Calibration and validation of phenological models for Biome-BGCMuSo in the grasslands of Tibetan Plateau using remote sensing data
文献类型：期刊论文
| 作者 | Zheng, Lei2,3; Qi, Youcun2,3; Wang, Yijie4; Peng, Jie1; Qin, Zhangcai4 |
| 刊名 | AGRICULTURAL AND FOREST METEOROLOGY
 |
| 出版日期 | 2022-07-15 |
| 卷号 | 322页码:13 |
| 关键词 | Phenological model Biome-BGCMuSo Satellite-derived phenology Tibetan Plateau Particle swarm optimization grassland |
| ISSN号 | 0168-1923 |
| DOI | 10.1016/j.agrformet.2022.109001 |
| 通讯作者 | Qi, Youcun(youcun.qi@igsnrr.ac.cn) ; Qin, Zhangcai(qinzhangcai@mail.sysu.edu.cn) |
| 英文摘要 | Modeling vegetation phenology is crucial to assessing how climate change impacts carbon cycles in terrestrial ecosystems. The process-based biogeochemical model Biome-BGCMuSo is widely used for simulating carbon and water storages and fluxes of grassland ecosystems. However, the lack of accurate phenological information, such as the start of the growing season (SOS), impedes better simulations of the biogeochemical processes in the Tibetan Plateau (TP). Here, based on the snow-free satellite-derived SOS and the end of the growing season (EOS) in the TP during 1982-2018, we calibrated and validated three phenological models for SOS (i.e., the Biome-BGC phenological (BBGC) model, the heatsum growing season index (HSGSI) model, and the alpine meadow prognostic phenological (AMPP) model) and five phenological models for EOS (i.e., BBGC, HSGSI, AMPP, the low temperature and photoperiod multiplicative model induced by photoperiod (TPMP) and temperature (TPMT)) using particle swarm optimization (PSO) algorithm. For SOS, all three phenological models with calibrated parameters performed similarly and all captured the change in SOS well along gradients of aridity. The performance of BBGC, HSGSI, and AMPP models were largely improved with the calibration. The AMPP model simulated SOS with the lowest estimation errors with the mean absolute error (MAE) of 18.67 days and the Kling Gupta efficiency (KGE) of 0.47 in validation. For EOS, the calibrated HSGSI and AMPP models, with mean MAEs of 9.85 and 9.29 days, respectively, captured the change in EOS well along the gradients of aridity and performed better than other models. The calibration significantly improved the simulation performance of all five models. Therefore, the phenological models can be calibrated and validated at a large scale with snow-free satellite derived phenological data. Our study recommends that calibration and validation for the phenological model play a vital role in accurately simulating SOS and EOS in the regional carbon cycle simulation. |
| WOS关键词 | NET PRIMARY PRODUCTIVITY ; CARBON FLUX PHENOLOGY ; GREEN-UP DATES ; CLIMATE-CHANGE ; SNOW COVER ; ECOSYSTEM PRODUCTIVITY ; VEGETATION PHENOLOGY ; BIOCLIMATIC INDEX ; AUTUMN PHENOLOGY ; SPRING PHENOLOGY |
| 资助项目 | Chinese Academy of Sciences[XDA2006040101] ; National Natural Science Foundation of China[42141020] ; Guangdong Provincial Department of Science and Technology[2019ZT08G090] |
| WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000808587000002 |
| 出版者 | ELSEVIER |
| 资助机构 | Chinese Academy of Sciences ; National Natural Science Foundation of China ; Guangdong Provincial Department of Science and Technology |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/179889]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Qi, Youcun; Qin, Zhangcai |
| 作者单位 | 1.Lanzhou Univ, Coll Ecol, State Key Lab Grassland Agroecosyst, Lanzhou 730000, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Datun Rd 11A, Chaoyang 100101, Beijing, Peoples R China 4.Sun Yat sen Univ, Sch Atmospher Sci, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519000, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zheng, Lei,Qi, Youcun,Wang, Yijie,et al. Calibration and validation of phenological models for Biome-BGCMuSo in the grasslands of Tibetan Plateau using remote sensing data[J]. AGRICULTURAL AND FOREST METEOROLOGY,2022,322:13. |
| APA | Zheng, Lei,Qi, Youcun,Wang, Yijie,Peng, Jie,&Qin, Zhangcai.(2022).Calibration and validation of phenological models for Biome-BGCMuSo in the grasslands of Tibetan Plateau using remote sensing data.AGRICULTURAL AND FOREST METEOROLOGY,322,13. |
| MLA | Zheng, Lei,et al."Calibration and validation of phenological models for Biome-BGCMuSo in the grasslands of Tibetan Plateau using remote sensing data".AGRICULTURAL AND FOREST METEOROLOGY 322(2022):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
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