Preprints
https://doi.org/10.5194/egusphere-2022-835
https://doi.org/10.5194/egusphere-2022-835
 
05 Oct 2022
05 Oct 2022
Status: this preprint is open for discussion.

Modeling of non-structural carbohydrate dynamics by the spatially explicitly individual-based dynamic global vegetation model SEIB-DGVM (SEIB-DGVM-NSC ver1.0)

Hideki Ninomiya1, Tomomichi Kato2, Lea Végh2, and Lan Wu3 Hideki Ninomiya et al.
  • 1Graduate School of Global Food Resources, Hokkaido University, Sapporo, Hokkaido 060-0809, Hokkaido, Japan
  • 2Research Faculty of Agriculture, Hokkaido University, Sapporo, Hokkaido 060-8589, Japan
  • 3College of Ecology and Environment, Hainan University, Hainan, China

Abstract. Forest dynamics need to be considered when estimating the global carbon budget. The alteration of forest structure and function under a changing climate and expanding human activity could lead to a reduction of forest canopy cover and a spread of lower-biomass ecosystems in warm and dry regions. Non-structural carbohydrate (NSC) acts as a storage buffer between carbon supplied by assimilation and carbon consumed by, inter alia, respiration, reproduction, and pests. Estimation of NSC concentrations in a tree is very important for accurate projection of future forest dynamics. We developed a new NSC module for incorporation into a spatially explicit, individual-based, dynamic global vegetation model (SEIB-DGVM) to validate the simulated NSC dynamics with observations. NSC pools were simulated in three plant organs: leaves, trunk, and roots. The seasonal dynamics of the NSCs varied among plant species, and the sizes of the NSC pools inferred from observations differed between the boreal, temperate, and tropical climates. The NSC models were therefore validated for each of the three climatic regions at both point and global scales to assess the performance of the models. The modeled NSCs showed good agreement in seasonality with the observed NSCs at four sites – Canada (boreal), Austria and Switzerland (temperate), and Panama (tropical) – and in mean values for three climate zones derived from the global NSC dataset. The SEIB-DGVM-NSCv1.0 is expected to enable simulation of biome shifts caused by the changes of NSC dynamics worldwide. These dynamics will contribute to changes of not only the global carbon cycle but also of forest structure and demography at a global scale.

Hideki Ninomiya et al.

Status: open (until 16 Dec 2022)

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  • RC1: 'Comment on egusphere-2022-835', Anonymous Referee #1, 02 Nov 2022 reply

Hideki Ninomiya et al.

Model code and software

Modeling of non-structural carbohydrate dynamics by the spatially explicitly individual-based dynamic global vegetation model SEIB-DGVM (SEIB-DGVM-NSC ver1.0) Hideki Ninomiya; Tomomichi Kato; Lea Végh; Lan Wu https://doi.org/10.5281/zenodo.7021459

Hideki Ninomiya et al.

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Short summary
Non-structural carbohydrates (NSCs) are important carbon storage in plants against the climate change. We added a new NSC module into an individual-based ecosystem model: SEIB-DGVM. The amounts of simulated NSCs and the general seasonality agree well with observed NSCs on a point scale and global scale. The model has a high potential to simulate the biotic effects resulting from insufficient NSC that are otherwise difficult to measure in terrestrial ecosystems globally.