Patrick E. Osborne

TL;DR: It was found that methods specifically designed for collinearity, such as latent variable methods and tree based models, did not outperform the traditional GLM and threshold-based pre-selection and the value of GLM in combination with penalised methods and thresholds when omitted variables are considered in the final interpretation.

TL;DR: In this article, the authors presented predictive models for great bustards in central Spain based on readily available advanced very high resolution radiometer (AVHRR) satellite imagery combined with mapped features in the form of geographic information system (GIS) data layers.

TL;DR: In this article, the authors examined the effects of agricultural abandonment on birds during the breeding and non-breeding seasons in the Mediterranean and Eurosiberian regions of Spain using a successional gradient.

TL;DR: In this paper, the uncertainty generated by using different climate predictor variable sets for modelling the impacts of climate change is assessed and the use of sound ecological theory and statistical methods to check predictor variables can reduce this uncertainty, but our knowledge of species may be too limited to make more than arbitrary choices.

TL;DR: There was a significant degree of consistency among bird species in the ranking of crops, with oil-seed rape the most preferred and spring-sown cereal the least preferred.