Implications of seasonal changes in photosynthetic traits and leaf area index for canopy CO2 and H2O fluxes in a Japanese cedar (Cryptomeria japonica D. Don) plantation

•Japanese cedar canopy CO2 and H2O fluxes were modeled using leaf physiology data.•Model analysis using leaf physiology data explained the leaf physiology seasonality.•Cold acclimation during the winter substantially influenced flux modeling.•Lower photosynthetic ability during winter is required to...

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Veröffentlicht in:Ecological modelling 2023-03, Vol.477, p.110271, Article 110271
Hauptverfasser: Hata, Yoshiaki, Kumagai, Tomo'omi, Shimizu, Takanori, Miyazawa, Yoshiyuki
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Sprache:eng
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Zusammenfassung:•Japanese cedar canopy CO2 and H2O fluxes were modeled using leaf physiology data.•Model analysis using leaf physiology data explained the leaf physiology seasonality.•Cold acclimation during the winter substantially influenced flux modeling.•Lower photosynthetic ability during winter is required to maintain the ecosystem. Recently, requests for forest management to conserve water resources and sequester carbon have increased in Japan, where approximately 27% and 12% of the total land area are covered by forest plantations and Japanese cedar (Cryptomeria japonica D. Don). To formulate better forest management practices that maximize forest functions by maintaining water and carbon cycles, an understanding of how leaf-level ecophysiological traits influence canopy-level CO2 and H2O exchanges in Japanese cedar plantations is required. In this study, observations of eddy covariance flux and leaf ecophysiology in a Japanese cedar plantation in southern Japan indicate that significantly greater productivity and seasonal variations tend to occur in canopy CO2 and H2O fluxes, with seasonal patterns of photosynthetic traits (maximum carboxylation rate normalized at 25 °C, Vcmax,25) and leaf area index (LAI). We also examined how biotic (e.g., Vcmax,25 and LAI) and abiotic (e.g., meteorological variables) factors govern canopy fluxes using a multi-layer soil–vegetation–atmosphere transfer (SVAT) model. The model validation suggests that seasonal variations in Vcmax,25 and LAI must be included to reproduce the fluxes observed in the plantation. Quantitative experiments using the validated SVAT model indicate that considering cold acclimation during the winter improved the reproducibility of the model with regard to the measured fluxes, constant high intra-annual LAI had the least impact on forest productivity, and a consistently high Vcmax,25 value increased forest productivity but considerably decreased the nitrogen use efficiency and required a larger nitrogen supply from the ecosystem during the winter. These findings highlight the necessity of decreasing photosynthetic ability during the winter, which safeguards the ecosystem's nitrogen resources to sustain the productivity of the Japanese cedar plantation throughout the year. [Display omitted]
ISSN:0304-3800
1872-7026
DOI:10.1016/j.ecolmodel.2022.110271