Database Report

ArgVeg – Database of Central Argentina

Melisa Giorgis & Alicia T.R. Acosta

GIVD Database ID: SA-AR-002	Last update: 2022-11-22
ArgVeg – Database of Central Argentina	Web address:
Database manager(s): Melisa Giorgis (mgiorgis@imbiv.unc.edu.ar); Alicia T.R. Acosta (acosta@uniroma3.it)
Owner: Melisa A. Giorgis
Scope: The database includes published and original phytosociological floristic surveys (most of them georeferenced) conducted on Subtropical seasonally dry plant communities from the southern extreme of the Great Chaco and Espinal forests. Currently, the database comprises the province of Córdoba located in central Argentina covering ca. 161 000 km². The scope was to compile in a single database the existing data on floristic composition and physiognomy of the major vegetation types in central Argentina for the first time.
Abstract: The database contains floristic surveys representing the geographical, topographical and ecological variation found in subtropical seasonally dry Chaco and xerophytic Espinal forests while few plots are located in the Pampas grassland. The main semi-natural physiognomies are covered as well as Pinus plantations and patches invaded by woody non-native species.
Availability: according to a specific agreement	Online upload: no	Online search: no
Database format(s): TURBOVEG, Excel	Export format(s): Excel
Plot type(s): normal plots	Plot-size range (m²): 25 to 500
Non-overlapping plots: 1092	Estimate of existing plots: 1500	Completeness: 73%	Status: ongoing capture
Total no. of plot observations: 1092	Number of sources (biblioreferences, data collectors): 2	Valid taxa: 1184
Countries (%): AR: 100
Formations: Forest: 23% = Terrestrial: 23% // Non Forest: 72% = Terrestrial: 72% (Non arctic-alpin: 72% [Semi-natural: 72%])
Guilds: all vascular plants: 100%
Plot size categories (%): 10-100 m2: 20%; 100-1000 m2: 80%;
Environmental data (%): altitude: 100
Performance measure(s): cover: 100%
Geographic localisation: GPS coordinates (precision 25 m or less): 77%; point coordinates less precise than GPS, up to 1 km: 23%
Sampling periods: 1980-1989: 6%; 1990-1999: 10.7%; 2000-2009: 65%; 2010-2019: 18.4%
Information as of 2026-06-14; further details and future updates available from http://www.givd.info/ID/SA-AR-002

Melisa Giorgis* (mgiorgis@imbiv.unc.edu.ar)
Av. Vélez Sars?eld 1611, Córdoba Córdoba, ARGENTINA
Alicia T.R. Acosta (acosta@uniroma3.it)
Department of Sciences, University of Rome 3, Viale Marconi 446, 00416 Rome, ITALY
* corresponding author