Shawn Serbin


  • Lamour, J., et al. “New Calculations For Photosynthesis Measurement Systems: What's The Impact For Physiologists And Modelers?”. New Phytologist, 2022, pp. 592 - 598.
  • Rogers, A., et al. “Reducing Model Uncertainty Of Climate Change Impacts On High Latitude Carbon Assimilation”. Global Change Biology, 2022, pp. 1222 - 1247.


  • Burnett, A. C., et al. “A Best-Practice Guide To Predicting Plant Traits From Leaf-Level Hyperspectral Data Using Partial Least Squares Regression”. Journal Of Experimental Botany, 2021, pp. 6175 - 6189.
  • Ely, K. S., et al. “A Reporting Format For Leaf-Level Gas Exchange Data And Metadata”. Ecological Informatics, 2021, p. 101232.
  • Euskirchen, E. S., et al. “Assessing Dynamic Vegetation Model Parameter Uncertainty Across Alaskan Arctic Tundra Plant Communities”. Ecological Applications, 2021.
  • Fer, I., et al. “Beyond Ecosystem Modeling: A Roadmap To Community Cyberinfrastructure For Ecological Data‐Model Integration”. Global Change Biology, 2021, pp. 13 - 26.
  • Yang, D., et al. “Landscape-Scale Characterization Of Arctic Tundra Vegetation Composition, Structure, And Function With A Multi-Sensor Unoccupied Aerial System”. Environmental Research Letters, 2021, p. 085005.
  • Cawse-Nicholson, K., et al. “Nasa's Surface Biology And Geology Designated Observable: A Perspective On Surface Imaging Algorithms”. Remote Sensing Of Environment, 2021, p. 112349.
  • Rogers, A., et al. “Triose Phosphate Utilization Limitation: An Unnecessary Complexity In Terrestrial Biosphere Model Representation Of Photosynthesis”. New Phytologist, 2021.


  • Yang, D., et al. “A Multi-Sensor Unoccupied Aerial System Improves Characterization Of Vegetation Composition And Canopy Properties In The Arctic Tundra”. Remote Sensing, 2020, p. 2638.


  • Serbin, S. P., et al. “From The Arctic To The Tropics: Multibiome Prediction Of Leaf Mass Per Area Using Leaf Reflectance”. New Phytologist, 2019, pp. 1557-1568.
  • Rogers, A., et al. “Terrestrial Biosphere Models May Overestimate Arctic Carbon Dioxide Assimilation If They Do Not Account For Decreased Quantum Yield And Convexity At Low Temperature”. New Phytologist, 2019, pp. 167 - 179.
  • Burnett, A. C., et al. “The “One‐Point Method” For Estimating Maximum Carboxylation Capacity Of Photosynthesis: A Cautionary Tale”. Plant, Cell & Environment, 2019, pp. 2472 - 2481.


  • Rogers, A., et al. “A Roadmap For Improving The Representation Of Photosynthesis In Earth System Models”. New Phytologist, 2017, pp. 22 - 42.
  • Lewin, K. F., et al. “A Zero-Power Warming Chamber For Investigating Plant Responses To Rising Temperature”. Biogeosciences, 2017, pp. 4071 - 4083.
  • Rogers, A., et al. “Terrestrial Biosphere Models Underestimate Photosynthetic Capacity And Carbon Dioxide Assimilation In The Arctic”. New Phytologist, 2017, pp. 1090 - 1103.


  • De Kauwe, M. G., et al. “A Test Of The ‘One-Point Method’ For Estimating Maximum Carboxylation Capacity From Field-Measured, Light-Saturated Photosynthesis”. New Phytologist, 2016, pp. 1130 - 1144.