The Colorado River basin (CRB) supplies water to approximately 40 million people and is essential to hydropower generation, agriculture, and industry. In this study, a monthly water balance model is used to compute hydroclimatic water balance components (i.e., potential evapotranspiration, actual evapotranspiration, and runoff) for the period 1901–2014 across the entire CRB. The time series of monthly runoff is aggregated to compute water-year runoff and then used to identify drought periods in the basin. For the 1901–2014 period, eight basinwide drought periods were identified. The driest drought period spanned years 1901–04, whereas the longest drought period occurred during 1943–56. The eight droughts were primarily driven by winter precipitation deficits rather than warm temperature anomalies. In addition, an analysis of prehistoric drought for the CRB—computed using tree-ring-based reconstructions of the Palmer drought severity index—indicates that during some past centuries drought frequency was higher than during the twentieth century and that some centuries experienced droughts that were much longer than those during the twentieth century. More frequent or longer droughts than those that occurred during the twentieth century, combined with continued warming associated with climate change, may lead to substantial future water deficits in the CRB.
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2020 - Managing climate refugia for freshwater fishes under an expanding human footprint","interactions":[],"lastModifiedDate":"2020-08-06T18:47:55.209802","indexId":"70211651","displayToPublicDate":"2020-06-01T08:42:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5993,"text":"Frontiers in Ecology and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Managing climate refugia for freshwater fishes under an expanding human footprint","docAbstract":"Within the context of climate adaptation, the concept of climate refugia has emerged as a framework for addressing future threats to freshwater fish populations. We evaluated recent climate‐refugia management associated with water use and landscape modification by comparing efforts in the US states of Oregon and Massachusetts, for which there are contrasting resource use patterns. Using these examples, we discuss tools and principles that can be applied more broadly. Although many early efforts to identify climate refugia have focused on water temperature, substantial gains in evaluating other factors and processes regulating climate refugia (eg stream flow, groundwater availability) are facilitating refined mapping of refugia and assessment of their ecological value. Major challenges remain for incorporating climate refugia into water‐quality standards, evaluating trade‐offs among policy options, addressing multiple species’ needs, and planning for uncertainty. However, with a procedurally transparent and conceptually sound framework to build upon, recent efforts have revealed a promising path forward.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.2206","usgsCitation":"Ebersole, J.L., Quinones, R.M., Clements, S., and Letcher, B., 2020, Managing climate refugia for freshwater fishes under an expanding human footprint: Frontiers in Ecology and Environment, v. 18, no. 5, p. 271-280, https://doi.org/10.1002/fee.2206.","productDescription":"10 p.","startPage":"271","endPage":"280","ipdsId":"IP-106631","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":456556,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.2206","text":"Publisher Index Page"},{"id":377080,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts, 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\"}}]}","volume":"18","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ebersole, Joseph L.","contributorId":146938,"corporation":false,"usgs":false,"family":"Ebersole","given":"Joseph","email":"","middleInitial":"L.","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":794934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quinones, Rebecca M.","contributorId":172968,"corporation":false,"usgs":false,"family":"Quinones","given":"Rebecca","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":794935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clements, Shaun","contributorId":171685,"corporation":false,"usgs":false,"family":"Clements","given":"Shaun","email":"","affiliations":[],"preferred":false,"id":794936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Letcher, Benjamin 0000-0003-0191-5678 bletcher@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":169305,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","email":"bletcher@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":794937,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70212930,"text":"70212930 - 2020 - U-Pb Zircon ages from bedrock samples collected in the Tanacross D-1, and parts of the D-2, C-1, and C-2 quadrangles, Alaska","interactions":[],"lastModifiedDate":"2020-09-02T13:42:18.190445","indexId":"70212930","displayToPublicDate":"2020-06-01T08:37:06","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":6482,"text":"Preliminary Interpretive Reports","active":true,"publicationSubtype":{"id":4}},"seriesNumber":"2020-2","title":"U-Pb Zircon ages from bedrock samples collected in the Tanacross D-1, and parts of the D-2, C-1, and C-2 quadrangles, Alaska","docAbstract":"This Alaska Division of Geological & Geophysical Surveys (DGGS) Preliminary Interpretive Report presents U-Pb ages of zircons from 14 sedimentary, metamorphic, and igneous samples collected during 2017 and 2018 field investigations in the northeastern Tanacross Quadrangle, Alaska. The DGGS Northeast Tanacross project is a part of multi-year effort to investigate the geology and mineral-resource potential of the Yukon-Tanana Uplands region in collaboration with the U.S. Geological Survey. The purpose of the U-Pb isotopic study is to better understand the Devonian-to-Mississippian and Mesozoic-to-Early Paleogene episodes of magmatic and tectonic events within the Yukon-Tanana Uplands and the relationship of magmatism to the metallic mineral deposits.
This area is characterized by the presence of two Late Devonian to Mississippian metamorphic assemblages-Lake George and Fortymile River (Dusel-Bacon and others, 2006; Foster, 1970). Both assemblages are composed of metasedimentary and metavolcanic rocks that have been intruded by Devonian to Eocene intrusive rocks of varying composition and texture. Paleozoic intrusive rocks are deformed and metamorphosed and include prevalent Late Devonian-Early Mississippian augen orthogneiss, herein called the Divide Mountain suite, that was emplaced into and deformed together with the Lake George assemblage (Aleinikoff and others, 1986). The Fortymile River assemblage is primarily cross-cut by Mississippian to Permian intrusive rocks that are also pervasively deformed and metamorphosed. Following Jurassic to mid-Cretaceous regional metamorphism and deformation, all metamorphic rock packages were intruded by Mid- to Late-Cretaceous volcanic and plutonic rocks (Naibert and others, 2018), some of which have known or suspected potential for gold together with silver, zinc, copper, and lead mineralization.
Products included in this data release are: A summary of sample-collection methods, the laboratory report, analytical data tables, and associated metadata. All components of this data release are available on the DGGS website http://doi.org/10.14509/30465.
","language":"English","publisher":"Alaska Division of Geological and Geophysical Surveys","doi":"10.14509/30465","usgsCitation":"Wypych, A., Jones, J.V., and O’Sullivan, P.B., 2020, U-Pb Zircon ages from bedrock samples collected in the Tanacross D-1, and parts of the D-2, C-1, and C-2 quadrangles, Alaska: Preliminary Interpretive Reports 2020-2, 20 p., https://doi.org/10.14509/30465.","productDescription":"20 p.","ipdsId":"IP-120142","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":456559,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/30465","text":"Publisher Index Page"},{"id":378095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Tanacross quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -143.28918457031247,\n 62.83007274089145\n ],\n [\n -141.0205078125,\n 62.83007274089145\n ],\n [\n -141.0205078125,\n 63.56567518468513\n ],\n [\n -143.28918457031247,\n 63.56567518468513\n ],\n [\n -143.28918457031247,\n 62.83007274089145\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wypych, Alicja","contributorId":216040,"corporation":false,"usgs":false,"family":"Wypych","given":"Alicja","email":"","affiliations":[{"id":39354,"text":"State of Alaska Department of Natural Resources DGGS Fairbanks","active":true,"usgs":false}],"preferred":false,"id":797827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, James V. III 0000-0002-6602-5935 jvjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6602-5935","contributorId":201245,"corporation":false,"usgs":true,"family":"Jones","given":"James","suffix":"III","email":"jvjones@usgs.gov","middleInitial":"V.