Avian droppings (combination of fecal matter and urates) provide a non-lethal and non-invasive matrix for measuring pesticide exposures. In the field, droppings may be collected days or weeks after excretion and the persistence of pesticide residues in weathered droppings is not known. Thus, we studied the effects of weathering on pesticide residues in droppings. Domestic chicken (Gallus gallus domesticus) hens were used as a representative species for Order Galliformes. We collected droppings from hens before they were exposed to the pesticides (reference or pre-dose droppings ). Thereafter, the hens were orally administered encapsulated wheat seeds coated with Raxil® PRO Shield (containing the active ingredients imidacloprid, prothioconazole, metalaxyl, and tebuconazole) for consecutive 7 days. During this time, their droppings were collected on days 3, 5, and 8 from the start of the exposure period (post-dose droppings ). The pre-dose and post-dose droppings were weathered for up to 30 days in autumn and spring in shrubsteppe habitat. Droppings were analyzed using HPLC coupled to triple quad LC/MS for parent compound and metabolite residues. No pesticide or its metabolite residues were detected in the weathered reference droppings. No parent pesticide compounds were detected in weathered post-dose droppings but imidacloprid metabolites, imidacloprid-5-hydroxy and imidacloprid-olefin, and the prothioconazole metabolite, desthio-prothioconazole, were detected in all post-dose weathered samples from both seasons. The active ingredients metalaxyl and tebuconazole and their metabolites were not detected in any of the samples. Our results suggest that, depending on the pesticide, its concentration, and the environmental conditions, residues of some pesticides can be detected in droppings weathered for at least 30 days. Knowledge of pesticide persistence in weathered droppings can help refine the quality and quantity of fecal samples that are collected for monitoring pesticide exposures to birds.
Estimates of nitrogen loading from nonpoint sources on Long Island, New York, at or just below the land surface, are essential for assessing the current and future effects of nitrogen on the island’s drinking water and fresh and marine surface receiving waters. Annual estimates of nitrogen loading for the 120 years from 1900 to 2019 for major nonpoint nitrogen sources—septic systems, residential fertilizer, agricultural fertilizer, livestock waste, pet waste, and atmospheric deposition—were made by using a geographic information system to analyze, visualize, and process data sources, and format output data. This analysis provided spatial and temporal estimates of nitrogen loading derived from each nonpoint source at a 500- by 500-foot gridded resolution and represents the total mass of nitrogen applied on, or just below, the land surface annually from 1900 to 2019. These mass estimates are considered unattenuated as they do not reflect the various mechanisms of nitrogen loss, such as plant uptake, overland runoff, and chemical transformations in the soil and unsaturated zones that likely reduce the amount of nitrogen that reaches the water table.
Island-wide and countywide summaries of the estimated nitrogen loading were analyzed to describe the long-term average nitrogen totals and the contributions from the six nonpoint sources. The island-wide average annual nitrogen load from 1900 to 2019 was 14.92 million kilograms (Mkg) nitrogen, which represents the aggregate of individual contributions from septic systems (4.15 Mkg), residential fertilizer (3.28 Mkg), agricultural fertilizer (3.19 Mkg), livestock waste (1.22 Mkg), pet waste (0.98 Mkg), and atmospheric deposition (2.10 Mkg). The island-wide average annual nitrogen load, normalized by area, was 4,100 kilograms nitrogen per square kilometer (kg N/km2), which represents the aggregate of individual contributions from septic systems (1,100 kg N/km2), residential fertilizer (910 kg N/km2), agricultural fertilizer (880 kg N/km2), livestock waste (340 kg N/km2), pet waste (270 kg N/km2), and atmospheric deposition (580 kg N/km2).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245047","programNote":"National Water Quality Program","usgsCitation":"Monti, J., Jr., Walter, D.A., and Jahn, K.L., 2024, Nitrogen load estimates from six nonpoint sources on Long Island, New York, from 1900 to 2019: U.S. Geological Survey Scientific Investigations Report 2024–5047, 40 p., https://doi.org/10.3133/sir20245047.","productDescription":"Report: vi, 40 p.; Data Release","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-113797","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":430660,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5047/coverthb.jpg"},{"id":430665,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MC2LAJ","text":"USGS data release","linkHelpText":"Annual nitrogen load estimates from six nonpoint sources on Long Island, New York, from 1900 to 2019"},{"id":499468,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117117.htm","linkFileType":{"id":5,"text":"html"}},{"id":430664,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5047/images/"},{"id":430663,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5047/sir20245047.XML"},{"id":430662,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245047/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5047 HTML"},{"id":430661,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5047/sir20245047.pdf","text":"Report","size":"4.25 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5047 PDF"}],"country":"United States","state":"New York","otherGeospatial":"Long Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.02511928852329,\n 40.68218751210432\n ],\n [\n -74.04241711735317,\n 40.61984146636081\n ],\n [\n -73.96024588897663,\n 40.51470305180803\n ],\n [\n -73.57529563875842,\n 40.61328064665312\n ],\n [\n -73.00872461020937,\n 40.711699206964624\n ],\n [\n -72.82706852535102,\n 40.72809246976527\n ],\n [\n -72.51134253267655,\n 40.803437312254374\n ],\n [\n -71.82364810847187,\n 41.03873449309313\n ],\n [\n -71.89284965601844,\n 41.113723998451945\n ],\n [\n -72.21290681342221,\n 41.217914881287896\n ],\n [\n -72.6627165098169,\n 41.01915680925052\n ],\n [\n -73.13847751185946,\n 41.002839709762156\n ],\n [\n -73.18604492083178,\n 40.95059491778545\n ],\n [\n -73.31145759896312,\n 40.94732919735483\n ],\n [\n -73.41095044220684,\n 40.97019137918906\n ],\n [\n -73.65314825931426,\n 40.94406140051893\n ],\n [\n -73.78288230142525,\n 40.84925526234707\n ],\n [\n -73.79584578341924,\n 40.79361766159383\n ],\n [\n -73.87367687293711,\n 40.79362055072983\n ],\n [\n -73.90903980024608,\n 40.79462167829007\n ],\n [\n -73.92389759495337,\n 40.78249751209276\n ],\n [\n -73.93657311063014,\n 40.77857350644817\n ],\n [\n -73.93928570688715,\n 40.77163712685007\n ],\n [\n -73.94979738187155,\n 40.758534591172804\n ],\n [\n -73.9630315224905,\n 40.743113924810274\n ],\n [\n -73.96778515613994,\n 40.72948789268287\n ],\n [\n -73.97083994930827,\n 40.71380180805102\n ],\n [\n -73.97999494183452,\n 40.70814705453665\n ],\n [\n -74.00883757884912,\n 40.7017148459239\n ],\n [\n -74.01188750615336,\n 40.68756571016257\n ],\n [\n -74.02511928852329,\n 40.68218751210432\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
The U.S. Geological Survey, in cooperation with the Ohio Department of Natural Resources, performed a two-part study to (1) assess water use and temporal trends and changes in streamflow, and to (2) characterize 2021–23 baseline water quality, as they relate to oil and gas extraction activities in selected eastern Ohio watersheds. Between calendar years 2010 and 2019, hydraulic fracturing water withdrawals totaling about 27,168 million gallons were reported at 643 locations in Ohio. In 2021, wells developed with hydraulic fracturing were the source of most of the oil and gas produced in Ohio.
Daily streamflow time-series data from seven study gages and two reference gages were used to assess temporal trends and changes in streamflow. The study gages were in basins with reported water withdrawals for hydraulic fracturing. The reference gages, which have long periods of record and were subject to minimal streamflow regulation, were in nearby basins with no hydraulic fracturing water withdrawals.
Trend slopes for the period of record annual minimum and median daily streamflows and for annual daily streamflow nonexceedance probabilities less than 0.9 were all uniformly positive at the study and reference gages. This trend indicates a consistently increasing pattern over the periods of record, except for high flows. In addition, analyses of annual streamflow statistics showed no general indication that low flows or extreme low flows at the reference or study gages have lowered, become more frequent, or lengthened in duration since 2010, when records for hydraulic fracturing water withdrawals began in Ohio. In fact, in almost all cases, the opposite was indicated.
Nonexceedance percentiles of daily streamflows were compared between the full and pre-2012 periods of record for reference and study gages. The streamflows associated with nonexceedance percentiles in the lower quartile of daily streamflows determined for the full period of record were larger than or equal to those determined for the pre-2012 period of record for all study and reference gages. This indicates that low flows did not decrease during the post-2011 period of record when water was withdrawn for hydraulic fracturing.
Water-quality data were collected eight times at each of eight sampling sites (six of which were colocated with the study gages). Sampling was done during a variety of flow conditions to assess baseline water quality. In 2021, the 8 sampling sites had drainage basins that were wholly or partially within 7 of the 10 most active counties in Ohio for oil and gas development. As part of the record of baseline conditions, water-quality data were used to assess (1) water types based on major-ion chemistry; (2) sources of salinity to streams; (3) exceedances of aquatic life use criteria; and (4) the correlations between water chemistry and drainage-basin characteristics, such as density of oil and gas wells, density of wastewater treatment plants, or the percentage of different types of land cover (agriculture, developed, forest).
Seven of the water-quality sampling sites were designated as coal-mine impacted based on criteria developed for assessing mine-drainage impacts in Ohio. Mine drainage from historical coal mining in the region likely affected the quality of these streams and complicated the use of some constituents typically used as indicators of oil and gas influence. Based on major-ion chemistry, three main types of water were in the study area―sulfate (three sites), calcium-bicarbonate (one site), and mixed bicarbonate-chloride (four sites) type waters. One site had samples with a higher proportion of sodium and chloride ions than other stream samples, indicating potential contamination with oil-field brine or road salt. Binary mixing curves revealed that 11 samples from 4 of the sampling sites likely contained a component of brine. The results of the baseline assessment of surface-water quality in the study area showed no exceedances of Ohio Environmental Protection Agency aquatic life use criteria. Spearman’s rank correlation coefficients indicated no significant positive correlations with the density of vertical or horizontal oil and gas wells.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245045","collaboration":"Prepared in cooperation with the Ohio Department of Natural Resources","usgsCitation":"Covert, S.A., and Koltun, G.F., 2024, Analysis of water use associated with hydraulic fracturing and determination of baseline water quality in watersheds within the shale play of eastern Ohio, 2021–23: U.S. Geological Survey Scientific Investigations Report 2024–5045, 61 p., https://doi.org/10.3133/sir20245045.","productDescription":"Report: viii, 61 p.; 2 Data Releases","numberOfPages":"61","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-159681","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":430672,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1G2W3JQ","text":"USGS data release","linkHelpText":"Annual streamflow statistics for selected streamgages in and near the shale play area of eastern Ohio (through water year 2021)"},{"id":499467,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117118.htm","linkFileType":{"id":5,"text":"html"}},{"id":430670,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5045/images/"},{"id":430668,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245045/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5045 HTML"},{"id":430667,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5045/sir20245045.pdf","text":"Report","size":"28.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5045 PDF"},{"id":430669,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5045/sir20245045.XML","description":"SIR 2024-5045 XML"},{"id":430666,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5045/coverthb.jpg"},{"id":430671,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1EDHXB9","text":"USGS data release","linkHelpText":"Data from quality-control equipment blanks, field blanks, and field replicates for baseline water quality in watersheds within the shale play of eastern Ohio, 2021–23"}],"country":"United States","state":"Ohio","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.333,\n 41\n ],\n [\n -82.333,\n 39.125\n ],\n [\n -80.666,\n 39.125\n ],\n [\n -80.666,\n 41\n ],\n [\n -82.333,\n 41\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
5957 Lakeside Blvd.
Indianapolis, IN 46278-1996
Managers invest substantial resources to promote recovery of declining anadromous fish stocks. Recovery strategies are manifold and often include management actions intended to stimulate somatic growth, increase in-river survival, and motivate juvenile outmigration during favorable environmental conditions. Evaluating the efficacy of these management actions is difficult, however, because monitoring data that explicitly track individuals from egg deposition to juvenile outmigration are typically lacking. We developed an integrated population model that links two different and often collected types of anadromous fish monitoring data: spawning ground surveys and rotary screw trap juvenile catch data. The integrated model accounts for incomplete detection and uses the two sources of data to estimate juvenile demographic parameters in a multistate framework. We evaluated the model's performance using simulated data under a range of conditions typically encountered in similar surveys. Simulation results indicated that the model estimated juvenile survival, growth, and movement with no-to-minimal bias (i.e., ≥ 50 % of simulations ± 0–0.05). As an example case study, we fit the model to empirical fall-run Chinook Salmon (Oncorhynchus tshawytscha) monitoring data collected in California's Central Valley, U.S.A. In doing so, we evaluated the influence of environmental conditions (e.g., discharge, water temperature) and habitat availability on juvenile demographic rates. We demonstrated that through our integrated approach we could estimate state transition probabilities that are typically inestimable for naturally produced, unmarked juvenile fish when using traditional statistical approaches to analyze these types of monitoring data. Furthermore, the structure of our model can serve as a useful foundation for decision-support models within adaptive management programs by directly linking management actions, decision-support-model predictions, and monitoring.