Modelagem de nicho ecológico e distribuição de dois corais endêmicos do Brasil
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Biblioteca Digital de Teses e Dissertações da UFRPE |
Texto Completo: | http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/8254 |
Resumo: | Species distribution models are being used widely around the world to predict risk of species invasion, disease risk, species conservation and climate studies. These models are based on ecological niche theory and can be defined as models that relate species occurrence or abundance data at specific locations (distribution data) to information on the environmental characteristics of those locations (physical and chemical parameters) to identify areas with potential habitat for the target species. The main purpose of species distribution models is to estimate the realized niche, a subset of the fundamental niche of a species. In this research we use species distribution models to evaluate the impacts caused by climate change on the distribution of endangered coral species Mussismilia harttii and to identify areas with habitat suitable for the endemic octocoral Neospongodes atlantica, formerly unpublished soft coral gardens. in Brazil, but very common in the Indo-Pacific. For this, we used occurrence data obtained from specialized literature, biological collections and data collected in situ and correlated with environmental data using the Maxent algorithm. According to the results, the shallow waters south of the São Francisco River concentrate most of the current potential habitats for M. harttii. However, in future scenarios, there was a loss of adequate areas relative to the Current Potential Habitat. It was also observed in future scenarios that there was displacement of suitable areas to deeper water regions. In all Future Potential Habitat scenarios, temperature was the variable with the greatest contribution to the models. Occurrence log analysis has shown that the distribution of the octocoral N. atlantica may be wider than known. Current potential habitat models indicate that there are possibly several soft coral gardens in the mesophotic areas along the entire Brazilian continental shelf formed by N. atlantica. The results also showed that the current potential habitat area for N. atlantica extends 553015.5 km² along the continental shelf off the Brazilian coast, elucidating a gap in the distribution of this Brazilian endemic coral species. This type of research has been widely used for its ease and speed in obtaining data and for presenting results that assist in decision making to predict impacts on biodiversity caused by climate change, anthropogenic and environmental effects. |
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PÉREZ, Carlos DanielVITAL, Maria Teresa Aureliano BurilMELO JÚNIOR, Mauro deMACIEL, Jefferson RodriguesTINÔCO, Moacir Santoshttp://lattes.cnpq.br/3042144320105964OLIVEIRA, Umberto Diego Rodrigues de2019-10-09T12:45:33Z2019-07-11OLIVEIRA, Umberto Diego Rodrigues de. Modelagem de nicho ecológico e distribuição de dois corais endêmicos do Brasil. 2019. 117 f. Dissertação (Programa de Pós-Graduação em Ecologia) - Universidade Federal Rural de Pernambuco, Recife.http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/8254Species distribution models are being used widely around the world to predict risk of species invasion, disease risk, species conservation and climate studies. These models are based on ecological niche theory and can be defined as models that relate species occurrence or abundance data at specific locations (distribution data) to information on the environmental characteristics of those locations (physical and chemical parameters) to identify areas with potential habitat for the target species. The main purpose of species distribution models is to estimate the realized niche, a subset of the fundamental niche of a species. In this research we use species distribution models to evaluate the impacts caused by climate change on the distribution of endangered coral species Mussismilia harttii and to identify areas with habitat suitable for the endemic octocoral Neospongodes atlantica, formerly unpublished soft coral gardens. in Brazil, but very common in the Indo-Pacific. For this, we used occurrence data obtained from specialized literature, biological collections and data collected in situ and correlated with environmental data using the Maxent algorithm. According to the results, the shallow waters south of the São Francisco River concentrate most of the current potential habitats for M. harttii. However, in future scenarios, there was a loss of adequate areas relative to the Current Potential Habitat. It was also observed in future scenarios that there was displacement of suitable areas to deeper water regions. In all Future Potential Habitat scenarios, temperature was the variable with the greatest contribution to the models. Occurrence log analysis has shown that the distribution of the octocoral N. atlantica may be wider than known. Current potential habitat models indicate that there are possibly several soft coral gardens in the mesophotic areas along the entire Brazilian continental shelf formed by N. atlantica. The results