Mapping past human land use using archaeological data: A new classification for global land use synthesis and data harmonization

Kathleen D. Morrison, Emily Hammer*, Oliver Boles, Marco Madella, Nicola Whitehouse, Marie Jose Gaillard, Jennifer Bates, Marc Vander Linden, Stefania Merlo, Alice Yao, Laura Popova, Austin Chad Hill, Ferran Antolin, Andrew Bauer, Stefano Biagetti, Rosie R. Bishop, Phillip Buckland, Pablo Cruz, Dagmar Dreslerová, Gerrit DusseldorpErle Ellis, Dragana Filipovic, Thomas Foster, Matthew J. Hannaford, Sandy P. Harrison, Manjil Hazarika, Hajnalka Herold, Johanna Hilpert, Jed O. Kaplan, Andrea Kay, Kees Klein Goldewijk, Jan Kolár, Elizabeth Kyazike, Julian Laabs, Carla Lancelotti, Paul Lane, Dan Lawrence, Krista Lewis, Umberto Lombardo, Giulio Lucarini, Manuel Arroyo-Kalin, Rob Marchant, Francis Mayle, Meriel McClatchie, Madeleine McLeester, Scott Mooney, Magdalena Moskal-Del Hoyo, Vanessa Navarrete, Emmanuel Ndiema, Eduardo Góes Neves

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

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.

Original languageEnglish
Article numbere0246662
Number of pages38
JournalPLoS One
Volume16
Issue number4
DOIs
Publication statusPublished - 14 Apr 2021

Bibliographical note

Publisher Copyright:
© 2021 Morrison et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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