EGU26-2329, updated on 13 Mar 2026
https://doi.org/10.5194/egusphere-egu26-2329
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Tuesday, 05 May, 15:27–15:30 (CEST)
 
vPoster spot 5
Poster | Tuesday, 05 May, 16:15–18:00 (CEST), Display time Tuesday, 05 May, 14:00–18:00
 
vPoster Discussion, vP.30
Quantifying Urban Biogenic CO2 Fluxes in Greenhouse Gas Budgets: A Scalable Framework and Case Study
Qing Luo1, Ricard Segura-Barrero2, Alba Badia3, Thomas Lauvaux4, Junwei Li5, Jia Chen5, and Gara Villalba1,6
Qing Luo et al.
  • 1Autonomous University of Barcelona, Institute of Environmental Science and Technology (ICTA) , Barcelona, Spain
  • 2Institute Pierre Simon Laplace, Palaiseau, France
  • 3Atmospheric Composition Group, Earth Sciences Department, Barcelona Super-computing Center, Barcelona, Spain
  • 4Molecular and Atmospheric Spectrometry Group, University of Reims Champagne Ardenne, Reims, France
  • 5Environmental Sensing and Modelling, School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
  • 6Department of Chemical, Biological and Environmental Engineering, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain

To advance urban sustainability and achieve climate neutrality, cities are proposing various decarbonization strategies through nature-based solutions, including the implementation of green infrastructures (GI). Accurately quantifying urban biogenic CO2 exchange is essential for developing robust greenhouse gas budgets and for distinguishing biogenic from anthropogenic contributions to atmospheric CO2 in urban environments.

This study systematically reviews current approaches for estimating urban biogenic CO2 fluxes from both measurement- and model-based perspectives, evaluating their advantages, limitations, and applicability in urban contexts. Building on this review, we present an optimized framework to quantify urban biospheric CO2 fluxes using the Vegetation Photosynthesis and Respiration Model (VPRM) driven by a high-resolution land cover map and sentinel-2 satellite data. The framework is applied to the Metropolitan Area of Barcelona for April and December 2023 at a 10 m spatial resolution. Results show that evergreen needleleaf forests and croplands act as significant carbon sinks in April, with biogenic CO2 uptake offsetting approximately 10% of anthropogenic CO2 emissions in April and 4% in December. A cross-city comparison of urban vegetation cover, climatic conditions, and the biogenic offset effects indicates that increased vegetation cover does not necessarily translate into a proportionally stronger carbon sink. Nevertheless, this study proposes that a standardized framework for accounting for biogenic CO2 fluxes and uptake should be established to provide critical support for GI-based mitigation strategies in urban planning.

 
 
 

How to cite: Luo, Q., Segura-Barrero, R., Badia, A., Lauvaux, T., Li, J., Chen, J., and Villalba, G.: Quantifying Urban Biogenic CO2 Fluxes in Greenhouse Gas Budgets: A Scalable Framework and Case Study, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2329, https://doi.org/10.5194/egusphere-egu26-2329, 2026.