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Evaluating Viking eco-cultural niche variability between the Medieval Climate Optimum and the Little Ice Age. 1 Univ. Bordeaux, PACEA, UMR 5199, F-33400 Talence, France. Antunes Nicolas 1 , William Banks 1 , Francesco D’Errico 1.
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Evaluating Viking eco-cultural niche variability between the Medieval Climate Optimum and the Little Ice Age 1Univ. Bordeaux, PACEA, UMR 5199, F-33400 Talence, France. Antunes Nicolas 1, William Banks1, Francesco D’Errico1 DEBATING SPATIAL ARCHAEOLOGYInternational Workshop on Landscape and Spatial Analysis in ArchaeologySantander, June 8th - 9th, 2012
EcologicalNiche(Hutchinson 1957) : a region in a multi-dimensional space of environmental factors that allow species survival (n-dimensional = hypervolume). => Predictive Algorithms
Predictive Algorithms GARP: Genetic Algorithm Rule-set Prediction (Stockwell and Petersr, 1999) Maxent :Maximum Entropy (Phillips et al., 2004, 2006)
Obtaining a niche prediction • 1 – Observed presence – geographic coords. • - Presence / absence or pseudo-absence • Presence only
Obtaining a niche prediction • 1 – Observed presence – geographic coords. • - Presence / absence or pseudo-absence • Presence only
Obtaining a niche prediction • 1 – Observed presence – geographic coords. • - Presence / absence or pseudo-absence • Presence only 2 – Environmental layers
Obtaining a niche prediction • 1 – Observed presence – geographic coords. • - Presence / absence or pseudo-absence • Presence only 2 – Environmental layers 3 – Algorithm Run => Hypervolume calculation => Applied to each pixel.
Obtaining a niche prediction • 1 – Observed presence – geographic coords. • - Presence / absence or pseudo-absence • Presence only 2 – Environmental layers 3 – Algorithm Run => Hypervolume calculation => Applied to each pixel. Ecological Niche Estimation
Eco-cultural Niche Modelling ( ECNM) • Replacement of Species by Culture Culture locations Predictive Algorithm Ecocultural Niche Environnemental layers
Collapse hypothesis • Isolated
Collapse hypothesis • Iron • Timber • Fresh water • Hay • Isolated • Wind & SummerDrought
Collapse hypothesis • Iron • Timber • Fresh water • Hay • Isolated • Wind & SummerDrought • Disease & Famine
Collapse hypothesis • Iron • Timber • Fresh water • Hay • Isolated • Wind & SummerDrought • Disease & Famine • Farming Impact
Collapse hypothesis • Iron • Timber • Fresh water • Hay • Isolated • Wind & SummerDrought • Disease & Famine • Farming Impact • Conflictwithindigenous • Piracy
Collapse hypothesis • Iron • Timber • Fresh water • Hay • Isolated • Wind & SummerDrought • Disease & Famine • Farming Impact • Conflictwithindigenous • Piracy Little Ice Age
first to disappear (Abandoned Sites before 1350 AD) Sites occupied during MCO and the LIA
MCO Settlement LIA Settlement Settlement location
Example: January, 801 DCE, Global simulation (Jungclaus 2010) Surface Solar Radiation Surface Temperature Mean Barometric Pressure Precipitation
Spatial Focus : Northern Regions Time Focus 1: IX / X Centuries Time Focus 2: XV /XVI Centuries Mean by year Mean by January Monthes Mean by April Monthes Mean by July Monthes Mean by October Monthes Mean by year Mean by January Monthes Mean by April Monthes Mean by July Monthes Mean by October Monthes 20 Climatic Variables 20 Climatic Variables
Interpolation of each 2x20 layers Var LD Var HD =>future = Statistical DownScaling
EnvironementalLayers DEM 20 Climatic Variables future experiments => more topographic variables
Maxent GARP MCO MCO LIA LIA Presenceprobability
Quantifying the environmental parameters that define the predicted niche presence presence presence Environmental Layers (x21) ECNM Prediction => Principal Component Analysis (PCA)
Densities of predicted area as a function of climatic variables October Precipitation MCO Settlement LIA Settlement July Solar Radiation January Barometric Pressure October Temperature
Densities of predicted area as a function of climatic variables October Precipitation MCO Settlement LIA Settlement July Solar Radiation Left offset of Niche January Mean Sea Level Pressure at the Surface October Temperature
Perspectives • Add additional variables • Apply Downscaling method • Compare Niche Breadth • Evaluate possible niche shift