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

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....

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8046197/
https://www.ncbi.nlm.nih.gov/pubmed/33852578
http://dx.doi.org/10.1371/journal.pone.0246662
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author 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
author_facet 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
author_sort Morrison, Kathleen D.
collection PubMed
description 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.
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spelling pubmed-80461972021-04-21 Mapping past human land use using archaeological data: A new classification for global land use synthesis and data harmonization 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 PLoS One Research Article 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. Public Library of Science 2021-04-14 /pmc/articles/PMC8046197/ /pubmed/33852578 http://dx.doi.org/10.1371/journal.pone.0246662 Text en © 2021 Morrison et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
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
Mapping past human land use using archaeological data: A new classification for global land use synthesis and data harmonization
title Mapping past human land use using archaeological data: A new classification for global land use synthesis and data harmonization
title_full Mapping past human land use using archaeological data: A new classification for global land use synthesis and data harmonization
title_fullStr Mapping past human land use using archaeological data: A new classification for global land use synthesis and data harmonization
title_full_unstemmed Mapping past human land use using archaeological data: A new classification for global land use synthesis and data harmonization
title_short Mapping past human land use using archaeological data: A new classification for global land use synthesis and data harmonization
title_sort mapping past human land use using archaeological data: a new classification for global land use synthesis and data harmonization
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8046197/
https://www.ncbi.nlm.nih.gov/pubmed/33852578
http://dx.doi.org/10.1371/journal.pone.0246662
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