Leaf photosynthetic pigment as a predictor of leaf maximum carboxylation rate in a farmland ecosystem
文献类型：期刊论文
| 作者 | Li, Yue2; Wang, Qingtao1; Fu, Taimiao1; Qiao, Yunfeng4; Hao, Lihua3; Qi, Tao1 |
| 刊名 | FRONTIERS IN PLANT SCIENCE
 |
| 出版日期 | 2023-07-04 |
| 卷号 | 14页码:12 |
| ISSN号 | 1664-462X |
| 关键词 | leaf chlorophyll content leaf carotenoid content leaf nitrogen content maximum rate of carboxylation photosynthetic capacity |
| DOI | 10.3389/fpls.2023.1225295 |
| 通讯作者 | Qi, Tao(qitao@hebeu.edu.cn) |
| 英文摘要 | The leaf maximum rate of carboxylation (V-cmax) is a key parameter of plant photosynthetic capacity. The accurate estimation of V-cmax is crucial for correctly predicting the carbon flux in the terrestrial carbon cycle. V-cmax is correlated with plant traits including leaf nitrogen (N-area) and leaf photosynthetic pigments. Proxies for leaf chlorophyll (Chl(area)) and carotenoid contents (Car(area)) need to be explored in different ecosystems. In this study, we evaluated the relationship between leaf maximum rate of carboxylation (scaled to 25 & DEG;C; V-cmax25) and both leaf N-area and photosynthetic pigments (Chl(area) and Car(area)) in winter wheat in a farmland ecosystem. Our results showed that V-cmax25 followed the same trends as leaf Chl(area). However, leaf N-area showed smaller dynamic changes before the flowering stage, and there were smaller seasonal variations in leaf Car(area). The correlation between leaf V-cmax25 and leaf Chl(area) was the strongest, followed by leaf Car(area) and leaf N-area (R-2 = 0.69, R-2 = 0.47 and R-2 = 0.36, respectively). The random forest regression analysis also showed that leaf Chl(area) and leaf Car(area) were more important than leaf N-area for V-cmax25. The correlation between leaf V-cmax25 and N-area can be weaker since nitrogen allocation is dynamic. The estimation accuracy of the V-cmax25 model based on N-area, Chl(area), and Car(area) (R-2 = 0.75) was only 0.05 higher than that of the V-cmax25 model based on Chl(area) and Car(area) (R-2 = 0.70). However, the estimation accuracy of the V-cmax25 model based on Chl(area) and Car(area) (R-2 = 0.70) was 0.34 higher than that of the V-cmax25 model based on N-area (R-2 = 0.36). These results highlight that leaf photosynthetic pigments can be a predictor for estimating V-cmax25, expanding a new way to estimate spatially continuous V-cmax25 on a regional scale, and to improve model simulation accuracy. |
| WOS关键词 | GROSS PRIMARY PRODUCTION ; CHLOROPHYLL CONTENT ; SEASONAL PATTERNS ; NITROGEN-CONTENT ; USE EFFICIENCY ; GAS-EXCHANGE ; CAPACITY ; CARBON ; REFLECTANCE ; CANOPY |
| 资助项目 | National Natural Science Foundation of China[32001130] ; Natural Science Foundation of Hebei Province, China[C2021402011] ; Natural Science Foundation of Hebei Province, China[C2020402022] ; Natural Science Foundation of Hebei Province, China[E2021402031] |
| WOS研究方向 | Plant Sciences |
| 语种 | 英语 |
| 出版者 | FRONTIERS MEDIA SA |
| WOS记录号 | WOS:001027190900001 |
| 资助机构 | National Natural Science Foundation of China ; Natural Science Foundation of Hebei Province, China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/195436]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Qi, Tao |
| 作者单位 | 1.Hebei Univ Engn, Sch Landscape & Ecol Engn, Handan, Peoples R China 2.Hebei Univ Engn, Sch Earth Sci & Engn, Handan, Peoples R China 3.Hebei Univ Engn, Sch Water Conservancy & Hydropower, Handan, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Yue,Wang, Qingtao,Fu, Taimiao,et al. Leaf photosynthetic pigment as a predictor of leaf maximum carboxylation rate in a farmland ecosystem[J]. FRONTIERS IN PLANT SCIENCE,2023,14:12. |
| APA | Li, Yue,Wang, Qingtao,Fu, Taimiao,Qiao, Yunfeng,Hao, Lihua,&Qi, Tao.(2023).Leaf photosynthetic pigment as a predictor of leaf maximum carboxylation rate in a farmland ecosystem.FRONTIERS IN PLANT SCIENCE,14,12. |
| MLA | Li, Yue,et al."Leaf photosynthetic pigment as a predictor of leaf maximum carboxylation rate in a farmland ecosystem".FRONTIERS IN PLANT SCIENCE 14(2023):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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