Functional traits explain crayfish invasive success in the Netherlands

Biological invasions by nonindigenous species can have negative effects on economies and ecosystems. To limit this impact, current research on biological invasions uses functional traits to facilitate a mechanistic understanding of theoretical and applied questions. Here we aimed to assess the role of functional traits in the progression of crayfish species through different stages of invasion and determine the traits associated with invasive success. A dataset of thirteen functional traits of 15 species currently occurring or available for sale in the Netherlands was evaluated. Six of these crayfish appeared invasive. Important traits distinguishing successful from unsuccessful invaders were a temperate climate in the native range, a medium to high egg count and producing more than one egg clutch per year. The most successful invaders had different functional trait combinations: Procambarus clarkii has a higher reproductive output, can migrate over longer distances and possesses a higher aggression level; Faxonius limosus is adapted to a colder climate, can reproduce parthenogetically and has broader environmental tolerances. Using a suit of functional traits to analyse invasive potential can help risk management and prevention. For example, based on our data Procambarus virginalis is predicted to become the next successful invasive crayfish in the Netherlands.

Automated summary

Research on biological invasions emphasizes the role of functional traits in understanding the progression of crayfish species through different stages of invasion and determining traits associated with invasive success. Successful invaders typically come from temperate climates in their native range, have medium to high egg counts, and produce more than one clutch of eggs per year. Using a suite of functional traits to analyze invasive potential can aid in risk management and prevention, such as predicting the next successful invasive crayfish species in the Netherlands based on data.