Abstract

Invasive alien species (IAS) cause myriad negative impacts, such as ecosystem disruption, human, animal and plant health issues, economic damage and species extinctions. There are many sources of emerging and future IAS, such as the poorly regulated international pet trade. However, we lack methodologies to predict the likely ecological impacts and invasion risks of such IAS which have little or no informative invasion history. This study develops the Relative Impact Potential (RIP) metric, a new measure of ecological impact that incorporates per capita functional responses (FRs) and proxies for numerical responses (NRs) associated with emerging invaders. Further, as propagule pressure is a determinant of invasion risk, we combine the new measure of Pet Propagule Pressure (PPP) with RIP to arrive at a second novel metric, Relative Invasion Risk (RIR). We present methods to calculate these metrics and to display the outputs on intuitive bi- and triplots. We apply RIP/RIR to assess the potential ecological impacts and invasion risks of four commonly traded pet turtles that represent emerging IAS: Trachemysscriptascripta, the yellow-bellied slider; T.s.troostii, the Cumberland slider; Sternotherusodoratus, the common musk turtle; and Kinosternonsubrubrum, the Eastern mud turtle. The high maximum feeding rate and high attack rate of T.s.scripta, combined with its numerical response proxies of lifespan and fecundity, gave it the highest impact potential. It was also the second most readily available according to our UK surveys, indicating a high invasion risk. Despite having the lowest maximum feeding rate and attack rate, S.odoratus has a high invasion risk due to high availability and we highlight this species as requiring monitoring. The RIP/RIR metrics offer two universally applicable methods to assess potential impacts and risks associated with emerging and future invaders in the pet trade and other sources of future IAS. These metrics highlight T.s.scripta as having high impact and invasion risk, corroborating its position on the EU list of 49 IAS of Union Concern. This suggests our methodology and metrics have great potential to direct future IAS policy decisions and management. This, however, relies on collation and generation of new data on alien species functional responses, numerical responses and their proxies, and imaginative measures of propagule pressure.

Highlights

  • Invasive alien species (IAS), i.e. those introduced to areas outside their native range, can be major drivers of global biodiversity loss and cause a range of other negative impacts (Tilman et al 2017)

  • Impact Potential (IP) scores using maximum feeding rate with all three numerical response proxies were higher for T. s. scripta and T. s. troostii relative to K. subrubrum and S. odoratus

  • If we consider fecundity and lifetime fecundity, IP was again highest for T. s. scripta and T. s. troostii versus S. odoratus and K. subrubrum, which were similar

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Summary

Introduction

Invasive alien species (IAS), i.e. those introduced to areas outside their native range (which may or may not have impact; see Ricciardi and Cohen 2007), can be major drivers of global biodiversity loss and cause a range of other negative impacts (Tilman et al 2017). The number, frequency and viability of individuals of each species released, is a key factor determining whether a species establishes, with the aquarium and ornamental trades shown to be a major determinant of propagule pressure (Gertzen et al 2008; García-Díaz et al 2015). This is deemed responsible for a third of aquatic IAS (Padilla and Williams 2004), due to poor industry regulation (Raghavan et al 2013) and fuelled by misconceptions surrounding the ethics and consequences of “mercy” release (Liu et al 2013). Prevention strategies require new methods to quantify likely ecological impact, here defined as negatively affecting the abundance of one or more native species, and invasion risk, which combines impact with likelihood of establishment, for emerging and potential future invaders (Dick et al 2017b)

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