Infanticide and reproductive restraint in a polygynous social mammal

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Study Justification:
The study aims to investigate the reproductive behavior of alpha male chacma baboons and the potential countermeasures they employ to protect their offspring from infanticide by immigrant males. Understanding these dynamics is important for gaining insights into the evolution of social behavior and reproductive strategies in polygynous mammals.
Highlights:
– Alpha male chacma baboons experience high paternity certainty due to their uncontested access to estrus females.
– Infanticide by immigrant males is a significant threat to the offspring of alpha males.
– The study found that subordinate males obtained more reproductive opportunities than predicted by priority of access alone, suggesting that alpha males cede reproductive opportunities to subordinate males.
– The presence of other fathers as a result of alpha male concession reduces the vulnerability of alpha male infants to infanticidal attacks.
– The absence of surrogate fathers was associated with observed infanticide and an increased likelihood of takeover when alpha males with vulnerable infants were present.
Recommendations:
– Further research is needed to understand the specific mechanisms through which alpha males cede reproductive opportunities to subordinate males.
– Investigate the factors that influence the decision-making process of alpha males in choosing when to consort with receptive females.
– Explore the potential benefits and costs of alpha male concession in terms of reproductive success and overall fitness.
– Study the impact of the presence or absence of surrogate fathers on the survival and development of alpha male infants.
Key Role Players:
– Researchers specializing in primate behavior and reproductive strategies.
– Field assistants and data collectors for long-term observational studies.
– Wildlife conservationists and park rangers for the protection and monitoring of baboon populations.
– Policy makers and government officials responsible for implementing conservation measures and wildlife management strategies.
Cost Items for Planning Recommendations:
– Research equipment and supplies (e.g., GPS devices, camera traps, data recording tools).
– Fieldwork expenses (e.g., transportation, accommodation, food).
– Salaries and wages for researchers, field assistants, and data collectors.
– Data analysis and statistical software.
– Publication and dissemination of research findings (e.g., journal publication fees, conference attendance).
– Conservation and management initiatives to protect baboon populations and their habitats.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is relatively strong, but there are some areas for improvement. One actionable step to improve the evidence is to provide more details about the methods used to collect and analyze the data. This would enhance the transparency and replicability of the study. Additionally, including information about sample size and statistical significance would further strengthen the evidence. Finally, referencing previous studies or literature that support the findings would provide additional support for the conclusions drawn in the abstract.

Alpha male chacma baboons experience uncontested access to individual estrus females. Consequently, alpha male paternity certainty is high and underpins significant levels of infanticide by immigrant males that, in turn, has selected for male defense of infants. There is also, however, a high probability that alpha males will be absent during the period when their own offspring are vulnerable, suggesting selection for additional countermeasures. We use data from a long-term study to test the prediction that alpha male chacma baboons cede reproductive opportunities to subordinate males and that this leads to the presence of other fathers that can serve as a buffer against infanticidal attack. We found that subordinate males obtained significantly more conceptive opportunities than predicted by priority of access alone, and that this occurred because alpha males did not consort all receptive periods. There was no evidence that this was due to energetic constraint, large male cohorts, alpha male inexperience, or the competitive strength of queuing subordinates. The number of males who benefited from concession and the length of time that they were resident relative to those who did not benefit in this way greatly reduced the probability that infants of alpha males would face immigrant males without a surrogate father whose own offspring were vulnerable. The absence of such males was associated with observed infanticide as well as, unexpectedly, an increased likelihood of takeover when alpha males with vulnerable infants were present.