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":797828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Sullivan, Paul B.","contributorId":193544,"corporation":false,"usgs":false,"family":"O’Sullivan","given":"Paul","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":797829,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70210432,"text":"70210432 - 2020 - Nanoscale molecular composition of solid bitumen from the Eagle Ford Group across a natural thermal maturity gradient","interactions":[],"lastModifiedDate":"2020-08-05T13:38:13.450998","indexId":"70210432","displayToPublicDate":"2020-06-01T08:05:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1513,"text":"Energy and Fuels","active":true,"publicationSubtype":{"id":10}},"title":"Nanoscale molecular composition of solid bitumen from the Eagle Ford Group across a natural thermal maturity gradient","docAbstract":"Microscopic solid bitumen is a petrographically defined secondary organic matter residue produced during petroleum generation and subsequent oil transformation. The presence of solid bitumen impacts many reservoir properties including porosity, permeability, and hydrocarbon generation and storage, among others. Furthermore, solid bitumen reflectance is an important parameter for assessing the thermal maturity of formations with little to no vitrinite. While the molecular composition of solid bitumen will strongly impact associated parameters such as the development of organic matter porosity, hydrocarbon generation, and optical reflectance, assessing the molecular composition of solid bitumen in situ within shale reservoirs can be challenging due to the small grain sizes (often ≤1 μm in diameter) and the inherent heterogeneity of shale formations. Here we employ the recently developed atomic force microscopy based infrared spectroscopy (AFM-IR) technique to investigate solid bitumen molecular composition in situ within shale samples from the Late Cretaceous Eagle Ford Group. These samples possess sulfur-rich type II kerogens that span a natural thermal maturity gradient from early oil generation to the dry gas window. The application of AFM-IR allows for the rapid collection of thousands of compositional measurements from solid bitumen with ∼50 nm resolution. Our results indicate that (i) solid bitumen from the lower Eagle Ford displays both intra- and intergranular variation in the relative abundance of CH2, C═C, and C═O moieties present; (ii) this molecular variation tends to, but does not always, decrease with an increase in thermal maturity; and (iii) the solid bitumen composition between samples, from an atomic ratio perspective, is more similar than analysis of bulk kerogen isolates would indicate. These findings are discussed with perspective toward understanding the impact of thermal stress on the composition of secondary organic matter within the Eagle Ford Shale and highlight the growing awareness that organic matter heterogeneity within petroliferous mudrocks extends down to the nanoscale regime.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.energyfuels.0c00963","usgsCitation":"Jubb, A., Birdwell, J.E., Hackley, P.C., Hatcherian, J.J., and Qu, J., 2020, Nanoscale molecular composition of solid bitumen from the Eagle Ford Group across a natural thermal maturity gradient: Energy and Fuels, v. 34, no. 7, p. 8167-8177, https://doi.org/10.1021/acs.energyfuels.0c00963.","productDescription":"11 p.","startPage":"8167","endPage":"8177","ipdsId":"IP-117183","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":456561,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.energyfuels.0c00963","text":"Publisher Index Page"},{"id":436949,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PGXS53","text":"USGS data release","linkHelpText":"Nanoscale Molecular Composition of Solid Bitumen from the Eagle Ford Group Across a Natural Thermal Maturity Gradient"},{"id":375308,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":790277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":790278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":790279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatcherian, Javin J. 0000-0001-9151-6798 jhatcherian@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-6798","contributorId":195770,"corporation":false,"usgs":true,"family":"Hatcherian","given":"Javin","email":"jhatcherian@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":790280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Qu, Jing","contributorId":219317,"corporation":false,"usgs":false,"family":"Qu","given":"Jing","email":"","affiliations":[],"preferred":false,"id":790281,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70215642,"text":"70215642 - 2020 - Unexplained patterns of grey wolf Canis lupus natal dispersal","interactions":[],"lastModifiedDate":"2020-10-27T12:16:01.362616","indexId":"70215642","displayToPublicDate":"2020-06-01T06:53:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2651,"text":"Mammal Review","active":true,"publicationSubtype":{"id":10}},"title":"Unexplained patterns of grey wolf Canis lupus natal dispersal","docAbstract":"Natal dispersal (movement from the site of birth to the site of reproduction) is a pervasive but highly varied characteristic of life forms. Thus, understanding it in any species informs many aspects of biology, but studying it in most species is difficult. In the grey wolf Canis lupus, natal dispersal has been well studied. Maturing members of both sexes generally leave their natal packs, pair with opposite‐sex dispersers from other packs, near or far, select a territory, and produce their own offspring. However, three movement patterns of some natal‐dispersing wolves remain unexplained: 1) long‐distance dispersal when potential mates seem nearby, 2) round‐trip travels from their natal packs for varying periods and distances, also called extraterritorial movements, and often not resulting in pairing, and 3) coincidental dispersal by individual wolves from a given area in the same basic directions and over the same long distances. This perspective article documents and discusses these unexplained dispersal patterns, suggests possible explanations, and calls for additional research to understand them more clearly.
","language":"English","publisher":"Wiley","doi":"10.1111/mam.12198","usgsCitation":"Mech, L.D., 2020, Unexplained patterns of grey wolf Canis lupus natal dispersal: Mammal Review, v. 50, no. 3, p. 314-323, https://doi.org/10.1111/mam.12198.","productDescription":"10 p.","startPage":"314","endPage":"323","ipdsId":"IP-112039","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":379791,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":803054,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70229340,"text":"70229340 - 2020 - Fish predation on a landscape scale","interactions":[],"lastModifiedDate":"2022-03-04T12:50:54.554435","indexId":"70229340","displayToPublicDate":"2020-06-01T06:43:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Fish predation on a landscape scale","docAbstract":"Predator–prey dynamics can have landscape-level impacts on ecosystems, and yet, spatial patterns and environmental predictors of predator–prey dynamics are often investigated at discrete locations, limiting our understanding of the broader impacts. At these broader scales, landscapes often contain multiple complex and heterogeneous habitats, requiring a spatially representative sampling design. This challenge is especially pronounced in California’s Sacramento–San Joaquin River Delta, where managers require information on the landscape-scale impacts of non-native fish predators on multiple imperiled native prey fish populations. We quantified relative predation risk in the southern half of the Delta (South Delta) in 2017 using floating baited tethers that record the exact time and location of predation events. We selected 20 study sites using a generalized random tessellation stratified survey design, which allowed us to infer relationships between key environmental covariates and predation across a broader spatial scale than previous studies. Covariates included distance-to-nearest predators, water temperature, turbidity, depth, bottom slope, bottom roughness, water velocity, and distance-to-nearest riverbank and nearest aquatic vegetation bed. Model selection determined the covariates that best predicted relative predation risk: water temperature, time of day, mean predator distance, and river bottom roughness. Using this model, we estimated predation risk for the South Delta landscape at a 1-day and 1-km resolution. This effort identified hot spots of predation risk and allowed us to generate predicted survival for migrating fish transiting the South Delta. This methodology can be applied to other systems to evaluate spatio-temporal dynamics in predation risk, and their biotic and abiotic predictors.
Despite decades of effort toward reducing nitrogen and phosphorus flux to Chesapeake Bay, water-quality and ecological responses in surface waters have been mixed. Recent research, however, provides useful insight into multiple factors complicating the understanding of nutrient trends in bay tributaries, which we review in this paper, as we approach a 2025 total maximum daily load (TMDL) management deadline. Improvements in water quality in many streams are attributable to management actions that reduced point sources and atmospheric nitrogen deposition and to changes in climate. Nutrient reductions expected from management actions, however, have not been fully realized in watershed streams. Nitrogen from urban nonpoint sources has declined, although water-quality responses to urbanization in individual streams vary depending on predevelopment land use. Evolving agriculture, the largest watershed source of nutrients, has likely contributed to local nutrient trends but has not affected substantial changes in flux to the bay. Changing average nitrogen yields from farmland underlain by carbonate rocks, however, may suggest future trends in other areas under similar management, climatic, or other influences, although drivers of these changes remain unclear. Regardless of upstream trends, phosphorus flux to the bay from its largest tributary has increased due to sediment infill in the Conowingo Reservoir. In general, recent research emphasizes the utility of input reductions over attempts to manage nutrient fate and transport at limiting nutrients in surface waters. Ongoing research opportunities include evaluating effects of climate change and conservation practices over time and space and developing tools to disentangle and evaluate multiple influences on regional water quality.
