Macrobenthic assemblages were investigated at 26 stations located around Livingston Island, Deception Island and the Bransfield Strait at depths ranging from 42 to 671 m. Representatives of 30 major taxa were found. The maximal density was 5,260 specimens · m\ at Livingston Island; the mean abundance per station ranged from 160 to 4,380 specimens · m\. The total biomass of the macrozoobenthos declined with depth, with mean values of 3,201 g · m\ at shallower depths ( (100 m) and 210 g · m\ further down ( '100 m). After multivariate analysis (cluster analysis, MDS) based on Bray-Curtis dissimilarities, most stations could be assigned to one of three groups on the basis of distinct biomass differences between sites. The first cluster with a rich Ascidiacea biomass is common on shallower bottoms. The second, with Ophiuroidea as a characteristic group, is common on deeper bottoms. The absence of an 'indicator' taxon is characteristic of the remaining cluster of those stations with the lowest biomass values. No significant correlations were detected between macrobenthic biomass and any sediment parameters measured, probably because part of the benthos (i.e. the epifauna) could be better explained by the coupling with a highly productive water column. The role of the epi-infauna sensu Gallardo as the main factor structuring benthic assemblages in the investigated area is discussed.
La identificación de tipologías prediales es una herramienta útil para sintetizar la diversidad intrínseca de cada sistema de producción y puede ser eficientemente usada para realizar una selección racional y metódica de las fincas representativas en el contexto de proyectos de investigación y extensión. Sin embargo, las metodologías que se utilizan más comúnmente para producir una tipología presentan algunas características que limitan su aplicación expeditiva para la selección de fincas piloto. El objetivo de este trabajo fue realizar una identificación cuantitativa y una caracterización de tipologías prediales, sobre la base de análisis multivariado de fincas productoras de cerezas en el sur de la Patagonia argentina. Se aplicó una metodología innovadora combinando escala multidimensional, análisis de conglomerados y análisis de porcentajes de semejanza, sobre la base de la cual se identificaron seis diferentes tipos de fincas. Las ventajas de este método para la selección de fincas representativas son mostradas y discutidas a través de la individuación de una finca piloto dentro de cada tipo.
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