Abstract
The coexistence of distinct alternative mating strategies (AMS) is often explained by mechanisms involving trade-offs between reproductive traits and lifetime fitness; yet their relative importance remains poorly understood. Here, we used an established individual-based, spatially explicit model to simulate bull trout (Salvelinus confluentus) in the Skagit River (Washington, USA) and investigated the influence of female mating preference, sneaker-specific mortality, and variation in age-at-maturity on AMS persistence using global sensitivity analyses and boosted regression trees. We assumed that two genetically fixed AMS coexisted within the population: sneaker males (characterized by younger age-at-maturity, greater AMS-specific mortality, and lower reproductive fitness) and territorial males. After 300 years, variation in relative sneaker success in the system was explained by sneaker males' reproductive fitness (72%) and, to a lesser extent, the length of their reproductive lifespan (21%) and their proportion in the initial population (8%). However, under a wide range of parameter values, our simulated scenarios predicted the extinction of territorial males or their persistence in small, declining populations. Although these results do not resolve the coexistence of AMS in salmonids, they reinforce the importance of mechanisms reducing sneaker's lifetime reproductive success in favoring AMS coexistence within salmonid populations but also limit the prediction that, without any other selective mechanisms at play, strong female preference for mating with territorial males and differences in reproductive lifespan allow the stable coexistence of distinct AMS.
| Original language | English |
|---|---|
| Article number | e9965 |
| Pages (from-to) | e9965 |
| Journal | Ecology and Evolution |
| Volume | 13 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 2023 |
Funding
We thank Seattle City Light for providing empirical data to parameterize the simulation model. We thank the Distributed Graduate Seminar in Landscape Genetics for providing logistical support and early feedback for this research. We are grateful to Timothy Fernandes and Jonathan Miller for their contribution to the conceptualization of this research. Computational resources and support from the University of Montana's Griz Shared Computing Cluster (GSCC) contributed to this research (NSF award numbers 2018112 and 1925267).
| Funder number |
|---|
| 2018112, 1925267 |
Keywords
- CDMetaPOP
- Skagit River
- alternative mating tactics
- boosted regression trees
- global sensitivity approach
- individual-based spatially explicit model
- riverscape genetics
- salmonid
- simulation
- sneakers