str_mv |
Teoria neutra Hipótese de neutralidade Simulação estocástica Interações ecológicas Redes mutualísticas Mutualistic networks |
topic |
Teoria neutra Hipótese de neutralidade Simulação estocástica Interações ecológicas Redes mutualísticas Mutualistic networks Neutral theory Neutrality hypothesis Stochastic simulation Ecological interactions CIENCIAS BIOLOGICAS::ECOLOGIA |
dc.subject.eng.fl_str_mv |
Neutral theory Neutrality hypothesis Stochastic simulation Ecological interactions |
dc.subject.cnpq.fl_str_mv |
CIENCIAS BIOLOGICAS::ECOLOGIA |
description |
A contemporary goal in ecology is to determine the ecological and evolutionary processes that generates the recurring structural patterns in mutualistic networks. One of the greatest challenges is testing the capacity of neutral processes to replicate observed patterns in ecological networks, since original formulation of neutral theory lacks trophic interactions. Here, we developed a stochastic simulation neutral model adding trophic interactions to the neutral theory of biodiversity. We show that our model is able to reproduce accurately the evolutionary conservatism of interacting species, as well as the most common structural patterns observed in nature. Moreover, we found that evolutionary conservatism of interacting species increases with lowmigration rate.Low migration rates promote both spatial and temporal autocorrelation of phylogenetic related species, which have a higher chance of interacting randomly with the same set of partners. Random migration , in addition to speciation and probability of interaction, are also partially responsible for connectance, degree distribution, and nested structure of mutualistic networks. These findings have broad implications to the interpretation of niche-based processes as unique drives of ecological networks, as well as the integration of network structures with demographic stochasticity. |
publishDate |
2016 |
dc.date.issued.fl_str_mv |
2016-02-24 |
dc.date.accessioned.fl_str_mv |
2017-02-01T14:11:43Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/masterThesis |
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masterThesis |
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publishedVersion |
dc.identifier.citation.fl_str_mv |
COELHO, M. T. P. Biogeografia neutra e a evolução de redes complexas de interações bióticas. 2016. 82 f. Dissertação (Mestrado em Ecologia e Evolução) - Universidade Federal de Goiás, Goiânia, 2016. |
dc.identifier.uri.fl_str_mv |
http://repositorio.bc.ufg.br/tede/handle/tede/6811 |
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ark:/38995/0013000005d3p |
identifier_str_mv |
COELHO, M. T. P. Biogeografia neutra e a evolução de redes complexas de interações bióticas. 2016. 82 f. Dissertação (Mestrado em Ecologia e Evolução) - Universidade Federal de Goiás, Goiânia, 2016. ark:/38995/0013000005d3p |
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http://repositorio.bc.ufg.br/tede/handle/tede/6811 |
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por |
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