2003
DOI: 10.1080/00364820308466
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Polycystine radiolarians in the Greenland-Iceland-Norwegian Seas: Species and assemblage distribution

Abstract: Cortese G, Bjørklund KR, Dolven JK. 2003. Polycystine radiolarians in the Greenland-IcelandNorwegian Seas: species and assemblage distribution. Sarsia 88:65-88. SARSIACluster analysis and Q-mode factor analysis have been applied to polycystine radiolarian census data from 160 core-top samples. This allowed us to recognize four faunal assemblages in the GreenlandIceland-Norwegian Seas, each related to different oceanographic conditions. A regression equation for deriving palaeotemperatures from these assemblage… Show more

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Cited by 30 publications
(35 citation statements)
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“…Use of factor analysis allows getting back temperature estimates from the radiolarian micropaleontological data, and then we can compare them with measured oceanographic values. Temperature residuals (estimated minus measured temperature) for every station (Figure 7) vary between −4 and 4 • C. Standard error is ±1.45 • C for depth of 0 m, ±1.17 • C for depth of 100 m, ±1.04 • C for depth of 200 m, which is comparable with estimate of ±1.2 • C by Cortese et al (2003) for the sea surface summer temperature in the Nordic Seas. Error of the estimated temperatures obviously FIGURE 7 | Residuals (estimated minus measured temperature) and standard errors of estimated temperature.…”
Section: Resultssupporting
confidence: 70%
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“…Use of factor analysis allows getting back temperature estimates from the radiolarian micropaleontological data, and then we can compare them with measured oceanographic values. Temperature residuals (estimated minus measured temperature) for every station (Figure 7) vary between −4 and 4 • C. Standard error is ±1.45 • C for depth of 0 m, ±1.17 • C for depth of 100 m, ±1.04 • C for depth of 200 m, which is comparable with estimate of ±1.2 • C by Cortese et al (2003) for the sea surface summer temperature in the Nordic Seas. Error of the estimated temperatures obviously FIGURE 7 | Residuals (estimated minus measured temperature) and standard errors of estimated temperature.…”
Section: Resultssupporting
confidence: 70%
“…Matul and Yushina (1999) found five radiolarian cluster assemblages in the pelagic North Atlantic from the equatorial to subpolar areas. Cortese et al (2003) applied cluster analysis to the radiolarian dataset north of 60 • N in the northwestern North Atlantic and in the Nordic Seas; four clusters of stations reflected main oceanographic provinces. According to cluster analysis by Boltovskoy and Correa (2016), major biogeographic domains in the North Atlantic are Tropical-Subtropical, Transitional, Bi-Subpolar, and Northern Polar.…”
Section: Methodsmentioning
confidence: 99%
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