Database Report

Forest Inventory, state of Santa Catarina, Brazil (IFFSC project)

Alexander Christian Vibrans

GIVD Database ID: SA-BR-002	Last update: 2016-01-04
Forest Inventory, state of Santa Catarina, Brazil (IFFSC project)	Web address: www.iff.sc.gov.br
Database manager(s): Alexander Christian Vibrans (acv@furb.br)
Owner: Inventário Florístico Florestal de Santa Catarina, State of Santa Catarina, Brazil, by means of Universidade Regional de Blumenau, Santa Catarina.
Scope: Forest Inventory database, started 2007 in order to assess extension and state of the natural forest cover, with emphasis on floristics and endangered species. First invnetory cycle realized between 2007 to 2011; second cycle under work since 2014. Sample design systematic and permanent, based on a ~10km x 10 km grid ("324 grid, WGS 84 datum). Plot size: 4,000m² (4 x 1,000m²). Two strata: arboreous stratum (DBH >=10cm); understory and regeneration stratum (DBH < 10cm, height >0.50m). Scope: Vascular herbaceous and woody plants - woody species (trees and shrubs), except liana, including arboresent ferns, herbs and epiphytes.
Abstract: $v.abstractText
Availability: free upon request	Online upload: yes	Online search: yes
Database format(s): other, MYSQL	Export format(s): Excel, PDF, CSV file
Plot type(s): normal plots, nested plots	Plot-size range (m²): 4000 to 4000
Non-overlapping plots: 444	Estimate of existing plots: 40	Completeness: 1110%	Status: completed and continuing
Total no. of plot observations: 444	Number of sources (biblioreferences, data collectors): 0	Valid taxa: 0
Countries (%): BR: 100
Formations: Forest: 95% = Terrestrial: 95% // Non Forest: 5% = Terrestrial: 5% (Non arctic-alpin: 5%)
Guilds: all vascular plants: 70%
Plot size categories (%):
Environmental data (%): altitude: 100; slope aspect: 100; slope inclination: 100; surface cover other than plants (open soil, litter, bare rock etc.): 100; soil pH: 90; land use categories: 100
Performance measure(s): presence/absence only: 100%; number of individuals: 100%; measurements like diameter or height of trees: 100%; biomass: 100%
Geographic localisation: small grid (not coarser than 10 km): 100%
Sampling periods: 2000-2009: 20%%; 2010-2019: 80%%
Information as of 2026-06-14; further details and future updates available from http://www.givd.info/ID/SA-BR-002

Alexander Christian Vibrans* (acv@furb.br)
Engenharia Florestal, Universidade Regional de Blumenau, Rua São Paulo 3250, 89030 Blumenau - SC, BRAZIL
* corresponding author