Debora Zurro

Dr. Debora Zurro

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2009 in Quaternary International
Verified
Journal Article
Closed access
MOMargarita Osterrieth
Margarita Osterrieth
MMMarco Madella
Marco Madella
DZDebora Zurro
Debora Zurro
MAM. Fernanda Alvarez
M. Fernanda Alvarez

1 July 2019 in Earth-Science Reviews
Verified
Journal Article
Closed access
IRIrfan Rashid
Irfan Rashid
SMShowkat H. Mir
Showkat H. Mir
DZDebora Zurro
Debora Zurro
RDReyaz A. Dar
Reyaz A. Dar
ZRZafar A. Reshi
Zafar A. Reshi

1 June 2012 in Journal of Archaeological Science
Verified
Journal Article
Closed access
ACAndré Carlo Colonese
André Carlo Colonese
EVEster Verdún-Castelló
Ester Verdún-Castelló
MÁMyrian Álvarez
Myrian Álvarez
IGIvan Briz i Godino
Ivan Briz i Godino
DZDebora Zurro
Debora Zurro
LSLorena Salvatelli
Lorena Salvatelli

1 April 2016 in Journal of Archaeological Science
Verified
Journal Article
Closed access
DZDebora Zurro
Debora Zurro
JGJuan José García-Granero
Juan José García-Granero
CLCarla Lancelotti
Carla Lancelotti
MMMarco Madella
Marco Madella

4 April 2017 in Archaeological and Anthropological Sciences
Verified
Journal Article
Closed access
PDF file
DZDebora Zurro
Debora Zurro

29 May 2019 in PLOS ONE
Verified
Journal Article
Open access
PDF file
VAVirginia Ahedo
Virginia Ahedo
JCJorge Caro
Jorge Caro
EBEugenio Bortolini
Eugenio Bortolini
DZDebora Zurro
Debora Zurro
MMMarco Madella
Marco Madella
José Manuel GalánJosé Manuel Galán
José Manuel Galán
This article presents a cross-cultural study of the relationship among the subsistence strategies, the environmental setting and the food sharing practices of 22 modern small-scale societies located in America (n = 18) and Siberia (n = 4). Ecological, geographical and economic variables of these societies were extracted from specialized literature and the publicly available D-PLACE database. The approach proposed comprises a variety of quantitative methods, ranging from exploratory techniques aimed at capturing relationships of any type between variables, to network theory and supervised-learning predictive modelling. Results provided by all techniques consistently show that the differences observed in food sharing practices across the sampled populations cannot be explained just by the differential distribution of ecological, geographical and economic variables. Food sharing has to be interpreted as a more complex cultural phenomenon, whose variation over time and space cannot be ascribed only to local adaptation.