Research Article |
Corresponding author: Laura Fasola ( lalifasola@gmail.com ) Corresponding author: Xavier Lambin ( x.lambin@abdn.ac.uk ) Academic editor: Ramiro Bustamante
© 2024 Manuela Erazo, Pablo García-Díaz, Bárbara Langdon, Karen Mustin, Mário Cava, Gabriella Damasceno, Magdalena F. Huerta, Eirini Linardaki, Jaime Moyano, Lía Montti, Priscila A. Powell, Thomas W. Bodey, David F. R. P. Burslem, Laura Fasola, Alessandra Fidelis, Xavier Lambin, Sofía Marinaro, Aníbal Pauchard, Euan Phimister, Eduardo Raffo, Ignacio Rodríguez-Jorquera, Ignacio Roesler, Jorge A. Tomasevic, J. Cristóbal Pizarro.
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.
Citation:
Erazo M, García-Díaz P, Langdon B, Mustin K, Cava M, Damasceno G, Huerta MF, Linardaki E, Moyano J, Montti L, Powell PA, Bodey TW, Burslem DFRP, Fasola L, Fidelis A, Lambin X, Marinaro S, Pauchard A, Phimister E, Raffo E, Rodríguez-Jorquera I, Roesler I, Tomasevic JA, Pizarro JC (2024) Stakeholder mapping to support invasive non-native species management in South America. NeoBiota 93: 293-319. https://doi.org/10.3897/neobiota.93.121386
|
Effective long-term management of invasive non-native species (INNS) in South America is a pressing yet complex task. Critically, the environmental, historical, cultural, and economic idiosyncrasies of the region call for the inclusion of a plurality of views from those sectors of society receiving the negative and positive impacts of INNS. This is a multifaceted, and often daunting, task that can be aided by an early identification of stakeholders – those affected by or with an interest in INNS and their management – accompanied by targeted stakeholder engagement. Here, we report the procedures and results of a stakeholder mapping activity aimed at identifying stakeholders and designing engagement strategies. Using expert knowledge procedures, we compiled comprehensive lists of stakeholders for six case-studies in South America: (i) invasive grasses (Urochloa spp.) in Brazil; (ii) glossy privet (Ligustrum lucidum) in Argentina; (iii) lodgepole and Monterey pines (Pinus contorta and P. radiata) in Argentina; (iv) American mink (Neogale vison) in Argentina and Chile; (v) lodgepole and Monterey pines in Chile; and (vi) German yellow-jacket (Vespula germanica) in Chile. Overall, we identified 250 stakeholders, which, based on their interest and influence, were classified into “context settlers” (2%), “key players” (47%), “crowd” (5%), and “subjects” (49%). We outlined strategies to engage with each of these four groups and for each of our six case-studies. Across case studies, communication with stakeholders was the most common engagement strategy proposed (27%; 19 of 70 strategies), followed by active involvement of stakeholders in INNS research and management (23%). Our results highlight the importance of considering power imbalances, as those stakeholders more likely to benefit from INNS were assessed to have more influence over INNS management relative to local and indigenous communities. Our work illustrates how to identify stakeholders in a rigorous and rapid manner, which should be complemented with the involvement of the stakeholders themselves.
