Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity

A Traceability Analysis in the East Asian Monsoon Region

Erqian Cui, Kun Huang, Muhammad Altaf Arain, Joshua B. Fisher, Deborah N Huntzinger, Akihiko Ito, Yiqi Luo, Atul K. Jain, Jiafu Mao, Anna M. Michalak, Shuli Niu, Nicholas C. Parazoo, Changhui Peng, Shushi Peng, Benjamin Poulter, Daniel M. Ricciuto, Kevin M. Schaefer, Christopher R Schwalm, Xiaoying Shi, Hanqin Tian & 8 others Weile Wang, Jinsong Wang, Yaxing Wei, Enrong Yan, Liming Yan, Ning Zeng, Qiuan Zhu, Jianyang Xia

Research output: Contribution to journalArticle

Abstract

Global and regional projections of climate change by Earth system models are limited by their uncertain estimates of terrestrial ecosystem productivity. At the middle to low latitudes, the East Asian monsoon region has higher productivity than forests in Europe-Africa and North America, but its estimate by current generation of terrestrial biosphere models (TBMs) has seldom been systematically evaluated. Here, we developed a traceability framework to evaluate the simulated gross primary productivity (GPP) by 15 TBMs in the East Asian monsoon region. The framework links GPP to net primary productivity, biomass, leaf area and back to GPP via incorporating multiple vegetation functional properties of carbon-use efficiency (CUE), vegetation C turnover time (τveg), leaf C fraction (Fleaf), specific leaf area (SLA), and leaf area index (LAI)-level photosynthesis (PLAI), respectively. We then applied a relative importance algorithm to attribute intermodel variation at each node. The results showed that large intermodel variation in GPP over 1901–2010 were mainly propagated from their different representation of vegetation functional properties. For example, SLA explained 77% of the intermodel difference in leaf area, which contributed 90% to the simulated GPP differences. In addition, the models simulated higher CUE (18.1 ± 21.3%), τveg (18.2 ± 26.9%), and SLA (27.4±36.5%) than observations, leading to the overestimation of simulated GPP across the East Asian monsoon region. These results suggest the large uncertainty of current TBMs in simulating GPP is largely propagated from their poor representation of the vegetation functional properties and call for a better understanding of the covariations between plant functional properties in terrestrial ecosystems.

Original languageEnglish (US)
Pages (from-to)668-689
Number of pages22
JournalGlobal Biogeochemical Cycles
Volume33
Issue number6
DOIs
StatePublished - Jun 1 2019

Fingerprint

Ecosystems
monsoon
Productivity
productivity
ecosystem
vegetation
leaf area
biosphere
terrestrial ecosystem
Carbon
analysis
Uncertainty
Photosynthesis
carbon
Climate change
leaf area index
turnover
photosynthesis
Biomass
Earth (planet)

Keywords

  • environmental drivers
  • initial conditions
  • model uncertainty
  • MsTMIP
  • relative importance
  • vegetation functional property

ASJC Scopus subject areas

  • Global and Planetary Change
  • Environmental Chemistry
  • Environmental Science(all)
  • Atmospheric Science

Cite this

Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity : A Traceability Analysis in the East Asian Monsoon Region. / Cui, Erqian; Huang, Kun; Arain, Muhammad Altaf; Fisher, Joshua B.; Huntzinger, Deborah N; Ito, Akihiko; Luo, Yiqi; Jain, Atul K.; Mao, Jiafu; Michalak, Anna M.; Niu, Shuli; Parazoo, Nicholas C.; Peng, Changhui; Peng, Shushi; Poulter, Benjamin; Ricciuto, Daniel M.; Schaefer, Kevin M.; Schwalm, Christopher R; Shi, Xiaoying; Tian, Hanqin; Wang, Weile; Wang, Jinsong; Wei, Yaxing; Yan, Enrong; Yan, Liming; Zeng, Ning; Zhu, Qiuan; Xia, Jianyang.

In: Global Biogeochemical Cycles, Vol. 33, No. 6, 01.06.2019, p. 668-689.

