Transforming landscapes
Modeling land-use patterns of environmental borderlands
Dados Bibliográficos
| ID | 12265394 |
|---|---|
| Autores | Daniel Knitter (0000-0003-3014-4497, Christian-Albrechts-Universität zu Kiel, autor correspondente), Jan Piet Brozio (0000-0001-6437-0949, Christian-Albrechts-Universität zu Kiel), Walter Dörfler (0000-0001-6251-7185, Christian-Albrechts-Universität zu Kiel), Rainer Duttmann (0000-0001-5606-2938, Christian-Albrechts-Universität zu Kiel), Ingo Feeser (0000-0002-9618-5139, Christian-Albrechts-Universität zu Kiel), Wolfgang Hamer (0000-0002-5943-5020, Christian-Albrechts-Universität zu Kiel), Wiebke Kirleis (0000-0003-0229-8958, Christian-Albrechts-Universität zu Kiel), Johannes Müller (0000-0002-3538-197X, Christian-Albrechts-Universität zu Kiel), Oliver Nakoinz (0000-0003-2113-0157, Christian-Albrechts-Universität zu Kiel) |
| Ano | 2019 |
| Volume | 29 |
| Fascículo | 10 |
| Páginas | 1572-1586 |
| Data de publicação | 2019-06-24 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | The Holocene (JOURNAL) |
| Identificadores do periódico | ISSN: 0959-6836 • E-ISSN: 1477-0911 |
| Editora | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/0959683619857233 |
| OpenAlex | W2954892207 |
| Idioma | EN |
| Citações recebidas | 7 |
| Referências citadas | 53 |
How did socio-cultural transformation processes change land-use patterns? Throughout the last 50 years, outstanding comprehensive geographic, archaeobiological, and archaeological data have been produced for the area of Oldenburger Graben, Schleswig-Holstein, Germany. Based on this exceptional data set, we are able to study the land-use patterns for a period ranging from the Final Mesolithic until the Late Neolithic (4600–1700 BCE). By application of fuzzy modeling techniques, these patterns are investigated diachronically in order to assess the scale of transformations between the different archaeological phases. Based on nutrient requirements and proposed dietary composition estimates derived from empirical archaeobotanical, archaeozoological, and stable isotope data, the required extent of the areas for different land-use practices are modeled. This information is made spatially explicit using a fuzzy model that reconstructs areas of potential vegetation and land-use for each transformation phase. Pollen data are used to validate the type and extent of land-use categories. The model results are used to test hypotheses on the dynamics of socio-cultural transformations: can we observe a diversification of land-use patterns over time or does continuity of land-use practices prevail? By integrating the different lines of evidence within a spatially explicit modeling approach, we reach a new quality of data analysis with a high degree of contextualization. This allows testing of hypotheses about Neolithic transformation processes by an explicit adjustment of our model assumptions, variables, and parameters
Archaeology · Geography · Land use · Mesolithic · Physical geography · Archaeology and ancient environmental studies · Isotope Analysis in Ecology · Land Use and Ecosystem Services · Ecology
Unbowed
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Pollen‐based quantitative reconstructions of Holocene regional vegetation cover (plant‐functional types and land‐cover types) in Europe suitable for climate modelling
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The Oxford Handbook of Neolithic Europe
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Quantitative approximation to large-seeded wild fruit use in a late Neolithic lake dwelling
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Theory of quantitative reconstruction of vegetation I
The extended downscaling approach
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Regional climate change and the onset of farming in northern Germany and southern Scandinavia
Fifteen years of the Forchtenberg experiment—results and implications for the understanding of Neolithic land use
Neolithic cultivation of tetraploid free threshing wheat in Denmark and Northern Germany
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Step by step – The neolithisation of Northern Central Europe in the light of stable isotope analyses
A Middle Neolithic well from Northern Germany
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Køkkenmøddinger’ (Shell Middens) in Denmark
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Kossinna's smile
| Obras citantes distintas | 7 |
|---|---|
| Citações por ano | 1 |
| Intervalo de citações | 2019 - 2027 (9) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 5 |