irritation 发表于 2025-3-26 23:27:59

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Chameleon 发表于 2025-3-27 04:07:29

nding from the Danube River in the North to Lake Constance in the south and centered on the Federsee Bog and Lake as well as two smaller bogs to the south. The project was designed to explore the landscape through first mapping the distribution of all previously known sites in the region, and then a

蹒跚 发表于 2025-3-27 09:08:04

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myopia 发表于 2025-3-27 09:40:38

Cunning-folk in Modern Ireland,ns less favourable for their establishment than those on Lake Constance. This type of settlement is probably linked to the important hunting potential of the basin as well as the pivotal situation of Lake Federsee, located between the Upper Danube and the Schussen valley leading to Lake Constance. B

engrossed 发表于 2025-3-27 16:45:01

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疾驰 发表于 2025-3-27 19:20:56

https://doi.org/10.1007/978-3-031-49699-8Examining long-term records of human activity; Humans producing cultural landscapes; Social and ecolog

TRACE 发表于 2025-3-28 00:30:17

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遵循的规范 发表于 2025-3-28 03:36:59

Cultural Landscapes and Long-Term Human Ecology, work inspired robust research programs examining long-term cultural change in its environmental context. As illustrated by the chapters in this volume, ecological approaches outlined by Jochim persist as a dominant paradigm in archaeology, and lead to nuanced explanations of behavior across time an

短程旅游 发表于 2025-3-28 09:00:29

Models, Foragers, Human Beings, and a Hunter-Gatherer Career,iversity of approaches to this topic at the time he entered the field and discusses the approach to foraging that has become dominant since the 1980s. I argue that Mike’s work differs from this dominant approach in important ways, anticipates underappreciated issues that are increasingly salient out

Cpr951 发表于 2025-3-28 13:49:31

Defining and Modeling the Dimensions of Settlement Choice: An Empirical Approach,cally originate from explicit or implicit theoretical notions, this approach self-selects those variables most relevant to observed settlement distributions. Through a principal components transformation, the variables are linearly combined into distinct independent dimensions that minimize the loca
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