{"pageNumber":"1087","pageRowStart":"27150","pageSize":"25","recordCount":184757,"records":[{"id":70175675,"text":"70175675 - 2016 - A tour de force by Hawaii’s invasive mammals: Establishment, takeover, and ecosystem restoration through eradication","interactions":[],"lastModifiedDate":"2018-01-04T12:38:32","indexId":"70175675","displayToPublicDate":"2016-08-18T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5178,"text":"Mammal Study","active":true,"publicationSubtype":{"id":10}},"title":"A tour de force by Hawaii’s invasive mammals: Establishment, takeover, and ecosystem restoration through eradication","docAbstract":"Invasive mammals have irreversibly altered ecosystems of Hawai‘i and other tropical Pacific islands in numerous cases through novel herbivory, predation, and diseases, thereby causing the disproportionate extinction of flora and fauna that occur nowhere else on Earth. The control and eradication of invasive mammals is the single most expensive management activity necessary for restoring ecological integrity to many natural areas of Hawai‘i and other Pacific Islands, and have already advanced the restoration of native biota by removing herbivorous ungulates from >750 km2. Rodenticides which have been tested and registered for hand and aerial broadcast in Hawai‘i have been used to eradicate rats from remote islands to protect nesting seabirds and are now being applied to larger islands to protect forest birds. The exclusion of other invasive mammals is now being undertaken with more sophisticated control techniques and fences. New fence designs are capable of excluding all mammals from areas to protect endangered native birds. Although the eradication of mammals from large areas has resulted in the restoration of some ecosystem processes such as natural forest regeneration, changes in other processes such as fire regimes, nutrient cycling, and invasive plant proliferation remain more difficult to reverse at larger landscape scales.
","language":"English","publisher":"Mammalogical Society of Japan","publisherLocation":"Tokyo","doi":"10.3106/041.041.0202","usgsCitation":"Hess, S.C., 2016, A tour de force by Hawaii’s invasive mammals: Establishment, takeover, and ecosystem restoration through eradication: Mammal Study, v. 41, no. 2, p. 47-60, https://doi.org/10.3106/041.041.0202.","productDescription":"14 p.","startPage":"47","endPage":"60","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072005","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":470652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3106/041.041.0202","text":"Publisher Index Page"},{"id":326778,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", 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shess@usgs.gov","orcid":"https://orcid.org/0000-0001-6403-9922","contributorId":150366,"corporation":false,"usgs":true,"family":"Hess","given":"Steve","email":"shess@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":646003,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70175676,"text":"70175676 - 2016 - Decadal and long-term boreal soil carbon and nitrogen sequestration rates across a variety of ecosystems","interactions":[],"lastModifiedDate":"2016-08-18T09:11:24","indexId":"70175676","displayToPublicDate":"2016-08-18T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Decadal and long-term boreal soil carbon and nitrogen sequestration rates across a variety of ecosystems","docAbstract":"Boreal soils play a critical role in the global carbon (C) cycle; therefore, it is important to understand the mechanisms that control soil C accumulation and loss for this region. Examining C & nitrogen (N) accumulation rates over decades to centuries may provide additional understanding of the dominant mechanisms for their storage, which can be masked by seasonal and interannual variability when investigated over the short term. We examined longer-term accumulation rates, using 210Pb and 14C to date soil layers, for a wide variety of boreal ecosystems: a black spruce forest, a shrub ecosystem, a tussock grass ecosystem, a sedge-dominated ecosystem, and a rich fen. All ecosystems had similar decadal C accumulation rates, averaging 84 ± 42 gC m−2 yr−1. Long-term (century) C accumulation rates were slower than decadal rates, averaging 14 ± 5 gC m−2 yr−1 for all ecosystems except the rich fen, for which the long-term C accumulation rates was more similar to decadal rates (44 ± 5 and 76 ± 9 gC m−2 yr−1, respectively). The rich fen also had the highest long-term N accumulation rates (2.7 gN m−2 yr−1). The lowest N accumulation rate, on both a decadal and long-term basis, was found in the black spruce forest (0.2 and 1.4 gN m−2 yr−1, respectively). Our results suggest that the controls on long-term C and N cycling at the rich fen is fundamentally different from the other ecosystems, likely due to differences in the predominant drivers of nutrient cycling (oxygen availability, for C) and reduced amounts of disturbance by fire (for C and N). This result implies that most shifts in ecosystem vegetation across the boreal region, driven by either climate or succession, will not significantly impact regional C or N dynamics over years to decades. However, ecosystem transitions to or from a rich fen will promote significant shifts in soil C and N storage.
","language":"English","publisher":"European Geosciences Union","publisherLocation":"Katlenberg-Lindau, Germany","doi":"10.5194/bg-13-4315-2016","usgsCitation":"Manies, K.L., Harden, J.W., Fuller, C.C., and Turetsky, M., 2016, Decadal and long-term boreal soil carbon and nitrogen sequestration rates across a variety of ecosystems: Biogeosciences, v. 13, p. 4315-4327, https://doi.org/10.5194/bg-13-4315-2016.","startPage":"4315","endPage":"4327","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069513","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470653,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-13-4315-2016","text":"Publisher Index Page"},{"id":326780,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-01","publicationStatus":"PW","scienceBaseUri":"57b6ce28e4b03fd6b7d919d3","contributors":{"authors":[{"text":"Manies, Kristen L. 0000-0003-4941-9657 kmanies@usgs.gov","orcid":"https://orcid.org/0000-0003-4941-9657","contributorId":2136,"corporation":false,"usgs":true,"family":"Manies","given":"Kristen","email":"kmanies@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":646012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":646013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":646014,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turetsky, Merritt","contributorId":62335,"corporation":false,"usgs":true,"family":"Turetsky","given":"Merritt","affiliations":[],"preferred":false,"id":646015,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70175876,"text":"70175876 - 2016 - Stakeholder-led science: engaging resource managers to identify science needs for long-term management of floodplain conservation lands","interactions":[],"lastModifiedDate":"2016-12-16T11:41:16","indexId":"70175876","displayToPublicDate":"2016-08-18T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Stakeholder-led science: engaging resource managers to identify science needs for long-term management of floodplain conservation lands","docAbstract":"Floodplains pose challenges to managers of conservation lands because of constantly changing interactions with their rivers. Although scientific knowledge and understanding of the dynamics and drivers of river-floodplain systems can provide guidance to floodplain managers, the scientific process often occurs in isolation from management. Further, communication barriers between scientists and managers can be obstacles to appropriate application of scientific knowledge. With the coproduction of science in mind, our objectives were the following: (1) to document management priorities of floodplain conservation lands, and (2) identify science needs required to better manage the identified management priorities under nonstationary conditions, i.e., climate change, through stakeholder queries and interactions. We conducted an online survey with 80 resource managers of floodplain conservation lands along the Upper and Middle Mississippi River and Lower Missouri River, USA, to evaluate management priority, management intensity, and available scientific information for management objectives and conservation targets. Management objectives with the least information available relative to priority included controlling invasive species, maintaining respectful relationships with neighbors, and managing native, nongame species. Conservation targets with the least information available to manage relative to management priority included pollinators, marsh birds, reptiles, and shore birds. A follow-up workshop and survey focused on clarifying science needs to achieve management objectives under nonstationary conditions. Managers agreed that metrics of inundation, including depth and extent of inundation, and frequency, duration, and timing of inundation would be the most useful metrics for management of floodplain conservation lands with multiple objectives. This assessment provides guidance for developing relevant and accessible science products to inform management of highly dynamic floodplain environments. Although the problems facing managers of these lands are complex, products focused on a small suite of inundation metrics were determined to be the most useful to guide the decision making process.
","language":"English","publisher":"Ecology and Society","doi":"10.5751/ES-08620-210312","usgsCitation":"Bouska, K.L., Lindner, G., Paukert, C.P., and Jacobson, R.B., 2016, Stakeholder-led science: engaging resource managers to identify science needs for long-term management of floodplain conservation lands: Ecology and Society, v. 21, no. 3, Article 12; 36 p. , https://doi.org/10.5751/ES-08620-210312.","productDescription":"Article 12; 36 p. ","ipdsId":"IP-071229","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470654,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-08620-210312","text":"Publisher Index Page"},{"id":327068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Mississippi River, Middle Mississippi River, Lower Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.1640625,\n 45.24395342262324\n ],\n [\n -89.56054687499999,\n 42.00032514831621\n ],\n [\n -90.615234375,\n 39.06184913429154\n ],\n [\n -88.6376953125,\n 36.63316209558658\n ],\n [\n -89.9560546875,\n 34.23451236236984\n ],\n [\n -91.62597656249999,\n 34.379712580462204\n ],\n [\n -92.373046875,\n 36.63316209558658\n ],\n [\n -95.8447265625,\n 37.82280243352756\n ],\n [\n -98.6572265625,\n 41.705728515237524\n ],\n [\n -100.546875,\n 43.45291889355465\n ],\n [\n -93.1640625,\n 45.24395342262324\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57b82de7e4b03fd6b7da39cc","contributors":{"authors":[{"text":"Bouska, Kristin L.","contributorId":173878,"corporation":false,"usgs":false,"family":"Bouska","given":"Kristin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":646487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lindner, Garth A.","contributorId":143717,"corporation":false,"usgs":false,"family":"Lindner","given":"Garth A.","affiliations":[{"id":15309,"text":"University of Maryland Baltimore County","active":true,"usgs":false}],"preferred":false,"id":646488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":646480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":646489,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70174855,"text":"ofr20161117 - 2016 - Estimating suspended sediment using acoustics in a fine-grained riverine system, Kickapoo Creek at Bloomington, Illinois","interactions":[],"lastModifiedDate":"2016-08-19T09:31:46","indexId":"ofr20161117","displayToPublicDate":"2016-08-18T00:00:00","publicationYear":"2016","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":"2016-1117","title":"Estimating suspended sediment using acoustics in a fine-grained riverine system, Kickapoo Creek at Bloomington, Illinois","docAbstract":"Acoustic technologies have the potential to be used as a surrogate for measuring suspended-sediment concentration (SSC). This potential was examined in a fine-grained (97-100 percent fines) riverine system in central Illinois by way of installation of an acoustic instrument. Acoustic data were collected continuously over the span of 5.5 years. Acoustic parameters were regressed against SSC data to determine the accuracy of using acoustic technology as a surrogate for measuring SSC in a fine-grained riverine system. The resulting regressions for SSC and sediment acoustic parameters had coefficients of determination ranging from 0.75 to 0.97 for various events and configurations. The overall Nash-Sutcliffe model-fit efficiency was 0.95 for the 132 observed and predicted SSC values determined using the sediment acoustic parameter regressions. The study of using acoustic technologies as a surrogate for measuring SSC in fine-grained riverine systems is ongoing. The results at this site are promising in the realm of surrogate technology.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161117","collaboration":"Prepared in cooperation with the Illinois Environmental Protection Agency and the Federal Interagency Sedimentation Project","usgsCitation":"Manaster, A.D, Domanski, M.M., Straub, T.D., and Boldt, J.A., 2016, Estimating suspended sediment using acoustics in a fine-grained riverine system on Kickapoo Creek at Bloomington, Illinois: U.S. Geological Survey Open-File Report 2016–1117, 42 p., https://dx.doi.org/10.3133/ofr20161117.","productDescription":"viii, 43 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-074002","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":326412,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1117/coverthb.jpg"},{"id":326413,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1117/ofr20161117.pdf","text":"Report","size":"13.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1117"}],"country":"United States","state":"Illinois","city":"Bloomington","otherGeospatial":"Kickapoo Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.02952575683594,\n 40.57432635193039\n ],\n [\n -90.02952575683594,\n 40.875103022165824\n ],\n [\n -89.6978759765625,\n 40.875103022165824\n ],\n [\n -89.6978759765625,\n 40.57432635193039\n ],\n [\n -90.02952575683594,\n 40.57432635193039\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Illinois Water Science Center
U.S. Geological Survey
405 North Goodwin Avenue
Urbana, IL 61801
http://il.water.usgs.gov
","tableOfContents":"\n- Abstract
\n- Introduction
\n- Purpose and Scope
\n- Methods
\n- Sediment Acoustic Index Rating Development
\n- Summary
\n- References Cited
\n- Appendixes 1–6
\n
","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2016-08-18","noUsgsAuthors":false,"publicationDate":"2016-08-18","publicationStatus":"PW","scienceBaseUri":"57b6ce28e4b03fd6b7d919d7","contributors":{"authors":[{"text":"Manaster, Amanda D.","contributorId":173615,"corporation":false,"usgs":true,"family":"Manaster","given":"Amanda","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":642822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Domanski, Marian M. 0000-0002-0468-314X mdomanski@usgs.gov","orcid":"https://orcid.org/0000-0002-0468-314X","contributorId":5035,"corporation":false,"usgs":true,"family":"Domanski","given":"Marian","email":"mdomanski@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":642823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Straub, Timothy D. 0000-0002-5896-0851 tdstraub@usgs.gov","orcid":"https://orcid.org/0000-0002-5896-0851","contributorId":2273,"corporation":false,"usgs":true,"family":"Straub","given":"Timothy D.","email":"tdstraub@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":642824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boldt, Justin A. jboldt@usgs.gov","contributorId":4375,"corporation":false,"usgs":true,"family":"Boldt","given":"Justin A.","email":"jboldt@usgs.gov","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":false,"id":642825,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70175544,"text":"ofr20161135 - 2016 - Numerical simulation of groundwater flow at Puget Sound Naval Shipyard, Naval Base Kitsap, Bremerton, Washington","interactions":[],"lastModifiedDate":"2016-08-19T08:27:59","indexId":"ofr20161135","displayToPublicDate":"2016-08-18T00:00:00","publicationYear":"2016","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":"2016-1135","title":"Numerical simulation of groundwater flow at Puget Sound Naval Shipyard, Naval Base Kitsap, Bremerton, Washington","docAbstract":"Information about groundwater-flow paths and locations where groundwater discharges at and near Puget Sound Naval Shipyard is necessary for understanding the potential migration of subsurface contaminants by groundwater at the shipyard. The design of some remediation alternatives would be aided by knowledge of whether groundwater flowing at specific locations beneath the shipyard will eventually discharge directly to Sinclair Inlet of Puget Sound, or if it will discharge to the drainage system of one of the six dry docks located in the shipyard. A 1997 numerical (finite difference) groundwater-flow model of the shipyard and surrounding area was constructed to help evaluate the potential for groundwater discharge to Puget Sound. That steady-state, multilayer numerical model with homogeneous hydraulic characteristics indicated that groundwater flowing beneath nearly all of the shipyard discharges to the dry-dock drainage systems, and only shallow groundwater flowing beneath the western end of the shipyard discharges directly to Sinclair Inlet.