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2024.110780","usgsCitation":"Wohner, P.J., Duarte, A., and Peterson, J., 2024, An integrated analysis for estimation of survival, growth, and movement of unmarked juvenile anadromous fish: Ecological Modelling, v. 495, 110780, 9 p., https://doi.org/10.1016/j.ecolmodel.2024.110780.","productDescription":"110780, 9 p.","ipdsId":"IP-165440","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488126,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2024.110780","text":"Publisher Index Page"},{"id":485452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Clear Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.5906056592707,\n 40.63419131375724\n ],\n [\n -122.5906056592707,\n 40.47941759385591\n ],\n [\n -122.33253791183354,\n 40.47941759385591\n ],\n [\n -122.33253791183354,\n 40.63419131375724\n ],\n [\n -122.5906056592707,\n 40.63419131375724\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"495","noUsgsAuthors":false,"publicationDate":"2024-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Wohner, Patti J.","contributorId":338233,"corporation":false,"usgs":false,"family":"Wohner","given":"Patti","email":"","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":935785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duarte, Adam","contributorId":339254,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":935786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935787,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70269686,"text":"70269686 - 2024 - A comparative analysis of OpenET for evaluating evapotranspiration in California almond orchards","interactions":[],"lastModifiedDate":"2025-07-30T14:53:21.858355","indexId":"70269686","displayToPublicDate":"2024-07-03T09:49:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"A comparative analysis of OpenET for evaluating evapotranspiration in California almond orchards","docAbstract":"The almond industry in California faces water management challenges that are being exacerbated by droughts, climate change, and groundwater sustainability legislation. The Tree-crop Remote sensing of Evapotranspiration eXperiment (T-REX) aims to explore opportunities to improve precision irrigation management for woody perennial cropping systems. Almond orchards in the California Central Valley were equipped with eddy covariance flux measurements to evaluate satellite remote sensing-based evapotranspiration (RSET) models. OpenET provides high-resolution (30-m spatial and daily temporal) RSET data, synthesizing decades of research for practical water management. This study provides an evaluation of OpenET performance at six almond sites covering a large range in soils, age, and variety. It also compares OpenET ensemble evapotranspiration (ET) data with applied irrigation and precipitation records over an additional 148 almond orchards located in the Central Valley of California. Results show OpenET models, including the ensemble ET value, produced reasonable and actionable ET values, with overall coefficient of determination (R2) and mean absolute error values of 0.73- and 0.95-mm d−1 at the daily time step, respectively. However, given the temporal sampling of Landsat (8-day revisit) and the interpolation methods used, the assessed ET models had difficulty in capturing short-term variability in almond ET; for example, the rapid decline in measured ET observed as a response to lack of irrigation preceding and during almond harvest. The study also drew attention to the spatial complexity in scenarios where irrigated orchards are surrounded by hot/dry areas, causing discrepancies between measured and modeled ET values. In comparison with irrigation records, OpenET ensemble ET was capable of quantifying water input (applied irrigation + precipitation) in almond orchards to within 13 % when evaluating monthly data. Initial results presented here reinforce the idea that RSET models, such as in OpenET, are powerful tools, yet their application requires nuanced understanding and careful consideration of local conditions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2024.110146","usgsCitation":"Knipper, K., Anderson, M., Bambach, N., Melton, F., Ellis, Z., Yang, Y., Volk, J.M., McElrone, A., Kustas, W.P., Roby, M., Carrara, W., Castro, S., Kilic, A., Fisher, J.B., Ruhoff, A., Senay, G.B., Morton, C., Saa, S., and Allen, R., 2024, A comparative analysis of OpenET for evaluating evapotranspiration in California almond orchards: Agricultural and Forest Meteorology, v. 355, 110146, 18 p., https://doi.org/10.1016/j.agrformet.2024.110146.","productDescription":"110146, 18 p.","ipdsId":"IP-167142","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":493302,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agrformet.2024.110146","text":"Publisher Index Page"},{"id":493185,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.24346411280976,\n 35.36581404018972\n ],\n [\n -119.04389955946334,\n 35.98229970980546\n ],\n [\n -119.09665048217278,\n 36.489548538637436\n ],\n [\n -120.48964025685427,\n 37.8956809895726\n ],\n [\n -121.30837256179902,\n 39.0131951853744\n ],\n [\n -121.62152001465728,\n 39.13926422978071\n ],\n [\n -122.21612821856195,\n 38.932254764781106\n ],\n [\n -121.71286410491697,\n 37.92123720196997\n ],\n [\n -120.92135482117862,\n 37.048426115873994\n ],\n [\n -120.01788903644467,\n 36.065623999918515\n ],\n [\n -119.49460792137992,\n 35.23527037396478\n ],\n [\n -119.24346411280976,\n 35.36581404018972\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"355","noUsgsAuthors":false,"publicationDate":"2024-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Knipper, Kyle","contributorId":333373,"corporation":false,"usgs":false,"family":"Knipper","given":"Kyle","email":"","affiliations":[{"id":79855,"text":"USDA Agriculture Research Service","active":true,"usgs":false}],"preferred":false,"id":944430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Martha","contributorId":269899,"corporation":false,"usgs":false,"family":"Anderson","given":"Martha","affiliations":[{"id":37009,"text":"USDA Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":944431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bambach, Nicolas","contributorId":358904,"corporation":false,"usgs":false,"family":"Bambach","given":"Nicolas","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":944432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Melton, Forrest","contributorId":223919,"corporation":false,"usgs":false,"family":"Melton","given":"Forrest","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":944433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ellis, Zac","contributorId":358905,"corporation":false,"usgs":false,"family":"Ellis","given":"Zac","affiliations":[{"id":85705,"text":"Olan Food Ingredients","active":true,"usgs":false}],"preferred":false,"id":944434,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yang, Yun","contributorId":333379,"corporation":false,"usgs":false,"family":"Yang","given":"Yun","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":944435,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Volk, J. M.","contributorId":269921,"corporation":false,"usgs":false,"family":"Volk","given":"J.","middleInitial":"M.","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":944436,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McElrone, Andrew J.","contributorId":358906,"corporation":false,"usgs":false,"family":"McElrone","given":"Andrew J.","affiliations":[{"id":85706,"text":"University of California Davis, USDA ARS","active":true,"usgs":false}],"preferred":false,"id":944437,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kustas, William P.","contributorId":29962,"corporation":false,"usgs":false,"family":"Kustas","given":"William","email":"","middleInitial":"P.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":944438,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Roby, Matthew","contributorId":358907,"corporation":false,"usgs":false,"family":"Roby","given":"Matthew","affiliations":[{"id":18168,"text":"USDA ARS","active":true,"usgs":false}],"preferred":false,"id":944439,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Carrara, Will","contributorId":269951,"corporation":false,"usgs":false,"family":"Carrara","given":"Will","email":"","affiliations":[],"preferred":false,"id":944440,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Castro, Sebastian","contributorId":358908,"corporation":false,"usgs":false,"family":"Castro","given":"Sebastian","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":944441,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kilic, Ayse","contributorId":269913,"corporation":false,"usgs":false,"family":"Kilic","given":"Ayse","email":"","affiliations":[{"id":16587,"text":"University of Nebraska Lincoln","active":true,"usgs":false}],"preferred":false,"id":944442,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Fisher, Joshua B.","contributorId":211503,"corporation":false,"usgs":false,"family":"Fisher","given":"Joshua","email":"","middleInitial":"B.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":944443,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Ruhoff, Anderson","contributorId":269919,"corporation":false,"usgs":false,"family":"Ruhoff","given":"Anderson","email":"","affiliations":[{"id":56044,"text":"Universidade Federal do Rio Grande do Sul","active":true,"usgs":false}],"preferred":false,"id":944444,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":944445,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Morton, Charles","contributorId":178787,"corporation":false,"usgs":false,"family":"Morton","given":"Charles","affiliations":[],"preferred":false,"id":944446,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Saa, Sebastian","contributorId":358909,"corporation":false,"usgs":false,"family":"Saa","given":"Sebastian","affiliations":[{"id":85707,"text":"Almond Board of California","active":true,"usgs":false}],"preferred":false,"id":944447,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Allen, Richard G.","contributorId":358910,"corporation":false,"usgs":false,"family":"Allen","given":"Richard G.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":944448,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70265851,"text":"70265851 - 2024 - Characteristics of the fault damage zone From high-resolution seismic imaging along the Palos Verdes Fault, California","interactions":[],"lastModifiedDate":"2025-04-17T13:59:45.59457","indexId":"70265851","displayToPublicDate":"2024-07-03T08:53:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7751,"text":"AGU Advances","active":true,"publicationSubtype":{"id":10}},"title":"Characteristics of the fault damage zone From high-resolution seismic imaging along the Palos Verdes Fault, California","docAbstract":"The distribution and intensity of fault damage zones provides insight into fault activity and its relationship to fluid flow in the crust. Presently, measures of the in-situ distribution of fault damage remain limited and along-strike studies are rare. This study focuses on an offshore section Palos Verdes Fault damage zone that spans 28 km, near Los Angeles, California. To investigate the previously unresolved shallow (∼400 m below the seafloor) fault damage zone we use densely spaced (∼500 m line separation) newly collected sparker multichannel seismic lines and sub-bottom profiles. The combination of high-resolution acquisition methods and specialized seismic processing workflows provide improved imaging of shallow faulting. We apply a multi-trace similarity technique to identify discontinuities in the seismic data that may be attributed to faults and fractures. This fault detection approach reveals diverse fault damage patterns on adjacent seismic profiles. However, a discernible damage zone pattern emerges by stacking multiple damage detection profiles along strike. We find that peak damage identified in this way corresponds to the active main fault strand, confirmed in this study, and thus the technique may be useful for identifying active fault strands elsewhere. Additionally, we observe that the variable width of the damage zone along strike is controlled by fault obliquity. Furthermore, our observations reveal a correlation between fault damage and seafloor fluid seeps visible in the water column, suggesting that damage plays a role in controlling fluid flow around the fault.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023AV001155","usgsCitation":"Alongi, T., Brodsky, E., Kluesner, J., and Brothers, D., 2024, Characteristics of the fault damage zone From high-resolution seismic imaging along the Palos Verdes Fault, California: AGU Advances, v. 5, no. 4, e2023AV001155, 20 p., https://doi.org/10.1029/2023AV001155.","productDescription":"e2023AV001155, 20 p.","ipdsId":"IP-160708","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":488271,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023av001155","text":"Publisher Index Page"},{"id":484677,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Palos Verdes Fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.4,\n 33.75\n ],\n [\n -118.4,\n 33.375\n ],\n [\n -118,\n 33.375\n ],\n [\n -118,\n 33.75\n ],\n [\n -118.4,\n 33.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"5","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Alongi, Travis Vincent 0000-0002-0865-8064","orcid":"https://orcid.org/0000-0002-0865-8064","contributorId":335029,"corporation":false,"usgs":true,"family":"Alongi","given":"Travis Vincent","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":933744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brodsky, Emily","contributorId":299735,"corporation":false,"usgs":false,"family":"Brodsky","given":"Emily","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":933745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kluesner, Jared W. 0000-0003-1701-8832","orcid":"https://orcid.org/0000-0003-1701-8832","contributorId":206367,"corporation":false,"usgs":true,"family":"Kluesner","given":"Jared W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":933746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brothers, Daniel S. 0000-0001-7702-157X","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":210199,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel S.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":933747,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70257549,"text":"70257549 - 2024 - Population density and zooplankton biomass influence anadromous juvenile river herring growth in freshwater lakes","interactions":[],"lastModifiedDate":"2024-09-06T16:53:43.602215","indexId":"70257549","displayToPublicDate":"2024-07-02T09:46:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Population density and zooplankton biomass influence anadromous juvenile river herring growth in freshwater lakes","docAbstract":"Anadromous river herring populations, collectively alewife (Alosa pseudoharengus) and blueback herring (Alosa aestivalis), have experienced a multi-century decline in abundance and distribution. These declines have been attributed in part to anthropogenic threats in freshwater ecosystems (e.g., habitat fragmentation, overharvest, water pollution, watershed development). An understanding of variability in juvenile productivity and growth is critical to developing restoration approaches. We characterized variability in juvenile river herring growth among 11 freshwater lakes in the northeastern USA. We used age estimates from otoliths and length measurements to calculate growth rates of juvenile river herring (n = 1452). We tested the effects of juvenile river herring densities, zooplankton (biomass and size), habitat area (based on thermocline depth), and water quality (temperature, nutrients, chlorophyll a) on juvenile growth. Mean monthly growth rates ranged from 0.56 to 1.41 mm/d and typically increased throughout the summer. Increased juvenile growth was best predicted by lower juvenile density (β = − 0.104, P < 0.001) and higher zooplankton biomass (β = 0.032, P < 0.05). Combined with information about juvenile densities and mortality, these results broaden the understanding of anadromous juvenile river herring productivity, provide information that can contribute to refining stock assessment and life cycle models, and help to better understand the potential impacts of habitat conservation and restoration decisions.
","language":"English","publisher":"Springer Link","doi":"10.1007/s10641-024-01565-8","usgsCitation":"Devine, M., Bittner, S., Roy, A.H., Gahagan, B.I., Armstrong, M., and Jordaan, A., 2024, Population density and zooplankton biomass influence anadromous juvenile river herring growth in freshwater lakes: Environmental Biology of Fishes, v. 107, p. 755-770, https://doi.org/10.1007/s10641-024-01565-8.","productDescription":"16 p.","startPage":"755","endPage":"770","ipdsId":"IP-162984","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":433573,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-71.860513,41.320248],[-71.886302,41.33641],[-71.945652,41.337799],[-71.988153,41.320577],[-72.084487,41.319634],[-72.11182,41.299098],[-72.184122,41.323997],[-72.212924,41.291365],[-72.248161,41.299488],[-72.261487,41.282926],[-72.333894,41.282916],[-72.386629,41.261798],[-72.398688,41.278172],[-72.451925,41.278885],[-72.506634,41.260099],[-72.529416,41.264421],[-72.546833,41.250718],[-72.583336,41.271698],[-72.617237,41.271998],[-72.671673,41.267151],[-72.69547,41.244948],[-72.754444,41.266913],[-72.895445,41.243697],[-72.89637,41.263949],[-72.916827,41.282033],[-73.013465,41.205479],[-73.054947,41.208468],[-73.07761,41.195176],[-73.107987,41.168738],[-73.108352,41.153718],[-73.130253,41.146797],[-73.177774,41.166697],[-73.235058,41.143996],[-73.262358,41.117496],[-73.286759,41.127896],[-73.372296,41.10402],[-73.435063,41.056696],[-73.468239,41.051347],[-73.477364,41.035997],[-73.493327,41.048173],[-73.516903,41.038738],[-73.528866,41.016397],[-73.535338,41.03192],[-73.570068,41.001597],[-73.603952,41.015054],[-73.643478,41.002171],[-73.657336,40.985171],[-73.662672,41.020497],[-73.727775,41.100696],[-73.482709,41.21276],[-73.550961,41.295422],[-73.489615,42.000092],[-73.487314,42.049638],[-73.496879,42.049675],[-73.508142,42.086257],[-73.264957,42.74594],[-73.276421,42.746019],[-73.290944,42.80192],[-73.278673,42.83341],[-73.241589,43.534973],[-73.258631,43.564949],[-73.293536,43.578518],[-73.306234,43.628018],[-73.371889,43.624489],[-73.39196,43.569915],[-73.430947,43.587036],[-73.417827,43.620586],[-73.426463,43.642598],[-73.350707,43.770463],[-73.390302,43.817371],[-73.372247,43.845337],[-73.381501,43.859235],[-73.37415,43.874163],[-73.407742,43.929887],[-73.407739,44.021312],[-73.43688,44.042578],[-73.390805,44.189072],[-73.313422,44.264199],[-73.334939,44.364441],[-73.293855,44.437556],[-73.306707,44.500334],[-73.342932,44.551907],[-73.374389,44.575455],[-73.38982,44.61721],[-73.361308,44.694523],[-73.365561,44.741786],[-73.333154,44.788759],[-73.335443,44.804602],[-73.381359,44.845021],[-73.338482,44.924112],[-73.337906,44.960541],[-73.354112,44.984062],[-73.343124,45.01084],[-72.845633,45.016659],[-72.310073,45.003822],[-71.502487,45.013367],[-71.491148,45.041774],[-71.505222,45.048791],[-71.497917,45.070589],[-71.427208,45.127364],[-71.437216,45.142333],[-71.39781,45.203553],[-71.443882,45.235462],[-71.38317,45.234904],[-71.357253,45.253336],[-71.362831,45.267617],[-71.284396,45.302434],[-71.231572,45.253472],[-71.196658,45.253594],[-71.180905,45.239858],[-71.13943,45.242958],[-71.097772,45.301906],[-71.00905,45.319022],[-71.002563,45.327819],[-71.01292,45.343297],[-71.004848,45.345419],[-70.985595,45.332188],[-70.950824,45.33453],[-70.921435,45.313867],[-70.912111,45.296197],[-70.9217,45.279445],[-70.898565,45.258502],[-70.898482,45.244088],[-70.857042,45.22916],[-70.83877,45.237555],[-70.848554,45.263325],[-70.808613,45.311606],[-70.819828,45.340109],[-70.802648,45.364933],[-70.826033,45.398408],[-70.798677,45.424146],[-70.755567,45.428361],[-70.712286,45.390611],[-70.677995,45.394362],[-70.651175,45.377123],[-70.634661,45.383608],[-70.635498,45.427817],[-70.717047,45.487732],[-70.723167,45.507606],[-70.687605,45.549099],[-70.688214,45.563981],[-70.644687,45.607083],[-70.592252,45.629865],[-70.5584,45.666671],[-70.525831,45.666551],[-70.469869,45.701639],[-70.400404,45.719834],[-70.383552,45.734869],[-70.417641,45.79377],[-70.395907,45.798885],[-70.387916,45.819043],[-70.34244,45.852192],[-70.284204,45.872034],[-70.253704,45.902981],[-70.263315,45.920152],[-70.24092,45.939095],[-70.252963,45.955234],[-70.31297,45.961856],[-70.309725,45.98021],[-70.287754,45.99182],[-70.317629,46.01908],[-70.278169,46.059671],[-70.306734,46.061344],[-70.284554,46.098713],[-70.254021,46.0996],[-70.239566,46.142762],[-70.292736,46.191599],[-70.272054,46.209833],[-70.248421,46.267072],[-70.205719,46.299865],[-70.208733,46.328961],[-70.191412,46.348072],[-70.141164,46.362669],[-70.096286,46.40943],[-70.057061,46.415036