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Soil Property Variation Drives Large Differences in Tropical Forest Secondary Succession
Published: April 13, 2019
Posted: October 22, 2019

Nutrient limitations and soil texture differences explained plant biomass variation during secondary succession in tropical forest inventories.

The Science
Scientists at the University of Notre Dame used a new mechanistic vegetation dynamics model based on the Ecosystem Demography (ED2) model, which has been augmented to account for nitrogen and phosphorus limitations of vegetation productivity, explicit soil microbial and enzyme processes, and plant-microbe competition for nutrients (Medvigy et al. 2019). The model realistically represented vegetation differences across tropical forests sites that have very large gradients in vegetation biomass and nutrient availability. The researchers used the model to explain observed variations in vegetation at spatial scales finer than those represented in current Earth system models, implying needed improvements to those models.

The Impact
Current land models applied for large-scale assessments of nutrient controls on vegetation processes have large uncertainties. This study used a mechanistic dynamic vegetation model to demonstrate that soil property variations can be mechanistically linked to plant biomass and composition. Representing geodiversity at sub-gridcell scales is therefore critical for large-scale dynamic vegetation models, such as the Department of Energy’s (DOE) Energy Exascale Earth System Model (E3SM) Land Model (ELM)-Functionally Assembled Terrestrial Ecosystem Simulator (FATES) model being developed for the E3SM.

Summary
Observations in tropical forests reveal large variation in biomass and plant composition. In this study, scientists from the University of Notre Dame evaluated whether such variation can emerge solely from realistic variation in a set of commonly measured soil chemical and physical properties. Controlled simulations were performed using a mechanistic model that includes forest dynamics, microbe-mediated biogeochemistry, and competition for nitrogen and phosphorus. Observations from 18 forest inventory plots in Guanacaste, Costa Rica, were used to determine realistic variation in soil properties. In simulations of secondary succession, the across-plot range in plant biomass reached 30% of the mean and was attributable primarily to nutrient limitation and secondarily to soil texture differences that affected water availability. The contributions of different plant functional types to total biomass varied widely across plots and depended on soil nutrient status. In simulations, large variation in plant biomass and ecosystem composition arose mechanistically from realistic variation in soil properties and climate. In general, model predictions can be improved through better representation of soil nutrient processes, including their spatial variation. These results inform ongoing development in DOE’s dynamic vegetation model integrated in E3SM (ELM-FATES).

Contacts
BER Program Managers
Daniel Stover
U.S. Department of Energy Office of Science, Office of Biological and Environmental Research
Climate and Environmental Sciences Division (SC-23.1)
Terrestrial Ecosystem Science
daniel.stover@science.doe.gov

Renu Joseph
U.S. Department of Energy Office of Science, Office of Biological and Environmental Research
Climate and Environmental Sciences Division (SC-23.1)
Earth and Environmental Systems Modeling
renu.joseph@science.doe.gov

Principal Investigator
David Medvigy
University of Notre Dame
dmedvigy@nd.edu

Funding
David Medvigy, Bonnie Waring, and Jennifer S. Powers were supported by the Terrestrial Ecosystem Science program of the Office of Biological and Environmental Research (BER), within the U.S. Department of Energy (DOE) Office of Science, Award DE-SC0014363. The field plots were maintained by National Science Foundation CAREER grant DEB-1053237 to JSP.

Funding for William J. Riley and Qing Zhu was provided by DOE BER under contract number DE-AC02-05CH11231 as part of the Regional and Global Model Analysis (RGMA) program in the Earth and Environmental Systems Modeling program’s RUBISCO Science Focus Area.

Gangsheng Wang was supported by the Energy Exascale Earth System Model (E3SM) project and the Climate Model Development and Validation (CMDV) project under contract DE-AC05-00OR22725 to Oak Ridge National Laboratory.

Publications
Medvigy, D., G. Wang, Q. Zhu, W. J. Riley, A. Trielweiler, B. Waring, X. Xu, and J. Powers. "Observed variation in soil properties can drive large variation in forest functioning and composition during tropical forest secondary succession." New Phytologist 223(4), 1820–33 (2019). [DOI:10.1111/nph.15848].

Topic Areas:

  • Research Area: Earth and Environment Systems Data Management
  • Research Area: Terrestrial Ecosystem Science
  • Research Area: Carbon Cycle, Nutrient Cycling
  • Research Area: Plant Systems and Feedstocks, Plant-Microbe Interactions

Division: SC-33.1 Earth and Environmental Sciences Division, BER

 

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