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Virtual Issue: Top Methods in Ecology and Evolution

17 Septembre 2014,

Publié par Bioécologie

Virtual Issue: Top Methods in Ecology and Evolution

Edited by Rob Freckleton and Bob O'Hara, Methods in Ecology and Evolution

What links tea bags, glove puppets, vandalism, and cheddar? Or catching birds, bug soup, criminal profiling, snow leopards and jaguars? Methods in Ecology and Evolution, obviously! We have now been publishing new methods for over 4 years, and the sheer variety of papers we have received is quite amazing: field, lab, statistics, simulations and computing. All areas of methodology have been covered, as have all areas of ecology and evolution: evolutionary biology, population genetics, conservation, stable isotopes, plant ecology, simulation modelling…the variety is almost overwhelming! In this Virtual Issue we have collated some of the most popular papers that we have published over the past four years, to showcase their high quality and diversity.

Our applications papers are always free, and all papers are free after 2 years; in addition all papers are completely free for BES members. So if you don’t have access already, why not join the BES, and along with all of the membership benefits you will get free access to MEE as a bonus?

Our editors and I will be attending some of the major ecology and evolution conferences this summer - so look out for us and do say hi!

Rob Freckleton
Executive Editor

Standard Papers

A protocol for data exploration to avoid common statistical problems
Alain F. Zuur, Elena N. Ieno, Chris S. Elphick

Do not log-transform count data
Robert B. O’Hara, D. Johan Kotze

The art of modelling range-shifting species
Jane Elith, Michael Kearney, Steven Phillips

Personal messages reduce vandalism and theft of unattended scientific equipment
B.-Markus Clarin, Eleftherios Bitzilekis,Björn M. Siemers, Holger R. Goerlitz

Comparing diversity data collected using a protocol designed for volunteers with results from a professional alternative
Ben G. Holt, Rodolfo Rioja-Nieto, M. Aaron MacNeil4, Jan Lupton and Carsten Rahbek

Simple means to improve the interpretability of regression coefficients
Holger Schielzeth

The next here

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