","language":"English","publisher":"ACSESS","doi":"10.1002/jeq2.20101","usgsCitation":"Ator, S., Blomquist, J.D., Webber, J.S., and Chanat, J.G., 2020, Factors driving nutrient trends in streams of the Chesapeake Bay watershed: Journal of Environmental Quality, v. 49, no. 4, p. 812-834, https://doi.org/10.1002/jeq2.20101.","productDescription":"23 p.","startPage":"812","endPage":"834","ipdsId":"IP-112009","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":456568,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.20101","text":"Publisher Index Page"},{"id":395389,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n \"type\": 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-75.882568359375,\n 37.42252593456307\n ],\n [\n -75.618896484375,\n 37.640334898059486\n ],\n [\n -75.509033203125,\n 37.82280243352756\n ],\n [\n -75.38818359375,\n 38.013476231041935\n ],\n [\n -75.16845703124999,\n 38.272688535980976\n ],\n [\n -75.1904296875,\n 38.41916639395372\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Ator, Scott 0000-0002-9186-4837","orcid":"https://orcid.org/0000-0002-9186-4837","contributorId":215458,"corporation":false,"usgs":true,"family":"Ator","given":"Scott","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blomquist, Joel D. 0000-0002-0140-6534","orcid":"https://orcid.org/0000-0002-0140-6534","contributorId":215461,"corporation":false,"usgs":true,"family":"Blomquist","given":"Joel","middleInitial":"D.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webber, James S. 0000-0001-6636-1368","orcid":"https://orcid.org/0000-0001-6636-1368","contributorId":222000,"corporation":false,"usgs":true,"family":"Webber","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chanat, Jeffrey G. 0000-0002-3629-7307 jchanat@usgs.gov","orcid":"https://orcid.org/0000-0002-3629-7307","contributorId":5062,"corporation":false,"usgs":true,"family":"Chanat","given":"Jeffrey","email":"jchanat@usgs.gov","middleInitial":"G.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833077,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70211676,"text":"70211676 - 2020 - Development and evaluation of an improved TFM formulation for use in feeder stream treatments","interactions":[],"lastModifiedDate":"2021-01-26T17:46:31.983326","indexId":"70211676","displayToPublicDate":"2020-05-31T11:43:47","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":7568,"text":"Project Completion Report","active":true,"publicationSubtype":{"id":3}},"title":"Development and evaluation of an improved TFM formulation for use in feeder stream treatments","docAbstract":"The binational Great Lakes Fishery Commission sponsored Sea Lamprey Control Program effectively utilizes a variety of lampricide tools to keep populations of parasitic sea lampreys in the Great Lakes at levels that do not cause undue economic or ecological damage. The most widely used toxicant used in lampricide formulations is 3-trifluoromethyl-4-nitrophenol (TFM). In typical treatments, a liquid TFM formulation is applied to lamprey producing streams continuously for 10–14 hours to produce a moving block of lampricide-treated water that kills larval lamprey before they metamorphose into their parasitic lifestage. In many smaller tributaries of dendritic streams a solid bar formulation of TFM is used to supplement the mainstem treatment block. These supplemental TFM bar applications are coordinated with the arrival of the mainstem lampricide to prevent larval sea lamprey from seeking refuge in untreated waters and surviving the treatment. TFM bars are produced from formulated surfactants and designed to release TFM over an 8–10-hour period, depending on water temperature and velocity. However, some of the surfactants have been discontinued resulting in the reformulation of the TFM bars multiple times. As a result of these reformulations, TFM bar performance has declined.\n\nAn experimental surfactant-free solid TFM tablet formulation was developed as a potential replacement for TFM bars. Release of TFM from the experimental tablets was evaluated using replicated laboratory dissolution trials conducted at three water temperatures and three water velocities. A continuous-flow laboratory flume was used for the dissolution trials and the decay of the tablets was modeled using logistic decay curves. Time required for the TFM tablet to decay 50 and 99% were compared among the groups using a two-way analysis of variance. Post-hoc Tukey Honest Significant Difference tests indicated that both water temperature and water velocity influenced the decay of the tablet; however, neither water temperature or water velocity appeared to dramatically influence TFM release. Results from this laboratory study indicate that the next stage of evaluating the TFM tablets using field tests is warranted.","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Luoma, J.A., Robertson, N., Schloesser, N., Kirkeeng, C., Schueller, J., and Meulemans, E., 2020, Development and evaluation of an improved TFM formulation for use in feeder stream treatments: Project Completion Report, 19 p.","productDescription":"19 p.","ipdsId":"IP-118346","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":382605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":382604,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.glfc.org/pubs/pdfs/research/reports/2018_LAN_76012.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":795005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robertson, Nicholas","contributorId":237024,"corporation":false,"usgs":false,"family":"Robertson","given":"Nicholas","email":"","affiliations":[{"id":18886,"text":"Northland College","active":true,"usgs":false}],"preferred":false,"id":795006,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schloesser, Nicholas 0000-0002-3815-5302","orcid":"https://orcid.org/0000-0002-3815-5302","contributorId":237025,"corporation":false,"usgs":true,"family":"Schloesser","given":"Nicholas","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":795007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kirkeeng, Courtney A. 0000-0002-7141-1216","orcid":"https://orcid.org/0000-0002-7141-1216","contributorId":237026,"corporation":false,"usgs":true,"family":"Kirkeeng","given":"Courtney","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":795008,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schueller, Justin R. 0000-0002-7102-3889","orcid":"https://orcid.org/0000-0002-7102-3889","contributorId":213527,"corporation":false,"usgs":true,"family":"Schueller","given":"Justin","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":795009,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meulemans, Erica","contributorId":237027,"corporation":false,"usgs":false,"family":"Meulemans","given":"Erica","email":"","affiliations":[{"id":18886,"text":"Northland College","active":true,"usgs":false}],"preferred":false,"id":795010,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70210727,"text":"70210727 - 2020 - Consequences of Piscine orthoreovirus genotype 1 (PRV‐1) infections in Chinook salmon (Oncorhynchus tshawytscha ), coho salmon (O. kisutch ) and rainbow trout (O. mykiss )","interactions":[],"lastModifiedDate":"2020-06-19T15:09:34.065183","indexId":"70210727","displayToPublicDate":"2020-05-31T10:02:59","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Consequences of Piscine orthoreovirus genotype 1 (PRV‐1) infections in Chinook salmon (Oncorhynchus tshawytscha ), coho salmon (O. kisutch ) and rainbow trout (O. mykiss )","title":"Consequences of Piscine orthoreovirus genotype 1 (PRV‐1) infections in Chinook salmon (Oncorhynchus tshawytscha ), coho salmon (O. kisutch ) and rainbow trout (O. mykiss )","docAbstract":"Piscine orthoreovirus genotype 1 (PRV‐1) is the causative agent of heart and skeletal muscle inflammation (HSMI) in farmed Atlantic salmon (Salmo salar L.). The virus has also been found in Pacific salmonids in western North America, raising concerns about the risk to native salmon and trout. Here, we report the results of laboratory challenges using juvenile Chinook salmon, coho salmon and rainbow trout injected with tissue homogenates from Atlantic salmon testing positive for PRV‐1 or with control material. Fish were sampled at intervals to assess viral RNA transcript levels, haematocrit, erythrocytic inclusions and histopathology. While PRV‐1 replicated in all species, there was negligible mortality in any group. We observed a few erythrocytic inclusion bodies in fish from the PRV‐1‐infected groups. At a few time points, haematocrits were significantly lower in the PRV‐1‐infected groups relative to controls, but in no case was anaemia noted. The most common histopathological finding was mild, focal myocarditis in both the non‐infected controls and PRV‐1‐infected fish. All cardiac lesions were judged mild, and none were consistent with those of HSMI. Together, these results suggest all three species are susceptible to PRV‐1 infection, but in no case did infection cause notable disease in these experiments.
","language":"English","publisher":"Wiley","doi":"10.1111/jfd.13182","usgsCitation":"Purcell, M.K., Powers, R., Taksdal, T., Mckenney, D., Conway, C.M., Elliott, D.G., Polinski, M., Garver, K.A., and Winton, J., 2020, Consequences of Piscine orthoreovirus genotype 1 (PRV‐1) infections in Chinook salmon (Oncorhynchus tshawytscha ), coho salmon (O. kisutch ) and rainbow trout (O. mykiss ): Journal of Fish Diseases, v. 43, no. 7, p. 719-728, https://doi.org/10.1111/jfd.13182.","productDescription":"10 p.","startPage":"719","endPage":"728","ipdsId":"IP-113652","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":456570,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfd.13182","text":"Publisher Index Page"},{"id":436950,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HAD6D0","text":"USGS data release","linkHelpText":"Laboratory exposure of Chinook salmon (Oncorhynchus tshawytscha), coho salmon (O. kisutch) and rainbow trout (O. mykiss) to a Pacific Canadian strain of piscine orthoreovirus genotype one (PRV-1)"},{"id":375777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-05-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Purcell, Maureen K. 0000-0003-0154-8433 mpurcell@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8433","contributorId":168475,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen","email":"mpurcell@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":791132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powers, Rachel L. 0000-0001-6901-4361","orcid":"https://orcid.org/0000-0001-6901-4361","contributorId":190182,"corporation":false,"usgs":true,"family":"Powers","given":"Rachel L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":791133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taksdal, Torunn","contributorId":225423,"corporation":false,"usgs":false,"family":"Taksdal","given":"Torunn","email":"","affiliations":[{"id":36770,"text":"Norwegian Veterinary Institute, Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":791134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mckenney, Douglas 0000-0003-3565-7670","orcid":"https://orcid.org/0000-0003-3565-7670","contributorId":220174,"corporation":false,"usgs":true,"family":"Mckenney","given":"Douglas","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":791135,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conway, Carla M. 0000-0002-3851-3616 cmconway@usgs.gov","orcid":"https://orcid.org/0000-0002-3851-3616","contributorId":2946,"corporation":false,"usgs":true,"family":"Conway","given":"Carla","email":"cmconway@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":791136,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elliott, Diane G. 0000-0002-4809-6692 