Management Implications
Preventing the introduction of invasive species is well known to be the most effective form of management. For invasive plants, which are predominantly introduced through horticulture, prevention is largely achieved by regulating and restricting the sale of species that are known to be (or have the potential to become) invasive. Unfortunately, invasive plant regulations in many locations (except for some European nations) are inconsistent across national and state/provincial borders, leading to an ineffective patchwork of laws that do little to slow the introduction of invasive plants. Sharing completed weed risk assessments (WRAs), which are used to evaluate invasion risk, could increase capacity and improve regulatory consistency across borders if risk assessment criteria are similar in different regions. Here we compiled global WRA protocols used to inform regulations at the national scale and state/provincial scale. For each, we evaluated the scoring criteria relative to a proposed set of minimum standards. It was common for multiple countries to use the same WRA protocol, but rare for states or provinces. All national and state/provincial WRAs evaluated the likelihood of species spread and almost all WRAs evaluated the likelihood of negative impacts. This information about target species could be readily shared across borders to decrease redundancy and improve consistency in invasive plant regulations. In contrast, national and state/provincial WRAs rarely included any consideration of climate change, which misses an opportunity to proactively regulate emerging invasive plants.
Introduction
Invasive species regulations are inconsistent across national (Early et al. Reference Early, Bradley, Dukes, Lawler, Olden, Blumenthal, Gonzalez, Grosholz, Ibañez, Miller, Sorte and Tatem2016) and state/provincial borders (Beaury et al. Reference Beaury, Fusco, Allen and Bradley2021a; Lakoba et al. Reference Lakoba, Brooks, Haak and Barney2020), making it more likely that potentially harmful plants will be introduced to new locations. One way to improve regulatory consistency would be to standardize pre-border and post-border WRAs. Pre-border WRAs aim to identify high-risk invasive plants that are not yet present to prevent their intentional introduction and planting (often at the national level), while post-border WRAs aim to identify high-risk plants that may or may not be present to prevent their further introduction and spread (often at the state/provincial level). Increasing the consistency of WRA criteria across political boundaries could improve the consistency of regulations and also facilitate the sharing of risk assessment information across borders. Minimum standards for invasive species risk assessments have been proposed (Roy et al. Reference Roy, Rabitsch, Scalera, Stewart, Gallardo, Genovesi, Essl, Adriaens, Bacher, Booy, Branquart, Brunel, Copp, Dean and D’hondt2018), but it is unclear whether existing WRA protocols meet these standards such that results could be easily shared to improve regulatory consistency.
WRAs are formalized lists of criteria that researchers or land managers can use to evaluate the invasion risk of a target plant. “Invasion risk” refers to the likelihood of a target non-native species spreading and causing negative impacts in a new location. A wide variety of variables can be used to predict a species’ invasion risk. Each WRA combines a set of these predictive variables to estimate invasion risk for incoming non-native species before their introduction. WRAs were first introduced in the 1990s and were used primarily in Australia and New Zealand to inform regulations that prohibited the introduction of high-risk, potentially invasive plants (Pheloung et al. Reference Pheloung, Williams and Halloy1999; Scott and Panetta Reference Scott and Panetta1993; Williams Reference Williams1996). Since then, WRAs have become a common tool worldwide for evaluating the likelihood that a plant will become invasive (e.g., Chong et al. Reference Chong, Corlett, Yeo and Tan2011; Koop et al. Reference Koop, Fowler, Newton and Caton2012; MacLeod Reference MacLeod2010; Pheloung et al. Reference Pheloung, Williams and Halloy1999; Roy et al. Reference Roy, Rabitsch, Scalera, Stewart, Gallardo, Genovesi, Essl, Adriaens, Bacher, Booy, Branquart, Brunel, Copp, Dean and D’hondt2018), and general guidelines about information to include in WRAs have been presented (FAO 2019b; Roy et al. Reference Roy, Rabitsch, Scalera, Stewart, Gallardo, Genovesi, Essl, Adriaens, Bacher, Booy, Branquart, Brunel, Copp, Dean and D’hondt2018). While WRAs vary in their ability to correctly differentiate invasive from non-invasive species, they demonstrate high cost-effectiveness (Keller et al. Reference Keller, Lodge and Finnoff2007), because they enable the management of non-native species before invasion.
