IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v137y2015icp51-63.html
   My bibliography  Save this article

Simulation study of the impact of changed cropping practices in conventional and GM maize on weeds and associated biodiversity

Author

Listed:
  • Bürger, Jana
  • Darmency, Henri
  • Granger, Sylvie
  • Guyot, Sébastien H.M.
  • Messéan, Antoine
  • Colbach, Nathalie

Abstract

The introduction of genetically-modified (GM) crops is often accompanied by other changes in cultural practices. The objective of the present study was to evaluate these changes with the simulation model FlorSys which quantifies the effects of cropping systems and pedoclimate on weed dynamics as well as indicators of weed-related biodiversity (species richness and equitability, trophic resources for birds, insects and pollinators) and crop production loss (yield loss, harvest contamination, harvesting problems, field infestation). The study focused on two GM maize variety types, i.e. expressing Bacillus thuringiensis toxins against insects (Bt) and tolerating the non-selective herbicide glyphosate (HT). Two contrasting maize-growing sites were studied: Aquitaine, a region in South-Western France, and Catalonia in North-Eastern Spain. Typical regional cropping systems containing maize were identified for each site from expert knowledge and the Biovigilance database recording French agricultural practices. GM scenarios were based on expert knowledge, literature and current Spanish practices. A total of 11 most probable scenarios (1 conventional, 3 Bt and 8 HT) were simulated over 28 years for each region, and repeated with 10 different regional random weather series. An additional series of 5–7 scenarios per region was run to decorrelate factors, and make it easier to identify the cultural practices responsible for changes in weed flora, biodiversity and production. The simulations showed that the changes accompanying the introduction of GM maize varieties affected weed flora as well as weed-related biodiversity and crop production loss, but that the consequences depended on local conditions. Most of these consequences were caused by simplifications in the cropping systems made possible by the GM varieties, rather than by the glyphosate associated to GM varieties. Simplified tillage or no-till increased weed harmfulness, particularly in Aquitaine where the weed flora was poorer and dominated by larger and more persistent species. Conversely, no-till cancelled part or all of the nefarious effects on biodiversity of simplified rotations (maize/wheat and maize monoculture), particularly by improving trophic resources offered by weeds to birds, insects and pollinators. Overall, biodiversity was less affected by simplified rotations in Catalonia where the initial weed flora was richer and more equitable. Delayed maize sowing reduced weed harmfulness and biodiversity, except food offer for insects and pollinators whose pertinent feeding period covered spring and summer (vs. winter for birds). Based on the two most affected weed-based biodiversity indicators, ex post monitoring after GM introduction should focus on birds in Aquitaine and on pollinators in Catalonia.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:agisys:v:137:y:2015:i:c:p:51-63
    DOI: 10.1016/j.agsy.2015.03.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X15000438
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agsy.2015.03.009?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. J. N. Perry & L. G. Firbank & G. T. Champion & S. J. Clark & M. S. Heard & M. J. May & C. Hawes & G. R. Squire & P. Rothery & I. P. Woiwod & J. D. Pidgeon, 2004. "Ban on triazine herbicides likely to reduce but not negate relative benefits of GMHT maize cropping," Nature, Nature, vol. 428(6980), pages 313-316, March.
    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. Menozzi, Davide & Kostov, Kaloyan & Sogari, Giovanni & Arpaia, Salvatore & Moyankova, Daniela & Cristina Mora, 2017. "A stakeholder engagement approach for identifying future research directions in the evaluation of current and emerging applications of GMOs," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 6(1), May.

