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 |
| Sumario: | 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. |
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