During the WRA process, assessors (who are often researchers or management specialists at governmental, academic, or nonprofit institutions) gather data pertaining to the predictive variables (criteria) using published literature, gray literature (e.g., agriculture, horticulture, or forestry publications), or personal experiences, and subsequently aggregate the results to determine the overall invasive potential of a target plant in the focal area. Criteria within a WRA may be qualitative (e.g., the Comité de Sanidad Vegetal del Cono Sur (COSAVE) WRA requires the assessor to describe the “effects on ecological systems or processes”) or quantitative (e.g., the WRA for Brazil requires the assessor to determine the amount of economic damage that could be caused by a species), and they typically focus on plant traits and environmental tolerances that influence establishment and spread as well as observed ecological and/or socioeconomic impacts (Bartz and Kowarik Reference Bartz and Kowarik2019; Roy et al. Reference Roy, Rabitsch, Scalera, Stewart, Gallardo, Genovesi, Essl, Adriaens, Bacher, Booy, Branquart, Brunel, Copp, Dean and D’hondt2018; Vilà et al. Reference Vilà, Gallardo, Preda, García-Berthou, Essl, Kenis, Roy and González-Moreno2019). WRAs can be used to evaluate species that are likely to be introduced into a region both intentionally (e.g., as ornamental plants; Reichard and White Reference Reichard and White2001) or accidentally (e.g., as seed contaminants; Lehan et al. Reference Lehan, Murphy, Thorburn and Bradley2013). Ultimately, information from WRAs may be weighed by policymakers against potential benefits (e.g., agricultural or ornamental value; Roberts et al. Reference Roberts, Harrod, Mitterdorfer and Pheloung2011) to determine whether a species should be regulated (Simberloff Reference Simberloff2005).
WRAs are especially useful because they are implemented before the introduction of non-native plants into the focal area (Kumschick and Richardson Reference Kumschick and Richardson2013). The most cost-effective way to reduce the impacts of invasive species is to prevent their introduction, rather than attempting to control or remediate the negative effects of the species postinvasion (Leung et al. Reference Leung, Lodge, Finnoff, Shogren, Lewis and Lamberti2002). Recent analyses of expenses incurred by species invasion emphasize the efficacy of investment and intervention preinvasion (Ahmed et al. Reference Ahmed, Hudgins, Cuthbert, Kourantidou, Diagne, Haubrock, Leung, Liu, Leroy, Petrovskii, Beidas and Courchamp2022; Cuthbert et al. Reference Cuthbert, Diagne, Hudgins, Turbelin, Ahmed, Albert, Bodey, Briski, Essl, Haubrock, Gozlan, Kirichenko, Kourantidou, Kramer and Courchamp2022). WRAs are one proven method for maximizing preinvasion investments, as they allow managers to triage non-native species and (ideally) lead to regulations of high-risk species while allowing for the introduction (and subsequent economic benefits) of low-risk species.
Several studies have compared existing risk assessment protocols, often finding large differences in the types of approaches (Essl et al. Reference Essl, Nehring, Klingenstein, Milasowszky, Nowack and Rabitsch2011) and the criteria within each (Bartz and Kowarik Reference Bartz and Kowarik2019; Roy et al. Reference Roy, Rabitsch, Scalera, Stewart, Gallardo, Genovesi, Essl, Adriaens, Bacher, Booy, Branquart, Brunel, Copp, Dean and D’hondt2018; Vilà et al. Reference Vilà, Gallardo, Preda, García-Berthou, Essl, Kenis, Roy and González-Moreno2019). Inconsistent criteria can lead to different evaluations of risk for the same species across different protocols (i.e., asking different questions yields different answers; González-Moreno et al. Reference González-Moreno, Lazzaro, Vilà, Preda, Adriaens, Bacher, Brundu, Copp, Essl, Garcia-Berthou, Katsanevakis, Moen, Lucy, Nentwig and Roy2019), which could further reduce consistency in regulated species lists (Bradley et al. Reference Bradley, Beaury, Fusco, Munro, Brown-Lima, Coville, Kesler, Olmstead and Parker2022). However, previous comparisons have not differentiated between regulatory risk assessments and those developed primarily for academic purposes (e.g., Bartz and Kowarik Reference Bartz and Kowarik2019; Essl et al. Reference Essl, Nehring, Klingenstein, Milasowszky, Nowack and Rabitsch2011; Roy et al. Reference Roy, Rabitsch, Scalera, Stewart, Gallardo, Genovesi, Essl, Adriaens, Bacher, Booy, Branquart, Brunel, Copp, Dean and D’hondt2018; Vilà et al. Reference Vilà, Gallardo, Preda, García-Berthou, Essl, Kenis, Roy and González-Moreno2019), and several new regulatory WRAs have been adopted in recent years. Therefore, a new census of regulatory pre-border WRAs is necessary to determine the extent of inconsistencies worldwide for national and subnational (state/provincial) geographies.