Argentina, Brazil, Chile, expert knowledge, long-term management, participatory environmental management science-normative strategies, social actors
Invasive non-native species (INNS, hereafter), those non-native species that have established multiple self-sustaining populations outside their native range, and have spread from their point of introduction (
South America is no exception to these global INNS trends. The number and distribution of INNS have increased in the region since the 1800s (
A range of national and multi-national policies have been formulated and, at least, partially implemented to deal with INNS in South America (
The potential success of these INNS management policies hinges on accounting for the constraints imposed by a low availability of context-specific ecological information, high socio-cultural diversity, policy mismatches, strong dependence on natural resources, and limited funds for addressing the challenges posed by INNS (
Many South American countries have economies based on natural resource use and extraction. They generally include extensive areas that have been converted to monocultures of non-native species, often owned by trans- or multi-national companies that usually hold very different views of nature, natural resource use, and sustainable development than do indigenous and traditional peoples and local communities (hereafter ITPLCs), and which usually wield much more power in decision-making processes (
Considering the complexity of environmental governance in South America, effective INNS management will benefit from a more inclusive approach to ensure that the interests and needs of all stake- and right-holders are met (
Here, our aim was to design collaborative management actions for INNS across three countries in South America. We show how the application of a structured methodology to systematically identify and map stakeholders can be used to plan engagement strategies. In this sense, we align our work with frameworks that consider the plurality of stakeholders’ views to define and formulate INNS management projects to deliver the most favoured outcome(s) for all (
The process described here was part of a multi-country, multi-species research project funded under the Latin American Biodiversity Programme as part of the Newton Fund (
Geographical location of our six case-studies (AR: Argentina; CH: Chile; BR: Brazil), the target INNS (common and scientific names), and the number of participants per case-study who completed individual stakeholder spreadsheets containing information on the stakeholders relevant to their system (denoted by the letter N in the legend). The final products were a consensus stakeholder spreadsheet and a consensus engagement strategy for each of the six case-studies.
Early in the project, partners identified that a barrier to effective engagement of stakeholders in the case-study countries was a lack of clarity surrounding the different stakeholders involved and their levels of interest and potential influence on the different study species and their management. It was in this context that we conducted an iterative exercise over the course of six months (April-September 2021), including individual expert activities and two virtual workshops with researchers and practitioners that aimed to: 1) list the stakeholders expected to be impacted by, or have influence on, INNS and their management; 2) map the distribution of different stakeholders in the different study systems along axes of interest and influence, with a view to 3) defining engagement strategies for different stakeholder groups.
Our central instrument was a stakeholder spreadsheet that each participant had to complete independently. Participants then discussed their completed personal spreadsheets with both other members of their same case-study group and the broader group of participants during facilitated virtual workshops. The ultimate goal was to produce a final single stakeholder spreadsheet for each case-study (6 final stakeholder spreadsheets in total). We invited 2–6 participants and experts per case-study, all of them project partners, to participate in this activity. In the case of pines in Argentina, two were invited, but only one participated. We were unable to recruit substitute experts for this case-study since we only invited on-project partners and close collaborators. The stakeholders for Pinus radiata and Pinus contorta were assessed to be the same for both species in both Argentina and Chile and, therefore, the stakeholder spreadsheets were independent for each country but included both pine species together (pines, hereafter). In addition, two participants were involved in two case-studies and, therefore, completed a stakeholder spreadsheet for each. The final number of participants per case-study varied between one and six, all of them co-authors in this paper. Overall, we obtained 21 individual stakeholder spreadsheets and six unique consensus stakeholder spreadsheets. An exemplar spreadsheet and the instructions provided to each participant can be found in the Suppl. materials
Description and stakeholder mapping dimensions of the 17 elements of our stakeholder spreadsheet, each one corresponding to a column in our spreadsheet.
