Groundwater pumping can reduce streamflow in nearby waterways (‘streamflow depletion’), a process which must be accounted for in integrated management of surface and groundwater resources. However, causal identification of streamflow depletion from hydrographs alone is challenging because pumping impacts are masked by other drivers of hydrologic variability. To identify potential indicators of streamflow depletion, we used synthetic hydrographs and an analytical streamflow depletion model to assess potential pumping impacts on specific hydrograph characteristics (‘hydrologic signatures’) for 215 streamgages spanning the conterminous United States (CONUS). We found that streamflow depletion commonly impacts signatures associated with seasonal and annual low flows and low flow recessions. The largest impacts occurred during dry years, suggesting streamflow depletion may be evident in dry years even where impacts are unmeasurable in wet years. Random forest models indicated that streamflow depletion could significantly impact Annual, Summer, and Fall signatures in most streams. Our finding that multiple hydrologic signatures are consistently responsive to streamflow depletion across CONUS suggests that the underlying hydrological processes linking pumping to streamflow reductions are consistent across diverse settings, information that will aid in identifying indicators of streamflow depletion from streamflow hydrographs.
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0000-0002-8735-5757","orcid":"https://orcid.org/0000-0002-8735-5757","contributorId":225160,"corporation":false,"usgs":false,"family":"Zipper","given":"Samuel","email":"","affiliations":[{"id":41056,"text":"Kansas Geological Survey, University of Kansas, Lawrence KS 66047, USA","active":true,"usgs":false}],"preferred":false,"id":875668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hammond, John C. 0000-0002-4935-0736","orcid":"https://orcid.org/0000-0002-4935-0736","contributorId":223108,"corporation":false,"usgs":true,"family":"Hammond","given":"John C.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":875669,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70245145,"text":"70245145 - 2023 - Evaluating population trends of juvenile Atlantic Sturgeon at low abundance in a dynamic estuarine environment (Hudson River, New York)","interactions":[],"lastModifiedDate":"2023-09-20T16:18:28.999697","indexId":"70245145","displayToPublicDate":"2023-06-19T10:36:33","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating population trends of juvenile Atlantic Sturgeon at low abundance in a dynamic estuarine environment (Hudson River, New York)","docAbstract":"Evaluating population trends in dynamic estuarine environments can be challenging, especially when survey data include a high percentage of zero observations. In fishery-independent surveys, zeros that come from reduced susceptibility to sample gears and reduced availability of the population to the survey impact survey catchability and negatively bias relative abundance indices. A zero-inflated negative binomial model was used to standardize a juvenile Atlantic Sturgeon (Acipenser oxyrinchus oxyrinchus) relative abundance index (Hudson River, New York) that included a high proportion (42%) of zero observations and intra- and interannually variable covariates. Reduced susceptibility was related to low water temperature, with the percentage of zeroes increasing rapidly below 7°C. Availability was influenced by temperature and distance to salt front, as catch rates increased with temperature and peaked in mesohaline waters ~27 km downstream of the predicted salt front. An alternative index suggested significant population growth (r = 0.15; p-value = 0.007) occurred from 2004 to 2015. The zero-inflated model helped better understand Hudson River juvenile Atlantic Sturgeon ecology and relative trends in abundance, to better inform future management and monitoring decisions along the Atlantic Coast.
","language":"English","publisher":"Wiley","doi":"10.1111/fme.12638","usgsCitation":"Dufour, M.R., and Qian, S.S., 2023, Evaluating population trends of juvenile Atlantic Sturgeon at low abundance in a dynamic estuarine environment (Hudson River, New York): Fisheries Management and Ecology, v. 30, no. 5, p. 507-520, https://doi.org/10.1111/fme.12638.","productDescription":"14 p.","startPage":"507","endPage":"520","ipdsId":"IP-133677","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":499248,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fme.12638","text":"Publisher Index Page"},{"id":418213,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Haverstraw Bay, Hudson River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.98965367137986,\n 41.27278785874276\n ],\n [\n -73.98810103364949,\n 41.21441540680195\n ],\n [\n -73.96481146769594,\n 41.172354958942265\n ],\n [\n -73.92754816217085,\n 41.15131460173012\n ],\n [\n -73.85923210204054,\n 41.15365275277256\n ],\n [\n -73.87010056615213,\n 41.1898834296822\n ],\n [\n -73.9042585962173,\n 41.222590688889795\n ],\n [\n -73.93686398855216,\n 41.24477558908072\n ],\n [\n -73.94152190174316,\n 41.26578591767401\n ],\n [\n -73.98965367137986,\n 41.27278785874276\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"30","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-06-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Dufour, Mark Richard 0000-0001-6930-7666","orcid":"https://orcid.org/0000-0001-6930-7666","contributorId":291450,"corporation":false,"usgs":true,"family":"Dufour","given":"Mark","email":"","middleInitial":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":875670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qian, Song S. 0000-0002-2346-4903","orcid":"https://orcid.org/0000-0002-2346-4903","contributorId":306033,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[{"id":62440,"text":"Department of Environmental Sciences, University of Toledo, Toledo, OH 43606","active":true,"usgs":false}],"preferred":false,"id":875671,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70248864,"text":"70248864 - 2023 - Antimycin A species sensitivity distribution: Perspectives for non-indigenous fish control","interactions":[],"lastModifiedDate":"2023-09-25T12:15:23.015113","indexId":"70248864","displayToPublicDate":"2023-06-19T07:13:17","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Antimycin A species sensitivity distribution: Perspectives for non-indigenous fish control","docAbstract":"The global transfer of aquatic biota outside their native geographical range has resulted in dramatic changes to biological communities. Many nonnative species introductions are facilitated by human activity and then spread intra-continentally through connected watersheds once established. Resource managers therefore utilize multiple control technologies, such as management chemicals, for fisheries management to remove non-indigenous fishes. Antimycin-A (ANT-A) is a management chemical, previously registered in the United States, that has been extensively studied and used to control non-indigenous fishes. The present study examines ANT-A species sensitivity among fish and aquatic invertebrates and summarizes factors that influence toxicity. ANT-A species sensitivity distributions 20th percentile hazard concentrations (HC20) for acute studies ≤ 24 h demonstrated fish (0.088 µg/L) are 174-fold more sensitive to ANT-A than invertebrates (15.35 µg/L). Similar to previous reports, toxicity was demonstrated to be influenced by water pH, temperature, and fish mass. Therefore, the present study and results characterize ANT-A toxicity for aquatic resource managers and future use in fisheries management.","language":"English","publisher":"REABIC (Regional Euro-Asian Biological Invasions Centre)","doi":"10.3391/mbi.2023.14.3.09","usgsCitation":"Saari, G.N., 2023, Antimycin A species sensitivity distribution: Perspectives for non-indigenous fish control: Management of Biological Invasions, v. 14, no. 3, p. 503-517, https://doi.org/10.3391/mbi.2023.14.3.09.","productDescription":"15 p.","startPage":"503","endPage":"517","ipdsId":"IP-132452","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":443032,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2023.14.3.09","text":"Publisher Index Page"},{"id":421124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Saari, Gavin N. 0000-0002-3593-5127 gsaari@usgs.gov","orcid":"https://orcid.org/0000-0002-3593-5127","contributorId":289203,"corporation":false,"usgs":true,"family":"Saari","given":"Gavin","email":"gsaari@usgs.gov","middleInitial":"N.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":883977,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70249193,"text":"70249193 - 2023 - Evaluation of nearshore bathymetric inversion algorithms using camera observations and synthetic numerical input of surface waves during storms","interactions":[],"lastModifiedDate":"2023-10-02T12:05:24.844076","indexId":"70249193","displayToPublicDate":"2023-06-19T07:01:41","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of nearshore bathymetric inversion algorithms using camera observations and synthetic numerical input of surface waves during storms","docAbstract":"Nearshore bathymetry is difficult to measure using survey methods when wave heights approach the breaking limit. Remote sensing using digital cameras offers a way to observe the surf zone and calculate water depths based on phase speed but comes with its challenges of potentially noisy data that can introduce error into estimates of frequency and wavenumber used in phase speed calculation. This study investigates the robustness of a new version of a bathymetric inversion algorithm (cBathy, version 2.0) in moderate to energetic wave conditions by comparing depth estimates from timeseries’ of pixel intensity with depth estimates from synthetic water level data. The synthetic data are generated by the phase-resolving numerical model, SWASH, and optical data were collected during a field experiment in 2015. Model results from SWASH computed with known bathymetry are used as input to cBathy, and depth estimates are compared to nearshore surveys. Argus camera observations are also used as input to cBathy for the same times as the SWASH simulations. The SWASH simulations resolve breaking waves and do not include (optical) changes to the relation between water surface slope and pixel intensity, termed modulation transfer function, that occur during wave breaking, enabling better estimates from bathymetric inversion algorithms near morphologic features like sand bars. The results indicate that improvements result from eliminating of disruptions to the modulation transfer function caused by wave breaking and residual foam. We show that the use of synthetic wave data is a valuable means of isolating errors in bathymetric inversion algorithms.
