Overexploitation is one of the main pressures driving wildlife closer to extinction, yet broad‐scale data to evaluate species’ declines are limited. Using African pangolins (Family: Pholidota) as a case study, we demonstrate that collating local‐scale data can provide crucial information on regional trends in exploitation of threatened species to inform conservation actions and policy. We estimate that 0.4‐2.7 million pangolins are hunted annually in Central African forests. The number of pangolins hunted has increased by ∼150% and the proportion of pangolins of all vertebrates hunted increased from 0.04% to 1.83% over the past four decades. However, there were no trends in pangolins observed at markets, suggesting use of alternative supply chains. The price of giant (Smutsia gigantea) and arboreal (Phataginus sp.) pangolins in urban markets has increased 5.8 and 2.3 times respectively, mirroring trends in Asian pangolins. Efforts and resources are needed to increase law enforcement and population monitoring, and investigate linkages between subsistence hunting and illegal wildlife trade.

. 2015. Changes in the composition of hunting catches in southeastern Cameroon: a promising approach for collaborative wildlife management between ecologists and local hunters. Ecology and Society 20 (4) ABSTRACT. In recent years, both depletion of wild animals and declining food supply have threatened the livelihoods of people inhabiting the forests of the Congo Basin, and rendered the bushmeat trade a national and global concern. Because initial approaches to wildlife management were criticized for lacking consideration of the customary rights of local people, a variety of projects have been proposed to ensure their active participation in management initiatives. However, unfamiliar with the concepts of conservation ecology, local people have found it difficult to contribute effectively. This paper proposes an approach to monitor the status of fauna, based on the ratio of blue duikers (Philantomba monticola) to medium-sized duikers (Cephalophus spp.) for the total number of hunting catches (the catch B/M). Analysis of changes in the composition of hunting catches across multiple sites in southeastern Cameroon revealed the following trends: (1) without substantive human intervention, i.e., hunting pressure and forest disturbance, medium-sized duikers were densely distributed while blue duikers were sparse, so that the catch B/M was low; (2) under moderate human intervention, blue duikers became more densely distributed while the original density of medium-sized duikers was maintained, so that the catch B/ M increased; (3) with extensive human intervention in specific areas, medium-sized duikers became sparsely distributed while a relatively high density of blue duikers was maintained, so that the catch B/M increased significantly and a mosaic of different compositions of duikers was formed; and (4) with extensive human intervention extending over the specific extensive area, both medium-sized and blue duikers became sparse. It appears that the catch B/M predicts changes in the status of game animals and of the background wild fauna, and is both a sufficiently reliable variable for ecologists and perceptible for local people. Furthermore, this approach has the potential to cultivate a relationship of trust between ecologists and local people, which is indispensable in establishing effective collaborative wildlife management.

We use data on game harvest from 60 Pygmy and non-Pygmy settlements in the Congo Basin forests to examine whether hunting patterns and prey profiles differ between the two hunter groups. For each group, we calculate hunted animal numbers and biomass available per inhabitant, P, per year (harvest rates) and killed per hunter, H, per year (extraction rates). We assess the impact of hunting of both hunter groups from estimates of numbers and biomass of prey species killed per square kilometre, and by examining the proportion of hunted taxa of low, medium and high population growth rates as a measure of their vulnerability to overhunting. We then map harvested biomass (kg-1P-1Yr-1) of bushmeat by Pygmies and non-Pygmies throughout the Congo Basin. Hunting patterns differ between Pygmies and non-Pygmies; Pygmies take larger and different prey and non-Pygmies sell more for profit. We show that non-Pygmies have a potentially more severe impact on prey populations than Pygmies. This is because non-Pygmies hunt a wider range of species, and twice as many animals are taken per square kilometre. Moreover, in non-Pygmy settlements there was a larger proportion of game taken of low population growth rate. Our harvest map shows that the non-Pygmy population may be responsible for 27 times more animals harvested than the Pygmy population. Such differences indicate that the intense competition that may arise from the more widespread commercial hunting by non-Pygmies is a far more important constraint and source of conflict than are protected areas.

Estimating duiker populations is essential for conservation programmes in Central Africa, but what the most reliable survey method is remains unclear. We estimated forest duiker population densities in Southeast Cameroon using three line‐transect methods: dung counts and diurnal direct observation over 338.2 km, and nocturnal direct observation over 334.7 km. Nocturnal observations resulted in 59.8 and 9.0 individuals km−2 for the blue duiker (Philantomba monticola) and red duikers (Cephalophus callipygus, C. dorsalis, C. leucogaster and C. nigrifrons), respectively, which were much higher than estimates by dung counts and diurnal observation. Only dung counting was applicable for the yellow‐backed duiker (0.8 individuals km−2), due to low encounter rates obtained by the other methods. We argue that nocturnal observation is the most accurate method because the torchlight can pick out duikers' eyes even if the animals are shy and hiding and because multiple counts are unlikely. By contrast, the other methods probably underestimate densities due to poor visibility and reliance on dung production and decay rates calculated in different areas. These results can affect figures used in wildlife management decisions, such as the maximum sustainable yield of game animals, which generally have been based on densities estimated using a single survey method.

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