647 research outputs found
Different mechanisms shaped the transition to farming in Europe and the North American Woodland
The introduction and emergence of agriculture into Eastern North America
(ENA) and Europe proceeded very differently in both subcontinents: it varied in
timing, speed, and mechanism. Common to both regions, agricultural subsistence
profited from the introduction of major staple crops which had been
domesticated elsewhere; in both regions, the temperate climate and originally
predominant forest vegetation provided an environmental context conducive to
agriculture. To understand the different paths to agricultural subsistence, an
integrated view of technological innovation, domestication and exchange of
domesticates, migration and trade is required within the constraints imposed by
the environmental context and geography. This study makes use of a numerical
model of regional socio-technological evolution which builds on adaptation of
important characteristics of prehistoric societies such as technology and
subsistence diversity. With this Global Land Use and Technological Evolution
Simulator (GLUES), regional transitions from foraging to agropastoralism, and
associated land use and demographic changes are realistically hindcasted. I
show that the model is capable of explaining the different timing, speed, and
transition mechanisms: Europe received a large package of foreign domesticates
and converted rapidly to agriculture, this fast transition can be best
explained with demic and cultural diffusion followed by fast adoption by
resident foragers. In contrast, ENA trajectories show a more gradual
transition. Hunting-gathering and agropastoral life style coexisted for a long
time and agriculture was adopted slowly into the existing subsistence scheme.Comment: Submitted to Archaeology, Ethnology and Anthropology of Eurasia, 9
pages, 6 figures, 1 tabl
The Diffusion of Humans and Cultures in the Course of the Spread of Farming
The most profound change in the relationship between humans and their
environment was the introduction of agriculture and pastoralism. [....] For an
understanding of the expansion process, it appears appropriate to apply a
diffusive model. Broadly, these numerical modeling approaches can be catego-
rized in correlative, continuous and discrete. Common to all approaches is the
comparison to collections of radiocarbon data that show the apparent wave of
advance of the transition to farming. However, these data sets differ in entry
density and data quality. Often they disregard local and regional specifics and
research gaps, or dating uncertainties. Thus, most of these data bases may only
be used on a very general, broad scale. One of the pitfalls of using
irregularly spaced or irregularly documented radiocarbon data becomes evident
from the map generated by Fort (this volume, Chapter 16): while the general
east-west and south-north trends become evident, some areas appear as having
undergone anomalously early transitions to farming. This may be due to faulty
entries into the data base or regional problems with radiocarbon dating, if not
unnoticed or undocumented laboratory mistakes.Comment: 20 pages, 5 figures, submitted to Diffusive Spreading in Nature,
Technology and Society, edited by Armin Bunde, J\"urgen Caro, J\"org
K\"arger, Gero Vogl, Chapter 1
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LADM for sustainable development:An exploratory study on the application of domain-specific data models to support the SDGs
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