biometrics (version 1.0.1)

trlhawaii: Tree-level information of forest plots across the Hawaiian archipelago.

Description

Diameter at breast height (or occurrence) of individual trees, shrubs and tree ferns across 530 plots across the Hawaiian archipelago and includes native status and cultivated status of the 185 species.

Usage

data(trlhawaii)

Format

Contains 18 variables, as follows:

island

Island name.

plot.id

Unique numeric identifier for each plot.

study

Brief name of study.

plot.area

Plot area in m\(^{2}\).

longitude

Longitude of plot in decimal degrees; WGS84 coordinate system.

latitude

Latitude of plot in decimal degrees; WGS84 coordinate system.

year

Year in which plot data was collected.

census

Numeric identifier for each census.

tree.id

Unique numeric identifier for each individual.

scientific.name

Genus and species of each individual following TPL v. 1.1.

family

Family of each individual following TPL v. 1.1.

angiosperm

Binary variable (1 = yes, 0 = no) indicating whether an individual is classified as an angiosperm following APG III.

monocot

Binary variable (1 = yes, 0 = no) indicating whether an individual is classified as a monocot following APG III.

native.status

Categorical variable ("native", "alien", "uncertain") indicating alien status of each individual following Wagner et al. (2005).

cultivated.status

Binary variable (1 = yes, 0 = no, NA = not applicable) indicating if species is cultivated following PIER.

abundance

Number of individuals (all = 1).

abundance.ha

Abundance of each individual on a per hectare basis.

dbh

Diameter at 1.3 m (in cm) for each individual; NA indicates that size was not measured, but was classified by size class.

References

- Craven D, Knight T, Barton K, Bialic-Murphy L, Cordell S, Giardina C, Gillespie T, Ostertag R, Sack L,Chase J. 2018. OpenNahele: the open Hawaiian forest plot database. Biodiversity Data Journal 6: e28406.

Examples

data(trlhawaii)  
table(trlhawaii$island,trlhawaii$study)   
unique(trlhawaii$plot.id) 
table(trlhawaii$plot.id) 
tapply(trlhawaii$plot.area,trlhawaii$study,summary)