Bio


Jack Lamb is a PhD student working under Professor Alison Hoyt in the Earth System Science department. He is interested in developing low-cost instrumentation networks for effective ground-truthing and upscaling of satellite imagery.

Education & Certifications


  • BS, BA, University of California, Berkeley, Mechanical Engineering, Geophysics (2021)

All Publications


  • Tree stem methane emissions are regulated by site-level biogeochemistry over species identity in Amazon floodplain forests. The New phytologist Blincow, H. R., McNamara, N. P., Elias, D. M., Gomez, C., Lamb, J., Nunes de Sousa, R., Gris, D., Pequeno Reis, L., Hoyt, A. M., Pangala, S. R. 2026

    Abstract

    Tree stems in Amazonian floodplains emit substantial methane (CH4), yet controls on emission variability remain unclear. Emissions span orders of magnitude between várzea (nutrient-rich) and igapó (nutrient-poor) forests and among trees, suggesting controls beyond flooding. We tested whether site-level biogeochemistry better explains stem CH4 variability than species identity by measuring emissions from two co-occurring species with contrasting wood densities - Eschweilera coriacea and Hevea spruceana - across várzea and igapó forests. Emissions were paired with porewater chemistry (electrical conductivity, dissolved oxygen, dissolved CH4, and dissolved organic carbon), methane production potential (MPP), and root biomass. Stem CH4 emissions were significantly higher in várzea than in igapó, independent of species or stem height. Várzea porewaters displayed higher conductivity, dissolved CH4 and MPP, near-neutral pH, and lower oxygen, with fine roots concentrated in the 0- to 50-cm soil layer, indicating a shallow CH4 supply zone. Basal stem emissions in várzea correlated with shallow porewater chemistry and fine-root biomass, whereas relationships in igapó were weak. These findings show that Amazonian floodplain stem CH4 emissions are governed by shallow site-level biogeochemistry, rather than species identity alone and should be incorporated into basin-scale CH4 budgets and process models to capture spatial variability.

    View details for DOI 10.1111/nph.71168

    View details for PubMedID 41992799

  • Advancing the Understanding of Snow Accumulation, Melting, and Associated Thermal Insulation Using Spatially Dense Snow Depth and Temperature Time Series GEOPHYSICAL RESEARCH LETTERS Wang, C., Shirley, I. A., Wielandt, S., Fiolleau, S., Lamb, J. R., Uhlemann, S., Ulrich, C., Bennett, K. E., Dafflon, B. 2025; 52 (8)