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Challenges of Including Wet Grasslands with Variable Groundwater Tables in Large-Area Crop Production Simulations

Author

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  • Valeh Khaledi

    (Leibniz 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)

  • Bahareh Kamali

    (Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Str. 84, 15374 Müncheberg, Germany
    Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Katzenburgweg 5, 53115 Bonn, Germany)

  • Gunnar Lischeid

    (Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Str. 84, 15374 Müncheberg, Germany
    Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Str. 24–25, 14476 Potsdam, Germany)

  • Ottfried Dietrich

    (Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Str. 84, 15374 Müncheberg, Germany)

  • Mariel F. Davies

    (Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Str. 84, 15374 Müncheberg, Germany)

  • Claas Nendel

    (Leibniz 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)

Abstract

Large-scale assessments of agricultural productivity necessitate integrated simulations of cropland and grassland ecosystems within their spatiotemporal context. However, simultaneous simulations face limitations due to assumptions of uniform species distribution. Grasslands, particularly those with shallow groundwater tables, are highly sensitive to water availability, undergoing rapid species composition changes. We hypothesised that predicting above-ground biomass (AGB) remains challenging due to these dynamic responses. Ten years of data from four lysimeters at a German wet grassland site, with varying water table treatments, was utilised to test this hypothesis. Correlation analysis revealed a strong positive indirect effect of the water regime on AGB, with a one-year time lag (r = 0.97). The MONICA model initially exhibited fair agreement (d = 0.69) in simulating Leaf-Area-Index (LAI) but performed poorly in replicating AGB (d = 0.3). After removing the species composition change effect from the LAI and AGB datasets, the simulation notably improved, with the overall relative root mean square error (rRMSE) of AGB decreasing from 1.55 to 0.90 between the first and second simulations. This demonstrates MONICA’s ability to predict grass growth patterns amidst changing water supply levels for constant species composition. However, it needs a competition model to capture biomass growth changes with varying water supply.

Suggested Citation

  • Valeh Khaledi & Bahareh Kamali & Gunnar Lischeid & Ottfried Dietrich & Mariel F. Davies & Claas Nendel, 2024. "Challenges of Including Wet Grasslands with Variable Groundwater Tables in Large-Area Crop Production Simulations," Agriculture, MDPI, vol. 14(5), pages 1-17, April.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:5:p:679-:d:1383795
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    References listed on IDEAS

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    1. Norman Myers & Russell A. Mittermeier & Cristina G. Mittermeier & Gustavo A. B. da Fonseca & Jennifer Kent, 2000. "Biodiversity hotspots for conservation priorities," Nature, Nature, vol. 403(6772), pages 853-858, February.
    2. Taubert, Franziska & Frank, Karin & Huth, Andreas, 2012. "A review of grassland models in the biofuel context," Ecological Modelling, Elsevier, vol. 245(C), pages 84-93.
    3. Dietrich, Ottfried & Fahle, Marcus & Seyfarth, Manfred, 2016. "Behavior of water balance components at sites with shallow groundwater tables: Possibilities and limitations of their simulation using different ways to control weighable groundwater lysimeters," Agricultural Water Management, Elsevier, vol. 163(C), pages 75-89.
    4. Gillet, François, 2008. "Modelling vegetation dynamics in heterogeneous pasture-woodland landscapes," Ecological Modelling, Elsevier, vol. 217(1), pages 1-18.
    5. Hetzer, Jessica & Huth, Andreas & Taubert, Franziska, 2021. "The importance of plant trait variability in grasslands: a modelling study," Ecological Modelling, Elsevier, vol. 453(C).
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