Research output: Contribution to journalArticle

Cui, E, Huang, K, Arain, MA, Fisher, JB, Huntzinger, DN, Ito, A, Luo, Y, Jain, AK, Mao, J, Michalak, AM, Niu, S, Parazoo, NC, Peng, C, Peng, S, Poulter, B, Ricciuto, DM, Schaefer, KM, Schwalm, CR, Shi, X, Tian, H, Wang, W, Wang, J, Wei, Y, Yan, E, Yan, L, Zeng, N, Zhu, Q & Xia, J 2019, 'Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region', Global Biogeochemical Cycles, vol. 33, no. 6, pp. 668-689. https://doi.org/10.1029/2018GB005909
Cui, Erqian ; Huang, Kun ; Arain, Muhammad Altaf ; Fisher, Joshua B. ; Huntzinger, Deborah N ; Ito, Akihiko ; Luo, Yiqi ; Jain, Atul K. ; Mao, Jiafu ; Michalak, Anna M. ; Niu, Shuli ; Parazoo, Nicholas C. ; Peng, Changhui ; Peng, Shushi ; Poulter, Benjamin ; Ricciuto, Daniel M. ; Schaefer, Kevin M. ; Schwalm, Christopher R ; Shi, Xiaoying ; Tian, Hanqin ; Wang, Weile ; Wang, Jinsong ; Wei, Yaxing ; Yan, Enrong ; Yan, Liming ; Zeng, Ning ; Zhu, Qiuan ; Xia, Jianyang. / Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity : A Traceability Analysis in the East Asian Monsoon Region. In: Global Biogeochemical Cycles. 2019 ; Vol. 33, No. 6. pp. 668-689.
@article{a54f205f95eb49fea899aa8ddce38485,
title = "Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region",
abstract = "Global and regional projections of climate change by Earth system models are limited by their uncertain estimates of terrestrial ecosystem productivity. At the middle to low latitudes, the East Asian monsoon region has higher productivity than forests in Europe-Africa and North America, but its estimate by current generation of terrestrial biosphere models (TBMs) has seldom been systematically evaluated. Here, we developed a traceability framework to evaluate the simulated gross primary productivity (GPP) by 15 TBMs in the East Asian monsoon region. The framework links GPP to net primary productivity, biomass, leaf area and back to GPP via incorporating multiple vegetation functional properties of carbon-use efficiency (CUE), vegetation C turnover time (τveg), leaf C fraction (Fleaf), specific leaf area (SLA), and leaf area index (LAI)-level photosynthesis (PLAI), respectively. We then applied a relative importance algorithm to attribute intermodel variation at each node. The results showed that large intermodel variation in GPP over 1901–2010 were mainly propagated from their different representation of vegetation functional properties. For example, SLA explained 77{\%} of the intermodel difference in leaf area, which contributed 90{\%} to the simulated GPP differences. In addition, the models simulated higher CUE (18.1 ± 21.3{\%}), τveg (18.2 ± 26.9{\%}), and SLA (27.4±36.5{\%}) than observations, leading to the overestimation of simulated GPP across the East Asian monsoon region. These results suggest the large uncertainty of current TBMs in simulating GPP is largely propagated from their poor representation of the vegetation functional properties and call for a better understanding of the covariations between plant functional properties in terrestrial ecosystems.",
keywords = "environmental drivers, initial conditions, model uncertainty, MsTMIP, relative importance, vegetation functional property",
author = "Erqian Cui and Kun Huang and Arain, {Muhammad Altaf} and Fisher, {Joshua B.} and Huntzinger, {Deborah N} and Akihiko Ito and Yiqi Luo and Jain, {Atul K.} and Jiafu Mao and Michalak, {Anna M.} and Shuli Niu and Parazoo, {Nicholas C.} and Changhui Peng and Shushi Peng and Benjamin Poulter and Ricciuto, {Daniel M.} and Schaefer, {Kevin M.} and Schwalm, {Christopher R} and Xiaoying Shi and Hanqin Tian and Weile Wang and Jinsong Wang and Yaxing Wei and Enrong Yan and Liming Yan and Ning Zeng and Qiuan Zhu and Jianyang Xia",
year = "2019",
month = "6",
day = "1",
doi = "10.1029/2018GB005909",
language = "English (US)",
volume = "33",
pages = "668--689",
journal = "Global Biogeochemical Cycles",
issn = "0886-6236",
publisher = "American Geophysical Union",
number = "6",

}

TY - JOUR

T1 - Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity

T2 - A Traceability Analysis in the East Asian Monsoon Region

AU - Cui, Erqian

AU - Huang, Kun

AU - Arain, Muhammad Altaf

AU - Fisher, Joshua B.

