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Title: The impact of alternative trait-scaling hypotheses for the maximum photosynthetic carboxylation rate (V cmax) on global gross primary production [The impact of alternative Vcmax trait-scaling hypotheses on global gross primary production]

Abstract

The maximum photosynthetic carboxylation rate (Vcmax) is an influential plant trait that has multiple scaling hypotheses, which is a source of uncertainty in predictive understanding of global gross primary production (GPP). Four trait-scaling hypotheses (plant functional type, nutrient limitation, environmental filtering, and plant plasticity) with nine specific implementations were used to predict global Vcmax distributions and their impact on global GPP in the Sheffield Dynamic Global Vegetation Model (SDGVM). Global GPP varied from 108.1 to 128.2 PgC yr-1, 65% of the range of a recent model intercomparison of global GPP. The variation in GPP propagated through to a 27% coefficient of variation in net biome productivity (NBP). All hypotheses produced global GPP that was highly correlated (r = 0.85–0.91) with three proxies of global GPP. Plant functional type-based nutrient limitation, underpinned by a core SDGVM hypothesis that plant nitrogen (N) status is inversely related to increasing costs of N acquisition with increasing soil carbon, adequately reproduced global GPP distributions. Further improvement could be achieved with accurate representation of water sensitivity and agriculture in SDGVM. Mismatch between environmental filtering (the most data-driven hypothesis) and GPP suggested that greater effort is needed understand Vcmax variation in the field, particularly in northern latitudes.

Authors:
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [9]; ORCiD logo [10];  [7]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Univ. of Sheffield, Western Bank (United Kingdom)
  2. Univ. of Reading, Reading (United Kingdom)
  3. Leiden Univ., Leiden (The Netherlands)
  4. Macquarie Univ., Sydney, NSW (Australia)
  5. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  6. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)
  7. Univ. of Sheffield, Western Bank (United Kingdom)
  8. Univ. Paris-Saclay, Gif-sur-Yvette (France)
  9. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  10. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1376330
Alternate Identifier(s):
OSTI ID: 1476530
Grant/Contract Number:  
AC05-00OR22725; AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
New Phytologist
Additional Journal Information:
Journal Volume: 215; Journal Issue: 4; Journal ID: ISSN 0028-646X
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; assumption-centred modelling; co-ordination hypothesis; Dynamic Global Vegetation Model (DGVM); gross primary production (GPP); modelling photosynthesis; plant functional traits; terrestrial carbon cycle; trait-based modelling

Citation Formats

Walker, Anthony P., Quaife, Tristan, van Bodegom, Peter M., De Kauwe, Martin G., Keenan, Trevor F., Joiner, Joanna, Lomas, Mark R., MacBean, Natasha, Xu, Chongang, Yang, Xiaojuan, and Woodward, F. Ian. The impact of alternative trait-scaling hypotheses for the maximum photosynthetic carboxylation rate (V cmax) on global gross primary production [The impact of alternative Vcmax trait-scaling hypotheses on global gross primary production]. United States: N. p., 2017. Web. doi:10.1111/nph.14623.
Walker, Anthony P., Quaife, Tristan, van Bodegom, Peter M., De Kauwe, Martin G., Keenan, Trevor F., Joiner, Joanna, Lomas, Mark R., MacBean, Natasha, Xu, Chongang, Yang, Xiaojuan, & Woodward, F. Ian. The impact of alternative trait-scaling hypotheses for the maximum photosynthetic carboxylation rate (V cmax) on global gross primary production [The impact of alternative Vcmax trait-scaling hypotheses on global gross primary production]. United States. https://doi.org/10.1111/nph.14623
Walker, Anthony P., Quaife, Tristan, van Bodegom, Peter M., De Kauwe, Martin G., Keenan, Trevor F., Joiner, Joanna, Lomas, Mark R., MacBean, Natasha, Xu, Chongang, Yang, Xiaojuan, and Woodward, F. Ian. Fri . "The impact of alternative trait-scaling hypotheses for the maximum photosynthetic carboxylation rate (V cmax) on global gross primary production [The impact of alternative Vcmax trait-scaling hypotheses on global gross primary production]". United States. https://doi.org/10.1111/nph.14623. https://www.osti.gov/servlets/purl/1376330.
@article{osti_1376330,
title = {The impact of alternative trait-scaling hypotheses for the maximum photosynthetic carboxylation rate (V cmax) on global gross primary production [The impact of alternative Vcmax trait-scaling hypotheses on global gross primary production]},
author = {Walker, Anthony P. and Quaife, Tristan and van Bodegom, Peter M. and De Kauwe, Martin G. and Keenan, Trevor F. and Joiner, Joanna and Lomas, Mark R. and MacBean, Natasha and Xu, Chongang and Yang, Xiaojuan and Woodward, F. Ian},
abstractNote = {The maximum photosynthetic carboxylation rate (Vcmax) is an influential plant trait that has multiple scaling hypotheses, which is a source of uncertainty in predictive understanding of global gross primary production (GPP). Four trait-scaling hypotheses (plant functional type, nutrient limitation, environmental filtering, and plant plasticity) with nine specific implementations were used to predict global Vcmax distributions and their impact on global GPP in the Sheffield Dynamic Global Vegetation Model (SDGVM). Global GPP varied from 108.1 to 128.2 PgC yr-1, 65% of the range of a recent model intercomparison of global GPP. The variation in GPP propagated through to a 27% coefficient of variation in net biome productivity (NBP). All hypotheses produced global GPP that was highly correlated (r = 0.85–0.91) with three proxies of global GPP. Plant functional type-based nutrient limitation, underpinned by a core SDGVM hypothesis that plant nitrogen (N) status is inversely related to increasing costs of N acquisition with increasing soil carbon, adequately reproduced global GPP distributions. Further improvement could be achieved with accurate representation of water sensitivity and agriculture in SDGVM. Mismatch between environmental filtering (the most data-driven hypothesis) and GPP suggested that greater effort is needed understand Vcmax variation in the field, particularly in northern latitudes.},
doi = {10.1111/nph.14623},
journal = {New Phytologist},
number = 4,
volume = 215,
place = {United States},
year = {Fri Jun 23 00:00:00 EDT 2017},
month = {Fri Jun 23 00:00:00 EDT 2017}
}

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