Updated information from a 2016 regional groundwater-flow model constructed for the greater Kitsap Peninsula was used to update the 1997 groundwater model of the Puget Sound Naval Shipyard. That information included a new interpretation of the hydrogeologic units underlying the area, as well as improved recharge estimates. Other updates to the 1997 model included finer discretization of the finite-difference model grid into more layers, rows, and columns, all with reduced dimensions. This updated Puget Sound Naval Shipyard model was calibrated to 2001–2005 measured water levels, and hydraulic characteristics of the model layers representing different hydrogeologic units were estimated with the aid of state-of-the-art parameter optimization techniques.
The flow directions and discharge locations predicted by this updated model generally match the 1997 model despite refinements and other changes. In the updated model, most groundwater discharge recharged within the boundaries of the shipyard is to the dry docks; only at the western end of the shipyard does groundwater discharge directly to Puget Sound. Particle tracking for the existing long-term monitoring well network suggests that only a few wells intercept groundwater that originates as recharge within the shipyard boundary.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161135","collaboration":"Prepared in cooperation with the Naval Facilities Engineering Command-Northwest","usgsCitation":"Jones, J.L., Johnson, K.H., and Frans, L.M., 2016, Numerical simulation of groundwater flow at Puget Sound Naval Shipyard, Naval Base Kitsap, Bremerton, Washington: U.S. Geological Survey Open-File Report 2016-1135, 35 p., https://dx.doi.org/10.3133/ofr20161135.","productDescription":"Report:","startPage":"1","endPage":"35","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-076467","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":438574,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94FCYGV","text":"USGS data release","linkHelpText":"MODFLOW-NWT model to simulate the groundwater flow system at Puget Sound Naval Shipyard, Naval Base Kitsap, Bremerton, Washington"},{"id":326832,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1135/coverthb.jpg"},{"id":326833,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1135/ofr20161135.pdf","text":"Report","size":"1.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1135"}],"country":"United States","state":"Washington","city":"Bremerton","otherGeospatial":"Puget Sound Naval Shipyard, Naval Base Kitsap,","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.6953125,\n 47.529488341715265\n ],\n [\n -122.67230987548828,\n 47.53899190311993\n ],\n [\n -122.67093658447266,\n 47.54432241518175\n ],\n [\n -122.65960693359374,\n 47.55150616084034\n ],\n [\n -122.6513671875,\n 47.55382328811835\n ],\n [\n -122.63866424560547,\n 47.556603705614094\n ],\n [\n -122.63248443603514,\n 47.5586889219186\n ],\n [\n -122.62390136718749,\n 47.5610057315948\n ],\n [\n -122.62115478515625,\n 47.569808674020344\n ],\n [\n -122.62493133544922,\n 47.575136052077276\n ],\n [\n -122.64038085937499,\n 47.58023129789275\n ],\n [\n -122.64896392822264,\n 47.584168193691696\n ],\n [\n -122.65445709228516,\n 47.58903100916583\n ],\n [\n -122.65926361083984,\n 47.5996813120644\n ],\n [\n -122.66578674316406,\n 47.60384823184624\n ],\n [\n -122.67162322998047,\n 47.604774168947614\n ],\n [\n -122.68054962158202,\n 47.593198777144636\n ],\n [\n -122.68466949462892,\n 47.58301031389572\n ],\n [\n -122.68260955810545,\n 47.5714301073211\n ],\n [\n -122.69359588623047,\n 47.557067094186735\n ],\n [\n -122.70973205566406,\n 47.54663986006874\n ],\n [\n -122.6953125,\n 47.529488341715265\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402
http://wa.water.usgs.gov
","tableOfContents":"\n- Abstract
\n- Introduction
\n- Groundwater-Flow System
\n- Numerical Simulation of the Groundwater-Flow System
\n- Model Applications
\n- Summary
\n- References Cited
\n
","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-08-18","noUsgsAuthors":false,"publicationDate":"2016-08-18","publicationStatus":"PW","scienceBaseUri":"57b6ce29e4b03fd6b7d919e1","contributors":{"authors":[{"text":"Jones, Joseph L. jljones@usgs.gov","contributorId":3492,"corporation":false,"usgs":true,"family":"Jones","given":"Joseph","email":"jljones@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":645607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Kenneth H. johnson@usgs.gov","contributorId":3103,"corporation":false,"usgs":true,"family":"Johnson","given":"Kenneth","email":"johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":645608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frans, Lonna M. 0000-0002-3217-1862 lmfrans@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-1862","contributorId":1493,"corporation":false,"usgs":true,"family":"Frans","given":"Lonna","email":"lmfrans@usgs.gov","middleInitial":"M.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":645609,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175482,"text":"ofr20161132 - 2016 - Dam Removal Information Portal (DRIP)—A map-based resource linking scientific studies and associated geospatial information about dam removals","interactions":[],"lastModifiedDate":"2018-08-10T16:35:37","indexId":"ofr20161132","displayToPublicDate":"2016-08-18T00:00:00","publicationYear":"2016","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":"2016-1132","title":"Dam Removal Information Portal (DRIP)—A map-based resource linking scientific studies and associated geospatial information about dam removals","docAbstract":"The removal of dams has recently increased over historical levels due to aging infrastructure, changing societal needs, and modern safety standards rendering some dams obsolete. Where possibilities for river restoration, or improved safety, exceed the benefits of retaining a dam, removal is more often being considered as a viable option. Yet, as this is a relatively new development in the history of river management, science is just beginning to guide our understanding of the physical and ecological implications of dam removal. Ultimately, the “lessons learned” from previous scientific studies on the outcomes dam removal could inform future scientific understanding of ecosystem outcomes, as well as aid in decision-making by stakeholders. We created a database visualization tool, the Dam Removal Information Portal (DRIP), to display map-based, interactive information about the scientific studies associated with dam removals. Serving both as a bibliographic source as well as a link to other existing databases like the National Hydrography Dataset, the derived National Dam Removal Science Database serves as the foundation for a Web-based application that synthesizes the existing scientific studies associated with dam removals. Thus, using the DRIP application, users can explore information about completed dam removal projects (for example, their location, height, and date removed), as well as discover sources and details of associated of scientific studies. As such, DRIP is intended to be a dynamic collection of scientific information related to dams that have been removed in the United States and elsewhere. This report describes the architecture and concepts of this “metaknowledge” database and the DRIP visualization tool.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161132","usgsCitation":"Duda, J.J., Wieferich, D.J., Bristol, R.S., Bellmore, J.R., Hutchison, V.B., Vittum, K.M., Craig, Laura, and Warrick, J.A., 2016, Dam Removal Information Portal (DRIP)—A map-based resource linking scientific studies and associated geospatial information about dam removals: U.S. Geological Survey Open-File Report 2016-1132, 14 p., https://dx.doi.org/10.3133/ofr20161132.","productDescription":"iv, 14 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-076705","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":326867,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1132/coverthb.jpg"},{"id":326868,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1132/ofr20161132.pdf","text":"Report","size":"441 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1132"}],"contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115
http://wfrc.usgs.gov/
","tableOfContents":"\n- Abstract
\n- Introduction
\n- Architectural Concept
\n- National Dam Removal Science Database
\n- Dam Removal Information Portal
\n- Potential Future Directions and Additional Linkages to Other Resources
\n- Acknowledgments
\n- References Cited
\n
","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-08-18","noUsgsAuthors":false,"publicationDate":"2016-08-18","publicationStatus":"PW","scienceBaseUri":"57b6ce28e4b03fd6b7d919cf","contributors":{"authors":[{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":145486,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey","email":"jduda@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":645409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wieferich, Daniel J. 0000-0003-1554-7992","orcid":"https://orcid.org/0000-0003-1554-7992","contributorId":173859,"corporation":false,"usgs":true,"family":"Wieferich","given":"Daniel J.","affiliations":[],"preferred":false,"id":645410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bristol, R. Sky 0000-0003-1682-4031 sbristol@usgs.gov","orcid":"https://orcid.org/0000-0003-1682-4031","contributorId":3585,"corporation":false,"usgs":true,"family":"Bristol","given":"R.","email":"sbristol@usgs.gov","middleInitial":"Sky","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":false,"id":645411,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bellmore, J. Ryan","contributorId":104790,"corporation":false,"usgs":true,"family":"Bellmore","given":"J.","email":"","middleInitial":"Ryan","affiliations":[],"preferred":false,"id":645412,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hutchison, Vivian B. 0000-0001-5301-3698 vhutchison@usgs.gov","orcid":"https://orcid.org/0000-0001-5301-3698","contributorId":147815,"corporation":false,"usgs":true,"family":"Hutchison","given":"Vivian","email":"vhutchison@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":false,"id":645413,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vittum, Katherine M.","contributorId":173860,"corporation":false,"usgs":false,"family":"Vittum","given":"Katherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":645414,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Craig, Laura","contributorId":173675,"corporation":false,"usgs":false,"family":"Craig","given":"Laura","affiliations":[{"id":27270,"text":"American Rivers","active":true,"usgs":false}],"preferred":false,"id":645415,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":146720,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","email":"jwarrick@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":645416,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70175589,"text":"70175589 - 2016 - Increasing neonicotinoid use and the declining butterfly fauna of lowland California","interactions":[],"lastModifiedDate":"2016-08-17T13:38:06","indexId":"70175589","displayToPublicDate":"2016-08-17T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1028,"text":"Biology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Increasing neonicotinoid use and the declining butterfly fauna of lowland California","docAbstract":"The butterfly fauna of lowland Northern California has exhibited a marked decline in recent years that previous studies have attributed in part to altered climatic conditions and changes in land use. Here, we ask if a shift in insecticide use towards neonicotinoids is associated with butterfly declines at four sites in the region that have been monitored for four decades. A negative association between butterfly populations and increasing neonicotinoid application is detectable while controlling for land use and other factors, and appears to be more severe for smaller-bodied species. These results suggest that neonicotinoids could influence non-target insect populations occurring in proximity to application locations, and highlights the need for mechanistic work to complement long-term observational data.
