Primary Convener:
Rafael Stern, Stanford University

Convener:
Robert Jackson, Stanford University
Alison Hoyt, Stanford University
Sara Knox, McGill University

Early Career Convener:
Fa Li, Stanford University

Chair:
Rafael Stern, Stanford University
Fa Li, University of Wisconsin-Madison

A better understanding and modeling of greenhouse gas (GHG) fluxes from natural ecosystems is essential for more reliable climate-change projection, mitigation, and adaptation. However, current estimates of natural GHGs remain highly uncertain. This session highlights observations, synthesis, mechanistic understanding, and upscaling/modeling of GHGs from natural ecosystems, including wetlands, freshwater systems, forests, and grasslands. Specifically, the topics include but are not limited to:- Measurements of CO₂, CH₄ and N₂O fluxes and their key drivers;- Data synthesis regionally and globally;- Understanding the mechanisms and spatiotemporal patterns of GHGs;- Upscaling/modeling of GHGs using machine learning, remote sensing top-down inversion, and bottom-up biogeochemistry models

Index Terms
0414 Biogeochemical cycles, processes, and modeling
0426 Biosphere|atmosphere interactions
1630 Impacts of global change

Suggested Itineraries:
Biochemistry

Cross-Listed:
A - Atmospheric Sciences
GC - Global Environmental Change

Neighborhoods:
3. Earth Covering