Emilie Gauthier

Prof. Emilie Gauthier

Laboratoire de Chrono-Environnement, UMR CNRS 6249, Université Bourgogne Franche-Comté, Besançon, France

Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 May 2010 in Vegetation History and Archaeobotany
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Journal Article
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EGEmilie Gauthier
Emilie Gauthier
VBVincent Bichet
Vincent Bichet
CMCharly Massa
Charly Massa
CPChristophe Petit
Christophe Petit
BVBoris Vannière
Boris Vannière
HRHervé Richard
Hervé Richard

10 November 2016 in Molecular Ecology
Verified
Journal Article
Closed access
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ECEric Capo
Eric Capo
DDDidier Debroas
Didier Debroas
Fabien ArnaudFabien Arnaud
Fabien Arnaud
TGTyphaine Guillemot
Typhaine Guillemot
VBVincent Bichet
Vincent Bichet
IDIsabelle Domaizon
Isabelle Domaizon

1 January 2012 in Quaternary Science Reviews
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Journal Article
Closed access
CMCharly Massa
Charly Massa
VBVincent Bichet
Vincent Bichet
EGEmilie Gauthier
Emilie Gauthier
BPBianca B. Perren
Bianca B. Perren
OMOlivier Mathieu
Olivier Mathieu
HRHervé Richard
Hervé Richard

29 April 2023 in Land
Verified
Journal Article
Open access
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MSMaria Antonia Serge
Maria Antonia Serge
Mazier FlorenceMazier Florence
Mazier Florence
RFRalph McKinlay Fyfe
Ralph McKinlay Fyfe
Marie-Jose GaillardMarie-Jose Gaillard
Marie-Jose Gaillard
TKT. Klein
T. Klein
VZV. P. Zernitskaya
V. P. Zernitskaya
Reliable quantitative vegetation reconstructions for Europe during the Holocene are crucial to improving our understanding of landscape dynamics, making it possible to assess the past effects of environmental variables and land-use change on ecosystems and biodiversity, and mitigating their effects in the future. We present here the most spatially extensive and temporally continuous pollen-based reconstructions of plant cover in Europe (at a spatial resolution of 1° × 1°) over the Holocene (last 11.7 ka BP) using the ‘Regional Estimates of VEgetation Abundance from Large Sites’ (REVEALS) model. This study has three main aims. First, to present the most accurate and reliable generation of REVEALS reconstructions across Europe so far. This has been achieved by including a larger number of pollen records compared to former analyses, in particular from the Mediterranean area. Second, to discuss methodological issues in the quantification of past land cover by using alternative datasets of relative pollen productivities (RPPs), one of the key input parameters of REVEALS, to test model sensitivity. Finally, to validate our reconstructions with the global forest change dataset. The results suggest that the RPPs.st1 (31 taxa) dataset is best suited to producing regional vegetation cover estimates for Europe. These reconstructions offer a long-term perspective providing unique possibilities to explore spatial-temporal changes in past land cover and biodiversity.

1 October 2012 in Review of Palaeobotany and Palynology
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Journal Article
Closed access
BDBenjamin Dietre
Benjamin Dietre
EGEmilie Gauthier
Emilie Gauthier
FGFrançois Gillet
François Gillet

1 May 2009 in Quaternary International
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Journal Article
Closed access
MMM. Magny
M. Magny
OPO. Peyron
O. Peyron
EGEmilie Gauthier
Emilie Gauthier
YRY. Rouèche
Y. Rouèche
ABA. Bordon
A. Bordon
BVBoris Vannière
Boris Vannière