RESUMEN
Estimating population density as precise as possible is a key premise for managing wild animal species. This can be a challenging task if the species in question is elusive or, due to high quantities, hard to count. We present a new, mathematically derived estimator for population size, where the estimation is based solely on the frequency of genetically assigned parent-offspring pairs within a subsample of an ungulate population. By use of molecular markers like microsatellites, the number of these parent-offspring pairs can be determined. The study's aim was to clarify whether a classical capture-mark-recapture (CMR) method can be adapted or extended by this genetic element to a genetic-based capture-mark-recapture (g-CMR). We numerically validate the presented estimator (and corresponding variance estimates) and provide the R-code for the computation of estimates of population size including confidence intervals. The presented method provides a new framework to precisely estimate population size based on the genetic analysis of a one-time subsample. This is especially of value where traditional CMR methods or other DNA-based (fecal or hair) capture-recapture methods fail or are too difficult to apply. The DNA source used is basically irrelevant, but in the present case the sampling of an annual hunting bag is to serve as data basis. In addition to the high quality of muscle tissue samples, hunting bags provide additional and essential information for wildlife management practices, such as age, weight, or sex. In cases where a g-CMR method is ecologically and hunting-wise appropriate, it enables a wide applicability, also through its species-independent use.
RESUMEN
In the majority of socially monogamous bird species, females have offspring sired by males other than their social mate as the result of extra-pair copulations. While it is widely recognised that there is considerable variation in the frequency of extra-pair paternity between species, between populations of a species and between individuals of a population, determinants of this variation are surprisingly difficult to establish. With respect to individual variation within a population, it is an important step to test for male and female correlates of cuckoldry to better understand the patterns as well as the adaptive significance of extra-pair mating behaviour. Here, we analysed patterns of extra-pair paternity in relation to male age, female age and their interaction in the great tit Parus major, a socially monogamous passerine with a moderate frequency of extra-pair paternity. Based on a large sample of 316 genotyped first broods from five successive years, we failed to demonstrate interaction effects of male and female age on both the proportion of extra-pair offspring and the likelihood that at least one extra-pair offspring is present within a brood. However, both the proportion of extra-pair offspring and the likelihood of paternity loss were higher for yearling as compared to older males, while this was not the case for yearling vs. older females. Furthermore, the proportion of extra-pair offspring within a brood decreased with increasing age of the attending male in within-individual analyses. We found a comparable effect also for attending females in within-individual analyses, but only when excluding two individuals with 100% extra-pair paternity. A female (extra-pair) mating preference for older males and/or a limited ability of yearling males to prevent cuckoldry in their broods could explain these age-related patterns of paternity loss. Effect sizes, however, were not particularly large and substantial residual variation within age categories suggests the importance of further yet unidentified determinants of variation in paternity loss in the study population.