{"pageNumber":"1401","pageRowStart":"35000","pageSize":"25","recordCount":184733,"records":[{"id":70094151,"text":"sir20145028 - 2014 - Surface-water and karst groundwater interactions and streamflow-response simulations of the karst-influenced upper Lost River watershed, Orange County, Indiana","interactions":[],"lastModifiedDate":"2014-04-07T09:53:30","indexId":"sir20145028","displayToPublicDate":"2014-03-18T14:43:00","publicationYear":"2014","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":"2014-5028","title":"Surface-water and karst groundwater interactions and streamflow-response simulations of the karst-influenced upper Lost River watershed, Orange County, Indiana","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers (USACE) and the Indiana Office of Community and Rural Affairs (OCRA), conducted a study of the upper Lost River watershed in Orange County, Indiana, from 2012 to 2013. Streamflow and groundwater data were collected at 10 data-collection sites from at least October 2012 until April 2013, and a preliminary Water Availability Tool for Environmental Resources (WATER)-TOPMODEL based hydrologic model was created to increase understanding of the complex, karstic hydraulic and hydrologic system present in the upper Lost River watershed, Orange County, Ind. Statistical assessment of the optimized hydrologic-model results were promising and returned correlation coefficients for simulated and measured stream discharge of 0.58 and 0.60 and Nash-Sutcliffe efficiency values of 0.56 and 0.39 for USGS streamflow-gaging stations 03373530 (Lost River near Leipsic, Ind.), and 03373560 (Lost River near Prospect, Ind.), respectively. Additional information to refine drainage divides is needed before applying the model to the entire karst region of south-central Indiana. Surface-water and groundwater data were used to tentatively quantify the complex hydrologic processes taking place within the watershed and provide increased understanding for future modeling and management applications. The data indicate that during wet-weather periods and after certain intense storms, the hydraulic capacity of swallow holes and subsurface conduits is overwhelmed with excess water that flows onto the surface in dry-bed relic stream channels and karst paleovalleys. Analysis of discharge data collected at USGS streamflow-gaging station 03373550 (Orangeville Rise, at Orangeville, Ind.), and other ancillary data-collection sites in the watershed, indicate that a bounding condition is likely present, and drainage from the underlying karst conduit system is potentially limited to near 200 cubic feet per second. This information will direct future studies and assist managers in understanding when the subsurface conduits may become overwhelmed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145028","issn":"2328-0328","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers and the Indiana Office of Community and Rural Affairs (OCRA)","usgsCitation":"Bayless, E.R., Cinotto, P.J., Ulery, R.L., Taylor, C.J., McCombs, G.K., Kim, M.H., and Nelson, H.L., 2014, Surface-water and karst groundwater interactions and streamflow-response simulations of the karst-influenced upper Lost River watershed, Orange County, Indiana (Originally posted March 18, 2014; Revised April 7, 2014): U.S. Geological Survey Scientific Investigations Report 2014-5028, viii, 39 p., https://doi.org/10.3133/sir20145028.","productDescription":"viii, 39 p.","numberOfPages":"52","onlineOnly":"Y","ipdsId":"IP-040755","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":284186,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145028.jpg"},{"id":284185,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5028/pdf/sir2014-5028.pdf"},{"id":284184,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5028/"}],"scale":"100000","country":"United States","state":"Indiana","county":"Orange County","otherGeospatial":"Upper Lost River Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.66,38.416 ], [ -86.66,38.766 ], [ -86.166,38.766 ], [ -86.166,38.416 ], [ -86.66,38.416 ] ] ] } } ] }","edition":"Originally posted March 18, 2014; Revised April 7, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517065e4b05569d805a3d3","contributors":{"authors":[{"text":"Bayless, E. Randall 0000-0002-0357-3635","orcid":"https://orcid.org/0000-0002-0357-3635","contributorId":42586,"corporation":false,"usgs":true,"family":"Bayless","given":"E.","email":"","middleInitial":"Randall","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cinotto, Peter J. pcinotto@usgs.gov","contributorId":451,"corporation":false,"usgs":true,"family":"Cinotto","given":"Peter","email":"pcinotto@usgs.gov","middleInitial":"J.","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ulery, Randy L. rlulery@usgs.gov","contributorId":4679,"corporation":false,"usgs":true,"family":"Ulery","given":"Randy","email":"rlulery@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":490453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Charles J.","contributorId":93100,"corporation":false,"usgs":true,"family":"Taylor","given":"Charles","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":490456,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCombs, Gregory K. gmccombs@usgs.gov","contributorId":5429,"corporation":false,"usgs":true,"family":"McCombs","given":"Gregory","email":"gmccombs@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":490454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kim, Moon H. 0000-0002-4328-8409 mkim@usgs.gov","orcid":"https://orcid.org/0000-0002-4328-8409","contributorId":3211,"corporation":false,"usgs":true,"family":"Kim","given":"Moon","email":"mkim@usgs.gov","middleInitial":"H.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490451,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nelson, Hugh L. hlnelson@usgs.gov","contributorId":4158,"corporation":false,"usgs":true,"family":"Nelson","given":"Hugh","email":"hlnelson@usgs.gov","middleInitial":"L.","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490452,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70098419,"text":"70098419 - 2014 - How mangrove forests adjust to rising sea level","interactions":[],"lastModifiedDate":"2014-03-18T13:33:59","indexId":"70098419","displayToPublicDate":"2014-03-18T13:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"How mangrove forests adjust to rising sea level","docAbstract":"Mangroves are among the most well described and widely studied wetland communities in the world. The greatest threats to mangrove persistence are deforestation and other anthropogenic disturbances that can compromise habitat stability and resilience to sea-level rise. To persist, mangrove ecosystems must adjust to rising sea level by building vertically or become submerged. Mangroves may directly or indirectly influence soil accretion processes through the production and accumulation of organic matter, as well as the trapping and retention of mineral sediment. In this review, we provide a general overview of research on mangrove elevation dynamics, emphasizing the role of the vegetation in maintaining soil surface elevations (i.e. position of the soil surface in the vertical plane). We summarize the primary ways in which mangroves may influence sediment accretion and vertical land development, for example, through root contributions to soil volume and upward expansion of the soil surface. We also examine how hydrological, geomorphological and climatic processes may interact with plant processes to influence mangrove capacity to keep pace with rising sea level. We draw on a variety of studies to describe the important, and often under-appreciated, role that plants play in shaping the trajectory of an ecosystem undergoing change.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"New Phytologist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/nph.12605","usgsCitation":"Krauss, K.W., McKee, K.L., Lovelock, C.E., Cahoon, D.R., Saintilan, N., Reef, R., and Chen, L., 2014, How mangrove forests adjust to rising sea level: New Phytologist, v. 202, no. 1, p. 19-34, https://doi.org/10.1111/nph.12605.","productDescription":"16 p.","startPage":"19","endPage":"34","numberOfPages":"16","ipdsId":"IP-049944","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":284172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284147,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/nph.12605"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","volume":"202","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-11-19","publicationStatus":"PW","scienceBaseUri":"53cd60c5e4b0b290850fd239","contributors":{"authors":[{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":491702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKee, Karen L. 0000-0001-7042-670X","orcid":"https://orcid.org/0000-0001-7042-670X","contributorId":8927,"corporation":false,"usgs":true,"family":"McKee","given":"Karen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":491704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovelock, Catherine E.","contributorId":64787,"corporation":false,"usgs":true,"family":"Lovelock","given":"Catherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":491707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cahoon, Donald R. 0000-0002-2591-5667 dcahoon@usgs.gov","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":3791,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"dcahoon@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":491703,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saintilan, Neil","contributorId":31670,"corporation":false,"usgs":true,"family":"Saintilan","given":"Neil","email":"","affiliations":[],"preferred":false,"id":491705,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reef, Ruth","contributorId":44826,"corporation":false,"usgs":true,"family":"Reef","given":"Ruth","email":"","affiliations":[],"preferred":false,"id":491706,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chen, Luzhen","contributorId":71474,"corporation":false,"usgs":true,"family":"Chen","given":"Luzhen","affiliations":[],"preferred":false,"id":491708,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70098422,"text":"70098422 - 2014 - Does water chemistry affect the dietary uptake and toxicity of silver nanoparticles by the freshwater snail <i>Lymnaea stagnalis</i>?","interactions":[],"lastModifiedDate":"2018-09-04T16:34:57","indexId":"70098422","displayToPublicDate":"2014-03-18T13:18:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Does water chemistry affect the dietary uptake and toxicity of silver nanoparticles by the freshwater snail <i>Lymnaea stagnalis</i>?","docAbstract":"Silver nanoparticles (AgNPs) are widely used in many applications and likely released into the aquatic environment. There is increasing evidence that Ag is efficiently delivered to aquatic organisms from AgNPs after aqueous and dietary exposures. Accumulation of AgNPs through the diet can damage digestion and adversely affect growth. It is well recognized that aspects of water quality, such as hardness, affect the bioavailability and toxicity of waterborne Ag. However, the influence of water chemistry on the bioavailability and toxicity of dietborne AgNPs to aquatic invertebrates is largely unknown. Here we characterize for the first time the effects of water hardness and humic acids on the bioaccumulation and toxicity of AgNPs coated with polyvinyl pyrrolidone (PVP) to the freshwater snail <i>Lymnaea stagnalis</i> after dietary exposures. Our results indicate that bioaccumulation and toxicity of Ag from PVP-AgNPs ingested with food are not affected by water hardness and by humic acids, although both could affect interactions with the biological membrane and trigger nanoparticle transformations. Snails efficiently assimilated Ag from the PVP-AgNPs mixed with diatoms (Ag assimilation efficiencies ranged from 82 to 93%). Rate constants of Ag uptake from food were similar across the entire range of water hardness and humic acid concentrations. These results suggest that correcting regulations for water quality could be irrelevant and ineffective where dietary exposure is important.