Data need to be stored correctly for proper storage and further AI analytics. one part of this project was to exactly provide that, create a proper database. Data is only as valuable as the interpretation behind it. This project highlights our core belief: a deep understanding of natural science must be paired with precise mathematical and statistical rigor. Without it, data can be misleading and models become black boxes. We applied advanced statistical validation to our ecological data, ensuring that every conclusion was clear, defensible, and free from ambiguity, transforming complex information into trustworthy, actionable intelligence.