This report summarizes the results of three-dimensional (3-D) resistivity inversion simulations that were performed to account for local 3-D distortion of the electric field in the presence of 3-D regional structure, without any a priori information on the actual 3-D distribution of the known subsurface geology. The methodology used a 3-D geologic model to create a 3-D resistivity forward (“known”) model that depicted the subsurface resistivity structure expected for the input geologic configuration. The calculated magnetotelluric response of the modeled resistivity structure was assumed to represent observed magnetotelluric data and was subsequently used as input into a 3-D resistivity inverse model that used an iterative 3-D algorithm to estimate 3-D distortions without any a priori geologic information. A publicly available inversion code, WSINV3DMT, was used for all of the simulated inversions, initially using the default parameters, and subsequently using adjusted inversion parameters. A semiautomatic approach of accounting for the static shift using various selections of the highest frequencies and initial models was also tested. The resulting 3-D resistivity inversion simulation was compared to the “known” model and the results evaluated. The inversion approach that produced the lowest misfit to the various local 3-D distortions was an inversion that employed an initial model volume resistivity that was nearest to the maximum resistivities in the near-surface layer.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171007","usgsCitation":"Rodriguez, B.D., 2017, Semiautomatic approaches to account for 3-D distortion of the electric field from local, near-surface structures in 3-D resistivity inversions of 3-D regional magnetotelluric data: U.S. Geological Survey Open-File Report 2017–1007, 25 p., https://doi.org/10.3133/ofr20171007.","productDescription":"iii, 25 p.","numberOfPages":"29","onlineOnly":"Y","ipdsId":"IP-068212","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":338862,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1007/coverthb.jpg"},{"id":338863,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1007/ofr20171007.pdf","text":"Report","size":"20.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1007"}],"contact":"Director, Crustal Geophysics and Geochemistry Science Center
U.S. Geological Survey
Box 25046, MS 964
Denver, CO 80225
This report summarizes reconnaissance sedimentologic and stratigraphic observations made during six days of helicopter-supported fieldwork in 2002 on Tertiary sedimentary rocks exposed in the upland region around the flanks of the Yukon Flats basin in east-central Alaska (fig. 1). This project was a cooperative effort between the Alaska Division of Geological & Geophysical Surveys (DGGS) and the U.S. Geological Survey (USGS) to investigate the geology of the basin in preparation for an assessment of the undiscovered, technically recoverable hydrocarbon resources (Stanley and others, 2004). Field observations and interpretations summarized in this report are reconnaissance level. At most, no more than a few hours were spent on the ground at any location. Measured sections included in this report are sketch sec- tions and thicknesses shown are approximate. Relatively detailed observations were made by the authors at only three locations, including The Mudbank (Hodzana River), Rampart (east bank of the Yukon River), and Bryant Creek (along the Tintina fault near the Canada border). These three locations are described first in relative detail, then followed by general descriptions of other locations.
","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys","doi":"10.14509/29700","usgsCitation":"LePain, D.L., and Stanley, R.G., 2017, Reconnaissance sedimentology of selected tertiary exposures in the upland region bordering the Yukon Flats basin, east-central Alaska: Preliminary Interpretive Report 2016-6, vi, 14 p., https://doi.org/10.14509/29700.","productDescription":"vi, 14 p.","ipdsId":"IP-079523","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":469978,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/29700","text":"Publisher Index Page"},{"id":340755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.06103515624997,\n 66.86108230224609\n ],\n [\n -153.896484375,\n 63.73390885572919\n ],\n [\n -141.08642578125,\n 65.22910188319217\n ],\n [\n -142.93212890625,\n 68.13885164925573\n ],\n [\n -155.06103515624997,\n 66.86108230224609\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"590aec49e4b0fc4e4492aba5","contributors":{"authors":[{"text":"LePain, David L.","contributorId":191714,"corporation":false,"usgs":false,"family":"LePain","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":693953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":693952,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70186176,"text":"70186176 - 2017 - A model integrating longshore and cross-shore processes for predicting long-term shoreline response to climate change","interactions":[],"lastModifiedDate":"2017-05-15T17:22:51","indexId":"70186176","displayToPublicDate":"2017-03-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"A model integrating longshore and cross-shore processes for predicting long-term shoreline response to climate change","docAbstract":"We present a shoreline change model for coastal hazard assessment and management planning. The model, CoSMoS-COAST (Coastal One-line Assimilated Simulation Tool), is a transect-based, one-line model that predicts short-term and long-term shoreline response to climate change in the 21st century. The proposed model represents a novel, modular synthesis of process-based models of coastline evolution due to longshore and cross-shore transport by waves and sea-level rise. Additionally, the model uses an extended Kalman filter for data assimilation of historical shoreline positions to improve estimates of model parameters and thereby improve confidence in long-term predictions. We apply CoSMoS-COAST to simulate sandy shoreline evolution along 500 km of coastline in Southern California, which hosts complex mixtures of beach settings variably backed by dunes, bluffs, cliffs, estuaries, river mouths, and urban infrastructure, providing applicability of the model to virtually any coastal setting. Aided by data assimilation, the model is able to reproduce the observed signal of seasonal shoreline change for the hindcast period of 1995-2010, showing excellent agreement between modeled and observed beach states. The skill of the model during the hindcast period improves confidence in the model's predictive capability when applied to the forecast period (2010-2100) driven by GCM-projected wave and sea-level conditions. Predictions of shoreline change with limited human intervention indicate that 31% to 67% of Southern California beaches may become completely eroded by 2100 under sea-level rise scenarios of 0.93 to 2.0 m.
","language":"English","publisher":"Wiley","doi":"10.1002/2016JF004065","usgsCitation":"Vitousek, S., Barnard, P., Limber, P.W., Erikson, L.H., and Cole, B., 2017, A model integrating longshore and cross-shore processes for predicting long-term shoreline response to climate change: Journal of Geophysical Research F: Earth Surface, v. 122, no. 4, p. 782-806, https://doi.org/10.1002/2016JF004065.","productDescription":"25 p.","startPage":"782","endPage":"806","ipdsId":"IP-079262","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":338922,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"122","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-06","publicationStatus":"PW","scienceBaseUri":"58df6abfe4b02ff32c6aea27","contributors":{"authors":[{"text":"Vitousek, Sean","contributorId":190192,"corporation":false,"usgs":false,"family":"Vitousek","given":"Sean","affiliations":[],"preferred":false,"id":687761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":687760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Limber, Patrick W. 0000-0002-8207-3750 plimber@usgs.gov","orcid":"https://orcid.org/0000-0002-8207-3750","contributorId":5773,"corporation":false,"usgs":true,"family":"Limber","given":"Patrick","email":"plimber@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":687762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":687763,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cole, Blake","contributorId":190193,"corporation":false,"usgs":false,"family":"Cole","given":"Blake","email":"","affiliations":[],"preferred":false,"id":687764,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189463,"text":"70189463 - 2017 - A global threats overview for Numeniini populations: synthesising expert knowledge for a group of declining migratory birds.","interactions":[],"lastModifiedDate":"2018-01-07T16:57:34","indexId":"70189463","displayToPublicDate":"2017-03-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1048,"text":"Bird Conservation International","active":true,"publicationSubtype":{"id":10}},"title":"A global threats overview for Numeniini populations: synthesising expert knowledge for a group of declining migratory birds.","docAbstract":"The Numeniini is a tribe of 13 wader species (Scolopacidae, Charadriiformes) of which seven are Near Threatened or globally threatened, including two Critically Endangered. To help inform conservation management and policy responses, we present the results of an expert assessment of the threats that members of this taxonomic group face across migratory flyways. Most threats are increasing in intensity, particularly in non-breeding areas, where habitat loss resulting from residential and commercial development, aquaculture, mining, transport, disturbance, problematic invasive species, pollution and climate change were regarded as having the greatest detrimental impact. Fewer threats (mining, disturbance, problematic native species and climate change) were identified as widely affecting breeding areas. Numeniini populations face the greatest number of non-breeding threats in the East Asian-Australasian Flyway, especially those associated with coastal reclamation; related threats were also identified across the Central and Atlantic Americas, and East Atlantic flyways. Threats on the breeding grounds were greatest in Central and Atlantic Americas, East Atlantic and West Asian flyways. Three priority actions were associated with monitoring and research: to monitor breeding population trends (which for species breeding in remote areas may best be achieved through surveys at key non-breeding sites), to deploy tracking technologies to identify migratory connectivity, and to monitor land-cover change across breeding and non-breeding areas. Two priority actions were focused on conservation and policy responses: to identify and effectively protect key non-breeding sites across all flyways (particularly in the East Asian- Australasian Flyway), and to implement successful conservation interventions at a sufficient scale across human-dominated landscapes for species' recovery to be achieved. If implemented urgently, these measures in combination have the potential to alter the current population declines of many Numeniini species and provide a template for the conservation of other groups of threatened species.","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0959270916000678","usgsCitation":"Pearce-Higgins, J.W., Brown, D.J., Douglas, D.J., Alves, J., Bellio, M., Bocher, P., Buchannan, G.M., Clay, R.P., Conklin, J.R., Crockford, N., Dann, P., Elts, J., Friis, C., Fuller, R., Gill, J.A., Gosbell, K., Johnson, J., Marquez-Ferrando, R., Masero, J.A., Melville, D.S., Millington, S., Minton, C., Mundkur, T., Nol, E., Pehlak, H., Piersma, T., Rogers, D.I., Ruthrauff, D.R., Senner, N.R., Nazeer Shah, J., Sheldon, R.D., Soloviev, S.A., Tomkovich, P.S., and