IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-43234-x.html
   My bibliography  Save this article

Fostering temporal crop diversification to reduce pesticide use

Author

Listed:
  • Maé Guinet

    (Univ. Bourgogne, Univ. Bourgogne Franche-Comté)

  • Guillaume Adeux

    (Univ. Bourgogne, Univ. Bourgogne Franche-Comté)

  • Stéphane Cordeau

    (Univ. Bourgogne, Univ. Bourgogne Franche-Comté)

  • Emeric Courson

    (Univ. Bourgogne, Univ. Bourgogne Franche-Comté)

  • Romain Nandillon

    (Univ. Bourgogne, Univ. Bourgogne Franche-Comté)

  • Yaoyun Zhang

    (Univ. Bourgogne, Univ. Bourgogne Franche-Comté)

  • Nicolas Munier-Jolain

    (Univ. Bourgogne, Univ. Bourgogne Franche-Comté)

Abstract

Temporal crop diversification could reduce pesticide use by increasing the proportion of crops with low pesticide use (dilution effects) or enhancing the regulation of pests, weeds and diseases (regulation effects). Here, we use the French National DEPHY Network to compare pesticide use between 16 main crops (dilution effect) and to assess whether temporal crop taxonomic and functional diversification, as implemented in commercial farms specialized in arable field crops, could explain variability in total pesticide use within 16 main crops (regulation effect). The analyses are based on 14,556 crop observations belonging to 1334 contrasted cropping systems spanning the diversity of French climatic regions. We find that cropping systems with high temporal crop diversity generally include crops with low pesticide use. For several crops, total pesticide use is reduced under higher temporal crop functional diversity, temporal crop taxonomic diversity, or both. Higher cover crop frequency increases total pesticide use through an increase in herbicide use. Further studies are required to identify crop sequences that maximize regulation and dilution effects while achieving other facets of cropping system multiperformance.

Suggested Citation

  • Maé Guinet & Guillaume Adeux & Stéphane Cordeau & Emeric Courson & Romain Nandillon & Yaoyun Zhang & Nicolas Munier-Jolain, 2023. "Fostering temporal crop diversification to reduce pesticide use," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-43234-x
    DOI: 10.1038/s41467-023-43234-x
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-43234-x
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-43234-x?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
    ---><---

    References listed on IDEAS

    as
    1. Nilsson, Pia & Bommarco, Riccardo & Hansson, Helena & Kuns, Brian & Schaak, Henning, 2022. "Farm performance and input self-sufficiency increases with functional crop diversity on Swedish farms," Ecological Economics, Elsevier, vol. 198(C).
    2. Simona Arcuti & Crescenza Calculli & Alessio Pollice & Gianfranco D’Onghia, 2013. "Spatio-temporal modelling of zero-inflated deep-sea shrimp data by Tweedie generalized additive," Statistica, Department of Statistics, University of Bologna, vol. 73(1), pages 87-101.
    3. David Weisberger & Virginia Nichols & Matt Liebman, 2019. "Does diversifying crop rotations suppress weeds? A meta-analysis," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-12, July.
    4. Ashley E. Larsen & Frederik Noack, 2021. "Impact of local and landscape complexity on the stability of field-level pest control," Nature Sustainability, Nature, vol. 4(2), pages 120-128, February.
    5. Guillaume Adeux & Simon Giuliano & Stéphane Cordeau & Jean-Marie Savoie & Lionel Alletto, 2017. "Low-Input Maize-Based Cropping Systems Implementing IWM Match Conventional Maize Monoculture Productivity and Weed Control," Agriculture, MDPI, vol. 7(9), pages 1-17, September.
    Full references (including those not matched with items on IDEAS)

    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. Revoyron, Eva & Le Bail, Marianne & Meynard, Jean-Marc & Gunnarsson, Anita & Seghetti, Marco & Colombo, Luca, 2022. "Diversity and drivers of crop diversification pathways of European farms," Agricultural Systems, Elsevier, vol. 201(C).
    2. Bohan, David & Schmucki, Reto & Abay, Abrha & Termansen, Mette & Bane, Miranda & Charalabiis, Alice & Cong, Rong-Gang & Derocles, Stephane & Dorner, Zita & Forster, Matthieu & Gibert, Caroline & Harro, 2020. "Designing farmer-acceptable rotations that assure ecosystem service provision inthe face of climate change," MPRA Paper 112313, University Library of Munich, Germany.
    3. Alletto, Lionel & Vandewalle, Aline & Debaeke, Philippe, 2022. "Crop diversification improves cropping system sustainability: An 8-year on-farm experiment in South-Western France," Agricultural Systems, Elsevier, vol. 200(C).
    4. Schiller, Josepha & Jänicke, Clemens & Reckling, Moritz & Ryo, Masahiro, 2024. "Higher crop rotational diversity in more simplified agricultural landscapes in Northeastern Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 39(4).
    5. Rosa-Schleich, Julia & Loos, Jacqueline & Ferrante, Marco & Mußhoff, Oliver & Tscharntke, Teja, 2024. "Mixed farmers' perception of the ecological-economic performance of diversified farming," Ecological Economics, Elsevier, vol. 220(C).
    6. Boesing, Andrea Larissa & Klaus, Valentin H. & Neyret, Margot & Le Provost, Gaëtane & Peter, Sophie & Fischer, Markus & Manning, Peter, 2024. "Identifying the optimal landscape configuration for landscape multifunctionality," Ecosystem Services, Elsevier, vol. 67(C).
    7. Khalin, Andrey A. & Postnikov, Eugene B., 2020. "A wavelet-based approach to revealing the Tweedie distribution type in sparse data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 553(C).
    8. Mack, G. & Finger, R. & Ammann, J. & El Benni, N., 2023. "Modelling policies towards pesticide-free agricultural production systems," Agricultural Systems, Elsevier, vol. 207(C).
    9. Nicita, Lea & Bosello, Francesco & Standardi, Gabriele & Mendelsohn, Robert, 2024. "An integrated assessment of the impact of agrobiodiversity on the economy of the Euro-Mediterranean region," Ecological Economics, Elsevier, vol. 218(C).
    10. 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).
    11. Gourav Sharma & Swati Shrestha & Sudip Kunwar & Te-Ming Tseng, 2021. "Crop Diversification for Improved Weed Management: A Review," Agriculture, MDPI, vol. 11(5), pages 1-17, May.
    12. 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).
    13. Sánchez, Andrea C. & Kamau, Hannah N. & Grazioli, Francesca & Jones, Sarah K., 2022. "Financial profitability of diversified farming systems: A global meta-analysis," Ecological Economics, Elsevier, vol. 201(C).
    14. Benaragama, Dilshan I. & Willenborg, Christian J. & Shirtliffe, Steve J. & Gulden, Rob H., 2024. "Revisiting cropping systems research: An ecological framework towards long-term weed management," Agricultural Systems, Elsevier, vol. 213(C).
    15. Mohamed Allam & Emanuele Radicetti & Verdiana Petroselli & Roberto Mancinelli, 2021. "Meta-Analysis Approach to Assess the Effects of Soil Tillage and Fertilization Source under Different Cropping Systems," Agriculture, MDPI, vol. 11(9), pages 1-16, August.

    More about this item

    Statistics

    Access and download statistics

    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:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-43234-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    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.