2022
DOI: 10.5852/cr-palevol2022v21a27
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Étude taphonomique et spatiale des associations de grands mammifères non analogues du Pléistocène supérieur de la Grotte XVI (Dordogne, France)

Abstract: The study of fossil bone assemblages has brought up evidence of the existence in the Pleistocene of faunal communities with no modern analogues. This is notably the case for Palaeolithic archaeological sites that have yielded, in the same stratigraphic layers, remains of species that are rarely sympatric in present-day ecosystems. The Mousterian – layer C – and Châtelperronian – layer B – of Grotte XVI (Dordogne, France) provide examples of such “composite” faunas: high proportions of Red deer (21 % and 34 % o… Show more

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Cited by 2 publications
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“…As such, time is partitioned into discrete spatial units, namely layers, levels, assemblages, spits, phases or periods. These analytical units used to perceive and organise time have a dramatic impact on archaeological inference; they de ne its resolution and constrain the chronological grain, they in uence the way cultural assemblages or techno-complexes are de ned, interpreted and compared (e.g., Bordes, 2002Bordes, , 2012Gravina et al, 2018), as well as the manner in which past environments are reconstructed (e.g., Royer, 2014;Discamps & Dancette, 2022).…”
Section: Introduction: the In Uence Of Field Layers As Units Of Analysismentioning
confidence: 99%
“…As such, time is partitioned into discrete spatial units, namely layers, levels, assemblages, spits, phases or periods. These analytical units used to perceive and organise time have a dramatic impact on archaeological inference; they de ne its resolution and constrain the chronological grain, they in uence the way cultural assemblages or techno-complexes are de ned, interpreted and compared (e.g., Bordes, 2002Bordes, , 2012Gravina et al, 2018), as well as the manner in which past environments are reconstructed (e.g., Royer, 2014;Discamps & Dancette, 2022).…”
Section: Introduction: the In Uence Of Field Layers As Units Of Analysismentioning
confidence: 99%