RT info:eu-repo/semantics/article
T1 Modelling fuel loads of understorey vegetation and forest floor components in pine stands in NW Spain
A1 Vega, José Antonio
A1 Arellano Pérez, Stéfano
A1 Álvarez González, Juan Gabriel
A1 Fernández Filgueira, Cristina
A1 Jímenez Carmona, Enrique
A1 Cuiñas Olmedo, Pedro
A1 Fernández Alonso, José María
A1 Vega Nieva, Daniel José
A1 Castedo Dorado, Fernando
A1 Alonso Rego, Cecilia
A1 Forturbel Lliteras, Teresa
A1 Ruiz González, Ana Daría
A2 Ingenieria Agroforestal
K1 Ingeniería forestal
K1 Area-based approach
K1 Additive equation systems
K1 Live and dead fine fuel
K1 Pinus pinaster
K1 Pinus radiata
K1 Pinus sylvestris
AB [EN] In this study, 310 destructively sampled plots were used to develop two equation systems for the three main pine species in NW Spain (P. pinaster; P. radiata and P. sylvestris): one for estimating loads of understorey fuel components by size and condition (live and dead) and another one for forest floor fuels. Additive systems of equations were simultaneously fitted for estimating fuel loads using overstorey, understorey and forest floor variables as regressors. The systems of equations included both the effect of pine species and the effect of understorey compositions dominated by ferns-brambles or by woody species, due to their obvious structural and physiological differences. In general, the goodness-of-fit statistics indicated that the estimates were reasonably robust and accurate for all of the fuel fractions. The best results were obtained for total understorey vegetation, total forest floor and raw humus fuel loads, with more than 76% of the observed variability explained, whereas the poorest results were obtained for coarse fuel loads of understory vegetation with a 53% of observed variability explained. To reduce the overall costs associated with the field inventories necessary for operational use of the models, the additive systems were fitted again using only overstorey variables as potential regressors. Only relationships for fine (<6 ​mm) and total understorey vegetation and total forest floor fuel loads were obtained, indicating the complexity of the forest overstorey-understorey and overstorey-forest floor relationships. Nevertheless, these models explained around 52% of the observed variability. Finally, equations estimating the total understorey vegetation and the total forest floor fuel loads based only on canopy cover were fitted. These models explained only 26%–32% of the observed variability; however, their main advantage is that although understorey vegetation in forested landscapes is largely invisible to remote sensing, canopy cover can be estimated with moderate accuracy, allowing for landscape-scale estimates of total fuel loads. The equations represent an appreciable advance in understorey and forest floor fuel load assessment in the region and areas with similar characteristics and may be instrumental in generating fuel maps, fire management improvement and better C storage assessment by vegetation type, among many other uses
PB KeAi Communications
SN 2197-5620
LK https://hdl.handle.net/10612/18762
UL https://hdl.handle.net/10612/18762
NO Vega, J. A., Arellano-Pérez, S., Álvarez-González, J. G., Fernández, C., Jiménez, E., Cuiñas, P., Fernández-Alonso, J. M., Vega-Nieva, D. J., Castedo-Dorado, F., Alonso-Rego, C., Fontúrbel, T., & Ruiz-González, A. D. (2022). Modelling fuel loads of understorey vegetation and forest floor components in pine stands in NW Spain. Forest Ecosystems, 9. https://doi.org/10.1016/J.FECS.2022.100074
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 23-may-2024