gap100_predictive_model: Predictive model for annual and perennial canopy gaps > 100...

gap100_predictive_modelR Documentation

Predictive model for annual and perennial canopy gaps > 100 cm

Description

This model can estimate percent cover of annual and perennial canopy gaps > 100 cm using percent cover of perennial canopy gaps > 100 cm and any-hit annual herbaceous cover. It was built using data from all NRI and LMF plots in the Upper Colorado River Basin where both perennial gaps and annual + perennial gaps were measure at the same time.Cases where annual and perennial gap cover was greater than 1 standard deviation above perennial gap cover were excluded because annual and perennial gap cover typically should not exceed perennial gap cover, but occasionally does does due to measurement errors. Adjusted R-squared: 0.831; P-value < 0.001

Usage

gap100_predictive_model

Format

A linear model that predicts CA_percent_100plus (% cover of annual and perennial canopy gaps > 100 cm)

CP_percent_100plus

Independent variable representing % cover of perennial canopy gaps > 100 cm

AH_AnnForbGrassCover

Independent variable representing any-hit % cover of annual herbaceous plants from LPI


annack84/STMdevelopment documentation built on April 12, 2024, 6:46 p.m.