Mireia Bartrons, Árni Einarsson, Regina L. G. Nobre, Cristina M. Herren, Kyle C. Webert, Sandra Brucet, Sólveig R. Ólafsdóttir, Anthony R. Ives. 2015. Spatial patterns reveal strong abiotic and biotic drivers of zooplankton community composition in Lake Mývatn, Iceland. Ecosphere 6:105. http://dx.doi.org/10.1890/ES14-00392.1


Supplement

R code and scripts for computing multilevel models with spatial autocorrelation for zooplankton spatial distribution data.
Ecological Archives C006-022-S1.

Copyright


Authors
File list (downloads)
Description


Author(s)

Mireia Bartrons
University of Wisconsin- Madison, Department of Zoology
Madison, WI 53706, USA
E-mail: bartrons@wisc.edu

Árni Einarsson
Myvatn Research Station, Iceland and University of Iceland, Faculty of Life and Environmental Sciences
Reykjavík 101, Iceland.
E-mail: arnie@hi.is

Regina L. G. Nobre
Universidade Federal do Rio Grande do Norte, Ecology Department
Natal-RN 59072-970, Brazil
E-mail: reginanobre.eco@gmail.com

Cristina M. Herren
University of Wisconsin- Madison, Department of Zoology
Madison, WI 53706, USA
E-mail: cherren@wisc.edu

Kyle C. Webert
University of Wisconsin- Madison, Department of Zoology
Madison, WI 53706, USA
E-mail: webert@wisc.edu

Sandra Brucet
Aarhus University, Department of Bioscience
Aarhus 8000, Denmark
E-mail: sbb@dmu.dk

Sólveig R. Ólafsdóttir
Marine Research Institute
Reykjavik 101, Iceland
E-mail: solveig@hafro.is

Anthony R. Ives
University of Wisconsin- Madison, Department of Zoology
Madison, WI 53706, USA
E-mail: arives@wisc.edu


File list

Zooplankton_Myvatn_Code.r (MD5: 77e338006e7b29cb5a5e4d08df920736)

Description

Zooplankton_Myvatn_Code.r contains R code to create multilevel models with spatial autocorrelation, analyze the significance of random effects, and compare the best multilevel model for zooplankton spatial distribution data. Comment lines specify the inputs to the function and the outputs from the function. The code may be called from an R program as an external function, or it may be placed in-line within a R program.