IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v413y2019ics0304380019303369.html
   My bibliography  Save this article

A stochastic individual-based model for the growth of a stand of Japanese knotweed including mowing as a management technique

Author

Listed:
  • Lavallée, François
  • Smadi, Charline
  • Alvarez, Isabelle
  • Reineking, Björn
  • Martin, François-Marie
  • Dommanget, Fanny
  • Martin, Sophie

Abstract

Invasive alien species are a growing threat for the environment and health. They also have a major economic impact, as they can damage many infrastructures. The Japanese knotweed (Fallopia japonica), present in North America, Northern and Central Europe as well as in Australia and New Zealand, is listed by the World Conservation Union as one of the world's worst invasive species. So far, most models have dealt with the knotweed invasion without management. This paper aims to provide a model able to study and predict the dynamics of a stand of Japanese knotweed taking into account mowing as a management technique. The model is stochastic and individual-based, which allows us to take into account the behaviour of individuals depending on their size and location, as well as individual stochasticity. We set plant dynamics parameters based on a calibration with field data and studied the influence of the initial population size, the mean number of mowing events a year and the management project duration on the mean area and mean number of crowns. The results provide the sets of parameters for which it is possible to obtain stand eradication, and the minimum duration of the management project necessary to achieve this.

Suggested Citation

  • Lavallée, François & Smadi, Charline & Alvarez, Isabelle & Reineking, Björn & Martin, François-Marie & Dommanget, Fanny & Martin, Sophie, 2019. "A stochastic individual-based model for the growth of a stand of Japanese knotweed including mowing as a management technique," Ecological Modelling, Elsevier, vol. 413(C).
    • Handle: RePEc:eee:ecomod:v:413:y:2019:i:c:s0304380019303369
    DOI: 10.1016/j.ecolmodel.2019.108828
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380019303369
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2019.108828?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. Champagnat, Nicolas, 2006. "A microscopic interpretation for adaptive dynamics trait substitution sequence models," Stochastic Processes and their Applications, Elsevier, vol. 116(8), pages 1127-1160, August.
    2. Smith, J.M.D. & Ward, J.P. & Child, L.E. & Owen, M.R., 2007. "A simulation model of rhizome networks for Fallopia japonica (Japanese knotweed) in the United Kingdom," Ecological Modelling, Elsevier, vol. 200(3), pages 421-432.
    3. Oscar J. Cacho & Susan Hester & Daniel Spring, 2007. "Applying search theory to determine the feasibility of eradicating an invasive population in natural environments," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(4), pages 425-443, December.
    4. Pimentel, David & Zuniga, Rodolfo & Morrison, Doug, 2005. "Update on the environmental and economic costs associated with alien-invasive species in the United States," Ecological Economics, Elsevier, vol. 52(3), pages 273-288, February.
    5. Bonneau, Mathieu & Martin, Julien & Peyrard, Nathalie & Rodgers, Leroy & Romagosa, Christina M. & Johnson, Fred A., 2019. "Optimal spatial allocation of control effort to manage invasives in the face of imperfect detection and misclassification," Ecological Modelling, Elsevier, vol. 392(C), pages 108-116.
    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. İ. Esra Büyüktahtakın & Robert G. Haight, 2018. "A review of operations research models in invasive species management: state of the art, challenges, and future directions," Annals of Operations Research, Springer, vol. 271(2), pages 357-403, December.
    2. Kompas, Tom & Chu, Long & Nguyen, Hoa Thi Minh, 2016. "A practical optimal surveillance policy for invasive weeds: An application to Hawkweed in Australia," Ecological Economics, Elsevier, vol. 130(C), pages 156-165.
    3. Ceddia, M.G. & Bardsley, N.O. & Goodwin, R. & Holloway, G.J. & Nocella, G. & Stasi, A., 2013. "A complex system perspective on the emergence and spread of infectious diseases: Integrating economic and ecological aspects," Ecological Economics, Elsevier, vol. 90(C), pages 124-131.