During much of the 21st century, natural runoff in the Colorado River basin has declined, while consumption has remained relatively constant, leading to historically low reservoir storage. Between January 2000 and April 2023, the amount of water stored in Lake Mead and Lake Powell, the two largest reservoirs in the United States, declined by 33.5 million acre feet (41.3 billion cubic meters). As of April 2023, total basin-wide storage was sufficient to support the 21st century average rate of basin-wide consumption for only 15 months. Runoff in spring 2023 is predicted to be large, providing a short-term reprieve. However, it will take four to five additional unusually wet years in succession to refill Lake Powell and Lake Mead if basin-wide water use remains unchanged. Increasing evapotranspiration and dry soils associated with global climate change makes such a scenario unlikely. To stabilize reservoir storage, basin-wide use needs to equal modern runoff. To recover reservoir storage, basin-wide use needs to decline even more. Based on 21st century average runoff, a 13%–20% decline in basin-wide use would allow for stabilization and some reservoir storage recovery. Future policy debate about reservoir operations will inevitably concern whether most, or all, reservoir storage should be in Lake Mead or in Lake Powell. The choice of one or the other will result in significantly different environmental and recreational outcomes for Glen Canyon and the Grand Canyon.
","language":"English","publisher":"Wiley Interdisciplinary Reviews","doi":"10.1002/wat2.1672","usgsCitation":"Schmidt, J.C., Yackulic, C., and Kuhn, E., 2023, The Colorado River water crisis: Its origin and the future: WIREs Water, v. 10, no. 6, e1672, 11 p., https://doi.org/10.1002/wat2.1672.","productDescription":"e1672, 11 p.","ipdsId":"IP-148177","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":443043,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wat2.1672","text":"Publisher Index Page"},{"id":418391,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona, Baja California, California, Colorado, Nevada, New Mexico, Sonora, Utah, Wyoming","otherGeospatial":"Colorado River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.48421418796046,\n 31.35434215860566\n ],\n [\n -113.65259586662187,\n 32.23920414412936\n ],\n [\n -112.21089756604964,\n 31.90052568352887\n ],\n [\n -111.87558421754458,\n 32.20952085093056\n ],\n [\n -111.28541066018629,\n 32.11399667847604\n ],\n [\n -111.23279241837177,\n 31.437228609979257\n ],\n [\n -110.94817616136105,\n 30.97237021578711\n ],\n [\n -109.99614795253682,\n 31.0580658429583\n ],\n [\n -109.765123637271,\n 31.565815216207625\n ],\n [\n -109.2216186810205,\n 31.780902751508492\n ],\n [\n -108.70850128918396,\n 31.58004054549238\n ],\n [\n -107.23835863291889,\n 32.490078241661664\n ],\n [\n -106.730360119866,\n 34.66458922372419\n ],\n [\n -107.42958642929439,\n 35.07481907867975\n ],\n [\n -106.85826554201257,\n 35.61881061726045\n ],\n [\n -105.7061398095985,\n 37.33375003848154\n ],\n [\n -105.879787594186,\n 39.89096635274717\n ],\n [\n -106.74739533342402,\n 41.696412051333766\n ],\n [\n -106.68778798532564,\n 42.531437760880465\n ],\n [\n -108.38774334794128,\n 42.38607065176245\n ],\n [\n -110.40321867986886,\n 43.243504117137775\n ],\n [\n -111.01626499710237,\n 42.72084370600541\n ],\n [\n -111.07561236378847,\n 41.02050419347333\n ],\n [\n -112.02989616951957,\n 39.12042969242722\n ],\n [\n -113.30959508904654,\n 37.1563348714911\n ],\n [\n -114.37484829397191,\n 37.048946927772775\n ],\n [\n -114.7380747976792,\n 38.490173161398246\n ],\n [\n -116.45388765022786,\n 38.98493898775925\n ],\n [\n -116.41298707291212,\n 37.45745026322449\n ],\n [\n -115.37080488894956,\n 35.768178708278725\n ],\n [\n -115.16334164848244,\n 33.20321074731645\n ],\n [\n -116.48506247630979,\n 33.87016090096576\n ],\n [\n -116.22048705379954,\n 32.88635352395437\n ],\n [\n -115.44554171380956,\n 31.52088586510753\n ],\n [\n -114.48421418796046,\n 31.35434215860566\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"10","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, John C.","contributorId":207751,"corporation":false,"usgs":false,"family":"Schmidt","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":37627,"text":"Department of Watershed Sciences, Utah State University, Logan, UT, USA","active":true,"usgs":false}],"preferred":false,"id":876047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":876048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuhn, Eric","contributorId":311212,"corporation":false,"usgs":false,"family":"Kuhn","given":"Eric","email":"","affiliations":[{"id":67359,"text":"General Manager, Colorado River Water Conservation District (retired) Glenwood Springs, CO","active":true,"usgs":false}],"preferred":false,"id":876049,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70247935,"text":"70247935 - 2023 - Modeling the effects of large-scale interior headland restoration on tidal hydrodynamics and salinity transport in an open coast, marine-dominant estuary","interactions":[],"lastModifiedDate":"2023-08-24T12:02:06.018325","indexId":"70247935","displayToPublicDate":"2023-06-16T06:55:25","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the effects of large-scale interior headland restoration on tidal hydrodynamics and salinity transport in an open coast, marine-dominant estuary","docAbstract":"The effects of large-scale interior headland restoration on tidal hydrodynamics and salinity transport in an open coast, marine dominant estuary (Grand Bay, Alabama, U.S.A) are investigated using a two-dimensional model, the Discontinuous-Galerkin Shallow Water Equations Model (DG-SWEM). Three restoration alternatives are simulated for present-day conditions, as well as under 0.5 m of sea level rise (SLR). Model results show that the restoration alternatives have no impact on tidal range within the estuary but change maximum tidal velocities by ±5 cm/s in the present-day scenarios and by ±7 cm/s in the scenarios with 0.5 m of SLR. Differences in average salinity concentrations for simulated tropical and frontal seasons show increases and decreases on the order of 2 pss in the embayments surrounding the restoration alternatives; differences were larger (on the order of ±4 pss) for the scenarios with 0.5 m of SLR. There were minimal changes in average salinity outside of the estuary and no changes offshore. The size and position of the alternatives played a role in the salinity response as a result of changing the estuarine shoreline geometry and affecting the fetch within the bay. SLR was more impactful in increasing exposure to low salinity values (i.e., less than 5 pss) than the presence of the restoration alternatives. Overall, the modeled results indicate that these large-scale restoration actions have limited and localized impacts on the hydrodynamics and salinity patterns in this open coast estuary. The results also demonstrate the nonlinear response of salinity to SLR, with increases and decreases in the maximum, mean and minimum daily salinity concentrations from present-day conditions. This nonlinear response was a result of changes in the directions of the residual currents, which affected salinity transport.