Dimension | Variable | Description |
---|---|---|
Stakeholders Identification | 1. Name of the organisation | Basic data about each stakeholder. |
2. Target INNS | ||
3. Country | ||
4. Ecoregion | ||
Stakeholders’ area of interest | 5. Stakeholders’ area of interest | Variables that help to identify stakeholders’ key areas of interests. Categories: |
– Environmental sustainability & biological conservation | ||
– Social & community development | ||
– Natural resource management | ||
– Governance & policy | ||
– Academic and research | ||
– Agriculture, livestock and forestry production (including landowners, traders and associations). | ||
– Tourism sector | ||
– Other (describe) | ||
Stakeholders’ attitudes and values towards nature | 6. Conception of nature | A proxy to understand and categorise stakeholder pre-disposition towards INNS. Categories: |
– Naturalism: Nature is a venue for exploration and first-hand discovery | ||
– Humanism: Nature provides emotional satisfaction | ||
– Moralism: Nature is inherently valuable and should be preserved | ||
– Dominionism: Nature is meant for humans to control | ||
– Utilitarianism: Nature is a reservoir of material resources for humans | ||
– Negativism: Nature is dirty, dangerous, and/or scary | ||
– Ecologism: Nature is a fascinating system of interrelated processes | ||
– Scientism: Nature is an object worthy of empirical study about its structures and functioning | ||
Management experience | 7. Previous experience in IAS management | Stakeholders’ prior experience in INNS management: |
Yes = 1 | ||
No = 0 | ||
NA = No Answer or Not Applicable | ||
Level of influence | 8. Land ownership | A proxy for the level of influence. Categories of land ownership measured on a 5-point scale: |
– Large landowners and companies (≥ 30,000 ha) = 5 | ||
– Large landowners (< 30,000–5,000 ha) = 4 | ||
– Medium-sized landowners (< 5,000–200 ha) = 3 | ||
– Smallholders (< 200–5 ha) = 2 | ||
– No land = 1 | ||
9. Perceived level of influence of stakeholders | Perceived level of influence of stakeholders on the decision-making process regarding INNS and their management (e.g., if they have the capacity to influence decisions, to make decisions, or to implement actions regarding INNS and their management). The variable is measured by a 5-point scale: | |
– Extremely influential = 5 | ||
– Moderately influential = 4 | ||
– Somewhat influential = 3 | ||
– Slightly influential = 2 | ||
– Not at all influential = 1 | ||
INNS Impacts | 10. Negative INNS ecological impacts | Set of variables on the perceived INNS impacts will help to measure the level of interest of the stakeholder, measured on a 5-point scale: |
11. Negative INNS economic impacts | – Extreme = 5 | |
12. Negative INNS socio-cultural impacts | – Major = 4 | |
13. Positive INNS ecological impacts | – Moderate = 3 | |
14. Positive INNS economic impacts | – Minor = 2 | |
15. Negative INNS socio-cultural impacts | – None = 1 | |
Level of interest | 16. Perceived level of interest on INNS and their management | Perceived stakeholders’ level of interest, measured on a 5-point scale: |
– Very interested = 5 | ||
– Interested = 4 | ||
– Moderately interested = 3 | ||
– Slightly interested = 2 | ||
– Not interested = 1 | ||
Relationships among stakeholders | 17. Relationships with other stakeholders | Variable providing relevant information on the multiple relationships among stakeholders. |
Our first step involved collecting an initial list of stakeholders expected to be impacted by, or have an influence on, INNS and their management. For each case-study, we emailed the respective participants to complete our stakeholder spreadsheet individually and independently. Participants were given two weeks to list all the stakeholders, including all the organisations and actors they considered to be relevant to their case-study, guided by the following questions (based on
Participants were provided with background information and instructions, and were encouraged to be comprehensive and to list as many stakeholders as possible at this stage. Where appropriate, participants could also search for papers, institutional publications, websites, social media platforms, and historical records, as well as consult other experts and key informants, and news sites to identify stakeholders. However, they were instructed to avoid contacting any of the other participants involved in this activity. Additionally, while the circulated stakeholder spreadsheet included many columns to add information on each stakeholder (Table
Once the initial listing of stakeholders was complete, we held a facilitated online workshop on 15 April 2021 aimed at further developing the participants’ understanding of the social dimensions of INNS, the use of the stakeholder spreadsheet, the next steps, and the overarching goal of the stakeholder mapping activity. This three-hour workshop included two presentations and a practical group activity. For the group activity, which served to demonstrate the methods and the use of the stakeholder spreadsheet, the participants were grouped by study species – with pines in Argentina and Chile grouped together. Each of the 3–6 participants in each group was asked to choose three exemplary stakeholders from their lists and classify them depending on the stakeholder type (e.g., NGOs, ITPLCs, or government agencies) and their level of interest in INNS and their management. We used the online software MURAL (https://www.mural.co/) to support this exercise, and we invited four external experts not involved in the stakeholder listing to join to provide an external perspective and potentially challenge the results and evidence being presented (
