IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0299598.html
   My bibliography  Save this article

Life tables in entomology: A discussion on tables’ parameters and the importance of raw data

Author

Listed:
  • Luca Rossini
  • Mario Contarini
  • Stefano Speranza
  • Serhan Mermer
  • Vaughn Walton
  • Frédéric Francis
  • Emanuele Garone

Abstract

Life tables are one of the most common tools to describe the biology of insect species and their response to environmental conditions. Although the benefits of life tables are beyond question, we raise some doubts about the completeness of the information reported in life tables. To substantiate these doubts, we consider a case study (Corcyra cephalonica) for which the raw dataset is available. The data suggest that the Gaussian approximation of the development times which is implied by the average and standard error usually reported in life tables does not describe reliably the actual distribution of the data which can be misleading and hide interesting biological aspects. Furthermore, it can be risky when life table data are used to build models to predict the demographic changes of the population. The present study highlights this aspect by comparing the impulse response generated by the raw data and by its Gaussian approximation based on the mean and the standard error. The conclusions of this paper highlight: i) the importance of adding more information to life tables and, ii) the role of raw data to ensure the completeness of this kind of studies. Given the importance of raw data, we also point out the need for further developments of a standard in the community for sharing and analysing data of life tables experiments.

Suggested Citation

  • Luca Rossini & Mario Contarini & Stefano Speranza & Serhan Mermer & Vaughn Walton & Frédéric Francis & Emanuele Garone, 2024. "Life tables in entomology: A discussion on tables’ parameters and the importance of raw data," PLOS ONE, Public Library of Science, vol. 19(3), pages 1-23, March.
  • Handle: RePEc:plo:pone00:0299598
    DOI: 10.1371/journal.pone.0299598
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0299598
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0299598&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0299598?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. Volker Grimm & Alice S. A. Johnston & H.-H. Thulke & V. E. Forbes & P. Thorbek, 2020. "Three questions to ask before using model outputs for decision support," Nature Communications, Nature, vol. 11(1), pages 1-3, December.
    2. Rossini, Luca & Contarini, Mario & Severini, Maurizio & Speranza, Stefano, 2020. "Reformulation of the Distributed Delay Model to describe insect pest populations using count variables," Ecological Modelling, Elsevier, vol. 436(C).
    3. Rossini, Luca & Bono Rosselló, Nicolás & Speranza, Stefano & Garone, Emanuele, 2021. "A general ODE-based model to describe the physiological age structure of ectotherms: Description and application to Drosophila suzukii," Ecological Modelling, Elsevier, vol. 456(C).
    4. Xiaojuan Zhang & Yongxiu Zhou & Peihao Peng & Guoyan Wang, 2022. "A Novel Multimodal Species Distribution Model Fusing Remote Sensing Images and Environmental Features," Sustainability, MDPI, vol. 14(21), pages 1-12, October.
    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. Rossini, Luca & Bono Rosselló, Nicolás & Benhamouche, Ouassim & Contarini, Mario & Speranza, Stefano & Garone, Emanuele, 2025. "A general DDE framework to describe insect populations: Why delays are so important?," Ecological Modelling, Elsevier, vol. 499(C).
    2. 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).
    3. Gerling, Charlotte & Drechsler, Martin & Keuler, Klaus & Leins, Johannes A. & Radtke, Kai & Schulz, Björn & Sturm, Astrid & Wätzold, Frank, 2021. "Modelling the cost-effective spatio-temporal allocation of conservation measures in agricultural landscapes facing climate change," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242352, Verein für Socialpolitik / German Economic Association.
    4. An, Li & Grimm, Volker & Sullivan, Abigail & Turner II, B.L. & Malleson, Nicolas & Heppenstall, Alison & Vincenot, Christian & Robinson, Derek & Ye, Xinyue & Liu, Jianguo & Lindkvist, Emilie & Tang, W, 2021. "Challenges, tasks, and opportunities in modeling agent-based complex systems," Ecological Modelling, Elsevier, vol. 457(C).
    5. Gerling, Charlotte & Schöttker, Oliver & Hearne, John, 2022. "Irreversible and partly reversible investments in the optimal reserve design problem: the role of flexibility under climate change," MPRA Paper 112089, University Library of Munich, Germany.
    6. Drechsler, Martin & Wätzold, Frank & Grimm, Volker, 2022. "The hitchhiker's guide to generic ecological-economic modelling of land-use-based biodiversity conservation policies," Ecological Modelling, Elsevier, vol. 465(C).
    7. Planque, Benjamin & Aarflot, Johanna M. & Buttay, Lucie & Carroll, JoLynn & Fransner, Filippa & Hansen, Cecilie & Husson, Bérengère & Langangen, Øystein & Lindstrøm, Ulf & Pedersen, Torstein & Primice, 2022. "A standard protocol for describing the evaluation of ecological models," Ecological Modelling, Elsevier, vol. 471(C).
    8. Rossini, Luca & Bono Rosselló, Nicolás & Speranza, Stefano & Garone, Emanuele, 2021. "A general ODE-based model to describe the physiological age structure of ectotherms: Description and application to Drosophila suzukii," Ecological Modelling, Elsevier, vol. 456(C).
    9. Will, Meike & Groeneveld, Jürgen & Lenel, Friederike & Frank, Karin & Müller, Birgit, 2023. "Determinants of Household Vulnerability in Networks with Formal Insurance and Informal Risk-Sharing," Ecological Economics, Elsevier, vol. 212(C).
    10. Pierre, Jean-Sébastien, 2023. "Ecological forecasting models: Accuracy versus decisional quality," Ecological Modelling, Elsevier, vol. 482(C).

    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:plo:pone00:0299598. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.