Volodymyr Tytar

This study models the current and future habitat suitability of Naegleria fowleri in the US and projects its potential expansion into Europe under climate change scenarios.

The paper uses stacked species distribution models to assess habitat quality for three cetacean species in the Black and Azov Seas, finding that PRR correction improves model performance and identifies key environmental drivers.

This study identifies temperature and solar radiation as key drivers of Oxycarenus lavaterae range expansion using Maxent models and occurrence data.

This study models the future distribution of Ixodes ricinus ticks under climate change, predicting habitat expansion in some regions and contraction in others, with implications for Lyme disease control.

This study uses machine learning and bioclimatic data to predict West Nile virus outbreaks in Europe, highlighting Ukraine's vulnerable regions.

This study models the ecological niche of hornbeam in Europe, identifying key climatic factors influencing its distribution, particularly in Ukraine.