Rural agroforestry landscapes in West and Central Africa face a number of threats. Since decades, the ever escalating bushmeat crisis is pushing populations of threatened wildlife closer to extinction in many parts of West and Central Africa. In addition, population growth and economic needs are driving a slow but steady landscape transformation with protected areas being more and more isolated and surrounded by a mix of agricultural land, forestry and secondary forest patches. However, a recently emerged new wave of oil palm development might have the potential to outweigh experienced miseries. Since there is the risk that hundreds of thousands hectares of Afrotropical forest and agroforestry might be converted to homogeneous agro-industrial cultivations within only a few years.Since West and Central African forested landscapes are characterized by social and economic complexities, site-specific, multi-faceted research approaches are needed to derive evidencebased conservation recommendations in the context of land use change. This doctoral thesis aimed to address some of the apparent knowledge gaps on land use and its effects on biodiversity and rural livelihood in an Afrotropical forest biodiversity hotspot, in Southwest Cameroon.Our first study aimed to assess the status of large mammals and identify predictors of their distribution to inform conservation management in Southwest Cameroon. Based on line transect data from different sites and years as well as modelling of various predictor variables, we found that threatened wildlife in most abundant in protected areas but mainly due to their remoteness and high habitat quality, and less due to direct management interventions, such as patrolling. In addition, we estimated severe population declines between 29% and 94% from 2007 to 2014 of two conservation flagship species, the forest elephant and the chimpanzee.Contrastingly, the second part of our research highlighted the high value of rural agroforestry systems also outside protected areas for native bird communities. Applying multivariate adaptive regression splines on bird count data from oil palm plantation and agroforestry in and outside Korup National Park as well as Landsat imagery, we identified high critical habitat thresholds at above 70% of forest cover for habitat and foraging specialists. In addition, generalists and wide-spread species mainly dominate in areas with low forest cover, such as oil palm plantations. Moreover, we modelled extinction thresholds for ant-following birds at 52% of forest cover for the most sensitive species. As result, we more than the half of resident antfollowers were absent from our data in oil palm plantations.On the other hand, based on direct observations during transect walks and a distance sampling approach, we yielded higher density estimates of Congo Grey Parrots in oil palm plantations compared to Korup National Park. Whereas this is probably solely attributed to the abundant XII palm nut supply all year round, the agroforestry matrix provided a significantly h...
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