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A morphometric method for correcting phytoplankton cell volume estimates

dc.contributor.authorSicko-Goad, Lindaen_US
dc.contributor.authorLadewski, Barbara G.en_US
dc.contributor.authorStoermer, Eugene F.en_US
dc.date.accessioned2006-09-08T19:34:37Z
dc.date.available2006-09-08T19:34:37Z
dc.date.issued1977-06en_US
dc.identifier.citationSicko-Goad, Linda; Stoermer, E. F.; Ladewski, Barbara G.; (1977). "A morphometric method for correcting phytoplankton cell volume estimates." Protoplasma 93 (2-3): 147-163. <http://hdl.handle.net/2027.42/41732>en_US
dc.identifier.issn0033-183Xen_US
dc.identifier.issn1615-6102en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/41732
dc.description.abstractCell volume calculations are often used to estimate biomass of natural phytoplankton assemblages. Such estimates may be questioned due to morphological differences in the organisms present. Morphometric analysis of 8 species representative of phytoplankton types found in the Great Lakes shows significant differences in cell constituent volumes. Volume of physiologically inert wall material ranges from nil, in some flagellates, to over 20% of the total cell volume in certain diatoms. Likewise, “empty” vacuole may comprise more than 40% of the total cell volume of some diatoms, but less than 3% of the volume of some flagellates. In the organisms investigated, the total carbon containing cytoplasm ranged from 52% to 98% of the total cell volume and the metabolizing biovolume ranged from 30% to 82%. Although these differences complicate direct biomass estimation, morphometric analysis at the ultrastructural level may provide ecologically valuable insights.en_US
dc.format.extent1609179 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherSpringer-Verlagen_US
dc.subject.otherPlant Sciencesen_US
dc.subject.otherCell Biologyen_US
dc.subject.otherLife Sciencesen_US
dc.subject.otherZoologyen_US
dc.titleA morphometric method for correcting phytoplankton cell volume estimatesen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelNatural Resources and Environmenten_US
dc.subject.hlbsecondlevelMolecular, Cellular and Developmental Biologyen_US
dc.subject.hlbsecondlevelEcology and Evolutionary Biologyen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumGreat Lakes Research Division, The University of Michigan, Ann Arbor, Michigan, USAen_US
dc.contributor.affiliationumGreat Lakes Research Division, The University of Michigan, Ann Arbor, Michigan, USAen_US
dc.contributor.affiliationumGreat Lakes Research Division, The University of Michigan, Ann Arbor, Michigan, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/41732/1/709_2005_Article_BF01275650.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF01275650en_US
dc.identifier.sourceProtoplasmaen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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