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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

  • 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
*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › Begutachtung

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.

OriginalspracheEnglisch
Aufsatznummer111672
ZeitschriftData in Brief
Jahrgang61
Seitenumfang10
ISSN2352-3409
DOIs
PublikationsstatusErschienen - 08.2025
Extern publiziertJa

Bibliographische Notiz

Publisher Copyright:
© 2025 The Author(s)

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 15 – Lebensraum Land
    SDG 15 – Lebensraum Land

Fachgebiete und Schlagwörter

  • Biologie
  • Ökosystemforschung

ASJC Scopus Sachgebiete

  • Allgemein

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