A peer-reviewed open-access journal

NeoBiota 62: |—30 (2020)

doi: 10.3897/neobiota.62.58738 @) NeoBiota

http:/ / neob iota. pen soft. net Advancing research on alien species and biological invasions

Frameworks used in invasion science: progress and prospects

John R.U. Wilson!?, Sven Bacher’, Curtis C. Daehler*, Quentin J. Groom?®, Sabrina Kumschick!', Julie L. Lockwood®, Tamara B. Robinson?, Tsungai A. Zengeya'’, David M. Richardson?

| South African National Biodiversity Institute, Kirstenbosch Research Centre, Cape Town, South Africa 2 Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Stellenbosch, South Africa 3 Department of Biology, Unit Ecology & Evolution, University of Fribourg, Chemin du Musée 10, 1700 Fribourg, Switzerland 4 School of Life Sciences, University of Hawaii at Manoa, Honolulu, Hawaii, USA 5 Meise Botanic Garden, Meise, Belgium 6 Ecology, Evolution and Natural Resources, Rutgers University, New Brunswick, New Jersey, USA 1 Centre for Invasion Biology, Department of Zoology and Entomology, University of Pretoria, Pretoria, South Africa

Corresponding author: John R. U. Wilson (john.wilson2@gmail.com)

Received 17 September 2020 | Accepted 1 October 2020 | Published 15 October 2020

Citation: Wilson JRU, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM (2020) Frameworks used in invasion science: progress and prospects. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick $, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 1-30. https://doi.org/10.3897/neobiota.62.58738

Abstract

Our understanding and management of biological invasions relies on our ability to classify and conceptual- ise the phenomenon. This need has stimulated the development of a plethora of frameworks, ranging in na- ture from conceptual to applied. However, most of these frameworks have not been widely tested and their general applicability is unknown. In order to critically evaluate frameworks in invasion science, we held a workshop on ‘Frameworks used in Invasion Science’ hosted by the DSI-NRF Centre of Excellence for Invasion Biology in Stellenbosch, South Africa, in November 2019, which led to this special issue. For the purpose of the workshop we defined a framework as “a way of organising things that can be easily commu- nicated to allow for shared understanding or that can be implemented to allow for generalisations useful for research, policy or management”. Further, we developed the Stellenbosch Challenge for Invasion Science: “Can invasion science develop and improve frameworks that are useful for research, policy or management, and that are clear as to the contexts in which the frameworks do and do not apply?”. Particular considera- tions identified among meeting participants included the need to identify the limitations of a framework, specify how frameworks link to each other and broader issues, and to improve how frameworks can facili- tate communication. We believe that the 24 papers in this special issue do much to meet this challenge. The

papers apply existing frameworks to new data and contexts, review how the frameworks have been adopted

Copyright John R. U.Wilson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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and used, develop useable protocols and guidelines for applying frameworks to different contexts, refine the frameworks in light of experience, integrate frameworks for new purposes, identify gaps, and develop new frameworks to address issues that are currently not adequately dealt with. Frameworks in invasion science must continue to be developed, tested as broadly as possible, revised, and retired as contexts and needs change. However, frameworks dealing with pathways of introduction, progress along the introduction- naturalisation-invasion continuum, and the assessment of impacts are being increasingly formalised and

set as standards. This, we argue, is an important step as invasion science starts to mature as a discipline.

Keywords CBD introduction pathway classification framework, Environmental Impact Classification for Alien Taxa

(EICAT), invasive alien species, invasive species, Socio-Economic Impact Classification of Alien Taxa

(SEICAT), Unified Framework for Biological Invasions

The origins, purposes, and challenges facing frameworks in invasion science

The study of biological invasions has a rich history of developing and refining hypoth- eses, frameworks, theories, and other conceptual constructs with the aim of assisting with resolving particular problems and in some cases moving beyond case studies (ob- servations of a small number of invasive taxa, invaded habitats or invasion events) to ar- rive at generalisations or principles that apply more widely. These conceptual constructs often link insights from fundamental research to policy and management responses. Frameworks, in particular, are an important way to communicate concepts and ideas between people. As humans, we like to structure the world around us; to some extent frameworks are scientific models of how we think the world works that allow us to test our ideas, debate edge cases, and build new hypotheses. Just like any scaffolding, frameworks are intended to be built upon. Reviewing developments in “implementa- tion science”, Nilsen (2015) posits that a framework usually denotes “a structure, over- view, outline, system or plan consisting of various descriptive categories, e.g., concepts, constructs or variables, and the relations between them that are presumed to account for a phenomenon”. In this typology, frameworks are not explanatory but “only de- scribe empirical phenomena by fitting them into a set of categories”. Frameworks are especially useful when they are used to collate, organise, combine, simplify, and synthe- sise a large volume of new information; to classify and integrate insights from various perspectives and disciplines; to bridge gaps between science and policy and between disciplines; and to provide roadmaps to guide further research inquiries. These endeav- ours all rely on frameworks to circumscribe and classify the problem.

However, as invasion science originates from various discipline-specific questions and problems, attempts at circumscription and classification have arisen from multiple different origins. These differences in origin largely align with traditional disciplinary boundaries (zoology, botany, marine biology) and debates (e.g., utilisation vs. protec- tion or humans as a part of nature vs. humans as a threat to nature). In consequence, there are a plethora of terminologies, differences in emphasis, and similar ideas are ex- pressed in slightly different formats. Taking the development of hypotheses as an anal- ogy, many hypotheses used to explain aspects of biological invasions overlap, some are

Frameworks used in invasion science a

vague, and some can be collapsed to general ecological theories that need not be related to biological invasions at all (Catford et al. 2009; Enders et al. 2020). Furthermore, as only a few hypotheses in invasion science have attracted sustained attention, few hy- potheses have consistent and strong evidentiary support (Jeschke et al. 2012; Ricciardi et al. 2013; Traveset and Richardson 2020). As such, it is difficult to differentiate be- tween hypotheses that provide insights into the processes at play and those that should not be the basis for developing scientific models and management recommendations as they are misleading (Crystal-Ornelas and Lockwood 2020).

The challenge for those working on invasion frameworks is similar—that of demon- strating the utility of frameworks, being clear as to the contexts under which particular frameworks apply, and adapting (or abandoning) frameworks in response to new evi- dence or needs. Frameworks are needed both to address particular specific problems, to improve general understanding, and ideally to facilitate the transfer of lessons learnt from the general to specific and vice versa (Lawton 1996). This tension between generalisation and utility is crucial [cf. invasion syndromes for one practical approach of addressing it (Novoa et al. 2020)]. The context-dependency of the biological invasions phenomenon means there is substantial value in taking an idiographic approach, i.e., studying case by case to uncover mechanisms and consequences (Simberloff 2004); tailored frameworks can be very valuable in such cases. However, a major goal of some frameworks has been to facilitate generalisations and comparisons across scales, taxa, and biological realms, and more broadly to formalise frameworks as standards that are intended to be used by all stakeholders involved (Box 1). For example, the so called Unified Framework for Bio- logical Invasions aimed to link frameworks developed by botanists and zoologists (Black- burn et al. 2011); the EICAT impact classification framework (Blackburn et al. 2014), which has been recently adopted as a standard of the IUCN, aims to facilitate the meas- urement and reporting of invasive species impacts in a consistent manner (IUCN 2020) (Box 2); and the CBD has proposed an introduction pathway classification framework that bridges decades of debate on how invasive species are transported out of their native range (CBD 2014) (Box 3). These frameworks have been proposed to be incorporated into biodiversity standards (Groom et al. 2019) with a view to developing a standardised system for monitoring and reporting on biological invasions that can be applied across scales from local to global, across habitats from coral reefs to mountain tops, across taxa from fungi to ferns to frogs, and across pathways from hitchhikers on plastic debris to seeds sent through e-commerce (McGeoch and Jetz 2020). There is thus some evidence that invasion science is coalescing around a few frameworks and formalising them as standards (Boxes 1-3). However, the frameworks are still rarely explicitly used in practice (Wilson et al. 2020, this issue), and our experience when applying the most commonly cited frameworks to real data and situations has been that they are very useful but that there are a number of practical challenges to be resolved, some of which are fundamental to the field (see the section on “Putting frameworks to the test’ below).

So, are current frameworks fit for purpose? How do they perform in practice? Can they be adapted to deal with new contexts? Do they need to be revised and adapted to deal with new information? Can frameworks be linked together to facilitate the transfer of les- sons learnt from the general to the particular? What gaps are there that need addressing?

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Box |. Moving from frameworks to standards.

A framework, in the sense used here, provides a structure on which other ideas or applications are built. Frameworks can often be used flexibly, with details modified so they fit particular contexts (Wilson et al. 2020, this issue). However, for a framework to be a tool that is routinely used and shared, then definitions and terms need to be fixed, and, ideally, guidelines for use formalised. In such cases a framework becomes a standard. Adopting a standard has several advantages, notably that

it facilitates the exchange of data within science, represents an agreed basis for the communication of the issue to a wider community, and provides an incontrovertible basis for policy. Data standards allow us to aggregate, compare, communicate, validate, and share data. They may include entity relationships, term definitions, controlled vocabularies, and formats. They have to be used precisely if data are to be readable by a machine.

Frameworks and standards are both abstractions of the real world. The confrontation of a framework or standard with real world data can lead to the realisation that the framework or standard needs to be revised, that it only applies to specific contexts or that it is fundamentally not fit for purpose. However, while a framework might be informally updated or adapted to particular contexts, any change to a standard needs to be formally documented and ideally reviewed and discussed by other users, i.e., there should be a clear process for consulting on, and implementing, changes. There is thus an interplay of frameworks, standards, and the stakeholders using them that leads to an evolution of ideas and data (see Boxes 2, 3).

