IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v231y2012icp134-145.html
   My bibliography  Save this article

Gemini: A grassland model simulating the role of plant traits for community dynamics and ecosystem functioning. Parameterization and evaluation

Author

Listed:
  • Soussana, Jean-François
  • Maire, Vincent
  • Gross, Nicolas
  • Bachelet, Bruno
  • Pagès, Loic
  • Martin, Raphaël
  • Hill, David
  • Wirth, Christian

Abstract

A structure–function–diversity model of grassland ecosystems (Gemini) has been developed. For a potentially unlimited number of clonal plant populations, it explicitly simulates competition for two key resources (light and nitrogen) along vertical canopy and soil profiles. Population turnover, shoot and root morphogenesis, photosynthesis, respiration, transpiration, N acquisition by uptake, allocation of assimilates between structural compartments, and reserve storage and remobilization, are simulated for each plant population. The object-oriented structure of the modeling framework allows to couple, or not, the simulated plant populations to other sub-models describing climate variables, soil functioning, grazing behavior and grassland management. Partitioning of growth between shoot structures, leaf photosynthetic proteins and roots is based on two assumptions: (i) functional balance between root and shoot activity, (ii) coordination of leaf photosynthesis. The model was parameterized from plant functional trait measurements of 13 native perennial pasture grass species grown in monocultures at high N availability and low cutting frequency in a field trial. Predicted and measured annual dry-matter yields were highly correlated without bias across species, N supply and cutting frequency treatments in monocultures and in mixtures of six species. Results show the ability of this mechanistic model to simulate without bias nitrogen and disturbance responses of net primary productivity and of plant community structure.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ecomod:v:231:y:2012:i:c:p:134-145
    DOI: 10.1016/j.ecolmodel.2012.02.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380012000579
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2012.02.002?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. Lehsten, Veiko & Kleyer, Michael, 2007. "Turnover of plant trait hierarchies in simulated community assembly in response to fertility and disturbance," Ecological Modelling, Elsevier, vol. 203(3), pages 270-278.
    2. Tomlinson, Kyle W. & Dominy, James G. & Hearne, John W. & O’Connor, Timothy G., 2007. "A functional-structural model for growth of clonal bunchgrasses," Ecological Modelling, Elsevier, vol. 202(3), pages 243-264.
    3. van Wijk, M.T., 2007. "Predicting ecosystem functioning from plant traits: Results from a multi-scale ecophysiological modeling approach," Ecological Modelling, Elsevier, vol. 203(3), pages 453-463.
    4. Geoffrey B. West & James H. Brown & Brian J. Enquist, 1999. "A general model for the structure and allometry of plant vascular systems," Nature, Nature, vol. 400(6745), pages 664-667, August.
    5. Lazzarotto, P. & Calanca, P. & Fuhrer, J., 2009. "Dynamics of grass–clover mixtures—An analysis of the response to management with the PROductive GRASsland Simulator (PROGRASS)," Ecological Modelling, Elsevier, vol. 220(5), pages 703-724.
    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. 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.
    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. 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.
    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. 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.
    6. 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).
    7. 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).
    8. 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.
    9. 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.
    10. 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).
    11. 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.
    12. 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.
    13. 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. Herben, Tomáš & Wildová, Radka, 2012. "Community-level effects of plant traits in a grassland community examined by multispecies model of clonal plant growth," Ecological Modelling, Elsevier, vol. 234(C), pages 60-69.
