B008-01
Convergence and divergence of canopy photosynthesis, fluorescence, and reflected radiance

Monday, 7 December 2020: 07:00
Virtual
Troy Magney, University of California Davis, Plant Sciences, Davis, CA, United States, Grayson Badgley, Carnegie Institution for Science Stanford, Stanford, CA, United States, Alex J Turner, University of Washington Seattle Campus, Seattle, United States, Philipp Koehler, California Institute of Technology, Pasadena, CA, United States, Leander DL Anderegg, University of California Berkeley, Berkeley, CA, United States, Mallory Barnes, Univ of Hawaii Manoa, Honolulu, HI, United States, Katja Grossmann, Heidelberg University, Institute of Environmental Physics, Heidelberg, Germany, Zoe Pierrat, University of California Los Angeles, Los Angeles, CA, United States, Xi Yang, University of Virginia, Environmental Sciences, Charlottesville, VA, United States and Yi Yin, California Institute of Technology, Division of Geological and Planetary Sciences, Pasadena, CA, United States
Recorded Presentation
Abstract:
Proximal and satellite remote sensing are integral tools for estimating photosynthesis at the scale of canopies, continents, and the globe. It has been a long-standing goal to measure plant physiological function at scales relevant to global biogeochemical cycles, agricultural decision making, and environmental management. Recent advances in the remote sensing of solar-induced chlorophyll fluorescence (SIF) and near-infrared reflectance from vegetation (NIRv) have garnered wide interest from the biogeoscience and earth system science communities, due to their observed linearity with gross primary productivity (GPP) at sub-daily->daily and leaf->ecosystem spatiotemporal scales. While both approaches are rapidly growing in popularity, their adoption has introduced a unique set of challenges and uncertainties. This is particularly true when looking at finer spatial (photosystem, chloroplast, leaf) and temporal (monthly -> seconds) scales. We will present results from mechanistic studies on the drivers of SIF-NIRv-GPP dynamics from a wide range of spatiotemporal scales and ecosystems. In doing so, we will argue that the correspondence between SIF, NIRv, and GPP strongly supports the functional convergence hypothesis, with some exceptions (i.e. evergreen forests). A further exploration of the idiosyncratic nature of SIF, NIRv, and GPP across scales will ultimately advance our understanding of ecological theory, resource optimality, and canopy-scale emergent functional and structural traits.
Previous Abstract | Next Abstract >>