| Literature DB >> 32968190 |
Naerhulan Halimubieke1, Krisztina Kupán2, José O Valdebenito3, Vojtěch Kubelka3,4,5,6, María Cristina Carmona-Isunza3,7, Daniel Burgas8, Daniel Catlin9, James J H St Clair10, Jonathan Cohen11, Jordi Figuerola12, Maï Yasué13, Matthew Johnson14, Mauro Mencarelli15, Medardo Cruz-López16, Michelle Stantial11, Michael A Weston17, Penn Lloyd18, Pinjia Que19,20,21,22, Tomás Montalvo23, Udita Bansal24, Grant C McDonald25,26, Yang Liu27, András Kosztolányi25, Tamás Székely3,4,19,27.
Abstract
When individuals breed more than once, parents are faced with the choice of whether to re-mate with their old partner or divorce and select a new mate. Evolutionary theory predicts that, following successful reproduction with a given partner, that partner should be retained for future reproduction. However, recent work in a polygamous bird, has instead indicated that successful parents divorced more often than failed breeders (Halimubieke et al. in Ecol Evol 9:10734-10745, 2019), because one parent can benefit by mating with a new partner and reproducing shortly after divorce. Here we investigate whether successful breeding predicts divorce using data from 14 well-monitored populations of plovers (Charadrius spp.). We show that successful nesting leads to divorce, whereas nest failure leads to retention of the mate for follow-up breeding. Plovers that divorced their partners and simultaneously deserted their broods produced more offspring within a season than parents that retained their mate. Our work provides a counterpoint to theoretical expectations that divorce is triggered by low reproductive success, and supports adaptive explanations of divorce as a strategy to improve individual reproductive success. In addition, we show that temperature may modulate these costs and benefits, and contribute to dynamic variation in patterns of divorce across plover breeding systems.Entities:
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Year: 2020 PMID: 32968190 PMCID: PMC7511398 DOI: 10.1038/s41598-020-72521-6
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379