Opportunities and challenges in evaluating SIF-GPP relationship using SIF and machine learning-based GPP products

Publications:

_{Cheng, R. (2024), Solar-Induced chlorophyll Fluorescence (SIF): Towards a Better Understanding of Vegetation Dynamics and Carbon Uptake in Arctic-Boreal Ecosystems. Current Climate Change Reports, https://doi.org/10.1007/s40641-024-00194-8}

_{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., Walther, S., Zona, D., Frankenberg, C. (2022), Evaluating photosynthetic activity across Arctic-Boreal land cover types using solar-induced fluorescence. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ac9dae}

_{Byrne, B., Liu, J., Yi, Y., Chatterjee, A., Basu, S., Cheng, R., Doughty, R., Chevallier, F., Bowman, K.W., Parazoo, N. C., Crisp, D., Li, X., Xiao, J., Sitch, S., Guenet, B., Deng, F., Johnson, M. S., Philip, S., Mcguire, P. C., and Miller, C. E. (2022), Multi-year observations reveal a larger than expected autumn respiration signal across northeast Eurasia. Biogeosciences. https://doi.org/10.5194/bg-19-4779-2022}