Environmental Effects on Carbon Isotope Discrimination from Assimilation to Respiration in a Coniferous and Broad-Leaved Mixed Forest of Northeast China

Spatio-Temporal Variations in Carbon Isotope Discrimination Predicted by the JULES Land Surface Model

Stable carbon isotopes in plants can help evaluate and improve the representation of carbon and water cycles in land-surface models, increasing confidence in projections of vegetation response to climate change. Here, we evaluated the predictive skills of the Joint UK Land Environmental Simulator (JULES) to capture spatio-temporal variations in carbon isotope discrimination (Δ¹³C) reconstructed by tree rings at 12 sites in the United Kingdom over the period 1979-2016. Modeled and measured Δ¹³C time series were compared at each site and their relationships with local climate investigated. Modeled Δ¹³C time series were significantly correlated (p < 0.05) with tree-ring Δ¹³C at eight sites, but JULES underestimated mean Δ¹³C values at all sites, by up to 2.6‰. Differences in mean Δ¹³C may result from post-photosynthetic isotopic fractionations that were not considered in JULES. Inter-annual variability in Δ¹³C was also underestimated by JULES at all sites. While modeled Δ¹³C typically increased over time across the UK, tree-ring Δ¹³C values increased only at five sites located in the northern regions but decreased at the southern-most sites. Considering all sites together, JULES captured the overall influence of environmental drivers on Δ¹³C but failed to capture the direction of change in Δ¹³C caused by air temperature, atmospheric CO₂ and vapor pressure deficit at some sites. Results indicate that the representation of carbon-water coupling in JULES could be improved to reproduce both the trend and magnitude of interannual variability in isotopic records, the influence of local climate on Δ¹³C, and to reduce uncertainties in predicting vegetation-environment interactions.

Autotrophic respiration modulates the carbon isotope composition of soil respiration in a mixed forest

Carbon isotopic composition of soil respired CO₂ (soil δ¹³C_R) has been regarded as a good indicator of the linkages between aboveground processes and soil respiration. However, whether δ¹³C_R of autotrophic or heterotrophic component of soil respiration dominates the temporal variability of total soil δ¹³C_R was rarely examined by previous studies. In this study, carbon isotopic composition of atmospheric CO₂ (δ¹³C_air) and soil δ¹³C_R in control (with roots) and trenched (without roots) plots were measured in a temperated mixed forest. A ¹³C isotopic profile system and an automated soil respiration system were used for δ ¹³C_air and soil δ¹³C_R measurements, respectively. We found that soil δ¹³C_R in the control plots changed substantially in the growing season and it was more negative (by ~0.6‰) than that in the trenched plots, while soil δ¹³C_R in the trenched plots showed a minor temporal variability. This suggests that δ¹³C_R from the autotrophic respiration is the key decider of the seasonal variation pattern of the soil δ¹³C_R. Moreover, the seasonal variation of soil δ¹³C_R in the control plots showed a similar pattern with the seasonal variation of δ¹³C_air. A significant time-lag was found between δ¹³C_air and soil δ¹³C_R, showing that soil δ¹³C_R generally lagged behind δ¹³C_air 15 days. This result supports the hypothesis that soil respiration is closely related to carbon assimilation at the leaf-level and also stressed the importance of δ¹³C_air in shaping soil δ¹³C_R. These findings are highly valuable to develop the process-based models of the carbon cycle of forest ecosystems.