Physiological trait coordination and variability across and within three Pinus species
Data files
Jul 22, 2024 version files 9.54 KB
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Finaldata.csv
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README.md
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Abstract
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.
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)