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Examining Social Adaptations in a Volatile Landscape in Northern Mongolia via the Agent-Based Model Ger Grouper

机译:通过基于Agent的模型Ger Grouper研究蒙古北部动荡地区的社会适应

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The environment of the mountain-steppe-taiga of northern Mongolia is often characterized as marginal because of the high altitude, highly variable precipitation levels, low winter temperatures, and periodic droughts coupled with severe winter storms (known as dzuds). Despite these conditions, herders have inhabited this landscape for thousands of years, and hunter-gatherer-fishers before that. One way in which the risks associated with such a challenging and variable landscape are mitigated is through social networks and inter-family cooperation. We present an agent-based simulation, Ger Grouper, to examine how households have mitigated these risks through cooperation. The Ger Grouper simulation takes into account locational decisions of households, looks at fission/fusion dynamics of households and how those relate to environmental pressures, and assesses how degrees of relatedness can influence sharing of resources during harsh winters. This model, coupled with the traditional archaeological and ethnographic methods, helps shed light on the links between early Mongolian pastoralist adaptations and the environment. While preliminary results are promising, it is hoped that further development of this model will be able to characterize changing land-use patterns as social and political networks developed.
机译:由于海拔高,降水量高度变化,冬季温度低,周期性干旱以及严峻的冬季风暴(称为dzuds),蒙古北部的草原-taiga地区的环境通常被认为是边缘环境。尽管有这些条件,牧民已经在这片土地上栖息了数千年,在此之前,猎人-捕捞者-渔民就居住在这里。缓解与如此富挑战性和多变的格局相关的风险的一种方法是通过社交网络和家庭之间的合作。我们提出了一个基于代理的模拟程序Ger Grouper,以研究家庭如何通过合作减轻这些风险。 Ger Grouper模拟考虑了家庭的位置决策,研究了家庭的裂变/融合动态及其与环境压力的关系,并评估了相关程度如何在严冬期间影响资源共享。这种模式,再加上传统的考古学和人种学方法,有助于阐明蒙古早期牧民适应与环境之间的联系。尽管初步结果令人鼓舞,但希望随着社会和政治网络的发展,该模型的进一步发展将能够表征不断变化的土地利用方式。

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