Hydrological records can be used to reconstruct the resilience of watersheds to climatic extremes

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dc.contributor.authorHuffaker, Ray
dc.contributor.authorCampo-Bescós, Miguel
dc.contributor.authorLuquin Oroz, Eduardo Adrián
dc.contributor.authorCasalí Sarasíbar, Javier
dc.contributor.authorMuñoz Carpena, Rafael
dc.contributor.departmentInstitute on Innovation and Sustainable Development in Food Chain - ISFOODen
dc.date.accessioned2024-03-27T16:05:03Z
dc.date.available2024-03-27T16:05:03Z
dc.date.issued2024
dc.date.updated2024-03-27T15:41:44Z
dc.description.abstractHydrologic 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.sponsorshipAll 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.mimetypeapplication/pdfen
dc.identifier.citationHuffaker, 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.doi10.1038/s43247-023-01181-x
dc.identifier.issn2662-4435
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/47800
dc.language.isoengen
dc.publisherNature Researchen
dc.relation.ispartofCommunications Earth and Environment (2024), 5(19)en
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//CGL2015-64284-C2-1-R/ES/
dc.relation.publisherversionhttps://doi.org/10.1038/s43247-023-01181-x
dc.rights© 2024, The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectWatershed managementen
dc.subjectClimatic extremesen
dc.subjectHydrologic resilience modelingen
dc.titleHydrological records can be used to reconstruct the resilience of watersheds to climatic extremesen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublicatione9ca0d9f-24bc-4ce1-871f-81ce4e86b5bd
relation.isAuthorOfPublication6e29f80a-fafd-4ee6-9510-303991f10ea6
relation.isAuthorOfPublicatione3cfccd0-e410-4e7e-a9f6-c3825f946a14
relation.isAuthorOfPublication152af0c2-c115-4074-9715-fdf5f8fa6837
relation.isAuthorOfPublication.latestForDiscovery6e29f80a-fafd-4ee6-9510-303991f10ea6

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