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Human existence potential in Europe during the Last Glacial Maximum

Klein, Konstantin; Wegener, Christian; Schmidt, Isabell; Rostami, Masoud; Ludwig, Patrick; Ulbrich, Sven; Richter, Jürgen; Weniger, Gerd-Christian; Shao, Yaping

Archaeological records indicate that many regions in Europe were unoccupied by hunter-gatherers during the Last Glacial Maximum (LGM), probably due to the harsh climatic conditions and glacial extent. In the populated regions of southwestern Europe, a new technocomplex, the Solutrean, is known to have emerged among hunter-gatherers but did not reach the regions east of 10°E. To better understand human occupation of Europe during the LGM, Human Existence Potential (HEP) is presented, which expresses the suitability for hunter-gatherers to inhabit a region under given environmental conditions. We estimate the HEP based on archaeological site locations and reconstructed climate/environment data. By geostatistic upscaling of archaeological site distributions into Core Areas, we distinguish areas that were likely to be continuously occupied by hunter-gatherers, from areas intermittently occupied. The use of Core Areas in the model is found to better describe regions of continuous human presence, removing some of the previously observed mismatches between reconstructions and archaeological records. Using HEP, important anthropological and archaeological questions can be studied. ... mehr

DOI: 10.1016/j.quaint.2020.07.046
Zitationen: 3
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Forschungsbereich Troposphäre (IMK-TRO)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 08.2020
Sprache Englisch
Identifikator ISSN: 1040-6182
KITopen-ID: 1000122944
HGF-Programm 12.01.02 (POF III, LK 01) Proc.res.f.multisc.predictab.of weather
Erschienen in Quaternary international
Verlag Elsevier
Schlagwörter Human existence potential, Last glacial maximum (LGM), Solutrean, Epigravettian, Environmental human catchment, Best potential path, Logistic regression
Nachgewiesen in Dimensions
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