Supporting Blue Carbon Accounting: A Process-Based Productivity Model for Global Salt Marshes
文献类型：期刊论文
| 作者 | Zhou, Zhuoya4,5; Li, Tingting5,6; Yang, Xiu-Qun4; Chen, Deliang8; Han, Guangxuan1; Fan, Xingwang3; Zhao, Xiaosong3; Wei, Siyu1; He, Bin8; Wang, Guocheng2 |
| 刊名 | ENVIRONMENTAL SCIENCE & TECHNOLOGY
 |
| 出版日期 | 2026-02-06 |
| 页码 | 13 |
| 关键词 | coastal salt marshes process-based model blue carbon global simulation gross primary productivity |
| ISSN号 | 0013-936X |
| DOI | 10.1021/acs.est.5c05527 |
| 通讯作者 | Li, Tingting(litingting@mail.iap.ac.cn) |
| 英文摘要 | Coastal salt marshes (CSMs) are vital blue carbon (BC) reservoirs, yet accurately quantifying their gross primary productivity (GPP) remains challenging due to limitations in terrestrial biosphere models (TBMs), which often overlook coastal-specific processes. Here, we present SAL-GPP, a process-based model that incorporates coastal-specific modules to capture the effects of salinity and temperature stress on photosynthesis, as well as light-use efficiency across salinity gradients in diverse CSM plant species. Model validation showed strong agreement with observations, with R 2 of 0.82 and model efficiencies of 0.82 and 0.74 for daily and seasonal GPP, respectively. Driven with global inputs, SAL-GPP produced high-resolution global simulations, yielding a mean annual GPP of 66.89 +/- 11.68 TgC yr-1 (2011-2020), with 64% concentrated in key hotspots across the southeastern United States, western Europe, southeastern China, and Australia. From 2011 to 2016, global CSM GPP increased by 1.56 TgC yr-1, then declined, rebounded after 2018, and peaked at 71.45 +/- 12.02 TgC yr-1 in 2020. Model evaluation showed that SAL-GPP outperformed existing remote sensing-based GPP products and TBMs at both site and grid levels. By explicitly incorporating coastal ecosystem dynamics, SAL-GPP supports global BC accounting and climate mitigation strategies aligned with nature-based solutions for carbon neutrality. |
| WOS关键词 | SPARTINA-ALTERNIFLORA LOISEL ; PLANT-WATER RELATIONS ; SEASONAL PATTERNS ; VAPOR EXCHANGE ; GROSS ; CO2 ; NITROGEN ; FLUXES ; GROWTH ; PHOTOSYNTHESIS |
| WOS研究方向 | Engineering ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001684102900001 |
| 资助机构 | Tsinghua University ; National Key R&D Program of China ; Qingdao Meteorological Bureau ; National Natural Science Foundation of China (NSFC) |
| 源URL | [http://ir.yic.ac.cn/handle/133337/42095]  |
| 专题 | 烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室 |
| 通讯作者 | Li, Tingting |
| 作者单位 | 1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yellow River Delta Field Observat & Res Stn Coasta, Yantai 264003, Peoples R China 2.Beijing Normal Univ, Fac Geog Sci, Beijing 100875, Peoples R China 3.Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Lake & Watershed Sci Water Secur, Nanjing 211135, Peoples R China 4.Nanjing Univ, Sch Atmospher Sci, Nanjing 210023, Peoples R China 5.Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Environm & Extreme Meteoro, Beijing 100029, Peoples R China 6.Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519000, Peoples R China 7.Sun Yat Sen Univ, Sch Atmospher Sci, Guangdong Prov Key Lab Climate Change & Nat Disast, Zhuhai 519000, Peoples R China 8.Tsinghua Univ, Dept Earth Syst Sci, Beijing 100084, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhou, Zhuoya,Li, Tingting,Yang, Xiu-Qun,et al. Supporting Blue Carbon Accounting: A Process-Based Productivity Model for Global Salt Marshes[J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY,2026:13. |
| APA | Zhou, Zhuoya.,Li, Tingting.,Yang, Xiu-Qun.,Chen, Deliang.,Han, Guangxuan.,...&Qin, Zhangcai.(2026).Supporting Blue Carbon Accounting: A Process-Based Productivity Model for Global Salt Marshes.ENVIRONMENTAL SCIENCE & TECHNOLOGY,13. |
| MLA | Zhou, Zhuoya,et al."Supporting Blue Carbon Accounting: A Process-Based Productivity Model for Global Salt Marshes".ENVIRONMENTAL SCIENCE & TECHNOLOGY (2026):13. |
入库方式： OAI收割
来源：烟台海岸带研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。