Investigating old-growth ponderosa pine physiology using tree-rings, δ13 C, δ18 O, and a process-based model.

In dealing with predicted changes in environmental conditions outside those experienced today, forest managers and researchers rely on process-based models to inform physiological processes and predict future forest growth responses. The carbon and oxygen isotope ratios of tree-ring cellulose (δ13 Ccell , δ18 Ocell ) reveal long-term, integrated physiological responses to environmental conditions. We incorporated a submodel of δ18 Ocell into the widely used Physiological Principles in Predicting Growth (3-PG) model for the first time, to complement a recently added δ13 Ccell submodel. We parameterized the model using previously reported stand characteristics and long-term trajectories of tree-ring growth, δ13 Ccell , and δ18 Ocell collected from the Metolius AmeriFlux site in central Oregon (upland trees). We then applied the parameterized model to a nearby set of riparian trees to investigate the physiological drivers of differences in observed basal area increment (BAI) and δ13 Ccell trajectories between upland and riparian trees. The model showed that greater available soil water and maximum canopy conductance likely explain the greater observed BAI and lower δ13 Ccell of riparian trees. Unexpectedly, both observed and simulated δ18 Ocell trajectories did not differ between the upland and riparian trees, likely due to similar δ18 O of source water isotope composition. The δ18 Ocell submodel with a Peclet effect improved model estimates of δ18 Ocell because its calculation utilizes 3-PG growth and allocation processes. Because simulated stand-level transpiration (E) is used in the δ18 O submodel, aspects of leaf-level anatomy such as the effective path length for transport of water from the xylem to the sites of evaporation could be estimated.

Pubmed ID: 30756385