Bibliographie complète
Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region
Type de ressource
Auteurs/contributeurs
- Cui, Erqian (Auteur)
- Huang, Kun (Auteur)
- Arain, Muhammad Altaf (Auteur)
- Fisher, Joshua B. (Auteur)
- Huntzinger, Deborah N. (Auteur)
- Ito, Akihiko (Auteur)
- Luo, Yiqi (Auteur)
- Jain, Atul K. (Auteur)
- Mao, Jiafu (Auteur)
- Michalak, Anna M. (Auteur)
- Niu, Shuli (Auteur)
- Parazoo, Nicholas C. (Auteur)
- Peng, Changhui (Auteur)
- Peng, Shushi (Auteur)
- Poulter, Benjamin (Auteur)
- Ricciuto, Daniel M. (Auteur)
- Schaefer, Kevin M. (Auteur)
- Schwalm, Christopher R. (Auteur)
- Shi, Xiaoying (Auteur)
- Tian, Hanqin (Auteur)
- Wang, Weile (Auteur)
- Wang, Jinsong (Auteur)
- Wei, Yaxing (Auteur)
- Yan, Enrong (Auteur)
- Yan, Liming (Auteur)
- Zeng, Ning (Auteur)
- Zhu, Qiuan (Auteur)
- Xia, Jianyang (Auteur)
Titre
Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region
Résumé
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 (
τ
veg
), leaf C fraction (F
leaf
), specific leaf area (SLA), and leaf area index (LAI)‐level photosynthesis (P
LAI
), 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%),
τ
veg
(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.
,
Key Points
A GPP‐traceability framework is established to diagnose the uncertainty sources of modeled GPP
Large intermodel differences of modeled GPP result from their different representation of vegetation functional properties
Positive bias in simulated GPP over the East Asian monsoon region could be attributed to the higher simulated CUE and SLA comparing with observations
Publication
Global Biogeochemical Cycles
Volume
33
Numéro
6
Pages
668-689
Date
06/2019
Abrév. de revue
Global Biogeochemical Cycles
Langue
en
ISSN
0886-6236, 1944-9224
Titre abrégé
Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity
Consulté le
12/11/2024 21:07
Catalogue de bibl.
DOI.org (Crossref)
Référence
Cui, E., Huang, K., Arain, M. A., Fisher, J. B., Huntzinger, D. N., Ito, A., Luo, Y., Jain, A. K., Mao, J., Michalak, A. M., Niu, S., Parazoo, N. C., Peng, C., Peng, S., Poulter, B., Ricciuto, D. M., Schaefer, K. M., Schwalm, C. R., Shi, X., … Xia, J. (2019). Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region. Global Biogeochemical Cycles, 33(6), 668–689. https://doi.org/10.1029/2018GB005909
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