BRT kelp forest model Nordland, 2014
Description
Region: Nordland county
Number of field observations: 4331
Field sampling years: 2011, 2012
Prevalence: 13%
Presence / absences: 503 / 3828
Method: BRT run in R with the R-package Dismo. (GAMs were also tested and gave similar distribution.)
Number of predictor variables: 9
Information about the predictor variables: curvature at coarse and medium detailed spatial resolution with a 1025 and 525 m moving calculating window respectively, based on a 25 m resolution DEM; DEM, slope, and wave exposure (all at 25 m resolution, the predictor variables are described in Rinde et al. 2006); mean salinity, mean current speed, maximum temperature and mean temperature, all with a 800 m resolution, but resampled to 25 m.
AUC internal: 0.99.
Resources
| Name |
Format |
Description |
Link |