APA
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Cui, E., Huang, K., Arain, M. A., Fisher, J., Huntzinger, D., Ito, A., … Xia, J. (2019). Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region. Global Biogeochemical Cycles.
Chicago/Turabian
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Cui, Erqian, Kun Huang, M. A. Arain, J. Fisher, D. Huntzinger, A. Ito, Yiqi Luo, et al. “Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region.” Global Biogeochemical Cycles (2019).
MLA
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Cui, Erqian, et al. “Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region.” Global Biogeochemical Cycles, 2019.
BibTeX Click to copy
@article{erqian2019a,
title = {Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region},
year = {2019},
journal = {Global Biogeochemical Cycles},
author = {Cui, Erqian and Huang, Kun and Arain, M. A. and Fisher, J. and Huntzinger, D. and Ito, A. and Luo, Yiqi and Jain, A. and Mao, J. and Michalak, A. and Niu, S. and Parazoo, N. and Peng, C. and Peng, S. and Poulter, B. and Ricciuto, D. and Schaefer, K. and Schwalm, C. and Shi, Xiaoying and Tian, H. and Wang, Weile and Wang, Jinsong and Wei, Yaxing and Yan, Enrong and Yan, Liming and Zeng, N. and Zhu, Qiu'an and Xia, J.}
}
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.