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Condition- and context-dependent variation of sexual dimorphism across lizard populations at different spatial scales

Authors :
Martina Muraro
Stéphanie Sherpa
Benedetta Barzaghi
Pierluigi Bombi
Danilo Borgatti
Viola Di Canio
Andrea Dalpasso
Mattia Falaschi
Benedetta Gambioli
Raoul Manenti
Silvio Marta
Paolo Momigliano
Veronica Nanni
Claudio Pardo
Elia Lo Parrino
Stefano Scali
Federico Storniolo
Leonardo Vignoli
Marco A. L. Zuffi
Roberto Sacchi
Daniele Salvi
Gentile Francesco Ficetola
Source :
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

Abstract The evolution of sexual dimorphism (SD) is driven by intricate interplays between sexual and natural selection. When it comes to SD variation within populations, however, environmental factors play a major role. Sexually selected traits are expected to be strongly dependent on individual body condition, which is influenced by the local environment that individuals experience. As a consequence, the degree of SD may also depend on resource availability. Here, we investigated the potential drivers of SD expression at two sexually dimorphic morphometric traits, body size (snout vent length) and head shape (head geometric morphometrics), in the Italian wall lizard (Podarcis siculus). We assessed the existence of condition- and context-dependent SD across ten islands of the Aeolian archipelago (southern Italy), at within- and among-population scales. We observed strong geographical variation of SD among islands, and tested three potential SD predictors related to resource availability (individual body condition, ecosystem productivity, temperature). Body condition and ecosystem productivity were the main drivers of body size SD variation, and body condition was also the main driver for head shape SD. Our results highlight that the expression of SD in the Italian wall lizard is both condition- and context-dependent. These results are congruent at within- and among-populations scales highlighting that spatial multi-scale analysis represents a useful approach to understand patterns of SD expression.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
20452322
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.34e11979f84cb3bd4d4075774b7806
Document Type :
article
Full Text :
https://doi.org/10.1038/s41598-022-21358-2