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Making way for the implementation of automated bee counters in regulatory risk assessment

GND
140652434
ORCID
0000-0003-2230-4294
Zugehörigkeit
Julius Kühn-Institute (JKI), Institute for Bee Protection, Germany
Odemer, Richard;
ORCID
0000-0003-0787-1530
Zugehörigkeit
RIFCON GmbH, Hirschberg, Germany
Jakoby, Oliver;
ORCID
0009-0003-6351-8325
Zugehörigkeit
BioChem Agrar GmbH, Gerichshain, Germany
Barth, Markus;
ORCID
0000-0001-9363-9660
Zugehörigkeit
Eurofins Agroscience Services Ecotox GmbH, Niefern-Öschelbronn, Germany
Knäbe, Silvio;
GND
105893063X
ORCID
0000-0002-7707-1216
Zugehörigkeit
Julius Kühn-Institute (JKI), Institute for Bee Protection, Germany
Pistorius, Jens;
ORCID
0000-0003-3451-9153
Zugehörigkeit
apic.ai GmbH, Karlsruhe, Germany
Schmidt, Katharina

Measuring adverse effects on honey bees and their colonies requires a suitable methodology. For example, due to the large number of bees in a hive and the foraging activity, measuring the mortality of individuals is a difficult task that has not yet been adequately addressed. Knowing the natural daily mortality rate of a bee colony would be of great benefit in assessing whether and to what extent external influences and stress factors affect mortality. More precise mortality data could in turn help refining specific protection goals for regulatory purpose. The European Food Safety Authority recently published a document that estimated such mortality rates based on a systematic literature review, but none of these rates were assessed from continuous monitoring of colonies. Currently, bee mortality is routinely evaluated with various types of dead bee traps that prevent deceased bees from being removed from the colony. Both the literature review and the dead bee traps are relevant to regulatory risk assessment, but in our opinion are not describing the total mortality. Bee counters capable of precisely determining daily loss rates meet the above points and combine them with generating automated and continuous monitoring data. Lately, the field has gained a lot of importance in research and technological advances offer new possibilities in regulatory risk assessment. We will highlight these possibilities and discuss their future application in practice.

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