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Provedor de dados:  Iheringia, Sér. Zool.
País:  Brazil
Título:  Biometry of neotropical invertebrates inhabiting floodplain rivers: unraveling bionomy
Autores:  Zilli,Florencia
Barco,Julia del
Vanzetti,Agustín
Data:  2017-01-01
Ano:  2017
Palavras-chave:  Allometry
Organic matter
Paraná River
Wetlands
Benthos
Pleuston
Resumo:  ABSTRACT Currently, it is widely recognized that invertebrates play key roles in neotropical floodplains and in many other environments worldwide. However, little information has been published concerning their biometry, in spite that it represents an essential tool for many different studies. Here, we provided length-mass and length-length relationships by fitting the linearized model (log10 Y = log10a + b log10 X) and several mean biomass ratios ± SE for bivalves, gastropods, quironomids, ephemeropterans, oligochaetes and hirudineans. We measured, weighed, oven dried and incinerated to ashes specimens collected from 2005 to 2014 in the Paraná River, Argentina. The lineal equations had fit levels higher than 75% in most of the significant regressions. Hence, when slopes were compared, differences raised from ontogeny and phylogeny of taxa. Additionally, slopes resulted different from constants of other regions, types of environments and climates. In addition, organic matter ratios resulted significantly different among invertebrates according to their feeding types. The equations and ratios that we provided will facilitate future research on life history, productivity and energy transference in the food webs of invertebrates inhabiting floodplain wetlands and can be used as tools for planning management strategies and in restoration projects of aquatic environments.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0073-47212017000100214
Editor:  Museu de Ciências Naturais
Relação:  10.1590/1678-4766e2017014
Formato:  text/html
Fonte:  Iheringia. Série Zoologia v.107 2017
Direitos:  info:eu-repo/semantics/openAccess
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