BBWO_MxWLRHSIs_ravg: Apply RAVG versions of Maxent and WLR habitat suitability...

Description Usage Arguments Details Value Author(s) References See Also

Description

Applies alternative RAVG-based versions of Maxent and weighted logistic regression (WLR) models representing 5 of 8 components of an ensemble for nesting Black-backed Woodpecker (BBWO; Latif et al. 2013) in burned dry conifer forest of the Inland Northwest and central Rocky Mountains.

Usage

1
BBWO_MxWLRHSIs(cosasp,dnbr,loccc40,lndcc40)

Arguments

cosasp

Numeric vector whose values are cosine-transformed topographic aspect (i.e., north-south component) at the 30m pixel resolution.

dnbr

Numeric vector whose values are median delta-normalized burn ratio for 3x3 pixel neighborhood at 30m pixel resolution derived from RAVG (contra MTBS) data.

loccc40

Numeric vector whose values are percent of 3x3 pixel neighborhood (30m pixel resolution) that has >40 percent canopy cover before fire.

landcc40

Numeric vector whose values are percent of 1-km radius circular neighborhood that has >40 percent canopy cover before fire (at 30m pixel resolution).

Details

This is a partial wrapper function. It employs sub-functions to apply 2 Maxent models, and adds 3 weighted logistic regression models. Resulting HSIs (range 0-1) are bound together and exported in matrix form. Models applied represent 5 of 8 (alternate RAVG-based) models used to generate ensemble predictions for nesting Black-backed Woodpeckers (Latif et al. 2013).

Value

HSIs

Numeric matrix with 5 columns correspinding each of the models applied. These are labeled 'SG_wlr', 'TP_wlr', 'TB_wlr', 'Maxent_3v', and 'Maxent_brn' corresponding, respectively, with 'Star Gulch logistic regression', 'Tripod logistic regression', 'Toolbox logistic regression', '3-variable Maxent', and 'dNBR Maxent' models described by Latif et al. (2013).

Author(s)

Quresh S. Latif, Rocky Mountain Research Station, U.S. Forest Service

References

Latif, Q. S., V. A. Saab, J. G. Dudley, and J. P. Hollenbeck. 2013. Ensemble modeling to predict habitat suitability for a large-scale disturbance specialist. Ecology and Evolution 3:4348-4364.

See Also

Mahal_HSI


qureshlatif/WoodpeckerHSI documentation built on May 29, 2019, 7:51 a.m.