In:
New Phytologist, Wiley, Vol. 215, No. 4 ( 2017-09), p. 1370-1386
Abstract:
The maximum photosynthetic carboxylation rate ( V cmax ) 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 V cmax 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 V cmax variation in the field, particularly in northern latitudes.
Type of Medium:
Online Resource
ISSN:
0028-646X
,
1469-8137
DOI:
10.1111/nph.2017.215.issue-4
Language:
English
Publisher:
Wiley
Publication Date:
2017
detail.hit.zdb_id:
208885-X
detail.hit.zdb_id:
1472194-6