The rapid increase in both the quantity and complexity of data being generated daily in the field of ecology demands accompanying advancements in data analytics. Advanced data analysis approaches, such as machine learning (ML), have become indispensable tools for deciphering the complex relationships between system variables and system behaviors, for which conventional analytical methods face limitations or challenges. ML methods offer the ability to process large volumes of data and uncover intricate patterns that traditional techniques may miss.