1990
DOI: 10.3354/meps060169
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Multivariate approaches to the variation in phytobenthic communities and environmental vectors in the Baltic Sea

Abstract: ABSTRACT. Quantitative data on plant and animal distribution, biomass and environmental data from vegetation-covered bottoms in the northern Baltic proper are analyzed with numerical methods used in modern terrestrial vegetation analysis. The classification and matrix-structuring method TABORD and the ordination method detrended canonical correspondence analysis (DCCA) are descnbed in some detail. The main alm of these multivariate analyses 1s to correlate environmental factors with detected patterns of specie… Show more

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Cited by 81 publications
(38 citation statements)
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“…Regionally, the bivalve can cover 95 to 100% of all suitable substrate, especially if predators are absent (e.g. Kautsky & van der Maarel 1990, Reusch & Chapman 1997. Adult crabs and sea stars, however, consume mussels only to the threshold size of 48 mm shell length, beyond which size refuge is obtained (Sommer et al 1999, Enderlein et al 2003, Laudien & Wahl 2004.…”
Section: Introductionmentioning
confidence: 99%
“…Regionally, the bivalve can cover 95 to 100% of all suitable substrate, especially if predators are absent (e.g. Kautsky & van der Maarel 1990, Reusch & Chapman 1997. Adult crabs and sea stars, however, consume mussels only to the threshold size of 48 mm shell length, beyond which size refuge is obtained (Sommer et al 1999, Enderlein et al 2003, Laudien & Wahl 2004.…”
Section: Introductionmentioning
confidence: 99%
“…On a large scale, e.g. within an archipelago, these benthic communities are mainly structured by the physical factors light, water movement and type of substrate (Kautsky & van der Maarel 1990, Eriksson & Bergström 2005. Several factors determine the light reaching the substrate, e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Originalmente descrito como un "análisis de especies indicadoras" (Hill et al 1975) fue posteriormente renombrado a "aná-lisis de ordenación dicotomizado" (Hill 1979) con el argumento de que la base de la técnica es la división de ordenaciones y no la selección de especies indicadoras. Sin embargo, al igual que otras técnicas divisivas, la clasificación TWiNSPAN presenta varias limitaciones entre las cuales figuran la imposibilidad de corregir la posición de las unidades mal clasificadas por una selección errónea aleatoria de alguna de las especie preferencial, la influencia de especies raras que se encuentran además en unidades de muestreo con pocas especies (Kautsky & van der Maarel 1990), y sobre todo la dificultad de manejar más de un gradiente ambiental importante (McCune & Grace 2002).…”
Section: Materiales Y Métodosunclassified