Fließgewässerökologie und Naturschutzforschung

b) Potential analyses: First, we will investigate a suite of taxonomic and trait diversity metrics for each time series. Second, we will apply a meta-analytic approach to identify patterns across all the datasets, such as investigating how communities change over time and to which extent changes in taxonomic community composition are mirrored by changes in trait composition. Third, we will calculate trajectories of trends. Fourth, we will test the robustness of our results by applying sensitivity analyses to account for the most likely unbalanced design (e.g., uneven data distribution across Europe). Moreover, we will use a set of environmental variables to investigate potential drivers of change.

If you do have long-term biodiversity data that fulfil the above-described criteria and you are interested in joining our initiative, please send your data to peter.haase@senckenberg.de no later than 30th June 2026 using this template: Long_term_data_template.xlsx. We offer co-authorship to all data providers. We aim to publish the results in a high impact journal. Please, be aware that today most higher tier journals have an “open data policy”. This means that we need to publish your raw data if our manuscript(s) is accepted.