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4. The carbon budget of China: 1980–2021

Author

Xia, Xiaosheng, Ren, Peiyang, Wang, Xuhui, Liu, Dan, Chen, Xiuzhi, Dan, Li, He, Bin, He, Honglin, Ju, Weimin, Liang, Minqi, Lu, Xingjie, Peng, Jing, Qin, Zhangcai, Xia, Jiangzhou, Zheng, Bo, Wei, Jing, Yue, Xu, Yu, Guirui, Piao, Shilong, and Yuan, Wenping

Published
2024
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7. The carbon budget of China: 1980–2021

Author

Xia, Xiaosheng, primary, Ren, Peiyang, additional, Wang, Xuhui, additional, Liu, Dan, additional, Chen, Xiuzhi, additional, Dan, Li, additional, He, Bin, additional, He, Honglin, additional, Ju, Weimin, additional, Liang, Minqi, additional, Lu, Xinjie, additional, Peng, Jing, additional, Qin, Zhangcai, additional, Xia, Jiangzhou, additional, Zheng, Bo, additional, Wei, Jing, additional, Yue, Xu, additional, Yu, Guirui, additional, Piao, Shilong, additional, and Yuan, Wenping, additional

Published
2023
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11. Soil Organic Carbon Lateral Movement Processes Integrated Into a Terrestrial Ecosystem Model.

Author

Lu, Haibo, Wang, Xiaoyuan, Zhang, Haicheng, Xie, Xianhong, Nakhavali, Mahdi, Quine, Timothy A., Xu, Wenfang, Xia, Jiangzhou, He, Bin, Hao, Zhixin, Geng, Xiu, and Yuan, Wenping

Subjects
CARBON cycle, DISSOLVED organic matter, CARBON in soils, ECOSYSTEMS, SOIL erosion, COLLOIDAL carbon, WATERSHEDS
Abstract

Lateral movement of soil organic carbon (SOC) induced by soil erosion and runoff changes spatial distributions of SOC, and further changes the land‐atmosphere CO2 exchange and terrestrial carbon budget. However, current ecosystem models do not or only poorly integrate the process of SOC lateral movement and cannot simulate the impacts of soil erosion on the carbon cycle. This study integrated SOC erosion and deposition processes into a process‐based ecosystem model (i.e., Integrated BIosphere Simulator (IBIS)), and separately simulated the lateral movements of dissolved organic carbon (DOC) and particulate organic carbon (POC). The model was evaluated in three river basins in Northeast China that are dominated by cropland, forest, and grassland. The results showed that the model reproduced well the production, erosion, and deposition of DOC and POC. The annual SOC lateral movement (1.34–7.22 g C m−2 yr−1) induced by erosion in the three tested basins was 0.27%–1.45% of the annual net primary production. The model developed in this study has great implications for simulating the lateral movements of SOC in terrestrial ecosystems, which can improve model performance in projecting the terrestrial carbon budget. Plain Language Summary: Lateral movement of soil organic carbon (SOC) with soil erosion and runoff is an important process in estimating land carbon budget. However, the current ecosystem models are not or poorly integrated this process, and cannot simulate the impacts of lateral movement of SOC on carbon cycle. This study integrates SOC erosion and deposition processes into a process‐based ecosystem model (Integrated BIosphere Simulator (IBIS)), and separately simulates the lateral movements of dissolved organic carbon (DOC) and particulate organic carbon (POC). The model was evaluated at three river basins in Northeast China dominated by cropland, forest and grassland, respectively. The results showed the model can reproduce well the production, erosion, deposition of DOC and POC. The model developed in this study has great implications for simulating the lateral movements of SOC in terrestrial ecosystem, which can improve model performance on projecting terrestrial carbon budget. Key Points: Current ecosystem models inadequately depict the lateral movement of SOC, causing uncertainties in terrestrial carbon cycle modelingWe integrated SOC erosion and deposition into a process‐based ecosystem model and evaluated it in three Chinese river basinsModel simulations well represented observed data for the production, erosion, and deposition of organic carbon [ABSTRACT FROM AUTHOR]

