1994
DOI: 10.3354/meps107263
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Speciation of the tintinnid genus Cymatocylis by morphometric analysis of the loricae

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Cited by 29 publications
(23 citation statements)
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“…Species of certain genera are known to be capable of displaying different lorica morphologies (e.g., Gold and Morales, 1976;Davis, 1981;Laval-Peuto, 1983;Wasik, 1988;Williams et al, 1994). We adopted a what we term a 'conservative' approach, that is pooling apparent varieties.…”
Section: Tintinnid Sampling and Sample Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Species of certain genera are known to be capable of displaying different lorica morphologies (e.g., Gold and Morales, 1976;Davis, 1981;Laval-Peuto, 1983;Wasik, 1988;Williams et al, 1994). We adopted a what we term a 'conservative' approach, that is pooling apparent varieties.…”
Section: Tintinnid Sampling and Sample Analysismentioning
confidence: 99%
“…However, species in some genera are known to be polymorphic (e.g. Laval-Peuto, 1983;Williams et al, 1994).…”
Section: Introductionmentioning
confidence: 99%
“…Tintinnids were identified on the basis of lorica morphology using the classical taxonomic references (Brandt 1907;Laackmann 1910;Kofoid & Campbell 1929, 1939 and new taxonomic works (Cosper 1972;Davis 1979Davis , 1981Davis , 1985Hedin 1974;Sassi & Melo 1986;Gold & Morales 1975;Williams et al 1994;Fernandes 1999;Kršinić 2010).…”
Section: Taxonomic Considerationmentioning
confidence: 99%
“…5c) and P. acuta ( More than 40 species of the genus Cymatocylis were found in the Antarctic area by Kofoid & Campbell (1929), and 8 species with 14 forms were found by Alder (1999). Therefore, numerous investigations have focused on this genus (Balech 1973;Sassi et al 1986;Boltovskoy et al 1990;Williams et al 1994;Culverhouse et al 1994;Wasik 1998;Fernandes 1999). However I was noted only one species, C. convallaria Laackmann 1910.…”
Section: Taxonomic Considerationmentioning
confidence: 99%
“…Whereas multivariate statistical approaches have been used (Demers et al 1992;Carr et al 1996), and can be very successful if the appropriate technique can be found, this is often not simple, and invalid assumptions about distributions can cause major problems. Artificial neural networks (ANNs) on the other hand, do not require a-priori knowledge of underlying distributions, once trained they can make identifications in near real-time and have been shown to have considerable potential for identifying phytoplankton from AFC data (e.g., Frankel et al, 1989Frankel et al, , 1996Boddy et al, 1994;Wilkins et al, 1994Wilkins et al, , 1996 and from morphometric data (e.g., Culverhouse et al, 1994Culverhouse et al, , 1996Williams et al, 1994). Species identification is not always possible based on light scatter and fluorescence characteristics, due either to similarities in the optical characteristics between species or to certain species having a wide range of optical characteristics, such as with clumped cells or chains.…”
Section: Introductionmentioning
confidence: 99%