This dataset was constructed to characterise the invasion dynamics of Pinus radiata from seeds released from commercial plantations into surrounding areas, preferably those dominated by native species, in two situations: after the occurrence of forest fires and in the absence of them. Demographic data were collected concerning three key factors of the invasion process: a) The seed source, in this case, the commercial plantation, where the age, tree density, cone production, and the proportion of cones that remained closed were recorded; b) the characteristics of the habitat surrounding the plantation, as a receiving system for the seeds; this included an assessment of ground cover, understory cover, and canopy cover; and c) The natural regeneration of P. radiata was evaluated regarding its density, ages, heights, and the presence of cones. Information was collected in five geographic areas of Chile: in three of them we were able to establish six study sites per area (three burned and three unburned sites), but in two regions there were no register of recent fires, so only three unburned sites per area were established. Three transects were established in each study site. Fires occurred between 2010 and 2021, and data was collected between 2020 and 2021. Full details about this dataset can be found at https://doi.org/10.5285/43dc564c-2054-4e5a-950c-031d35521ebf

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

This dataset was constructed to understand the perceptions of respondents about pine tree invasion in three communes in central-southern Chile: Santa Juana, Constitución and Tucapel. In addition, the factors that influence the perception of the species and the interest of each community to participate in community control strategies were identified. Face-to-face interviews were conducted in two communities affected by megafires (Santa Juana and Constitución) and one community not affected by such an event (Tucapel), in order to check if there are differences in the willingness of the respondents. The variables evaluated include: (a) demographic data; with information on location, gender, education, age, economic activities and sectors of the respondents; (b) beliefs; whether they think that alien species damage the ecosystem; benefit people; and whether they think that the pine tree harms the traditions of the community; (c) what uses they give to wild pine trees; as fuel, construction material, economic, recreational and cultural purposes; (d) relationship between pine trees and forest fires; if they think that wild pine favours intense and frequent fires, if all vegetation has the same fire risk, and if they think that pine trees can grow back easily after fires, and (e) responsibilities associated with management; if they have ever controlled wild pine in their sector, personal, community, business and government responsibilities associated with management, and how likely they are to participate in strategies to control wild pine. Data were collected between November 2023 and January 2024. Full details about this dataset can be found at https://doi.org/10.5285/63e72aa5-6ea3-4e9f-93fa-311605d3d290