Habitat fragmentation is a leading cause of plant extinctions, yet predicting which species are most vulnerable remains a key challenge. We propose that population connectivity, and thus gene flow via pollination and seed dispersal, can be inferred from plant traits. We integrate these traits into a connectivity–trait dimension, which, together with breeding system, life-history traits, and landscape context, ranks species at risk of genetic erosion and local extinction, providing an early-warning triage tool. By linking traits to gene flow mechanisms, the framework helps prioritise investment in detailed population genetic analyses and provides a scalable tool to identify species most at risk of genetic inbreeding and extinction in fragmented landscapes.

Over the last year, our lab has been developing a policy on AI use. To do this, we did three main things: We read a lot of academic publications and tech news. We set up an #ai channel on our la...

Classification:  Academic Level ASalary package: $91,546 - $114,906 per annum plus 17% superannuation Terms:  Full time, Fixed term (up to 2 years) (flexible arrangements, job share, or part time hour...

After a hiatus, we are ecstatic to bring back the LGBTQ+ STEMinar this 6th of November 2026 to be held in person at Queen Mary University of London.

Enter the BES 2026 annual ecology photo competition and submit pictures of ecology that showcase nature, wildlife and research for a chance to win prizes.