Articles | Volume 14, issue 10
https://doi.org/10.5194/essd-14-4525-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-4525-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Hydrography90m: a new high-resolution global hydrographic dataset
Giuseppe Amatulli
CORRESPONDING AUTHOR
Yale University, School of the Environment, 195 Prospect Street, New Haven, CT, 06511, USA
Leibniz Institute of Freshwater Ecology and Inland Fisheries, Department of Community and Ecosystem Ecology, Müggelseedamm 310, 12587 Berlin, Germany
Spatial Ecology, 35A, Hazlemere Road, Penn, Buckinghamshire, HP10 8AD, UK
Jaime Garcia Marquez
Leibniz Institute of Freshwater Ecology and Inland Fisheries, Department of Community and Ecosystem Ecology, Müggelseedamm 310, 12587 Berlin, Germany
Tushar Sethi
Spatial Ecology, 35A, Hazlemere Road, Penn, Buckinghamshire, HP10 8AD, UK
Margosa Environmental Solutions Ltd, 35A, Hazlemere Road, Penn, Buckinghamshire, HP10 8AD, UK
Jens Kiesel
Leibniz Institute of Freshwater Ecology and Inland Fisheries, Department of Community and Ecosystem Ecology, Müggelseedamm 310, 12587 Berlin, Germany
Christian-Albrechts-University Kiel, Institute for Natural Resource Conservation, Department of Hydrology and Water Resources Management, Olshausenstr. 75, 24118 Kiel, Germany
Afroditi Grigoropoulou
Leibniz Institute of Freshwater Ecology and Inland Fisheries, Department of Community and Ecosystem Ecology, Müggelseedamm 310, 12587 Berlin, Germany
Christian-Albrechts-University Kiel, Institute for Natural Resource Conservation, Department of Hydrology and Water Resources Management, Olshausenstr. 75, 24118 Kiel, Germany
Maria M. Üblacker
Leibniz Institute of Freshwater Ecology and Inland Fisheries, Department of Community and Ecosystem Ecology, Müggelseedamm 310, 12587 Berlin, Germany
Freie Universität Berlin, Department of Biology, Chemistry, Pharmacy, Institute of Biology, Königin-Luise-Str. 1–3, Berlin, 14195 Germany
Longzhu Q. Shen
Leibniz Institute of Freshwater Ecology and Inland Fisheries, Department of Community and Ecosystem Ecology, Müggelseedamm 310, 12587 Berlin, Germany
Spatial Ecology, 35A, Hazlemere Road, Penn, Buckinghamshire, HP10 8AD, UK
Carnegie Mellon University, Center for Green Science, Pittsburgh, PA 15213, USA
Leibniz Institute of Freshwater Ecology and Inland Fisheries, Department of Community and Ecosystem Ecology, Müggelseedamm 310, 12587 Berlin, Germany
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Cited
28 citations as recorded by crossref.
- hydrographr: An R package for scalable hydrographic data processing M. Schürz et al. 10.1111/2041-210X.14226
- Disentangling Effects of Natural Factors and Human Disturbances on Aquatic Systems—Needs and Approaches L. Wang et al. 10.3390/w15071387
- A global dataset on species occurrences and functional traits of Schizothoracinae fish T. Du et al. 10.1038/s41597-024-03098-2
- Understanding the complex dynamics of zebra mussel invasions over several decades in European rivers: drivers, impacts and predictions P. Haubrock et al. 10.1111/oik.10283
- Dasymetric Algorithms Using Land Cover to Estimate Human Population at Smaller Spatial Scales I. Bonnevie et al. 10.3390/ijgi13120427
- Time series of freshwater macroinvertebrate abundances and site characteristics of European streams and rivers E. Welti et al. 10.1038/s41597-024-03445-3
- The global EPTO database: Worldwide occurrences of aquatic insects A. Grigoropoulou et al. 10.1111/geb.13648
- Bofedal wetland and glacial melt contributions to dry season streamflow in a high‐Andean headwater watershed T. Gribbin et al. 10.1002/hyp.15237
- Metabarcoding reveals ecologically distinct fungal assemblages in river and groundwater along an Austrian alpine to lowland gradient A. Retter et al. 10.1093/femsec/fiae139
- When Data Crosses Borders – Join Forces! B. Ebert et al. 10.52825/cordi.v1i.341
- A global dataset of the shape of drainage systems C. He et al. 10.5194/essd-16-1151-2024
- The recovery of European freshwater biodiversity has come to a halt P. Haase et al. 10.1038/s41586-023-06400-1
- Downscaling future land cover scenarios for freshwater fish distribution models under climate change A. Brunner et al. 10.1016/j.limno.2023.126139
- GeoFRESH – an online platform for freshwater geospatial data processing S. Domisch et al. 10.1080/17538947.2024.2391033
- Flushing away the future: The effects of wastewater treatment plants on aquatic invertebrates D. Enns et al. 10.1016/j.watres.2023.120388
- AltiMaP: altimetry mapping procedure for hydrography data M. Revel et al. 10.5194/essd-16-75-2024
- Technical note: Seamless extraction and analysis of river networks in R L. Carraro 10.5194/hess-27-3733-2023
- Headwater streams in an urbanizing world M. Imberger et al. 10.1086/726682
- Improving calibration of groundwater flow models using headwater streamflow intermittence R. Abhervé et al. 10.1002/hyp.15167
- Permafrost extent sets drainage density in the Arctic J. Del Vecchio et al. 10.1073/pnas.2307072120
- The effects of longitudinal fragmentation on riverine beta diversity are modulated by fragmentation intensity D. Baldan et al. 10.1016/j.scitotenv.2023.166703
- Valuing the information hidden in true long-term data for invasion science P. Haubrock & I. Soto 10.1007/s10530-023-03091-7
- Lake-TopoCat: a global lake drainage topology and catchment database M. Sikder et al. 10.5194/essd-15-3483-2023
- The relationships between biotic uniqueness and abiotic uniqueness are context dependent across drainage basins worldwide H. Snåre et al. 10.1007/s10980-024-01883-3
- Tracking long-term shifts in non-native freshwater macroinvertebrates across three European countries M. Toutain et al. 10.1016/j.scitotenv.2023.167402
- Spatial and temporal effects of heat waves on the diversity of European stream invertebrate communities D. Cortés-Guzmán et al. 10.1016/j.scitotenv.2024.176229
- A database of freshwater macroinvertebrate occurrence records across Cuba Y. Torres-Cambas et al. 10.1038/s41597-023-02088-0
- Hydrography90m: a new high-resolution global hydrographic dataset G. Amatulli et al. 10.5194/essd-14-4525-2022
26 citations as recorded by crossref.