After this first workshop, we provided additional instructions and participants were given 30 days to individually and independently revise their stakeholder lists and add the remaining information to each stakeholder listed (see Table
Based on the information collected in the revised stakeholder spreadsheets, our next step was to construct influence/interest matrices (see
To derive interest from impact, the overall level of interest was assumed to be the maximum across all six impact types (positive or negative ecological, economic, and socio-cultural) where 1 represents not at all interested in INNS and their management, and 5 represents highly interested in INNS and their management. We used the maximum instead of the mean or other summary statistics because the scales are not directly comparable across impact types and, consequently, not readily amenable to mathematical operations (
We held a second facilitated online workshop on 18 May 2021 with the same participants and external experts, in which experts were again divided into groups according to their study species. In this workshop, experts within the same group discussed their individual stakeholder spreadsheets and obtained a single consensus stakeholder spreadsheet for each of the six case-studies. Finally, we built an influence/interest matrix based on the information stored in those consensus stakeholder spreadsheets. The consensus stakeholder lists can be found in the Suppl. material
According to their level of interest and influence on both INNS and their potential management, stakeholders were classified into four categories (
Context settlers : Highly influential but with low interest.
Key players : Highly influential and high interest.
Crowd : Little influence and little interest.
Subjects : Low influence but high interest.
Within each group, experts also identified potential engagement strategies for each of the four stakeholder categories described above. After that, all participants joined a general meeting where they discussed their final stakeholder spreadsheets, the corresponding influence/interest matrices, and their engagement strategies. After this second workshop, participants were given one month to produce a final list of engagement strategies tailored to each stakeholder category. Unlike in previous steps, members of the same case-study group were allowed to meet to debate and discuss their consensus engagement strategies. Exemplar consensus engagement strategies and the final lists of consensus engagement strategies are provided in Suppl. materials
We summarised the outputs of our stakeholder mapping exercise by qualitatively describing the consensus stakeholder spreadsheets and consensus engagement strategies across and between case-studies, countries, and stakeholder types. We did not conduct more detailed analyses and comparisons due to concerns about the validity of the data gathered, as stakeholders were not directly consulted (so the information remains the opinions and perceptions of our participants) and the different settings covered by our case-studies meant that some of them generated detailed stakeholder lists whilst others were broader categories (e.g., detailed lists of the government organisations involved in the Argentine privet case vs. broad categories of government levels in the case of the Brazilian Cerrado). This also reflects the complexity associated with mapping stakeholders at large scales, which we elaborate on below. We anonymised the spreadsheets, and engagement strategies, removing the names of the participants and any named organisation and institution, prior to analysis.
We identified a total of 250 potential stakeholders in three countries (99 in Argentina, 18 in Brazil, and 133 in Chile), across all target species (97 for pines considered together, 49 for German yellow-jacket, 47 for the American mink, 18 for the African grasses, and 39 for privet). The lower number of stakeholders identified in Brazil is explained by the large extent of the study area and the use of high-level stakeholder categories instead of detailed lists of each stakeholder within each category. Main stakeholder categories across all target species were: government agencies (30.8%), followed by local communities (17.2%), landowners, producers, rural workers organisations, and companies (14.4%), and public, private, and non-governmental educational, research and extension organisations (14.4%). Other categories each account for less than 10% of the total.
Our participants classified each stakeholder into one of nine primary areas of interest (Table
The vast majority of the stakeholders listed (232; 93%) were expected to be highly interested in INNS and their management. Of these, 109 (47% of 232) were expected to have high influence and thus were classified as “key players”, while 123 (53%) were expected to have little influence and were considered to be “subjects”. Government agencies (56), landowners, producers, rural workers and companies (22), and public, private, and non-governmental educational, research and extension institutions (12) together represent 82.6% of the most influential and highly interested stakeholders across all case-studies (Fig.