dgelliott@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-6692","contributorId":2947,"corporation":false,"usgs":true,"family":"Elliott","given":"Diane","email":"dgelliott@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":791137,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Polinski, Mark","contributorId":225424,"corporation":false,"usgs":false,"family":"Polinski","given":"Mark","affiliations":[{"id":12619,"text":"Pacific Biological Station, Fisheries and Oceans Canada, Nanaimo, BC, Canada","active":true,"usgs":false}],"preferred":false,"id":791138,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Garver, Kyle A.","contributorId":149992,"corporation":false,"usgs":false,"family":"Garver","given":"Kyle","email":"","middleInitial":"A.","affiliations":[{"id":17880,"text":"Fisheries and Oceans, Canada, Pacific Biological Station, Nanaimo, BC, Canada","active":true,"usgs":false}],"preferred":false,"id":791139,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Winton, James 0000-0002-3505-5509 jwinton@usgs.gov","orcid":"https://orcid.org/0000-0002-3505-5509","contributorId":179330,"corporation":false,"usgs":true,"family":"Winton","given":"James","email":"jwinton@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":791140,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70211207,"text":"70211207 - 2020 - Detrital record of the late Oligocene – Early Miocene mafic volcanic arc in the southern Patagonian Andes (~51 °S) from single-clast geochronology and trace element geochemistry","interactions":[],"lastModifiedDate":"2020-07-20T12:45:37.322765","indexId":"70211207","displayToPublicDate":"2020-05-30T13:15:18","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2304,"text":"Journal of Geodynamics","active":true,"publicationSubtype":{"id":10}},"title":"Detrital record of the late Oligocene – Early Miocene mafic volcanic arc in the southern Patagonian Andes (~51 °S) from single-clast geochronology and trace element geochemistry","docAbstract":"Retroarc foreland basins are important archives of continental arc magmatism and upper plate deformational processes that control the evolution of continental lithosphere. However, resolving source areas in foreland basin infill dominated from mixed mafic and recycled sediment using conventional methods such as detrital zircon geochronology poses a challenge to thorough analysis due to lower zircon fertility and the higher susceptibility to weathering of mafic lithologies. Here, we integrate whole rock 40Ar/39Ar geochronology and major and trace element geochemistry data from volcanic clasts from the lower Miocene infill of the Magallanes-Austral Basin and local Sierra Baguales intrusive rocks to understand the distribution of mafic sources and Neogene changes in arc magmatism in between multiple ridge subduction events in the southern Patagonian Andes. Potential source areas for the coarse-grained mafic detritus include the Eocene plateau lavas, the Late Jurassic-Miocene Southern Patagonian batholith, and the Late Jurassic Sarmiento Ophiolitic Complex. Published detrital zircon U-Pb age spectra suggest that all three sources are viable contributors to the basin, though the paucity of Jurassic and Eocene zircons preclude these as major sources. Here, new 40Ar/39Ar dating of the volcanic clasts from the early Miocene Río Guillermo Formation reveals latest Oligocene to early Miocene eruptive ages (∼25-22 Ma), indicating syndepositional eruption with the ancestral Río Guillermo fluvial sedimentation. A single dated clast yields a Late Cretaceous age (∼102 Ma). The clasts are dominantly basaltic andesite with Ba/Ta ∼500-1000, La/Ta >20, and Ba/La >15, indicating an arc-derived melt source. We propose that the clasts record a Miocene mafic continental arc source area in the Patagonian Andes, which has since been removed by erosion and is thus sparsely represented in the batholith. Furthermore, we suggest that this early Miocene phase of arc volcanism, which postdates Eocene and Oligocene backarc magmatism and pre-dates middle Miocene to recent Chile Ridge backarc magmatism, reflects a return to normal arc volcanism along the Patagonian margin following a cessation due to ridge subduction and subsequent slab window migration. New geochemistry and 40Ar/39Ar data from a basaltic dike in the Sierra Baguales, which crosscuts the Cenozoic stratigraphic section, records plateau magmatism ∼16 Ma associated with incipient Chile Ridge slab window volcanism.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jog.2020.101751","usgsCitation":"VanderLeest, R.A., Fosdick, J., Leonard, J.S., and Morgan, L.E., 2020, Detrital record of the late Oligocene – Early Miocene mafic volcanic arc in the southern Patagonian Andes (~51 °S) from single-clast geochronology and trace element geochemistry: Journal of Geodynamics, v. 138, 1001751, 15 p., https://doi.org/10.1016/j.jog.2020.101751.","productDescription":"1001751, 15 p.","ipdsId":"IP-113443","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":456573,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jog.2020.101751","text":"Publisher Index Page"},{"id":436951,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FN6J0L","text":"USGS data release","linkHelpText":"Argon data for Southern Patagonian Andes"},{"id":376475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina, Chile","otherGeospatial":"Patagonian Andes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.3984375,\n -56.75272287205735\n ],\n [\n -65.21484375,\n -56.75272287205735\n ],\n [\n -65.21484375,\n -39.368279149160124\n ],\n [\n -78.3984375,\n -39.368279149160124\n ],\n [\n -78.3984375,\n -56.75272287205735\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"138","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"VanderLeest, Rebecca A.","contributorId":229447,"corporation":false,"usgs":false,"family":"VanderLeest","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":793199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fosdick, Julie C","contributorId":229448,"corporation":false,"usgs":false,"family":"Fosdick","given":"Julie C","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":793200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leonard, Joel S","contributorId":229449,"corporation":false,"usgs":false,"family":"Leonard","given":"Joel","email":"","middleInitial":"S","affiliations":[{"id":41647,"text":"Arizona State University,","active":true,"usgs":false}],"preferred":false,"id":793201,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":793202,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70211483,"text":"70211483 - 2020 - Examining the mechanisms of species responses to climate change: Are there biological thresholds?","interactions":[],"lastModifiedDate":"2020-07-30T16:23:57.002172","indexId":"70211483","displayToPublicDate":"2020-05-30T11:18:26","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Examining the mechanisms of species responses to climate change: Are there biological thresholds?","docAbstract":"Climate-change-driven shifts in distribution and abundance have been documented in many species. However, in order to better predict species responses, managers are seeking to understand the mechanisms that are driving these changes, including any thresholds that might soon be crossed. Leveraging the research that has already been supported by the Northeast Climate Adaptation Science Center and its partners, this project used the latest modeling techniques combined with robust field data to examine the impact of specific climate variables, land use change, and species interactions on the future distribution and abundance of species of conservation concern. Moreover, this project documented biological thresholds related to climate variability and change for critical species in the Northeastern and Midwestern U.S. Specifically, our objectives were to identify the primary drivers (climate change vs. urban growth) of species distribution changes in the Northeast; examine the nature of species landscape capability change over time to identify potential thresholds; determine how changing temperatures and snowpack characteristics will drive species interactions; analyze the sensitivity of tree and bird responses to the magnitude, variability, periodicity, and seasonality of temperature and precipitation under climate change in the eastern U.S.; and identify how discrete climate triggers such as extreme events will correlate with known biological thresholds. Major outcomes included 1) refining the understanding of the mechanisms that drive projected changes in the distribution of vulnerable populations; and 2) improving how these results are conveyed to stakeholders by identifying understandable responses in the form of thresholds.","language":"English","publisher":"Northeast Climate Adaptation Science Center","usgsCitation":"DeLuca, W., Bonnot, T.W., Siren, A., Horton, R.M., Griffin, C.R., and Morelli, T.L., 2020, Examining the mechanisms of species responses to climate change: Are there biological thresholds?, 34 p.","productDescription":"34 p.","ipdsId":"IP-117230","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":376907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":376805,"type":{"id":15,"text":"Index Page"},"url":"https://cascprojects.org/#/project/4f8c648de4b0546c0c397b43/57b35c6de4b03bcb01039665"}],"country":"United States","state":"Connecticut, Delaware, Illinois, Indiana, Iowa, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Hampshire New Jersey, New York, Ohio, Pennsylvania, Rhode Island. 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K.","contributorId":236810,"corporation":false,"usgs":false,"family":"Siren","given":"Alexej P. 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Since 2008, federal, state, and provincial agencies and tribal and private organizations have collaborated on bat and white‐nose syndrome (WNS) surveillance and monitoring, research, and management programs. Accordingly, scientists and managers have learned a lot about the hosts, pathogen, and dynamics of WNS. However, effective mitigation measures to combat WNS remain elusive. Host–pathogen systems are complex, and identifying ecological research priorities to improve management, choosing among various actions, and deciding when to implement those actions can be challenging. Through a cross‐disciplinary approach, a group of diverse subject matter experts created an influence diagram used to identify uncertainties and prioritize research needs for WNS management. Critical knowledge gaps were identified, particularly with respect to how WNS dynamics and impacts may differ among bat species. We highlight critical uncertainties and identify targets for WNS research. This tool can be used to maximize the likelihood of achieving bat conservation goals within the context and limitations of specific real‐world scenarios.
The El Tatio geothermal field in the Chilean Altiplano contains hydrothermal silica sinter deposits overlaying glacial and volcanic units, providing an opportunity to constrain the timing of deglaciation and volcanic activity in an area with sparse absolute chronologies. We obtained 51 new radiocarbon ages and δ13C values on the organic material trapped in these sinter deposits. Based on the δ13C values, we exclude 29 samples for possible contamination with bacterial mats that incorporate old carbon. We infer that hydrothermal activity initiated ~27 ka ago and has been nearly continuous ever since. The ages of the oldest sinter deposits coincide with ages of moraines that stabilized after the most recent deglaciation. Whereas late Pleistocene sinters are broadly distributed in the field, Holocene deposits are found around active hydrothermal features. Although recent volcanism is absent in the vicinity of El Tatio, persistent hydrothermal discharge implies a long‐lived magmatic heat source.
