GC038
Data-driven approaches to improve climate impact accounting for nature-based carbon removal
Data-driven approaches to improve climate impact accounting for nature-based carbon removal
Session ID#: 251058
Session Description:
Natural ecosystems already take nearly a third of anthropogenic emissions out of the atmosphere each year. Enhancing this effect by restoring forest ecosystems has the potential to remove an additional ~2-4 billion tons CO2 annually. Despite the large potential, consensus on how to measure the net climate impact of nature-based carbon removal projects remains elusive and impedes investment on the ground. In addition to the challenge of precisely quantifying the carbon stored in soil and biomass, project-scale climate impact accounting includes quantification of additionality, leakage, durability, biophysical impacts, and other unintended climate benefits or harms. This session seeks submissions from interdisciplinary researchers working on practical and data-driven approaches to measure the net climate impact of restoration and reforestation for carbon removal. We welcome contributions that experiment with observational, modeling, synthesis, forecasting, or data-driven tools to the community more completely quantify the climatic impact of restoration for nature-based carbon removal.
Co-Sponsor(s):
- B - Biogeosciences
Index Terms:
0481 Restoration [BIOGEOSCIENCES]
1615 Biogeochemical cycles, processes, and modeling [GLOBAL CHANGE]
1640 Remote sensing [GLOBAL CHANGE]
1694 Instruments and techniques [GLOBAL CHANGE]
Primary Convener: Connor Nolan, Stanford University, Stanford Woods Institute for the Environment, Stanford, United States
Conveners: Kimberly A Novick, Indiana University Bloomington, Bloomington, United States, Kyle Hemes, Amazon Worldwide Sustainability, Seattle, United States and Trevor Keenan, University of California, Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, United States
See more of: Global Environmental Change