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Deployment expectations of multi-gigatonne scale carbon removal could have adverse impacts on Asia's energy-water-land nexus

Environmental Studies and Forestry

Deployment expectations of multi-gigatonne scale carbon removal could have adverse impacts on Asia's energy-water-land nexus

J. D. Ampah, C. Jin, et al.

This groundbreaking study explores how carbon dioxide removal (CDR) strategies could shape the energy-land-water systems in Asia. With significant fossil fuel emissions predicted to persist into 2050, the researchers, including Jeffrey Dankwa Ampah and Chao Jin, emphasize the need for targeted emission reduction, ensuring Asian nations can effectively navigate their climate ambitions.... show more
Abstract
Existing studies indicate that future global carbon dioxide (CO₂) removal (CDR) efforts could largely be concentrated in Asia. However, there is limited understanding of how individual Asian countries and regions will respond to varying and uncertain scales of future CDR concerning their energy-land-water system. We address this gap by modeling various levels of CDR-reliant pathways under climate change ambitions in Asia. We find that high CDR reliance leads to residual fossil fuel and industry emissions of about 8 Gigatonnes CO₂yr⁻¹ (GtCO₂yr⁻¹) by 2050, compared to less than 1 GtCO₂yr⁻¹ under moderate-to-low CDR reliance. Moreover, expectations of multi-gigatonne CDR could delay the achievement of domestic net zero CO₂ emissions for several Asian countries and regions, and lead to higher land allocation and fertilizer demand for bioenergy crop cultivation. Here, we show that Asian countries and regions should prioritize emission reduction strategies while capitalizing on the advantages of carbon removal when it is most viable.
Publisher
Nature Communications
Published On
Jul 27, 2024
Authors
Jeffrey Dankwa Ampah, Chao Jin, Haifeng Liu, Mingfa Yao, Sandylove Afrane, Humphrey Adun, Jay Fuhrman, David T. Ho, Haewon McJeon
Tags
carbon dioxide removal
Asia
energy systems
fossil fuel emissions
climate ambitions
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