Verkuil, Y.I., 2017, A global threats overview for Numeniini populations: synthesising expert knowledge for a group of declining migratory birds.: Bird Conservation International, v. 27, no. 1, p. 6-34, https://doi.org/10.1017/S0959270916000678.","productDescription":"29 p. ","startPage":"6","endPage":"34","ipdsId":"IP-070889","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":461679,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/s0959270916000678","text":"Publisher Index Page"},{"id":343797,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-01","publicationStatus":"PW","scienceBaseUri":"5968869fe4b0d1f9f05f5985","contributors":{"authors":[{"text":"Pearce-Higgins, James W.","contributorId":194587,"corporation":false,"usgs":false,"family":"Pearce-Higgins","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":704748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Daniel J.","contributorId":194590,"corporation":false,"usgs":false,"family":"Brown","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":704749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David J.T.","contributorId":194591,"corporation":false,"usgs":false,"family":"Douglas","given":"David","email":"","middleInitial":"J.T.","affiliations":[],"preferred":false,"id":704750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alves, José A.","contributorId":89044,"corporation":false,"usgs":false,"family":"Alves","given":"José A.","affiliations":[],"preferred":false,"id":704751,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bellio, Mariagrazia","contributorId":194594,"corporation":false,"usgs":false,"family":"Bellio","given":"Mariagrazia","email":"","affiliations":[],"preferred":false,"id":704752,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bocher, Pierrick","contributorId":194596,"corporation":false,"usgs":false,"family":"Bocher","given":"Pierrick","email":"","affiliations":[],"preferred":false,"id":704753,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Buchannan, Graeme M.","contributorId":194598,"corporation":false,"usgs":false,"family":"Buchannan","given":"Graeme","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":704754,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Clay, Rob","contributorId":146618,"corporation":false,"usgs":false,"family":"Clay","given":"Rob","affiliations":[],"preferred":false,"id":704755,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Conklin, Jesse R.","contributorId":169340,"corporation":false,"usgs":false,"family":"Conklin","given":"Jesse","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":704756,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Crockford, Nicola","contributorId":194601,"corporation":false,"usgs":false,"family":"Crockford","given":"Nicola","email":"","affiliations":[],"preferred":false,"id":704757,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dann, Peter","contributorId":194603,"corporation":false,"usgs":false,"family":"Dann","given":"Peter","email":"","affiliations":[],"preferred":false,"id":704758,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Elts, Jaanus","contributorId":174463,"corporation":false,"usgs":false,"family":"Elts","given":"Jaanus","email":"","affiliations":[],"preferred":false,"id":704759,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Friis, Christian","contributorId":194605,"corporation":false,"usgs":false,"family":"Friis","given":"Christian","email":"","affiliations":[],"preferred":false,"id":704760,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Fuller, Richard A. 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Clive","contributorId":169354,"corporation":false,"usgs":false,"family":"Minton","given":"Clive","affiliations":[],"preferred":false,"id":704769,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Mundkur, Taej","contributorId":107843,"corporation":false,"usgs":true,"family":"Mundkur","given":"Taej","affiliations":[],"preferred":false,"id":704770,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Nol, Erika","contributorId":194614,"corporation":false,"usgs":false,"family":"Nol","given":"Erika","email":"","affiliations":[],"preferred":false,"id":704771,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Pehlak, Hannes","contributorId":194616,"corporation":false,"usgs":false,"family":"Pehlak","given":"Hannes","email":"","affiliations":[],"preferred":false,"id":704772,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Piersma, Theunis","contributorId":45863,"corporation":false,"usgs":true,"family":"Piersma","given":"Theunis","affiliations":[],"preferred":false,"id":704773,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Rogers, Danny I.","contributorId":194618,"corporation":false,"usgs":false,"family":"Rogers","given":"Danny","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":704774,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":704707,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Senner, Nathan R.","contributorId":140465,"corporation":false,"usgs":false,"family":"Senner","given":"Nathan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":704775,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Nazeer Shah, Junid","contributorId":131151,"corporation":false,"usgs":false,"family":"Nazeer Shah","given":"Junid","email":"","affiliations":[],"preferred":false,"id":704776,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Sheldon, Rob D.","contributorId":194619,"corporation":false,"usgs":false,"family":"Sheldon","given":"Rob","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":704777,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Soloviev, Sergej A.","contributorId":194620,"corporation":false,"usgs":false,"family":"Soloviev","given":"Sergej","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":704778,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Tomkovich, Pavel S.","contributorId":55333,"corporation":false,"usgs":false,"family":"Tomkovich","given":"Pavel","email":"","middleInitial":"S.","affiliations":[{"id":6930,"text":"Zoological Museum of Moscow, MV Lomonosov University, Moscow, Russia","active":true,"usgs":false}],"preferred":false,"id":704779,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Verkuil, Yvonne I.","contributorId":194622,"corporation":false,"usgs":false,"family":"Verkuil","given":"Yvonne","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":704780,"contributorType":{"id":1,"text":"Authors"},"rank":34}]}} ,{"id":70190184,"text":"70190184 - 2017 - Quantifying acoustic doppler current profiler discharge uncertainty: A Monte Carlo based tool for moving-boat measurements","interactions":[],"lastModifiedDate":"2017-08-23T10:10:56","indexId":"70190184","displayToPublicDate":"2017-03-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Quantifying acoustic doppler current profiler discharge uncertainty: A Monte Carlo based tool for moving-boat measurements","docAbstract":"This paper presents a method using Monte Carlo simulations for assessing uncertainty of moving-boat acoustic Doppler current profiler (ADCP) discharge measurements using a software tool known as QUant, which was developed for this purpose. Analysis was performed on 10 data sets from four Water Survey of Canada gauging stations in order to evaluate the relative contribution of a range of error sources to the total estimated uncertainty. The factors that differed among data sets included the fraction of unmeasured discharge relative to the total discharge, flow nonuniformity, and operator decisions about instrument programming and measurement cross section. As anticipated, it was found that the estimated uncertainty is dominated by uncertainty of the discharge in the unmeasured areas, highlighting the importance of appropriate selection of the site, the instrument, and the user inputs required to estimate the unmeasured discharge. The main contributor to uncertainty was invalid data, but spatial inhomogeneity in water velocity and bottom-track velocity also contributed, as did variation in the edge velocity, uncertainty in the edge distances, edge coefficients, and the top and bottom extrapolation methods. To a lesser extent, spatial inhomogeneity in the bottom depth also contributed to the total uncertainty, as did uncertainty in the ADCP draft at shallow sites. The estimated uncertainties from QUant can be used to assess the adequacy of standard operating procedures. They also provide quantitative feedback to the ADCP operators about the quality of their measurements, indicating which parameters are contributing most to uncertainty, and perhaps even highlighting ways in which uncertainty can be reduced. Additionally, QUant can be used to account for self-dependent error sources such as heading errors, which are a function of heading. The results demonstrate the importance of a Monte Carlo method tool such as QUant for quantifying random and bias errors when evaluating the uncertainty of moving-boat ADCP measurements.
A partnership established between the European Space Agency (ESA) and the U.S. Geological Survey (USGS) allows for USGS storage and redistribution of images acquired by the MultiSpectral Instrument (MSI) on the European Union's Sentinel-2 satellite mission. The MSI data are acquired from a pair of satellites, Sentinel-2A and Sentinel-2B, which are part of a larger set of ESA missions focusing on different aspects of Earth observation. The primary purpose of the Sentinel-2 series is to collect multispectral imagery over the Earth’s land surfaces, large islands, and inland and coastal waters. Sentinel-2A was launched in 2015 and Sentinel-2B launched in 2017.
The collaborative effort between ESA and USGS provides for public access and redistribution of global acquisitions of Sentinel-2 data at no cost, which allows users to download the MSI imagery from USGS access systems such as Earth- Explorer, in addition to the ESA Sentinels Scientific Data Hub. The MSI sensor acquires 13 spectral bands that are highly complementary to data acquired by the USGS Landsat 8 Operational Land Imager (OLI) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+). The product options from USGS include a Full-Resolution Browse (FRB) image product generated by USGS, along with a 100-kilometer (km) by 100-km tile-based Level-1C top-of-atmosphere (TOA) reflectance product that is very similar (but not identical) to the currently (2017) distributed ESA Level 1C product.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173026","usgsCitation":"Pieschke, R.L., 2017, U.S. Geological Survey distribution of European Space Agency's Sentinel-2 data: U.S. Geological Survey Fact Sheet 2017–3026, 2 p., https://doi.org/10.3133/fs20173026.\n","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-082585","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":338860,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3026/fs20173026.pdf","text":"Fact Sheet","size":"1.54 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017–3026"},{"id":338859,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3026/coverthb.jpg"}],"contact":"Director, Earth Resources Observation and Science (EROS) Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198–0001
This report primarily addresses the first two purposes of the review while providing comments on the third as identified by the science review team (SRT). A separate report of recommendations for the recompetition, based upon compiled observation from all three reviews conducted in 2016, was submitted to NCCWSC on April 15, 2016 to assist with the development of recompetition documents. To further address host-university administrative competencies and efficiencies, separate interviews of host-university faculty and administrators were conducted by NCCWSC staff in conjunction with the on-site component of the reviews.