A leading organisation in the development of biodiversity standards is the Biodiversity Information Standards (https:// www.tdwg.org/). This organisation is a heterogeneous group of biodiversity data managers created in response to the need to manage biodiversity data. It liaises with a wide variety of international individuals and organisations, such as the Research Data Alliance (https://www.rd-alliance.org/), the International Union for Conservation of Nature (https://www.iucn.org/) and its Invasive Species Specialist Group (http://www.issg.org/), and the Global Biodiversity Information Facility (https:// www.gbif.org/).

Box 2. The IUCN’s Environment Impact Classification for Alien Taxa (EICAT)—a standard for categorising

alien species impact.

The EICAT can be used to classify alien taxa according to the magnitude of their impacts on native taxa, with impact magni- tude based on the organisational level in the affected community. Impact categories range from Minimal Concern to Massive (IUCN 2020). If only individual performance is affected, it is considered a Minor impact; if a native taxon is removed from the community (locally extinct or extirpated), it is considered Major or Massive, based on the reversibility of the change (IUCN 2020). For more details see IUCN (2020), Kumschick et al. (2020a, this issue), and Volery et al. (2020, this issue). The IUCN EICAT Standard is the product of a long process of developing and adapting frameworks to quantify impacts. EICAT has its origins in the Generic Impact Scoring System (GISS) which was first published by Nentwig et al. (2010). The idea of GISS was to develop a system capturing all kinds of impacts from all alien taxa and classifying them according to their magnitude. As the impacts of an increasing variety of taxa were scored using GISS, several issues emerged, including that the description of impact magnitudes was not always clear (Strubbe et al. 2011) and that the way scores were summed across different types of impact did not always make logical sense (Game et al. 2013). Blackburn et al. (2014) designed a new

framework to address these issues, specifically by providing consistent descriptions of impact magnitudes for different types

of environmental impact and by classifying taxa based on the maximum impact seen for any one type of impact.

In parallel to the development of these impact classification frameworks, the Parties to the CBD invited the IUCN SSC Invasive Species Specialist Group (ISSG) in 2014 “to develop a system for classifying invasive alien species based on the nature and magnitude of their impacts” (COP XII Decision 17), Guidelines were then developed for the application of the framework by Hawkins et al. (2015), and the name EICAT was suggested. The IUCN then conducted a global consultation process, developed a standard, and revised the guidelines in response to the comments and suggestions received. EICAT was also revised in the light of the experiences of those using it (e.g., Kumschick et al. 2017; Evans et al. 2018; Volery et al. 2020, this issue). A final version of the standard was accepted by the IUCN Council in February 2020, and the standard was launched and published in September 2020 (IUCN 2020).

Circumscribing the problem-the workshop

In light of rapid developments in the field, we decided it was important to take stock and assess the current state of frameworks used in invasion science. We invited a wide range of researchers focussing on biological invasions to a workshop to discuss, de- velop, and revise ideas. In particular, we asked prospective attendees to develop draft manuscripts before the meeting with the aim of formalising their thoughts and sharing

Frameworks used in invasion science 5

Box 3. The CBD’s pathway classification framework—a standard for classifying the pathways along which

alien species are introduced.

Similar to classifying impact (Box 2), the need to classify introduction pathways into a small number of practical categories to better communicate pathway information and improve the monitoring and regulation of those pathways has long been recognised (Puth and Post 2005; Lodge et al. 2006). In 2008, Hulme and others published a framework of six broad in- troduction pathways that endeavoured to be globally applicable, suitable for terrestrial and aquatic organisms, and relevant for policy and management. Parallel to this, the need to focus research and management to identify, prioritise, and manage pathways of invasive alien species was set as part of the Aichi Biodiversity Target 9 adopted by the CBD in 2010. To help fa- cilitate the achievement of this target, in 2014, the CBD proposed an introduction pathway classification framework that was developed based on extending the framework proposed by Hulme et al. (2008) to include sub-categories that could facilitate inclusion of data in other databases [in particular the Global Invasive Species Database, the Invasive Species Compendium (ISC) of CABI, Delivering Alien Invasive Species Inventories for Europe (DAISIE), and peer-reviewed literature (CBD 2014)]. A manual was produced in 2017 to assist users with interpreting the categories (Harrower et al. 2017).

The framework proposed by the CBD has been applied in numerous settings, not least to integrate pathway information across major alien species databases (Saul et al. 2017). However, to achieve this without manual intervention the vocabulary needs to be further formalised and incorporated into digital data standards, i.e., set as a formal standard rather than just a framework. As part of this, the Invasive Organism Information Task Group of the Biodiversity Information Standards or-

ganisation has proposed changes to the Darwin Core to incorporate pathway information (Groom et al. 2019) [the Darwin Core aims to provide a stable standard reference for sharing information on biological diversity (Wieczorek et al. 2012)]. This is not, however, the end of the story. New recommendations for changes will have to navigate the, often circuitous,

route to ratification (Pergl et al. 2020, this issue), and several major issues have emerged—the pathway framework is arguably Euro-centric in origin and use (Faulkner et al. 2020, this issue; Wilson et al. 2020, this issue), and the sub-categories do not have many of the desirable properties that an introduction pathway classification framework should have (Faulkner et al. 2020, this issue). So even after more than a decade, a high degree of consultation, and the framework verging on being adopted in a formal data standard used by the whole biodiversity community, the CBD’s introduction pathway classification framework is likely not appropriate to all contexts where it is intended to apply, and it might need a substantive overhaul if this were to be achieved.

them in advance of the discussions. The workshop itself, “Frameworks used in Inva- sion Science’, was held 11—13 November 2019 in Stellenbosch, South Africa, and was hosted by the DSI-NRF Centre of Excellence for Invasion Biology (for details of the workshop and how the special issue developed see Suppl. material 1).

One of the main areas of discussion at the workshop was to define what is meant by a framework and to clarify the overall aim of such a framework. It was felt that frameworks should be useful, and the broader, the better. However, generalisations are only worthwhile if they do not come at the cost of the utility of the framework for its original purpose. Frameworks are often used for purposes for which they were not ini- tially intended and in some cases for which they are not suited (see examples in Wilson et al. 2020, this issue). Frameworks created in one context and naively used in other contexts might mean important details are missed by those applying the frameworks or that the problem is made much more complicated than it actually is. In other words, the sensitivity and specificity of frameworks are not always clear.

Over the course of the workshop, the question “What is a framework?’ was repeat- edly debated, with such debate providing a valuable anchor for our discussions. We eventually settled on the following working definition:

A framework is a way of organising things that can be easily communicated to allow for shared understanding or that can be implemented to allow for generalisations useful for research, policy, or management.

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Building on this, we developed an overall goal of the workshop, dubbed ‘the Stel-

lenbosch Challenge for Invasion Science’:

Can invasion science develop and improve frameworks that are useful for research, policy or management, and that are clear as to the contexts in which the frameworks do and

do not apply?

Putting frameworks to the test

A major goal of the workshop was for participants to formalise their thoughts in manu- scripts, and to ‘stress-test’ the frameworks—indeed a survey conducted as part of this special issue found that while invasion scientists feel some of the major frameworks are very influential, the frameworks still lack serious critical examination (Wilson et al. 2020, this issue). The 24 papers in this special issue revisit many of the philosophical underpinnings and practical challenges associated with attempts to integrate, recon- cile, and synthesise thoughts and concepts in invasion science (Appendix 1).

In achieving these aims, this special issue, we argue, addresses the Stellenbosch Challenge. The papers address the utility of frameworks for research, policy, and man- agement; they clarify the contexts in which the frameworks do and do not apply; and they discuss how the frameworks need to be developed and improved to facilitate shared understanding. In particular, the special issue addresses all these above issues with respect to the rapidly developing field of impact assessment.

Can invasion science develop and improve frameworks that are useful for research...

Several of the papers show how frameworks can structure and guide research. Pysek et al. (2020, this issue) build on a rich literature on the macroecology of introductions, naturalisations, and invasions, to explicitly outline the factors that must be considered when studying invasions, viz. species, location, event, and their interactions. This high- lights that the required level of complexity has not often been adequately elucidated in previous macroecological analyses, leading to a high probability of spurious results. By contrast, Liebhold et al. (2020, this issue) propose a potential way to reduce complexity. They argue that the two basic processes of population growth and dispersal underlie sev- eral phases of the introduction-naturalisation-invasion continuum, which means that similar models can be used across scales and stages, thereby simplifying the problem. The value of rethinking biological invasions is also addressed by Hulme et al. (2020, this issue), who show how reconnecting invasion science to the rich theory in epidemiology can improve both understanding and management. They show how viewing habitats as hosts could potentially change the way we manage invasive species, and argue that concepts such as super-spreaders, herd immunity, ring vaccination, and cordon sanitaire are all promising areas for future applied research on biological invasions.

Frameworks used in invasion science rs

... policy...

Frameworks also provide valuable systematic means to phrase policy goals. At a broad level Ess] et al. (2020b, this issue) show how frameworks can underpin global goals and targets, specifically the proposed revised CBD biodiversity targets, and to ensure that the indicators to track such targets are based on agreed standards and methods. At a more local scale, Kumschick et al. (2020b, this issue) present a novel risk analysis framework that combines existing frameworks on impact assessment, pathway classifi- cation, and scoring of introduction status to produce a method that integrates interna- tional best practice with local contexts to provide recommendations for South African regulations. Datta et al. (2020, this issue) explore another policy area in more detail— how regulations should deal with taxa at levels other than the species, and in particular what is needed to regulate ‘safe’ cultivars of invasive horticultural plants. They develop the foundation on which a new framework to address this issue can be built.

...[and] management...

