Improved estimates of global terrestrial photosynthesis using information on leaf chlorophyll content

被引:122
作者
Luo, Xiangzhong [1 ,2 ,3 ]
Croft, Holly [1 ]
Chen, Jing M. [1 ]
He, Liming [1 ]
Keenan, Trevor F. [2 ,3 ]
机构
[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
关键词
gross primary productivity; leaf chlorophyll content; photosynthetic capacity; remote sensing; solar-induced fluorescence; terrestrial biosphere models; DAILY CANOPY PHOTOSYNTHESIS; GROSS PRIMARY PRODUCTION; LIGHT-USE-EFFICIENCY; NITROGEN-CONTENT; AREA INDEX; BIOCHEMICAL LIMITATIONS; ECOSYSTEM RESPIRATION; PRIMARY PRODUCTIVITY; INDUCED FLUORESCENCE; OPTICAL-PROPERTIES;
D O I
10.1111/gcb.14624
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
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.
引用
收藏
页码:2499 / 2514
页数:16
相关论文
共 104 条
[1]   Retrieval of seasonal Rubisco-limited photosynthetic capacity at global FLUXNET sites from hyperspectral satellite remote sensing: Impact on carbon modelling [J].
Alton, Paul B. .
AGRICULTURAL AND FOREST METEOROLOGY, 2017, 232 :74-88
[2]   Spatiotemporal patterns of terrestrial gross primary production: A review [J].
Anav, Alessandro ;
Friedlingstein, Pierre ;
Beer, Christian ;
Ciais, Philippe ;
Harper, Anna ;
Jones, Chris ;
Murray-Tortarolo, Guillermo ;
Papale, Dario ;
Parazoo, Nicholas C. ;
Peylin, Philippe ;
Piao, Shilong ;
Sitch, Stephen ;
Viovy, Nicolas ;
Wiltshire, Andy ;
Zhao, Maosheng .
REVIEWS OF GEOPHYSICS, 2015, 53 (03) :785-818
[3]   PATTERNS OF LIGHT AND NITROGEN DISTRIBUTION IN RELATION TO WHOLE CANOPY CARBON GAIN IN C-3 AND C-4 MONOCOTYLEDONOUS AND DICOTYLEDONOUS SPECIES [J].
ANTEN, NPR ;
SCHIEVING, F ;
WERGER, MJA .
OECOLOGIA, 1995, 101 (04) :504-513
[4]   Biophysical and biochemical sources of variability in canopy reflectance [J].
Asner, GP .
REMOTE SENSING OF ENVIRONMENT, 1998, 64 (03) :234-253
[5]   Scaling PAR absorption from the leaf to landscape level in spatially heterogeneous ecosystems [J].
Asner, GP ;
Wessman, CA .
ECOLOGICAL MODELLING, 1997, 103 (01) :81-97
[6]   Breathing of the terrestrial biosphere: lessons learned from a global network of carbon dioxide flux measurement systems [J].
Baldocchi, Dennis .
AUSTRALIAN JOURNAL OF BOTANY, 2008, 56 (01) :1-26
[7]  
Baldocchi Dennis, 2016, F1000Res, V5
[8]   GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part1: Principles of development and production [J].
Baret, F. ;
Weiss, M. ;
Lacaze, R. ;
Camacho, F. ;
Makhmara, H. ;
Pacholcyzk, P. ;
Smets, B. .
REMOTE SENSING OF ENVIRONMENT, 2013, 137 :299-309
[9]   Beyond greenness: Detecting temporal changes in photosynthetic capacity with hyperspectral reflectance data [J].
Barnes, Mallory L. ;
Breshears, David D. ;
Law, Darin J. ;
van Leeuwen, Willem J. D. ;
Monson, Russell K. ;
Fojtik, Alec C. ;
Barron-Gafford, Greg A. ;
Moore, David J. P. .
PLOS ONE, 2017, 12 (12)
[10]   Terrestrial Gross Carbon Dioxide Uptake: Global Distribution and Covariation with Climate [J].
Beer, Christian ;
Reichstein, Markus ;
Tomelleri, Enrico ;
Ciais, Philippe ;
Jung, Martin ;
Carvalhais, Nuno ;
Roedenbeck, Christian ;
Arain, M. Altaf ;
Baldocchi, Dennis ;
Bonan, Gordon B. ;
Bondeau, Alberte ;
Cescatti, Alessandro ;
Lasslop, Gitta ;
Lindroth, Anders ;
Lomas, Mark ;
Luyssaert, Sebastiaan ;
Margolis, Hank ;
Oleson, Keith W. ;
Roupsard, Olivier ;
Veenendaal, Elmar ;
Viovy, Nicolas ;
Williams, Christopher ;
Woodward, F. Ian ;
Papale, Dario .
SCIENCE, 2010, 329 (5993) :834-838