Data from: Trap nests for bees and wasps to analyse trophic interactions in changing environments - a systematic overview and user guide

Staab, Michael, University of Freiburg

Pufal, Gesine, University of Freiburg

Tscharntke, Teja, University of Göttingen

Klein, Alexandra-Maria, University of Freiburg

Published Jul 25, 2019 on Dryad. https://doi.org/10.5061/dryad.36p1418

Cite this dataset

Staab, Michael; Pufal, Gesine; Tscharntke, Teja; Klein, Alexandra-Maria (2019). Data from: Trap nests for bees and wasps to analyse trophic interactions in changing environments - a systematic overview and user guide [Dataset]. Dryad. https://doi.org/10.5061/dryad.36p1418

Abstract

1. Trap nests are artificially made nesting resources for solitary cavity-nesting bees and wasps and allow easy quantification of multiple trophic interactions between bees, wasps, their food objects and natural enemies. 2. We synthesized all trap nest studies available in the ISI Web of Science™ to provide a comprehensive overview of trap nest research and identify common practical challenges and promising future research directions. 3. Trap nests have been used on all continents and across climate zones and publication numbers have increased exponentially since the first studies in the 1950s. Originally used for detailed exploratory natural history observations, trap nests are now also an established method in hypothesis-driven ecology and to assess environmental changes. We identify the potential of trap nests for environmental monitoring by assessing trophic interaction networks of the groups involved. While pollen collection by bees or prey hunting by wasps has often been addressed, and interactions with natural enemies were included in almost half of all publications, surprisingly few studies have quantified trophic interaction networks in response to natural and anthropogenic environmental changes. 4. By simultaneously revealing a multitude of trophic interactions, trap nests have the potential to broaden our understanding how species interaction networks are influenced by manifold environmental changes, which are pressing topics in ecological research. To foster the use of trap nests in future studies, we identify common challenges and offer guidance on practical solutions.

Usage notes

Data for Staab et al. MEE

The excel file ‘Data for Staab et al. MEE’ contains 4 separate spreadsheets (‘column_headers’ / ‘raw_data’ / ‘data_mapping’ / ‘research_topics_year’). Spreadsheet ‘column_headers’ explains the content of each column in the 3 other spreadsheets. Spreadsheet ‘raw_data’ contains the full raw details of the literature search. Please see the ‘column_headers’ spreadsheet for details of each column. Spreadsheet ‘data_mapping’ contains the locality information for all studies. In the rare case that a study had several broadly separated sampling locations within a country, one of these localities was randomly selected for the spatial analyses (specified by ‘yes’ in column ‘taken_in_case_of_multiple_sites’). However, if a study had sampling sites in more than one country, one locality for each country was taken. The same was done if sampling sites of a publication included several political units (states or provinces) within the ten largest countries of the world, of which Argentina, Australia, Brazil, Canada, China, and the USA have trap nest studies. In these cases, the entry in the ‘study_ID’ appears multiple times, once for each locality). This dataset can be used to reproduce the geographic and climatic analyses shown in Figure 2. Please see also the ‘column_headers’ spreadsheet. Spreadsheet ‘research_topics_year’ contains the categorized topics (aggregated per year) of all 481 studies identified with the keyword search in in the ISI Web of Science™ (until 2016) (see Table 2 in the publications). Numbers are mutually non-exclusive because a single study can address several topics. Column ‘n_studies’ gives the total number of studies for every year. This dataset can be used to reproduce the analyses shown in Table 3 and Figure 3.

Location

global