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\"}}]}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"590aec49e4b0fc4e4492aba7","contributors":{"authors":[{"text":"Shasby, Mark shasbym@usgs.gov","contributorId":223,"corporation":false,"usgs":true,"family":"Shasby","given":"Mark","email":"shasbym@usgs.gov","affiliations":[],"preferred":false,"id":694021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dolloff, C. Andrew","contributorId":97405,"corporation":false,"usgs":true,"family":"Dolloff","given":"C.","email":"","middleInitial":"Andrew","affiliations":[],"preferred":false,"id":694022,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hicke, Jeffrey A.","contributorId":87832,"corporation":false,"usgs":true,"family":"Hicke","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":694023,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marcot, Bruce G.","contributorId":152612,"corporation":false,"usgs":false,"family":"Marcot","given":"Bruce","email":"","middleInitial":"G.","affiliations":[{"id":18944,"text":"Pacific Northwest Research Station, USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":694024,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCarl, Bruce","contributorId":51645,"corporation":false,"usgs":true,"family":"McCarl","given":"Bruce","affiliations":[],"preferred":false,"id":694025,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McMahon, Gerard 0000-0001-7675-777X gmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7675-777X","contributorId":191488,"corporation":false,"usgs":true,"family":"McMahon","given":"Gerard","email":"gmcmahon@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":693238,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morton, John M.","contributorId":17097,"corporation":false,"usgs":true,"family":"Morton","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":694026,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70186216,"text":"70186216 - 2017 - Long-term spatial heterogeneity in mallard distribution in the Prairie pothole region","interactions":[],"lastModifiedDate":"2017-03-31T15:21:45","indexId":"70186216","displayToPublicDate":"2017-03-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Long-term spatial heterogeneity in mallard distribution in the Prairie pothole region","docAbstract":"The Prairie Pothole Region (PPR) of north-central United States and south-central Canada supports greater than half of all breeding mallards (Anas platyrhynchos) annually counted in North America and is the focus of widespread conservation and research efforts. Allocation of conservation resources for this socioeconomically important population would benefit from an understanding of the nature of spatiotemporal variation in distribution of breeding mallards throughout the 850,000 km2 landscape. We used mallard counts from the Waterfowl Breeding Population and Habitat Survey to test for spatial heterogeneity and identify high- and low-abundance regions of breeding mallards over a 50-year time series. We found strong annual spatial heterogeneity in all years: 90% of mallards counted annually were on an average of only 15% of surveyed segments. Using a local indicator of spatial autocorrelation, we found a relatively static distribution of low-count clusters in northern Montana, USA, and southern Alberta, Canada, and a dynamic distribution of high-count clusters throughout the study period. Distribution of high-count clusters shifted southeast from northwestern portions of the PPR in Alberta and western Saskatchewan, Canada, to North and South Dakota, USA, during the latter half of the study period. This spatial redistribution of core mallard breeding populations was likely driven by interactions between environmental variation that created favorable hydrological conditions for wetlands in the eastern PPR and dynamic land-use patterns related to upland cropping practices and government land-retirement programs. Our results highlight an opportunity for prioritizing relatively small regions within the PPR for allocation of wetland and grassland conservation for mallard populations. However, the extensive spatial heterogeneity in core distributions over our study period suggests such spatial prioritization will have to overcome challenges presented by dynamic land-use and climate patterns in the region, and thus merits additional monitoring and empirical research to anticipate future population distribution. Published 2017. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"Wiley","doi":"10.1002/wsb.747","usgsCitation":"Janke, A.K., Anteau, M.J., and Stafford, J.D., 2017, Long-term spatial heterogeneity in mallard distribution in the Prairie pothole region: Wildlife Society Bulletin, v. 41, no. 1, p. 116-124, https://doi.org/10.1002/wsb.747.","productDescription":"9 p.","startPage":"116","endPage":"124","ipdsId":"IP-066605","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469979,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/208","text":"External Repository"},{"id":338982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"41","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-22","publicationStatus":"PW","scienceBaseUri":"58df6abee4b02ff32c6aea25","contributors":{"authors":[{"text":"Janke, Adam K. 0000-0003-2781-7857","orcid":"https://orcid.org/0000-0003-2781-7857","contributorId":130959,"corporation":false,"usgs":false,"family":"Janke","given":"Adam","email":"","middleInitial":"K.","affiliations":[{"id":7176,"text":"Dept of Natl Res Mgmt, SDSU, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":687899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":687903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stafford, Joshua D. jstafford@usgs.gov","contributorId":4267,"corporation":false,"usgs":true,"family":"Stafford","given":"Joshua","email":"jstafford@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":687904,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70186039,"text":"70186039 - 2017 - Veligers of the invasive Asian clam Corbicula fluminea in the Columbia River Basin: Broadscale distribution, abundance, and ecological associations","interactions":[],"lastModifiedDate":"2017-09-18T15:46:35","indexId":"70186039","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Veligers of the invasive Asian clam Corbicula fluminea in the Columbia River Basin: Broadscale distribution, abundance, and ecological associations","docAbstract":"The invasive Asian clam Corbicula fluminea was introduced to North America in the 1930s and now inhabits most regions of the conterminous United States; however, the distribution and ecology of C. fluminea in the Columbia River Basin is poorly understood. During 2013 and 2014, 5 Columbia-Snake River reservoirs were sampled monthly from May through September, along with 23 additional lakes and reservoirs sampled once each summer. Associations among C. fluminea veligers, other components of the plankton, and environmental variables were analyzed using non-metric multidimensional scaling and canonical correspondence analysis. Corbicula fluminea veligers were found in high abundances in all mainstem Columbia-Snake River reservoirs, with an annual mean abundance of 71.2 individuals per cubic meter (inds./m3). Only 3 of 23 lakes and (non-mainstem) reservoirs contained C. fluminea, with abundances considerably lower (maximum = 21.2 inds./m3) than in the mainstem reservoirs. A diatom-dominated community preceded the spawning of C. fluminea in early summer at all sites. Corbicula fluminea veligers characterized the plankton community in late summer and were associated with cyanobacteria and high water temperatures. A third community, characterized by cyanobacteria, was apparent in non-mainstem sites in July and August. Our analyses describe the relationship of C. fluminea to the plankton community and environment, which contributes to our understanding of the possible effects of C. fluminea infestations and which waterbodies in the Columbia River Basin are at risk for infestation. Understanding the effects and environmental determinants of invasive mollusks will be increasingly important in the future with the possible arrival of zebra (Dreissena polymorpha) or quagga (D. bugensis) mussels to the region.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2017.1294218","usgsCitation":"Hassett, W., Bollens, S.M., Counihan, T.D., Rollwagen-Bollens, G., Zimmerman, J., and Emerson, J.E., 2017, Veligers of the invasive Asian clam Corbicula fluminea in the Columbia River Basin: Broadscale distribution, abundance, and ecological associations: Lake and Reservoir Management, v. 33, no. 3, p. 234-248, https://doi.org/10.1080/10402381.2017.1294218.","productDescription":"15 p.","startPage":"234","endPage":"248","ipdsId":"IP-072926","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":338810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-24","publicationStatus":"PW","scienceBaseUri":"58de194ae4b02ff32c699c7b","contributors":{"authors":[{"text":"Hassett, Whitney","contributorId":190161,"corporation":false,"usgs":false,"family":"Hassett","given":"Whitney","email":"","affiliations":[],"preferred":false,"id":687434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bollens, Stephen M. 0000-0001-9214-9037","orcid":"https://orcid.org/0000-0001-9214-9037","contributorId":148958,"corporation":false,"usgs":false,"family":"Bollens","given":"Stephen","email":"","middleInitial":"M.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":687435,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Counihan, Timothy D. 0000-0003-4967-6514 tcounihan@usgs.gov","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":4211,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy","email":"tcounihan@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":687433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rollwagen-Bollens, Gretchen","contributorId":190162,"corporation":false,"usgs":false,"family":"Rollwagen-Bollens","given":"Gretchen","email":"","affiliations":[],"preferred":false,"id":687436,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zimmerman, Julie","contributorId":190163,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Julie","affiliations":[],"preferred":false,"id":687437,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Emerson, Joshua E.","contributorId":148957,"corporation":false,"usgs":false,"family":"Emerson","given":"Joshua","email":"","middleInitial":"E.","affiliations":[{"id":17602,"text":"School of the Environment, Washington State University, Vancouver, WA 98686","active":true,"usgs":false}],"preferred":false,"id":687438,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70186019,"text":"70186019 - 2017 - Spatial and temporal relationships between the invasive snail Bithynia tentaculata and submersed aquatic vegetation in Pool 8 of the Upper Mississippi River","interactions":[],"lastModifiedDate":"2017-06-07T10:23:14","indexId":"70186019","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal relationships between the invasive snail Bithynia tentaculata and submersed aquatic vegetation in Pool 8 of the Upper Mississippi River","docAbstract":"Bithynia tentaculata is an invasive snail that was first reported in Lake Michigan in 1871 and has since spread throughout a number of freshwater systems of the USA. This invasion has been extremely problematic in the Upper Mississippi River as the snails serve as intermediate hosts for several trematode parasites that have been associated with waterfowl mortality in the region. This study was designed to assess the abundance and distribution of B. tentaculata relative to submersed aquatic vegetation as macrophytes provide important nesting and food resources for migrating waterfowl. Temporal changes in both vegetation and snail densities were compared between 2007 and 2015. Between these years, B. tentaculata densities have nearly quadrupled despite minor changes in vegetation abundance, distribution and composition. Understanding the spatial distribution of B. tentaculata in relation to other habitat features, including submersed vegetation, and quantifying any further changes in the abundance and distribution of B. tentaculata over time will be important for better identifying areas of risk for disease transmission to waterfowl.