","language":"English","publisher":"Royal Society","doi":"10.1098/rsbl.2016.0475","usgsCitation":"Forister, M.L., Cousens, B., Harrison, J.G., Anderson, K., Thorne, J.H., Waetjen, D., Nice, C.C., De Parsia, M., Hladik, M., Meese, R., van Vliet, H., and Shapiro, A.M., 2016, Increasing neonicotinoid use and the declining butterfly fauna of lowland California: Biology Letters, v. 12, 20160475: 5 p., https://doi.org/10.1098/rsbl.2016.0475.","productDescription":"20160475: 5 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075016","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":470655,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsbl.2016.0475","text":"Publisher Index Page"},{"id":326701,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Sacramento County, Solano County, Yolo 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,{"id":70175561,"text":"70175561 - 2016 - Volcanic air pollution over the Island of Hawai'i: Emissions, dispersal, and composition. Association with respiratory symptoms and lung function in Hawai'i Island school children","interactions":[],"lastModifiedDate":"2016-08-17T09:07:10","indexId":"70175561","displayToPublicDate":"2016-08-17T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1523,"text":"Environment International","active":true,"publicationSubtype":{"id":10}},"title":"Volcanic air pollution over the Island of Hawai'i: Emissions, dispersal, and composition. Association with respiratory symptoms and lung function in Hawai'i Island school children","docAbstract":"Background
\nKilauea Volcano on the Island of Hawai'i has erupted continuously since 1983, releasing approximately 300–12000 metric tons per day of sulfur dioxide (SO2). SO2 interacts with water vapor to produce an acidic haze known locally as “vog”. The combination of wind speed and direction, inversion layer height, and local terrain lead to heterogeneous and variable distribution of vog over the island, allowing study of respiratory effects associated with chronic vog exposure.
\nObjectives
\nWe characterized the distribution and composition of vog over the Island of Hawai'i, and tested the hypotheses that chronic vog exposure (SO2 and acid) is associated with increased asthma prevalence, respiratory symptoms, and reduced pulmonary function in Hawai'i Island schoolchildren.
\nMethods
\nWe compiled data of volcanic emissions, wind speed, and wind direction over Hawai'i Island since 1992. Community-based researchers then measured 2- to 4-week integrated concentrations of SO2 and fine particulate mass and acidity in 4 exposure zones, from 2002 to 2005, when volcanic SO2 emissions averaged 1600 metric tons per day. Concurrently, community researchers recruited schoolchildren in the 4th and 5th grades of 25 schools in the 4 vog exposure zones, to assess determinants of lung health, respiratory symptoms, and asthma prevalence.
\nResults
\nEnvironmental data suggested 4 different vog exposure zones with SO2, PM2.5, and particulate acid concentrations (mean ± s.d.) as follows: 1) Low (0.3 ± 0.2 ppb, 2.5 ± 1.2 μg/m3, 0.6 ± 1.1 nmol H +/m3), 2) Intermittent (1.6 ± 1.8 ppb, 2.8 ± 1.5 μg/m3, 4.0 ± 6.6 nmol H +/m3), 3) Frequent (10.1 ± 5.2 ppb, 4.8 ± 1.9 μg/m3, 4.3 ± 6.7 nmol H +/m3), and 4) Acid (1.2 ± 0.4 ppb, 7.2 ± 2.3 μg/m3, 25.3 ± 17.9 nmol H +/m3). Participants (1957) in the 4 zones differed in race, prematurity, maternal smoking during pregnancy, environmental tobacco smoke exposure, presence of mold in the home, and physician-diagnosed asthma. Multivariable analysis showed an association between Acid vog exposure and cough and strongly suggested an association with FEV1/FVC < 0.8, but not with diagnosis of asthma, or chronic persistent wheeze or bronchitis in the last 12 months. Conclusions: Hawai'i Island's volcanic air pollution can be very acidic, but contains few co-contaminants originating from anthropogenic sources of air pollution. Chronic exposure to acid vog is associated with increased cough and possibly with reduced FEV1/FVC, but not with asthma or bronchitis. Further study is needed to better understand how volcanic air pollution interacts with host and environmental factors to affect respiratory symptoms, lung function, and lung growth, and to determine acute effects of episodes of increased emissions.
","language":"English","publisher":"Permagon","publisherLocation":"New York","doi":"10.1016/j.envint.2016.03.025","usgsCitation":"Tam, E.K., Miike, R., Labrenz, S., Sutton, A., Elias, T., Davis, J., Chen, Y., Tantisira, K., Dockery, D., and Avol, E., 2016, Volcanic air pollution over the Island of Hawai'i: Emissions, dispersal, and composition. 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Burns School of Medicine, University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":645701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sutton, Andrew ajsutton@usgs.gov","contributorId":156244,"corporation":false,"usgs":true,"family":"Sutton","given":"Andrew","email":"ajsutton@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":645698,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Elias, Tamar 0000-0002-9592-4518 telias@usgs.gov","orcid":"https://orcid.org/0000-0002-9592-4518","contributorId":3916,"corporation":false,"usgs":true,"family":"Elias","given":"Tamar","email":"telias@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":645704,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, James A.","contributorId":69289,"corporation":false,"usgs":true,"family":"Davis","given":"James A.","affiliations":[],"preferred":false,"id":645706,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chen, Yi-Leng","contributorId":173747,"corporation":false,"usgs":false,"family":"Chen","given":"Yi-Leng","email":"","affiliations":[{"id":27289,"text":"Department of Meteorology, University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":645705,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tantisira, Kelan","contributorId":173746,"corporation":false,"usgs":false,"family":"Tantisira","given":"Kelan","email":"","affiliations":[{"id":27288,"text":"Harvard School of Public Health, Harvard University","active":true,"usgs":false}],"preferred":false,"id":645703,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dockery, Douglas","contributorId":173748,"corporation":false,"usgs":false,"family":"Dockery","given":"Douglas","email":"","affiliations":[{"id":27288,"text":"Harvard School of Public Health, Harvard University","active":true,"usgs":false}],"preferred":false,"id":645707,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Avol, Edward","contributorId":173745,"corporation":false,"usgs":false,"family":"Avol","given":"Edward","email":"","affiliations":[{"id":27287,"text":"Keck School of Medicine, University of Southern California","active":true,"usgs":false}],"preferred":false,"id":645702,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70174240,"text":"70174240 - 2016 - Predicting the occurrence of cave-inhabiting fauna based on features of the earth surface environment","interactions":[],"lastModifiedDate":"2016-11-09T14:07:44","indexId":"70174240","displayToPublicDate":"2016-08-17T00:00:00","publicationYear":"2016","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":"Predicting the occurrence of cave-inhabiting fauna based on features of the earth surface environment","docAbstract":"One of the most challenging fauna to study in situ is the obligate cave fauna because of the difficulty of sampling. Cave-limited species display patchy and restricted distributions, but it is often unclear whether the observed distribution is a sampling artifact or a true restriction in range. Further, the drivers of the distribution could be local environmental conditions, such as cave humidity, or they could be associated with surface features that are surrogates for cave conditions. If surface features can be used to predict the distribution of important cave taxa, then conservation management is more easily obtained. We examined the hypothesis that the presence of major faunal groups of cave obligate species could be predicted based on features of the earth surface. Georeferenced records of cave obligate amphipods, crayfish, fish, isopods, beetles, millipedes, pseudoscorpions, spiders, and springtails within the area of Appalachian Landscape Conservation Cooperative in the eastern United States (Illinois to Virginia and New York to Alabama) were assigned to 20 x 20 km grid cells. Habitat suitability for these faunal groups was modeled using logistic regression with twenty predictor variables within each grid cell, such as percent karst, soil features, temperature, precipitation, and elevation. Models successfully predicted the presence of a group greater than 65% of the time (mean = 88%) for the presence of single grid cell endemics, and for all faunal groups except pseudoscorpions. The most common predictor variables were latitude, percent karst, and the standard deviation of the Topographic Position Index (TPI), a measure of landscape rugosity within each grid cell. The overall success of these models points to a number of important connections between the surface and cave environments, and some of these, especially soil features and topographic variability, suggest new research directions. These models should prove to be useful tools in predicting the presence of species in understudied areas.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0160408","usgsCitation":"Christman, M.C., Doctor, D.H., Niemiller, M.L., Weary, D.J., Young, J.A., Zigler, K.S., and Culver, D.C., 2016, Predicting the occurrence of cave-inhabiting fauna based on features of the earth surface environment: PLoS ONE, v. 11, no. 8, e0160408; 19 p., https://doi.org/10.1371/journal.pone.0160408.","productDescription":"e0160408; 19 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071204","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":470657,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0160408","text":"Publisher Index Page"},{"id":330896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Appalachian Landscape Conservation Cooperative","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90,\n 30\n ],\n [\n -90.52734374999999,\n 33.687781758439364\n ],\n [\n -86.7919921875,\n 39.87601941962116\n ],\n [\n -75,\n 45\n ],\n [\n -73.388671875,\n 41.83682786072714\n ],\n [\n -81.03515625,\n 36.03133177633187\n ],\n [\n -90,\n 30\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"8","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-17","publicationStatus":"PW","scienceBaseUri":"582443f4e4b09065cdf3051e","contributors":{"authors":[{"text":"Christman, Mary C.","contributorId":101986,"corporation":false,"usgs":true,"family":"Christman","given":"Mary","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":641669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":641670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niemiller, Matthew L.","contributorId":167679,"corporation":false,"usgs":false,"family":"Niemiller","given":"Matthew","email":"","middleInitial":"L.","affiliations":[{"id":24804,"text":"Illinois Natural History Survey, Prairie Research Institute, University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":641671,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weary, David J. 0000-0002-6115-6397 dweary@usgs.gov","orcid":"https://orcid.org/0000-0002-6115-6397","contributorId":545,"corporation":false,"usgs":true,"family":"Weary","given":"David","email":"dweary@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":641672,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":641668,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zigler, Kirk S.","contributorId":172694,"corporation":false,"usgs":false,"family":"Zigler","given":"Kirk","email":"","middleInitial":"S.","affiliations":[{"id":27083,"text":"Department of Biology, The University of the South, Sewanee, TN 37383","active":true,"usgs":false}],"preferred":false,"id":641673,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Culver, David C.","contributorId":172695,"corporation":false,"usgs":false,"family":"Culver","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":27084,"text":"Department of Environmental Science, American University, 4400 Massachusetts Ave. NW, Washington, DC 20016","active":true,"usgs":false}],"preferred":false,"id":641674,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70174975,"text":"sir20165106 - 2016 - Sediment load and distribution in the lower Skagit River, Skagit County, Washington","interactions":[],"lastModifiedDate":"2016-08-18T10:25:47","indexId":"sir20165106","displayToPublicDate":"2016-08-17T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5106","title":"Sediment load and distribution in the lower Skagit River, Skagit County, Washington","docAbstract":"The Skagit River delivers about 40 percent of all fluvial sediment that enters Puget Sound, influencing flood hazards in the Skagit lowlands, critically important estuarine habitat in the delta, and some of the most diverse and productive agriculture in western Washington. A total of 175 measurements of suspended-sediment load, made routinely from 1974 to 1993, and sporadically from 2006 to 2009, were used to develop and evaluate regression models of sediment transport (also known as “sediment-rating curves”) for estimating suspended-sediment load as a function of river discharge. Using a flow-range model and 75 years of daily discharge record (acquired from 1941 to 2015), the mean annual suspended-sediment load for the Skagit River near Mount Vernon, Washington, was estimated to be 2.5 teragrams (Tg, where 1 Tg = 1 million metric tons). The seasonal model indicates that 74 percent of the total annual suspended‑sediment load is delivered to Puget Sound during the winter storm season (from October through March), but also indicates that discharge is a poor surrogate for suspended‑sediment concentration (SSC) during the summer low-flow season. Sediment-rating curves developed for different time periods revealed that the regression model slope of the SSC-discharge relation increased 66 percent between the periods of 1974–76 and 2006–09 when suspended-sediment samples were collected, implying that changes in sediment supply, channel hydraulics, and (or) basin hydrology occurred between the two time intervals. In the relatively wet water year 2007 (October 1, 2006, through September 30, 2007), an automated sampler was used to collect daily samples of suspended sediment from which an annual load of 4.5 Tg was calculated, dominated by a single large flood event that contributed 1.8 Tg, or 40 percent of the total. In comparison, the annual load calculated for water year 2007 using the preferred flow-range model was 4.8 Tg (+6.7 percent), in close agreement with the measured value.
