Governance for Performance in Protected Areas in the Amazon With a Focus on Integrative Theoretical Modeling

Introduction: The Brazilian Amazon is home to Conservation Units (CUs) defined by Law No. 9,985 (2000), which established the National System of Conservation Units (SNUC). Despite this legal framework, the management of these areas faces limitations related to the availability of financial resources, the implementation of public policies, and the monitoring of results. This study presents a theoretical model for managing CUs in the Amazon, based on the integration of the Management Excellence Model (MEG) of the National Quality Foundation (FNQ) with Key Performance Indicators (KPIs) specific to the regional context. The methodology includes a bibliographic survey and document analysis, aiming to identify relevant indicators in the ecological, social, economic, and sustainable use dimensions. The proposed model provides a structured framework for evaluating and improving management, with potential for application in planning, monitoring, and decision-making processes. Although it lacks empirical validation, the proposal contributes to the development of governance mechanisms aligned with biodiversity conservation and the engagement of local communities. Objectives: To present a theoretical model for managing Protected Areas (PAs) in the Amazon, integrating the Management Excellence Model (MEG) of the National Quality Foundation (FNQ) with Key Performance Indicators (KPIs) specific to the regional context. Theoretical Framework: The study is based on the National System of Protected Areas (SNUC), established by Law No. 9.985/2000, and the excellence management practices proposed by the MEG, associated with the use of multidimensional performance indicators. Method: A literature review and document analysis were conducted, focusing on identifying relevant indicators in the ecological, social, economic, and sustainable use dimensions. Results and Discussion: The proposed model provides a structured framework for evaluating and improving the management of Amazonian PAs. Its potential for application in planning, monitoring, and decision-making processes is highlighted, although it still lacks empirical validation. Research Implications: The proposal contributes to strengthening governance mechanisms, aligning management practices with biodiversity conservation and local community engagement. Originality/Value: The study presents an innovative approach by integrating MEG with regional KPIs, offering a tool adapted to the specificities of the Amazon and capable of supporting the effectiveness and sustainability of Conservation Units.