Invasive crayfish (family Cambaridae) displace native crayfish species and alter aquatic habitat, community structure, and ecosystem function. We evaluated whether chemical control can be a reliable control agent for crayfish to ensure that shipments from fish hatcheries did not result in new infestations of invasive crayfish. A series of acute (≤1 h) toxicity tests were conducted to evaluate the toxicity of cypermethrin and pyrethrin to crayfish, freshwater mussels, and fish; chemical concentrations in test organisms; effectiveness of carbon-block filters to remove cypermethrin from test waters; and the cost of chemical control relative to extra handling of fish. Cypermethrin dosed at 75 μg/L for 15 min resulted in 100% mortality of adult white river crawfish Procambarus acutus and virile crayfish Faxonius virilis but did not cause >20% mortality in adult pondmussel Ligumia subrostrata, juvenile fatmucket Lampsilis siliquoidea, fingerling Bluegill Lepomis macrochirus, hybrid sunfish (Bluegill × Green Sunfish L. cyanellus), hybrid Striped Bass (White Bass Morone chrysops × Striped Bass M. saxatilis), yearling Paddlefish Polyodon spathula, or ready-to-eat Bluegill, hybrid sunfish, and Channel Catfish Ictalurus punctatus. Behavioral effects, such as loss of equilibrium or head shaking, were generally limited to 1 h postexposure. Mean concentrations of cypermethrin increased in fish fillets (4–26 μg/g) and whole fish (5–1,770 μg/g); therefore, regulations limiting harvest for up to 7 d following stocking may be required. A carbon-block filtration system was effective in reducing (<90%) cypermethrin concentrations and thus reducing potential effects to nontarget species in receiving waters. Extra handling of fish was more cost-effective for all fish tested except for Paddlefish, where the cost of chemical control was half that for extra handling. For all other fish tested, chemical control was 4–10 times more expensive than extra handling. Special use permits or chemical registration are needed before chemical control for crayfish could be routinely used at fish hatcheries.
Considerable effort has been made to link submarine slope failures to changes in local and global-scale environmental conditions, in order to assess landslide hazard probability. Here we provide the first radiocarbon dates of hemipelagic sediment overlying mass transport deposits and inferred failure surfaces of the Currituck Slide Complex (CSC), a prominent landslide scar on the U.S. mid-Atlantic continental slope. The dates, taken from both the upper and lower scars of the complex, constrain the age of the last major failure event to 13,835 and 16,020 years BP. Time correlation of the hemipelagic sediments across the landslide scar and proximal deposit suggests a single failure of both the upper and lower parts of this 160 km3 volume. A higher rate of sediment supply from the periglacial Appalachian Mountains and from glacial melt-water pulses, with an exposed continental shelf at that time, may have enlarged a shelf-edge delta at the site of the CSC, which may have facilitated or triggered failure. A smaller landslide at the southern edge of the complex with a less well-defined geomorphologic footprint is dated at 5500 BP and possibly represents the reshaping of the seafloor around the CSC triggered by low-frequency earthquakes on the nearby continental margin.
Freshwater is a vital natural resource. New York is a water-rich State; however, even here, the economical use of water resources is needed to ensure there is enough water of adequate quality for human and ecological needs—now and into the future. Nowhere in New York is this more evident than on Long Island where public-water supply is obtained from the sole-source aquifers directly beneath the 3 million people that live there. The U.S. Geological Survey works in partnership with the Nassau County Department of Public Works and Department of Health to monitor streamflow, groundwater, water quality, and water use.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20233024","usgsCitation":"Breault, R.F., Masterson, J.P., Busciolano, R., and Fisher, I., 2023, A century of hydrologic data collection prepares western Long Island for current and future water-resources challenges (ver. 1.1, July 2023): U.S. Geological Survey Fact Sheet 2023–3024, 4 p., https://doi.org/10.3133/fs20233024.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-145029","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":419071,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2023/3024/versionHist.txt","size":"2.88 KB","linkFileType":{"id":2,"text":"txt"}},{"id":419068,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20233024/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2023-3024"},{"id":418370,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2023/3024/coverthb3.jpg"},{"id":499688,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114776.htm","linkFileType":{"id":5,"text":"html"}},{"id":419070,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2023/3024/fs20233024.XML"},{"id":419069,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2023/3024/images/"},{"id":419067,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2023/3024/fs20233024.pdf","text":"Report","size":"4.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2023-3024"}],"country":"United States","state":"New York","otherGeospatial":"western Long Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.47830294208853,\n 40.943716469005324\n ],\n [\n -73.78304279806949,\n 40.943716469005324\n ],\n [\n -73.78304279806949,\n 40.52975156287121\n ],\n [\n -73.47830294208853,\n 40.52975156287121\n ],\n [\n -73.47830294208853,\n 40.943716469005324\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0: June 2023; Version 1.1: July 2023","contact":"Director, New York Water Science Center
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This report describes status and trends in watershed condition across the Northwest Forest Plan (NWFP) area over the first 25 years since its inception in 1994. The program charged with this task is the Aquatic and Riparian Effectiveness Monitoring Program (AREMP), which has assembled information from field data collection, spatial datasets, and a host of landscape models to evaluate the status and trends in aquatic resources in streams and watersheds. Field data included hydrologic measurements (stream wetted widths and temperatures), geomorphic responses (instream wood and sediment), and biological responses (macroinvertebrates and aquatic organism passage). Novel statistical models were used to estimate trends in these measured responses. A suite of complementary modeled results was also employed to describe hydrometeorological drivers (e.g., drought indices and stream discharge), forest cover (upslope and riparian vegetation), and geomorphic conditions (e.g., road-related estimates of chronic and shallow landslide sediment delivery risk). Collectively, information on these responses allowed us to rigorously evaluate instream responses and hypothesize watershed drivers of those responses across the NWFP area and over time. The majority of responses we observed indicated widespread and incremental improvements from active management of forests, forest roads, and road-stream crossings as envisioned by the aquatic conservation strategy of the NWFP. Additionally, many of the responses we observed were consistent with those expected under the influences of changing climates in the Pacific Northwest. Ultimately, the long-term, broad-scale information provided by AREMP is a critical foundation for evaluating the effectiveness of federal land management and the effects of changing climates on water resources that sustain the Pacific Northwest’s human and natural landscapes.
","language":"English","publisher":"U.S. Department of Agriculture, Forest Service","doi":"10.2737/PNW-GTR-1010","usgsCitation":"Dunham, J., Hirsch, C., Gordon, S., Flitcroft, R.L., Chelgren, N., Snyder, M.N., Hockman-Wert, D.P., Reeves, G.H., Andersen, H.V., Anderson, S.K., Battaglin, W., Black, T.A., Brown, J., Claeson, S., Hay, L., Heaston, E.D., Luce, C., Nelson, N., Penn, C., and Raggon, M., 2023, Northwest Forest Plan — The first 25 years (1994–2018): Watershed condition status and trends: Technical Report PNW-GTR-1010, 165 p., https://doi.org/10.2737/PNW-GTR-1010.","productDescription":"165 p.","numberOfPages":"184","ipdsId":"IP-133075","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":443056,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index 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0000-0002-3949-391X","orcid":"https://orcid.org/0000-0002-3949-391X","contributorId":236919,"corporation":false,"usgs":false,"family":"Heaston","given":"Emily","email":"","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":false,"id":875471,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Luce, Charles H.","contributorId":245593,"corporation":false,"usgs":false,"family":"Luce","given":"Charles H.","affiliations":[{"id":40027,"text":"United States Forest Service","active":true,"usgs":false}],"preferred":false,"id":875472,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Nelson, Nathan","contributorId":310359,"corporation":false,"usgs":false,"family":"Nelson","given":"Nathan","email":"","affiliations":[],"preferred":false,"id":875473,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Penn, Colin 0000-0002-5195-2744","orcid":"https://orcid.org/0000-0002-5195-2744","contributorId":310361,"corporation":false,"usgs":true,"family":"Penn","given":"Colin","affiliations":[],"preferred":false,"id":875474,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Raggon, Mark","contributorId":310363,"corporation":false,"usgs":false,"family":"Raggon","given":"Mark","affiliations":[],"preferred":false,"id":875475,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70244323,"text":"sim3504 - 2023 - Potentiometric surface map of the Southern High Plains aquifer in the Cannon Air Force Base area, Curry County, New Mexico, 2020","interactions":[],"lastModifiedDate":"2026-02-19T17:56:46.734655","indexId":"sim3504","displayToPublicDate":"2023-06-15T09:19:26","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3504","displayTitle":"Potentiometric Surface Map of the Southern High Plains Aquifer in the Cannon Air Force Base Area, Curry County, New Mexico, 2020","title":"Potentiometric surface map of the Southern High Plains aquifer in the Cannon Air Force Base area, Curry County, New Mexico, 2020","docAbstract":"Declining water levels and the potential impact on water resources on and around Cannon Air Force Base (AFB), New Mexico, has necessitated an up-to-date review of the potentiometric surface to evaluate the availability of water resources for future use. Analysis of groundwater-flow directions and hydraulic gradients can provide an understanding of depletion by heavy groundwater pumping and recharge through playa lakes, as well as the relationship between the groundwater levels and underlying geology. The objectives of this study, conducted by the U.S. Geological Survey in cooperation with the U.S. Air Force Civil Engineer Center, are to assist Cannon AFB in understanding and interpreting current and local hydrologic conditions and to evaluate groundwater-level change from 2015 to 2020 using new and historical data. A groundwater potentiometric surface contour map was constructed to better understand the Southern High Plains aquifer around Cannon AFB and to show the altitude of the water-table surface and groundwater-flow patterns. Four hydrographs were created from periodic measurements of groundwater levels in wells on and around Cannon AFB to provide information about historical groundwater-level changes and visualize trends from the water-level records. The long-term trend present in all four hydrographs is a steady decline in groundwater levels, with some areas declining faster than others. The groundwater-level change map presented in this study provides a visual representation of the change in groundwater level from the winter 2015 to winter 2020 measuring events. Results show that among corresponding wells measured in 2015 and 2020, 50.7 percent indicated a decline in water levels, 29.9 percent indicated neutral water levels, and 19.4 percent indicated a rise in water levels. The region to the north of the groundwater trough on Cannon AFB contained most of the groundwater-level rises, whereas the regions located near the trough and just west of Clovis, N. Mex., contained most of the declines. These results suggest that continued monitoring of declining groundwater levels in the area would provide valuable decision-support information for assessing the sustainability of this water resource.
Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113
The Deepwater Horizon Open Ocean Trustee Implementation Group (OO TIG) released a Final Open Ocean Restoration Plan 2 in 2019, which included a project titled Developing a Gulf-wide Comprehensive Plan for In-water Sea Turtle Data Collection. This document, A Comprehensive Plan for In-water Sea Turtle Data Collection in the US Gulf of Mexico (Plan), is the culmination of that OO TIG project. This Plan serves as the OO TIG project’s technical report as well as a framework for a biologically and statistically-sound plan to support coordinated in-water sea turtle data collection in the United States (US) Gulf of Mexico (GoM) to determine sea turtle abundance and population trends.
The purpose of this Plan is to act as a guide for collecting biologically and statistically robust, in-water sea turtle data in a comprehensive, coordinated, and standardized fashion in the US GoM. Several sea turtle in-water monitoring efforts are underway in the GoM; however, additional coordination and standardization of these efforts will benefit current restoration and recovery objectives. These efforts will aid in restoration project design, assess long-term effectiveness of restoration activities, and create abundance and distribution baselines across the GoM. This Plan provides guidance for researchers investigating sea turtle abundance and demographic questions, as well as for management agencies and restoration planners.
A Steering Committee (SC) was assembled to develop this Plan and to recommend a coordinated approach to the formulation of an improved understanding of sea turtle population baselines in the GoM, from which determination of large-scale population changes, effects of specific threats (e.g., oil spills, anthropogenic hazards), and effects of changes in ocean conditions (e.g., climate change) can later be evaluated. In crafting this guidance, the SC considered species distribution and life history characteristics, spatial and logistical considerations, level of effort required to detect trends, methods available and the pros and cons of each, associated assumptions and biases with suggested monitoring methods, and standardization of data collection.
Given the current level of data available, the SC has recommended species monitoring in two main phases in neritic and oceanic waters, with additional recommended sampling for surface pelagic drift communities.
The two phases in this Plan focus on 1) monitoring a limited number of sites in the first 5 to 8 years, followed by 2) a refined monitoring design. To support implementation of this Plan, the SC also considered broader programmatic needs, including supplemental data collection, program and data management, potential international partnerships, program expansion, and applications including future technology.
","language":"English","publisher":"National Oceanic and Atmospheric Administration","usgsCitation":"NOAA, Department of the Interior, Hart, K., Plotkin, P.T., Sasso, C., and Witherington, B.E., 2023, A comprehensive plan for in-water sea turtle data collection in the US Gulf of Mexico, v, 69 p.","productDescription":"v, 69 p.","ipdsId":"IP-152105","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":418360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418340,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.gulfspillrestoration.noaa.gov/sites/default/files/In-Water%20Sea%20Turtle%20Plan_FINAL_v2.pdf"}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -86.5264253558096,\n 30.24489967358521\n ],\n [\n -86.64298031887166,\n 30.53597189734414\n ],\n [\n -88.10641276491391,\n 30.749707588041076\n ],\n [\n -89.79330787057165,\n 30.154537825734877\n ],\n [\n -90.08670236321969,\n 29.96433178516294\n ],\n [\n -90.79587522647664,\n 29.472155439209743\n ],\n [\n -91.18028281506544,\n 29.819820106118726\n ],\n [\n -91.98695954730219,\n 30.005352165065304\n ],\n [\n -93.39181791789512,\n 30.19566964652458\n ],\n [\n -95.05441013086163,\n 29.88977578604954\n ],\n [\n -96.86686746427104,\n 28.69085626965058\n ],\n [\n -97.70099252595101,\n 27.766320123817778\n ],\n [\n -97.87263263903903,\n 27.175400696917563\n ],\n [\n -97.38684906161815,\n 25.941789648432064\n ],\n [\n -93.94956884192511,\n 25.988756403609997\n ],\n [\n -87.10787230454817,\n 26.888051400543716\n ],\n [\n -85.9227099016574,\n 29.639041703135902\n ],\n [\n -86.5264253558096,\n 30.24489967358521\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"NOAA","contributorId":257934,"corporation":true,"usgs":false,"organization":"NOAA","id":876026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Department of the Interior","contributorId":128058,"corporation":true,"usgs":false,"organization":"Department of the Interior","id":876027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":222407,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":875942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plotkin, Pamela T.","contributorId":200818,"corporation":false,"usgs":false,"family":"Plotkin","given":"Pamela","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":876028,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sasso, Christopher","contributorId":209797,"corporation":false,"usgs":false,"family":"Sasso","given":"Christopher","affiliations":[{"id":37992,"text":"NOAA, National Marine Fisheries Service, Southeast Fisheries Science Center, Miami, FL, USA 33149","active":true,"usgs":false}],"preferred":false,"id":876029,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Witherington, Blair E.","contributorId":60117,"corporation":false,"usgs":true,"family":"Witherington","given":"Blair","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":876030,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70245111,"text":"70245111 - 2023 - Prevailing impacts of river management on microplastic transport in contrasting US streams: Rethinking global microplastic flux estimations","interactions":[],"lastModifiedDate":"2023-06-15T13:36:24.536766","indexId":"70245111","displayToPublicDate":"2023-06-15T08:31:17","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Prevailing impacts of river management on microplastic transport in contrasting US streams: Rethinking global microplastic flux estimations","docAbstract":"While microplastic inputs into rivers are assumed to be correlated with anthropogenic activities and to accumulate towards the sea, the impacts of water management on downstream microplastic transport are largely unexplored. A comparative study of microplastic abundance in Boulder Creek (BC), and its less urbanized tributary South Boulder Creek (SBC), (Colorado USA), characterized the downstream evolution of microplastics in surface water and sediments, evaluating the effects of urbanization and flow diversions on the up-to-downstream profiles of microplastic concentrations and loads. Water and sediment samples were collected from 21 locations along both rivers and microplastic properties determined by fluorescence microscopy and Raman spectroscopy. The degree of catchment urbanization affected microplastic patterns, as evidenced by greater water and sediment concentrations and loads in BC than the less densely populated SBC, which is consistent with the differences in the degree of urbanization between both catchments. Microplastic removal through flow diversions was quantified, showing that water diversions removed over 500 microplastic particles per second from the river, and caused stepwise reductions of downstream loads at diversion points. This redistribution of microplastics back into the catchment should be considered in large scale models quantifying plastic fate and transport to the oceans.