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3123","usgsCitation":"Weeks, A.M., De Jager, N.R., Haro, R.J., and Sandland, G., 2017, Spatial and temporal relationships between the invasive snail Bithynia tentaculata and submersed aquatic vegetation in Pool 8 of the Upper Mississippi River: River Research and Applications, v. 33, no. 5, p. 729-739, https://doi.org/10.1002/rra.3123.","productDescription":"11 p.","startPage":"729","endPage":"739","ipdsId":"IP-079774","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":338845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de194ce4b02ff32c699c87","contributors":{"authors":[{"text":"Weeks, Alicia M.","contributorId":190136,"corporation":false,"usgs":false,"family":"Weeks","given":"Alicia","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":687360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haro, Roger J.","contributorId":139538,"corporation":false,"usgs":false,"family":"Haro","given":"Roger","email":"","middleInitial":"J.","affiliations":[{"id":12793,"text":"University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":687361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sandland, Greg J.","contributorId":190137,"corporation":false,"usgs":false,"family":"Sandland","given":"Greg J.","affiliations":[],"preferred":false,"id":687362,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70186023,"text":"70186023 - 2017 - Lethal and sub-lethal responses of native freshwater mussels exposed to granular Bayluscide®, a sea lamprey larvicide","interactions":[],"lastModifiedDate":"2017-03-30T12:35:48","indexId":"70186023","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Lethal and sub-lethal responses of native freshwater mussels exposed to granular Bayluscide®, a sea lamprey larvicide","docAbstract":"The invasive sea lamprey (Petromyzon marinus) poses a substantial threat to fish communities in the Great Lakes. Efforts to control sea lamprey populations typically involve treating tributary streams with lampricides on a recurring cycle. The presence of a substantial population of larval sea lampreys in the aquatic corridor between Lakes Huron and Erie prompted managers to propose a treatment using the granular formulation of Bayluscide® that targets larval sea lampreys that reside in sediments. However, these treatments could cause adverse effects on native freshwater mussels—imperiled animals that also reside in sediments. We estimated the risk of mortality and sub-lethal effects among eight species of adult and sub-adult mussels exposed to Bayluscide® for durations up to 8 h to mimic field applications. Mortality was appreciable in some species, especially in sub-adults (range, 23–51%). The lethal and sub-lethal effects were positively associated with the duration of exposure in most species and life stage combinations. Estimates of the median time of exposure that resulted in lethal and sub-lethal effects suggest that sub-adults were often affected by Bayluscide® earlier than adults. Siphoning activity and burrowing position of mussels during exposure may have moderated the uptake of Bayluscide® and may have influenced lethal and sub-lethal responses. Given that the various species and life stages were differentially affected, it will be difficult to predict the effects of Bayluscide® treatments on mussels.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2016.12.010","usgsCitation":"Newton, T., Boogaard, M.A., Gray, B.R., Hubert, T.D., and Schloesser, N.A., 2017, Lethal and sub-lethal responses of native freshwater mussels exposed to granular Bayluscide®, a sea lamprey larvicide: Journal of Great Lakes Research, v. 43, no. 2, p. 370-378, https://doi.org/10.1016/j.jglr.2016.12.010.","productDescription":"9 p.","startPage":"370","endPage":"378","ipdsId":"IP-079287","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":338824,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de194ce4b02ff32c699c85","contributors":{"authors":[{"text":"Newton, Teresa 0000-0001-9351-5852 tnewton@usgs.gov","orcid":"https://orcid.org/0000-0001-9351-5852","contributorId":150098,"corporation":false,"usgs":true,"family":"Newton","given":"Teresa","email":"tnewton@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boogaard, Michael A. 0000-0002-5192-8437 mboogaard@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-8437","contributorId":865,"corporation":false,"usgs":true,"family":"Boogaard","given":"Michael","email":"mboogaard@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Brian R. 0000-0001-7682-9550 brgray@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":2615,"corporation":false,"usgs":true,"family":"Gray","given":"Brian","email":"brgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hubert, Terrance D. 0000-0001-9712-1738 thubert@usgs.gov","orcid":"https://orcid.org/0000-0001-9712-1738","contributorId":3036,"corporation":false,"usgs":true,"family":"Hubert","given":"Terrance","email":"thubert@usgs.gov","middleInitial":"D.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687374,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schloesser, Nicholas A. 0000-0002-3815-5302 nschloesser@usgs.gov","orcid":"https://orcid.org/0000-0002-3815-5302","contributorId":169551,"corporation":false,"usgs":false,"family":"Schloesser","given":"Nicholas","email":"nschloesser@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687375,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70186040,"text":"70186040 - 2017 - Species composition, timing, and weather correlates of autumn open-water crossings by raptors migrating along the East-Asian Oceanic Flyway","interactions":[],"lastModifiedDate":"2017-11-22T17:03:36","indexId":"70186040","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Species composition, timing, and weather correlates of autumn open-water crossings by raptors migrating along the East-Asian Oceanic Flyway","docAbstract":"Raptor migration rarely involves long-distance movements across open oceans. One exception occurs along the East-Asian Oceanic Flyway. We collected migration data at two terrestrial hawkwatch sites along this flyway to better understand open-ocean movements along this largely overwater corridor. At the northern end of the Philippines, at Basco on the island of Batan, we recorded 7587 migratory raptors in autumn 2014. Near the southern end of the Philippines, at Cape San Agustin on the island of Mindanao, we recorded 27,399 raptors migrating in autumn 2012. Chinese Sparrowhawks (Accipiter soloensis) were the most common raptors observed, making up approximately 89% and 92% of total records for Basco and Cape San Agustin, respectively. The Grey-faced Buzzard (Butastur indicus) was the second most common raptor migrant, accounting for 8% of the total counts at both watch sites. The migration period was about 1–2 wk earlier at Basco, the more northerly site, than at Cape San Agustin. Overwater flights at Basco peaked in both the morning and late afternoon, whereas at Cape San Agustin there was only a morning peak. In general, the rate of migration passage at both sites was highest with clear skies when winds were blowing from the northwest. However, we observed interspecific differences in migration behavior at both sites, with Accipiters more likely to be observed with tailwinds and eastward winds, and Grey-faced Buzzards more likely observed with headwinds. These results help to characterize poorly known aspects of raptor biology and to identify potential migratory bottlenecks or key sites for raptor conservation in little-studied Philippine tropical ecosystems.
","language":"English","publisher":"The Raptor Research Foundation","doi":"10.3356/JRR-16-00001.1","usgsCitation":"Concepcion, C.B., Dumandan, P., Silvosa, M.R., Bildstein, K.L., and Katzner, T., 2017, Species composition, timing, and weather correlates of autumn open-water crossings by raptors migrating along the East-Asian Oceanic Flyway: Journal of Raptor Research, v. 51, no. 1, p. 25-37, https://doi.org/10.3356/JRR-16-00001.1.","productDescription":"13 p.","startPage":"25","endPage":"37","ipdsId":"IP-071451","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469982,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.3356/JRR-16-00001.1","text":"External Repository"},{"id":338780,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"East-Asian Oceanic Flyway","volume":"51","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de1949e4b02ff32c699c79","contributors":{"authors":[{"text":"Concepcion, Camille B.","contributorId":190164,"corporation":false,"usgs":false,"family":"Concepcion","given":"Camille","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":687440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dumandan, Patricia T.","contributorId":190165,"corporation":false,"usgs":false,"family":"Dumandan","given":"Patricia T.","affiliations":[],"preferred":false,"id":687441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Silvosa, Medel R.","contributorId":190166,"corporation":false,"usgs":false,"family":"Silvosa","given":"Medel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":687442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bildstein, Keith L.","contributorId":150854,"corporation":false,"usgs":false,"family":"Bildstein","given":"Keith","email":"","middleInitial":"L.","affiliations":[{"id":18119,"text":"Hawk Mountain Sanctuary, Acopian Center for Conservation Learning","active":true,"usgs":false}],"preferred":false,"id":687443,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":5979,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":687439,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70186013,"text":"70186013 - 2017 - Effects of food resources on the fatty acid composition, growth and survival of freshwater mussels","interactions":[],"lastModifiedDate":"2017-03-30T09:25:38","indexId":"70186013","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Effects of food resources on the fatty acid composition, growth and survival of freshwater mussels","docAbstract":"Increased nutrient and sediment loading in rivers have caused observable changes in algal community composition, and thereby, altered the quality and quantity of food resources available to native freshwater mussels. Our objective was to characterize the relationship between nutrient conditions and mussel food quality and examine the effects on fatty acid composition, growth and survival of juvenile mussels. Juvenile Lampsilis cardium and L. siliquoidea were deployed in cages for 28 d at four riverine and four lacustrine sites in the lower St. Croix River, Minnesota/Wisconsin, USA. Mussel foot tissue and food resources (four seston fractions and surficial sediment) were analyzed for quantitative fatty acid (FA) composition. Green algae were abundant in riverine sites, whereas cyanobacteria were most abundant in the lacustrine sites. Mussel survival was high (95%) for both species. Lampsilis cardium exhibited lower growth relative to L. siliquoidea (p <0.0001), but growth of L. cardium was not significantly different across sites (p = 0.13). In contrast, growth of L. siliquoidea was significantly greater at the most upstream riverine site compared to the lower three lacustrine sites (p = 0.002). In situ growth of Lampsilis siliquoidea was positively related to volatile solids (10 – 32 μm fraction), total phosphorus (<10 and 10 – 32 μm fractions), and select FA in the seston (docosapentaeonic acid, DPA, 22:5n3; 4,7,10,13,16-docosapentaenoic, 22:5n6; arachidonic acid, ARA, 20:4n6; and 24:0 in the <10 and 10 – 32 μm fractions). Our laboratory feeding experiment also indicated high accumulation ratios for 22:5n3, 22:5n6, and 20:4n6 in mussel tissue relative to supplied algal diet. In contrast, growth of L. siliquiodea was negatively related to nearly all FAs in the largest size fraction (i.e., >63 μm) of seston, including the bacterial FAs, and several of the FAs associated with sediments. Reduced mussel growth was observed in L. siliquoidea when the abundance of cyanobacteria exceeded 9% of the total phytoplankton biovolume. Areas dominated by cyanobacteria may not provide sufficient food quality to promote or sustain mussel growth.