Particle size affects sediment transport, fate and distribution across watersheds, and therefore is important for predicting how coastal environments, particularly deltas and beaches, will respond to changes in climate and sea-level. Particle-size analysis of winter storm samples indicated that about one-half of the suspended-sediment load consisted of fines (that is, silt- and clay-sized particles smaller than 0.0625 mm in diameter), and the remainder consisted of mostly fine- to medium-sized sand (0.0625–0.5 mm), whereas bedload during winter storm flows (about 1–3 percent of total sediment load) was predominantly composed of medium to coarse sand (0.25–1 mm). A continuous turbidity record from the Anacortes Water Treatment Plant (water years 1999–2013), used as a surrogate for the concentration of fines (R2 = 0.93, p = 4.2E-10, n = 17), confirms that about one-half of the mean annual suspended-sediment load is composed of fines.
The distribution of flow through the delta distributaries (that is, the channels into which the main stem splits as it approaches the delta) is dynamic, with twice as much flow through the North Fork of the Skagit River relative to the South Fork during low-flow conditions, and close to equal flows in the two channels during high-flow conditions. Turbidity, monitored at several locations in the lower river in spring 2009, was essentially uniform among sites, indicating that fines are well mixed in the lower Skagit River system (defined as the Skagit River and all its distributaries downstream of the Mount Vernon streamgage). A strong relation (R2 = 0.95, p = 3.2E-14, n = 21; linear regression) between the concentration of fines and turbidity measured at various locations in summer 2009 indicates that turbidity is an effective surrogate for the concentration of fines, independent of location in the river, under naturally well-mixed fluvial conditions. This relation is especially useful for monitoring suspended sediment in western Washington rivers that are seasonally dominated by glacier meltwater because glacial melting typically produces suspended-sediment concentrations that are not well correlated with discharge. These results provide a comprehensive set of tools to estimate sediment delivery and delta responses of interest to scientists and resource managers including decision-makers examining options for flood hazard mitigation, estuary restoration, and climate change adaptation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165106","collaboration":"A Study by the U.S. Geological Survey Coastal Habitats in Puget Sound (CHIPS) Project","usgsCitation":"Curran, C.A., Grossman, E.E., Mastin, M.C., and Huffman, R.L., 2016, Sediment load and distribution in the lower Skagit River, Skagit County, Washington: U.S. Geological Survey Scientific Investigations Report 2016–5106, 24 p., https://dx.doi.org/10.3133/sir20165106.","productDescription":"vi, 24 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059558","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":326607,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5106/coverthb.jpg"},{"id":326608,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5106/sir20165106.pdf","text":"Report","size":"10.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5106"}],"country":"United States","state":"Washington","county":"Skagit County","otherGeospatial":"Lower Skagit River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.541667,\n 48.466667\n ],\n [\n -122.541667,\n 48.3\n ],\n [\n -122.283333,\n 48.3\n ],\n [\n -122.283333,\n 48.466667\n ],\n [\n -122.541667,\n 48.466667\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402
http://wa.water.usgs.gov
","tableOfContents":"\n- Abstract
\n- Introduction
\n- Data-Collection and Data-Processing Methods
\n- Sediment Load in the Skagit River near Mount Vernon
\n- Water and Sediment Distribution Downstream of Mount Vernon
\n- Turbidity as a Surrogate for Suspended-Sediment Concentration
\n- Summary and Conclusions
\n- Acknowledgments
\n- References Cited
\n
","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-08-17","noUsgsAuthors":false,"publicationDate":"2016-08-17","publicationStatus":"PW","scienceBaseUri":"57b57ca5e4b03bcb0104bb44","contributors":{"authors":[{"text":"Curran, Christopher A. 0000-0001-8933-416X ccurran@usgs.gov","orcid":"https://orcid.org/0000-0001-8933-416X","contributorId":1650,"corporation":false,"usgs":true,"family":"Curran","given":"Christopher","email":"ccurran@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":643474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":2334,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric E.","email":"egrossman@usgs.gov","affiliations":[],"preferred":false,"id":643475,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mastin, Mark C. 0000-0003-4018-7861 mcmastin@usgs.gov","orcid":"https://orcid.org/0000-0003-4018-7861","contributorId":1652,"corporation":false,"usgs":true,"family":"Mastin","given":"Mark","email":"mcmastin@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":643476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huffman, Raegan L. 0000-0001-8523-5439 rhuffman@usgs.gov","orcid":"https://orcid.org/0000-0001-8523-5439","contributorId":1638,"corporation":false,"usgs":true,"family":"Huffman","given":"Raegan","email":"rhuffman@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":643477,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176237,"text":"70176237 - 2016 - Climate change and future fire regimes: Examples from California","interactions":[],"lastModifiedDate":"2016-09-03T21:29:26","indexId":"70176237","displayToPublicDate":"2016-08-17T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1813,"text":"Geoscience Canada","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and future fire regimes: Examples from California","docAbstract":"Climate and weather have long been noted as playing key roles in wildfire activity, and global warming is expected to exacerbate fire impacts on natural and urban ecosystems. Predicting future fire regimes requires an understanding of how temperature and precipitation interact to control fire activity. Inevitably this requires historical analyses that relate annual burning to climate variation. Fuel structure plays a critical role in determining which climatic parameters are most influential on fire activity, and here, by focusing on the diversity of ecosystems in California, we illustrate some principles that need to be recognized in predicting future fire regimes. Spatial scale of analysis is important in that large heterogeneous landscapes may not fully capture accurate relationships between climate and fires. Within climatically homogeneous subregions, montane forested landscapes show strong relationships between annual fluctuations in temperature and precipitation with area burned; however, this is strongly seasonal dependent; e.g., winter temperatures have very little or no effect but spring and summer temperatures are critical. Climate models that predict future seasonal temperature changes are needed to improve fire regime projections. Climate does not appear to be a major determinant of fire activity on all landscapes. Lower elevations and lower latitudes show little or no increase in fire activity with hotter and drier conditions. On these landscapes climate is not usually limiting to fires but these vegetation types are ignition-limited. Moreover, because they are closely juxtaposed with human habitations, fire regimes are more strongly controlled by other direct anthropogenic impacts. Predicting future fire regimes is not rocket science; it is far more complicated than that. Climate change is not relevant to some landscapes, but where climate is relevant, the relationship will change due to direct climate effects on vegetation trajectories, as well as by feedback processes of fire effects on vegetation distribution, plus policy changes in how we manage ecosystems.","language":"English","publisher":"MDPI AG","doi":"10.3390/geosciences6030037","usgsCitation":"Keeley, J.E., and Syphard, A.D., 2016, Climate change and future fire regimes: Examples from California: Geoscience Canada, v. 6, no. 37, 14 p., https://doi.org/10.3390/geosciences6030037.","productDescription":"14 p.","ipdsId":"IP-076461","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470658,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/geosciences6030037","text":"Publisher Index Page"},{"id":328233,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"37","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-17","publicationStatus":"PW","scienceBaseUri":"57cbf42ae4b0f2f0cec3b9ff","contributors":{"authors":[{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":647997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Syphard, Alexandra D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":647998,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70174304,"text":"sim3361 - 2016 - Bedrock geologic map of the Hartland and North Hartland quadrangles, Windsor County, Vermont, and Sullivan and Grafton Counties, New Hampshire","interactions":[],"lastModifiedDate":"2022-09-23T14:48:51.275468","indexId":"sim3361","displayToPublicDate":"2016-08-16T15:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3361","title":"Bedrock geologic map of the Hartland and North Hartland quadrangles, Windsor County, Vermont, and Sullivan and Grafton Counties, New Hampshire","docAbstract":"The bedrock geology of the 7.5-minute Hartland and North Hartland quadrangles, Vermont-New Hampshire, consists of highly deformed and metamorphosed lower Paleozoic metasedimentary, metavolcanic, and metaplutonic rocks of the Bronson Hill anticlinorium (BHA) and the Connecticut Valley trough (CVT). Rocks of the Orfordville anticlinorium on this map occupy the western part of the broader BHA. In the BHA, the Ordovician Ammonoosuc Volcanics and graphitic, sulfidic metapelite of the Partridge Formation are intruded by Ordovician plutonic rocks of the Oliverian Plutonic Suite. The Ordovician rocks are collectively referred to as the Bronson Hill arc. The Ordovician rocks are overlain by the Silurian to Devonian Clough, Fitch, and Littleton Formations. On this map, rocks of the CVT occupy the eastern part of the broader CVT. In the CVT in Vermont, the Silurian to Devonian Shaw Mountain, Waits River, and Gile Mountain Formations form an unconformable autochthonous to parautochthonous cover sequence on the pre-Silurian rocks of the Rowe-Hawley zone above Precambrian basement rocks of the Mount Holly Complex. On this map, however, only the Waits River and Gile Mountain Formations are exposed. Syn- to postmetamorphic rocks include quartz veins and Cretaceous dikes of the White Mountain Igneous Suite.
\nRocks of the BHA occur in a thrust sheet floored by the Monroe fault, which carried a deformed section of plutonic rocks, Ammonoosuc Volcanics, Partridge Formation, Clough Quartzite, and the Fitch and Littleton Formations. The Monroe thrust sheet placed the BHA rocks over the CVT during an early Acadian F1 nappe-stage event prior to peak metamorphism at lower amphibolite facies conditions. Upper and lower plate truncations, mylonite, and local mélange characterize the Monroe fault. F2 doming deformed the Monroe thrust sheet, folded earlier isograds, and created the Meriden antiform and Lebanon dome. Lower greenschist facies (Acadian to Alleghanian) faults such as the Sumner Falls shear zone truncated peak-metamorphic assemblages, isograds, and older F1 folds and faults. Late-stage F3 folds show preferred left-lateral rotation sense and are probably related to late dome-stage Alleghanian deformation or motion along lower greenschist facies faults. The youngest deformation is characterized by Mesozoic brittle faulting and spatially associated kink bands along the Ammonoosuc fault zone, followed by subsequent jointing.
\nCurrently major economic natural resource activities are related to aggregate quarrying in the Ammonoosuc Volcanics at Twin State Sand and Gravel in Hartford, Vt., and Lebanon Crushed Stone in Lebanon, N.H.
