Incorporating the Acclimation of Photosynthesis and Leaf Respiration in the Noah‐MP Land Surface Model: Model Development and Evaluation DOI Creative Commons

Yanghang Ren,

Han Wang, Sandy P. Harrison

et al.

Journal of Advances in Modeling Earth Systems, Journal Year: 2025, Volume and Issue: 17(3)

Published: March 1, 2025

Abstract Realistic simulation of leaf photosynthetic and respiratory processes is needed for accurate prediction the global carbon cycle. These two systematically acclimate to long‐term environmental changes by adjusting traits (e.g., maximum capacity at 25°C ( V cmax,25 ) respiration rate R 25 )) following increasingly well‐understood principles. While some land surface models (LSMs) now account thermal acclimation, they do so assigning empirical parameterizations individual plant functional types (PFTs). Here, we have implemented an Eco‐Evolutionary Optimality (EEO)‐based scheme represent universal acclimation photosynthesis multiple effects, that therefore requires no PFT‐specific parameterizations, in a standard version widely used LSM, Noah MP. We evaluated model performance with trait data from 5‐year experiment extensive field measurements, flux measurements FLUXNET2015. show observed vary substantially both temporally spatially within same PFT C.V. >20%). Our EEO‐based captures 62% temporal 70% spatial variations (73% 54% ). The underestimates gross primary production 10% versus 2% generates larger spread r (correlation coefficient) across sites (0.79 ± 0.16 vs. 0.84 0.1, mean S.D.). greatly overestimates canopy (bias: ∼200% 8% EEO scheme), resulting less CO 2 uptake terrestrial ecosystems. approach thus simulates climate‐carbon coupling more realistically, fewer parameters.

Language: Английский

Incorporating the Acclimation of Photosynthesis and Leaf Respiration in the Noah‐MP Land Surface Model: Model Development and Evaluation DOI Creative Commons

Yanghang Ren,

Han Wang, Sandy P. Harrison

et al.

Journal of Advances in Modeling Earth Systems, Journal Year: 2025, Volume and Issue: 17(3)

Published: March 1, 2025

Abstract Realistic simulation of leaf photosynthetic and respiratory processes is needed for accurate prediction the global carbon cycle. These two systematically acclimate to long‐term environmental changes by adjusting traits (e.g., maximum capacity at 25°C ( V cmax,25 ) respiration rate R 25 )) following increasingly well‐understood principles. While some land surface models (LSMs) now account thermal acclimation, they do so assigning empirical parameterizations individual plant functional types (PFTs). Here, we have implemented an Eco‐Evolutionary Optimality (EEO)‐based scheme represent universal acclimation photosynthesis multiple effects, that therefore requires no PFT‐specific parameterizations, in a standard version widely used LSM, Noah MP. We evaluated model performance with trait data from 5‐year experiment extensive field measurements, flux measurements FLUXNET2015. show observed vary substantially both temporally spatially within same PFT C.V. >20%). Our EEO‐based captures 62% temporal 70% spatial variations (73% 54% ). The underestimates gross primary production 10% versus 2% generates larger spread r (correlation coefficient) across sites (0.79 ± 0.16 vs. 0.84 0.1, mean S.D.). greatly overestimates canopy (bias: ∼200% 8% EEO scheme), resulting less CO 2 uptake terrestrial ecosystems. approach thus simulates climate‐carbon coupling more realistically, fewer parameters.

Language: Английский

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