A framework to support alien species regulation: the Risk Analysis for Alien Taxa (RAAT)

Kumschick, Sabrina; Wilson, John R.; Foxcroft, Llewellyn C.

doi:10.3897/neobiota.62.51031

Cited by 39 publications

(24 citation statements)

References 61 publications

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“…Several frameworks have been developed to combine all these different aspects in the decision process (e.g. Bertolino et al, 2020; Kumschick et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Ranking alien species based on their risks of causing environmental impacts: A global assessment of alien ungulates

Volery

Jatavallabhula

Scillitani

et al. 2020

Global Change Biology

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For an efficient allocation of the limited resources to alien species management, the most damaging species should be prioritised. Comparing alien species based on their impacts is not straightforward, as the same species can cause different types and magnitudes of impacts when introduced to different contexts, making it difficult to summarise its overall impact. The Environmental Impact Classification for Alien Taxa (EICAT) systematically summarises and compares detrimental impacts caused by alien populations to native biota and has been adopted by the International Union for Conservation of Nature. For each alien species, all reported impacts to native populations within the introduced range are classified into five levels of severity, from negligible impact to irreversible local extinction. Currently, EICAT only compares alien species based on their highest impact, thereby ignoring variation in impact magnitudes. Here, we used information on the variation in impact magnitudes of alien species to estimate their risks to cause high impacts if introduced to a novel environment. We demonstrate the usefulness of this approach by classifying the global impacts of alien ungulates. We found impact reports for 27 of the 66 alien ungulate species established worldwide, highlighting substantial knowledge gaps in invasion science. We classified a total of 441 impacts to native fauna and flora caused by these 27 species. Twenty‐six of the species were found to cause harmful impacts (native population declines or local extinctions). Mouflon (Ovis orientalis, Gmelin, 1774) and dromedary (Camelus dromedarius, Linnaeus, 1758) had a higher risk of causing local extinctions if introduced to a novel environment than sika deer (Cervus nippon, Temminck, 1838) and goats (Capra hircus, Linnaeus, 1758). Including risk of high impacts allows to discriminate among species with the same EICAT classification and improves alien species prioritisation for management.

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“…Several frameworks have been developed to combine all these different aspects in the decision process (e.g. Bertolino et al, 2020; Kumschick et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Ranking alien species based on their risks of causing environmental impacts: A global assessment of alien ungulates

Volery

Jatavallabhula

Scillitani

et al. 2020

Global Change Biology

View full text Add to dashboard Cite

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“…However, risk assessments require additional information on the likelihood of the hazard occurring, such as the probability that the alien taxon will enter, establish and spread at a certain site. For policy-making and legislative decisions, additional information on benefits, costs and efficiency of management options are required (Kumschick et al 2020;Vimercati et al 2020;Bertolino et al 2020).…”

Section: Policy and Legislationmentioning

confidence: 99%

Appropriate uses of EICAT protocol, data and classifications

Kumschick¹,

Bacher²,

Bertolino³

et al. 2020

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The Environmental Impact Classification for Alien Taxa (EICAT) can be used to classify alien taxa according to the magnitude and type of their environmental impacts. The EICAT protocol, classifications of alien taxa using the protocol (EICAT classification) and the data underpinning classifications (EICAT data) are increasingly used by scientists and practitioners such as governments, NGOs and civil society for a variety of purposes. However, the properties of the EICAT protocol and the data it generates are not suitable for certain uses. Therefore, we present guidelines designed to clarify and facilitate the appropriate use of EICAT to tackle a broad range of conservation issues related to biological invasions, as well as to guide research and communication more generally. Here we address common misconceptions and give a brief overview of some key issues that all EICAT users need to be aware of to take maximal advantage of this resource. Furthermore, we give examples of the wide variety of ways in which the EICAT protocol, classifications and data can be and have been utilised and outline common errors and pitfalls to avoid.

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“…New technologies or refined risk assessments (e.g. Kumschick et al 2020) could also alter the perceived costs versus benefits of investing in preventing non-native transport.…”

Section: Transport Negative Feedbacksmentioning

confidence: 99%

Reciprocal human-natural system feedback loops within the invasion process

Sinclair¹,

Brown²,

Lockwood³

2020

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Biological invasions are inextricably linked to how people collect, move, interact with and perceive non-native species. However, invasion frameworks generally do not consider reciprocal interactions between non-native species and people. Non-native species can shape human actions via beneficial or detrimental ecological and socioeconomic effects and people, in turn, shape invasions through their movements, behaviour and how they respond to the collection, transport, introduction and spread of non-natives. The feedbacks that stem from this ‘coupled human and natural system’ (CHANS) could therefore play a key role in mitigating (i.e. negative feedback loops) or exacerbating (i.e. positive feedback loops) ongoing and future invasions. We posit that the invasion process could be subdivided into three CHANS that span from the source region from which non-natives originate to the recipient region in which they establish and spread. We also provide specific examples of feedback loops that occur within each CHANS that have either reduced or facilitated new introductions and spread of established non-native species. In so doing, we add to exisiting invasion frameworks to generate new hypotheses about human-based drivers of biological invasions and further efforts to determine how ecological outcomes feed back into human actions.

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A framework to support alien species regulation: the Risk Analysis for Alien Taxa (RAAT)

Cited by 39 publications

References 61 publications

Ranking alien species based on their risks of causing environmental impacts: A global assessment of alien ungulates

Ranking alien species based on their risks of causing environmental impacts: A global assessment of alien ungulates

Appropriate uses of EICAT protocol, data and classifications

Reciprocal human-natural system feedback loops within the invasion process

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