Aslam et al. (2026) Modelling the influence of atmospheric CO
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Identification
- Journal: Springer Link (Chiba Institute of Technology)
- Year: 2026
- Date: 2026-04-22
- Authors: Muhammad Faizan Aslam, Andrea Borgo, Sara Masia, Marta Debolini, Valentina Mereu, Donatella Spano, Richard L. Snyder, Antonio Trabucco
- DOI: 10.1051/bioconf/202623503003/pdf
Research Groups
Not specified in the provided text.
Short Summary
This study evaluates the impact of climate change on water demand in Sardinian vineyards using the SIMETAWGIS model, finding that while water demand is projected to increase by mid-century, rising atmospheric $\text{CO}2$ concentrations partially mitigate this effect.
Objective
- To assess the impact of climate change and increasing atmospheric $\text{CO}_2$ concentrations on the evapotranspiration demand of vineyards in the Sardinia region of Italy.
Study Configuration
- Spatial Scale: Sardinia region, Italy.
- Temporal Scale: Comparison between a historical period (1976-2005) and a mid-century projection period (2036-2065).
Methodology and Data
- Models used: Simulation of Evapotranspiration of Applied Water (SIMETAW_GIS).
- Data sources: High-resolution climate future projections under three Representative Concentration Pathways (RCP2.6, RCP4.5, and RCP8.5).
Main Results
- Grapevine water demand is projected to increase by 5%–7% when accounting for $\text{CO}2$ fertilization ($\text{CO}2\text{fert}$) and by 7%–10% under constant $\text{CO}2$ levels ($\text{CO}2\text{const}$) between the historical and mid-century periods.
- The inclusion of $\text{CO}2$ effects significantly limits vegetation water demand by altering canopy resistance in the reference evapotranspiration ($\text{ET}0$) estimation.
Contributions
- The research emphasizes the critical importance of integrating $\text{CO}_2$ fertilization effects into crop water demand assessments to ensure more accurate projections and the development of sustainable adaptive irrigation strategies for semi-arid vineyards.
Funding
Not specified in the provided text.
Citation
@article{Aslam2026Modelling,
author = {Aslam, Muhammad Faizan and Borgo, Andrea and Masia, Sara and Debolini, Marta and Mereu, Valentina and Spano, Donatella and Snyder, Richard L. and Trabucco, Antonio},
title = {Modelling the influence of atmospheric CO},
journal = {Springer Link (Chiba Institute of Technology)},
year = {2026},
doi = {10.1051/bioconf/202623503003/pdf},
url = {https://doi.org/10.1051/bioconf/202623503003/pdf}
}
Original Source: https://doi.org/10.1051/bioconf/202623503003/pdf