HARNESSING MULTIPLE CLIMATE DATA SOURCES FOR SUSTAINABLE FORESTRY

A myriad of satellite-based climate and meteorological data is available in near-real time, presenting significant potential for optimizing forestry operation planning. This study integrates these data into a national-scale soil water balance model, combining 23 years of observed precipitation and temperature data with a 6-month forecast system. We developed a national-scale soil water balance model utilizing observed and forecast climate data from various sources. Through practical examples from forestry, we emphasize the benefits and opportunities this tool offers for enhancing sustainability and productivity in Brazil's planted forests.