An operational method for mapping the composition of post-fire litter

Primer Autor
Galleguillos, Mauricio
Co-autores
Tolorza, Violeta
Poblete-Caballero, Dagoberto
Banda, David
Little, Christian
Leal, Claudia
Título
An operational method for mapping the composition of post-fire litter
Editorial
TAYLOR & FRANCIS LTD
Revista
REMOTE SENSING LETTERS
Lenguaje
en
Resumen
Recent increase in the frequency and spatial extent of wildfires motivates the quick recognition of the affected soil properties over large areas. Digital Soil Mapping is a valuable approach to map soil attributes based on remote sensing and field observations. We predicted the spatial distribution of post-fire litter composition in a 40,600 ha basin burned on the 2017 wildfire of Chile. Remotely sensed data of topography, vegetation structure and spectral indices (SI) were used as predictors of random forest (RF) models. Litter sampled in 60 hillslopes after the fire provided training and validation data. Predictors selected by the Variable Selection Using Random Forests (VSURF) algorithm resulted in models for litter composition with acceptable accuracy (coefficient of determination, R (2) = 0.51-0.64, Normalized Root Mean Square Error, NRMSE = 16.9-22.1, percentage bias, pbias = -0.35%-0.5%). Modelled litter parameters decrease in concentration respect to the degree of burn severity, and the pre-fire biomass. Because pre-fire vegetation was conditioned by land cover and by a previous (2 years old) wildfire event, our results highlight the cumulative effect of severe wildfires in the depletion of litter composition.
Tipo de Recurso
artículo original
Description
This work was supported by the FONDECYT [11190864], FONDAP [15110009], Universidad de La Frontera [VRIP20P001].
Este trabajo fue apoyado por la Fundación [11190864], FONDAP[15110009], Universidad De La Frontera [VRIP20P001].
This work was supported by the FONDECYT [11190864]; FONDAP [15110009]; Universidad de La Frontera [VRIP20P001].
Este trabajo fue apoyado por la Fundación [11190864]; FONDAP[15110009]; Universidad De La Frontera [VRIP20P001].
doi
10.1080/2150704X.2022.2040752
Formato Recurso
PDF
Palabras Claves
SOIL
CHILE
BIODIVERSITY
WILDFIRE
IMPACTS
Ubicación del archivo
http://dx.doi.org/10.1080/2150704X.2022.2040752
Categoría OCDE
Sensores remotos
Ciencia de la imagen y tecnología fotográfica
Materias
SUELO
CHILE
BIODIVERSIDAD
INCENDIOS FORESTALES
IMPACTOS
Disciplinas de la OCDE
Ciencias del suelo
Silvicultura
Sensores Remotos
Título de la cita (Recomendado-único)
An operational method for mapping the composition of post-fire litter
Página de inicio (Recomendado-único)
511
Página final (Recomendado-único)
521
Identificador del recurso (Mandatado-único)
artículo original
Versión del recurso (Recomendado-único)
version publicada
Condición de la licencia (Recomendado-repetible)
0
Derechos de acceso
metadata
Access Rights
metadata
Referencia del Financiador (Mandatado si es aplicable-repetible)
ANID-FONDECYT 11190864
ANID-FONDAP 15110009
UFRO VRIP20P001
ANID FONDECYT 11190864
ANID FONDAP 15110009
Id de Web of Science
WOS:000763106200001
Colecciones
Colección Publicaciones Científicas
Colección ANID
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