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Title: CERES: a model of forest stand biomass dynamics for predicting trace contaminant, nutrient, and water effects

Technical Report ·
OSTI ID:7245702

CERES is a forest stand growth model which incorporates sugar transport in order to predict both short-term effects and long-term accumulation of trace contaminants and/or nutrients when coupled with the soil chemistry model (SCHEM), and models of solute uptake (DIFMAS and DRYADS) of the Unified Transport Model, UTM. An important feature of CERES is its ability to interface with the soil-plant-atmosphere water model (PROSPER) as a means of both predicting and studying the effects of plant water status on growth and solute transport. CERES considers the biomass dynamics of plants, standing dead and litter with plants divided into leaves, stems, roots, and fruits. The plant parts are divided further into sugar substrate, storage, and in the case of stems and roots, heartwood components. Several applications of the model are described. Simulation results for ten days in May illustrate the hourly patterns of photosynthesis, leaf sugar levels and translocation. The second application of CERES is a one-year simulation, showing seasonal dynamics of biomass fluxes in plants and litter. Results from a six-year simulation with the complete set of coupled models illustrate toxic metal effects on litter decomposition and slight reduction of root growth with the parameters chosen. Heavy metal pollutants from a lead mine and smelter complex were introduced to the ecosystem as wetfall and dryfall. The DRYADS and DIFMAS models calculated the heavy metal uptake by the vegetation and accumulation in litter. During the six-year period, the steady annual input of plant litter and the reduced decomposition rate resulted in an increase in litter mass of nearly 50 percent. Input data were chosen to represent the oak forest characteristics of the Crooked Creek watershed in southeastern Missouri.

Research Organization:
Oak Ridge National Lab., Tenn. (USA)
DOE Contract Number:
W-7405-ENG-26; NSF-AEN-72-01243A03
OSTI ID:
7245702
Report Number(s):
ORNL/NSF/EATC-25
Country of Publication:
United States
Language:
English