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hal.structure.identifierInstitut méditerranéen de biodiversité et d'écologie marine et continentale [IMBE]
hal.structure.identifierAix-Marseille Sciences Economiques [AMSE]
dc.contributor.authorCONTRERAS, Daniel
hal.structure.identifierInstitut méditerranéen de biodiversité et d'écologie marine et continentale [IMBE]
dc.contributor.authorBONDEAU, Alberte
hal.structure.identifierCentre Européen de Recherche et d'Enseignement des Géosciences de l'Environnement [CEREGE]
dc.contributor.authorGUIOT, Joel
hal.structure.identifierCentre d'Analyse et de Mathématique sociales [CAMS]
dc.contributor.authorKIRMAN, Alan
hal.structure.identifierAusonius-Institut de recherche sur l'Antiquité et le Moyen âge
dc.contributor.authorHIRIART, Eneko
hal.structure.identifierÉtude des Civilisations de l'Antiquité : de la Préhistoire à Byzance [ARCHIMEDE]
dc.contributor.authorBERNARD, Loup
hal.structure.identifierAix Marseille Université [AMU]
dc.contributor.authorSUAREZ, Romain
hal.structure.identifierInstitut méditerranéen de biodiversité et d'écologie marine et continentale [IMBE]
dc.contributor.authorFADER, Marianela
dc.date.issued2019
dc.identifier.issn1040-6182
dc.description.abstractEnThis paper explores the relationship between past climate and prehistoric Mediterranean agriculture by adapting a process-based dynamic vegetation model to estimate potential agricultural productivity under climate scenarios that characterize the extremes of Mediterranean climate in the Holocene. We adapt LPJmL (the Lund-Potsdam-Jena-managed-land model [Bondeau et al., 2007]), a process-based dynamic vegetation model, to the modeling of potential agricultural productivity in the past. Calibrating this model for past crops and agricultural practices and using a downscaling approach to produce high spatiotemporal resolution paleoclimate data, we produce quantitative estimates of potential yields under past climatic conditions derived from four Holocene climatic extremes (warm/wet, warm/dry, cold/wet, and cold/dry) under two different assumptions (approximate high and low limits) about the intensity of agricultural practice. We here discuss this process with reference to a case study in Provence, examining the methodology and data requirements for modeling past agriculture using LPJmL and considering the implications of the range of variability in potential agricultural productivity under distinct climate conditions. We focus particularly on comparing the range of variability induced by climatic shifts with that achievable through changes in agricultural practices as a means of approaching questions of past vulnerability and resilience.
dc.description.sponsorshipAix-Marseille School of Economics - ANR-17-EURE-0020
dc.description.sponsorshipINITIATIVE D'EXCELLENCE AIX MARSEILLE UNIVERSITE - ANR-11-IDEX-0001
dc.language.isoen
dc.publisherElsevier
dc.subject.enPast climate impacts
dc.subject.enAgro-ecosystem modeling
dc.subject.enHuman-environment interaction
dc.subject.enPrehistoric agriculture
dc.title.enFrom paleoclimate variables to prehistoric agriculture: Using a process-based agro-ecosystem model to simulate the impacts of Holocene climate change on potential agricultural productivity in Provence, France
dc.typeArticle de revue
dc.identifier.doi10.1016/j.quaint.2018.02.019
dc.subject.halSciences de l'Homme et Société/Archéologie et Préhistoire
dc.subject.halSciences du Vivant [q-bio]/Sciences agricoles
dc.subject.halSciences de l'environnement
bordeaux.journalQuaternary International
bordeaux.page303-316
bordeaux.volume501B
bordeaux.peerReviewedoui
hal.identifierhal-01789787
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01789787v1
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