Using GEDI Waveform Lidar to Constrain Terrestrial Biosphere Model Predictions of Current and Future Carbon, Fluxes
Paul R. Moorcroft, Harvard University, paul_moorcroft@harvard.edu (Presenter)
Liling Chang, Harvard University, lilingchang@fas.harvard.edu
Shaoqing Liu, Harvard University, shaoqingliu@fas.harvard.edu
Alexander Antonarakis, University of Sussex, a.antonarakis@sussex.ac.uk
Stacy Bogan, Harvard University, sbogan@cga.harvard.edu
Marcos Longo, Lawrence Berkeley National Laboratory, mlongo@lbl.gov
Hao Tang, National University of Singapore, htang@umd.edu
John David Armston, University of Maryland, armston@umd.edu
Remote sensing measurements of terrestrial vegetation have been integral to the development of earth system models. The interplay between terrestrial biosphere models and remote sensing measurements has, however, entered a new, more complex, and more challenging era because modern-day terrestrial biosphere models are integrating predictions of short-term carbon, water, and energy fluxes into corresponding predictions of long-term changes in ecosystem composition and structure. In this study, we show how remote-sensing measurements of plant canopy structure, when combined with remote-sensing measurements of plant composition, can be used to constrain and improve terrestrial biosphere model simulations of current and near-term carbon, water and energy fluxes, and accompanying vegetation dynamics. Analyses in temperate and tropical ecosystems indicate that there are significant long-term, large-scale legacies of canopy structure and composition on predictions of ecosystem change over the coming century. The findings demonstrate the importance of canopy structure and composition to predictions about how on-going human activities are altering terrestrial ecosystems and their biogeochemical and biophysical dynamics.
Associated Project(s):
Poster Location ID: 3-11
Presentation Type: Poster
Session: Poster Session 3
Session Date: Thu (May 11) 3:00-5:00 PM
CCE Program: TE