Modeling Uncertainties in Spatiotemporal Dynamic of Vegetation Above- and Belowground Production on the Tibetan Plateau
文献类型：期刊论文
| 作者 | Zhou, Tao7,8,9; Hou, Peng8,9; Laffitte, Benjamin5,6; Hou, Yuting1; Wang, Xiang4; Cao, Jianfei3,7,8,9; Zhou, Guangjin7,8,9; Sun, Xuwei2 |
| 刊名 | ECOSYSTEM HEALTH AND SUSTAINABILITY
 |
| 出版日期 | 2026-03-20 |
| 卷号 | 12页码:505 |
| ISSN号 | 2096-4129 |
| DOI | 10.34133/ehs.0505 |
| 产权排序 | 7 |
| 文献子类 | Article |
| 英文摘要 | Net primary production (NPP), comprising both aboveground (ANPP) and belowground (BNPP) components, serves as a critical indicator for evaluating terrestrial ecosystem responses to climate change. However, poorly characterized BNPP spatiotemporal dynamics limit carbon allocation understanding on the Tibetan Plateau (TP), and the impact of modeling uncertainties (on different models and their parameter settings) is not well constrained. Thus, we developed 97 data-driven models (including linear, machine learning, and deep learning), integrating field observations, and remote sensing datasets to produce 1-km-resolution ANPP and BNPP across the TP (1981-2018). Our results demonstrated strong model performance for both ANPP (R2 = 0.80 to 0.88) and BNPP (R2 = 0.89 to 0.95), with the Rborist (ANPP) and xgbLinear (BNPP) models showing optimal performance. Spatially, linear and machine learning models exhibited strong consistency in ANPP and BNPP estimates, while deep learning outputs showed marked divergence, particularly in eastern TP. Temporally, we observed a significant decline in total ANPP (-0.003 Pg C & centerdot;a-1) but an increase in BNPP (0.001 to 0.003 Pg C & centerdot;a-1), with intermodel variability in annual totals ranging from 0.13 to 0.32 Pg C & centerdot;a-1. The discrepancies stemmed from varying factor influences across models, with evapotranspiration, Bio3 (isothermality), and leaf area index primarily driving ANPP, while BNPP was mainly governed by Bio3, Bio14 (driest-month precipitation), and leaf area index. Notably, the increasing contribution of BNPP to carbon sequestration on the TP highlights the necessity of its independent quantification in global carbon models. This study also reveals uncertainties in vegetation carbon allocation and provides key benchmarks for developing biogeochemical models in climate-sensitive regions. |
| URL标识 | 查看原文 |
| WOS关键词 | NET PRIMARY PRODUCTION ; PATTERNS ; FOREST ; RESPIRATION ; BIOMASS |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001718685300001 |
| 出版者 | AMER ASSOC ADVANCEMENT SCIENCE |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221189]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
| 通讯作者 | Hou, Peng |
| 作者单位 | 1.Chengdu Univ Technol, Coll Earth Sci, Chengdu 610095, Peoples R China; 2.Gansu Acad Ecoenvironm Sci, Ecol Environm Inst, Lanzhou 730020, Gansu, Peoples R China 3.Shandong Normal Univ, Coll Geog & Environm, Jinan 250358, Peoples R China; 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China; 5.Chengdu Univ Technol, Coll Ecol & Environm, Chengdu 610095, Peoples R China; 6.Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610095, Peoples R China; 7.Beijing Normal Univ, Fac Geog Sci, Beijing 100875, Peoples R China; 8.Minist Ecol & Environm, Key Lab Satellite Remote Sensing, Beijing 100094, Peoples R China; 9.Minist Ecol & Environm, Satellite Applicat Ctr Ecol & Environm, Beijing 100094, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Zhou, Tao,Hou, Peng,Laffitte, Benjamin,et al. Modeling Uncertainties in Spatiotemporal Dynamic of Vegetation Above- and Belowground Production on the Tibetan Plateau[J]. ECOSYSTEM HEALTH AND SUSTAINABILITY,2026,12:505. |
| APA | Zhou, Tao.,Hou, Peng.,Laffitte, Benjamin.,Hou, Yuting.,Wang, Xiang.,...&Sun, Xuwei.(2026).Modeling Uncertainties in Spatiotemporal Dynamic of Vegetation Above- and Belowground Production on the Tibetan Plateau.ECOSYSTEM HEALTH AND SUSTAINABILITY,12,505. |
| MLA | Zhou, Tao,et al."Modeling Uncertainties in Spatiotemporal Dynamic of Vegetation Above- and Belowground Production on the Tibetan Plateau".ECOSYSTEM HEALTH AND SUSTAINABILITY 12(2026):505. |
入库方式： OAI收割
来源：地理科学与资源研究所
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