"I welcome inquiries from applicants interested in ecology (ecophysiology, ecosystems ecology), remote sensing, ecosystem modeling and eco-informatics and cyberinfrastructure. Please complete an online application."
This project applies new optical sampling methods to study biodiversity, gas exchange (the breathing of the planet), and ecosystem feedbacks to the atmosphere and climate. The central theme is “optical diversity” – variation in vegetation optical patterns in time and space – because optical variation reveals useful information about underlying species richness, functional diversity, and ecosystem processes.
This project measures net carbon uptake at Mattheis Ranch using eddy covariance and remote sensing methods, validated by independent ground sampling. This work can provide a basis for improved rangeland management that optimizes carbon sequestration, ecosystem productivity and biodiversity.
This project uses novel field sensors and remote sensing to monitor patterns of ecosystem-atmosphere carbon exchange (the “breathing of the planet”). A key focus is the integration of optical remote sensing with gas flux measurements, with the goal of developing improved optical methods of monitoring ecosystem function.
Funded by the US National Science Foundation (NSF) and the National Aeronautic and Space Administration (NASA), this project will explore the ability of remote sensing to detect biodiversity at many levels. In particular, we will test the Optical Diversity and Surrogacy hypotheses using experimental studies at Cedar Creek Reserve and other sites in the US Midwest. Interested applicants should also consider applying directly to partner universities, which include the University of Nebraska and the University of Minnesota. Click here to read the project ABSTRACT.
Funded by the US National Aeronautic and Space Administration (NASA), this project is developing spectral data systems (databases and related software tools for processing, analyzing, visualizing and archiving spectral data) for ecological questions. Project PI: Phil Townsend (University of Wisconsin). Opportunities for this project are funded through partner institutions, including the University of Wisconsin, the University of Nebraska, and SpecNet. Interested applicants should consider applying through one of these institutions. Click here to read the project Overview & Synopsis.
Student Positions: Graduate and undergraduate research opportunities are available (University of Alberta and Universty of Nebraska)
Technical Positions: Technical support opportunites are available (University of Alberta and Universty of Nebraska)
Funding sources: NASA (US), NSF (US), AITF (Alberta), Rangeland Research Institute (U. Alberta), NSERC (Canada), SpecNet and Decagon Inc. (Pullman WA, USA).
Duties vary with topic and level of experience & training.
Applicants should submit a preliminary application via this website, or contact John Gamon (email@example.com).
Congratulations to recent lab graduates:
Welcome to new labmembers Ran Wang, Kyle Springer, and
Click here for a more complete list of Dr. Gamon's papers.
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.