EGU24-12911, updated on 09 Mar 2024
https://doi.org/10.5194/egusphere-egu24-12911
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Flow intermittence patterns in European river networks under climate change: Assessing temporal and spatial changes

Annika Künne1, Louise Mimeau2, Alexandre Devers3, Sven Kralisch4, Flora Branger2, and Jean-Philippe Vidal2
Annika Künne et al.
  • 1Geographic Information Science Group, Institute of Geography, Friedrich Schiller University Jena, Löbdergraben 32, 07743 Jena, Germany
  • 2INRAE, UR RiverLy, 5 rue de la Doua, CS 20244, 69625 Villeurbanne CEDEX, France
  • 3Électricité de France – Division Technique Générale, Saint-Martin-le-Vinoux, France
  • 4Thuringian State Office for the Environment, Mining and Nature Conservation, Göschwitzer Straße 41, 07745 Jena, Germany

Climate change is driving a global shift in river hydrology. Future climate projections estimate that global warming will result in more frequent and intense hydrological droughts in certain regions of the world, including Europe. However, there are currently very few studies investigating the impact of climate change in non-perennial rivers, which are home to a rich aquatic biodiversity and may be particularly vulnerable to an increase in droughts. To comprehend the impact of climate change on drying river networks and its consequences on biodiversity, functional integrity and ecosystem services, it is paramount to model and project flow intermittence under climate change.

In this study, we assess flow intermittence patterns and transitions in six distinct European River Networks from the DRYvER project case studies (Datry et al. 2021), situated in diverse biogeographic regions including Spain, France, Croatia, Hungary, Czech Republic, and Finland. Encompassing watershed areas ranging from 150 km² to 350 km², we employed a hybrid modeling technique to predict spatio-temporal patterns of flow intermittence (Mimeau et al. 2023). Climate projection data were used to force the hybrid models, enabling an evaluation of future changes. Additionally, flow intermittence indicators reflecting impacts on ecological processes were jointly developed in the DRYvER project and computed to assess changes and trends in recent years from 1960 to 2021 and for projected periods up to 2100.

Results indicate that projected drying patterns expand temporally and spatially. Temporally, the increase is related to a higher frequency of ceasing streamflow, but also to prolonged individual drying events. Shifts in the seasonality of flow cessation were also observed, with flow intermittence occurring in atypical seasons, such as winter, and typical drying maxima in summer transitioning to an earlier onset in spring with later ends or second maxima in autumn. Spatially, the increase is related to both, the overall river length affected by flow intermittence and the increase of connected reaches affected by flow cessation, which in turn increases the patchiness of the river network. All streamflow intermittence indicators simulated for the six case studies in the past and future projections can be explored on the interactive web application DRYvER-Hydro (https://dryver-hydro.sk8.inrae.fr/). Besides, the calculated indicators can be utilized by other DRYvER partners for further ecological analysis and modeling. For instance Vilmi et al. (2023) used these indicators, among other data, to assess algal, fungal, bacterial, macroinvertebrate, and fish metacommunities.

This research provides valuable insights into the dynamic interactions between climate change and river hydrology, emphasizing the urgent need for adaptive strategies to mitigate the consequences on water resources, biodiversity, and ecosystem services in European river systems.

References:

Datry et al (2021) Securing Biodiversity, Functional Integrity, and Ecosystem Services in Drying River Networks (DRYvER). Res Ideas Outcomes 7:. https://doi.org/10.3897/rio.7.e77750

Mimeau et al (2023) Flow intermittence prediction using a hybrid hydrological modelling approach : influence of observed intermittence data on the training of a random forest model. 1–30. https://doi.org/10.5194/egusphere-2023-1322

Vilmi et al (2023) D2 . 6 : A report on meta-community spatio-temporal models and meta-community patterns across the six focal DRNs in Europe. https://www.dryver.eu/results/reports-and-documents

How to cite: Künne, A., Mimeau, L., Devers, A., Kralisch, S., Branger, F., and Vidal, J.-P.: Flow intermittence patterns in European river networks under climate change: Assessing temporal and spatial changes, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-12911, https://doi.org/10.5194/egusphere-egu24-12911, 2024.

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