Data includes functional group cover of exotic annual grasses and deep rooted perennial grasses within the first five years after the 2015 Soda wildfire across different post-fire restoration treatments. Additional landscape and restoration treatment covariates hypothesized to influence post-fire invasive annual grass and perennial grass cover are included.

Data includes cover and presence (within microsites and 13 m radius plots) of three exotic annual grass, Bromus tectorum, Taeniatherum caput-medusae, and Ventenata dubia and presence (within microsites) of four perennial bunchgrass species (Agropyron cristatum, Pseudoroegneria spicata, Poa secunda, Elymus elymoides) within the first five years after the 2015 Soda wildfire. Additional landscape and weather covariates hypothesized to influence landscape resistance to invasion are included.

Data includes cover and presence (within microsites and 13 m radius plots) of three exotic annual grass, Bromus tectorum, Taeniatherum caput-medusae, and Ventenata dubia and presence (within microsites) of four perennial bunchgrass species (Agropyron cristatum, Pseudoroegneria spicata, Poa secunda, Elymus elymoides) within the first five years after the 2015 Soda wildfire. Additional landscape and weather covariates hypothesized to influence landscape resistance to invasion are included.

The point data file ("Soda Fire Point and Pasture Data (2016).Point Data.csv") includes 2016 vegetative cover values of exotic annual grass and perennial grass measured within three different types of plots for 75 pastures in the Soda Fire, which burned in 2015: 6m² plot using a grid-point intercept photo software, SamplePoint (Booth et al. 2006), 1m² quadrat using an unguided rapid ocular estimate in the field, 531m² circular plot using an unguided rapid ocular estimate in the field. Smaller plots were nested within larger plots. The pasture data file ("Soda Fire Point and Pasture Data (2016).Pasture Data.csv") includes pasture level metrics of area, elevation, precipitation, slope, heatload, soils, and herbicide treatments within the 75 pastures. Booth, D.T., Cox, S.E., and Berryman, R.D., 2006, Point sampling digital imagery with ‘SamplePoint’, Environmental Monitoring and Assessment, 123 (1-3): 97-108, https://doi.org/10.1007/s10661-005-9164-7.

Data includes functional group cover of exotic annual grasses, deep rooted perennial grasses, and shallow rooted perennial grasses within the first five years after the 2015 Soda wildfire across different post-fire restoration treatments. Additional landscape and weather covariates hypothesized to influence treatment effectiveness are included.

Data includes functional group cover of exotic annual grasses, deep rooted perennial grasses, and shallow rooted perennial grasses within the first five years after the 2015 Soda wildfire across different post-fire restoration treatments. Additional landscape and weather covariates hypothesized to influence treatment effectiveness are included.

These rasters represent plant cover during each of the first five growing seasons after fire in the area burned in the 2015 Soda wildfire. Specifically included cover layers are annual herbaceous, perennial herbaceous, shrub, exotic annual grass, and bareground. Training data for each year was collected via grid-point intercept monitoring between April and August. Empirical Bayesian Kriging Regression (EBK regression) was then used to interpolate field training data and create continuous maps of cover. Accuracy for rasters was assessed via independent test data sets collected on the same landscape.

Data includes functional group cover of exotic annual grasses, shallow rooted perennial grasses, and cover, basal diameter, height, and density of deep-rooted perennial grasses within the first five years after the 2015 Soda wildfire across post-fire drill-seeding treatments.

Data includes functional group cover of exotic annual grasses, shallow rooted perennial grasses, and cover, basal diameter, height, and density of deep-rooted perennial grasses within the first five years after the 2015 Soda wildfire across post-fire drill-seeding treatments.

Land management treatments in sagebrush steppe are an important opportunity to break the annual-grass fire cycle, provided they offer long-lasting resistance to annual-grass invasion and do not burn. However, for BLM areas seeded as part of the Emergency Stabilization and Rehabilitation (ESR) program, one of the largest programs for land management treatments, about 1/4 have at least partially reburned over the last 30 years, according to a recent study. Reburning of treatments can cause a loss of investment if fire-intolerant perennials do not recover and/or significant invasions occur, in which case the risks of wildfire are compounded by increased potential for ecological degradation. Alternatively, recovery of fire-tolerant perennials occurs naturally or due to treatments would represent a significant return on prior investment and the occurrence of fire would thus pose reduced ecological hazard risks. Fire risks are highly variable across sagebrush landscapes, owing to variability in fuel loading, ignition potential, and fire transmission. Information is needed on predicting future risks related to reburning - including post-fire hazards related to ecological degradation - for past land management investments to a) identify protection measures that could be applied now, and b) help design and positioning of future treatment investments to minimize their risk of reburning in ways that cause ecological degradation. This dataset was compiled in order to predict reburn risk to areas that had previously burned and were retreated.