随机森林模型强调了早期智人的栖息地及其与石器组合组成的关系

Lucy Timbrell , James Blinkhorn , Matt Grove
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引用次数: 0

摘要

东非在理解与古环境变化有关的现代人类进化方面起着持久的作用。许多研究表明,生态和地理因素决定了该地区在中石器时代(MSA)的技术和文化行为的时空模式,这一技术阶段与非洲智人的出现有关。我们使用生态文化生态位建模方法来评估不同环境和地理变量在确定早期人类可能生活的地方的重要性,以及栖息地适宜性对东非MSA石器记录的不同方面的影响。我们将随机森林(一种强大且高度灵活的机器学习工具,用于生态位建模)与高时间分辨率的古气候模拟相结合。地形因素、与水的距离和净初级生产力是预测东非MSA站点位置的最重要因素,其次是一系列降水和温度变量。研究发现,环境适宜性对群落的整体组成有显著影响,表明在景观中占据最佳区域和外围区域的种群使用不同的人工制品类型和减少技术。这些包括使用烧伤、双面修饰工具和双极技术,这些更有可能发生在最理想的区域。核心工具、勒瓦卢瓦点和刀片技术以及齿状物与更外围的领域有关,因此可能与适应更危险的生态系统有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Random forest models highlight early Homo sapiens habitats and their relationship to lithic assemblage composition
Eastern Africa plays an enduring role in understanding the evolution of modern humans in relation to palaeoenvironmental change. Numerous studies have implicated ecological and geographic factors in determining the spatiotemporal patterning of technological and cultural behaviour seen in the region during the Middle Stone Age (MSA), the technological phase associated with the emergence of Homo sapiens in Africa. We use an eco-cultural niche modelling approach to evaluate the importance of different environmental and geographical variables in determining where early humans could have lived, and the impact of habitat suitability on different aspects of the eastern African MSA lithic record. We apply random forests, a powerful and highly flexible machine-learning tool for niche modelling, in combination with palaeoclimatic simulations at high temporal resolution. Topographic factors, distance to water and net primary productivity are found to be the most important factors in predicting MSA site locations in eastern Africa, followed by a suite of precipitation and then temperature variables. We find that environmental suitability has a significant impact on overall assemblage composition, suggesting that populations occupying optimal and peripheral zones within the landscapes use distinct artefact types and reduction technologies. These include the use of burins, bifacially retouched tools and bipolar technology, which are more likely to occur in the most optimal areas. Core tools, Levallois point and blade technology, and denticulates are associated with more peripheral areas, and thus perhaps could be associated with adapations to riskier ecosystems.
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