<scp>EuPPollNet</scp>: A European Database of Plant‐Pollinator Networks

ABSTRACT Motivation Pollinators play a crucial role in maintaining Earth's terrestrial biodiversity. However, rapid human‐induced environmental changes are compromising the long‐term persistence of plant‐pollinator interactions. Unfortunately, we lack robust, generalisable data capturing how plant‐pollinator communities are structured across space and time. Here, we present the EuPPollNet (European Plant‐Pollinator Networks) database, a fully open European‐level database containing harmonised taxonomic data on plant‐pollinator interactions referenced in both space and time, along with other ecological variables of interest. In addition, we evaluate the taxonomic and sampling coverage of EuPPollNet, and summarise key structural properties in plant‐pollinator networks. We believe EuPPollNet will stimulate research to address data gaps in plant‐pollinator interactions and guide future efforts in conservation planning. Main Types of Variables Included EuPPollNet contains 1,162,109 interactions between plants and pollinators from 1864 distinct networks, which belong to 52 different studies distributed across 23 European countries. Information about sampling methodology, habitat type, biogeographic region and additional taxonomic rank information (i.e. order, family, genus and species) is also provided. Spatial Location and Grain The database contains 1214 different sampling locations from 13 different natural and anthropogenic habitats that fall in 7 different biogeographic regions. All records are geo‐referenced and presented in the World Geodetic System 1984 (WGS84). Time Period and Grain Species interaction data was collected between 2004 and 2021. Major Taxa and Level of Measurement The database contains interaction data at the species level for 94% of the records, including a total of 1411 plant and 2223 pollinator species. The database includes data on 6% of the European species of flowering plants, 34% of bees, 26% of butterflies and 33% of syrphid species at the European level. Software Format The database was built with R and is stored in ‘.rds’ and ‘.csv’ formats. Its construction is fully reproducible and can be accessed at: https://doi.org/10.5281/zenodo.14747448 .

Authors

Institutions

Publication Details

Journal
Global Ecology and Biogeography
Published
2025-02-01
DOI
https://doi.org/10.1111/geb.70000
Citations
21
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
63.56

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EuPPollNet: A European Database of Plant‐Pollinator Networks

Jiří Hadrava, Georgios Nakas, Sebastian Hopfenmüller, Javier Morente‐López et al.
21 citations
Global Ecology and Biogeography
Plant and animal studies
63.56
article

EuPPollNet: A European Database of Plant‐Pollinator Networks

Jiří Hadrava, Georgios Nakas, Sebastian Hopfenmüller, Javier Morente‐López, Sebastian Świerszcz, Elisabeth Kühn, Sandra Hervías‐Parejo, Katharina Kallnik, Jana Jersáková, Birgit Jauker, Christophe Dominik, Úna Fitzpatrick, Theodora Petanidou, David Kleijn, Sara Lopes, Jose B. Lanuza, Reet Karise, Leana Zoller, Frank Jauker, Riccardo Bommarco, Joana Costa, Paolo Biella, Valentin Ştefan, Reinart Feldmann, Felipe Librán‐Embid, Tiffany M. Knight, Rúben Heleno, Will Glenny, Alessandro Fisogni, Robert Tropek, Dara A. Stanley, Anna Traveset, Marie Winsa, Maj Rundlöf, José María Iriondo, Bernhard Hoiß, Veronica Hederström, Aoife M. O’Rourke, Irina Goia, Miguel A. González‐Estévez, Henrik G. Smith, Ingo Graß, Laura Russo, Theresia Krausl, João Loureiro, Yves Piquot, Marika Mänd, François Massol, Yoko Luise Dupont, Lorenzo Marini, Hugo Gaspar, Nathan Cyrille, Francisco P. Molina, Ainhoa Magrach, Corina Maurer, Natasha de Manincor, Émeline Felten, William Fiordaliso, Sílvia Castro, Juan P. González‐Varo, Andree Cappellari, Francisco A. López‐Núñez, Jennifer B. Wickens, Jane C. Stout, Willem Proesmans, Louis Sutter, Ingolf D Steffan-Dewenter, Paola Acuña, Annette Trefflich, Oliver Schweiger, Maddi Artamendi, Yann Clough, Catarina Siopa, Cian White, Adam J. Vanbergen, Bertrand Schatz, Sarah Mullen, Emilien Laurent, Lena Neuenkamp, Marta Galloni, Eileen F. Power, Elena Motivans Švara, Paula Dominguez‐Lapido, Carlos Lara‐Romero, Ante Vujić, Victoria Ferrero, Stuart P. M. Roberts, Matthias Albrecht, Arkadiusz Nowak, Amparo Lázaro, Pau Enric Serra, Andrea Holzschuh, Denis Michez, Erik Öckinger, Jeroen Scheper, Rafel Beltran Mas, Demetra Rákosy, Pau Colom, Nina Hautekèete, Sara Reverté, Ígnasi Bartomeus, Isabelle Badenhausser, Øystein H. Opedal, Carmelo Gómez Martínez, Amibeth Thompson, Montserrat Vilà i Suñé, Michelle Larkin, Joanne M. Bennett, Victoria J. Wickens, Elena Gazzea, Stefan Klotz, Yicong Liu, Teja Tscharntke, Catherine J. O’Connor, Jonna Heuschele, Simon G. Potts, Nerea Montes‐Pérez, Jens M. Olesen
article en
21 citations

