Authors: Kathleen D. Morrison, Emily Hammer, Oliver Boles, Marco Madella, Nicola Whitehouse, Marie-José Gaillard, Jennifer Bates, Marc Vander Linden, Stefania Merlo, Alice Yao, Laura Popova, Austin Chad Hill, Ferran Antolín, Andrew M. Bauer, Stefano Biagetti, Rosie R. Bishop, Phillip Buckland, Pablo Cruz, Dagmar Dreslerová, Gerrit L. Dusseldorp, Erle C. Ellis, Dragana Filipović, 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 E. 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 Styring, Eduardo Kazuo Tamanaha, Evert Thomas, Selvakumar Veerasamy, Lynn Welton, Marco Zanon
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...
(read more)
Topics: 
Environmental resource management
Data science
Earth science
Loading (it may take a couple of seconds)...
Loading (it may take a couple of seconds)...