Data from: Leaf nutrients, not specific leaf area, are consistent indicators of elevated nutrient inputs

  • Anne Ebeling (Contributor)
  • Anita C. Risch (Contributor)
  • Eric Harvey (Contributor)
  • Martin Schütz (Contributor)
  • Nicole Hagenah (Contributor)
  • Kimberly J. La Pierre (Contributor)
  • Peter D. Wragg (Contributor)
  • Joslin L. Moore (Contributor)
  • James M. McGree (Contributor)
  • Andrew M. MacDougall (Contributor)
  • Jonathan D. Bakker (Contributor)
  • Charlotte Allen (Contributor)
  • Yvonne M. Buckley (Contributor)
  • Erica Porter (Contributor)
  • Emma Ladouceur (Contributor)
  • Nico Eisenhauer (Contributor)
  • Yann Hautier (Contributor)
  • Carly J. Stevens (Contributor)
  • Cynthia S. Brown (Contributor)
  • P. A. Fay (Contributor)
  • Andrew R. Kleinhesselink (Contributor)
  • Suzanne M. Prober (Contributor)
  • W. Stanley Harpole (Contributor)
  • Rachel M. Mitchell (Contributor)
  • Lauren L. Sullivan (Contributor)
  • Carlos Alberto Arnillas (Contributor)
  • Maria C. Caldeira (Contributor)
  • E. E. Cleland (Contributor)
  • John W. Morgan (Contributor)
  • Pablo Luis Peri (Contributor)
  • Elizabeth T. Borer (Contributor)
  • Justin P. Wright (Contributor)
  • Karine H. Moromizato (Contributor)
  • Jennifer Firn (Contributor)
  • Eric W. Seabloom (Contributor)
  • Christiane Roscher (Contributor)
  • Habacuc Flores-Moreno (Contributor)
  • Melinda D. Smith (Contributor)
  • Lori Biederman (Contributor)
  • Peter B. Adler (Contributor)
  • Carla Nogueira (Contributor)
  • Arthur A. D. Broadbent (Contributor)
  • Miguel N. Bugalho (Contributor)

Dataset

Description

Leaf traits are frequently measured in ecology to provide a ‘common currency’ for predicting how anthropogenic pressures impact ecosystem function. Here, we test whether leaf traits consistently respond to experimental treatments across 27 globally distributed grassland sites across 4 continents. We find that specific leaf area (leaf area per unit mass)—a commonly measured morphological trait inferring shifts between plant growth strategies—did not respond to up to four years of soil nutrient additions. Leaf nitrogen, phosphorus and potassium concentrations increased in response to the addition of each respective soil nutrient. We found few significant changes in leaf traits when vertebrate herbivores were excluded in the short-term. Leaf nitrogen and potassium concentrations were positively correlated with species turnover, suggesting that interspecific trait variation was a significant predictor of leaf nitrogen and potassium, but not of leaf phosphorus concentration. Climatic conditions and pretreatment soil nutrient levels also accounted for significant amounts of variation in the leaf traits measured. Overall, we find that leaf morphological traits, such as specific leaf area, are not appropriate indicators of plant response to anthropogenic perturbations in grasslands.,NutNet_foliar_data This data includes leaf traits that were collected from the three to five most dominant species in each plot including specific leaf area, and leaf N, P and K concentrations. This file also include site level climatic and edaphic conditions: mean annual temperature, temperature seasonality, mean annual precipitation, precipitation seasonality, pre-treatment soil nitrogen by mass %, pre-treatment soil phosphorus by mass (ppm) and pre-treatment soil potassium by mass (ppm). A sheet is included in the data file explains each column and is called metadata. In the version of this Article originally published, we made mistakes when converting SLA values at 10 of the 27 sites in the dataset. These mistakes occurred when converting SLA from cm2/g to mm2/g and from mm2/mg to mm2/g. After we corrected these unit conversion mistakes, we realised that two data points for SLA were no longer plausible: the SLA value at the Frue.ch site plot 27 Phlelum Pratense as the value was >300,000 and a value from the shps.us site for Poa Secunda plot 31, which was <60; these two values were changed to ‘NA’ in the dataset. Compared to the original data, the following sites have had SLA changed in these ways to account for mistakes in unit conversions: blder.us all values x10 bunch.us all values x 10 Burrawan.au all values divide by 10 jena.de all values x 10 MtCaroline.au all values divide by 10 UNC.us all values x 10 CBGB.us all values x 10 Summ.za all values x 10 valm.ch all values x 100 Smith.us x10 An Author correction has been submitted to Nature Ecology and Evolution.,
Date made availableMar 1 2019
PublisherDRYAD

Cite this