","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0173419","usgsCitation":"Bartsch, M.R., Bartsch, L., Richardson, W.B., Vallazza, J.M., and Moraska Lafrancois, B., 2017, Effects of food resources on the fatty acid composition, growth and survival of freshwater mussels: PLoS ONE, v. 12, no. 3, e0173419; 26 p., https://doi.org/10.1371/journal.pone.0173419.","productDescription":"e0173419; 26 p.","ipdsId":"IP-080604","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":461682,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0173419","text":"Publisher Index Page"},{"id":338773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","otherGeospatial":"St. Croix River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.328857421875,\n 44.68818283842486\n ],\n [\n -91.4227294921875,\n 44.68818283842486\n ],\n [\n -91.4227294921875,\n 46.426499019253\n ],\n [\n -93.328857421875,\n 46.426499019253\n ],\n [\n -93.328857421875,\n 44.68818283842486\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-07","publicationStatus":"PW","scienceBaseUri":"58de194ce4b02ff32c699c8b","contributors":{"authors":[{"text":"Bartsch, Michelle R. 0000-0002-9571-5564 mbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-9571-5564","contributorId":149359,"corporation":false,"usgs":true,"family":"Bartsch","given":"Michelle","email":"mbartsch@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartsch, Lynn A. 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":149360,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn A.","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687346,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richardson, William B. 0000-0002-7471-4394 wrichardson@usgs.gov","orcid":"https://orcid.org/0000-0002-7471-4394","contributorId":3277,"corporation":false,"usgs":true,"family":"Richardson","given":"William","email":"wrichardson@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687347,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vallazza, Jonathan M. 0000-0003-2367-4887 jvallazza@usgs.gov","orcid":"https://orcid.org/0000-0003-2367-4887","contributorId":149362,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jonathan","email":"jvallazza@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687348,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moraska Lafrancois, Brenda","contributorId":190133,"corporation":false,"usgs":false,"family":"Moraska Lafrancois","given":"Brenda","email":"","affiliations":[],"preferred":false,"id":687349,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70186017,"text":"70186017 - 2017 - Effects of the biopesticide Zequanox® on reproduction and early development of the fathead minnow (Pimephales promelas)","interactions":[],"lastModifiedDate":"2017-03-30T15:24:17","indexId":"70186017","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Effects of the biopesticide Zequanox® on reproduction and early development of the fathead minnow (Pimephales promelas)","docAbstract":"The biopesticide, Zequanox®, is registered for dreissenid mussel control in open water systems in the United States. Previous toxicity trials with nontarget organisms, including several young-of-the-year fish species and invertebrates, demonstrated selectivity of Zequanox for dreissenid mussels, but data are lacking on the treatment-related effects on reproduction and early life stage development of fish. The present study evaluated the effects of Zequanox on spawning and early life stages of the fathead minnow, Pimephales promelas, after exposure to the maximum approved concentration [100 mg active ingredient (AI)/L] and exposure duration (8h) for open water application. The results showed no significant treatment-related effect of Zequanox on survival, condition, or cumulative egg production (21 d) in adult fathead minnow. Eggs (≤24 h old) exposed to Zequanox developed to the eyed-stage at a similar rate to that of untreated eggs. Additionally, Zequanox did not have a significant effect on survival and growth (90 d) of newly hatched larvae (≤24-h old). Zequanox may be an option for control of dreissenid mussels in localized open water habitats where concerns exist regarding reproduction and recruitment of cyprinids and related species.
","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","doi":"10.3391/mbi.2017.8.1.12","usgsCitation":"Waller, D.L., and Luoma, J.A., 2017, Effects of the biopesticide Zequanox® on reproduction and early development of the fathead minnow (Pimephales promelas): Management of Biological Invasions, v. 8, no. 1, p. 125-135, https://doi.org/10.3391/mbi.2017.8.1.12.","productDescription":"11 p.","startPage":"125","endPage":"135","ipdsId":"IP-079839","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":469983,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2017.8.1.12","text":"Publisher Index Page"},{"id":338846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de194ce4b02ff32c699c89","contributors":{"authors":[{"text":"Waller, Diane L. 0000-0002-6104-810X dwaller@usgs.gov","orcid":"https://orcid.org/0000-0002-6104-810X","contributorId":5272,"corporation":false,"usgs":true,"family":"Waller","given":"Diane","email":"dwaller@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":687357,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70186025,"text":"70186025 - 2017 - Full annual cycle climate change vulnerability assessment for migratory birds","interactions":[],"lastModifiedDate":"2017-03-30T12:19:21","indexId":"70186025","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Full annual cycle climate change vulnerability assessment for migratory birds","docAbstract":"Climate change is a serious challenge faced by all plant and animal species. Climate change vulnerability assessments (CCVAs) are one method to assess risk and are increasingly used as a tool to inform management plans. Migratory animals move across regions and continents during their annual cycles where they are exposed to diverse climatic conditions. Climate change during any period and in any region of the annual cycle could influence survival, reproduction, or the cues used to optimize timing of migration. Therefore, CCVAs for migratory animals best estimate risk when they include climate exposure during the entire annual cycle. We developed a CCVA incorporating the full annual cycle and applied this method to 46 species of migratory birds breeding in the Upper Midwest and Great Lakes (UMGL) region of the United States. Our methodology included background risk, climate change exposure × climate sensitivity, adaptive capacity to climate change, and indirect effects of climate change. We compiled information about migratory connectivity between breeding and stationary non-breeding areas using literature searches and U.S. Geological Survey banding and re-encounter data. Climate change exposure (temperature and moisture) was assessed using UMGL breeding season climate and winter climate from non-breeding regions for each species. Where possible, we focused on non-breeding regions known to be linked through migratory connectivity. We ranked 10 species as highly vulnerable to climate change and two as having low vulnerability. The remaining 34 species were ranked as moderately vulnerable. In general, including non-breeding data provided more robust results that were highly individualistic by species. Two species were found to be highly vulnerable throughout their annual cycle. Projected drying will have the greatest effect during the non-breeding season for species overwintering in Mexico and the Caribbean. Projected temperature increases will have the greatest effect during the breeding season in UMGL as well as during the non-breeding season for species overwintering in South America. We provide a model for adaptive management of migratory animals in the face of projected climate change, including identification of priority species, research needs, and regions within non-breeding ranges for potential conservation partnerships.
","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.1565","usgsCitation":"Culp, L.A., Cohen, E.B., Scarpignato, A.L., Thogmartin, W.E., and Marra, P.P., 2017, Full annual cycle climate change vulnerability assessment for migratory birds: Ecological Applications, v. 8, no. 3, e01565; 22 p., https://doi.org/10.1002/ecs2.1565.","productDescription":"e01565; 22 p.","ipdsId":"IP-078803","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":461685,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1565","text":"Publisher Index Page"},{"id":338822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"8","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-06","publicationStatus":"PW","scienceBaseUri":"58de194ce4b02ff32c699c83","contributors":{"authors":[{"text":"Culp, Leah A.","contributorId":190138,"corporation":false,"usgs":false,"family":"Culp","given":"Leah","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":687378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, Emily B.","contributorId":57774,"corporation":false,"usgs":false,"family":"Cohen","given":"Emily","email":"","middleInitial":"B.","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":687379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scarpignato, Amy L.","contributorId":190139,"corporation":false,"usgs":false,"family":"Scarpignato","given":"Amy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":687380,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":687377,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marra, Peter P.","contributorId":190140,"corporation":false,"usgs":false,"family":"Marra","given":"Peter","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":687381,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70186030,"text":"70186030 - 2017 - Simulating ungulate herbivory across forest landscapes: A browsing extension for LANDIS-II","interactions":[],"lastModifiedDate":"2017-03-30T11:53:37","indexId":"70186030","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Simulating ungulate herbivory across forest landscapes: A browsing extension for LANDIS-II","docAbstract":"Browsing ungulates alter forest productivity and vegetation succession through selective foraging on species that often dominate early succession. However, the long-term and large-scale effects of browsing on forest succession are not possible to project without the use of simulation models. To explore the effects of ungulates on succession in a spatially explicit manner, we developed a Browse Extension that simulates the effects of browsing ungulates on the growth and survival of plant species cohorts within the LANDIS-II spatially dynamic forest landscape simulation model framework. We demonstrate the capabilities of the new extension and explore the spatial effects of ungulates on forest composition and dynamics using two case studies. The first case study examined the long-term effects of persistently high white-tailed deer browsing rates in the northern hardwood forests of the Allegheny National Forest, USA. In the second case study, we incorporated a dynamic ungulate population model to simulate interactions between the moose population and boreal forest landscape of Isle Royale National Park, USA. In both model applications, browsing reduced total aboveground live biomass and caused shifts in forest composition. Simulations that included effects of browsing resulted in successional patterns that were more similar to those observed in the study regions compared to simulations that did not incorporate browsing effects. Further, model estimates of moose population density and available forage biomass were similar to previously published field estimates at Isle Royale and in other moose-boreal forest systems. Our simulations suggest that neglecting effects of browsing when modeling forest succession in ecosystems known to be influenced by ungulates may result in flawed predictions of aboveground biomass and tree species composition.