- França S, Fonseca VF, Tanner SE, Vasconcelos RP, Reis-Santos P, Maia A, Ruano M, et al. 2021. Historical data in the CoastNet Geoportal: snapshot of estuarine fish communities in Portuguese estuaries. Submitted to Frontiers in Marine Science.Front. Mar. Sci. 8:685294. doi: 10.3389/fmars.2021.685294
- Silva PM, Teixeira CM, Pita C, Cabral HN and França S (2021) Portuguese Artisanal Fishers’ Knowledge About Elasmobranchs—A Case Study. Front. Mar. Sci. 8:684059. doi: 10.3389/fmars.2021.684059
- França S, Cabral HN. (2019) Distribution models of estuarine fish species: The effect of sampling bias, species ecology and threshold selection on models' accuracy. Ecological Informatics, 51, 168-176. doi: 10.1016/j.ecoinf.2019.03.005
- França S, Cabral HN (2016) Predicting fish species distribution in estuaries: Influence of species’ ecology in model accuracy. Estuarine, Coastal and Shelf Science, 180, 11-20. doi: 10.1016/j.ecss.2016.06.010
- França S, Cabral HN (2015) Predicting fish species richness in estuaries: Which modelling technique to use? Environmental Modelling and Software, 66: 17-26. doi: 10.1016/j.envsoft.2014.12.010
Susana De Oliveira Braga Da Silva França
Contactos
Departamento de Biologia AnimalSala/Gabinete 2.5.50
Ext. Principal 22576
Telefone Direto 217500000
Email sofranca@ciencias.ulisboa.pt
Carreira Investigação
Categoria Investigador Auxiliar
Indicadores
ResearcherIDOrcid
Notice (8): Undefined variable: cienciaID [APP/View/PaginaPessoal/index.ctp, line 373]Code Context<span class="perfil_span"><?php echo "<a href='" . $google . "' target='_blank'>Google Scholar</a>"; ?></span><br>
<?php } ?>
<?php if ($cienciaID != '') { ?>
$viewFile = '/var/www/html/servicos/perfil/View/PaginaPessoal/index.ctp' $dataForView = array( 'visita' => (int) 1, 'utilizador' => array( 'bi' => '11467521', 'nome_completo' => 'Susana De Oliveira Braga Da Silva França', 'nome_a_mostrar' => '', 'username' => 'sofranca', 'mail' => 'sofranca@ciencias.ulisboa.pt', 'pagina_pessoal' => null, 'cv_resumido' => 'Susana França is an Assistant Researcher at Marine and Environmental Sciences Centre (MARE), Faculdade de Ciências, Universidade de Lisboa (FCUL), since june 2019. She obtained her PhD degree in Marine Biology and Aquaculture by Universidade de Lisboa in 2011. From 2016 to 2018 she was an Invited Assistant Professor at FCUL. Her core research areas are: (i) estuarine ecology and the use of different estuarine habitats by fish species and communities; and (2) ecological modeling of estuarine fish population, with focus on predictions of species richness variation patterns and species distribution in estuaries, at a multi-scale level. She is a member of the implementation team of the CoastNet research infrastructure (RI). This RI was included in the National Roadmap for RIs in 2014 and has recently started to be implemented (2017), with SF coordinating one of its lines of action (The Environmental and Biological Monitoring System). She has participated in 17 scientific projects since 2004: 1 national project as Principal Investigator, 12 national projects as a team member and 4 international projects. She has published 40 peer-reviewed papers, and her h-index is 25 with 1598 citations according to Scopus. She has presented over 20 communications in scientific meetings. In the last 6 years, she has been actively involved in science communication and currently co-coordinates MARE's educational program, which promotes Ocean Literacy. This program has developed more than 1300 activities in schools since 2015, reaching more than 35 000 students.', 'extpessoal' => null, 'interesses_cientificos' => 'Ecologia estuarina<br>Comunidades de peixes estuarinos<br>Utilização de habitats estuarinos <br>Modelação ecológica de populações de peixes<br>Modelos de distribuição de espécies de peixe em estuários', 'scientific_interests' => 'Estuarine ecology<br>Estuarine fish communities<br>Use of estuarine habitats<br>Ecological modelling of estuarine fish populations<br>Species distribution models of fish species in estuaries', 'orcid' => '0000-0002-3406-6951', 'researcherID' => 'B-2847-2012', 'scopus' => '', 'google_scholar' => '', 'cienciaID' => '', 'keywords' => '', 