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

Loading...
Thumbnail Image
Statistics
View Statistics

Collection period

Date completed

2014

Date updated

Time period coverage

Isle Royale National Park in Lake Superior, Michigan, USA (1959-2014); the east-central Superior National Forest in northeastern Minnesota, USA (1967-2012); and Denali National Park, Alaska, USA (1986-2013).

Geographic coverage

Source information

Journal Title

Journal ISSN

Volume Title

Title

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

Published Date

2014-07-18

Group

Author Contact

Fieberg, John R
jfieberg@umn.edu

Type

Dataset
Software Code
Observational Data

Abstract

These files contain data and R code (along with associated output from running the code) supporting all results reported in: Mech, D. and J. Fieberg. 2014. Growth Rates and Variances of Unexploited Wolf Populations in Dynamic Equilibria. Wildlife Society Bulletin. In Mech and Fieberg (2014), we analyzed natural, long-term, wolf-population-density trajectories totaling 130 years of data from three areas: Isle Royale National Park in Lake Superior, Michigan; the east-central Superior National Forest in northeastern Minnesota; and Denali National Park, Alaska. We fit density-independent and Ricker models to each time series, allowing for 3 different assumptions regarding observation error (no error, Poisson or Log-normal observation error). We suggest estimates of the population-dynamic parameters can serve as benchmarks for comparison with those calculated from other wolf populations repopulating other areas.

Description

This dataset contains four files. PopulationModels.R is an R script defining functions used to fit density-independent and Ricker population models to associated time series data. With these functions, population measurements can be modeled under three different measurement assumptions: i) measured without error; ii) measured with Poisson error; or iii) measured with log-normal error. MechFieberg.R is a R script that will run all analyses supporting the findings in Mech and Fieberg (2014). MechFieberg.html is a summary of the output expected when running the MechFieberg.R script. Wolfdat.csv is the raw data file containing the wolf home range measurements. The four columns in this data correspond to the year of measurement (YR), and the location of measurement: Denali National Park (Denali), Isle Royale (IsleRoyale), and Superior National Forest (SNF).

Referenced by

Mech, D. and J. Fieberg. 2014. Growth Rates and Variances of Unexploited Wolf Populations in Dynamic Equilibria. Wildlife Society Bulletin.
http://dx.doi.org/10.1002/wsb.511

Related to

Replaces

Replaced by

Publisher

Funding information

item.page.sponsorshipfunderid

item.page.sponsorshipfundingagency

item.page.sponsorshipgrant

Previously Published Citation

Other identifiers

Suggested citation

Fieberg, John R; Mech, David. (2014). Growth Rates and Variances of Unexploited Wolf Populations in Dynamic Equilibria: Data, R Code, and Supporting Results. Retrieved from the Data Repository for the University of Minnesota (DRUM), http://dx.doi.org/10.13020/D6RP4N.
View/Download file
File View/OpenDescriptionSize
README.txtDescription of data and R code2.03 KB
PopulationModels.RR code containing functions used to fit density-independent and Ricker population models to time series data3.03 KB
MechFieberg.RR script showing Mech & Fieberg (2014) analyses44.39 KB
MechFieberg.htmlCode and associated output from running MechFieberg.R156.45 KB
Wolfdat.csvRaw data file796 B

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.