\nThis report consists of sheets 1 and 2 as well as an online geographic information systems database that includes contacts of bedrock geologic units, faults, outcrops, structural geologic information, and photographs. Sheet 2 of this report shows three cross sections, a tectonic map, and two brittle features maps that show measured outcrop-scale strike and dip results with summary stereonets and rose diagrams.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3361","collaboration":"Prepared in cooperation with the State of Vermont, Vermont Agency of Natural Resources, Vermont Geological Survey; State of New Hampshire, Department of Environmental Services, New Hampshire Geological Survey; and the National Park Service","usgsCitation":"Walsh, G.J., 2016, Bedrock geologic map of the Hartland and North Hartland quadrangles, Windsor County, Vermont, and Sullivan and Grafton Counties, New Hampshire: U.S. Geological Survey Scientific Investigations Map 3361, 2 sheets, scale 1:24,000, https://doi.org/10.3133/sim3361.","productDescription":"2 Sheets: 51.99 x 37.96 inches and 41.85 x 30.82 inches; Database; Metadata; Read Me; Spatial Data","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-057548","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":399111,"rank":13,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_104493.htm"},{"id":324913,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3361/coverthb3.jpg"},{"id":324914,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3361/sim3361_hartland-sheet1.pdf","text":"Sheet 1 - Geologic Map","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3361"},{"id":325651,"rank":9,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3361/metadata/sim3361_base.zip","text":"SIM 3361 Basemap","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3361"},{"id":325652,"rank":10,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3361/metadata/sim3361_photos.zip","text":"SIM 3361 Photographs","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3361"},{"id":325653,"rank":11,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3361/metadata/sim3361_simplegd.zip","text":"SIM 3361 GIS Database","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3361"},{"id":324915,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3361/sim3361_hartland-sheet2.pdf","text":"Sheet 2 - Cross Sections, Tectonic Map, and Structural Maps","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3361"},{"id":324932,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3361/metadata/metadata.faq.html","text":"SIM 3361 Metadata FAQ","linkFileType":{"id":5,"text":"html"},"description":"SIM 3361"},{"id":325644,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3361/metadata/metadata.html","text":"SIM 3361 Metadata HTML","linkFileType":{"id":5,"text":"html"},"description":"SIM 3361"},{"id":325645,"rank":6,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3361/metadata/metadata.txt","text":"SIM 3361 Metadata Txt","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3361"},{"id":325646,"rank":7,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3361/metadata/metadata.xml","text":"SIM 3361 Metadata (XML)","description":"SIM 3361"},{"id":325647,"rank":8,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3361/metadata/readme.txt","text":"SIM 3361 Readme File","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3361"},{"id":339079,"rank":12,"type":{"id":12,"text":"Errata"},"url":"https://pubs.usgs.gov/sim/3361/sim3361_corrections.txt","text":"Corrections for SIM 3361","linkFileType":{"id":2,"text":"txt"}}],"scale":"24000","country":"United States","state":"New Hampshire, Vermont","county":"Grafton County, Sullivan County, Windsor County","otherGeospatial":"Hartland and North Hartland quadrangles","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.5,\n 43.625\n ],\n [\n -72.5,\n 43.5\n ],\n [\n -72.25,\n 43.5\n ],\n [\n -72.25,\n 43.625\n ],\n [\n -72.5,\n 43.625\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Eastern Geology and Paleoclimate Science Center
U.S. Geological Survey
926A National Center
12201 Sunrise Valley Drive
Reston, VA 20192
http://geology.er.usgs.gov/egpsc/
\nOr
\nGregory J. Walsh
U.S. Geological Survey
P.O. Box 628
87 State Street, Room 228
Montpelier, VT 05602
Email: gwalsh@usgs.gov
","tableOfContents":"\n- Description of Map Units
\n- Correlation of Map Units
\n- Explanation of Map Symbols
\n- Discussion
\n- References Cited
\n
","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2016-08-16","noUsgsAuthors":false,"publicationDate":"2016-08-16","publicationStatus":"PW","scienceBaseUri":"57b42b2ae4b03bcb01039f88","contributors":{"authors":[{"text":"Walsh, Gregory J. 0000-0003-4264-8836 gwalsh@usgs.gov","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":873,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory","email":"gwalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":641742,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70175438,"text":"70175438 - 2016 - Documenting the use of the Long Term Resource Monitoring element’s fish monitoring methodologies throughout the Midwest","interactions":[],"lastModifiedDate":"2017-07-18T09:11:40","indexId":"70175438","displayToPublicDate":"2016-08-16T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5000,"text":"Long Term Resource Monitoring Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"2016-T001","title":"Documenting the use of the Long Term Resource Monitoring element’s fish monitoring methodologies throughout the Midwest","docAbstract":"The Upper Mississippi River Restoration (UMRR) Program’s Long Term Resource Monitoring (LTRM) element is designed to monitor and assess long term trends in the Upper Mississippi River System (UMRS). To accomplish this, standardized methods are used that allow for comparisons across pools and rivers. In recent years, other projects and other agencies have adopted the LTRM fish methodologies for use outside the UMRR. To determine how widespread the use of the Fish Component’s methods are, a twelve question survey was delivered via SurveyMonkey.com through the states comprising the American Fisheries Society (AFS) North Central Division and the Upper Mississippi River Conservation Committee. Approximately 2,000 professionals were reached with ≈11 percent participating. Results indicate that nearly all (95 percent) respondents use standardized methods in their sampling and 48 percent are familiar with the LTRM fish methodologies. Roughly one-third (35 percent) of all respondents have used the methods in the past and most (78 percent) of those have modified the methods to suit the information needs specific to their fishery. Results indicate that the LTRM methods have indeed spread outside the UMRR and are now a well-known and potentially widely used technique to sample fish communities.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Solomon, L.E., and Casper, A.F., 2016, Documenting the use of the Long Term Resource Monitoring element’s fish monitoring methodologies throughout the Midwest: Long Term Resource Monitoring Technical Report 2016-T001, v, 15 p.","productDescription":"v, 15 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-067086","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":326397,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/mis/ltrmp2016-t001/ltrmp2016t001.pdf","text":"Report","size":"4.32 MB","linkFileType":{"id":1,"text":"pdf"},"description":"LTRM 2016-Too1"},{"id":326396,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/mis/ltrmp2016-t001/coverthb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-87.800477,42.49192],[-87.812461,42.232278],[-87.524844,41.691635],[-87.531646,39.347888],[-87.640435,39.166727],[-87.496537,38.778571],[-87.975511,38.232742],[-88.158207,37.664542],[-88.078046,37.532029],[-88.450127,37.411717],[-88.490068,37.067874],[-89.058036,37.188767],[-89.171881,37.068184],[-89.202607,36.601576],[-89.343753,36.630991],[-89.429311,36.481875],[-89.55264,36.577178],[-89.527029,36.341679],[-89.703511,36.243412],[-89.615128,36.113816],[-89.733095,36.000608],[-90.368718,35.995812],[-90.075934,36.281485],[-90.157136,36.484317],[-94.617919,36.499414],[-94.605734,39.122204],[-95.082714,39.516712],[-94.876344,39.806894],[-95.382957,40.027112],[-95.870481,40.71248],[-95.929889,41.415155],[-96.096186,41.547192],[-96.077543,41.777824],[-96.628741,42.757532],[-96.448134,43.104452],[-96.598396,43.495074],[-96.453049,43.500415],[-96.452948,45.268925],[-96.835451,45.586129],[-96.587093,45.816445],[-96.559271,46.058272],[-96.789572,46.639079],[-96.851293,47.589264],[-97.139497,48.153108],[-97.108655,48.691484],[-97.238387,48.982631],[-95.153711,48.998903],[-95.153314,49.384358],[-94.974286,49.367738],[-94.555835,48.716207],[-93.741843,48.517347],[-92.984963,48.623731],[-92.634931,48.542873],[-92.698824,48.494892],[-92.341207,48.23248],[-92.066269,48.359602],[-91.542512,48.053268],[-90.88548,48.245784],[-90.703702,48.096009],[-89.489226,48.014528],[-90.735927,47.624343],[-92.058888,46.809938],[-92.025789,46.710839],[-91.781928,46.697604],[-90.880358,46.957661],[-90.78804,46.844886],[-90.920813,46.637432],[-90.327548,46.550262],[-89.929158,46.29975],[-88.141001,45.930608],[-88.13364,45.823128],[-87.831442,45.714938],[-87.887828,45.358122],[-87.647454,45.345232],[-87.72796,45.207956],[-87.59188,45.094689],[-87.983065,44.72073],[-87.970702,44.530292],[-87.021088,45.296541],[-87.73063,43.893862],[-87.910172,43.236634],[-87.800477,42.49192]]],[[[-86.880572,45.331467],[-86.956192,45.351179],[-86.82177,45.427602],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Iowa\",\"nation\":\"USA \"}}]}","contact":"Upper Midwest Environmental Science Center
2630 Fanta Reed Road
La Crosse, WI 54603
http://www.umesc.usgs.gov/
http://www.umesc.usgs.gov/ltrmp.html
","tableOfContents":"- Preface
- Abstract
- Introduction
- Methods
- Results
- Discussion
- Acknowledgments
- References
- Appendixes
","publishedDate":"2016-08-16","noUsgsAuthors":false,"publicationDate":"2016-08-16","publicationStatus":"PW","scienceBaseUri":"57b42b2fe4b03bcb01039f8a","contributors":{"authors":[{"text":"Solomon, Levi E.","contributorId":173605,"corporation":false,"usgs":false,"family":"Solomon","given":"Levi","email":"","middleInitial":"E.","affiliations":[{"id":12814,"text":"USGS, Upper Midwest Environmental Sciences Center","active":true,"usgs":false}],"preferred":false,"id":645582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casper, Andrew F.","contributorId":173606,"corporation":false,"usgs":false,"family":"Casper","given":"Andrew","email":"","middleInitial":"F.","affiliations":[{"id":34075,"text":"University of Illinois; Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":645583,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70168423,"text":"70168423 - 2016 - United States Biological Survey: A compendium of its history, personalities, impacts, and conflicts","interactions":[],"lastModifiedDate":"2016-08-15T14:01:00","indexId":"70168423","displayToPublicDate":"2016-08-15T15:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"United States Biological Survey: A compendium of its history, personalities, impacts, and conflicts","docAbstract":"In 1885, a small three-person unit was created in the U.S. Department of Agriculture to gather and analyze information on bird migrations. Originally called the Section of Economic Ornithology, over the next 55 years this unit underwent three name changes and accumulated ever-increasing responsibilities for the nation’s faunal resources. Transferred to the Department of the Interior in 1939, this agency was merged with the Bureau of Fisheries in 1940 to create the U.S. Fish and Wildlife Service (FWS). The following account details the chronology, directorship, and growth of the U.S. Bureau of Biological Survey up to its renovation as the FWS. This account also profiles some employees of the Biological Survey.
","language":"English","publisher":"Museum of Texas Tech University","usgsCitation":"2016, United States Biological Survey: A compendium of its history, personalities, impacts, and conflicts, v. 64, 123 p.","productDescription":"123 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062342","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":317980,"type":{"id":15,"text":"Index Page"},"url":"https://www.nsrl.ttu.edu/publications/specpubs"},{"id":326487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57b2d9a8e4b03bcb010287c4","contributors":{"editors":[{"text":"Schmidly, David J.","contributorId":73660,"corporation":false,"usgs":true,"family":"Schmidly","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":645495,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Tydeman, W. E.","contributorId":173690,"corporation":false,"usgs":false,"family":"Tydeman","given":"W.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":645496,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Gardner, Alfred L. 0000-0002-4945-1641 agardner@usgs.gov","orcid":"https://orcid.org/0000-0002-4945-1641","contributorId":412,"corporation":false,"usgs":true,"family":"Gardner","given":"Alfred L.","email":"agardner@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":645497,"contributorType":{"id":2,"text":"Editors"},"rank":3}]}}
,{"id":70175490,"text":"70175490 - 2016 - Environmental change makes robust ecological networks fragile","interactions":[],"lastModifiedDate":"2016-08-15T13:36:50","indexId":"70175490","displayToPublicDate":"2016-08-15T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Environmental change makes robust ecological networks fragile","docAbstract":"Complex ecological networks appear robust to primary extinctions, possibly due to consumers’ tendency to specialize on dependable (available and persistent) resources. However, modifications to the conditions under which the network has evolved might alter resource dependability. Here, we ask whether adaptation to historical conditions can increase community robustness, and whether such robustness can protect communities from collapse when conditions change. Using artificial life simulations, we first evolved digital consumer-resource networks that we subsequently subjected to rapid environmental change. We then investigated how empirical host–parasite networks would respond to historical, random and expected extinction sequences. In both the cases, networks were far more robust to historical conditions than new ones, suggesting that new environmental challenges, as expected under global change, might collapse otherwise robust natural ecosystems.
