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

In SCGLR: Supervised Component Generalized Linear Regression

Description

Genus gives the abundance of 27 common tree genera in the tropical moist forest of the Congo-Basin and 40 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. 14 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 gen27	abundance of the 27 common genera.
altitude	above-sea level in meters.
pluvio_yr	mean annual rainfall.
forest	classified into seven classes.
pluvio_1 to pluvio_12	monthly rainfalls.
geology	5-level geological substrate.
evi_1 to evi_23	16-days enhanced vegetation indexes.
lon and lat	position of the plot centers.
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://www.coforchange.eu/

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

SCGLR documentation built on May 1, 2019, 8 p.m.