","language":"English","publisher":"Elsevier","doi":"10.1016/J.WATRES.2023.120112","usgsCitation":"Kukkola, A., Runkel, R.L., Schneidewind, U., Murphy, S.F., Kelleher, L., Sambrook Smith, G., Nel, H.A., Lynch, I., and Krause, S., 2023, Prevailing impacts of river management on microplastic transport in contrasting US streams: Rethinking global microplastic flux estimations: Water Research, v. 240, 120112, 10 p., https://doi.org/10.1016/J.WATRES.2023.120112.","productDescription":"120112, 10 p.","ipdsId":"IP-147093","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":443073,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.watres.2023.120112","text":"Publisher Index Page"},{"id":418126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Boulder","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.1504297135603,\n 40.115588476293226\n ],\n [\n -105.63031730072807,\n 40.115588476293226\n ],\n [\n -105.63031730072807,\n 39.81898339885757\n ],\n [\n -105.1504297135603,\n 39.81898339885757\n ],\n [\n -105.1504297135603,\n 40.115588476293226\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"240","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kukkola, Anna","contributorId":310394,"corporation":false,"usgs":false,"family":"Kukkola","given":"Anna","email":"","affiliations":[{"id":7157,"text":"University of Birmingham","active":true,"usgs":false}],"preferred":false,"id":875534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":875535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schneidewind, Uwe","contributorId":310395,"corporation":false,"usgs":false,"family":"Schneidewind","given":"Uwe","email":"","affiliations":[{"id":7157,"text":"University of Birmingham","active":true,"usgs":false}],"preferred":false,"id":875536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":37277,"text":"WMA - 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2023 - Reconnaissance survey for potential energy storage and carbon dioxide storage resources of petroleum reservoirs in western Europe","interactions":[],"lastModifiedDate":"2023-07-11T16:10:22.582031","indexId":"70245097","displayToPublicDate":"2023-06-15T07:57:58","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Reconnaissance survey for potential energy storage and carbon dioxide storage resources of petroleum reservoirs in western Europe","docAbstract":"Energy producers and utilities use oil and gas reservoirs for gas storage to meet peak seasonal demand or to supplement intermittent energy production. These reservoirs are also suitable for the long-term storage of carbon dioxide (CO2), a greenhouse gas. This study reports on a reconnaissance analysis of the potential magnitude of storage resources in 9424 known oil and gas reservoirs from 24 countries within highly industrialized western Europe. To standardize the storage resources of the oil and gas reservoirs, their volumetric capacity is expressed in terms of metric tons (mass) of CO2. Estimates of recoverable oil and gas at the surface are converted to subsurface volumes and then converted to the equivalent mass of CO2 at reservoir conditions. The results indicate 36.7 gigatons of CO2 could be stored, with oil reservoirs accounting for 32% of that total and natural gas reservoirs comprising the remaining 68%. About four-fifths of the reservoir storage resource is offshore, with about three-fourths of that offshore resource at water depths of 200 m or less. Most countries do not have the reservoir storage resources to store 15 years of CO2 at 2017 emission levels. With few exceptions the bulk of the storage is offshore for countries that do have at least 15 years of storage. The expansion of natural gas storage for strategic purposes in abandoned onshore gas reservoirs is not expected to seriously impact CO2 storage. The contribution of this analysis is the description of the spatial distribution of potential storage and physical accessibility.
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Center","active":true,"usgs":true}],"preferred":true,"id":875448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Philip A. 0000-0002-0863-7431","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":206294,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":875449,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70245613,"text":"70245613 - 2023 - Broadening the perspectives of sedimentary organic matter analysis to understand Earth system response to change","interactions":[],"lastModifiedDate":"2023-06-26T12:23:24.242374","indexId":"70245613","displayToPublicDate":"2023-06-15T07:20:17","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Broadening the perspectives of sedimentary organic matter analysis to understand Earth system response to change","docAbstract":"This paper broadens the description of sedimentary organic matter from the conventional use of coal petrography to include palynological and geochemical sedimentary organic matter. Palynological sedimentary organic matter includes all chemically resistant organic microfossils, such as pollen and spores, dinocysts, microforaminifera (chitinoid-like linings of foraminifera), microscopic algae, charcoal, palynodebris, acritarchs, chitinozoans, and scolecodonts. Geochemical sedimentary organic matter includes organic biomarkers, lipids, and photosynthetic pigments. We provide examples of the use of palynological and geochemical analysis of sedimentary organic matter to understand patterns and impacts of changing climate, fire regimes, hydrologic extremes, water quality, and land change on terrestrial and marine systems through geologic time to provide a long-term perspective to evaluate anthropogenic impacts on the Earth as well as to support forensics investigations.
Logging-while-drilling (LWD) and coring data were acquired in Areas A, B, C and E during the National Gas Hydrate Program Expedition 02 (NGHP-02). At Sites NGHP-02-16, −17, −20, −23 and −24 of Area B in the Indian Krishna-Godavari Basin, the gas hydrate-bearing sand-rich reservoirs directly in contact with an underlying water-saturated sediment were revealed near the seismic-inferred bottom simulating reflector (BSR) along a large anticlinal structure. Lithofacies analysis of cores show that the lower gas hydrate-bearing reservoir section at these sites is an interbedded unit with thin fine-sand layers alternating with clay-rich layers. We reanalyzed the LWD data including resistivity, compressional-wave and shear-wave acoustic velocities to assess and compare the spatial variation of sand-hosted gas hydrate and possible related free-gas accumulations. The presence of free gas-bearing sediments in direct contact with gas hydrate-bearing sediments was confirmed at Sites NGHP-02-20 and −24 along the northeastern flank of the anticline. The sand-rich reservoirs associated with the Area B anticlinal feature reveal different pore-filling constituents and variable boundary conditions, including gas hydrate/water contacts and gas hydrate/free gas contacts. We infer that the sedimentary depositional history at Sites NGHP-02-20 and −24, may have resulted in an upward shift of the base of gas hydrate stability zone, that could have led to in situ gas hydrate dissociation and the accumulation of free gas and coexistence interval below the log-inferred gas hydrate-bearing reservoir sections. This study demonstrates that reservoir heterogeneity and fluid migration were major factors affecting the distribution of gas hydrate and free gas in the identified sand-rich reservoirs.
Monitoring species to better understand their status, ecology, and management needs is a major expense for agencies tasked with biodiversity conservation. Community science data have the potential to improve monitoring for minimal cost, given appropriate analytical frameworks. We describe a framework for integrating data from the eBird community science platform with agency-collected monitoring data using a multistate occupancy model. Our model accounts for the structural differences across datasets and allows for estimation of both occupancy and breeding probabilities. The framework was applied to Common Loons (Gavia immer) in Washington State. A total of 766 sites had observation effort, of which 713 sites had only eBird effort, 26 sites had only Washington Department of Fish and Wildlife (WDFW) effort, and 27 sites had both. We predicted that the probability of occupancy was only 0.07 (95% Bayesian credible interval, BCI = 0.02–0.51) at the 2324 sites in our sampling frame, though the probability that Common Loons were breeding at occupied sites was 0.95 (95% BCI = 0.71–1.00). We found that probability of occupancy was positively related to waterbody size (probability of a positive effect = 0.88) and negatively related to an index of human influence (probability of a negative effect = 0.94). We found that probability of breeding at occupied sites was positively related to tree canopy cover (0.86), negatively related to elevation (0.99), and negatively related to barren, scrub/shrub, and herbaceous land cover (0.98). We found that state agency biologists were 16 times more likely to detect breeding Common Loons at a site than were eBird users (0.94, 95% BCI = 0.78–0.99 for agency biologists vs. 0.08, 95% BCI = 0.06–0.10 for eBird users). However, the amount of effort expended by eBird users meant that they confirmed Common Loons at 94 sites while agency biologists confirmed them at just 24 sites, although evidence of reproduction was only contributed by agency biologists. Our results provide a better understanding of the distribution of Common Loons in Washington, while further demonstrating that community science data can be a valuable complement to agency-collected data, if appropriate frameworks are developed to integrate these data sources.
Science-based conservation of riverine fishes can be best targeted with specific information about spatial-ecological controls on the community, including anthropogenic stressors. Because anthropogenic stressors can originate at multiple spatial scales, we investigated the influence of natural and anthropogenic variables summarized within the reach, valley, and catchment on fish community composition along four river mainstems in Ontario, Canada. We used Redundancy Analyses (RDA) to explore models with multi- and single-scale variables on fish community composition. We used partial RDAs to differentiate the relative effects of variable types in multiscale models and to determine if spatial variables explained additional variation in fish community composition. Catchment variables accounted for the majority of explained variation in fish community composition in three of the four rivers, but instream habitat variables accounted for considerable variability in fish community composition in the two rivers that are highly fragmented by dams or naturally occurring rapids. Natural and human-derived fragmentation in rivers may reduce the influence of catchment controls, disrupt longitudinal gradients, and increase the influence of local instream habitat. Environmental variables that explained fish distribution had longitudinal or patchy spatial pattern within rivers, but spatial variables representing impediments to fish dispersal and proximity to receiving waterbodies failed to explain additional variation in fish community composition.
