Investigating old‐growth ponderosa pine physiology using tree‐rings, δ13C, δ18O, and a process‐based model. Issue 6 (15th April 2019)

• Record Type: Journal Article
• Authors: Ulrich, Danielle E. M.; Still, Christopher; Brooks, J. Renée; Kim, Youngil; Meinzer, Frederick C.
• Is Part Of: Ecology. Volume 100:Issue 6(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-04-15
• Subjects: carbon isotope ratios -- effective path length -- oxygen isotope ratios -- Physiological Principles in Predicting Growth -- process‐based modeling -- tree rings; Ecology -- Periodicals; Ecology -- Periodicals; Écologie -- Périodiques; Ecologie; Écologie; Écologie animale; Écologie végétale; Ecology; Periodicals; 577.05
• DOI: 10.1002/ecy.2656
• Languages: English
• ISSNs: 0012-9658

Abstract

Abstract: 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 (δ 13 Ccell, δ 18 Ocell ) reveal long‐term, integrated physiological responses to environmental conditions. We incorporated a submodel of δ 18 Ocell into the widely used Physiological Principles in Predicting Growth (3‐PG) model for the first time, to complement a recently added δ 13 Ccell submodel. We parameterized the model using previously reported stand characteristics and long‐term trajectories of tree‐ring growth, δ 13 Ccell, and δ 18 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 δ 13 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 δ 13 Ccell of riparian trees. Unexpectedly, both observed and simulated δ 18 Ocell trajectories did not differ between the upland and riparian trees, likely due to similar δ 18 O of source water isotope composition. The δ 18 Ocell submodel with a Peclet effect improved model estimates of δ 18 Ocell because its calculation utilizes 3‐PG growth and allocation processes. Because simulated stand‐level transpiration ( E ) is used in the δ 18 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.