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The garment and textile factories and assembly plants in the Central American free trade zones, or maquila industry, have given rise to new actors on the labour scene, as women's organisations and local monitoring groups now work alongside the traditional trade union sector. Furthermore, some of these new organisations are linked to networks based elsewhere, mainly in the USA and Europe, and are actively involved in transnational campaigns to improve working conditions in the maquila. To date, attempts between trade unions and these new labour actors to collaborate have been disappointing and often characterised by conflict. Challenging the idea that trade unions and NGOs are in competition for the same limited 'space', by looking at the relations between trade unions and women's organisations, this paper asks whether such conflicts are inevitable, and suggests ways in which the two kinds of organisation could work together to improve the conditions of workers in Central America. [ABSTRACT FROM AUTHOR]

In complex coffee-based agroforestry systems, quantifying the impact of shade trees on coffee disease regulation and coffee yield is crucial for improving these systems and designing more sustainable ones. To this end, we analyzed interactions amongst shade trees, coffee plants (cv. Catimor), the coffee foliar disease complex and soil characteristics. We studied systems characterized by 40 variables measured in 60 plots located on three farms (monitored for 2 years) in Nicaragua. These variables characterized six system components grouped in six statistical blocks: shade trees (shade percentage and species abundancy), soil characteristics (fertility), foliar diseases, coffee plant characteristics (age and size), coffee growth and yield. We used partial least square path modelling (PLS-PM), i.e. a structural equation modelling approach used to understand and quantify interactions between the six blocks. Shade trees (mostly the associated shade percentage) had direct positive effects on foliar disease severity and incidence and soil quality, while having negative effects on coffee growth and yield. Soil characteristics (carbon, nitrogen, litter index, water infiltration potential) were negatively correlated with foliar diseases. An excessive shade percentage then had an indirect negative effect on coffee growth and yield due to the increased prevalence of foliar diseases. Finding the optimal shade cover can help reduce foliar diseases and enhance coffee berry production. The 'dose effect' of shade cover must also be considered because excessive shade, as well as lack of shade, have negative impacts on coffee growth and yield. Overall, effective shade management requires an analysis of trade-offs between soil quality, disease regulation and yield gains. In conclusion, PLS-PM turned out to be a good tool for studying agroecosystem networks and enabled us to put forward some foliar disease management and coffee yield enhancement guidelines. • Shade (percentage and tree species) increase soil fertility and diseases, and reduce coffee growth and yield. • Shade cover has antagonistic effects on coffee foliar diseases regulation. • Actual coffee yield is the result of interactions between shade trees, soil and diseases. • PLS-PM is a good tool to describe interactions between agroforestry system components. [ABSTRACT FROM AUTHOR]