Comparing modeled soil temperature and moisture dynamics during prescribed fires, slash-pile burns and wildfires
Background: Wildfires, prescribed fires and slash-pile burns are disturbances that occur in many terrestrial ecosystems. Such fires produce variable surface heat fluxes causing a spectrum of effects on soil, such as seed mortality, nutrient loss, changes in microbial activity and water repellency. A...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/390328 |
| Acceso en línea: | http://hdl.handle.net/10261/390328 https://api.elsevier.com/content/abstract/scopus_id/105002662935 |
| Access Level: | acceso abierto |
| Palabra clave: | Duff Fire intensity First Order Fire Effects Mode FOFEM Heat-Moisture-Vapor (HMV) model Moisture dynamics Soil heating Soil temperature Surface fire Validation |
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Comparing modeled soil temperature and moisture dynamics during prescribed fires, slash-pile burns and wildfiresRobichaud, Peter R.Massman, William J.Bova, AnthonyGirona-García, AntonioAlfaro-Leranoz, AndoniGibson, Nancy E.DuffFire intensityFirst Order Fire Effects ModeFOFEMHeat-Moisture-Vapor (HMV) modelMoisture dynamicsSoil heatingSoil temperatureSurface fireValidationBackground: Wildfires, prescribed fires and slash-pile burns are disturbances that occur in many terrestrial ecosystems. Such fires produce variable surface heat fluxes causing a spectrum of effects on soil, such as seed mortality, nutrient loss, changes in microbial activity and water repellency. Accurately modeling soil heating is vital to predicting these second-order fire effects. The process-based Massman HMV (Heat-Moisture-Vapor) model incorporates soil water evaporation, heat transport and water vapor movement, and captures the observed rapid evaporation of soil moisture. Aims: Improve the Massman HMV model and compare it with Campbell soil heating model using four independent soil temperature datasets collected during burning. Methods: The models were evaluated using similar BFD curves against observed temperature and soil moisture using standard statistical methods. Key results: Results suggest reasonable agreement between the Massman HMV model and field soil temperature data under various burn scenarios and it was consistently more accurate than the Campbell model. Conclusions: The Massman HMV model improved soil heating predictions and provided soil moisture predictions. Implications: The Massman HMV model was incorporated in the First Order Fire Effects Model (FOFEM ver. 6.7) with a user-friendly interface that allows managers to assess the heating impacts of fire on soil temperature and moisture.Funding for this project was provided in part by USDA Forest Service Rocky Mountain Research Station, and the US Department of Interior USDA Forest Service Joint Fire Science Program (15-1-05-11). A G-G is funded by a ‘Ramón y Cajal’ fellowship (RYC2021-031262-I) and the EROS INK project (PID2023-146991NA-100) from the Ministry of Science, Innovation and Universities (Spanish Government). A A-L is funded by a DGA predoctoral research grant (BOA20200713012) financed by the Government of Aragón, Spain.Peer reviewedCSIRO PublishingUS Forest ServiceMinisterio de Ciencia, Innovación y Universidades (España)Gobierno de AragónRobichaud, Peter R. [0000-0002-2902-2401]Girona-García, Antonio [0000-0001-7003-8950]Alfaro-Leranoz, Andoni [0000-0003-0004-4196]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252025info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/390328https://api.elsevier.com/content/abstract/scopus_id/105002662935reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2023-146991NA-I00The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI https://doi.org/10.1071/WF22082https://doi.org/10.1071/WF22082Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3903282026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Comparing modeled soil temperature and moisture dynamics during prescribed fires, slash-pile burns and wildfires |
| title |
Comparing modeled soil temperature and moisture dynamics during prescribed fires, slash-pile burns and wildfires |
| spellingShingle |
Comparing modeled soil temperature and moisture dynamics during prescribed fires, slash-pile burns and wildfires Robichaud, Peter R. Duff Fire intensity First Order Fire Effects Mode FOFEM Heat-Moisture-Vapor (HMV) model Moisture dynamics Soil heating Soil temperature Surface fire Validation |
| title_short |
Comparing modeled soil temperature and moisture dynamics during prescribed fires, slash-pile burns and wildfires |
| title_full |
Comparing modeled soil temperature and moisture dynamics during prescribed fires, slash-pile burns and wildfires |
| title_fullStr |
Comparing modeled soil temperature and moisture dynamics during prescribed fires, slash-pile burns and wildfires |
| title_full_unstemmed |
Comparing modeled soil temperature and moisture dynamics during prescribed fires, slash-pile burns and wildfires |
| title_sort |
Comparing modeled soil temperature and moisture dynamics during prescribed fires, slash-pile burns and wildfires |
| dc.creator.none.fl_str_mv |
Robichaud, Peter R. Massman, William J. Bova, Anthony Girona-García, Antonio Alfaro-Leranoz, Andoni Gibson, Nancy E. |
| author |
Robichaud, Peter R. |
| author_facet |
Robichaud, Peter R. Massman, William J. Bova, Anthony Girona-García, Antonio Alfaro-Leranoz, Andoni Gibson, Nancy E. |
| author_role |
author |
| author2 |
Massman, William J. Bova, Anthony Girona-García, Antonio Alfaro-Leranoz, Andoni Gibson, Nancy E. |
| author2_role |
author author author author author |
| dc.contributor.none.fl_str_mv |
US Forest Service Ministerio de Ciencia, Innovación y Universidades (España) Gobierno de Aragón Robichaud, Peter R. [0000-0002-2902-2401] Girona-García, Antonio [0000-0001-7003-8950] Alfaro-Leranoz, Andoni [0000-0003-0004-4196] Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Duff Fire intensity First Order Fire Effects Mode FOFEM Heat-Moisture-Vapor (HMV) model Moisture dynamics Soil heating Soil temperature Surface fire Validation |
| topic |
Duff Fire intensity First Order Fire Effects Mode FOFEM Heat-Moisture-Vapor (HMV) model Moisture dynamics Soil heating Soil temperature Surface fire Validation |
| description |
Background: Wildfires, prescribed fires and slash-pile burns are disturbances that occur in many terrestrial ecosystems. Such fires produce variable surface heat fluxes causing a spectrum of effects on soil, such as seed mortality, nutrient loss, changes in microbial activity and water repellency. Accurately modeling soil heating is vital to predicting these second-order fire effects. The process-based Massman HMV (Heat-Moisture-Vapor) model incorporates soil water evaporation, heat transport and water vapor movement, and captures the observed rapid evaporation of soil moisture. Aims: Improve the Massman HMV model and compare it with Campbell soil heating model using four independent soil temperature datasets collected during burning. Methods: The models were evaluated using similar BFD curves against observed temperature and soil moisture using standard statistical methods. Key results: Results suggest reasonable agreement between the Massman HMV model and field soil temperature data under various burn scenarios and it was consistently more accurate than the Campbell model. Conclusions: The Massman HMV model improved soil heating predictions and provided soil moisture predictions. Implications: The Massman HMV model was incorporated in the First Order Fire Effects Model (FOFEM ver. 6.7) with a user-friendly interface that allows managers to assess the heating impacts of fire on soil temperature and moisture. |
| publishDate |
2025 |
| dc.date.none.fl_str_mv |
2025 2025 2025 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/390328 https://api.elsevier.com/content/abstract/scopus_id/105002662935 |
| url |
http://hdl.handle.net/10261/390328 https://api.elsevier.com/content/abstract/scopus_id/105002662935 |
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Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
#PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2023-146991NA-I00 The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI https://doi.org/10.1071/WF22082 https://doi.org/10.1071/WF22082 Sí |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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CSIRO Publishing |
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CSIRO Publishing |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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