],[-69.997086,46.69523],[-69.22442,47.459686],[-69.146439,47.44886],[-69.082508,47.423976],[-69.043947,47.427634],[-69.039818,47.386309],[-69.053885,47.377878],[-69.050367,47.259821],[-69.033456,47.240984],[-68.90524,47.180919],[-68.717867,47.240919],[-68.607906,47.247497],[-68.582984,47.285493],[-68.546641,47.28298],[-68.507432,47.296636],[-68.470282,47.296804],[-68.448844,47.282547],[-68.376829,47.28852],[-68.380334,47.340242],[-68.329879,47.36023],[-68.234604,47.355035],[-68.15515,47.32542],[-68.137059,47.296068],[-67.955669,47.199542],[-67.883844,47.105834],[-67.789761,47.065744],[-67.781095,45.943032],[-67.750422,45.917898],[-67.803318,45.883718],[-67.796514,45.859961],[-67.755068,45.82367],[-67.806598,45.794723],[-67.806308,45.755405],[-67.781892,45.731189],[-67.809833,45.729274],[-67.803148,45.696127],[-67.817892,45.693705],[-67.805483,45.680241],[-67.720401,45.662522],[-67.729908,45.689012],[-67.64581,45.613597],[-67.644206,45.62322],[-67.631762,45.621409],[-67.606172,45.606533],[-67.499444,45.587014],[-67.455406,45.604665],[-67.429716,45.583773],[-67.420976,45.550029],[-67.435044,45.528783],[-67.416416,45.503515],[-67.462882,45.508691],[-67.503157,45.485367],[-67.482353,45.460825],[-67.473366,45.425328],[-67.418747,45.37726],[-67.434281,45.365438],[-67.430489,45.348751],[-67.453469,45.328246],[-67.460554,45.300379],[-67.489464,45.282653],[-67.43998,45.227047],[-67.404629,45.159926],[-67.345585,45.126392],[-67.298209,45.146672],[-67.299238,45.168937],[-67.283619,45.192022],[-67.227324,45.163652],[-67.203933,45.171407],[-67.161247,45.162879],[-67.112414,45.112323],[-67.090786,45.068721],[-67.117688,45.05673],[-67.082074,45.029608],[-67.033474,44.939923],[-66.984466,44.912557],[-66.990351,44.882551],[-66.978142,44.856963],[-66.996523,44.844654],[-66.986318,44.820657],[-66.950569,44.814539],[-66.97626,44.808315],[-67.02615,44.768199],[-67.062239,44.769543],[-67.073439,44.741957],[-67.098931,44.741311],[-67.103957,44.717444],[-67.155119,44.66944],[-67.213025,44.63922],[-67.24726,44.641664],[-67.293403,44.599265],[-67.314938,44.598215],[-67.32297,44.609394],[-67.293665,44.634316],[-67.292462,44.648455],[-67.309627,44.659316],[-67.299176,44.705705],[-67.308538,44.707454],[-67.355966,44.69906],[-67.376742,44.681852],[-67.363158,44.631825],[-67.377554,44.619757],[-67.386605,44.626974],[-67.405492,44.594236],[-67.428367,44.609136],[-67.457747,44.598014],[-67.505804,44.636837],[-67.551133,44.621938],[-67.575056,44.560659],[-67.568159,44.531117],[-67.648506,44.525403],[-67.685861,44.537155],[-67.702649,44.527922],[-67.698872,44.51575],[-67.71419,44.495238],[-67.733986,44.496252],[-67.743353,44.497418],[-67.753854,44.543661],[-67.774001,44.547438],[-67.781556,44.520577],[-67.79726,44.520685],[-67.808837,44.544081],[-67.839896,44.558771],[-67.856684,44.523934],[-67.851648,44.484901],[-67.868774,44.465272],[-67.855108,44.419434],[-67.887323,44.433066],[-67.899571,44.394078],[-67.92132,44.433066],[-67.931453,44.411848],[-67.955737,44.416278],[-67.978876,44.387034],[-68.006102,44.409562],[-68.044296,44.357938],[-68.049334,44.33073],[-68.067047,44.335692],[-68.077873,44.373047],[-68.090045,44.371369],[-68.11229,44.401588],[-68.117746,44.475038],[-68.150904,44.482383],[-68.194554,44.47189],[-68.189937,44.484901],[-68.213861,44.492456],[-68.227292,44.479865],[-68.224354,44.464335],[-68.261708,44.484062],[-68.270522,44.459718],[-68.298223,44.449225],[-68.299063,44.437893],[-68.247438,44.433276],[-68.249956,44.417747],[-68.184532,44.369145],[-68.173608,44.328397],[-68.191924,44.306675],[-68.233435,44.288578],[-68.289409,44.283858],[-68.298643,44.26665],[-68.290818,44.247673],[-68.317588,44.225101],[-68.339498,44.222893],[-68.401268,44.252244],[-68.430946,44.298624],[-68.430853,44.312609],[-68.411965,44.322262],[-68.421619,44.336113],[-68.398035,44.376191],[-68.360318,44.389674],[-68.3791,44.430049],[-68.427874,44.3968],[-68.429648,44.439136],[-68.455095,44.447498],[-68.46382,44.436592],[-68.461072,44.378504],[-68.483317,44.388157],[-68.472824,44.404106],[-68.480379,44.432647],[-68.529905,44.39907],[-68.565161,44.39907],[-68.545434,44.355],[-68.566936,44.317603],[-68.556236,44.300819],[-68.538595,44.299902],[-68.519516,44.265046],[-68.529802,44.249594],[-68.525302,44.227554],[-68.603385,44.27471],[-68.682979,44.299201],[-68.733004,44.328388],[-68.762021,44.329597],[-68.795063,44.30786],[-68.827197,44.31216],[-68.814811,44.362194],[-68.821767,44.40894],[-68.783679,44.473879],[-68.829153,44.462242],[-68.880271,44.428112],[-68.897104,44.450643],[-68.927452,44.448039],[-68.946582,44.429108],[-68.982449,44.426195],[-68.990767,44.415033],[-68.948164,44.355882],[-68.954465,44.32405],[-68.979005,44.296327],[-69.003682,44.294582],[-69.005071,44.274071],[-69.040193,44.233673],[-69.054546,44.171542],[-69.077776,44.165043],[-69.080331,44.117824],[-69.100863,44.104529],[-69.092,44.085734],[-69.056303,44.095162],[-69.031878,44.079036],[-69.048917,44.062506],[-69.064299,44.069911],[-69.079805,44.055256],[-69.073767,44.046135],[-69.125738,44.019623],[-69.124475,44.007419],[-69.170345,43.995637],[-69.214205,43.935583],[-69.259838,43.921427],[-69.280498,43.95744],[-69.31427,43.942951],[-69.305176,43.956676],[-69.331411,43.974311],[-69.366702,43.964755],[-69.398455,43.971804],[-69.423324,43.915507],[-69.459637,43.903316],[-69.483498,43.88028],[-69.50329,43.837673],[-69.514889,43.831298],[-69.520301,43.868498],[-69.543912,43.881615],[-69.552606,43.841347],[-69.575466,43.841972],[-69.588551,43.81836],[-69.604179,43.813551],[-69.592373,43.830895],[-69.594705,43.858878],[-69.621086,43.826814],[-69.634932,43.845907],[-69.649798,43.836287],[-69.653337,43.79103],[-69.692429,43.824336],[-69.705838,43.823024],[-69.719723,43.786685],[-69.752801,43.75594],[-69.780097,43.755397],[-69.778494,43.747089],[-69.835323,43.721125],[-69.838689,43.70514],[-69.851297,43.703581],[-69.858947,43.740531],[-69.868673,43.742701],[-69.862155,43.758962],[-69.869732,43.775656],[-69.884066,43.778035],[-69.927011,43.780174],[-69.953246,43.768806],[-69.982574,43.750801],[-70.001645,43.717666],[-69.998793,43.740385],[-70.041351,43.738053],[-69.99821,43.798684],[-70.026193,43.822587],[-70.002874,43.848239],[-70.009869,43.859315],[-70.064671,43.813259],[-70.080995,43.819672],[-70.107229,43.809178],[-70.176023,43.76079],[-70.172525,43.773615],[-70.190014,43.771866],[-70.215666,43.707737],[-70.254144,43.676839],[-70.211204,43.625765],[-70.217087,43.596717],[-70.20112,43.586515],[-70.196911,43.565146],[-70.244331,43.551849],[-70.272497,43.562616],[-70.361214,43.52919],[-70.385615,43.487031],[-70.380233,43.46423],[-70.349684,43.442032],[-70.370514,43.434133],[-70.39089,43.402607],[-70.421282,43.395777],[-70.460717,43.34325],[-70.517695,43.344037],[-70.553854,43.321886],[-70.593907,43.249295],[-70.575787,43.221859],[-70.618973,43.163625],[-70.638355,43.114182],[-70.673114,43.070314],[-70.703818,43.059825],[-70.704696,43.070989],[-70.718936,43.03235],[-70.810069,42.909549],[-70.817731,42.850613],[-70.80522,42.781798],[-70.770453,42.704824],[-70.778552,42.69852],[-70.728845,42.663877],[-70.689402,42.653319],[-70.630077,42.692699],[-70.620031,42.688006],[-70.623815,42.665481],[-70.595474,42.660336],[-70.591469,42.639821],[-70.61842,42.62864],[-70.654727,42.582234],[-70.675747,42.594669],[-70.698574,42.577393],[-70.871382,42.546404],[-70.866279,42.522617],[-70.842091,42.519495],[-70.831091,42.503596],[-70.835991,42.490496],[-70.857791,42.490296],[-70.894292,42.460896],[-70.917693,42.467996],[-70.934993,42.457896],[-70.933155,42.437833],[-70.901992,42.420297],[-70.936393,42.418097],[-70.943612,42.452092],[-70.96047,42.446166],[-70.990595,42.407098],[-70.953022,42.343973],[-70.998253,42.352788],[-71.01568,42.326019],[-71.000948,42.302483],[-71.0049,42.28272],[-70.98909,42.267449],[-70.910941,42.265412],[-70.895778,42.292436],[-70.915588,42.302463],[-70.882764,42.30886],[-70.851093,42.26827],[-70.770964,42.249197],[-70.722269,42.207959],[-70.714301,42.168783],[-70.63848,42.081579],[-70.647349,42.076331],[-70.643208,42.050821],[-70.66936,42.037116],[-70.670934,42.007786],[-70.695809,42.013346],[-70.710034,41.999544],[-70.662476,41.960592],[-70.616491,41.940204],[-70.583572,41.950007],[-70.552941,41.929641],[-70.525567,41.85873],[-70.54103,41.815754],[-70.471552,41.761563],[-70.375341,41.738779],[-70.290957,41.734312],[-70.263654,41.714115],[-70.189254,41.751982],[-70.024734,41.787364],[-70.003842,41.80852],[-70.009013,41.876625],[-70.000188,41.886938],[-70.024335,41.89882],[-70.030537,41.929154],[-70.044995,41.930049],[-70.065671,41.911658],[-70.064084,41.878924],[-70.070889,41.882973],[-70.077421,41.985497],[-70.095595,42.032832],[-70.155415,42.062409],[-70.186816,42.05045],[-70.194456,42.03947],[-70.186295,42.021308],[-70.196693,42.022429],[-70.245385,42.063733],[-70.225626,42.078601],[-70.189305,42.082337],[-70.115968,42.067638],[-70.058531,42.040363],[-69.986085,41.949597],[-69.935952,41.809422],[-69.928261,41.6917],[-69.947599,41.645394],[-69.967869,41.627503],[-69.988215,41.554704],[-70.004136,41.54212],[-70.016584,41.550772],[-69.994357,41.576846],[-69.973153,41.646963],[-70.007011,41.671579],[-70.191061,41.645259],[-70.245867,41.628479],[-70.265424,41.609333],[-70.28132,41.635125],[-70.351634,41.634687],[-70.379151,41.611361],[-70.437246,41.605329],[-70.485571,41.554244],[-70.633607,41.538254],[-70.79027,41.446339],[-70.948431,41.409193],[-70.928165,41.431265],[-70.906011,41.425708],[-70.802186,41.460864],[-70.658659,41.543385],[-70.64204,41.583066],[-70.652449,41.60521],[-70.640003,41.624616],[-70.652614,41.637829],[-70.638695,41.649427],[-70.646308,41.678433],[-70.661475,41.681756],[-70.623652,41.707398],[-70.718739,41.73574],[-70.728933,41.723433],[-70.719575,41.685002],[-70.755347,41.694326],[-70.765463,41.641575],[-70.809118,41.656437],[-70.816351,41.645995],[-70.800215,41.631753],[-70.810279,41.624873],[-70.852518,41.626919],[-70.852551,41.588526],[-70.86836,41.622664],[-70.887643,41.632422],[-70.913202,41.619266],[-70.899981,41.593504],[-70.927172,41.611253],[-70.931338,41.5842],[-70.946911,41.581089],[-70.931545,41.540169],[-70.979225,41.530427],[-71.035514,41.499047],[-71.085663,41.509292],[-71.136867,41.493942],[-71.19302,41.457931],[-71.190167,41.484285],[-71.206382,41.499215],[-71.200788,41.514371],[-71.213563,41.545818],[-71.212417,41.61829],[-71.240709,41.619225],[-71.227989,41.528297],[-71.24071,41.474872],[-71.285639,41.487805],[-71.304394,41.454502],[-71.337695,41.448902],[-71.362743,41.460379],[-71.316519,41.47756],[-71.330831,41.518364],[-71.288376,41.573274],[-71.271862,41.623986],[-71.251082,41.63878],[-71.212136,41.641945],[-71.19564,41.67509],[-71.224798,41.710498],[-71.240991,41.697744],[-71.24155,41.667205],[-71.25956,41.642595],[-71.280366,41.672575],[-71.299159,41.649531],[-71.306095,41.672575],[-71.291217,41.702666],[-71.31482,41.723808],[-71.350057,41.727835],[-71.37791,41.666646],[-71.390775,41.680629],[-71.445923,41.691144],[-71.444468,41.664409],[-71.409302,41.662643],[-71.40377,41.589321],[-71.447712,41.5804],[-71.414825,41.523126],[-71.417621,41.477934],[-71.430744,41.470636],[-71.433612,41.444995],[-71.455845,41.432986],[-71.455371,41.407962],[-71.483295,41.371722],[-71.555381,41.373316],[-71.857432,41.306318],[-71.860513,41.320248]]],[[[-70.827398,41.602067],[-70.820918,41.587673],[-70.830087,41.585385],[-70.837632,41.595374],[-70.827398,41.602067]]],[[[-70.59628,41.471905],[-70.567356,41.471208],[-70.547567,41.415831],[-70.506984,41.400242],[-70.501306,41.385391],[-70.484503,41.38629],[-70.463833,41.419145],[-70.450431,41.420703],[-70.451084,41.348161],[-70.709826,41.341723],[-70.747541,41.329952],[-70.775665,41.300982],[-70.838777,41.347209],[-70.812309,41.355745],[-70.774974,41.349176],[-70.686881,41.441334],[-70.603555,41.482384],[-70.59628,41.471905]]],[[[-70.092142,41.297741],[-70.062565,41.308726],[-70.031332,41.339332],[-70.030924,41.367453],[-70.049564,41.3879],[-70.033514,41.385816],[-69.960181,41.264546],[-70.001586,41.239353],[-70.118669,41.242351],[-70.256164,41.288123],[-70.275526,41.310464],[-70.229541,41.290171],[-70.092142,41.297741]]],[[[-70.152589,43.746794],[-70.145911,43.772119],[-70.128271,43.774009],[-70.152589,43.746794]]],[[[-70.171245,43.663498],[-70.205934,43.633633],[-70.211062,43.641842],[-70.188047,43.673762],[-70.171245,43.663498]]],[[[-70.186213,43.682655],[-70.21313,43.662973],[-70.201893,43.685483],[-70.186213,43.682655]]],[[[-70.163884,43.692404],[-70.135563,43.700658],[-70.168227,43.675136],[-70.163884,43.692404]]],[[[-70.087621,43.699913],[-70.115908,43.682978],[-70.095727,43.709278],[-70.087621,43.699913]]],[[[-70.119671,43.748621],[-70.097318,43.757292],[-70.124136,43.70832],[-70.138711,43.727559],[-70.119671,43.748621]]],[[[-68.499465,44.12419],[-68.491521,44.109833],[-68.51706,44.10341],[-68.511266,44.125082],[-68.499465,44.12419]]],[[[-68.358388,44.125082],[-68.346724,44.127749],[-68.330716,44.110598],[-68.365176,44.101464],[-68.376593,44.112207],[-68.358388,44.125082]]],[[[-68.453236,44.189998],[-68.416434,44.187047],[-68.384903,44.154955],[-68.438518,44.11618],[-68.456813,44.145268],[-68.502096,44.152388],[-68.453236,44.189998]]],[[[-68.680773,44.279242],[-68.623554,44.255622],[-68.605906,44.230772],[-68.624994,44.197637],[-68.618872,44.18107],[-68.681899,44.138212],[-68.720435,44.169185],[-68.714313,44.20376],[-68.722956,44.219607],[-68.680458,44.262105],[-68.680773,44.279242]]],[[[-68.355279,44.199096],[-68.31606,44.200244],[-68.347416,44.169459],[-68.378872,44.184222],[-68.355279,44.199096]]],[[[-68.472831,44.219767],[-68.453843,44.201683],[-68.48452,44.202886],[-68.482726,44.227058],[-68.470323,44.22832],[-68.472831,44.219767]]],[[[-68.792139,44.237819],[-68.769833,44.222787],[-68.780055,44.203129],[-68.829593,44.21689],[-68.839422,44.236547],[-68.792139,44.237819]]],[[[-68.23638,44.266254],[-68.211329,44.257074],[-68.23713,44.25343],[-68.248913,44.235443],[-68.274427,44.237099],[-68.274719,44.258675],[-68.23638,44.266254]]],[[[-68.498637,44.369686],[-68.478785,44.319563],[-68.489641,44.313705],[-68.530394,44.333583],[-68.518573,44.381022],[-68.501364,44.382281],[-68.498637,44.369686]]],[[[-68.618212,44.012367],[-68.635315,44.018886],[-68.652881,44.003845],[-68.661594,44.075837],[-68.6181,44.096706],[-68.584074,44.070578],[-68.601099,44.058362],[-68.618212,44.012367]]],[[[-68.785601,44.053503],[-68.818441,44.032046],[-68.889717,44.032516],[-68.913406,44.08519],[-68.907812,44.105518],[-68.943105,44.10973],[-68.935327,44.13038],[-68.917286,44.148239],[-68.825067,44.186338],[-68.818423,44.160978],[-68.780693,44.143274],[-68.820515,44.130198],[-68.772639,44.078439],[-68.785601,44.053503]]],[[[-67.619761,44.519754],[-67.582113,44.513459],[-67.590627,44.49415],[-67.562651,44.472104],[-67.574206,44.45173],[-67.588346,44.449754],[-67.619761,44.519754]]],[[[-68.942826,44.281073],[-68.919301,44.309872],[-68.90353,44.378613],[-68.868444,44.38144],[-68.860649,44.364425],[-68.896587,44.321986],[-68.88746,44.303094],[-68.916872,44.242866],[-68.95189,44.218719],[-68.965264,44.259332],[-68.942826,44.281073]]],[[[-71.383586,41.464782],[-71.399568,41.448596],[-71.395927,41.492215],[-71.378914,41.504948],[-71.392137,41.524468],[-71.373618,41.573214],[-71.359868,41.556308],[-71.360403,41.483121],[-71.383586,41.464782]]],[[[-71.326769,41.491286],[-71.327822,41.482985],[-71.343013,41.495615],[-71.326769,41.491286]]],[[[-71.3312,41.580318],[-71.325877,41.623988],[-71.34657,41.632229],[-71.366165,41.66098],[-71.338696,41.658782],[-71.342514,41.644791],[-71.30555,41.622523],[-71.307381,41.597984],[-71.3312,41.580318]]],[[[-71.281571,41.648207],[-71.274315,41.638125],[-71.283791,41.637797],[-71.281571,41.648207]]],[[[-71.58955,41.196557],[-71.576661,41.224434],[-71.561093,41.224207],[-71.565752,41.184373],[-71.544446,41.164912],[-71.547051,41.153684],[-71.611706,41.153239],[-71.605565,41.182139],[-71.58955,41.196557]]]]},\"properties\":{\"name\":\"Connecticut\",\"nation\":\"USA \"}}]}","volume":"107","noUsgsAuthors":false,"publicationDate":"2024-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Devine, Matthew T.","contributorId":343329,"corporation":false,"usgs":false,"family":"Devine","given":"Matthew T.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":910799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bittner, Steven","contributorId":343332,"corporation":false,"usgs":false,"family":"Bittner","given":"Steven","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":910800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910801,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gahagan, Benjamin I.","contributorId":343335,"corporation":false,"usgs":false,"family":"Gahagan","given":"Benjamin","email":"","middleInitial":"I.","affiliations":[{"id":39892,"text":"Massachusetts Division of Marine Fisheries","active":true,"usgs":false}],"preferred":false,"id":910802,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Armstrong, Michael P.","contributorId":343338,"corporation":false,"usgs":false,"family":"Armstrong","given":"Michael P.","affiliations":[{"id":39892,"text":"Massachusetts Division of Marine Fisheries","active":true,"usgs":false}],"preferred":false,"id":910803,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jordaan, Adrian","contributorId":343340,"corporation":false,"usgs":false,"family":"Jordaan","given":"Adrian","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":910804,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70255685,"text":"sir20245050 - 2024 - Water-quality trends in the Kansas River, Kansas, since enactment of the Clean Water Act, 1972–2020","interactions":[],"lastModifiedDate":"2026-02-03T19:34:03.41537","indexId":"sir20245050","displayToPublicDate":"2024-07-02T07:51:23","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5050","displayTitle":"Water-Quality Trends in the Kansas River, Kansas, since Enactment of the Clean Water Act, 1972–2020","title":"Water-quality trends in the Kansas River, Kansas, since enactment of the Clean Water Act, 1972–2020","docAbstract":"The Clean Water Act was passed by Congress in 1972 to regulate pollution within the waters of the United States. The U.S. Geological Survey (USGS), in cooperation with the Kansas Department of Health and Environment (KDHE), the Kansas Water Office, the Nature Conservancy, the City of Lawrence, the City of Manhattan, the City of Olathe, the City of Topeka, WaterOne, and Evergy, compiled and analyzed historical streamflow and water-quality data collected by USGS and KDHE to characterize trends in water-quality constituents of interest because of their relation to water supply, drinking-water treatment, and sediment and nutrient transport, among others (total dissolved solids, chloride, ammonia, dissolved inorganic nitrogen [ammonia and nitrate plus nitrite], total nitrogen, orthophosphate, total phosphorus, total suspended solids, and fecal coliform bacteria) during mean- and low-flow conditions in the Kansas River since the passage of the Clean Water Act in 1972 through 2020. Trends in water-quality concentrations, or densities, and loads were analyzed using the Exploration and Graphics for RivER Trends R package and Weighted Regressions on Time, Discharge, and Season (WRTDS) model at upstream (Kansas River at Wamego, Kansas; USGS station 06887500) and downstream (Kansas River at De Soto, Kansas; USGS station 06892350) locations along the Kansas River using streamflow and water-quality data collected by the USGS and KDHE during 1972 through 2020. The Exploration and Graphics for RivER Trends Confidence Intervals R package and WRTDS bootstrap test estimated direction, uncertainty, and likelihood of trends in concentration and loads for each water-quality constituent of interest.
