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Joins the drought-mortality trait block – xylem embolism resistance, xylem and leaf conductivity, sapwood-to-leaf allocation and drought exposure – to a taxify() result by accepted name.

Usage

add_hydraulics(x, cols = NULL, verbose = TRUE)

Arguments

x

A data.frame returned by taxify().

cols

Which columns to attach: NULL (default) all, or a character vector of names. See enrichment_cols.

verbose

Logical. Default TRUE.

Value

The same data.frame with hyd_ columns: p50_mpa, sapwood_conductivity, leaf_conductivity, huber_value_cm2_m2, min_water_potential_mpa, hydraulic_safety_margin_mpa, mean_annual_temp_c.

Details

Source: Sanchez-Martinez et al. (2020), 2024 seed-plant species. CC BY 4.0. The widest P50 coverage in the bundled sources by an order of magnitude: 894 species against the 123 AusTraits and BROT carry between them.

This is a literature compilation and so are AusTraits and BROT, so where they overlap they often carry the same primary record: 63% of the P50 values shared with AusTraits and 65% of the Ks values are equal to the last digit. Agreement between them is not independent corroboration. The overlap is small against what this adds – 74 of its 894 P50 species appear in either incumbent.

huber_value_cm2_m2 is square centimetres of sapwood per square metre of leaf, so it runs 1e4 above the dimensionless AusTraits column. The factor is measured rather than assumed: 79 of the 208 species the two share are equal to the last digit once converted. add_trait() applies it.

mean_annual_temp_c describes where the species grows, not what it tolerates; it feeds climatic_temp_mean, never thermal_max.

References

Sanchez-Martinez P, Martinez-Vilalta J, Dexter KG, Segovia RA, Mencuccini M (2020) Adaptation and coordinated evolution of plant hydraulic traits. Ecology Letters 23:1599-1610. doi:10.1111/ele.13584

Data: doi:10.6084/m9.figshare.12625418.v1

Examples

if (FALSE) { # \dontrun{
taxify(c("Quercus ilex", "Abies alba")) |>
  add_hydraulics()
} # }