IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v432y2020ics0304380020302994.html
   My bibliography  Save this article

A temperature- and photoperiod-driven model reveals complex temporal population dynamics of the invasive box tree moth in Europe

Author

Listed:
  • Suppo, Christelle
  • Bras, Audrey
  • Robinet, Christelle

Abstract

The box tree moth, Cydalima perspectalis, is an invasive insect that has rapidly colonised Europe, damaging to natural and ornamental box trees. In its native habitat in China, the number of generations per year is variable, but the number of generations observed in European climates remained unclear. This is a key issue for understanding the rapid increase in population size and range, and for optimising control. We developed a temperature- and photoperiod-driven model to simulate the life cycle of this insect and development rates for each life stage. The model was calibrated on published data and validated with observations obtained in France and Switzerland. Model stability analysis showed that minimal temperature for larval development to be the most important parameter to estimate. Diapause parameters had little effect. We then explored the effects of temperature increases of 1 and 2 °C. The number of generations ranged from two to four at the various study sites. Climate warming will accelerate the insect life cycle, making it possible for the occurrence of one more generation per year. The key finding of this study was the complexity of population dynamics for this species. Some generations overlapped, making it difficult to identify the adult flight period clearly for each generation. Furthermore, various stages were potentially able to overwinter, not just diapausing larvae. Climate warming may also enhance this phenomenon in the future. Further explorations of the complex dynamics of this species are required, notably it remains unclear how successfully the various life stages survive winter temperatures. Further model refinements are also required to obtain more accurate estimates of box tree moth phenology. However, this is the first phenology model for box tree moth to be published, and our findings provide useful information for improving control of this pest.

Suggested Citation

  • Suppo, Christelle & Bras, Audrey & Robinet, Christelle, 2020. "A temperature- and photoperiod-driven model reveals complex temporal population dynamics of the invasive box tree moth in Europe," Ecological Modelling, Elsevier, vol. 432(C).
  • Handle: RePEc:eee:ecomod:v:432:y:2020:i:c:s0304380020302994
    DOI: 10.1016/j.ecolmodel.2020.109229
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380020302994
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2020.109229?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. Pollard, Ciarán P. & Griffin, Christine T. & Andrade Moral, Rafael de & Duffy, Catriona & Chuche, Julien & Gaffney, Michael T. & Fealy, Reamonn M. & Fealy, Rowan, 2020. "phenModel: A temperature-dependent phenology/voltinism model for a herbivorous insect incorporating facultative diapause and budburst," Ecological Modelling, Elsevier, vol. 416(C).
    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. Dennis, Emily B. & Kéry, Marc & Morgan, Byron J.T. & Coray, Armin & Schaub, Michael & Baur, Bruno, 2021. "Integrated modelling of insect population dynamics at two temporal scales," Ecological Modelling, Elsevier, vol. 441(C).
    2. Fatemeh Moradi Afrapoli & Mahmoud Mohammadi Sharif & Hasan Barimani Varandi & Masoumeh Shayanmehr, 2022. "Susceptibility of Cydalima perspectalis (Lepidoptera: Crambidae) larvae to some reduced-risk insecticides in laboratory bioassays," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 68(7), pages 253-262.
    3. Ledru, Léo & Garnier, Jimmy & Gallet, Christiane & Noûs, Camille & Ibanez, Sébastien, 2022. "Spatial structure of natural boxwood and the invasive box tree moth can promote coexistence," Ecological Modelling, Elsevier, vol. 465(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. Pappalardo, Sonia & Villa, María & Santos, Sónia A.P. & Benhadi-Marín, Jacinto & Pereira, José Alberto & Venturino, Ezio, 2021. "A tritrophic interaction model for an olive tree pest, the olive moth — Prays oleae (Bernard)," Ecological Modelling, Elsevier, vol. 462(C).

    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:432:y:2020:i:c:s0304380020302994. 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.