Shushi Peng


DOI bib
Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region
Erqian Cui, Kun Huang, M. Altaf Arain, Joshua B. Fisher, D. N. Huntzinger, Akihiko Ito, Yiqi Luo, Atul K. Jain, Jiafu Mao, A. M. Michalak, Shuli Niu, Nicholas C. Parazoo, Changhui Peng, Shushi Peng, Benjamin Poulter, Daniel M. Ricciuto, Kevin Schaefer, Christopher R. Schwalm, Xiaoying Shi, Hanqin Tian, Weile Wang, Jinsong Wang, Yaxing Wei, En‐Rong Yan, Liming Yan, Ning Zeng, Qiuan Zhu, Jianyang Xia
Global Biogeochemical Cycles, Volume 33, Issue 6

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.

DOI bib
Global vegetation biomass production efficiency constrained by models and observations
Yue He, Shushi Peng, Yongwen Liu, Xiangyi Li, Kai Wang, Philippe Ciais, M. Altaf Arain, Yuanyuan Fang, Joshua B. Fisher, Daniel Goll, D. J. Hayes, D. N. Huntzinger, Akihiko Ito, Atul K. Jain, Ivan A. Janssens, Jiafu Mao, Matteo Campioli, A. M. Michalak, Changhui Peng, Josep Peñuelas, Benjamin Poulter, Dahe Qin, Daniel M. Ricciuto, Kevin Schaefer, Christopher R. Schwalm, Xiaoying Shi, Hanqin Tian, Sara Vicca, Yaxing Wei, Ning Zeng, Qiuan Zhu
Global Change Biology, Volume 26, Issue 3

Plants use only a fraction of their photosynthetically derived carbon for biomass production (BP). The biomass production efficiency (BPE), defined as the ratio of BP to photosynthesis, and its variation across and within vegetation types is poorly understood, which hinders our capacity to accurately estimate carbon turnover times and carbon sinks. Here, we present a new global estimation of BPE obtained by combining field measurements from 113 sites with 14 carbon cycle models. Our best estimate of global BPE is 0.41 ± 0.05, excluding cropland. The largest BPE is found in boreal forests (0.48 ± 0.06) and the lowest in tropical forests (0.40 ± 0.04). Carbon cycle models overestimate BPE, although models with carbon-nitrogen interactions tend to be more realistic. Using observation-based estimates of global photosynthesis, we quantify the global BP of non-cropland ecosystems of 41 ± 6 Pg C/year. This flux is less than net primary production as it does not contain carbon allocated to symbionts, used for exudates or volatile carbon compound emissions to the atmosphere. Our study reveals a positive bias of 24 ± 11% in the model-estimated BP (10 of 14 models). When correcting models for this bias while leaving modeled carbon turnover times unchanged, we found that the global ecosystem carbon storage change during the last century is decreased by 67% (or 58 Pg C).