Reconstruction of the Grande Pile Eemian using inverse modeling of biomes and delta C-13

International audience A new method to reconstruct past climatic conditions between 130 and 100 ka BP from pollen and isotopic data is applied to a previously unanalyzed Grande Pile core, GPXXI. We applied the inverse mode to the Biome4 vegetation model. The method utilizes delta C-13, measured in p...

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Bibliographic Details
Published in:Quaternary Science Reviews
Main Authors: Rousseau, Denis-Didier, Hatté, Christine, Guiot, Joel, Duzer, Danièle, Schevin, Patrick, Kukla, G.
Other Authors: Institut des Sciences de l'Evolution de Montpellier (UMR ISEM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École Pratique des Hautes Études (EPHE), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Montpellier (UM)-Institut de recherche pour le développement IRD : UR226-Centre National de la Recherche Scientifique (CNRS), Lamont-Doherty Earth Observatory (LDEO), Columbia University New York, Lehrstuhl für Geomorphologie, Universität Bayreuth, Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Géochrononologie Traceurs Archéométrie (GEOTRAC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), 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)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2006
Subjects:
Online Access:https://hal.science/halsde-00339202
https://doi.org/10.1016/j.quascirev.2006.06.011
Description
Summary:International audience A new method to reconstruct past climatic conditions between 130 and 100 ka BP from pollen and isotopic data is applied to a previously unanalyzed Grande Pile core, GPXXI. We applied the inverse mode to the Biome4 vegetation model. The method utilizes delta C-13, measured in parallel to the pollen samples as a constraint for the model. First the biomes and the delta C-13 simulated by the model are compared with the biome allocation of the pollen data. The delta C-13 to be simulated takes into account the degradation effect on the preserved organic matter. This procedure allows the reconstruction of the mean annual temperature and precipitation as well as the mean temperatures of the warmest and coldest months. We show that during the Eemian sensu stricto, the reconstructed precipitation is similar to modern values with low variability. The cold stadials and the penultimate glaciation are characterized by very low precipitation amounts. The temperature estimates, however, indicate differences with several oscillations identified. The peak values are reached at about 124-125 ka BP, but two other warm intervals are also identified. The variations in temperature appear to be related to sea-surface temperature oscillations in the North Atlantic region and are also in agreement with the timing of ice sheet build-up in the Northern Hemisphere. Seasonal variations are also identified in the estimated temperatures of the warmest and coldest months. (c) 2006 Elsevier Ltd. All rights reserved.