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10 results for “river geomorphology”
River network and hydro-geomorphological parameters at 1/12° resolution for global hydrological and climate studies
<p>Global scale river routing models (RRMs) are commonly used in a variety of studies, including studies on the impact of climate change on extreme flows (floods and droughts), water resources monitoring or large scale flood forecasting. Over the last two decades, the increasing number of observational datasets, mainly from satellite missions, and the increasing computing capacities, have allowed better performances of RRMs, namely by increasing their spatial resolution. The spatial resolution of a RRM corresponds to the spatial resolution of its river network, which provides flow direction of all grid cells. River networks may be derived at various spatial resolution by upscaling high resolution hydrography data.<br> This paper presents a new global scale river network at 1/12° derived from the MERIT-Hydro dataset. The river network is generated automatically using an adaptation of the Hierarchical Dominant River Tracing (DRT) algorithm, and its quality is assessed over the 70 largest basins of the world. Although this new river network may be used for a variety of hydrology-related studies, it is here provided with a set of hydro-geomorphological parameters at the same spatial resolution. These parameters are derived during the generation of the river network and are based on the same high resolution dataset, so that the consistency between the river network and the parameters is ensured. The set of parameters includes a description of river stretches (length, slope, width, roughness, bankfull depth), floodplains (roughness, sub-grid topography) and aquifers (transmissivity, porosity, sub-grid topography).<br> The new river network and parameters are assessed by comparing the performances of two global scale simulations with the CTRIP model, one with the current spatial resolution (1/2°) and the other with the new spatial resolution (1/12°). It is shown that CTRIP at 1/12° overall outperforms CTRIP at 1/2°, demonstrating the added value of the spatial resolution increase.<br> The new river network and the consistent hydro-geomorphology parameters may be useful for the scientific community, especially for hydrology and hydro-geology modelling, water resources monitoring or climate studies.</p>
Coweeta LTER Synoptic Data from 56 sampling sites located in the Upper Little Tennessee River Basin from 2009 (geomorphological)
Coweeta LTER researchers sampled fifty-eight stream sites in the Upper Little Tennessee River Basin in February and June of 2009. Sites were selected to represent the range of land cover and land use within the basin. Samples were taken over three days of stable weather and discharge during periods of baseflow. They were used to characterize conditions across the basin during the growing and the non-growing seasons without the influence of elevated discharge. Each entity represents a table found in the downloadable relational database. NOTE: There is only 1 database to download regardless of which entity you choose. A whitepaper on the Synoptic field sampling activites can be found at: http://coweeta.uga.edu/publications/white%20paper%20summary%20of%20synoptic%20sampling.pdf
Geomorphology shapes relationships between animal communities and ecosystem function in large rivers
<p class="MsoNormal"><span>Understanding how the Earth's surface (i.e., 'nature's stage') influences connections between biodiversity and ecosystem function (BEF) is a central objective in ecology. Despite recent calls to examine these connections at multiple trophic levels and at more complex and realistic scales, little is known about how landscape structure shapes BEF relationships among animal communities in nature. We coupled high-resolution habitat mapping with extensive field sampling to quantify connections among the geophysical habitat templet, invertebrate assemblages, and secondary production in two large North American riverscapes. Patterns of sediment size governed invertebrate assemblage structure, with particularly strong effects on composition, richness, and taxonomic and functional diversity. These relationships propagated to drive positive relationships between biodiversity and secondary production that were modified by scale, context-dependencies, and anthropogenic modification. Finally, leveraging spatially explicit descriptions of geophysical and biological properties, we uncovered distinct and nested spatial scales of biodiversity and secondary production, and suggest that multiple geophysical processes simultaneously influence these patterns at different scales. Together, our findings advance our understanding of relationships between the physical templet and patterns of BEF, and help to predict </span>how perturbations to the Earth's surface may propagate to influence biodiversity and energy flux through food webs.<span> </span></p>
Geomorphology shapes relationships between animal communities and ecosystem function in large rivers
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Geomorphology variables predict fish assemblages for forested and endorheic rivers
<p>This dataset contains data from field collections described in the paper: "Shields, R., Pyron, M., Arsenault, E., Thorp, J., Minder, M., Artz, C., Costello, J., Otgonganbat, A., Mendsaikhan, B., Maasri., A. (2022) Geomorphology variables predict fish assemblages for forested and endorheic rivers. Ecology and Evolution. ECE-2021-08-01367". </p> <p>Stream fishes are restricted to specific environments with appropriate habitats for feeding and reproduction. Interactions between streams and surrounding landscapes influence the availability and type of fish habitat, nutrient concentrations, suspended solids, and substrate composition. Valley width and gradient are geomorphological variables that influence the frequency and intensity that a stream interacts with the surrounding landscape. For example, in constrained valleys, canyon walls are steeply-sloped and valleys are narrow, limiting the movement of water into riparian