Description Data Torpor Functions Arousal Functions Model Functions Plot Tools
The batwintor package includes 4 groups of functions, Arrousal
Functions, Torpor Functions, Model Functions, and Plot
Functions. In addition there are 3 data sets built into the package that
allow you to explore the majorit of the packages functions.
There are 3 data sets included within the package.
bat.params, mylu.params, and
fung.params. bat.params contains all of the parameter
estimations necessary to run the primary model for 12 species of North
American bats. Bat species involved are listed by their four letter code
(first two letters genus and species) as we got tired of writing out the
whole name every time. The parameters for Myotis
lucifugus(mylu) is extracted from bat.params as an example
and stored as mylu.params. fung.params contains
the parameters required to calculate and scale the growth of
Pseduogymnoascans destructans, the psycrophilic fungal agent
responsable for WNS.
The Torpor Fucntions are used to calculate
how long a bat will maintain a torpid metabolic state
(torporTime), which is dependent largley on
ewl, and torporEnergy is used to
determine the energy expended during those bouts of torpor.
The Arousal Functions are designed to
explane the energry expendatures between bouts of torpor.
arousalTime and arousalEnergy document
the return from torpid body temperatures to euthermia. The functions
euthermicEnergy describes energy expendature during
euthermia, and the flyingTime and
flyingEnergy functions describe ammendments made to encourperate
the metabolic costs of flight during arousals. The coolTime
and coolEnergy functions handle the return from eutheria
to torpid state and complete the arousal cycle.
The model functions are the heart of the package and are composed of:
buildEnv, hibernationModel, and
batDynamic. The buildEnv function allows you to create your
the parameter space that your model will run across in the form of
environmental spave and a time vector. The hibernationModel takes
the supplied environment, the parameters passed in and formats the data
for the batDynamic which solves the differential equations.
hibernationModel then formats, and outputs the results for post-processing
and plotting
The plotting tools built in are currently quite inflexable and more designed to
generate consistant plots for publication. dangerZone plots the difference
in maximal winter hibernation time between infected and uninfected individuals.
survivalPlotter and survivalRaster used to infer the
model microclimate results across the geographic range of the species. This
function relies on the user supplying temperature and humidity data as well
as a distributional range (see getDistribution) and a surface
represing the length of witner. The survivalHistogram tallies
the cell values within these rasters and plots how the a species median
survival capasity will shift with the introduction of WNS. survivalMultiplot
combines survivalPlotter outputs of infected and uninfected along
with survivalHistogram to make one nice picture.
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