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Cited by 376

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Long livestock farming history and human landscape shaping revealed by lake sediment DNA

Open access
Giguet-Covex, Charline, Pansu, Johan, Arnaud, Fabien, Rey, Pierre-Jérôme, Griggo, Christophe, Gielly, Ludovic, Domaizon, Isabelle, Coissac, Eric, David, Fernand, Choler, Philippe, Poulenard, Jérôme, Taberlet, Pierre·2014·Nature Communications

Abstract

The reconstruction of human-driven, Earth-shaping dynamics is important for understanding past human/environment interactions and for helping human societies that currently face global changes. However, it is often challenging to distinguish the effects of the climate from human activities on environmental changes. Here we evaluate an approach based on DNA metabarcoding used on lake sediments to provide the first high-resolution reconstruction of plant cover and livestock farming history since the Neolithic Period. By comparing these data with a previous reconstruction of erosive event frequency, we show that the most intense erosion period was caused by deforestation and overgrazing by sheep and cowherds during the Late Iron Age and Roman Period. Tracking plants and domestic mammals using lake sediment DNA (lake sedDNA) is a new, promising method for tracing past human practices, and it provides a new outlook of the effects of anthropogenic factors on landscape-scale changes. Humans have influenced the shaping of the landscape for generations, yet disentangling these influences from those of climate is a challenge. Giguet-Covex et al.take the novel approach of using lake sediment DNA to reconstruct a detailed picture of human land use since the Neolithic Period.

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Crossref · 10.1038/ncomms4211

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Metadata

Authors
Giguet-Covex, C., Pansu, J., Arnaud, F., Rey, P.-J., Griggo, C., Gielly, L., Domaizon, I., Coissac, E., David, F., Choler, P., Poulenard, J., & Taberlet, P.
Venue
Nature Communications
Published
2014-02-03
Volume
5
Issue
1
Pages
3211-3211
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2006242401
Cited by
376
References
4
FWCI
16.67
Type
journal article
Language
en
Open access
hybrid

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