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Detection of temporospatially localized growth in ancient Southeast Asia using human skeletal remains

机译:利用人骨骼遗骸检测古东南亚古迹局部增长

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摘要

Measures of population growth can provide significant insights into the health, adaptivity and resilience of ancient communities, particularly the way in which human populations respond to major changes, such as the transition to agriculture. To date, paleodemographic tools have facilitated the evaluation of long term, regional population growth, while identification of intraregional variability and short-term growth has been more challenging. This study reports on the application of a new method for estimating the rate of natural population increase (RNPI) from skeletal remains. We have applied the method to ancient Southeast Asian samples and, based on the LOESS fitting procedure, our preliminary results indicate a trend of temporal homogeneity and spatial heterogeneity. This trend is validated against the existing archaeological narrative for the region and, we argue, may indicate intraregional variability in population responses to major technological, economic and sociocultural events, consistent with the variable response observed at the regional level. Due to the critical importance of temporospatial specificity to a vast array of paleodemographic research questions, we have evaluated the precision, assumptions and limitations of this method in the context of other existing paleodemographic methods. Our RNPI measure, in isolation or in combination with existing methods, provides a promising tool that can be used to develop a deeper and more localized understanding of the conditions impacting on population dynamics and, conversely, community responses to change.
机译:人口增长的措施可以对古社区的健康,适应性和复原力提供重要的见解,特别是人类人口对主要变化的影响,例如向农业过渡。迄今为止,古代迁移工具已经促进了长期的评估,区域人口增长,而鉴定了内部变异性和短期增长则更具挑战性。本研究报告了一种估算骨骼遗骸的新方法来估算新方法(RNPI)。我们已经将该方法应用于古代东南亚样本,并根据黄土拟合程序,我们的初步结果表明了时间均匀性和空间异质性的趋势。这种趋势是针对该地区现有的考古叙事验证,我们争辩,可能表明人口对主要技术,经济和社会文化事件的响应内的内部变异,与区域一级观察到的可变反应一致。由于时间间隙特异性对大量古逐映象的研究问题的重要性,我们在其他现有的古逐级定制方法的上下文中评估了这种方法的精度,假设和局限性。我们的RNPI衡量标准,单独或与现有方法结合使用,提供了一个有前途的工具,可用于开发对影响人口动态的条件的更深和更局部的理解,并相反地,社区反应变革。

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