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Modeling multivariate landscape affordances and functional ecosystem connectivity in landscape archeology
Archaeological and Anthropological Sciences ( IF 2.1 ) Pub Date : 2020-07-07 , DOI: 10.1007/s12520-020-01127-w
Michael Kempf

Quantitative, digital statistics, and spatial analysis have proven to be useful tools in landscape archeological research. Herein, GIS-based data storage, manipulation, and visualization of environmental attributes and archeological records are among the most intensely applied methods to evaluate human-landscape interaction, movement patterns, and spatial behavior of past societies. Recent land use management and land cover change, however, have largely altered and modified present-day landscapes, which decreases the potential replicability of modern surface conditions to past ecosystem functionalities and the individual human landscape affordances. This article presents a comprehensive multivariate environmental analysis from a regional case study in the Upper Rhine Valley and exemplifies the bias of the archeological record based on modern land use, built-up, and surface change. Two major conclusions can be drawn: modern surfaces are the result of long-term past human landscape development, and the archeological data inherent in the landscape is strongly biased by modern human activity ranges, urban, agricultural and infrastructural development, and the configuration and perception of recent surface management.

中文翻译:

在景观考古学中对多元景观能力和功能性生态系统连通性进行建模

定量,数字统计和空间分析已被证明是景观考古研究的有用工具。本文中,基于GIS的数据存储,操作以及环境属性和考古记录的可视化是评估过去人类社会与人类景观互动,运动模式和空间行为的最广泛应用的方法之一。但是,最近的土地利用管理和土地覆被变化已经极大地改变和修改了当今的景观,这降低了现代地表条件对过去的生态系统功能和人类个人景观能力的潜在可复制性。本文从上莱茵河谷地区的案例研究中提供了全面的多元环境分析,并举例说明了基于现代土地利用,建筑和地表变化的考古记录偏差。可以得出两个主要结论:现代表面是人类过去长期景观发展的结果,景观固有的考古数据受到现代人类活动范围,城市,农业和基础设施发展以及构造和感知的强烈偏见。最近的表面管理。
更新日期:2020-07-07
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