Number of stakeholders in each stakeholder matrix category (“key player”, “subject”, “context-settler”, and “crowd”) for the four most common stakeholder categories and all other stakeholder categories grouped together.
Only four local community stakeholders were classified as being “key players”: an apicultural committee and an Indigenous community in the German yellow-jacket case-study, as well as small-scale poultry producers in the American mink case-study in Chile and private neighbourhoods in the privet case-study in Argentina. Conversely, only eight landowners, producers, rural workers and companies were classified as “subjects”. Of these, five were plant nurseries and forestry extensionists in Argentina, two were cider producers and landowners in the German yellow-jacket case-study in Chile, and the last were private corporations in the American mink case-study in Argentina.
The remaining 18 stakeholders (7.2%) were expected to be less interested in INNS and their management, owing to lower negative or positive impacts of INNS on these stakeholders. Only six of these stakeholders (33.3% of 18) were expected to be highly influential and are thus classified as “context-settlers”. These include two landowners, producers, rural workers and companies, two media stakeholders, a government agency and a public, private, and non-governmental educational, research and extension institution. Finally, the 12 “crowd” – uninterested and un-influential stakeholders – included landowners, producers, rural workers and companies (3), public, private, and non-governmental educational, research and extension institutions (2), certification agencies for agricultural, livestock and forestry products (2), and one each of: local communities; government agencies; media; professionals, professional associations, societies, and councils; and tourism agencies, tourists, and visitors to green areas.
The stakeholders expected to be most impacted by INNS were “key players” and “subjects”. Overall, there were more major or extreme negative than positive ecological (100 vs. 4), economic (59 vs. 43) or socio-cultural (33 vs. 19) impacts expected for both stakeholder types (Figs
Distribution of negative (-ve) and positive (+ve) ecological, economic and socio-cultural impacts between “key player” stakeholder groups.
Distribution of negative (-ve) and positive (+ve) ecological, economic and socio-cultural impacts between “subject” stakeholder groups.
The “key players” and “subjects” most frequently affected by negative economic impacts are government agencies (21) and local communities (27), respectively. Major or extreme negative economic impacts include reductions in productivity affecting cattle grazing and agriculture and tourism. Positive economic impacts were most frequently expected for landowners, producers, rural workers and companies as “key players” (12), and for public, private, and non-governmental educational, research and extension institutions (6) and landowners, producers, rural workers (5) and companies as “subjects”, with most related to the two pine case-studies (Fig.
As with economic impacts, government agencies (12) were the “key players”, and local communities (8) the “subjects”, most frequently experiencing negative socio-cultural impacts. These negative impacts include the loss of native medicinal plants used by ITPLCs and the nuisance caused by German yellow-jackets during outdoor and recreational activities. Most of the few expected positive socio-cultural impacts were spread between landowners, producers, rural workers and companies (6 key players and 3 subjects), and public, private, and non-governmental educational, research and extension institutions (3 key players and 4 subjects), with all positive socio-cultural impacts relating to the pine and the privet case-studies (Figs
The participants suggested consensus engagement strategies for each one of the stakeholder influence/interest matrix categories (“key players”, “subjects”, “context-setters” and “crowd”). In total 70 different strategies were suggested, which we grouped ad-hoc into six categories: communication, education, policy, co-planning, active involvement, and networking (Table
Overall number of strategies according to six categories created ad-hoc and submitted by the participants in our stakeholder mapping exercise for each stakeholder category (based on their interest/influence level).
