Dr. John A. Gamon

John Gamon

Dr. John A. Gamon

Professor, Co-Director, CALMIT, School of Natural Resources, University of Nebraska - Lincoln
307 Hardin Hall
402-472-7529

(on leave)
Professor, Cross-Appointed, Departments of Earth & Atmospheric Sciences,
Biological Sciences
University of Alberta
CCIS 2-277
780-492-0345
University of Nebraska - Lincoln

University of Alberta, Department of Earth and Atmospheric Sciences (EAS)
University of Alberta Department of Biology


    Recent Publications
  • Gamon JA, Huemmrich KF, Wong CY, Ensminger I, Garrity S, Hollinger DY, Noormets A, Peñuelas J. A remotely sensed pigment index reveals photosynthetic phenology in evergreen conifers. Proceedings of the National Academy of Sciences. 2016 Nov 1:201606162.
  • Wehlage DC, Gamon JA, Thayer D, Hildebrand DV. Interannual Variability in Dry Mixed-Grass Prairie Yield: A Comparison of MODIS, SPOT, and Field Measurements. Remote Sensing. 2016 Oct 22;8(10):872.
  • Williamson SN, Barrio IC, Hik DS, Gamon JA. Phenology and species determine growing‐season albedo increase at the altitudinal limit of shrub growth in the sub‐Arctic. Global change biology. 2016 May 1.
  • Nestola E, Calfapietra C, Emmerton CA, Wong C, Thayer DR, Gamon JA. Monitoring Grassland Seasonal Carbon Dynamics, by Integrating MODIS NDVI, Proximal Optical Sampling, and Eddy Covariance Measurements. Remote Sensing. 2016 Mar 19;8(3):260.
  • Wang R, Gamon JA, Emmerton CA, Li H, Nestola E, Pastorello GZ, Menzer O. Integrated analysis of productivity and biodiversity in a southern Alberta prairie. Remote Sensing. 2016 Mar 8;8(3):214.
  • Wang R, Gamon JA, Montgomery RA, Townsend PA, Zygielbaum AI, Bitan K, Tilman D, Cavender-Bares J. Seasonal variation in the NDVI–species richness relationship in a prairie grassland experiment (Cedar Creek). Remote Sensing. 2016 Feb 5;8(2):128.
  • Emmerton CA, St. Louis VL, Humphreys ER, Barker JD, Gamon JA, Pastorello GZ (2015) The net ecosystem exchange of rapidly changing high Arctic landscapes and potential for upscaling. Global Change Biology. First published online: DOI: 10.1111/gcb.13064

  • Emmerton CA, St. Louis VL, Humphreys ER, Barker JD, Gamon JA, Pastorello GZ (2015) The net ecosystem exchange of rapidly changing high Arctic landscapes and potential for upscaling. Global Change Biology. First published online: DOI: 10.1111/gcb.13064    

  • Flanagan LB, Sharp EJ, Gamon JA (2015)Application of the photosynthetic light-use efficiency model in a northern Great Plains grassland. Remote Sensing of Environment. 168:239-251.

  • Gamon JA (2015) Optical sampling of the flux tower footprint. Biogeosciences 12: 4509-4523. doi:10.5194/bg-12-4509-2015 (EuroSpec Special Issue
  • Gamon JA, Kovalchuk O, Wong CYS, Harris A, Garrity SR (2015). Monitoring seasonal and diurnal changes in photosynthetic pigments with automated PRI and NDVI sensors. Biogeosciences 12: 4149-4159. doi:10.5194/bg-12-4149-2015
  • Wong CYS, Gamon JA (2015) The Photochemical Reflectance Index (PRI) provides an optical indicator of spring photosynthetic activation in conifers New Phytologist. 206: 196–208, doi: 10.1111/nph.13251
  • Wong, CYS, Gamon JA (2015) Three causes of variation in the Photochemical Reflectance Index (PRI) in evergreen conifers. New Phytologist 206: 187–195, doi: 10.1111/nph.13159
  • Gitelson A, Gamon JA (2015) The need for a common basis for defining light-use efficiency: implications for productivity estimation. Remote Sensing of Environment 156:196-201.
  • Harris A., Gamon JA., Pastorello G.Z., *Wong CYS (2014) Retrieval of the photochemical reflectance index for assessing xanthophyll cycle activity: a comparison of near-surface optical sensors, Biogeosciences.
  • Williamson SN, Hik DS, Gamon JA, Kavanaugh JL, Flowers GE (2014) Estimating mean surface air temperature from MODIS Land Surface Temperature observations in a sub-Arctic alpine environment. Remote Sensing 6(2):946-963. DOI: 10.3390/rs6020946.

 

Links

 

About John Gamon

Dr. John Gamon studies the "breathing of the planet" - the exchanges of carbon and water vapour between the biosphere and the atmosphere that affect ecosystem productivity and help regulate our atmosphere and climate. Of particular interest are the effects of disturbance (fires, succession, weather events and climate change) on these basic processes. Additional research questions involve the detection of plant physiology, ecosystem function, species composition, and biodiversity using non-contact sampling methods. Much of this work is done with optical monitoring (remote sensing and automated field methods), and entails the development of new monitoring methods and related informatics tools.

To encourage wider usage of these methods, Dr. Gamon co-founded SpecNet, (Spectral Network), a network of collaborating sites and investigators using optical sampling methods (particularly spectral reflectance) to study ecological questions. Dr. Gamon conducts fieldwork in a range of ecosystems from the Arctic to the Tropics.

Research areas
  • Disturbance effects on ecosystem function
  • Climate change impacts in northern latitude ecosystems
  • Remote sensing for sampling terrestrial ecosystem composition and function
  • Remote sensing of biodiversity
  • Detecting plant biochemical responses with non-contact optical methods 
  • Plant ecophysiology, particularly related to photosynthesis and environmental stress
  • Eco-informatics and Cyberinfrastructure for ecosystem monitoring
Current Lab Projects
  1. “Evaluating growing season length and productivity across the ABoVE Domain using novel satellite indices and a ground sensor network” (ABoVE Program, NASA, USA)
  2. “Quantifiying the carbon balance of Mattheis Ranch” (Rangeland Research Institute, U. Alberta).
  3. “Imaging Spectrometry & Cyberinfrastructure for Biospheric Carbon Monitoring” (AITF).
  4. "Linking remotely sensed optical diversity to genetic, phylogenetic and functional diversity to predict ecosystem processes." (Collaborative Research, US NSF & NASA).
  5. "Ecological Spectral Information System (ESIS): Integration of Spectral Data with Measurements of Vegetation Functional Traits" (Collaborative Research, NASA).