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Pollution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2014.02.010","usgsCitation":"Lopez-Serrano Oliver, A., Croteau, M., Stoiber, T., Tejamaya, M., Römer, I., Lead, J.R., and Luoma, S.N., 2014, Does water chemistry affect the dietary uptake and toxicity of silver nanoparticles by the freshwater snail <i>Lymnaea stagnalis</i>?: Environmental Pollution, v. 189, p. 87-91, https://doi.org/10.1016/j.envpol.2014.02.010.","productDescription":"5 p.","startPage":"87","endPage":"91","numberOfPages":"5","ipdsId":"IP-054217","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":284171,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284170,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envpol.2014.02.010"}],"volume":"189","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517034e4b05569d805a1cd","contributors":{"authors":[{"text":"Lopez-Serrano Oliver, Ana","contributorId":85083,"corporation":false,"usgs":true,"family":"Lopez-Serrano Oliver","given":"Ana","email":"","affiliations":[],"preferred":false,"id":491714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Croteau, Marie-Noële","contributorId":22863,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie-Noële","affiliations":[],"preferred":false,"id":491712,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoiber, Tasha L.","contributorId":91402,"corporation":false,"usgs":false,"family":"Stoiber","given":"Tasha L.","affiliations":[],"preferred":false,"id":491715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tejamaya, Mila","contributorId":93375,"corporation":false,"usgs":false,"family":"Tejamaya","given":"Mila","email":"","affiliations":[],"preferred":false,"id":491716,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Römer, Isabella","contributorId":17133,"corporation":false,"usgs":true,"family":"Römer","given":"Isabella","affiliations":[],"preferred":false,"id":491711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lead, Jamie R.","contributorId":41331,"corporation":false,"usgs":false,"family":"Lead","given":"Jamie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":491713,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":491710,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70095456,"text":"fs20143019 - 2014 - Future scenarios of impacts to ecosystem services on California rangelands","interactions":[],"lastModifiedDate":"2014-03-18T11:36:12","indexId":"fs20143019","displayToPublicDate":"2014-03-18T11:29:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3019","title":"Future scenarios of impacts to ecosystem services on California rangelands","docAbstract":"The 18 million acres of rangelands in the Central Valley of California provide multiple benefits or “ecosystem services” to people—including wildlife habitat, water supply, open space, recreation, and cultural resources. Most of this land is privately owned and managed for livestock production. These rangelands are vulnerable to land-use conversion and climate change. To help resource managers assess the impacts of land-use change and climate change, U.S. Geological Survey scientists and their cooperators developed scenarios to quantify and map changes to three main rangeland ecosystem services—wildlife habitat, water supply, and carbon sequestration. Project results will help prioritize strategies to conserve these rangelands and the ecosystem services that they provide.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143019","issn":"2327-6932","usgsCitation":"Byrd, K., Alvarez, P., Flint, L., and Flint, A., 2014, Future scenarios of impacts to ecosystem services on California rangelands: U.S. Geological Survey Fact Sheet 2014-3019, 2 p., https://doi.org/10.3133/fs20143019.","productDescription":"2 p.","numberOfPages":"2","ipdsId":"IP-053645","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":284160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143019.jpg"},{"id":284159,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3019/pdf/fs2014-3019.pdf"},{"id":284158,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3019/"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.42,34.96 ], [ -123.42,41.06 ], [ -116.61,41.06 ], [ -116.61,34.96 ], [ -123.42,34.96 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5a63e4b0b290850f9516","contributors":{"authors":[{"text":"Byrd, Kristin","contributorId":82053,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","affiliations":[],"preferred":false,"id":491207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alvarez, Pelayo","contributorId":89438,"corporation":false,"usgs":true,"family":"Alvarez","given":"Pelayo","affiliations":[],"preferred":false,"id":491208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Lorraine 0000-0002-7868-441X","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":97753,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","affiliations":[],"preferred":false,"id":491209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flint, Alan","contributorId":58503,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"","affiliations":[],"preferred":false,"id":491206,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70093992,"text":"sim3290 - 2014 - Vegetation types in coastal Louisiana in 2013","interactions":[],"lastModifiedDate":"2014-03-18T08:45:51","indexId":"sim3290","displayToPublicDate":"2014-03-18T08:14:37","publicationYear":"2014","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":"3290","title":"Vegetation types in coastal Louisiana in 2013","docAbstract":"During the summer of 2013, the U.S. Geological Survey, Louisiana State University, University of Louisiana at Lafayette, and the Louisiana Department of Wildlife and Fisheries Coastal and Nongame Resources Division jointly completed an aerial survey to collect data on 2013 vegetation types in coastal Louisiana. Plant species were listed and their abundance classified. On the basis of species composition and abundance, each marsh sampling station was assigned a marsh type: fresh, intermediate, brackish, or saline (saltwater) marsh. The current map presents the data collected in this effort.","language":"English","publisher":"U.S. Geologcal Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3290","usgsCitation":"Sasser, C.E., Visser, J.M., Mouton, E., Linscombe, J., and Hartley, S.B., 2014, Vegetation types in coastal Louisiana in 2013: U.S. Geological Survey Scientific Investigations Map 3290, 1 map: 35.31 x 27.18 inches, https://doi.org/10.3133/sim3290.","productDescription":"1 map: 35.31 x 27.18 inches","onlineOnly":"Y","ipdsId":"IP-054756","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":284119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3290.jpg"},{"id":284118,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3290/pdf/sim3290.pdf"},{"id":284111,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3290/"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0434,28.9254 ], [ -94.0434,30.422 ], [ -88.8162,30.422 ], [ -88.8162,28.9254 ], [ -94.0434,28.9254 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7b05e4b0b2908510dddc","contributors":{"authors":[{"text":"Sasser, Charles E.","contributorId":86858,"corporation":false,"usgs":true,"family":"Sasser","given":"Charles","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":490419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Visser, Jenneke M.","contributorId":90397,"corporation":false,"usgs":true,"family":"Visser","given":"Jenneke","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":490420,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mouton, Edmond","contributorId":46634,"corporation":false,"usgs":true,"family":"Mouton","given":"Edmond","email":"","affiliations":[],"preferred":false,"id":490418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Linscombe, Jeb","contributorId":17704,"corporation":false,"usgs":true,"family":"Linscombe","given":"Jeb","email":"","affiliations":[],"preferred":false,"id":490416,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hartley, Steve B. 0000-0003-1380-2769","orcid":"https://orcid.org/0000-0003-1380-2769","contributorId":18065,"corporation":false,"usgs":true,"family":"Hartley","given":"Steve","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":490417,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70098176,"text":"70098176 - 2014 - Ocean-atmosphere forcing of centennial hydroclimatic variability in the Pacific Northwest","interactions":[],"lastModifiedDate":"2014-05-02T17:03:59","indexId":"70098176","displayToPublicDate":"2014-03-17T15:52:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Ocean-atmosphere forcing of centennial hydroclimatic variability in the Pacific Northwest","docAbstract":"Reconstructing centennial timescale hydroclimate variability during the late Holocene is critically important for understanding large-scale patterns of drought and their relationship with climate dynamics. We present sediment oxygen isotope records spanning the last two millennia from 10 lakes, as well as climate model simulations, indicating that the Little Ice Age was dry relative to the Medieval Climate Anomaly in much of the Pacific Northwest of North America. This pattern is consistent with observed associations between the El Niño Southern Oscillation (ENSO), the Northern Annular Mode and drought as well as with proxy-based reconstructions of Pacific ocean-atmosphere variations over the past 1000 years. The large amplitude of centennial variability indicated by the lake data suggests that regional hydroclimate is characterized by longer-term shifts in ENSO-like dynamics, and that an improved understanding of the centennial timescale relationship between external forcing and drought conditions is necessary for projecting future hydroclimatic conditions in western North America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2014GL059499","usgsCitation":"Steinman, B.A., Abbott, M.B., Mann, M.E., Ortiz, J., Feng, S., Pompeani, D.P., Stansell, N.D., Anderson, L., Finney, B., and Bird, B., 2014, Ocean-atmosphere forcing of centennial hydroclimatic variability in the Pacific Northwest: Geophysical Research Letters, v. 41, no. 7, p. 2553-2560, https://doi.org/10.1002/2014GL059499.","productDescription":"8 p.","startPage":"2553","endPage":"2560","numberOfPages":"8","ipdsId":"IP-051490","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":473103,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014gl059499","text":"Publisher Index Page"},{"id":284102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284098,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2014GL059499"}],"country":"Canada;United States","otherGeospatial":"Pacific Northwest","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -140.89,29.99 ], [ -140.89,64.96 ], [ -89.82,64.96 ], [ -89.82,29.99 ], [ -140.89,29.99 ] ] ] } } ] }","volume":"41","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-04-14","publicationStatus":"PW","scienceBaseUri":"53517059e4b05569d805a354","contributors":{"authors":[{"text":"Steinman, Byron A.","contributorId":87064,"corporation":false,"usgs":true,"family":"Steinman","given":"Byron","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":491663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abbott, Mark B.","contributorId":97733,"corporation":false,"usgs":true,"family":"Abbott","given":"Mark","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":491665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mann, Michael E.","contributorId":71876,"corporation":false,"usgs":true,"family":"Mann","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":491662,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ortiz, Joseph D.","contributorId":103175,"corporation":false,"usgs":true,"family":"Ortiz","given":"Joseph D.","affiliations":[],"preferred":false,"id":491667,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Feng, Song","contributorId":101978,"corporation":false,"usgs":true,"family":"Feng","given":"Song","email":"","affiliations":[],"preferred":false,"id":491666,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pompeani, David P.","contributorId":42130,"corporation":false,"usgs":true,"family":"Pompeani","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":491661,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stansell, Nathan D.","contributorId":11936,"corporation":false,"usgs":true,"family":"Stansell","given":"Nathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":491659,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Anderson, Lesleigh 0000-0002-5264-089X land@usgs.gov","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":436,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","email":"land@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":491658,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Finney, Bruce P.","contributorId":88074,"corporation":false,"usgs":true,"family":"Finney","given":"Bruce P.","affiliations":[],"preferred":false,"id":491664,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bird, Broxton W.","contributorId":26219,"corporation":false,"usgs":true,"family":"Bird","given":"Broxton W.","affiliations":[],"preferred":false,"id":491660,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70098133,"text":"70098133 - 2014 - Accounting for unsearched areas in estimating wind turbine-caused fatality","interactions":[],"lastModifiedDate":"2014-03-18T08:18:39","indexId":"70098133","displayToPublicDate":"2014-03-17T15:49:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for unsearched areas in estimating wind turbine-caused fatality","docAbstract":"With wind energy production expanding rapidly, concerns about turbine-induced bird and bat fatality have grown and the demand for accurate estimation of fatality is increasing. Estimation typically involves counting carcasses observed below turbines and adjusting counts by estimated detection probabilities. Three primary sources of imperfect detection are 1) carcasses fall into unsearched areas, 2) carcasses are removed or destroyed before sampling, and 3) carcasses present in the searched area are missed by observers. Search plots large enough to comprise 100% of turbine-induced fatality are expensive to search and may nonetheless contain areas unsearchable because of dangerous terrain or impenetrable brush. We evaluated models relating carcass density to distance from the turbine to estimate the proportion of carcasses expected to fall in searched areas and evaluated the statistical cost of restricting searches to areas near turbines where carcass density is highest and search conditions optimal. We compared 5 estimators differing in assumptions about the relationship of carcass density to distance from the turbine. We tested them on 6 different carcass dispersion scenarios at each of 3 sites under 2 different search regimes. We found that even simple distance-based carcass-density models were more effective at reducing bias than was a 5-fold expansion of the search area. Estimators incorporating fitted rather than assumed models were least biased, even under restricted searches. Accurate estimates of fatality at wind-power facilities will allow critical comparisons of rates among turbines, sites, and regions and contribute to our understanding of the potential environmental impact of this technology.