Back

Taming Darwin's conundrum: On the role of phylogenetic and functional differentiation in plant naturalization on oceanic islands

Arjona, Y.; Jay-Garcia, L. S.; Reyes-Betancort, J. A.; Morente-Lopez, J.; Salas-Pascual, M.; Naranjo-Cigala, A.; Sicilia-Pasos, G.; Padron-Mederos, M. A.; Orihuela-Rivero, R.; Gonzalez-Montelongo, R.; Patino, J.

2025-04-15 ecology
10.1101/2025.04.09.648018 bioRxiv
Show abstract

O_LIBiological invasions are a major threat to global biodiversity, particularly on oceanic islands and their unique and fragile biotas. However, the complexity of the processes underlying invasions has prevented the identification of general patterns explaining why some plant species successfully establish and spread beyond their native ranges. C_LIO_LIWe investigated Darwins naturalization conundrum in the most species-rich angiosperm family of the Canary Islands, considering two invasion stages across two spatial scales. Using a high-resolution phylogeny covering the Asteraceae species from the archipelago and functional traits measured from fresh specimens, we calculated phylogenetic and functional distances of invasive and noninvasive introduced species to natives. C_LIO_LIOur findings reveal that successful introduced Asteraceae species were phylogenetically distant from native relatives, with invasive species even more distantly related than noninvasive introduced species to their closest native relative. Functionally, noninvasive species were distinct, while invasive species showed unexpected similarity to native species. These patterns were consistent across spatial scales. C_LIO_LIThis study underscores the importance of a multidimensional approach to understanding plant invasion success. Identifying key patterns driving biological invasions is crucial for developing effective strategies against future ecological disruptions on islands. C_LI

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.