Downward trends in concentration and load were observed for 5 of the 9 water-quality constituents at both sites during mean-flow conditions during the study period. During low-flow conditions, 7 of the 9 constituents exhibited downward trends, possibly reflecting reductions in point-source contributions to the Kansas River. Downward trends in ammonia, dissolved inorganic nitrogen, and total nitrogen during mean- and low-flow conditions were observed at both Kansas River sites, which were similar to patterns observed nationally. Upward trends were generally observed for orthophosphate and total phosphorus, which were similar to patterns observed at sites in the Mississippi River Basin. Downward trends, or no trend, were observed for chloride. Upward and downward trends were observed for total dissolved solids. Downward trends in total suspended solids and fecal coliform bacteria were observed at both sites, which were also similar to patterns observed nationally. The long-term trend analyses in this report are an essential step to understanding how water-quality conditions have changed in the Kansas River since the passage of the Clean Water Act.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245050","collaboration":"Prepared in cooperation with the Kansas Water Office, the Kansas Department of Health and Environment, The Nature Conservancy, the City of Lawrence, the City of Manhattan, the City of Olathe, the City of Topeka, WaterOne, and Evergy","usgsCitation":"Williams, T.J., Klager, B.J., and Stiles, T.C., 2024, Water-quality trends in the Kansas River, Kansas, since enactment of the Clean Water Act, 1972–2020: U.S. Geological Survey Scientific Investigations Report 2024–5050, 29 p., https://doi.org/10.3133/sir20245050.","productDescription":"Report: viii, 29 p.; Data Release; Dataset","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-158483","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":430605,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WVZ8X1","text":"USGS data release","linkHelpText":"Water-quality data and computed flow-normalized and low-flow concentrations and loads in the Kansas River, Kansas, 1972–2020"},{"id":430602,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5050/images/"},{"id":430601,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5050/sir20245050.XML"},{"id":430599,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5050/coverthb.jpg"},{"id":430600,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5050/sir20245050.pdf","text":"Report","size":"3.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024–5050"},{"id":430731,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245050/full"},{"id":499470,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117100.htm","linkFileType":{"id":5,"text":"html"}},{"id":430604,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"}],"country":"United States","state":"Kansas","otherGeospatial":"Kansas River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.5,\n 40\n ],\n [\n -97.5,\n 38.75\n ],\n [\n -94.5,\n 38.75\n ],\n [\n -94.5,\n 40\n ],\n [\n -97.5,\n 40\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Kansas Water Science Center
U.S. Geological Survey
1217 Biltmore Drive
Lawrence, KS 66049
The first multidisciplinary characterisation of Bowditch Seamount in the Sargasso Sea was conducted to provide new baseline knowledge of the biodiversity, geomorphology, oceanography and glacial history of this seamount. A dropframe camera transect 1483–1562 m deep on the seamount documented 77 megafaunal taxa including Vulnerable Marine Ecosystem indicator taxa such as sponges, cold-water corals, and stalked crinoids. Seabed terrain analysis of multibeam echosounder data showed species varied significantly along this transect in response to local geomorphological variability (R2adj = 31%, p < 0.0001), with changes in seafloor relief and substrata driving species composition over the seamount. 14C-calibrated and 230Th-ages of fossil corals (Desmophyllum dianthus) collected by Van Veen grabs 1517 m deep showed corals thrived on the seamount ∼24 ka BP and ∼17 ka BP. Abrupt excursions between higher and lower radiogenic εNd-composition values of the skeletons suggested that D. dianthus persisted on the seamount over times of southern source water input and detrital sediments from the melting Laurentide Ice Sheet, respectively. In agreement with other studies from the western North Atlantic, living D. dianthus were absent in the contemporary setting at these depths, and suggest a significant re-organisation of the seamount community since the deglacial when ice-rafted debris of carbonates likely resulted in a lower aragonite compensation depth allowing D. dianthus to proliferate at deeper depths. New conductivity-depth-temperature profiling revealed the seamount at these depths is now bathed by highly oxygenated Labrador Sea Water (LSW) formed at high latitudes. Co-analysis of a newly constructed 70-year long time series of temperature and salinity for the Labrador Sea and Bermuda regions revealed a 10-year transit time from high latitudes to Bowditch Seamount. This multidisciplinary approach shows how geomorphology drives local biodiversity patterns, but also how upstream climatic forcing in subpolar regions may influence Bermuda's subtropical seamount ecosystem.
Dust transported from rangelands of the Southwestern United States (US) to mountain snowpack in the Upper Colorado River Basin during spring (March-May) forces earlier and faster snowmelt, which creates problems for water resources and agriculture. To better understand the drivers of dust events, we investigated large-scale meteorology responsible for organizing two Southwest US dust events from two different dominant geographic locations: (a) the Colorado Plateau and (b) the northern Chihuahuan Desert. High-resolution Weather Research and Forecasting coupled with Chemistry model (WRF-Chem) simulations with the Air Force Weather Agency dust emission scheme incorporating a MODIS albedo-based drag-partition was used to explore land surface-atmosphere interactions driving two dust events. We identified commonalities in their meteorological setups. The meteorological analyses revealed that Polar and Sub-tropical jet stream interaction was a common upper-level meteorological feature before each of the two dust events. When the two jet streams merged, a strong northeast-directed pressure gradient upstream and over the source areas resulted in strong near-surface winds, which lifted available dust into the atmosphere. Concurrently, a strong mid-tropospheric flow developed over the dust source areas, which transported dust to the San Juan Mountains and southern Colorado snowpack. The WRF-Chem simulations reproduced both dust events, indicating that the simulations represented the dust sources that contributed to dust-on-snow events reasonably well. The representativeness of the simulated dust emission and transport in different geographic and meteorological conditions with our use of albedo-based drag partition provides a basis for additional dust-on-snow simulations to assess the hydrologic impact in the Southwest US.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JD040650","usgsCitation":"Dhital, S., Webb, N.P., Chappell, A., Kaplan, M.L., Nauman, T.W., Tyree, G.L., Duniway, M.C., Edwards, B.L., LeGrand, S.L., Letcher, T.W., Skiles, S.M., Naple, P., Chaney, N.W., and Cai, J., 2024, Synoptic analysis and WRF-Chem model simulation of dust events in the southwestern United States: JGR Atmospheres, v. 129, no. 13, e2023JD040650, 22 p., https://doi.org/10.1029/2023JD040650.","productDescription":"e2023JD040650, 22 p.","ipdsId":"IP-161089","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495722,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023jd040650","text":"Publisher Index Page"},{"id":495406,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"southwestern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.01835497016609,\n 41.90825861082291\n ],\n [\n -121.01835497016609,\n 31.275127575649392\n ],\n [\n -102.51551924830923,\n 31.275127575649392\n ],\n [\n -102.51551924830923,\n 41.90825861082291\n ],\n [\n -121.01835497016609,\n 41.90825861082291\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"129","issue":"13","noUsgsAuthors":false,"publicationDate":"2024-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Dhital, Saroj","contributorId":310520,"corporation":false,"usgs":false,"family":"Dhital","given":"Saroj","email":"","affiliations":[{"id":67202,"text":"USDA-ARS-Jornada Experimental Range. P.O. Box 30003, MSC 3JER, NMSU, Las Cruces, NM 88003","active":true,"usgs":false}],"preferred":false,"id":948654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Nicholas P.","contributorId":361353,"corporation":false,"usgs":false,"family":"Webb","given":"Nicholas","middleInitial":"P.","affiliations":[{"id":80080,"text":"USDA-ARS Jornada Experimental Range, Las Cruces, NM, USA","active":true,"usgs":false}],"preferred":false,"id":948655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chappell, Adrian","contributorId":167797,"corporation":false,"usgs":false,"family":"Chappell","given":"Adrian","email":"","affiliations":[],"preferred":false,"id":948656,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaplan, Michael L.","contributorId":361354,"corporation":false,"usgs":false,"family":"Kaplan","given":"Michael","middleInitial":"L.","affiliations":[{"id":86241,"text":"Division of Atmospheric Sciences, Desert Research Institute, Reno, NV, USA","active":true,"usgs":false}],"preferred":false,"id":948657,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nauman, Travis W.","contributorId":361355,"corporation":false,"usgs":false,"family":"Nauman","given":"Travis","middleInitial":"W.","affiliations":[{"id":82620,"text":"USDA-NRCS National Soil Survey Center, Lincoln, NE, USA","active":true,"usgs":false}],"preferred":false,"id":948658,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tyree, Gayle Loren 0000-0002-9949-6426","orcid":"https://orcid.org/0000-0002-9949-6426","contributorId":257744,"corporation":false,"usgs":true,"family":"Tyree","given":"Gayle","email":"","middleInitial":"Loren","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":948659,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":219284,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":948660,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Edwards, Brandon L.","contributorId":215510,"corporation":false,"usgs":false,"family":"Edwards","given":"Brandon","email":"","middleInitial":"L.","affiliations":[{"id":39270,"text":"USDA-ARS Jornada Experimental Range, Las Cruces, NM 88003, USA","active":true,"usgs":false}],"preferred":false,"id":948661,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"LeGrand, Sandra L.","contributorId":361357,"corporation":false,"usgs":false,"family":"LeGrand","given":"Sandra","middleInitial":"L.","affiliations":[{"id":86243,"text":"U.S. Army Engineer Research and Development Center, Geospatial Research Laboratory, Alexandria, Virginia, USA","active":true,"usgs":false}],"preferred":false,"id":948662,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Letcher, Theodore W.","contributorId":361358,"corporation":false,"usgs":false,"family":"Letcher","given":"Theodore","middleInitial":"W.","affiliations":[{"id":86244,"text":"U.S. Army Engineer Research and Development Center, Cold Regions Research and Engineering Laboratory, Hanover, New Hampshire, USA","active":true,"usgs":false}],"preferred":false,"id":948663,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Skiles, S. McKenzie","contributorId":361359,"corporation":false,"usgs":false,"family":"Skiles","given":"S.","middleInitial":"McKenzie","affiliations":[{"id":86245,"text":"Department of Geography, University of Utah, Salt Lake City, UT, USA","active":true,"usgs":false}],"preferred":false,"id":948664,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Naple, Patrick","contributorId":361360,"corporation":false,"usgs":false,"family":"Naple","given":"Patrick","affiliations":[{"id":86245,"text":"Department of Geography, University of Utah, Salt Lake City, UT, USA","active":true,"usgs":false}],"preferred":false,"id":948665,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Chaney, Nathaniel W.","contributorId":361361,"corporation":false,"usgs":false,"family":"Chaney","given":"Nathaniel","middleInitial":"W.","affiliations":[{"id":86246,"text":"Department of Civil and Environmental Engineering, Duke University, Durham, NC, USA","active":true,"usgs":false}],"preferred":false,"id":948666,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Cai, Jiaxuan","contributorId":361362,"corporation":false,"usgs":false,"family":"Cai","given":"Jiaxuan","affiliations":[{"id":86246,"text":"Department of Civil and Environmental Engineering, Duke University, Durham, NC, USA","active":true,"usgs":false}],"preferred":false,"id":948667,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70263614,"text":"70263614 - 2024 - The 17 January 1994 Northridge, California, earthquake: A retrospective analysis","interactions":[],"lastModifiedDate":"2025-02-19T16:27:36.326526","indexId":"70263614","displayToPublicDate":"2024-07-01T13:22:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"The 17 January 1994 Northridge, California, earthquake: A retrospective analysis","docAbstract":"The 17 January 1994 Northridge, California, earthquake was a watershed event, with far-reaching societal and scientific impacts. The earthquake, which occurred in the early days of both broadband seismic networks and the Internet, spurred advances in seismic monitoring, real-time systems, and development of data products. Motivated by the 30th anniversary of the earthquake, we present a brief retrospective of the earthquake and its impact, and reconsider both ground motions and the aftershock distribution using modern tools and best-available data. With improvements in instrumentation and analysis methodology, recent earthquakes continue to reveal increasing complexity of ground motions, fault systems, and earthquake ruptures. Even in the absence of data from state-of-the art instrumentation, a retrospective consideration of ground motion data from the Northridge earthquake reveals complexities beyond what could be characterized (and modeled) thirty years ago. Aftershock relocations for both the 1971 Sylmar and 1994 Northridge earthquakes also reveal an updated view of fault complexity. Our study does provide a cautionary tale regarding legacy data sets and research results that are not easily accessible, which can result in discrepancies between catalog data and products from best-available science. We also briefly describe outreach products produced as part of the anniversary commemoration.