Ecological modeling of the temperature dependence of cryptic species of planktonic Foraminifera in the Southern Hemisphere

International audience Cryptic genetic species of planktonic Foraminifera often exhibit narrower biogeographic distributions and eco- logical preferences than the respective morphospecies. In theory, it should therefore be possible to improve the resolution of the paleoceanographic reconstructions b...

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Published in:Palaeogeography, Palaeoclimatology, Palaeoecology
Main Authors: Morard, Raphael, Quillevere, Frederic, Escarguel, Gilles, de Garidel-Thoron, Thibault, de Vargas, Colomban, Kucera, Michal
Other Authors: Laboratoire de Géologie de Lyon - Terre, Planètes, Environnement (LGL-TPE), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut national des sciences de l'Univers (INSU - CNRS)-Université Jean Monnet - Saint-Étienne (UJM)-Centre National de la Recherche Scientifique (CNRS), Adaptation et diversité en milieu marin (AD2M), Station biologique de Roscoff Roscoff (SBR), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Bio-Indic. & Traceurs, Centre européen de recherche et d'enseignement des géosciences de l'environnement (CEREGE), Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Zentrum für Marine Umweltwissenschaften Bremen (MARUM), Universität Bremen
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2013
Subjects:
Online Access:https://hal.science/hal-00911448
https://doi.org/10.1016/j.palaeo.2013.05.011
Description
Summary:International audience Cryptic genetic species of planktonic Foraminifera often exhibit narrower biogeographic distributions and eco- logical preferences than the respective morphospecies. In theory, it should therefore be possible to improve the resolution of the paleoceanographic reconstructions based on sediment assemblages of these species. Here, we use observational data on the latitudinal distribution of 11 genotypes of Globigerina bulloides (including a newly described genotype), Orbulina universa, Truncorotalia truncatulinoides and Globoconella inflata in plank- ton tows from south Indian Ocean to model the relationship between their abundance and the sea surface tem- perature (SST). We then use this model to assess the potential benefit of knowing the ecological preferences of cryptic species on assemblage-based transfer functions. In doing so, we first apply this model to a database of as- semblage counts in 1334 surface sediment samples from the Southern Hemisphere and simulate the expected abundances of individual genotypes in sediment samples. This simulated dataset is used to calibrate three differ- ent transfer functions: the Imbrie and Kipp Method, Weighted Averaging Partial Least Squares and Modern Analog Technique. Trials show that such simulated splitting of morphospecies into their respective genotypes leads to a substantial (7 to 25%) overall reduction of the error rates of SST estimates in the calibration dataset. The degree of error rate reduction is sensitive to the increase of taxonomic richness in the simulated assemblages induced by the co-occurrence of genotypes of the same morphospecies. Although the studied species occur across a broad SST range, the largest reduction of error rate by the transfer functions is obtained within the 4 °C to 12 °C SST range, where most of the studied genotypes are found. Our results show that all genotypes are not expected to improve the accuracy of transfer functions at the same level: while integrating cryptic diver- sity in G. bulloides, T. ...