
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
Topic Area(s)
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
- Professional Society and External Organization Awards | UCLA | Center for Diverse Leadership in Science Early Career Fellow and Leadership Facilitator (2023)
- Professional Society and External Organization Awards | UCLA | Eugene V. Cota-Robles Fellow (2023)
- Professional Society and External Organization Awards | Journal of Geophysical Research | Journal of Geophysical Research: Biogeosciences Top Cited Article (2021)
- Professional Society and External Organization Awards | National Science Foundation | Graduate Research Fellow Program (2020)
- Professional Society and External Organization Awards | AGU | Outstanding Student Presentation Award, AGU Fall meeting (2020)
- Professional Society and External Organization Awards | UCLA | Brian Bosart Award (2019)
- Professional Society and External Organization Awards | Colorado College | Barbara Whitten Prize for Women in the Natural Sciences, Colorado College (2017)
Publications
Peer-Reviewed Publications
- 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
- 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
- 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.
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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