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320240012","usgsCitation":"Hough, S.E., Graves, R., Cochran, E.S., Yoon, C., Blair, J.L., Haefner, S., Wald, D.J., and Quitoriano, V., 2024, The 17 January 1994 Northridge, California, earthquake: A retrospective analysis: The Seismic Record, v. 4, no. 3, p. 151-160, https://doi.org/10.1785/0320240012.","productDescription":"10 p.","startPage":"151","endPage":"160","ipdsId":"IP-164904","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":489848,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320240012","text":"Publisher Index Page"},{"id":482225,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Northridge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.60523974052802,\n 34.27362638562232\n ],\n [\n -118.60523974052802,\n 34.17466422238154\n ],\n [\n -118.47245060179975,\n 34.17466422238154\n ],\n [\n -118.47245060179975,\n 34.27362638562232\n ],\n [\n -118.60523974052802,\n 34.27362638562232\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"4","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":263442,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yoon, Clara 0000-0003-4521-3889","orcid":"https://orcid.org/0000-0003-4521-3889","contributorId":222019,"corporation":false,"usgs":true,"family":"Yoon","given":"Clara","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927576,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blair, James Luke 0000-0002-6980-6446","orcid":"https://orcid.org/0000-0002-6980-6446","contributorId":213724,"corporation":false,"usgs":true,"family":"Blair","given":"James","email":"","middleInitial":"Luke","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927577,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haefner, Scott","contributorId":350679,"corporation":false,"usgs":true,"family":"Haefner","given":"Scott","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927578,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":927579,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Quitoriano, Vince 0000-0003-4157-1101 vinceq@usgs.gov","orcid":"https://orcid.org/0000-0003-4157-1101","contributorId":2582,"corporation":false,"usgs":true,"family":"Quitoriano","given":"Vince","email":"vinceq@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":927580,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273741,"text":"70273741 - 2024 - Adaptive fine-tuning for transferring a U-net hydrography extraction model using K-means","interactions":[],"lastModifiedDate":"2026-01-27T16:31:23.793842","indexId":"70273741","displayToPublicDate":"2024-07-01T10:29:44","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Adaptive fine-tuning for transferring a U-net hydrography extraction model using K-means","docAbstract":"The United States Geological Survey (USGS) coordinates the collection of hydrographic features derived from remotely sensed interferometric synthetic aperture radar (IfSAR) elevation and intensity data in Alaska. Hydrographic features are cartographic representations of surface water features such as stream, rivers, lakes, ponds, canals, etc. Collection and validation procedures involve complex automated and manual techniques that furnish snapshots of hydrographic vector data that exist during the IfSAR surveys. The dynamic nature of fluvial conditions warrants monitoring and updating hydrographic data, but extraction procedures for updates can be cost prohibitive. This paper overviews progress on automated workflows to extract hydrography from IfSAR data using deep learning methods trained and tested with USGS collected hydrography data. This research tests transfer learning methods on a well-performing U-net model trained on a 4600-square kilometer (sq km) base model area in northcentral Alaska. The base model is transferred and fine-tuned to regions in the target domain covering roughly 127,000 sq km. The target domain is subdivided into areas with similar hydrogeomorphic conditions using principal components and k-means clustering, and the base model is adaptively fine-tuned to each hydrogeomorphic class by selecting training watersheds from each cluster within the target domain. Results are compared with transfer learning that is fine-tuned with a random sample of watersheds in the target domain.","conferenceTitle":"Cartography and Geographic Information Society (CaGIS) and the University Consortium for Geographic Information Science (UCGIS) 2024 Symposium","conferenceDate":"June 3-6, 2024","conferenceLocation":"Columbus, OH","language":"English","publisher":"The Cartography and Geographic Information Society (CaGIS) and the University Consortium for Geographic Information Science (UCGIS)","usgsCitation":"Stanislawski, L., Shavers, E.J., Pastick, N.J., Thiem, P.T., Wang, S., Jaroenchai, N., Jiang, Z., Kronenfeld, B.J., Buttenfield, B.P., and Camerer, A., 2024, Adaptive fine-tuning for transferring a U-net hydrography extraction model using K-means, Cartography and Geographic Information Society (CaGIS) and the University Consortium for Geographic Information Science (UCGIS) 2024 Symposium, Columbus, OH, June 3-6, 2024, 45, 6 p.","productDescription":"45, 6 p.","ipdsId":"IP-162419","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":499096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499083,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cartogis.org/conferences/cagis2024/program/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stanislawski, Larry 0000-0002-9437-0576","orcid":"https://orcid.org/0000-0002-9437-0576","contributorId":217849,"corporation":false,"usgs":true,"family":"Stanislawski","given":"Larry","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":954503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shavers, Ethan J. 0000-0001-9470-5199 eshavers@usgs.gov","orcid":"https://orcid.org/0000-0001-9470-5199","contributorId":206890,"corporation":false,"usgs":true,"family":"Shavers","given":"Ethan","email":"eshavers@usgs.gov","middleInitial":"J.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":954504,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pastick, Neal J. 0000-0002-8169-3018 njpastick@usgs.gov","orcid":"https://orcid.org/0000-0002-8169-3018","contributorId":4785,"corporation":false,"usgs":true,"family":"Pastick","given":"Neal","email":"njpastick@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":954505,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thiem, Philip T. 0000-0002-3324-2589","orcid":"https://orcid.org/0000-0002-3324-2589","contributorId":287990,"corporation":false,"usgs":true,"family":"Thiem","given":"Philip","email":"","middleInitial":"T.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":954506,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Shaowen","contributorId":198966,"corporation":false,"usgs":false,"family":"Wang","given":"Shaowen","email":"","affiliations":[],"preferred":false,"id":954507,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jaroenchai, Nattapon","contributorId":267318,"corporation":false,"usgs":false,"family":"Jaroenchai","given":"Nattapon","email":"","affiliations":[{"id":38021,"text":"University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":954508,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jiang, Zhe","contributorId":267317,"corporation":false,"usgs":false,"family":"Jiang","given":"Zhe","email":"","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":954509,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kronenfeld, Barry J. 0000-0002-9518-2462","orcid":"https://orcid.org/0000-0002-9518-2462","contributorId":207104,"corporation":false,"usgs":false,"family":"Kronenfeld","given":"Barry","email":"","middleInitial":"J.","affiliations":[{"id":5043,"text":"Eastern Illinois University","active":true,"usgs":false}],"preferred":false,"id":954510,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Buttenfield, Barbara P. 0000-0001-5961-5809","orcid":"https://orcid.org/0000-0001-5961-5809","contributorId":206887,"corporation":false,"usgs":false,"family":"Buttenfield","given":"Barbara","email":"","middleInitial":"P.","affiliations":[{"id":16144,"text":"University of Colorado-Boulder","active":true,"usgs":false}],"preferred":false,"id":954511,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Camerer, Adam","contributorId":331850,"corporation":false,"usgs":false,"family":"Camerer","given":"Adam","email":"","affiliations":[{"id":26996,"text":"Missouri University of Science & Technology","active":true,"usgs":false}],"preferred":false,"id":954512,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70257647,"text":"70257647 - 2024 - Lake Ontario April prey fish survey results and Alewife assessment, 2024","interactions":[],"lastModifiedDate":"2024-08-21T14:56:36.633289","indexId":"70257647","displayToPublicDate":"2024-07-01T09:46:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Lake Ontario April prey fish survey results and Alewife assessment, 2024","docAbstract":"The Lake Ontario April bottom trawl survey assesses pelagic prey fish populations, in particular Alewife Alosa pseudoharengus, which are the primary prey supporting the lake’s sport fish populations. The 2024 survey included 234 trawls in the main lake and embayments and sampled depths from 3.9 to 245 m (13 – 809 ft). The survey captured 441,942 fish from 28 species with a total weight of 10,519 kg (23,142 lbs.). Alewife were 89% of the total catch by number while Deepwater Sculpin Myoxocephalus thompsonii, Round Goby Neogobius melanostomus, and Rainbow Smelt Osmerus mordax, comprised 4%, 3%, and 2% of the catch respectively.
The estimated Alewife biomass increases slightly from 2023 to 2024 (83.9 to 84.2 kg·ha-1) and was the largest biomass value since whole lake sampling began in 2016. Adult Alewife abundance increased in 2024 as predicted in 2023, and most of the total Alewife biomass was comprised of adult fish (97%), predominantly from the 2020 and 2022 year classes. In contrast, Age-1 Alewife biomass (2.2 kg·ha-1) was the lowest estimated since whole lake sampling began in 2016 (previous range: 2.7 – 26.7 kg·ha-1), indicating reproductive success was poor in 2023. Adult Alewife biomass is predicted to remain relatively high but decline slightly in 2025 and 2026, due to the smaller year classes produced in 2021 and 2023. Alewife condition as measured by the weight of a standard length fish (165 mm; ~6.5 inches), was 32.8 g, which was within of the range of previously observed values (28.0 – 35.9 g, 1997 – 2023). Acoustic-based prey fish densities, in the water above the bottom trawl, were similar to observations from 2021 – 2023 and were orders of magnitude lower than bottom trawl densities. These acoustic results support the seasonal timing of the April survey, when the majority of Alewife and other pelagic prey fishes are near the lake bottom and susceptible to capture with bottom trawls.
The trawl survey also provides information on the status of other pelagic prey fishes and native fish restorations. In 2024, biomass indices for Rainbow Smelt, Emerald Shiner Notropis atherinoides, and Threespine Stickleback Gasterosteus aculeatus, were similar to 2023 values while the index for Cisco Coregonus artedi declined. The density index for naturally reproduced, juvenile Lake Trout Salvelinus namaycush declined relative to 2023. Density estimates of Lake Whitefish Coregonus clupeaformis continue to be orders of magnitude lower in U.S. waters relative to Canadian waters. A single purported Bloater Coregonus hoyi (total length = 148 mm, sampling depth = 105 m) was captured near Rochester, NY during the 2024 survey. This is the eighth Bloater recaptured during this survey since restoration stocking began in 2012.
","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Weidel, B., Goretzke, J., Holden, J.P., Stahl, S.D., Mitchinson, O.M., and Minihkeim, S.P., 2024, Lake Ontario April prey fish survey results and Alewife assessment, 2024, 15 p.","productDescription":"15 p.","ipdsId":"IP-168124","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":433005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":433004,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://glfc.org/","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.925537109375,\n 43.265206318396025\n ],\n [\n -79.8101806640625,\n 43.281204464332745\n ],\n [\n -79.5904541015625,\n 43.18515250937298\n ],\n [\n -79.3597412109375,\n 43.16512263158296\n ],\n [\n -79.1839599609375,\n 43.193162620926074\n ],\n [\n -78.9532470703125,\n 43.27320591705845\n ],\n [\n -78.6236572265625,\n 43.329173667843904\n ],\n [\n -78.4259033203125,\n 43.369119087738554\n ],\n [\n -78.189697265625,\n 43.35713822211053\n ],\n [\n -78.123779296875,\n 43.35713822211053\n ],\n [\n -77.95898437499999,\n 43.35314407444698\n ],\n [\n -77.750244140625,\n 43.32517767999296\n ],\n [\n -77.596435546875,\n 43.23719944365308\n ],\n [\n -77.51953125,\n 43.197167282501276\n ],\n [\n -77.5140380859375,\n 43.241201214257885\n ],\n [\n -77.3602294921875,\n 43.26920624914964\n ],\n [\n -77.14050292968749,\n 43.27720532212024\n ],\n [\n -77.01416015625,\n 43.26120612479979\n ],\n [\n -76.89880371093749,\n 43.213183300738876\n ],\n [\n -76.904296875,\n 43.26920624914964\n ],\n [\n -76.7340087890625,\n 43.32517767999296\n ],\n [\n -76.6461181640625,\n 43.37311218382002\n ],\n [\n -76.5966796875,\n 43.42898792344155\n ],\n [\n -76.48681640625,\n 43.48082639482503\n ],\n [\n -76.4208984375,\n 43.50872101129684\n ],\n [\n -76.365966796875,\n 43.52465500687185\n ],\n [\n -76.31103515625,\n 43.51270490464819\n ],\n [\n -76.2396240234375,\n 43.51270490464819\n ],\n [\n -76.17919921875,\n 43.624147145668076\n ],\n [\n -76.1407470703125,\n 43.6599240747891\n ],\n [\n -76.1846923828125,\n 43.691707903073805\n ],\n [\n -76.1956787109375,\n 43.78299262890581\n ],\n [\n -76.201171875,\n 43.8503744993026\n ],\n [\n -76.0968017578125,\n 43.91768033000405\n ],\n [\n -75.9979248046875,\n 44.008620115415354\n ],\n [\n -76.1297607421875,\n 44.08363928284644\n ],\n [\n -76.300048828125,\n 44.14279782818058\n ],\n [\n -76.3934326171875,\n 44.17826452922573\n ],\n [\n -76.453857421875,\n 44.25700308645885\n ],\n [\n -76.629638671875,\n 44.25700308645885\n ],\n [\n -76.8109130859375,\n 44.17038488259618\n ],\n [\n -76.97021484375,\n 44.08758502824516\n ],\n [\n -77.069091796875,\n 44.071800467511565\n ],\n [\n -77.069091796875,\n 43.96514454266273\n ],\n [\n -77.080078125,\n 43.88997537383687\n ],\n [\n -77.3162841796875,\n 43.96119063892024\n ],\n [\n -77.4151611328125,\n 43.96909818325171\n ],\n [\n -77.574462890625,\n 44.06390660801779\n ],\n [\n -77.7337646484375,\n 44.040218713142146\n ],\n [\n -78.01391601562499,\n 44.004669106432225\n ],\n [\n -78.33251953125,\n 43.95328204198018\n ],\n [\n -78.5137939453125,\n 43.90185050527358\n ],\n [\n -78.7664794921875,\n 43.88997537383687\n ],\n [\n -78.9862060546875,\n 43.862257524417934\n ],\n [\n -79.1015625,\n 43.81471121600004\n ],\n [\n -79.2279052734375,\n 43.723474896114794\n ],\n [\n -79.3377685546875,\n 43.65197548731187\n ],\n [\n -79.4805908203125,\n 43.644025847699496\n ],\n [\n -79.5684814453125,\n 43.56845179881218\n ],\n [\n -79.617919921875,\n 43.52465500687185\n ],\n [\n -79.6343994140625,\n 43.464880828929545\n ],\n [\n -79.7113037109375,\n 43.37710501700073\n ],\n [\n -79.82666015625,\n 43.329173667843904\n ],\n [\n -79.925537109375,\n 43.265206318396025\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":911193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goretzke, Jessica","contributorId":268339,"corporation":false,"usgs":false,"family":"Goretzke","given":"Jessica","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":911194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holden, Jeremy P.","contributorId":251689,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","email":"","middleInitial":"P.","affiliations":[{"id":50374,"text":"Ontario Ministry of Natural Resources and Forests (OMNRF)","active":true,"usgs":false}],"preferred":false,"id":911195,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stahl, Scott David 0009-0002-0248-4523","orcid":"https://orcid.org/0009-0002-0248-4523","contributorId":339870,"corporation":false,"usgs":true,"family":"Stahl","given":"Scott","email":"","middleInitial":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":911196,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mitchinson, Olivia Margaret 0009-0002-7999-1160","orcid":"https://orcid.org/0009-0002-7999-1160","contributorId":339869,"corporation":false,"usgs":true,"family":"Mitchinson","given":"Olivia","email":"","middleInitial":"Margaret","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":911197,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Minihkeim, Scott P. 0000-0003-4958-2462","orcid":"https://orcid.org/0000-0003-4958-2462","contributorId":265808,"corporation":false,"usgs":true,"family":"Minihkeim","given":"Scott","email":"","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":911198,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70272709,"text":"70272709 - 2024 - Impacts of convective storms on runoff, erosion, and carbon export in a continuous permafrost landscape","interactions":[],"lastModifiedDate":"2025-12-08T14:19:02.218112","indexId":"70272709","displayToPublicDate":"2024-07-01T08:57:37","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Impacts of convective storms on runoff, erosion, and carbon export in a continuous permafrost landscape","docAbstract":"Permafrost holds more than twice the amount of carbon currently in the atmosphere, but this large carbon reservoir is vulnerable to thaw and erosion under a rapidly changing Arctic climate. Convective storms are becoming increasingly common during Arctic summers and can amplify runoff and erosion. These extreme events, in concert with active layer deepening, may accelerate carbon loss from the Arctic landscape. However, we lack measurements of carbon fluxes during these events.\nRivers are sensitive to physical, chemical, and hydrological perturbations, and thus are excellent systems for studying landscape responses to thunderstorms. We present observations from the Canning River, Alaska, which drains the northern Brooks Range and flows across a continuous permafrost landscape to the Beaufort Sea. During summer 2022 and 2023 field campaigns, we opportunistically monitored river discharge, sediment, and organic carbon fluxes during several thunderstorms. During one notable storm, river discharge nearly doubled from ~130 m3/s to ~240 m3/s, suspended sediment flux increased 70-fold, and the particulate organic carbon (POC) flux increased 90-fold relative to non-storm conditions. Taken together, the river exported ~16 metric tons of POC over one hour of this sustained event, not including the additional flux of woody debris. Furthermore, the dissolved organic carbon (DOC) flux nearly doubled. Although these thunderstorm-driven fluxes are short-lived (hours to days), they play an outsized role in exporting organic carbon from Arctic rivers. Understanding how these extreme events impact river water, sediment, and carbon dynamics will help predict how Arctic climate change will modify the global carbon cycle.","conferenceTitle":"12th International Conference on Permafrost","conferenceDate":"June 16-20, 2024","conferenceLocation":"Whitehorse, Yukon","language":"English","publisher":"International Conference on Permafrost","doi":"10.52381/ICOP2024.104.1","usgsCitation":"Repasch, M., Arcuri, J., Overeem, I., Anderson, S.P., Anderson, R.G., and Koch, J.C., 2024, Impacts of convective storms on runoff, erosion, and carbon export in a continuous permafrost landscape, 12th International Conference on Permafrost, Whitehorse, Yukon, June 16-20, 2024, p. 341-348, https://doi.org/10.52381/ICOP2024.104.1.","productDescription":"8 p.","startPage":"341","endPage":"348","ipdsId":"IP-157679","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":497137,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Canning River, North Slope","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -144.75,\n 70.25\n ],\n [\n -146.5,\n 70.25\n ],\n [\n -146.5,\n 68.5\n ],\n [\n -144.75,\n 68.5\n ],\n [\n -144.75,\n 70.25\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2024-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Repasch, Marisa 0000-0003-2636-9896","orcid":"https://orcid.org/0000-0003-2636-9896","contributorId":334190,"corporation":false,"usgs":false,"family":"Repasch","given":"Marisa","email":"","affiliations":[],"preferred":false,"id":951399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arcuri, Josie","contributorId":363269,"corporation":false,"usgs":false,"family":"Arcuri","given":"Josie","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":951400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Overeem, Irina","contributorId":197487,"corporation":false,"usgs":false,"family":"Overeem","given":"Irina","email":"","affiliations":[],"preferred":false,"id":951401,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Suzanne