RT info:eu-repo/semantics/article
T1 Modelling the vertical distribution of canopy fuel load using national forest inventory and low-density airbone laser scanning data
A1 González Ferreiro, Eduardo Manuel
A1 Arellano Pérez, Stéfano
A1 Castedo Dorado, Fernando
A1 Hevia, Andrea
A1 Vega, José Antonio
A1 Vega Nieva, Daniel José
A1 Álvarez González, Juan Gabriel
A1 Ruiz González, Ana Daría
A2 Ingenieria Agroforestal
K1 Ingeniería forestal
K1 Modelling
K1 Canopy fuel load
K1 National forest inventory
K1 Low-density airbone laser
AB [EN] The fuel complex variables canopy bulk density and canopy base height are often used to predict crown fire initiation and spread. Direct measurement of these variables is impractical, and they are usually estimated indirectly by modelling. Recent advances in predicting crown fire behaviour require accurate estimates of the complete vertical distribution of canopy fuels. The objectives of the present study were to model the vertical profile of available canopy fuel in pine stands by using data from the Spanish national forest inventory plus lowdensity airborne laser scanning (ALS) metrics. In a first step, the vertical distribution of the canopy fuel load was modelled using the Weibull probability density function. In a second step, two different systems of models were fitted to estimate the canopy variables defining the vertical distributions; the first system related these variables to stand variables obtained in a field inventory, and the second system related the canopy variables to airborne laser scanning metrics. The models of each system were fitted simultaneously to compensate the effects of the inherent cross-model correlation between the canopy variables. Heteroscedasticity was also analyzed, but no correction in the fitting process was necessary. The estimated canopy fuel load profiles from field variables explained 84% and 86% of the variation in canopy fuel load for maritime pine and radiata pine respectively; whereas the estimated canopy fuel load profiles from ALS metrics explained 52% and 49% of the variation for the same species. The proposed models can be used to assess the effectiveness of different forest management alternatives for reducing crown fire hazard
PB Public Library of Science
LK https://hdl.handle.net/10612/18831
UL https://hdl.handle.net/10612/18831
NO González-Ferreiro, E., Arellano-Pérez, S., Castedo-Dorado, F., Hevia, A., Antonio Vega, J., Vega-Nieva, D., Álvarez-González, J. G., & Ruiz-González, A. D. (2017). Modelling the vertical distribution of canopy fuel load using national forest inventory and low-density airbone laser scanning data. PLoS ONE, 12(4). https://doi.org/10.1371/JOURNAL.PONE.0176114
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 14-jun-2024