Sarawak, Malaysia, is home to a wide range of native fruit tree species (NFTs) that contribute to the livelihoods of rural women and men. Yet, most agricultural research in the area, and elsewhere, has focused on commercial, non-native species, and the economic potential of lesser-known NFTs has often been overlooked. What is more, little attention has focused on research for development tools that can build on the local ecological knowledge of both men and women while supporting forest-based livelihoods and biodiversity conservation.

Ecosystem service-support tools are commonly used to guide natural resource management. Often, empirically based models are preferred due to low data requirements, simplicity and clarity. Yet, uncertainty produced by local context or parameter estimation remains poorly quantified and documented. We assessed model uncertainty of the Revised Universal Soil Loss Equation – RUSLE developed mainly from US data. RUSLE is the most commonly applied model to assess watershed-level soil loss.

Multifunctional land use has become a widely supported pathway for Europe's countryside. Brussels and the national governments stimulate farmers to integrate primary production with non-agricultural practices from which they can also benefit. In favour of this development different stakeholders are encouraged to collaborate to produce the so-called farmer-managed public goods. This paper explores critical success factors for the production and maintenance of these public goods.