P. 0000-0002-6796-6649","orcid":"https://orcid.org/0000-0002-6796-6649","contributorId":172732,"corporation":false,"usgs":false,"family":"Anderson","given":"Suzanne","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":951402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Robert G.","contributorId":197569,"corporation":false,"usgs":false,"family":"Anderson","given":"Robert","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":951403,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":951404,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70257116,"text":"70257116 - 2024 - Pilot framework for fish habitat assessments across tidal and non tidal waters in the Patuxent River Basin","interactions":[],"lastModifiedDate":"2024-08-12T13:52:05.405983","indexId":"70257116","displayToPublicDate":"2024-07-01T08:31:44","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5134,"text":"NOAA Technical Memorandum","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NOS NCCOS 332","title":"Pilot framework for fish habitat assessments across tidal and non tidal waters in the Patuxent River Basin","docAbstract":"As part of the 2014 Chesapeake Bay Watershed Agreement, all Bay States and the District of Columbia have committed to improving the condition of the Bay, which includes a goal to achieve sustainable fisheries. One outcome under that broad goal is improved effectiveness of fish habitat conservation and preservation efforts. In support of that outcome, the U.S. Geological Survey Eastern Ecological Science Center (USGS-EESC) and the National Oceanic and Atmospheric Association’s National Centers for Coastal Ocean Science (NOAA-NCCOS) are actively developing datasets, methods, and analyses to conduct fish habitat assessments in the Chesapeake Bay watershed, guided by recommendations from a regional stakeholder workshop held by the Chesapeake Bay Program’s (CBP) Fish Habitat Action Team (FHAT) in 2018. The joint USGS and NOAA team has been collaborating on methods for conducting inland and estuarine assessments and exploring whether a seamless headwater to estuary assessment could be developed. The goals of this assessment are to benefit both State and Federal fisheries managers, help advance fisheries science, and provide beneficial information for the public. While past national and regional assessments (e.g. the National Fish Habitat Partnership National Assessment) treated inland and estuarine fish habitat conditions separately due to differences in environments, GIS data representation, and data availability, a seamless habitat assessment could be of value for a broad range of stakeholders as many fish species, several of which are invasive or under federal jurisdiction, use habitats across both inland and estuarine waters. This project developed a pilot framework, explored and tested methods necessary for a finer scale, seamless assessment across both inland and estuarine waters, and demonstrated its use.
Although there was interest by the CBP FHAT for the generation of a Baywide fish habitat assessment that spanned tidal salt, tidal fresh, warm non-tidal and cold non-tidal waters, there are a myriad of implementation details and considerations around conducting a Baywide assessment across all four of these general habitat areas. Therefore, the practical need to conduct a tributary-specific pilot assessment arose. At the beginning of this pilot process, members of the FHAT were presented with a decision matrix to choose a study basin using factors such as data availability and tributary size. FHAT members chose the Patuxent River basin, which has been relatively well sampled and studied. Several spatial frameworks were considered before selection of an inclusive gridded framework for summary and analysis that represented inland drainage networks and landscape influences as well as estuarine bathymetry. A suite of landscape and in-water stressor variables were summarized into the framework and were largely generalized over time. In order to assess the viability of the framework, we chose to use species distribution modeling for each of the species to test the framework’s ability to predict habitat use of non-tidal resident, estuarine resident, and migratory species. Tessellated darter (Etheostoma olmstedi), American eel (Anguilla rostrata), and white perch (Morone americana) were chosen as illustrative fish species based on data availability, and differences in life history and habitat use. A nested modeling approach, which involved successive model runs at multiple scales (1000m, 100m, and 10m raster grids) was developed to examine differences in variable importance at different spatial scales and to enhance modeling efficiency. For white perch, a complementary modeling analysis was performed for variables available only in estuarine waters. For all testing, an ensemble modeling approach was conducted, using a suite of potential statistical techniques driven by model strength and variable predictive power. The statistical testing that we conducted was intended only to test the framework and modeling approach, and not to definitively predict all habitats where specific fish species might be present. The modeling we conducted to test the framework did have some limitations. For example, the spatial distribution of favorable habitat areas for white perch was likely influenced by the predominance of fish survey locations near the center channel of the river and the use of generalized in-water conditions. For all species, the use of juvenile and adult fish survey data limits the estimation of habitat use to those life stages. Despite such limitations of the data inputs and modeling approach, we found the framework could seamlessly predict fish habitat distribution across freshwater and tidal environments and integrate the influence of landscape stressors with local in-water factors. The developed framework presented to the Sustainable Fisheries Goal Implementation Team (GIT) and FHAT is informative and could potentially be used for other modeling applications in the Chesapeake Bay watershed and elsewhere. In particular the framework and modeling approach lend themselves to evaluating living resource distributions and underlying habitat conditions in shallow tidal waters and beyond, as recommended by the recent Comprehensive Evaluation of System Response (CESR) report from the Chesapeake Bay Program.
","language":"English","publisher":"NOAA","doi":"10.25923/4jqw-mw29","usgsCitation":"Nisonson, H., Kiser, A.H., Gressler, B.P., Leight, A., and Young, J.A., 2024, Pilot framework for fish habitat assessments across tidal and non tidal waters in the Patuxent River Basin: NOAA Technical Memorandum NOS NCCOS 332, vi, 41 p., https://doi.org/10.25923/4jqw-mw29.","productDescription":"vi, 41 p.","ipdsId":"IP-163665","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":432484,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Patuxent River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.5870885061828,\n 38.29653642168418\n ],\n [\n -76.39765972760698,\n 38.2523876845089\n ],\n [\n -76.39469990294168,\n 38.39635283845547\n ],\n [\n -76.5219723635473,\n 38.51224538633858\n ],\n [\n -76.5930081555134,\n 38.75962947245472\n ],\n [\n -76.57524920752218,\n 38.93252018914461\n ],\n [\n -76.82683430406816,\n 39.192214789667304\n ],\n [\n -77.06635333905636,\n 39.45429197245687\n ],\n [\n -77.25054644375115,\n 39.48452671490274\n ],\n [\n -77.41561427713579,\n 39.40769859848646\n ],\n [\n -77.04882238288116,\n 39.139433495010024\n ],\n [\n -76.96002764292388,\n 39.04065023841653\n ],\n [\n -76.82979535765293,\n 38.90718862957951\n ],\n [\n -76.82091588365701,\n 38.66493779010759\n ],\n [\n -76.74100152907371,\n 38.412588059675414\n ],\n [\n -76.5870885061828,\n 38.29653642168418\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nisonson, H","contributorId":342011,"corporation":false,"usgs":false,"family":"Nisonson","given":"H","affiliations":[{"id":81821,"text":"Cooperative Oxford Lab","active":true,"usgs":false}],"preferred":false,"id":909477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kiser, Alexander H. 0000-0002-2871-0640","orcid":"https://orcid.org/0000-0002-2871-0640","contributorId":342012,"corporation":false,"usgs":true,"family":"Kiser","given":"Alexander","middleInitial":"H.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":909478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gressler, Benjamin P. 0000-0001-6639-8558","orcid":"https://orcid.org/0000-0001-6639-8558","contributorId":270167,"corporation":false,"usgs":true,"family":"Gressler","given":"Benjamin","middleInitial":"P.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":909479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leight, A","contributorId":342013,"corporation":false,"usgs":false,"family":"Leight","given":"A","email":"","affiliations":[{"id":81821,"text":"Cooperative Oxford Lab","active":true,"usgs":false}],"preferred":false,"id":909480,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":909481,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70255704,"text":"70255704 - 2024 - Reduction of large vessel traffic improves water quality and alters fish habitat-use throughout a large river","interactions":[],"lastModifiedDate":"2024-07-02T11:59:32.798901","indexId":"70255704","displayToPublicDate":"2024-07-01T06:57:02","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Reduction of large vessel traffic improves water quality and alters fish habitat-use throughout a large river","docAbstract":"Rivers are increasingly used as superhighways for the continental-scale transportation of freight goods, but the ecological impact of large vessel traffic on river ecosystems is difficult to study. Recently, the temporary maintenance closure of lock and dam systems on the Illinois Waterway (USA) brought commercial vessel traffic to a halt along the river's length, offering a rare opportunity to study the response of the ecosystem before, during, and after an extended pause of this persistent anthropogenic disturbance. We observed improvements in main- and side-channel water quality and a redistribution of fish habitat-use during a months-long, near-complete reduction of large vessel traffic. Over 3600 water quality and 1300 fish community samples indicate that large vessel traffic reduction coincided with a 33 % reduction in turbidity as well as increased use of sampling strata near vessel navigation corridors by sound-sensitive and rheophilic fishes. Gizzard shad (Dorosoma cepedianum), the most abundant species in the system, also expanded their use of these ‘impact’ areas. Though inland waterway transport is an economically- and climate-friendly alternative to trucking and rail for the shipment of freight, our data suggest that intense vessel traffic may have profound physical and biological impacts across a large river. Monitoring and mitigation of ecological impacts of the ongoing expansion of inland waterway transport around the world will be critical to balancing large rivers as both useful navigation corridors and functional ecosystems.
Side-scan sonar (SSS) is a powerful tool that can be used to address many key questions in fisheries science. In principle, SSS uses dual transducers to transmit a narrow-beam, wide-angle acoustic signal as the survey vessel transits an area. The intensity of reflected sound is recorded to generate an image mosaic comprised of benthic substrates and targets in the water column, including organisms such as fish. Although SSS has been around for decades, recent advancements have opened new opportunities to leverage this technology to directly measure fish populations. In this paper, we review the current state of the science and identify opportunities to further refine SSS for fisheries applications.
Access to high-quality food is critical for long-distance migrants to provide energy for migration and arrival at breeding grounds in good condition. We studied effects of changing abundance and availability of a marine food, common eelgrass (Zostera marina L.), on an arctic-breeding, migratory goose, black brant (Brant bernicla nigricans Lawrence 1846), at a key non-breeding site, Bahía San Quintín, Mexico. Eelgrass, the primary food of brant, is consumed when exposed by the tide or within reach from the water's surface. Using an individual-based model, we predicted effects of observed changes (1991–2013) in parameters influencing food abundance and availability: eelgrass biomass (abundance), eelgrass shoot length (availability, as longer shoots more within reach), brant population size (availability, as competition greater with more birds), and sea level (availability, as less food within reach when sea level higher). The model predicted that the ability to gain enough energy to migrate was most strongly influenced by eelgrass biomass (threshold January biomass for migration = 60 g m−2 dry mass). Conversely, annual variation in population size (except for 1998), was relatively low, and variation in eelgrass shoot length and sea level were not strongly related to ability to migrate. We used observed data on brant body mass at Bahía San Quintín and annual survival to test for effects of eelgrass biomass in the real system. The lowest observed values of body mass and survival were in years when biomass was below 60 g m−2, although in some years of low biomass body mass and/or survival was higher. This suggests that the real birds may have some capacity to compensate to meet their energy demands when eelgrass biomass is low. We discuss consequences for brant population trends and conservation.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.11619","usgsCitation":"Stillman, R.A., Rivers, E., Gilkerson, W., Wood, K.A., Clausen, P., Deane, C., and Ward, D.H., 2024, Predicting the response of a long-distance migrant to changing environmental conditions in winter: Ecology and Evolution, v. 14, no. 7, e11619, 15 p., https://doi.org/10.1002/ece3.11619.","productDescription":"e11619, 15 p.","ipdsId":"IP-160623","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":439315,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.11619","text":"Publisher Index Page"},{"id":434933,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7T43R88","text":"USGS data release","linkHelpText":"Data from Black Brant (Branta bernicla nigricans) Overwintering in Three Lagoons Along the Baja California Peninsula, Mexico"},{"id":432860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","state":"Baja California","otherGeospatial":"Bahía San Quintín","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.06430118019601,\n 30.523772316473426\n ],\n [\n -116.06430118019601,\n 30.37195862378512\n ],\n [\n -115.92021973295668,\n 30.37195862378512\n ],\n [\n -115.92021973295668,\n 30.523772316473426\n ],\n [\n -116.06430118019601,\n 30.523772316473426\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-06-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Stillman, Richard A.","contributorId":151661,"corporation":false,"usgs":false,"family":"Stillman","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":910500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rivers, E.M.","contributorId":245657,"corporation":false,"usgs":false,"family":"Rivers","given":"E.M.","email":"","affiliations":[{"id":49249,"text":"Merkel & Associates, Inc.","active":true,"usgs":false}],"preferred":false,"id":910501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilkerson, W.","contributorId":245658,"corporation":false,"usgs":false,"family":"Gilkerson","given":"W.","affiliations":[{"id":49250,"text":"Wildfowl & Wetlands Trust","active":true,"usgs":false}],"preferred":false,"id":910502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wood, K. A.","contributorId":167726,"corporation":false,"usgs":false,"family":"Wood","given":"K.","email":"","middleInitial":"A.","affiliations":[{"id":24818,"text":"Department of Life and Environmental Sciences, Bournemouth University, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":910503,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clausen, P.","contributorId":245661,"corporation":false,"usgs":false,"family":"Clausen","given":"P.","email":"","affiliations":[{"id":49252,"text":"Department of Bioscience – Wildlife Ecology, Aarhus University","active":true,"usgs":false}],"preferred":false,"id":910505,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Deane, C.","contributorId":342932,"corporation":false,"usgs":false,"family":"Deane","given":"C.","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":910506,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":910507,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70255892,"text":"70255892 - 2024 - Use of Doppler velocity radars to monitor and predict debris and flood wave velocities and travel times in post-wildfire basins","interactions":[],"lastModifiedDate":"2024-07-10T14:33:11.692633","indexId":"70255892","displayToPublicDate":"2024-06-29T09:21:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5836,"text":"Journal of Hydrology X","onlineIssn":"2589-9155","active":true,"publicationSubtype":{"id":10}},"title":"Use of Doppler velocity radars to monitor and predict debris and flood wave velocities and travel times in post-wildfire basins","docAbstract":"The magnitude and timing of extreme events such as debris and floodflows (collectively referred to as floodflows) in post-wildfire basins are difficult to measure and are even more difficult to predict. To address this challenge, a sensor ensemble consisting of noncontact, ground-based (near-field), Doppler velocity (velocity) and pulsed (stage or gage height) radars, rain gages, and a redundant radio communication network was leveraged to monitor flood wave velocities, to validate travel times, and to compliment observations from NEXRAD weather radar. The sensor ensemble (DEbris and Floodflow Early warNing System, DEFENS) was deployed in Waldo Canyon, Pike National Forest, Colorado, USA, which was burned entirely (100 percent burned) by the Waldo Canyon fire during the summer of 2012 (MTBS, 2020).
