Understanding large‐scale, complex, human–environmental processes: a framework for social–ecological observatories
Abstract
There is a growing consensus that transdisciplinary environmental networks are required to generate knowledge of the dynamics of coupled human–natural systems ( CHAN s) and to assess societal and policy consequences of complex environmental issues. Few of the existing large environmental observatory networks collect much, if any, data on the CHAN s coupling mechanisms, reaffirming the need to develop observing approaches and structures that address the interoperability of the diverse data being obtained from these systems. We review the characteristics of existing environmental observatories and similar initiatives used to monitor CHAN s, and identify opportunities for interoperability among them. From a synthesis of the characteristics of environmental networks representing a wide spectrum of research approaches and applications, a conceptual framework of a typical Social–Ecological Observatory ( SEO ) is presented to support long‐term, multi‐scaled CHAN s observations through a common set of principles for organizing the observatories. Finally, we identify three areas of emphasis where progress is needed to support the use and application of SEO s.
- Authors:
-
- Institute of Arctic and Alpine Research (INSTAAR) University of Colorado Boulder CO, Center for Resilient Communities University of Idaho Moscow ID
- Center for Resilient Communities University of Idaho Moscow ID
- Center for Resilient Communities University of Idaho Moscow ID, US Department of Homeland Security Washington DC
- Battelle–National Ecological Observatory Network, INSTAAR University of Colorado Boulder CO
- European Regional Center for Ecohydrology Uniwersytet Lodzki Lodz Poland
- Center for Resilient Communities University of Idaho Moscow ID, Intelligence Community Postdoctoral Research Fellowship Program University of Idaho Moscow ID
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1464342
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Frontiers in Ecology and the Environment
- Additional Journal Information:
- Journal Name: Frontiers in Ecology and the Environment Journal Volume: 16 Journal Issue: S1; Journal ID: ISSN 1540-9295
- Publisher:
- Wiley Blackwell (John Wiley & Sons)
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Bourgeron, Patrick, Kliskey, Andrew, Alessa, Lilian, Loescher, Henry, Krauze, Kinga, Virapongse, Arika, and Griffith, David L. Understanding large‐scale, complex, human–environmental processes: a framework for social–ecological observatories. United States: N. p., 2018.
Web. doi:10.1002/fee.1797.
Bourgeron, Patrick, Kliskey, Andrew, Alessa, Lilian, Loescher, Henry, Krauze, Kinga, Virapongse, Arika, & Griffith, David L. Understanding large‐scale, complex, human–environmental processes: a framework for social–ecological observatories. United States. https://doi.org/10.1002/fee.1797
Bourgeron, Patrick, Kliskey, Andrew, Alessa, Lilian, Loescher, Henry, Krauze, Kinga, Virapongse, Arika, and Griffith, David L. Mon .
"Understanding large‐scale, complex, human–environmental processes: a framework for social–ecological observatories". United States. https://doi.org/10.1002/fee.1797.
@article{osti_1464342,
title = {Understanding large‐scale, complex, human–environmental processes: a framework for social–ecological observatories},
author = {Bourgeron, Patrick and Kliskey, Andrew and Alessa, Lilian and Loescher, Henry and Krauze, Kinga and Virapongse, Arika and Griffith, David L.},
abstractNote = {There is a growing consensus that transdisciplinary environmental networks are required to generate knowledge of the dynamics of coupled human–natural systems ( CHAN s) and to assess societal and policy consequences of complex environmental issues. Few of the existing large environmental observatory networks collect much, if any, data on the CHAN s coupling mechanisms, reaffirming the need to develop observing approaches and structures that address the interoperability of the diverse data being obtained from these systems. We review the characteristics of existing environmental observatories and similar initiatives used to monitor CHAN s, and identify opportunities for interoperability among them. From a synthesis of the characteristics of environmental networks representing a wide spectrum of research approaches and applications, a conceptual framework of a typical Social–Ecological Observatory ( SEO ) is presented to support long‐term, multi‐scaled CHAN s observations through a common set of principles for organizing the observatories. Finally, we identify three areas of emphasis where progress is needed to support the use and application of SEO s.},
doi = {10.1002/fee.1797},
journal = {Frontiers in Ecology and the Environment},
number = S1,
volume = 16,
place = {United States},
year = {Mon May 07 00:00:00 EDT 2018},
month = {Mon May 07 00:00:00 EDT 2018}
}
https://doi.org/10.1002/fee.1797
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