","language":"English","publisher":"Springer Nature","doi":"10.1038/ncomms12462","collaboration":"European Commission Joint Research Centre","usgsCitation":"Strona, G., and Lafferty, K.D., 2016, Environmental change makes robust ecological networks fragile: Nature Communications, v. 7, Article 12462; 7 p., https://doi.org/10.1038/ncomms12462.","productDescription":"Article 12462; 7 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075912","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470659,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/ncomms12462","text":"Publisher Index Page"},{"id":326482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-11","publicationStatus":"PW","scienceBaseUri":"57b2d9a6e4b03bcb010287ba","contributors":{"authors":[{"text":"Strona, Giovanni","contributorId":62940,"corporation":false,"usgs":true,"family":"Strona","given":"Giovanni","email":"","affiliations":[],"preferred":false,"id":645454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":645453,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175489,"text":"70175489 - 2016 - Total belowground carbon flux in subalpine forests is related to leaf area index, soil nitrogen, and tree height","interactions":[],"lastModifiedDate":"2016-08-15T13:40:20","indexId":"70175489","displayToPublicDate":"2016-08-15T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Total belowground carbon flux in subalpine forests is related to leaf area index, soil nitrogen, and tree height","docAbstract":"In forests, total belowground carbon (C) flux (TBCF) is a large component of the C budget and represents a critical pathway for delivery of plant C to soil. Reducing uncertainty around regional estimates of forest C cycling may be aided by incorporating knowledge of controls over soil respiration and TBCF. Photosynthesis, and presumably TBCF, declines with advancing tree size and age, and photosynthesis increases yet C partitioning to TBCF decreases in response to high soil fertility. We hypothesized that these causal relationships would result in predictable patterns of TBCF, and partitioning of C to TBCF, with natural variability in leaf area index (LAI), soil nitrogen (N), and tree height in subalpine forests in the Rocky Mountains, USA. Using three consecutive years of soil respiration data collected from 22 0.38-ha locations across three 1-km2 subalpine forested landscapes, we tested three hypotheses: (1) annual soil respiration and TBCF will show a hump-shaped relationship with LAI; (2) variability in TBCF unexplained by LAI will be related to soil nitrogen (N); and (3) partitioning of C to TBCF (relative to woody growth) will decline with increasing soil N and tree height. We found partial support for Hypothesis 1 and full support for Hypotheses 2 and 3. TBCF, but not soil respiration, was explained by LAI and soil N patterns (r2 = 0.49), and the ratio of annual TBCF to TBCF plus aboveground net primary productivity (ANPP) was related to soil N and tree height (r2 = 0.72). Thus, forest C partitioning to TBCF can vary even within the same forest type and region, and approaches that assume a constant fraction of TBCF relative to ANPP may be missing some of this variability. These relationships can aid with estimates of forest soil respiration and TBCF across landscapes, using spatially explicit forest data such as national inventories or remotely sensed data products.
","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.1418","usgsCitation":"Berryman, E.M., Ryan, M., Bradford, J.B., Hawbaker, T., and Birdsey, R., 2016, Total belowground carbon flux in subalpine forests is related to leaf area index, soil nitrogen, and tree height: Ecosphere, v. 7, no. 8, e01418; 16 p., https://doi.org/10.1002/ecs2.1418.","productDescription":"e01418; 16 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069872","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":470660,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1418","text":"Publisher Index Page"},{"id":326484,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57b2d9a8e4b03bcb010287c2","contributors":{"authors":[{"text":"Berryman, Erin Michele 0000-0001-8699-2474 eberryman@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-2474","contributorId":5765,"corporation":false,"usgs":true,"family":"Berryman","given":"Erin","email":"eberryman@usgs.gov","middleInitial":"Michele","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":645447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ryan, Michael G.","contributorId":101580,"corporation":false,"usgs":true,"family":"Ryan","given":"Michael G.","affiliations":[],"preferred":false,"id":645450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":645448,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":645449,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Birdsey, R.","contributorId":14670,"corporation":false,"usgs":true,"family":"Birdsey","given":"R.","email":"","affiliations":[],"preferred":false,"id":645451,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70175484,"text":"70175484 - 2016 - Short-period volcanic gas precursors to phreatic eruptions: Insights from Poás Volcano, Costa Rica","interactions":[],"lastModifiedDate":"2016-08-15T09:27:05","indexId":"70175484","displayToPublicDate":"2016-08-15T10:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Short-period volcanic gas precursors to phreatic eruptions: Insights from Poás Volcano, Costa Rica","docAbstract":"Volcanic eruptions involving interaction with water are amongst the most violent and unpredictable geologic phenomena on Earth. Phreatic eruptions are exceptionally difficult to forecast by traditional geophysical techniques. Here we report on short-term precursory variations in gas emissions related to phreatic blasts at Poás volcano, Costa Rica, as measured with an in situ multiple gas analyzer that was deployed at the edge of the erupting lake. Gas emitted from this hyper-acid crater lake approaches magmatic values of SO2/CO2 1–6 days prior to eruption. The SO2 flux derived from magmatic degassing through the lake is measureable by differential optical absorption spectrometry (sporadic campaign measurements), which allows us to constrain lake gas output and input for the major gas species during eruptive and non-eruptive periods. We can further calculate power supply to the hydrothermal system using volatile mass balance and thermodynamics, which indicates that the magmatic heat flux into the shallow hydrothermal system increases from ∼27 MW during quiescence to ∼59 MW during periods of phreatic events. These transient pulses of gas and heat from the deeper magmatic system generate both phreatic eruptions and the observed short-term changes in gas composition, because at high gas flux scrubbing of sulfur by the hydrothermal system is both kinetically and thermodynamically inhibited whereas CO2gas is always essentially inert in hyperacid conditions. Thus, the SO2/CO2 of lake emissions approaches magmatic values as gas and power supply to the sub-limnic hydrothermal system increase, vaporizing fluids and priming the hydrothermal system for eruption. Our results suggest that high-frequency real-time gas monitoring could provide useful short-term eruptive precursors at volcanoes prone to phreatic explosions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2016.02.056","usgsCitation":"de Moor, M., Aiuppa, A., Pacheco, J., Avard, G., Kern, C., Liuzzo, M., Martinez, M., Giudice, G., and Fischer, T.P., 2016, Short-period volcanic gas precursors to phreatic eruptions: Insights from Poás Volcano, Costa Rica: Earth and Planetary Science Letters, v. 442, p. 218-227, https://doi.org/10.1016/j.epsl.2016.02.056.","productDescription":"10 p.","startPage":"218","endPage":"227","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064403","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470661,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2016.02.056","text":"Publisher Index Page"},{"id":326475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Costa Rica","otherGeospatial":"Poás Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.24659729003906,\n 10.245836915434852\n ],\n [\n -84.24659729003906,\n 10.28130896828769\n ],\n [\n -84.2072868347168,\n 10.28130896828769\n ],\n [\n -84.2072868347168,\n 10.245836915434852\n ],\n [\n -84.24659729003906,\n 10.245836915434852\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"442","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57b2d9a8e4b03bcb010287c0","contributors":{"authors":[{"text":"de Moor, Maarten","contributorId":173676,"corporation":false,"usgs":false,"family":"de Moor","given":"Maarten","email":"","affiliations":[{"id":27271,"text":"Observatorio Volcanológico y Sismológico de Costa Rica, Universidad Nacional, Heredia, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":645420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aiuppa, Alessandro","contributorId":173677,"corporation":false,"usgs":false,"family":"Aiuppa","given":"Alessandro","affiliations":[{"id":27272,"text":"Dipartimento DiSTeM, Università di Palermo, Palermo, Italy","active":true,"usgs":false}],"preferred":false,"id":645421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pacheco, Javier","contributorId":173678,"corporation":false,"usgs":false,"family":"Pacheco","given":"Javier","email":"","affiliations":[{"id":27271,"text":"Observatorio Volcanológico y Sismológico de Costa Rica, Universidad Nacional, Heredia, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":645422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Avard, Geoffroy","contributorId":173679,"corporation":false,"usgs":false,"family":"Avard","given":"Geoffroy","email":"","affiliations":[{"id":27271,"text":"Observatorio Volcanológico y Sismológico de Costa Rica, Universidad Nacional, Heredia, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":645423,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":645419,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liuzzo, Marco","contributorId":173680,"corporation":false,"usgs":false,"family":"Liuzzo","given":"Marco","email":"","affiliations":[{"id":27273,"text":"Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Palermo, Italy","active":true,"usgs":false}],"preferred":false,"id":645424,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Martinez, Maria","contributorId":173681,"corporation":false,"usgs":false,"family":"Martinez","given":"Maria","email":"","affiliations":[{"id":27271,"text":"Observatorio Volcanológico y Sismológico de Costa Rica, Universidad Nacional, Heredia, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":645425,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Giudice, Gaetano","contributorId":173682,"corporation":false,"usgs":false,"family":"Giudice","given":"Gaetano","email":"","affiliations":[{"id":27273,"text":"Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Palermo, Italy","active":true,"usgs":false}],"preferred":false,"id":645426,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fischer, Tobias P.","contributorId":12754,"corporation":false,"usgs":true,"family":"Fischer","given":"Tobias","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":645427,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70175854,"text":"70175854 - 2016 - Environmental DNA mapping of Zebra Mussel populations","interactions":[],"lastModifiedDate":"2016-08-31T10:41:54","indexId":"70175854","displayToPublicDate":"2016-08-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Environmental DNA mapping of Zebra Mussel populations","docAbstract":"Environmental DNA (eDNA) has become a popular tool for detecting aquatic invasive species, but advancements have made it possible to potentially answer other questions like reproduction, movement, and abundance of the targeted organism. In this study we developed a Zebra Mussel (Dreissena polymorpha) eDNA protocol. We then determined if this assay could be used to help determine Zebra Mussel biomass in a lake with a well-established population of Zebra Mussels and a lake with an emerging population of mussels. Our eDNA assay detected DNA of Zebra Mussels but not DNA from more than 20 other species of fish and mussels, many commonly found in Minnesota waters. Our assay did not predict biomass. We did find that DNA from Zebra Mussels accumulated in softer substrates in both lakes, even though the mussels were predominately on the harder substrates. Therefore, we concluded that eDNA may be useful to detect the presence of Zebra Mussels in these lakes but our assay/approach could not predict biomass.","language":"English","publisher":"Legislative-Citizen Commission on Minnesota Resources (LCCMR)","usgsCitation":"Amberg, J., and Merkes, C.M., 2016, Environmental DNA mapping of Zebra Mussel populations, 10 p.","productDescription":"10 p.","ipdsId":"IP-077822","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":328100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":327039,"type":{"id":15,"text":"Index Page"},"url":"https://www.lccmr.leg.mn/projects/2013-index.html#201306f"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffb3e4b0f2f0cebfc25c","contributors":{"authors":[{"text":"Amberg, Jon 0000-0002-8351-4861 jamberg@usgs.gov","orcid":"https://orcid.org/0000-0002-8351-4861","contributorId":149785,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":646453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merkes, Christopher M. 0000-0001-8191-627X cmerkes@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-627X","contributorId":139516,"corporation":false,"usgs":true,"family":"Merkes","given":"Christopher","email":"cmerkes@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":646454,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176234,"text":"70176234 - 2016 - The sensitivity of WRF downscaled precipitation in Puerto Rico to cumulus parameterization and interior grid nudging","interactions":[],"lastModifiedDate":"2016-10-21T13:21:01","indexId":"70176234","displayToPublicDate":"2016-08-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5202,"text":"Journal of Applied Meteorology and Climatology","onlineIssn":"1558-8432","printIssn":"1558-8424","active":true,"publicationSubtype":{"id":10}},"title":"The sensitivity of WRF downscaled precipitation in Puerto Rico to cumulus parameterization and interior grid nudging","docAbstract":"The sensitivity of the Weather Research and Forecasting Model (WRF) simulated precipitation\nover Puerto Rico is evaluated using multiple combinations of cumulus parameterization (CP)\nschemes and interior grid nudging. NCEP-DOE AMIP-II reanalysis (R-2) is downscaled to 2-\n km horizontal grid spacing with both convective permitting simulations (CP active only in the 49 middle and outer domains) and CP schemes active in all domains. The results generally show\nlower simulated precipitation amounts compared to the observations, regardless of WRF\nconfiguration. However, activating the CP schemes in the inner domain improves the annual cycle, intensity, and placement of rainfall compared to the convective permitting simulations.