Surface velocity, stage, and precipitation time series collected during the DEFENS deployment on 10 August 2015 were used to monitor and predict flood wave velocities and travel times as a function of stream discharge (discharge; streamflow). The 10 August 2015 event exhibited spatial and temporal variations in rainfall intensity and duration that resulted in a discharge equal to 5.01 cubic meters per second (m3/s). Discharge was estimated post-event using a slope-conveyance indirect discharge method and was verified using velocity radars and the probability concept algorithm. Mean flood wave velocities – represented by the kinematic celerity (
Measured flood wave velocities and travel times agreed well with predicted values. Absolute percent differences between predicted and measured flood wave velocities ranged from 1.6 percent to 49 percent and varied with water slope, hydraulic radius, and depth. The kinematic celerity was a better predictor for steep slopes and wide flood plains associated with the Upper Waldo and Middle Waldo radar streamgages; whereas, the dynamic celerity was a better surrogate for shallow slopes and incised channels such as the Lower Waldo radar streamgage.
The method demonstrates the potential extensibility of a post-wildfire warning system by (1) leveraging multiple systems (i.e., weather radar, near-field velocity and stage radars, and rain gages) for accurate and timely warnings of debris and floodflows, (2) establishing an order of operations to site, install, and operate near-field radars and conventional rain gages to record floodflows, forecast travel times, and document geomorphic change in this basin and hydrologically similar basins that lack data, and (3) communicating data operationally with the Colorado Department of Transportation engineering staff, National Weather Service forecasters, and emergency managers.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.hydroa.2024.100180","usgsCitation":"Fulton, J.W., Hall, N.G., Hempel, L.A., Gourley, J., Henneberg, M.F., Kohn, M.S., Farmer, W., Asquith, W.H., Wasielewski, D., Stecklein, A.S., Mommandi, A., and Khan, A., 2024, Use of Doppler velocity radars to monitor and predict debris and flood wave velocities and travel times in post-wildfire basins: Journal of Hydrology X, v. 24, 100180, 17 p., https://doi.org/10.1016/j.hydroa.2024.100180.","productDescription":"100180, 17 p.","ipdsId":"IP-112029","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":439317,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.hydroa.2024.100180","text":"Publisher Index Page"},{"id":430892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Waldo Canyon basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105,\n 39\n ],\n [\n -105,\n 38.8333\n ],\n [\n -104.8167,\n 38.8333\n ],\n [\n -104.8167,\n 39\n ],\n [\n -105,\n 39\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"24","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fulton, John W, 0000-0002-5335-0720","orcid":"https://orcid.org/0000-0002-5335-0720","contributorId":213630,"corporation":false,"usgs":true,"family":"Fulton","given":"John","middleInitial":"W,","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Nicholas Graff 0000-0002-7331-8947","orcid":"https://orcid.org/0000-0002-7331-8947","contributorId":315497,"corporation":false,"usgs":true,"family":"Hall","given":"Nicholas","email":"","middleInitial":"Graff","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hempel, Laura A. 0000-0001-5020-6056","orcid":"https://orcid.org/0000-0001-5020-6056","contributorId":224286,"corporation":false,"usgs":true,"family":"Hempel","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905915,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gourley, J.J.","contributorId":340018,"corporation":false,"usgs":false,"family":"Gourley","given":"J.J.","email":"","affiliations":[{"id":41181,"text":"NOAA National Severe Storms Laboratory","active":true,"usgs":false}],"preferred":false,"id":905916,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Henneberg, Mark F. 0000-0002-6991-1211 mfhenneb@usgs.gov","orcid":"https://orcid.org/0000-0002-6991-1211","contributorId":187481,"corporation":false,"usgs":true,"family":"Henneberg","given":"Mark","email":"mfhenneb@usgs.gov","middleInitial":"F.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905917,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kohn, Michael S. 0000-0002-5989-7700 mkohn@usgs.gov","orcid":"https://orcid.org/0000-0002-5989-7700","contributorId":4549,"corporation":false,"usgs":true,"family":"Kohn","given":"Michael","email":"mkohn@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905918,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Farmer, William H. 0000-0002-2865-2196","orcid":"https://orcid.org/0000-0002-2865-2196","contributorId":223181,"corporation":false,"usgs":true,"family":"Farmer","given":"William H.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":905919,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905920,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wasielewski, Daniel","contributorId":340019,"corporation":false,"usgs":false,"family":"Wasielewski","given":"Daniel","email":"","affiliations":[{"id":41181,"text":"NOAA National Severe Storms Laboratory","active":true,"usgs":false}],"preferred":false,"id":905921,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stecklein, Andrew S.","contributorId":340020,"corporation":false,"usgs":false,"family":"Stecklein","given":"Andrew","email":"","middleInitial":"S.","affiliations":[{"id":78854,"text":"Colorado Department of Transportation","active":true,"usgs":false}],"preferred":false,"id":905922,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mommandi, Amanullah","contributorId":340021,"corporation":false,"usgs":false,"family":"Mommandi","given":"Amanullah","affiliations":[{"id":78854,"text":"Colorado Department of Transportation","active":true,"usgs":false}],"preferred":false,"id":905923,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Khan, Aziz","contributorId":340022,"corporation":false,"usgs":false,"family":"Khan","given":"Aziz","affiliations":[{"id":78854,"text":"Colorado Department of Transportation","active":true,"usgs":false}],"preferred":false,"id":905924,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70255709,"text":"70255709 - 2024 - Reach-scale mapping of surface flow velocities from thermal images acquired by an uncrewed aircraft system along the Sacramento River, California, USA","interactions":[],"lastModifiedDate":"2024-07-02T11:54:40.747138","indexId":"70255709","displayToPublicDate":"2024-06-29T06:53:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Reach-scale mapping of surface flow velocities from thermal images acquired by an uncrewed aircraft system along the Sacramento River, California, USA","docAbstract":"An innovative payload containing a sensitive mid-wave infrared camera was flown on an uncrewed aircraft system (UAS) to acquire thermal imagery along a reach of the Sacramento River, California, USA. The imagery was used as input for an ensemble particle image velocimetry (PIV) algorithm to produce near-continuous maps of surface flow velocity along a reach approximately 1 km in length. To assess the accuracy of PIV velocity estimates, in situ measurements of flow velocity were obtained with an acoustic Doppler current profiler (ADCP). ADCP measurements were collected along pre-planned cross-section lines within the area covered by the imagery. The PIV velocities showed good agreement with the depth-averaged velocity measured by the ADCP, with
President Biden has been clear that the ocean is central to life on Earth. As he has proclaimed, “the ocean powers millions of jobs; feeds and sustains us; and is a rejuvenating source of inspiration, exploration, and recreation.” The Biden-Harris Administration has worked hard to fulfill the President’s goal to protect and conserve at least 30% of U.S. waters by 2030. The ocean faces increased threats from warming, overfishing, increased acidity, and loss of biodiversity. It is now more important than ever to sustain the many benefits that the ocean, coasts, and Great Lakes provide, including food, a favorable climate, recreation, physical and mental health, and for many, a sense of cultural identity. Ocean life represents an irreplaceable heritage, the foundation of a habitable planet, and a vast trove of resources. Keeping our ocean healthy requires reliable information on the changing status of these living organisms, the drivers of biodiversity change, and options for effectively addressing those drivers. Over 2 million species are estimated to live in the ocean, yet only about 240,000 species have been described by scientists. Most of the ocean’s benefits result from those diverse species interacting with one another and the environment they create. To protect and conserve the ocean, we as a nation need to make better use of existing knowledge and prioritize acquiring new biodiversity knowledge to enable better policy and management decisions. The ability to monitor ocean species and habitats has expanded dramatically over the past decade, with innovations in technology, genomics, taxonomy, big data management and sharing, artificial intelligence, and machine learning. Yet large fractions of the U.S. ocean remain almost unknown. The National Ocean Biodiversity Strategy (strategy) reflects the urgent need to leverage these advances. The goals of this strategy must be guided by the nation’s diverse voices and ways of knowing, in order to maximize effective and equitable stewardship of the ocean’s diverse life and its benefits to people. The strategy is intended as a guiding document for government to advance three overarching goals:
● Goal 1: Drive delivery of ocean biodiversity knowledge at the national scale. Objectives include developing an Implementation Plan for achieving the strategy’s three goals; establishing a coordination mechanism to manage the implementation; and documenting gaps in biodiversity knowledge and the benefits of ocean biodiversity to people and economies.
● Goal 2: Strengthen tools and institutions to deliver ocean biodiversity knowledge. Objectives include establishing a robust information pipeline to support indicators and dynamic maps of ocean biodiversity, from the coasts to the deep sea. This pipeline should include expanded observing systems and comprehensive data management; science and technology solutions to accelerate the availability of biodiversity information; and plans to leverage previous investments to rebuild and expand the nation’s human capital and infrastructure to sustain foundational taxonomy and biodiversity science.
● Goal 3: Protect, conserve, restore, and sustainably use ocean biodiversity. Objectives include expanding the collection, delivery, and use of biodiversity knowledge to inform actions that advance ocean protection, conservation, restoration, and sustainable development. Government should lead in establishing and incentivizing diverse partnerships across scales and sectors to implement those actions and should educate and involve the public to discover and value the nation’s diverse ocean life. Achieving these goals will require commitments across society: new federal and private investments, coordination across sectors to address climate and equity challenges, and engagement of Indigenous Knowledge holders and frontline communities as full partners throughout planning and implementation. The Subcommittee on Ocean Science and Technology (SOST) IWG-Biodiversity will begin developing an Implementation Plan to describe and direct specific actions to implement the strategy. Successful implementation of the strategy will harmonize and expand collection and delivery of timely knowledge on ocean life to all of society. The strategy will also enable evidence-based management and protection of the ocean. Advancing the strategy will build human and institutional capital and partnerships that support both existing mandates and new needs to rebuild and sustain biodiversity, achieve healthy ocean ecosystems, and manage living resources. Implementing the strategy will deliver knowledge for monitoring, modeling, forecasting, and assessments that support food security, public health, and cultural values, and that more effectively protect, conserve, and restore nature.
","language":"English","publisher":"White House Office of Science, Technology, and Policy (OSTP)","collaboration":"National Oceanic and Atmospheric Administration, Smithsonian, Bureau of Ocean Energy Management, University Corporation for Atmospheric Research, Environmental Protection Agency, Office of Naval Research, National Science Foundation, National Aeronautics and Space Administration","usgsCitation":"Canonico, G., Duffy, J., Edmonson, M., Fillingham, K., Benson, A., Bisson, K., Demopoulos, A., Hinchey, B., Matsumoto, K., Meyer, C., Price, J., Shen, E., Turner, W., Weise, M., Vander Woude, A., and Wenzel, L., 2024, The National Ocean Biodiversity Strategy, vi, 18 p.","productDescription":"vi, 18 p.","ipdsId":"IP-166759","costCenters":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":430840,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":430823,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://bidenwhitehouse.archives.gov/wp-content/uploads/2024/06/NSTC_National-Ocean-Biodiversity-Strategy.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Canonico, Gabrielle","contributorId":217563,"corporation":false,"usgs":false,"family":"Canonico","given":"Gabrielle","email":"","affiliations":[{"id":39659,"text":"National Oceanographic and Atmospheric Administration, US Integrated Ocean Observing System, Silver Spring, MD, USA","active":true,"usgs":false}],"preferred":false,"id":905819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duffy, J. Emmett","contributorId":270555,"corporation":false,"usgs":false,"family":"Duffy","given":"J. Emmett","affiliations":[],"preferred":false,"id":905820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edmonson, Masha","contributorId":339977,"corporation":false,"usgs":false,"family":"Edmonson","given":"Masha","email":"","affiliations":[{"id":36726,"text":"University Corporation for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":905821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fillingham, Katie","contributorId":339534,"corporation":false,"usgs":false,"family":"Fillingham","given":"Katie","email":"","affiliations":[{"id":36726,"text":"University Corporation for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":905822,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Benson, Abigail 0000-0002-4391-107X","orcid":"https://orcid.org/0000-0002-4391-107X","contributorId":202078,"corporation":false,"usgs":true,"family":"Benson","given":"Abigail","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":905823,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bisson, Kelsey","contributorId":339979,"corporation":false,"usgs":false,"family":"Bisson","given":"Kelsey","email":"","affiliations":[{"id":37453,"text":"National Aeronautics and Space Administration","active":true,"usgs":false}],"preferred":false,"id":905824,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Demopoulos, Amanda 0000-0003-2096-4694","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":210316,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":905825,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hinchey, Beth","contributorId":339981,"corporation":false,"usgs":false,"family":"Hinchey","given":"Beth","email":"","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":905826,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Matsumoto, Katsumi","contributorId":224012,"corporation":false,"usgs":false,"family":"Matsumoto","given":"Katsumi","email":"","affiliations":[],"preferred":false,"id":905827,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Meyer, Chris","contributorId":339540,"corporation":false,"usgs":false,"family":"Meyer","given":"Chris","email":"","affiliations":[],"preferred":false,"id":905828,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Price, James","contributorId":156327,"corporation":false,"usgs":false,"family":"Price","given":"James","affiliations":[{"id":20318,"text":"Bureau of Ocean Energy Management","active":true,"usgs":false}],"preferred":false,"id":905829,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Shen, Elaine","contributorId":339535,"corporation":false,"usgs":false,"family":"Shen","given":"Elaine","email":"","affiliations":[{"id":12642,"text":"National Science Foundation","active":true,"usgs":false}],"preferred":false,"id":905830,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Turner, Woody","contributorId":149221,"corporation":false,"usgs":false,"family":"Turner","given":"Woody","email":"","affiliations":[{"id":17679,"text":"Earth Science Division, NASA Headquarters, Washington D.C.","active":true,"usgs":false}],"preferred":false,"id":905831,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Weise, Mike","contributorId":339528,"corporation":false,"usgs":false,"family":"Weise","given":"Mike","email":"","affiliations":[{"id":63888,"text":"Office of Naval Research","active":true,"usgs":false}],"preferred":false,"id":905832,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Vander Woude, Andrea","contributorId":339983,"corporation":false,"usgs":false,"family":"Vander Woude","given":"Andrea","email":"","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":905833,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wenzel, Lauren","contributorId":339985,"corporation":false,"usgs":false,"family":"Wenzel","given":"Lauren","email":"","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":905834,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70256555,"text":"70256555 - 2024 - Pasture and diurnal temperature are key predictors of regional Plains Spotted Skunk (Spilogale interrupta) distribution","interactions":[],"lastModifiedDate":"2024-10-08T16:28:41.215656","indexId":"70256555","displayToPublicDate":"2024-06-27T11:22:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Pasture and diurnal temperature are key predictors of regional Plains Spotted Skunk (Spilogale interrupta) distribution","title":"Pasture and diurnal temperature are key predictors of regional Plains Spotted Skunk (Spilogale interrupta) distribution","docAbstract":"The Plains Spotted Skunk (Spilogale interrupta) is a small carnivore native to central North America that has experienced significant population reductions, and there is a lack of information about the species that could inform conservation. Our study aimed to address knowledge gaps about the distribution and habitat associations of the species in South Dakota using species distribution modeling. We used species location data collected from state natural resource managers, trappers, and members of online social media groups dedicated to hunting and wildlife conservation; environmental predictors; and 6 predictive modeling algorithms (i.e., artificial neural networks, artificial classification tree analysis, generalized boosting models, maximum entropy, multivariate adaptive regression splines, and random forests) to develop climate and landcover ensemble distribution models. The most important climate and landcover predictors were mean temperature diurnal range (i.e., average monthly differences between daily high and low temperatures) and proportion of area classified as pasture. Ensemble model concordance identified approximately 31,300 km2 of potential Plains Spotted Skunk habitat primarily in eastern South Dakota and between the watersheds of the Missouri and James rivers. Our results offer insights that can guide conservation and inform effective management strategies for conserving Plains Spotted Skunk populations in the northern Great Plains. The promotion of low-intensity agricultural practices such as maintaining pastures, farm buildings, fences rows, and the management of woodland encroachment may improve habitat suitability and facilitate the recovery of plains spotted skunks in the region.