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    Título
    Estimates of fine fuel litter biomass in the northern Great Basin reveal increases during short fire-free intervals associated with invasive annual grasses
    Autor
    Fernández Guisuraga, José ManuelAutoridad Buleria
    Calvo Galván, María LeonorAutoridad BuleriaORCID
    Fernandes, Paulo M.
    Hulet, April
    Perryman, Barry
    Schultz, Brad
    Jensen, K. Scott
    Enterkine, Josh
    Boyd, Chad S.
    Davies, Kirk W.
    Johnson, Dustin D.
    Wollstein, Katherine
    Price, William J.
    Arispe, Sergio A.
    Facultad/Centro
    Facultad de Ciencias Biologicas y Ambientales
    Área de conocimiento
    Ecologia
    Título de la revista
    Science of The Total Environment
    Datos de la obra
    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
    Editor
    Elsevier
    Fecha
    2022
    ISSN
    0048-9697
    Abstract
    [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.
    Materia
    Ecología. Medio ambiente
    Palabras clave
    Fire regime
    Net primary productivity
    Rangeland
    RAP
    Western US
    Wildfire
    Peer review
    SI
    URI
    http://hdl.handle.net/10612/15325
    DOI
    10.1016/j.scitotenv.2022.160634
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