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Improving Phenology Representation of Deciduous Forests in the Community Land Model: Evaluation and Modification Using Long-Term Observations in China

文献类型：期刊论文

作者Lv, Yan9,10,11; Zhang, Li1,10,11; Li, Pan8; He, Honglin1,10,11; Ren, Xiaoli1,10,11; Xie, Zongqiang7; Wang, Yang7; Wang, Anzhi6; Shi, Fusun5; Chang, Ruiying4
刊名JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
出版日期2023-10-01
卷号15期号:10页码:23
关键词deciduous phenology gross primary productivity temporal trend interannual variation climate change CLM4.5
DOI10.1029/2023MS003655
通讯作者Zhang, Li(li.zhang@igsnrr.ac.cn) ; He, Honglin(hehl@igsnrr.ac.cn)
英文摘要Phenology is an important factor indicating environmental changes and regulates the variations of carbon, water, and energy exchange. However, phenology models exhibit large uncertainties due to limited understanding of its mechanisms. In this study, we modified deciduous phenology scheme based on the evaluation of different phenological models using long-term observations at Chinese Ecosystem Research Network with CLM4.5. The alternating leaf unfolding model and summer-influenced autumn leaf falling model that we proposed, performed best in simulating leaf-unfolding and leaf-falling. Compared with the observed and remote-sensed phenology, the modified model could better simulate the phenological dates at the site and regional scale. Moreover, the modified model improved the simulation of gross primary productivity (GPP) by decreasing the errors of modeled carbon uptake duration and amplitude. Furthermore, the advance in leaf-unfolding slowed down from 0.20 days/year during 1981-2015 to 0.11 days/year during 2016-2100 under RCP4.5 because of the slowdown of climate warming, but the delay in leaf-falling changed little. By the last decade of the twenty-first century, the leaf-unfolding would advance (8 days) and leaf-falling would delay (16 days). The subtropical region had large interannual variation (IAV) in leaf-unfolding because of the high sensitivity to temperature. The phenological dates IAV in the cold temperate region increased due to enhanced temperature IAV. We suggest that the deciduous phenology models, especially the leaf-falling process, used in Community Land Model need to be improved to reduce the errors in predicting phenology and carbon flux in the future.
WOS关键词TERRESTRIAL CARBON-CYCLE ; SPRING PHENOLOGY ; CLIMATE-CHANGE ; DORMANCY RELEASE ; LEAF SENESCENCE ; INTERANNUAL VARIABILITY ; AUTUMN PHENOLOGY ; BIOSPHERE MODEL ; THERMAL TIME ; TEMPERATE
资助项目This work was supported by the National Natural Science Foundation of China (31971512, 31988102, 42141005). The authors appreciate the field staff from the stations of China Meteorological Administration, Chinese Ecosystem Research Network (Changbaishan, B[31971512] ; This work was supported by the National Natural Science Foundation of China (31971512, 31988102, 42141005). The authors appreciate the field staff from the stations of China Meteorological Administration, Chinese Ecosystem Research Network (Changbaishan, B[31988102] ; This work was supported by the National Natural Science Foundation of China (31971512, 31988102, 42141005). The authors appreciate the field staff from the stations of China Meteorological Administration, Chinese Ecosystem Research Network (Changbaishan, B[42141005] ; National Natural Science Foundation of China ; Chinese Ecosystem Research Network (Changbaishan, Beijing) ; National Science amp; Technology Infrastructure of China[NEX-GDDP-CMIP6] ; National Earth System Science Data Sharing Infrastructure, National Science amp; Technology Infrastructure of China
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
出版者AMER GEOPHYSICAL UNION
WOS记录号WOS:001085876700001
资助机构This work was supported by the National Natural Science Foundation of China (31971512, 31988102, 42141005). The authors appreciate the field staff from the stations of China Meteorological Administration, Chinese Ecosystem Research Network (Changbaishan, B ; National Natural Science Foundation of China ; Chinese Ecosystem Research Network (Changbaishan, Beijing) ; National Science amp; Technology Infrastructure of China ; National Earth System Science Data Sharing Infrastructure, National Science amp; Technology Infrastructure of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/199312]  
专题中国科学院地理科学与资源研究所
通讯作者Zhang, Li; He, Honglin
作者单位1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
2.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Remote Sensing Gansu Prov, Heihe Remote Sensing Expt Res Stn, Lanzhou, Peoples R China
3.Univ New Hampshire, Inst Study Earth Oceans & Space, Earth Syst Res Ctr, Durham, NH USA
4.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu, Peoples R China
5.Chengdu Inst Biol, Chinese Acad Sci, Chengdu, Peoples R China
6.Chinese Acad Sci, Inst Appl Ecol, Shenyang, Peoples R China
7.Chinese Acad Sci, Inst Bot, Beijing, Peoples R China
8.Tianjin Univ, Sch Earth Syst Sci, Tianjin, Peoples R China
9.Univ Chinese Acad Sci, Beijing, Peoples R China
10.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Natl Ecosyst Sci Data Ctr, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Lv, Yan,Zhang, Li,Li, Pan,et al. Improving Phenology Representation of Deciduous Forests in the Community Land Model: Evaluation and Modification Using Long-Term Observations in China[J]. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS,2023,15(10):23.
APA Lv, Yan.,Zhang, Li.,Li, Pan.,He, Honglin.,Ren, Xiaoli.,...&Wang, Xufeng.(2023).Improving Phenology Representation of Deciduous Forests in the Community Land Model: Evaluation and Modification Using Long-Term Observations in China.JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS,15(10),23.
MLA Lv, Yan,et al."Improving Phenology Representation of Deciduous Forests in the Community Land Model: Evaluation and Modification Using Long-Term Observations in China".JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS 15.10(2023):23.

入库方式： OAI收割

来源：地理科学与资源研究所

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