- GC31G: Data-Driven Approaches to Improve Climate Impact Accounting for Nature-Based Carbon Removal II Poster
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NOLA CC
Primary Convener:Generic 'disconnected' Message
Connor Nolan, Stanford University
Convener:
Kimberly Novick, Indiana University Bloomington
Kyle Hemes, Amazon Worldwide Sustainability
Trevor Keenan, University of California, Berkeley
Chair:
Connor Nolan, University of Arizona
Kimberly Novick, Indiana University Bloomington
Kyle Hemes, Stanford University
Trevor Keenan, University of California, Berkeley
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.
Index Terms
0481 Restoration
1615 Biogeochemical cycles, processes, and modeling
1640 Remote sensing
1694 Instruments and techniques
Cross-Listed:
B - Biogeosciences
Suggested Itineraries:
Global Impacts‚ Solutions‚ & Policies
Neighborhoods:
3. Earth Covering
Scientific DisciplineSuggested ItinerariesNeighborhoodType
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