Anthrax is a disease of wildlife, livestock and humans predominantly affecting low and 68 middle-income countries 2,4,5 . , suggesting a broad sub-Saharan distribution (Fig. 1) Table S1). 106In TNP we detected Bcbva DNA in 81 carcasses (40%; Fig ( Fig. 2A). We determined Bcbva prevalence within and outside the anthrax invariably led to a clearly reduced survival probability of communities (Fig. 4). 199For example, 76/84 models resulted in extirpation probability higher than 50%, while the 200 model which we consider the most realistic (community size 60, maximum age 46 years 201 and inter birth interval 6 years) resulted in an extirpation probability of 89% (Fig. 4). Our human-borne infectious diseases continues to rise 23,26,27 . 206

Chimpanzees possess a large number of behavioral and cultural traits among nonhuman species. The “disturbance hypothesis” predicts that human impact depletes resources and disrupts social learning processes necessary for behavioral and cultural transmission. We used a dataset of 144 chimpanzee communities, with information on 31 behaviors, to show that chimpanzees inhabiting areas with high human impact have a mean probability of occurrence reduced by 88%, across all behaviors, compared to low-impact areas. This behavioral diversity loss was evident irrespective of the grouping or categorization of behaviors. Therefore, human impact may not only be associated with the loss of populations and genetic diversity, but also affects how animals behave. Our results support the view that “culturally significant units” should be integrated into wildlife conservation.

Large‐scale genomic studies of wild animal populations are often limited by access to high‐quality DNA. Although noninvasive samples, such as faeces, can be readily collected, DNA from the sample producers is usually present in low quantities, fragmented, and contaminated by microorganism and dietary DNAs. Hybridization capture can help to overcome these impediments by increasing the proportion of subject DNA prior to high‐throughput sequencing. Here we evaluate a key design variable for hybridization capture, the number of rounds of capture, by testing whether one or two rounds are most appropriate, given varying sample quality (as measured by the ratios of subject to total DNA). We used a set of 1,780 quality‐assessed wild chimpanzee (Pan troglodytes schweinfurthii) faecal samples and chose 110 samples of varying quality for exome capture and sequencing. We used multiple regression to assess the effects of the ratio of subject to total DNA (sample quality), rounds of capture and sequencing effort on the number of unique exome reads sequenced. We not only show that one round of capture is preferable when the proportion of subject DNA in a sample is above ~2%–3%, but also explore various types of bias introduced by capture, and develop a model that predicts the sequencing effort necessary for a desired data yield from samples of a given quality. Thus, our results provide a useful guide and pave a methodological way forward for researchers wishing to plan similar hybridization capture studies.

Graphical Abstract Highlights d Bonobos and gorillas had stronger looking impulses compared to chimpanzees d Young apes looked longest at camera traps compared to mature individuals d Presence of a research site or conspecifics reduced the duration of looking d Both social and environmental factors affect great ape curiosity in the wild In Brief Kalan et al. use a large-scale field experiment to assess the reaction of wild great apes toward a novel object: camera trap devices. Bonobos show the strongest looking impulse and are more neophobic than either gorillas or chimpanzees. Additional social and environmental effects on reactions demonstrate the complexities of animal curiosity.

Monitoring population size and growth over time is vital for the conservation of endangered species. Mountain gorillas Gorilla beringei beringei remain in two small populations that span the borders of the Democratic Republic of Congo, Rwanda and Uganda. Each population contains two subpopulations that receive differing levels of protection: the monitored groups are visited daily by park staff and researchers and can be counted by sight, whereas the number and growth rate of unmonitored gorillas must be estimated indirectly. Here, we re-analyze published data from a survey in 2010 combined with new results from a survey conducted during two sampling occasions in 2015 and 2016 to estimate mountain gorilla abundance and growth in the Virunga Massif between 2010 and 2016. Using genetic analysis of non-invasively collected samples and two capture-markrecapture estimates, we estimated that the 186 detected genotypes represented 221 (95% credible interval: 204-243) to 251 (205-340) unmonitored gorillas in 2016. Together with the 418 monitored gorillas, the overall population of the Virunga Massif thus reached 639 (622-661) to 669 (623-758) individuals. We estimated the growth of the entire Virunga Massif population at about 3% per year, but determined that the growth of the monitored gorillas (4.4%) mainly drove that increase. In contrast, the trend of the unmonitored subpopulation could not be determined with confidence because both models provided 95% CI that encompassed zero: 0.5% per year (À0.7% to +1.7%) and 1.1% (À2.7% to +4.4%). While the overall growth rate represents a rare success story for primate conservation, our results highlight the need for greater protection of unmonitored gorillas.