Otso Ovaskainen has led two interesting papers in the recent issue of Methods in Ecology and Evolution. The first uses latent variable models to improve on species occurrence prediction – by accounting for the presence of other species the predictive power is doubled compared to environmental covariates only. The second outlines a spatially explicit joint species distribution model – they show that including spatial latent factors improves predictive power.
Jeff Leek has put together a nice guide/discussion of how he decides when to trust an R package.
Spatial datasets used in Remote Sensing and GIS for Ecologists available online.
The BES GM debate, part of the annual meeting fringe, 17.30-20.30, 16th December at the Royal Society of Edinburgh.
Comparative approaches in ecology and evolution – course bringing together functional, demographic and phylogenetic analyses – 25-29 April at the Max Planck Institute for Demographic Research, Rostock, Germany.
PhD at Centre for Ecology and Hydrology in Wallingford – Winners & Losers in the Anthropocene: detecting and understanding the impact of environmental change on plants across multiple spatial, temporal and biodiversity scales.
Research Officer position at Bangor University – molecular ecology (eDNA analysis).