","language":"English","publisher":"America Geophysical Union","doi":"10.1029/2020GL087908","usgsCitation":"Munoz Saez, C., Manga, M., Hurwitz, S., Salgter, S., Churchill, D., Reich, M., Damby, D., and Morata, D., 2020, Radiocarbon dating of silica sinter and postglacial hydrothermal activity in the El Tatio geyser field: Geophysical Research Letters, v. 47, no. 11, e2020GL087908, 10 p., https://doi.org/10.1029/2020GL087908.","productDescription":"e2020GL087908, 10 p.","ipdsId":"IP-107089","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":456577,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020gl087908","text":"Publisher Index Page"},{"id":375776,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"El Tatio Geothermal Field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -68.40087890624999,\n -22.938159639316396\n ],\n [\n -67.87353515625,\n -22.938159639316396\n ],\n [\n -67.87353515625,\n -22.271305748177625\n ],\n [\n -68.40087890624999,\n -22.271305748177625\n ],\n [\n -68.40087890624999,\n -22.938159639316396\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"11","noUsgsAuthors":false,"publicationDate":"2020-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Munoz Saez, Carolina","contributorId":225418,"corporation":false,"usgs":false,"family":"Munoz Saez","given":"Carolina","email":"","affiliations":[{"id":37346,"text":"Universidad de Chile","active":true,"usgs":false}],"preferred":false,"id":791124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manga, Michael","contributorId":199572,"corporation":false,"usgs":false,"family":"Manga","given":"Michael","affiliations":[],"preferred":false,"id":791125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - 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2020 - Quantifying uncertainty for remote spectroscopy of surface composition","interactions":[],"lastModifiedDate":"2020-06-02T13:35:00.39489","indexId":"70210388","displayToPublicDate":"2020-05-30T08:15:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying uncertainty for remote spectroscopy of surface composition","docAbstract":"Remote surface measurements by imaging spectrometers play an important role in planetary and Earth science.\nTo make these measurements, investigators calibrate instrument data to absolute units, invert physical models to\nestimate atmospheric effects, and then determine surface properties from the spectral reflectance. This study\nquantifies the uncertainty in this process. Global missions demand predictive uncertainty models that can estimate\nfuture errors for varied environments and observing conditions. Here we validate uncertainty predictions\nwith remote surface composition retrievals and in situ measurements in a field analogue of Earth and planetary\nexploration. We consider rover transects at Cuprite, Nevada, and remote observations by NASA's Next-\nGeneration Airborne Visible Infrared Imaging Spectrometer (AVIRIS-NG). We show that accounting for input\nuncertainties can benefit mineral detection methods such as constrained spectrum fitting. This suggests that\noperational uncertainty estimates could improve future NASA missions like the Earth Mineral dust source\nInvesTigation (EMIT) and the Lunar Trailblazer mission, as well as NASA's Decadal Surface Biology and Geology (SBG) Investigation.","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2020.111898","usgsCitation":"Thompson, D.R., Braverman, A., Brodrick, P., Candela, A., Carmon, N., Clark, R., Connelly, D., Green, R., Kokaly, R.F., Li, L., Mahowald, N., Miller, R.L., Okin, G.S., Painter, T., Swayze, G.A., Turmon, M., Susilouto, J., and Wettergreen, D., 2020, Quantifying uncertainty for remote spectroscopy of surface composition: Remote Sensing of Environment, v. 247, 111898, 18 p., https://doi.org/10.1016/j.rse.2020.111898.","productDescription":"111898, 18 p.","ipdsId":"IP-115408","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science 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H.","contributorId":225054,"corporation":false,"usgs":false,"family":"Painter","given":"Thomas H.","affiliations":[{"id":33607,"text":"University of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":790132,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Swayze, Gregg A. 0000-0002-1814-7823 gswayze@usgs.gov","orcid":"https://orcid.org/0000-0002-1814-7823","contributorId":518,"corporation":false,"usgs":true,"family":"Swayze","given":"Gregg","email":"gswayze@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":790133,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Turmon, Michael","contributorId":225055,"corporation":false,"usgs":false,"family":"Turmon","given":"Michael","email":"","affiliations":[{"id":41027,"text":"NASA JPL/CalTech","active":true,"usgs":false}],"preferred":false,"id":790134,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Susilouto, Jouni","contributorId":225056,"corporation":false,"usgs":false,"family":"Susilouto","given":"Jouni","email":"","affiliations":[{"id":41027,"text":"NASA JPL/CalTech","active":true,"usgs":false}],"preferred":false,"id":790135,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Wettergreen, David","contributorId":225057,"corporation":false,"usgs":false,"family":"Wettergreen","given":"David","email":"","affiliations":[{"id":12943,"text":"Carnegie Mellon University","active":true,"usgs":false}],"preferred":false,"id":790136,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70210695,"text":"70210695 - 2020 - Assessment of restorative maintenance practices on the infiltration capacity of permeable pavement","interactions":[],"lastModifiedDate":"2020-06-17T13:18:52.619516","indexId":"70210695","displayToPublicDate":"2020-05-30T08:12:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of restorative maintenance practices on the infiltration capacity of permeable pavement","docAbstract":"Permeable pavement has the potential to be an effective tool in managing stormwater runoff through retention of sediment and other contaminants associated with urban development. The infiltration capacity of permeable pavement declines as more sediment is captured, thereby reducing its ability to treat runoff. Regular restorative maintenance practices can alleviate this issue and prolong the useful life and benefits of the system. Maintenance practices used to restore the infiltration capacity of permeable pavement were evaluated on three surfaces: Permeable interlocking concrete pavers (PICP), pervious concrete (PC), and porous asphalt (PA). Each of the three test plots received a similar volume of runoff and sediment load from an adjacent, impervious asphalt parking lot. Six different maintenance practices were evaluated over a four-year period: Hand-held pressure washer and vacuum, leaf blower and push broom, vacuum-assisted street cleaner, manual disturbance of PICP aggregate, pressure washing and vacuuming, and compressed air and vacuuming. Of the six practices tested, five were completed on PICP, four on PC, and two on PA. Nearly all forms of maintenance resulted in increased average surface infiltration rates. Increases ranged from 94% to 1703% for PICP, 5% to 169% for PC, and 16% to 40% for PA. Disruption of the aggregate between the joints of PICP, whether by simple hand tools or sophisticated machinery, resulted in significant (p ≤ 0.05) gains in infiltration capacity. Sediment penetrated into the solid matrix of the PC and PA, making maintenance practices using a high-pressure wash followed by high-suction vacuum the most effective for these permeable pavement types. In all instances, when the same maintenance practice was done on multiple surfaces, PICP showed the greatest recovery in infiltration capacity.","language":"English","publisher":"MDPI","doi":"10.3390/w12061563","usgsCitation":"Danz, M., Selbig, W.R., and Buer, N., 2020, Assessment of restorative maintenance practices on the infiltration capacity of permeable pavement: Water, v. 12, no. 6, 1563, 17 p., https://doi.org/10.3390/w12061563.","productDescription":"1563, 17 p.","ipdsId":"IP-118229","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":456586,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w12061563","text":"Publisher Index Page"},{"id":375660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Dane County","city":"Madison","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.51248168945312,\n 43.023725588820255\n ],\n [\n -89.30374145507812,\n 43.023725588820255\n ],\n [\n -89.30374145507812,\n 43.159112387154174\n ],\n [\n -89.51248168945312,\n 43.159112387154174\n ],\n [\n -89.51248168945312,\n 43.023725588820255\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-05-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Danz, Mari 0000-0002-4716-0170 medanz@usgs.gov","orcid":"https://orcid.org/0000-0002-4716-0170","contributorId":219227,"corporation":false,"usgs":true,"family":"Danz","given":"Mari","email":"medanz@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":790999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buer, Nicolas 0000-0002-4369-8715","orcid":"https://orcid.org/0000-0002-4369-8715","contributorId":204808,"corporation":false,"usgs":true,"family":"Buer","given":"Nicolas","email":"","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791001,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70211588,"text":"70211588 - 2020 - Trends in oyster populations in the northeastern Gulf of Mexico: An assessment of river discharge and fishing effects over time and space","interactions":[],"lastModifiedDate":"2023-08-31T17:33:18.95725","indexId":"70211588","displayToPublicDate":"2020-05-30T08:03:31","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Trends in oyster populations in the northeastern Gulf of Mexico: An assessment of river discharge and fishing effects over time and space","docAbstract":"Within the Big Bend region of the northeastern Gulf of Mexico, one of the least developed coastlines in the continental USA, intertidal and subtidal populations of eastern oyster Crassostrea virginica (hereafter referred to as “oyster”) are a critical ecosystem and important economic constituent. We assessed trends in intertidal oyster populations, river discharge, and commercial fishing activity in the Suwannee River estuary within the Big Bend region using fisheries‐independent data from irregular monitoring efforts and publicly available environmental data. We used generalized linear models to evaluate counts of oysters from line‐transect surveys over time and space. We assessed model performance using simulation to understand potential bias and then evaluated whether these counts were related to freshwater inputs from the Suwannee River and commercial oyster fishing effort and landings at different time lags. We found that intertidal oyster counts have declined over time and that most of these declines are found in inshore intertidal oyster bars, which are becoming degraded. We also found a significant relationship between oyster counts and a 1‐year lag on mean daily Suwannee River discharge, but including commercial fishery trips or landings did not improve model fit. It is unclear whether declines in intertidal oyster bars are offset by formation of new oyster reefs elsewhere. These results quantify rapid declines in intertidal oyster reefs in a region of coastline with high conservation value that can be used to inform ongoing and proposed restoration projects in the region.","language":"English","publisher":"Wiley","doi":"10.1002/mcf2.10117","usgsCitation":"Moore, J.F., Pine, W.E., Frederick, P., Becker, S., Moreno, M., Dodrill, M., Boone, M., Sturmer, L., and Yurek, S., 