10.5061/DRYAD.R7SQV9S8V
Watling, James
John Carroll University
Costanza, Jennifer
North Carolina State University
Sutherland, Ron
Wildlands Network
Belyea, Curtis
North Carolina State University
Dilkina, Bistra
University of Southern California
Cayton, Heather
Michigan State University
Bucklin, David
University of Florida
Romañach, Stephanie
United States Geological Survey
Haddad, Nick
Michigan State University
Ecological niche models for American black bear, Rafinesque's
big-eared bat, and timber rattlesnake
Dryad
dataset
2020
Corynorhinus rafinesquii
Crotalus horridus
Habitat model
generalized boosting model
Generalized linear model
multivariate adaptive regression spline
Maximum Entropy
United States Geological Survey
https://ror.org/035a68863
Department of Interior Southeast Climate Adaptation Science Center G12AC20503
United States Department of the Interior
https://ror.org/03v0pmy70
Southeast Climate Adaptation Science Center G16AP00129
2020-08-05T00:00:00Z
2020-08-05T00:00:00Z
en
https://doi.org/10.5061/dryad.z8w9ghx85
https://doi.org/10.5061/dryad.z8w9ghx85
162579166 bytes
3
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
This data set contains rasters that are predictive environmental
suitability maps for three wildlife species: the American black bear
(Ursus americanus), Rafinesque's big-eared bat (Corynorhinus
rafinesquii), and Timber rattlesnake (Crotalus horridus). Rasters for each
species include: individual prediction maps for each of 5 ENMs (GBM:
generalized boosting model, GLM: generalized linear model,
MARS: multivariate adaptive regression spline, MX: maximum entropy, and
RF: random forest), as well as the ensemble prediction map from all five
ecological niche models (ENMs).
The ENMs were created using the Biomod package in R. Input data included
occurrence points for each species, along with environmental variables
from recent land cover and climate data sets. Individual models were
created via the five algorithms (GBM, GLM, MARS, MX, and RF) and then
averaged to produce the ensemble ENM. The ensemble models were used to map
habitat cores and least cost paths between cores for the three focal
species. Least cost paths are posted
here: https://doi.org/10.5061/dryad.z8w9ghx85 For more information on the
purpose of these data and the methods used to create them, see: Costanza
et al. Preserving connectivity under climate and land-use change: no
one-size-fits-all approach for focal species in similar habitats.
Biological Conservation.
See the file naming conventions in the readme file (readme.txt) that has
been uploaded with this data set.