Information on pangolin life history and ecology is becoming increasingly available in African countries through community-based surveys and camera-trapping. However, there is a paucity of information on the largely arboreal black-bellied pangolin Phataginus tetradactyla, which is categorized as Vulnerable on the IUCN Red List. By targeting fallen trees or logs with camera traps we recorded the black-bellied pangolin opportunistically in Deng Deng National Park (East Region, Cameroon), a locality within the presumed distribution of the species within Cameroon. We obtained a low trapping rate of 0.063 events per 100 trap-days and the capture probability was one event recorded over 1,571 trap-days (0.0006 captures per day). Deploying camera traps that focus on fallen trees or logs could be explored as a method for detecting black-bellied pangolins.

Pangolins have long been hunted for food and for their scales, but information on local hunting strategies in African range countries and the patterns of pangolin trafficking around sourcing areas is limited. Such knowledge is vital to inform monitoring approaches and conservation interventions. We administered questionnaires to 367 people from 20 villages around two national parks in Cameroon to gain insights into local hunting practices, and trading and trafficking patterns. We found that tracking was the preferred method of hunting pangolins. Trapping was also used, and setting traps on fallen logs and near burrows improved the likelihood of catching pangolins. The white-bellied pangolin Phataginus tricuspis was the most traded species, and the giant pangolin Smutsia gigantea was the most sought after. We found no evidence of trade in the black-bellied pangolin Phataginus tetradactyla. Most respondents stated that pangolin prices had increased over the last 5 years, and scarcity of pangolins was the primary reason given for this increase. We identified a pangolin scale trafficking network operating from rural communities to neighbouring cities. Although most respondents recognized that hunting pangolins is illegal, c. 30% indicated that they were engaged in pangolin hunting.

Pangolins are some of the most overexploited but least studied mammals. The giant pangolin Smutsia gigantea is the largest of the eight pangolin species, measuring up to 180 cm in length and weighing up to 40 kg. It is a nocturnal, solitary species that occurs at low densities and little is known regarding its biology and ecology. It is distributed widely across the rainforests and forest savannah mosaics of equatorial Africa but its exact range extent is unknown. Apart from a single record in Kenya predating 1971, the eastern limit of its range was thought only to extend to central Uganda and western Tanzania. Here we present three spatially separate records confirming the presence of this species in Kenyan Afromontane forests. The three records are c. 120 km apart and c. 500 km east of the nearest confirmed giant pangolin population in Uganda. These records represent a significant range extension for the species and highlight the biodiversity and conservation importance of the Afromontane forests of western Kenya.

The Endangered giant pangolin Smutsia gigantea is rare and elusive across its Central African range. Because of its solitary and nocturnal nature, the species is difficult to study and so its ecology is little known. Pangolins are considered the most trafficked mammals in the world. Therefore, confirming presence accurately and monitoring trends in distribution and abundance are essential to inform and prioritize conservation efforts. Camera traps are popular tools for surveying rare and cryptic species. However, non-targeted camera-trap surveys yield low camera-trapping rates for pangolins. Here we use camera-trap data from surveys conducted within three protected areas in Uganda to test whether targeted placement of cameras improves giant pangolin detection probability in occupancy models. The results indicate that giant pangolin detection probability is highest when camera traps are targeted on burrows. The median number of days from camera deployment to first giant pangolin detection event was 12, with the majority of events captured within 32 days from deployment. The median interval between giant pangolin events at a camera-trap site was 33 days. We demonstrate that camera-trap surveys can be designed to improve the detection of giant pangolins and we outline a set of recommendations to maximize the effectiveness of efforts to survey and monitor the species.

Two species of pangolins occur in Nepal: the Chinese pangolin Manis pentadactyla and the Indian pangolin Manis crassicaudata. They are categorized as Critically Endangered and Endangered, respectively, on the IUCN Red List, and are protected under the National Parks and Wildlife Conservation Act 1973 in Nepal. Although both this national law and CITES prohibit pangolin hunting and trade, such trade still occurs. To better understand the patterns of pangolin hunting and trade in Nepal, we analysed data on pangolin seizures gathered from official records, grey literature and verified public media reports dating from 1 January 2010 to 31 December 2020. A total of 122 pangolin seizures were reported in 27 districts, mostly in the central mid-hills. Seizure cases included 23 live pangolins, 18 whole-body skins with scales and 1,046.7 kg of scales. We estimate a minimum of 1,500 individuals were hunted locally over the 11-year study period. Analysis of the trade network identified the capital city, Kathmandu, as the main pangolin trade hub, with scales being the most commonly seized item. The illegal trade occurred mostly in two regions: central and eastern Nepal, and areas bordering China. The pangolins were hunted mainly from core habitats within rural areas, then transported to the city for trade. These data support the future development of effective law enforcement and policy interventions for this region, to stop the illegal pangolin trade. Greater understanding of the patterns of the local pangolin trade and the identification of hotspot areas and peak hunting seasons will allow us to prioritize areas for future conservation interventions.