    4. Blackwood, Julie & Hastings, Alan & Costello, Christopher, 2010. "Cost-effective management of invasive species using linear-quadratic control," Ecological Economics, Elsevier, vol. 69(3), pages 519-527, January.
    5. Don Driscoll & Adam Felton & Philip Gibbons & Annika Felton & Nicola Munro & David Lindenmayer, 2012. "Priorities in policy and management when existing biodiversity stressors interact with climate-change," Climatic Change, Springer, vol. 111(3), pages 533-557, April.
    6. Åke Brännström & Jacob Johansson & Niels Von Festenberg, 2013. "The Hitchhiker’s Guide to Adaptive Dynamics," Games, MDPI, vol. 4(3), pages 1-25, June.
    7. Sinden, John Alfred & Griffith, Garry, 2007. "Combining economic and ecological arguments to value the environmental gains from control of 35 weeds in Australia," Ecological Economics, Elsevier, vol. 61(2-3), pages 396-408, March.
    8. Manhart, Michael & Haldane, Allan & Morozov, Alexandre V., 2012. "A universal scaling law determines time reversibility and steady state of substitutions under selection," Theoretical Population Biology, Elsevier, vol. 82(1), pages 66-76.
    9. Cook, David C., 2008. "Benefit cost analysis of an import access request," Food Policy, Elsevier, vol. 33(3), pages 277-285, June.
    10. Holmberg, Robert J. & Tlusty, Michael F. & Futoma, Elizabeth & Kaufman, Les & Morris, James A. & Rhyne, Andrew L., 2015. "The 800-Pound Grouper in the Room: Asymptotic Body Size and Invasiveness of Marine Aquarium Fishes," Marine Policy, Elsevier, vol. 53(C), pages 7-12.
    11. Rai, Rajesh Kumar & Scarborough, Helen, 2012. "Estimating the public benefits of mitigating damages caused by invasive plant species in a subsistence economy," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124421, Australian Agricultural and Resource Economics Society.
    12. Charles Perrings, 2016. "Options for managing the infectious animal and plant disease risks of international trade," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(1), pages 27-35, February.
    13. Aldrich, Preston R. & El-Zabet, Jermeen & Hassan, Seerat & Briguglio, Joseph & Aliaj, Enela & Radcliffe, Maria & Mirza, Taha & Comar, Timothy & Nadolski, Jeremy & Huebner, Cynthia D., 2015. "Monte Carlo tests of small-world architecture for coarse-grained networks of the United States railroad and highway transportation systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 32-39.
    14. Elofsson, Katarina & Bengtsson, Goran & Gren, Ing-Marie, 2011. "Optimal Management of Invasive Species with Different Reproduction and Survival Strategies," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114343, European Association of Agricultural Economists.
    15. repec:lib:0000of:v:2:y:2016:i:1:p:17-20 is not listed on IDEAS
    16. M-Mahdi Naddaf-Sh & Harley Myler & Hassan Zargarzadeh, 2018. "Design and Implementation of an Assistive Real-Time Red Lionfish Detection System for AUV/ROVs," Complexity, Hindawi, vol. 2018, pages 1-10, November.
    17. Costello, Christopher & Springborn, Michael & McAusland, Carol & Solow, Andrew, 2007. "Unintended biological invasions: Does risk vary by trading partner?," Journal of Environmental Economics and Management, Elsevier, vol. 54(3), pages 262-276, November.
    18. Antonín Kouba & Francisco J Oficialdegui & Ross N Cuthbert & Melina Kourantidou & Josie South & Elena Tricarico & Rodolphe E Gozlan & Franck Courchamp & Phillip J Haubrock, 2022. "Identifying economic costs and knowledge gaps of invasive aquatic crustaceans," Post-Print hal-03860579, HAL.
    19. Horsch, Eric J. & Lewis, David J., 2008. "The Effects of Aquatic Invasive Species on Property Values: Evidence from a Quasi-Random Experiment," Staff Papers 92216, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    20. Morteza Chalak & David J. Pannell, 2015. "Optimal Integrated Strategies to Control an Invasive Weed," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(3), pages 381-407, September.
    21. Alexander H DeGolia & Elizabeth H T Hiroyasu & Sarah E Anderson, 2019. "Economic losses or environmental gains? Framing effects on public support for environmental management," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-17, 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:413:y:2019:i:c:s0304380019303369. 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.