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.663","usgsCitation":"Huso, M., and Dalthorp, D., 2014, Accounting for unsearched areas in estimating wind turbine-caused fatality: Journal of Wildlife Management, v. 78, no. 2, p. 347-358, https://doi.org/10.1002/jwmg.663.","productDescription":"12 p.","startPage":"347","endPage":"358","numberOfPages":"12","ipdsId":"IP-051624","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":284104,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284083,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.663"}],"volume":"78","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-02-18","publicationStatus":"PW","scienceBaseUri":"53516f28e4b05569d805a01e","contributors":{"authors":[{"text":"Huso, Manuela M.P.","contributorId":80566,"corporation":false,"usgs":true,"family":"Huso","given":"Manuela M.P.","affiliations":[],"preferred":false,"id":491566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalthorp, Dan","contributorId":51197,"corporation":false,"usgs":true,"family":"Dalthorp","given":"Dan","email":"","affiliations":[],"preferred":false,"id":491565,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70098134,"text":"70098134 - 2014 - Assessment of bird response to the Migratory Bird Habitat Initiative using weather-surveillance radar","interactions":[],"lastModifiedDate":"2014-03-17T15:46:19","indexId":"70098134","displayToPublicDate":"2014-03-17T15:41:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of bird response to the Migratory Bird Habitat Initiative using weather-surveillance radar","docAbstract":"In response to the Deepwater Horizon oil spill in spring 2010, the Natural Resources Conservation Service implemented the Migratory Bird Habitat Initiative (MBHI) to provide temporary wetland habitat for migrating and wintering waterfowl, shorebirds, and other birds along the northern Gulf of Mexico via managed flooding of agricultural lands. We used weather-surveillance radar to conduct broad regional assessments of bird response to MBHI activities within the Mississippi Alluvial Valley and the West Gulf Coastal Plain. Across both regions, birds responded positively to MBHI management by exhibiting greater relative bird densities within sites relative to pre-management conditions in prior years and relative to surrounding non-flooded agricultural lands. Bird density at MBHI sites was generally greatest during winter for both regions. Unusually high flooding in the years prior to implementation of the MBHI confounded detection of overall changes in remotely sensed soil wetness across sites. The magnitude of bird response at MBHI sites compared to prior years and to non-flooded agricultural lands was generally related to the surrounding landscape context: proximity to areas of high bird density, amount of forested wetlands, emergent marsh, non-flooded agriculture, or permanent open water. However, these relationships varied in strength and direction between regions and seasons, a finding which we attribute to differences in seasonal bird composition and broad regional differences in landscape configuration and composition. We detected greater increases in relative bird use at sites in closer proximity to areas of high bird density during winter in both regions. Additionally, bird density was greater during winter at sites with more emergent marsh in the surrounding landscape. Thus, bird use of managed wetlands could be maximized by enrolling lands located near areas of known bird concentration and within a mosaic of existing wetlands. Weather-radar observations provide strong evidence that MBHI sites located inland from coastal wetlands impacted by the oil spill provided wetland habitat used by a variety of birds.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Southeastern Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.013.0112","usgsCitation":"Sieges, M.L., Smolinsky, J., Baldwin, M., Barrow, W., Randall, L.A., and Buler, J., 2014, Assessment of bird response to the Migratory Bird Habitat Initiative using weather-surveillance radar: Southeastern Naturalist, v. 13, no. 1, p. G36-G65, https://doi.org/10.1656/058.013.0112.","productDescription":"30 p.","startPage":"G36","endPage":"G65","numberOfPages":"30","ipdsId":"IP-049169","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":284101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284097,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1656/058.013.0112"}],"country":"United States","otherGeospatial":"Gulf Of Mexico;Mississippi Alluvial Valley;West Gulf Coastal Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.32,28.42 ], [ -96.32,36.51 ], [ -88.39,36.51 ], [ -88.39,28.42 ], [ -96.32,28.42 ] ] ] } } ] }","volume":"13","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517025e4b05569d805a163","contributors":{"authors":[{"text":"Sieges, Mason L.","contributorId":75441,"corporation":false,"usgs":true,"family":"Sieges","given":"Mason","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":491571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smolinsky, Jaclyn A.","contributorId":9175,"corporation":false,"usgs":true,"family":"Smolinsky","given":"Jaclyn A.","affiliations":[],"preferred":false,"id":491570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldwin, Michael J. 0000-0003-1939-5439 baldwinm@usgs.gov","orcid":"https://orcid.org/0000-0003-1939-5439","contributorId":3294,"corporation":false,"usgs":true,"family":"Baldwin","given":"Michael J.","email":"baldwinm@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":491569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barrow, Wylie C. 0000-0003-4671-2823 barroww@usgs.gov","orcid":"https://orcid.org/0000-0003-4671-2823","contributorId":1988,"corporation":false,"usgs":true,"family":"Barrow","given":"Wylie C.","email":"barroww@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":491567,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Randall, Lori A. 0000-0003-0100-994X randalll@usgs.gov","orcid":"https://orcid.org/0000-0003-0100-994X","contributorId":2678,"corporation":false,"usgs":true,"family":"Randall","given":"Lori","email":"randalll@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":491568,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buler, Jeffrey J.","contributorId":78431,"corporation":false,"usgs":true,"family":"Buler","given":"Jeffrey J.","affiliations":[],"preferred":false,"id":491572,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70098136,"text":"70098136 - 2014 - Herbivores and nutrients control grassland plant diversity via light limitation","interactions":[],"lastModifiedDate":"2018-09-14T16:09:14","indexId":"70098136","displayToPublicDate":"2014-03-17T15:27:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Herbivores and nutrients control grassland plant diversity via light limitation","docAbstract":"Human alterations to nutrient cycles and herbivore communities are affecting global biodiversity dramatically. Ecological theory predicts these changes should be strongly counteractive: nutrient addition drives plant species loss through intensified competition for light, whereas herbivores prevent competitive exclusion by increasing ground-level light, particularly in productive systems. Here we use experimental data spanning a globally relevant range of conditions to test the hypothesis that herbaceous plant species losses caused by eutrophication may be offset by increased light availability due to herbivory. This experiment, replicated in 40 grasslands on 6 continents, demonstrates that nutrients and herbivores can serve as counteracting forces to control local plant diversity through light limitation, independent of site productivity, soil nitrogen, herbivore type and climate. Nutrient addition consistently reduced local diversity through light limitation, and herbivory rescued diversity at sites where it alleviated light limitation. Thus, species loss from anthropogenic eutrophication can be ameliorated in grasslands where herbivory increases ground-level light.","language":"English","publisher":"Macmillan Journals Ltd.","doi":"10.1038/nature13144","usgsCitation":"Borer, E.T., Seabloom, E.W., Gruner, D., Harpole, W., Hillebrand, H., Lind, E.M., Alder, P.B., Alberti, J., Anderson, T., Bakker, J.D., Biederman, L., Blumenthal, D., Brown, C.S., Brudvig, L.A., Buckley, Y.M., Cadotte, M., Chu, C., Cleland, E., Crawley, M.J., Daleo, P., Damschen, E.I., Davies, K.F., DeCrappeo, N.M., Du, G., Firn, J., Hautier, Y., Heckman, R.W., Hector, A., HilleRisLambers, J., Iribarne, O., Klein, J.A., Knops, J.M., La Pierre, K.J., Leakey, A.D., Li, W., MacDougall, A.S., McCulley, R.L., Melbourne, B.A., Mitchell, C., Moore, J.L., Mortensen, B., O’Halloran, L.R., Orrock, J., Pascual, J., Prober, S.M., Pyke, D.A., Risch, A., Schuetz, M., Smith, M., Stevens, C.J., Sullivan, L.L., Williams, R.J., Wragg, P.D., Wright, J.P., and Yang, L.H., 2014, Herbivores and nutrients control grassland plant diversity via light limitation: Nature, v. 508, p. 517-520, https://doi.org/10.1038/nature13144.","productDescription":"4 p.","startPage":"517","endPage":"520","numberOfPages":"4","ipdsId":"IP-051743","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":473104,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://ir.lzu.edu.cn/handle/262010/115444","text":"External Repository"},{"id":284084,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/nature13144"},{"id":284096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","volume":"508","noUsgsAuthors":false,"publicationDate":"2014-03-09","publicationStatus":"PW","scienceBaseUri":"53517046e4b05569d805a24d","contributors":{"authors":[{"text":"Borer, Elizabeth T.","contributorId":45049,"corporation":false,"usgs":false,"family":"Borer","given":"Elizabeth","email":"","middleInitial":"T.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":491592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seabloom, Eric W.","contributorId":60762,"corporation":false,"usgs":false,"family":"Seabloom","given":"Eric","email":"","middleInitial":"W.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":491599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gruner, Daniel S.","contributorId":80561,"corporation":false,"usgs":true,"family":"Gruner","given":"Daniel S.","affiliations":[],"preferred":false,"id":491606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harpole, W. 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J.","contributorId":89658,"corporation":false,"usgs":true,"family":"Stevens","given":"Carly","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":491616,"contributorType":{"id":1,"text":"Authors"},"rank":50},{"text":"Sullivan, Lauren L.","contributorId":84892,"corporation":false,"usgs":true,"family":"Sullivan","given":"Lauren","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":491610,"contributorType":{"id":1,"text":"Authors"},"rank":51},{"text":"Williams, Ryan J.","contributorId":11937,"corporation":false,"usgs":false,"family":"Williams","given":"Ryan","email":"","middleInitial":"J.","affiliations":[{"id":12468,"text":"Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IA","active":true,"usgs":false}],"preferred":false,"id":491576,"contributorType":{"id":1,"text":"Authors"},"rank":52},{"text":"Wragg, Peter D.","contributorId":24082,"corporation":false,"usgs":true,"family":"Wragg","given":"Peter","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":491583,"contributorType":{"id":1,"text":"Authors"},"rank":53},{"text":"Wright, Justin P.","contributorId":98455,"corporation":false,"usgs":true,"family":"Wright","given":"Justin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":491622,"contributorType":{"id":1,"text":"Authors"},"rank":54},{"text":"Yang, Louie H.","contributorId":59172,"corporation":false,"usgs":true,"family":"Yang","given":"Louie","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":491598,"contributorType":{"id":1,"text":"Authors"},"rank":55}]}}
