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The Global Dam Watch database of river barrier and reservoir information for large-scale applications
Bernhard Lehner 
,
Penny Beames ,
Mark Mulligan ,
Christiane Zarfl ,
Luca De Felice ,
Arnout van Soesbergen ,
Michele Thieme ,
Carlos Garcia De Leaniz ,
Mira Anand ,
Barbara Belletti ,
Kate A. Brauman ,
Stephanie Januchowski-Hartley,
Kimberly Lyon ,
Lisa Mandle ,
Nick Mazany-Wright,
Mathis L. Messager ,
Tamlin Pavelsky ,
Jean-François Pekel ,
Jida Wang ,
Qingke Wen,
Marcus Wishart,
Tianqi Xing ,
Xiao Yang ,
Jonathan Higgins
,
Penny Beames ,
Mark Mulligan ,
Christiane Zarfl ,
Luca De Felice ,
Arnout van Soesbergen ,
Michele Thieme ,
Carlos Garcia De Leaniz ,
Mira Anand ,
Barbara Belletti ,
Kate A. Brauman ,
Stephanie Januchowski-Hartley,
Kimberly Lyon ,
Lisa Mandle ,
Nick Mazany-Wright,
Mathis L. Messager ,
Tamlin Pavelsky ,
Jean-François Pekel ,
Jida Wang ,
Qingke Wen,
Marcus Wishart,
Tianqi Xing ,
Xiao Yang ,
Jonathan Higgins
Scientific Data, Volume: 11
Swansea University Authors:
Carlos Garcia De Leaniz , Stephanie Januchowski-Hartley
-
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DOI (Published version): 10.1038/s41597-024-03752-9
Abstract
There are millions of river barriers worldwide, ranging from wooden locks to concrete dams, many of which form associated impoundments to store water in small ponds or large reservoirs. Besides their benefits, there is growing recognition of important environmental and social trade-offs related to t...
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| ISSN: | 2052-4463 |
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Springer Nature
2024
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v2 67939 2024-10-09 The Global Dam Watch database of river barrier and reservoir information for large-scale applications 1c70acd0fd64edb0856b7cf34393ab02 0000-0003-1650-2729 Carlos Garcia De Leaniz Carlos Garcia De Leaniz true false b634c6a9429ed84ced10e9033d27659d Stephanie Januchowski-Hartley Stephanie Januchowski-Hartley true false 2024-10-09 BGPS There are millions of river barriers worldwide, ranging from wooden locks to concrete dams, many of which form associated impoundments to store water in small ponds or large reservoirs. Besides their benefits, there is growing recognition of important environmental and social trade-offs related to these artificial structures. However, global datasets describing their characteristics and geographical distribution are often biased towards particular regions or specific applications, such as hydropower dams affecting fish migration, and are thus not globally consistent. Here, we present a new river barrier and reservoir database developed by the Global Dam Watch (GDW) consortium that integrates, harmonizes, and augments existing global datasets to support large-scale analyses. Data curation involved extensive quality control processes to create a single, globally consistent data repository of instream barriers and reservoirs that are co-registered to a digital river network. Version 1.0 of the GDW database contains 41,145 barrier locations and 35,295 associated reservoir polygons representing a cumulative storage capacity of 7,420 km3 and an artificial terrestrial surface water area of 304,600 km2. Journal Article Scientific Data 11 Springer Nature 2052-4463 8 10 2024 2024-10-08 10.1038/s41597-024-03752-9 COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University Another institution paid the OA fee World Wildlife Fund (World Wildlife Fund, Inc.) Identifier: doi https://doi.org/10.13039/100001399; World Bank Group (World Bank) Identifier: doi https://doi.org/10.13039/100004421; McGill University (McGill) Identifier: doi https://doi.org/10.13039/100008582; National Science Foundation (NSF) Grant: DBI-1639145 Identifier: doi https://doi.org/10.13039/100000001; Worldwide Fund for Nature (WWF) Netherlands; European Union’s Horizon 2020 FET Proactive Programme; National Socio-Environmental Synthesis Center (SESYNC); École Universitaire de Recherche H2O’Lyon; GloUrb project; Welsh European Funding Office and European Regional Development Fund. 2024-10-09T09:50:33.9848476 2024-10-09T09:32:44.2259996 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Bernhard Lehner 0000-0003-3712-2581 1 Penny Beames 0009-0001-8913-8836 2 Mark Mulligan 0000-0002-0132-0888 3 Christiane Zarfl 0000-0002-2044-1335 4 Luca De Felice 0000-0003-0549-2123 5 Arnout van