Modelling canopy fuel variables in Pinus pinaster Ait. and Pinus radiata D. Don stands in northwestern Spain

Gómez-Vázquez, Ibán; Crecente-Campo, Felipe; Diéguez-Aranda, Ulises; Castedo‐Dorado, Fernando

doi:10.1007/s13595-012-0245-9

Cited by 23 publications

(16 citation statements)

References 21 publications

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“…Raymond and Peterson 2005;Stephens and Moghaddas 2005;Kobziar et al 2009;Battaglia et al 2010). Canopy fuel load and bulk density values in UT and treated stands before thinning plus mastication are consistent with those observed in other maritime pine stands in NW Spain (Jiménez et al 2013;Fernández-Alonso et al 2013;Gómez-Vázquez et al 2013).…”

Section: Canopy Fuel Load and Canopy Bulk Densitysupporting

confidence: 84%

“…The crown base is relatively low, and the litter and needles are very flammable (Madrigal et al 2012). Moreover, the species has historically been managed to maximize biomass production or to protect degraded soils, resulting in very dense stands (Gómez-Vázquez et al 2013), highly susceptible to crown fire remarkably contributing to greenhouse effect gases emissions in Spain (Jiménez et al 2013). In fact, an area of about 102,117 ha of maritime pine was burned by wildfires in Spain between 2001 and 2010, representing 27 % of total area of burnt forest land, (MAGRAMA 2012).…”

Section: Introductionmentioning

confidence: 99%

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Midterm fuel structure recovery and potential fire behaviour in a Pinus pinaster Ait. forest in northern central Spain after thinning and mastication

Jiménez

Vega-Nieva

Rey³

et al. 2016

Eur J Forest Res

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Pinus pinaster Ait., a prominent component of the western Mediterranean forest, is a species currently suffering a high wildfire pressure and consequently becoming a prime candidate for fuel reduction treatments. However, little is known about the efficiency and longevity of modification of the fuel complex structure for fire hazard reduction treatments in this type of forest. We examined how different levels of intense thinning plus mastication altered canopy and undercanopy fuel structure in a representative forest stand in northern central Spain and its recovery for the next 5 years. We also evaluated the midterm effect on potential fire behaviour. Five years after treatments, canopy bulk density and canopy fuel load were still significantly lower than in untreated areas. After that time, understory cover and height and available undercanopy fuel load had still not reached values similar to those in untreated areas, although undercanopy available fuel complex had similar bulk density to that in untreated areas. The treatments were efficient in reducing the crown fire susceptibility in the study period, and even 5 years after treatments modelled active crown fire did not occur in treated areas.

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Section: Canopy Fuel Load and Canopy Bulk Densitysupporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Midterm fuel structure recovery and potential fire behaviour in a Pinus pinaster Ait. forest in northern central Spain after thinning and mastication

Jiménez

Vega-Nieva

Rey³

et al. 2016

Eur J Forest Res

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“…The values of the canopy variables were calculated by using the equations developed by Gómez-Vázquez et al (2013) for this species in Galicia (the closest Spanish region to Asturias) since they are the more complete equations developed for canopy fuel variables estimation for this species in the Spanish Atlantic region. Table 2).…”

Section: Estimation Of Canopy Fuel Variables From Field Datamentioning

confidence: 99%

“…However, fire is the most significant threat to maritime pine and also a disturbance that plays a vital role in the perpetuation of natural stands (Fernandes and Rigolot, 2007). Particularly in the Atlantic area of NW Spain, wildland fires have been described as the most destructive type of forest disturbance (Gómez-Vázquez et al, 2013). The initiation and wildfire behavior, as well as it severity in maritime pine in this area, result from the combination of factors such as climate (Fernandes and Rigolot, 2007), human activities (Fernandes et al, 2013), the afforestation of communal lands in the 20 th century in a context of increasing depopulation and poor management (Rego, 1992), and the fact that fuels in this area can build-up to levels which are probably unequalled by pine stands in temperate climates elsewhere (Vega, 2001).…”