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2017.01.014","usgsCitation":"De Jager, N.R., Drohan, P.J., Miranda, B.M., Sturtevant, B.R., Stout, S.L., Royo, A., Gustafson, E.J., and Romanski, M.C., 2017, Simulating ungulate herbivory across forest landscapes: A browsing extension for LANDIS-II: Ecological Modelling, v. 350, p. 11-29, https://doi.org/10.1016/j.ecolmodel.2017.01.014.","productDescription":"19 p.","startPage":"11","endPage":"29","ipdsId":"IP-076795","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":469980,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2017.01.014","text":"Publisher Index Page"},{"id":338815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"350","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de194be4b02ff32c699c7f","contributors":{"authors":[{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drohan, Patrick J.","contributorId":190141,"corporation":false,"usgs":false,"family":"Drohan","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":687395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miranda, Brian M.","contributorId":190142,"corporation":false,"usgs":false,"family":"Miranda","given":"Brian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":687396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sturtevant, Brian R.","contributorId":190143,"corporation":false,"usgs":false,"family":"Sturtevant","given":"Brian","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":687397,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stout, Susan L.","contributorId":190144,"corporation":false,"usgs":false,"family":"Stout","given":"Susan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":687398,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Royo, Alejandro","contributorId":190145,"corporation":false,"usgs":false,"family":"Royo","given":"Alejandro","email":"","affiliations":[],"preferred":false,"id":687399,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gustafson, Eric J.","contributorId":190146,"corporation":false,"usgs":false,"family":"Gustafson","given":"Eric","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":687400,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Romanski, Mark C.","contributorId":190147,"corporation":false,"usgs":false,"family":"Romanski","given":"Mark","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":687401,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70186031,"text":"70186031 - 2017 - Spatial and temporal dynamics of suspended particle characteristics and composition in Navigation Pool 19 of the Upper Mississippi River","interactions":[],"lastModifiedDate":"2017-07-10T16:20:01","indexId":"70186031","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal dynamics of suspended particle characteristics and composition in Navigation Pool 19 of the Upper Mississippi River","docAbstract":"Suspended particles are an essential component of large rivers influencing channel geomorphology, biogeochemical cycling of nutrients, and food web resources. The Upper Mississippi River is a large floodplain river that exhibits pronounced spatiotemporal variation in environmental conditions and biota, providing an ideal environment for investigating dynamics of suspended particles in large river ecosystems. Here we investigated two questions: (i) How do suspended particle characteristics (e.g. size and morphology) vary temporally and spatially? and (ii) What environmental variables have the strongest association with particle characteristics? Water sampling was conducted in June, August, and September of 2013 and 2014 in Navigation Pool 19 of the Upper Mississippi River. A FlowCAM® (Flow Cytometer and Microscope) particle imaging system was used to enumerate and measure particles 53–300 μm in diameter for size and shape characteristics (e.g. volume, elongation, and symmetry). Suspended particle characteristics varied considerably over space and time and were strongly associated with discharge and concentrations of nitrate + nitrite (NO3−) and soluble reactive phosphorus. Particle characteristics in backwaters were distinct from those in other habitats for most of the study period, likely due to reduced hydrologic connectivity and higher biotic production in backwaters. During low discharge, phytoplankton and zooplankton made up relatively greater proportions of the observed particles. Concurrently during low discharge, concentrations of chlorophyll, volatile suspended solids, and total phosphorus were higher. Our results suggest that there are complex interactions among space, time, discharge, and other environmental variables (e.g. water nutrients), which drive suspended particle dynamics in large rivers.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3131","usgsCitation":"Milde, A.S., Richardson, W.B., Strauss, E.A., Larson, J.H., Vallazza, J.M., and Knights, B.C., 2017, Spatial and temporal dynamics of suspended particle characteristics and composition in Navigation Pool 19 of the Upper Mississippi River: River Research and Applications, v. 33, no. 5, p. 740-752, https://doi.org/10.1002/rra.3131.","productDescription":"13 p.","startPage":"740","endPage":"752","ipdsId":"IP-076602","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":338814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343530,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70Z7250","text":"Spatial and temporal dynamics of suspended particle characteristics and composition in Navigation Pool 19 of the Upper Mississippi River"}],"country":"United 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A.","contributorId":190148,"corporation":false,"usgs":false,"family":"Strauss","given":"Eric","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":687404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vallazza, Jonathan M. 0000-0003-2367-4887 jvallazza@usgs.gov","orcid":"https://orcid.org/0000-0003-2367-4887","contributorId":149362,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jonathan","email":"jvallazza@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences 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Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Live transport of Yellow Perch and Nile Tilapia in AQUI-S 20E (10% Eugenol) at high loading densities","docAbstract":"Fish transport costs are a substantial portion of the operational expenses for aquaculture facilities in the USA. Safely transporting higher loading densities of fish would benefit haulers by increasing efficiency and reducing costs, but research evaluating transport for individual species is generally lacking. In this study, Yellow Perch Perca flavescens and Nile Tilapia Oreochromis niloticus were transported for 6 h immersed in water containing AQUI-S 20E (10% eugenol) at fish loading densities of 240 g/L (2 lb/gal) for perch and 480 g/L (4 lb/gal) for tilapia. Survival was quantified for fish transported in AQUI-S 20E concentrations of (1) control or 0 mg/L of water, (2) 100 mg/L, or (3) 200 mg/L. Yellow Perch had 98–100% survival, and Nile Tilapia had 100% survival up to through 14 d after transport across all AQUI-S 20E levels, including the control. Eugenol concentrations decreased rapidly in transport tank water, and fish showed no signs of sedation by the end of transport. We conclude that live transport of Yellow Perch and Nile Tilapia at higher loading densities resulted in high survival regardless of the AQUI-S 20E concentrations we tested.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15222055.2017.1281853","usgsCitation":"Cupp, A.R., Schreier, T.M., and Schleis, S.M., 2017, Live transport of Yellow Perch and Nile Tilapia in AQUI-S 20E (10% Eugenol) at high loading densities: North American Journal of Aquaculture, v. 79, no. 2, p. 176-182, https://doi.org/10.1080/15222055.2017.1281853.","productDescription":"7 p.","startPage":"176","endPage":"182","ipdsId":"IP-078019","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":338816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-02","publicationStatus":"PW","scienceBaseUri":"58de194be4b02ff32c699c81","contributors":{"authors":[{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schreier, Theresa M. 0000-0001-7722-6292 tschreier@usgs.gov","orcid":"https://orcid.org/0000-0001-7722-6292","contributorId":3344,"corporation":false,"usgs":true,"family":"Schreier","given":"Theresa","email":"tschreier@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687391,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schleis, Susan M. 0000-0002-9396-7856 sschleis@usgs.gov","orcid":"https://orcid.org/0000-0002-9396-7856","contributorId":2858,"corporation":false,"usgs":true,"family":"Schleis","given":"Susan","email":"sschleis@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687392,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70185994,"text":"70185994 - 2017 - Field study suggests that sex determination in sea lamprey is directly influenced by larval growth rate","interactions":[],"lastModifiedDate":"2017-06-07T13:55:04","indexId":"70185994","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Field study suggests that sex determination in sea lamprey is directly influenced by larval growth rate","docAbstract":"Sex determination mechanisms in fishes lie along a genetic-environmental continuum and thereby offer opportunities to understand how physiology and environment interact to determine sex. Mechanisms and ecological consequences of sex determination in fishes are primarily garnered from teleosts, with little investigation into basal fishes. We tagged and released larval sea lamprey (Petromyzon marinus) into unproductive lake and productive stream environments. Sex ratios produced from these environments were quantified by recapturing tagged individuals as adults. Sex ratios from unproductive and productive environments were initially similar. However, sex ratios soon diverged, with unproductive environments becoming increasingly male-skewed and productive environments becoming less male-skewed with time. We hypothesize that slower growth in unproductive environments contributed to the sex ratio differences by directly influencing sex determination. To the best of our knowledge, this is the first study suggesting that growth rate in a fish species directly influences sex determination; other studies have suggested that the environmental variables to which sex determination is sensitive (e.g. density, temperature) act as cues for favourable or unfavourable growth conditions. Understanding mechanisms of sex determination in lampreys may provide unique insight into the underlying principles of sex determination in other vertebrates and provide innovative approaches for their management where valued and invasive.
","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rspb.2017.0262","usgsCitation":"Johnson, N., Swink, W.D., and Brenden, T.O., 2017, Field study suggests that sex determination in sea lamprey is directly influenced by larval growth rate: Proceedings of the Royal Society B: Biological Sciences, v. 284, no. 1851, Article 20170262; 5 p., https://doi.org/10.1098/rspb.2017.0262.","productDescription":"Article 20170262; 5 p.","ipdsId":"IP-084101","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469981,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2017.0262","text":"Publisher Index Page"},{"id":338856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"284","issue":"1851","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-29","publicationStatus":"PW","scienceBaseUri":"58de194de4b02ff32c699c8f","contributors":{"authors":[{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":687278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swink, William D.","contributorId":126758,"corporation":false,"usgs":false,"family":"Swink","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":6595,"text":"Retired USGS Fishery Biologist","active":true,"usgs":false}],"preferred":false,"id":687279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenden, Travis O.","contributorId":126759,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis","email":"","middleInitial":"O.","affiliations":[{"id":6596,"text":"Quantitative Fisheries Center, Department of Fisheries and Wildlife Michigan State University","active":true,"usgs":false}],"preferred":false,"id":687280,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70185601,"text":"ofr20171034 - 2017 - Landsat and agriculture—Case studies on the uses and benefits of Landsat imagery in agricultural monitoring and production","interactions":[],"lastModifiedDate":"2017-03-30T12:15:26","indexId":"ofr20171034","displayToPublicDate":"2017-03-29T17:45:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1034","title":"Landsat and agriculture—Case studies on the uses and benefits of Landsat imagery in agricultural monitoring and production","docAbstract":"The use of Landsat satellite imagery for global agricultural monitoring began almost immediately after the launch of Landsat 1 in 1972, making agricultural monitoring one of the longest-standing operational applications for the Landsat program. More recently, Landsat imagery has been used in domestic agricultural applications as an input for field-level production management. The enactment of the U.S. Geological Survey’s free and open data policy in 2008 and the launch of Landsat 8 in 2013 have both influenced agricultural applications. This report presents two primary sets of case studies on the applications and benefits of Landsat imagery use in agriculture. The first set examines several operational applications within the U.S. Department of Agriculture (USDA) and the second focuses on private sector applications for agronomic management.
