Farina Herrmann

TL;DR: The PREDICTS project as discussed by the authors provides a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use.

TL;DR: The results indicate that increased worker abundances within landscapes are rather due to greater colony sizes than due to an increased number of nests, and suggest that inbreeding levels might be related to the temporal variation of food resources and population sizes in agricultural landscapes.

TL;DR: Analysis of a global dataset of bee diversity at sites facing land-use change and intensification suggests that global extrapolation of models based on geographically and taxonomic restricted data may underestimate the true uncertainty, increasing the risk of ecological surprises.

TL;DR: In this article, a global dataset of bee diversity at sites facing land-use change and intensification, and assess whether bee responses to these pressures vary across 11 regions (Western, Northern, Eastern and Southern Europe; North, Central and South America; Australia and New Zealand; South East Asia; Middle and Southern Africa) and between bumblebees and other bees.

TL;DR: A dataset of 3,250,404 measurements, collated from 26,114 sampling locations in 94 countries and representing 47,044 species, which was assembled as part of the PREDICTS project - Projecting Responses of Ecological Diversity In Changing Terrestrial Systems.