Title: Growth Rates and Variances of Unexploited Wolf Populations in Dynamic Equilibria: Data, R Code, and Supporting Results

Researcher: John Fieberg, University of Minnesota
Researcher: David Mech, University of Minnesota

General Description:  This collection contains data and R code (along with associated output from running the code) supporting all results reported in Mech and Fieberg (2014).  

Files:
1. PopulationModels.R = R code containing functions used to fit density-independent and Ricker population models to time series data.  Population sizes may be assumed to be: a) measured without error; b) measured with Poisson error; or c) measured with log-normal error.
2. MechFieberg.R = R code to run all analyses in support of Mech and Fieberg (2014).  
3. MechFieberg.html = R code and associated output, supporting all results reported in Mech and Fieberg (2014).  Created using the knitr package of program R (R Cpre Team 2013, Yihui 2013).
4. Wolfdat.csv = data file with four columns (YR, Denali, IsleRoyale, and SNF). The first gives the year of the observation. The other 3 give population estimates at Denali National Park, Isle Royale, and Superior National Forest, respectively.  Sampling methods are described in Mech and Fieberg (2014).
	- Blank spaces indicate that no data was collected at that location for the given year. 


R session info for code:
This code was created and run with R 3.1.1 and on a x86_64-w64-mingw32/x64 (64-bit) platform. 


License/Restriction Info:
This data is protected under a Creative Commons Attribution-NonCommercial-ShareAlike International 4.0 license. 



References:
Mech, D. and J. Fieberg. 2014. Growth Rates and Variances of Unexploited Wolf Populations in Dynamic Equilibria.  Wildlife Society Bulletin.

R Core Team (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/.

Yihui Xie (2013). knitr: A general-purpose package for dynamic report generation in R. R package version 1.4.1.