Monitoring von Bestäubern durch automatisierte Kameras in landwirtschaftlichen geprägten Landschaften

Pollinators play an important role in agricultural systems. They enhance crop productivity and help maintain biodiversity. Understanding their abundance and diversity is essential for sustainable farming practices. We used an innovative approach to studying pollinators in agricultural landscapes using automated camera traps and artificial intelligence. Our study conducts a continuous assessment of different habitat structures to evaluate their impact on the abundance and taxonomic richness of key pollinator groups. The goal is to evaluate how changes throughout the year influence the abundance and diversity of pollinator groups in different habitats. The results emphasize the importance of diverse habitats, especially field margins, for maintaining pollinator diversity and activity during the vegetation period. AI correctly assigned over 90% of hoverflies, wasps, and honeybees to the correct taxa, while wild bees, butterflies, and bumblebees were identified less accurately. The camera-trap system shows potential for standardized pollinator monitoring in agricultural environments.