also showed that the current potential habitat area for N. atlantica extends 553015.5 km² along the continental shelf off the Brazilian coast, elucidating a gap in the distribution of this Brazilian endemic coral species. This type of research has been widely used for its ease and speed in obtaining data and for presenting results that assist in decision making to predict impacts on biodiversity caused by climate change, anthropogenic and environmental effects.Os modelos de distribuição de espécies estão sendo usados amplamente ao redor do mundo para prever risco de invasão de espécies, risco de doenças, conservação de espécies e estudos climáticos. Esses modelos são baseados na teoria do nicho ecológico e podem ser definidos como modelos que relacionam dados de ocorrência ou abundância de espécies em locais específicos (dados de distribuição) a informações das características ambientais daqueles locais (parâmetros físicos e químicos) parra identificar áreas com potencial habitat para as espécies alvo. O objetivo principal dos modelos de distribuição de espécies é estimar o nicho realizado, um subconjunto do nicho fundamental de uma espécie. Nesta pesquisa usamos os modelos de distribuição de espécies a fim de avaliar os impactos causados pelas mudanças climáticas na distribuição da espécie endêmica de coral ameaçado Mussismilia harttii e identificar áreas com habitat adequado para o octocoral endêmico Neospongodes atlantica, formador de jardins de corais moles, inéditos no Brasil, mas muito comuns no Indo-Pacífico. Para isso, foram usados dados de ocorrência obtidos a partir da literatura especializada, coleções biológicas e dados coletados in situ e correlacionados com dados ambientais usado o algoritmo Maxent. De acordo com os resultados, as águas rasas ao sul do Rio São Francisco concentram a maior parte dos habitats potenciais atuais para M. harttii. No entanto, em cenários futuros, houve uma perda de áreas adequadas em relação ao Habitat Potencial Atual. Também foi observado nos cenários futuros que houve deslocamento das áreas adequadas para regiões de águas mais profundas. Em todos os cenários do Habitat Potencial Futuro a temperatura foi a variável com maior contribuição para os modelos. As análises dos registros de ocorrências mostraram que a distribuição do octocoral N. atlantica pode ser mais ampla que o conhecido. Os modelos do habitat potencial atual indicaram que possivelmente existem vários jardins de corais moles nas áreas mesofóticas ao longo de toda a Plataforma Continental brasileira formada por N. atlantica. Os resultados mostraram também que a área com habitat potencial atual para N. atlantica se estende por 553015.5 km² ao longo da plataforma continental da costa brasileira, elucidando uma lacuna na distribuição desta espécie de coral endêmico brasileiro. Este tipo de pesquisa vem sendo usada largamente pela facilidade e rapidez na obtenção dos dados e por apresentar resultados que auxiliam na tomada de decisões para prever impactos na biodiversidade causados por mudanças climáticas, efeitos antropogênicos e ambientais.Submitted by Mario BC (mario@bc.ufrpe.br) on 2019-10-09T12:45:33Z No. of bitstreams: 1 Umberto Diego Rodrigues de Oliveira.pdf: 4696056 bytes, checksum: 0a071b832076d5621c32a136237af8a1 (MD5)Made available in DSpace on 2019-10-09T12:45:33Z (GMT). No. of bitstreams: 1 Umberto Diego Rodrigues de Oliveira.pdf: 4696056 bytes, checksum: 0a071b832076d5621c32a136237af8a1 (MD5) Previous issue date: 2019-07-11Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESapplication/pdfporUniversidade Federal Rural de PernambucoPrograma de Pós-Graduação em EcologiaUFRPEBrasilDepartamento de BiologiaNicho ecológicoModelo de distribuição de espécieCoral (animal marinho)CIENCIAS BIOLOGICAS::ECOLOGIAModelagem de nicho ecológico e distribuição de dois corais endêmicos do Brasilinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis-3370416653406378150600600600600-269674453558909670032634996052953650022075167498588264571info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFRPEinstname:Universidade Federal Rural de Pernambuco (UFRPE)instacron:UFRPEORIGINALUmberto Diego Rodrigues de Oliveira.pdfUmberto Diego Rodrigues de Oliveira.pdfapplication/pdf4696056http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/8254/2/Umberto+Diego+Rodrigues+de+Oliveira.pdf0a071b832076d5621c32a136237af8a1MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82165http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/8254/1/license.txtbd3efa91386c1718a7f26a329fdcb468MD51tede2/82542019-10-09 09:45:33.82oai:tede2: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Biblioteca Digital de Teses e Dissertaçõeshttp://www.tede2.ufrpe.br:8080/tede/PUBhttp://www.tede2.ufrpe.br:8080/oai/requestbdtd@ufrpe.br ||bdtd@ufrpe.bropendoar:2024-05-28T12:36:44.297419Biblioteca Digital de Teses e Dissertações da UFRPE - Universidade Federal Rural de Pernambuco (UFRPE)false |
dc.title.por.fl_str_mv |
Modelagem de nicho ecológico e distribuição de dois corais endêmicos do Brasil |
title |
Modelagem de nicho ecológico e distribuição de dois corais endêmicos do Brasil |
spellingShingle |
