Code and Scripts. All code is readily available at our github and at a public repository (DOI: 10.5281/zenodo.19087524).
Open resource ↗Zenodo · 10.5281/zenodo.19087524 · pdf-raw-page:8 lines:1-60Unverified paper record
Mapping CO 2 fixation to two effective parameters: A framework toward data-informed species and model comparison.
Proceedings of the National Academy of Sciences of the United States of America · 5 Jun 2026 · 10.1073/pnas.2609915123
Abstract
To improve crop yield and resilience, it is essential to identify the steps limiting [Formula: see text] assimilation rate in plant leaves. The combined effect of multiple traits can be resolved by mechanistic models of the underlying diffusion, biochemistry, and geometry. Yet the widely used simple serial resistance models overlook tissue geometry, and detailed anatomical models are computationally heavy and rely on parameters that are difficult to measure. Here, we develop a framework for systematic species and model comparison, and find that the necessary level of model resolution is species-specific. We apply a minimal reaction-diffusion model and reduce [Formula: see text] fixation in leaves to two key parameters. These parameters comprise a compact phase space in which three rate-limiting regimes emerge naturally: stomatal uptake, intercellular diffusion, and intracellular processes. Mapping diverse plant species into this phase space reveals: 1) dominant colimitations by stomatal and intracellular processes, 2) an equal partition between species that require spatially resolved leaf-scale models and species where intracellular models suffice. Taken together, we present a scalable path for interpreting complex trait data and bridging between models.
Plant phenotyping relevance
葉のCO2固定を機構モデルで2パラメータに縮約し、複数種の生理的制限状態と複雑な形質データを解釈・比較する計算フレームワークが中心であるため、植物生理形質の推定・解析手法として含める。
abstractHere, we develop a framework for systematic species and model comparison
abstractWe apply a minimal reaction-diffusion model and reduce [Formula: see text] fixation in leaves to two key parameters.
abstractTaken together, we present a scalable path for interpreting complex trait data and bridging between models.
Code and data availability
The paper deposits its analysis code/scripts publicly on Zenodo (DOI 10.5281/zenodo.19087524) and GitHub (andreas-stillits/CarbonFixationModel), and uses the publicly deposited Knauer et al. leaf-trait/mesophyll-conductance dataset on Figshare (10.6084/m9.figshare.19681410) to map species into (τ, γ) space. All three,
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