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Shawn Serbin

Research Interests

Shawn Serbin is broadly trained in forest ecology, plant physiology, ecosystem science and remote sensing. His research focuses on the exchanges of carbon, water and energy between terrestrial ecosystems and the atmosphere with a focus on scaling and model-data synthesis. Shawn’s research spans several global biomes and leverages a number of tools including spectroscopy and novel quantitative methods, which he uses to effectively scale process knowledge.

Recent Publications

Full Publication List »

  • Meng R, Dennison PE, Zhao F, Shendryk I, Rickert A, Hanavan RP Cook BD, Serbin SP (2018) Mapping canopy defoliation by herbivorous insects at the individual tree level using bi-temporal airborne imaging spectroscopy and LiDAR measurements. Remote Sensing of Environment. 215, 170-183. (pdf)
  • Pisek J, Buddenbaum H, Camacho F, Hill J, Jensen JLR, Lange H, Liu Z, Piayda A, Qu Y, Roupsard O, Serbin SP, Solberg S, Sonnetag O, Thimonier A, Vuolo F (2018) Data synergy between leaf area index and clumping index Earth Observation products using photo collision probability theory. Remote Sensing of Environment. 215, 1-6. (pdf)
  • DuBois S, Desai AR, Singh A, Serbin SP, Goulden ML, Baldocchi DD, Ma S, Oechel WC, Wharton S, Kruger EL, Townsend PA (2018) Using imaging spectroscopy to detect variation in terrestrial ecosystem productivity across a water-stressed landscape. Ecological Applications. 28(5), 1313-1324.
  • Walker AP, Ye M, Lu D, De Kauwe MG, Gu L, Medlyn BE, Rogers A, Serbin SP (2018). The Multi-Assumption Architecture and Testbed (MAAT v1.0): R code for generating ensembles with dynamic model structure and analysis of epistemic uncertainty from multiple sources. Geoscientific Model Development. 11, 3159-3185 (pdf)
  • Meng R, Wu J, Zhao F, Cook BD, Hanavan RP, Serbin SP (2018). Measuring short-term post-fire forest recovery across a burn severity gradient in a mixed pine-oak forest using multi-sensor remote sensing techniques. Remote Sensing of Environment. 210, 282-296. (pdf)
  • Wu J, Kobayashi H, Stark SC, Meng R, Guan K, Tran NN, Gao S, Yang W, Restrepo-Coupe N, Miura T, Olivera RC, Rogers A, Dye DG, Nelson BW, Serbin S, Huete AR, Saleska SR (2018). Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest. New Phytologist. 217, 1507-1520. (pdf)
  • Silva-Perez V, Molero G, Serbin SP, Condon AG, Reynolds MP, Furbank RT, Evans JR (2018). Hyperspectral reflectance as a tool to measure biochemical and physiological traits in wheat. Journal of Experimental Botany. 69, 483-496. (pdf)
  • Fisher RA, Koven CD, Anderegg WRL, Christoffersen BO, Dietze MD, Farrior C, Holm JA, Hurtt G, Knox RG, Lawrence PJ, Longo M, Matheny AM, Medvigy D, Muller-Landau HC, Powel TL, Serbin SP, Sato H, Shuman J, Smith B, Trugman AT, Viskari T, Verbeeck H, Weng E, Xu C, Xu X, Zhang T, Moorcroft P (2018). Vegetation Demographics in Earth System Models: a review of progress and priorities. Global Change Biology. 24, 35-54. (pdf)

Recent Invited Talks

  • Serbin, SP et al. (2018). Characterizing plant responses to a changing environment, disturbance, and stress using near-surface to airborne reflectance spectroscopy. Ecological Society of America (ESA) Annual Meeting. New Orleans, Louisiana (invited talk). [abstract]
  • Serbin SP. et al. (2018). Next Generation Ecosystem Experiment in the Arctic (NGEE-Arctic). NASA ABoVE Science Team Meeting. Seattle, WA, USA [invited talk]
  • Serbin SP, Meng R, McmAhon A, Liberman-Cribbon, Ely, Rogers A, Wulschleger SD. (2018). Remote sensing of the spatial and temporal patterns of Arctic plant traits and ecosystem function. Department of Energy, Environmental Systems Science Principal Investigator Meeting, Potomac, MD, USA
  • Serbin SP. (2017). Evaluation of multiple mechanistic hypotheses of leaf photosynthesis and stomatal conductance against diurnal and seasonal data from two contrasting Panamanian tropical forests. American Geophysical Union, Fall Meeting, New Orleans, LA, USA
  • Serbin S. (2016). Measuring Plants from miles above. New York University School of Journalism. Brookhaven National Laboratory, NY, USA (Invited lecture).
  • Serbin, S.P., Dietze, M.C., and the PEcAn Team. (2016). PEcAn: A community tool to enable synthesis, evaluation forecasting. Second International Land Model Benchmarking (ILAMB) Workshop. Washington D.C., May 16-18, 2016. http://www.ilamb.org/meetings/washington2016/ (Invited Talk).

Education

  • Ph.D. Forest Ecology, University of Wisconsin-Madison, Madison, Wisconsin, USA
  • M.Sc. Forest Ecology, & Environmental Monitoring (dual M.Sc.), University of Wisconsin-Madison, Madison, Wisconsin, USA
  • B.A. Telecommunications with a cognate in Geography and Geographic Information Sciences, Michigan State University, East Lansing, Michigan, USA

Shawn Serbin

Associate Scientist, Terrestrial Ecosystem Science & Technology Group
Environmental Sciences Department
Brookhaven National Laboratory
Upton, NY 11973-5000
USA

phone: +1 (631) 344-3165
email: sserbin@bnl.gov
web:www.bnl.gov/envsci/testgroup
twitter: @doctorjackpine, @TESTgroup_BNL
Researcher ID: B-6392-2009
ORCiD: orcid.org/0000-0003-4136-8971