Versión 1.0

"What’s wrong with the bees? How to predict the effects of global change on pollinators" There is increasing concern about the decline of pollinators worldwide. However, despite reports that pollinator declines are widespread, data are scarce and often geographically and taxonomically biased. These biases limit robust inference about any potential pollinator crisis. Non-structured and opportunistic historical specimen collection data provide the only source of historical information which can serve as a baseline for identifying pollinator declines. Here, I will first show how researchers can use historical data to identify long-term changes in biodiversity, species abundances, and responses to climate warming. A second key challenge is bridging the gap between ecological theory and empirical studies to understand the mechanisms regulating pollinator community dynamics. Species do not live in isolation but are embedded within a network of species interactions. Although responses to global change are typically studied at the species level, the emergent properties of complex communities of interacting organisms may buffer species from extinction. Using a well-replicated dataset of pollinator communities across a land use change gradient, I will show how we can characterize pollinator-pathogen interaction networks. In order to understand how pollinator populations are regulated, we need to link the network of mutualistic and antagonistic interactions to the stability of pollinator populations over time.

Descargar (561,3MB)

URL de WebDAV Las carpetas y archivos pueden ser gestionados directamente desde el explorador de ficheros del escritorio de tu sistema operativo. Más información.