Evaluating landscape knowledge and lithic resource selection at the French Middle Paleolithic site of the Bau de l'Aubesier.

We report on the application of a novel approach to exploring the degree of landscape knowledge, wayfinding abilities, and the nature of decision-making processes reflected in the utilization of stone resources in the French Middle Paleolithic. Specifically, we use data from the site of the Bau de l'Aubesier to explore the reasons why a majority of the 350 raw material sources cataloged in the surrounding region appear not to have been utilized, including several located near the site and yielding high-quality lithic materials. To this end, we focus on the spatial relationships between sources as an explanatory variable, operationalized in terms of minimum travel times.

Change in raw material selection and subsistence behaviour through time at a Middle Palaeolithic site in southern France.

We apply a resource selection model to the lithic assemblages from 11 archaeological layers at a Middle Palaeolithic site in southern France, the Bau de l'Aubesier. The model calculates how to weight each of 10 variables in order to best match the proportions of raw materials from various potential sources in the lithic assemblages. We then combine the variables into two sets of five each, those related to the characteristics of the raw materials themselves, and those related to the sources and the terrain around them.

Resource selection of lithic raw materials in the Middle Palaeolithic in southern France.

The work reported here uses several approaches to examine the costs and benefits associated with exploiting potential sources of lithic raw material in the Vaucluse, southern France, and then tests the results against the proportions of raw materials from various sources found in the lithic assemblage of a Middle Palaeolithic site, the Bau de l'Aubesier. A previously published equation designed to quantify the attractiveness of each source proves to be significantly correlated with source use, but the results show that it can be improved. We then individually test the components of the attractiveness equation (raw material quality, source extent, terrain difficulty, and the size and abundance of raw material pieces at the source) and additional variables (Calories expended to get from the source to the site using a straight-line route, Calories expended using a least-cost path, surface distance of the source from the site, and distance to the closest used source) using generalized linear models.