Underestimated Interannual Variability of Terrestrial Vegetation Production by Terrestrial Ecosystem Models
文献类型：期刊论文
| 作者 | Lin, Shangrong1,2; Hu, Zhongmin2,3; Wang, Yingping4; Chen, Xiuzhi1,2; He, Bin5; Song, Zhaoliang6; Sun, Shaobo6; Wu, Chaoyang7; Zheng, Yi1,2; Xia, Xiaosheng1 |
| 刊名 | GLOBAL BIOGEOCHEMICAL CYCLES
 |
| 出版日期 | 2023-04-01 |
| 卷号 | 37期号:4页码:15 |
| ISSN号 | 0886-6236 |
| 关键词 | interannual variability GPP LAI terrestrial ecosystem model |
| DOI | 10.1029/2023GB007696 |
| 通讯作者 | Yuan, Wenping(yuanwp3@mail.sysu.edu.cn) |
| 英文摘要 | Vegetation gross primary production (GPP) is the largest terrestrial carbon flux and plays an important role in regulating the carbon sink. Current terrestrial ecosystem models (TEMs) are indispensable tools for evaluating and predicting GPP. However, to which degree the TEMs can capture the interannual variability (IAV) of GPP remains unclear. With large data sets of remote sensing, in situ observations, and predictions of TEMs at a global scale, this study found that the current TEMs substantially underestimate the GPP IAV in comparison to observations at global flux towers. Our results also showed the larger underestimations of IAV in GPP at nonforest ecosystem types than forest types, especially in arid and semiarid grassland and shrubland. One cause of the underestimation is that the IAV in GPP predicted by models is strongly dependent on canopy structure, that is, leaf area index (LAI), and the models underestimate the changes of canopy physiology responding to climate change. On the other hand, the simulated interannual variations of LAI are much less than the observed. Our results highlight the importance of improving TEMs by precisely characterizing the contribution of canopy physiological changes on the IAV in GPP and of clarifying the reason for the underestimated IAV in LAI. With these efforts, it may be possible to accurately predict the IAV in GPP and the stability of the global carbon sink in the context of global climate change. |
| WOS关键词 | GROSS PRIMARY PRODUCTIVITY ; PLANT FUNCTIONAL TRAITS ; CARBON FLUXES ; CHLOROPHYLL FLUORESCENCE ; CLIMATE EXTREMES ; WATER ; PHOTOSYNTHESIS ; PRECIPITATION ; BENCHMARKING ; ASSIMILATION |
| 资助项目 | Guangdong Major Project of Basic and Applied Basic Research[2020B0301030004] ; National Natural Science Foundation of China[42101319] ; Fundamental Research Funds for the Central Universities ; Sun Yat-sen University[2021qntd29] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| 出版者 | AMER GEOPHYSICAL UNION |
| WOS记录号 | WOS:001000101400007 |
| 资助机构 | Guangdong Major Project of Basic and Applied Basic Research ; National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities ; Sun Yat-sen University |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/195035]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yuan, Wenping |
| 作者单位 | 1.Sun Yat Sen Univ, Guangdong Prov Data Ctr Terr & Marine Ecosyst Carb, Sch Atmospher Sci, Zhuhai, Peoples R China 2.Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Guangdong, Peoples R China 3.Hainan Univ, Coll Ecol & Environm, Haikou, Peoples R China 4.CSIRO, Oceans & Atmosphere, Aspendale, Vic, Australia 5.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing, Peoples R China 6.Tianjin Univ, Inst Surface Earth Syst Sci, Sch Earth Syst Sci, Tianjin, Peoples R China 7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China 8.Univ Paris Saclay, Lab Sci Climat & Environm, IPSL, CEA CNRS UVSQ, Gif Sur Yvette, France 9.Lund Univ, Dept Phys Geog & Ecosyst Sci, Lund, Sweden 10.Univ Copenhagen, Dept Biol, Copenhagen, Denmark |
| 推荐引用方式 GB/T 7714 | Lin, Shangrong,Hu, Zhongmin,Wang, Yingping,et al. Underestimated Interannual Variability of Terrestrial Vegetation Production by Terrestrial Ecosystem Models[J]. GLOBAL BIOGEOCHEMICAL CYCLES,2023,37(4):15. |
| APA | Lin, Shangrong.,Hu, Zhongmin.,Wang, Yingping.,Chen, Xiuzhi.,He, Bin.,...&Yuan, Wenping.(2023).Underestimated Interannual Variability of Terrestrial Vegetation Production by Terrestrial Ecosystem Models.GLOBAL BIOGEOCHEMICAL CYCLES,37(4),15. |
| MLA | Lin, Shangrong,et al."Underestimated Interannual Variability of Terrestrial Vegetation Production by Terrestrial Ecosystem Models".GLOBAL BIOGEOCHEMICAL CYCLES 37.4(2023):15. |
入库方式： OAI收割
来源：地理科学与资源研究所
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