","language":"English","publisher":"MDPI","doi":"10.3390/w15122213","usgsCitation":"Sparks-Jackson, B.L., Esselman, P., Wilson, C.C., and Carl, L.M., 2023, Using multiscale environmental and spatial analyses to understand natural and anthropogenic influence on fish communities in four Canadian rivers: Water, v. 15, no. 12, 2213, 25 p., https://doi.org/10.3390/w15122213.","productDescription":"2213, 25 p.","ipdsId":"IP-125420","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true}],"links":[{"id":443093,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w15122213","text":"Publisher Index Page"},{"id":418089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Ontario","otherGeospatial":"Ganaraska River, Grand River, Petawawa River, St. Lawrence River watershed, Trent River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.38795032719975,\n 43.6259084589432\n ],\n [\n -80.7097338741388,\n 43.6259084589432\n ],\n [\n -80.7097338741388,\n 42.91759095777866\n ],\n [\n -79.38795032719975,\n 42.91759095777866\n ],\n [\n -79.38795032719975,\n 43.6259084589432\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.79725461639248,\n 44.28057044638072\n ],\n [\n -76.79725461639248,\n 45.20435320940845\n ],\n [\n -78.6794743872343,\n 45.20435320940845\n ],\n [\n -78.6794743872343,\n 44.28057044638072\n ],\n [\n -76.79725461639248,\n 44.28057044638072\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.90765267935988,\n 46.09947863532636\n ],\n [\n -77.90765267935988,\n 45.74640546676605\n ],\n [\n -76.96654279393933,\n 45.74640546676605\n ],\n [\n -76.96654279393933,\n 46.09947863532636\n ],\n [\n -77.90765267935988,\n 46.09947863532636\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Sparks-Jackson, Beth L. 0000-0002-1726-1480","orcid":"https://orcid.org/0000-0002-1726-1480","contributorId":215005,"corporation":false,"usgs":true,"family":"Sparks-Jackson","given":"Beth","email":"","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":875389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":875390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Christopher C. 0000-0002-9528-0652","orcid":"https://orcid.org/0000-0002-9528-0652","contributorId":256696,"corporation":false,"usgs":false,"family":"Wilson","given":"Christopher","email":"","middleInitial":"C.","affiliations":[{"id":51832,"text":"Aquatic Biodiversity and Conservation Unit, Ontario Ministry of Natural Resources, Peterborough, ON, Canada","active":true,"usgs":false}],"preferred":false,"id":875391,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carl, Leon M. 0000-0001-6419-2214 lcarl@usgs.gov","orcid":"https://orcid.org/0000-0001-6419-2214","contributorId":256693,"corporation":false,"usgs":true,"family":"Carl","given":"Leon","email":"lcarl@usgs.gov","middleInitial":"M.","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":875392,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70257362,"text":"70257362 - 2023 - Fall migration, oceanic movement, and site residency patterns of eastern red bats (Lasiurus borealis) on the mid-Atlantic Coast","interactions":[],"lastModifiedDate":"2026-02-04T16:04:51.628052","indexId":"70257362","displayToPublicDate":"2023-06-14T09:41:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Fall migration, oceanic movement, and site residency patterns of eastern red bats (Lasiurus borealis) on the mid-Atlantic Coast","docAbstract":"Along the mid-Atlantic coast of the United States, eastern red bats (Lasiurus borealis) are present during fall mating and migration, though little is currently known about most aspects of bat migration. To reveal migration patterns, and understand drivers of over-water flight, we captured and radio-tagged 115 eastern red bats using novel technology, and subsequently tracked and described their movements throughout the region. We compared over-water flight movements to randomly generated patterns using a use-availability framework, and subsequently used a generalized linear mixed effects model to assess the relationship of over-water flight to atmospheric variables. We used hidden Markov models to assess daily activity patterns and site residency. Most bats with long-distance movements traveled in a southwesterly direction, however path vectors were often oriented interior toward the continental landmass rather than along the coastline. We observed that some bats transited wide sections of the Chesapeake and Delaware bays, confirming their ability to travel across large water bodies. This over-water flight typically occurred in the early hours of the night and during favorable flying conditions. If flight over large water bodies is a proxy for over-ocean flight, then collision risk at offshore wind turbines – a major source of migratory bat fatalities – may be linked nightly to warm temperatures that occur early in the fall season. Risk, then, may be somewhat predictable and manageable with mitigation options linking wind-energy operation to weather conditions and seasonality.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s40462-023-00398-x","usgsCitation":"True, M., Gorman, K.M., Taylor, H., Reynolds, R., and Ford, W., 2023, Fall migration, oceanic movement, and site residency patterns of eastern red bats (Lasiurus borealis) on the mid-Atlantic Coast: Movement Ecology, v. 11, no. 35, e35, 16 p., https://doi.org/10.1186/s40462-023-00398-x.","productDescription":"e35, 16 p.","ipdsId":"IP-150083","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":443096,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-023-00398-x","text":"Publisher Index Page"},{"id":433113,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey, Virginia","otherGeospatial":"mid-Atlantic 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\"}}]}","volume":"11","issue":"35","noUsgsAuthors":false,"publicationDate":"2023-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"True, Michael C.","contributorId":270631,"corporation":false,"usgs":false,"family":"True","given":"Michael C.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":910116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gorman, Katherine M.","contributorId":270924,"corporation":false,"usgs":false,"family":"Gorman","given":"Katherine","email":"","middleInitial":"M.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":910117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Hila","contributorId":270923,"corporation":false,"usgs":false,"family":"Taylor","given":"Hila","email":"","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":910118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reynolds, Richard J.","contributorId":348217,"corporation":false,"usgs":false,"family":"Reynolds","given":"Richard J.","affiliations":[{"id":83324,"text":"Virginia Dept. of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":910119,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":910120,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70244321,"text":"sir20235044 - 2023 - Nutrient and suspended-sediment concentrations, flux, and yields in the Galena River, Illinois, 2019–21","interactions":[],"lastModifiedDate":"2026-03-09T15:53:21.493548","indexId":"sir20235044","displayToPublicDate":"2023-06-14T09:22:52","publicationYear":"2023","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":"2023-5044","displayTitle":"Nutrient and Suspended-Sediment Concentrations, Flux, and Yields in the Galena River, Illinois, 2019–21","title":"Nutrient and suspended-sediment concentrations, flux, and yields in the Galena River, Illinois, 2019–21","docAbstract":"Two stations on the Galena River in Illinois were monitored for nitrogen, phosphorus, and suspended sediment from 2019 to 2021 to determine physiochemical properties and constituent concentrations, flux, and yields. This information could aide in the management and understanding of the Galena River and the contributions from the intervening 58-square-mile study area watershed. Constituent concentrations were characteristic for contemporary midwestern agricultural watersheds and did not display any notable high or low values. Concentrations of nitrogen were generally higher at the upstream station, whereas concentrations of phosphorus and suspended sediment were generally higher at the downstream station. Decreases in nutrient concentrations were observed at both stations during the study period, but there was no appreciable pattern in suspended-sediment concentrations. Constituent fluxes, particularly nitrogen, were higher at the downstream station, whereas fluxes of phosphorus and suspended sediment were higher at the upstream station during several high-flow events, indicating substantial contribution of particulate material upstream from the study area and potential sequestration within the study area reach of the Galena River. For all constituents, yields were typically higher at the upstream station during periods of increased streamflow and lower at the upstream station during periods of reduced streamflow. These data indicate that the constituent contributions are greater from within the study area than from the watershed upstream from the study area during periods of normal to low streamflow.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235044","collaboration":"Prepared in cooperation with the City of Galena, Illinois","usgsCitation":"Terrio, P.J., and Garcia, L.A., 2023, Nutrient and suspended-sediment concentrations, flux, and yields in the Galena River, Illinois, 2019–21: U.S. Geological Survey Scientific Investigations Report 2023–5044, 26 p., https://doi.org/10.3133/sir20235044.","productDescription":"Report: v, 26 p.; Dataset","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-146048","costCenters":[],"links":[{"id":500921,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114778.htm","linkFileType":{"id":5,"text":"html"}},{"id":418087,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235044/full"},{"id":418069,"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"},{"id":418068,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5044/images/"},{"id":418067,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5044/sir20235044.XML"},{"id":418066,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5044/sir20235044.pdf","text":"Report","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":418065,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5044/coverthb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Galena River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.5,\n 42.5\n ],\n [\n -90.5,\n 42.3\n ],\n [\n -90.20,\n 42.3\n ],\n [\n -90.20,\n 42.5\n ],\n [\n -90.5,\n 42.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
405 North Goodwin
Urbana, IL 61801
The effects of timber harvest on amphibians can be complex and persist for years postharvest, but overall they are poorly understood. We examined how timber harvest has impacted two pool-breeding species, Spotted Salamander (Ambystoma maculatum) and Wood Frog (Lithobates sylvaticus), across the Canaan Valley National Wildlife Refuge, West Virginia, USA. We surveyed Spotted Salamanders and Wood Frogs at 49 pools from 2004 to 2016. Pools in recently harvested tracts tended to be smaller and less likely to hold water than pools in unharvested tracts for the duration of the breeding period. For both species, mean egg mass abundance was lower in harvested tracts than in the unharvested tracts, and over time declined substantially for Wood Frogs. Similarly, occupancy rates were lower in harvested sites for the duration of the study for both species. Occupancy rates declined over time for both species across all sites; this decline was steeper for Wood Frogs in harvested sites. Our results show the importance of long-term landscape-level studies when evaluating the effects of habitat disturbance. Understanding how forest loss and degradation impact pool-breeding amphibians will help to develop better management targets and mitigate compounding factors of decline to promote survival of these species.
