Ivan Kos
Papers
1
Total Citations
33
H-Index
1
About
Ivan Kos is a conservation geneticist whose work bridges field ecology and advanced molecular techniques to monitor large carnivore populations. His key research areas include non-invasive genetic sampling, population estimation, and transboundary wildlife management. Kos’s major contribution lies in developing cost-effective, scalable methods for estimating population size, as demonstrated in his highly cited 2018 study on brown bears in Slovenia. This work integrated laboratory robotics, high-throughput sequencing, and citizen science volunteers to achieve rapid, accurate genetic censuses across international borders—a breakthrough for monitoring elusive species without costly capture efforts. With 33 citations, the paper exemplifies how Kos’s approach reduces barriers to large-scale genetic monitoring, enabling conservation managers to make data-driven decisions. His achievements include pioneering the use of volunteer-collected samples combined with automated lab workflows, a model now adopted in other transboundary carnivore studies. Kos’s research empowers students and researchers to see how innovative sampling designs and genomic tools can transform wildlife conservation, making population assessments both accessible and reliable.
Research Focus
Key Achievements
Top Papers
- 1