Forest management in Mexico is immersed in diverse and complex ecological, socio-cultural, political, economic, and technological contexts. These contexts have led to the use of the forests for many purposes under diverse administration and management schemes. These schemes continue to evolve, both in the forest areas and in universities and forest research institutions throughout the country. Timber management has been part of this evolution and has given rise to several forest management approaches. Most of these approaches are adaptations of methods developed in other parts of the world for very different ecological, socio-cultural, and economic contexts. The majority of the timber management methods are based on sustainability principles and incorporate classical yield regulation and forest management concepts. However, the application of these methods in the complex and rapidly changing contexts in which the Mexican forests and forestry sector are immersed has resulted in unexpected and fortuitous results. There is a need for a new significant evolution of the forest and timber management methods in the country. New approaches must include greater emphasis on communitybased forestry, consideration of markets for forest products and services, as well as the overall increase of resilience, learning capacity, and adaptation while reducing hazards, risks, and vulnerability of the forests and the communities that depend on them. These characteristics will allow better adaptation to the rapid changes, complexities, and ambiguities of the global environment and the Mexican ecological, social, political, and economic conditions.

This paper is concerned with developing a model for group decision making under multiple criteria. The multiple criteria group decision making (MCGDM)problem involves a set of feasible land use patterns that are evaluated on the basis of multiple, conflicting and noncommensurate criteria by a group of individuals. The model integrates the Analytic Hierarchy Process (AHP) and an integer mathematical programming method. The former provides a tool for structuring the decision problem and determining land suitability for different socio-economicactivities (the uses of land), the latter is used to identify the land use pattern that maximizes consensus among interest groups. The model is used to analyze environmental conflict over land resource allocation in the Cape Region of Mexico.

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* corresponding author 1The development, integration, and distribution of the information and spatial data infrastructure (i.e. Digital Earth; DE) necessary to support the vision and goals of Future Earth (FE) will occur in a distributed fashion, in very diverse technological, institutional, socio-cultural, and economic contexts around the world. This complex context and ambitious goals require bringing to bear not only the best minds, but also the best science and technologies available. Free and Open Source Software for Geospatial Applications (FOSS4G) offers mature, capable and reliable software to contribute to the creation of this infrastructure. In this paper we point to a selected set of some of the most mature and reliable FOSS4G solutions that can be used to develop the functionality required as part of DE and FE. We provide examples of large-scale, sophisticated, mission-critical applications of each software to illustrate their power and capabilities in systems where they perform roles or functionality similar to the ones they could perform as part of DE and FE. We provide information and resources to assist the readers in carrying out their own assessments to select the best FOSS4G solutions for their particular contexts and system development needs.