2011
DOI: 10.1016/j.jaa.2011.05.003
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Eco-cultural niches of the Badegoulian: Unraveling links between cultural adaptation and ecology during the Last Glacial Maximum in France

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Cited by 58 publications
(35 citation statements)
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“…Previous approaches of prehistoric human distribution and niche modeling have trained the predictive models using archaeological site distribution data (79)(80)(81). By keeping our calibration model independent from the archaeological data, we are able to test our simulation with the archaeological data.…”
Section: Methodsmentioning
confidence: 99%
“…Previous approaches of prehistoric human distribution and niche modeling have trained the predictive models using archaeological site distribution data (79)(80)(81). By keeping our calibration model independent from the archaeological data, we are able to test our simulation with the archaeological data.…”
Section: Methodsmentioning
confidence: 99%
“…Barton et al (2011) have recently suggested that for a better understanding of the complexity of cultural transmission mechanisms, multidimensional models that combine biological, cultural and environmental data are required. Banks et al (2011), in their study of the French Badegoulian, applied an eco-cultural niche model geared towards examining the relationship between ecological and cultural systems. Data concerning lithic raw material circulation and production systems allowed them to identify distinct social territories within a single ecological niche.…”
Section: Introductionmentioning
confidence: 99%
“…The developers of MaxEnt argued its advantage to GARP in the accuracy of its prediction (Phillips et al, 2006), although others claimed that the geographical extents of the niche predicted by MaxEnt are narrower and more biased than those predicted by GARP (Peterson et al, 2007). This tendency has also been observed in the experimental studies for hunter-gatherers in the Badegoulian lithic industry in Western Europe at the LGM (Banks et al, 2011). A recent mathematical review revealed that species-specific tuning of model parameters should be required for improving the performance of MaxEnt because model performance varied among data-partitioning approaches and among regularization multipliers (Radosavljevic and Anderson, 2014).…”
Section: ) Ecological Niche Modelmentioning
confidence: 60%
“…Takahara and Kozu Island, annual precipitation, annual mean temperature, warmest and coldest month tempera- tures, and landform zones of water, lowland, plateau, hills, mountains and volcanoes). Model parameters were set similar to those in Banks et al (2011) ; Maximum iteration was 500 and 10,000 background points were taken. Convergence limit was set to 10 -5 .…”
Section: ) Ecological Niche Modelmentioning
confidence: 99%