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.
Arguments
- x
A data.frame returned by
taxify().- cols
Which columns to attach:
NULL(default) all, or a character vector of names. Seeenrichment_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