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15 results for “Stream Order”
Water quality measurements, stream order, channel slope and hydraulic equations of conterminous USGS sites: 1919-2009.
Streams and rivers emit petagrams of CO2 yet there is little known about how discharge (Q) variability impacts stream CO2 at broad scales. Herein, we compiled historical water quality (including pH, alkalinity and temperature) measurements for conterminous USGS sites and coupled them with daily Q for this analysis (the water_quality.csv dataset, 10,822 sites). Based on this dataset, NHDplus channel slopes (NHDplus_slopeSO.csv, 24,764 sites) and hydraulic geometry equations (lm_vQ.csv, 12,854 sites), we calculated partial pressure of dissolved CO2 (pCO2), gas transfer velocity (k) and CO2 effluxes (F) for a total of 813 USGS sites across conterminous US. We derived hydrologic responses (log-linear regressions) for pCO2, k and F versus Q at each site and explored how these responses varied across stream order and different regions. Ancillary datasets provided coordinates (coor_sites.xls), hydrologic unit code (HUC.csv), and watershed area of conterminous USGS sites (watersheds_area.csv).
Long term responses of first order streams to allochthonous and detrital manipulations at the Coweeta Hydrologic Laboratory, Otto, NC from 1984 to 2006
This dataset examines the long term effects of litter exclusion, small and large wood removal, and the addition of leaf species of varying detrital quality on organic matter standing crop, export of organic and inorganic particles, and invertebrate abundance and biomass in a high-gradient headwater stream. Pre-treatment and stream reference data are also included. This study was conducted at the Coweeta Hydrologic Laboratory watersheds 53, 54, and 55 from years 1988 through 2006.
Data underlying submission "Tracing stream flow in confluent rivers – a journey from chaos to order"
<p>These data underly the analysis presented in the manuscript "Tracing stream flow in confluent rivers – a journey from chaos to order" by Erwin Zehe, Samuel Schroers and Hubert Savenije.</p> <p>The data used for this analysis are available were taken from the globally available the HydroSHEDS data base <em>at https://www.hydrosheds.org created by Lehner et al. (2008)</em>. The extracted data for analyzing the 18 of the largest Rivers are stored as csv files sorted by river names. The metadata are provided in "HydroSHEDS_TechDoc_v1_4.pdf" and "BasinATLAS_Catalog_v10.pdf".</p> <p>The matal codes for data analysis and simulations were tested and should be self-explaining.</p> <p> Lehner, B., Verdin, K. & Jarvis, A. New Global Hydrography Derived From Spaceborne Elevation Data. <em>Eos, Transactions American Geophysical Union</em> <strong>89</strong>, 93-94, doi:<a href="https://doi.org/10.1029/2008EO100001">https://doi.org/10.1029/2008EO100001</a> (2008).</p>
Data-base for : 'Partitioning carbon sources between wetland and well-drained ecosystems to a tropical first-order stream - Implications to carbon cycling at the watershed scale (Nyong, Cameroon)'
<p>Dataset of carbon (pCO2, TA, DIC, DOC, POC) and ancillary parameters (water temperature, oxygen saturation, pH, specific conducitivity) in ground and surface waters of the Nyong watershed (Cameroon). The dataset covers one entire year (in 2016) and thus allows describing the varability of carbon and ancillary paramaters concentrations induced by seasons.</p>
Figure 5 in Fish fauna of moderate altitude from first order stream in upper Rio Machado, Rondônia, Brazil
Figure 5. Richness per family (A) and relative abundance of species (B) registered in the upper Rio Machado basin.
Figure 4 in Fish fauna of moderate altitude from first order stream in upper Rio Machado, Rondônia, Brazil
Figure 4. Relative diversity of species (A), and relative abundance of specimens (B) per order registered in the upper Rio Machado basin.
Figure 2 in Fish fauna of moderate altitude from first order stream in upper Rio Machado, Rondônia, Brazil
Figure 2. Habitats of the sampled station in the upper Rio Machado, Rio Madeira basin, Rondônia, Brazil.
