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Challenges and opportunities for modeling coupled human and natural systems
With the growing recognition of coupled human and natural systems (CHANS), modeling CHANS with two-way feedbacks has become a frontier research area and a critical tool to achieve sustainability. The challenges in CHANS modeling and opportunities to advance its science and application to promote the...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232039/ https://www.ncbi.nlm.nih.gov/pubmed/37266552 http://dx.doi.org/10.1093/nsr/nwad054 |
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author | Li, Yan Sang, Shan Mote, Safa Rivas, Jorge Kalnay, Eugenia |
author_facet | Li, Yan Sang, Shan Mote, Safa Rivas, Jorge Kalnay, Eugenia |
author_sort | Li, Yan |
collection | PubMed |
description | With the growing recognition of coupled human and natural systems (CHANS), modeling CHANS with two-way feedbacks has become a frontier research area and a critical tool to achieve sustainability. The challenges in CHANS modeling and opportunities to advance its science and application to promote the sustainability of CHANS are discussed in this paper. |
format | Online Article Text |
id | pubmed-10232039 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-102320392023-06-01 Challenges and opportunities for modeling coupled human and natural systems Li, Yan Sang, Shan Mote, Safa Rivas, Jorge Kalnay, Eugenia Natl Sci Rev PERSPECTIVE With the growing recognition of coupled human and natural systems (CHANS), modeling CHANS with two-way feedbacks has become a frontier research area and a critical tool to achieve sustainability. The challenges in CHANS modeling and opportunities to advance its science and application to promote the sustainability of CHANS are discussed in this paper. Oxford University Press 2023-03-07 /pmc/articles/PMC10232039/ /pubmed/37266552 http://dx.doi.org/10.1093/nsr/nwad054 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | PERSPECTIVE Li, Yan Sang, Shan Mote, Safa Rivas, Jorge Kalnay, Eugenia Challenges and opportunities for modeling coupled human and natural systems |
title | Challenges and opportunities for modeling coupled human and natural systems |
title_full | Challenges and opportunities for modeling coupled human and natural systems |
title_fullStr | Challenges and opportunities for modeling coupled human and natural systems |
title_full_unstemmed | Challenges and opportunities for modeling coupled human and natural systems |
title_short | Challenges and opportunities for modeling coupled human and natural systems |
title_sort | challenges and opportunities for modeling coupled human and natural systems |
topic | PERSPECTIVE |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232039/ https://www.ncbi.nlm.nih.gov/pubmed/37266552 http://dx.doi.org/10.1093/nsr/nwad054 |
work_keys_str_mv | AT liyan challengesandopportunitiesformodelingcoupledhumanandnaturalsystems AT sangshan challengesandopportunitiesformodelingcoupledhumanandnaturalsystems AT motesafa challengesandopportunitiesformodelingcoupledhumanandnaturalsystems AT rivasjorge challengesandopportunitiesformodelingcoupledhumanandnaturalsystems AT kalnayeugenia challengesandopportunitiesformodelingcoupledhumanandnaturalsystems |