Detecting Risk Signals in Transactional Wildlife

Master Mag Prabhjeet Singh, MBA

Diplomová práce

Abstract:

This thesis looks at whether early warning risk signal of human–wolf conflict can be identified in the Czech Republic by using publicly available data from the period 2020–2025. The study is based on the idea that conflict between wolves and humans does not appear suddenly but develops gradually through ecological, social and economic changes. To explore this the research brings together different kinds of open data, such as wolf population and territory development, livestock depredation records, compensation payments, wolf sightings, media reports and citizen complaints. A longitudinal and regional approach was used to analyse both changes over the time and difference between regions could be compared. The results show that wolf presence in the Czech Republic increased during the studied period together with livestock depredation and compensation payments. However, the signal detection model did not provide strong evidence that public signals alone can reliably predict livestock attacks at the national level. At the same time the findings demonstrate that combining ecological, social and economic indicators gives a broader understanding of how conflict develops. The thesis also found that conflict is not evenly distributed across the country but is concentrated mainly in certain border and forested regions. The main contribution of the study is that it shows the practical value of bringing together already available public data to support more informed, regionally sensitive and preventive wildlife conflict management in the Czech Republic.

Keywords

Grey wolf, Early warning risk signals, Human-wolf conflict, Wildlife Management, Czech Republic

Jazyk práce: angličtina

Datum vytvoření / odevzdání či podání práce: 2. 4. 2026

Obhajoba závěrečné práce

• Vedoucí: John Phillip Sabou, MSc Ph.D.
• Oponent: Petr Stýblo, externi

Česká zemědělská univerzita v Praze

Provozně ekonomická fakulta

Magisterský studijní program:
Global Information Security Management