G. S. Bartzke, R. May, E. J. Solberg, C. M. Rolandsen, and E. Røskaft. 2015. Differential barrier and corridor effects of power lines, roads and rivers on moose (Alces alces) movements. Ecosphere 6:67. http://dx.doi.org/10.1890/es14-00278.1


Supplement

R script for analyzing the effects of environmental variables, linear features (roads, power lines, rivers) and linear feature combinations on moose step selection.
Ecological Archives C006-016-S1.

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Authors
File list (downloads)
Description


Author(s)

G. S. Bartzke
Norwegian Institute for Nature Research, 7485 Trondheim, Norway
Institute for Biology, Norwegian University of Science and Technology, 7491 Trondheim, Norway
E-mail: [email protected]

R. May
Norwegian Institute for Nature Research, 7485 Trondheim, Norway
E-mail: [email protected]


File list

moose.r (MD5: eca62b33b44187ca6fe4c82269008b96)

Description

The R code includes the commands to run a basic ("mcb"), barrier ("mcr"), corridor ("mcor") and a combined ("mco") cox proportional hazard model testing for the effects of environmental variables, linear features (roads, power lines, rivers) and linear feature combinations on moose step selection. The code to calculate QIC values ("QIC.coxph", from Mathieu Basille), a customized predict function for cox proportional hazard models ("prcph2"), the code to reproduce model predictions, graphs and the code for seasonal models is also provided. The code should be run consecutively.

The data file to be used with the R-script moose.r to analyze the effects of environmental variables, linear features (roads, power lines, rivers) and linear feature combinations on moose step selection may be obtained from the authors upon request. The data was derived from moose GPS relocation data collected in Central-Norway during 2006-2010. A description of the variables can be found in the R-script moose.r. Please ask the Norwegian Institute for Nature Research (NINA) for consent before using this data for publication. Contact [email protected] and [email protected].