RTG 2300 - Soil microarthropods (Oribatida, Acari) in current and future forest stands of Central Europe


Soil mites are among the most abundant soil microarthropods in forests. To understand forest management effects on soil oribatid mites, we sampled Oribatida from the soil of five forest types replicated at eight sites. Animals were sampled by using a soil corer (ø 5 cm) between November 2017 and January 2018. One soil core was taken in each of the 40 forest stands with the samples taken between trees of the same (pure stands) or different species (mixed stands). Forest stands include five forest types replicated at eight sites in Lower Saxony. Each site comprised three pure stands of European beech (Fagus sylvatica L.), Norway spruce (Picea abies [L.] Karst.) and Douglas fir (Pseudotsuga menziesii (Mirbel) Franco.) as well as two beech-conifer mixtures (European beech/Douglas fir and European beech/Norway spruce). Samples were separated into litter and 0-5 and 5-10 cm soil depths. Soil mites were extracted using high-gradient heat extraction. Animals were collected in 50 % diethylene glycol and then transferred into 70 % ethanol. Oribatida mites were identified using the key of Weigmann (2006). Numbers of Oribatida mites in the three sample depths were summed up. The data record the abundance and community structure of oribatid mites in temperate forests in Central Europe.

DOI https://doi.org/10.1594/PANGAEA.944676
Related Identifier https://doi.org/10.1594/PANGAEA.925228
Related Identifier https://doi.org/10.1594/PANGAEA.923125
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.944676
Creator Lu, Jing-Zhong ORCID logo; Bluhm, Christian; Scheu, Stefan ORCID logo
Publisher PANGAEA
Publication Year 2022
Funding Reference Deutsche Forschungsgemeinschaft, Bonn https://doi.org/10.13039/501100001659 Crossref Funder ID 316045089 https://gepris.dfg.de/gepris/projekt/316045089
Rights Data access is restricted (moratorium, sensitive data, license constraints)
OpenAccess false
Language English
Resource Type Dataset
Format text/tab-separated-values
Size 14400 data points
Discipline Earth System Research
Spatial Coverage (9.281W, 51.665S, 10.814E, 53.201N); Germany
Temporal Coverage Begin 2017-11-22T00:00:00Z
Temporal Coverage End 2018-01-05T00:00:00Z