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Inverse model method for estimating assimilation by aquatic invertebrates

dc.contributor.authorLehmann, John T.en_US
dc.contributor.authorFoy, Robert J.en_US
dc.contributor.authorLehman, Donna A.en_US
dc.date.accessioned2006-09-08T19:41:38Z
dc.date.available2006-09-08T19:41:38Z
dc.date.issued2001-05en_US
dc.identifier.citationLehmann, John T.; Foy, Robert; Lehman, Donna A.; (2001). "Inverse model method for estimating assimilation by aquatic invertebrates." Aquatic Sciences 63(2): 168-181. <http://hdl.handle.net/2027.42/41840>en_US
dc.identifier.issn1015-1621en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/41840
dc.description.abstractPhysiological data indicate that a 3-compartment model appropriately represents ingestion, assimilation, and accumulation of somatic and reproductive tissue by an aquatic invertebrate predator. A secondary production model calibrated to growth and respiration data is used to constrain the model equations. Inverse solution methods are used to estimate rate constants for digestion and for net accrual of tissue by growing animals at different temperatures. Predicted time to 50% maximum digestion matches well with the empirical rate of digestion of prey enzymes in the predator gut. Model-derived digestion rates are consistent with the assimilation rate constant obtained by independent radiotracer methods, and with experimental detection time for prey enzymes. The model approach permits parameter estimation within a complex system of equations so that results can be compared with experimental data.en_US
dc.format.extent102105 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherBirkhäuser Verlag; Birkhäuser Verlag, ; Springer Science+Business Mediaen_US
dc.subject.otherKey Words:Bythotrephes, Prey Detection, Digestion Time, Inverse Models, Assimilation.en_US
dc.subject.otherLegacyen_US
dc.titleInverse model method for estimating assimilation by aquatic invertebratesen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelAtmospheric, Oceanic and Space Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Biology, Natural Science Building, University of Michigan, Ann Arbor, MI 48109, USA, US,en_US
dc.contributor.affiliationumDepartment of Biology, Natural Science Building, University of Michigan, Ann Arbor, MI 48109, USA, US,en_US
dc.contributor.affiliationumDepartment of Biology, Natural Science Building, University of Michigan, Ann Arbor, MI 48109, USA, US,en_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/41840/1/27-63-2-168_10630168.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/PL00001349en_US
dc.identifier.sourceAquatic Sciencesen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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