Estimation of zooplankton secondary production in estuarine waters : Comparison between the enzymatic (chitobiase) method and mathematical models using crustaceans

dc.contributor.authorRamos Avila, Tatiana
dc.contributor.authorAbel de Souza Machado, Anderson
dc.contributor.authorBianchini, Adalto
dc.date.accessioned2013-10-24T17:10:29Z
dc.date.available2013-10-24T17:10:29Z
dc.date.copyright2012
dc.date.issued2012
dc.description.abstractSampling was seasonally performed in the Patos Lagoon estuary (Rio Grande, RS, Southern Brazil) to estimate zooplankton biomass and production comparing values obtained using an enzymatic (chitobiase) method and the traditional mathematical models based on growth. Comparison of data obtained from zooplankton samples collected with 90 and 200-␣m mesh nets showed that net selectivity in␣uences the estimation of zooplankton biomass and production. Furthermore, it showed differential results for dominance of taxa and proportions of developmental stages in samples. Differences among samples collected at the different sites in the same season were observed using either the mathematical models or the enzymatic method. The two different approaches were also able to detect the seasonal variation in production. In a broad view, data obtained using the chitobiase method showed a similar pattern of zooplankton production compared to those obtained with the traditional mathematical models based on growth. However, values estimated using the enzymatic method were systematically higher than those obtained with the mathematical models. Maxi- mum total production values were estimated as 12.5, 9.2 and 7.9 mg C m␣ 3 day␣ 1 for the “chitobiase method”, “Huntley model”, and “Hirst model”, respectively. Considering all sampling sites and seasons, the magnitude of this difference corresponded to 1.95 and 2.49 mg C m␣ 3 day␣ 1 for the “Huntley model” and the “Hirst model”, respectively. These ␣ndings indicate the reliability of the enzymatic method in estimating crustacean production also in estuarine environments of changing salinity, as previously demonstrated for marine waters. In addition, the use of this method is more practical and comparatively less time-consuming and cheaper than the use of the mathematical models based on growth.en
dc.formatTexten
dc.format.extent1 digital file (p. 144-152)en
dc.format.mimetypeapplication/pdf
dc.identifier.citationRamos Avila, T., Abel de Souza Machado, A., & Bianchini, A. (2012). Estimation of zooplankton secondary production in estuarine waters: Comparison between the enzymatic (chitobiase) method and mathematical models using crustaceans. Journal of Experimental Marine Biology and Ecology 416-417,144-152.doi:10.1016/j.jembe.2012.02.015en
dc.identifier.issn0022-0981
dc.identifier.urihttp://hdl.handle.net/10625/52019
dc.identifier.urihttp://www.researchgate.net/publication/255786278_Estimation_of_zooplankton_secondary_production_in_estuarine_waters_Comparison_between_the_enzymatic_(chitobiase)_method_and_mathematical_models_using_crustaceans
dc.language.isoen
dc.publisherElsevieren
dc.subjectCHITOBIASEen
dc.subjectCRUSTACEAen
dc.subjectGROWTHen
dc.subjectSECONDARY PRODUCTIONen
dc.subjectZOOPLANKTONen
dc.subjectZOOPLANKTONen
dc.subjectMATHEMATICAL MODELSen
dc.subjectSAMPLINGen
dc.subjectPOPULATION ASPECTSen
dc.titleEstimation of zooplankton secondary production in estuarine waters : Comparison between the enzymatic (chitobiase) method and mathematical models using crustaceansen
dc.typeJournal Article (peer-reviewed)en
idrc.copyright.holderElsevier B.V.
idrc.dspace.accessIDRC Onlyen
idrc.noaccessDue to copyright restrictions the full text of this research output is not available in the IDRC Digital Library or by request from the IDRC Library. / Compte tenu des restrictions relatives au droit d'auteur, le texte intégral de cet extrant de recherche n'est pas accessible dans la Bibliothèque numérique du CRDI, et il n'est pas possible d'en faire la demande à la Bibliothéque du CRDI.en
idrc.project.componentnumber104519003
idrc.project.componentnumber104519011
idrc.project.number104519
idrc.project.titleInternational Research Chairs Initiative (IRCI)en
idrc.recordsserver.bcsnumberIC01-3412-183
idrc.rims.adhocgroupIDRC SUPPORTEDen

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