genus2: Sample dataset of abundance of genera in tropical moist...

In SCnext/SCGLR: Supervised Component Generalized Linear Regression

Sample dataset of abundance of genera in tropical moist forest

Description

genus2 gives the abundance of 15 common tree genera in the tropical moist forest of the Congo-Basin and 46 geo-referenced environmental variables on one thousand 8 by 8 km plots (observations). Each plot's data was obtained by aggregating the data measured on a variable number of previously sampled 0.5 ha sub-plots. Geo-referenced environmental variables were used to describe the physical factors as well as vegetation characteristics. 23 physical factors were used pertaining the description of topography, geology and rainfall of each plot. Vegetation is characterized through 16-days enhanced vegetation index (EVI) data.

Format

gen1 to gen15	abundance of 15 common genera.
evi_1 to evi_23	16-days enhanced vegetation indexes.
MIR and NIR	Middle-Infrared and Near-Infrared channels.
pluvio_an	mean annual rainfall.
pluvio_1 to pluvio_12	monthly rainfalls.
altitude	above-sea level in meters.
mois_sec_50 and mois_sec_50	???
CWD, awd and mcwd	???
wetness	???
center_x and center_y	longitude and latitude of the plot centers.
geology	5-level geological substrate.
inventory	forest concession id number.
surface	sampled area.

Note

The use of this dataset for publication must make reference to the CoForChange project.

Author(s)

CoForChange project

References

S. Gourlet-Fleury et al. (2009–2014) CoForChange project: http://coforchange.cirad.fr/

C. Garcia et al. (2013–2015) CoForTips project: https://www.cofortips.org/

SCnext/SCGLR documentation built on Feb. 10, 2024, 1:44 p.m.