Here, we compiled all available pre-border national-level and pre/post-border state/provincial-level WRAs that have been adopted for invasive plant regulation. We adapted the proposed minimum standards for risk assessments developed by Roy et al. (Reference Roy, Rabitsch, Scalera, Stewart, Gallardo, Genovesi, Essl, Adriaens, Bacher, Booy, Branquart, Brunel, Copp, Dean and D’hondt2018) to create an amended list of 24 standards, which we used to evaluate consistency across protocols, identifying criteria that are commonly (and less commonly) included. This analysis provides a comprehensive snapshot of existing pre-border regulatory frameworks, highlighting opportunities to enhance consistency and strengthen the prevention of invasive plant introductions across nations, states, and provinces.
Materials and Methods
Compiling National-Level WRAs
We searched for pre-border WRAs that applied to any of the countries included in the International Organization for Standardization (ISO) 3166 classification scheme (https://www.iso.org/home.html). Using Google and Google Scholar, we searched the name of each country and the keywords “weed risk assessment,” “wra,” “pest risk analysis,” “pra,” “invasive policy,” “phytosanitary measures,” and “invasive plant law.” When searching, we combined these keywords one by one with the name of each country (e.g., “Armenia weed risk assessment”), and we examined the first two pages of results on Google Scholar and the equivalent number of results (20) on Google. We performed these searches between June 2022 and June 2025. We only collected WRAs that had been officially adopted (or otherwise implemented) through regulations/legislation or by a government official or agency of the respective country. When there were multiple WRAs that met these guidelines for a country, we included the one that had been cited most often at the time of data collection. We excluded WRAs that were published in academic literature but were not officially adopted for regulation in a specific country. For completeness, we also checked all WRAs listed in prior reviews by Bartz and Kowarik (Reference Bartz and Kowarik2019), Canavan et al. (Reference Canavan, Canavan, Kumschick, Gordon, Wilson and Lieurance2025), Essl et al. (Reference Essl, Nehring, Klingenstein, Milasowszky, Nowack and Rabitsch2011), Roy et al. (Reference Roy, Rabitsch, Scalera, Stewart, Gallardo, Genovesi, Essl, Adriaens, Bacher, Booy, Branquart, Brunel, Copp, Dean and D’hondt2018), and Vilà et al. (Reference Vilà, Gallardo, Preda, García-Berthou, Essl, Kenis, Roy and González-Moreno2019) and retained the ones that aligned with our objectives. For countries that yielded no results using these methods, we sent email requests to the phytosanitary contacts listed on the International Plant Protection Convention (IPPC) website (https://www.ippc.int/en/countries/all/contactpoints/) requesting a copy of their national-level WRA (if one existed). We sent follow-up emails to contacts that had not responded within 2 months of our initial request. This approach is likely to have missed some national WRAs that were not available in English.
Compiling State/Province-Level WRAs
To better understand whether pre-border WRAs at the subnational level follow international guidelines, we also searched for state/province-level WRAs in countries that had developed an independent national-scale WRA (i.e., those not implementing an international protocol). These countries were: Australia, Belgium, Brazil, Canada, Germany, Ireland, Latvia, Mexico, New Zealand, Norway, South Africa, South Korea, United Kingdom, United States, and Zambia. (Canada created its own WRA, but later adopted the WRA developed by the United States, which we learned through personal communication. This is why we searched for province-level WRAs in Canada, even though they do not appear to have their own national-scale WRA.) Kesler (Reference Kesler2021) previously evaluated the content of state-level WRAs in the United States using similar methods, so we did not repeat searches for the United States and instead incorporated the results from Kesler (Reference Kesler2021) directly. Where methods differed, we used notes provided by Kesler’s Appendix S1 to rescore WRAs using our methods. Kesler (Reference Kesler2021) provided web links to WRA sources, some of which had subsequently become defunct. For links that were still live, we downloaded the relevant WRAs. For defunct links, we re-searched for updated versions of WRAs and downloaded them when available.
Between April 2024 and August 2025, we used Google and Google Scholar to search for the name of each state/province/territory and the keywords “weed risk assessment,” “wra,” “pest risk analysis,” “pra,” “invasive policy,” “phytosanitary measures,” and “invasive plant law.” When searching, we combined these keywords one by one with the name of each state and country (e.g., “Victoria Australia weed risk assessment”), and we examined the first two pages of results on Google Scholar and the equivalent number of results (20) on Google. State/province-level WRAs were rare, and our search process was time-intensive; therefore we started with each country’s most populous state or province. If we could not find a WRA for a country’s most populous state or province, we did not continue searching the remaining states or provinces. It is possible that these methods may have overlooked WRAs in countries where less-populous states have been quicker to adopt WRAs than more populated states (as was the case in Australia), or in instances where less-populous states are of particular importance for conservation (e.g., the Galapagos Islands in Ecuador).
