2022
DOI: 10.1016/j.quaint.2022.02.005
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Late-Glacial palaeotemperatures and palaeoprecipitations in the Aubrac Mountains (French Massif Central) reconstructed from multiproxy analyses (Coleoptera, chironomids and pollen)

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Cited by 8 publications
(9 citation statements)
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“…The climate became distinctly warmer at 11 700 cal BP with the onset of the Holocene Interglacial (Rasmussen et al, 2014). These rapid and marked climate oscillations have been observed in the Greenland ice core records (Rasmussen et al, 2014) and in Europe from various proxies such as pollen, oxygen isotopes, molecular biomarkers, beetles and chironomids (Coope and Lemdahl, 1995;Ammann et al, 2000;Peyron et al, 2005;Lotter et al, 2012;Blaga et al, 2013;Moreno et al, 2014;Heiri et al, 2015;Ponel et al, 2022;Duprat-Oualid et al, 2022).…”
Section: Introductionmentioning
confidence: 85%
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“…The climate became distinctly warmer at 11 700 cal BP with the onset of the Holocene Interglacial (Rasmussen et al, 2014). These rapid and marked climate oscillations have been observed in the Greenland ice core records (Rasmussen et al, 2014) and in Europe from various proxies such as pollen, oxygen isotopes, molecular biomarkers, beetles and chironomids (Coope and Lemdahl, 1995;Ammann et al, 2000;Peyron et al, 2005;Lotter et al, 2012;Blaga et al, 2013;Moreno et al, 2014;Heiri et al, 2015;Ponel et al, 2022;Duprat-Oualid et al, 2022).…”
Section: Introductionmentioning
confidence: 85%
“…The proxies largely used to quantitatively reconstruct past climate changes are often a single-proxy approach (e.g., Heiri et al, 2015;Gandouin et al, 2016;Peyron et al, 2017;Marchegiano et al, 2020;Duprat-Oualid et al, 2022). Multiproxy approaches on the same sedimentary record, including independent climate proxies, are necessary to better understand the climate processes in Europe during the Late Glacial (Lotter et al, 2012;Ponel et al, 2022). Pollen-based reconstructions have the advantage of reconstructing temperatures, precipitation and seasonality; however, the climate signal can be perturbed by other factors such as CO 2 changes and human impact influencing vegetation development (Peyron et al, 2005).…”
Section: Introductionmentioning
confidence: 99%
“…The general assumption is that all proxies used to reconstruct climate changes are to some extent dependent on climatic parameters, but other factors can influence their distribution and/or abundance (e.g., human activities, biological processes, edaphic conditions, etc.) (Sugita et al, 2006;Huguet et al 2010;Martin et al, 2020;Ponel et al, 2022). In peat, this local environmental context can be understood through geochemical and sedimentary analyses based on X-ray fluorescence analysis (XRF) or loss on ignition (LOI), to investigate mineral inputs and organic matter content.…”
Section: Introductionmentioning
confidence: 99%
“…These rapid and marked climate oscillations have been observed in the Greenland ice core records (Rasmussen et al, 2014) and in Europe from various proxies such as pollen, oxygen isotopes, molecular biomarkers, beetles, and chironomids (e.g. Coope and Lemdahl, 1995;Ammann et al, 2000;Coope and Lemdahl, 1995;Peyron et al, 2005;Lotter et al, 2012;Millet et al, 2012;Blaga et al, 2013;Moreno et al, 2014;Heiri et al, 2015;Ponel et al, 2022;Duprat-Oualid et al, 2022). Regional climate differences have been evidenced during the Lateglacial, and temperature trends in Europe and the Mediterranean region are still a matter of active research and debate.…”
Section: Introductionmentioning
confidence: 99%
“…Heiri et al, 2015;Gandouin et al, 2016;Peyron et al, 2017;Marchegiano et al, 2020;Duprat-Oualid et al, 2022). Multiproxy approaches on the same sedimentary record, including independent climate proxies, are necessary to better understand the climate processes in Europe during the Lateglacial (Lotter et al, 2012;Ponel et al, 2022). Pollen-based reconstructions have the advantage of reconstructing temperatures, precipitation, and seasonality, however, the climate signal can be perturbed by other factors such as CO2 changes and human impact influencing vegetation development (Peyron et al, 2005).…”
Section: Introductionmentioning
confidence: 99%