IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v221y2010i23p2793-2800.html
   My bibliography  Save this article

Spatially mixed crops to control the stratified dispersal of airborne fungal diseases

Author

Listed:
  • Sapoukhina, Natalia
  • Tyutyunov, Yuri
  • Sache, Ivan
  • Arditi, Roger

Abstract

Intraspecific crop diversification is thought to be a possible solution to the disease susceptibility of monocultured crops. We modelled the stratified dispersal of an airborne pathogen population in order to identify the spatial patterns of cultivar mixtures that could slow epidemic spread driven by dual dispersal mechanisms acting over both short and long distances. We developed a model to simulate the propagation of a fungal disease in a 2D field, including a reaction-diffusion model for short-distance disease dispersal, and a stochastic model for long-distance dispersal. The model was fitted to data for the spatio-temporal spread of faba bean rust (caused by Uromyces viciae-fabae) through a discontinuous field. The model was used to compare the effectiveness of eight different planting patterns of cultivar mixtures against a disease spread by short-distance and stratified dispersal. Our combined modelling approach provides a reasonably good fit with the observed data for the spread of faba bean rust. Similar predictive power could be expected for the management of resource-mediated invasions by other airborne fungi. If a disease spreads by short-distance dispersal, random mixtures can be used to slow the epidemic spread, since their spatial irregularity creates a natural barrier to the progression of a smooth epidemic wave. In the context of stratified dispersal, heterogeneous patterns should be used that include a minimum distance between susceptible units, which decreases the probability of infection by long-distance spore dispersal. We provide a simple framework for modelling the stratified dispersal of disease in a diversified crop. The model suggests that the spatial arrangement of components in cultivar mixtures has to accord with the dispersal characteristics of the pathogen in order to increase the efficiency of diversification strategies in agro-ecosystems and forestry. It can be applied in low input agriculture to manage pathogen invasion by intercropping and cultivar mixtures, and to design sustainable systems of land use.

Suggested Citation

  • Sapoukhina, Natalia & Tyutyunov, Yuri & Sache, Ivan & Arditi, Roger, 2010. "Spatially mixed crops to control the stratified dispersal of airborne fungal diseases," Ecological Modelling, Elsevier, vol. 221(23), pages 2793-2800.
    • Handle: RePEc:eee:ecomod:v:221:y:2010:i:23:p:2793-2800
    DOI: 10.1016/j.ecolmodel.2010.08.020
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380010004151
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2010.08.020?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. Youyong Zhu & Hairu Chen & Jinghua Fan & Yunyue Wang & Yan Li & Jianbing Chen & JinXiang Fan & Shisheng Yang & Lingping Hu & Hei Leung & Tom W. Mew & Paul S. Teng & Zonghua Wang & Christopher C. Mundt, 2000. "Genetic diversity and disease control in rice," Nature, Nature, vol. 406(6797), pages 718-722, August.
    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. Mammeri, Y. & Burie, J.B. & Langlais, M. & Calonnec, A., 2014. "How changes in the dynamic of crop susceptibility and cultural practices can be used to better control the spread of a fungal pathogen at the plot scale?," Ecological Modelling, Elsevier, vol. 290(C), pages 178-191.
    2. David C Cook & Shuang Liu & Jacqueline Edwards & Oscar N Villalta & Jean-Philippe Aurambout & Darren J Kriticos & Andre Drenth & Paul J De Barro, 2012. "Predicting the Benefits of Banana Bunchy Top Virus Exclusion from Commercial Plantations in Australia," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-9, August.

