This dataset contain inventories of the impacts of invasive alien species (IAS) in Brazil, Chile, and Argentina. These include seven case studies: pines (Pinus contorta) in the Araucanía and Aysén Regions (Chile); (ii) pines (Pinus contorta) in the Northern Patagonia Region (Argentina); (iii) privet (Ligustrum lucidum) in the Yungas Forest (Argentina); (iv) invasive grasses (Urochloa brizantha and Urochloa decumbens) in the Cerrado (Brazil); (v) the American mink (Neovison vison) in Austral Patagonia (Argentina); (vi) the American mink in the Los Ríos Region (Chile); and, (vi) the yellow jacket wasps (Vespula germanica) in the Los Ríos Region (Chile). The impacts were elicited by experts (varying between two and four experts for each case study) following the procedures described in the supporting files. A total of 1,526 impacts were identified by the experts, and these impacts can be found in the "Compiled-Impact.csv" file. This file contains information about the impact outcome, impact mechanism, EICAT impact category, level of confidence, the species or asset impacted, the direction of the impact, the extent of the study area, the name of the IAS, whether the IAS is a plant or an animal, and the country. After two rounds of scoring, the impacts listed in the “Compiled-Impact.csv” were further discussed during a facilitated workshop in San Carlos de Bariloche (Argentina; December 2019). The final, agreed impact scores can be found in the file "Unique-Impact.csv". This final dataset contains 209 impacts and information about the same variables described above for the "Compiled-Impact.csv" file. Full details about this dataset can be found at https://doi.org/10.5285/d00a647a-16ec-4d2a-a3a3-ad59597e8ca2

This dataset comprises summary data for a literature search on invasive alien species (IAS) control efficacy and their outcomes. It contains article title, authors, journal, year of publication, taxa investigated, type of control method, and whether the paper evaluated outcomes. Overall, 373 publications were assessed. The literature search on Web of Science and the subsequent screening were conducted between May and July 2020. Full details about this dataset can be found at https://doi.org/10.5285/7b274f84-0d93-416d-a5b3-54f3387cebd5

[This dataset is embargoed until May 31, 2025]. 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 data describes pollinator associations with commercial blueberry crops within nine farms in the province of Tucumán (26° 50′ 02′′S, 65° 12′ 55′′ W), Argentina. Using transect based walks at two distances from field boundaries the abundance of insect and hummingbird pollinators were assessed. Fruit set attributable to insect and hummingbird pollinators was assessed using pollinator exclusion net bags placed over flowering branches of blueberries.

The dataset contains fruit counts (and counts of seeds within fruits), size measurements, and habitat characteristics for Pyracantha angustifolia, in Tafi Del Valle (Northwest Argentina). Data were obtained from field-based measurements of shrub characteristics in May 2019, when Pyracantha is fruiting. Also included are growth ring counts for shrubs of different sized used to predict the age of shrubs within the dataset. Full details about this dataset can be found at https://doi.org/10.5285/806eea81-1071-45af-a51e-d78f2a5fcd09