Section: Introductionmentioning

confidence: 99%

Estimación de variables de combustible de copa y de masa, caracterizando el efecto de las claras en su estructura usando LiDAR aerotransportado

et al. 2016

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Forest fires are a major threat in NW Spain. The importance and frequency of these events in the area suggests the need for fuel management programs to reduce the spread and severity of forest fires. Thinning treatments can contribute for fire risk reduction, because they cut off the horizontal continuity of forest fuels. Besides, it is necessary to conduct a fire risk management based on the knowledge of fuel allocation, since fire behaviour and fire spread study is dependent on the spatial factor. Therefore, mapping fuel for different silvicultural scenarios is essential. Modelling forest variables and forest structure parameters from LiDAR technology is the starting point for developing spatiallyexplicit maps. This is essential in the generation of fuel maps since field measurements of canopy fuel variables is not feasible. In the present study, we evaluated the potential of LiDAR technology to estimate canopy fuel variables and other stand variables, as well as to identify structural differences between silvicultural managed and unmanaged P. pinaster Ait. stands. Independent variables (LiDAR metrics) of greater explanatory significance were identified and regression analyses indicated strong relationships between those and field-derived variables (R 2 varied between 0.86 and 0.97). Significant differences were found in some LiDAR metrics when compared thinned and unthinned stands. Results showed that LiDAR technology allows to model canopy fuel and stand variables with high precision in this species, and provides useful information for identifying areas with and without silvicultural management.Key words: Pinus pinaster, Airborne Laser Scanning (ALS), fuel management, canopy fuel load, canopy bulk density, canopy base height. Estimación de variables de combustible de copa y de masa, caracterizando el efecto de las claras en su estructura usando LiDAR aerotransportadoResumen: Los incendios forestales suponen una gran amenaza en el NO de España. La importancia y frecuencia de estos eventos en la zona sugiere la necesidad de programas de gestión del combustible para reducir la propagación y severidad de los incendios. La realización de una selvicultura de claras puede contribuir a la reducción del riesgo de incendio, ya que ocasiona una ruptura de la continuidad horizontal del combustible forestal. Además, es necesario realizar una gestión del riesgo de incendio basada en el conocimiento de la localización del combustible sobre el

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“…The explanatory variables included in the models were tree variables measured in the National Forest Inventory (dbh and tree height). The allometric models by the following authors were used for the different species: Jiménez et al 2013and Gómez-Vázquez et al (2013), for Pinus pinaster; Balboa-Murias et al 2006, for Pinus radiata; Brañas et al (2000) for Eucalyptus globulus; and Pérez-Cruzado & Rodríguez-Soalleiro (2011) for Eucalyptus nitens. For other tree species inside the plots, we used the model by Balboa-Murias (2005) for Quercus robur and those reported by Montero et al (2005) for other species.…”

Section: Iforest -Biogeosciences and Forestrymentioning

confidence: 99%

Estimation of aboveground forest biomass in Galicia (NW Spain) by the combined use of LiDAR, LANDSAT ETM+ and National Forest Inventory data

Jiménez¹,

Vega²,

Fernández-Alonso³

et al. 2017

iForest

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Assessing biomass is critical for accounting bioenergy potentials and monitoring forest ecosystem responses to global change and disturbances. Remote sensing, especially Light Detection and Ranging (LiDAR) data combined with field data, is being increasingly used for forest inventory purposes. We evaluated the feasibility of the combined use of freely available data, both remote sensing (LiDAR data provided by the Spanish National Plan for Aerial Ortophotography-PNOA-and Landsat vegetation spectral indices) and field data (from the National Forest Inventory) to estimate stand dendrometric and aboveground biomass variables of the most productive tree species in a pilot area in Galicia (northwestern Spain). The results suggest that the models can accurately predict dendrometric and biomass variables at plot level with an R 2 ranging from 0.49 to 0.65 for basal area, from 0.65 to 0.95 for dominant height, from 0.48 to 0.68 for crown biomass and from 0.55 to 0.82 for stem biomass. Our results support the use of this approach to reduce the cost of forest inventories and provide a useful tool for stakeholders to map forest stand variables and biomass stocks.

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Modelling canopy fuel variables in Pinus pinaster Ait. and Pinus radiata D. Don stands in northwestern Spain

Abstract: International audienc

Cited by 23 publications

References 21 publications

Midterm fuel structure recovery and potential fire behaviour in a Pinus pinaster Ait. forest in northern central Spain after thinning and mastication

Midterm fuel structure recovery and potential fire behaviour in a Pinus pinaster Ait. forest in northern central Spain after thinning and mastication

Estimación de variables de combustible de copa y de masa, caracterizando el efecto de las claras en su estructura usando LiDAR aerotransportado

Estimation of aboveground forest biomass in Galicia (NW Spain) by the combined use of LiDAR, LANDSAT ETM+ and National Forest Inventory data

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