IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v401y2019icp111-128.html
   My bibliography  Save this article

Development of generic crop models for simulation of multi-species plant communities in mown grasslands

Author

Listed:
  • Movedi, Ermes
  • Bellocchi, Gianni
  • Argenti, Giovanni
  • Paleari, Livia
  • Vesely, Fosco
  • Staglianò, Nicolina
  • Dibari, Camilla
  • Confalonieri, Roberto

Abstract

Plant diversity supports the high aptitude of grassland covers to provide fodder production for animal feeding and contribute to the storage of carbon, while also granting pollination and aesthetics of landscapes. This ability depends on the management intensity of the grassland system, physical constraints and climatic characteristics. Most of current grassland models simulating the impact of weather conditions, soil fertility and the intensity of use of grassland systems (by grazing and/or mowing) on fodder production and carbon-nitrogen fluxes inherit eco-physiological and biophysical details from crop models without considering explicitly temporal changes in taxonomic and functional composition. The dynamic grassland model CoSMo (COmmunity Simulation MOdel) includes a set of rules to simulate explicitly seasonal changes in species composition of managed grasslands under various soil, climate and management drivers, and it is consistent with the degree of complexity of the most generic crop simulators. The incorporation of CoSMo functionalities into the standalone crop simulators CropSyst and WOFOST is proposed as a way to: (i) reduce the uncertainty in estimations of harvested aboveground biomass (AGB) and (ii) simulate dynamically the relative abundance of species (for respectively the whole community and individual species). Considering three mixtures of grassland species (with increasing complexity from Mix 1 to Mix 3) in a mown hay meadow in central Italy (Massa Marittima, 43° 03′ N, 10° 53′ E, 380 m a.s.l.), we show that CoSMo overall improved the model ability to reproduce observed AGB in Mix 1 and 2 (e.g. with CropSyst in Mix 2 relative root mean square error [RRMSE] lowered from 35.01 to 25.27%) while the model performance for Mix 3 appeared as not unambiguously linked to considering plant diversity. An assessment of the relative abundance estimates for the whole community indicates 30%

Suggested Citation

  • Movedi, Ermes & Bellocchi, Gianni & Argenti, Giovanni & Paleari, Livia & Vesely, Fosco & Staglianò, Nicolina & Dibari, Camilla & Confalonieri, Roberto, 2019. "Development of generic crop models for simulation of multi-species plant communities in mown grasslands," Ecological Modelling, Elsevier, vol. 401(C), pages 111-128.
    • Handle: RePEc:eee:ecomod:v:401:y:2019:i:c:p:111-128
    DOI: 10.1016/j.ecolmodel.2019.03.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380019300894
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2019.03.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Confalonieri, R., 2014. "CoSMo: A simple approach for reproducing plant community dynamics using a single instance of generic crop simulators," Ecological Modelling, Elsevier, vol. 286(C), pages 1-10.
    2. Vincent Maire & Nicolas Gross & David Hill & Raphaël Martin & Christian Wirth & Ian J Wright & Jean-François Soussana, 2013. "Disentangling Coordination among Functional Traits Using an Individual-Centred Model: Impact on Plant Performance at Intra- and Inter-Specific Levels," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-1, October.
    3. S. W. Chung & Philip W. Gassman & L. A. Kramer & Jimmy R. Williams & Roy Gu, 1999. "Validation of EPIC for Two Watersheds in Southwest Iowa," Center for Agricultural and Rural Development (CARD) Publications 99-wp215, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    4. Soussana, Jean-François & Maire, Vincent & Gross, Nicolas & Bachelet, Bruno & Pagès, Loic & Martin, Raphaël & Hill, David & Wirth, Christian, 2012. "Gemini: A grassland model simulating the role of plant traits for community dynamics and ecosystem functioning. Parameterization and evaluation," Ecological Modelling, Elsevier, vol. 231(C), pages 134-145.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Palosuo, Taru & Hoffmann, Munir P. & Rötter, Reimund P. & Lehtonen, Heikki S., 2021. "Sustainable intensification of crop production under alternative future changes in climate and technology: The case of the North Savo region," Agricultural Systems, Elsevier, vol. 190(C).
    2. Movedi, Ermes & Valiante, Daniele & Colosio, Alessandro & Corengia, Luca & Cossa, Stefano & Confalonieri, Roberto, 2022. "A new approach for modeling crop-weed interaction targeting management support in operational contexts: A case study on the rice weeds barnyardgrass and red rice," Ecological Modelling, Elsevier, vol. 463(C).
    3. 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).
    4. Movedi, Ermes & Paleari, Livia & Argenti, Giovanni & Vesely, Fosco M. & Staglianò, Nicolina & Parrini, Silvia & Confalonieri, Roberto, 2024. "The application of a plant community model to evaluate adaptation strategies for alleviating climate change impacts on grassland productivity, biodiversity and forage quality," Ecological Modelling, Elsevier, vol. 488(C).
    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).

