Realm: Freshwater
Climate: Temperate
Biome: Small river ecosystems
Central latitude: 50.128403
Central longitude: 9.282551
Duration: 16 years, from 2001 to 2016

1769 records

214 distinct species

Across the time series Baetis is the most frequently occurring species

Methods

A full descrption of the method is given in Haase et al. (2004): https://doi.org/10.1016/S0075-9511(04)80005-7 Identification has been kept constant by following the German "operational taxalist" (mainly species or genus level) Sampling is based on distributing 20 sampling units in habitats proportional to their cover at the sampling site. Habitat cover is estimated in 5% steps and only those habitats which cover more than 5% area at the sampling site are sampled. Each sampling unit (25 x 25 cm) is sampled by means of kick sampling and manual searching using a hand net (25 x 25 cm frame; 500/~m mesh). The AQEM/STAR sorting protocol is done complete- ly in the laboratory and requires that a defined subsample is taken prior to sorting. The subsample corresponds to 1/6 of the sample and at least 700 individuals sorted. If 1/6 of the sample contains < 700 individuals, the subsample is increased until > 700 organisms are sorted. All individuals of the subsample are picked and counted without magnification and then determined. The result is a taxa list giving the number of individuals extrapolated to the whole sample.

Citation(s)

@Article{BioTIME_cit376, Study_id = {628}, Citation_id = {376}, Author = {Haase, Peter and Lohse, Susanne and Pauls, Steffen and Schindeh{\"u}tte, Karin and Sundermann, Andrea and Rolauffs, Peter and Hering, Daniel}, Journal = {Limnologica}, Pages = {349-365}, Title = {Assessing streams in Germany with benthic invertebrates: development of a practical standardised protocol for macroinvertebrate sampling and sorting}, Volume = {34}, Year = {2004}, Doi = {10.1016/S0075-9511(04)80005-7}, Language = {English} }<br/>@Dataset{BioTIME_cit725, Study_id = {628}, Citation_id = {725}, Author = {Haase, Peter}, Publisher = {eLTER}, Title = {Benthic invertebrates from three streams in the Rhine-Main-Observatory - Germany}, Year = {2020}, Doi = {10.23728/B2SHARE.D5B7BBBC5743466D885FB9D6FEE9500A}, Url = {https://b2share.eudat.eu/records/d5b7bbbc5743466d885fb9d6fee9500a}, Language = {en}, Keywords = {3.1.13 ? Biology ? Ecology, biodiversity, species abundance, species presence, species list, species composition, species richness, species monitoring, LTER, long term monitoring, benthic invertebrates}, Copyright = {open} }