Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1111/gcb.14624 |
Improved estimates of global terrestrial photosynthesis using information on leaf chlorophyll content | |
Luo, Xiangzhong1,2,3; Croft, Holly1; Chen, Jing M.1; He, Liming1; Keenan, Trevor F.2,3 | |
2019-07-01 | |
发表期刊 | GLOBAL CHANGE BIOLOGY
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ISSN | 1354-1013 |
EISSN | 1365-2486 |
出版年 | 2019 |
卷号 | 25期号:7页码:2499-2514 |
文章类型 | Article |
语种 | 英语 |
国家 | Canada; USA |
英文摘要 | The terrestrial biosphere plays a critical role in mitigating climate change by absorbing anthropogenic CO2 emissions through photosynthesis. The rate of photosynthesis is determined jointly by environmental variables and the intrinsic photosynthetic capacity of plants (i.e. maximum carboxylation rate; Vc(max)(25)). A lack of an effective means to derive spatially and temporally explicit Vc(max)(25) has long hampered efforts towards estimating global photosynthesis accurately. Recent work suggests that leaf chlorophyll content (Chl(leaf)) is strongly related to Vc(max)(25), since Chl(leaf) and Vc(max)(25) are both correlated with photosynthetic nitrogen content. We used medium resolution satellite images to derive spatially and temporally explicit Chl(leaf), which we then used to parameterize Vc(max)(25) within a terrestrial biosphere model. Modelled photosynthesis estimates were evaluated against measured photosynthesis at 124 eddy covariance sites. The inclusion of Chl(leaf) in a terrestrial biosphere model improved the spatial and temporal variability of photosynthesis estimates, reducing biases at eddy covariance sites by 8% on average, with the largest improvements occurring for croplands (21% bias reduction) and deciduous forests (15% bias reduction). At the global scale, the inclusion of Chl(leaf) reduced terrestrial photosynthesis estimates by 9 PgC/year and improved the correlations with a reconstructed solar-induced fluorescence product and a gridded photosynthesis product upscaled from tower measurements. We found positive impacts of Chl(leaf) on modelled photosynthesis for deciduous forests, croplands, grasslands, savannas and wetlands, but mixed impacts for shrublands and evergreen broadleaf forests and negative impacts for evergreen needleleaf forests and mixed forests. Our results highlight the potential of Chl(leaf) to reduce the uncertainty of global photosynthesis but identify challenges for incorporating Chlleaf in future terrestrial biosphere models. |
英文关键词 | gross primary productivity leaf chlorophyll content photosynthetic capacity remote sensing solar-induced fluorescence terrestrial biosphere models |
领域 | 气候变化 ; 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000477087100025 |
WOS关键词 | DAILY CANOPY PHOTOSYNTHESIS ; GROSS PRIMARY PRODUCTION ; LIGHT-USE-EFFICIENCY ; NITROGEN-CONTENT ; AREA INDEX ; BIOCHEMICAL LIMITATIONS ; ECOSYSTEM RESPIRATION ; PRIMARY PRODUCTIVITY ; INDUCED FLUORESCENCE ; OPTICAL-PROPERTIES |
WOS类目 | Biodiversity Conservation ; Ecology ; Environmental Sciences |
WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/184630 |
专题 | 气候变化 资源环境科学 |
作者单位 | 1.Univ Toronto, Dept Geog & Planning, Toronto, ON, Canada; 2.Lawrence Berkeley Natl Lab, Climate & Ecosyst Sci Div, Berkeley, CA USA; 3.Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA |
推荐引用方式 GB/T 7714 | Luo, Xiangzhong,Croft, Holly,Chen, Jing M.,et al. Improved estimates of global terrestrial photosynthesis using information on leaf chlorophyll content[J]. GLOBAL CHANGE BIOLOGY,2019,25(7):2499-2514. |
APA | Luo, Xiangzhong,Croft, Holly,Chen, Jing M.,He, Liming,&Keenan, Trevor F..(2019).Improved estimates of global terrestrial photosynthesis using information on leaf chlorophyll content.GLOBAL CHANGE BIOLOGY,25(7),2499-2514. |
MLA | Luo, Xiangzhong,et al."Improved estimates of global terrestrial photosynthesis using information on leaf chlorophyll content".GLOBAL CHANGE BIOLOGY 25.7(2019):2499-2514. |
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