    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. Movedi, Ermes & Valiante, Daniele & Colosio, Alessandro & Corengia, Luca & Cossa, Stefano & Confalonieri, Roberto, 2022. "A new approach for modeling crop-weed interaction targeting management support in operational contexts: A case study on the rice weeds barnyardgrass and red rice," Ecological Modelling, Elsevier, vol. 463(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. Kipling, Richard P. & Bannink, André & Bellocchi, Gianni & Dalgaard, Tommy & Fox, Naomi J. & Hutchings, Nicholas J. & Kjeldsen, Chris & Lacetera, Nicola & Sinabell, Franz & Topp, Cairistiona F.E. & va, 2016. "Modeling European ruminant production systems: Facing the challenges of climate change," Agricultural Systems, Elsevier, vol. 147(C), pages 24-37.
    4. 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).
    5. 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).
    6. Confalonieri, R., 2014. "CoSMo: A simple approach for reproducing plant community dynamics using a single instance of generic crop simulators," Ecological Modelling, Elsevier, vol. 286(C), pages 1-10.
    7. Movedi, Ermes & Paleari, Livia & Argenti, Giovanni & Vesely, Fosco M. & Staglianò, Nicolina & Parrini, Silvia & Confalonieri, Roberto, 2024. "The application of a plant community model to evaluate adaptation strategies for alleviating climate change impacts on grassland productivity, biodiversity and forage quality," Ecological Modelling, Elsevier, vol. 488(C).
    8. Bhattarai, Mukesh Dev & Secchi, Silvia & Schoof, Justin, 2017. "Projecting corn and soybeans yields under climate change in a Corn Belt watershed," Agricultural Systems, Elsevier, vol. 152(C), pages 90-99.
    9. Laughlin, Daniel C. & Joshi, Chaitanya, 2015. "Theoretical consequences of trait-based environmental filtering for the breadth and shape of the niche: New testable hypotheses generated by the Traitspace model," Ecological Modelling, Elsevier, vol. 307(C), pages 10-21.
    10. Lutz, Femke & Stoorvogel, Jetse J. & Müller, Christoph, 2019. "Options to model the effects of tillage on N2O emissions at the global scale," Ecological Modelling, Elsevier, vol. 392(C), pages 212-225.
    11. Franziska Taubert & Jessica Hetzer & Julia Sabine Schmid & Andreas Huth, 2020. "Confronting an individual-based simulation model with empirical community patterns of grasslands," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-19, July.
    12. Tatsumi, Kenichi, 2016. "Effects of automatic multi-objective optimization of crop models on corn yield reproducibility in the U.S.A," Ecological Modelling, Elsevier, vol. 322(C), pages 124-137.
    13. Maire, Vincent & Soussana, Jean-François & Gross, Nicolas & Bachelet, Bruno & Pagès, Loïc & Martin, Raphaël & Reinhold, Tanja & Wirth, Christian & Hill, David, 2013. "Plasticity of plant form and function sustains productivity and dominance along environment and competition gradients. A modeling experiment with Gemini," Ecological Modelling, Elsevier, vol. 254(C), pages 80-91.
    14. Morgese, S. & Casale, F. & Movedi, E. & Confalonieri, R. & Bocchiola, D., 2024. "Modelling the effects of potential climate change on the dynamics of multi-species mountain pastures: A case study in Gran Paradiso National Park, Italy," Agricultural Systems, Elsevier, vol. 217(C).
    15. Wallace, Carlington W. & Flanagan, Dennis C. & Engel, Bernard A., 2017. "Quantifying the effects of conservation practice implementation on predicted runoff and chemical losses under climate change," Agricultural Water Management, Elsevier, vol. 186(C), pages 51-65.
    16. Oomen, Roelof J. & Ewert, Frank & Snyman, Hennie A., 2016. "Modelling rangeland productivity in response to degradation in a semi-arid climate," Ecological Modelling, Elsevier, vol. 322(C), pages 54-70.
    17. Coiner, Colette & Wu, JunJie & Polasky, Stephen, 2001. "Economic and environmental implications of alternative landscape designs in the Walnut Creek Watershed of Iowa," Ecological Economics, Elsevier, vol. 38(1), pages 119-139, July.
    18. Pointurier, Olivia & Moreau, Delphine & Pagès, Loïc & Caneill, Jacques & Colbach, Nathalie, 2021. "Individual-based 3D modelling of root systems in heterogeneous plant canopies at the multiannual scale. Case study with a weed dynamics model," Ecological Modelling, Elsevier, vol. 440(C).
    19. Vincent Maire & Nicolas Gross & David Hill & Raphaël Martin & Christian Wirth & Ian J Wright & Jean-François Soussana, 2013. "Disentangling Coordination among Functional Traits Using an Individual-Centred Model: Impact on Plant Performance at Intra- and Inter-Specific Levels," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-1, October.
    20. Doraiswamy, P.C. & McCarty, G.W. & Hunt, E.R. Jr. & Yost, R.S. & Doumbia, M. & Franzluebbers, A.J., 2007. "Modeling soil carbon sequestration in agricultural lands of Mali," Agricultural Systems, Elsevier, vol. 94(1), pages 63-74, April.

    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:eee:ecomod:v:401:y:2019:i:c:p:111-128. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    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.