Back

The conspicuousness of the toxic Heliconius butterflies across time and habitat

Dalbosco Dell'Aglio, D.; Troscianko, J.; Stevens, M.; McMillan, W. O.; Jiggins, C. D.

2019-06-06 ecology
10.1101/662155 bioRxiv
Show abstract

Forests are a mosaic of light spectra, and colour signal efficiency might change in different light environments. Local adaptation in Heliconius butterflies is linked to microhabitat use and the colourful wing colour patterns may be adapted for signalling in different light environments. These toxic butterflies exhibit conspicuous colours as a warning to predators that they should be avoided, but also find and choose potential mates based on colour signals. The two selection pressures of predation and mate preference are therefore acting together. Colour conspicuousness should show habitat-specific contrast for the butterflies, which would facilitate detection and species identification. On the other hand, selection for signal stability would be stronger in the avian visual system. In this study we analysed the contrast of two Heliconius mimicry rings in their natural habitats under varying degrees of forest fragmentation and light conditions. We used digital image analyses and mapped the bird and butterfly vision colour space in order to examine whether warning colours have greater contrast and if they transmit a consistent signal across time of the day and habitat in a tropical forest. We tested conspicuousness using opponent colour channels against a natural green background. For avian vision, colours are generally very stable through time and habitat. For butterfly vision, there is some evidence that species are more contrasting in their own habitats, where conspicuousness is higher for red and yellow bands in the border and for white in the forest. Light environment affects Heliconius butterflies warning signal transmission to a higher degree through their own vision, but to a lesser degree through avian predator vision. This work provides insight into the use of colour signals in sexual and natural selection in the light of ecological adaptation.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Journal of Experimental Biology
259 papers in training set
Top 0.3%
12.4%
2
Ecology and Evolution
267 papers in training set
Top 0.4%
9.5%
3
Proceedings of the Royal Society B: Biological Sciences
393 papers in training set
Top 0.9%
6.6%
4
Royal Society Open Science
214 papers in training set
Top 0.6%
5.1%
5
Functional Ecology
61 papers in training set
Top 0.2%
4.7%
6
Frontiers in Ecology and Evolution
69 papers in training set
Top 0.2%
4.2%
7
Behavioral Ecology
36 papers in training set
Top 0.2%
3.2%
8
Evolutionary Ecology
15 papers in training set
Top 0.1%
3.2%
9
Ecological Monographs
21 papers in training set
Top 0.1%
2.7%
50% of probability mass above
10
Ecology
85 papers in training set
Top 0.8%
2.4%
11
Oikos
84 papers in training set
Top 0.7%
2.4%
12
Biotropica
17 papers in training set
Top 0.3%
2.1%
13
Animal Behaviour
73 papers in training set
Top 0.6%
2.1%
14
PeerJ
308 papers in training set
Top 4%
2.1%
15
Peer Community Journal
281 papers in training set
Top 2%
2.1%
16
Journal of Avian Biology
11 papers in training set
Top 0.1%
1.9%
17
PLOS ONE
5266 papers in training set
Top 47%
1.9%
18
Journal of Animal Ecology
75 papers in training set
Top 1.0%
1.7%
19
Ecological Entomology
13 papers in training set
Top 0.2%
1.7%
20
Molecular Ecology
336 papers in training set
Top 3%
1.5%
21
Oecologia
28 papers in training set
Top 0.4%
1.5%
22
Scientific Reports
3612 papers in training set
Top 62%
1.3%
23
BMC Ecology and Evolution
51 papers in training set
Top 1.0%
1.1%
24
Ibis
11 papers in training set
Top 0.2%
1.1%
25
Marine Ecology Progress Series
21 papers in training set
Top 0.4%
1.1%
26
Ecology Letters
135 papers in training set
Top 1%
1.1%
27
The American Naturalist
125 papers in training set
Top 2%
1.1%
28
Journal of Thermal Biology
14 papers in training set
Top 0.2%
1.0%
29
eLife
5828 papers in training set
Top 62%
1.0%
30
Biology Letters
76 papers in training set
Top 1%
1.0%