The relationship of woody plant size and leaf nutrient content to large-scale productivity for forests across the Americas

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  • Irena Šímová, Czech Academy of Sciences, Charles University in Prague
  • ,
  • Brody Sandel, Santa Clara University
  • ,
  • Brian J. Enquist, University of Arizona, Santa Fe Institute
  • ,
  • Sean T. Michaletz, University of Arizona, The University of British Columbia
  • ,
  • Jens Kattge, Max Planck Institute for Biogeochemistry, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
  • ,
  • Cyrille Violle, Universite de Montpellier
  • ,
  • Brian J. McGill, University of Maine
  • ,
  • Benjamin Blonder, Oxford University, Oxford, UK., Arizona State University
  • ,
  • Kristine Engemann
  • Robert K. Peet, University of North Carolina
  • ,
  • Susan K. Wiser, Manaaki Whenua - Landcare Research
  • ,
  • Naia Morueta-Holme, Københavns Universitet
  • ,
  • Brad Boyle, University of Arizona, Hardner and Gullison Associates, LLC Amherst
  • ,
  • Nathan J.B. Kraft, University California Los Angeles
  • ,
  • Jens Christian Svenning

Ecosystem processes are driven by both environmental variables and the attributes of component species. The extent to which these effects are independent and/or dependent upon each other has remained unclear. We assess the extent to which climate affects net primary productivity (NPP) both directly and indirectly via its effect on plant size and leaf functional traits. Using species occurrences and functional trait databases for North and South America, we describe the upper limit of woody plant height within 200 × 200 km grid-cells. In addition to maximum tree height, we quantify grid-cell means of three leaf traits (specific leaf area, and leaf nitrogen and phosphorus concentration) also hypothesized to influence productivity. Using structural equation modelling, we test the direct and indirect effects of environment and plant traits on remotely sensed MODIS-derived estimates of NPP, using plant size (satellite-measured canopy height and potential maximum tree height), leaf traits, growing season length, soil nutrients, climate and disturbances as explanatory variables. Our results show that climate affects NPP directly as well as indirectly via plant size in both tropical and temperate forests. In tropical forests NPP further increases with leaf phosphorus concentration, whereas in temperate forests it increases with leaf nitrogen concentration. In boreal forests, NPP most strongly increases with increasing temperature and neither plant size nor leaf traits have a significant influence. Synthesis. Our results suggest that at large spatial scales plant size and leaf nutrient traits can improve predictions of forest productivity over those based on climate alone. However, at higher latitudes their role is overridden by stressful climate. Our results provide independent empirical evidence for where and how global vegetation models predicting carbon fluxes could benefit from including effects of plant size and leaf stoichiometry.

OriginalsprogEngelsk
TidsskriftJournal of Ecology
Vol/bind107
Nummer5
Sider (fra-til)2278-2290
Antal sider13
ISSN0022-0477
DOI
StatusUdgivet - sep. 2019

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