    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. 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).
    2. 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).
    3. 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).
    4. 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).
    5. 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).
    6. Ricci, Benoît & Petit, Sandrine & Allanic, Charlotte & Langot, Marie & Parisey, Nicolas & Poggi, Sylvain, 2018. "How effective is large landscape-scale planning for reducing local weed infestations? A landscape-scale modelling approach," Ecological Modelling, Elsevier, vol. 384(C), pages 221-232.
    7. Chéné, Yann & Belin, Étienne & Rousseau, David & Chapeau-Blondeau, François, 2013. "Multiscale analysis of depth images from natural scenes: Scaling in the depth of the woods," Chaos, Solitons & Fractals, Elsevier, vol. 54(C), pages 135-149.
    8. Sester, Mathilde & Dürr, Carolyne & Darmency, Henri & Colbach, Nathalie, 2007. "Modelling the effects of cropping systems on the seed bank dynamics and the emergence of weed beet," Ecological Modelling, Elsevier, vol. 204(1), pages 47-58.
    9. Poussin, Jean-Christophe & Diallo, Youssouf & Legoupil, Jean-Claude, 2006. "Improved collective decision-making in action for irrigated rice farmers in the Senegal River Valley," Agricultural Systems, Elsevier, vol. 89(2-3), pages 299-323, September.
    10. Martin, G. & Duru, M. & Schellberg, J. & Ewert, F., 2012. "Simulations of plant productivity are affected by modelling approaches of farm management," Agricultural Systems, Elsevier, vol. 109(C), pages 25-34.
    11. Stéphane Cordeau & Richard G. Smith & Eric R. Gallandt & Bryan Brown & Paul Salon & Antonio DiTommaso & Matthew R. Ryan, 2017. "Disentangling the Effects of Tillage Timing and Weather on Weed Community Assembly," Agriculture, MDPI, vol. 7(8), pages 1-18, August.
    12. Senthilkumar, Kalimuthu & Bergez, Jacques-Eric & Leenhardt, Delphine, 2015. "Can farmers use maize earliness choice and sowing dates to cope with future water scarcity? A modelling approach applied to south-western France," Agricultural Water Management, Elsevier, vol. 152(C), pages 125-134.
    13. Salembier, Chloé & Segrestin, Blanche & Berthet, Elsa & Weil, Benoît & Meynard, Jean-Marc, 2018. "Genealogy of design reasoning in agronomy: Lessons for supporting the design of agricultural systems," Agricultural Systems, Elsevier, vol. 164(C), pages 277-290.
    14. 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.
    15. Uwe A. Schneider & Livia Rasche & Bruce A. McCarl, 2018. "Assessing the Economic Impacts of Pesticide Regulations," Agriculture, MDPI, vol. 8(4), pages 1-13, April.
    16. Vayssières, Jonathan & Guerrin, François & Paillat, Jean-Marie & Lecomte, Philippe, 2009. "GAMEDE: A global activity model for evaluating the sustainability of dairy enterprises Part I - Whole-farm dynamic model," Agricultural Systems, Elsevier, vol. 101(3), pages 128-138, July.
    17. Nesme, Thomas & Brisson, Nadine & Lescourret, Francoise & Bellon, Stephane & Crete, Xavier & Plenet, Daniel & Habib, Robert, 2006. "Epistics: A dynamic model to generate nitrogen fertilisation and irrigation schedules in apple orchards, with special attention to qualitative evaluation of the model," Agricultural Systems, Elsevier, vol. 90(1-3), pages 202-225, October.
    18. 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.
    19. Merot, A. & Bergez, J.-E. & Capillon, A. & Wery, J., 2008. "Analysing farming practices to develop a numerical, operational model of farmers' decision-making processes: An irrigated hay cropping system in France," Agricultural Systems, Elsevier, vol. 98(2), pages 108-118, September.
    20. Blanco, Aníbal M. & Chantre, Guillermo R. & Lodovichi, Mariela V. & Bandoni, J. Alberto & López, Ricardo L. & Vigna, Mario R. & Gigón, Ramón & Sabbatini, Mario R., 2014. "Modeling seed dormancy release and germination for predicting Avena fatua L. field emergence: A genetic algorithm approach," Ecological Modelling, Elsevier, vol. 272(C), pages 293-300.

    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:agisys:v:137:y:2015:i:c:p:51-63. 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.elsevier.com/locate/agsy .

    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.