Crickette Sanz

Wildlife conservation has traditionally focused on the maintenance of population size, preserving genetic diversity and protecting habitats, with success typically measured through stable or increasing population estimates, slower population declines, and reduced threats. However, preserving animal cultures and behavioural diversity is gaining recognition as important for conservation. This shift reflects growing awareness that cultural behaviours can contribute to the resilience and long‐term survivability of species, with some socially learned behaviours promoting a species' adaptive potential. Despite increasing public support and adoption of policies within this domain, questions persist about how cultural behaviours can be applied to conservation. Drawing on our collective expertise, we outline practical pathways to integrate animal culture into conservation decision‐making through a cross‐species framework. First, we describe how animal culture and behavioural diversity can be deployed in practice as conservation goals, conservation targets, and conservation tools. As conservation goals , they provide overall direction for conservation efforts, while as conservation targets , they serve as the specific units of focus to meet a conservation goal. These targets may be specific cultural behaviours or variants, the socio‐ecological conditions that support them, cultural diversity, or the processes that sustain cultural diversity within and across populations. As conservation tools , they can be invoked to conserve targets or more generally to meet a broader goal. For example, incorporating cultural behaviour as a conservation‐relevant characteristic when defining management units ( tool ) can be used to protect specific song dialects or foraging traditions in cetaceans ( target ), while simultaneously improving conservation outcomes by explicitly including culture in decision‐making ( goal ). Consequently, we show how culture‐based conservation goals, targets and tools are interconnected within conservation planning and decision making, and are actionable across taxa. By providing this toolkit we emphasise that there is no one‐size‐fits‐all approach to applying animal cultures to conservation and encourage practitioners to consider how our multidimensional framework can be tailored to their current and planned conservation efforts.

An increasing number of mpox cases caused by the monkeypox virus (MPXV; Orthopoxvirus monkeypox ), are reported in West and Central Africa, driven by frequent zoonotic spillovers into human populations that sometimes give rise to epidemic lineages. Designing mitigation strategies to reduce spillover requires a better understanding of the ecology underlying the zoonotic emergence of MPXV. Here, we show that orthopoxviruses, including MPXV, infect duikers, which are popular bushmeat in many mpox endemic regions. In bushmeat markets from the Democratic Republic of the Congo (DRC), we detected orthopoxvirus DNA in a Weyns's duiker ( Cephalophus weynsi ) and a common duiker ( Sylvicapra grimmia ) using PCR. High throughput sequencing (HTS) detected a small number of reads assigned to MPXV, and 25% of the genome of a close relative to the taterapox virus (TATV; Orthopoxvirus taterapox ), respectively. In the Taï National Park (TNP), Côte d’Ivoire, tissue samples from a Maxwell’s duiker ( Philantomba maxwellii ) carcass were also MPXV PCR positive, and 50% of the viral genome could be recovered. Suspecting scavenging as a route of exposure, we ran metabarcoding analyses on duiker faeces from TNP, which revealed that more than 21% contained non-duiker mammal DNA, including species linked to previous MPXV infections in this ecosystem. Revisiting western chimpanzee ( Pan troglodytes verus ) diet data from an mpox outbreak in TNP in 2017, supported an epidemiological link to duiker consumption.

Background: Gorillas are a group of African great apes with two species and four subspecies that are currently critically endangered or endangered. Previous studies that analysed the genetics of wild gorillas from non-invasive samples, such as faeces or hair, analysed short mitochondrial or nuclear markers, which may not reflect the wider nuclear genome. Recent technical advances in target capture hybridisation, enrich the endogenous DNA content of non-invasive samples, allowing contiguous genomic regions to be sequenced. Results: Here, we generated georeferenced genetic data from faecal and hair samples of 280 wild gorillas, sampled from three of the four gorilla subspecies, across large parts of their present-day distributions. With this expanded representation of gorilla genetic diversity in the wild, we detected three population clusters in western lowland gorillas, with the Sangha River and its affluents acting as significant barriers to gene flow. We reconstructed patterns of past population connectivity between western lowland gorillas in the north-eastern distribution range and Cross River gorillas, which may have been facilitated by a migration corridor also used by the Central and Nigeria-Cameroon chimpanzee subspecies. Finally, we predicted the geographic origins of wild-born gorillas, achieving a mean prediction error of 65 km, with a population-level resolution for mountain gorillas and some populations of western lowland gorillas. Conclusion: Our work characterises fine-scale population structure in western lowland gorillas, which will be informative for future conservation strategies. This proof of concept in predicting geographic locations of wild gorillas, will be useful for future applications to geolocalise trafficked or rescued gorillas.

