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To improve climate models, an international team turns to archaeological data

April 14, 2021
University of Pennsylvania
To improve climate models, an international team turned to archaeological data. The resulting classification from the project, called LandCover6k, offers a tool the researchers hope might generate better predictions about the planet's future and fill in gaps about its past.

Climate modeling is future facing, its general intent to hypothesize what our planet might look like at some later date. Because the Earth's vegetation influences climate, climate models frequently include vegetation reconstructions and are often validated by comparisons to the past. Yet such models tend to get oversimplified, glossing over or omitting how people affected the land and its cover.

The absence of such data led to LandCover6k, a project now in its sixth year that includes more than 200 archaeologists, historians, geographers, paleoecologists, and climate modelers around the world.

Led by archeologists Kathleen Morrison of the University of Pennsylvania, Marco Madella of the Universitat Pompeu Fabra, and Nicki Whitehouse of the University of Glasgow, with data expertise from Penn landscape archaeologist Emily Hammer and others, LandCover6k's goal is to aggregate archaeological and historical evidence of land-use systems from four slices of time -- 12,000 years ago, 6,000 years ago, 4,000 years ago, and around the year 1500 -- into a single database that anyone can comprehend and use.

The project offers what the researchers hope will become a tool to improve predictions about the planet's future, plus fill in gaps about its past. "Understanding the human impact on the Earth is more than looking at past vegetation. It's also important to understand how humans used the land and in particular, the relationship between human land use and vegetation," Morrison says.

Though current Earth system models suggest that human activity during the past 12,000 years influenced regional and global climate, Madella says, "the models do not capture the diversity and intensity of human activities that affected past land cover, nor do they capture carbon and water cycles."

Archaeology provides important information around land use that "helps reveal how humans have affected past land cover at a global scale," adds Whitehouse, "including the crops and animals being farmed, how they were being farmed, and how much land was needed to feed growing populations."

In a new PLOS ONE paper, the team provides a detailed introduction to LandCover6k's land-use classification system and global database.

Creating a common language, system

To share such data meant first creating a common language that scientists across disciplines could understand. It's a task more fraught than it might sound, Morrison says. "Classification means putting hard edges on something. That's very challenging, as archaeologists are often much more comfortable with narrative."

Partially because of a lack of shared terminology, archaeologists have not tried to aggregate and compare data on a global scale, something the project's paleoecologists and modelers had already been doing, she adds. "We spent years consulting with colleagues around the world, discussing all the different types of land use and developing a communication system -- the same language, the same terminology -- that could be used anywhere."

Because such categories historically have had different meaning depending on place, context, and time period, some archaeologists initially balked at committing to single definitions for each. Hammer offers the concept of "farming" as an example. "The line between what is called 'farming' and what is considered small-scale food production by hunter-gatherers really varies across the world," she says. So, how could the field fairly judge when the actions of hunter-gatherers managing wild plant and animal resources became "farming"?

Questions like these prompted the LandCover6k team to create a hierarchy within the classification system, with an upper-level category capturing an idea at its broadest and several distinct sub-categories funneling down from there. In the farming example, the research team created a sub-group -- low-level food production -- which could include the work of the hunter-gatherers. The hope was to offer enough nuance for the archeological community yet still make the data accessible to climate modelers.

In addition to this flexible hierarchy and the uniform terminology, the final classification has three other principal features. It is scale- and source-independent, meaning it accounts for the myriad ways something can be studied. It "takes the perspective of land rather than people," as the researchers write in PLOS ONE, and it employs a consistent 8x8 kilometer grid scale. "That's quite large, from an archaeological perspective," Hammer says, "but we did that so that one person isn't drawing something very small and another person very large."

Concrete examples

To showcase how the classification works, the researchers offer the example of the Middle East 6,000 years ago. This region, the area represented by modern day Iraq, Syria, Jordan, Kuwait, Saudi Arabia, Qatar, Bahrain, the United Arab Emirates, Oman, and Yemen, was home to some of the earliest agriculture in the world. Using the new classification and database, project participants built a regional land-use map, despite data availability differing from one spot to the next.

"Mesopotamia has been studied since the mid-19th century so there's a lot of data and a lot of syntheses to rely on," Hammer explains. "Arabia has not been nearly as well-studied. There are only a couple of data points, particularly for this period, and because of climatic events, the data are even rarer than for other periods. We wanted to illustrate the approach you would take in a situation where you have a lot of data versus a place with just a little." The new map of Middle Eastern land is proof of concept for the project, showing the contrast between the settled farms of Mesopotamia and the more sparsely settled lands of Arabia.

The researchers don't see information gaps, like those of Arabia, as problematic. Rather because the land-use database also records data coverage and quality, it can highlight areas needing more research. "Humans have transformed landscapes for thousands of years," Morrison says. "But we can't just say that. We have to demonstrate it."

And that's just what LandCover6k aims to do, merging what archaeologists have gleaned about human land use from different times and places into a single, accessible database for climate modelers -- and each other. "This project is really about translating what we do," Hammer says, "not only about the standardization of the terminology so we can talk at a global scale, but also about weaving together the narratives of the past."

Story Source:

Materials provided by University of Pennsylvania. Original written by Michele W. Berger. Note: Content may be edited for style and length.

Journal Reference:

  1. 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 Dusseldorp, Erle 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 Kolář, 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, Marek Nowak, Welmoed A. Out, Cameron Petrie, Leanne N. Phelps, Zsolt Pinke, Stéphen Rostain, Thembi Russell, Andrew Sluyter, Amy K. Styring, Eduardo Tamanaha, Evert Thomas, Selvakumar Veerasamy, Lynn Welton, Marco Zanon. Mapping past human land use using archaeological data: A new classification for global land use synthesis and data harmonization. PLOS ONE, 2021; 16 (4): e0246662 DOI: 10.1371/journal.pone.0246662

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University of Pennsylvania. "To improve climate models, an international team turns to archaeological data." ScienceDaily. ScienceDaily, 14 April 2021. <>.
University of Pennsylvania. (2021, April 14). To improve climate models, an international team turns to archaeological data. ScienceDaily. Retrieved July 24, 2024 from
University of Pennsylvania. "To improve climate models, an international team turns to archaeological data." ScienceDaily. (accessed July 24, 2024).

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