The Grand Canyon in northern Arizona is an international tourist destination, a home or sacred place to many Native Americans, and hosts some of the highest-grade uranium deposits in the United States. Although potential contamination of water resources by uranium from mining activities is a concern, other elements commonly associated with these uranium deposits may pose a greater risk to human populations in the area. This study presents an assessment of arsenic in groundwater in the Grand Canyon area. First, sampling results for arsenic are presented and areas with elevated arsenic concentrations are discussed. Potential pathways of groundwater contamination by arsenic from uranium mines are then discussed to elucidate situations and conditions under which elevated concentrations of arsenic might be expected to become mobilized from breccia-pipe uranium mining activities. Results for arsenic in groundwater in the study area were available for 652 samples collected from 230 sites. Arsenic concentrations in groundwater ranged from less than reporting limits in 60 samples to a maximum concentration of 875 μg/L at Pumpkin Spring. About 88% (202) of the sites sampled had a maximum arsenic concentration below the drinking water standard of 10 μg/L. Available data from near former or current breccia-pipe uranium mines in the area indicate limited evidence to-date of mining effects on elevated arsenic in groundwater, although slow groundwater flow paths in the region may result in extended times of decades or more for groundwater to reach discharge locations. Post-mining entry of groundwater into the shaft and underground mine workings, with subsequent transport of metal-enriched groundwater offsite, may be a potential pathway of groundwater arsenic contamination from mining, although concentrations would likely be attenuated by contact with sedimentary rock units and dilution with native groundwater along flow paths. Monitoring of perched groundwater at reclaimed mine sites post-reclamation could provide data on the effectiveness of clean-closure practices on protecting groundwater quality in the area.
Offutt Air Force Base, south of Omaha, Nebraska, experienced major flooding during the March 2019 flood event because of the proximity of the base to the confluence of the Missouri River and nearby tributaries, which exceeded flood stages. Postflood, standing water remained through much of the year, attracting waterfowl and other birds and posing a major safety risk to aircraft. The U.S. Geological Survey, in cooperation with the U.S. Air Force, began a study in 2020 to describe the hydrologic processes that affect the persistence of standing water on Offutt Air Force Base.
Existing site data, reviewed in concert with groundwater and surface-water elevation data collected for the study, indicate varying hydrologic responses between two areas of concern (AOCs), which can be linked to differences in subsurface geology and changes in flows of the Missouri River. An inundation map indicated that standing water would be present throughout Papillion Creek Ditch in AOC 1 and would extend upstream to AOC 2 during flow events greater than 771 cubic feet per second. A U.S. Army Corps of Engineers Hydrologic Engineering Center-River Analysis System model and a flow-duration analysis were used to infer that many of the surface-water drainage problems experienced in 2019 were the result of backwater conditions caused by higher streamflows in the Missouri River.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235053","collaboration":"Prepared in cooperation with the U.S. Air Force, Offutt Air Force Base","usgsCitation":"Hobza, C.M., and Strauch, K.R., 2023, Floodwater drainage assessment of Offutt Air Force Base, Nebraska, 2020–22: U.S. Geological Survey Scientific Investigations Report 2023–5053, 31 p., https://doi.org/10.3133/sir20235053.","productDescription":"Report: vii, 31 p.; Data Release; Dataset","numberOfPages":"44","onlineOnly":"Y","ipdsId":"IP-138559","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":418093,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235053/full"},{"id":417735,"rank":6,"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"},{"id":417734,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KYD1CX","text":"USGS data release","linkHelpText":"Water-surface and groundwater-level elevations on and near Offutt Air Force Base, Nebraska, summer 2020 and spring 2021"},{"id":417718,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5053/images"},{"id":417717,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5053/sir20235053.XML"},{"id":417707,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5053/coverthb1.jpg"},{"id":417713,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5053/sir20235053.pdf","text":"Report","size":"5.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5053"}],"country":"United States","state":"Nebraska","otherGeospatial":"Offutt Air Force Base","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.09742410665552,\n 41.18555144700602\n ],\n [\n -96.09742410665552,\n 41.06019915604605\n ],\n [\n -95.87125037103594,\n 41.06019915604605\n ],\n [\n -95.87125037103594,\n 41.18555144700602\n ],\n [\n -96.09742410665552,\n 41.18555144700602\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Nebraska Water Science Center
U.S. Geological Survey
5231 South 19th Street
Lincoln, NE 68512
This study is a continuation of a series of hydrogeologic appraisals that have been conducted since 1980, as part of a cooperative, long-term, detailed aquifer mapping program by the U.S. Geological Survey and the New York State Department of Environmental Conservation. These appraisals provide a foundation for wellhead protection programs, water-resource management and planning decisions, and groundwater remediation in upstate New York. The Owasco Inlet watershed drains north directly to Owasco Lake, one of New York’s Finger Lakes. The watershed is similar in form to other watersheds of the Finger Lakes region of New York State and is characterized by broad, smooth uplands punctuated by the 18-mile-long Owasco Inlet valley and the secondary valleys of Decker, Dresserville, and Hemlock Creeks. All these streams occupy “through valleys”—the valleys are continuous into adjacent watersheds such that watershed divides are high points within the valley bottoms, rather than in uplands.
Most glacial deposits in the watershed were deposited during the Valley Heads Readvance and subsequent retreat (with at least one minor readvance). Estimates are that the Valley Heads Readvance likely peaked in the Cayuga basin about 17,000 (calendar) years ago based on dates from western New York and the Mohawk Valley in east-central New York. It was the last major ice advance of the Pleistocene Epoch in this region. This readvance covered the entire Owasco watershed.
Valley Heads ice in the Owasco watershed was part of the Cayuga ice lobe, which flowed parallel to the Owasco Inlet valley as far south as Moravia, but which became progressively more eastward south of Locke, effectively raking across the valley from the west. The Owasco Inlet watershed drains north, like other Finger Lakes watersheds, and during deglaciation, northward meltwater drainage was largely blocked by the ice, which resulted in development of a series of regional proglacial lakes in which fine lacustrine sediments predominated. Lacustrine sediments constitute much of the Owasco Inlet valley fill, but it has been pointed out that there are no obvious outlet channels exiting the Owasco Inlet watershed, and it has been proposed that there was northward drainage of meltwater into the ice within the larger, neighboring Cayuga Trough. The lacustrine deposits in the Owasco Inlet valley are commonly underlain by thinner coarse-grained stratified deposits (subaqueous fans and eskers) of variable sorting and permeability. An exception occurs at Groton, N.Y., where retreating ice paused long enough for coarse-grained sediments to fill much of the valley. Smaller, higher elevation valleys have a wider variety of glacial valley-fill deposits, ranging from fine lacustrine sediments to sand and gravel to till.
