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Integrating fast and slow processes is essential for simulating human–freshwater interactions

Integrated modeling is a critical tool to evaluate the behavior of coupled human–freshwater systems. However, models that do not consider both fast and slow processes may not accurately reflect the feedbacks that define complex systems. We evaluated current coupled human–freshwater system modeling a...

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Autores principales: Ward, Nicole K., Fitchett, Leah, Hart, Julia A., Shu, Lele, Stachelek, Jemma, Weng, Weizhe, Zhang, Yu, Dugan, Hilary, Hetherington, Amy, Boyle, Kevin, Carey, Cayelan C., Cobourn, Kelly M., Hanson, Paul C., Kemanian, Armen R., Sorice, Michael G., Weathers, Kathleen C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722150/
https://www.ncbi.nlm.nih.gov/pubmed/30569439
http://dx.doi.org/10.1007/s13280-018-1136-6
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author Ward, Nicole K.
Fitchett, Leah
Hart, Julia A.
Shu, Lele
Stachelek, Jemma
Weng, Weizhe
Zhang, Yu
Dugan, Hilary
Hetherington, Amy
Boyle, Kevin
Carey, Cayelan C.
Cobourn, Kelly M.
Hanson, Paul C.
Kemanian, Armen R.
Sorice, Michael G.
Weathers, Kathleen C.
author_facet Ward, Nicole K.
Fitchett, Leah
Hart, Julia A.
Shu, Lele
Stachelek, Jemma
Weng, Weizhe
Zhang, Yu
Dugan, Hilary
Hetherington, Amy
Boyle, Kevin
Carey, Cayelan C.
Cobourn, Kelly M.
Hanson, Paul C.
Kemanian, Armen R.
Sorice, Michael G.
Weathers, Kathleen C.
author_sort Ward, Nicole K.
collection PubMed
description Integrated modeling is a critical tool to evaluate the behavior of coupled human–freshwater systems. However, models that do not consider both fast and slow processes may not accurately reflect the feedbacks that define complex systems. We evaluated current coupled human–freshwater system modeling approaches in the literature with a focus on categorizing feedback loops as including economic and/or socio-cultural processes and identifying the simulation of fast and slow processes in human and biophysical systems. Fast human and fast biophysical processes are well represented in the literature, but very few studies incorporate slow human and slow biophysical system processes. Challenges in simulating coupled human–freshwater systems can be overcome by quantifying various monetary and non-monetary ecosystem values and by using data aggregation techniques. Studies that incorporate both fast and slow processes have the potential to improve complex system understanding and inform more sustainable decision-making that targets effective leverage points for system change. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13280-018-1136-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-67221502019-09-17 Integrating fast and slow processes is essential for simulating human–freshwater interactions Ward, Nicole K. Fitchett, Leah Hart, Julia A. Shu, Lele Stachelek, Jemma Weng, Weizhe Zhang, Yu Dugan, Hilary Hetherington, Amy Boyle, Kevin Carey, Cayelan C. Cobourn, Kelly M. Hanson, Paul C. Kemanian, Armen R. Sorice, Michael G. Weathers, Kathleen C. Ambio Perspective Integrated modeling is a critical tool to evaluate the behavior of coupled human–freshwater systems. However, models that do not consider both fast and slow processes may not accurately reflect the feedbacks that define complex systems. We evaluated current coupled human–freshwater system modeling approaches in the literature with a focus on categorizing feedback loops as including economic and/or socio-cultural processes and identifying the simulation of fast and slow processes in human and biophysical systems. Fast human and fast biophysical processes are well represented in the literature, but very few studies incorporate slow human and slow biophysical system processes. Challenges in simulating coupled human–freshwater systems can be overcome by quantifying various monetary and non-monetary ecosystem values and by using data aggregation techniques. Studies that incorporate both fast and slow processes have the potential to improve complex system understanding and inform more sustainable decision-making that targets effective leverage points for system change. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13280-018-1136-6) contains supplementary material, which is available to authorized users. Springer Netherlands 2018-12-19 2019-10 /pmc/articles/PMC6722150/ /pubmed/30569439 http://dx.doi.org/10.1007/s13280-018-1136-6 Text en © The Author(s) 2018 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Perspective
Ward, Nicole K.
Fitchett, Leah
Hart, Julia A.
Shu, Lele
Stachelek, Jemma
Weng, Weizhe
Zhang, Yu
Dugan, Hilary
Hetherington, Amy
Boyle, Kevin
Carey, Cayelan C.
Cobourn, Kelly M.
Hanson, Paul C.
Kemanian, Armen R.
Sorice, Michael G.
Weathers, Kathleen C.
Integrating fast and slow processes is essential for simulating human–freshwater interactions
title Integrating fast and slow processes is essential for simulating human–freshwater interactions
title_full Integrating fast and slow processes is essential for simulating human–freshwater interactions
title_fullStr Integrating fast and slow processes is essential for simulating human–freshwater interactions
title_full_unstemmed Integrating fast and slow processes is essential for simulating human–freshwater interactions
title_short Integrating fast and slow processes is essential for simulating human–freshwater interactions
title_sort integrating fast and slow processes is essential for simulating human–freshwater interactions
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722150/
https://www.ncbi.nlm.nih.gov/pubmed/30569439
http://dx.doi.org/10.1007/s13280-018-1136-6
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