'palavraschave' => '', 'carreira' => 'Investigação', 'categoria' => 'Investigador Auxiliar', 'unidade' => 'Departamento de Biologia Animal', 'inativo' => false, 'contactos_sala' => '2.5.50', 'contactos_extensao_principal' => '22576', 'contactos_telefone_directo' => '217500000', 'pub1' => 'França S, Fonseca VF, Tanner SE, Vasconcelos RP, Reis-Santos P, Maia A, Ruano M, et al. 2021. Historical data in the CoastNet Geoportal: snapshot of estuarine fish communities in Portuguese estuaries. Submitted to Frontiers in Marine Science.Front. Mar. Sci. 8:685294. doi: 10.3389/fmars.2021.685294', 'pub2' => 'Silva PM, Teixeira CM, Pita C, Cabral HN and França S (2021) Portuguese Artisanal Fishers’ Knowledge About Elasmobranchs—A Case Study. Front. Mar. Sci. 8:684059. doi: 10.3389/fmars.2021.684059', 'pub3' => 'França S, Cabral HN. (2019) Distribution models of estuarine fish species: The effect of sampling bias, species ecology and threshold selection on models' accuracy. Ecological Informatics, 51, 168-176. doi: 10.1016/j.ecoinf.2019.03.005', 'pub4' => 'França S, Cabral HN (2016) Predicting fish species distribution in estuaries: Influence of species’ ecology in model accuracy. Estuarine, Coastal and Shelf Science, 180, 11-20. doi: 10.1016/j.ecss.2016.06.010', 'pub5' => 'França S, Cabral HN (2015) Predicting fish species richness in estuaries: Which modelling technique to use? Environmental Modelling and Software, 66: 17-26. doi: 10.1016/j.envsoft.2014.12.010', 'email_publico' => null, 'foto' => 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', 'nome_foto' => 'picture-337-1459522340.jpg' ) ) $visita = (int) 1 $utilizador = array( 'bi' => '11467521', 'nome_completo' => 'Susana De Oliveira Braga Da Silva França', 'nome_a_mostrar' => '', 'username' => 'sofranca', 'mail' => 'sofranca@ciencias.ulisboa.pt', 'pagina_pessoal' => null, 'cv_resumido' => 'Susana França is an Assistant Researcher at Marine and Environmental Sciences Centre (MARE), Faculdade de Ciências, Universidade de Lisboa (FCUL), since june 2019. She obtained her PhD degree in Marine Biology and Aquaculture by Universidade de Lisboa in 2011. From 2016 to 2018 she was an Invited Assistant Professor at FCUL. Her core research areas are: (i) estuarine ecology and the use of different estuarine habitats by fish species and communities; and (2) ecological modeling of estuarine fish population, with focus on predictions of species richness variation patterns and species distribution in estuaries, at a multi-scale level. She is a member of the implementation team of the CoastNet research infrastructure (RI). This RI was included in the National Roadmap for RIs in 2014 and has recently started to be implemented (2017), with SF coordinating one of its lines of action (The Environmental and Biological Monitoring System). She has participated in 17 scientific projects since 2004: 1 national project as Principal Investigator, 12 national projects as a team member and 4 international projects. She has published 40 peer-reviewed papers, and her h-index is 25 with 1598 citations according to Scopus. She has presented over 20 communications in scientific meetings. In the last 6 years, she has been actively involved in science communication and currently co-coordinates MARE's educational program, which promotes Ocean Literacy. This program has developed more than 1300 activities in schools since 2015, reaching more than 35 000 students.', 'extpessoal' => null, 'interesses_cientificos' => 'Ecologia estuarina<br>Comunidades de peixes estuarinos<br>Utilização de habitats estuarinos <br>Modelação ecológica de populações de peixes<br>Modelos de distribuição de espécies de peixe em estuários', 'scientific_interests' => 'Estuarine ecology<br>Estuarine fish communities<br>Use of estuarine habitats<br>Ecological modelling of estuarine fish populations<br>Species distribution models of fish species in estuaries', 'orcid' => '0000-0002-3406-6951', 'researcherID' => 'B-2847-2012', 'scopus' => '', 'google_scholar' => '', 'cienciaID' => '', 'keywords' => '', 'palavraschave' => '', 'carreira' => 'Investigação', 'categoria' => 'Investigador Auxiliar', 'unidade' => 'Departamento de Biologia Animal', 