Temporal decoupling between photosynthetic carbon assimilation and wood formation across species and stand levels in a mixed broadleaf–Korean pine forest: implications for source-sink dynamics

Description

This dataset provides daily relative photosynthetic rate and radial growth rate during the growing seasons of 2020–2024 for 12 dominant tree species in a mixed broadleaf–Korean pine forest in Northeast China: Pinus koraiensis, Tilia amurensis, Quercus mongolica, Fraxinus mandshurica, Acer mono, Ulmus japonica, Tilia mandshurica, Acer triflorum, Betula platyphylla, Acer mandshuricum, Phellodendron amurense, and Juglans mandshurica. The dataset was generated to investigate temporal lags between photosynthetic carbon assimilation and wood formation across species and years.

Steps to reproduce

We obtained the dataset through a combination of field observations, laboratory analyses, and model simulations. Radial growth was monitored in the field during the growing seasons from 2020 to 2024 for 12 dominant tree species in a mixed broadleaf–Korean pine forest in Northeast China. Wood formation dynamics were tracked using high-frequency observations of stem radial growth. Meteorological and soil environmental variables were measured concurrently to characterize light, temperature, and water conditions. Laboratory analyses were conducted to process and standardize the observational data and species trait information. These analyses were used to ensure data quality and comparability across species and years, and to support subsequent evaluation of species-level differences in lag duration. Daily photosynthetic production was estimated using species-specific light–temperature coupled models. Modeled photosynthetic rates were then compared with observed radial growth rates to quantify the time lag between carbon assimilation and wood formation at both species and stand levels. Statistical analyses, including linear mixed-effects models, were used to identify the main environmental drivers of lag duration, and trait-based analyses were applied to test whether species functional characteristics explained interspecific differences. This workflow provides an integrated framework that can be reproduced by combining continuous field monitoring, laboratory-based data processing, and model-based simulation of daily photosynthetic activity.

Institutions

• Anhui Agricultural University

  Anhui, Hefei

Categories

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