Soesbergen 0000-0002-3263-4011 6 Michele Thieme 0000-0003-3216-9129 7 Carlos Garcia De Leaniz 0000-0003-1650-2729 8 Mira Anand 0000-0002-5877-7248 9 Barbara Belletti 0000-0002-6247-7619 10 Kate A. Brauman 0000-0002-8099-285X 11 Stephanie Januchowski-Hartley 12 Kimberly Lyon 0009-0000-6742-0120 13 Lisa Mandle 0000-0002-1420-8529 14 Nick Mazany-Wright 15 Mathis L. Messager 0000-0002-3051-8068 16 Tamlin Pavelsky 0000-0002-0613-3838 17 Jean-François Pekel 0000-0002-9992-6385 18 Jida Wang 0000-0003-3548-8918 19 Qingke Wen 20 Marcus Wishart 21 Tianqi Xing 0009-0003-6171-0532 22 Xiao Yang 0000-0002-0046-832X 23 Jonathan Higgins 24 67939__32557__d020935949e94515a1900a34f2b2eadb.pdf 41597_2024_Article_3752.pdf 2024-10-09T09:32:44.2257832 Output 4793690 application/pdf Version of Record true © The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). true eng http://creativecommons.org/licenses/by/4.0/ |
| title |
The Global Dam Watch database of river barrier and reservoir information for large-scale applications |
| spellingShingle |
The Global Dam Watch database of river barrier and reservoir information for large-scale applications Carlos Garcia De Leaniz Stephanie Januchowski-Hartley |
| title_short |
The Global Dam Watch database of river barrier and reservoir information for large-scale applications |
| title_full |
The Global Dam Watch database of river barrier and reservoir information for large-scale applications |
| title_fullStr |
The Global Dam Watch database of river barrier and reservoir information for large-scale applications |
| title_full_unstemmed |
The Global Dam Watch database of river barrier and reservoir information for large-scale applications |
| title_sort |
The Global Dam Watch database of river barrier and reservoir information for large-scale applications |
| author_id_str_mv |
1c70acd0fd64edb0856b7cf34393ab02 b634c6a9429ed84ced10e9033d27659d |
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1c70acd0fd64edb0856b7cf34393ab02_***_Carlos Garcia De Leaniz b634c6a9429ed84ced10e9033d27659d_***_Stephanie Januchowski-Hartley |
| author |
Carlos Garcia De Leaniz Stephanie Januchowski-Hartley |
| author2 |
Bernhard Lehner Penny Beames Mark Mulligan Christiane Zarfl Luca De Felice Arnout van Soesbergen Michele Thieme Carlos Garcia De Leaniz Mira Anand Barbara Belletti Kate A. Brauman Stephanie Januchowski-Hartley Kimberly Lyon Lisa Mandle Nick Mazany-Wright Mathis L. Messager Tamlin Pavelsky Jean-François Pekel Jida Wang Qingke Wen Marcus Wishart Tianqi Xing Xiao Yang Jonathan Higgins |
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Journal article |
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Scientific Data |
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11 |
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2024 |
| institution |
Swansea University |
| issn |
2052-4463 |
| doi_str_mv |
10.1038/s41597-024-03752-9 |
| publisher |
Springer Nature |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences |
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| description |
There are millions of river barriers worldwide, ranging from wooden locks to concrete dams, many of which form associated impoundments to store water in small ponds or large reservoirs. Besides their benefits, there is growing recognition of important environmental and social trade-offs related to these artificial structures. However, global datasets describing their characteristics and geographical distribution are often biased towards particular regions or specific applications, such as hydropower dams affecting fish migration, and are thus not globally consistent. Here, we present a new river barrier and reservoir database developed by the Global Dam Watch (GDW) consortium that integrates, harmonizes, and augments existing global datasets to support large-scale analyses. Data curation involved extensive quality control processes to create a single, globally consistent data repository of instream barriers and reservoirs that are co-registered to a digital river network. Version 1.0 of the GDW database contains 41,145 barrier locations and 35,295 associated reservoir polygons representing a cumulative storage capacity of 7,420 km3 and an artificial terrestrial surface water area of 304,600 km2. |
| published_date |
2024-10-08T09:50:33Z |
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1812425692230451200 |
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11.030759 |