IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v440y2021ics0304380020304415.html
   My bibliography  Save this article

Individual-based 3D modelling of root systems in heterogeneous plant canopies at the multiannual scale. Case study with a weed dynamics model

Author

Listed:
  • Pointurier, Olivia
  • Moreau, Delphine
  • Pagès, Loïc
  • Caneill, Jacques
  • Colbach, Nathalie

Abstract

Reducing pesticide use in agriculture is essential but involves shifting towards more complex agroecosystems. Plant canopies are expected to be more heterogeneous because a more abundant weed flora is likely to remain in low-herbicide fields, and because intercropping (i.e. mixing various crops species or varieties) is a promising option to reduce chemical inputs. Simulation models are useful to understand and design complex agroecological cropping systems, but they rarely represent the root systems of plants. However, belowground processes, such as competition for soil resources or infection by root-parasitic plants, are key determinants of the structure of plant communities. The aim of our study was to develop a model that simulates heterogeneous 3D individual-based crop-weed canopies from cropping system and pedoclimate and that will ultimately be used to design agroecological cropping systems. Therefore, we (1) connected a root system model (RSCone) to a weed dynamics model (FlorSys) in order to include both above and belowground parts of plants, (2) evaluated the prediction quality of our model, and (3) analysed the influence of species parameters on potential soil-resource uptake and root infection by parasitic plants. We used the well-known allometric relationship between root and total plant biomass to connect RSCone and FlorSys, and we created new formalisms to model the effect of soil compaction on root growth. Our model was shown to correctly predict long-term weed dynamics in various cropping systems. From step 3), we characterized crops and weed communities that are potentially competitive for soil resources and most likely to be infected by parasitic plants, and we deduced agronomic recommendations. For example, species emerging and occupying the soil quickly were the most likely to relay broomrape infestation and control of such species should take precedence. Although we focussed on crop-weed competition, our approach can be applied to other heterogeneous canopies, for designing crop mixtures for example.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:ecomod:v:440:y:2021:i:c:s0304380020304415
    DOI: 10.1016/j.ecolmodel.2020.109376
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380020304415
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2020.109376?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. Chatelin, M. H. & Aubry, C. & Poussin, J. C. & Meynard, J. M. & Masse, J. & Verjux, N. & Gate, Ph. & Le Bris, X., 2005. "DeciBle, a software package for wheat crop management simulation," Agricultural Systems, Elsevier, vol. 83(1), pages 77-99, January.
    2. Gardarin, Antoine & Dürr, Carolyne & Colbach, Nathalie, 2012. "Modeling the dynamics and emergence of a multispecies weed seed bank with species traits," Ecological Modelling, Elsevier, vol. 240(C), pages 123-138.
    3. Munier-Jolain, N.M. & Guyot, S.H.M. & Colbach, N., 2013. "A 3D model for light interception in heterogeneous crop:weed canopies: Model structure and evaluation," Ecological Modelling, Elsevier, vol. 250(C), pages 101-110.
    4. Lê, Sébastien & Josse, Julie & Husson, François, 2008. "FactoMineR: An R Package for Multivariate Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i01).
    5. Dray, Stéphane & Dufour, Anne-Béatrice, 2007. "The ade4 Package: Implementing the Duality Diagram for Ecologists," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 22(i04).
    6. Zeqing Ma & Dali Guo & Xingliang Xu & Mingzhen Lu & Richard D. Bardgett & David M. Eissenstat & M. Luke McCormack & Lars O. Hedin, 2018. "Evolutionary history resolves global organization of root functional traits," Nature, Nature, vol. 555(7694), pages 94-97, March.
    7. 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.
    8. Pagès, Loïc & Bécel, Carole & Boukcim, Hassan & Moreau, Delphine & Nguyen, Christophe & Voisin, Anne-Sophie, 2014. "Calibration and evaluation of ArchiSimple, a simple model of root system architecture," Ecological Modelling, Elsevier, vol. 290(C), pages 76-84.
    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. Cavan, Nicolas & Omon, Bertrand & Dubois, Sophie & Toqué, Clotilde & Van Inghelandt, Bastien & Queyrel, Wilfried & Colbach, Nathalie & Angevin, Frédérique, 2023. "Model-based evaluation in terms of weed management and overall sustainability of cropping systems designed with three different approaches," Agricultural Systems, Elsevier, vol. 208(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. Cavan, Nicolas & Omon, Bertrand & Dubois, Sophie & Toqué, Clotilde & Van Inghelandt, Bastien & Queyrel, Wilfried & Colbach, Nathalie & Angevin, Frédérique, 2023. "Model-based evaluation in terms of weed management and overall sustainability of cropping systems designed with three different approaches," Agricultural Systems, Elsevier, vol. 208(C).
