Plant disease outbreaks pose significant risks to global food security and environmental
sustainability worldwide, and result in the loss of primary productivity and biodiversity that …

Approximately 25 years ago, ecologists became increasingly interested in the question of
whether ongoing biodiversity loss matters for the functioning of ecosystems. As such, a new …

Purpose of review Forests are frequently exposed to natural disturbances, which are likely to
increase with global change, and may jeopardize the delivery of ecosystem services. Mixed …

Chronic biofilm‐associated infections caused by Staphylococcus aureus often lead to
significant increases in morbidity and mortality, particularly when associated with indwelling …

Coming up with Bayesian models for spatial data is easy, but performing inference with them
can be challenging. Writing fast inference code for a complex spatial model with realistically …

The boreal forests of Fennoscandia are largely dominated by Norway spruce and Scots
pine. Conifer monocultures have been favoured in forest management during the last …

ABSTRACT A growing body of evidence highlights the importance of biodiversity for
ecosystem stability and the maintenance of optimal ecosystem functionality. Conservation …

The INLA approach for approximate Bayesian inference for latent Gaussian models has
been shown to give fast and accurate estimates of posterior marginals and also to be a …

They may influence us as individuals by their encouragement and guidance; they may affect
their community through their untiring commitment to service and the greater good; or they …

Ecological data often exhibit spatial pattern, which can be modeled as autocorrelation.
Conditional autoregressive (CAR) and simultaneous autoregressive (SAR) models are …