species_bw: Phylogenic groupings and trait based clustering of various...

In forestecology: Fitting and Assessing Neighborhood Models of the Effect of Interspecific Competition on the Growth of Trees

Description

A date frame mapping the species codes to their common names, scientific names, and families. This also includes a trait-based clustering of the species.

Usage

species_bw

Format

A data frame with 46 rows and 6 variables:

sp

The code for the species. Link to census_2008_bw and census_2014_bw with sp variable.

genus

Genus

species

Species epithet

latin

Scientific name

family

Family

trait_group

Clustering of species based on three traits rather than their evolutionary relationships. The traits are specific leaf area, maximum height, and wood density

Source

For more information on trait clustering see Allen and Kim 2020 "A permutation test and spatial cross-validation approach to assess models of interspecific competition between trees." doi: 10.1371/journal.pone.0229930PLOS One 15: e0229930.

See Also

Other Big Woods data: census_2008_bw, census_2014_bw, study_region_bw

Other example data objects: blocks_ex, census_1_ex, census_2008_bw, census_2014_bw, census_2_ex, comp_bayes_lm_ex, focal_vs_comp_ex, growth_ex, growth_spatial_ex, growth_toy, study_region_bw, study_region_ex

Examples

library(dplyr)

# Original 2008 census data
census_2008_bw

# 2008 census data with additional species information
census_2008_bw %>%
  left_join(species_bw, by = "sp")

forestecology documentation built on Oct. 2, 2021, 5:07 p.m.