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Hydrological records can be used to reconstruct the resilience of watersheds to climatic extremes
dc.creator | Huffaker, Ray | es_ES |
dc.creator | Campo-Bescós | es_ES |
dc.creator | Luquin Oroz, Eduardo Adrián | es_ES |
dc.creator | Casalí Sarasíbar, Javier | es_ES |
dc.creator | Muñoz Carpena, Rafael | es_ES |
dc.date.accessioned | 2024-03-27T16:05:03Z | |
dc.date.available | 2024-03-27T16:05:03Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Huffaker, R., Campo-Bescós, M. Á., Luquin, E., Casalí Sarasibar, J., Muñoz-Carpena, R. (2024) Hydrological records can be used to reconstruct the resilience of watersheds to climatic extremes. Communications Earth and Environment, 5(19), 1-13. https://doi.org/10.1038/s43247-023-01181-x. | en |
dc.identifier.issn | 2662-4435 | |
dc.identifier.uri | https://hdl.handle.net/2454/47800 | |
dc.description.abstract | Hydrologic resilience modeling is used in public watershed management to assess watershed ability to supply life-supporting ecoservices under extreme climatic and environmental conditions. Literature surveys criticize resilience models for failing to capture watershed dynamics and undergo adequate testing. Both shortcomings compromise their ability to provide management options reliably protecting water security under real-world conditions. We formulate an empirical protocol to establish real-world correspondence. The protocol applies empirical nonlinear dynamics to reconstruct hydrologic dynamics from watershed records, and analyze the response of reconstructed dynamics to extreme regional climatic conditions. We devise an AI-based early-warning system to forecast (out-of-sample) reconstructed hydrologic resilience dynamics. Application to the La Tejería (Spain) experimental watershed finds it to be a low dimensional nonlinear deterministic dynamic system responding to internal stressors by irregularly oscillating along a watershed attractor. Reconstructed and forecasted hydrologic resilience behavior faithfully captures monthly wet-cold/dry-warm weather patterns characterizing the Mediterranean region. | en |
dc.description.sponsorship | All authors acknowledge funding from the Ministerio de Economía y Competitividad (Government of Spain) via the Research Project CGL2015-64284-C2-1-R. R.H. acknowledges support from USDA-NIFA (FLA-ABE-005414). R.H. and R.M.-C. acknowledge support from the University of Florida Artificial Intelligence Research Catalyst Fund. | en |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | en |
dc.publisher | Nature Research | en |
dc.relation.ispartof | Communications Earth and Environment (2024), 5(19) | en |
dc.rights | © 2024, The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License. | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Watershed management | en |
dc.subject | Climatic extremes | en |
dc.subject | Hydrologic resilience modeling | en |
dc.title | Hydrological records can be used to reconstruct the resilience of watersheds to climatic extremes | en |
dc.type | Artículo / Artikulua | es |
dc.type | info:eu-repo/semantics/article | en |
dc.date.updated | 2024-03-27T15:41:44Z | |
dc.contributor.department | Institute on Innovation and Sustainable Development in Food Chain - ISFOOD | en |
dc.rights.accessRights | Acceso abierto / Sarbide irekia | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | en |
dc.identifier.doi | 10.1038/s43247-023-01181-x | |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//CGL2015-64284-C2-1-R/ES/ | en |
dc.relation.publisherversion | https://doi.org/10.1038/s43247-023-01181-x | |
dc.type.version | Versión publicada / Argitaratu den bertsioa | es |
dc.type.version | info:eu-repo/semantics/publishedVersion | en |