2020, Trends in oyster populations in the northeastern Gulf of Mexico: An assessment of river discharge and fishing effects over time and space: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 12, no. 3, p. 191-204, https://doi.org/10.1002/mcf2.10117.","productDescription":"14 p.","startPage":"191","endPage":"204","ipdsId":"IP-114295","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":456589,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/mcf2.10117","text":"Publisher Index Page"},{"id":377005,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.51943969726561,\n 28.9913248161703\n ],\n [\n -82.67898559570311,\n 28.9913248161703\n ],\n [\n -82.67898559570311,\n 29.684473609006847\n ],\n [\n -83.51943969726561,\n 29.684473609006847\n ],\n [\n -83.51943969726561,\n 28.9913248161703\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-05-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, J. F","contributorId":236929,"corporation":false,"usgs":false,"family":"Moore","given":"J.","email":"","middleInitial":"F","affiliations":[{"id":47565,"text":"Department of Wildlife Ecology and Conservation, 110 Newins-Ziegler Hall, University of Florida, Gainesville, FL 32611","active":true,"usgs":false}],"preferred":false,"id":794727,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pine, W. E","contributorId":236930,"corporation":false,"usgs":false,"family":"Pine","given":"W.","email":"","middleInitial":"E","affiliations":[{"id":47565,"text":"Department of Wildlife Ecology and Conservation, 110 Newins-Ziegler Hall, University of Florida, Gainesville, FL 32611","active":true,"usgs":false}],"preferred":false,"id":794728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frederick, P. C","contributorId":236931,"corporation":false,"usgs":false,"family":"Frederick","given":"P. C","affiliations":[{"id":47565,"text":"Department of Wildlife Ecology and Conservation, 110 Newins-Ziegler Hall, University of Florida, Gainesville, FL 32611","active":true,"usgs":false}],"preferred":false,"id":794729,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Becker, Sarah","contributorId":210890,"corporation":false,"usgs":false,"family":"Becker","given":"Sarah","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":794730,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moreno, Marcos","contributorId":195527,"corporation":false,"usgs":false,"family":"Moreno","given":"Marcos","email":"","affiliations":[],"preferred":false,"id":794731,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dodrill, Michael J. 0000-0002-7038-7170","orcid":"https://orcid.org/0000-0002-7038-7170","contributorId":206439,"corporation":false,"usgs":true,"family":"Dodrill","given":"Michael","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":794732,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boone, Matthew","contributorId":202724,"corporation":false,"usgs":false,"family":"Boone","given":"Matthew","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":794733,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sturmer, L","contributorId":236932,"corporation":false,"usgs":false,"family":"Sturmer","given":"L","email":"","affiliations":[{"id":47566,"text":"University of Florida Extension, Senatore George Kirkpatrick Marine Lab, 11350 SW 153rd Court, Cedar Key, FL 32625","active":true,"usgs":false}],"preferred":false,"id":794734,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yurek, Simeon 0000-0002-6209-7915","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":216733,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":794735,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70217880,"text":"70217880 - 2020 - Progress toward a preliminary karst depression density map for the conterminous United States","interactions":[],"lastModifiedDate":"2021-04-19T15:28:09.384114","indexId":"70217880","displayToPublicDate":"2020-05-30T07:44:24","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Progress toward a preliminary karst depression density map for the conterminous United States","docAbstract":"Most methods for the assessment of sinkhole hazard susceptibility are predicated upon knowledge of pre-existing closed depressions in karst areas. In the United States (U.S.), inventories of existing karst depressions are piecemeal, and are often obtained through inconsistent methodologies applied at the state or county level and at various scales. Here, we present a first attempt at defining a karst closed depression inventory across the conterminous U.S. using a common methodology. Automated algorithms for extraction of closed depressions from 1/3 arc-second (approximately 10 m resolution) National Elevation Dataset (NED) were run on the U.S. Geological Survey (USGS) “Yeti” high-performance computing cluster. The full NED was first conditioned to reduce the creation of artificial closed depressions by breaching digital dams at road and stream crossings, using the flowlines and transportation route vectors from the USGS National Map. The resulting depressions were selected according to location within geologic units having the potential for karst, and screened for occurrence in areas of developed land, open water and wetlands, and areas of glacial and alluvial sediment cover. The results were used as the input to create a nationwide depression density map. Our results were compared with karst depression density maps for diverse karst regions within states that have existing closed depression inventories. The individual state-scale maps compared favorably to the results obtained from the method applied universally across the nation and illustrated regional sinkhole hotspots in known areas of well-developed karst. Limitations of the automated method includes false positive depressions resulting from artifacts generated during the computer processing of the elevation models, and inclusion of depressions resulting from non-karst geomorphic processes. More thorough examination of the screening criteria for depressions is required.
Predicting the success of future investments in coastal and estuarine ecosystem restorations is limited by scarce data quantifying sediment budgets and transport processes of prior restorations. This study provides detailed analyses of the hydrodynamics and sediment fluxes of a recently restored U.S. Pacific Northwest estuary, a 61 ha former agricultural area near the mouth of the Stillaguamish River in Washington, USA. Water level, flow velocity, and suspended-sediment concentration (SSC) were measured between 21 March 2014 and 1 June 2015 at breaches excavated in the former flood-protection levee to determine transport patterns and the net sediment budget of the restoration area. SSC within the restoration area was primarily controlled by SSC variability of the nearby main stem Stillaguamish, but coastal processes also played a major role in sediment delivery. Fluvial sediment loading was dominated by runoff events associated with rainfall that lasted hours to a few days. Additionally, the 22 March 2014 SR 530 (Oso) landslide elevated sediment supply to the restoration area and coastal region for several weeks, indicating the importance of distal geomorphic events to coastal sediment budgets in small mountainous river systems. Sediment fluxes were controlled by river SSC and tidal dynamics, which set the quantity of water transported into the restoration area. Peak water discharge at the restoration area was about 12% of the river discharge, and peak sediment flux at the restoration area was about 5% of the river sediment discharge, although net sediment import was <1% of the total river load. Although sediment was imported to the restoration area, and inferred rates of accretion appear sufficient to keep pace with present rates of local sea-level rise, full recovery is challenged by significant lost grade from historical subsidence and will likely take decades to centuries. These results have implications for estuary restoration planning globally and indicate the importance of understanding coupled fluvial–coastal processes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2020.106869","usgsCitation":"Nowacki, D.J., and Grossman, E.E., 2020, Sediment transport in a restored, river-influenced Pacific Northwest estuary: Estuarine, Coastal and Shelf Science, v. 242, 106869, 10 p., https://doi.org/10.1016/j.ecss.2020.106869.","productDescription":"106869, 10 p.","ipdsId":"IP-117166","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":456594,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2020.106869","text":"Publisher Index Page"},{"id":436953,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RK8H7X","text":"USGS data release","linkHelpText":"Oceanographic measurements collected in the Stillaguamish River Delta, Port Susan, Washington, USA from March 2014 to July 2015"},{"id":375454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.86148071289061,\n 47.814076743593624\n ],\n [\n -122.16110229492186,\n 47.814076743593624\n ],\n [\n -122.16110229492186,\n 48.438312142641244\n ],\n [\n -122.86148071289061,\n 48.438312142641244\n ],\n [\n -122.86148071289061,\n 47.814076743593624\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"242","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nowacki, Daniel J. 0000-0002-7015-3710 dnowacki@usgs.gov","orcid":"https://orcid.org/0000-0002-7015-3710","contributorId":174586,"corporation":false,"usgs":true,"family":"Nowacki","given":"Daniel","email":"dnowacki@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":790572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":196610,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric","email":"egrossman@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":790573,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70210393,"text":"70210393 - 2020 - Temporal and spatial variability of shallow soil moisture across four planar hillslopes on a tropical ocean island, San Cristóbal, Galápagos","interactions":[],"lastModifiedDate":"2020-06-02T12:30:23.389907","indexId":"70210393","displayToPublicDate":"2020-05-30T07:23:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and spatial variability of shallow soil moisture across four planar hillslopes on a tropical ocean island, San Cristóbal, Galápagos","docAbstract":"Study Region: This paper provides a summary of findings from temporal and spatial studies of soil water content on planar hillslopes across the equatorial island of San Cristóbal, Galápagos (Ecuador). \nStudy Focus: Soil water content (SWC) was measured to generate temporal and spatial records to determine seasonal variation and to investigate how the behavior of surface and near-surface root-zone soil water may support island-wide hydrogeology models. SWC probes were installed at four weather stations in a climosequence to generate a temporal record and spatial surveys of shallow SWC across the selected sites were completed during wet and dry seasons. Temporal differences in SWC were driven by seasonal variations in rainfall and evapotranspiration, while spatial variability remained high during both wet and dry seasons. Unsaturated hydraulic conductivity determined by mini-disk infiltrometers was highly variable across the slopes, as were other hydrologic variables. \nNew Hydrological Insights for the Region: The high heterogeneity of soil water and hydrologic characteristics provides a means to explain why little runoff is observed at the study sites: soils do not saturate uniformly across hillslopes, allowing for runoff generated in one part of the hillslope to be conducted into the soil in adjacent parts of the hillslope. The lack of connected surface runoff helps explain how water enters the groundwater system of the island.