Statistical Ecology Virtual Issue

StatEcolVI_WebAdAt the last ISEC, in Montpellier in 2014, an informal survey suggested that Methods in Ecology and Evolution was the most cited journal in talks. This reflects the importance of statistical methods in ecology and it is one reason for the success of the journal. For this year’s International Statistcal Ecology Conference in Seattle we have produced a virtual issue that presents some of our best recent papers which cross the divide between statistics and ecology. They range over most of the topics covered at ISEC, from statistical theory to abundance estimation and distance sampling.

We hope that Methods in Ecology and Evolution will be equally well represented in talks in Seattle, and also – just as in Montpellier – some of the work presented will find its way into the pages of the journal in the future.

Without further ado though, here is a brief overview of the articles in our Statistical Ecology Virtual Issue: Continue reading

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New podcast and video

In case you haven’t seen them, this month we have published a new podcast and video so far.

In our latest video, David Warton, The University of New South Wales, Australia, presents his ‘mvabund’ package on multivariate analysis. What makes this software different from other ones on multivariate analysis, is that it’s all about models that you can fit to your data. David explains how to look at the properties of your data and the common pitfalls in modelling multivariate data. He also goes through how to fit generalised linear models to your data. Do check David’s dancing!

Mvabund is a free application.

Movement ecology and habitat selection in human resource users

In their podcast with slideshow, Sarah Papworth and Nils Bunnefeld, Imperial College London, applied ecological methods and principles to GPS data on human movement to investigate the differences in movement ecology and habitat selection in human hunters and non hunters who return to a central place. Please note this is an mp4 file, to listen or download the mp3 file of the podcast click here.

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