Data from: Regional paleoclimates and local consequences: Integrating GIS analysis of diachronic settlement patterns and process-based agroecosystem modeling of potential agricultural productivity in Provence (France)
Hiriart, Eneko, Aix-Marseille University, Michel de Montaigne University Bordeaux 3
Bondeau, Alberte, Aix-Marseille University
Kirman, Alan, Aix-Marseille University
Guiot, Joël, Aix-Marseille University
Bernard, Loup, University of Strasbourg, University of Upper Alsace
Suarez, Romain, Aix-Marseille University
Van Der Leeuw, Sander, Arizona State University
Contreras, Daniel A., Aix-Marseille University, University of Maryland, College Park
Published Dec 13, 2018 on Dryad.
Cite this dataset
Contreras, Daniel et al. (2018). Data from: Regional paleoclimates and local consequences: Integrating GIS analysis of diachronic settlement patterns and process-based agroecosystem modeling of potential agricultural productivity in Provence (France) [Dataset]. Dryad. https://doi.org/10.5061/dryad.4rj3ks0
Holocene climate variability in the Mediterranean Basin is often cited as a potential driver of societal change, but the mechanisms of this putative influence are generally little explored. In this paper we integrate two tools - agro-ecosystem modeling of potential agricultural yields and spatial analysis of archaeological settlement pattern data - in order to examine the human consequences of past climatic changes. Focusing on a case study in Provence (France), we adapt an agro-ecosystem model to the modeling of potential agricultural productivity during the Holocene. Calibrating this model for past crops and agricultural practices and using a downscaling approach to produce high spatiotemporal resolution paleoclimate data from a Mediterranean Holocene climate reconstruction, we estimate realistic potential agricultural yields under past climatic conditions. These serve as the basis for spatial analysis of archaeological settlement patterns, in which we examine the changing relationship over time between agricultural productivity and settlement location. Using potential agricultural productivity (PAgP) as a measure of the human consequences of climate changes, we focus on the relative magnitudes of 1) climate-driven shifts in PAgP and 2) the potential increases in productivity realizable through agricultural intensification. Together these offer a means of assessing the scale and mechanisms of the vulnerability and resilience of Holocene inhabitants of Provence to climate change. Our results suggest that settlement patterns were closely tied to PAgP throughout most of the Holocene, with the notable exception of the period from the Middle Bronze Age through the Early Iron Age. This pattern does not appear to be linked to any climatically-driven changes in PAgP, and conversely the most salient changes in PAgP during the Holocene cannot be clearly linked to any changes in settlement pattern. We argue that this constitutes evidence that vulnerability and resilience to climate change are strongly dependent on societal variables.
LPJmL paleo-agroecological results
This dataset includes LPJmL (the Lund-Potsdam-Jena managed land model; see Bondeau et al. 2007 for details) results for high and low assumptions (Par 1 and and Par 2, respectively) about agricultural intensity for two crop types (wheat and peas) over the period 8400 – 1400 BP. Parameterization of LPJmL for past agriculture is based on archaeological, historic, ethnographic, and experimental data about pre-industrial agriculture, detailed in Contreras et al. 2018. These 300m-pixel annual reconstructions of potential agricultural productivity are based on paleoclimate data downscaled (see Contreras et al. 2018b) from Guiot and Kaniewski’s Mediterranean-wide Holocene reconstruction (Guiot and Kaniewski 2015).