AU - Huntzinger, Deborah N

AU - Ito, Akihiko

AU - Luo, Yiqi

AU - Jain, Atul K.

AU - Mao, Jiafu

AU - Michalak, Anna M.

AU - Niu, Shuli

AU - Parazoo, Nicholas C.

AU - Peng, Changhui

AU - Peng, Shushi

AU - Poulter, Benjamin

AU - Ricciuto, Daniel M.

AU - Schaefer, Kevin M.

AU - Schwalm, Christopher R

AU - Shi, Xiaoying

AU - Tian, Hanqin

AU - Wang, Weile

AU - Wang, Jinsong

AU - Wei, Yaxing

AU - Yan, Enrong

AU - Yan, Liming

AU - Zeng, Ning

AU - Zhu, Qiuan

AU - Xia, Jianyang

PY - 2019/6/1

Y1 - 2019/6/1

N2 - Global and regional projections of climate change by Earth system models are limited by their uncertain estimates of terrestrial ecosystem productivity. At the middle to low latitudes, the East Asian monsoon region has higher productivity than forests in Europe-Africa and North America, but its estimate by current generation of terrestrial biosphere models (TBMs) has seldom been systematically evaluated. Here, we developed a traceability framework to evaluate the simulated gross primary productivity (GPP) by 15 TBMs in the East Asian monsoon region. The framework links GPP to net primary productivity, biomass, leaf area and back to GPP via incorporating multiple vegetation functional properties of carbon-use efficiency (CUE), vegetation C turnover time (τveg), leaf C fraction (Fleaf), specific leaf area (SLA), and leaf area index (LAI)-level photosynthesis (PLAI), respectively. We then applied a relative importance algorithm to attribute intermodel variation at each node. The results showed that large intermodel variation in GPP over 1901–2010 were mainly propagated from their different representation of vegetation functional properties. For example, SLA explained 77% of the intermodel difference in leaf area, which contributed 90% to the simulated GPP differences. In addition, the models simulated higher CUE (18.1 ± 21.3%), τveg (18.2 ± 26.9%), and SLA (27.4±36.5%) than observations, leading to the overestimation of simulated GPP across the East Asian monsoon region. These results suggest the large uncertainty of current TBMs in simulating GPP is largely propagated from their poor representation of the vegetation functional properties and call for a better understanding of the covariations between plant functional properties in terrestrial ecosystems.

AB - Global and regional projections of climate change by Earth system models are limited by their uncertain estimates of terrestrial ecosystem productivity. At the middle to low latitudes, the East Asian monsoon region has higher productivity than forests in Europe-Africa and North America, but its estimate by current generation of terrestrial biosphere models (TBMs) has seldom been systematically evaluated. Here, we developed a traceability framework to evaluate the simulated gross primary productivity (GPP) by 15 TBMs in the East Asian monsoon region. The framework links GPP to net primary productivity, biomass, leaf area and back to GPP via incorporating multiple vegetation functional properties of carbon-use efficiency (CUE), vegetation C turnover time (τveg), leaf C fraction (Fleaf), specific leaf area (SLA), and leaf area index (LAI)-level photosynthesis (PLAI), respectively. We then applied a relative importance algorithm to attribute intermodel variation at each node. The results showed that large intermodel variation in GPP over 1901–2010 were mainly propagated from their different representation of vegetation functional properties. For example, SLA explained 77% of the intermodel difference in leaf area, which contributed 90% to the simulated GPP differences. In addition, the models simulated higher CUE (18.1 ± 21.3%), τveg (18.2 ± 26.9%), and SLA (27.4±36.5%) than observations, leading to the overestimation of simulated GPP across the East Asian monsoon region. These results suggest the large uncertainty of current TBMs in simulating GPP is largely propagated from their poor representation of the vegetation functional properties and call for a better understanding of the covariations between plant functional properties in terrestrial ecosystems.

KW - environmental drivers

KW - initial conditions

KW - model uncertainty

KW - MsTMIP

KW - relative importance

KW - vegetation functional property

UR - http://www.scopus.com/inward/record.url?scp=85067405401&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85067405401&partnerID=8YFLogxK

U2 - 10.1029/2018GB005909

DO - 10.1029/2018GB005909

M3 - Article

VL - 33

SP - 668

EP - 689

JO - Global Biogeochemical Cycles

JF - Global Biogeochemical Cycles

SN - 0886-6236

IS - 6

ER -