Authors: Freeman, Jacob; Morrison, Kathleen D.; Hammer, Emily; Boles, Oliver; Madella, Marco; Whitehouse, Nicola; Gaillard, Marie-Jose; Bates, Jennifer; Vander Linden, Marc; Merlo, Stefania; Yao, Alice; Popova, Laura; Hill, Austin Chad; Antolin, Ferran; Bauer, Andrew; Biagetti, Stefano; Bishop, Rosie R.; Buckland, Phillip; Cruz, Pablo; Dreslerová, Dagmar; Dusseldorp, Gerrit; Ellis, Erle; Filipovic, Dragana; Foster, Thomas; Hannaford, Matthew J.; Harrison, Sandy P.; Hazarika, Manjil; Herold, Hajnalka; Hilpert, Johanna; Kaplan, Jed O.; Kay, Andrea; Klein Goldewijk, Kees; Kolář, Jan; Kyazike, Elizabeth; Laabs, Julian; Lancelotti, Carla; Lane, Paul; Lawrence, Dan; Lewis, Krista; Lombardo, Umberto; Lucarini, Giulio; Arroyo-Kalin, Manuel; Marchant, Rob; Mayle, Francis; McClatchie, Meriel; McLeester, Madeleine; Mooney, Scott; Moskal-del Hoyo, Magdalena; Navarrete, Vanessa; Ndiema, Emmanuel; Góes Neves, Eduardo; Nowak, Marek; Out, Welmoed A.; Petrie, Cameron; Phelps, Leanne N.; Pinke, Zsolt; Rostain, Stéphen; Russell, Thembi; Sluyter, Andrew; Styring, Amy K.; Tamanaha, Eduardo; Thomas, Evert; Veerasamy, Selvakumar; Welton, Lynn; Zanon, Marco
Venue: PLOS ONE
Type: Publication
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 represent...
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Impact:
5.724485E-8
4.7650945E-9
73
56
/ Attention:
0
63
Topics: 
Environmental resource management
Data science
Database
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