,{"id":70098139,"text":"70098139 - 2014 - Modeling marbled murrelet (Brachyramphus marmoratus) habitat using LiDAR-derived canopy data","interactions":[],"lastModifiedDate":"2021-04-22T19:41:45.20453","indexId":"70098139","displayToPublicDate":"2014-03-17T15:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Modeling marbled murrelet (<i>Brachyramphus marmoratus</i>) habitat using LiDAR-derived canopy data","title":"Modeling marbled murrelet (Brachyramphus marmoratus) habitat using LiDAR-derived canopy data","docAbstract":"LiDAR (Light Detection And Ranging) is an emerging remote-sensing tool that can provide fine-scale data describing vertical complexity of vegetation relevant to species that are responsive to forest structure. We used LiDAR data to estimate occupancy probability for the federally threatened marbled murrelet (<i>Brachyramphus marmoratus</i>) in the Oregon Coast Range of the United States. Our goal was to address the need identified in the Recovery Plan for a more accurate estimate of the availability of nesting habitat by developing occupancy maps based on refined measures of nest-strand structure. We used murrelet occupancy data collected by the Bureau of Land Management Coos Bay District, and canopy metrics calculated from discrete return airborne LiDAR data, to fit a logistic regression model predicting the probability of occupancy. Our final model for stand-level occupancy included distance to coast, and 5 LiDAR-derived variables describing canopy structure. With an area under the curve value (AUC) of 0.74, this model had acceptable discrimination and fair agreement (Cohen's κ = 0.24), especially considering that all sites in our sample were regarded by managers as potential habitat. The LiDAR model provided better discrimination between occupied and unoccupied sites than did a model using variables derived from Gradient Nearest Neighbor maps that were previously reported as important predictors of murrelet occupancy (AUC = 0.64, κ = 0.12). We also evaluated LiDAR metrics at 11 known murrelet nest sites. Two LiDAR-derived variables accurately discriminated nest sites from random sites (average AUC = 0.91). LiDAR provided a means of quantifying 3-dimensional canopy structure with variables that are ecologically relevant to murrelet nesting habitat, and have not been as accurately quantified by other mensuration methods.","language":"English","publisher":"Wildlife Society","doi":"10.1002/wsb.407","usgsCitation":"Hagar, J.C., Eskelson, B., Haggerty, P., Nelson, S.K., and Vesely, D.G., 2014, Modeling marbled murrelet (Brachyramphus marmoratus) habitat using LiDAR-derived canopy data: Wildlife Society Bulletin, v. 38, no. 2, p. 237-249, https://doi.org/10.1002/wsb.407.","productDescription":"13 p.","startPage":"237","endPage":"249","numberOfPages":"13","ipdsId":"IP-050749","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":499898,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/fa328953e7c44ef8b47dae994fe72d41","text":"External Repository"},{"id":438769,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ONYT0B","text":"USGS data release","linkHelpText":"Forest stands and LiDAR derived model estimates of marbled murrelet (Brachyramphus marmoratus) occupancy in the Coos Bay BLM District, Southwestern Oregon"},{"id":438768,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9472SZW","text":"USGS data release","linkHelpText":"Estimated Probabilities from Lidar Models for Marbled Murrelet (Brachyramphus marmoratus) Occupancy in Forest Vegetation Stands in the Siuslaw National Forest, Oregon"},{"id":284094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Oregon Coast Range","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125.2222,41.7795 ], [ -125.2222,44.0718 ], [ -123.0908,44.0718 ], [ -123.0908,41.7795 ], [ -125.2222,41.7795 ] ] ] } } ] }","volume":"38","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-02-12","publicationStatus":"PW","scienceBaseUri":"53517055e4b05569d805a333","contributors":{"authors":[{"text":"Hagar, Joan C. 0000-0002-3044-6607 joan_hagar@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-6607","contributorId":57034,"corporation":false,"usgs":true,"family":"Hagar","given":"Joan","email":"joan_hagar@usgs.gov","middleInitial":"C.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":false,"id":491631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eskelson, Bianca","contributorId":7556,"corporation":false,"usgs":true,"family":"Eskelson","given":"Bianca","email":"","affiliations":[],"preferred":false,"id":491628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haggerty, Patricia K.","contributorId":50815,"corporation":false,"usgs":true,"family":"Haggerty","given":"Patricia K.","affiliations":[],"preferred":false,"id":491630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, S. Kim","contributorId":86680,"corporation":false,"usgs":false,"family":"Nelson","given":"S.","email":"","middleInitial":"Kim","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":491632,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vesely, David G.","contributorId":41328,"corporation":false,"usgs":true,"family":"Vesely","given":"David","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":491629,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70055555,"text":"tm4A9 - 2014 - HydroClimATe: hydrologic and climatic analysis toolkit","interactions":[],"lastModifiedDate":"2018-04-02T15:21:11","indexId":"tm4A9","displayToPublicDate":"2014-03-17T14:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"4-A9","title":"HydroClimATe: hydrologic and climatic analysis toolkit","docAbstract":"The potential consequences of climate variability and climate change have been identified as major issues for the sustainability and availability of the worldwide water resources. Unlike global climate change, climate variability represents deviations from the long-term state of the climate over periods of a few years to several decades. Currently, rich hydrologic time-series data are available, but the combination of data preparation and statistical methods developed by the U.S. Geological Survey as part of the Groundwater Resources Program is relatively unavailable to hydrologists and engineers who could benefit from estimates of climate variability and its effects on periodic recharge and water-resource availability. This report documents HydroClimATe, a computer program for assessing the relations between variable climatic and hydrologic time-series data. HydroClimATe was developed for a Windows operating system. The software includes statistical tools for (1) time-series preprocessing, (2) spectral analysis, (3) spatial and temporal analysis, (4) correlation analysis, and (5) projections. The time-series preprocessing tools include spline fitting, standardization using a normal or gamma distribution, and transformation by a cumulative departure. The spectral analysis tools include discrete Fourier transform, maximum entropy method, and singular spectrum analysis. The spatial and temporal analysis tool is empirical orthogonal function analysis. The correlation analysis tools are linear regression and lag correlation. The projection tools include autoregressive time-series modeling and generation of many realizations. These tools are demonstrated in four examples that use stream-flow discharge data, groundwater-level records, gridded time series of precipitation data, and the Multivariate ENSO Index.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Statistical analysis in Book 4 <i>Hydrologic Analysis and Interpretation</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm4A9","collaboration":"Groundwater Resources Program. This report is Chapter 9 of Section A: Statistical analysis in Book 4 <i>Hydrologic Analysis and Interpretation</i>.","usgsCitation":"Dickinson, J.E., Hanson, R.T., and Predmore, S.K., 2014, HydroClimATe: hydrologic and climatic analysis toolkit: U.S. Geological Survey Techniques and Methods 4-A9, x, 48 p., https://doi.org/10.3133/tm4A9.","productDescription":"x, 48 p.","numberOfPages":"62","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-035956","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":284093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm4A9.jpg"},{"id":284091,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm4a9/"},{"id":284092,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/tm4a9/pdf/tm4-a9.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd60efe4b0b290850fd3b7","contributors":{"authors":[{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Predmore, Steven K. spredmor@usgs.gov","contributorId":1512,"corporation":false,"usgs":true,"family":"Predmore","given":"Steven","email":"spredmor@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":486144,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70074261,"text":"sir20145018 - 2014 - Assessment of sediments in the riverine impoundments of national wildlife refuges in the Souris River Basin, North Dakota","interactions":[],"lastModifiedDate":"2014-03-17T13:19:28","indexId":"sir20145018","displayToPublicDate":"2014-03-17T13:12:00","publicationYear":"2014","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":"2014-5018","title":"Assessment of sediments in the riverine impoundments of national wildlife refuges in the Souris River Basin, North Dakota","docAbstract":"Accelerated sedimentation of reservoirs and riverine impoundments is a major concern throughout the United States. Sediments not only fill impoundments and reduce their effective life span, but they can reduce water quality by increasing turbidity and introducing harmful chemical constituents such as heavy metals, toxic elements, and nutrients. U.S. Fish and Wildlife Service national wildlife refuges in the north-central part of the United States have documented high amounts of sediment accretion in some wetlands that could negatively affect important aquatic habitats for migratory birds and other wetland-dependent wildlife. Therefore, information pertaining to sediment accumulation in refuge impoundments potentially is important to guide conservation planning, including future management actions of individual impoundments. Lands comprising Des Lacs, Upper Souris, and J. Clark Salyer National Wildlife Refuges, collectively known as the Souris River Basin refuges, encompass reaches of the Des Lacs and Souris Rivers of northwestern North Dakota. The riverine impoundments of the Souris River Basin refuges are vulnerable to sedimentation because of the construction of in-stream dams that interrupt and slow river flows and because of post-European settlement land-use changes that have increased the potential for soil erosion and transport to rivers. Information regarding sediments does not exist for these refuges, and U.S. Fish and Wildlife Service personnel have expressed interest in assessing refuge impoundments to support refuge management decisions.\n\nSediment cores and surface sediment samples were collected from impoundments within Des Lacs, Upper Souris, and J. Clark Salyer National Wildlife Refuges during 2004–05. Cores were used to estimate sediment accretion rates using radioisotope (cesium-137 [<sup>137</sup>Cs], lead-210 [<sup>210</sup>Pb]) dating techniques. Sediment cores and surface samples were analyzed for a suite of elements and agrichemicals, respectively. Examination of core characteristics along the depth profile suggests that there has been regular sediment mixing and removal, as well as non-uniform sediment deposition with time. Estimated mean accretion rates based on the three methods of determination (two time markers for <sup>137</sup>Cs, <sup>210</sup>Pb) ranged from 0.22–0.35 centimeters per year, and approximately 70 percent of cores had less <sup>137</sup>Cs than expected. Concentrations of sediment-associated elements generally were within reported reference ranges, and all agrichemicals analyzed were below detection limits. Results suggest that there does not appear to be widespread sediment accumulation in impoundments of the Souris River Basin refuges. In addition, there were no identifiable patterns among sedimentation rates from the upstream (Des Lacs, Upper Souris) to the downstream (J. Clark Salyer) refuges. There were, however, apparent upstream to downstream patterns of increased concentrations of some elements (for example, aluminum, boron, and vanadium) that may warrant further exploration. Future related monitoring and research efforts should focus on areas with high potential for sediment accumulation, such as upstream areas adjacent to dams, to identify potential sediment problems before they become too severe. Further, assessments of suspended sediments transported in the Des Lacs and Souris Rivers would augment interpretation of sedimentation data by identifying potential sediment sources and areas with the greatest potential for accumulation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145018","issn":"2328-0328","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Tangen, B., Laubhan, M.K., and Gleason, R.A., 2014, Assessment of sediments in the riverine impoundments of national wildlife refuges in the Souris River Basin, North Dakota: U.S. Geological Survey Scientific Investigations Report 2014-5018, Report: vi, 37 p.; Appendixes: 1-2, https://doi.org/10.3133/sir20145018.","productDescription":"Report: vi, 37 p.; Appendixes: 1-2","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-046370","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":284075,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145018.jpg"},{"id":284071,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5018/"},{"id":284073,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5018/downloads/Appendix1_2JAN2014.xlsx"},{"id":284072,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5018/pdf/sir2014-5018.pdf"},{"id":284074,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5018/downloads/Appendix2_2JAN2014.xlsx"}],"scale":"5000000","country":"United States","state":"North Dakota","otherGeospatial":"Souris River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -102.25,48.0 ], [ -102.25,49.0 ], [ -100.5,49.0 ], [ -100.5,48.0 ], [ -102.25,48.