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Titolo:
Assemblages of southeast-south Brazilian coastal systems based on the distribution of fishes
Autore:
Araujo, FG; de Azevedo, MCC;
Indirizzi:
Univ Fed Rural Rio de Janeiro, Lab Ecol Peixes, BR-23851970 Rio De Janeiro, Brazil Univ Fed Rural Rio de Janeiro Rio De Janeiro Brazil BR-23851970 BCBrazil
Titolo Testata:
ESTUARINE COASTAL AND SHELF SCIENCE
fascicolo: 6, volume: 52, anno: 2001,
pagine: 729 - 738
SICI:
0272-7714(200106)52:6<729:AOSBCS>2.0.ZU;2-0
Fonte:
ISI
Lingua:
ENG
Soggetto:
DEMERSAL FISH; COMMUNITY STRUCTURE; ESTUARY; SEA; ABUNDANCE; DIVERSITY; HABITATS; ALASKA; REEF; GULF;
Keywords:
coastal zones; fish assemblages; PCA; cluster analysis; stepwise multiple regression; Brazil;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Citazioni:
48
Recensione:
Indirizzi per estratti:
Indirizzo: Araujo, FG Univ Fed Rural Rio de Janeiro, Lab Ecol Peixes, Km 47, BR-23851970 Rio De Janeiro, Brazil Univ Fed Rural Rio de Janeiro Km 47 Rio De Janeiro Brazil BR-23851970 BC
Citazione:
F.G. Araujo e M.C.C. de Azevedo, "Assemblages of southeast-south Brazilian coastal systems based on the distribution of fishes", EST COAST S, 52(6), 2001, pp. 729-738

Abstract

Multivariate principal components analysis and cluster analysis were performed on data representing presence or absence of 498 species of juvenile and adult fish species in twenty-four coastal marine systems (bays, coastal lagoons, estuaries and coastal zones) distributed from southeast to southernBrazil. Five groups of coastal systems were identified based on fish assemblage similarity: estuaries and bays of the southeast area; an estuary of the southern area; coastal lagoons; rocky coastal zones; and the continentalplatform. Species assemblages for each zone were identified and used as surrogate habitat indicators to compare and contrast the groups. Stepwise multiple regression of environmental and physical variables as predictors of the number of species indicated that only 'area' was included in the model as the most important variable explaining the variation of the number of species in these data sets. The total number of fish species increased as surface area increased. (C) 2001 Academic Press.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 26/01/20 alle ore 10:07:34