Abstract

ABSTRACT Motivation Pollinators play a crucial role in maintaining Earth's terrestrial biodiversity. However, rapid human‐induced environmental changes are compromising the long‐term persistence of plant‐pollinator interactions. Unfortunately, we lack robust, generalisable data capturing how plant‐pollinator communities are structured across space and time. Here, we present the EuPPollNet (European Plant‐Pollinator Networks) database, a fully open European‐level database containing harmonised taxonomic data on plant‐pollinator interactions referenced in both space and time, along with other ecological variables of interest. In addition, we evaluate the taxonomic and sampling coverage of EuPPollNet, and summarise key structural properties in plant‐pollinator networks. We believe EuPPollNet will stimulate research to address data gaps in plant‐pollinator interactions and guide future efforts in conservation planning. Main Types of Variables Included EuPPollNet contains 1,162,109 interactions between plants and pollinators from 1864 distinct networks, which belong to 52 different studies distributed across 23 European countries. Information about sampling methodology, habitat type, biogeographic region and additional taxonomic rank information (i.e. order, family, genus and species) is also provided. Spatial Location and Grain The database contains 1214 different sampling locations from 13 different natural and anthropogenic habitats that fall in 7 different biogeographic regions. All records are geo‐referenced and presented in the World Geodetic System 1984 (WGS84). Time Period and Grain Species interaction data was collected between 2004 and 2021. Major Taxa and Level of Measurement The database contains interaction data at the species level for 94% of the records, including a total of 1411 plant and 2223 pollinator species. The database includes data on 6% of the European species of flowering plants, 34% of bees, 26% of butterflies and 33% of syrphid species at the European level. Software Format The database was built with R and is stored in ‘.rds’ and ‘.csv’ formats. Its construction is fully reproducible and can be accessed at: https://doi.org/10.5281/zenodo.14747448 .

Global Ecology and BiogeographyVol. 34(2)
University College Dublin (IE), University of Hohenheim (DE), Ikerbasque (ES), Goethe University Frankfurt (DE), Australian National University (AU), Centre National de la Recherche Scientifique (FR), University of Mons (BE), Helmholtz Centre for Environmental Research (DE), University of Padua (IT), University of Lisbon (PT), Inserm (FR), École Pratique des Hautes Études (FR), University of Freiburg (DE), University of the Basque Country (ES), University of Novi Sad (RS), Université de Bourgogne (FR), Universidad Rey Juan Carlos (ES), Lund University (SE), University of Colorado Boulder (US), Ollscoil na Gaillimhe – University of Galway (IE), Estonian University of Life Sciences (EE), Université de Montpellier (FR), Justus-Liebig-Universität Gießen (DE), Czech Academy of Sciences (CZ), Aarhus University (DK), Trinity College Dublin (IE), Charles University (CZ), Université de Lille (FR), University of Würzburg (DE), Wrocław University of Environmental and Life Sciences (PL), Institut Pasteur de Lille (FR), German Centre for Integrative Biodiversity Research (DE), Polytechnic Institute of Coimbra (PT), Swedish University of Agricultural Sciences (SE), Centre Hospitalier Universitaire de Lille (FR), University of South Bohemia in České Budějovice (CZ), Babeș-Bolyai University (RO), Universidad de Cádiz (ES), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Estación Biológica de Doñana (ES), Centre d'Écologie Fonctionnelle et Évolutive (FR), Basque Centre for Climate Change (ES), Johann Heinrich von Thünen-Institut (DE), Centre d'Etudes Biologiques de Chizé (FR), Center for Infection and Immunity of Lille (FR), Agroécologie (FR), Instituto de Investigacións Mariñas (ES), Polish Academy of Sciences Botanical Garden – Center for Biological Diversity Conservation in Powsin (PL), Wrocław Zoo (PL), Mediterranean Institute for Advanced Studies (ES), Institute of Entomology (CZ), Institut de Biologia Evolutiva (ES), Agroscope (CH), Unité de Recherche Pluridisciplinaire Prairies et Plantes Fourragères (FR), Unité Évolution, Écologie et Paléontologie (FR), Research Center for Natural Resources, Environment and Society (PT), Biogéosciences (FR), Czech Academy of Sciences, Biology Centre (CZ), Institut de Recherche pour le Développement (FR), University of Tartu (EE), Universidade de Vigo (ES), University of Milano-Bicocca (IT), Martin Luther University Halle-Wittenberg (DE), University of Reading (GB), Universitat de Barcelona (ES), University of Göttingen (DE), University of Tennessee at Knoxville (US), University of Coimbra (PT), Universidad de Sevilla (ES), Universidad de León (ES), Wageningen University & Research (NL), University of Bologna (IT), University of the Aegean (GR)
H2020 Environment
Life in Land
Openalex Percentile: Top 0%
Plant and animal studies
63.56
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.