RT info:eu-repo/semantics/article
T1 Estimates of fine fuel litter biomass in the northern Great Basin reveal increases during short fire-free intervals associated with invasive annual grasses
A1 Fernández Guisuraga, José Manuel
A1 Calvo Galván, María Leonor
A1 Fernandes, Paulo Alexandre Martins
AD  1966-
A1 Hulet, April
A1 Perryman, Barry
A1 Schultz, Brad
A1 Jensen, K. Scott
A1 Enterkine, Josh
A1 Boyd, Chad S.
A1 Davies, Kirk W.
A1 Johnson, Dustin D.
A1 Wollstein, Katherine
A1 Price, William J.
A1 Arispe, Sergio A.
A2 Ecologia
K1 Ecología. Medio ambiente
K1 Fire regime
K1 Net primary productivity
K1 Rangeland
K1 RAP
K1 Western US
K1 Wildfire
AB [EN] Exotic annual grasses invasion across northern Great Basin rangelands has promoted a grass-fire cycle that threatens the sagebrush (Artemisia spp.) steppe ecosystem. In this sense, high accumulation rates and persistence of litter from annual species largely increase the amount and continuity of fine fuels. Here, we highlight the potential use and transferability of remote sensing-derived products to estimate litter biomass on sagebrush rangelands in southeastern Oregon, and link fire regime attributes (fire-free period) with litter biomass spatial patterns at the landscape scale. Every June, from 2018 to 2021, we measured litter biomass in 24 field plots (60 m × 60 m). Two remote sensing-derived datasets were used to predict litter biomass measured in the field plots. The first dataset used was the 30-m annual net primary production (NPP) product partitioned into plant functional traits (annual grass, perennial grass, shrub, and tree) from the Rangeland Analysis Platform (RAP). The second dataset included topographic variables (heat load index -HLI- and site exposure index -SEI-) computed from the USGS 30-m National Elevation Dataset. Through a frequentist model averaging approach (FMA), we determined that the NPP of annual and perennial grasses, as well as HLI and SEI, were important predictors of field-measured litter biomass in 2018, with the model featuring a high overall fit (R2 = 0.61). Model transferability based on extrapolating the FMA predictive relationships from 2018 to the following years provided similar overall fits (R2 ≈ 0.5). The fire-free period had a significant effect on the litter biomass accumulation on rangelands within the study site, with greater litter biomass in areas where the fire-free period was <10 years. Our findings suggest that the proposed remote sensing-derived products could be a key instrument to equip rangeland managers with additional information towards fuel management, fire management, and restoration efforts.
PB Elsevier
SN 0048-9697
LK http://hdl.handle.net/10612/15325
UL http://hdl.handle.net/10612/15325
NO Fernández-Guisuraga J., Calvo L. (2022) Estimates of fine fuel litter biomass in the northern Great Basin reveal increases during short fire-free intervals associated with invasive annual grasses. Science of The Total Environment 160634. https://doi.org/10.1016/j.scitotenv.2022.160634
DS BULERIA. Repositorio Institucional de la Universidad de León
RD Jul 6, 2024