We present Zamba, an open source Python package designed to streamline camera trap data processing through machine learning. Zamba supports inference and custom model training for species classification on videos and images, as well as depth estimation inference for videos.

Tropical rainforests are complex mosaics of different forests types, each with its own biodiversity and structure. Efforts to characterize and map diversity and composition of tropical forests are vital at both local and larger scales in order to improve conservation strategies and accurately monitor anthropogenic threats. However, despite advances in remote sensing, classifying and mapping forest types remains a significant challenge and remotely sensed classifications in the tropics often treat forests as a single category. Here, we used Sentinel-2 data, and a high-quality ground reference dataset, to map monodominant Gilbertiodendron dewevrei forest, a unique forest type in central Africa. We used a random forest classifier, and spectral, vegetation, and textural indices, to map G. dewevrei forest across the Sangha Trinational, a network of national parks in central Africa. The overall accuracy of our classification was 83% when evaluated against an independently sampled reference test dataset, successfully distinguishing this monodominant forest from the spectrally similar terre firme mixed forest present throughout much of the study area. The gray level co-occurrence matrix (GLCM) textural metrics proved the most important factors for distinguishing G. dewevrei forest, due to the homogenous canopy texture created by this monodominant species. In conclusion, our study illustrates that freely available Sentinel-2 data hold promise for mapping distinct forest types in tropical forests, particularly when they exhibit structural and textural differences, as seen in monodominant and mixed forests, and provided that high-quality ground reference data are available.

Chimpanzees were among the first animals recognized to have culture, and our understanding of the breadth of their cultural repertoire has grown significantly since the 1960s. Throughout their range, chimpanzee populations have come under increasing pressure, with their endangered status necessitating immediate and long-term conservation interventions. Recognizing the importance of diverse behavioural repertoires for chimpanzees’ survival, there has been a recent focus of conservation efforts on preserving their culturally transmitted behaviours and the environments in which they are exhibited. This article evaluates the practicality of developing conservation measures focused on chimpanzee culture. We highlight innovative conservation strategies aimed at integrating chimpanzee cultural behaviours into conservation policies. We review synergistic conservation initiatives led by the International Union for Conservation of Nature, the UN Convention on the Conservation of Migratory Species of Wild Animals and other international and local groups that share the goal of preserving chimpanzee populations and their cultural diversity. We underline how successful conservation implementation requires engagement and collaboration with a diverse group of interested or affected people. Finally, we provide recommendations aimed at guiding future efforts to incorporate animal cultures into conservation strategies. This article is part of the theme issue ‘Animal culture: conservation in a changing world’.

How populations adapt to their environment is a fundamental question in biology. Yet, we know surprisingly little about this process, especially for endangered species, such as nonhuman great apes. Chimpanzees, our closest living relatives, are particularly notable because they inhabit diverse habitats, from rainforest to woodland-savannah. Whether genetic adaptation facilitates such habitat diversity remains unknown, despite it having wide implications for evolutionary biology and conservation. By using newly sequenced exomes from 828 wild chimpanzees (388 postfiltering), we found evidence of fine-scale genetic adaptation to habitat, with signatures of positive selection in forest chimpanzees in the same genes underlying adaptation to malaria in humans. This work demonstrates the power of noninvasive samples to reveal genetic adaptations in endangered populations and highlights the importance of adaptive genetic diversity for chimpanzees.

Strontium isotope (⁸⁷Sr/⁸⁶Sr) analysis with reference to strontium isotope landscapes (Sr isoscapes) allows reconstructing mobility and migration in archaeology, ecology, and forensics. However, despite the vast potential of research involving ⁸⁷Sr/⁸⁶Sr analysis particularly in Africa, Sr isoscapes remain unavailable for the largest parts of the continent. Here, we measure the ⁸⁷Sr/⁸⁶Sr ratios in 778 environmental samples from 24 African countries and combine this data with published data to model a bioavailable Sr isoscape for sub-Saharan Africa using random forest regression. We demonstrate the efficacy of this Sr isoscape, in combination with other lines of evidence, to trace the African roots of individuals from historic slavery contexts, particularly those with highly radiogenic ⁸⁷Sr/⁸⁶Sr ratios uncommon in the African Diaspora. Our study provides an extensive African ⁸⁷Sr/⁸⁶Sr dataset which includes scientifically marginalized regions of Africa, with significant implications for the archaeology of the transatlantic slave trade, wildlife ecology, conservation, and forensics.