Figure 1 in Fish fauna of moderate altitude from first order stream in upper Rio Machado, Rondônia, Brazil
Figure 1. Map of the study area from the upper Rio Machado, Rio Madeira basin, Rondônia, Brazil. The sampled station is indicated by the red plus symbol.
Figure 3 in Fish fauna of moderate altitude from first order stream in upper Rio Machado, Rondônia, Brazil
Figure 3. Fishes registered from the tributary of Igarapé Piracolina, upper Rio Machado, Vilhena, Rondônia. Bryconops piracolina (1-2); Creagrutus petilus (3); Hyphessobrycon aff. notidanos (4-5); H. lucenorum (6-7); Hyphessobrycon cf. melanostichos (8); Moenkhausia parecis (9); M. cambacica (10); Erythrinus erythrinus (11); Pyrrhulina sp. nov. (12-13); Ancistrus verecundus (14-15); Tatia intermedia (16); Corydoras hephaestus (17); Megalechis thoracata (18); Cetopsorhamdia clathrata (19); Rhamdia quelen (20); Aequidens aff. rondoni (21); Brachyhypopomus degy (22); Hoplias malabaricus not represented herein.
Stream Order for drainage to streams in the Ipswich or Parker River Network - ASCII Raster File
This datalayer is a gridded data set that identifies for each pixel the stream order that drainage from the pixel initially enters into the river network. The resolution is 120 m x 120 m. Based on the flow direction in: WAT-RGIS-120m-FlowDirection.asc. First order streams at the 120m resolution are equivalent to third order when calculated at the pixel level from the drainage direction grid (i.e. 3rd order pixels are equivalent to 1st order streams, 4th order pixels are second order streams, etc). Idenitify the distribution of inputs from land to streams of different sizes.
Data from: Infection prevalence and density of a pathogenic trematode parasite decrease with stream order along a river continuum
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Water quality and spatial parameters from the main channel of a 6th order stream collected with an uncrewed surface vehicle
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Periphyton carbon and nitrogen stable isotopes detect agricultural stressors in low-order streams
<p>Shifts in the stable isotope signatures of carbon (C) and nitrogen (N) in ecological materials have the potential to indicate environmental disturbances. This study examined the δ<sup>13</sup>C‰ and δ<sup>15</sup>N‰ ratios of stream water and periphyton from low-order streams in a landscape influenced by agricultural activities. Our key purpose was to assess the influence of best management practice (BMP) presence and age on C and N isotope values as a potential water-quality assessment. We collected stream water and periphyton from 19 streams within the Upper Delaware River watershed in New York, USA, in each of 4 management categories: 1) recently applied BMP treatments, 2) long-standing BMPs, 3) streams lacking BMPs, and 4) minimally disturbed reference streams. We sampled and analyzed water and periphyton for δ<sup>13</sup>C‰ and δ<sup>15</sup>N‰ in a repeated-measures design (BMP category ´ time) from April to November 2013. There were large seasonal differences in stream water δ<sup>13</sup>C-dissolved organic C (DIC)‰ and δ<sup>15</sup>NO<sub>3</sub>-N‰, with strong differences between reference and agricultural streams. Periphyton δ<sup>13</sup>C‰ and δ<sup>15</sup>N‰ values also differed strongly across streams draining land with agricultural activities, with 85% higher periphyton δ<sup>15</sup>N‰ signals in all agricultural categories vs reference streams. Periphyton diatom and chlorophyte taxonomic proportions showed the strongest relationship with periphyton δ<sup>13</sup>C‰ values, where diatoms were negatively associated with increasing δ<sup>13</sup>C‰. These results suggest that aqueous and periphytic stable isotopes were sensitive in detecting persistent effects of agriculture on these streams despite BMP mitigation, where nutrient (orthosphosphate, nitrite, and ammonia) levels were non-indicative. These results also suggest that BMPs may not have fully eliminated the negative impacts of agricultural stressors on water quality in impacted streams.</p>
Periphyton carbon and nitrogen stable isotopes detect agricultural stressors in low-order streams
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Corneal High Order Aberrations After Stream Light and Mechanical Photorefractive Keratectomy
ClinicalTrials.gov study NCT06110286. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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