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Waterson, Amy; Edgar, Kirsty M; Schmidt, Daniela N; Valdes, Paul J (2017): Quantifying the stability of planktic foraminiferal physical niches [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.871284, Supplement to: Waterson, A et al. (2017): Quantifying the stability of planktic foraminiferal physical niches between the Holocene and Last Glacial Maximum. Paleoceanography, https://doi.org/10.1002/2016PA002964

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Abstract:
The application of transfer functions on fossil assemblages to reconstruct past environments is fundamentally based on the assumption of stable environmental niches in both space and time. We quantitatively test this assumption for six dominant planktic foraminiferal species (Globigerinoides ruber (pink), G. ruber (white), Trilobatus sacculifer, Truncorotalia truncatulinoides, Globigerina bulloides and Neogloboquadrina pachyderma) by contrasting reconstructions of species realised and optimum distributions in the modern and during the Last Glacial Maximum (LGM) using an ecological niche model (ENM; MaxEnt) and ordination framework. Global ecological niche models calibrated in the modern ocean have high predictive performance when projected to the LGM for sub-polar and polar species, indicating that the environmental niches of these taxa are largely stable at the global scale across this interval. In contrast, ENM's had much poorer predictive performance for the optimal niche of tropical-dwelling species, T. sacculifer and G. ruber (pink). This finding is supported by independent metrics of niche margin change, suggesting that niche stability in environmental space was greatest for (sub)polar species, with greatest expansion of the niche observed for tropical species. We find that globally calibrated ENMs showed good predictions of species occurrences globally, whereas models calibrated in either the Pacific or Atlantic Oceans only and then projected globally performed less well for T. sacculifer. Our results support the assumption of environmental niche stability over the last ~21,000 years for most of our focal planktic foraminiferal species and thus, the application of transfer function techniques for palaeoenvironmental reconstruction during this interval. However, the lower observed niche stability for (sub)tropical taxa T. sacculifer and G. ruber (pink) suggests that (sub)tropical temperatures could be underestimated in the glacial ocean with the strongest effect in the equatorial Atlantic where both species are found today.
Comment:
The data files (*.bil ArcGis) are the environmental and oceanographic raster layers used in all foraminifera niche model and ordination analyses.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
File contentContentWaterson, Amy
File nameFile nameWaterson, Amy
File formatFile formatWaterson, Amy
File sizeFile sizekByteWaterson, Amy
Uniform resource locator/link to fileURL fileWaterson, Amy
Size:
70 data points

Data

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File format

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Cold Quarter SST_LGMColdQ_T_LGM.bilBIL4556.25ColdQ_T_LGM.bil
Cold Quarter SST_PreIndustrialColdQ_T_PI.bilBIL4556.25ColdQ_T_PI.bil
Annual Mean Mixed Layer Depth_LGMMLD_ann_LGM.bilBIL4556.25MLD_ann_LGM.bil
Annual Mean Mixed Layer Depth_PreIndustrialMLD_ann_PI.bilBIL4556.25MLD_ann_PI.bil
Temperature_seasonality_LGMSeas_T_LGM.bilBIL4556.25Seas_T_LGM.bil
Temperature_seasonality_PreIndustrialT_seas_PI.bilBIL4556.25T_seas_PI.bil
Warm Quarter SST_LGMWarmQ_T_LGM.bilBIL4556.25WarmQ_T_LGM.bil
Warm Quarter SST_PreIndustrialWarmQ_T_PI.bilBIL4556.25WarmQ_T_PI.bil
Annual Mean SST_LGMannSST_LGM.bilBIL4556.25annSST_LGM.bil
Annual Mean SST_PreIndustrialannualSST_PI.bilBIL4556.25annualSST_PI.bil
Annual Mean Brunt Vaisala frequency_LGMbruntvaisala_ann_LGM.bilBIL4556.25bruntvaisala_ann_LGM.bil
Annual Mean Brunt Vaisala frequency_PreIndustrialbruntvaisala_ann_PI.bilBIL4556.25bruntvaisala_ann_PI.bil
Annual Mean Salinity_LGMsalinity_ann_LGM.bilBIL4556.25salinity_ann_LGM.bil
Annual Mean Salinity_PreIndustrialsalinity_ann_PI.bilBIL4556.25salinity_ann_PI.bil