Published
2024
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15. Vegetation-specific model parameters are not required for estimating gross primary production

Author

Yuan, Wenping, Cai, Wenwen, Liu, Shuguang, Dong, Wenjie, Chen, Jiquan, Arain, M. Altaf, Blanken, Peter D., Cescatti, Alessandro, Wohlfahrt, Georg, Georgiadis, Teodoro, Genesio, Lorenzo, Gianelle, Damiano, Grelle, Achim, Kiely, Gerard, Knohl, Alexander, Liu, Dan, Marek, Michal V., Merbold, Lutz, Montagnani, Leonardo, Panferov, Oleg, Peltoniemi, Mikko, Rambal, Serge, Raschi, Antonio, Varlagin, Andrej, and Xia, Jiangzhou

Published
2014
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16. Global comparison of light use efficiency models for simulating terrestrial vegetation gross primary production based on the LaThuile database

Author

Yuan, Wenping, Cai, Wenwen, Xia, Jiangzhou, Chen, Jiquan, Liu, Shuguang, Dong, Wenjie, Merbold, Lutz, Law, Beverly, Arain, Altaf, Beringer, Jason, Bernhofer, Christian, Black, Andy, Blanken, Peter D., Cescatti, Alessandro, Chen, Yang, Francois, Louis, Gianelle, Damiano, Janssens, Ivan A., Jung, Martin, Kato, Tomomichi, Kiely, Gerard, Liu, Dan, Marcolla, Barbara, Montagnani, Leonardo, Raschi, Antonio, Roupsard, Olivier, Varlagin, Andrej, and Wohlfahrt, Georg

Published
2014
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19. Estimation of gross primary production over the terrestrial ecosystems in China

Author

Li, Xianglan, Liang, Shunlin, Yu, Guirui, Yuan, Wenping, Cheng, Xiao, Xia, Jiangzhou, Zhao, Tianbao, Feng, Jinming, Ma, Zhuguo, Ma, Mingguo, Liu, Shaomin, Chen, Jiquan, Shao, Changliang, Li, Shenggong, Zhang, Xudong, Zhang, Zhiqiang, Chen, Shiping, Ohta, Takeshi, Varlagin, Andrej, Miyata, Akira, Takagi, Kentaro, Saiqusa, Nobuko, and Kato, Tomomichi

Published
2013
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25. Global Patterns in Net Primary Production Allocation Regulated by Environmental Conditions and Forest Stand Age: A Model‐Data Comparison

Author

Xia, Jiangzhou, primary, Yuan, Wenping, additional, Lienert, Sebastian, additional, Joos, Fortunat, additional, Ciais, Philippe, additional, Viovy, Nicolas, additional, Wang, Ying‐ping, additional, Wang, Xufeng, additional, Zhang, Haicheng, additional, Chen, Yang, additional, and Tian, Xiangjun, additional

Published
2019
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31. Influence of Vegetation Growth on the Enhanced Seasonality of Atmospheric CO2.

Author

Yuan, Wenping, Piao, Shilong, Qin, Dahe, Dong, Wenjie, Xia, Jiangzhou, Lin, Hui, and Chen, Min

Subjects
PLANT growth, ATMOSPHERIC carbon dioxide, RESPIRATION in plants, NORMALIZED difference vegetation index, ECOSYSTEMS
Abstract

Abstract: The amplitude of seasonal fluctuations in concentrations of atmospheric CO2 has increased over recent decades. Model‐based studies suggest that this increase could be the result of enhanced vegetation growth during the growing season and ecosystem respiration in the nongrowing season. Here we investigated seasonal changes in vegetation growth derived from satellite‐based observations of the normalized difference vegetation index (NDVI) from 1982 to 2013. We found notable agreement between these observations and interannual variations of seasonality of global atmospheric CO2, suggesting that terrestrial vegetation growth is the dominant driver of the seasonality of the concentration of atmospheric CO2. Specifically, we found that the trend in seasonality of global vegetation growth was not continuous from 1982 to 2013 and that it increased substantially after 2001. In response, the trend of seasonality in the concentration of atmospheric CO2 stalled from 1982 to 2000 but increased from 2001 onward. This 2001 change in the growth seasonality trend was largely a result of decreased NDVI during spring and winter. CMIP5 models were unable to reproduce this observed seasonality. Our results showed the dominant role played by vegetation growth in determining atmospheric CO2 seasonality, highlighting the need to improve representation of vegetation growth in current terrestrial models to adequately indicate seasonal changes in the concentration of atmospheric CO2. [ABSTRACT FROM AUTHOR]

