The impact of alternative trait-scaling hypotheses for the maximum photosynthetic carboxylation rate (Vcmax) on global gross primary production

被引：105

作者：

Walker, Anthony P. ^{[1
,2
,3
]}

Quaife, Tristan ^{[4
]}

van Bodegom, Peter M. ^{[5
]}

De Kauwe, Martin G. ^{[6
]}

Keenan, Trevor F. ^{[7
]}

Joiner, Joanna ^{[8
]}

Lomas, Mark R. ^{[3
]}

MacBean, Natasha ^{[9
]}

Xu, Chongang ^{[10
]}

Yang, Xiaojuan ^{[1
,2
]}

Woodward, F. Ian ^{[3
]}

机构：

[1] Oak Ridge Natl Lab, Div Environm Sci, Oak Ridge, TN 37830 USA

[2] Climate Change Sci Inst, Oak Ridge, TN 37830 USA

[3] Univ Sheffield, Dept Anim & Plant Sci, Alfred Denny Bldg, Sheffield S10 2TN, S Yorkshire, England

[4] Univ Reading, Dept Meteorol, Natl Ctr Earth Observat, Reading RG6 6BX, Berks, England

[5] Leiden Univ, Inst Environm Sci, NL-2333 CC Leiden, Netherlands

[6] Macquarie Univ, Dept Biol Sci, Sydney, NSW 2109, Australia

[7] Lawrence Berkeley Natl Lab, Div Earth Sci, 1 Cyclotron Rd, Berkeley, CA 94720 USA

[8] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA

[9] Univ Paris Saclay, Lab Sci Climat & Environnement, LSCE IPSL, CEA CNRS UVSQ, F-91191 Gif Sur Yvette, France

[10] Los Alamos Natl Lab, Earth & Environm Sci Div, Los Alamos, NM 87544 USA

来源：

NEW PHYTOLOGIST | 2017年 / 215卷 / 04期

基金：

英国自然环境研究理事会;

关键词：

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; PLANT FUNCTIONAL TYPES; TERRESTRIAL CHLOROPHYLL FLUORESCENCE; VEGETATION MODELS; LEAF NITROGEN; BIOCHEMICAL-MODEL; FOREST; CLIMATE; CO2; TEMPERATURE; CAPACITY;

D O I：

10.1111/nph.14623

中图分类号：

Q94 [植物学];

学科分类号：

071001 ;

摘要：

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 inter-comparison 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.

引用

页码：1370 / 1386

页数：17