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4e3de4b0b290850f1faf","contributors":{"authors":[{"text":"Tangen, Brian A.","contributorId":78419,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian A.","affiliations":[],"preferred":false,"id":489443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laubhan, Murray K.","contributorId":100324,"corporation":false,"usgs":true,"family":"Laubhan","given":"Murray","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":489444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gleason, Robert A. 0000-0001-5308-8657 rgleason@usgs.gov","orcid":"https://orcid.org/0000-0001-5308-8657","contributorId":2402,"corporation":false,"usgs":true,"family":"Gleason","given":"Robert","email":"rgleason@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":489442,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70094503,"text":"pp1776E - 2014 - Geochronology of plutonic rocks and their tectonic terranes in Glacier Bay National Park and Preserve, southeast Alaska","interactions":[{"subject":{"id":70094503,"text":"pp1776E - 2014 - Geochronology of plutonic rocks and their tectonic terranes in Glacier Bay National Park and Preserve, southeast Alaska","indexId":"pp1776E","publicationYear":"2014","noYear":false,"chapter":"E","title":"Geochronology of plutonic rocks and their tectonic terranes in Glacier Bay National Park and Preserve, southeast Alaska"},"predicate":"IS_PART_OF","object":{"id":98607,"text":"pp1776 - 2010 - Studies by the U.S. Geological Survey in Alaska, 2008-2009","indexId":"pp1776","publicationYear":"2010","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, 2008-2009"},"id":1}],"isPartOf":{"id":98607,"text":"pp1776 - 2010 - Studies by the U.S. Geological Survey in Alaska, 2008-2009","indexId":"pp1776","publicationYear":"2010","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, 2008-2009"},"lastModifiedDate":"2022-12-09T23:51:12.887805","indexId":"pp1776E","displayToPublicDate":"2014-03-17T13:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1776","chapter":"E","title":"Geochronology of plutonic rocks and their tectonic terranes in Glacier Bay National Park and Preserve, southeast Alaska","docAbstract":"<p>We have identified six major belts and two nonbelt occurrences of plutonic rocks in Glacier Bay National Park and Preserve and characterized them on the basis of geologic mapping, igneous petrology, geochemistry, and isotopic dating. The six plutonic belts and two other occurrences are, from oldest to youngest: (1) Jurassic (201.6–145.5 Ma) diorite and gabbro of the Lituya belt; (2) Late Jurassic (161.0–145.5 Ma) leucotonalite in Johns Hopkins Inlet; (3) Early Cretaceous (145.5–99.6 Ma) granodiorite and tonalite of the Muir-Chichagof belt; (4) Paleocene tonalite in Johns Hopkins Inlet (65.5–55.8 Ma); (5) Eocene granodiorite of the Sanak-Baranof belt; (6) Eocene and Oligocene (55.8–23.0 Ma) granodiorite, quartz diorite, and granite of the Muir-Fairweather felsic-intermediate belt; (7) Eocene and Oligocene (55.8–23.0 Ma) layered gabbros of the Crillon-La Perouse mafic belt; and (8) Oligocene (33.9–23.0 Ma) quartz monzonite and quartz syenite of the Tkope belt. The rocks are further classified into 17 different combination age-compositional units; some younger belts are superimposed on older ones. Almost all these plutonic rocks are related to Cretaceous and Tertiary subduction events.</p>\n<br/>\n<p>The six major plutonic belts intrude the three southeast Alaska geographic subregions in Glacier Bay National Park and Preserve, from west to east: (1) the Coastal Islands, (2) the Tarr Inlet Suture Zone (which contains the Border Ranges Fault Zone), and (3) the Central Alexander Archipelago. Each subregion includes rocks assigned to one or more tectonic terranes.</p>\n<br/>\n<p>The various plutonic belts intrude different terranes in different subregions. In general, the Early Cretaceous plutons intrude rocks of the Alexander and Wrangellia terranes in the Central Alexander Archipelago subregion, and the Paleogene plutons intrude rocks of the Chugach, Alexander, and Wrangellia terranes in the Coastal Islands, Tarr Inlet Suture Zone, and Central Alexander Archipelago subregions.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Studies by the U.S. Geological Survey in Alaska, 2008-2009 (Professional Paper 1776)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1776E","collaboration":"Prepared in cooperation with the National Park Service.","usgsCitation":"Brew, D.A., Tellier, K.E., Lanphere, M.A., Nielsen, D.C., Smith, J., and Sonnevil, R.A., 2014, Geochronology of plutonic rocks and their tectonic terranes in Glacier Bay National Park and Preserve, southeast Alaska: U.S. Geological Survey Professional Paper 1776, Report: iv, 18 p.; 1 Plate: 17.0 x 11.0 inches, https://doi.org/10.3133/pp1776E.","productDescription":"Report: iv, 18 p.; 1 Plate: 17.0 x 11.0 inches","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-041762","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":284080,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1776E.jpg"},{"id":284079,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/pp/1776/e/pdf/pp1776E_figure1.pdf"},{"id":284078,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1776/e/pdf/pp1776E.pdf"},{"id":284077,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1776/e/"}],"country":"United States","state":"Alaska","otherGeospatial":"Central Alexander Archipelago, Glacier Bay National Park And Preserve, Johns Hopkins Inlet","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -138.0,58.1 ], [ -138.0,59.3 ], [ -135.0,59.3 ], [ -135.0,58.1 ], [ -138.0,58.1 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5b0ee4b0b290850f9c4c","contributors":{"authors":[{"text":"Brew, David A. dbrew@usgs.gov","contributorId":3244,"corporation":false,"usgs":true,"family":"Brew","given":"David","email":"dbrew@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":490657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tellier, Kathleen E.","contributorId":25860,"corporation":false,"usgs":true,"family":"Tellier","given":"Kathleen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":490658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lanphere, Marvin A. alder@usgs.gov","contributorId":2696,"corporation":false,"usgs":true,"family":"Lanphere","given":"Marvin","email":"alder@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":490656,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nielsen, Diane C.","contributorId":50401,"corporation":false,"usgs":true,"family":"Nielsen","given":"Diane","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":490660,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, James G.","contributorId":98712,"corporation":false,"usgs":true,"family":"Smith","given":"James G.","affiliations":[],"preferred":false,"id":490661,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sonnevil, Ronald A.","contributorId":30132,"corporation":false,"usgs":true,"family":"Sonnevil","given":"Ronald","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":490659,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70098089,"text":"70098089 - 2014 - Microbial aggregates within tissues infect a diversity of corals throughout the Indo-Pacific","interactions":[],"lastModifiedDate":"2018-02-23T14:50:12","indexId":"70098089","displayToPublicDate":"2014-03-17T13:02:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Microbial aggregates within tissues infect a diversity of corals throughout the Indo-Pacific","docAbstract":"<p>Coral reefs are highly diverse ecosystems where symbioses play a pivotal role. Corals contain cell-associated microbial aggregates (CAMA), yet little is known about how widespread they are among coral species or the nature of the symbiotic relationship. Using histology, we found CAMA within 24 species of corals from 6 genera from Hawaii, American Samoa, Palmyra, Johnston Atoll, Guam, and Australia. Prevalence (%) of infection varied among coral genera: Acropora, Porites, and Pocillopora were commonly infected whereas Montipora were not. Acropora from the Western Pacific were significantly more likely to be infected with CAMA than those from the Central Pacific, whereas the reverse was true for Porites. Compared with apparently healthy colonies, tissues from diseased colonies were significantly more likely to have both surface and basal body walls infected. The close association of CAMA with host cells in numerous species of apparently healthy corals and lack of associated cell pathology reveals an intimate agent-host association. Furthermore, CAMA are Gram negative and in some corals may be related to chlamydia or rickettsia. We propose that CAMA in adult corals are facultative secondary symbionts that could play an important ecological role in some dominant coral genera in the Indo-Pacific. CAMA are important in the life histories of other animals, and more work is needed to understand their role in the distribution, evolution, physiology, and immunology of reef corals.</p>","language":"English","publisher":"Inter-Research","doi":"10.3354/meps10698","usgsCitation":"Work, T.M., and Aeby, G.S., 2014, Microbial aggregates within tissues infect a diversity of corals throughout the Indo-Pacific: Marine Ecology Progress Series, v. 500, p. 1-9, https://doi.org/10.3354/meps10698.","productDescription":"9 p.","startPage":"1","endPage":"9","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":473105,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps10698","text":"Publisher Index Page"},{"id":284076,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284070,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps10698"}],"volume":"500","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bd4bbe4b0b6d21dd65313","contributors":{"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":491563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aeby, Greta S.","contributorId":64783,"corporation":false,"usgs":false,"family":"Aeby","given":"Greta","email":"","middleInitial":"S.","affiliations":[{"id":13394,"text":"Hawai‘i Institute of Marine Biology","active":true,"usgs":false}],"preferred":false,"id":491564,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70056142,"text":"fs20133076 - 2014 - Water resources of Cameron Parish, Louisiana","interactions":[],"lastModifiedDate":"2014-03-18T08:27:44","indexId":"fs20133076","displayToPublicDate":"2014-03-17T12:48:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3076","title":"Water resources of Cameron Parish, Louisiana","docAbstract":"This fact sheet presents a brief overview of groundwater and surface-water resources in Cameron Parish, Louisiana. Information on the availability, use, and quality of water from groundwater and surface-water sources in the parish is discussed. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System (<a href=\"http://waterdata.usgs.gov/nwis\">http://waterdata.usgs.gov/nwis</a>) are the primary sources of this information.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133076","issn":"2327-6932","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Prakken, L., 2014, Water resources of Cameron Parish, Louisiana: U.S. Geological Survey Fact Sheet 2013-3076, 6 p., https://doi.org/10.3133/fs20133076.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-045733","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":284069,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133076.jpg"},{"id":284067,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3076/"},{"id":284068,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3076/pdf/fs2013-3076.pdf"}],"projection":"Universal Transverse Mercator, zone 15","datum":"North American Datum of 1983","country":"United States","state":"Louisiana","otherGeospatial":"Cameron Parish","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0,29.666667 ], [ -94.0,30.166667 ], [ -92.5,30.166667 ], [ -92.5,29.666667 ], [ -94.0,29.666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7cb5e4b0b2908510eec3","contributors":{"authors":[{"text":"Prakken, Lawrence B.","contributorId":73978,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence B.","affiliations":[],"preferred":false,"id":486331,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70056143,"text":"fs20133073 - 2014 - Water resources of Jefferson Parish, Louisiana","interactions":[],"lastModifiedDate":"2014-03-17T12:52:12","indexId":"fs20133073","displayToPublicDate":"2014-03-17T12:47:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3073","title":"Water resources of Jefferson Parish, Louisiana","docAbstract":"This fact sheet presents a brief overview of groundwater and surface-water resources in Jefferson Parish, Louisiana. Information on the availability, use, and quality of water from groundwater and surface-water sources in the parish is discussed. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System (<a href=\"http://waterdata.usgs.gov/nwis\" target=\"_blank\">http://waterdata.usgs.gov/nwis</a>) are the primary sources of this information.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133073","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Prakken, L., and Lovelace, J.K., 2014, Water resources of Jefferson Parish, Louisiana: U.S. Geological Survey Fact Sheet 2013-3073, 6 p., https://doi.org/10.3133/fs20133073.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045758","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":284066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133073.jpg"},{"id":284065,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3073/pdf/fs2013-3073.pdf"},{"id":284064,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3073/"}],"country":"United States","state":"Louisiana","county":"Jefferson Parish","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.3545,29.0976 ], [ -90.3545,30.1946 ], [ -89.7032,30.1946 ], [ -89.7032,29.0976 ], [ -90.3545,29.0976 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7cb8e4b0b2908510eee5","contributors":{"authors":[{"text":"Prakken, Lawrence B.","contributorId":73978,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence B.","affiliations":[],"preferred":false,"id":486333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovelace, John K. 0000-0002-8532-2599 jlovelac@usgs.gov","orcid":"https://orcid.org/0000-0002-8532-2599","contributorId":999,"corporation":false,"usgs":true,"family":"Lovelace","given":"John","email":"jlovelac@usgs.gov","middleInitial":"K.