Multicriteria evaluation in the implementation of legal reserves Legal Reserve (LR) is a form of protected natural area, which consider different criteria, defined by the law for its establishment. The LR implementation has common objectives with landscape restoration, which involve different areas of knowledge. The main issue, however, is related with the best location of LR, which summarizes the main needs of society (economic, ecological and social) as well, and of ecosystems. The Multicriteria Evaluation (MCE), that is one of the decision-making techniques, permits the integration of criteria for decision-making and, so, can support the LR allocation. Thus, the main objective of this study was the identification of areas suitable for forest restoration, aiming at the definition of area for LR implantation, through one MCE method, named Ordered Weighted Average (OWA). The following criteria set were selected, consulting the experts in areas related with the study: proximity to surface water, proximity to forest patches, slope, neighbors to forest patches and distance to roads. The experts also helped to define the "factor weight" (set of weights that express the relative importance of the criteria). As the next step, we evaluated the influence of criteria in decision-making that supported the criteria ranking. For apply OWA method, we pre-defined the tradeoffs levels (T): low (T=0.3618), medium (T= 0.5570) and high (0.7879). The order weights supported this process. They control the level of tradeoff between weights of factor, considering the importance and influence of factor in the decision-making process. We obtained, as result, six scenarios (OWA1 to OWA6), indicating suitable areas for forest restoration, aiming at the definition of area for LR implementation. OWA1 and OWA3 have high correlation between areas suitable. For the other side, OWA4 and OWA5 present low correlation, as consequence of its values of T and risk (R) values, for decision-making. The scenario OWA3, with medium-low risk for decision-making (T=0.5570 and R=0.2503), proposed the best identification of areas suitable for forest restoration, aiming at the definition of area for LR implantation. The sensibility analysis of OWA3 indicated that the select criteria were important for its production, as the influence of criteria (controlled by order weights). According OWA3, the implementation of LR should begin by areas susceptible to erosion, which supports the connectivity among forest patches, as pre-defined by the law. We concluded that OWA method permits the definition of priority areas for LR implantation, considering the landscape restoration and; the sensitivity analysis, supported by statistical analysis of correlation, is a suitable methodology for evaluation of criteria, in terms of its influence on the decision-making process.