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Spatiotemporal habitat use of large African herbivores across a conservation border

The rapid expansion of human populations in East Africa increases human-wildlife interactions, particularly along borders of protected areas (PAs). This development calls for a better understanding of how humanmodified landscapes facilitate or exclude wildlife in savannas and whether these effects change through time. Here, we used camera traps to compare the distribution of 13 large herbivore species in Serengeti National Park with adjacent village lands used by livestock and people at both seasonal and diel cycle scales. The results show

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Environmental DNA as a management tool for tracking artificial waterhole use in savanna ecosystems

Game parks are the last preserve of many large mammals, and in savanna ecosystems, management of surface waters poses a conservation challenge. In arid and semi-arid regions, water can be a scarce resource during dry seasons and drought. Artificial waterholes are common in parks and reserves across Africa, but can alter mammal community composition by favoring drought intolerant species, with consequences for disease dynamics, and population viability of drought-tolerant species. Analysis of waterborne environmental DNA (eDNA) is increasingly used to

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Camera-trap data do not indicate scaling of diel activity and cathemerality with body mass in an East African mammal assemblage

Diel activity patterns of animal species reflect constraints imposed by morphological, physiological, and behavioral trade-offs, but these trade-offs are rarely quantified for multispecies assemblages. Based on a systematic year-long camera-trap study in the species-rich mammal assemblage of Lake Manyara National Park (Tanzania), we estimated activity levels (hours active per day) and circadian rhythms of 17 herbivore and 11 faunivore species to determine the effects of body mass and trophic level on activity levels and cathemerality (the degree to which species

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Assessing Distribution Patterns and the Relative Abundance of Reintroduced Large Herbivores in the Limpopo National Park, Mozambique

This study is the first systematic assessment of large herbivore (LH) communities in Limpopo National Park (LNP) in Mozambique, an area where most LH species were extinct until the early 2000s. We investigate whether LH community parameters are linked with the availability of habitat types or the distance between sampling sites and the origin of LH resettlement. We placed camera traps in five habitat types in resettled and not-resettled areas to compare species richness, relative abundance index, grazers–browsers–mixed feeder and

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Automated camera trap species recognition made easy: Using entry-level hardware and few training data

Computer vision methods used to analyse camera trap photos are usually computationally expensive, require large training datasets and typically focus on only one species per photograph or rely on static backgrounds between sequential images. In contrast, our proposed method requires only an entry-level computer and relatively few training data while handling multi-species photos with changing backgrounds. It is able to distinguish between four large mammal species common to the Iona–Skeleton Coast TFCA, namely giraffe, impala, oryx and zebra. Trained on

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