Scoring WRAs
To assess the scope and content of each WRA, we applied a list of “minimum standards” adapted from Roy et al. (Reference Roy, Rabitsch, Scalera, Stewart, Gallardo, Genovesi, Essl, Adriaens, Bacher, Booy, Branquart, Brunel, Copp, Dean and D’hondt2018; Table 1), which are intended to improve the consistency and quality of invasive species risk assessments. The first three minimum standards contain multiple parts (e.g., Standard 2 asks whether the risk assessment considers the likelihood that the target species will be introduced, establish, spread, and/or have impact). Because these component parts are sometimes considered separately in WRAs (e.g., multiple WRAs include information about the history of negative impacts but not the history of spread), we considered the component parts individually, resulting in a final list of 24 standards (Table 1). For our assessment, we rephrased each of the minimum standards in the form of yes/no questions to reduce ambiguity (Table 1). If the standard was partially, but not fully met, we answered no (e.g., for Standard 4 about vectors of secondary spread, some WRAs included criteria about long-distance dispersal by animals but did not include long-distance dispersal associated with human activity; these criteria were scored as not fulfilling the minimum standards for vectors of secondary spread, as they do not account for both intentional and unintentional vectors). For each national and subnational WRA, we evaluated whether each of the 24 minimum standards were satisfied and summed the results. A minimum of three coauthors independently reviewed each WRA to ensure that we consistently applied the 24 standards to each WRA. We reconciled scoring differences between coauthors by collectively reviewing the WRA and discussing the standards until a consensus was reached. We created maps to visualize how many minimum standards were met by global WRAs. We also identified standards that were less often met and visualized the countries and states/provinces that met those standards. For each WRA, we also recorded the total number of questions/criteria used, the year of initial publication, and whether each WRA was primarily derived from an earlier, preexisting WRA.
Table 1. Minimum standards for invasive species risk assessments proposed by Roy et al. (Reference Roy, Rabitsch, Scalera, Stewart, Gallardo, Genovesi, Essl, Adriaens, Bacher, Booy, Branquart, Brunel, Copp, Dean and D’hondt2018; left column) and corresponding standards used to evaluate global weed risk assessments (WRAs) used in the present analysis (right column).

To further understand the global landscape of risk assessments, we assigned each WRA to a category based on the structure of its decision-making process. We used the same categories previously described by Hulme (Reference Hulme2012) and the Council for Agricultural Science and Technology (2024). Quantitative WRAs are those that apply statistical models to trait or distribution data for plant species to determine the risk of invasion of each. Qualitative WRAs are those that combine expert opinions about the invasion risk of plant species to determine invasion risk (qualitative WRAs may lack a consistent or well-defined system for arriving at final determination). Finally, semiquantitative WRAs combine aspects of qualitative and quantitative WRAs. For a given species, semiquantitative WRAs generate scores for multiple invasion risk factors, often using expert opinions. These scores are subsequently summed (or otherwise combined using a predetermined method) to arrive at a final invasiveness ranking or management outcome.
Results and Discussion
Geography of WRAs
We found 20 unique national-level WRAs used by a total of 81 countries (Table 2). Twelve WRAs were used by a single country; eight were used by multiple countries. We were unable to find WRAs for 159 countries, only 4 of which (Bahrain, Cabo Verde, Colombia, Nigeria) confirmed via email that they do not have a WRA. It is concerning that we were only able to locate WRAs for 81 of 240 countries (34%). Most invasive plants are introduced intentionally as ornamental plants (Beaury et al. Reference Beaury, Patrick and Bradley2021b; Reichard and White Reference Reichard and White2001), making WRAs and subsequent regulations highly effective for proactively preventing invasions when they are used to consistently screen new species before import. WRAs and border control policies are cost-effective (Keller et al. Reference Keller, Lodge and Finnoff2007), particularly when considering the high economic costs of invasive plants (Diagne et al. Reference Diagne, Leroy, Vaissière, Gozlan, Roiz, Jarić, Salles, Bradshaw and Courchamp2021). Moreover, proactive exclusion of invasive plants prevents substantial negative impacts on native species and ecosystems (Roy et al. Reference Roy, Pauchard, Stoett and Renard Truong2024). While we only searched for WRAs in English, the spatial pattern of border control measures (or lack thereof) is consistent with a previous analysis of other proactive invasive species policies based on U.N. Convention on Biological Diversity implementation documents (Early et al. Reference Early, Bradley, Dukes, Lawler, Olden, Blumenthal, Gonzalez, Grosholz, Ibañez, Miller, Sorte and Tatem2016). Nevertheless, we acknowledge that it is possible that our methods excluded some WRAs written in languages other than English.
