Chlorophyll Fluorescence Better Captures Seasonal and Interannual Gross Primary Productivity Dynamics Across Dryland Ecosystems of Southwestern North America

Smith, W. K.; Biederman, J. A.; Scott, R. L.; Moore, D. J. P.; He, M.; Kimball, J. S.; Yan, D.; Hudson, A.; Barnes, M. L.; MacBean, N.; Fox, A. M.; Litvak, M. E.

doi:10.1002/2017gl075922

Chlorophyll Fluorescence Better Captures Seasonal and Interannual Gross Primary Productivity Dynamics Across Dryland Ecosystems of Southwestern North America

Journal Article · Thu Jan 04 00:00:00 EST 2018 · Geophysical Research Letters

DOI:https://doi.org/10.1002/2017gl075922· OSTI ID:1537304

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Univ. of Arizona, Tucson, AZ (United States); DOE/OSTI
USDA Agricultural Research Service, Tucson, AZ (United States)
Univ. of Arizona, Tucson, AZ (United States)
Univ. of Montana, Missoula, MT (United States)
Univ. of New Mexico, Albuquerque, NM (United States)

Satellite remote sensing provides unmatched spatiotemporal information on vegetation gross primary productivity (GPP). Yet understanding of the relationship between GPP and remote sensing observations and how it changes with factors such as scale, biophysical constraint, and vegetation type remains limited. This knowledge gap is especially apparent for dryland ecosystems, which have characteristic high spatiotemporal variability and are under–represented by long–term field measurements. Here we utilize an eddy covariance (EC) data synthesis for southwestern North America in an assessment of how accurately satellite–derived vegetation proxies capture seasonal to interannual GPP dynamics across dryland gradients. We evaluate the enhanced vegetation index, solar–induced fluorescence (SIF), and the photochemical reflectivity index. We find evidence that SIF is more accurately capturing seasonal GPP dynamics particularly for evergreen–dominated EC sites and more accurately estimating the full magnitude of interannual GPP dynamics for all dryland EC sites. Furthermore, these results suggest that incorporation of SIF could significantly improve satellite–based GPP estimates.

View Accepted Manuscript (DOE)

Research Organization:: Princeton Univ., Princeton, NJ (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: SC0016011

OSTI ID:: 1537304

Journal Information:: Geophysical Research Letters, Journal Name: Geophysical Research Letters Journal Issue: 2 Vol. 45; ISSN 0094-8276

Publisher:: American Geophysical UnionCopyright Statement

Country of Publication:: United States

Language:: English

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54 ENVIRONMENTAL SCIENCES
chlorophyll fluorescence
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enhanced vegetation index
geology
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photochemical reflectivity index
satellite remote sensing

Chlorophyll Fluorescence Better Captures Seasonal and Interannual Gross Primary Productivity Dynamics Across Dryland Ecosystems of Southwestern North America

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