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

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  • 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%

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  • 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
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    References listed on IDEAS

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    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. 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.
    3. 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.
    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.
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    3. 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).
    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).

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