\nFurthermore, the use of interior grid nudging techniques in the outer domains improves the\nplacement and intensity of rainfall in the inner domain. Incorporating a CP scheme at convective\npermitting scales (< 4 km) and grid nudging at non-convective permitting scales (> 4 km)\nimproves the island average correlation of precipitation by 0.05 to 0.2 and reduces the island\naverage RMSE by up to 40 mm on average over relying on the explicit microphysics at\nconvective permitting scales with grid nudging. Projected changes in summer precipitation between 2040-2042 and 1985-1987 using WRF to downscale CCSM4 ranges from a 2.6 mm\naverage increase to 81.9 mm average decrease, depending on the choice of CP scheme. The differences are only associated with differences between WRF configurations, which indicates\nthe importance of CP scheme for projected precipitation change as well as historical accuracy.","language":"English","publisher":"American Meteorology Society","doi":"10.1175/JAMC-D-16-0121.1","usgsCitation":"Wootten, A., Bowden, J., Boyles, R., and Terando, A.J., 2016, The sensitivity of WRF downscaled precipitation in Puerto Rico to cumulus parameterization and interior grid nudging: Journal of Applied Meteorology and Climatology, v. 55, p. 2263-2281, https://doi.org/10.1175/JAMC-D-16-0121.1.","productDescription":"19 p.","startPage":"2263","endPage":"2281","ipdsId":"IP-076983","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":470662,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jamc-d-16-0121.1","text":"Publisher Index 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,{"id":70175750,"text":"70175750 - 2016 - Efficacy of spray –Dried Pseudomonas fluorescens, strain CL145A (Zequanox®), for controlling Zebra Mussels (Dreissena polymorpha) within Lake Minnetonka, MN enclosures","interactions":[],"lastModifiedDate":"2016-08-31T10:46:06","indexId":"70175750","displayToPublicDate":"2016-08-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Efficacy of spray –Dried Pseudomonas fluorescens, strain CL145A (Zequanox®), for controlling Zebra Mussels (Dreissena polymorpha) within Lake Minnetonka, MN enclosures","docAbstract":"The efficacy of whole water column and subsurface applications of the biopesticide Zequanox®, a commercially prepared spray-dried powder formulation of Pseudomonas fluorescens (strain CL145A), were evaluated for controlling zebra mussels (Dreissena polymorpha) within 27-m2 enclosures in Lake Minnetonka (Deephaven, Minnesota). Five treatments consisting of (1) two whole water column Zequanox applications, (2) two subsurface Zequanox applications, and (3) an untreated control were completed on each of three independent treatment days during September 2014. The two types of samplers used in the study were (1) type 1 samplers, which were custom built multi-plate samplers (wood, perforated aluminum, and tile substrates) that were placed into Robinson’s Bay in June of 2013 to allow for natural colonization by zebra mussels, and (2) type 2 samplers, which consisted of zebra mussels adhering to perforated aluminum trays that were placed into mesh containment bags. One day prior to treatment, three individual samplers of each type were distributed to test enclosures and exposed to a randomly assigned treatment. Sampling to determine the zebra mussel biomass adhering to type 1 samplers and the survival assessments for zebra mussels contained in type 2 samplers were completed ~40 days after exposure. The zebra mussel biomass adhering to type 1 samplers and the survival of zebra mussels contained in type 2 samplers were significantly less in groups treated with the highest Zequanox concentrations and in groups that received whole water column applications than comparable groups treated with lower Zequanox concentrations and subsurface applications. However, standardization of biomass and survival results to the amount of Zequanox applied showed that the lower concentrations and subsurface applications were more cost efficient, with respect to product used, at reducing zebra mussel biomass and for inducing zebra mussel mortality. Although the subsurface application methods and lower treatment concentrations were more cost efficient, biological significance and management goals should be evaluated prior to selecting the application method. Development and refinement of additional application techniques may improve the utility of the subsurface Zequanox applications.","language":"English","publisher":"Legislative-Citizen Commission on Minnesota Resources (LCCMR)","usgsCitation":"Luoma, J.A., and Severson, T.J., 2016, Efficacy of spray –Dried Pseudomonas fluorescens, strain CL145A (Zequanox®), for controlling Zebra Mussels (Dreissena polymorpha) within Lake Minnetonka, MN enclosures, 20 p.","productDescription":"20 p.","ipdsId":"IP-077598","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":328101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":326871,"type":{"id":15,"text":"Index Page"},"url":"https://www.lccmr.leg.mn/projects/2013-index.html#201306f"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffb2e4b0f2f0cebfc256","contributors":{"authors":[{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":646304,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Severson, Todd J. 0000-0001-5282-3779 tseverson@usgs.gov","orcid":"https://orcid.org/0000-0001-5282-3779","contributorId":4749,"corporation":false,"usgs":true,"family":"Severson","given":"Todd","email":"tseverson@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":646305,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175101,"text":"sir20165109 - 2016 - Network global navigation satellite system survey to harmonize water-surface elevation data for the Rainy River Basin","interactions":[],"lastModifiedDate":"2016-08-15T13:49:05","indexId":"sir20165109","displayToPublicDate":"2016-08-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5109","title":"Network global navigation satellite system survey to harmonize water-surface elevation data for the Rainy River Basin","docAbstract":"Continuously recording water-level streamgages in Rainy Lake and Namakan Reservoir are used to regulate water levels according to rule curves established in 2000 by the International Joint Commission; however, water levels at streamgages were referenced to a variety of vertical datums, confounding efforts to model the flow of water through the system, regulate water levels during periods of high inflow, and evaluate the effectiveness of the rule curves. In October 2014, the U.S. Geological Survey, Natural Resources Canada, International Joint Commission, and National Park Service began a joint field study with the goal of obtaining precise elevations referenced to a uniform vertical datum for all reference marks used to set water levels at streamgages throughout Rainy Lake and Namakan Reservoir. This report was prepared by the U.S. Geological Survey in cooperation with Natural Resources Canada, International Joint Commission, and National Park Service.
Three field crews deployed Global Navigation Satellite System receivers statically over 16 reference marks colocated with active and discontinued water-level streamgages throughout Rainy River, Rainy Lake, Namakan Reservoir, and select tributaries of Rainy Lake and Namakan Reservoir. A Global Navigation Satellite System receiver also was deployed statically over a National Geodetic Survey cooperative base network control station for use as a quality-control reference mark. Satellite data were collected simultaneously during a 5-day period and processed independently by the U.S. Geological Survey and Natural Resources Canada to obtain accurate positioning and elevations for the 17 surveyed reference marks. Processed satellite data were used to convert published water levels to elevations above sea level referenced to the Canadian Geodetic Vertical Datum of 2013 in order to compare water-surface elevations referenced to a uniform vertical datum throughout the study area. In this report, an “offset” refers to the correction applied to published data from a particular streamgage to produce elevation data referenced to a specified vertical datum.
Offsets were applied to water-level data from surveyed streamgages to further evaluate the accuracy and utility of updated reference mark elevations presented in this report. Daily mean water levels from active streamgages surveyed in this study were converted to water-surface elevations referenced to the Canadian Geodetic Vertical Datum of 2013. Graphical comparisons of water-surface elevations for streamgages in Namakan Reservoir, Rainy Lake, and selected rivers are presented (referencing the Canadian Geodetic Vertical Datum of 2013). Offsets presented in this report can be used in the evaluation of rule curves and in flood damage curves that fully assess the benefits of one regulation approach over another. In addition, offsets may be used to calibrate hydraulic models developed for four narrows that connect lakes of Namakan Reservoir, refine digital elevation models, and support modeling studies designed to assess the effects of rule curves on aquatic vegetation, benthic invertebrates, northern pike, and walleye.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165109","collaboration":"Prepared in cooperation with Natural Resources Canada, the International Joint Commission, and the National Park Service","usgsCitation":"Ziegeweid, J.R., Silliker, R.J., Densmore, B.K., and Krahulik, Justin, 2016, Network Global Navigation Satellite System survey to harmonize water-surface elevation data for the Rainy River Basin: U.S. Geological Survey Scientific Investigations Report 2016–5109, 20 p., https://dx.doi.org/10.3133/sir20165109.","productDescription":"Report: vi, 20 p.; Appendixes 1-3","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-075640","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":326427,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5109/sir20165109_appendix2","text":"Appendix 2","size":"154 MB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2016–5109 Appendix 2"},{"id":326426,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5109/sir20165109_appendix1.xlsx","text":"Appendix 1","size":"269 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5109 Appendix 1"},{"id":326425,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5109/sir20165109.pdf","text":"Report","size":"1.41 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5109"},{"id":326424,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5109/coverthb.jpg"},{"id":326428,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5109/sir20165109_appendix3.xlsx","text":"Appendix 3","size":"22 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5109 Appendix 3"}],"country":"Canada, United States","state":"Minnesota, Ontario","otherGeospatial":"Rainy River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.63372802734375,\n 48.17158081783164\n ],\n [\n -93.63372802734375,\n 48.90444878143716\n ],\n [\n -92.20001220703125,\n 48.90444878143716\n ],\n [\n -92.20001220703125,\n 48.17158081783164\n ],\n [\n -93.63372802734375,\n 48.17158081783164\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.82025146484375,\n 48.40732607972984\n ],\n [\n -94.82025146484375,\n 49.0306652257167\n ],\n [\n -93.89190673828125,\n 49.0306652257167\n ],\n [\n -93.89190673828125,\n 48.40732607972984\n ],\n [\n -94.82025146484375,\n 48.40732607972984\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Minnesota Water Science Center
U.S. Geological Survey
2280 Woodale Drive
Mounds View, Minnesota 55112
\nhttp://mn.water.usgs.gov/
","tableOfContents":"\n- Acknowledgments
\n- Abstract
\n- Introduction
\n- Methods
\n- Global Navigation Satellite System Surveys
\n- Survey Comparisons
\n- Limitations of the Study
\n- Summary
\n- References Cited
\n- Appendixes 1–3
\n
\n
\n
\n