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyae063","usgsCitation":"White, K.M., Cheeseman, A.E., Stafford, J.D., and Lonsinger, R.C., 2024, Pasture and diurnal temperature are key predictors of regional Plains Spotted Skunk (Spilogale interrupta) distribution: Journal of Mammalogy, https://doi.org/10.1093/jmammal/gyae063.","ipdsId":"IP-154327","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":462702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-104.054487,44.180381],[-104.055914,44.874986],[-104.057698,44.997431],[-104.039681,44.998041],[-104.040114,45.374214],[-104.045443,45.94531],[-100.430597,45.943638],[-99.005754,45.939944],[-98.414518,45.936504],[-96.56328,45.935238],[-96.564002,45.91956],[-96.56703,45.915682],[-96.56442,45.909415],[-96.568315,45.902902],[-96.568772,45.888072],[-96.571354,45.886673],[-96.571871,45.871846],[-96.574667,45.866816],[-96.572984,45.861602],[-96.574517,45.843098],[-96.583085,45.820024],[-96.596704,45.811801],[-96.612512,45.794442],[-96.627778,45.786239],[-96.638726,45.770171],[-96.641941,45.759871],[-96.652226,45.746809],[-96.662595,45.738682],[-96.672665,45.732336],[-96.711157,45.717561],[-96.745086,45.701576],[-96.75035,45.698782],[-96.760866,45.687518],[-96.835769,45.649648],[-96.844211,45.639583],[-96.852392,45.61484],[-96.857751,45.605962],[-96.801987,45.555414],[-96.79384,45.550724],[-96.76528,45.521414],[-96.745487,45.488712],[-96.743486,45.480649],[-96.738446,45.473499],[-96.732739,45.458737],[-96.692541,45.417338],[-96.680454,45.410499],[-96.617726,45.408092],[-96.60118,45.403181],[-96.562142,45.38609],[-96.521787,45.375645],[-96.489065,45.357071],[-96.469246,45.324941],[-96.468027,45.318619],[-96.46191,45.313884],[-96.453067,45.298115],[-96.451232,44.718375],[-96.453049,43.500415],[-96.598928,43.500457],[-96.599182,43.496011],[-96.586274,43.491099],[-96.580997,43.481384],[-96.586364,43.478251],[-96.584603,43.46961],[-96.587929,43.464878],[-96.600039,43.45708],[-96.60286,43.450907],[-96.594254,43.434153],[-96.587884,43.431685],[-96.575181,43.431756],[-96.570224,43.428601],[-96.573579,43.419228],[-96.562728,43.412782],[-96.557586,43.406792],[-96.537116,43.395063],[-96.531159,43.39561],[-96.529152,43.397735],[-96.525453,43.396317],[-96.521572,43.38564],[-96.521323,43.374607],[-96.526467,43.368314],[-96.527223,43.362257],[-96.526635,43.351833],[-96.524289,43.347214],[-96.534913,43.336473],[-96.528817,43.316561],[-96.525564,43.312467],[-96.530392,43.300034],[-96.553087,43.29286],[-96.555246,43.294803],[-96.56911,43.295535],[-96.573556,43.29917],[-96.581052,43.297118],[-96.579094,43.293797],[-96.577588,43.2788],[-96.580904,43.2748],[-96.582876,43.274594],[-96.582939,43.276536],[-96.586317,43.274319],[-96.58522,43.268878],[-96.576804,43.268308],[-96.564165,43.260239],[-96.554968,43.259998],[-96.552591,43.257769],[-96.552963,43.247281],[-96.565253,43.244241],[-96.571194,43.238961],[-96.568505,43.231554],[-96.56044,43.224219],[-96.554937,43.226775],[-96.540088,43.225698],[-96.535741,43.22764],[-96.526865,43.224071],[-96.519273,43.21769],[-96.500759,43.220767],[-96.496454,43.223652],[-96.485264,43.224183],[-96.476697,43.222014],[-96.470626,43.207225],[-96.473777,43.198766],[-96.473834,43.189804],[-96.472395,43.185644],[-96.465146,43.182971],[-96.467292,43.164066],[-96.466537,43.150281],[-96.459978,43.143516],[-96.450361,43.142237],[-96.443431,43.133825],[-96.440801,43.123129],[-96.436589,43.120842],[-96.439335,43.113916],[-96.462855,43.091419],[-96.462636,43.089614],[-96.455337,43.088129],[-96.454088,43.084197],[-96.455209,43.075053],[-96.46085,43.064033],[-96.468207,43.06186],[-96.473165,43.06355],[-96.476905,43.062383],[-96.490365,43.050789],[-96.501748,43.048632],[-96.510256,43.049917],[-96.518431,43.042068],[-96.509145,43.037297],[-96.512916,43.029962],[-96.510995,43.024701],[-96.499187,43.019213],[-96.49167,43.009707],[-96.496699,42.998807],[-96.509986,42.995126],[-96.512886,42.991424],[-96.512237,42.985937],[-96.516724,42.981458],[-96.520773,42.980385],[-96.515922,42.972886],[-96.506148,42.971348],[-96.503132,42.968192],[-96.500308,42.959391],[-96.504857,42.954659],[-96.509472,42.945151],[-96.519994,42.93976],[-96.516419,42.935438],[-96.516888,42.932512],[-96.525536,42.935511],[-96.541689,42.922576],[-96.536564,42.905656],[-96.542847,42.903737],[-96.539397,42.899964],[-96.536007,42.900901],[-96.528886,42.89795],[-96.526357,42.891852],[-96.540116,42.889678],[-96.537851,42.878475],[-96.546394,42.874464],[-96.549659,42.870281],[-96.550469,42.863742],[-96.546556,42.857273],[-96.541708,42.858871],[-96.545502,42.849956],[-96.554709,42.846142],[-96.554203,42.843648],[-96.549976,42.840705],[-96.551285,42.836606],[-96.556162,42.836675],[-96.560572,42.839373],[-96.56284,42.836309],[-96.563058,42.831051],[-96.565605,42.830434],[-96.571353,42.837155],[-96.581604,42.837521],[-96.58238,42.833657],[-96.577813,42.828719],[-96.585699,42.818041],[-96.596008,42.815044],[-96.595664,42.810426],[-96.590913,42.808987],[-96.595283,42.792982],[-96.602575,42.787767],[-96.603784,42.78372],[-96.61949,42.784034],[-96.626406,42.773518],[-96.632142,42.770863],[-96.632212,42.761512],[-96.628741,42.757532],[-96.621235,42.758084],[-96.619494,42.754792],[-96.630485,42.750378],[-96.639704,42.737071],[-96.631931,42.725086],[-96.624704,42.725497],[-96.624446,42.714294],[-96.630617,42.70588],[-96.612555,42.698402],[-96.61017,42.694568],[-96.59908,42.697296],[-96.596625,42.695122],[-96.596405,42.688514],[-96.58562,42.687076],[-96.575299,42.682665],[-96.574064,42.67801],[-96.578148,42.672765],[-96.572261,42.670776],[-96.569194,42.675509],[-96.566684,42.675942],[-96.556244,42.664396],[-96.5599,42.662819],[-96.559962,42.658543],[-96.556214,42.657949],[-96.546827,42.661491],[-96.542366,42.660736],[-96.537877,42.655431],[-96.537881,42.646446],[-96.526766,42.641184],[-96.516338,42.630435],[-96.515918,42.624994],[-96.518542,42.62035],[-96.530896,42.617129],[-96.529894,42.610432],[-96.525671,42.609312],[-96.517048,42.615343],[-96.509468,42.61273],[-96.500183,42.594106],[-96.501037,42.589247],[-96.494777,42.585741],[-96.49545,42.579474],[-96.485796,42.575001],[-96.489328,42.5708],[-96.498709,42.57087],[-96.498041,42.558153],[-96.476952,42.556079],[-96.479909,42.524195],[-96.490802,42.520331],[-96.49297,42.517282],[-96.490089,42.512441],[-96.477454,42.509589],[-96.473339,42.503537],[-96.476909,42.497795],[-96.476509,42.493595],[-96.474409,42.491895],[-96.46255,42.490788],[-96.456348,42.492478],[-96.443408,42.489495],[-96.478792,42.479635],[-96.501321,42.482749],[-96.508587,42.486691],[-96.515891,42.49427],[-96.520683,42.504761],[-96.528753,42.513273],[-96.538036,42.518131],[-96.548791,42.520547],[-96.567896,42.517877],[-96.591121,42.50541],[-96.603468,42.50446],[-96.611489,42.506088],[-96.625958,42.513576],[-96.628179,42.516963],[-96.632882,42.528987],[-96.63533,42.54764],[-96.643589,42.557604],[-96.658754,42.566426],[-96.681369,42.574486],[-96.7093,42.603753],[-96.711546,42.614758],[-96.709485,42.621932],[-96.687788,42.645992],[-96.687082,42.652093],[-96.691269,42.6562],[-96.728024,42.666882],[-96.746949,42.666223],[-96.76406,42.661985],[-96.793238,42.666024],[-96.800986,42.669758],[-96.802178,42.672237],[-96.800485,42.692466],[-96.801652,42.698774],[-96.806219,42.704149],[-96.843419,42.712024],[-96.860436,42.720797],[-96.886845,42.725222],[-96.906797,42.7338],[-96.924156,42.730327],[-96.948902,42.719465],[-96.961576,42.719841],[-96.964776,42.722455],[-96.965833,42.727096],[-96.96123,42.740623],[-96.96888,42.754278],[-96.97912,42.76009],[-96.99282,42.759481],[-97.02485,42.76243],[-97.033229,42.765904],[-97.065592,42.772189],[-97.096128,42.76934],[-97.131331,42.771929],[-97.134461,42.774494],[-97.138216,42.783428],[-97.150763,42.795566],[-97.166978,42.802087],[-97.200431,42.805485],[-97.210126,42.809296],[-97.213084,42.813007],[-97.213957,42.820143],[-97.218269,42.829561],[-97.217411,42.843519],[-97.218825,42.845848],[-97.237868,42.853139],[-97.251764,42.855432],[-97.267946,42.852583],[-97.289859,42.855499],[-97.306677,42.867604],[-97.336156,42.856802],[-97.359569,42.854816],[-97.368643,42.858419],[-97.376695,42.865195],[-97.393966,42.86425],[-97.408315,42.868334],[-97.417066,42.865918],[-97.431951,42.851542],[-97.442279,42.846224],[-97.452177,42.846048],[-97.470529,42.850455],[-97.49149,42.851625],[-97.504847,42.858477],[-97.531867,42.850105],[-97.561928,42.847552],[-97.591916,42.853837],[-97.603762,42.858329],[-97.611811,42.858367],[-97.657846,42.844626],[-97.686506,42.842435],[-97.72045,42.847439],[-97.774456,42.849774],[-97.817075,42.861781],[-97.828496,42.868797],[-97.84527,42.867734],[-97.875345,42.858724],[-97.877003,42.854394],[-97.875849,42.847725],[-97.878976,42.843673],[-97.879878,42.835395],[-97.888562,42.817251],[-97.908983,42.794909],[-97.921434,42.788352],[-97.936716,42.775754],[-97.950147,42.769619],[-97.977588,42.769923],[-98.000348,42.763256],[-98.017228,42.762411],[-98.035034,42.764205],[-98.059838,42.772772],[-98.062913,42.781119],[-98.067388,42.784759],[-98.094574,42.799309],[-98.107688,42.810633],[-98.127489,42.820127],[-98.137912,42.832728],[-98.146933,42.839823],[-98.167523,42.836925],[-98.189765,42.841628],[-98.219826,42.853157],[-98.25181,42.872824],[-98.280007,42.874996],[-98.325864,42.8865],[-98.34623,42.902747],[-98.42074,42.931924],[-98.430934,42.931504],[-98.437285,42.928393],[-98.444145,42.929242],[-98.448309,42.936428],[-98.467356,42.947556],[-98.490483,42.977948],[-98.49855,42.99856],[-100.472742,42.999288],[-101.625424,42.996238],[-101.849982,42.999329],[-104.053127,43.000585],[-104.055488,43.853476],[-104.054487,44.180381]]]},\"properties\":{\"name\":\"South Dakota\",\"nation\":\"USA \"}}]}","edition":"Online First","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"White, Kara M.","contributorId":341115,"corporation":false,"usgs":false,"family":"White","given":"Kara","email":"","middleInitial":"M.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":907962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cheeseman, Amanda E.","contributorId":341116,"corporation":false,"usgs":false,"family":"Cheeseman","given":"Amanda","email":"","middleInitial":"E.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":907963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stafford, Joshua D. 0000-0001-7590-8708 jstafford@usgs.gov","orcid":"https://orcid.org/0000-0001-7590-8708","contributorId":267260,"corporation":false,"usgs":true,"family":"Stafford","given":"Joshua","email":"jstafford@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":907964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lonsinger, Robert Charles 0000-0002-1040-7299","orcid":"https://orcid.org/0000-0002-1040-7299","contributorId":340524,"corporation":false,"usgs":true,"family":"Lonsinger","given":"Robert","email":"","middleInitial":"Charles","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907965,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70255665,"text":"ofr20241034 - 2024 - Total phosphorus and suspended-sediment concentrations and loads from two main tributaries to Upper Klamath Lake, Oregon, 2014–20","interactions":[],"lastModifiedDate":"2026-01-29T19:46:30.854293","indexId":"ofr20241034","displayToPublicDate":"2024-06-27T09:16:43","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1034","displayTitle":"Total Phosphorus and Suspended-Sediment Concentrations and Loads from Two Main Tributaries to Upper Klamath Lake, Oregon, 2014–20","title":"Total phosphorus and suspended-sediment concentrations and loads from two main tributaries to Upper Klamath Lake, Oregon, 2014–20","docAbstract":"Total phosphorus (TP) and suspended-sediment concentrations (SSC) and loads were computed at two U.S. Geological Survey (USGS) streamgages in the upper Klamath River Basin on the Sprague (USGS site ID 11501000) and Williamson (USGS site ID 11502500) Rivers using high temporal resolution turbidity and streamflow data to develop surrogate regression models. Regression models were updated and validated for TP at the Williamson River site, and additional data improved a prior published TP model, increasing the coefficient of determination (R2) from 0.73 to 0.88. A new TP regression model was developed for the Sprague River site using 2 years of data and showed promising results with an R2 of 0.93. Suspended-sediment concentration (SSC) surrogate models were also updated at these sites using a longer period of record than the TP models and improved characterization of sediment transport conditions at these monitoring sites.
Computations of TP loads were compared to the annual loading capacity dictated by the total maximum daily load (TMDL) for Upper Klamath Lake and showed that the combined TP load of the Williamson and Sprague Rivers approaches the annual loading capacity in water years with high annual streamflow. TP loads were also compared to loads computed by the Klamath Tribes using a long-term dataset and a regression and interpolation algorithm (RIA). The comparison showed that the two methods report similar annual loads, with the surrogate regression method generally reporting lower loads than the RIA, and the RIA annual loads falling within the range of uncertainty of the surrogate regression model results. Determining the effect of habitat and stream restoration on basin-scale TP and suspended-sediment loading is challenging using the surrogate regression method at these sites given the short period of record that TP and suspended-sediment load (SSL) data are available. However, long-term analysis by the Klamath Tribes in their larger monitoring network could provide insight into the impact of restoration at smaller spatial scales compared to the basin-wide assessment produced in this study.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241034","collaboration":"Prepared in cooperation with the Klamath Tribes and the Oregon Watershed Enhancement Board","usgsCitation":"Schenk, L.N., and Simeone, C., 2024, Total phosphorus and suspended-sediment concentrations and loads from two main tributaries to Upper Klamath Lake, Oregon, 2014–20: U.S. Geological Survey Open-File Report 2024–1034, 18 p., https://doi.org/10.3133/ofr20241034.","productDescription":"viii, 18 p.","onlineOnly":"Y","ipdsId":"IP-155613","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":430574,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1034/ofr20241034.pdf","text":"Report","size":"4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1034"},{"id":430573,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1034/ofr20241034.jpg"},{"id":430577,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1034/ofr20241034.XML"},{"id":430576,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1034/images"},{"id":430575,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241034/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1034"},{"id":499255,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117101.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.39459049262162,\n 42.010424780518264\n ],\n [\n -119.81143415588565,\n 42.010424780518264\n ],\n [\n -119.81143415588565,\n 43.21983555337732\n ],\n [\n -122.39459049262162,\n 43.21983555337732\n ],\n [\n -122.39459049262162,\n 42.010424780518264\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
601 SW Second Avenue, Suite 1950
Portland, Oregon 97204