Susana França

Dr. Susana França

MARE - Marine and Environmental Sciences Centre, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2007 in Science of The Total Environment
Verified
Journal Article
Closed access
RVR.P. Vasconcelos
R.P. Vasconcelos
PRPatrick Reis-Santos
Patrick Reis-Santos
Vanessa F. FonsecaVanessa F. Fonseca
Vanessa F. Fonseca
AMA. Maia
A. Maia
MRM. Ruano
M. Ruano
HCHenrique Cabral
Henrique Cabral

1 February 2007 in Journal of Sea Research
Verified
Journal Article
Closed access
HCHenrique Cabral
Henrique Cabral
RVRita Vasconcelos
Rita Vasconcelos
Catarina VinagreCatarina Vinagre
Catarina Vinagre
Susana FrançaSusana França
Susana França
Vanessa F. FonsecaVanessa F. Fonseca
Vanessa F. Fonseca
MCMaria José Costa
Maria José Costa

1 March 2010 in Estuarine, Coastal and Shelf Science
Verified
Journal Article
Closed access
RVR.P. Vasconcelos
R.P. Vasconcelos
PRPatrick Reis-Santos
Patrick Reis-Santos
AMA. Maia
A. Maia
Vanessa F. FonsecaVanessa F. Fonseca
Vanessa F. Fonseca
Susana FrançaSusana França
Susana França
HCHenrique Cabral
Henrique Cabral

1 August 2012 in Ecological Indicators
Verified
Journal Article
Closed access
ASA. Serafim
A. Serafim
RCR. Company
R. Company
BLBelisandra Lopes
Belisandra Lopes
Vanessa F. FonsecaVanessa F. Fonseca
Vanessa F. Fonseca
Susana FrançaSusana França
Susana França
HCHenrique Cabral
Henrique Cabral

23 April 2015 in Journal of Animal Ecology
Verified
Journal Article
Open access
PDF file
RVRita P Vasconcelos
Rita P Vasconcelos
SHSofia Henriques
Sofia Henriques
Susana FrançaSusana França
Susana França
SPStéphanie Pasquaud
Stéphanie Pasquaud
ICInês Cardoso
Inês Cardoso
HCHenrique Cabral
Henrique Cabral
Summary: Knowledge of global patterns of biodiversity and regulating variables is indispensable to develop predictive models. The present study used predictive modelling approaches to investigate hypotheses that explain the variation in fish species richness between estuaries over a worldwide spatial extent. Ultimately, such models will allow assessment of future changes in ecosystem structure and function as a result of environmental changes. A comprehensive worldwide data base was compiled of the fish assemblage composition and environmental characteristics of estuaries. Generalized Linear Models were used to quantify how variation in species richness among estuaries is related to historical events, energy dynamics and ecosystem characteristics, while controlling for sampling effects. At the global extent, species richness differed among marine biogeographic realms and continents and increased with mean sea surface temperature, terrestrial net primary productivity and the stability of connectivity with a marine ecosystem (open vs. temporarily open estuaries). At a smaller extent (within a marine biogeographic realm or continent), other characteristics were also important in predicting variation in species richness, with species richness increasing with estuary area and continental shelf width. The results suggest that species richness in an estuary is defined by predictors that are spatially hierarchical. Over the largest spatial extents, species richness is influenced by the broader distributions and habitat use patterns of marine and freshwater species that can colonize estuaries, which are in turn governed by history contingency, energy dynamics and productivity variables. Species richness is also influenced by more regional and local parameters that can further affect the process of community colonization in an estuary including the connectivity of the estuary with the adjacent marine habitat, and, over smaller spatial extents, the size of these habitats. In summary, patterns of species richness in estuaries across large spatial extents seem to reflect from global to local processes acting on community colonization. The importance of considering spatial extent, sampling effects and of combining history and contemporary environmental characteristics when exploring biodiversity is highlighted.

1 June 2009 in Estuarine, Coastal and Shelf Science
Verified
Journal Article
Closed access
Susana FrançaSusana França
Susana França
MCMaria José Costa
Maria José Costa
HCHenrique Cabral
Henrique Cabral