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In the 12,000 years preceding the Industrial Revolution, human activities led to significant changes in land cover, plant and animal distributions, surface hydrology, and biochemical cycles. Earth system models suggest that this anthropogenic land cover change influenced regional and global climate. However, the representation of past land use in earth system models is currently oversimplified. As a result, there are large uncertainties in the current understanding of the past and current state of the earth system. In order to improve representation of the variety and scale of impacts that past land use had on the earth system, a global effort is underway to aggregate and synthesize archaeological and historical evidence of land use systems. Here we present a simple, hierarchical classification of land use systems designed to be used with archaeological and historical data at a global scale and a schema of codes that identify land use practices common to a range of systems, both implemented in a geospatial database. The classification scheme and database resulted from an extensive process of consultation with researchers worldwide. Our scheme is designed to deliver consistent, empirically robust data for the improvement of land use models, while simultaneously allowing for a comparative, detailed mapping of land use relevant to the needs of historical scholars. To illustrate the benefits of the classification scheme and methods for mapping historical land use, we apply it to Mesopotamia and Arabia at 6 kya (c. 4000 BCE). The scheme will be used to describe land use by the Past Global Changes (PAGES) LandCover6k working group, an international project comprised of archaeologists, historians, geographers, paleoecologists, and modelers. Beyond this, the scheme has a wide utility for creating a common language between research and policy communities, linking archaeologists with climate modelers, biodiversity conservation workers and initiatives., Competing Interests: The authors have declared that no competing interests exist.

This study resumes our research into variations in settlement patterns from the Neolithic to the Migration Period (5600 BC–570 AD). After using a large dataset of less precisely localized finds from the Czech Republic, we now examine data from large-scale surface surveys. The higher spatial precision allows us to analyse settlement activities in terms of quantity, size, duration, continuity, stability and degree of complexity. First, we analysed the data using descriptive methods regarding its spatial structure, dating and environmental setting. We assessed the possibility of integrating data from surface and subsurface research. In the second stage, we reconstructed possible configurations of habitation areas and their adjacent primary production areas (settlement cores) and chronologically ordered the finds using algorithmic modelling. A more detailed phasing transcending the chronological resolution of the data was achieved by using mutual spatial exclusion of settlement cores as a chronological marker. The resulting ordering was then analysed using probabilistic methods. The results portray the intensity of settlement activities during various periods as well as changes in their structural organization. The observed patterns suggest higher-order social organization starting in the Early Bronze Age, culminating in the Final Bronze Age followed by a gradual decline. In later periods, we observe hot spots in the landscape with stable habitation over hundreds of years. The method used is widely applicable for all periods of agricultural prehistory regardless of region. Original data and an example implementation of the method are available as supplementary material and online at https://github.com/demjanp/chrono_spatial_modelling. [ABSTRACT FROM AUTHOR]

We analyse variations in prehistoric agricultural settlement behaviour both in space and time to detect main turning points and shifts in settlement patterns in Bohemia, western Czech Republic. We propose a theoretical framework to address our research question and a new evidence density estimation (EDE) method combining and extending existing approaches to produce probabilistic maps and temporal frequency distribution (TFD) curves. This method takes into account heterogeneous spatial and temporal accuracy of archaeological data, and it models settlement structure where respective sites have a specific area and a given interval of duration. We determined minimal sampling densities of archaeological data enabling the method to predict prehistoric settlement at a statistically significant level. The EDE method is universally applicable for all datasets with sampling densities of more than 0.05 archaeological actions per km 2 for chrono-typologically dated evidence and 0.035 actions per km 2 for radiocarbon or similar dates. The results show that changes in spatial extent, density and clustering of settlement activities occur repeatedly throughout the whole agricultural prehistory and shed new light on settlement behaviour of past populations. [ABSTRACT FROM AUTHOR]

Copyright of Archeologické Rozhledy is the property of Academy of Sciences of the Czech Republic, Institute of Archaeology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Archeologické Rozhledy is the property of Academy of Sciences of the Czech Republic, Institute of Archaeology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Památky Archeologické is the property of Academy of Sciences of the Czech Republic, Institute of Archaeology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Památky Archeologické is the property of Academy of Sciences of the Czech Republic, Institute of Archaeology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)