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Zoe Amie Pierrat

NASA Postdoctoral Program Fellow

About

Bio

Zoe Amie Pierrat is a NASA Postdoctoral Program fellow in the Carbon Cycle & Ecosystems group at JPL. She uses a combination of field and satellite-based remote sensing in conjunction with modelling frameworks to understand terrestrial carbon and water cycles. 

Education

  • PhD in Atmospheric and Oceanic Science, UCLA, 2023
  • M.S. in Atmospheric and Oceanic Science, UCLA, 2020
  • B.A. in Physics: Environmental Emphasis, minor in Chemistry, Colorado College, 2017 

Research Interests

Carbon and water cycles, solar-induced fluorescence, thermal infrared radiation, land-atmosphere feedbacks

Experience

Professional Experience

  • Postdoctoral Researcher, JPL, 2023-Present
  • Visiting Instructor, Physics Department, Colorado College, 2024-2025
  • Graduate Student, UCLA, 2018-2023
  • Paraprofessional, Colorado College, 2017-2018

Achievements

Awards & Recognitions

Publications

Peer-Reviewed Publications
  1. Pierrat, Z. A., Magney, T. S., Maguire, A., Brissette, L., Doughty, R., Bowling, D. R., Logan, B., Parazoo, N., Frankenberg, C., Stutz, J. (2024). Seasonal timing of fluorescence and photosynthetic yields at needle and canopy scales in evergreen needleleaf forests. Ecology, e4402. https://doi.org/10.1002/ecy.4402 *This paper has a photo gallery accompaniment at: Pierrat, Z. A., T. Magney, A. Maguire, L. Brissette, R. Doughty, D. R. Bowling, B. Logan, N. Parazoo, C. Frankenberg, and J. Stutz. 2024. Waking Before the Snow Melts: Detecting the Spring Transition in Evergreen Needleleaf Forests. Bull Ecol Soc Am 0(0):e02185. https://doi.org/10.1002/bes2.2185
  2. Pierrat, Z. A., Magney, T. S., Cheng, R., Maguire, A. J., Wong, C. Y. S., Nehemy, M. F., Rao, M., *Nelson, S. E., *Williams, A. F., *Grosvenor, J. A. H., Smith, K. R., Reblin, J. S., Stutz, J., Richardson, A. D., Logan, B. A., & Bowling, D. R. (2024). The biological basis for using optical signals to track evergreen needleleaf photosynthesis. BioScience, biad116. https://doi.org/10.1093/biosci/biad116
  3. Pierrat, Z., Magney, T., Yang, X., Khan, A., Albert, L. (2023). Ecosystem observations from every angle, Eos, 104, https://doi.org/10.1029/2023EO230483. Published on 14 December 2023.
  4. Nehemy, M. F., Pierrat, Z., Maillet, J., Richardson, A. D., Stutz, J., Johnson, B., Helgason, W., Barr, A. G., Laroque, C. P., & McDonnell, J. J. (2023). Phenological assessment of transpiration: The stem-temp approach for determining start and end of season. Agricultural and Forest Meteorology, 331, 109319. https://doi.org/10.1016/j.agrformet.2023.109319
  5. Poulter, B., Currey, B., Calle, L., Shiklomanov, A. N., Amaral, C. H., Brookshire, E. N. J., Campbell, P., Chlus, A., Cawse-Nicholson, K., Huemmrich, F., Miller, C. E., Miner, K., Pierrat, Z., Raiho, A. M., Schimel, D., Serbin, S., Smith, W. K., Stavros, N., Stutz, J., … Zhang, Z. (2023). Simulating Global Dynamic Surface Reflectances for Imaging Spectroscopy Spaceborne Missions: LPJ-PROSAIL. Journal of Geophysical Research: Biogeosciences, 128(1), e2022JG006935. https://doi.org/10.1029/2022JG006935
  6. Pierrat, Z. A., Bortnik, J., Johnson, B., Barr, A., Magney, T., Bowling, D. R., Parazoo, N., Frankenberg, C., Seibt, U., & Stutz, J. (2022). Forests for forests: Combining vegetation indices with solar-induced chlorophyll fluorescence in random forest models improves gross primary productivity prediction in the boreal forest. Environmental Research Letters, 17(12), 125006. https://doi.org/10.1088/1748-9326/aca5a0
