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Integrated modelling of insect population dynamics at two temporal scales

Author

Listed:
  • Dennis, Emily B.
  • Kéry, Marc
  • Morgan, Byron J.T.
  • Coray, Armin
  • Schaub, Michael
  • Baur, Bruno

Abstract

Population size of species with birth-pulse life-cycles varies both within and between seasons, but most population dynamics models assume that a population can be characterised adequately by a single number within a season. However, within-season dynamics can sometimes be too substantial to be ignored when modelling dynamics between seasons. Typical examples are insect populations or migratory animals. Numerous models for only between-season dynamics exist, but very few have combined dynamics at both temporal scales.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:ecomod:v:441:y:2021:i:c:s0304380020304695
    DOI: 10.1016/j.ecolmodel.2020.109408
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    References listed on IDEAS

    as
    1. P. Besbeas & B.J.T. Morgan, 2019. "Exact inference for integrated population modelling," Biometrics, The International Biometric Society, vol. 75(2), pages 475-484, June.
    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. Emily B. Dennis & Byron J. T. Morgan & Stephen N. Freeman & David B. Roy & Tom Brereton, 2016. "Dynamic Models for Longitudinal Butterfly Data," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 21(1), pages 1-21, March.
    4. Emily B. Dennis & Byron J. T. Morgan & Stephen N. Freeman & Tom M. Brereton & David B. Roy, 2016. "A generalized abundance index for seasonal invertebrates," Biometrics, The International Biometric Society, vol. 72(4), pages 1305-1314, December.
    5. Wildemeersch, Matthias & Franklin, Oskar & Seidl, Rupert & Rogelj, Joeri & Moorthy, Inian & Thurner, Stefan, 2019. "Modelling the multi-scaled nature of pest outbreaks," Ecological Modelling, Elsevier, vol. 409(C), pages 1-1.
    6. Panagiotis Besbeas & Byron J. T. Morgan, 2020. "A general framework for modeling population abundance data," Biometrics, The International Biometric Society, vol. 76(1), pages 281-292, March.
    7. Eleni Matechou & Stephen N. Freeman & Richard Comont, 2018. "Caste-Specific Demography and Phenology in Bumblebees: Modelling BeeWalk Data," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 23(4), pages 427-445, December.
    8. William L. Kendall & Rhema Bjorkland, 2001. "Using Open Robust Design Models to Estimate Temporary Emigration from Capture—Recapture Data," Biometrics, The International Biometric Society, vol. 57(4), pages 1113-1122, December.
    9. P. Besbeas & J.‐D. Lebreton & B. J. T. Morgan, 2003. "The efficient integration of abundance and demographic data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 52(1), pages 95-102, January.
    10. P. Besbeas & S. N. Freeman & B. J. T. Morgan & E. A. Catchpole, 2002. "Integrating Mark–Recapture–Recovery and Census Data to Estimate Animal Abundance and Demographic Parameters," Biometrics, The International Biometric Society, vol. 58(3), pages 540-547, September.
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