Walking in mud: Remarkable Pleistocene human trackways from White Sands National Park (New Mexico)
Authors: Bennett, M.R., Bustos, D., Odess, D., Urban, T.M., Lallensack, J.N., Budka, M., Santucci, V.L., Martinez, P., Wiseman, A.L.A. and Reynolds, S.C.
Journal: Quaternary Science Reviews
Volume: 249
ISSN: 0277-3791
DOI: 10.1016/j.quascirev.2020.106610
Abstract:Human tracks at White Sands National Park record more than one and a half kilometres of an out- and-return journey and form the longest Late Pleistocene-age double human trackway in the world. An adolescent or small adult female made two trips separated by at least several hours, carrying a young child in at least one direction. Despite giant ground sloth and Columbian Mammoth transecting them between the outbound and return journeys, the human tracks show no changes indicative of predator/prey awareness. In contrast, the giant ground sloth tracks show behaviour consistent with human predator awareness, while mammoth tracks show no such apparent concern. The human footprints are morphologically variable and exhibit left-right asymmetry, which might be due to child carrying. We explore this morphological variability using methods based on the analysis of objective track outlines, which add to the analytical toolkit available for use at other human footprint sites. The sheer number of tracks and their remarkable morphological variability have implications for the reliability of inferences made using much smaller samples as are more common at typical footprint sites. One conclusion is that the number of footprints required to make reliable biometric inferences is greater than often assumed.
https://eprints.bournemouth.ac.uk/34821/
Source: Scopus
Walking in mud: Remarkable Pleistocene human trackways from White Sands National Park (New Mexico)
Authors: Bennett, M.R., Bustos, D., Odess, D., Urban, T.M., Lallensack, J.N., Budka, M., Santucci, V.L., Martinez, P., Wiseman, A.L.A. and Reynolds, S.C.
Journal: QUATERNARY SCIENCE REVIEWS
Volume: 249
ISSN: 0277-3791
DOI: 10.1016/j.quascirev.2020.106610
https://eprints.bournemouth.ac.uk/34821/
Source: Web of Science (Lite)
Walking in mud: Remarkable Pleistocene human trackways from White Sands National Park (New Mexico)
Authors: Bennett, M.
Journal: Quaternary Science Reviews: the international multidisciplinary research and review journal
Publisher: Elsevier
ISSN: 0277-3791
DOI: 10.1016/j.quascirev.2020.106610
https://eprints.bournemouth.ac.uk/34821/
Source: Manual
Walking in mud: Remarkable Pleistocene human trackways from White Sands National Park (New Mexico)
Authors: Bennett, M.R., Bustos, D., Odess, D., Urban, T.M., Lallensack, J.N., Budka, M., Santucci, V.L., Martinez, P., Wiseman, A.L.A. and Reynolds, S.C.
Journal: Quaternary Science Reviews
Volume: 249
Issue: Dec.
ISSN: 0277-3791
Abstract:Human tracks at White Sands National Park record more than one and a half kilometres of an out‐ and‐back journey and form the longest Late Pleistocene‐age double human trackway in the world. An adolescent or small adult female made two trips separated by at least several hours, carrying a young child in at least one direction. Despite giant ground sloth and Columbian Mammoth transecting them between the outbound and return journeys, the human tracks show no changes indicative of predator/prey awareness. In contrast, the giant ground sloth tracks show behaviour consistent with human predator awareness, while mammoth tracks show no such apparent concern. The human footprints are morphologically variable and exhibit left‐right asymmetry, which might be due to child carrying. We explore this morphological variability using methods based on the analysis of objective track outlines, which add to the analytical toolkit available for use at other human footprint sites. The sheer number of tracks and their remarkable morphological variability have implications for the reliability of inferences made using much smaller samples as are more common at typical footprint sites. One conclusion is that the number of footprints required to make reliable biometric inferences is larger than often assumed.
https://eprints.bournemouth.ac.uk/34821/
Source: BURO EPrints