    2. Herberich, Maximiliane Marion & Gayler, Sebastian & Anand, Madhur & Tielbörger, Katja, 2017. "Hydrological niche segregation of plant functional traits in an individual-based model," Ecological Modelling, Elsevier, vol. 356(C), pages 14-24.
    3. Hongying Li & Zhongwen Huang & Junyi Gai & Song Wu & Yanru Zeng & Qin Li & Rongling Wu, 2007. "A Conceptual Framework for Mapping Quantitative Trait Loci Regulating Ontogenetic Allometry," PLOS ONE, Public Library of Science, vol. 2(11), pages 1-10, November.
    4. Eglin, Thomas & Francois, Christophe & Michelot, Alice & Delpierre, Nicolas & Damesin, Claire, 2010. "Linking intra-seasonal variations in climate and tree-ring δ13C: A functional modelling approach," Ecological Modelling, Elsevier, vol. 221(15), pages 1779-1797.
    5. Kohei Koyama & Yoshiki Hidaka & Masayuki Ushio, 2012. "Dynamic Scaling in the Growth of a Non-Branching Plant, Cardiocrinum cordatum," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-5, September.
    6. Annett Wolf & Patrick Lazzarotto & Harald Bugmann, 2012. "The relative importance of land use and climatic change in Alpine catchments," Climatic Change, Springer, vol. 111(2), pages 279-300, March.
    7. Baiamonte, Giorgio & Motisi, Antonio, 2020. "Analytical approach extending the Granier method to radial sap flow patterns," Agricultural Water Management, Elsevier, vol. 231(C).
    8. Oborny, Beáta & Englert, Péter, 2012. "Plant growth and foraging for a patchy resource: A credit model," Ecological Modelling, Elsevier, vol. 234(C), pages 20-30.
    9. Xu, Meng & Jiang, Mengke & Wang, Hua-Feng, 2021. "Integrating metabolic scaling variation into the maximum entropy theory of ecology explains Taylor's law for individual metabolic rate in tropical forests," Ecological Modelling, Elsevier, vol. 455(C).
    10. Hannah Capes & Robert J. Maillardet & Thomas G. Baker & Christopher J. Weston & Don McGuire & Ian C. Dumbrell & Andrew P. Robinson, 2017. "The Allometric Quarter-Power Scaling Model and Its Applicability to Grand Fir and Eucalyptus Trees," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 22(4), pages 562-584, December.
    11. 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.
    12. Guan-Zhi Liu & Kai Zhao & Shi-Qi Zhang & Yu-Mei Liang & Yong-Jie Yue & Guo-Hou Liu & Fu-Cang Qin, 2024. "Biomass Allocation and Allometric Relationship of Salix gordejevii Branches in Sandy Habitats Heterogeneity in Northern China," Sustainability, MDPI, vol. 16(13), pages 1-17, June.
    13. GANIO-MEGO, Joe, 2022. "The instant and historical Preston curves: allometry quarter-power law valid for the humans," SocArXiv y8rbt, Center for Open Science.
    14. Denise Pumain & Céline Rozenblat, 2019. "Two metropolisation gradients in the European system of cities revealed by scaling laws," Environment and Planning B, , vol. 46(9), pages 1645-1662, November.
    15. Lieffering, Mark & Newton, Paul C.D. & Vibart, Ronaldo & Li, Frank Y., 2016. "Exploring climate change impacts and adaptations of extensive pastoral agriculture systems by combining biophysical simulation and farm system models," Agricultural Systems, Elsevier, vol. 144(C), pages 77-86.
    16. Watt, Michael S. & Kirschbaum, Miko U.F., 2011. "Moving beyond simple linear allometric relationships between tree height and diameter," Ecological Modelling, Elsevier, vol. 222(23), pages 3910-3916.
    17. GANIO-MEGO, Joe, 2022. "Estimating the human equivalent weight by applying the quarter-power law of allometry to humanity," OSF Preprints 7eq6x, Center for Open Science.
    18. Amsalu Abich & Mesele Negash & Asmamaw Alemu & Temesgen Gashaw, 2022. "Aboveground Biomass Models in the Combretum-Terminalia Woodlands of Ethiopia: Testing Species and Site Variation Effects," Land, MDPI, vol. 11(6), pages 1-23, May.
    19. 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.
    20. Zhang, Yuwen & Ding, Changjun & Liu, Yan & Li, Shan & Li, Ximeng & Xi, Benye & Duan, Jie, 2023. "Xylem anatomical and hydraulic traits vary within crown but not respond to water and nitrogen addition in Populus tomentosa," Agricultural Water Management, Elsevier, vol. 278(C).

    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:231:y:2012:i:c:p:134-145. 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.