zones. Wide valleys have long, flat floodplains that are inundated with high discharge. We tested for differences in fish assemblages with geomorphology variation among streams in US and Mongolia montane forested and endorheic ecoregions. Montane rivers of Mongolia are pristine and have few invasive species, compared to montane rivers of the western US. Sites where we collected were defined as geomorphologically unique river segments (i.e., functional process zones; FPZs) using an automated ArcGIS-based tool. This tool extracts geomorphic variables at the valley and catchment scales and uses them to cluster stream segments based on their similarity. We collected a representative fish sample from replicates of FPZs. Then, we used constrained ordinations to determine if river geomorphology could predict fish assemblage variation. Our constrained ordination approach using geomorphology to predict fish assemblages resulted in significance using fish taxonomy and traits in several watersheds. The watersheds where constrained ordinations were not successful were next analyzed with unconstrained ordinations to examine patterns among fish taxonomy and traits with geomorphology variables. US and Mongolia montane river fish assemblages varied with geomorphology variables including river elevation, gradient, valley width, channel sinuosity, valley slope, and annual precipitation. These results provide evidence that fish assemblages respond similarly and strongly to geomorphic variables on two continents. We recommend increased conservation of river ecosystems of the US and Mongolia, to prevent further degradation.</p>
Geomorphology variables predict fish assemblages for forested and endorheic rivers
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Permafrost soil database with information on site, topography, geomorphology, hydrology, soil stratigraphy, soil carbon, ground ice isotopes, and vegetation at thermokarst features near Toolik and Noatak River, 2009-2013
This database contains soil and permafrost stratigraphy associated with thermokarst features near Toolik Lake and the Noatak River collected by Torre Jorgenson and Andrew Balser during summers 2009-2011. The Access Database has main data tables (tbl_) for site (environmental), soil stratigraphy, soil physical data, soil chemical data, soil isotopes (ground ice), soil radiocarbon dates, topography and bathymetry, and vegetation cover. The site data includes information of location, observers, geomorphology, topography, hydrology, soil summary characteristics, pH and EC, soil classification, and vegetation cover by species. Soil stratigrapy has information on soil texture and ground ice. Soil physical and chemical data includes lab data on bulk density, moisture, carbon, and nitrogen. The database has 37 reference tables (REF_) that have codes and descriptions for variables used in site, soil stratigraphy, and vegetation cover tables.
Bathymetric and terrain digital model (representative of the geomorphological reference condition) of the river-floodplain system corresponding to the Douro reach between Toro and Zamora (Castilla y León).
<p>Digitally edited digital model to represent the previous geomorphological situation in the Toro-Zamora section.</p>
The role of tropical cyclone on Changjiang River subaqueous delta geomorphology: a numerical investigation of Tropical Cyclone Danas (2019)
<p>ecs_mesh: Model domain used for numerical simulation in Matlab data format.</p> <p>Variable description of ecs_mesh.mat:</p> <p>nodex/nodey: Longitude/Latitude of the vertices of the triangles</p> <p>cellx/celly: Longitude/Latitude of the faces of the triangles</p> <p>nodeh: Bathymetry of the vertices</p> <p>nv: Vertices composition of the triangles</p> <p> </p> <p>model_result_baroclinic: Used FVCOM model output from 2019-07-01 to 2019-08-01 in Matlab data format.</p> <p>Variable description of model_result_baroclinic.mat:</p> <p>SSC: Total suspended sediment concentration of all sediment classes, units: g/L</p> <p>deposition_flux: Deposition flux of suspended sediment, units: kg/m^2/h</p> <p>divergence_sed_flux: depth-integrated divergence of sediment flux, units: kg/m^2/h</p> <p>erosion_flux: Erosion flux of sea-bed surface sediment, units: kg/m^2/h</p> <p>salinity: sea water salinity, units: psu</p> <p>taub: Total bed stress, units: Pa</p> <p>time_model: Time of the results, time zone: LST</p> <p>u: Eastward water velocity, units: m/s</p> <p>v: Northward water velocity, units: m/s</p> <p>zeta: Water surface elevation</p> <p> </p> <p>model_verify: Bed elevation data from ADV, wave parameters from buoy, and bottom suspended sediment concentration from OBS in Matlab data format.</p> <p>Variable description of model_verify.mat:</p> <p>ADV_BEC_xx: Bed Elevation measurement from ADV at Station xx, units: mm</p> <p>ADV_time_xx: Measurement time of bed elevation of ADV at Station xx, time zone: LST</p> <p>Buoy_hs_S1: Significant wave height measurement from Buoy at Station S1, units: m</p> <p>Buoy_time_S1: Measurement time of Buoy at Station S1, time zone: LST</p> <p>Buoy_tpeak_S1: Peak wave period measurement from Buoy at Station S1, units: s</p> <p>OBS_SSC_S1: Suspended sediment concentration measurement from OBS at Station S1, units: g/L</p> <p>OBS_time_S1: Measurement time of OBS at Station S1, time zone: LST</p> <p>tauc_mtke_S1: In-situ bottom shear stress calculated from turbulence kinetic energy method, units: Pa</p> <p>time_mtke_S1: Time of calculated bottom shear stress, time zone: LST</p> <p>time_wind: Time of surface wind at S1 from CFSv2 model from 2019-06-01 to 2019-08-01 time zone: LST</p> <p>u_wind: Eastward velocity of surface wind at S1 from CFSv2 model, units: m/s</p> <p>v_wind: Northward velocity of surface wind at S1 from CFSv2 model, units: m/s</p>
Dataset - River geomorphology and fish diversity around the Manseriche Gorge, the last Andean crossing is in peril
<p>The dataset includes the results from the manuscript "River geomorphology and fish diversity around the Manseriche Gorge, the last Andean crossing is in peril", by Abad et al. (2024) submitted to Water Resources Research, AGU.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.