Groundwater is the sole source of water supply in the area; glacial sand and gravel aquifers are the primary water source in the Owasco Inlet and Decker Creek valleys, and fractured bedrock aquifers typically supply domestic wells in the remaining valleys and upland areas.
Municipal supplies tap a variety of aquifer types in the Owasco Inlet valley and nearby uplands. The hamlet of Locke taps the extensive confined aquifer beneath fine-grained lacustrine deposits in the valley. The Village of Moravia taps a semiconfined aquifer that overlies proglacial lake deposits and is partly confined by overlying recent lake deposits and alluvium. Withdrawals from this aquifer may also induce water from the Owasco Inlet into the aquifer. The Village of Groton draws from two aquifers: (1) a thin upland unconfined sand and gravel aquifer tapped by an infiltration gallery and (2) the local unconfined or semiconfined aquifer in the Owasco Inlet valley. Another aquifer with potential for municipal supply is the unconfined aquifer in the Decker Creek valley near Wilson Corners. The confined aquifer in the lower Dresserville Creek valley may have some water-resource potential, but it is largely untested.
Unconfined aquifers are the most susceptible to contamination from activities at land surface directly above the aquifer because precipitation and subsequent recharge can transport contaminants directly to the water table. Adjacent upland areas can also contribute contaminants. Confined aquifers are less susceptible to contamination from overlying land surface areas because confining units largely prevent downward movement of water. Recharge occurs elsewhere at unconfined upvalley locations and along valley walls where alluvial fans, ice-contact deposits, or stream incision into the valley wall may provide pathways for downward movement of groundwater.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235031","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Heisig, P.M., 2023, Hydrogeology of sand and gravel aquifers in the Owasco Inlet watershed, Cayuga and Tompkins Counties, New York: U.S. Geological Survey Scientific Investigations Report 2023–5031, 32 p., 1 pl., https://doi.org/10.3133/sir20235031.","productDescription":"Report: vii, 32 p.; 2 Data Releases; 1 Plate: 24.00 × 36.00 inches","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-091306","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":417343,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GI61NV","text":"USGS data release","linkHelpText":"Horizontal-to-vertical spectral ratio (HVSR) soundings and depth-to-bedrock data for the Owasco Inlet watershed, Cayuga and Tompkins Counties, New York 2016"},{"id":500893,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114774.htm","linkFileType":{"id":5,"text":"html"}},{"id":417339,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235031/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5031"},{"id":417338,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5031/sir20235031.pdf","text":"Report","size":"15.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5031"},{"id":417331,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5031/coverthb.jpg"},{"id":417344,"rank":8,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2023/5031/sir20235031_fig04.pdf","text":"Figure 4","size":"1.03 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Longitudinal hydrogeologic sections A1–A1’ and A2–A2’, spanning the length of the Owasco Inlet valley, Tompkins and Cayuga Counties, New York"},{"id":417345,"rank":9,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2023/5031/sir20235031_plate01.pdf","text":"Plate 1","size":"368 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Hydrogeology of the Owasco Inlet Watershed, Cayuga and Tompkins Counties, New York [layered pdf; to toggle layers, download the file (right-click and select \"Save link as...\") and open it with Adobe Acrobat Reader]"},{"id":417342,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9E6ESC2","text":"USGS data release","linkHelpText":"Geospatial datasets of the glacial geology and hydrogeology of the Owasco Inlet Watershed, Cayuga and Tompkins Counties, New York"},{"id":417341,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5031/images/"},{"id":417340,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5031/sir20235031.XML"}],"country":"United States","state":"New York","county":"Cayuga County, Tompkins County","otherGeospatial":"Owasco Inlet Watershed","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-76.6178,43.416],[-76.6044,43.2541],[-76.4831,43.2582],[-76.4808,43.2273],[-76.4754,43.1591],[-76.4734,43.1496],[-76.4759,43.1473],[-76.4803,43.1454],[-76.484,43.1445],[-76.4852,43.1422],[-76.4852,43.139],[-76.48,43.1277],[-76.4754,43.1164],[-76.4741,43.1073],[-76.4765,43.1045],[-76.4809,43.1054],[-76.486,43.1058],[-76.4929,43.1067],[-76.4972,43.1039],[-76.4991,43.1003],[-76.4997,43.1002],[-76.4994,43.0766],[-76.4927,43.0052],[-76.4657,43.0059],[-76.4644,43],[-76.4585,42.9391],[-76.4498,42.8464],[-76.3554,42.8502],[-76.2968,42.8079],[-76.2784,42.7857],[-76.2752,42.7803],[-76.2745,42.7712],[-76.266,42.6221],[-76.2549,42.4082],[-76.2947,42.4075],[-76.2957,42.3866],[-76.2944,42.3816],[-76.2764,42.3794],[-76.2433,42.3664],[-76.2402,42.3624],[-76.2382,42.3542],[-76.2425,42.3446],[-76.2473,42.336],[-76.2497,42.3241],[-76.2514,42.3073],[-76.25,42.2964],[-76.2891,42.2962],[-76.2898,42.308],[-76.35,42.3085],[-76.3507,42.3181],[-76.4153,42.3194],[-76.417,42.2631],[-76.4734,42.2631],[-76.4731,42.2808],[-76.5382,42.2817],[-76.6194,42.2824],[-76.692,42.284],[-76.6932,42.3158],[-76.6907,42.3154],[-76.6907,42.3177],[-76.6898,42.374],[-76.6861,42.375],[-76.6861,42.3763],[-76.6904,42.4472],[-76.6935,42.5144],[-76.6959,42.5466],[-76.5857,42.5503],[-76.6071,42.5624],[-76.6184,42.5705],[-76.6412,42.5912],[-76.6571,42.6097],[-76.6667,42.6242],[-76.6842,42.6667],[-76.6894,42.6762],[-76.6932,42.6812],[-76.7153,42.6983],[-76.7268,42.7122],[-76.7327,42.7263],[-76.7391,42.7703],[-76.7358,42.7981],[-76.7334,42.8022],[-76.7219,42.8209],[-76.7177,42.8305],[-76.7165,42.836],[-76.7179,42.8419],[-76.7198,42.8483],[-76.7213,42.8573],[-76.7215,42.871],[-76.7241,42.8778],[-76.737,42.899],[-76.7396,42.9049],[-76.7397,42.9117],[-76.7376,42.934],[-76.7383,42.934],[-76.7341,42.9454],[-76.735,42.9604],[-76.7314,42.9723],[-76.7237,42.9942],[-76.72,43.001],[-76.7183,43.0083],[-76.7134,43.0152],[-76.711,43.0193],[-76.7142,43.0247],[-76.7156,43.0334],[-76.7166,43.0516],[-76.7155,43.0629],[-76.7155,43.0652],[-76.7118,43.0684],[-76.7075,43.0707],[-76.7038,43.0735],[-76.7019,43.0758],[-76.7031,43.1067],[-76.7073,43.1658],[-76.7205,43.3454],[-76.7111,43.3464],[-76.7073,43.3464],[-76.7073,43.3442],[-76.711,43.3419],[-76.7103,43.3364],[-76.7102,43.3328],[-76.7108,43.3305],[-76.712,43.3287],[-76.7139,43.3286],[-76.7158,43.3286],[-76.7132,43.3236],[-76.7118,43.3177],[-76.7086,43.3159],[-76.7049,43.3187],[-76.7044,43.3265],[-76.7032,43.3296],[-76.6976,43.3306],[-76.6976,43.3324],[-76.6989,43.3338],[-76.7008,43.3356],[-76.7003,43.3415],[-76.6991,43.3438],[-76.6872,43.3494],[-76.6772,43.3558],[-76.668,43.3664],[-76.6501,43.3888],[-76.639,43.4035],[-76.6353,43.4067],[-76.6296,43.4113],[-76.6178,43.416]]]},\"properties\":{\"name\":\"Cayuga\",\"state\":\"NY\"}}]}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349