General Strategy Aim | Stakeholder Category | ||||
---|---|---|---|---|---|
Key players | Subjects | Context-settlers | Crowd | Total | |
Communication : Any knowledge exchange action or action leading to the dissemination of a message and/or which seeks to influence behaviour. | 4 | 5 | 3 | 7 | 19 |
Active involvement : Any participation in activities directly related to the management of the INNS (field trials, volunteering, citizen science, etc.). | 2 | 6 | 5 | 3 | 16 |
Policy : Actions that lead to regional, national or international policy mechanisms, or regulations concerning INNS. | 6 | 1 | 3 | 0 | 10 |
Co-planning : Strategies that enhance the co-development of actions between stakeholders, decision-makers and/or experts. | 4 | 3 | 2 | 0 | 9 |
Networking : Actions that enhance the creation of links and interaction between different stakeholders, decision makers and/or experts. | 3 | 1 | 0 | 0 | 4 |
Total | 20 | 20 | 17 | 13 | 70 |
Overall (Table
The second most proposed type of engagement strategy was active involvement (16), particularly for “subjects” (6) and “context-settlers” (5). These strategies were identified for all case study species in Chile and Argentina, and can be categorised as stakeholder participation in monitoring and management activities, including in a citizen science context, for all stakeholder types. Education strategies (12) were the third most commonly suggested engagement strategy, being identified as important for all countries and species, particularly for subjects (4) and context-setters (4). Specific suggestions for German yellow-jackets, American mink, and privet included workshops and information-sharing with “context setters”, “crowd”, and “subjects”; capacity building with “key players” and “subjects” and, interestingly, the suggestion to identify specific “subject” stakeholders who could be empowered via the provision of information.
The fourth most commonly identified strategies were those related to policy (10), with the majority suggested for “key players” (6). For all case-study species, envisaged policy actions included the creation of national action plans, legal instruments and guidelines, multi-sectoral agreements and funding agreements and schemes for INNS management.
Co-planning strategies were the fifth most frequently suggested strategy and were identified as being important to engage with “key players” (4), “subjects” (3) and “context-settlers” (2) in the American mink, German yellow-jacket and pine case-studies. These co-planning strategies in the case of pines included the co-development of management strategies with “subjects” and “context settlers”, highly interested “subjects” and “key players” engaging other stakeholders to participate, and “key players” providing feedback on research projects. For both American mink and German yellow-jackets, strategies included identifying and enhancing, together with “key players”, opportunities for joint work, the participatory co-creation of formal documents, and the co-organisation of workshops and other interaction spaces.
Finally, networking strategies were identified as important for those stakeholders with the highest interest in INNS management, i.e. “key players” (3) and “subjects” (1) in all but the pines’ case-study. For privet and German yellow-jackets specifically, it was suggested that “subjects” could be empowered and given more influence via strengthening of contacts and links with relevant “key players”.
Here we show how facilitated workshops with researchers and practitioners can be used to plan more inclusive and strategic stakeholder engagement in INNS-related activities. Inclusive environmental management, which aims to ensure process and outcome fairness, is a cornerstone of good practice when tackling complex socio-ecological issues such as INNS management and accompanying ecosystem restoration (
First, our results clearly showed the breadth of stakeholders linked to INNS management in South America, spanning government agencies (at all levels) to private business and NGOs, and including up to 97 different stakeholders in the case of pines. Such a breadth of stakeholders will naturally result in a diversity of views and identities, contributing to the complexity of INNS management at both design and implementation stages. Acknowledging this diversity is key to inclusive and effective INNS management planning (
Our stakeholder mapping also revealed important practical lessons to be considered when designing and conducting such activities. First, the extent of the area covered matters, as our larger case-study (African grasses in the Brazilian Cerrado) relied on high-level stakeholder categories given the very large number of potential individual stakeholders, compared to highly disaggregated stakeholder lists for more local case-studies where participants had a high degree of existing knowledge or prior engagement with stakeholders (e.g., German yellow-jackets in Chile). High-level stakeholder lists for large areas can be used as building blocks to develop more detailed lists for smaller areas embedded within them. Second, stakeholders can be shared across multiple INNS, as in our pines case-studies. This opens the door to improved multi-INNS management if the knowledge and resources available can be pooled across multiple target species (