'inativo' => false, 'contactos_sala' => '2.5.50', 'contactos_extensao_principal' => '22576', 'contactos_telefone_directo' => '217500000', 'pub1' => 'França S, Fonseca VF, Tanner SE, Vasconcelos RP, Reis-Santos P, Maia A, Ruano M, et al. 2021. Historical data in the CoastNet Geoportal: snapshot of estuarine fish communities in Portuguese estuaries. Submitted to Frontiers in Marine Science.Front. Mar. Sci. 8:685294. doi: 10.3389/fmars.2021.685294', 'pub2' => 'Silva PM, Teixeira CM, Pita C, Cabral HN and França S (2021) Portuguese Artisanal Fishers’ Knowledge About Elasmobranchs—A Case Study. Front. Mar. Sci. 8:684059. doi: 10.3389/fmars.2021.684059', 'pub3' => 'França S, Cabral HN. (2019) Distribution models of estuarine fish species: The effect of sampling bias, species ecology and threshold selection on models' accuracy. Ecological Informatics, 51, 168-176. doi: 10.1016/j.ecoinf.2019.03.005', 'pub4' => 'França S, Cabral HN (2016) Predicting fish species distribution in estuaries: Influence of species’ ecology in model accuracy. Estuarine, Coastal and Shelf Science, 180, 11-20. doi: 10.1016/j.ecss.2016.06.010', 'pub5' => 'França S, Cabral HN (2015) Predicting fish species richness in estuaries: Which modelling technique to use? Environmental Modelling and Software, 66: 17-26. doi: 10.1016/j.envsoft.2014.12.010', 'email_publico' => null, 'foto' => 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', 'nome_foto' => 'picture-337-1459522340.jpg' ) $foto = '<span style="color: rgba(44, 63, 177, 1);">picture-337-1459522340.jpg </span>' $foto_exists = true $nome_ficheiro_foto = 'picture-337-1459522340.jpg' $cv = '<font color="red">Não definido</font>' $cv_exists = false $orcid = 'http://orcid.org/0000-0002-3406-6951' $researcherid = 'http://www.researcherid.com/rid/B-2847-2012' $scopusid = '' $google = ''include - APP/View/PaginaPessoal/index.ctp, line 373 View::_evaluate() - CORE/Cake/View/View.php, line 971 View::_render() - CORE/Cake/View/View.php, line 933 View::render() - CORE/Cake/View/View.php, line 473 Controller::render() - CORE/Cake/Controller/Controller.php, line 968 Dispatcher::_invoke() - CORE/Cake/Routing/Dispatcher.php, line 200 Dispatcher::dispatch() - CORE/Cake/Routing/Dispatcher.php, line 167 [main] - APP/webroot/index.php, line 112
Susana França is an Assistant Researcher at Marine and Environmental Sciences Centre (MARE), Faculdade de Ciências, Universidade de Lisboa (FCUL), since june 2019. She obtained her PhD degree in Marine Biology and Aquaculture by Universidade de Lisboa in 2011. From 2016 to 2018 she was an Invited Assistant Professor at FCUL. Her core research areas are: (i) estuarine ecology and the use of different estuarine habitats by fish species and communities; and (2) ecological modeling of estuarine fish population, with focus on predictions of species richness variation patterns and species distribution in estuaries, at a multi-scale level. She is a member of the implementation team of the CoastNet research infrastructure (RI). This RI was included in the National Roadmap for RIs in 2014 and has recently started to be implemented (2017), with SF coordinating one of its lines of action (The Environmental and Biological Monitoring System). She has participated in 17 scientific projects since 2004: 1 national project as Principal Investigator, 12 national projects as a team member and 4 international projects. She has published 40 peer-reviewed papers, and her h-index is 25 with 1598 citations according to Scopus. She has presented over 20 communications in scientific meetings. In the last 6 years, she has been actively involved in science communication and currently co-coordinates MARE's educational program, which promotes Ocean Literacy. This program has developed more than 1300 activities in schools since 2015, reaching more than 35 000 students.
Ecologia estuarina
Comunidades de peixes estuarinos
Utilização de habitats estuarinos
Modelação ecológica de populações de peixes
Modelos de distribuição de espécies de peixe em estuários
Estuarine ecology
Estuarine fish communities
Use of estuarine habitats
Ecological modelling of estuarine fish populations
Species distribution models of fish species in estuaries