Dynamic Models applied in Paricá Production Optimization

Paricá (Schizolobium parahyba var. amazonicum) is an alternative to reforestation efforts, especially in tropical regions. Its exceptional qualities make it an undeniably advantageous choice for forestry projects. Paricá is characterized by high-quality wood, fast growth, and a notable adaptability to different types of soil and climatic conditions. Furthermore, it demonstrates a natural resistance to pests and diseases, reducing the need for harmful interventions. However, optimising forest management and ensuring the long-term sustainability of paricá plantations requires accurate tools for estimating production. Enter the ADA (Algebraic Difference Approach) and GADA (Generalized Algebraic Difference Approach) dynamic models. These powerful computational tools act as virtual laboratories, simulating individual tree growth and the overall dynamics of forest stands over time. By incorporating crucial information such as climate, soil composition, tree competition, and individual tree characteristics, the ADA and GADA models enable remarkably accurate yield predictions. These forecasts are particularly valuable because they consider multiple management scenarios, enabling forest managers to make informed decisions. With the knowledge obtained from the ADA and GADA models, forest managers can optimise harvest times, maximising productivity and minimising environmental impact. In addition to operational efficiency, these models play a vital role in assessing the economic viability of paricá reforestation projects. By providing reliable forecasts, they increase the sector’s attractiveness to potential investors, attracting much-needed capital for sustainable forestry practices. Building on this foundation, we will delve deeper into the world of dynamic models. We will present specific models based on the ADA/GADA methodology, developed and applied to data meticulously collected in paricá plantations subject to sustainable management practices in the Northern region of Brazil. Through this exploration, we aim to contribute not only to the sustainable development of our region but also to the well-being of Brazil as a whole.