Solar‐Induced Fluorescence Helps Constrain Global Patterns in Net Biosphere Exchange, as Estimated Using Atmospheric CO2 Observations

Author:

Zhang Mingyang1ORCID,Berry Joseph A.2ORCID,Shiga Yoichi P.3,Doughty Russell B.4ORCID,Madani Nima56ORCID,Li Xing7ORCID,Xiao Jingfeng8ORCID,Wen Jiaming9ORCID,Sun Ying9ORCID,Miller Scot M.1ORCID

Affiliation:

1. Department of Environmental Health and Engineering Johns Hopkins University Baltimore MD USA

2. Department of Global Ecology Carnegie Institution for Science Stanford CA USA

3. Independent Researcher San Francisco CA USA

4. College of Atmospheric & Geographic Sciences University of Oklahoma Norman OK USA

5. Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA

6. UCLA Joint Institute for Regional Earth System Science and Engineering Los Angeles CA USA

7. Research Institute of Agriculture and Life Sciences Seoul National University Seoul South Korea

8. Earth Systems Research Center Institute for the Study of Earth, Oceans, and Space University of New Hampshire Durham NH USA

9. School of Integrative Plant Science Soil and Crop Sciences Section Cornell University Ithaca NY USA

Abstract

AbstractSolar‐induced chlorophyll fluorescence (SIF) shows enormous promise as a proxy for photosynthesis and as a tool for modeling variability in gross primary productivity and net biosphere exchange (NBE). In this study, we explore the skill of SIF and other vegetation indicators in predicting variability in global atmospheric CO2 observations, and thus global variability in NBE. We do so using a 4‐year record of CO2 observations from NASA's Orbiting Carbon Observatory 2 satellite and using a geostatistical inverse model. We find that existing SIF products closely correlate with space‐time variability in atmospheric CO2 observations, particularly in the extratropics. In the extratropics, all SIF products exhibit greater skill in explaining variability in atmospheric CO2 observations compared to an ensemble of process‐based CO2 flux models and other vegetation indicators. With that said, other vegetation indicators, when multiplied by photosynthetically active radiation, yield similar results as SIF and may therefore be an effective structural SIF proxy at regional to global spatial scales. Furthermore, we find that using SIF as a predictor variable in the geostatistical inverse model shifts the seasonal cycle of estimated NBE and yields an earlier end to the growing season relative to other vegetation indicators. These results highlight how SIF can help constrain global‐scale variability in NBE.

Funder

National Science Foundation

Publisher

American Geophysical Union (AGU)

Subject

Paleontology,Atmospheric Science,Soil Science,Water Science and Technology,Ecology,Aquatic Science,Forestry

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