Phytoplankton assemblages, environmental influences and trophic status using canonical correspondence analysis, fuzzy relations, and linguistic translation.
dc.contributor.author | Pappas, Janice L. | |
dc.date.accessioned | 2011-04-26T12:58:08Z | |
dc.date.available | 2011-04-26T12:58:08Z | |
dc.date.issued | 2010 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/83676 | |
dc.description.abstract | In a global assessment, canonical correspondence analysis (CCA) andpartialCCAwere used to ordinate LakeHuron phytoplankton abundances from June and August 1991 and environmental variables. June taxa were associated with NO3 and chloride, while August taxa were associated with SiO2 and temperature, and to some degree, with TSP and NH3. Dominant taxa were Asterionella formosa, Fragilaria capucina, Fragilaria crotonensis, Tabellaria fenestrata, and Urosolenia eriensis in June, and Achnanthidium minutissimum, Cyclotella #6, Cyclotella comensis, Cyclotella michiganiana, and Cyclotella pseudostelligera in August reflecting seasonal change. From local analysis using results from CCA and partial CCA in fuzzy relational analysis, A. minutissimum and C. comensis were influential in June, while F. crotonensis was influential in August. From linguistic translation and trophic status assignment, F. capucina and T. fenestrata indicated eutrophy, A. formosa indicated mesotrophy, C. pseudostelligera indicated mesotrophy–eutrophy, F. crotonensis and U. eriensis indicated oligotrophy–eutrophy, Cyclotella #6 indicated oligotrophy–mesotrophy, and C. michiganiana indicated oligotrophy. A linguistic solution with respect to trophic status is useful for policy makers and others interested in understanding water quality and ways to develop decisions about remediation. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Diatoms | en_US |
dc.subject | Environmental Indicator | en_US |
dc.subject | Linguistic Modifiers | en_US |
dc.subject | Great Lakes | en_US |
dc.subject | Seasonal Succession | en_US |
dc.title | Phytoplankton assemblages, environmental influences and trophic status using canonical correspondence analysis, fuzzy relations, and linguistic translation. | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Science (General) | |
dc.subject.hlbsecondlevel | Ecology and Evolutionary Biology | |
dc.subject.hlbtoplevel | Science | |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Museum of Paleontology | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/83676/1/JLP-EcoInf2010.pdf | |
dc.identifier.doi | 10.1016/j.ecoinf.2009.08.005 | |
dc.identifier.source | Ecological Informatics | en_US |
dc.description.mapping | -1 | en_US |
dc.owningcollname | Zoology, University of Michigan Museum of (UMMZ) |
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