- hydrographr: An R package for scalable hydrographic data processing M. Schürz et al. 10.1111/2041-210X.14226
- Disentangling Effects of Natural Factors and Human Disturbances on Aquatic Systems—Needs and Approaches L. Wang et al. 10.3390/w15071387
- A global dataset on species occurrences and functional traits of Schizothoracinae fish T. Du et al. 10.1038/s41597-024-03098-2
- Understanding the complex dynamics of zebra mussel invasions over several decades in European rivers: drivers, impacts and predictions P. Haubrock et al. 10.1111/oik.10283
- Dasymetric Algorithms Using Land Cover to Estimate Human Population at Smaller Spatial Scales I. Bonnevie et al. 10.3390/ijgi13120427
- Time series of freshwater macroinvertebrate abundances and site characteristics of European streams and rivers E. Welti et al. 10.1038/s41597-024-03445-3
- The global EPTO database: Worldwide occurrences of aquatic insects A. Grigoropoulou et al. 10.1111/geb.13648
- Bofedal wetland and glacial melt contributions to dry season streamflow in a high‐Andean headwater watershed T. Gribbin et al. 10.1002/hyp.15237
- Metabarcoding reveals ecologically distinct fungal assemblages in river and groundwater along an Austrian alpine to lowland gradient A. Retter et al. 10.1093/femsec/fiae139
- When Data Crosses Borders – Join Forces! B. Ebert et al. 10.52825/cordi.v1i.341
- A global dataset of the shape of drainage systems C. He et al. 10.5194/essd-16-1151-2024
- The recovery of European freshwater biodiversity has come to a halt P. Haase et al. 10.1038/s41586-023-06400-1
- Downscaling future land cover scenarios for freshwater fish distribution models under climate change A. Brunner et al. 10.1016/j.limno.2023.126139
- GeoFRESH – an online platform for freshwater geospatial data processing S. Domisch et al. 10.1080/17538947.2024.2391033
- Flushing away the future: The effects of wastewater treatment plants on aquatic invertebrates D. Enns et al. 10.1016/j.watres.2023.120388
- AltiMaP: altimetry mapping procedure for hydrography data M. Revel et al. 10.5194/essd-16-75-2024
- Technical note: Seamless extraction and analysis of river networks in R L. Carraro 10.5194/hess-27-3733-2023
- Headwater streams in an urbanizing world M. Imberger et al. 10.1086/726682
- Improving calibration of groundwater flow models using headwater streamflow intermittence R. Abhervé et al. 10.1002/hyp.15167
- Permafrost extent sets drainage density in the Arctic J. Del Vecchio et al. 10.1073/pnas.2307072120
- The effects of longitudinal fragmentation on riverine beta diversity are modulated by fragmentation intensity D. Baldan et al. 10.1016/j.scitotenv.2023.166703
- Valuing the information hidden in true long-term data for invasion science P. Haubrock & I. Soto 10.1007/s10530-023-03091-7
- Lake-TopoCat: a global lake drainage topology and catchment database M. Sikder et al. 10.5194/essd-15-3483-2023
- The relationships between biotic uniqueness and abiotic uniqueness are context dependent across drainage basins worldwide H. Snåre et al. 10.1007/s10980-024-01883-3
- Tracking long-term shifts in non-native freshwater macroinvertebrates across three European countries M. Toutain et al. 10.1016/j.scitotenv.2023.167402
- Spatial and temporal effects of heat waves on the diversity of European stream invertebrate communities D. Cortés-Guzmán et al. 10.1016/j.scitotenv.2024.176229
Discussed (final revised paper)
Latest update: 13 Dec 2024
Short summary
Streams and rivers drive several processes in hydrology, geomorphology, geography, and ecology. A hydrographic network that accurately delineates streams and rivers, along with their topographic and topological properties, is needed for environmental applications. Using the MERIT Hydro Digital Elevation Model at 90 m resolution, we derived a globally seamless, standardised hydrographic network: Hydrography90m. The validation demonstrates improved accuracy compared to other datasets.
Streams and rivers drive several processes in hydrology, geomorphology, geography, and ecology....
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