Table 2. National-scale weed risk assessments (WRAs) and their corresponding scores (number of “minimum standards” met out of 24; see Table 1) a . State-scale scores can be found in Appendix S1.

a More details about each WRA and its score can be found in Supplementary Appendix S2. PDFs of each WRA can be found on GitHub at the following link: https://github.com/wpfadenhauer/Global-WRAs/tree/main/WRA_Documents.
Encouragingly, our analysis identifies opportunities for sharing WRA policies across neighboring countries—at least one country on every continent except Antarctica uses a WRA (Figure 1). Seven WRAs applied to countries in Europe; three WRAs applied to countries in Africa; three WRAs applied to countries in North America (including the Caribbean); two WRAs applied to countries in each of Asia, South America, and Oceania; and one WRA applied to Australia. The most-represented continents were South America (9/14 countries used a WRA; 64%), Europe (28/51; 55%), Oceania (14/26; 54%), and North America/Caribbean (20/41; 49%). In contrast, much smaller percentages of the countries in Asia (6/53; 11%) and Africa (4/60; 7%) used WRAs. The lack of WRAs in Asia and Africa is consistent with existing biases in invasive plant ecology, which illustrate that most studies focus on a subset of species that are harmful in wealthier nations (Laginhas et al. Reference Laginhas, Fertakos and Bradley2022; Pyšek et al. Reference Pyšek, Richardson, Pergl, Jarošík, Sixtová and Weber2008). Pyšek et al. (Reference Pyšek, Richardson, Pergl, Jarošík, Sixtová and Weber2008) suggested that the lack of data on invasive species in many locations is a result of an overall lack of funding invested in research by these countries. Lack of WRAs may also be related to political will and maturity of an import assessment process. For example, invasion scientists in both India (Sreekanth et al. Reference Sreekanth, Pawar, Chethan, Singh, Sondhia, Chander and Singh2022) and China (Wang et al. Reference Wang, Huang, Zhang, Li, He, Wen, Yin and Liang2024) have developed WRAs but they have not yet been implemented as regulations.

Figure 1. Weed risk assessment (WRA) standards met by nations and states. The global map (top panel) displays the number of minimum standards (out of 24) met by 20 unique WRAs used by 81 countries. The global map uses a Robinson projection and is at a scale of 1:200,000,000. The continental maps (bottom panels) display WRAs used by 38 states or provinces (37 total WRAs). The continental maps use Albers equal area conic projections and are at a scale of 1:150,000,000. We were unable to find WRAs for countries and states/provinces shown in white.
Similar patterns of lack of scientific capacity and/or lack of political will may also exist within countries. In the United States, state invasive plant councils often lack the necessary funding to conduct risk assessments for all potentially harmful species. Thus, increasing the consistency of existing WRAs across national and state/provincial borders could enable sharing of completed risk assessments, which would stretch limited resources further by reducing duplicate effort while also potentially increasing consistency in regulated species lists (Bradley et al. Reference Bradley, Beaury, Fusco, Munro, Brown-Lima, Coville, Kesler, Olmstead and Parker2022). Similarly, several states that have yet to implement a WRA or regulate invasive plants could adopt protocols from neighbors.
Countries located in tropical regions were particularly unlikely to have national WRAs. Notably, WRAs were lacking across tropical regions of Central America, Central Africa, and Southeast Asia. A recent analysis of plant invasion risk suggested that the tropics are particularly susceptible to invasions and that the low number of previously reported invasions in the tropics was more likely due to fewer introductions rather than lack of susceptibility (Pfadenhauer and Bradley Reference Pfadenhauer and Bradley2024). This analysis also noted that WRAs are likely to be most useful in areas such as these, with high ratios of invasive to established plant species. The lack of WRA protocols coupled with elevated risk to tropical regions highlights a major gap in proactive invasive plant policy and management at a global scale. However, a past analysis of the Australian WRA applied to multiple regions suggests that the same criteria effectively identify invasive plants in both temperate and tropical regions (Gordon et al. Reference Gordon, Onderdonk, Fox and Stocker2008). This finding suggests that using one of the existing national WRAs would lead to effective invasive plant identification for any country.