Many of the papers go beyond the policy arena and explicitly use frameworks to address pressing on-the-ground management issues. Bertolino et al. (2020, this issue) and Ziller et al. (2020, this issue) develop approaches to prioritising management efforts (for mam- mals in Italy and for control efforts in protected areas in Brazil respectively). Such prioriti- sation efforts build on information from risk and impact assessments and ecological stud- ies. In the same vein, Latombe et al. (2020, this issue) provide insights for the allocation of biosecurity resources across a network (e.g., of countries, islands or lakes) which is in the process of being invaded. They combine a framework considering categories of abun- dance and extent with a metapopulation model to show how the efficacy of management and synchronisation in management efforts together can reduce spread rates. Brock and Daehler (2020, this issue) tried to classify the whole alien flora of Hawai’i according to the Unified Framework for Biological Invasions (Blackburn et al. 2011). They found that while much of the framework is conceptually sound, in practice, and for management, some categories needed to be merged and new ones created. By combining the revised framework with information from risk assessments they propose a monitoring tool that is tailored to address the needs of managers in Hawai’i and likely other countries as well.

...and that are clear as to the contexts in which the frameworks do and do not apply?

The context dependency in invasions is not always well addressed by existing frame- works, but is an explicit focus of several papers in the special issue. Potgieter and Cadotte (2020, this issue) examine the ‘urban effect’ on invasions within the context of existing frameworks, both by demonstrating how different barriers to invasions tend to be weaker in cities and how the impacts differ. Paap et al. (2020, this issue)

8 John R.U. Wilson et al. / NeoBiota 62: 1-30 (2020)

explore available frameworks in invasion science in the context of forest pathology. They found that most studies of forest pathogens have been undertaken without any connection with, or consideration of, the frameworks of invasion science. They argue that this is a consequence of the mechanistic approach required in forest pathology to investigate specific interactions between hosts and pathogens, the aim being to control resulting disease problems. In terms of pathways, Pergl et al. (2020, this issue) test the utility of the CBD pathway classification in Europe and demonstrate how recently published guidelines provide clarity and can improve the usefulness of the framework. However, Faulkner et al. (2020, this issue) found that while the main categories of the CBD pathway framework have many desirable features, the sub-categories are not useful; they note that the current framework performs poorly in some non-European settings. [hey propose a hybrid approach, using broad categories for global generalisa- tions and reporting, and context-specific categories to serve local needs and purposes.

A framework is a way of organising things that can...allow for shared understanding

A notable emerging feature of this special issue is that while the papers cover a wide range of topics, taxa, habitats, and environments, there is some evidence of a growing consensus. Together, the 24 papers of the special issue cite well over a thousand different publications, but many of the papers cite the same handful of frameworks (Fig. 1, Ap- pendix 1). The authors of this special issue are certainly not divided into distinct camps that use different frameworks. The leading frameworks are widely cited and highly influ- ential (Wilson et al. 2020, this issue). Moving forward, we posit that it is critical to ensure frameworks in invasions’ science are designed to also respond to the multitude of grow- ing, changing, and interacting global change drivers under which biological invasions are playing out. For example, Robinson et al. (2020, this issue) highlight how climate change will have dramatic and varied impacts on biological invasions that will require new ways of thinking, emphasising the imperative of collecting foundational data and monitoring change. And, as outlined by Sinclair et al. (2020, this issue), frameworks should be explic- it in how humans affect biological invasions, and how biological invasions affect humans.

A developing standard for impact assessments

One of the major criticisms of invasion science has been that, at least historically, assessments of ‘impact’ magnitude have been subjective. However, recent developments in the field are explicitly addressing this (Simberloff et al. 2013; Blackburn et al. 2014; Bacher et al. 2018; Ireland et al. 2020). One of the main focus areas of the special issue, and one that cuts across the themes above, is the need to standardise impact assessments. Kumschick et al. (2020a, this issue) provide important insights on the dos and don'ts when using EICAT. Volery et al. (2020, this issue) build on the developing global experiences of applying EICAT and on feedback that emerged from an extensive [UCN consultation exercise to update guidelines for using EICAT:! Probert et al. (2020, this issue) provide recommendations on how to cate-

Frameworks used in invasion science 9

gorise uncertainty in ICAT assessments (i-e., both EICAT and SEICAT). Invasion scientists appreciate the benefits alien species provide to society (Ewel et al. 1999). However, for prac- tical purposes, most impact assessments focus on negative impacts. Vimercati et al. (2020, this issue) examine which frameworks in invasion science have considered positive impacts of alien taxa and argue that a systematic understanding of all types of impact is important for management and regulatory decisions. The test of such frameworks is, of course, when they are applied in practice. Van der Colff et al. (2020, this issue), using data on gastropods, demonstrate how EICAT assessments and Red List assessments provide complementary information valuable to evaluations of the impact of biological invasions on native biodiver- sity; they recommend that both should be used to inform policy and management decisions.

The more one looks, the more impacts are found

Evans et al. (2020, this issue) apply SEICAT to alien bird impacts and Measey et al. (2020, this issue) update EICAT and SEICAT assessments for amphibians providing the first detailed assessment of the cost of the research on which impact assessments are based. They both show that data on impact are limited and that varying levels of data availability have the potential to create biases—if an invasion is poorly studied (e.g., due to a lack of resources to conduct a detailed investigation of impact) the current recorded impact will likely be considered to be lower than it ac- tually is. However, both studies agree that a major benefit of the ICAT frameworks is that they make data needs explicit; they also show that these frameworks serve an important function in directing and guiding research. On this point, Kumschick et al. (2020a, this issue) recommend that decision makers should use EICAT in con- junction with information on how likely it is that current recorded impact is un- derreported or the likelihood of significant increases in negative impacts in future.

A hierarchy of frameworks

While each paper in the special issue tackles specific parts of the Stellenbosch Challenge and draws from particular frameworks (Appendix 1), the frameworks themselves are not explicitly linked. At the workshop there was substantial discussion on whether the Stellenbosch Challenge could be satisfied by the creation of a single all-encompassing framework. However, there was general consensus that the frameworks do not always align, nor should they be forced to do so (cf. the comparison of EICAT and the Red List by Van der Colff et al. 2020, this issue). There was agreement that it is more real- istic to aim for a hierarchy of frameworks where important contextual detail is nested within the overarching ideas, rather than aiming for an ‘tiber-framework’ that tries to embrace all contexts. The analogy with hypotheses in invasion science is again perti- nent. Jeschke and Heger (2018) very elegantly demonstrate the value of the hierarchy of hypotheses approach to organise ideas within invasion science. A similar approach to frameworks in invasion science would help clarify how frameworks constructed to re-

10 John R.U. Wilson et al. / NeoBiota 62: 1-30 (2020)

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spond to particular needs or contexts are related to each other, how they can share ideas and approaches, and to identify gaps where new frameworks might be valuable. We present a tentative sketch of the inter-connection of existing frameworks in Figure 2. At a broad scale (Fig. 2A), frameworks in invasion science should link to other drivers of global change (Robinson et al. 2020, this issue, #18 on Fig. 2A), other areas of biological research (7. Hulme et al. 2020, this issue; 13. Paap et al. 2020, this issue), and to societal issues more generally (15. Potgieter and Cadotte 2020, this issue). These linkages can be made within the understanding that biological invasions can be viewed through the prism of pathways, species or sites (4. Essl et al. 2020b, this issue). These linkages can also be made recognising that the phenomenon involves bio-geographical and ecological processes (e.g., the introduction-naturalisation-invasion continuum), that there are environmental and societal impacts (e.g., the ICAT frameworks), and

Frameworks used in invasion science 11

Figure |. A citation network of papers within this special issue. Each node represents an article, with the node radius proportional to the number of citations. Citations between papers within the special issue have been excluded, and this editorial was not included at all. Numbered nodes are papers in the special issue (Appendix 1) and lettered nodes are the 15 articles that were cited six or more times in the network. The colours represent different modularity classes of the network (the light green one appears to be related to impact assessments). Of the 1520 papers cited 87.2% were only cited by one paper in special issue, and less than 1% were cited by four papers. This network can thus be seen as indicative of a wide-ranging field linked by a few key frameworks, though the nature of the special issue and the authors involved means there are some significant biases and self-selections occurring (which, we expected, would have biased the network towards being more connected than it would otherwise be). The network was built in Gephi (0.9.2). A Bacher et al. (2018), Socio-economic impact classification of alien taxa (SEICAT); https://doi. org/10.1111/2041-210X.12844 B Blackburn et al. (2011); A proposed unified framework for biological invasions; https://doi.org/10.1016/j.tree.2011.03.023 C Blackburn et al. (2014); A Unified Classifica- tion of Alien Species Based on the Magnitude of their Environmental Impacts; https://doi.org/10.1371/ journal.pbio.1001850 D Evans et al. (2016); Application of the Environmental Impact Classification for Alien Taxa (EICAT) to a global assessment of alien bird impacts; https://doi.org/10.1111/ddi.12464 ental Impact Classification for Alien Taxa (EICAT); https://doi.org/10.1111/ddi.12379 F Hulme et al. (2008); Grasping at the routes of biological invasions: a framework for integrating pathways into policy; https://doi.org/10.1111/j.1365-2664.2007.01442.x G Latombe et al. (2017); A vision for global moni- toring of biological invasions; https://doi.org/10.1016/j.biocon.2016.06.013 Ht McGeoch et al. (2016); Prioritizing species, pathways, and sites to achieve conservation targets for biological invasion; https://doi. org/10.1007/s10530-015-1013-1 I Nentwig et al. (2016); The generic impact scoring system (GISS): a standardized tool to quantify the impacts of alien species; https://doi.org/10.1007/s10661-016-5321-4 J Richardson et al. (2000); Naturalization and invasion of alien plants: concepts and definitions; https:// doi.org/10.1046/j.1472-4642.2000.00083.x K Seebens et al. (2017); No saturation in the accumulation of alien species worldwide; https://doi.org/10.1038/ncomms14435 L Wilson et al. (2009); Something in the way you move: dispersal pathways affect invasion success; https://doi.org/10.1016/j.tree.2008.10.007 M PySek et al. (2008); Geographical and taxonomic biases in invasion ecology; https://doi.org/10.1016/j. tree.2008.02.002 N Kesner and Kumschick (2018); Gastropods alien to South Africa cause severe envi- ronmental harm in their global alien ranges across habitats; https://doi.org/10.1002/ece3.4385 O Har-

rower et al. (2017); Guidance for interpretation of CBD categories on introduction pathways.

