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Modeling Livestock's Contribution to the Duration of the Village Farming Lifeway in Pre-State Societies

机译:在州前社会中模拟牲畜对乡村农业生命周期持续时间的贡献

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This study expands previous research by Carol Raish (1992) on duration and stability of village farming societies in which she argued that the presence of domesticated livestock enhances the stability of pre-state farming societies. The study uses methods developed by Lewis Binford in Constructing Frames of Reference (2001) and contributes to the growing modeling literature using environmental frames of reference to understand archaeological sequences. The 16 archaeological sequences in Raisha€?s study and standardized environmental variables are used to generate regression equations to project duration, while discriminant function equations are used to project presence or absence of domesticated animals for a global dataset of weather station locations. This manuscript explains the modeling strategy, demonstrates the resulting patterns, and discusses this techniquea€?s potential for future research in archaeology. The models developed here attempt to find cross-cultural patterns to determine if rates of social change and subsistence patterns vary with specific environmental properties. The results of the models show that societies with domesticated animals persist longer without developing hierarchies or other signs associated with state-level societies. Additionally, the presence of domesticated animals correlates with decreased secondary biomass, a shorter time between the warmest and wettest months, and shorter distances to the nearest coast.
机译:这项研究扩展了Carol Raish(1992)以前关于乡村农业社会的持续时间和稳定性的研究,在该研究中,她认为家畜的存在增强了州前农业社会的稳定性。这项研究使用了刘易斯·本福德(Lewis Binford)在《构建参考系》(Constructions of References,2001)中开发的方法,并为使用环境参考系理解考古序列的建模文献做出了贡献。 Raisha研究中的16个考古序列和标准化的环境变量用于生成回归方程以预测持续时间,而判别函数方程则用于预测全球气象站位置数据集是否存在驯养动物。该手稿解释了建模策略,演示了产生的模式,并讨论了该技术在考古学未来研究中的潜力。这里开发的模型试图找到跨文化模式,以确定社会变化率和生存模式是否随特定的环境特性而变化。模型的结果表明,拥有驯养动物的社会可以生存更长的时间,而不会发展等级制度或与州级社会相关的其他迹象。此外,家养动物的存在与次生生物量减少,最温暖和最潮湿月份之间的时间较短以及到最近海岸的距离较短有关。

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