Work

Integration of novel technology in pollinator monitoring

Year: 2025

Type: preprint

Abstract: Pollinators are critical to Europe’s biodiversity, food security, and ecosystem resilience. Yet, their populations are declining due to habitat loss, climate change, and pesticide use. Under Article 10(2) of the Nature Restoration Regulation, Member States must improve pollinator diversity and reverse the decline of pollinator populations at the latest by 2030 and thereafter achieve an increasing trend of pollinator populations, measured at least every six years from 2030, until satisfactory levels are achieved. The MAMBO project (Modern Approaches to the Monitoring of Biodiversity) can potentially contribute to this goal through its development and demonstration of cutting-edge technologies, including artificial intelligence (AI) and insect camera traps, that can support how pollinators are monitored across Europe. This policy brief outlines MAMBO’s innovations, highlights emerging opportunities, and recommends actions for integrating these tools into EU PoMS.

DOI: 10.3897/arphapreprints.e174999

Authors: Toke Thomas Høye, Mario V Balzan, Simon Potts, Oliver Schweiger, Pavel Stoev

Institutions: Aarhus University, Malta College of Arts, Science and Technology, University of Reading, Helmholtz Centre for Environmental Research, Bulgarian Academy of Sciences, Pensoft Publishers (Bulgaria), National Museum of Natural History

Language: English

Topic: Plant and animal studies

Subfield: Ecology, Evolution, Behavior and Systematics

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Life on land

Open Access status: gold

OpenAlex ID: W4415236647

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