Hunting is one of the greatest threats to nonhuman primates worldwide. Despite Madagascar's status as a primate mega-diversity country, a critical lack of information on the hunting of lemurs at the national scale persists. Here, we synthesize the current state of knowledge of the annual rates of household-level lemur hunting near ten protected areas, representing most ecoregions in Madagascar. We examine geographic and taxonomic variation in lemur hunting, including an analysis of hunting relative to species density, extinction risk, and intrinsic ecological characteristics of species. We found that lemurs are commonly hunted across Madagascar; the rural households in our study ate, on average, more than one lemur each year, or a median of 4.1% of the lemur species' population size where densities are known. However, this pressure varied significantly across sites and species, reaching its highest levels in the northeastern rainforest region. While hunting levels are concerning for numerous threatened species, hunting pressure was driven primarily by species availability, and among ecological traits, small body size was related to increased hunting; however, conservation status showed no such relationship. This first national-level assessment of hunting, including one-third of Madagascar's lemur species and more than a tenth of the world's primates, identifies regional variation and lemur taxa at acute risk from hunting-important steps toward developing targeted strategies to conserve one of the world's most threatened groups of vertebrates.

Primate species face growing risks of extinction throughout the world. To better protect their populations, effective monitoring techniques are needed. The goal of this study was to evaluate the use of arboreal camera traps and occupancy modeling as conservation tools for threatened lemur species. This project aimed to (1) estimate the occupancy and detection probabilities of lemur species, (2) investigate factors potentially affecting lemur habitat use, and (3) determine whether ground or arboreal cameras are better for surveying lemur assemblages. We conducted camera trapping research in five forest fragments (total trap nights = 1770; 900 arboreal trap nights (134 photo events); 870 ground trap nights (2 photo events)) and reforestation areas (total trap nights = 608; 1 photo event) in Kianjavato, Madagascar from May to September 2019. We used arboreal trap data from fragments to estimate occupancy for five species: the red-fronted brown lemur (Eulemur rufifrons; ψ = 0.54 ± SD 0.03), Jolly's mouse lemur (Microcebus jollyae; ψ = 0.14 ± 0.17), the greater dwarf lemur (Cheirogaleus major; ψ = 0.42 ± 0.30), the red-bellied lemur (Eulemur rubriventer; ψ = 0.24 ± 0.03), and the black-and-white ruffed lemur (Varecia variegata; ψ = 0.24 ± 0.08). Tree diameter, elevation, distance to village, and canopy connectivity were important predictors of occupancy, while camera height, canopy connectivity, fragment ID, and fragment size predicted detection. Arboreal cameras recorded significantly higher species richness compared with ground cameras. We suggest expanded application of arboreal camera traps in future research, but we recommend longer trapping periods to better sample rarer species. Overall, arboreal camera trapping combined with occupancy modeling can be a highly efficient and useful approach for monitoring and predicting the occurrence of elusive lemur species and has the potential to be effective for other arboreal primates and canopy taxa across the globe.