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486332,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70058522,"text":"sir20135227 - 2014 - Simulation of groundwater flow in the \"1,500-foot\" sand and \"2,000-foot\" sand, with scenarios to mitigate saltwater migration in the \"2,000-foot\" sand of the Baton Rouge area, Louisiana","interactions":[],"lastModifiedDate":"2014-06-11T15:46:22","indexId":"sir20135227","displayToPublicDate":"2014-03-17T10:46:00","publicationYear":"2014","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":"2013-5227","title":"Simulation of groundwater flow in the \"1,500-foot\" sand and \"2,000-foot\" sand, with scenarios to mitigate saltwater migration in the \"2,000-foot\" sand of the Baton Rouge area, Louisiana","docAbstract":"<p>Groundwater withdrawals have caused saltwater to encroach into freshwater-bearing aquifers beneath Baton Rouge, Louisiana. Groundwater investigations in the 1960s identified a freshwater-saltwater interface located at the Baton Rouge Fault, across which abrupt changes in water levels occur. Aquifers south of the fault generally contain saltwater, and aquifers north of the fault contain freshwater, though limited saltwater encroachment has been detected within 7 of the 10 aquifers north of the fault. The 10 aquifers beneath the Baton Rouge area, which includes East and West Baton Rouge Parishes, Pointe Coupee Parish, and East and West Feliciana Parishes, provided about 167 million gallons per day (Mgal/d) for public supply and industrial use in 2010. Groundwater withdrawals from the “2,000-foot” sand in East Baton Rouge Parish have caused water-level drawdown as great as 356 feet (ft) and induced saltwater movement northward across the fault. Saltwater encroachment threatens industrial wells that are located about 3 miles north of the fault. Constant and variable-density groundwater models were developed with the MODFLOW and SEAWAT groundwater modeling codes to evaluate strategies to control saltwater migration, including changes in the distribution of groundwater withdrawals and installation of “scavenger” wells to intercept saltwater before it reaches existing production wells.</p>\n<br/>\n<p>Six hypothetical scenarios simulated the effects of different groundwater withdrawal options on groundwater levels within the “1,500-foot” sand and the “2,000-foot” sand and the transport of saltwater within the “2,000-foot” sand during 2008–47. Scenario 1 is considered a base case for comparison to the other five scenarios and simulates continuation of 2007 reported groundwater withdrawals. Scenario 2 simulates discontinuation of withdrawals from seven selected industrial wells located in the northwest corner of East Baton Rouge Parish and predicts that water levels within the “1,500-foot” sand will be about 10 to 12 ft higher with this withdrawal reduction than under scenario 1. Scenario 3 simulates the effects of a scavenger well on water levels and chloride concentrations within the “2,000-foot” sand. The scavenger well, which withdraws water from the base of the “2,000-foot” sand at a rate of 2.0 Mgal/d, is simulated at two possible locations. In comparison to the concentrations simulated in scenario 1, operation of the scavenger well at the locations specified in scenario 3 reduces the chloride concentrations at all existing chloride-observation well locations. Scenario 4 simulates a 3.6 Mgal/d reduction in total groundwater withdrawals from selected wells screened in the “2,000-foot” sand that are located in the Baton Rouge industrial district. Under scenario 4, chloride concentrations decrease in the leading portion of the plume south of the industrial district but increase in areas farther east. Scenario 5 simulates the effects of total cessation of withdrawals from the “2,000-foot” sand in the industrial district, which causes a change in the groundwater-flow direction toward municipal supply wells and increased chloride concentrations in the area where municipal supply wells are located. Scenario 6 simulates the combined effect of withdrawal reductions from the “2,000-foot” sand and operation of a scavenger well and was most effective at decreasing the size of the plume area and median and mean chloride concentrations within the “2000-foot” sand in the Baton Rouge area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135227","issn":"2328-0328","collaboration":"Prepared in cooperation with the Capital Area Groundwater Conservation Commission; the Louisiana Department of Transportation and Development, Public Works and Water Resources Division; and the City of Baton Rouge and Parish of East Baton Rouge","usgsCitation":"Heywood, C.E., Griffith, J.M., and Lovelace, J.K., 2014, Simulation of groundwater flow in the \"1,500-foot\" sand and \"2,000-foot\" sand, with scenarios to mitigate saltwater migration in the \"2,000-foot\" sand of the Baton Rouge area, Louisiana (Version 1.0 March 17, 2014; Version 1.1 April 28, 2014; Version 1.2 June 11, 2014): U.S. Geological Survey Scientific Investigations Report 2013-5227, x, 63 p., https://doi.org/10.3133/sir20135227.","productDescription":"x, 63 p.","numberOfPages":"76","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051040","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":284058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135227.PNG"},{"id":284056,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5227/"},{"id":284057,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5227/pdf/sir2013-5227.pdf"}],"projection":"Universal Transverse Mercator","datum":"North American Datum of 1983","country":"United States","state":"Louisiana","county":"East Baton Rouge Parish;East Feliciana Parish;Pointe Coupee Parish;West Baton Rouge Parish;West Feliciana Parish","city":"Baton Rouge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.0709,30.1641 ], [ -92.0709,31.4978 ], [ -90.2496,31.4978 ], [ -90.2496,30.1641 ], [ -92.0709,30.1641 ] ] ] } } ] }","edition":"Version 1.0 March 17, 2014; Version 1.1 April 28, 2014; Version 1.2 June 11, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517062e4b05569d805a3ae","contributors":{"authors":[{"text":"Heywood, Charles E. cheywood@usgs.gov","contributorId":2043,"corporation":false,"usgs":true,"family":"Heywood","given":"Charles","email":"cheywood@usgs.gov","middleInitial":"E.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffith, Jason M. 0000-0002-8942-0380 jmgriff@usgs.gov","orcid":"https://orcid.org/0000-0002-8942-0380","contributorId":2923,"corporation":false,"usgs":true,"family":"Griffith","given":"Jason","email":"jmgriff@usgs.gov","middleInitial":"M.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487139,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovelace, John K. 0000-0002-8532-2599 jlovelac@usgs.gov","orcid":"https://orcid.org/0000-0002-8532-2599","contributorId":999,"corporation":false,"usgs":true,"family":"Lovelace","given":"John","email":"jlovelac@usgs.gov","middleInitial":"K.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487137,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70099919,"text":"70099919 - 2014 - Floodplain biogeochemical processing of floodwaters in the Atchafalaya River Basin during the Mississippi River flood of 2011","interactions":[],"lastModifiedDate":"2014-05-16T16:09:35","indexId":"70099919","displayToPublicDate":"2014-03-17T09:04:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Floodplain biogeochemical processing of floodwaters in the Atchafalaya River Basin during the Mississippi River flood of 2011","docAbstract":"The 2011 flood in the Lower Mississippi resulted in the second highest recorded river flow diverted into the Atchafalaya River Basin (ARB). The higher water levels during the flood peak resulted in high hydrologic connectivity between the Atchafalaya River and floodplain, with up to 50% of the Atchafalaya River water moving off channel. Water quality samples were collected throughout the ARB over the course of the flood event. Significant nitrate (NO<sub>3</sub>-) reduction (75%) occurred within the floodplain, resulting in a total NO<sub>3</sub>- reduction of 16.6% over the flood. The floodplain was a small but measurable source of dissolved reactive phosphorus (SRP) and ammonium (NH<sub>4</sub>+). Collectively, these results from this large flood event suggest that enhancing river-floodplain connectivity through freshwater diversions will reduce NO<sub>3</sub>- loads to the Gulf of Mexico during large annual floods.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research: Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/2013JG002477","usgsCitation":"Scott, D.T., Keim, R., Edwards, B., Jones, C.N., and Kroes, D.E., 2014, Floodplain biogeochemical processing of floodwaters in the Atchafalaya River Basin during the Mississippi River flood of 2011: Journal of Geophysical Research: Biogeosciences, v. 119, no. 4, p. 537-546, https://doi.org/10.1002/2013JG002477.","productDescription":"10 p.","startPage":"537","endPage":"546","numberOfPages":"10","ipdsId":"IP-054527","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":473106,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jg002477","text":"Publisher Index Page"},{"id":285087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":285086,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013JG002477"}],"country":"United States","state":"Louisiana","otherGeospatial":"Atchafalaya River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.8258,29.4749 ], [ -91.8258,31.0271 ], [ -91.1721,31.0271 ], [ -91.1721,29.4749 ], [ -91.8258,29.4749 ] ] ] } } ] }","volume":"119","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-04-21","publicationStatus":"PW","scienceBaseUri":"5351703ce4b05569d805a206","contributors":{"authors":[{"text":"Scott, Durelle T.","contributorId":102383,"corporation":false,"usgs":true,"family":"Scott","given":"Durelle","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":492068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keim, Richard F.","contributorId":21858,"corporation":false,"usgs":true,"family":"Keim","given":"Richard F.","affiliations":[],"preferred":false,"id":492064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Brandon L.","contributorId":35231,"corporation":false,"usgs":true,"family":"Edwards","given":"Brandon L.","affiliations":[],"preferred":false,"id":492066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, C. Nathan","contributorId":38894,"corporation":false,"usgs":true,"family":"Jones","given":"C.","email":"","middleInitial":"Nathan","affiliations":[],"preferred":false,"id":492067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kroes, Daniel E.","contributorId":32260,"corporation":false,"usgs":true,"family":"Kroes","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":492065,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70099966,"text":"70099966 - 2014 - ListingAnalyst: A program for analyzing the main output file from MODFLOW","interactions":[],"lastModifiedDate":"2014-03-28T08:59:09","indexId":"70099966","displayToPublicDate":"2014-03-17T08:56:03","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"ListingAnalyst: A program for analyzing the main output file from MODFLOW","docAbstract":"ListingAnalyst is a Windows® program for viewing the main output file from MODFLOW-2005, MODFLOW-NWT, or MODFLOW-LGR. It organizes and displays large files quickly without using excessive memory. The sections and subsections of the file are displayed in a tree-view control, which allows the user to navigate quickly to desired locations in the files. ListingAnalyst gathers error and warning messages scattered throughout the main output file and displays them all together in an error and a warning tab. A grid view displays tables in a readable format and allows the user to copy the table into a spreadsheet. The user can also search the file for terms of interest.