Information on the USDA applications is provided in the U.S. Department of Agriculture Uses of Landsat Imagery for Global and Domestic Agricultural Monitoring section of the report in the following subsections:
Private sector applications using Landsat imagery for agricultural management are discussed in the Landsat Imagery Use and Benefits in Field-Level Agricultural Production Management section of the report in the following subsections:
Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8118
Small-bodied terrestrial animals such as songbirds (Order Passeriformes) are especially vulnerable to hail-induced mortality; yet, hail events are challenging to predict, and they often occur in locations where populations are not being studied. Focusing on nesting grassland songbirds, we demonstrate a novel approach to estimate hail-induced mortality. We quantify the relationship between the probability of nests destroyed by hail and measured Level-III Next Generation Radar (NEXRAD) data, including atmospheric base reflectivity, maximum estimated size of hail and maximum estimated azimuthal wind shear. On 22 June 2014, a hailstorm in northern Colorado destroyed 102 out of 203 known nests within our research site. Lark bunting (Calamospiza melanocorys) nests comprised most of the sample (n = 186). Destroyed nests were more likely to be found in areas of higher storm intensity, and distributions of NEXRAD variables differed between failed and surviving nests. For 133 ground nests where nest-site vegetation was measured, we examined the ameliorative influence of woody vegetation, nest cover and vegetation density by comparing results for 13 different logistic regression models incorporating the independent and additive effects of weather and vegetation variables. The most parsimonious model used only the interactive effect of hail size and wind shear to predict the probability of nest survival, and the data provided no support for any of the models without this predictor. We conclude that vegetation structure may not mitigate mortality from severe hailstorms and that weather radar products can be used remotely to estimate potential for hail mortality of nesting grassland birds. These insights will improve the efficacy of grassland bird population models under predicted climate change scenarios.
","language":"English","publisher":"Wiley","doi":"10.1002/rse2.41","usgsCitation":"Carver, A., Ross, J.D., Augustine, D., Skagen, S.K., Dwyer, A.M., Tomback, D.F., and Wunder, M., 2017, Weather radar data correlate to hail-induced mortality in grassland birds: Remote Sensing in Ecology and Conservation, v. 3, no. 2, p. 90-101, https://doi.org/10.1002/rse2.41.","productDescription":"12 p.","startPage":"90","endPage":"101","ipdsId":"IP-073446","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469986,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rse2.41","text":"Publisher Index Page"},{"id":338545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-24","publicationStatus":"PW","scienceBaseUri":"58dcc7d3e4b02ff32c685665","contributors":{"authors":[{"text":"Carver, Amber","contributorId":189956,"corporation":false,"usgs":false,"family":"Carver","given":"Amber","email":"","affiliations":[],"preferred":false,"id":686605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ross, Jeremy D.","contributorId":189958,"corporation":false,"usgs":false,"family":"Ross","given":"Jeremy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":686608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Augustine, David J.","contributorId":36849,"corporation":false,"usgs":true,"family":"Augustine","given":"David J.","affiliations":[],"preferred":false,"id":686606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skagen, Susan K. 0000-0002-6744-1244 skagens@usgs.gov","orcid":"https://orcid.org/0000-0002-6744-1244","contributorId":2009,"corporation":false,"usgs":true,"family":"Skagen","given":"Susan","email":"skagens@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":686604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dwyer, Angela M.","contributorId":189959,"corporation":false,"usgs":false,"family":"Dwyer","given":"Angela","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":686609,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tomback, Diana F.","contributorId":189960,"corporation":false,"usgs":false,"family":"Tomback","given":"Diana","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":686610,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wunder, Michael B.","contributorId":80599,"corporation":false,"usgs":false,"family":"Wunder","given":"Michael B.","affiliations":[{"id":6674,"text":"Department of Integrative Biology, University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":686607,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70188401,"text":"70188401 - 2017 - Characterizing local variability in long‐period horizontal tilt noise","interactions":[],"lastModifiedDate":"2017-06-08T11:54:22","indexId":"70188401","displayToPublicDate":"2017-03-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing local variability in long‐period horizontal tilt noise","docAbstract":"Horizontal seismic data are dominated by atmospherically induced tilt noise at long periods (i.e., 30 s and greater). Tilt noise limits our ability to use horizontal data for sensitive seismological studies such as observing free earth modes. To better understand the local spatial variability of long‐period horizontal noise, we observe horizontal noise during quiet time periods in the Albuquerque Seismological Laboratory (ASL) underground vault using four small‐aperture array configurations. Each array comprises eight Streckeisen STS‐2 broadband seismometers. We analyze the spectral content of the data using power spectral density and magnitude‐squared coherence (γ2‐coherence). Our results show a high degree of spatial variability and frequency dependence in the long‐period horizontal wavefield. The variable nature of long‐period horizontal noise in the ASL vault suggests that it might be highly local in nature and not easily characterized by simple physical models when overall noise levels are low, making it difficult to identify locations in the vault with lower horizontal noise. This variability could be limiting our ability to apply coherence analysis for estimating horizontal sensor self‐noise and could also complicate various indirect methods for removing long‐period horizontal noise (e.g., collocated rotational sensor or microbarograph).","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160193","usgsCitation":"Rohde, M., Ringler, A.T., Hutt, C.R., Wilson, D.C., Holland, A., Sandoval, L., and Storm, T., 2017, Characterizing local variability in long‐period horizontal tilt noise: Seismological Research Letters, v. 88, no. 3, p. 822-830, https://doi.org/10.1785/0220160193.","productDescription":"9 p. ","startPage":"822","endPage":"830","ipdsId":"IP-082062","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":342286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","city":"Albuquerque","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.49322509765624,\n 35.20411123432418\n ],\n [\n -106.55776977539062,\n 35.21645362659458\n ],\n [\n -106.66763305664062,\n 35.238889532322595\n ],\n [\n -106.75140380859374,\n 35.232159412017154\n ],\n [\n -106.81182861328125,\n 35.19625600786368\n ],\n [\n -106.83380126953125,\n 35.113168592954004\n ],\n [\n -106.79122924804688,\n 35.00975247399121\n ],\n [\n -106.73080444335938,\n 34.96474810049312\n ],\n [\n -106.62094116210938,\n 34.93435616542664\n ],\n [\n -106.52618408203125,\n 34.93660780623881\n ],\n [\n -106.468505859375,\n 34.96474810049312\n ],\n [\n -106.42044067382812,\n 35.0120020431607\n ],\n [\n -106.40396118164062,\n 35.07159307658134\n ],\n [\n -106.40396118164062,\n 35.12889434101051\n ],\n [\n -106.40396118164062,\n 35.17044062975638\n ],\n [\n -106.424560546875,\n 35.191766965947394\n ],\n [\n -106.49322509765624,\n 35.20411123432418\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"88","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-29","publicationStatus":"PW","scienceBaseUri":"593ad6e2e4b0764e6c60214d","contributors":{"authors":[{"text":"Rohde, M.D.","contributorId":192734,"corporation":false,"usgs":false,"family":"Rohde","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":697596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":697597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":697598,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":697599,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holland, Austin 0000-0002-7843-1981 aaholland@usgs.gov","orcid":"https://orcid.org/0000-0002-7843-1981","contributorId":173969,"corporation":false,"usgs":true,"family":"Holland","given":"Austin","email":"aaholland@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":697600,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sandoval, L.D","contributorId":192735,"corporation":false,"usgs":false,"family":"Sandoval","given":"L.D","affiliations":[],"preferred":false,"id":697601,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Storm, Tyler 0000-0002-6787-9545 tstorm@usgs.gov","orcid":"https://orcid.org/0000-0002-6787-9545","contributorId":152165,"corporation":false,"usgs":true,"family":"Storm","given":"Tyler","email":"tstorm@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":697602,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70181024,"text":"ofr20171016 - 2017 - Numerical modeling of the effects of Hurricane Sandy and potential future hurricanes on spatial patterns of salt marsh morphology in Jamaica Bay, New York City","interactions":[],"lastModifiedDate":"2017-03-29T15:19:26","indexId":"ofr20171016","displayToPublicDate":"2017-03-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1016","title":"Numerical modeling of the effects of Hurricane Sandy and potential future hurricanes on spatial patterns of salt marsh morphology in Jamaica Bay, New York City","docAbstract":"The salt marshes of Jamaica Bay, managed by the New York City Department of Parks & Recreation and the Gateway National Recreation Area of the National Park Service, serve as a recreational outlet for New York City residents, mitigate flooding, and provide habitat for critical wildlife species. Hurricanes and extra-tropical storms have been recognized as one of the critical drivers of coastal wetland morphology due to their effects on hydrodynamics and sediment transport, deposition, and erosion processes. However, the magnitude and mechanisms of hurricane effects on sediment dynamics and associated coastal wetland morphology in the northeastern United States are poorly understood. In this study, the depth-averaged version of the Delft3D modeling suite, integrated with field measurements, was utilized to examine the effects of Hurricane Sandy and future potential hurricanes on salt marsh morphology in Jamaica Bay, New York City. Hurricane Sandy-induced wind, waves, storm surge, water circulation, sediment transport, deposition, and erosion were simulated by using the modeling system in which vegetation effects on flow resistance, surge reduction, wave attenuation, and sedimentation were also incorporated. Observed marsh elevation change and accretion from a rod surface elevation table and feldspar marker horizons and cesium-137- and lead-210-derived long-term accretion rates were used to calibrate and validate the wind-waves-surge-sediment transport-morphology coupled model.