    2. Bürger, Jana & Darmency, Henri & Granger, Sylvie & Guyot, Sébastien H.M. & Messéan, Antoine & Colbach, Nathalie, 2015. "Simulation study of the impact of changed cropping practices in conventional and GM maize on weeds and associated biodiversity," Agricultural Systems, Elsevier, vol. 137(C), pages 51-63.
    3. Queyrel, Wilfried & Van Inghelandt, Bastien & Colas, Floriane & Cavan, Nicolas & Granger, Sylvie & Guyot, Bérénice & Reau, Raymond & Derrouch, Damien & Chauvel, Bruno & Maillot, Thibault & Colbach, Na, 2023. "Combining expert knowledge and models in participatory workshops with farmers to design sustainable weed management strategies," Agricultural Systems, Elsevier, vol. 208(C).
    4. Colas, Floriane & Gauchi, Jean-Pierre & Villerd, Jean & Colbach, Nathalie, 2021. "Simplifying a complex computer model: Sensitivity analysis and metamodelling of an 3D individual-based crop-weed canopy model," Ecological Modelling, Elsevier, vol. 454(C).
    5. Juan Carlos Suárez Salazar & Marie Ange Ngo Bieng & Luz Marina Melgarejo & Julio A Di Rienzo & Fernando Casanoves, 2018. "First typology of cacao (Theobroma cacao L.) systems in Colombian Amazonia, based on tree species richness, canopy structure and light availability," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-20, February.
    6. Marthe Montcho & Elie Antoine Padonou & Marlise Montcho & Meshack Nzesei Mutua & Brice Sinsin, 2022. "Perception and adaptation strategies of dairy farmers towards climate variability and change in West Africa," Climatic Change, Springer, vol. 170(3), pages 1-21, February.
    7. 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.
    8. Beaton, Derek & Chin Fatt, Cherise R. & Abdi, Hervé, 2014. "An ExPosition of multivariate analysis with the singular value decomposition in R," Computational Statistics & Data Analysis, Elsevier, vol. 72(C), pages 176-189.
    9. Karin Kauer & Sandra Pärnpuu & Liina Talgre & Viacheslav Eremeev & Anne Luik, 2021. "Soil Particulate and Mineral-Associated Organic Matter Increases in Organic Farming under Cover Cropping and Manure Addition," Agriculture, MDPI, vol. 11(9), pages 1-23, September.
    10. Surun, Clément & Drechsler, Martin, 2018. "Effectiveness of Tradable Permits for the Conservation of Metacommunities With Two Competing Species," Ecological Economics, Elsevier, vol. 147(C), pages 189-196.
    11. Jan Kluge & Sarah Lappöhn & Kerstin Plank, 2023. "Predictors of TFP growth in European countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(1), pages 109-140, February.
    12. Navarro-Miró, D. & Iocola, I. & Persiani, A. & Blanco-Moreno, J.M. & Kristensen, H. Lakkenborg & Hefner, M. & Tamm, K. & Bender, I. & Védie, H. & Willekens, K. & Diacono, M. & Montemurro, F. & Sans, F, 2019. "Energy flows in European organic vegetable systems: Effects of the introduction and management of agroecological service crops," Energy, Elsevier, vol. 188(C).
    13. 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).
    14. Wenzel Kröber & Martin Böhnke & Erik Welk & Christian Wirth & Helge Bruelheide, 2012. "Leaf Trait-Environment Relationships in a Subtropical Broadleaved Forest in South-East China," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-11, April.
    15. Alexander Platzer & Thomas Nussbaumer & Thomas Karonitsch & Josef S Smolen & Daniel Aletaha, 2019. "Analysis of gene expression in rheumatoid arthritis and related conditions offers insights into sex-bias, gene biotypes and co-expression patterns," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-23, July.
    16. Baccar, Mariem & Raynal, Hélène & Sekhar, Muddu & Bergez, Jacques-Eric & Willaume, Magali & Casel, Pierre & Giriraj, P. & Murthy, Sanjeeva & Ruiz, Laurent, 2023. "Dynamics of crop category choices reveal strategies and tactics used by smallholder farmers in India to cope with unreliable water availability," Agricultural Systems, Elsevier, vol. 211(C).
    17. Aditi Sahu & Kivanc Kose & Lukas Kraehenbuehl & Candice Byers & Aliya Holland & Teguru Tembo & Anthony Santella & Anabel Alfonso & Madison Li & Miguel Cordova & Melissa Gill & Christi Fox & Salvador G, 2022. "In vivo tumor immune microenvironment phenotypes correlate with inflammation and vasculature to predict immunotherapy response," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    18. Pengfei Song & Wen Qin & YanGan Huang & Lei Wang & Zhenyuan Cai & Tongzuo Zhang, 2020. "Grazing Management Influences Gut Microbial Diversity of Livestock in the Same Area," Sustainability, MDPI, vol. 12(10), pages 1-12, May.
    19. la Grange, Anthony & le Roux, Niël & Gardner-Lubbe, Sugnet, 2009. "BiplotGUI: Interactive Biplots in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i12).
    20. Joy R. Petway & Yu-Pin Lin & Rainer F. Wunderlich, 2019. "Analyzing Opinions on Sustainable Agriculture: Toward Increasing Farmer Knowledge of Organic Practices in Taiwan-Yuanli Township," Sustainability, MDPI, vol. 11(14), pages 1-27, 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:eee:ecomod:v:440:y:2021:i:c:s0304380020304415. 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.