BBWO_Mxntbrn_ravg: Apply Maxent habitat suitability model based solely on burn...
In qureshlatif/WoodpeckerHSI: Woodpecker habitat suitability models
Description
Usage
Arguments
Details
Value
Author(s)
References
Description
With required inputs, applies an alternate version of a Maxent model representing a component 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. This version is fitted with RAVG instead of MTBS burn severity data. RAVG data derive from immediate post-fire imagery, which is less ecologically relevant but more useful for post-fire forest planning.
Usage
1
BBWO_Mxntbrn(dnbr)
Arguments
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.
Details
A Maxent model with three variables is applied here. This model represents 1 of 8 models combined to generate ensemble predictions for nesting Black-backed Woodpeckers (Latif et al. 2013). The model here is analagous to the published version (see BBWO_Mxntbrn) but fitted with RAVG instead of MTBS burn severity data.
Value
Numeric vector with range 0-1 representing the logistic Maxent output quantifying relative habitat suitability.
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.
Merow, C., M. J. Smith, and J. A. Silander. 2013. A practical guide to MaxEnt for modeling species' distributions: what it does, and why inputs and settings matter. Ecography 36:1058-1069.
qureshlatif/WoodpeckerHSI documentation built on May 29, 2019, 7:51 a.m.
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Description Usage Arguments Details Value Author(s) References
Description
With required inputs, applies an alternate version of a Maxent model representing a component 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. This version is fitted with RAVG instead of MTBS burn severity data. RAVG data derive from immediate post-fire imagery, which is less ecologically relevant but more useful for post-fire forest planning.
Usage
1 | BBWO_Mxntbrn(dnbr)
|
Arguments
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. |
Details
A Maxent model with three variables is applied here. This model represents 1 of 8 models combined to generate ensemble predictions for nesting Black-backed Woodpeckers (Latif et al. 2013). The model here is analagous to the published version (see BBWO_Mxntbrn) but fitted with RAVG instead of MTBS burn severity data.
Value
Numeric vector with range 0-1 representing the logistic Maxent output quantifying relative habitat suitability.
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.
Merow, C., M. J. Smith, and J. A. Silander. 2013. A practical guide to MaxEnt for modeling species' distributions: what it does, and why inputs and settings matter. Ecography 36:1058-1069.
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