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/gwat.12054","usgsCitation":"Winston, R.B., and Paulinski, S., 2014, ListingAnalyst: A program for analyzing the main output file from MODFLOW: Ground Water, v. 52, no. 2, p. 317-321, https://doi.org/10.1111/gwat.12054.","productDescription":"5 p.","startPage":"317","endPage":"321","ipdsId":"IP-043055","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":438770,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9O0IL7V","text":"USGS data release","linkHelpText":"ListingAnalyst version 1.2"},{"id":285085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":285078,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gwat.12054"}],"volume":"52","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-04-12","publicationStatus":"PW","scienceBaseUri":"53517053e4b05569d805a30a","contributors":{"authors":[{"text":"Winston, Richard B. 0000-0002-6287-8834 rbwinst@usgs.gov","orcid":"https://orcid.org/0000-0002-6287-8834","contributorId":3567,"corporation":false,"usgs":true,"family":"Winston","given":"Richard","email":"rbwinst@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":492071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paulinski, Scott 0000-0001-6548-8164 spaulinski@usgs.gov","orcid":"https://orcid.org/0000-0001-6548-8164","contributorId":4269,"corporation":false,"usgs":true,"family":"Paulinski","given":"Scott","email":"spaulinski@usgs.gov","affiliations":[],"preferred":true,"id":492072,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70099139,"text":"70099139 - 2014 - Vocal activity as a low cost and scalable index of seabird colony size","interactions":[],"lastModifiedDate":"2017-11-24T17:49:42","indexId":"70099139","displayToPublicDate":"2014-03-16T06:36:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Vocal activity as a low cost and scalable index of seabird colony size","docAbstract":"Although wildlife conservation actions have increased globally in number and complexity, the lack of scalable, cost-effective monitoring methods limits adaptive management and the evaluation of conservation efficacy. Automated sensors and computer-aided analyses provide a scalable and increasingly cost-effective tool for conservation monitoring. A key assumption of automated acoustic monitoring of birds is that measures of acoustic activity at colony sites are correlated with the relative abundance of nesting birds. We tested this assumption for nesting Forster's terns (Sterna forsteri) in San Francisco Bay for 2 breeding seasons. Sensors recorded ambient sound at 7 colonies that had 15–111 nests in 2009 and 2010. Colonies were spaced at least 250 m apart and ranged from 36 to 2,571 m<sup>2</sup>. We used spectrogram cross-correlation to automate the detection of tern calls from recordings. We calculated mean seasonal call rate and compared it with mean active nest count at each colony. Acoustic activity explained 71% of the variation in nest abundance between breeding sites and 88% of the change in colony size between years. These results validate a primary assumption of acoustic indices; that is, for terns, acoustic activity is correlated to relative abundance, a fundamental step toward designing rigorous and scalable acoustic monitoring programs to measure the effectiveness of conservation actions for colonial birds and other acoustically active wildlife.","language":"English","publisher":"Wiley","doi":"10.1111/cobi.12264","usgsCitation":"Borker, A.L., McKown, M.W., Ackerman, J., Eagles-Smith, C.A., Tershy, B.R., and Croll, D.A., 2014, Vocal activity as a low cost and scalable index of seabird colony size: Conservation Biology, v. 28, no. 4, p. 1100-1108, https://doi.org/10.1111/cobi.12264.","productDescription":"9 p.","startPage":"1100","endPage":"1108","ipdsId":"IP-039838","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":284347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.51,37.44 ], [ -122.51,38.14 ], [ -122.04,38.14 ], [ -122.04,37.44 ], [ -122.51,37.44 ] ] ] } } ] }","volume":"28","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-03-14","publicationStatus":"PW","scienceBaseUri":"5351706de4b05569d805a43d","contributors":{"authors":[{"text":"Borker, Abraham L.","contributorId":19472,"corporation":false,"usgs":true,"family":"Borker","given":"Abraham","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":491850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKown, Matthew W.","contributorId":102790,"corporation":false,"usgs":true,"family":"McKown","given":"Matthew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":491853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":491854,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":491849,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tershy, Bernie R.","contributorId":71881,"corporation":false,"usgs":true,"family":"Tershy","given":"Bernie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":491852,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Croll, Donald A.","contributorId":62520,"corporation":false,"usgs":true,"family":"Croll","given":"Donald","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":491851,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70074413,"text":"70074413 - 2014 - Crustal migration of CO2-rich magmatic fluids recorded by tree-ring radiocarbon and seismicity at Mammoth Mountain, CA, USA","interactions":[],"lastModifiedDate":"2019-03-11T10:06:07","indexId":"70074413","displayToPublicDate":"2014-03-15T15:42:00","publicationYear":"2014","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":"Crustal migration of CO2-rich magmatic fluids recorded by tree-ring radiocarbon and seismicity at Mammoth Mountain, CA, USA","docAbstract":"Unrest at Mammoth Mountain over the past several decades, manifest by seismicity, ground deformation, diffuse CO<sub>2</sub> emissions, and elevated <sup>3</sup>He/<sup>4</sup>He ratios in fumarolic gases has been driven by the release of CO<sub>2</sub>-rich fluids from basaltic intrusions in the middle to lower crust. Recent unrest included the occurrence of three lower-crustal (32–19 km depth) seismic swarms beneath Mammoth Mountain in 2006, 2008 and 2009 that were consistently followed by peaks in the occurrence rate of shallow (≤10 km depth) earthquakes. We measured <sup>14</sup>C in the growth rings (1998–2012) of a tree growing in the largest (∼0.3 km<sup>2</sup>) area of diffuse CO<sub>2</sub> emissions on Mammoth Mountain (the Horseshoe Lake tree kill; HLTK) and applied atmospheric CO<sub>2</sub> concentration source area modeling to confirm that the tree was a reliable integrator of magmatic CO<sub>2</sub> emissions over most of this area. The tree-ring <sup>14</sup>C record implied that magmatic CO<sub>2</sub> emissions from the HLTK were relatively stable from 1998 to 2009, nearly doubled from 2009 to 2011, and then declined by the 2012 growing season. The initial increase in CO<sub>2</sub> emissions was detected during the growing season that immediately followed the largest (February 2010) peak in the occurrence rate of shallow earthquakes. Migration of CO<sub>2</sub>-rich magmatic fluids may have driven observed patterns of elevated deep, then shallow seismicity, while the relationship between pore fluid pressures within a shallow (upper 3 km of crust) fluid reservoir and permeability structure of the reservoir cap rock may have controlled the temporal pattern of surface CO<sub>2</sub> emissions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth and Planetary Science Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2013.12.035","usgsCitation":"Lewicki, J.L., Hilley, G.E., Shelly, D.R., King, J.C., McGeehin, J., Mangan, M.T., and Evans, W.C., 2014, Crustal migration of CO2-rich magmatic fluids recorded by tree-ring radiocarbon and seismicity at Mammoth Mountain, CA, USA: Earth and Planetary Science Letters, v. 390, p. 52-58, https://doi.org/10.1016/j.epsl.2013.12.035.","productDescription":"7 p.","startPage":"52","endPage":"58","numberOfPages":"7","ipdsId":"IP-050739","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":281681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mammoth Mountain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.1,37.58 ], [ -119.1,37.66 ], [ -119.0,37.66 ], [ -119.0,37.58 ], [ -119.1,37.58 ] ] ] } } ] }","volume":"390","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52ea22e5e4b0444d1ce67815","contributors":{"authors":[{"text":"Lewicki, Jennifer L. 0000-0003-1994-9104 jlewicki@usgs.gov","orcid":"https://orcid.org/0000-0003-1994-9104","contributorId":5071,"corporation":false,"usgs":true,"family":"Lewicki","given":"Jennifer","email":"jlewicki@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":489578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hilley, George E.","contributorId":85484,"corporation":false,"usgs":true,"family":"Hilley","given":"George","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":489580,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shelly, David R. dshelly@usgs.gov","contributorId":2978,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":489575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, John C.","contributorId":60949,"corporation":false,"usgs":true,"family":"King","given":"John","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":489579,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGeehin, John P. 0000-0002-5320-6091 mcgeehin@usgs.gov","orcid":"https://orcid.org/0000-0002-5320-6091","contributorId":3444,"corporation":false,"usgs":true,"family":"McGeehin","given":"John P.","email":"mcgeehin@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":489577,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mangan, Margaret T. 0000-0002-5273-8053 mmangan@usgs.gov","orcid":"https://orcid.org/0000-0002-5273-8053","contributorId":3343,"corporation":false,"usgs":true,"family":"Mangan","given":"Margaret","email":"mmangan@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":489576,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Evans, William C. 0000-0001-5942-3102 wcevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5942-3102","contributorId":2353,"corporation":false,"usgs":true,"family":"Evans","given":"William","email":"wcevans@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":489574,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70095819,"text":"ofr20141051 - 2014 - Mercury in fishes from 21 national parks in the Western United States: inter- and intra-park variation in concentrations and ecological risk","interactions":[],"lastModifiedDate":"2014-07-22T11:29:49","indexId":"ofr20141051","displayToPublicDate":"2014-03-14T14:36:00","publicationYear":"2014","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":"2014-1051","title":"Mercury in fishes from 21 national parks in the Western United States: inter- and intra-park variation in concentrations and ecological risk","docAbstract":"<p>Mercury (Hg) is a global contaminant and human activities have increased atmospheric Hg concentrations 3- to 5-fold during the past 150 years. This increased release into the atmosphere has resulted in elevated loadings to aquatic habitats where biogeochemical processes promote the microbial conversion of inorganic Hg to methylmercury, the bioavailable form of Hg. The physicochemical properties of Hg and its complex environmental cycle have resulted in some of the most remote and protected areas of the world becoming contaminated with Hg concentrations that threaten ecosystem and human health. The national park network in the United States is comprised of some of the most pristine and sensitive wilderness in North America. There is concern that via global distribution, Hg contamination could threaten the ecological integrity of aquatic communities in the parks and the wildlife that depends on them. In this study, we examined Hg concentrations in non-migratory freshwater fish in 86 sites across 21 national parks in the Western United States. We report Hg concentrations of more than 1,400 fish collected in waters extending over a 4,000 kilometer distance, from Alaska to the arid Southwest. Across all parks, sites, and species, fish total Hg (THg) concentrations ranged from 9.9 to 1,109 nanograms per gram wet weight (ng/g ww) with a mean of 77.7 ng/g ww. We found substantial variation in fish THg concentrations among and within parks, suggesting that patterns of Hg risk are driven by processes occurring at a combination of scales. Additionally, variation (up to 20-fold) in site-specific fish THg concentrations within individual parks suggests that more intensive sampling in some parks will be required to effectively characterize Hg contamination in western national parks.</p>\n<br/>\n<p>Across all fish sampled, only 5 percent had THg concentrations exceeding a benchmark (200 ng/g ww) associated with toxic responses within the fish themselves. However, Hg concentrations in 35 percent of fish sampled were above a benchmark for risk to highly sensitive avian consumers (90 ng/g ww), and THg concentrations in 68 percent of fish sampled were above exposure levels recommended by the Great Lakes Advisory Group (50 ng/g ww) for unlimited consumption by humans. Of the fish assessed for risk to human consumers (that is, species that are large enough to be consumed by recreational or subsistence anglers), only one individual fish from Yosemite National Park had a muscle Hg concentration exceeding the benchmark (950 ng/g ww) at which no human consumption is advised. Zion, Capital Reef, Wrangell-St. Elias, and Lake Clark National Parks all contained sites in which most fish exceeded benchmarks for the protection of human and wildlife health. This finding is particularly concerning in Zion and Capitol Reef National Parks because the fish from these parks were speckled dace, a small, invertebrate-feeding species, yet their Hg concentrations were as high or higher than those in the largest, long-lived predatory species, such as lake trout. Future targeted research and monitoring across park habitats would help identify patterns of Hg distribution across the landscape and facilitate management decisions aimed at reducing the ecological risk posed by Hg contamination in sensitive ecosystems protected by the National Park Service.