Petr Keil

The paper analyzes bird co-occurrence patterns over time across multiple regions and finds that co-occurrences remain largely stable despite environmental changes.

The paper estimates probabilistic species distributions from nine large-scale gridded atlases over five decades, accounting for sampling effort variation using a Bayesian spatial occupancy model.

The paper releases a long-term, standardized biodiversity dataset of Czech breeding birds spanning 40 years, providing spatially contiguous records for ecological and ornithological research.

The paper assesses spatial autocorrelation in bird species distributions and diversity across multiple regions and time periods, finding that finer spatial grains show stronger autocorrelation and that range dynamics are driven by long-distance dispersal and population vulnerability.

The paper shows that the duration of biodiversity sampling (temporal span) significantly affects species richness patterns, interacts with environmental factors, and influences hotspot locations.

The paper investigates how species loss rates vary with spatial grain, showing that regional and local extinction rates differ due to ecological mechanisms like the Allee and Janzen-Connell effects.