Collaborative Research: Bronze and Iron Age prehistory on the margins of the Eurasian Steppe: Modeling Interactions between Climate and Ancient Herders and Farmers

在国家科学基金会的支持下，Irina Panyushkina博士和Claudia Chang博士将进行研究，研究中亚的气候，景观和史前社会如何相互作用。该项目涉及考古学、树木年代学、古气候学、孢粉学、生态学和水文地质学领域的专家合作者和伙伴关系，以研究哈萨克斯坦南部2000年史前时期的气候变化和社会变革。这项研究将产生新的基于实地的数据集，用于模拟草原平原和森林山区的人口动态、土地利用模式。其目的是确定人类对从青铜时代中期到青铜时代晚期（约100年）过渡时期开始的气候和环境变化的反应。公元前1600年至公元前900年）和铁器时代（约。公元前800年至公元500年）。这项研究很重要，因为它将测试气候变化对欧亚大草原古代社会和文化的直接影响。它将拓宽人们对气候-人类相互作用性质的认识，这种相互作用影响了后来文明的社会演变，并导致了现代世界的发展。塞米雷奇耶（咸海盆地的山区）的考古数据表明，在青铜时代晚期，分散的小规模移动的牧民占据了重要牧场和水资源附近的高地山谷和山区。后来，在公元前一千年，这些边缘高地地区形成了两种不同类型的定居点：较大的、聚集的农牧人口，他们利用冲积扇的肥沃可耕地;较小的、分散的游牧人口，他们迁移到高海拔地区。按ca.公元100年，村庄的人口密度和储存能力与世界其他地区的早期定居农业村庄相当。铁器时代遗址的数量在公元200年后明显减少，这可能是由于向外移民或冲突的结果。这项研究将把考古数据集与复杂的气候变化重建联系起来。这些综合数据将为了解古代人口对气候和环境变化的适应性反应提供重要见解。这个多学科项目包括：（1）考古调查和现场测试;（2）使用磁力计进行地球物理定居调查;（3）C14摆动匹配和树轮测年;（4）根据树轮和花粉代用品以及相应的冰芯进行多尺度气候和环境重建。收集的证据将用于估计气候变化对该地区人口规模和景观生产力的影响。此外，它还将记录铁器时代社会中导致可能的环境压力的社会和经济因素，如水源，木材燃料和土壤肥力的枯竭。更广泛的影响包括：1）研究生在管理和解释大型复杂数据集方面的领域和最先进的培训，以及2）美国，英国，哈萨克斯坦，德国，匈牙利和俄罗斯的考古和环境科学界之间的强有力的国际合作。

With National Science Foundation support, Drs. Irina Panyushkina and Claudia Chang will conduct research to examine how climate, landscapes and prehistoric societies have interacted in Central Asia. This project involves expert collaborators and partnerships in the fields of archaeology, dendrochronology, paleoclimatology, palynology, ecology and hydrogeology in order to examine past climate changes and social transformations throughout a 2000-year prehistory of southern Kazakhstan. The research will generate new field-based datasets for modeling population dynamics, land use patterns in the grassland plains and forested mountains. The goal is to determine human response to climatic and environmental changes beginning at the transition from the Middle Bronze Age to the Late Bronze Age (ca. 1600 to 900 BC) and through the Iron Age (ca. 800 BC to AD 500). The research is important because it will test the direct impact of climate change on ancient societies and cultures of the Eurasian Steppe. It will broaden perspectives on the nature of climate-human interactions which influenced the social evolution of the subsequent civilizations and led to the development of the modern world. Archaeological data from Semirechye (the mountain zone of the Aral Basin) suggest that during the Late Bronze Age, small, dispersed populations of mobile pastoralists occupied the upland valleys and mountains near critical pasture and water resources. Later, in the first millennia BC, these marginal upland regions led to the formation of two distinct types of settlement: larger, aggregated populations of agro-pastoralists who utilized the fertile, arable land of alluvial fans and smaller, dispersed populations of transhumant pastoralists who relocated to high elevations. By ca. 100 AD, population density and storage capacity at villages was comparable to that of early sedentary farming villages in other world regions. A marked reduction in the number of Iron Age sites took place after AD 200 probably a result of out-migration or conflict. The research will interrelate the archaeological datasets with sophisticated reconstructions of climate variability. These integrated data shall provide key insights into the adaptive responses of ancient populations to climate and environmental changes. This multi-disciplinary project includes: (1) archaeological survey and site testing; (2) geophysical settlement surveys using a magnetometer; (3) C14 wiggle-match and tree-ring dating; (4) multi-scale climate and environment reconstructions from tree-ring and pollen proxies, and corresponding ice-cores. The assembled lines of evidence will be used to estimate the impact of climate change on population size and landscape productivity in this region. Furthermore, it will document the social and economic factors within Iron Age society that led to possible environmental stress such as the depletion of water sources, wood fuel and soil fertility. The broader impacts include 1) graduate students' field and state-of-art training in the management and interpretation of large and complex data sets, and 2) strong international collaborations between the archaeological and environmental science communities of US, UK, Kazakhstan, Germany, Hungary and Russia.