Published
2018
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35. Satellite-Based Analysis of Evapotranspiration and Water Balance in the Grassland Ecosystems of Dryland East Asia

Author

Xia, Jiangzhou, primary, Liang, Shunlin, additional, Chen, Jiquan, additional, Yuan, Wenping, additional, Liu, Shuguang, additional, Li, Linghao, additional, Cai, Wenwen, additional, Zhang, Li, additional, Fu, Yang, additional, Zhao, Tianbao, additional, Feng, Jinming, additional, Ma, Zhuguo, additional, Ma, Mingguo, additional, Liu, Shaomin, additional, Zhou, Guangsheng, additional, Asanuma, Jun, additional, Chen, Shiping, additional, Du, Mingyuan, additional, Davaa, Gombo, additional, Kato, Tomomichi, additional, Liu, Qiang, additional, Liu, Suhong, additional, Li, Shenggong, additional, Shao, Changliang, additional, Tang, Yanhong, additional, and Zhao, Xiang, additional

Published
2014
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36. Multiyear precipitation reduction strongly decreases carbon uptake over northern China

Author

Yuan, Wenping, primary, Liu, Dan, additional, Dong, Wenjie, additional, Liu, Shuguang, additional, Zhou, Guangsheng, additional, Yu, Guirui, additional, Zhao, Tianbao, additional, Feng, Jinming, additional, Ma, Zhuguo, additional, Chen, Jiquan, additional, Chen, Yang, additional, Chen, Shiping, additional, Han, Shijie, additional, Huang, Jianping, additional, Li, Linghao, additional, Liu, Huizhi, additional, Liu, Shaoming, additional, Ma, Mingguo, additional, Wang, Yanfeng, additional, Xia, Jiangzhou, additional, Xu, Wenfang, additional, Zhang, Qiang, additional, Zhao, Xinquang, additional, and Zhao, Liang, additional

Published
2014
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43. Global Patterns in Net Primary Production Allocation Regulated by Environmental Conditions and Forest Stand Age: A Model‐Data Comparison

Author

Xia, Jiangzhou, Yuan, Wenping, Lienert, Sebastian, Joos, Fortunat, Ciais, Philippe, Viovy, Nicolas, Wang, Ying‐Ping, Wang, Xufeng, Zhang, Haicheng, Chen, Yang, and Tian, Xiangjun

Subjects
530 Physics, 15. Life on land
Abstract

The allocation of net primary production (NPP) to different plant structures, such as leaves, wood, and fine roots, plays an important role in the terrestrial carbon cycle. However, the biogeographical patterns of NPP allocation are not well understood. We constructed a global database of forest NPP to investigate the observed spatial patterns of forest NPP allocation, as influenced by environmental drivers and forest stand age. We then examined whether dynamic global vegetation models (DGVMs) could capture these allocation patterns. The NPP allocation response to variations in temperature or precipitation was often opposite in leaves and fine roots, a finding consistent with the functional balance theory for allocation. The observed allocation to fine roots decreased with increasing temperature and precipitation. The observed allocation to wood and leaves decreased with forest stand age. The simulated allocation with five DGVMs was compared with the observations. The five models captured the spatial gradient of lower allocation to fine roots with increasing temperature and precipitation but did not capture coincident gradients in allocation to wood and leaves. None of the five models adequately represented the changes in allocation with forest stand age. Specifically, the models did not reproduce the decrease in allocation to wood and leaves and the increase in allocation to fine roots with increasing forest stand age. An accurate simulation of NPP allocation requires more realistic representation of multiple processes that are closely related to allocation. The NPP allocation database can be used to develop DGVMs.

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