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

ABSTRACT: 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

SUBMITTER: Palmer L 

PROVIDER: S-EPMC10078459 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature