The Franks model CO2 proxy: Do assimilation rate values or isotopic corrections optimize CO2 reconstruction accuracy?Open Access

Morck, H.; Teickner, H.; Knorr, K.-H.; Jardine, P.E.

Research article (journal) | Peer reviewed

Abstract

Paleo-CO2 proxies are crucial for reconstructing past atmospheric CO2 variations and understanding their impact on Earth's climate, especially in light of anthropogenic climate change. The mechanistic leaf gas exchange model of Franks et al. (2014), https://doi.org/10.1002/2014gl060457 utilizes the relationship between atmospheric CO2 and chemical and morphological fossil leaf traits for CO2 reconstructions. While the model has shown promising results, its applicability to different plant groups remains unclear, particularly whether there are consistent offsets in CO2 estimates among major plant clades. In this study, we evaluate the performance of the model across different phylogenetic groups (ferns, gymnosperms, and angiosperms), with generic input values and recommended adjustments to isotopic measurement values, assimilation rates and the scaling of maximum to operational stomatal conductance, by applying the Franks model to living plants. Results show generally accurate CO2 estimates, but high interspecies variations with generic values; a clade-level bias is therefore unlikely. Consequentially, the corrections to isotopic measurement values to remove a phylogenetic effect do not show improvements across the three plant groups. Adjustments to the assimilation rate based on phylogeny, growth form and solar exposure result in a decrease in variation and an improvement in CO2 estimates. While the minor change in stomatal conductance scaling values for woody angiosperms results in limited improvements in accuracy, precision decreases due to higher measurement uncertainty. Overall, the results of this study suggest that the Franks model has a high potential for accurately reconstructing past atmospheric CO2 within a multitaxon study, especially with careful choice of assimilation rate values.

Details about the publication

JournalPaleoceanography and Paleoclimatology
Volume41
Issue4
Article numbere2025PA005350
StatusPublished
Release year2026 (13/04/2026)
Language in which the publication is writtenEnglish
KeywordsPaleo-CO2; atmospheric CO2; climate; paleo climate; franks model

Authors from the University of Münster

Jardine, Phillip
Knorr, Klaus-Holger
Morck, Hannah
Teickner, Henning