Citation

BibTex format

@unpublished{Mengoli:2021:10.1101/2021.05.07.442894,
author = {Mengoli, G and Agustí-Panareda, A and Boussetta, S and Harrison, SP and Trotta, C and Prentice, IC},
doi = {10.1101/2021.05.07.442894},
publisher = {Cold Spring Harbor Laboratory},
title = {Ecosystem photosynthesis in land-surface models: a first-principles approach},
url = {http://dx.doi.org/10.1101/2021.05.07.442894},
year = {2021}
}

RIS format (EndNote, RefMan)

TY  - UNPB
AB - Vegetation regulates land-atmosphere water and energy exchanges and is an essential component of land-surface models (LSMs). However, LSMs have been handicapped by assumptions that equate acclimated photosynthetic responses to environment with fast responses observable in the laboratory. These time scales can be distinguished by including specific representations of acclimation, but at the cost of further increasing parameter requirements. Here we develop an alternative approach based on optimality principles that predict the acclimation of carboxylation and electron-transport capacities, and a variable controlling the response of leaf-level carbon dioxide drawdown to vapour pressure deficit (VPD), to variations in growth conditions on a weekly to monthly time scale. In the “P model”, an optimality-based light-use efficiency model for gross primary production (GPP) on this time scale, these acclimated responses are implicit. Here they are made explicit, allowing fast and slow response time-scales to be separated and GPP to be simulated at sub-daily timesteps. The resulting model mimics diurnal cycles of GPP recorded by eddy-covariance flux towers in a temperate grassland and boreal, temperate and tropical forests, with no parameter changes between biomes. Best performance is achieved when biochemical capacities are adjusted to match recent midday conditions. This model suggests a simple and parameter-sparse method to include both instantaneous and acclimated responses within an LSM framework, with many potential applications in weather, climate and carbon - cycle modelling.
AU - Mengoli,G
AU - Agustí-Panareda,A
AU - Boussetta,S
AU - Harrison,SP
AU - Trotta,C
AU - Prentice,IC
DO - 10.1101/2021.05.07.442894
PB - Cold Spring Harbor Laboratory
PY - 2021///
TI - Ecosystem photosynthesis in land-surface models: a first-principles approach
UR - http://dx.doi.org/10.1101/2021.05.07.442894
UR - https://www.biorxiv.org/content/10.1101/2021.05.07.442894v1
UR - http://hdl.handle.net/10044/1/91524
ER -