Why Simpler Models are Better

(this is the first in a possibly irregular series of posts about papers that catch my eye. I don’t intend to only cover MEE papers, but I had to start somewhere)

ResearchBlogging.orgA perennial worry for anyone building models for the real world is whether they actually represent the real world. If the whole process of finding and fitting a model has been done well, the model will represent the data. But the data is only part of the real world. How can we be sure our model will extrapolated beyond the data?
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Latest papers online

In the past week, MEE has been at the ITN Speciation conference in Jyväskylä. As a result, journal updates have been slower than usual. So here is a quick overview of the new papers available online during the past week:

Research papers:
Movement ecology of human resource users: using net squared displacement, biased random bridges and resource utilization functions to quantify hunter and gatherer behaviour
Sarah K. Papworth, Nils Bunnefeld, Katie Slocombe and E. J. Milner-Gulland
This paper is accompanied by a podcast. Follow this link if you use a Mac to access the podcast.

Modelling dispersal: an eco-evolutionary framework incorporating emigration, movement, settlement behaviour and the multiple costs involved
Justin M. J. Travis, Karen Mustin, Kamil A. Bartoń, Tim G. Benton, Jean Clobert, Maria M. Delgado, Calvin Dytham, Thomas Hovestadt, Stephen C. F. Palmer, Hans Van Dyck and Dries Bonte

Designing a benthic monitoring programme with multiple conflicting objectives
Allert I. Bijleveld, Jan A. van Gils, Jaap van der Meer, Anne Dekinga, Casper Kraan, Henk W. van der Veer and Theunis Piersma

Application – as you know, all our applications are free:
mvabund– an R package for model-based analysis of multivariate abundance data
Yi Wang, Ulrike Naumann, Stephen T. Wright and David I. Warton