Abstract

Invasive species management requires allocation of limited resources towards the proactive mitigation of those species that could elicit the highest ecological impacts. However, we lack predictive capacity with respect to the identities and degree of ecological impacts of invasive species. Here, we combine the relative per capita effects and relative field abundances of invader as compared to native species into a new metric, “Relative Impact Potential” (RIP), and test whether this metric can reliably predict high impact invaders. This metric tests the impact of invaders relative to the baseline impacts of natives on the broader ecological community. We first derived the functional responses (i.e. per capita effects) of two ecologically damaging invasive fish species in Europe, the Ponto-Caspian round goby (Neogobius melanostomus) and Asian topmouth gudgeon (Pseudorasbora parva), and their native trophic analogues, the bullhead (Cottus gobio; also C. bairdi) and bitterling (Rhodeus amarus), towards several prey species. This establishes the existence and relative strengths of the predator–prey relationships. Then, we derived ecologically comparable field abundance estimates of the invader and native fish from surveys and literature. This establishes the multipliers for the above per capita effects. Despite both predators having known severe detrimental field impacts, their functional responses alone were of modest predictive power in this regard; however, incorporation of their abundances relative to natives into the RIP metric gave high predictive power. We present invader/native RIP biplots that provide an intuitive visualisation of comparisons among the invasive and native species, reflecting the known broad ecological impacts of the invaders. Thus, we provide a mechanistic understanding of invasive species impacts and a predictive tool for use by practitioners, for example, in risk assessments.

Highlights

  • Management of invasive species is one of our greatest global challenges, due to their perceived idiosyncratic nature and their continuing ecological and economic damage (Simberloff et al 2013)

  • While the measurement of functional responses is relatively straightforward (e.g. Dick et al 2013), the numerical response is a much more nebulous measure and somewhat laborious, and we propose that simple predator abundance (AB) estimates can be used as a proxy, giving the ‘‘Impact Potential’’ (IP) of an invader as: IP 1⁄4 Functional Response’ (FR) Â AB

  • On the Relative Impact Potential (RIP) biplots (Fig. 2; Table 3), the FR/Abundance values for the invasive N. melanostomus are clearly shifted towards the top and right and those for the native C. gobio and C. bairdi towards the bottom and left, reflecting field impact

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Summary

Introduction

Management of invasive species is one of our greatest global challenges, due to their perceived idiosyncratic nature and their continuing ecological and economic damage (Simberloff et al 2013). Scientists and practitioners have been frustrated by a lack of predictive methodologies to reliably identify potentially damaging invaders and their likely degree of ecological impact (i.e. measureable changes in populations of affected species; see Dick et al 2014). Invaders may be prioritised for management based on their documented impacts elsewhere, that is, their invasion history (Kulhanek et al 2011; Ricciardi et al 2013); this precludes the assessment of novel or potential invaders, or those for which relevant data are missing or scarce. Several hypotheses have emerged attempting to explain the mechanisms underlying the success and impacts of invaders, but many of these have not yet received rigorous testing (Ricciardi et al 2013), and species-trait based predictive methods are notoriously unconvincing (Dick et al 2014). We urgently require a mechanistic understanding of invader impacts that translates into a useful predictive methodology if early warning and rapid response approaches—such as those dictated by recent EU legislation on Invasive Alien Species—are to be developed and applied to this pernicious problem.

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