Plant hydraulic-enabled ecosystem model simulates variations in tropical dry forest phenology and tree growth.
Ecosystem models have struggled to accurately represent the effects of plant water stress. A team at the University of Notre Dame has developed and tested a novel model to describe how plant hydraulic traits constrain vegetation dynamics on multiple time scales.
The team presents a demographic ecosystem model that mechanistically represents plant water stress based on hydraulic traits. They show that this type of model can explain why different plant functional types exhibit different leaf-area phenology and growth rates.
A team of researchers have updated the Ecosystem Demography model 2 (ED2) with a trait-driven mechanistic plant hydraulic module that can track water flows within trees. The model is also coupled with novel stomatal and drought phenology schemes. Four plant functional types with strategies ranging from conservative slow-growing to acquisitive fast-growing were parameterized on the basis of meta-analysis of plant hydraulic traits. Simulations from both the original and the updated ED2 were evaluated against 5 years of field data from a Costa Rican seasonally dry tropical forest site and remote-sensing data over Central America. Compared with the original ED2, predictions from their novel trait-driven model matched better with observed growth, phenology and their variations among functional groups. Notably, the original ED2 produced unrealistically small leaf area index (LAI) and underestimated cumulative leaf litter. Both of these biases were corrected by the updated model. The updated model was also better able to simulate spatial patterns of LAI dynamics in Central America. These results demonstrate that mechanistic incorporation of plant hydraulic traits is necessary for the simulation of spatio-temporal patterns of vegetation dynamics in seasonally dry tropical forests in vegetation models.
Contacts (BER PM)
Associate Professor, University of Notre Dame, Notre Dame, IN 46556
US Department of Energy, Office of Science, Office of Biological and Environmental Research, Terrestrial Ecosystem Science (TES) Program under award number DE-SC0014363. National Science Foundation CAREER Award DEB-1053237. NASA Carbon Cycle Science Program Award NNX11AD45G. Princeton Environmental Institute and the Andlinger Center for Energy and the Environment at Princeton University
Xu, X., D. Medvigy, J.S. Powers, J.M. Becknell, K. Guan. “Diversity in plant hydraulic traits explains seasonal and inter-annual variations of vegetation dynamics in seasonally dry tropical forests.” New Phytol. 212, 80-95 (2016). [DOI: 10.1111/nph.14009]
SC-23.1 Climate and Environmental Sciences Division, BER
BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER
Aug 24, 2019
New Approach for Studying How Microbes Influence Their Environment
A diverse group of scientists suggests a common framework and targeting of known microbial processes [more...]
Aug 08, 2019
Nutrient-Hungry Peatland Microbes Reduce Carbon Loss Under Warmer Conditions
Enzyme production in peatlands reduces carbon lost to respiration under future high temperatures. [more...]
Aug 05, 2019
Amazon Forest Response to CO2 Fertilization Dependent on Plant Phosphorus Acquisition
AmazonFACE Model Intercomparison. The Science Plant growth is dependent on the availabi [more...]
Jul 29, 2019
A Slippery Slope: Soil Carbon Destabilization
Carbon gain or loss depends on the balance between competing biological, chemical, and physical reac [more...]
Jul 15, 2019
Field Evaluation of Gas Analyzers for Measuring Ecosystem Fluxes
How gas analyzer type and correction method impact measured fluxes. The Science A side- [more...]
List all highlights (possible long download time)