that biological invasions pose societal challenges that require political and management responses. These three issues (biogeography, impacts, and interventions) arguably form the core of invasion science (Fig. 2B). However, these issues are not always congru- ent. For example, while impact, abundance, and geographical distribution are often correlated, alien species can have massive negative impacts without forming a natural- ised or invasive population (Ricciardi et al. 2013), and widespread, abundant invaders [‘successful’ as per 10. Latombe et al. (2020, this issue)] might have negative impacts scored as Minor or Minimal Concern under the ICAT frameworks (Ricciardi and Cohen 2007). Also, while pathways of introduction represent an important elucidation of the first stage of the invasion process, they do not necessarily map neatly on to pathways of spread within a region (6. Faulkner et al. 2020, this issue; 14. Pergl et al. 2020, this issue, 11. Liebhold et al. 2020, this issue). It is important, therefore, to ensure that the domain of applicability and relevance of each framework is clear, and that if linkages are made

12 John R.U. Wilson et al. / NeoBiota 62: 1-30 (2020)

these are done without compromising the original purpose for which the framework was constructed. As an example, a recent effort to link interventions to the introduction- naturalisation-invasion continuum forces management terms on to invasion stages and barriers, conflates activities, goals, and objectives, and in so doing neglects the primary purposes of the framework, which is to facilitate interventions (Robertson et al. 2020).

Finally, it is important to zoom into on-the-ground management needs to ensure that there are frameworks that can be used to improve our understanding and management of particular issues (one example is shown in Fig. 2C). Context-specific frameworks are need- ed: for management prioritisation in Italy and Brazil (1. Bertolino et al. 2020, this issue; 24. Ziller et al. 2020, this issue); to support decisions regarding the listing of alien species under South African regulations (9. Kumschick et al. 2020b, this issue); to provide clarity regard- ing the risks and appropriateness of regulating horticultural cultivars (3. Datta et al. 2020, this issue); and to ensure that the monitoring of alien plant species in Hawai'i is relevant to management (2. Brock and Daehler 2020, this issue). It might be possible to extend such frameworks to similar contexts, but ultimately if those frameworks are not well suited to the problem they were designed to address, then they need to be adapted or abandoned.

The need to zoom in and out to different spatial or thematic scales is currently be- ing developed further by workshop participants with a view to producing a hierarchy of frameworks. Parallel to this work, workshop participants are reviewing the history of frameworks in invasion science and developing a typology to classify them. Finally, participants felt a natural conclusion of the workshop would be to refine and recast some existing frameworks. Specifically, participants suggested that the frameworks used to classify populations according to their stage along the introduction-naturali- sation-invasion continuum (Blackburn et al. 2011) and the CBD’s introduction path- way classification framework (Box 3) deserved renewed attention. We believe that this special issue provides a necessary precursor to these important products.

Gaps

We could, of course, not address all issues related to invasion frameworks at the workshop or in this special issue. There are notable gaps in the implementation of existing frameworks that deserve much more attention, for example the need for: frameworks to be modified so that they are relevant to different ecological contexts (e.g., freshwater, marine, micro-organisms); a way to incorporate expert opinion in transparent and standardised ways; and methods to apply frameworks when biogeographic and administrative boundaries do not align. There is also a need to consider if existing frameworks can be applied to address broader issues such as invasions at the gene level and range shifts resulting from climate change or other human modifications of the environment (e.g., managed relocation, assisted migrations). These gaps in the ability of frameworks to deal with different contexts impact our ability to monitor and report on invasions [e.g., see Zengeya and Wilson (in press) for South Africa].

Biological invasions are a central factor in global environmental change as they impact, and are impacted by, climate, ecosystem functions and services, and species extinction (Vitousek et al. 1997; Ricciardi et al. 2017). One potential avenue for further work is to try to link frameworks in

Frameworks used in invasion science

A) Invasion science in context

Economics

Agricultural science

History

Human behaviour

Epidemiology

Macroecology

Ecology

B) The core of invasion science Interventions

Inputs—Activities

i , } Interventions

or \

Ss. % we

(The introduction-naturalisation- invasion continuum, aka. the Unified

13

Restoration

Ecology Conservation

Biology

Climate science

Pathways Impacts

Invasion Science

ie

2 / ¢ s

gi

Evolution

Urban

planning The INI

continuum

Forest Pathology

The INI continuum

12,16] Impacts

(EICAT, SEICAT, and positive impacts) Framework)

BE: ¥ ! Pathway management

Transport : | | Negligible impacts (MC)

t : Species management

! Site management it i

GEOGRAPHY >

! Livelihood enhancements and i ae H | Policy and legislation (incl. planning) H ! Capacity building H ' Education & awareness raising H

CAPTIVITY or | CULTIVATION

| | Effects on individuals or

Introduction ' | ease of activities (MN)

>

1 Re search (incl. monitoring and surveillance) ea

Outputs

+ | SURVIVAL

1 | Changes in populations ' || and activities (MO)

| Ul Seseasou! adueys-days

! Reduction in propagule / colonisation pressure it | Reduction in size or extent of invasions 1 ; Improved detection rates

REPRODUCTION

Establishment ! } H 1 | Reversible changes in * | communities or activities

: | Increased awareness and capacity for research 1 | and management H

Outcomes—Goals | Prevention ' Eradication ' H Reduction in spread rates (containment)

DISPERSAL

ENVIRONMENTAL

i i | (MR)

1 | Irreversible changes in : 1 | communities or activities + | (MV)

{| Impact reduction | Sustain able use

C) On-the-ground details

The INI continuum

GEOGRAPHY =)

New Zealand’s biosecurity surveillance system

Transport

Risk reduction and trade facilitation activities,

7 ‘Atborder {international Patray ik ible boreahalg stander Response plan ‘strani intemal border and pathway management th noo ysis te rent

The Convention on Biological Diversity’s proposed introduction pathway classification framework

Pathway sub-categories

(7) Bisagiel conro, a Siabiieaion & barriers: @) Bippeddan duce ne Wexca ck were (6) Conservation in vale: (7) Other

(Nits Cala en CMa ET ie

Raper Mnaanrat ge hee Soke Fur farms: (8) Horticulture; (8) Ornamental; (10) Research; (11) Live food & live bait; (12) Other escape

i) Nursery material contaminant; (2) Balt contaminant (3) Food contaminant: (4) Contaminant

ORLA Ue San eee Pea oes (4) Ship excluding ballast water & hull fog 6) Mac! hinery & equipment; (6) People & Packing material; (8) Ballast water; (8)

ai ting. (10) Land vehicles: (14) Other stowaway

Increasing human role

(i Canals & arlifical waterways (2) Tunnels & bridges

Figure 2. A tentative hierarchical structure linking frameworks in invasion science. Three levels are pro-

posed here, though details at the finest level are only shown for one component—the part of the Unified

Framework that addresses transport across the geographic barrier. Numbers represent papers in the special

issue as per Appendix 1 and are placed according to how they fit in with the existing frameworks. Papers

touch on multiple aspects and different hierarchical levels. However, each paper is only indicated once on

the diagram at the place we feel it contributes the most; except for 19. Sinclair et al., which, to highlight

how some studies are cross-cutting, is plotted on levels A and B, and, as the paper also discusses how the

transport process should be viewed as a coupled-human natural system (CHANS), it could arguably have

been plotted on level C as presented here as well. At level B (the core of invasion science), there are well

established frameworks for the impacts of species and the introduction-naturalisation-invasion continuum,

but there are no equivalent well recognised frameworks for interventions (or the impacts on sites). The

intervention activities shown are based on the categories used by the Cambridge Conservation Forum

framework for evaluating projects with the addition of a pathway management activity (Kapos et al. 2008).

14 John R.U. Wilson et al. / NeoBiota 62: 1-30 (2020)

invasion science more clearly to broader issues within conservation biology, community ecology, evolutionary biology, and global environmental change. Similarly, alien species are now regularly incorporated into foundational ecological and evolutionary science as ‘probes’ that can effectively test core tenets in these fields (e.g, Strauss et al. 2006; Vellend et al. 2007; Guisan et al. 2014) and ‘biological assays’ to test dominant paradigms in biogeography (Rouget et al. 2015). If invasion frameworks are to facilitate interdisciplinarity they must be clearly articulated by invasion scientists in collaboration with researchers in other fields to ensure that the definitions and processes that these frameworks capture can be understood and adopted across the various disciplines. However, of the ~110 authors of this special issue, we estimate around 70% would describe themselves as having biological invasions as a main interest or responsibility and about two-thirds are primarily based at a university. All but a handful are ecologists, highlighting the ongoing need for better inte- gration with other disciplines and the social sciences in particular. When invasion frameworks do not successfully bridge disciplines and provide a link between research and implementation, then it seems inevitable that there will be points of confusion and tension (Richardson and Ricciardi 2013), leading to the reinvention or ‘creative’ use of terminology within allied fields (Essl et al. 2020a; Wilson 2020), and lost opportunities for reciprocal advancement in knowledge (Hulme 2014). We see this articulation between disciplines using invasion frameworks as particularly per- tinent given the expected massive shift in species ranges due to climate change and the increasing frequency with which we are confronted with emerging infectious diseases in human and non- human populations (Ogden et al. 2019; Nunez et al. 2020).

