CSR: Calculate CSR strategy for multiple plant species

In MultiTraits: Analyzing and Visualizing Multidimensional Plant Traits

Calculate CSR strategy for multiple plant species

Description

This function processes a dataframe containing leaf traits (LA, LDMC, SLA) and applies the Strate_CSR function to each row.

Usage

CSR(data)

Arguments

data	A dataframe containing columns for LA (Leaf Area), LDMC (Leaf Dry Matter Content), and SLA (Specific Leaf Area).

Value

A dataframe with the original input data and additional columns:

• C: Competitive strategy score

• S: Stress-tolerant strategy score

• R: Ruderal strategy score

• type: The dominant CSR strategy type

References

1. Grime, J.P. (1974). Vegetation classification by reference to strategies. Nature, 250, 26–31.

2. Pierce, S., Negreiros, D., Cerabolini, B.E.L., Kattge, J., Díaz, S., et al. (2017). A global method for calculating plant CSR ecological strategies applied across biomes world-wide. Funct Ecol, 31: 444-457.

Examples

LA <- c(369615.7, 11.8, 55.7, 36061.2, 22391.8, 30068.1, 31059.5, 29895.1)
LDMC <- c(25.2, 39.7, 13.3, 35.5, 33.2, 36.1, 35.2, 34.9)
SLA <- c(17.4, 6.6, 34.1, 14.5, 8.1, 12.1, 9.4, 10.9)
traits <- data.frame(LA, LDMC, SLA)
CSR(data = traits)

MultiTraits documentation built on April 16, 2025, 9:07 a.m.