Our results show that most of the stakeholders identified were expected to be highly interested in INNS and their management, which is expected given the nature of our mapping exercise. However, there were clear divergences in the expected influence that these stakeholders might wield in decision-making and the success of on-ground interventions. More specifically, government agencies, landowners and large companies were expected to be influential, whereas ITPLCs were thought to have much less influence over decision-making. This reflects the wider pattern of inequity in environmental governance in South America, which speaks not only to the lack of effective participation in existing governance systems and mechanisms, but on a deeper level, is driven by a lack of recognition of fundamentally differing notions of nature, culture, territory, and conservation (
However, for such strategies to be equitably implemented, different systems of knowledge and values must be recognised, respected, and reflected in the decision-making processes themselves and in the results of such processes (
Our results highlight potential power imbalances that need to be considered for equitable INNS management, especially as not only were landowners expected to have more influence than were ITPLCs, but they are also the main “key players” expected to experience positive economic and socio-cultural impacts from INNS. This is in contrast to the local communities, who are expected to experience only negative impacts from INNS. This contrast is unsurprising given the history of the region, and has been exacerbated by diverging goals pursued by different agencies of the same government (e.g., see
Accounting for positive impacts is essential to ensure that ITPLCs do not bear the brunt of INNS negative impacts while landowners reap the benefits, reinforcing existing inequalities. From an ecological perspective, it is important to consider the possibility that some INNS may play an important ecological role once widespread and integrated in the ecosystem, and managing them might lead to unintended consequences affecting the ecosystem in unforeseen ways (
We reiterate the caveat that our exercise and results stem from the informed opinions of our expert participants on the stakeholders of each case-study. Additionally, the number of participants per case-study varied substantially (from one to six). These features imply that our results should be interpreted with caution and cannot be extrapolated beyond a preliminary assessment of stakeholders and a tool to help practitioners and researchers establish an initial basis for understanding and engaging their stakeholders. A robust understanding of stakeholders will require at least two components. First, it would be desirable to engage a greater number of participants for each case-study to an extent that is commensurate with the area each covered. For example, while five participants is a reasonable sample size for the German yellow-jacket case-study, one participant, as in the case of pines in Argentina, is clearly insufficient. Similar activities should seek to actively recruit participants from diverse backgrounds to achieve a comprehensive picture of the potential stakeholders, and more accurate expert opinions by summarising across experts within each case-study (
Despite these limitations, our stakeholder mapping was a valuable first step. Our engagement strategies proved useful in framing and guiding our project activities both prior to and after the workshop. In total, we conducted 91 engagement activities across our case-studies, including press releases in Spanish and Portuguese (e.g., Chile: https://www.diariosostenible.cl/noticia/actualidad/2022/09/impulsan-control-comunitario-de-chaqueta-amarilla-en-rio-cruces; Argentina: https://radio3cadenapatagonia.com.ar/capacitacion-sobre-especies-exoticas-invasoras-en-el-parque-nacional-lago-puelo/; Brazil: https://agencia.fapesp.br/an-international-research-group-proposes-six-guidelines-for-managing-the-impacts-of-invasive-species/35298), the organisation of eight workshops with decision-makers and protected area managers (e.g., Brazil: https://www.youtube.com/watch?v=8GNrA2k_bgo), participation in multiple conferences and workshops related to INNS and their management, presence at local fairs to raise awareness, contributions to technical documents on INNS and their management in the local languages (Spanish and Portuguese), actively connecting with researchers and practitioners beyond our case-studies yielding ongoing collaborations (
In conclusion, effectively managing the multidimensional socio-ecological issue of INNS requires the collaborative action of multiple stakeholders, from researchers to government agencies and ITPLCs (
Servicio Agrícola y Ganadero, Gobierno de Chile, is one of the CONTAIN project partners, and it is represented by ER in this paper. However, the opinions and results presented in this document are entirely those of ER and may not represent SAG position on the topic.
The authors have declared that no competing interests exist.
No ethical statement was reported.
