首页> 外文期刊>Journal of Archaeological Science >Understanding resource choice at the transition from foraging to farming: An application of palaeodistribution modelling to the Neolithic of the Konya Plain, south-central Anatolia, Turkey
【24h】

Understanding resource choice at the transition from foraging to farming: An application of palaeodistribution modelling to the Neolithic of the Konya Plain, south-central Anatolia, Turkey

机译:了解从觅食到农业过渡的资源选择:古地区分布模型在Konya平原新石器时代的应用,土耳其

获取原文
获取原文并翻译 | 示例
           

摘要

The role of the environment in shaping agricultural origins is still not fully understood, despite a century of debate on this topic. Comparison of the expected prevalence of a resource in the landscape with actual archaeological presence of the same resource can provide a metric for assessing resource choice in prehistory. However, the palaeoenvironmental data that would allow resource choice to be evaluated in this way are rarely available. Species Distribution Modelling (SDM) techniques allow independent palaeoenvironmental datasets to be computed, which when compared to actual species' presence at sites as attested by archaeological datasets, can provide data on resource choice. Following recent calls for SDM to be applied more widely in archaeological contexts, we outline a simple method for predicting the presence of plant species in prehistory using modern analogues and palaeoclimatic datasets. These modelled distributions provide an independent dataset for comparison with archaeological data, thus providing a window into human resource choice in prehistory. We outline the method with specific reference to the transition from foraging to farming in the Neolithic of Central Anatolia, but the method could be applied to any period or region. We have used exclusively open source data and provided all code in our online supplementary materials, so that our method can be utilized by researchers interested in human resource choice in any region of the world and any period. (C) 2018 Elsevier Ltd. All rights reserved.
机译:尽管在这个话题的辩论中,但环境在塑造农业起源中的作用仍然没有完全理解。与实际考古存在相同资源的景观中资源的预期流行的比较可以提供评估在预is0中的资源选择的指标。但是,允许以这种方式评估资源选择的古环境数据很少可用。物种分布建模(SDM)技术允许计算独立的古环境数据集,该数据集与考古数据集所证明的站点的实际物种的存在相比,可以提供资源选择的数据。在最近呼吁SDM在考古背景下更广泛地应用,我们概述了一种简单的方法,用于使用现代类似物和古希文数据集预测史前植物种类的存在。这些建模的分布提供了一个独立的数据集,可与考古数据进行比较,从而在迄今介绍的人力资源选择中提供窗口。我们概述了具体参考的方法,从觅食到中央安托利亚新石器时代的过渡到耕作,但该方法可以应用于任何时期或地区。我们专门使用了开源数据,并提供了在我们的在线补充材料中的所有代码,以便我们的方法可以通过对世界任何地区和任何期间的人力资源选择的研究人员使用。 (c)2018年elestvier有限公司保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号