DOI: 10.5061/dryad.5hqbzkhdn
title: Physiological trait coordination and variability across and within three Pinus species

description: Studies have explored how traits separate plants ecologically and the
 trade-offs that underpin this separation. However, uncertainty remains as
 to the taxonomic scale at which traits can predictably separate species.
 We studied how physiological traits separated three Pinus (P.
 banksiana, P. resinosa, P. strobus) species across three
 sites. We collected traits from four common leaf and branch
 measurements (light and CO2 response curves, pressure-volume curves,
 hydraulic vulnerability curves) across each species and site. While
 common, these measurements are not typically measured together due to
 logistical constraints. Few traits varied across species and
 sites as expected given the ecological preferences of the species and
 environmental site characteristics. Some trait trade-offs present at broad
 taxonomic scales were observed across the three species, but most were
 absent within species. Certain trade-offs contrasted expectations observed
 at broader scales but followed expectations given the species’ ecological
 preferences. We emphasize the need to both clarify why certain
 traits are being studied, as variation in unexpected but ecologically
 meaningful ways often occurs and certain traits might not vary
 substantially within a given lineage (e.g., hydraulic vulnerability
 in Pinus), highlighting the role a trait selection in trait
 ecology.
description: # Physiological trait coordination and variability across and within three
 Pinus species
 [https://doi.org/10.5061/dryad.5hqbzkhdn](https://doi.org/10.5061/dryad.5hqbzkhdn) Included are physiological data collected from three pine species (*Pinus banksiana, P. resinosa, P. strobus*) across three different sites (Scott Lake, Gotham Jack, Mecan River). Cells with 'N/A' represent data that was not collected for specific individuals due to time constraints.  **Description** *Site*: the site the sample is from *Species*: the current scientific name of the species *LMA.ai*: the leaf mass per area of the leaf used of the light response curve (g m-2) *LMA.aci*: the leaf mass per area of the leaf used for the CO2 response curve (g m-2) *k*: the Michaelis Menten value obtained from the light response cure, which is the light level at which 50% of maximum photosynthesis is reached (µmol m-2 s-1) *Amax*: mass-based maximum photosynthesis (µmol g-1 s-1) *Rd*: mass-based respiration (µmol g-1 s-1) *gs*: stomatal conductance (mol m-2 s-1) *E*: transpiration (mmol m-2 s-1) *WUE*: water use efficiency (mmol m-2 s-1) *Vcmax*: mass-based carboxylation efficiency (µmol g-1 s-1) *Jmax*: mass-based electron transport rate (µmol g-1 s-1) *osm*: water potential at full turgor (MPa) *cft*: leaf capacitance at full turgor (mol m-2 MPa-1) *elast*: bulk modulus of elasticity (MPa) *rwctlp*: relative water content at the turgor loss point (%) *tlp*: water potential at the turgor loss point (MPa) *awf*: apoplastic water fraction (%) *Wd*: wood density (g cm-3) *kmax*: stem specific maximum hydraulic conductivity (kg m-1 MPa-1 s-1) lasa: leaf area per sapwood area ratio (cm2 mm-2) *kleaf*: leaf specific maximum hydraulic conductivity (kg m-1 MPa-1 s-1) *p50*: the water potential at which 50% stem conductivity is lost (MPa) *p12*: the water potential at which 12% stem conductivity is lost (MPa) *slope*: the rate at which hydraulic conductivity declines with water potential (% MPa-1)