Primary Convener:
Tackang Yang, Seoul National University

Convener:
Youngryel Ryu, Seoul National University
Changhyun Choi, Seoul National University
Huiqi Wang, University of California Berkeley

Early Career Convener:
Jianing Fang, Columbia University

Chair:
Tackang Yang, Seoul National University
Changhyun Choi, Seoul National University
Huiqi Wang, University of California Berkeley
Jianing Fang, Columbia University

Land carbon sinks offset roughly one-third of anthropogenic CO₂ emissions, but their magnitude and underlying drivers remain uncertain. Researchers employ top-down approaches (e.g., atmospheric inversions) and bottom-up models (e.g., dynamic global vegetation models) to estimate land carbon fluxes. Top-down models constrain net fluxes at broad scales but struggle to partition components at finer resolutions. Bottom-up models represent process-level mechanisms but often suffer from structural and scaling biases. Despite methodological advances, spatial and temporal discrepancies persist between these two approaches. These inconsistencies may result from limited long-term observations in tropical regions, incompletely characterized ecosystem responses (e.g., to climate change, vegetation mortality, and carbon allocation), and insufficient representation of key processes (e.g., disturbance-induced or anthropogenic degradation). This session invites contributions aimed at reducing these uncertainties using in-situ or remote sensing observations, innovative modeling techniques, or integrative frameworks to reconcile divergent estimates and improve the robustness of land carbon sink assessments.

Index Terms
0428 Carbon cycling
0480 Remote sensing
1630 Impacts of global change
1631 Land|atmosphere interactions

Suggested Itineraries:
Disasters‚ Calamities and Extreme Events
National Climate Assessment
Climate Change and Global Policy
Machine Learning and AI
Open Science and Open Data
Global Impacts‚ Solutions‚ & Policies

Neighborhoods:
3. Earth Covering