Finally, if, as per our working definition, a framework should “.. .be easily communicated to allow for shared understanding...” then at least some frameworks should also be valuable aids for communicating between invasion scientists and the people and industries that are impacted (negatively and positively) by alien species. Arguably, one of the most effective com- munication tools in invasion science is the invasion curve [The invasion curve is a roughly logistic shaped curve of ‘area infested’ or something similar plotted against time. It is split into different stages with different management actions highlighted. It is perhaps best exemplified by the version of the Department of Primary Industries (2010)]. However, this simplifies the issue and so is not useful as a framework in practice. Similarly, the impact equation of Parker et al. (1999) captures the essence of the problem—impact is the product of the range size of a species, its abundance per unit area, and the effect per individual or per biomass unit—but is also not easy to implement in practice (Blanchard et al. 2011). Many frameworks within the field of invasion science might be primarily about facilitating communication between invasion scientists, however it will be valuable to also have frameworks that clarify key aspects of biological invasions in a way that links the ‘nuts and bolts’ of invasions with societal priori- ties, and to create or modify frameworks in invasion science so they are easily understood not just by scientists, policy makers, and managers, but also by broader stakeholders.

Conclusion

It appears from the set of articles in this special issue that invasion science is maturing as a distinct discipline. The process of developing, refining, and increasingly implementing frameworks suggests the field is moving from ‘storming’ to ‘norming’ [to paraphrase a

Frameworks used in invasion science 15

framework from psychology (Tuckman 1965)]. If we assume that trends in globalisa- tion will continue, as seems almost certain, there is now strong evidence that the taxo- nomic variety and number of species that have the opportunity to establish as aliens somewhere on Earth will continue to rise (Seebens et al. in press). In this context, frame- works in invasion science should be viewed as tools that are worthwhile only if they are used and are useful. It is important that frameworks are increasingly tested (be it within policy, research or management settings) and any limitations clearly shared with others in and outside the field. We suspect that the overriding importance of context in inva- sion science will continue to be the rule rather than the exception, and that frameworks will need to adapt to these contingencies to remain useful. We consider this approach to be encompassed by the ‘Stellenbosch Challenge for Invasion Science’. We believe the articles within this special issue (Appendix 1) show how responding to this challenge can improve our understanding of, and responses to, biological invasions.

Postscript

The urgent need to reduce carbon emissions meant that several people decided not to attend the workshop in person. Moreover, the review and revision of the articles pub- lished in this special issue happened against the backdrop of the COVID-19 pandemic (Nunez et al. 2020). While face-to-face workshops like the one described here might be less common in future, we hope that they will soon be possible again. A beautiful venue, good food, and stimulating company will not resolve biological invasions, but they make the process that bit more enjoyable (Figure 3).

Acknowledgements

This special issue emerged from the workshop ‘Frameworks used in Invasion Science’ hosted by the DSI-NRF Centre of Excellence for Invasion Biology in Stellenbosch, South Africa, 11-13 November 2019, that was supported by the National Research Foundation of South Africa and Stellenbosch University. We thank all the workshop participants, those who contributed but could not attend, and all those who reviewed manuscripts for their ideas, inspiration, and hard work. Tumeka Mbobo and the staff of the CIB, espe- cially Jean Lategan, are thanked for their help in planning and running the workshop and the special issue. We would also like to thank the teams at Pensoft for their tireless work. DMR acknowledges support from the Oppenheimer Memorial Trust (grant 18576/03). JRUW, SK, and TAZ thank the South African Department of Forestry, Fisheries, and the Environment (DFFtE) for funding, noting that this publication does not necessarily rep- resent the views or opinions of DFFtE or its employees. QG thanks the Belgian Science Policy Office's Brain program (BelSPO BR/165/A1/TrIAS) and the visiting fellowship programme of the DSI-NRF Centre of Excellence for Invasion Biology for funding. SB thanks the University of Fribourg for funding. Dan Simberloff, Ingolf Kiihn, and Phil

Hulme provided valuable comments on a draft of this editorial.

16 John R.U. Wilson et al. / NeoBiota 62: 1-30 (2020)

Figure 3. Workshop attendees benefitting from the shade of an alien Eucalyptus sp. on a transformed lawn.

References

Bacher S, Blackburn TM, Essl F, Genovesi P, Heikkila J, Jeschke JM, Jones G, Keller R, Kenis M, Kueffer C, Martinou AK, Nentwig W, Pergl J, Pysek P, Rabitsch W, Richardson DM, Roy HE, Saul W-C, Scalera R, Vila M, Wilson JRU, Kumschick S (2018) Socio-economic impact classification of alien taxa (SEICAT). Methods in Ecology and Evolution 9: 159- 168. https://doi.org/10.1111/2041-210X.12844

Bertolino S, Ancillotto L, Bartolommei P, Benassi G, Capizzi D, Gasperini S, Lucchesi M, Mori E, Scillitani L, Sozio G, Falaschi M, Ficetola GE, Cerri J, Genovesi P, Carnevali L, Loy A, Monaco A (2020) A framework for prioritising present and potentially invasive mammal species for a national list. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 31-54. https://doi.org/10.3897/neobiota.62.52934

Bestelmeyer BT, Ash A, Brown JR, Densambuu B, Fernandez-Giménez M, Johanson J, Levi M, Lopez D, Peinetti R, Rumpff L, Shaver P (2017) State and transition models: theory, applications, and challenges. In: Briske DD (Ed) Rangeland Systems: Processes, Manage- ment and Challenges. Springer International Publishing, Cham, 303-345. https://doi. org/10.1007/978-3-319-46709-2_9

Blackburn TM, Essl K Evans T; Hulme PE, Jeschke JM, Kiihn I, Kumschick S$, Markova Z, Mrugata A, Nentwig W, Pergl J, PySek P, Rabitsch W, Ricciardi A, Richardson DM, Sendek A, Vila M, Wilson JRU, Winter M, Genovesi P, Bacher S (2014) A unified classification of alien species based on the magnitude of their environmental impacts. Plos Biology 12:

e1001850. https://doi.org/10.1371/journal.pbio. 1001850

Frameworks used in invasion science 17

Blackburn TM, PySek P, Bacher S, Carlton JT, Duncan RP, Jarosik V, Wilson JRU, Richardson DM (2011) A proposed unified framework for biological invasions. ‘Trends in Ecology & Evolution 26: 333-339. https://doi.org/10.1016/j.tree.2011.03.023

Blackwood JC, Childs LM (2018) An introduction to compartmental modeling for the bud- ding infectious disease modeler. Letters in Biomathematics 5: 195-221. https://doi. org/10.30707/LiB5.1 Blackwood

Blanchard R, Richardson DM, O'Farrell PJ, von Maltitz GP (2011) Biofuels and biodiversity in South Africa. South African Journal of Science 107: 19-26. https://doi.org/10.4102/ sajs.v107i5/6.186

Brock KC, Daehler CC (2020) Applying an invasion and risk framework to track non-native island floras: a case study of challenges and solutions in Hawai'i. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Rich- ardson DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 55-79. https://doi. org/10.3897/neobiota.62.52764

Catford JA, Jansson R, Nilsson C (2009) Reducing redundancy in invasion ecology by integrat- ing hypotheses into a single theoretical framework. Diversity and Distributions 15: 22—40. https://doi.org/10.1111/j.1472-4642.2008.0052 1.x

CBD (2014) Pathways of introduction of invasive species, their prioritization and manage- ment. UNEP/CBD/SBSTTA/18/9/Add.1. Montreal, 18 pp.

Christie AP Amano T, Martin PA, Shackelford GE, Simmons BI, Sutherland WJ (2019) Sim- ple study designs in ecology produce inaccurate estimates of biodiversity responses. Journal of Applied Ecology 56: 2742-2754. https://doi.org/10.1111/1365-2664.13499

Colautti RI, Grigorovich IA, Maclsaac HJ (2006) Propagule pressure: a null model for biological invasions. Biological Invasions 8: 1023-1037. https://doi.org/10.1007/s10530-005-3735-y

Crystal-Ornelas R, Lockwood JL (2020) The ‘known unknowns of invasive species impact measure- ment. Biological Invasions 22: 1513-1525. https://doi.org/10.1007/s10530-020-02200-0

Daehler CC, Denslow JE, Ansari S, Kuo H-C (2004) A risk-assessment system for screening out invasive pest plants from Hawaii and other Pacific Islands. Conservation Biology 18: 360-368. https://doi.org/10.1111/j.1523-1739.2004.00066.x

Datta A, Kumschick S, Geerts $, Wilson JRU (2020) Identifying safe cultivars of invasive plants: six questions for risk assessment, management, and communication. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 81—97. https://doi.org/10.3897/neobiota.62.51635

Department of Primary Industries (2010) Invasive plants and animals: policy framework. Vic- toria Department of Primary Industries, Melbourne, Australia.

