Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Mayr, Antonia V; Steffan-Dewenter, Ingolf (2019): Analysis of trap-nesting Hymenoptera at Mt. Kilimanjaro [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.907535, Supplement to: Mayr, Antonia V; Peters, Marcell Karl; Eardley, Connal Desmond; Renner, Marion E; Röder, Juliane; Steffan-Dewenter, Ingolf (2020): Climate and food resources shape species richness and trophic interactions of cavity‐nesting Hymenoptera. Journal of Biogeography, 47(4), 854-865, https://doi.org/10.1111/jbi.13753

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX CitationShow MapGoogle Earth

Abstract:
Temperature, food resources and top-down regulation by antagonists are considered as major drivers of insect diversity, but their relative importance is poorly understood. In our study, we used cavity-nesting communities of bees, wasps and their antagonists to reveal the role of temperature, food resources, parasitism rate and land use as drivers of species richness at different trophic levels along a broad elevational gradient. We established trap nests on 25 study sites that were distributed over similar large distances in terms of elevation along an elevational gradient from 866 to 1,788 m a.s.l., including both natural and disturbed habitats. We quantified species richness and abundance of bees, wasps and antagonists, parasitism rates and flower or arthropod food resources.
Keyword(s):
Hymenoptera; Kilimanjaro; Number of broodcells
Further details:
Hemp, Andreas: Detailed position of KiLi research plots. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.894721
Project(s):
Funding:
German Research Foundation (DFG), grant/award no. 107847609: Kilimanjaro Research Group
Coverage:
Median Latitude: -3.283909 * Median Longitude: 37.420799 * South-bound Latitude: -3.390000 * West-bound Longitude: 37.240000 * North-bound Latitude: -3.050000 * East-bound Longitude: 37.680000
Size:
6 datasets

Download Data

Download ZIP file containing all datasets as tab-delimited text — use the following character encoding: