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Passive acoustic monitoring (PAM) is an effective remote sensing approach for sampling acoustically active animal species and is particularly useful for elusive, visually cryptic species inhabiting remote or inaccessible habitats. Key advantages of PAM are large spatial coverage and continuous, long‐term monitoring. In most cases, a signal detection algorithm is utilized to locate sounds of interest within long sequences of audio data. It is important to understand the demographic/contextual usage of call types when choosing a particular signal to use for detection. Sampling biases may result if sampling is restricted to subsets of the population, for example, when detectable vocalizations are produced only by a certain demographic class. Using the African forest elephant repertoire as a case study, we test for differences in call type usage among different age‐sex classes. We identified disproportionate usage by age‐sex class of four call types—roars, trumpets, rumbles, and combination calls. This differential usage of signals by demographic class has implications for the use of particular call types in PAM for this species. Our results highlight that forest elephant PAM studies that have used rumbles as target signals may have under‐sampled adult males. The addition of other call types to PAM frameworks may be useful to leverage additional population demographic information from these surveys. Our research exemplifies how an examination of a species' acoustic behavior can be used to better contextualize the data and results from PAM and to strengthen the resulting inference. [ABSTRACT FROM AUTHOR]

The impacts of human activities and climate change on animal populations often take considerable time before they are reflected in typical measures of population health such as population size, demography, and landscape use. Earlier detection of such impacts could enhance the effectiveness of conservation strategies, particularly for species with slow population growth. Passive acoustic monitoring is increasingly used to estimate occupancy and population size, but this tool can also monitor subtle shifts in behavior that might be early indicators of changing impacts. Here we use data from an acoustic grid, monitoring 1250 km2 of forest in northern Republic of Congo, to study how forest elephants (Loxodonta cyclotis) assess risk associated with human impacts across a landscape that includes a national park as well as active and inactive logging concessions. By quantifying emerging patterns of behavior at the population level, arising from individual-based decisions, we gain an understanding of how elephants perceive their landscape along an axis of human disturbance. Forest elephants in relatively undisturbed forests are active nearly equally day and night. However, they become more nocturnal when exposed to a perceived risk such as poaching. We assessed elephant perception of risk by monitoring changes in the likelihood of nocturnal vocal activity relative to differing levels of human activity. We show that logging is perceived to be a risk on moderate time and small spatial scales, but with little effect on elephant density. However, risk avoidance persisted in areas with relatively easy access to poachers and in more open habitats where poaching has historically been concentrated. Increased nocturnal activity is a common response in many animals to human intrusion on the landscape. Provided a species is acoustically active, passive acoustic monitoring can measure changes in human impact at early stages of such change, informing management priorities. [ABSTRACT FROM AUTHOR]

The complex social interactions in a family of white-fronted bee-eaters are governed by some simple rules of reproductive success The family has been the fundamental social unit throughout much of [...]

White-fronted bee-eaters live in a family-based society, and are rational decision-makers, comparing options and choosing the one that maximizes their interests. Reproductive decisions are affected by sex-based opinions. Males and females either breed or help other breeders. Approximately 86% of male helpers either have no possibility of breeding or would have undergone failed nesting attempts.

African forest elephants ( L oxodonta cyclotis) can be observed reliably in forest clearings but are difficult to observe directly in their otherwise forested habitat. To obtain data on population demography and activity cycles, conservation programmes commit considerable human and financial resources to observations at clearings. However, individual elephants spend only a tiny proportion of their annual activity budget in a particular clearing, and there may be demographic differences between daytime and nighttime populations. Using acoustic monitoring tools to assess elephant numbers continuously for long time periods at multiple clearings, we show that daytime-only observations are likely to be biased. In this study, (i) 79% of all elephant visitation occurred at night, (ii) sometimes large changes in nocturnal elephant numbers occurred without proportional changes in daytime elephant numbers, and (iii) there were indications that a different demographic of the population visits clearings at night compared with the day. These results suggest that acoustic monitoring should be incorporated into forest elephant monitoring programmes to augment direct observation and that more study is needed to explicitly identify any biases inherent in daytime-only observation. [ABSTRACT FROM AUTHOR]

Cooperative breeding behavior between parents and offspring among bee-eater birds may result from the delayed dispersal of sons, the random harassment of some younger breeders and the sons' penchant for assisting their parents. The birds' intolerance toward their male offspring is probably not a product of natural selection. However, the rebuttal view is that these behaviors derive from the social dynamics of individual birds within families. Hence parent-offspring conflict theory is an adjunct of inclusive fitness theory.