Tree inventory of plot 6 of Paracou research station (French Guiana) for 2016 Public dataset extracted from the Guyafor database.
Format
A tibble with 3620 rows and 26 variables:
- Forest
Forest name (character)
- Plot
Plot number (character)
- PlotArea
Plot area, in hectare (numeric)
- SubPlot
Subplot number (integer)
- idTree
Unique tree identifier from the database (character)
- Protocole
Protocole name (character)
- Xfield
Euclidean position of the tree relative to the Southwestern corner of the subplot, in m (numeric)
- Yfield
Euclidean position of the tree relative to the Southwestern corner of the subplo, in m (numeric)
- Xutm
Coordinate X for the tree in UTM 22 N (EPSG: 32 622) (numeric)
- Yutm
Coordinate Y for the tree in UTM 22 N (EPSG: 32 622) (numeric)
- UTMZone
UTM Zone (integer)
- Lat
Tree latitude (WGS 84, EPSG : 4326) (numeric)
- Lon
Tree longitude (WGS 84, EPSG : 4326) (numeric)
- Family
Botanical family (character)
- Genus
Botanical genus (character)
- Species
Botanical species (character)
- BotaSource
Source of botanical name (character)
- BotaCertainty
Level of certainty for the botanical identification (numeric)
- VernName
Vernacular name (character)
- CensusYear
Census year (integer)
- CensusDateCertainty
Is the CensusDate precise (TRUE) or not (FALSE)? If FALSE, this information must not be considered for calculation (logical)
- CodeAlive
Is the tree alive (TRUE) or dead (FALSE)? (logical)
- MeasCode
Information on the method for measuring the circumference or on the state of the tree (integer)
- Circ
Circumference of the tree at 1.30m above ground (breast height level), in cm (numeric)
- CircCorr
Corrected circumference (mathematical correction of abnormal circumferences), in cm (numeric)
- CorrCode
Information on the reason why and how the circumference has been corrected, multiple values are possible(character)
...
Source
http://paracou.cirad.fr ; https://paracoudata.cirad.fr/public/pdf/Paracou_data_dictionnary.pdf
EcoFoG::Guyafor2df( WHERE = "Forest='Paracou' AND Plot='6' AND CensusYear=2016", UID = NULL,PWD = NULL,Driver = "SQL Server Native Client 10.0") %>% dplyr::select(-TreeFieldNum,-Project, -idVern, -CommercialSp, -CensusDate)