Articles | Volume 9, issue 2
https://doi.org/10.5194/esd-9-895-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/esd-9-895-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Modelling feedbacks between human and natural processes in the land system
Department of Geography and Environmental Management, University of Waterloo, Waterloo, Ontario, Canada
Alan Di Vittorio
Climate and Environmental Sciences Department, Lawrence Berkley National Laboratory, Berkeley, California, USA
Peter Alexander
School of Geosciences, University of Edinburgh, Drummond Street, Edinburgh, EH8 9XP, UK
Land Economy and Environment Research, SRUC, West Mains Road, Edinburgh, EH9 3JG, UK
Almut Arneth
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research – Atmospheric Environmental Research (IMK-IFU), Garmisch-Partenkirchen, Germany
C. Michael Barton
School of Human Evolution & Social Change and Center for Social Dynamics and Complexity, Arizona State University, Tempe, Arizona, USA
Daniel G. Brown
School of Environmental and Forest Sciences, University of Washington, Seattle, Washington, USA
Albert Kettner
Dartmouth Flood Observatory, Community Surface Dynamics Modeling System, Institute of Arctic and Alpine Research, University of Colorado, Boulder, Colorado, USA
Carsten Lemmen
Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Geesthacht, Germany
Brian C. O'Neill
National Center for Atmospheric Research, Boulder, Colorado, USA
Marco Janssen
School of Sustainability, Arizona State University, Tempe, Arizona, USA
Thomas A. M. Pugh
School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK
Birmingham Institute of Forest Research, University of Birmingham, Birmingham, UK
Sam S. Rabin
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research – Atmospheric Environmental Research (IMK-IFU), Garmisch-Partenkirchen, Germany
Mark Rounsevell
School of Geosciences, University of Edinburgh, Drummond Street, Edinburgh, EH8 9XP, UK
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research – Atmospheric Environmental Research (IMK-IFU), Garmisch-Partenkirchen, Germany
James P. Syvitski
Community Surface Dynamics Modeling System, University of Colorado, Boulder, Colorado, USA
Isaac Ullah
Department of Anthropology, San Diego State University, San Diego, California, USA
Peter H. Verburg
Environmental Geography Group, Institute for Environmental Studies, VU University Amsterdam, Amsterdam, the Netherlands
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Discussed (final revised paper)
Latest update: 05 Oct 2024
Short summary
Understanding the complexity behind the rapid use of Earth’s resources requires modelling approaches that couple human and natural systems. We propose a framework that comprises the configuration, frequency of interaction, and coordination of communication between models along with eight lessons as guidelines to increase the success of coupled human–natural systems modelling initiatives. We also suggest a way to expedite model coupling and increase the longevity and interoperability of models.
Understanding the complexity behind the rapid use of Earth’s resources requires modelling...
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