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2020.100692","usgsCitation":"Percy, M.S., Riveros-Iregui, D.A., Mirus, B.B., and Benninger, L.K., 2020, Temporal and spatial variability of shallow soil moisture across four planar hillslopes on a tropical ocean island, San Cristóbal, Galápagos: Journal of Hydrology: Regional Studies, v. 30, 100692, 20 p., https://doi.org/10.1016/j.ejrh.2020.100692.","productDescription":"100692, 20 p.","ipdsId":"IP-118110","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":456598,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2020.100692","text":"Publisher Index Page"},{"id":375238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Galápagos","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.52685546875,\n -1.7026302136023004\n ],\n [\n -88.868408203125,\n -1.7026302136023004\n ],\n [\n -88.868408203125,\n 1.2852925793638545\n ],\n [\n -92.52685546875,\n 1.2852925793638545\n ],\n [\n -92.52685546875,\n -1.7026302136023004\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Percy, Madelyn S.","contributorId":225062,"corporation":false,"usgs":false,"family":"Percy","given":"Madelyn","email":"","middleInitial":"S.","affiliations":[{"id":41033,"text":"UNC Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":790152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riveros-Iregui, Diego A.","contributorId":225063,"corporation":false,"usgs":false,"family":"Riveros-Iregui","given":"Diego","email":"","middleInitial":"A.","affiliations":[{"id":41033,"text":"UNC Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":790153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":790154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benninger, Larry K.","contributorId":225064,"corporation":false,"usgs":false,"family":"Benninger","given":"Larry","email":"","middleInitial":"K.","affiliations":[{"id":41033,"text":"UNC Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":790155,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70211837,"text":"70211837 - 2020 - A revised classification of the Xolmiini (Aves: Tyrannidae: Fluvicolinae), including a new genus for Muscisaxicola fluviatilis","interactions":[],"lastModifiedDate":"2020-08-07T20:47:00.093988","indexId":"70211837","displayToPublicDate":"2020-05-29T15:44:45","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3147,"text":"Proceedings of the Biological Society of Washington","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A revised classification of the Xolmiini (Aves: Tyrannidae: Fluvicolinae), including a new genus for Muscisaxicola fluviatilis","title":"A revised classification of the Xolmiini (Aves: Tyrannidae: Fluvicolinae), including a new genus for Muscisaxicola fluviatilis","docAbstract":"Recent studies using molecular phylogenetics have provided new insight into the composition of and relationships among species in the avian tribe Xolmiini. Key findings include the paraphyly of Xolmis, including the exclusion of X. dominicanus from the Xolmiini, and the apparent paraphyly of Muscisaxicola. We provide a revised classification of the Xolmiini, including a new genus for Muscisaxicola fluviatilis, based on the recent phylogenetic results.
","language":"English","publisher":"BioOne","doi":"10.2988/20-00002","usgsCitation":"Chesser, R., Harvey, M., Brumfield, R., and Derryberry, E.P., 2020, A revised classification of the Xolmiini (Aves: Tyrannidae: Fluvicolinae), including a new genus for Muscisaxicola fluviatilis: Proceedings of the Biological Society of Washington, v. 133, no. 1, p. 35-48, https://doi.org/10.2988/20-00002.","productDescription":"14 p.","startPage":"35","endPage":"48","ipdsId":"IP-116269","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":499868,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.lsu.edu/biosci_pubs/3519","text":"External Repository"},{"id":377202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"133","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chesser, R. Terry 0000-0003-4389-7092 tchesser@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-7092","contributorId":894,"corporation":false,"usgs":true,"family":"Chesser","given":"R. Terry","email":"tchesser@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":795314,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Michael G","contributorId":237791,"corporation":false,"usgs":false,"family":"Harvey","given":"Michael G","affiliations":[{"id":27996,"text":"Univ. of Tennessee","active":true,"usgs":false}],"preferred":false,"id":795315,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brumfield, Robb T","contributorId":215474,"corporation":false,"usgs":false,"family":"Brumfield","given":"Robb T","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":795316,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Derryberry, Elizabeth P","contributorId":237792,"corporation":false,"usgs":false,"family":"Derryberry","given":"Elizabeth","email":"","middleInitial":"P","affiliations":[{"id":27996,"text":"Univ. of Tennessee","active":true,"usgs":false}],"preferred":false,"id":795317,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70211927,"text":"70211927 - 2020 - Recognition of typical antibiotic residues in environmental media related to groundwater in China (2009−2019)","interactions":[],"lastModifiedDate":"2020-08-11T19:37:23.234371","indexId":"70211927","displayToPublicDate":"2020-05-29T14:25:49","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2331,"text":"Journal of Hazardous Materials","active":true,"publicationSubtype":{"id":10}},"title":"Recognition of typical antibiotic residues in environmental media related to groundwater in China (2009−2019)","docAbstract":"The potential adverse environmental and health-related impacts of antibiotics are becoming more and more concerning. China is globally the largest antibiotic producer and consumer, possibly resulting in the ubiquity and high detection levels of antibiotics in environmental compartments. Clear status on the concentration levels and spatial distribution of antibiotic contamination in China's environment is necessary to gain insight into the establishment of legal and regulatory frameworks. This study collects information from over 170 papers reporting the occurrence and distribution of antibiotics in China's environment. A total of 110 antibiotics were detected, and 28 priority antibiotics were ubiquitous in China in almost all compartments of the environment, excluding the atmosphere. Seven dominant antibiotics in all environment compartments were identified by cluster analysis, including tetracycline, oxytetracycline, chlortetracycline, ofloxacin, enrofloxacin, norfloxacin, and ciprofloxacin. Meanwhile, sulfamethoxazole, sulfadiazine, and sulfamethazine were also frequently found in aqueous phases. Among the main basins where antibiotics were detected, the Haihe River Basin had higher median antibiotic concentrations in surface water compared to other basins, while the Huaihe River Basin had higher median concentrations in sediment. The median values of antibiotic concentrations in the sources were as follows: animal manure, 39 μg/kg (microgram per kilogram); WWTP (wastewater treatment plant) sludge, 39 μg/kg; animal wastewater, 156 ng/L (nanogram per liter); WWTP effluent: 15 ng/L. These concentrations are 1 − 2 orders of magnitude higher than that of the receptors (soil, 2.1 μg/kg; sediment, 4.7 μg/kg; surface water, 8.1 ng/L; groundwater, 2.9 ng/L), whether in solid or aqueous phases. Based on the number of detected antibiotics in various environmental compartments, animal farms and WWTPs are the main sources of antibiotics, and surface water and sediment are the main receptors of antibiotics. Hierarchical clustering identified the two main pathways of antibiotic transfer in various environmental compartments, which are from animal wastewater/WWTP effluent to surface water/sediment and from animal manure/WWTP sludge to soil/groundwater.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhazmat.2020.122813","usgsCitation":"Huang, F., An, Z., Moran, M.J., and Liu, F., 2020, Recognition of typical antibiotic residues in environmental media related to groundwater in China (2009−2019): Journal of Hazardous Materials, v. 399, 122813, 13 p., https://doi.org/10.1016/j.jhazmat.2020.122813.","productDescription":"122813, 13 p.","ipdsId":"IP-109624","costCenters":[{"id":568,"text":"Southwest Biological Science 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Fuyang","contributorId":238021,"corporation":false,"usgs":false,"family":"Huang","given":"Fuyang","email":"","affiliations":[],"preferred":false,"id":795841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"An, Ziyi","contributorId":238022,"corporation":false,"usgs":false,"family":"An","given":"Ziyi","email":"","affiliations":[],"preferred":false,"id":795842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moran, Michael J. 0000-0002-3901-8502 mjmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-3901-8502","contributorId":238020,"corporation":false,"usgs":true,"family":"Moran","given":"Michael","email":"mjmoran@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":795843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Fei","contributorId":238023,"corporation":false,"usgs":false,"family":"Liu","given":"Fei","email":"","affiliations":[],"preferred":false,"id":795844,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70211853,"text":"70211853 - 2020 - Climate from the McMurdo Dry Valleys, Antarctica, 1986 – 2017: Surface air temperature trends and redefined summer season","interactions":[],"lastModifiedDate":"2020-08-10T17:00:40.623943","indexId":"70211853","displayToPublicDate":"2020-05-29T11:55:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5998,"text":"JGR Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"Climate from the McMurdo Dry Valleys, Antarctica, 1986 – 2017: Surface air temperature trends and redefined summer season","docAbstract":"The weather of the McMurdo Dry Valleys, Antarctica, the largest ice‐free region of the Antarctica, has been continuously monitored since 1985 with currently 14 operational meteorological stations distributed throughout the valleys. Because climate is based on a 30‐year record of weather, this is the first study to truly define the contemporary climate of the McMurdo Dry Valleys. Mean air temperature and solar radiation based on all stations were −20°C and 102 W m−2, respectively. Depending on the site location, the mean annual air temperatures on the valleys floors ranged between −15°C and −30°C, and mean annual solar radiation varied between 72 and 122 W m−2. Surface air temperature decreased by 0.7°C per decade from 1986 to 2006 at Lake Hoare station (longest continuous record), after which the record is highly variable with no trend. All stations with sufficiently long records showed similar trend shifts in 2005 ±1 year. Summer is defined as November through February, using a physically based process: up‐valley warming from the coast associated with a change in atmospheric stability.