Verification of the dualism ordering method by the canonical correspondence analysis: fish community samples

PENCZAK, T.; GODINHO, F.; AGOSTINHO, A.A.

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Campo DC	Valor	Idioma
dc.contributor.advisor		pt_BR
dc.contributor.author	PENCZAK, T.; GODINHO, F.; AGOSTINHO, A.A.	pt_BR
dc.date.accessioned	2018-10-31T19:43:01Z	-
dc.date.available	2018-10-31T19:43:01Z	-
dc.identifier.uri	http://repositorio.uem.br:8080/jspui/handle/1/5293	-
dc.description	PENCZAK, Tadeusz; GODINHO, Francisco; AGOSTINHO, Angelo Antonio. Verification of the dualism ordering method by the canonical correspondence analysis: fish community samples. Limnologica, Jena, v.32, no.1, p.14-20, 2002.	pt_BR
dc.description.abstract	Two ordination techniques (Romaniszyn diagram, RD, and Canonical correspondence analysis, CCA) were applied to the same data set (fish assemblage composition along two Paraná river tributaries and associated environmental variables), to identify spatial community patterns and further to evaluate the performance of RD. The major patterns in these Brazilian streams were successfully revealed by both methods (i.e. clear separation of both tributaries on the basis of fish assemblage composition and environmental factors), but more complex situations may limit the application of RD in comparison with CCA.	en
dc.rights	openAccess	pt_BR
dc.subject	Peixe	pt_BR
dc.subject	Assembléia	pt_BR
dc.subject	Paraná, Rio	pt_BR
dc.subject	Tributários	pt_BR
dc.subject	Brasil.	pt_BR
dc.subject	Canonical correspondence analysis	en
dc.subject	Romaniszyn diagram	en
dc.subject	Conformable results	en
dc.subject	Paraná River tributaries	en
dc.subject	Fish assemblages	en
dc.subject	Brazil.	en
dc.title	Verification of the dualism ordering method by the canonical correspondence analysis: fish community samples	pt_BR
dc.type	article	pt_BR
dc.description.resumo		pt_BR
dc.publisher.country	Brasil	pt_BR
dc.publisher.initials	UEM	pt_BR
dc.subject.cnpq1	Ciências Biológicas	pt_BR
dc.subject.cnpq2	Ecologia	pt_BR
Aparece nas coleções:	1.2 Artigo - Ciências Biológicas (CCB)

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