Ontology highlight
ABSTRACT:
SUBMITTER: Jelbert K
PROVIDER: S-EPMC6897985 | biostudies-literature | 2019 Dec
REPOSITORIES: biostudies-literature
Jelbert Kim K Buss Danielle D McDonald Jenni J Townley Stuart S Franco Miguel M Stott Iain I Jones Owen O Salguero-Gómez Roberto R Buckley Yvonne Y Knight Tiffany T Silk Matthew M Sargent Francesca F Rolph Simon S Wilson Phil P Hodgson Dave D
Nature communications 20191206 1
Invasive plant species threaten native biodiversity, ecosystems, agriculture, industry and human health worldwide, lending urgency to the search for predictors of plant invasiveness outside native ranges. There is much conflicting evidence about which plant characteristics best predict invasiveness. Here we use a global demographic survey for over 500 plant species to show that populations of invasive plants have better potential to recover from disturbance than non-invasives, even when measured ...[more]