    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. Palaniappan, Gomathy & King, Christine A. & Cameron, Don, 2009. "CS - Complexity Of Transition To Alternative Farming Systems," 17th Congress, Illinois State University, USA, July 19-24, 2009 345531, International Farm Management Association.
    2. Layla Höckerstedt & Elina Numminen & Ben Ashby & Mike Boots & Anna Norberg & Anna-Liisa Laine, 2022. "Spatially structured eco-evolutionary dynamics in a host-pathogen interaction render isolated populations vulnerable to disease," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    3. Jiang, Jiexian & Wan, Nianfeng, 2009. "A model for ecological assessment to pesticide pollution management," Ecological Modelling, Elsevier, vol. 220(15), pages 1844-1851.
    4. Nian-Feng Wan & Liwan Fu & Matteo Dainese & Yue-Qing Hu & Lars Pødenphant Kiær & Forest Isbell & Christoph Scherber, 2022. "Plant genetic diversity affects multiple trophic levels and trophic interactions," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    5. MARCHAND, Sébastien & GUO, Huanxiu, 2014. "The environmental efficiency of non-certified organic farming in China: A case study of paddy rice production," China Economic Review, Elsevier, vol. 31(C), pages 201-216.
    6. Frank Kutka, 2011. "Open-Pollinated vs. Hybrid Maize Cultivars," Sustainability, MDPI, vol. 3(9), pages 1-24, September.
    7. Stefan Baumgärtner & Martin F. Quaas, 2010. "Managing increasing environmental risks through agrobiodiversity and agrienvironmental policies," Agricultural Economics, International Association of Agricultural Economists, vol. 41(5), pages 483-496, September.
    8. Stefan Baumgärtner & Martin F. Quaas, 2007. "Agro-biodiversity as natural insurance and the development of financial insurance markets," Working Paper Series in Economics 61, University of Lüneburg, Institute of Economics.
    9. Kwikiriza, Norman & Katungi, Enid & Horna, Daniela, 2011. "Estimating the role of spatial varietal diversity on crop productivity within an abatement framework: The case of banana in Uganda," IFPRI discussion papers 01051, International Food Policy Research Institute (IFPRI).
    10. Yuying Li & Qiong Wang & Huimin Jia & Kazuya Ishikawa & Ken-ichi Kosami & Takahiro Ueba & Atsumi Tsujimoto & Miki Yamanaka & Yasuyuki Yabumoto & Daisuke Miki & Eriko Sasaki & Yoichiro Fukao & Masayuki, 2024. "An NLR paralog Pit2 generated from tandem duplication of Pit1 fine-tunes Pit1 localization and function," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    11. Eugenio Figueroa B. & Roberto Pasten C., 2012. "The insurance value of forests in supplying climate regulation," Working Papers wp372, University of Chile, Department of Economics.
    12. Imelda M. Revilla-Molina & Lammert Bastiaans & Herman Van Keulen & Twng Wah W. Mew & Y.Y. Zhu & Renato Andrin Villano, 2008. "Improvement of Technical Efficiency in Rice Farming through Interplanting: A Stochastic Frontier Analysis in Yunnan, China," DEGIT Conference Papers c013_015, DEGIT, Dynamics, Economic Growth, and International Trade.
    13. Bo Zhong & Shuang Wu & Geng Sun & Ning Wu, 2022. "Farmers’ Strategies to Climate Change and Urbanization: Potential of Ecosystem-Based Adaptation in Rural Chengdu, Southwest China," IJERPH, MDPI, vol. 19(2), pages 1-21, January.
    14. Wenjiang Jing & Hao Wu & Hanzhu Gu & Zhilin Xiao & Weilu Wang & Weiyang Zhang & Junfei Gu & Lijun Liu & Zhiqin Wang & Jianhua Zhang & Jianchang Yang & Hao Zhang, 2022. "Response of Grain Yield and Water Use Efficiency to Irrigation Regimes during Mid-Season indica Rice Genotype Improvement," Agriculture, MDPI, vol. 12(10), pages 1-18, October.
    15. Maolin Li & Yongxun Zhang & Changhong Miao & Lulu He & Jiatao Chen, 2022. "Centennial Change and Source–Sink Interaction Process of Traditional Agricultural Landscape: Case from Xin’an Traditional Cherry Cultivation System (1920–2020)," Land, MDPI, vol. 11(10), pages 1-22, October.
    16. Agnès Bernis-Fonteneau & Meryem Aakairi & Omar Saadani-Hassani & Giandaniele Castangia & Rachid Ait Babahmad & Paolo Colangelo & Ugo D’Ambrosio & Devra I. Jarvis, 2023. "Farmers’ Variety Naming and Crop Varietal Diversity of Two Cereal and Three Legume Species in the Moroccan High Atlas, Using DATAR," Sustainability, MDPI, vol. 15(13), pages 1-17, July.
    17. Soleri, Daniela & Cleveland, David A. & Glasgow, Garrett & Sweeney, Stuart H. & Cuevas, Flavio Aragón & Fuentes, Mario R. & Ríos L., Humberto, 2008. "Testing assumptions underlying economic research on transgenic food crops for Third World farmers: Evidence from Cuba, Guatemala and Mexico," Ecological Economics, Elsevier, vol. 67(4), pages 667-682, November.
    18. Peng Zhang & Huize Ren & Xiaobin Dong & Xuechao Wang & Mengxue Liu & Ying Zhang & Yufang Zhang & Jiuming Huang & Shuheng Dong & Ruiming Xiao, 2023. "Understanding and Applications of Tensors in Ecosystem Services: A Case Study of the Manas River Basin," Land, MDPI, vol. 12(2), pages 1-23, February.
    19. Shahril Ab Razak & Nor Helwa Ezzah Nor Azman & Rahiniza Kamaruzaman & Shamsul Amri Saidon & Muhammad Fairuz Mohd Yusof & Siti Norhayati Ismail & Mohd Azwan Jaafar & Norzihan Abdullah, 2020. "Genetic diversity of released Malaysian rice varieties based on single nucleotide polymorphism markers," Czech Journal of Genetics and Plant Breeding, Czech Academy of Agricultural Sciences, vol. 56(2), pages 62-70.
    20. Kiros Hadgu & Walter Rossing & Lammert Kooistra & Ariena Bruggen, 2009. "Spatial variation in biodiversity, soil degradation and productivity in agricultural landscapes in the highlands of Tigray, northern Ethiopia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 1(1), pages 83-97, February.

    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:221:y:2010:i:23:p:2793-2800. 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.