2016
DOI: 10.1130/abs/2016am-283013
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The Impact of Cenozoic Cooling on the Diversity of Planktonic Foraminifera

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“…Although the spatial distribution of diversity of planktonic foraminifera is likely to emerge from the operation of many different processes, the results of our statistical approaches (GAMM and GF analysis) confirm the importance of SST in controlling the variability in the diversity of planktonic foraminifera (~70%), in line with previous works (e.g., Rutherford and D'Hondt, 2000;Tittensor et al, 2010;Fenton et al, 2016;Rillo et al, 2022). However, they also reveal a significant effect of EKE (~20%), which becomes apparent on the geographic distribution of the various diversity related indices (Figure 2).…”
Section: Discussionsupporting
confidence: 91%
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“…Although the spatial distribution of diversity of planktonic foraminifera is likely to emerge from the operation of many different processes, the results of our statistical approaches (GAMM and GF analysis) confirm the importance of SST in controlling the variability in the diversity of planktonic foraminifera (~70%), in line with previous works (e.g., Rutherford and D'Hondt, 2000;Tittensor et al, 2010;Fenton et al, 2016;Rillo et al, 2022). However, they also reveal a significant effect of EKE (~20%), which becomes apparent on the geographic distribution of the various diversity related indices (Figure 2).…”
Section: Discussionsupporting
confidence: 91%
“…In the current work, kriging was used as an interpolation method to produce maps of diversity (without constraint by any environmental variable). The use of interpolated surfaces permits to better see the underlying patterns, especially when many samples may get overlaid, such as in Figure 3 by Fenton et al (2016). Geostatistical techniques tend to produce smoother maps (unlike machine learning methods, for example, that…”
Section: Discussionmentioning
confidence: 99%
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