Tree sapling sampling in a secondary subtropical forest invaded by Ligustrum lucidum subject to experimental management, Tucumán, Argentina, 2021-2023

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Environmental Information Data Centre
Last updated:
19 November 2025
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Summary

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

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Additional information

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Added to data.gov.uk
2025-11-13
Access contraints
If you reuse this data, you should cite: Powell, P.A., Russo, M.C., Rodriguez, J.S., Tannure, F.M., Irrazabal Alarcón, V., Baricco, M., Cornulier, T., Burslem, D.F.R.P., Montti, L. (2024). Tree sapling sampling in a secondary subtropical forest invaded by Ligustrum lucidum subject to experimental management, Tucumán, Argentina, 2021-2023. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/4311fa93-fdcc-43bd-bb2e-185118c06ed7
Harvest GUID
4311fa93-fdcc-43bd-bb2e-185118c06ed7
Extent
Latitude: -23.322° to °
Longitude: -67.412° to -62.622°
Spatial reference system
Dataset reference date
2024-03-27 (publication)
Frequency of update
Responsible party
Universidad Nacional de Tucumán & CONICET (author, pointOfContact); (author, custodian, publisher, owner); Instituto de Investigaciones Marinas y Costeras Mar del Plata (CONICET) (author)
ISO 19139 resource type
dataset
Metadata language
eng
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