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Table 1 Statistical model types and specifications were tailored for each data set. Generalized linear models fit all data best. Asterisks (*) indicate both square root transformation and zero-inflated models. Non-native plant models tested included model families Poisson, negative binomial, and Gaussian; with and without zero-inflation; and transformations such as square root. Native shrub richness models tested included model families Gaussian and Poisson. Shrub cover and dominant obligate seeder cover were modeled with binomial family, in which the proportion of shrub cover was divided by the transect length for the response variable.

From: Decade-Long Plant Community Responses to Shrubland Fuel Hazard Reduction

Question

Response variable

Model family

Data

Native plants

Shrub cover

Binomial

Proportion

Native plants

Native shrub richness

Poisson

Species counted

Native plants

Dominant obligate seeder cover (buckbrush cover)

Binomial

Proportion

Non-native plants

Non-native annual grass density

Gaussian *

Count

Non-native plants

Non-native plant density by harmfulness rating

Gaussian *

Count