Modelagem de nicho ecológico e distribuição de dois corais endêmicos do Brasil OLIVEIRA, Umberto Diego Rodrigues de Nicho ecológico Modelo de distribuição de espécie Coral (animal marinho) CIENCIAS BIOLOGICAS::ECOLOGIA |
title_short |
Modelagem de nicho ecológico e distribuição de dois corais endêmicos do Brasil |
title_full |
Modelagem de nicho ecológico e distribuição de dois corais endêmicos do Brasil |
title_fullStr |
Modelagem de nicho ecológico e distribuição de dois corais endêmicos do Brasil |
title_full_unstemmed |
Modelagem de nicho ecológico e distribuição de dois corais endêmicos do Brasil |
title_sort |
Modelagem de nicho ecológico e distribuição de dois corais endêmicos do Brasil |
author |
OLIVEIRA, Umberto Diego Rodrigues de |
author_facet |
OLIVEIRA, Umberto Diego Rodrigues de |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
PÉREZ, Carlos Daniel |
dc.contributor.referee1.fl_str_mv |
VITAL, Maria Teresa Aureliano Buril |
dc.contributor.referee2.fl_str_mv |
MELO JÚNIOR, Mauro de |
dc.contributor.referee3.fl_str_mv |
MACIEL, Jefferson Rodrigues |
dc.contributor.referee4.fl_str_mv |
TINÔCO, Moacir Santos |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/3042144320105964 |
dc.contributor.author.fl_str_mv |
OLIVEIRA, Umberto Diego Rodrigues de |
contributor_str_mv |
PÉREZ, Carlos Daniel VITAL, Maria Teresa Aureliano Buril MELO JÚNIOR, Mauro de MACIEL, Jefferson Rodrigues TINÔCO, Moacir Santos |
dc.subject.por.fl_str_mv |
Nicho ecológico Modelo de distribuição de espécie Coral (animal marinho) |
topic |
Nicho ecológico Modelo de distribuição de espécie Coral (animal marinho) CIENCIAS BIOLOGICAS::ECOLOGIA |
dc.subject.cnpq.fl_str_mv |
CIENCIAS BIOLOGICAS::ECOLOGIA |
description |
Species distribution models are being used widely around the world to predict risk of species invasion, disease risk, species conservation and climate studies. These models are based on ecological niche theory and can be defined as models that relate species occurrence or abundance data at specific locations (distribution data) to information on the environmental characteristics of those locations (physical and chemical parameters) to identify areas with potential habitat for the target species. The main purpose of species distribution models is to estimate the realized niche, a subset of the fundamental niche of a species. In this research we use species distribution models to evaluate the impacts caused by climate change on the distribution of endangered coral species Mussismilia harttii and to identify areas with habitat suitable for the endemic octocoral Neospongodes atlantica, formerly unpublished soft coral gardens. in Brazil, but very common in the Indo-Pacific. For this, we used occurrence data obtained from specialized literature, biological collections and data collected in situ and correlated with environmental data using the Maxent algorithm. According to the results, the shallow waters south of the São Francisco River concentrate most of the current potential habitats for M. harttii. However, in future scenarios, there was a loss of adequate areas relative to the Current Potential Habitat. It was also observed in future scenarios that there was displacement of suitable areas to deeper water regions. In all Future Potential Habitat scenarios, temperature was the variable with the greatest contribution to the models. Occurrence log analysis has shown that the distribution of the octocoral N. atlantica may be wider than known. Current potential habitat models indicate that there are possibly several soft coral gardens in the mesophotic areas along the entire Brazilian continental shelf formed by N. atlantica. The results also showed that the current potential habitat area for N. atlantica extends 553015.5 km² along the continental shelf off the Brazilian coast, elucidating a gap in the distribution of this Brazilian endemic coral species. This type of research has been widely used for its ease and speed in obtaining data and for presenting results that assist in decision making to predict impacts on biodiversity caused by climate change, anthropogenic and environmental effects. |
publishDate |
2019 |
dc.date.accessioned.fl_str_mv |
2019-10-09T12:45:33Z |
dc.date.issued.fl_str_mv |
2019-07-11 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
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publishedVersion |
dc.identifier.citation.fl_str_mv |
OLIVEIRA, Umberto Diego Rodrigues de. Modelagem de nicho ecológico e distribuição de dois corais endêmicos do Brasil. 2019. 117 f. Dissertação (Programa de Pós-Graduação em Ecologia) - Universidade Federal Rural de Pernambuco, Recife. |
dc.identifier.uri.fl_str_mv |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/8254 |
identifier_str_mv |
OLIVEIRA, Umberto Diego Rodrigues de. Modelagem de nicho ecológico e distribuição de dois corais endêmicos do Brasil. 2019. 117 f. Dissertação (Programa de Pós-Graduação em Ecologia) - Universidade Federal Rural de Pernambuco, Recife. |
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http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/8254 |
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por |
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Universidade Federal Rural de Pernambuco |
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