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  1. Home
  3. Evaluating Monica's Capability To Simulate Water, Carbon And Nitrogen Fluxes In A Wet Grassland At Contrasting Water Tables
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  3. Evaluating Monica's Capability To Simulate Water, Carbon And Nitrogen Fluxes In A Wet Grassland At Contrasting Water Tables

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Evaluating MONICA's capability to simulate water, carbon and nitrogen fluxes in a wet grassland at contrasting water

Valeh Khaledi1, Roland Baatz2, Danica Antonijević2

  • 1Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Str. 84, 15374 Müncheberg, Germany; Institute of Biochemistry and Biology, University of Potsdam, Am Mühlenberg 3, 14476 Potsdam, Germany.

The Science of the Total Environment
|July 25, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

This study simulates wet grassland water, carbon (C), and nitrogen (N) dynamics using the MONICA model. The model accurately predicts vegetation growth, water, C, and N balances, supporting climate change impact assessments.

Keywords:
Carbon sinkMONICANitrogen lossSPOTPY algorithmWet grasslands

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Area of Science:

  • Environmental Science
  • Agroecosystem Modeling
  • Biogeochemistry

Background:

  • Wet grasslands are crucial for water and nutrient regulation, exhibiting complex water, carbon (C), and nitrogen (N) dynamics.
  • Existing research often studies these dynamics in isolation, lacking a comprehensive, simultaneous approach.
  • Shallow groundwater tables in wet grasslands create strong links between vegetation and soil water.

Purpose of the Study:

  • To comprehensively simulate the interconnected water, C, and N dynamics in wet grasslands.
  • To evaluate the performance of the MONICA model in representing these dynamics under varying groundwater levels.
  • To assess the model's suitability for future scenario analyses concerning climate change and groundwater management.

Main Methods:

  • Utilized a grassland lysimeter study with controlled, varied groundwater levels.
  • Employed the process-based MOdel for NItrogen and Carbon dynamics in Agroecosystems (MONICA).
  • Optimized model parameters using the Statistical Parameter Optimization Tool (SPOTPY).

    • Main Results:

    • MONICA accurately simulated key wet grassland processes, including aboveground biomass, evapotranspiration, gross primary productivity, ecosystem respiration, and nitrogen cycling.
    • Model performance was validated with Willmott's Index of Agreement consistently above 0.35.
    • The study confirmed the model's capability to represent water, C, and N balances.

    Conclusions:

    • The MONICA model demonstrates high accuracy for simulating wet grassland water, C, and N dynamics.
    • Validated MONICA is suitable for scenario simulations of groundwater management and climate change impacts.
    • The model can inform assessments of greenhouse gas emissions, carbon storage, and nutrient losses in these vital ecosystems.