Maps of abiotic susceptibility versus fire-induced conversion to cheatgrass dominance in the sagebrush biome and associated data

This data publication contains the results of four models of cheatgrass presence or dominance within the sagebrush biome from plot level data collected from 2004 through 2019 projected onto simulated predictions of climate and soil water availability based on the norms from 1980 through 2019 for the sagebrush biome of the western United States and two associated maps that combine the conditional models with fire risk assessment of 2020 fuelscape to better understand the impact of fire risk on cheatgrass presence or dominance risk. These data include: 1) predictive maps for the probability of the presence or dominance (>15% relative cover) for cheatgrass, Bromus tectorum, under burned and unburned conditions (4 raster files); 2) predictive maps for the total risk of cheatgrass presence or dominance given the determined fire risk (2 raster files); and 3) predictive maps of susceptibility of cheatgrass presence or dominance categories (susceptible to presence or dominance regardless of fire, resistant to presence or dominance regardless of fire, fire-induced dominance, and fire-reduced dominance) (2 raster files). Also included are the plot level data used to create the models, which includes plot level climate and soil water availability predictions based on SOILWAT2 ecohydrological model and cheatgrass cover as recorded on site and cheatgrass relative cover (cheatgrass cover / sum of all species covers recorded on site) used to build the models (1 tabular file). Additionally, the raster of ecohydrologic conditions that the model was projected on to which includes predictive maps of climate and soil water availability long-term normals and interannual variability (1980-2019) that allowed the mapping of the models across the sagebrush biome (1 categorical raster file and 1 raster attribute table).<br>The purpose of this work is to define: 1) the environmental niche (presence/absence models) and potential risk of cheatgrass dominance (>15% relative cover) of cheatgrass burned and unburned conditions; 2) the total risk of cheatgrass presence/absence and dominance (risk under both burned conditions) given current fire risk; 3) the cheatgrass susceptibility types, categorization of the impact of fire on cheatgrass presence or dominance (high risk regardless of fire, low risk regardless of fire, increase of risk under burned conditions, decreased risk under unburned conditions); and 4) provide access to the underlying data that produced the maps.<br>For complete details regarding these data, see Urza et al. (2024).

Bibliographic Details

Main Authors:	David I. Board (14506784), Alexandra K. Urza (14506790), John B. Bradford (2907467), Jessi L. Brown (3296400), Jeanne C. Chambers (7432067), Daniel R. Schlaepfer (2930568), Karen C. Short (19657021)
Format:	Dataset biblioteca
Published:	2024
Subjects:	Environmental sciences, Ecology, Ecosystems, & Environment, JFSP, Plant ecology, invasive annual grass, cheatgrass, biota, Natural Resource Management & Use, Landscape ecology, biogeography, Geography, Range management & grazing, resistance, Forest & Plant Health, semi-arid, fire-induced conversion, invasive plants, dominance, climate suitability, Rangeland plants, grass-fire cycle, arid, Ecology, Invasive species, Botany, Landscape management, sagebrush, species distribution model, Joint Fire Science Program, Fire, Fire ecology, resistance to invasion,
Online Access:	https://figshare.com/articles/dataset/Maps_of_abiotic_susceptibility_versus_fire-induced_conversion_to_cheatgrass_dominance_in_the_sagebrush_biome_and_associated_data/27010771
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