B127-05
THE IMPORTANCE OF HYDRAULIC TRAITS TO TROPICAL FOREST DYNAMICS
THE IMPORTANCE OF HYDRAULIC TRAITS TO TROPICAL FOREST DYNAMICS
Thursday, 17 December 2020: 04:16
Virtual
Abstract:
Vegetation plays a key role in global carbon cycles and thus is an important component within Earth system models (ESMs) that project future climates. A recent trend for ESM vegetation modeling is to incorporate size- and succession-stage-structured demographic models. These models make it feasible for more realistic representation of key processes that control vegetation dynamics. In this study, we reported a new hydrodynamics (HYDRO) model within the functionally assembled terrestrial ecosystem simulator (FATES-HYDRO). The HYDRO model is built on the size and canopy structured representation within FATES and is expected to better capture the control of hydraulic traits in both vegetation dynamics and carbon/water fluxes. In this study, we conducted a global sensitivity analysis to better understand the hydraulic trait control on tropical forest dynamics at Barro Colorado Island, Panama. We assembled statistical distributions of plant hydraulic traits of stomata, leaves, stems, and roots, determined the best-fit theoretical distribution for each trait, and linked these based on taxonomically-standardized species names to generate a rank correlation matrix, which quantified the degree of interspecific (between-species) trait-trait coordination. Our analysis showed that hydraulic traits that determine the soil-root connection and stomatal control are more important for carbon and water fluxes during dry periods, while hydraulic traits that determine the whole tree conductance are more importance for wet periods. Our analysis suggests that hydraulic traits could play an important role in carbon and water fluxes and vegetation dynamics in tropical forests, but that the relative importance of different hydraulic traits shifts seasonally. Therefore, further measurements to capture the hydraulic control on stomata, root-soil interface and whole tree resistance could improve our prediction of future tropical forests within ESMs.