We found state/provincial-level WRAs for Australia, Canada, the United States (previously collected by Kesler [Reference Kesler2021]), and Ecuador. For Belgium, Brazil, Germany, Ireland, New Zealand, Norway, South Africa, South Korea, United Kingdom, and Zambia, we were unable to find WRAs for their most populous state/province, and therefore did not search for the remaining states and provinces. We found unique WRAs for 7 of the 9 states/territories in Australia, 2 of the 13 provinces/territories in Canada, and 1 of the 24 provinces in Ecuador. For comparison, Kesler (Reference Kesler2021) found unique WRAs for 31 states within the United States, with 2 additional states using a WRA that was created by a different state (we were unable to locate the WRAs for some of these states; our results include WRAs for 28 U.S. states). Although it was common for countries to use the same WRAs across borders, it was less common for states/provinces to use the same WRAs. For states/provinces that do not yet have WRAs, using an existing protocol from a neighboring state rather than creating a new one could be more efficient and enable more direct sharing of completed risk assessments. Even though state WRAs are often unique, sharing of completed risk assessments would still benefit others because risk assessment criteria often overlap (Bradley et al. Reference Bradley, Beaury, Fusco, Munro, Brown-Lima, Coville, Kesler, Olmstead and Parker2022).
Meeting Minimum Standards
The average number of standards met by each national-level WRA was 17.6 ± 3.2 (SD) out of 24 total standards. For the state/provincial-level WRAs in Canada, Australia, the United States, and Ecuador, the average was 14.4 ± 3.7 (SD). There were several standards that were commonly met by both national-level and state/provincial-level WRAs that could be shared across jurisdictions to reduce replication of effort (Figure 2). Almost all assessments included criteria related to the likelihood that the species will establish, spread, and have negative impacts within the region (Standards 2B–2D; Figure 2). Broadly, this information aligns with the general guidelines for WRAs recommended by the IPPC (FAO 2019b). This type of information could readily inform risk assessment for neighboring regions and beyond, given the many similarities between climate and ecoregions globally. Similarly, most WRAs included information about negative environmental (Standard 5) and socioeconomic impacts (Standard 7; Figure 2). Roy et al. (Reference Roy, Rabitsch, Scalera, Stewart, Gallardo, Genovesi, Essl, Adriaens, Bacher, Booy, Branquart, Brunel, Copp, Dean and D’hondt2018) noted that many of the risk assessments they evaluated did not include socioeconomic impacts, while our analysis found that most did. One possible explanation for this pattern may be that regulatory WRAs (i.e., the ones we sampled) are more likely to include a wider range of possible impacts that reflect a country’s widely varied interests. Moreover, the IPPC (FAO 2019b), which provides general guidelines for national WRAs, emphasizes socioeconomic impacts but not ecological impacts. In contrast, risk assessments developed primarily for academic purposes (which were included in the Roy et al. [Reference Roy, Rabitsch, Scalera, Stewart, Gallardo, Genovesi, Essl, Adriaens, Bacher, Booy, Branquart, Brunel, Copp, Dean and D’hondt2018] analysis) may primarily reflect a researcher’s area of expertise (e.g., ecology), without evaluating possible consequences in other disciplines. Nevertheless, given that our analysis focused only on regulatory WRAs, it is encouraging that both ecological and socioeconomic impacts are usually included. Finally, most WRAs included a list of data sources (Standard 11). This suggests that a considerable amount of similar information and number of associated sources is being compiled about invasive plant distributions and impacts across jurisdictions. We reiterate calls for global, open-source repositories of invasive species information (Barney et al. Reference Barney, Tekiela, Barrios-Garcia, Dimarco, Hufbauer, Leipzig-Scott, Nuñez, Pauchard, Pyšek, Vítková and Maxwell2015; Culina et al. Reference Culina, Baglioni, Crowther, Visser, Woutersen-Windhouwer and Manghi2018; Fusco et al. Reference Fusco, Beaury, Bradley, Cox, Jarnevich, Mahood, Nagy, Nietupski and Halofsky2023) to reduce the likelihood of redundant efforts to compile that same information (e.g., documentation of ecological impacts, introduction pathways, or potential habitat).

Figure 2. Percentage weed risk assessments (WRAs) that fulfilled each minimum standard. (A) Fulfillment of minimum standards by national WRAs (out of 20 total) and (B) fulfillment of minimum standards by state WRAs (out of 37 total; CAN = 2, AUS = 7, ECU = 1, US = 27). See Table 2 for descriptions of each minimum standard.
