This study investigates classical scrapie (CS) and the risk of interspecies prion transmission by using presence data from wild cervids and infected small ruminant flocks. Employing remote sensing technologies, it derives vegetative and biophysical satellite indices to represent habitat features. A species distribution model integrates these data to identify suitable areas for CS and its hosts. The resultant consensus map and overlapping suitable areas create a detailed infection risk matrix.

Using eDNA to study fish communities in river–lake systems is a new, cost-effective method. Our study found that water eDNA might miss some fish living in the sediment. Fish communities in rivers and lakes are quite similar, showing how connected these systems are. The environment, especially temperature, influences the genetic signals found in water and sediment. This research sheds light on the effectiveness of eDNA in understanding aquatic ecosystems.

The study examined how terrestrial mammals' diets vary across geography. It found that herbivory is more prevalent in cold and desert areas, while frugivory and insectivory dominate in tropical regions. Granivory dominates in temperate environments, while carnivory is more common in the Northern Hemisphere and towards the poles. Terrestrial mammals' diets show conspicuous geographical patterns across the globe, partially explained by climate.

Machine learning models outperform simple mechanistic models in predicting pollinator visitation rates. We use deep learning to infer rules from land cover maps to estimate pollination services globally. Results suggest deep learning can improve predictions by identifying complex patterns in landscape composition, especially in data-rich but knowledge-poor areas. The challenge is to make deep learning algorithms more interpretable so that experts can validate prediction rules for pollination.

Plant-feeding insects can have large impacts on the photosynthetic rate of their host plants. Through reducing photosynthesis, and thus carbon assimilation by the plant, these impacts might have large-scale influences on ecosystem carbon cycling. Nevertheless, these effects are rarely considered in ecosystem-level studies. Here we propose an approach to incorporating these changes in plant physiology into estimates of ecosystem productivity.

Ranavirus infections in amphibians, especially anurans, have been increasingly documented, raising concerns over their role in population declines. This integrative review examines the prevalence, epidemiology, and global distribution of ranavirus in anurans over the past decade. The study concludes with recommendations for enhancing global surveillance and risk assessment strategies, particularly in biodiversity hotspots, where vulnerable species face a high risk of extinction.