Quantifying and linking mechanism scenarios to invasive species impact

Plant species invasion represents one of the major drivers of biodiversity change globally, yet there is confusion about the nature of nonindigenous species (NIS) impact. This confusion stems from differing notions of what constitutes invasive species impact and the scales at which it should be assessed. At local scales, the mechanisms of the impact on local competitors can be classified into four scenarios: (1) minimal impact from NIS inhabiting unique niches; (2) neutral impact spread across the community and proportional to NIS abundance; (3) targeted impact on a small number of competitors with overlapping niches; and (4) pervasive impact that is disproportionate to NIS abundance and caused by modifications that filter out other species. I developed a statistical test to distinguish these four mechanism scenarios based on plant community rank-abundance curves and then created a scale-independent standardized impact score. Using an example long-term dataset with high native plant diversity and an abundance gradient of the invasive vine, Vincetoxicum rossicum, I show that the impact resulted in either targeted or pervasive extirpations. Regardless of whether the NIS impact is neutral, targeted, or pervasive, the net outcome will be the homogenization of ecosystems and reduced biodiversity at larger scales, perhaps reducing ecosystem resilience. The framework and statistical evaluation of impact presented in this paper provide researchers and managers with an objective approach to quantifying NIS impact and prioritizing species for further management actions.

Automated summary

Plant species invasion is a major driver of global biodiversity change, but there is confusion about the nature of nonindigenous species (NIS) impact. At local scales, the impact of NIS on local competitors can be classified into four scenarios, ranging from minimal impact to pervasive impact. The net outcome of NIS impact, regardless of its nature, will lead to ecosystem homogenization and reduced biodiversity at larger scales, potentially reducing ecosystem resilience. The framework and statistical evaluation presented in this paper provide an objective approach to quantifying NIS impact and prioritizing species for management actions.