"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 are testing 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.
Supported by the European Space Agency via Forschungszentrum Jülich (funding pending), with additional contributions from Canadian and US funding sources, this project explores several optical indices as "proxies" of photosynthetic function using multiscale remote sensing (proximal, aircraft and satellite sensing). Calibration and validation field sites in Europe, and North America are used to validate optical measurements (solar-induced fluorescence and reflectance indices) from satellite and aircraft, providing novel metrics of photosynthetic activity and plant stress. Our research examines the scale dependence of these optical metrics for improved estimation of photosynthetic productivity.
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 apply via this website. Direct inquiries will not be accepted.
Congratulations to Kyle Springer, who recently completed his Master's!
Click here for a more complete list of Dr. Gamon's papers.
Gholizadeh H, Gamon JA, Zygielbaum AI, Hmimina GY, Yu R, *Moore RM, Helzer CJ, Townsend PA, Schweiger AK, Cavender-Bares J (2018)Detecting prairie biodiversity with airborne remote sensing. Remote Sensing of Environment. 221:38-49
Williamson SN, Anslow FS, Clarke GCK, Gamon JA, Jarosch AH, Hik DS (2018) Spring warming in the southwest Yukon is not amplified by the snow albedo feedback” Scientific Reports, 8(1): 9000. DOI: 10.1038/s41598-018-27348-7
Wang, R, Gamon JA, Schweiger AK, Cavender-Bares J, *Kothari S, Townsend PA, Zygielbaum AI (2018) Influence of species richness, evenness and composition on optical diversity: a simulation study. Remote Sensing of Environment. 211, 218-228
Schweiger AK, Cavender-Bares J, Townsend PA, Hobbie SE, Madritch MD, *Wang R, Tilman D, Gamon JA (2018) Leaf spectral diversity explains productivity, functional and phylogenetic diversity in a grassland experiment. Nature Ecology & Evolution. 2:976-982. doi: 10.1038/s41559-017-0191 PDF
Kothari, S, Cavender-Bares, J, *Bitan, K, Verhoeven AS, *Wang R, Montgomery RA, Gamon JA, (2018) Community-wide consequences of variation in photoprotective physiology in prairie plants. Photosynthetica. 56(1): 455-467. DOI: 10.1007/s11099-018-0777-9
Wang R, Gamon JA, Cavender-Bares J, Townsend PA, Zygielbaum AI (2017) The spatial sensitivity of optical diversity-biodiversity relationship: an experimental test in a prairie grassland (Cedar Creek). Ecological Applications DOI: 10.1002/eap.1669
- Springer K, *Wang R, Gamon J (2017) Parallel Seasonal Patterns of Photosynthesis, Fluorescence, and Reflectance Indices in Boreal Trees. Remote Sensing 9:691, doi:10.3390/rs9070691 (FLEX Special Issue)
Cavender-Bares J, Gamon JA, Hobbie S, Madritch M, Meireles J, Schweiger A, Townsend P (2017) Harnessing plant spectra to integrate the biodiversity sciences across biological and spatial scales. American Journal of Botany. 104(7):1-4
Gamon JA, Huemmrich KF, *Wong CYS, Ensminger I, Garrity S, Hollinger DY, Noormets A, Peñuelas J (2016) A remotely sensed pigment index reveals photosynthetic phenology in evergreen conifers. Proceedings of the National Academy of Sciences. 113 (46), 13087-13092 doi:10.1073/pnas.1606162113
Wehlage DC, Gamon JA, Thayer D, Hildebrand D (2016) Interannual variability in dry mixed-grass prairie yield: a comparison of MODIS, SPOT, and field measurements. Remote Sensing 8, 872; doi:10.3390/rs8100872
Scott N. Williamson, Isabel C. Barrio, David S. Hik, John A. Gamon, (2016) Phenology and species determine growing season albedo increase at the altitudinal limit of shrub growth in the sub-Arctic. Global Change Biology. doi: 10.1111/gcb.13297