Greenness indices from digital cameras predict the timing and seasonal dynamics of canopy-scale photosynthesis

Michael Toomey, Mark A. Friedl, Steve Frolking, Koen Hufkens, Stephen Klosterman, Oliver Sonnentag, Dennis D. Baldocchi, Carl J. Bernacchi, Sebastien C. Biraud, Gil Bohrer, Edward Brzostek, Sean P. Burns, Carole Coursolle, David Y. Hollinger, Hank A. Margolis, Harry McCaughey, Russell K. Monson, J. William Munger, Stephen Pallardy, Richard P. PhillipsMargaret S. Torn, Sonia Wharton, Marcelo Zeri, Andrew D. Richardson

Research output: Contribution to journalArticle

Abstract

The proliferation of digital cameras co-located with eddy covariance instrumentation provides new opportunities to better understand the relationship between canopy phenology and the seasonality of canopy photosynthesis. In this paper we analyze the abilities and limitations of canopy color metrics measured by digital repeat photography to track seasonal canopy development and photosynthesis, determine phenological transition dates, and estimate intra-annual and interannual variability in canopy photosynthesis. We used 59 site-years of camera imagery and net ecosystem exchange measurements from 17 towers spanning three plant functional types (deciduous broadleaf forest, evergreen needleleaf forest, and grassland/crops) to derive color indices and estimate gross primary productivity (GPP). GPP was strongly correlated with greenness derived from camera imagery in all three plant functional types. Specifically, the beginning of the photosynthetic period in deciduous broadleaf forest and grassland/crops and the end of the photosynthetic period in grassland/crops were both correlated with changes in greenness; changes in redness were correlated with the end of the photosynthetic period in deciduous broadleaf forest. However, it was not possible to accurately identify the beginning or ending of the photosynthetic period using camera greenness in evergreen needleleaf forest. At deciduous broadleaf sites, anomalies in integrated greenness and total GPP were significantly correlated up to 60 days after the mean onset date for the start of spring. More generally, results from this work demonstrate that digital repeat photography can be used to quantify both the duration of the photosynthetically active period as well as total GPP in deciduous broadleaf forest and grassland/crops, but that new and different approaches are required before comparable results can be achieved in evergreen needleleaf forest.

Original languageEnglish (US)
Pages (from-to)99-115
Number of pages17
JournalEcological Applications
Volume25
Issue number1
DOIs
StatePublished - Jan 1 2015

Fingerprint

photosynthesis
deciduous forest
canopy
evergreen forest
grassland
productivity
crop
photography
imagery
net ecosystem exchange
eddy covariance
phenology
instrumentation
seasonality
index
anomaly

Keywords

  • Deciduous broadleaf forest
  • Digital repeat photography
  • Evergreen needleleaf forest
  • Grassland
  • Gross primary productivity
  • PhenoCam
  • Phenology
  • Photosynthesis
  • Seasonality

ASJC Scopus subject areas

  • Ecology

Cite this

Toomey, M., Friedl, M. A., Frolking, S., Hufkens, K., Klosterman, S., Sonnentag, O., ... Richardson, A. D. (2015). Greenness indices from digital cameras predict the timing and seasonal dynamics of canopy-scale photosynthesis. Ecological Applications, 25(1), 99-115. https://doi.org/10.1890/14-0005.1

Greenness indices from digital cameras predict the timing and seasonal dynamics of canopy-scale photosynthesis. / Toomey, Michael; Friedl, Mark A.; Frolking, Steve; Hufkens, Koen; Klosterman, Stephen; Sonnentag, Oliver; Baldocchi, Dennis D.; Bernacchi, Carl J.; Biraud, Sebastien C.; Bohrer, Gil; Brzostek, Edward; Burns, Sean P.; Coursolle, Carole; Hollinger, David Y.; Margolis, Hank A.; McCaughey, Harry; Monson, Russell K.; Munger, J. William; Pallardy, Stephen; Phillips, Richard P.; Torn, Margaret S.; Wharton, Sonia; Zeri, Marcelo; Richardson, Andrew D.

In: Ecological Applications, Vol. 25, No. 1, 01.01.2015, p. 99-115.

Research output: Contribution to journalArticle

Toomey, M, Friedl, MA, Frolking, S, Hufkens, K, Klosterman, S, Sonnentag, O, Baldocchi, DD, Bernacchi, CJ, Biraud, SC, Bohrer, G, Brzostek, E, Burns, SP, Coursolle, C, Hollinger, DY, Margolis, HA, McCaughey, H, Monson, RK, Munger, JW, Pallardy, S, Phillips, RP, Torn, MS, Wharton, S, Zeri, M & Richardson, AD 2015, 'Greenness indices from digital cameras predict the timing and seasonal dynamics of canopy-scale photosynthesis', Ecological Applications, vol. 25, no. 1, pp. 99-115. https://doi.org/10.1890/14-0005.1
Toomey, Michael ; Friedl, Mark A. ; Frolking, Steve ; Hufkens, Koen ; Klosterman, Stephen ; Sonnentag, Oliver ; Baldocchi, Dennis D. ; Bernacchi, Carl J. ; Biraud, Sebastien C. ; Bohrer, Gil ; Brzostek, Edward ; Burns, Sean P. ; Coursolle, Carole ; Hollinger, David Y. ; Margolis, Hank A. ; McCaughey, Harry ; Monson, Russell K. ; Munger, J. William ; Pallardy, Stephen ; Phillips, Richard P. ; Torn, Margaret S. ; Wharton, Sonia ; Zeri, Marcelo ; Richardson, Andrew D. / Greenness indices from digital cameras predict the timing and seasonal dynamics of canopy-scale photosynthesis. In: Ecological Applications. 2015 ; Vol. 25, No. 1. pp. 99-115.
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