Evidence map›Paper›PMID 38145056›Full record

ArticleJournal of hydrology. Regional studies2023

Increasing volatility of reconstructed Morava River warm-season flow, Czech Republic.

Max C A Torbenson, Rudolf Brázdil, James H Stagge, Jan Esper, Ulf Büntgen, Adam Vizina, Martin Hanel, Oldrich Rakovec, Milan Fischer, Otmar Urban and 6 more

Abstract read
In one paragraph

Article in Journal of hydrology. Regional studies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Max C A TorbensonDepartment of Geography, Johannes Gutenberg University, Mainz, Germany.
Rudolf BrázdilGlobal Change Research Institute of the Czech Academy of Sciences, Brno, Czech Republic.
James H StaggeDepartment of Civil, Environmental, and Geodetic Engineering, Ohio State University, United States.
Jan EsperDepartment of Geography, Johannes Gutenberg University, Mainz, Germany.
Ulf BüntgenGlobal Change Research Institute of the Czech Academy of Sciences, Brno, Czech Republic.
Adam VizinaT.G. Masaryk Water Research Institute, Prague, Czech Republic.
Martin HanelDepartment of Water Resources and Environmental Modeling, Czech University of Life Sciences, Prague, Czech Republic.
Oldrich RakovecDepartment of Water Resources and Environmental Modeling, Czech University of Life Sciences, Prague, Czech Republic.
Milan FischerGlobal Change Research Institute of the Czech Academy of Sciences, Brno, Czech Republic.
Otmar UrbanGlobal Change Research Institute of the Czech Academy of Sciences, Brno, Czech Republic.
Václav TremlDepartment of Physical Geography and Geoecology, Charles University, Prague, Czech Republic.
Frederick ReinigDepartment of Geography, Johannes Gutenberg University, Mainz, Germany.
Edurne Martinez Del CastilloDepartment of Geography, Johannes Gutenberg University, Mainz, Germany.
Michal RybníčekGlobal Change Research Institute of the Czech Academy of Sciences, Brno, Czech Republic.
Tomáš KolářGlobal Change Research Institute of the Czech Academy of Sciences, Brno, Czech Republic.
Miroslav TrnkaGlobal Change Research Institute of the Czech Academy of Sciences, Brno, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Study region: The Morava River basin, Czech Republic, Danube Basin, Central Europe. Study focus: Hydrological summer extremes represent a prominent natural hazard in Central Europe. River low flows constrain transport and water supply for agriculture, industry and society, and flood events are known to cause material damage and human loss. However, understanding changes in the frequency and magnitude of hydrological extremes is associated with great uncertainty due to the limited number of gauge observations. Here, we compile a tree-ring network to reconstruct the July-September baseflow variability of the Morava River from 1745 to 2018 CE. An ensemble of reconstructions was produced to assess the impact of calibration period length and trend on the long-term mean of reconstruction estimates. The final estimates represent the first baseflow reconstruction based on tree rings from the European continent. Simulated flows and historical documentation provide quantitative and qualitative validation of estimates prior to the 20th century. New hydrological insights for the region: The reconstructions indicate an increased variability of warm-season flow during the past 100 years, with the most extreme high and low flows occurring after the start of instrumental observations. When analyzing the entire reconstruction, the negative trend in baseflow displayed by gauges across the basin after 1960 is not unprecedented. We conjecture that even lower flows could likely occur in the future considering that pre-instrumental trends were not primarily driven by rising temperature (and the evaporative demand) in contrast to the recent trends.

Indexed as

BaseflowExtremesMoravaReconstructionTree rings

Identifiers

PMID38145056
PMCPMC10739599

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.