The model results (storm surge, waves, and marsh deposition and erosion) agreed well with field measurements. The validated modeling system was then used to detect salt marsh morphological change due to Hurricane Sandy across the entire Jamaica Bay over the short-term (for example, 4 days and 1 year) and long-term (for example, 5 and 10 years). Because Hurricanes Sandy (2012) and Irene (2011) were two large and destructive tropical cyclones which hit the northeast coast, the validated coupled model was run to predict the effects of Sandy-like and Irene-like hurricanes with different storm tracks and wind intensities on wetland morphology in Jamaica Bay. Model results indicate that, in Jamaica Bay salt marshes, the morphological changes (greater than 5 millimeters [mm] determined by the long-term marsh accretion rate) caused by Hurricane Sandy were complex and spatially heterogeneous. Most of the erosion (5–40 mm) and deposition (5–30 mm) were mainly characterized by fine sand for channels and bay bottoms and by mud for marsh areas. Hurricane Sandy-generated deposition and erosion were generated locally. The storm-induced net sediment input through Rockaway Inlet was only about 1 percent of the total amount of the sediment reworked by the hurricane. Salt marshes inside the western part of the bay showed erosion overall while marshes inside the eastern part showed deposition from Hurricane Sandy. Model results indicated that most of the marshes could recover from Hurricane Sandy-induced erosion after 1 year and demonstrated continued marsh accretion after the hurricane over the course of long simulation periods although the effect (accretion) was diminished. Local waves and currents generated by Hurricane Sandy appeared to play a critical role in sediment transport and associated wetland morphological change in Jamaica Bay. Hypothetical hurricanes, depending on their track and intensity, cause variable responses in spatial patterns of sediment deposition and erosion compared to simulations without the hurricane. In general, hurricanes passing west of the Jamaica Bay estuary appear to be more destructive to the salt marshes than those passing the east. Consequently, marshes inside the western part of the bay were likely to be more vulnerable to hurricanes than marshes inside the eastern part of the bay.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171016","usgsCitation":"Wang, H., Chen, Q., Hu, K., Snedden, G.A., Hartig, E.K., Couvillion, B.R., Johnson, C.L., and Orton, P.M., 2017, Numerical modeling of the effects of Hurricane Sandy and potential future hurricanes on spatial patterns of salt marsh morphology in Jamaica Bay, New York City: U.S. Geological Survey Open-File Report 2017–1016, 43 p., https://doi.org/10.3133/ofr20171016.","productDescription":"vii, 43 p.","numberOfPages":"56","onlineOnly":"Y","ipdsId":"IP-079827","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":338515,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1016/coverthb.jpg"},{"id":338516,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1016/ofr20171016.pdf","text":"Report","size":"30.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017–1016"}],"country":"United States","state":"New York","city":"New York City","otherGeospatial":"Jamaica Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.95687103271484,\n 40.539112438263516\n ],\n [\n -73.72684478759766,\n 40.539112438263516\n ],\n [\n -73.72684478759766,\n 40.658503716866974\n ],\n [\n -73.95687103271484,\n 40.658503716866974\n ],\n [\n -73.95687103271484,\n 40.539112438263516\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"
Director, Wetland and Aquatic Research Center
U.S. Geological Survey
7920 NW 71st Street
Gainesville, FL 32653
https://www.usgs.gov/centers/wetland-and-aquatic-research-center-warc
","tableOfContents":"Accuracy assessment is a standard protocol of National Land Cover Database (NLCD) mapping. Here we report agreement statistics between map and reference labels for NLCD 2011, which includes land cover for ca. 2001, ca. 2006, and ca. 2011. The two main objectives were assessment of agreement between map and reference labels for the three, single-date NLCD land cover products at Level II and Level I of the classification hierarchy, and agreement for 17 land cover change reporting themes based on Level I classes (e.g., forest loss; forest gain; forest, no change) for three change periods (2001–2006, 2006–2011, and 2001–2011). The single-date overall accuracies were 82%, 83%, and 83% at Level II and 88%, 89%, and 89% at Level I for 2011, 2006, and 2001, respectively. Many class-specific user's accuracies met or exceeded a previously established nominal accuracy benchmark of 85%. Overall accuracies for 2006 and 2001 land cover components of NLCD 2011 were approximately 4% higher (at Level II and Level I) than the overall accuracies for the same components of NLCD 2006. The high Level I overall, user's, and producer's accuracies for the single-date eras in NLCD 2011 did not translate into high class-specific user's and producer's accuracies for many of the 17 change reporting themes. User's accuracies were high for the no change reporting themes, commonly exceeding 85%, but were typically much lower for the reporting themes that represented change. Only forest loss, forest gain, and urban gain had user's accuracies that exceeded 70%. Lower user's accuracies for the other change reporting themes may be attributable to the difficulty in determining the context of grass (e.g., open urban, grassland, agriculture) and between the components of the forest-shrubland-grassland gradient at either the mapping phase, reference label assignment phase, or both. NLCD 2011 user's accuracies for forest loss, forest gain, and urban gain compare favorably with results from other land cover change accuracy assessments.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2016.12.026","usgsCitation":"Wickham, J., Stehman, S.V., Gass, L., Dewitz, J., Sorenson, D.G., Granneman, B.J., Poss, R.V., and Baer, L.A., 2017, Thematic accuracy assessment of the 2011 National Land Cover Database (NLCD): Remote Sensing of Environment, v. 191, p. 328-341, https://doi.org/10.1016/j.rse.2016.12.026.","productDescription":"14 p.","startPage":"328","endPage":"341","ipdsId":"IP-079186","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469987,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6657805","text":"Publisher Index Page"},{"id":338528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"191","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58dcc7d2e4b02ff32c68565f","contributors":{"authors":[{"text":"Wickham, James","contributorId":140259,"corporation":false,"usgs":false,"family":"Wickham","given":"James","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":686666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stehman, Stephen V.","contributorId":77283,"corporation":false,"usgs":true,"family":"Stehman","given":"Stephen","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":686667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gass, Leila 0000-0002-3436-262X lgass@usgs.gov","orcid":"https://orcid.org/0000-0002-3436-262X","contributorId":3770,"corporation":false,"usgs":true,"family":"Gass","given":"Leila","email":"lgass@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":686665,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dewitz, Jon 0000-0002-0458-212X dewitz@usgs.gov","orcid":"https://orcid.org/0000-0002-0458-212X","contributorId":2401,"corporation":false,"usgs":true,"family":"Dewitz","given":"Jon","email":"dewitz@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":686668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sorenson, Daniel G. 0000-0003-0365-9444 dsorenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0365-9444","contributorId":2898,"corporation":false,"usgs":true,"family":"Sorenson","given":"Daniel","email":"dsorenson@usgs.gov","middleInitial":"G.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":686669,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Granneman, Brian J. 0000-0002-1910-0955 grann@usgs.gov","orcid":"https://orcid.org/0000-0002-1910-0955","contributorId":4209,"corporation":false,"usgs":true,"family":"Granneman","given":"Brian","email":"grann@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":686670,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poss, Richard V.","contributorId":189982,"corporation":false,"usgs":false,"family":"Poss","given":"Richard","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":686671,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Baer, Lori Anne 0000-0003-1908-979X labaer@usgs.gov","orcid":"https://orcid.org/0000-0003-1908-979X","contributorId":4429,"corporation":false,"usgs":true,"family":"Baer","given":"Lori","email":"labaer@usgs.gov","middleInitial":"Anne","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":686672,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70185808,"text":"70185808 - 2017 - Manatee grazing impacts on a mixed species seagrass bed","interactions":[],"lastModifiedDate":"2017-03-29T15:36:34","indexId":"70185808","displayToPublicDate":"2017-03-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Manatee grazing impacts on a mixed species seagrass bed","docAbstract":"The endangered manatee Trichechus manatus is one of few large grazers in seagrass systems. To assess the long-term impacts of repeated grazing on seagrasses, we selected a study site within Kennedy Space Center in the northern Banana River, Brevard County, Florida, that was typically grazed by large numbers of manatees in spring. Two 13x13 m manatee exclosures and 2 paired open plots of equal size were established at the study site in October 1990. Shoot counts, biomass, and species composition of the co-dominant seagrass species, Syringodium filiforme and Halodule wrightii, were sampled 3 times per year in all 4 plots between October 1990 and October 1994. We used a Bayesian modelling approach, accounting for the influence of depth, to detect treatment (exclosed vs. open) effects. S. filiforme shoot counts, total biomass, and frequency of occurrence significantly increased in the exclosures. By July 1993, mean biomass values in the exclosures (167 g dry wt m-2) greatly exceeded those in the open plots (28 g dry wt m-2). H. wrightii decreased in the exclosures by 1994. Initially, both S. filiforme and H. wrightii responded positively to release from manatee grazing pressure. As S. filiforme continued to become denser in the exclosures, it gradually replaced H. wrightii. Our findings may be helpful to biologists and managers interested in predicting seagrass recovery and manatee carrying capacity of repeatedly grazed seagrass beds in areas of special significance to manatees and seagrass conservation.
","language":"English","publisher":"Inter-Research","doi":"10.3354/meps11986","collaboration":"InoMedic Health Applications, Inc;National Oceanic and Atmospheric Administrationmahon","usgsCitation":"Lefebvre, L.W., Provancha, J.A., Slone, D., and Kenworthy, W.J., 2017, Manatee grazing impacts on a mixed species seagrass bed: Marine Ecology Progress Series, v. 564, p. 29-45, https://doi.org/10.3354/meps11986.","productDescription":"17 p.","startPage":"29","endPage":"45","ipdsId":"IP-072284","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":338694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"564","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58dcc7d1e4b02ff32c68565d","contributors":{"authors":[{"text":"Lefebvre, Lynn W. 0000-0002-4464-6263 llefebvre@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6263","contributorId":1614,"corporation":false,"usgs":true,"family":"Lefebvre","given":"Lynn","email":"llefebvre@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":686787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Provancha, Jane A.","contributorId":190011,"corporation":false,"usgs":false,"family":"Provancha","given":"Jane","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":686788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slone, Daniel H. 0000-0002-9903-9727 dslone@usgs.gov","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":1749,"corporation":false,"usgs":true,"family":"Slone","given":"Daniel H.","email":"dslone@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":686786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kenworthy, W. Judson","contributorId":190012,"corporation":false,"usgs":false,"family":"Kenworthy","given":"W.","email":"","middleInitial":"Judson","affiliations":[],"preferred":false,"id":686789,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}