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The aim of this research consists of measuring the sustainability degree for tourism destinations considering the stakeholder's preferences. Their opinions were included in the overall process during the choice of the initial indicators and determining the weights. Additionally, in the aggregation process, a sustainability index was calculated with a multiple criteria decision theory methodology, according to its ability to embrace the participant opinions in the decision‐making process. Results allows determining the sustainability degree and the identification of strengths and weaknesses in terms of goals attainment. To corroborate the robustness of the index, an analysis of the rankings was performed.

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This work presents a nonlinear goal programming model with binary variables used to plan the management of a tree plantation, taking economic and environmental objectives into account. The aims are to stay within the limits of a given harvesting volume, limit the age of basic units targeted for clearcutting, obtain a forest with a balanced age distribution, and surpass the minimum net present value set at each planning period. This has to be achieved bearing in mind technical restrictions regarding treatments, and spatial adjacency constraints that limit the maximum adjacent surface area to which clearcutting can be applied. The outcome is a highly complex problem that is solved by applying a metaheuristic method based on Scatter Search. The proposed model has been validated by applying it to a Cuban plantation located in the region of Pinar del Río.