Cite this dataset as
Powell, P.A., Gutierrez-Angonese, J., Burslem, D.F.R.P., Travis, J.M.J., Jiménez, Y.G., Montti, L. (2024). Land cover maps of Sierra de San Javier, Tucumán, Argentina, 1986-2018. NERC EDS Environmental Information Data Centre. (Dataset). https://doi.org/10.5285/4d30e697-6a97-45ed-95e6-ac4d66247284
Import this citation into your reference management software:
BibTeX | Reference Manager (RIS) | Endnote
This dataset will be available under the terms of the Open Government Licence 
Land cover maps of Sierra de San Javier, Tucumán, Argentina, 1986-2018
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
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
Publication date: 2024-06-12
View record as
Formats
TIFF
Shapefile
Spatial information
- Study area
-
- Spatial representation types
-
Raster
Vector - Spatial reference system
- WGS 84 / Pseudo-Mercator
Temporal information
- Temporal extent
-
1986-01-01 to 2018-12-31
Provenance & quality
Land cover maps (LCM) were constructed by applying the machine learning algorithm Random Forest (RF), based on an ensemble of classification trees, fully run on the Google Earth Engine platform. For the classification of tree model runs, 315 points from Thematic Mapper (TM) were chosen by visual interpretation of satellite data. Training areas previously obtained and tested were used to build LCM series of the same study area. All data collected in training areas is recorded onto GPS in the field. For the Ligustrum class, 52 training points were collected during fieldwork in 2010 and spectrally verified using vegetation indices. A total of 367 points for the 8 categories were used and then were transferred into spreadsheets and exported as comma-separated value (CSV) files for deposit into the EIDC. To classify 1986 LCM a subset of training points of L. lucidum was used, including only 28 areas that were identified as source points of dispersion.
The land cover maps obtained were downloaded in raster (tif) format. All training points were presented as shape files.
The land cover maps obtained were downloaded in raster (tif) format. All training points were presented as shape files.
Related
This dataset is included in the following collections
Correspondence/contact details
Lía Montti
Instituto de Investigaciones Marinas y Costeras Mar del Plata (CONICET)
liamontti@gmail.com
Authors
https://orcid.org/0000-0003-3911-0912
Gutierrez-Angonese, J.
Freelance GIS consultant
Jiménez, Y.G.
Universidad Nacional de Tucumán & CONICET
Montti, L.
Instituto de Investigaciones Marinas y Costeras Mar del Plata (CONICET)
Other contacts
- Rights holder
-
Instituto de Ecología Regional (Universidad Nacional de Tucumán & CONICET), Argentina
- Custodian
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
- Publisher
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
Additional metadata
- Topic categories
- biota
environment - INSPIRE theme
- Environmental Monitoring Facilities
- Keywords
- invaded forest , invasive alien species , land cover maps , Ligustrum lucidum , montane forest , Subtropical secondary forest , Yungas
- Funding
- Natural Environment Research Council Award: NE/S011641/1
- Last updated
- 13 June 2024 14:18
475 * views
More information about these numbers
View numbers valid from 12 June 2024 (information prior to this was not collected)