Conversely, there were several minimum standards that were frequently missing from WRAs. Fewer than 50% of both national and state/provincial-level WRAs included information about the native range (Standard 1C) or socioeconomic benefits (Standard 1F)—both of these standards are part of the “basic species description.” Native range is not relevant as a risk factor by itself, but instead can inform assessments of likelihood of introduction and establishment (Standards 2A and 2B). Socioeconomic benefits are also not a risk factor (Carneiro et al. Reference Carneiro, Hulme, Cuthbert, Kourantidou, Bang, Haubrock, Bradshaw, Balzani, Bacher, Latombe, Bodey, Probert, Quilodrán and Courchamp2024), but could be useful for contextualizing the motivation for introducing the species. Additionally, fewer than 50% of WRAs included information about potential impacts on ecosystem services (Standard 6) or the effects of climate change on invasion risk (Standard 9). These latter two were also sparse in the Roy et al. (Reference Roy, Rabitsch, Scalera, Stewart, Gallardo, Genovesi, Essl, Adriaens, Bacher, Booy, Branquart, Brunel, Copp, Dean and D’hondt2018) analysis, and were surprisingly absent in some of the most recently adopted regulatory WRAs in our analysis (COSAVE, Guide for Developing Pest Risk Analysis (BRA), A Framework to Support Alien Species Regulation: The Risk Analysis for Alien Taxa (RAAT), and Centre for Agriculture and Biosciences International Pest Risk Analysis Tool (CABI)). One plausible explanation for these omissions is that both impacts on ecosystem services and interactions with climate change are challenging to estimate without existing scientific data and are therefore unlikely to be observed based on expert knowledge alone.
The persistent lack of explicit consideration of climate change (Standard 9; Figure 3) is particularly concerning, because climate change is likely to change the sets of species that pose high risk within countries or states (Bradley et al. Reference Bradley, Beaury, Fusco and Lopez2023; Colberg et al. Reference Colberg, Bradley, Morelli and Brown-Lima2024) and is a top concern for invasive species management (Beaury et al. Reference Beaury, Fusco, Jackson, Laginhas, Morelli, Allen, Pasquarella and Bradley2020). The Global South in particular appears ill-prepared to assess interactions between invasive plants and climate change. Models of climate change impacts on invasive species range shifts are becoming increasingly common at both global and regional scales, such that assessors in the future could more easily find information about potential for establishment (e.g., Allen and Bradley Reference Allen and Bradley2016; Bezeng et al. Reference Bezeng, Morales-Castilla, van der Bank, Yessoufou, Daru and Davies2017; Gallagher et al. Reference Gallagher, Hughes and Leishman2013) and abundance/impact (e.g., Evans et al. Reference Evans, Jarnevich, Beaury, Engelstad, Teich, LaRoe and Bradley2024; O’Neill et al. Reference O’Neill, Bradley and Allen2021). In the absence of future distribution or abundance projections, assessors could consider whether the species currently poses a risk to ecosystems warmer than their target region and extrapolate risk. Explicitly including climate change in WRAs, even if data are currently lacking, ensures that assessors are thinking about the changing likelihood of establishment and impact due to warming. Failing to include climate change misses an opportunity to proactively prevent future invasions (Bradley et al. Reference Bradley, Beaury, Fusco and Lopez2023).

Figure 3. Climate change consideration (Standard 9) remains rare in national-level and state/provincial-level weed risk assessments (WRAs). The global map (top panel) uses a Robinson projection and is at a scale of 1:200,000,000. The continental maps (bottom panels) display WRAs used by 38 states or provinces (37 total WRAs). The continental maps use Albers equal area conic projections and are at a scale of 1:150,000,000. We were unable to find WRAs for countries and states/provinces shown in white.
