Evidence map›Paper›PMID 40299863›Full record

ArticlePloS one2025

Spatiotemporal changes in river network connectivity in the Nile River Basin due to hydropower dams.

Anthony Basooma, Astrid Schmidt-Kloiber, Rose Basooma, Herbert Nakiyende, Johannes Kowal, Andrea Funk, Thomas Hein, Florian Borgwardt

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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4 · The record

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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

8 authors.

Anthony BasoomaBOKU University, Institute of Hydrobiology and Aquatic Ecosystem Management, Vienna, Austria.ORCID 0000-0002-8994-9989
Astrid Schmidt-KloiberBOKU University, Institute of Hydrobiology and Aquatic Ecosystem Management, Vienna, Austria.ORCID 0000-0001-8839-5913
Rose BasoomaBOKU University, Institute for Integrative Nature Conservation Research, Vienna, Austria.
Herbert NakiyendeDepartment of Zoology, Entomology and Fisheries Sciences, College of Natural Sciences, Makerere University Kampala, Kampala, Uganda.ORCID 0000-0001-8356-6904
Johannes KowalBOKU University, Institute of Hydrobiology and Aquatic Ecosystem Management, Vienna, Austria.
Andrea FunkBOKU University, Institute of Hydrobiology and Aquatic Ecosystem Management, Vienna, Austria.
Thomas HeinBOKU University, Institute of Hydrobiology and Aquatic Ecosystem Management, Vienna, Austria.ORCID 0000-0002-7767-4607
Florian BorgwardtBOKU University, Institute of Hydrobiology and Aquatic Ecosystem Management, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dams offer indispensable services, including hydropower generation, water for irrigation, and flood mitigation. These barriers disrupt natural river flows, affecting river ecosystems structural and functional connectivity. The number of hydropower dams in the Nile River Basin has increased during the last decades. However, little is known regarding the spatiotemporal variation in the river network fragmentation and the individual dam contributions. We used the Reach Connectivity Index (RCI) and network centrality measures to assess temporal and spatial changes in longitudinal connectivity. We selected the Equatorial Nile and Blue Nile basins, the major hotspots for present and future hydropower developments. We collated 101 existing, under construction, and proposed dams in the Equatorial Nile Basin (ENB) from 1954 to 2035 and 19 dams in the Blue Nile Basin (BNB) from 1925 to 2035. The dams in the ENB have significantly increased over time, with a sharp increase recorded between 2010 and 2015. The mean RCI for the BNB, considering impassable dam scenarios, ranged from 62.5% (SD = 12.5%) in 1925 to 21.35% (11.6%) in 2035. Similarly, in the ENB, the mean RCI for impassable dam scenarios ranged from 50.1% (SD = 2%) in 1954 to 18.1 (12.1%) in 2035. River segments in the middle section of both basins were the most affected. The decline in the mean RCI was significantly higher in the ENB compared to BNB. The reduced connectivity is mainly in the ENB, threatening the basin's biodiversity. Existing dams, including the Grand Ethiopian Renaissance Dam on the BNB and Kakono on the ENB, should have effective fish migratory corridors that allow the passage of fish either upstream or downstream. We also recommend establishing a detailed basin-wide database for barriers and assessing their passability to understand the full extent of the river network fragmentation. We also recommend regular monitoring of barrier impacts by integrating safe, cost-effective methods such as remote sensing and environmental DNA (eDNA) to assess both flora (macrophytes, phytoplankton) and fauna (macroinvertebrates, fish, zooplankton).

Indexed as

Power PlantsRiversAnimalsEcosystemSpatio-Temporal Analysis

Identifiers

PMID40299863
PMCPMC12040129

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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.