Literature DB >> 26255360

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 Phillips, Margaret S Torn, Sonia Wharton, Marcelo Zeri, Andrew D And, Andrew D Richardson.   

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.

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Year:  2015        PMID: 26255360     DOI: 10.1890/14-0005.1

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  18 in total

1.  Tree growth and water-use in hyper-arid Acacia occurs during the hottest and driest season.

Authors:  Gidon Winters; Dennis Otieno; Shabtai Cohen; Christina Bogner; Gideon Ragowloski; Indira Paudel; Tamir Klein
Journal:  Oecologia       Date:  2018-08-18       Impact factor: 3.225

2.  Plant growth and aboveground production respond differently to late-season deluges in a semi-arid grassland.

Authors:  Alison K Post; Alan K Knapp
Journal:  Oecologia       Date:  2019-09-30       Impact factor: 3.225

3.  Responses of bud-break phenology to daily-asymmetric warming: daytime warming intensifies the advancement of bud break.

Authors:  Shaokang Zhang; Nathalie Isabel; Jian-Guo Huang; Hai Ren; Sergio Rossi
Journal:  Int J Biometeorol       Date:  2019-08-05       Impact factor: 3.787

4.  Diversity of plant assemblages dampens the variability of the growing season phenology in wetland landscapes.

Authors:  Guillaume Rheault; Esther Lévesque; Raphaël Proulx
Journal:  BMC Ecol Evol       Date:  2021-05-19

Review 5.  Global change and terrestrial plant community dynamics.

Authors:  Janet Franklin; Josep M Serra-Diaz; Alexandra D Syphard; Helen M Regan
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-29       Impact factor: 12.779

6.  Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery.

Authors:  Andrew D Richardson; Koen Hufkens; Tom Milliman; Donald M Aubrecht; Min Chen; Josh M Gray; Miriam R Johnston; Trevor F Keenan; Stephen T Klosterman; Margaret Kosmala; Eli K Melaas; Mark A Friedl; Steve Frolking
Journal:  Sci Data       Date:  2018-03-13       Impact factor: 8.501

7.  Extracting Plant Phenology Metrics in a Great Basin Watershed: Methods and Considerations for Quantifying Phenophases in a Cold Desert.

Authors:  Keirith A Snyder; Bryce L Wehan; Gianluca Filippa; Justin L Huntington; Tamzen K Stringham; Devon K Snyder
Journal:  Sensors (Basel)       Date:  2016-11-18       Impact factor: 3.576

8.  Larval outbreaks in West Greenland: Instant and subsequent effects on tundra ecosystem productivity and CO2 exchange.

Authors:  Magnus Lund; Katrine Raundrup; Andreas Westergaard-Nielsen; Efrén López-Blanco; Josephine Nymand; Peter Aastrup
Journal:  Ambio       Date:  2017-02       Impact factor: 5.129

9.  Observing Spring and Fall Phenology in a Deciduous Forest with Aerial Drone Imagery.

Authors:  Stephen Klosterman; Andrew D Richardson
Journal:  Sensors (Basel)       Date:  2017-12-08       Impact factor: 3.847

10.  Observing vegetation phenology through social media.

Authors:  Sam J Silva; Lindsay K Barbieri; Andrea K Thomer
Journal:  PLoS One       Date:  2018-05-10       Impact factor: 3.752

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