Limitations
Although Roy et al.’s (Reference Roy, Rabitsch, Scalera, Stewart, Gallardo, Genovesi, Essl, Adriaens, Bacher, Booy, Branquart, Brunel, Copp, Dean and D’hondt2018) minimum standards include a comprehensive set of criteria for WRA, all of these criteria are not necessarily strong predictors of invasion risk. Past studies of risk assessment efficacy have found high levels of accuracy with fewer criteria or questions (Caley and Kuhnert Reference Caley and Kuhnert2006; Conser et al. Reference Conser, Seebacher, Fujino, Reichard and DiTomaso2015; Gordon et al. Reference Gordon, Onderdonk, Fox and Stocker2008; Koop et al. Reference Koop, Fowler, Newton and Caton2012). Criteria with high predictive power include whether a species has established and/or become invasive elsewhere (Caley and Kuhnert Reference Caley and Kuhnert2006; Conser et al. Reference Conser, Seebacher, Fujino, Reichard and DiTomaso2015; Koop et al. Reference Koop, Fowler, Newton and Caton2012), whether the species has negative ecological impacts (Conser et al. Reference Conser, Seebacher, Fujino, Reichard and DiTomaso2015; Koop et al. Reference Koop, Fowler, Newton and Caton2012), whether the species has an invasive congener (Buonaiuto et al. Reference Buonaiuto, Evans, Fertakos, Pfadenhauer, Salva and Bradley2023; Conser et al. Reference Conser, Seebacher, Fujino, Reichard and DiTomaso2015), and whether the species has broad climatic tolerance (Higgins and Richardson Reference Higgins and Richardson2014; Pfadenhauer et al. Reference Pfadenhauer, Nelson, Laginhas and Bradley2023). Including additional criteria (as is typical in the WRAs we assessed) makes it likely that more information will be available to potentially inform assessments in other jurisdictions. However, additional criteria may also make the WRA process time-prohibitive for some countries or states. For example, Verbrugge et al. (Reference Verbrugge, Leuven and van der Velde2010) estimated that some comprehensive risk assessments could take up to a week of time to complete for a single species. Given that an estimated 14,000 plants have been introduced and established outside their native ranges (van Kleunen et al. Reference Kleunen, Dawson, Essl, Pergl, Winter, Weber, Kreft, Weigelt, Kartesz, Nishino, Antonova, Barcelona, Cabezas, Cárdenas and Cárdenas-Toro2015), it might be a more realistic approach to start with a shorter risk assessment process such as horizon scanning (Kendig et al. Reference Kendig, Canavan, Anderson, Flory, Gettys, Gordon, Iannone, Kunzer, Petri, Pfingsten and Lieurance2022) and then only complete full WRAs for higher priority species that result from the initial screening process.
As implemented here, the minimum standards are also biased toward environmental impacts. Three separate standards focus on various components of environmental effects (Standard 5: biodiversity; Standard 6: ecosystem services; and Standard 8: threatened species and habitats), while only one standard focuses on socioeconomic impacts (Standard 7). To reduce bias toward environmental impacts, future reviews of WRAs may opt to split Standard 7 into three separate standards, with one for social, economic, and cultural impacts, respectively. Similarly, future assessors may choose to include separate questions about these three categories of impact in their WRAs.
Conclusions
Our analysis reveals a high degree of consistency across both national and state/provincial-level WRA criteria. Broad adoption of the same protocols (e.g., EPPO, IPPC, Hawai’i Pacific Islands Weed Risk Assessment (PAC IS), Guidelines for Pest Risk Analysis of Imported Plants and Plant Products (CARIB), and COSAVE) across national borders supports the sharing of completed risk assessments, reducing duplication of effort in a field with limited resources (Beaury et al. Reference Beaury, Fusco, Jackson, Laginhas, Morelli, Allen, Pasquarella and Bradley2020). Using the same or similar protocols and sharing results would be an important advance toward unified defenses against potential invasive plants. An approach of sharing completed assessments is also critical at state/provincial levels, where regulated species are highly inconsistent across borders (Beaury et al. Reference Beaury, Fusco, Allen and Bradley2021a; Lakoba et al. Reference Lakoba, Brooks, Haak and Barney2020), leading to patchy defenses against potential invasive plants.
Unfortunately, most nations and states do not appear to have WRAs or a regulatory process for preventing the introduction of invasive plants. While it is probable that some WRAs in non-English languages were not captured, our study, combined with previous analyses of proactive invasive species policies (Early et al. Reference Early, Bradley, Dukes, Lawler, Olden, Blumenthal, Gonzalez, Grosholz, Ibañez, Miller, Sorte and Tatem2016), nevertheless suggests that many gaps remain in phytosanitary practices globally. Countries without WRAs would benefit from adopting one of the established protocols outlined here, optimally from a neighbor, to increase regional consistency in approach. It is well known that preventing introductions is the most environmentally effective and cost-efficient approach to managing invasive species, underscoring the need for broader implementation of these critical tools. Policymakers should prioritize adopting comprehensive WRAs that account for climate change, uncertainty, and ecosystem service impacts to enhance regulatory consistency and effectiveness.
Supplementary material
To view supplementary material for this article, please visit https://doi.org/10.1017/inp.2025.10030
Acknowledgments
We thank the members of the Spatial Ecology Lab at UMass for their ideas, feedback, and inspiration throughout this project. We also thank Mathew Cocking for helping to form new connections and collaborations among the coauthors.
Funding statement
This work was funded by a U.S. Geological Survey Northeast Climate Adaptation Science Center grants G19AC00091 and G21AC10648.
Competing interests
The authors declare no conflicts of interest.




