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Data on visitation records from wild bees and plants along a land use gradient in Germany and Belgium: laboratory work and protocol description for barcoding.

Created on 17 Jun 2025

Authors

Maria Alejandra Parreño, Susanne Werle, Louella Buydens, Joshua Spitz, Franz Härtl, Jeremias Montoya, Fabian Ruedenauer, Baturalp Arisoy, Regina Seiler, Clementine Leroy, Qingming Feng-Spitz, Carmen Alexandra Nebauer, Andrea Ferrari, Nicolas Proessl, Ragna Borchardt, Birte Peters, Stefanie Siebler, Matthias Reese, Nils Schumacher, Tuyen Phung, Katharina Schildt, Jessica Ebensberger, Maximilian Seiler, Philipp Reiter, Stephanie Beelaert, Marius Buydens, Sumeer Koirala, Jerome Moreniere, Rene Tänzler, Cedric Alaux, Michał Filipiak, Ivan Meeus, Niels Piot, Michael Kuhlmann, Fabrice Requier, Alexandra Klein, Jean Luc Brunet, Mickael Henry, Alexander Keller, Sara Diana Leonhardt

Published in

Data in brief. Volume 61. Pages 111672. Epub May 19, 2025.

Abstract

The dataset contains information on plant-bee interactions in an agricultural landscape with diverse intensities of land use management, in Germany and Belgium. It was collected during spring and early summer in 2020 and 2021 using two complementary types of sampling: standardized transects (5 transects of 50 m long in 1 h of netting) and targeted sampling in which flowers were observed for diverse periods of times, anywhere in an area of 50 to 150 m2. The species identity was obtained with field keys and DNA barcoding. The dataset is of use for building pollinator networks and in combination with other datasets on environmental characteristics of the area to better understand species distributions and interactions. Indeed, we include in the dataset information on environmental parameters from the plots of sampling (spatial coordinates, land use intensity index, landscape heterogeneity index, plant diversity), which can support further correlational analyses.

PMID:
40524962
Bibliographic data and abstract were imported from PubMed on 17 Jun 2025.

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