Field observations and remote sensing techniques for evaluation of vegetal recovery after different wildfire severity in a Mediterranean ecosystem

SUMMARY: Many studies of Mediterranean ecosystems have analyzed vegetation recovery after a wildfire based on fieldwork or remote sensing; however, only a few have adopted a multi-approach assessment. The aim of this study is to determine the viability of a multi-approach using vegetation and remote...

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Autores principales:	Francos,Marcos, Lemus Canovas,Marc
Lenguaje:	English
Publicado:	Universidad Austral de Chile, Facultad de Ciencias Forestales 2021
Materias:	fire ecology Mediterranean forest remote sensing partial dependence wildfire severity
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002021000200245
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spelling	oai:scielo:S0717-920020210002002452021-10-08Field observations and remote sensing techniques for evaluation of vegetal recovery after different wildfire severity in a Mediterranean ecosystemFrancos,MarcosLemus Canovas,Marc fire ecology Mediterranean forest remote sensing partial dependence wildfire severity SUMMARY: Many studies of Mediterranean ecosystems have analyzed vegetation recovery after a wildfire based on fieldwork or remote sensing; however, only a few have adopted a multi-approach assessment. The aim of this study is to determine the viability of a multi-approach using vegetation and remote sensing to observe vegetation recovery time in areas with different wildfire severity. The study area is located in a Mediterranean forest of North-east Spain. After a wildfire, low-, medium- and high- severities with an unburned control were delimited and inventoried at short-, medium- and long-terms using a 20-m transect; measurements were taken in a 1-m width. In each area, vegetal richness (S), diversity (H') and density (D) were measured using fieldwork. The differenced Normalized Burnt Ratio (dNBR) and Mean Decrease Accuracy (%incMSE) were calculated and quantified. Both methods result to be accurate in studying plant density. The dNBR index decreases over time as an effect of the disappearance of fire disturbance. Topographic and vegetation variables help explain the fire severity at very-short and short-terms, while at medium- and long-terms any explanatory power is virtually lost. Partial dependence allowed us to identify those areas that suffered higher fire severity and vegetal evolution over time.info:eu-repo/semantics/openAccessUniversidad Austral de Chile, Facultad de Ciencias ForestalesBosque (Valdivia) v.42 n.2 20212021-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002021000200245en10.4067/S0717-92002021000200245
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	fire ecology Mediterranean forest remote sensing partial dependence wildfire severity
spellingShingle	fire ecology Mediterranean forest remote sensing partial dependence wildfire severity Francos,Marcos Lemus Canovas,Marc Field observations and remote sensing techniques for evaluation of vegetal recovery after different wildfire severity in a Mediterranean ecosystem
description	SUMMARY: Many studies of Mediterranean ecosystems have analyzed vegetation recovery after a wildfire based on fieldwork or remote sensing; however, only a few have adopted a multi-approach assessment. The aim of this study is to determine the viability of a multi-approach using vegetation and remote sensing to observe vegetation recovery time in areas with different wildfire severity. The study area is located in a Mediterranean forest of North-east Spain. After a wildfire, low-, medium- and high- severities with an unburned control were delimited and inventoried at short-, medium- and long-terms using a 20-m transect; measurements were taken in a 1-m width. In each area, vegetal richness (S), diversity (H') and density (D) were measured using fieldwork. The differenced Normalized Burnt Ratio (dNBR) and Mean Decrease Accuracy (%incMSE) were calculated and quantified. Both methods result to be accurate in studying plant density. The dNBR index decreases over time as an effect of the disappearance of fire disturbance. Topographic and vegetation variables help explain the fire severity at very-short and short-terms, while at medium- and long-terms any explanatory power is virtually lost. Partial dependence allowed us to identify those areas that suffered higher fire severity and vegetal evolution over time.
author	Francos,Marcos Lemus Canovas,Marc
author_facet	Francos,Marcos Lemus Canovas,Marc
author_sort	Francos,Marcos
title	Field observations and remote sensing techniques for evaluation of vegetal recovery after different wildfire severity in a Mediterranean ecosystem
title_short	Field observations and remote sensing techniques for evaluation of vegetal recovery after different wildfire severity in a Mediterranean ecosystem
title_full	Field observations and remote sensing techniques for evaluation of vegetal recovery after different wildfire severity in a Mediterranean ecosystem
title_fullStr	Field observations and remote sensing techniques for evaluation of vegetal recovery after different wildfire severity in a Mediterranean ecosystem
title_full_unstemmed	Field observations and remote sensing techniques for evaluation of vegetal recovery after different wildfire severity in a Mediterranean ecosystem
title_sort	field observations and remote sensing techniques for evaluation of vegetal recovery after different wildfire severity in a mediterranean ecosystem
publisher	Universidad Austral de Chile, Facultad de Ciencias Forestales
publishDate	2021
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002021000200245
work_keys_str_mv	AT francosmarcos fieldobservationsandremotesensingtechniquesforevaluationofvegetalrecoveryafterdifferentwildfireseverityinamediterraneanecosystem AT lemuscanovasmarc fieldobservationsandremotesensingtechniquesforevaluationofvegetalrecoveryafterdifferentwildfireseverityinamediterraneanecosystem
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Field observations and remote sensing techniques for evaluation of vegetal recovery after different wildfire severity in a Mediterranean ecosystem

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