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转型的尺度——瑞士巴塞尔晚期古代和中世纪时期的定居点和土地利用动态建模。

Scales of transformations-Modelling settlement and land-use dynamics in late antique and early medieval Basel, Switzerland.

机构信息

Department of Geography, Physical Geography-Landscape Ecology and Geoinformation, University of Kiel, Kiel, Germany.

CRC1266-Scales of Transformation, Project A2 'Integrative Modelling of Socio-Environmental Dynamics', University of Kiel, Kiel, Germany.

出版信息

PLoS One. 2023 Feb 1;18(2):e0280321. doi: 10.1371/journal.pone.0280321. eCollection 2023.

Abstract

Multicomponent environmental models have increasingly found their way into archaeological research. Mostly, these models aim to understand human patterns as a result of past climatic and environmental conditions over long-term periods. However, major limitations are the low spatial and temporal resolution of the environmental data, and hence the rather static model output. Particular challenges are thus the number of chosen variables, the comprehensiveness of the explanatory parameters, and the integration of socio-cultural decision-making into the model. Here, we present a novel approach to generate annually resolved landcover variability using a broad variety of climatic, geological, hydrological, topographical, and dendrochronological data composites (Palmer Drought Severity Index (PDSI)). We analyze land-use and settlement capacity and vulnerability to estimate the socio-cultural transformation processes at Basel (Switzerland) during the Late Antiquity and the Early Middle Ages. Our results highlight the potential of the PDSI to predict local river run-off behavior from catchment analyses. The model enables to trace landcover as well as socio-cultural response to climatic variability and subsequent adaptation to trends in environmental vulnerability. This approach further helps to understand population dynamics in the periphery of the Roman administrative boundaries and to revise traditional archaeological narratives of large-scale population replacements during the so-called Migration Period.

摘要

多组分环境模型越来越多地应用于考古研究。这些模型主要旨在理解过去长期气候和环境条件对人类模式的影响。然而,主要的限制因素是环境数据的空间和时间分辨率较低,因此模型输出往往是静态的。特别的挑战在于选择变量的数量、解释参数的全面性,以及将社会文化决策纳入模型。在这里,我们提出了一种新的方法,利用各种气候、地质、水文、地形和树木年代学数据组合(帕尔默干旱严重指数(PDSI))来生成每年分辨率的土地覆盖变化。我们分析了土地利用和定居能力以及易损性,以评估瑞士巴塞尔在晚期古代和早期中世纪的社会文化转型过程。我们的结果强调了 PDSI 预测集水区分析中局部河流径流行为的潜力。该模型能够追踪土地覆盖以及对气候变异性的社会文化响应,以及随后对环境脆弱性趋势的适应。这种方法还有助于理解罗马行政边界边缘的人口动态,并修正传统考古学对所谓的迁徙时期大规模人口更替的叙述。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f73/9891536/08df9f1f2bec/pone.0280321.g001.jpg

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