Main activities
Fieldwork 2024- 2025All partners completed sampling campaigns during two field seasons at paired or gradient sites (e.g. natural vs. restored grasslands, grazed vs. ungrazed sites, elevational, and land‑use gradients) using both traditional and automated methods: transect walks and flower‑focused camera traps.
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Field protocol optimizationAcross sites and field seasons, we optimised camera setup and field protocols – including testing manual vs. automatic focus, increasing image resolution, mitigating overheating, refining flower surveys, and implementing QField-based digital data entry. These improvements ensure the collection of robust interaction data that can be compared among countries and years.
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Post-processingFor post-processing of the collected images, a Python pipeline was built that utilizes the open-access BioCLIP2 classifiers for taxonomic identification of recorded insect pollinators. The pipeline also filters and aggregates the processed metadata to generate interaction matrices. The output of the pipeline produces datasets that are directly comparable with traditional monitoring data, while also providing standalone high-quality datasets for further analysis.
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BiodivMon Call
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Duration of the project
01.04.2024 - 31.03.2027 |
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