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JD032180","usgsCitation":"Obryk, M., Doran, P.T., Fountain, A., Myers, M., and McKay, C.P., 2020, Climate from the McMurdo Dry Valleys, Antarctica, 1986 – 2017: Surface air temperature trends and redefined summer season: JGR Atmospheres, v. 125, no. 13, e2019JD032180, 14 p., https://doi.org/10.1029/2019JD032180.","productDescription":"e2019JD032180, 14 p.","ipdsId":"IP-114211","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":499867,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.lsu.edu/geo_pubs/577","text":"External Repository"},{"id":377287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica, McMurdo Dry Valleys","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 156.708984375,\n -78.61266542765814\n ],\n [\n 165.8935546875,\n -78.61266542765814\n ],\n [\n 165.8935546875,\n -76.39331166244494\n ],\n [\n 156.708984375,\n -76.39331166244494\n ],\n [\n 156.708984375,\n -78.61266542765814\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"125","issue":"13","noUsgsAuthors":false,"publicationDate":"2020-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Obryk, Maciej K. 0000-0002-8182-8656","orcid":"https://orcid.org/0000-0002-8182-8656","contributorId":203477,"corporation":false,"usgs":true,"family":"Obryk","given":"Maciej","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":795398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doran, P. T.","contributorId":213879,"corporation":false,"usgs":false,"family":"Doran","given":"P.","email":"","middleInitial":"T.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":795399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fountain, A. G.","contributorId":237823,"corporation":false,"usgs":false,"family":"Fountain","given":"A. G.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":795400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Myers, Monique","contributorId":219345,"corporation":false,"usgs":false,"family":"Myers","given":"Monique","email":"","affiliations":[{"id":39996,"text":"California Sea Grant","active":true,"usgs":false}],"preferred":false,"id":795401,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKay, C. P.","contributorId":237824,"corporation":false,"usgs":false,"family":"McKay","given":"C.","email":"","middleInitial":"P.","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":795402,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70210102,"text":"70210102 - 2020 - Landslides across the United States: Occurrence, susceptibility, and data limitations","interactions":[],"lastModifiedDate":"2020-10-12T16:54:29.257116","indexId":"70210102","displayToPublicDate":"2020-05-29T10:10:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2604,"text":"Landslides","active":true,"publicationSubtype":{"id":10}},"title":"Landslides across the United States: Occurrence, susceptibility, and data limitations","docAbstract":"Detailed information about landslide occurrence is the foundation for advancing process understanding, susceptibility mapping, and risk reduction. Despite the recent revolution in digital elevation data and remote sensing technologies, landslide mapping remains resource intensive. Consequently, a modern, comprehensive map of landslide occurrence across the United States (USA) has not been compiled. As a first step toward this goal, we present a national-scale compilation of existing, publicly available landslide inventories. This geodatabase can be downloaded in its entirety or viewed through an online, searchable map, with parsimonious attributes and direct links to the contributing sources with additional details. The mapped spatial pattern and concentration of landslides are consistent with prior characterization of susceptibility within the conterminous USA, with some notable exceptions on the West Coast. Although the database is evolving and known to be incomplete in many regions, it confirms that landslides do occur across the country, thus highlighting the importance of our national-scale assessment. The map illustrates regions where high-quality mapping has occurred and, in contrast, where additional resources could improve confidence in landslide characterization. For example, borders between states and other jurisdictions are quite apparent, indicating the variation in approaches to data collection by different agencies and disparity between the resources dedicated to landslide characterization. Further investigations are needed to better assess susceptibility and to determine whether regions with high relief and steep topography, but without mapped landslides, require further landslide inventory mapping. Overall, this map provides a new resource for accessing information about known landslides across the USA.
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Groundwater and Surface Water","title":"Regional hydrostratigraphic framework of Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey, in the context of perfluoroalkyl substances contamination of groundwater and surface water","docAbstract":"A study was conducted by the U.S. Geological Survey, in cooperation with the U.S. Air Force, to describe the regional hydrostratigraphy of shallow aquifers and confining units underlying Joint Base McGuire-Dix-Lakehurst (JBMDL) and vicinity, New Jersey, in the context of contamination of groundwater and surface water by per- and polyfluoroalkyl substances (PFAS) potentially originating from JBMDL sources. The aquifers studied are two that crop out within JBMDL boundaries—the Kirkwood-Cohansey aquifer system and the Vincentown aquifer—and another aquifer near JBMDL that does not crop out at land surface—the Piney Point aquifer. The unconfined portion of the Vincentown aquifer and portions of the Kirkwood-Cohansey aquifer system that overlie the unconfined portion of the Vincentown aquifer are consolidated into, and described as, a single, separate unconfined aquifer system. Regionally extensive clay subunits that potentially create semiconfined hydrologic conditions within the mostly unconfined Kirkwood-Cohansey aquifer system also are identified. Two confining units were studied—the Manasquan-Shark River confining unit underlying the Kirkwood-Cohansey aquifer system, which includes the basal confining sediment in the Kirkwood Formation, and the Navesink-Hornerstown confining unit underlying the Vincentown aquifer. The hydrostratigraphic units are defined using available borehole geophysical logs, lithologic logs, and (or) drillers’ logs from 131 wells and are presented in a series of 8 aquifer structure maps and 12 cross sections. The framework positions JBMDL into a regional hydrostratigraphic structure for which higher-resolution delineation of the shallow aquifers can be constructed to determine potential pathways of PFAS contamination in groundwater to off-site drinking water wells in areas adjacent to JBMDL.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191134","collaboration":"Prepared in cooperation with the U.S. Air Force","usgsCitation":"Fiore, A.R., 2020, Regional hydrostratigraphic framework of Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey, in the context of perfluoroalkyl substances contamination of groundwater and surface water: U.S. Geological Survey Open-File Report 2019–1134, 42 p., https://doi.org/10.3133/ofr20191134.","productDescription":"Report: viii, 42 p.; 12 Plates: 30 x 24 inches; 2 Tables","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-107327","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":375120,"rank":8,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate06.pdf","text":"Plate 6","size":"1.87 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Map of the top of the confined portion of the Vincentown aquifer, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375125,"rank":13,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate11.pdf","text":"Plate 11","size":"533 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Sections F-F’ through I-I’, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375113,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1134/coverthb.jpg"},{"id":375114,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134.pdf","text":"Report","size":"9.75 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1134"},{"id":375115,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate01.pdf","text":"Plate 1","size":"1.21 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Map of well locations and outcrop areas of hydrostratigraphic units, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375116,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate02.pdf","text":"Plate 2","size":"1.42 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Map of the bottom of the Kirkwood-Cohansey aquifer system, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375117,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate03.pdf","text":"Plate 3","size":"1.20 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Map of the top of semiconfining subunits within the Kirkwood-Cohansey aquifer system, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375122,"rank":10,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate08.pdf","text":"Plate 8","size":"1.88 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Map of the bottom of the unconfined portion of the Vincentown aquifer, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375123,"rank":11,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate09.pdf","text":"Plate 9","size":"2.04 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Map of the bottom of the Navesink-Hornerstown confining unit, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375124,"rank":12,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate10.pdf","text":"Plate 10","size":"588 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Sections A-A’ through E-E’, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375127,"rank":15,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_table03.xlsx","text":"Table 3","size":"23.2 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Wells used to develop a hydrostratigraphic framework, and interpreted aquifer structure points, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey (Preferred method to view file)"},{"id":375128,"rank":16,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_table03.csv","text":"Table 3","size":"10.2 KB","linkFileType":{"id":7,"text":"csv"},"linkHelpText":"- Wells used to develop a hydrostratigraphic framework, and interpreted aquifer structure points, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375118,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate04.pdf","text":"Plate 4","size":"1.48 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Map of the thickness of semiconfining subunits within the Kirkwood-Cohansey aquifer system, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375119,"rank":7,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate05.pdf","text":"Plate 5","size":"1.18 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Map of the top of the Piney Point aquifer, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375121,"rank":9,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate07.pdf","text":"Plate 7","size":"755 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Map of the thickness of the confined portion of the Vincentown aquifer, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375126,"rank":14,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate12.pdf","text":"Plate 12","size":"409 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Sections J-J’ through L-L’, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"}],"country":"United States","state":"New Jersey","otherGeospatial":"Joint Base McGuire-Dix-Lakehurst","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.74822998046875,\n 39.886557705928475\n ],\n [\n -74.25796508789062,\n 39.886557705928475\n ],\n [\n -74.25796508789062,\n 40.11799004890473\n ],\n [\n -74.74822998046875,\n 40.11799004890473\n ],\n [\n -74.74822998046875,\n 39.886557705928475\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648