Enders M, Havemann F, Ruland F, Bernard-Verdier M, Catford JA, Gémez-Aparicio L, Haider S, Heger T, Kueffer C, Kiihn I, Meyerson LA, Musseau C, Novoa A, Ricciardi A, Sagouis A, Schittko C, Strayer DL, Vila M, Essl F Hulme PE, van Kleunen M, Kumschick S, Lock- wood JL, Mabey AL, McGeoch MA, Palma E, PySek P, Saul W-C, Yannelli FA, Jeschke JM (2020) A conceptual map of invasion biology: Integrating hypotheses into a consensus net- work. Global Ecology and Biogeography 29: 978-991. https://doi.org/10.1111/geb.13082

Essl F, Dullinger S, Genovesi P, Hulme PE, Jeschke JM, Katsanevakis S, Kiihn I, Lenzner B, Pauchard A, Pysek P, Rabitsch W, Richardson DM, Seebens H, Van Kleunen M, Van

18 John R.U. Wilson et al. / NeoBiota 62: 1-30 (2020)

der Putten WH, Vila M, Bacher S (2020a) Distinct Biogeographic Phenomena Require a Specific Terminology: A Reply to Wilson and Sagoff. Bioscience 70: 112-114. https://doi. org/10.1093/biosci/biz161

Essl F, Latombe G, Lenzner B, Pagad S, Seebens H, Smith K, Wilson JRU, Genovesi P (2020) The Convention on Biological Diversity (CBD)’s Post-2020 target on invasive alien spe- cies what should it include and how should it be monitored? In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Rich- ardson DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 99-121. https:// doi.org/10.3897/neobiota.62.53972

Evans T, Blackburn TM, Jeschke JM, Probert AF, Bacher S (2020) Application of the Socio- Economic Impact Classification for Alien Taxa (SEICAT) to a global assessment of alien bird impacts. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S$, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM (Eds) Frameworks used in Invasion Sci- ence. NeoBiota 62: 123-142. https://doi.org/10.3897/neobiota.62.51150

Evans T, Kumschick S, Blackburn TM (2016) Application of the Environmental Impact Clas- sification for Alien Taxa (EICAT) to a global assessment of alien bird impacts. Diversity and Distributions 22: 919-931. https://doi.org/10.1111/ddi.12464

Evans T, Kumschick S, Sekercioglu CH, Blackburn TM (2018) Identifying the factors that determine the severity and type of alien bird impacts. Diversity and Distributions 24: 800-810. https://doi.org/10.1111/ddi.12721

Ewel JJ, O’Dowd DJ, Bergelson J, Daehler CC, D’Antonio CM, Gomez LD, Gordon DR, Hobbs RJ, Holt A, Hopper KR, Hughes CE, LaHart M, Leakey RRB, Lee WG, Loope LL, Lorence DH, Louda SM, Lugo AE, McEvoy PB, Richardson DM, Vitousek PM (1999) Deliberate introductions of species: Research needs - Benefits can be reaped, but risks are high. Bioscience 49: 619-630. https://doi.org/10.2307/1313438

Faulkner KT, Hulme PE, Pagad S, Wilson JRU, Robertson MP (2020) Classifying the intro- duction pathways of alien species: are we moving in the right direction? In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 143-159. https://doi.org/10.3897/neobiota.62.53543

Game ET, Kareiva P, Possingham HP (2013) Six Common Mistakes in Conservation Priority Setting. Conservation Biology 27: 480-485. https://doi.org/10.1111/cobi.12051

Groom Q, Desmet P, Reyserhove L, Adriaens T, Oldoni D, Vanderhoeven S, Baskauf SJ, Chap- man A, McGeoch M, Walls R, Wieczorek J, Wilson JRU, Zermoglio PFE Simpson A (2019) Improving Darwin Core for research and management of alien species. Biodiversity Information Science and Standards 3: e38084. https://doi.org/10.3897/biss.3.38084

Guisan A, Petitpierre B, Broennimann O, Daehler C, Kueffer C (2014) Unifying niche shift studies: insights from biological invasions. Trends in Ecology & Evolution 29: 260-269. https://doi.org/10.1016/j.tree.2014.02.009

Harrower CA, Scalera R, Pagad S, Schénrogge K, Roy HE (2017) Guidance for interpretation of CBD categories on introduction pathways. Technical note prepared by IUCN for the European Commission, 100 pp.

Hawkins CL, Bacher S, Ess! EK Hulme PE, Jeschke JM, Kithn I, Kumschick S, Nentwig W, Pergl J, PySek P, Rabitsch W, Richardson DM, Vila M, Wilson JRU, Genovesi P, Black-

Frameworks used in invasion science 19

burn TM (2015) Framework and guidelines for implementing the proposed IUCN Envi- ronmental Impact Classification for Alien Taxa (EICAT). Diversity and Distributions 21: 1360-1363. https://doi.org/10.1111/ddi.12379

Hengeveld R (1989) Dynamics of biological invasions. Chapman & Hall, London.

Howard PL (2019) Human adaptation to invasive species: A conceptual framework based on a case study metasynthesis. Ambio 48: 1401-1430. https://doi.org/10.1007/s13280-019- 01297-5

Hulme PE (2014) Bridging the knowing-doing gap: know-who, know-what, know-why, know-how and know-when. Journal of Applied Ecology 51: 1131-1136. https://doi. org/10.1111/1365-2664.12321

Hulme PE, Bacher S, Kenis M, Klotz S, Kiihn I, Minchin D, Nentwig W, Olenin S, Panov V, Pergl J, Pysek P, Roques A, Sol D, Solarz W, Vila M (2008) Grasping at the routes of biological invasions: a framework for integrating pathways into policy. Journal of Applied Ecology 45: 403-414. https://doi.org/10.1111/j.1365-2664.2007.01442.x

Hulme PE, Baker R, Freckleton R, Hails RS, Hartley M, Harwood J, Marion G, Smith GC, Williamson M (2020) The Epidemiological Framework for Biological Invasions (EFBI): an interdisciplinary foundation for the assessment of biosecurity threats. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 161-192. https://doi.org/10.3897/neobiota.62.52463

Ireland KB, van Klinken R, Cook DC, Logan D, Jamieson L, Tyson JL, Hulme PE, Worner S, Brockerhoff EG, Fletcher JD, Rodoni B, Christopher M, Ludowici VA, Bulman L, Teulon D, Crampton KA, Hodda M, Paini D (2020) Plant Pest Impact Metric System (PPIMS): Framework and guidelines for a common set of metrics to classify and prioritise plant pests. Crop Protection 128: 9. https://doi.org/10.1016/j.cropro.2019.105003

IUCN (2020) IUCN EICAT Categories and Criteria. The Environmental Impact Classifica- tion for Alien Taxa (EICAT) First edition. IUCN, Gland, Switzerland and Cambridge, UK. https://doi.org/10.2305/IUCN.CH.2020.05.en

IUCN Standards and Petitions Committee (2019) Guidelines for Using the IUCN Red List Categories and Criteria. Version 14. Prepared by the Standards and Petitions Committee. 113 pp. http://www.iucnredlist.org/documents/RedListGuidelines.pdf

Jeschke J, Heger T (Eds) (2018) Invasion Biology: Hypotheses and Evidence. CABI, 188 pp. https://doi.org/10.1079/9781780647647.0000

Jeschke JM, Gémez Aparicio L, Haider S, Heger T, Lortie CJ, Pysek P, Strayer DL (2012) Sup- port for major hypotheses in invasion biology is uneven and declining. Neobiota 14: 1-20. https://doi.org/10.3897/neobiota. 14.3435

Kapos V, Balmford A, Aveling R, Bubb P, Carey P, Entwistle A, Hopkins J, Mulliken T, Saf- ford R, Stattersfield A, Walpole M, Manica A (2008) Calibrating conservation: new tools for measuring success. Conservation Letters 1: 155-164. https://doi.org/10.1111/j.1755- 263X.2008.00025.x

Katsanevakis S, Wallentinus I, Zenetos A, Leppakoski E, Cinar ME, Ozturk B, Grabowski M, Golani D, Cardoso AC (2014) Impacts of invasive alien marine species on ecosystem services and biodiversity: a pan-European review. Aquatic Invasions 9: 391-423. https://

doi.org/10.3391/ai.2014.9.4.01

20 John R.U. Wilson et al. / NeoBiota 62: 1-30 (2020)

Kesner D, Kumschick S (2018) Gastropods alien to South Africa cause severe environmental harm in their global alien ranges across habitats. Ecology and Evolution 8: 8273-8285. https://doi.org/10.1002/ece3.4385

Kumschick S, Bacher S, Bertolino S, Blackburn TM, Evans T, Roy HE, Smith K (2020) Ap- propriate uses of EICAT protocol, data and classifications. In: Wilson JR, Bacher S, Dae- hler CC, Groom QJ, Kumschick $, Lockwood JL, Robinson TB, Zengeya TA, Richard- son DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 193-212. https://doi. org/10.3897/neobiota.62.51574

Kumschick S, Bacher S, Dawson W, Heikkila J, Sendek A, Pluess T; Robinson TB, Kuhn I (2012) A conceptual framework for prioritization of invasive alien species for management accord- ing to their impact. Neobiota 15: 69-100. https://doi.org/10.3897/neobiota. 15.3323

Kumschick S, Measey GJ, Vimercati G, de Villiers FA, Mokhatla MM, Davies SJ, Thorp CJ, Rebelo AD, Blackburn TM, Kraus F (2017) How repeatable is the Environmental Impact Classification of Alien Taxa (EICAT)? Comparing independent global impact assessments of amphibians. Ecology and Evolution 7: 2661-2670. https://doi.org/10.1002/ece3.2877

Kumschick S, Wilson JRU, Foxcroft LC (2020) A framework to support alien species regulation: the Risk Analysis for Alien Taxa (RAAT). In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 213-239. https://doi.org/10.3897/neobiota.62.51031

Latombe G, Essl KF McGeoch MA (2020) The effect of cross-boundary management on the trajectory to commonness in biological invasions. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 241-267. https://doi. org/10.3897/neobiota.62.52708

Latombe G, Pysek P, Jeschke JM, Blackburn TM, Bacher S, Capinha C, Costello MJ, Fernan- dez M, Gregory RD, Hobern D, Hui C, Jetz W, Kumschick $, McGrannachan C, Pergl J, Roy HE, Scalera R, Squires ZE, Wilson JRU, Winter M, Genovesi P, McGeoch MA (2017) A vision for global monitoring of biological invasions Biological Conservation 213: 295-308. https://doi.org/10.1016/j.biocon.2016.06.013

Lawton JH (1996) Corncrake pie and prediction in ecology. Oikos 76: 3-4.

