Sarah A. Johnson

TL;DR: In this paper, a multi-species occupancy model was proposed for assessing species-wide trends using curated historical collection data, with species-specific trends more closely matching classifications from IUCN.

TL;DR: In this article , the authors use occupancy models to quantify the effect of changes in temperature, precipitation and floral resources on bumblebee site occupancy over the past 12 decades in North America, finding no evidence of genuswide declines in site occupancy, but do find that occupancy is strongly related to temperature, and is only weakly related to precipitation or floral resources.

TL;DR: This method may be useful for bumble bee research and monitoring: filling in nesting ecology knowledge gaps and potentially as a conservation management tool.

TL;DR: It is argued that modifying croplands to support wild bees is likely to be a complex task, requiring study of the functional responses to landscape of bee species present in the region, and their interactions with the phenological variability in resources.

TL;DR: Soroye et al. as mentioned in this paper showed that the underlying data can introduce systematic biases (e.g., when binning specimens in time, the authors used time intervals of different lengths in their historic and modern eras).