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dc.contributorFacultad de Ciencias Biologicas y Ambientaleses_ES
dc.contributor.authorFernández Guisuraga, José Manuel 
dc.contributor.authorCalvo Galván, María Leonor 
dc.contributor.authorFernandes, Paulo M.
dc.contributor.authorHulet, April
dc.contributor.authorPerryman, Barry
dc.contributor.authorSchultz, Brad
dc.contributor.authorJensen, K. Scott
dc.contributor.authorEnterkine, Josh
dc.contributor.authorBoyd, Chad S.
dc.contributor.authorDavies, Kirk W.
dc.contributor.authorJohnson, Dustin D.
dc.contributor.authorWollstein, Katherine
dc.contributor.authorPrice, William J.
dc.contributor.authorArispe, Sergio A.
dc.contributor.otherEcologiaes_ES
dc.date2022
dc.date.accessioned2022-12-15T11:10:08Z
dc.date.available2022-12-15T11:10:08Z
dc.identifier.citationFernández-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.2022.160634es_ES
dc.identifier.issn0048-9697
dc.identifier.urihttp://hdl.handle.net/10612/15325
dc.description.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.es_ES
dc.languageenges_ES
dc.publisherElsevieres_ES
dc.rights*
dc.rights.uri*
dc.subjectEcología. Medio ambientees_ES
dc.subject.otherFire regimees_ES
dc.subject.otherNet primary productivityes_ES
dc.subject.otherRangelandes_ES
dc.subject.otherRAPes_ES
dc.subject.otherWestern USes_ES
dc.subject.otherWildfirees_ES
dc.titleEstimates of fine fuel litter biomass in the northern Great Basin reveal increases during short fire-free intervals associated with invasive annual grasseses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doi10.1016/j.scitotenv.2022.160634
dc.description.peerreviewedSIes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccesses_ES
dc.journal.titleScience of The Total Environmentes_ES
dc.page.initial160634es_ES
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersiones_ES


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