Expert-based stakeholder mapping and engagement strategies for six invasive non-native species case studies in Argentina, Brazil, and Chile, 2021

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Environmental Information Data Centre
Last updated:
14 April 2025
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Summary

Data package containing information and the results of our expert-based stakeholder mapping exercise for six invasive non-native species case studies in Argentina, Brazil, and Chile, 2021. These six case studies included invasive grasses (Urochloa spp.) in Brazil, glossy privet (Ligustrum lucidum) in Argentina, lodgepole (Pinus contorta) and Montery pines (Pinus radiata) in Argentina, American mink (Neogale vison) in Argentina and Chile, lodgepole (Pinus contorta) and Montery pines (Pinus radiata) in Chile, and German yellow-jacket (Vespula germanica) in Chile. The datasets included are: (i) a list of all the stakeholders identified, their characteristics, interest in invasive non-native species (INNS) and their management, and the positive and negative ecological, economic, and social impacts of INNS experienced by the stakeholders; (ii) an example of a stakeholder spreadsheet used to collect information during our activities; (iii) a list of consensus strategies for engaging stakeholders identified by the participants; and (iv) two examples of stakeholder engagement strategies. Full details about this dataset can be found at https://doi.org/10.5285/450fd469-5cd7-4c8f-b113-ba469c358caf

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Added to data.gov.uk
2025-04-08
Access contraints
If you reuse this data, you should cite: Erazo, M., García Díaz, P., Langdon, B., Mustin, K., Cava, M., Damasceno, G., Huerta, M.F., Linardaki, E., Moyano, J., Montti, L., Powell, P.A., ‍Bodey, T.W., Burslem, D.F.R.P., Fasola, L., Fidelis, A., Lambin, X., ‍Marinaro, S., Pauchard, A., Phimister, E., Raffo, E., Rodríguez-Jorquera, I., Roesler, I., Tomasevic, J.A., Pizarro, J.C. (2024). Expert-based stakeholder mapping and engagement strategies for six invasive non-native species case studies in Argentina, Brazil, and Chile, 2021. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/450fd469-5cd7-4c8f-b113-ba469c358caf
Harvest GUID
450fd469-5cd7-4c8f-b113-ba469c358caf
Extent
Latitude: 5.266° to °
Longitude: -75.256° to -34.124°
Spatial reference system
Dataset reference date
2024-02-16 (publication)
Frequency of update
Responsible party
(author, pointOfContact, custodian, publisher, owner); Servicio Agrícola y Ganadero (author)
ISO 19139 resource type
dataset
Metadata language
eng
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XML
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