New global observations of the terrestrial carbon cycle from GOSAT: Patterns of plant fluorescence with gross primary productivity

被引:401
|
作者
Frankenberg, Christian [1 ]
Fisher, Joshua B. [1 ]
Worden, John [1 ]
Badgley, Grayson [1 ]
Saatchi, Sassan S. [1 ]
Lee, Jung-Eun [1 ]
Toon, Geoffrey C. [1 ]
Butz, Andre [2 ]
Jung, Martin [3 ]
Kuze, Akihiko [4 ]
Yokota, Tatsuya [5 ]
机构
[1] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA
[2] Karlsruhe Inst Technol, Inst Meteorol & Climate Res, D-76344 Leopoldshafen, Germany
[3] Max Planck Inst Biogeochem, Biogeochem Model Data Integrat Grp, D-07745 Jena, Germany
[4] Japan Aerosp Explorat Agcy, Tsukuba, Ibaraki 3058505, Japan
[5] Natl Inst Environm Studies, Tsukuba, Ibaraki 3058506, Japan
关键词
NET PRIMARY PRODUCTION; FOURIER-TRANSFORM SPECTROMETER; GASES OBSERVING SATELLITE; SUN-INDUCED FLUORESCENCE; CHLOROPHYLL FLUORESCENCE; PHOTOSYNTHESIS; MODEL; LEAF; EFFICIENCY;
D O I
10.1029/2011GL048738
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Our ability to close the Earth's carbon budget and predict feedbacks in a warming climate depends critically on knowing where, when and how carbon dioxide is exchanged between the land and atmosphere. Terrestrial gross primary production (GPP) constitutes the largest flux component in the global carbon budget, however significant uncertainties remain in GPP estimates and its seasonality. Empirically, we show that global spaceborne observations of solar induced chlorophyll fluorescence - occurring during photosynthesis - exhibit a strong linear correlation with GPP. We found that the fluorescence emission even without any additional climatic or model information has the same or better predictive skill in estimating GPP as those derived from traditional remotely-sensed vegetation indices using ancillary data and model assumptions. In boreal summer the generally strong linear correlation between fluorescence and GPP models weakens, attributable to discrepancies in savannas/croplands (18-48% higher fluorescence-based GPP derived by simple linear scaling), and high-latitude needleleaf forests (28-32% lower fluorescence). Our results demonstrate that retrievals of chlorophyll fluorescence provide direct global observational constraints for GPP and open an entirely new viewpoint on the global carbon cycle. We anticipate that global fluorescence data in combination with consolidated plant physiological fluorescence models will be a step-change in carbon cycle research and enable an unprecedented robustness in the understanding of the current and future carbon cycle. Citation: Frankenberg, C., et al. (2011), New global observations of the terrestrial carbon cycle from GOSAT: Patterns of plant fluorescence with gross primary productivity, Geophys. Res. Lett., 38, L17706, doi: 10.1029/2011GL048738.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Estimating global gross primary productivity using chlorophyll fluorescence and a data assimilation system with the BETHY-SCOPE model
    Norton, Alexander J.
    Rayner, Peter J.
    Koffi, Ernest N.
    Scholze, Marko
    Silver, Jeremy D.
    Wang, Ying-Ping
    BIOGEOSCIENCES, 2019, 16 (15) : 3069 - 3093
  • [42] Estimating terrestrial gross primary productivity in water limited ecosystems across Africa using the Southampton Carbon Flux (SCARF) model
    Chiwara, P.
    Ogutu, B. O.
    Dash, J.
    Milton, E. J.
    Ardo, J.
    Saunders, M.
    Nicolini, G.
    SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 630 : 1472 - 1483
  • [43] The design of a Space-borne Multispectral Canopy LiDAR to Estimate Global Carbon Stock and Gross Primary Productivity
    Jack, Jim
    Rumi, Emal
    Henry, David
    Woodhouse, Iain
    Nichol, Caroline
    Macdonald, Malcolm
    SENSORS, SYSTEMS, AND NEXT-GENERATION SATELLITES XV, 2011, 8176
  • [44] A new model of the global biogeochemical cycle of carbonyl sulfide - Part 2: Use of carbonyl sulfide to constrain gross primary productivity in current vegetation models
    Launois, T.
    Peylin, P.
    Belviso, S.
    Poulter, B.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2015, 15 (16) : 9285 - 9312
  • [45] How the Updated Earth System Models Project Terrestrial Gross Primary Productivity in China under 1.5 and 2 °C Global Warming
    Zhang, Chi
    Wu, Shaohong
    Deng, Yu
    Chou, Jieming
    SUSTAINABILITY, 2021, 13 (21)
  • [46] Exploring the Best-Matching Plant Traits and Environmental Factors for Vegetation Indices in Estimates of Global Gross Primary Productivity
    Zhao, Weiqing
    Zhu, Zaichun
    REMOTE SENSING, 2022, 14 (24)
  • [47] Representativeness of global climate and vegetation by carbon-monitoring networks; implications for estimates of gross and net primary productivity at biome and global levels
    Alton, Paul B.
    AGRICULTURAL AND FOREST METEOROLOGY, 2020, 290
  • [48] Moisture availability mediates the relationship between terrestrial gross primary production and solar-induced chlorophyll fluorescence: Insights from global-scale variations
    Chen, Anping
    Mao, Jiafu
    Ricciuto, Daniel
    Xiao, Jingfeng
    Frankenberg, Christian
    Li, Xing
    Thornton, Peter E.
    Gu, Lianhong
    Knapp, Alan K.
    GLOBAL CHANGE BIOLOGY, 2021, 27 (06) : 1144 - 1156
  • [49] Investigating Terrestrial Carbon Uptake Over India Using Multimodel Simulations of Gross Primary Productivity and Satellite-Based Biophysical Product
    Uchale, Gayatri
    Burman, Pramit Kumar Deb
    Tiwari, Yogesh K.
    Datye, Amey
    Sarkar, Aharna
    JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2023, 128 (11)
  • [50] Evaluation of the terrestrial carbon cycle, future plant geography and climate-carbon cycle feedbacks using five Dynamic Global Vegetation Models (DGVMs)
    Sitch, S.
    Huntingford, C.
    Gedney, N.
    Levy, P. E.
    Lomas, M.
    Piao, S. L.
    Betts, R.
    Ciais, P.
    Cox, P.
    Friedlingstein, P.
    Jones, C. D.
    Prentice, I. C.
    Woodward, F. I.
    GLOBAL CHANGE BIOLOGY, 2008, 14 (09) : 2015 - 2039