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phenModel: A temperature-dependent phenology/voltinism model for a herbivorous insect incorporating facultative diapause and budburst

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  • Pollard, Ciarán P.
  • Griffin, Christine T.
  • Andrade Moral, Rafael de
  • Duffy, Catriona
  • Chuche, Julien
  • Gaffney, Michael T.
  • Fealy, Reamonn M.
  • Fealy, Rowan

Abstract

A comprehensive phenology/voltinism model was developed for Phratora vulgatissima, an important pest of bioenergy crops. The model, phenModel, was developed based on development times of different life cycle stages (eggs, larvae, pupae, pre-oviposition, oviposition, sexual maturation) obtained from constant temperature laboratory experiments. As part of this study, a number of linear and non-linear models which describe the temperature-dependent development rate (inverse of development time) for each of the different life cycle stages were fitted. Based on the criteria of model parsimony and model fit, the non-linear Lactin-2 model was chosen as the optimum model to describe temperature-driven development in P. vulgatissima. To account for the variation in development times between individuals, an important but often ignored aspect in phenology models, a number of stochastic models (2- and 3- parameter Weibull and logistic models) were evaluated, based on the assumption that normalised development times conform to a similar shaped ('same shape') distribution. Novel aspects of the phenology model include the incorporation of a biologically relevant biofix, based on a budburst model for Salix viminalis, and a photoperiod threshold to induce facultative diapause. The model, which is written in R for accessibility, requires inputs of daily minimum and maximum temperature and site latitude and produces outputs describing the timing of completion of developmental stages for specified proportions of the population. It was evaluated against available field data and found to largely reproduce the observations providing a measure of its potential utility. A key component of the model allows for a sensitivity analysis of the model parameters. The model is structured so that it can easily be adapted for other leaf-feeding beetles which display a facultative reproductive diapause cued by photoperiod, and where the onset of oviposition is dependent on budburst, assuming relevant life cycle stage parameters are available.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:ecomod:v:416:y:2020:i:c:s0304380019304181
    DOI: 10.1016/j.ecolmodel.2019.108910
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    1. Wendy B. Foden & Bruce E. Young & H. Resit Akçakaya & Raquel A. Garcia & Ary A. Hoffmann & Bruce A. Stein & Chris D. Thomas & Christopher J. Wheatley & David Bickford & Jamie A. Carr & David G. Hole &, 2019. "Climate change vulnerability assessment of species," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 10(1), January.
    2. In Chang Hwang & Richard S. J. Tol & Marjan W. Hofkes, 2019. "Active Learning and Optimal Climate Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1237-1264, August.
    3. Anna Jönsson & Susanne Harding & Paal Krokene & Holger Lange & Åke Lindelöw & Bjørn Økland & Hans Ravn & Leif Schroeder, 2011. "Modelling the potential impact of global warming on Ips typographus voltinism and reproductive diapause," Climatic Change, Springer, vol. 109(3), pages 695-718, December.
    4. Khalidullin O, 2019. "Arable Land and Climate," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 21(5), pages 16163-16164, October.
    5. Gareth A. S. Edwards, 2019. "Coal and climate change," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 10(5), September.
    6. Stuart P.M. Mackintosh, 2019. "Central Banking and Climate Change," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 20(4), pages 25-42, October.
    7. Marco Letta & Richard S. J. Tol, 2019. "Weather, Climate and Total Factor Productivity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(1), pages 283-305, May.
    8. In Chang Hwang & Richard S. J. Tol & Marjan W. Hofkes, 2019. "Active Learning and Optimal Climate Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1237-1264, August.
    9. Steve Thomas, 2019. "The UK National Energy and Climate Plan," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 0(1), pages 173-179.
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    1. Rincon, Diego F. & Esch, Evan D. & Gutierrez-Illan, Javier & Tesche, Melissa & Crowder, David W., 2024. "Predicting insect population dynamics by linking phenology models and monitoring data," Ecological Modelling, Elsevier, vol. 493(C).
    2. 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).
    3. Pirtskhalava-Karpova, Nana & Karpov, Aleksandr & Trubin, Aleksei & Koreň, Milan & Blaženec, Miroslav & Holuša, Jaroslav & Jakuš, Rastislav, 2024. "Spruce bark beetle phenological modelling and drought risk within framework of TANABBO II model," Ecological Modelling, Elsevier, vol. 496(C).
    4. 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).

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