  7. Cheng, R., Magney, T. S., Orcutt, E. L., Pierrat, Z., Köhler, P., Bowling, D. R., Bret-Harte, M. S., Euskirchen, E. S., Jung, M., Kobayashi, H., Rocha, A. V., Sonnentag, O., Stutz, J., Walther, S., Zona, D., & Frankenberg, C. (2022). Evaluating photosynthetic activity across Arctic-Boreal land cover types using solar-induced fluorescence. Environmental Research Letters, 17(11), 115009. https://doi.org/10.1088/1748-9326/ac9dae
  8. Pierrat, Z., Magney, T., Parazoo, N. C., Grossmann, K., Bowling, D. R., Seibt, U., Johnson, B., Helgason, W., Barr, A., Bortnik, J., Norton, A., Maguire, A., Frankenberg, C., & Stutz, J. (2022). Diurnal and Seasonal Dynamics of Solar-Induced Chlorophyll Fluorescence, Vegetation Indices, and Gross Primary Productivity in the Boreal Forest. Journal of Geophysical Research: Biogeosciences, 127(2), e2021JG006588. https://doi.org/10.1029/2021JG006588
  9. Nelson, P. R., Maguire, A. J., Pierrat, Z., Orcutt, E. L., Yang, D., Serbin, S., Frost, G. V., Macander, M. J., Magney, T. S., Thompson, D. R., Wang, J. A., Oberbauer, S. F., Zesati, S. V., Davidson, S. J., Epstein, H. E., Unger, S., Campbell, P. K. E., Carmon, N., Velez‐Reyes, M., & Huemmrich, K. F. (2022). Remote Sensing of Tundra Ecosystems Using High Spectral Resolution Reflectance: Opportunities and Challenges. Journal of Geophysical Research: Biogeosciences, 127(2). https://doi.org/10.1029/2021JG006697
  10. Maguire, A. J., Eitel, J. U. H., Magney, T. S., Frankenberg, C., Köhler, P., Orcutt, E. L., Parazoo, N. C., Pavlick, R., & Pierrat, Z. A. (2021). Spatial covariation between solar-induced fluorescence and vegetation indices from Arctic-Boreal landscapes. Environmental Research Letters, 16(9), 095002. https://doi.org/10.1088/1748-9326/ac188a
  11. Pierrat, Z., Nehemy, M. F., Roy, A., Magney, T., Parazoo, N. C., Laroque, C., Pappas, C., Sonnentag, O., Grossmann, K., Bowling, D. R., Seibt, U., *Ramirez, A., Johnson, B., Helgason, W., Barr, A., & Stutz, J. (2021). Tower-Based Remote Sensing Reveals Mechanisms Behind a Two-phased Spring Transition in a Mixed-Species Boreal Forest. Journal of Geophysical Research: Biogeosciences, 126(5), e2020JG006191. https://doi.org/10.1029/2020JG006191
Data Published
  1. Pierrat, Z. (2023). Evergreen needleleaf forest pigment, MONI-PAM, eddy-covariance, and tower-scale remote sensing data across four different sites [Data set]. In BioScience. Zenodo. https://doi.org/10.5281/zenodo.10048770
  2. Pierrat, Z., Troy Magney, David R. Bowling, Bruce Johnson, Alan Barr, & Jochen Stutz. (2022). Boreal forest tower-based remote sensing data (solar-induced fluorescence and reflectance-based vegetation indices) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7231157
  3. Pierrat, Z., & Jochen Stutz. (2022). Tower-based solar-induced fluorescence and vegetation index data for Southern Old Black Spruce forest (Version 2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7596931
  4. Pierrat, Z., Johnson, B., Helgason, W., Barr, A., Stutz, J. (2022). Gross primary production and environmental observations for a mature black spruce site located in central Saskatchewan, Canada, for the period Sep-2018 to Dec-2020. Federated Research Data Repository. https://doi.org/10.20383/102.0550
  5. Pierrat, Z., Troy Magney, & Jochen Stutz. (2021). Tower-based remote sensing data for understory vegetation at Delta Junction, Alaska 2019-2020 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5806488
  6. Pierrat, Z., Johnson, B., Helgason, W., Barr, A., Stutz, J. (2021). Environmental and gross primary production observations for a mature black spruce site located in central Saskatchewan, Canada. Federated Research Data Repository. https://doi.org/10.20383/101.0300
  7. Pierrat, Z., & Stutz, J. (2021). Tower-based remote sensing data for mixed-species boreal forest spring transition 2019 and 2020 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4637567