The data come from our main study troop (VT; Nmean = 39; range: 31–50) at the De Hoop Nature Reserve in the Western Cape Province of South Africa (21) and were collected over an 11-year period (March 1997 through February 2008). An additional datum on one alpha male’s reproductive success comes from a second, more recently habituated, study troop (BT; N ≈ 50). As part of a daily troop census, we recorded the reproductive condition of females and the identity, if any, of their consort partners. We used the cessation of monthly sexual swelling as evidence of conception, and identified as the father the male who had been the consort partner over the 7-day period (D-7 to D-1) preceding the deflation of the sexual skin (D-0) on the female’s last reproductive cycle. Given that mating behavior predicts paternity even in those baboon taxa where consort turnover is high (39, 40), the 10-day duration of ultimate consortships in conceptive cycles (19, 20), together with the absence of consort disruption and surreptitious copulation, lend added confidence to this behavioral determination of paternity. Males were assigned rank on the basis of ad libitum observations of aggression and spatial displacement. Data on male activity budgets come from both troops, sampled over an 18-month period (March 2002 through October 2004). Data were collected using 20-min continuous focal sampling (41) that yielded 1,692 focal samples (564 h). We used these to calculate the amount of time(s) a male allocated to each of the three key activities (resting, moving, and foraging). These data, expressed as proportions of the total budget, were analyzed using general linear mixed models (GLMM), assuming binomial errors. Statistical analyses were conducted using either R statistical software (42) or JMP 7.1 (43). In addition to our empirical data, we use a model that describes the conflict between female primates and alpha males over the extent of polyandrous mating (44). The basic assumptions of this are as follows. The primate group is multimale, containing a dominant male, subordinate males, and only one female in estrous at a time. We further assume that infanticide by males is an adaptive strategy so that protection from possible sires against infanticide is crucial for infant survival. For simplicity, the effect of all subordinate males has been combined into a single strongest subordinate male. We also assume that there is one outsider male interested in taking over the group, who is just as strong as the strongest subordinate male in the group. Pradhan and van Schaik (44) proposed that female fitness can be maximized by maximizing infant survival to weaning, whereas male fitness is maximized only when the male’s paternity probability (q) × infant survival is maximized. Based on this idea, and using the parameters described below, we can write equations for impact on female and male fitness as: where g(q) = impact on infant survival as a function of male paternity probability (q); l = impact on infant survival due to maternal efforts; a = relative strength of the alpha male; c/a = probability of takeover in which c is a constant; ξ = probability of takeover from inside; and d = probability that the defeated alpha male is available to defend infants. Note that Eq. 1 differs slightly from the master Eq. 2 in Pradhan and van Schaik (44). This takes account of the fact that the probability with which the alpha male is available to protect unweaned infants, generally constant and high, is unusually low for chacma baboons, and so needs to be factored into the model. We have also assumed that the probability of takeover and death, and the percentage of takeovers from the outside, are both external parameters (i.e., not under the control of the alpha male) or are at values that are optimal for him for other reasons.

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Based on the provided description, it is not clear how the information relates to innovations for improving access to maternal health. Could you please provide more specific details or clarify your request?
AI Innovations Description
Based on the provided description, the recommendation to improve access to maternal health would be to implement a system that ensures the presence of surrogate fathers for vulnerable infants when alpha males are absent. This can help protect infants from infanticidal attacks by immigrant males. The recommendation is based on the finding that subordinate males in the baboon troop obtained more reproductive opportunities than predicted by priority of access alone, indicating that alpha males cede reproductive opportunities to subordinate males. By having other fathers present, the probability of infants facing infanticidal attacks without a surrogate father is greatly reduced. This recommendation can be implemented by identifying and promoting the involvement of subordinate males in the care and protection of vulnerable infants when alpha males are not available.
AI Innovations Methodology
Based on the provided description, it seems that the focus is on understanding the reproductive behavior of alpha male chacma baboons and the potential impact on infant survival. While this information is interesting, it does not directly relate to improving access to maternal health. To provide recommendations for innovations to improve access to maternal health, we would need more information on the specific challenges and context related to maternal health.

However, I can provide a general methodology to simulate the impact of recommendations on improving access to maternal health:

1. Define the objectives: Clearly state the goals of the simulation, such as reducing maternal mortality rates, increasing access to prenatal care, or improving postnatal support.

2. Identify key variables: Determine the factors that affect access to maternal health, such as distance to healthcare facilities, availability of skilled healthcare providers, cultural beliefs and practices, socioeconomic factors, and availability of transportation.

3. Collect data: Gather relevant data on the identified variables. This can include demographic data, healthcare facility locations, population density, transportation infrastructure, and any other relevant information.

4. Develop a simulation model: Use the collected data to create a simulation model that represents the current state of access to maternal health. This can be done using statistical modeling, agent-based modeling, or other appropriate techniques.

5. Introduce recommendations: Identify potential recommendations or interventions that could improve access to maternal health. These could include increasing the number of healthcare facilities, training more healthcare providers, implementing transportation solutions, or addressing cultural barriers.

6. Simulate the impact: Modify the simulation model to incorporate the recommended interventions. Run the simulation to observe the potential impact on access to maternal health. This can be done by comparing key indicators before and after implementing the recommendations.

7. Analyze the results: Evaluate the simulation results to assess the effectiveness of the recommendations. Consider factors such as changes in maternal mortality rates, increased utilization of prenatal care, or improved postnatal outcomes.

8. Refine and iterate: Based on the analysis, refine the recommendations and iterate the simulation process if necessary. This can involve adjusting the parameters of the simulation model or exploring alternative interventions.

9. Communicate findings: Present the findings of the simulation study to relevant stakeholders, such as policymakers, healthcare providers, and community members. Use the results to inform decision-making and prioritize interventions that have the greatest potential for improving access to maternal health.

It’s important to note that this methodology is a general framework and can be tailored to specific contexts and challenges related to maternal health.

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