Leung B, Roura-Pascual N, Bacher S, Heikkila J, Brotons L, Burgman MA, Dehnen-Schmutz K, Essl F Hulme PE, Richardson DM, Sol D, Vila M (2012) TEASIng apart alien species risk assessments: a framework for best practices. Ecology Letters 15: 1475-1493. https://doi.org/10.1111/ele.12003

Liebhold AW, Keitt TH, Goel N, Bertelsmeier C (2020) Scale invariance in the spatial-dynam- ics of biological invasions. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 269-278. https://doi.org/10.3897/neobiota.62.53213

Lodge DM, Williams S, MacIsaac HJ, Hayes KR, Leung B, Reichard $, Mack RN, Moyle PB, Smith M, Andow DA, Carlton JT; McMichael A (2006) Biological invasions: Recommen- dations for US policy and management. Ecological Applications 16: 2035-2054. https:// doi.org/10.1890/105 1-0761(2006)016[2035:BIRFUP]2.0.CO;2

Lombaert E, Guillemaud T, Cornuet J-M, Malausa T, Facon B, Estoup A (2010) Bridgehead effect in the worldwide invasion of the biocontrol Harlequin Ladybird. PLoS ONE 5: ©9743. https://doi.org/10.1371/journal.pone.0009743

Frameworks used in invasion science 21

Martinez-Cillero R, Willcock S, Perez-Diaz A, Joslin E, Vergeer P, Peh KSH (2019) A practical tool for assessing ecosystem services enhancement and degradation associated with invasive alien species. Ecology and Evolution 9: 3918-3936. https://doi.org/10.1002/ece3.5020

McGeoch M, Jetz W (2020) Measure and Reduce the Harm Caused by Biological Invasions. One Earth 1: 171-174. https://doi.org/10.1016/j.oneear.2019.10.003

McGeoch MA, Butchart SHM, Spear D, Marais E, Kleynhans EJ, Symes A, Chanson J, Hoffmann M (2010) Global indicators of biological invasion: species numbers, biodi- versity impact and policy responses. Diversity and Distributions 16: 95-108. https://doi. org/10.1111/j.1472-4642.2009.00633.x

McGeoch MA, Genovesi P, Bellingham PJ, Costello MJ, McGrannachan C, Sheppard A (2016) Prioritizing species, pathways, and sites to achieve conservation targets for biological inva- sion. Biological Invasions 18: 299-314. https://doi.org/10.1007/s10530-015-1013-1

McGeoch MA, Latombe G (2016) Characterizing common and range expanding species. Jour- nal of Biogeography 43: 217-228. https://doi.org/10.1111/jbi.12642

Measey J, Wagener C, Mohanty NP, Baxter-Gilbert J, Pienaar EF (2020) The cost and com- plexity of assessing impact. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 279-299. https://doi.org/10.3897/neobiota.62.52261

Ministry of Agriculture and Forestry (MAF) Biosecurity New Zealand (2008) Biosecurity surveil- lance strategy 2020. MAF Biosecurity New Zealand Discussion Paper No: 2008/04, 1-47 pp.

Morse LE, Randall JM, Benton N, Hiebert R, Lu S (2004) An Invasive Species Assessment Protocol: Evaluating Non-Native Plants for Their Impact on Biodiversity. Version 1. Na- tureServe, Arlington, Virginia, 40 pp.

Nentwig W, Bacher S, Pysek P, Vila M, Kumschick S (2016) The generic impact scoring system (GISS): a standardized tool to quantify the impacts of alien species. Environmental Moni- toring and Assessment 188: 13. https://doi.org/10.1007/s10661-016-5321-4

Nentwig W, Kihnel E, Bacher S (2010) A Generic Impact-Scoring System Applied to Alien Mammals in Europe. Conservation Biology 24: 302-311. https://doi.org/10.1111/j.1523- 1739.2009.01289.x

Nilsen P (2015) Making sense of implementation theories, models and frameworks. Imple- mentation Science 10: 13. https://doi.org/10.1186/s13012-015-0242-0

Novoa A, Richardson DM, Pysek P, Meyerson LA, Bacher S, Canavan S, Catford JA, Cuda J, Essl F, Foxcroft LC, Genovesi P, Hirsch H, Hui C, Jackson MC, Kueffer C, Le Roux JJ, Measey J, Mohanty NP Moodley D, Miiller-Scharer H, Packer JG, Pergl J, Robinson TB, Saul W-C, Shackleton RT, Visser V, Weyl OLF, Yannelli FA, Wilson JRU (2020) Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective manage- ment. Biological Invasions 22: 1801-1820. https://doi.org/10.1007/s10530-020-02220-w

Nunez MA, Pauchard A, Ricciardi A (2020) Invasion Science and the Global Spread of SARS-CoV-2. Trends in Ecology & Evolution 35: 642-645. https://doi.org/10.1016/j. tree.2020.05.004

Ogden NH, Wilson JRU, Richardson DM, Hui C, Davies SJ, Kumschick S, Le Roux JJ, Measey J, Saul W-C, Pulliam JRC (2019) Emerging infectious diseases and biological in- vasions—a call for a One Health collaboration in science and management. Royal Society

Open Science 6: 15 (181577). https://doi.org/10.1098/rsos. 181577

22 John R.U. Wilson et al. / NeoBiota 62: 1-30 (2020)

Olenin S, Minchin D, Daunys D (2007) Assessment of biopollution in aquatic ecosystems. Ma- rine Pollution Bulletin 55: 379-394. https://doi.org/10.1016/j.marpolbul.2007.01.010

Paap T, Wingfield MJ, Burgess TI, Hulbert JM, Santini A (2020) Harmonising the fields of inva- sion science and forest pathology. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kum- schick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 301-332. https://doi.org/10.3897/neobiota.62.52991

Panetta FD, Timmins SM (2004) Evaluating the feasibility of eradication for terrestrial weed invasions. Plant Protection Quarterly 19: 5-11.

Parker IM, Simberloff D, Lonsdale WM, Goodell K, Wonham M, Kareiva PM, Williamson MH, Von Holle B, Moyle PB, Byers JE, Goldwasser L (1999) Impact: toward a framework for understanding the ecological effects of invaders. Biological Invasions 1: 3-19. https:// doi.org/10.1023/A:1010034312781

Pergl J, Brundu G, Harrower CA, Cardoso AC, Genovesi P, Katsanevakis S, Lozano V, Per- glova I, Rabitsch W, Richards G, Roques A, Rorke SL, Scalera R, Schénrogge K, Stewart A, Tricarico E, Tsiamis K, Vannini A, Vila M, Zenetos A, Roy HE (2020) Applying the Convention on Biological Diversity Pathway Classification to alien species in Europe. In: Wilson JR, Bacher S$, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 333-363. https://doi.org/10.3897/neobiota.62.53796

Potgieter LJ, Cadotte MW (2020) The application of selected invasion frameworks to urban ecosystems. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM (Eds) Frameworks used in Invasion Sci- ence. NeoBiota 62: 365-386. https://doi.org/10.3897/neobiota.62.50661

Probert AF, Volery L, Kumschick S, Vimercati G, Bacher S (2020) Understanding uncertainty in the Impact Classification for Alien Taxa (ICAT) assessments. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Rich- ardson DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 387-405. https:// doi.org/10.3897/neobiota.62.52010

Puth LM, Post DM (2005) Studying invasion: have we missed the boat? Ecology Letters 8: 715-721. https://doi.org/10.1111/j.1461-0248.2005.00774.x

PySek P, Bacher S, Ktthn I, Novoa A, Catford JA, Hulme PE, Pergl J, Richardson DM, Wilson JRU, Blackburn TM (2020) MAcroecological Framework for Invasive Aliens (MAFIA): disentangling large-scale context dependence in biological invasions. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Rich- ardson DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 407-462. https:// doi.org/10.3897/neobiota.62.52787

Pysek P, Richardson DM, Pergl J, Jarosik V, Sixtova Z, Weber E (2008) Geographical and taxo- nomic biases in invasion ecology. Trends in Ecology & Evolution 23: 237-244. https://doi. org/10.1016/j.tree.2008.02.002

Regan HM, Colyvan M, Burgman MA (2002) A taxonomy and treatment of uncertainty for ecology and conservation biology. Ecological Applications 12: 618-628. https://doi. org/10.1890/1051-0761(2002)012[0618:ATATOU]2.0.CO;2

Ricciardi A, Blackburn TM, Carlton JT, Dick JTA, Hulme PE, Iacarella JC, Jeschke JM, Lieb- hold AM, Lockwood JL, Maclsaac HJ, Pysek P, Richardson DM, Ruiz GM, Simberloff

Frameworks used in invasion science 23

D, Sutherland WJ, Wardle DA, Aldridge DC (2017) Invasion Science: A Horizon Scan of Emerging Challenges and Opportunities. Trends in Ecology & Evolution 32: 464-474. https://doi.org/10.1016/j.tree.2017.03.007

Ricciardi A, Cohen J (2007) The invasiveness of an introduced species does not predict its im- pact. Biological Invasions 9: 309-315. https://doi.org/10.1007/s10530-006-9034-4

Ricciardi A, Hoopes ME, Marchetti MP, Lockwood JL (2013) Progress toward understanding the ecological impacts of nonnative species. Ecological Monographs 83: 263-282. https:// doi.org/10.1890/13-0183.1

Richardson DM, Pysek P, Rejmanek M, Barbour MG, Panetta FD, West CJ (2000) Naturaliza- tion and invasion of alien plants: concepts and definitions. Diversity and Distributions 6: 93-107. https://doi.org/10.1046/j.1472-4642.2000.00083.x

Richardson DM, Ricciardi A (2013) Misleading criticisms of invasion science: a field guide. Diversity and Distributions 19: 1461-1467. https://doi-org/10.1111/ddi.12150

