The following dataset contains information on saplings of woody plant species in invaded subtropical mountain forests (Yungas) over three years. The forests were located in the Horco Molle Experimental Reserve and Parque Sierra de San Javier, Tucumán, Argentina. The data was collected as part of an experiment to investigate the impact of management control on the invasion of non-native species such as Ligustrum lucidum, and other less abundant non-native species, on the dynamics of the woody community. The experiment was conducted between June 2020 and November 2023. This work was carried out as part of NERC grant NE/S011641/1 “Optimising the long-term management of invasive species affecting biodiversity and the rural economy using adaptive management”. Full details about this dataset can be found at https://doi.org/10.5285/4311fa93-fdcc-43bd-bb2e-185118c06ed7

The data resource consists of a series of land cover maps built using raster and shapefiles to evaluate the expansion of the invasive Ligustrum lucidum forest cover in Sierra de San Javier (Yungas forest ecoregion). The classification was conducted to investigate the expansion of the invasion of non-native species Ligustrum at the landscape scale and to model future management strategies using RangeShifter software. The data includes 4 maps with 8 classes of land used: Ligustrum forest; Subtropical montane forest; Dry forest; Montane grasslands; Anthropogenic grasslands and shrubland used for livestock and temporary agriculture, a mixed class including also herbaceous agriculture and low-density urban areas; Sugar cane; Citrus plantations, mostly lemon; high/medium-density urban and build up areas. The work was carried out as part of NERC grant NE/S011641/1 Optimising the long-term management of invasive species affecting biodiversity and the rural economy using adaptive management Full details about this dataset can be found at https://doi.org/10.5285/4d30e697-6a97-45ed-95e6-ac4d66247284

The data resource consists of two years of seed rain data for woody plant species in invaded subtropical mountain forests (Yungas). The forests were in the Horco Molle Experimental Reserve and Parque Sierra de San Javier (Horco Molle), Tucumán, Argentina. The data are collected as part of an experiment to investigate the effects of management control of the invasion of the non-native species Ligustrum lucidum on the dynamics of the woody community. The experiments ran from June 2020 to November 2023. Every two weeks, fallen fruits and seeds were collected in fixed traps (surface 0.25 m2 each) located along transects within forest permanent plots. Each permanent plot (240 metres by 140 metres, 3.36 hectares for each plot) had four transects (160 metres long), and 12 traps were deployed within each transect. The placement of seed traps along the transects was informed by in silico experiments in which both the dispersal and management of L. lucidum were simulated and the placement of traps along simulated transects. After simulating different trap placements, the design chosen provided the highest precision and closest fit to the simulated dispersal and management of L. lucidum. After collection, the fruits and seeds were counted and identified at the lowest feasible taxonomic level (species level) in a laboratory using a stereo microscope. Also recorded was if the fruit or seed had some evidence of having been digested by animals. The work was carried out as part of NERC grant NE/S011641/1 "Optimising the long-term management of invasive species affecting biodiversity and the rural economy using adaptive management". Full details about this dataset can be found at https://doi.org/10.5285/72915dd3-3972-46f2-a0f3-0f52fe51667f

The data resource consists of tree census data and shapefiles about plots established on invaded sub-tropical mountain secondary forests (Yungas) in the Horco Molle experimental reserve and Parque Sierra de San Javier (Horco Molle), Tucumán, Argentina. An experiment was conducted to investigate management control of the invasion of nonnative species Ligustrum to restore native tree diversity from June 2020 to November 2023. The data includes the census of 6 plots (240 metres by 140 metres, 3.36 hectares for each plot, the location specified in the shapefile), with arbitrary coordinates (x for the longest side and y for the shortest) to assess the location of each tree. For each tree stem, a tagged ID was assigned and the species recorded, the presence of secondary stems, its perimeter at breast height, the number of small stems, the number of death stems, stem shape and stem fusion. The work was carried out as part of NERC grant NE/S011641/1 Optimising the long-term management of invasive species affecting biodiversity and the rural economy using adaptive management Full details about this dataset can be found at https://doi.org/10.5285/c3295206-052a-4c87-911a-75d357791b5c

[This dataset is embargoed until March 12, 2026]. The data resource consists of soil chemical measurements for two aims: 1) to characterise soils of plots where we conducted management experiences to restore secondary forests affected by invasions, and 2) to assess the impacts of tree invasions on the chemical parameters of soils., by comparing native and invaded forest plots. All plots were established on invaded sub-tropical mountain secondary forests (Yungas) in the Horco Molle experimental reserve and Parque Sierra de San Javier (Horco Molle), Tucumán, Argentina. For the first aim, we took samples from the six plots established in July 2020. Each plot is 240 metres by 140 metres, 3.36 hectares for each plot (location specified in the related dataset); for the second aim, we included plots that belong to the Red Subtropical de Parcelas Permanentes (Ceballos et al., 2022 ). Those plots are 1 ha each (100 m by 100 m) and were established in 1991, and trees are censused every five years. At each plot, we took samples at five random points (seven for the objective 1). At each point, we collected litter and soil at three different depths (0-10, 10-30, 30-50 cm) for posterior physical (bulk density) and chemical determination (organic carbon, total nitrogen, extractable phosphorus, cation exchange capacity, exchangeable cations calcium, magnesium, sodium and potassium, pH) in the laboratory. The work was carried out as part of NERC-GCB grant 2022GCBCCONTAIN- Invasive alien species management to decrease impacts on biodiversity, rural poverty and carbon storage. Full details about this dataset can be found at https://doi.org/10.5285/83dd24b5-5c3a-4334-91c3-b0a1afd1395f

The data resource consists of invasive tree species individual responses to mechanical-chemical/chemical treatments on plots established on invaded sub-tropical mountain secondary forests (Yungas). Those plots are in the Horco Molle experimental reserve and Parque Sierra de San Javier (Horco Molle), Tucumán, Argentina. The current database belongs to an experiment that we conducted to investigate management control of the invasion of non-native species Ligustrum and other exotic species to restore native tree diversity from June 2020 to November 2023. The work was carried out as part of NERC grant NE/S011641/1 Optimising the long-term management of invasive species affecting biodiversity and the rural economy using adaptive management. Full details about this dataset can be found at https://doi.org/10.5285/199d5e9f-0a23-4166-a200-0b03384835a4

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