What are the limits of machine learning in ecology?

What are the limits of machine learning in ecology?

Machine learning in ecology has limitations such as data quality, interpretability, and the complexity of ecological systems.

Can you elaborate on data quality issues?

Sure! Data quality issues include missing data, biased samples, and noise, which can lead to inaccurate models.

How does interpretability affect machine learning models?

Interpretability is crucial because ecologists need to understand model decisions to apply findings effectively in real-world scenarios.

Are there specific ecological problems where ML has been particularly successful?

Yes, ML has been successful in species distribution modeling, habitat mapping, and predicting ecological changes.