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Effects of temperature on mating behaviour and mating success: a meta-analysis

Citation

Pilakouta, Natalie; Baillet, Anais (2022), Effects of temperature on mating behaviour and mating success: a meta-analysis, Dryad, Dataset, https://doi.org/10.5061/dryad.jwstqjqc8

Abstract

In light of global climate change, there is a pressing need to understand how populations will respond to rising temperatures. Understanding the effects of temperature changes on mating behaviour is particularly important, given its implications for population viability. To this end, we performed a meta-analysis of 53 studies to examine how temperature changes influence mating latency, choosiness, and mating success. We hypothesized that if higher temperatures make mate searching and mate assessment more costly due to elevated metabolism, this may lead to a reduction in mating latency and choosiness, thereby increasing overall mating success. We found no evidence for an overall effect of temperature on mating latency, choosiness, or mating success. There was an increase in mating success when animals were exposed to higher temperatures during mating trials, but not when they were exposed before mating trials. In addition, in a subset of studies that measured both mating latency and mating success, there was a strong negative relationship between the effect sizes for these traits. This suggests that a decrease in mating latency at higher temperatures was associated with an increase in mating success and vice versa. In sum, our meta-analysis provides new insights into the effects of temperature on mating patterns. The absence of a consistent directional effect of temperature on mating behaviours and mating success suggests it may be difficult to predict changes in the strength of sexual selection in natural populations in a warming world. Nevertheless, there is some evidence that (i) higher temperatures during mating may lead to an increase in mating success and that (ii) an increase in mating success is associated with a decrease in mating latency.

Methods

This is a meta-analysis of published studies identified using literature searches on Web of Science and Scopus.

Usage Notes

Microsoft Excel is required to open the spreadsheets. R is required to run the code.