Your support for
FOREST decision

Forests have been an important source of fiber, food, water, biodiversity, energy, recreation, scenic beauty and environmental services. The science of forest management involves the challenge of working with forests in a way that produces needed benefits now, without compromising future benefits. The pressure towards social, economic and environmental sustainability drives the development of technologies to cover these demands, improving models, introducing new methods and adding holistic planning approaches in forest management decision support systems (FMDSS). The conflicts that arise between the desire to use natural resources and the desire to preserve them make multicriteria decision theory necessary. Brazil, one of the ten largest wood producers in the world (IBÁ - INSTITUTO BRASILEIRO DE ÁRVORES, 2019), has the second largest forest cover on the planet. It also uses optimization models that represent the growth of forests integrated to decision support systems that help managers in their decisions (RODRIGUEZ; NOBRE, 2014). However, forest planning models and applied decision support systems are not uniformly developed and available for all types of problems encountered in the country (BELAVENUTTI; ROMERO; DIAZ-BALTEIRO, 2018). Managers of Brazilian forest plantations face many conflicts in the continuous search for efficiency gains (greater production with a minimum use of resources) and effectiveness (greater profits with minimum social and environmental impacts).

The importance of forests in maintaining the country's ecosystem services is well known, especially in relation to water security, given the respective crises of the last decade. We also emphasize how much it is possible to increase the area of forest cover in order to protect the soil and essential water resources for agriculture, which provides raw material for our industry and guarantees food security for our population._cc781905-5cde-3194-bb3b -136bad5cf58d_

Forest, industrial and environmental managers of the main fiber producing countries are constantly interacting to adjust the processing demands of the industry and the demands of industrial forests (MACDICKEN et al., 2015; UHDE et al., 2015; KAYA et al., 2016; SCHRODER et al., 2016).

The decision process in such cases seeks a compromise that accommodates often conflicting objectives. Conflict resolution involves negotiation based on trade-offs between criteria that can be translated into quantitative indicators.