Robertson PA, Mill A, Novoa A, Jeschke JM, Essl K Gallardo B, Geist J, Janic I, Lambin X, Musseau C, Pergl J, Pysek P, Rabitsch W, von Schmalensee M, Shirley M, Strayer DL, Stefansson RA, Smith K, Booy O (2020) A proposed unified framework to describe the management of biological invasions. Biological Invasions 22: 2633-2645. https://doi. org/10.1007/s10530-020-02298-2

Robinson TB, Martin N, Loureiro TG, Matikinca P, Robertson MP (2020) Double trouble: the implications of climate change for biological invasions. In: Wilson JR, Bacher S, Dae- hler CC, Groom QJ, Kumschick $, Lockwood JL, Robinson TB, Zengeya TA, Richard- son DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 463-487. https://doi. org/10.3897/neobiota.62.55729

Rouget M, Hui C, Renteria J, Richardson DM, Wilson JRU (2015) Plant invasions as a biogeo- graphical assay: vegetation biomes constrain the distribution of invasive alien species assemblag- es. South African Journal of Botany 101: 24-31. https://doi-org/10.1016/j.sajb.2015.04.009

Saul WC, Roy HE, Booy O, Carnevali L, Chen HJ, Genovesi P, Harrower CA, Hulme PE, Pagad S, Pergl J, Jeschke JM (2017) Assessing patterns in introduction pathways of alien species by linking major invasion data bases. Journal of Applied Ecology 54: 657-669. https://doi.org/10.1111/1365-2664.12819

Seebens H, Bacher S, Blackburn TM, Capinha C, Dawson W, Dullinger S, Genovesi P, Hulme PE, van Kleunen M, Kihn I, Jeschke JM, Lenzner B, Liebhold AM, Pattison Z, Pergl J, Pysek P, Winter M, Essl F (in press) Projecting the continental accumulation of alien spe- cies through to 2050. Global Change Biology. https://doi.org/10.1111/gcb.15333

Seebens H, Blackburn TM, Dyer EE, Genovesi P, Hulme PE, Jeschke JM, Pagad S, Pysek P, Winter M, Arianoutsou M, Bacher S, Blasius B, Brundu G, Capinha C, Celesti-Grapow L, Dawson W, Dullinger S, Fuentes N, Jager H, Kartesz J, Kenis M, Kreft H, Kuhn I, Lenzner B, Liebhold A, Mosena A, Moser D, Nishino M, Pearman D, Pergl J, Rabitsch W, Rojas- Sandoval J, Roques A, Rorke S, Rossinelli S, Roy HE, Scalera R, Schindler S, Stajerova K, Tokarska-Guzik B, van Kleunen M, Walker K, Weigelt P, Yamanaka T; Essl F (2017) No saturation in the accumulation of alien species worldwide. Nature Communications 8. https://doi.org/10.1038/ncomms 14435

Simberloff D (2004) Community ecology: Is it time to move on? American Naturalist 163: 787-799. https://doi.org/10.1086/420777

24 John R.U. Wilson et al. / NeoBiota 62: 1-30 (2020)

Simberloff D, Martin JL, Genovesi P, Maris V, Wardle DA, Aronson J, Courchamp F, Galil B, Garcia-Berthou E, Pascal M, Pysek P, Sousa R, Tabacchi E, Vila M (2013) Impacts of biological invasions: what's what and the way forward. Trends in Ecology & Evolution 28: 58-66. https://doi.org/10.1016/j.tree.2012.07.013

Sinclair JS, Brown JA, Lockwood JL (2020) Reciprocal human-natural system feedback loops within the invasion process. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 489-508. https://doi.org/10.3897/neobiota.62.52664

Strauss SY, Lau JA, Carroll SP (2006) Evolutionary responses of natives to introduced species: what do introductions tell us about natural communities? Ecology Letters 9: 354-371. https://doi.org/10.1111/j.1461-0248.2005.00874.x

Strubbe D, Shwartz A, Chiron F (2011) Concerns regarding the scientific evidence informing impact risk assessment and management recommendations for invasive birds. Biological Conservation 144: 2112-2118. https://doi.org/10.1016/j.biocon.2011.05.001

Traveset A, Richardson DM (2020) Plant Invasions: the role of biotic interactions—An over- view. In: Traveset A, Richardson DM (Eds) Plant invasions: the role of biotic interactions. CABI, Wallingford, 1-25. https://doi.org/10.1079/9781789242171.0001

Tuckman BW (1965) Developmental sequence in small groups. Psychological Bulletin 63: 384-399. https://doi.org/10.1037/h0022100

Van der Colff D, Kumschick S, Foden W, Wilson JRU (2020) Comparing the IUCN’s EICAT and Red List to improve assessments of the impact of biological invasions. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 509-523. https://doi.org/10.3897/neobiota.62.52623

Vellend M, Harmon LJ, Lockwood JL, Mayfield MM, Hughes AR, Wares JP, Sax DF (2007) Effects of exotic species on evolutionary diversification. Trends in Ecology & Evolution 22: 481-488. https://doi.org/10.1016/j.tree.2007.02.017

Vimercati G, Kumschick S, Probert AK, Volery L, Bacher S (2020) The importance of as- sessing positive and beneficial impacts of alien species. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S$, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 525-545. https://doi. org/10.3897/neobiota.62.52793

Vitousek PM, Mooney HA, Lubchenco J, Melillo JM (1997) Human domination of Earth’s ecosystems. Science 277: 494-499. https://doi.org/10.1126/science.277.5325.494

Volery L, Blackburn TM, Bertolino S, Evans T, Genovesi P. Kumschick S, Roy HE, Smith KG, Bacher S (2020) Improving the Environmental Impact Classification for Alien Taxa (EICAT): a sum- mary of revisions to the framework and guidelines. In: Wilson JR, Bacher S$, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 547-567. https://doi.org/10.3897/neobiota.62.52723

Wieczorek J, Bloom D, Guralnick R, Blum S, Doring M, Giovanni R, Robertson T, Vieglais D (2012) Darwin Core: An Evolving Community-Developed Biodiversity Data Standard. PLoS ONE 7: 8. https://doi.org/10.1371/journal.pone.00297 15

Wilson JR, Panetta FD, Lindgren C (2017) Detecting and responding to alien plant incursions. Cambridge University Press, 286 pp. https://doi.org/10.1017/CBO9781316155318

Frameworks used in invasion science 25

Wilson JRU (2020) Definitions can confuse: why the “neonative” neologism is bad for conser- vation. Bioscience 70: 110-111. https://doi.org/10.1093/biosci/biz159

Wilson JRU, Datta A, Hirsch H, Keet J-H, Mbobo T, Nkuna KV, Nsikani MM, Pysek P, Richard- son DM, Zengeya TA, Kumschick S (2020) Is invasion science moving towards agreed stand- ards? The influence of selected frameworks. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 569-589. https://doi.org/10.3897/neobiota.62.53243

Wilson JRU, Dormontt EE, Prentis PJ, Lowe AJ, Richardson DM (2009) Something in the way you move: dispersal pathways affect invasion success. Trends in Ecology & Evolution 24: 136-144. https://doi.org/10.1016/j.tree.2008.10.007

Wilson JRU, Faulkner KT, Rahlao SJ, Richardson DM, Zengeya TA, van Wilgen BW (2018) Indicators for monitoring biological invasions at a national level. Journal of Applied Ecol- ogy 55: 2612-2620. https://doi.org/10.1111/1365-2664.13251

Wingfield MJ, Slippers B, Wingfield BD, Barnes I (2017) The unified framework for biologi- cal invasions: a forest fungal pathogen perspective. Biological Invasions 19: 3201-3214. https://doi.org/10.1007/s10530-017-1450-0

Zengeya TA, Wilson JR (in press) The status of biological invasions and their management in South Africa in 2019. South African National Biodiversity Institute, Kirstenbosch and DSI-NRF Centre of Excellence for Invasion Biology, Stellenbosch.

Ziller SR, de SA Dechoum M, Silveira RAD, da Rosa HM, Motta MS, da Silva LE Oliveira BCM, Zenni RD (2020) A priority-setting scheme for the management of invasive non-na- tive species in protected areas. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM (Eds) Frameworks used in Invasion Science. NeoBiota 62: 591-606. https://doi.org/10.3897/neobiota.62.52633

Supplementary material |

Details of the workshop, the invitation, list of attendees, the programme, ground rules,

form for highlighting case-studies, and the process for compiling the special issue

Authors: John R.U. Wilson, Sven Bacher, Curtis C. Daehler, Quentin J. Groom, Sab-

rina Kumschick, Julie L. Lockwood, Tamara B. Robinson, Tsungai A. Zengeya, David

M. Richardson

Data type: explanatory text

Explanation note: additional information regarding the workshop “Frameworks used in Invasion Science’ held 11-13 November 2019 in Stellenbosch, South Africa, hosted by the DSI-NRF Centre of Excellence for Invasion Biology, and the special issue of NeoBiota on frameworks in invasion science that emerged from it.

Copyright notice: This dataset is made available under the Open Database License (http://opendatacommons.org/licenses/odbl/1.0/). The Open Database License (ODDbL) is a license agreement intended to allow users to freely share, modify, and use this Dataset while maintaining this same freedom for others, provided that the original source and author(s) are credited.

Link: https://doi.org/10.3897/neobiota.62.58738.suppl1

John R.U. Wilson et al. / NeoBiota 62: 1-30 (2020)

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27

Frameworks used in invasion science

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John R.U. Wilson et al. / NeoBiota 62: 1-30 (2020)

28

“poypear aq [JIA SUOISN]IUOS snorinds asTMIOTIO “SUOTSeAUT JO soséTeuL

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29

Frameworks used in invasion science

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John R.U. Wilson et al. / NeoBiota 62: 1-30 (2020)

30

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