","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-08-15","noUsgsAuthors":false,"publicationDate":"2016-08-15","publicationStatus":"PW","scienceBaseUri":"57b2d9a7e4b03bcb010287be","contributors":{"authors":[{"text":"Ziegeweid, Jeffrey R. 0000-0001-7797-3044 jrziege@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-3044","contributorId":4166,"corporation":false,"usgs":true,"family":"Ziegeweid","given":"Jeffrey","email":"jrziege@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":643920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silliker, R. Jason","contributorId":173254,"corporation":false,"usgs":false,"family":"Silliker","given":"R.","email":"","middleInitial":"Jason","affiliations":[{"id":7219,"text":"Natural Resources Canada","active":true,"usgs":false}],"preferred":false,"id":643921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Densmore, Brenda K. 0000-0003-2429-638X bdensmore@usgs.gov","orcid":"https://orcid.org/0000-0003-2429-638X","contributorId":4896,"corporation":false,"usgs":true,"family":"Densmore","given":"Brenda","email":"bdensmore@usgs.gov","middleInitial":"K.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":643922,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krahulik, Justin 0000-0003-0917-9468 jkrahuli@usgs.gov","orcid":"https://orcid.org/0000-0003-0917-9468","contributorId":139523,"corporation":false,"usgs":true,"family":"Krahulik","given":"Justin","email":"jkrahuli@usgs.gov","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":643923,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70175749,"text":"70175749 - 2016 - Development of targeted delivery techniques for Zequanox®","interactions":[],"lastModifiedDate":"2016-08-31T10:46:47","indexId":"70175749","displayToPublicDate":"2016-08-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Development of targeted delivery techniques for Zequanox®","docAbstract":"The effects of water temperature and concentration on the physical characteristics of Zequanox®, a dead-cell spray-dried powder formulation of Pseudomonas fluorescens (strain CL145A) used for controlling invasive dreissenid mussels (zebra mussel, Dreissena polymorpha, and quagga mussel, Dreissena bugensis), were investigated to determine optimal temperature-specific concentrations and delivery techniques for use during open-water subsurface Zequanox applications. Temperature-controlled laboratory tests evaluated viscosity, settling, stratification, and buoyancy of various concentrations of Zequanox suspension in water to select an optimal target viscosity for Zequanox applications. A two-step linear regression procedure was used to create a temperature-specific Zequanox prediction model from the viscosity data. The prediction model and subsurface application techniques were validated by conducting three independent outdoor pond trials at temperatures of ~9, 14, and 20°C. During these outdoor trials, subsurface applications of Zequanox at concentrations predicted by the model were performed and water samples were collected at varying depths and analyzed via spectroscopy to determine Zequanox concentration and dispersion. Although the predicted Zequanox concentrations and delivery techniques used resulted in successfully maintaining lethal Zequanox concentrations in the bottom 7.5 cm of the water column for the duration of the exposure, a revised prediction model is also provided for more accurately selecting temperature-specific Zequanox concentrations.","language":"English","publisher":"Legislative-Citizen Commission on Minnesota Resources (LCCMR)","usgsCitation":"Severson, T.J., and Luoma, J.A., 2016, Development of targeted delivery techniques for Zequanox®, 14 p.","productDescription":"14 p.","ipdsId":"IP-077367","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":328102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":326870,"type":{"id":15,"text":"Index Page"},"url":"https://www.lccmr.leg.mn/projects/2013-index.html#201306f"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffb0e4b0f2f0cebfc231","contributors":{"authors":[{"text":"Severson, Todd J. 0000-0001-5282-3779 tseverson@usgs.gov","orcid":"https://orcid.org/0000-0001-5282-3779","contributorId":4749,"corporation":false,"usgs":true,"family":"Severson","given":"Todd","email":"tseverson@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":646302,"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":646303,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175479,"text":"70175479 - 2016 - Geomorphological control on variably saturated hillslope hydrology and slope instability","interactions":[],"lastModifiedDate":"2018-03-08T15:54:10","indexId":"70175479","displayToPublicDate":"2016-08-12T17:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphological control on variably saturated hillslope hydrology and slope instability","docAbstract":"In steep topography, the processes governing variably saturated subsurface hydrologic response and the interparticle stresses leading to shallow landslide initiation are physically linked. However, these processes are usually analyzed separately. Here, we take a combined approach, simultaneously analyzing the influence of topography on both hillslope hydrology and the effective stress fields within the hillslope itself. Clearly, runoff and saturated groundwater flow are dominated by gravity and, ultimately, by topography. Less clear is how landscape morphology influences flows in the vadose zone, where transient fluxes are usually taken to be vertical. We aim to assess and quantify the impact of topography on both saturated and unsaturated hillslope hydrology and its effects on shallow slope stability. Three real hillslope morphologies (concave, convex, and planar) are analyzed using a 3-D, physically based, distributed model coupled with a module for computation of the probability of failure, based on the infinite slope assumption. The results of the analyses, which included parameter uncertainty analysis of the results themselves, show that convex and planar slopes are more stable than concave slopes. Specifically, under the same initial, boundary, and infiltration conditions, the percentage of unstable areas ranges from 1.3% for the planar hillslope, 21% for convex, to a maximum value of 33% for the concave morphology. The results are supported by a sensitivity analysis carried out to examine the effect of initial conditions and rainfall intensity.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2015WR017626","usgsCitation":"Giuseppe, F., Simoni, S., Godt, J.W., Lu, N., and Rigon, R., 2016, Geomorphological control on variably saturated hillslope hydrology and slope instability: Water Resources Research, v. 52, no. 6, p. 4590-4607, https://doi.org/10.1002/2015WR017626.","productDescription":"18 p.","startPage":"4590","endPage":"4607","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070797","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":326470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-18","publicationStatus":"PW","scienceBaseUri":"57aee525e4b0fc09faadbd3e","contributors":{"authors":[{"text":"Giuseppe, Formetta","contributorId":173665,"corporation":false,"usgs":false,"family":"Giuseppe","given":"Formetta","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":645393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simoni, Silvia","contributorId":173666,"corporation":false,"usgs":false,"family":"Simoni","given":"Silvia","email":"","affiliations":[{"id":27269,"text":"Mountain-eering Srl, Bolzano, Italy","active":true,"usgs":false}],"preferred":false,"id":645394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":645392,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lu, Ning","contributorId":191360,"corporation":false,"usgs":false,"family":"Lu","given":"Ning","email":"","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":645395,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rigon, Riccardo","contributorId":152464,"corporation":false,"usgs":false,"family":"Rigon","given":"Riccardo","email":"","affiliations":[{"id":18929,"text":"Unversita di Trento","active":true,"usgs":false}],"preferred":false,"id":645396,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70211940,"text":"70211940 - 2016 - Keeping things local: Subpopulation Nb and Ne in a stream network with partial barriers to fish migration","interactions":[],"lastModifiedDate":"2020-08-17T12:39:28.727677","indexId":"70211940","displayToPublicDate":"2016-08-12T13:01:44","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Keeping things local: Subpopulation Nb and Ne in a stream network with partial barriers to fish migration","title":"Keeping things local: Subpopulation Nb and Ne in a stream network with partial barriers to fish migration","docAbstract":"For organisms with overlapping generations that occur in metapopulations, uncertainty remains regarding the spatiotemporal scale of inference of estimates of the effective number of breeders (![\"urn:x-wiley:17524571:media:eva12454:eva12454-math-0001\"](\"https://onlinelibrary.wiley.com/cms/asset/f0c18c6b-1ba2-42bd-99b7-3cd79e649c2b/eva12454-math-0001.png\")
) and whether these estimates can be used to predict generational Ne. We conducted a series of tests of the spatiotemporal scale of inference of estimates of Nb in nine consecutive cohorts within a long‐term study of brook trout (Salvelinus fontinalis). We also tested a recently developed approach to estimate generational Ne from ![\"urn:x-wiley:17524571:media:eva12454:eva12454-math-0002\"](\"https://onlinelibrary.wiley.com/cms/asset/f082f208-7cc9-41d1-93f3-0b96eeba9915/eva12454-math-0002.png\")
and compared this to an alternative approach for estimating ![\"urn:x-wiley:17524571:media:eva12454:eva12454-math-0003\"](\"https://onlinelibrary.wiley.com/cms/asset/3c79185e-2dd4-484c-814f-2dffa7d9d5d9/eva12454-math-0003.png\")
that also accounts for age structure. Multiple lines of evidence were consistent with ![\"urn:x-wiley:17524571:media:eva12454:eva12454-math-0004\"](\"https://onlinelibrary.wiley.com/cms/asset/e05fad7a-6682-4312-b90b-be93cb994df8/eva12454-math-0004.png\")
corresponding to the local (subpopulation) spatial scale and the cohort‐specific temporal scale. We found that at least four consecutive cohort‐specific estimates of ![\"urn:x-wiley:17524571:media:eva12454:eva12454-math-0005\"](\"https://onlinelibrary.wiley.com/cms/asset/60f883bb-2b37-42d7-a355-0d4bca883911/eva12454-math-0005.png\")
were necessary to obtain reliable estimates of harmonic mean ![\"urn:x-wiley:17524571:media:eva12454:eva12454-math-0006\"](\"https://onlinelibrary.wiley.com/cms/asset/317b6dd2-8eea-489b-8861-a2a46960fe7f/eva12454-math-0006.png\")
for a subpopulation. Generational ![\"urn:x-wiley:17524571:media:eva12454:eva12454-math-0007\"](\"https://onlinelibrary.wiley.com/cms/asset/cea25c00-6fe7-43d6-a077-fdd6b26efc88/eva12454-math-0007.png\")
derived from cohort‐specific ![\"urn:x-wiley:17524571:media:eva12454:eva12454-math-0008\"](\"https://onlinelibrary.wiley.com/cms/asset/92d0e3d9-675e-436f-b90f-932d0ba4f29e/eva12454-math-0008.png\")
was within 7%–50% of an alternative approach to obtain ![\"urn:x-wiley:17524571:media:eva12454:eva12454-math-0009\"](\"https://onlinelibrary.wiley.com/cms/asset/cb5afcb9-c197-4eb4-9e45-2867ef4ea54a/eva12454-math-0009.png\")
, suggesting some population specificity for concordance between approaches. Our results regarding the spatiotemporal scale of inference for Nb should apply broadly to many taxa that exhibit overlapping generations and metapopulation structure and point to promising avenues for using cohort‐specific ![\"urn:x-wiley:17524571:media:eva12454:eva12454-math-0010\"](\"https://onlinelibrary.wiley.com/cms/asset/a875c5a8-c303-45de-8f47-84fde3eceabd/eva12454-math-0010.png\")
for local‐scale genetic monitoring.
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,{"id":70175456,"text":"70175456 - 2016 - Predation on Chinook Salmon parr by hatchery salmonids and Fallfish in the Salmon River, New York","interactions":[],"lastModifiedDate":"2016-08-12T12:01:03","indexId":"70175456","displayToPublicDate":"2016-08-12T13:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Predation on Chinook Salmon parr by hatchery salmonids and Fallfish in the Salmon River, New York","docAbstract":"Naturally reproduced Chinook Salmon Oncorhynchus tshawytscha contribute substantially to the fishery in Lake Ontario. The Salmon River, a Lake Ontario tributary in New York, produces the largest numbers of naturally spawned Chinook Salmon, with parr abundance in the river often exceeding 10 million. In the spring of each year, large numbers of hatchery salmonid yearlings—potential predators of Chinook Salmon parr—are released into the Salmon River by the New York State Department of Environmental Conservation. We sought to examine predation on Chinook Salmon parr in the Salmon River during May and June prior to out-migration. Over the 4 years examined (2009–2012), annual consumption of Chinook Salmon parr by hatchery-released yearling steelhead O. mykiss and Coho Salmon O. kisutch ranged from 1.5 to 3.3 million and from 0.4 to 2.1 million, respectively. In 2009, Fallfish Semotilus corporalis were estimated to consume 2.9 million Chinook Salmon parr. Predation was higher in May, when the average TL of Chinook Salmon parr was 44.5 mm, than in June. Fallfish were also important predators of naturally reproduced steelhead subyearlings, consuming an estimated 800,000 steelhead in 2009. Hatchery-released yearling salmonids consumed 13.8–15.3% of the Chinook Salmon parr that were estimated to be present in the Salmon River during 2010–2012. Earlier releases of hatchery salmonid yearlings could reduce the riverine consumption of Chinook Salmon parr by facilitating the out-migration of yearlings prior to Chinook Salmon emergence.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Lawrence, KS","doi":"10.1080/02755947.2015.1103821","usgsCitation":"Johnson, J.H., Nack, C.C., Chalupnicki, M., Abbett, R., and McKenna, J., 2016, Predation on Chinook Salmon parr by hatchery salmonids and Fallfish in the Salmon River, New York: North American Journal of Fisheries Management, v. 36, no. 1, p. 74-84, https://doi.org/10.1080/02755947.2015.1103821.","startPage":"74","endPage":"84","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069310","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":326456,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Salmon River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.55552673339844,\n 44.614667131008886\n ],\n [\n -73.55552673339844,\n 44.657175947461916\n ],\n [\n -73.43879699707031,\n 44.657175947461916\n ],\n [\n -73.43879699707031,\n 44.614667131008886\n ],\n [\n -73.55552673339844,\n 44.614667131008886\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-28","publicationStatus":"PW","scienceBaseUri":"57aee525e4b0fc09faadbd42","contributors":{"authors":[{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nack, Christopher C.","contributorId":66137,"corporation":false,"usgs":true,"family":"Nack","given":"Christopher","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":645316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chalupnicki, Marc 0000-0002-3792-9345 mchalupnicki@usgs.gov","orcid":"https://orcid.org/0000-0002-3792-9345","contributorId":173643,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","email":"mchalupnicki@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abbett, Ross 0000-0001-6276-5541 rabbett@usgs.gov","orcid":"https://orcid.org/0000-0001-6276-5541","contributorId":4359,"corporation":false,"usgs":true,"family":"Abbett","given":"Ross","email":"rabbett@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645318,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":627,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","suffix":"Jr.","email":"jemckenna@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":645319,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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