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Balasubramaniam, K. N.

Publications and source records attributed to Balasubramaniam, K. N..

2 recordsLinked to original sources

Intragroup sociality drives individual participation in intergroup competition in an urban-dwelling nonhuman primate

There is significant variability in the extent to which individuals from group-living species participate in intergroup competition (IGC) over resources. Such variability may be particularly robust in human-impacted environments, wherein anthropogenic resources may strongly impact intergroup overlap and competition. Examining the socio-ecological causal factors driving these differences can shed new lights on animals costs-benefits trade-offs driving engagement in such interactions. Here we use (peri)urban-dwelling rhesus macaques (Macaca mulatta) as model-systems to examine how individual differences in socio-ecological characteristics (i.e., animals sex, rank, and affiliative connections) may influence propensities to participate in IGC in anthropogenic environments. We found that participation was strongly influenced by individuals affiliative connections. Interestingly, monkeys with more coalitionary support partners had higher IGC participation, but this was more pronounced for individuals that are more peripheral in their proximity and multilayer affiliative networks, compared to more socially central individuals. Moreover, males and low-ranking individuals were more likely to participate in IGC. Our findings suggest that differential access to socio-ecological resources likely drives IGC participation. The evaluation of such inter-individual differences in socio-ecological flexibility and decision-making in dynamic environments is critical for future research related to the links between behavioural ecology, health outcomes, and human-wildlife co-existence in anthropogenic landscapes.

animal behavior and cognition↗

A comparative network approach to assess the social-ecological underpinnings of zoonotic outbreaks at human-wildlife interfaces

O_LIPandemics caused by wildlife-origin pathogens, like COVID-19, highlight the importance of understanding the ecology of zoonotic transmission and outbreaks among wildlife populations at human-wildlife interfaces. To-date, the relative effects of human-wildlife and wildlife-wildlife interactions on the likelihood of such outbreaks remain unclear. C_LIO_LIIn this study, we used social network analysis and epidemiological Susceptible Infected Recovered (SIR) models, to track zoonotic outbreaks through wild animals joint propensities to engage in social-ecological co-interactions with humans, and their social grooming interactions with conspecifics. C_LIO_LIWe collected behavioral and demographic data on 10 groups of macaques (Macaca spp.) living in (peri)urban environments across Asia. Outbreak sizes predicted by the SIR models were related to structural features of the social networks, and particular properties of individual animals connectivity within those networks. C_LIO_LIOutbreak sizes were larger when the first-infected animal was highly central, in both types of networks. Across host-species, particularly for rhesus and bonnet macaques, the effects of network centrality on outbreak sizes were stronger through macaques human co-interaction networks compared to grooming networks. C_LIO_LIOur findings, independent of pathogen-transmissibility, suggest that wildlife populations in the Anthropocene are vulnerable to zoonosis more so due to their propensities to aggregate around anthropogenic factors than their gregariousness with conspecifics. Thus, the costs of zoonotic outbreaks may outweigh the potential/perceived benefits of jointly interacting with humans to procure anthropogenic food. From One Health perspectives, animals that consistently interact with both humans and conspecifics across time and space are useful targets for disease spillover assessments and control. C_LI

ecology↗