The stakeholder mapping activities were funded by project CONTAIN under the Latin American Biodiversity Programme as part of the Newton Fund (NE/S011641/1), with contributions from NERC (UK), the Argentine National Scientific & Technical Research Council (CONICET,-2019-74-APN-DIR#CONICET), the São Paulo Research Foundation (Brazil, FAPESP 2018/14995-8), and the Chilean National Commission for Scientific & Technological Research (CONICYT). Additional support was provided by the project ‘Invasive alien species management to decrease impacts on biodiversity, rural poverty and carbon storage’ (2022GCBCCONTAIN) funded by the UK Global Centre on Biodiversity for Climate (GCBC), Department for Environment, Food & Rural Affairs (DEFRA). MC (FAPESP grant #2020/04713-5) and GD (FAPESP grant #2018/09054-0) received support from São Paulo Research Foundation during the development of stakeholder mapping activities. AP and CP were funded by ANID/BASAL FB210006. PG-D was partially supported by PICT 03355 (FONCyT, Argentina).
Conceptualization: PGD, JCP, ME, MC, BL. Data curation: ME, JCP, KM, BL, PGD. Formal analysis: PGD, ME, BL, KM. Investigation: SM, DFRPB, AP, KM, IR, JM, XL, BL, GD, LF, AF, EL, LM, EP, JCP, ER, JAT, IRJ, TWB, PGD, ME, MC, MFH, PAP. Methodology: ME, JCP, PGD, MC. Visualization: KM, PAP. Writing – original draft: PAP, MFH, PGD, KM, EP, JM, EL, XL, MC, LM, BL, JCP, GD. Writing – review and editing: AP, EP, LM, MC, EL, XL, JCP, ER, JAT, MFH, IRJ, SM, TWB, JM, PGD, IR, PAP, KM, BL, GD, DFRPB, LF, AF.
Pablo García-Díaz https://orcid.org/0000-0001-5402-0611
Bárbara Langdon https://orcid.org/0000-0001-8397-1774
Karen Mustin https://orcid.org/0000-0002-2828-2316
Mário Cava https://orcid.org/0000-0002-6630-5347
Gabriella Damasceno https://orcid.org/0000-0001-5103-484X
Magdalena F. Huerta https://orcid.org/0000-0003-4999-4723
Jaime Moyano https://orcid.org/0000-0002-7072-0527
Priscila A. Powell https://orcid.org/0000-0003-3911-0912
Thomas W. Bodey https://orcid.org/0000-0002-5334-9615
David F. R. P. Burslem https://orcid.org/0000-0001-6033-0990
Alessandra Fidelis https://orcid.org/0000-0001-9545-2285
Xavier Lambin https://orcid.org/0000-0003-4643-2653
Sofía Marinaro https://orcid.org/0000-0001-5512-7832
Aníbal Pauchard https://orcid.org/0000-0003-1284-3163
Euan Phimister https://orcid.org/0000-0002-6483-0113
Eduardo Raffo https://orcid.org/0000-0001-9218-0632
Ignacio Rodríguez-Jorquera https://orcid.org/0000-0001-8854-8422
Jorge A. Tomasevic https://orcid.org/0000-0002-0800-2110
J. Cristóbal Pizarro https://orcid.org/0000-0002-5240-2816
The data underpinning the analyses reported in this paper are deposited in the NERC EDS Environmental Information Data Centre at https://doi.org/10.5285/450fd469-5cd7-4c8f-b113-ba469c358caf.
File with instructions and guidance for completing the stakeholder spreadsheet
Data type: pdf
Example Stakeholder Spreadsheet shared with all participants
Data type: xlsx
Explanation note: This is an example used to create the individual Stakeholder Spreadsheets completed by participants.
File containing the consensus lists of stakeholders for each of our six case-studies
Data type: csv
Explanation note: Data have been anonymised.
Example matrix
Data type: pdf
Explanation note: Example of an empty matrix (page 1) to be completed by participants with proposed engagement strategies for each of the four types of stakeholder ("context settlers", "crowd", "key players", and "subjects"). Page 2 shows a matrix for invasive non-native plants in Brazil.
File containing the consensus stakeholder engagement strategies for our six case-studies
Data type: csv