| Literature DB >> 26473046 |
Raul Bonal1, Marisa Hernández2, Josep M Espelta3, Alberto Muñoz4, José M Aparicio2.
Abstract
The complexity of animal life histories makes it difficult to predict the consequences of climate change on their populations. In this paper, we show, for the first time, that longer summer drought episodes, such as those predicted for the dry Mediterranean region under climate change, may bias insect population sex ratio. Many Mediterranean organisms, like the weevil Curculio elephas, become active again after summer drought. This insect depends on late summer rainfall to soften the soil and allow adult emergence from their underground refuges. We found that, as in many protandric species, more C. elephas females emerged later in the season. Male emergence timing was on average earlier and also more dependent on the beginning of late summer rainfall. When these rains were delayed, the observed weevil sex ratio was biased towards females. So far, the effects of global warming on animal sex ratios has been reported for temperature-dependent sex determination in reptiles. Our results show that rainfall timing can also bias the sex ratio in an insect, and highlight the need for keeping a phenological perspective to predict the consequences of climate change. We must consider not just the magnitude of the predicted changes in temperature and rainfall but also the effects of their timing.Entities:
Keywords: climate change; drought; insects; sex ratio
Year: 2015 PMID: 26473046 PMCID: PMC4593680 DOI: 10.1098/rsos.150198
Source DB: PubMed Journal: R Soc Open Sci ISSN: 2054-5703 Impact factor: 2.963
Results from the GLMMs assessing the relationships between: (a) the total number of weevils trapped each year and total amount of rain recorded between weeks 3 and 10 of the study period each year (two weeks before the first and the last weevil emergences). (b) The number of males collected each week at the emergence traps and the number of weeks after the first weevil emergence. (c) The number of females collected each week at the emergence traps and the number of weeks after the first weevil emergence. The first week of the study period started on 4 August and the first weevil emergences were registered on week 5 (starting on 2 September) in all years. All models assume a Poisson distribution of errors and a logit link function. Italicized values indicate significant relationships.
| variable | estimate | s.e. | ||
|---|---|---|---|---|
| (a) total number of weevils trapped | ||||
| rain recorded between weeks 3 and 10 of the study period | 0.005 | 0.001 | 4.52 | < |
| (b) total number of males trapped | ||||
| number of weeks after the first weevil emergence | −0.01 | 0.02 | −0.62 | 0.53 |
| (c) total number of females trapped | ||||
| number of weeks after the first weevil emergence | 0.10 | 0.02 | 3.90 | < |
Figure 1.Bar plot depicting the number of males (grey bars) and females (black bars) (left y-axis) that emerged in each week of the study period (pooling together the five study years). Weevil emergence started on week 5 (1–7 September) and continued until week 12 (20–26 October). The right y-axis shows the temporal variability of the sex ratio [n males/(n males+n females)] (black dots and dashed line) calculated on the number of males and females collected in the emergence traps from weeks 5 to 12.
Results from the GLMMs assessing the relationships between: (a) sex ratio (males/males+females) recorded in the emergence traps each week and the number of weeks after the first weevil emergence. (b) The overall sex ratio recorded each year at the emergence traps and the date of the first rainfall of late summer. The first weevil emergences were registered on the week 5 of the study period (starting on 2 September). The date of the first rainfall of late summer was considered as the date after 4 August with a daily precipitation of at least 1 l m−2. All models assume a binomial distribution of errors and a logit link function. Italicized values indicate significant relationships.
| variable | estimate | s.e. | ||
|---|---|---|---|---|
| (a) sex ratio | ||||
| number of weeks after the beginning of the emergence period | −0.14 | 0.03 | −3.78 | < |
| (b) sex ratio | ||||
| date of the first rainfall of late summer | −0.02 | 0.008 | −2.4 | |
Figure 2.Relationship between the date of the beginning of late summer rains (x-axis) and male (white squares) and female (black dots) emergence dates (y-axis) in the five study years. The date of the beginning of late summer rains for each year corresponds to the date after 4 August in which at least a daily precipitation of 1 l m−2 was recorded. Male and female mean±s.e. emergence dates for each year were calculated on the mean emergence dates registered for each sex at the emergence traps. The continuous and dashed lines represent the relationship between the date of the beginning of late summer rain and female and male emergence dates, respectively. In all cases, Julian dates are used, 1 January being day 1. On both the y-axis and the x-axis, the correspondence with the ordinary date format is provided.
Figure 3.Relationship between the date of the beginning of late summer rains (x-axis) and sex ratio [n males/(n males+n females)] in the five study years. The date of the beginning of late summer rains for each year corresponds to the date after 4 August in which at least a daily precipitation of 1 l m−2 was recorded. Sex ratio (mean±s.e.) was calculated on the sex ratios recorded in the emergence traps each year. For the date of the beginning of late summer rains, Julian dates are used, 1 January being day 1; the correspondence with the ordinary date format is provided.
Figure 4.Rainfall probability along the weevil emergence period. The probability (y-axis) was calculated on the historical records (1920–2012) of the local meteorological station. It corresponds to the proportion of years in which at least a daily precipitation of 1 l m−2 was recorded in the two weeks previous to each of the weeks of the weevil emergence period. Weevil emergence period (x-axis) started on week 5 (1–7 September) and continued until week 12 (20–26 October).