Leaf dry matter content is better at predicting above-ground net primary production than specific leaf area

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Dangosydd eitem ddigidol (DOI)

  • Simon Mark Smart
    NERC (Centre for Ecology & Hydrology)
  • Helen Glanville
  • Maria del Carmen Blanes
  • Lina Maria Mercado
    College of Life and Environmental Sciences, University of Exeter, Penryn Campus, Penryn, 9 TR10 9EZ, UK.NERC (Centre for Ecology & Hydrology)
  • Bridget Emmett
  • Bernard Cosby
  • David Jones
  • Robert Hunter Marrs
    Department of Molecular and Clinical Pharmacology, University of Liverpool
  • Adam Butler
    Biomathematics & Statistics Scotland
  • Miles Marshall
  • Sabine Reinsch
  • Cristina Herrero-Jauregui
    Universidad Complutense de Madrid, Madrid, Spain
  • John Gavin Hodgson
    University of Sheffield
Reliable modelling of above-ground net primary production (aNPP) at fine resolution is a significant challenge. A promising avenue for improving process models is to include response and effect trait relationships. However, uncertainties remain over which leaf traits are correlated most strongly with aNPP. We compared abundance-weighted values of two of the most widely used traits from the leaf economics spectrum (specific leaf area and leaf dry matter content) with measured aNPP across a temperate ecosystem gradient. We found that leaf dry matter content (LDMC) as opposed to specific leaf area (SLA) was the superior predictor of aNPP (R-2=055). Directly measured insitu trait values for the dominant species improved estimation of aNPP significantly. Introducing intraspecific trait variation by including the effect of replicated trait values from published databases did not improve the estimation of aNPP. Our results support the prospect of greater scientific understanding for less cost because LDMC is much easier to measure than SLA.

Allweddeiriau

Iaith wreiddiolSaesneg
Tudalennau (o-i)1336-1344
CyfnodolynFunctional Ecology
Cyfrol31
Rhif y cyfnodolyn6
Dyddiad ar-lein cynnar2 Meh 2017
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - Meh 2017

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