IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i5p679-d1383795.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/5/679/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/14/5/679/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Gillet, François, 2008. "Modelling vegetation dynamics in heterogeneous pasture-woodland landscapes," Ecological Modelling, Elsevier, vol. 217(1), pages 1-18.
    4. Hetzer, Jessica & Huth, Andreas & Taubert, Franziska, 2021. "The importance of plant trait variability in grasslands: a modelling study," Ecological Modelling, Elsevier, vol. 453(C).
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Moulin, Thibault & Perasso, Antoine & Calanca, Pierluigi & Gillet, François, 2021. "DynaGraM: A process-based model to simulate multi-species plant community dynamics in managed grasslands," Ecological Modelling, Elsevier, vol. 439(C).
    2. Moulin, Thibault & Perasso, Antoine & Gillet, François, 2018. "Modelling vegetation dynamics in managed grasslands: Responses to drivers depend on species richness," Ecological Modelling, Elsevier, vol. 374(C), pages 22-36.
    3. Henniger, Hans & Huth, Andreas & Frank, Karin & Bohn, Friedrich J., 2023. "Creating virtual forests around the globe and analysing their state space," Ecological Modelling, Elsevier, vol. 483(C).
    4. Fischer, Rico & Bohn, Friedrich & Dantas de Paula, Mateus & Dislich, Claudia & Groeneveld, Jürgen & Gutiérrez, Alvaro G. & Kazmierczak, Martin & Knapp, Nikolai & Lehmann, Sebastian & Paulick, Sebastia, 2016. "Lessons learned from applying a forest gap model to understand ecosystem and carbon dynamics of complex tropical forests," Ecological Modelling, Elsevier, vol. 326(C), pages 124-133.
    5. Wirth, Stephen Björn & Taubert, Franziska & Tietjen, Britta & Müller, Christoph & Rolinski, Susanne, 2021. "Do details matter? Disentangling the processes related to plant species interactions in two grassland models of different complexity," Ecological Modelling, Elsevier, vol. 460(C).
    6. Laxmi D. Bhatta & Sunita Chaudhary & Anju Pandit & Himlal Baral & Partha J. Das & Nigel E. Stork, 2016. "Ecosystem Service Changes and Livelihood Impacts in the Maguri-Motapung Wetlands of Assam, India," Land, MDPI, vol. 5(2), pages 1-14, June.
    7. McLennan, D. & Sharma, R., 2012. "The Delivering Ecological Services Index (DESI)," Working papers 119, Rimisp Latin American Center for Rural Development.
    8. Caviedes, Julián & Ibarra, José Tomás & Calvet-Mir, Laura & Álvarez-Fernández, Santiago & Junqueira, André Braga, 2024. "Indigenous and local knowledge on social-ecological changes is positively associated with livelihood resilience in a Globally Important Agricultural Heritage System," Agricultural Systems, Elsevier, vol. 216(C).
    9. Maeda, Eduardo Eiji & Clark, Barnaby J.F. & Pellikka, Petri & Siljander, Mika, 2010. "Modelling agricultural expansion in Kenya's Eastern Arc Mountains biodiversity hotspot," Agricultural Systems, Elsevier, vol. 103(9), pages 609-620, November.
    10. Jaiswal, Sreeja & Balietti, Anca & Schäffer, Daniel, 2023. "Environmental Protection and Labor Market Composition," Working Papers 0736, University of Heidelberg, Department of Economics.
    11. Chomitz, Kenneth M. & Thomas, Timothy S. & Brandão, Antônio Salazar P., 2005. "The economic and environmental impact of trade in forest reserve obligations: a simulation analysis of options for dealing with habitat heterogeneity," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 43(4), January.
    12. Elisa Barbour & Lara Kueppers, 2012. "Conservation and management of ecological systems in a changing California," Climatic Change, Springer, vol. 111(1), pages 135-163, March.
    13. Tyler M Harms & Kevin T Murphy & Xiaodan Lyu & Shane S Patterson & Karen E Kinkead & Stephen J Dinsmore & Paul W Frese, 2017. "Using landscape habitat associations to prioritize areas of conservation action for terrestrial birds," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-21, March.
    14. van der Hoff, Richard & Nascimento, Nathália & Fabrício-Neto, Ailton & Jaramillo-Giraldo, Carolina & Ambrosio, Geanderson & Arieira, Julia & Afonso Nobre, Carlos & Rajão, Raoni, 2022. "Policy-oriented ecosystem services research on tropical forests in South America: A systematic literature review," Ecosystem Services, Elsevier, vol. 56(C).
    15. Brannstrom, Christian, 2001. "Conservation-with-Development Models in Brazil's Agro-Pastoral Landscapes," World Development, Elsevier, vol. 29(8), pages 1345-1359, August.
    16. Brendan Fisher & Stephen Polasky & Thomas Sterner, 2011. "Conservation and Human Welfare: Economic Analysis of Ecosystem Services," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(2), pages 151-159, February.
    17. Pütz, S. & Groeneveld, J. & Alves, L.F. & Metzger, J.P. & Huth, A., 2011. "Fragmentation drives tropical forest fragments to early successional states: A modelling study for Brazilian Atlantic forests," Ecological Modelling, Elsevier, vol. 222(12), pages 1986-1997.
    18. Paige, Sarah B. & Malavé, Carly & Mbabazi, Edith & Mayer, Jonathan & Goldberg, Tony L., 2015. "Uncovering zoonoses awareness in an emerging disease ‘hotspot’," Social Science & Medicine, Elsevier, vol. 129(C), pages 78-86.
    19. Stephanie D. Maier & Jan Paul Lindner & Javier Francisco, 2019. "Conceptual Framework for Biodiversity Assessments in Global Value Chains," Sustainability, MDPI, vol. 11(7), pages 1-34, March.
    20. Sehgal, Shaina & Babu, Suresh, 2021. "Economic Transformation of the Nicobar Islands Post-tsunami: A Material Import–Export Analysis," Ecology, Economy and Society - the INSEE Journal, Indian Society of Ecological Economics (INSEE), vol. 4(02), July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:14:y:2024:i:5:p:679-:d:1383795. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.