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Temperature-body size responses in insects: a case study of British Odonata

  1. Body size is highly correlated with physiological traits, fitness, and trophic interactions. These traits are subject to change if there are widespread reductions of body size with warming temperatures, which is suggested as one of the “universal” ecological responses to climate change. However, general patterns of body size response to temperature in insects have not yet emerged.
  2. To address this knowledge gap, we paired the wing length (as a proxy for body size) of 5,331 museum specimens of 14 species of British Odonata with historical temperature data. Three sets of analyses were performed 1) a regression analysis to test for a relationship between wing length and mean seasonal temperature within species and subsequent comparisons across species and suborders, 2) an investigation of whether the body size of species has an effect on sensitivity to warming temperature and, 3) a linear-mixed effects model to investigate factors that potentially affect temperature-size response.
  3. The regression analysis indicated that wing length is negatively correlated with mean seasonal temperatures for Zygoptera, while, Anisoptera showed no significant correlation with temperature.
  4. There is a significant decline in wing length of all Zygoptera (but not Anisoptera) with collection date, suggesting that individuals emerging later in the season are smaller.
  5. Life-cycle type was not important for predicting wing length-temperature responses, whereas sex, species and suborder were indicated as important factors affecting the magnitude of temperature-size responses in Odonata.
  6. Overall, wing lengths of Zygoptera are more sensitive to temperature and collection date than Anisoptera.

Data and Resources

Cite this as

Rungtip Wonglersak, Philip B. Fenberg, Peter G. Langdon, Stephen J. Brooks, Benjamin W. Price (2018). Dataset: Temperature-body size responses in insects: a case study of British Odonata. Natural History Museum Data Portal (data.nhm.ac.uk). https://doi.org/10.5519/0095579

Retrieved: 03:32 08 May 2021 (GMT)

Additional Info

Field Value
Author(s) Rungtip Wonglersak, Philip B. Fenberg, Peter G. Langdon, Stephen J. Brooks, Benjamin W. Price
Affiliation 1. Department of Ocean and Earth Sciences, University of Southampton, Southampton, SO14 3ZH, United Kingdom, 2. Department of Life Sciences, Natural History Museum, London, SW7 5BD, United Kingdom, 3. Department of Geography and Environment, University of Southampton, Southampton, SO17 1BJ, United Kingdom
Temporal extent 1900-1970
Last updated June 26, 2020
Last resource update June 26, 2020 (Linear mixed effects model:Model selection.R)
Created November 16, 2018
License Creative Commons Attribution Share-Alike