Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn Severity

This article belongs to the Special Issue Remote Sensing in Forest Fire Monitoring and Post-fire Damage Analysis

Detalles Bibliográficos
Autores: Fernández Guisuraga, José Manuel, Suárez Seoane, Susana, Quintano Pastor, Carmen, Fernández Manso, Alfonso, Calvo Galván, María Leonor
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Universidad de León
Repositorio:BULERIA. Repositorio Institucional de la Universidad de León
OAI Identifier:oai:buleria.unileon.es:10612/20288
Acceso en línea:https://www.mdpi.com/2072-4292/14/20/5138
https://hdl.handle.net/10612/20288
Access Level:acceso abierto
Palabra clave:Ecología. Medio ambiente
Ingeniería forestal
Fractional vegetation cover
MESMA
PROSAIL
Recovery
Sentinel-2
Wildfire
2417.13 Ecología Vegetal
2506.16 Teledetección (Geología)
3106.99 Otras (Incendios forestales)
3106.01 Conservación
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oai_identifier_str oai:buleria.unileon.es:10612/20288
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spelling Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn SeverityFernández Guisuraga, José ManuelSuárez Seoane, SusanaQuintano Pastor, CarmenFernández Manso, AlfonsoCalvo Galván, María LeonorEcología. Medio ambienteIngeniería forestalFractional vegetation coverMESMAPROSAILRecoverySentinel-2Wildfire2417.13 Ecología Vegetal2506.16 Teledetección (Geología)3106.99 Otras (Incendios forestales)3106.01 ConservaciónThis article belongs to the Special Issue Remote Sensing in Forest Fire Monitoring and Post-fire Damage Analysis[EN] We aimed to compare the potential of physical-based models (radiative transfer and pixel unmixing models) for evaluating the short-term resilience to fire of several shrubland communities as a function of their regenerative strategy and burn severity. The study site was located within the perimeter of a wildfire that occurred in summer 2017 in the northwestern Iberian Peninsula. A pre- and post-fire time series of Sentinel-2 satellite imagery was acquired to estimate fractional vegetation cover (FVC) from the (i) PROSAIL-D radiative transfer model inversion using the random forest algorithm, and (ii) multiple endmember spectral mixture analysis (MESMA). The FVC retrieval was validated throughout the time series by means of field data stratified by plant community type (i.e., regenerative strategy). The inversion of PROSAIL-D featured the highest overall fit for the entire time series (R2 > 0.75), followed by MESMA (R2 > 0.64). We estimated the resilience of shrubland communities in terms of FVC recovery using an impact-normalized resilience index and a linear model. High burn severity negatively influenced the short-term resilience of shrublands dominated by facultative seeder species. In contrast, shrublands dominated by resprouters reached pre-fire FVC values regardless of burn severitySIThis study was financially supported by the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund (ERDF), in the framework of the FIRESEVES (AGL2017-86075-C2-1-R) project; by the Regional Government of Castilla and León in the framework of the WUIFIRECYL (LE005P20) project; and by the British Ecological Society in the framework of the SR22-100154 project, where José Manuel Fernández-Guisuraga is the Principal Investigator. José Manuel Fernández-Guisuraga was supported by a Ramón Areces Foundation postdoctoral fellowshipMDPIEcologiaFacultad de Ciencias Biologicas y Ambientales2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://www.mdpi.com/2072-4292/14/20/5138https://hdl.handle.net/10612/20288reponame:BULERIA. Repositorio Institucional de la Universidad de Leóninstname:Universidad de LeónInglésinfo:eu-repo/grantAgreement/AEI/Programa Estatal de I+D+i Orientada a los Retos de la Sociedad/AGL2017-86075-C2-1-Rinfo:eu-repo/grantAgreement/Junta de Castilla y León//LE005P20http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:buleria.unileon.es:10612/202882026-06-24T12:43:27Z
dc.title.none.fl_str_mv Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn Severity
title Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn Severity
spellingShingle Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn Severity
Fernández Guisuraga, José Manuel
Ecología. Medio ambiente
Ingeniería forestal
Fractional vegetation cover
MESMA
PROSAIL
Recovery
Sentinel-2
Wildfire
2417.13 Ecología Vegetal
2506.16 Teledetección (Geología)
3106.99 Otras (Incendios forestales)
3106.01 Conservación
title_short Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn Severity
title_full Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn Severity
title_fullStr Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn Severity
title_full_unstemmed Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn Severity
title_sort Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn Severity
dc.creator.none.fl_str_mv Fernández Guisuraga, José Manuel
Suárez Seoane, Susana
Quintano Pastor, Carmen
Fernández Manso, Alfonso
Calvo Galván, María Leonor
author Fernández Guisuraga, José Manuel
author_facet Fernández Guisuraga, José Manuel
Suárez Seoane, Susana
Quintano Pastor, Carmen
Fernández Manso, Alfonso
Calvo Galván, María Leonor
author_role author
author2 Suárez Seoane, Susana
Quintano Pastor, Carmen
Fernández Manso, Alfonso
Calvo Galván, María Leonor
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Ecologia
Facultad de Ciencias Biologicas y Ambientales
dc.subject.none.fl_str_mv Ecología. Medio ambiente
Ingeniería forestal
Fractional vegetation cover
MESMA
PROSAIL
Recovery
Sentinel-2
Wildfire
2417.13 Ecología Vegetal
2506.16 Teledetección (Geología)
3106.99 Otras (Incendios forestales)
3106.01 Conservación
topic Ecología. Medio ambiente
Ingeniería forestal
Fractional vegetation cover
MESMA
PROSAIL
Recovery
Sentinel-2
Wildfire
2417.13 Ecología Vegetal
2506.16 Teledetección (Geología)
3106.99 Otras (Incendios forestales)
3106.01 Conservación
description This article belongs to the Special Issue Remote Sensing in Forest Fire Monitoring and Post-fire Damage Analysis
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://www.mdpi.com/2072-4292/14/20/5138
https://hdl.handle.net/10612/20288
url https://www.mdpi.com/2072-4292/14/20/5138
https://hdl.handle.net/10612/20288
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/AEI/Programa Estatal de I+D+i Orientada a los Retos de la Sociedad/AGL2017-86075-C2-1-R
info:eu-repo/grantAgreement/Junta de Castilla y León//LE005P20
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:BULERIA. Repositorio Institucional de la Universidad de León
instname:Universidad de León
instname_str Universidad de León
reponame_str BULERIA. Repositorio Institucional de la Universidad de León
collection BULERIA. Repositorio Institucional de la Universidad de León
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300724

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