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141051","issn":"2331-1258","collaboration":"Prepared in cooperation with the National Park Service, Air Resources Division","usgsCitation":"Eagles-Smith, C.A., Willacker, J.J., and Flanagan Pritz, C.M., 2014, Mercury in fishes from 21 national parks in the Western United States: inter- and intra-park variation in concentrations and ecological risk: U.S. Geological Survey Open-File Report 2014-1051, vi, 54 p., https://doi.org/10.3133/ofr20141051.","productDescription":"vi, 54 p.","numberOfPages":"64","onlineOnly":"Y","ipdsId":"IP-053804","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":284034,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141051.jpg"},{"id":284032,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1051/"},{"id":284033,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1051/pdf/ofr2014-1051.pdf"}],"country":"United States","state":"Alaska;Arizona;California;Colorado;Idaho;Montana;Nevada;New Mexico;Oregon;Utah;Washington","otherGeospatial":"Captiol Reef;Crater Lake;Denali;Glacier;Glacier Bay;Grand Canyon;Grand Teton;Great Basin;Great Sand Dunes;Lake Clark;Lassen Volcanic;Mesa Verde;Mount Rainer;North Cascades;Olympic;Rocky Mountain;Sequoia-kings Canyon;Yellowstone;Yosemite;Zion","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -161.53,31.29 ], [ -161.53,68.24 ], [ -103.06,68.24 ], [ -103.06,31.29 ], [ -161.53,31.29 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd669be4b0b29085100dce","contributors":{"authors":[{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willacker, James J. jwillacker@usgs.gov","contributorId":5614,"corporation":false,"usgs":true,"family":"Willacker","given":"James","email":"jwillacker@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":491461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flanagan Pritz, Colleen M.","contributorId":64156,"corporation":false,"usgs":true,"family":"Flanagan Pritz","given":"Colleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":491462,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70096613,"text":"70096613 - 2014 - Observations of static Coulomb stress triggering of the November 2011 M5.7 Oklahoma earthquake sequence","interactions":[],"lastModifiedDate":"2017-01-11T16:47:39","indexId":"70096613","displayToPublicDate":"2014-03-14T14:22:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Observations of static Coulomb stress triggering of the November 2011 M5.7 Oklahoma earthquake sequence","docAbstract":"<p><span>In November 2011, a </span><i>M</i><span>5.0 earthquake occurred less than a day before a </span><i>M</i><span>5.7 earthquake near Prague, Oklahoma, which may have promoted failure of the mainshock and thousands of aftershocks along the Wilzetta fault, including a </span><i>M</i><span>5.0 aftershock. The </span><i>M</i><span>5.0 foreshock occurred in close proximity to active fluid injection wells; fluid injection can cause a buildup of pore fluid pressure, decrease the fault strength, and may induce earthquakes. </span><i>Keranen et al</i><span>. [</span><a class=\"link__reference js-link__reference\" title=\"Link to bibliographic citation\" rel=\"references:#jgrb50529-bib-0030\" href=\"http://onlinelibrary.wiley.com/doi/10.1002/2013JB010612/abstract#jgrb50529-bib-0030\" data-mce-href=\"http://onlinelibrary.wiley.com/doi/10.1002/2013JB010612/abstract#jgrb50529-bib-0030\">2013</a><span>] links the </span><i>M</i><span>5.0 foreshock with fluid injection, but the relationship between the foreshock and successive events has not been investigated. Here we examine the role of coseismic Coulomb stress transfer on earthquakes that follow the </span><i>M</i><span>5.0 foreshock, including the </span><i>M</i><span>5.7 mainshock. We resolve the static Coulomb stress change onto the focal mechanism nodal plane that is most consistent with the rupture geometry of the three </span><i>M</i><span> ≥ 5.0 earthquakes, as well as specified receiver fault planes that reflect the regional stress orientation. We find that Coulomb stress is increased, e.g., fault failure is promoted, on the nodal planes of ~60% of the events that have focal mechanism solutions, and more specifically, that the </span><i>M</i><span>5.0 foreshock promoted failure on the rupture plane of the </span><i>M</i><span>5.7 mainshock. We test our results over a range of effective coefficient of friction values. Hence, we argue that the </span><i>M</i><span>5.0 foreshock, induced by fluid injection, potentially triggered a cascading failure of earthquakes along the complex Wilzetta fault system.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013JB010612","usgsCitation":"Sumy, D.F., Cochran, E.S., Keranen, K., Wei, M., and Abers, G.A., 2014, Observations of static Coulomb stress triggering of the November 2011 M5.7 Oklahoma earthquake sequence: Journal of Geophysical Research B: Solid Earth, v. 119, no. 3, p. 1904-1923, https://doi.org/10.1002/2013JB010612.","productDescription":"20 p.","startPage":"1904","endPage":"1923","numberOfPages":"20","ipdsId":"IP-048959","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":473107,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jb010612","text":"Publisher Index Page"},{"id":284031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","city":"Prague","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.5,34.5 ], [ -97.5,36.5 ], [ -95.5,36.5 ], [ -95.5,34.5 ], [ -97.5,34.5 ] ] ] } } ] }","volume":"119","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-07","publicationStatus":"PW","scienceBaseUri":"53517058e4b05569d805a34e","contributors":{"authors":[{"text":"Sumy, Danielle F.","contributorId":108025,"corporation":false,"usgs":true,"family":"Sumy","given":"Danielle","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":491511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":491507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keranen, Katie M.","contributorId":44064,"corporation":false,"usgs":true,"family":"Keranen","given":"Katie M.","affiliations":[],"preferred":false,"id":491509,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wei, Maya","contributorId":30141,"corporation":false,"usgs":true,"family":"Wei","given":"Maya","email":"","affiliations":[],"preferred":false,"id":491508,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Abers, Geoffrey A.","contributorId":90195,"corporation":false,"usgs":true,"family":"Abers","given":"Geoffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":491510,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70095233,"text":"70095233 - 2014 - Comparison of smoothing methods for the development of a smoothed seismicity model for Alaska and the implications for seismic hazard","interactions":[],"lastModifiedDate":"2014-07-04T11:56:52","indexId":"70095233","displayToPublicDate":"2014-03-14T11:53:27","publicationYear":"2014","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Comparison of smoothing methods for the development of a smoothed seismicity model for Alaska and the implications for seismic hazard","docAbstract":"<p>In anticipation of the update of the Alaska seismic hazard maps (ASHMs) by the U. S. Geological Survey, we report progress on the comparison of smoothed seismicity models developed using fixed and adaptive smoothing algorithms, and investigate the sensitivity of seismic hazard to the models. While fault-based sources, such as those for great earthquakes in the Alaska-Aleutian subduction zone and for the ~10 shallow crustal faults within Alaska, dominate the seismic hazard estimates for locations near to the sources, smoothed seismicity rates make important contributions to seismic hazard away from fault-based sources and where knowledge of recurrence and magnitude is not sufficient for use in hazard studies. Recent developments in adaptive smoothing methods and statistical tests for evaluating and comparing rate models prompt us to investigate the appropriateness of adaptive smoothing for the ASHMs. We develop smoothed seismicity models for Alaska using fixed and adaptive smoothing methods and compare the resulting models by calculating and evaluating the joint likelihood test. We use the earthquake catalog, and associated completeness levels, developed for the 2007 ASHM to produce fixed-bandwidth-smoothed models with smoothing distances varying from 10 to 100 km and adaptively smoothed models. Adaptive smoothing follows the method of Helmstetter et al. and defines a unique smoothing distance for each earthquake epicenter from the distance to the nth nearest neighbor. The consequence of the adaptive smoothing methods is to reduce smoothing distances, causing locally increased seismicity rates, where seismicity rates are high and to increase smoothing distances where seismicity is sparse. We follow guidance from previous studies to optimize the neighbor number (n-value) by comparing model likelihood values, which estimate the likelihood that the observed earthquake epicenters from the recent catalog are derived from the smoothed rate models. We compare likelihood values from all rate models to rank the smoothing methods. We find that adaptively smoothed seismicity models yield better likelihood values than the fixed smoothing models. Holding all other (source and ground motion) models constant, we calculate seismic hazard curves for all points across Alaska on a 0.1 degree grid, using the adaptively smoothed and fixed smoothed seismicity models separately. Because adaptively smoothed models concentrate seismicity near the earthquake epicenters where seismicity rates are high, the corresponding hazard values are higher, locally, but reduced with distance from observed seismicity, relative to the hazard from fixed-bandwidth models. We suggest that adaptively smoothed seismicity models be considered for implementation in the update to the ASHMs because of their improved likelihood estimates relative to fixed smoothing methods; however, concomitant increases in seismic hazard will cause significant changes in regions of high seismicity, such as near the subduction zone, northeast of Kotzebue, and along the NNE trending zone of seismicity in the Alaskan interior.</p>","largerWorkTitle":"American Geophysical Union, Fall Meeting 2013","conferenceTitle":"American Geophysical Union, Fall Meeting 2013","conferenceDate":"2013-12-01T00:00:00","conferenceLocation":"San Francisco, CA","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","usgsCitation":"Moschetti, M.P., Mueller, C.S., Boyd, O.S., and Petersen, M.D., 2014, Comparison of smoothing methods for the development of a smoothed seismicity model for Alaska and the implications for seismic hazard.","ipdsId":"IP-055149","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":289435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.4,51.2 ], [ 172.4,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.4,51.2 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b0cfe4b0388651d91682","contributors":{"authors":[{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":491137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mueller, Charles S. 0000-0002-1868-9710 cmueller@usgs.gov","orcid":"https://orcid.org/0000-0002-1868-9710","contributorId":955,"corporation":false,"usgs":true,"family":"Mueller","given":"Charles","email":"cmueller@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":491134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyd, Oliver S. olboyd@usgs.gov","contributorId":956,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":491135,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":491136,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70096318,"text":"70096318 - 2014 - Gnathostoma spinigerum in live Asian swamp eels (Monopterus spp.) from food markets and wild populations, United States","interactions":[],"lastModifiedDate":"2018-01-24T10:40:50","indexId":"70096318","displayToPublicDate":"2014-03-14T08:17:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1493,"text":"Emerging Infectious Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Gnathostoma spinigerum in live Asian swamp eels (Monopterus spp.) from food markets and wild populations, United States","docAbstract":"<p>In Southeast Asia, swamp eels (Synbranchidae: <i>Monopterus</i> spp.) are a common source of human gnathostomiasis, a foodborne zoonosis caused by advanced third-stage larvae (AL3) of <i>Gnathostoma</i> spp. nematodes. Live Asian swamp eels are imported to US ethnic food markets, and wild populations exist in several states. To determine whether these eels are infected, we examined 47 eels from markets and 67 wild-caught specimens. Nematodes were identified by morphologic features and ribosomal intergenic transcribed spacer&ndash;2 gene sequencing. Thirteen (27.7%) <i>M. cuchia</i> eels from markets were infected with 36 live <i>G. spinigerum</i> AL3: 21 (58.3%) in liver; 7 (19.4%) in muscle; 5 (13.8%) in gastrointestinal tract, and 3 (8.3%) in kidneys. Three (4.5%) wild-caught <i>M. albus</i> eels were infected with 5 <i>G. turgidum</i> AL3 in muscle, and 1 <i>G. lamothei</i> AL3 was found in a kidney (both North American spp.). Imported live eels are a potential source of human gnathostomiasis in the United States.</p>","language":"English","publisher":"Centers for Disease Control and Prevention","publisherLocation":"Atlanta, GA","doi":"10.3201/eid2004.131566","usgsCitation":"Cole, R.A., Choudhury, A., Nico, L.G., and Griffin, K.M., 2014, Gnathostoma spinigerum in live Asian swamp eels (Monopterus spp.) from food markets and wild populations, United States: Emerging Infectious Diseases, v. 20, no. 4, p. 634-642, https://doi.org/10.3201/eid2004.131566.","productDescription":"9 p.","startPage":"634","endPage":"642","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051889","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":473108,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3201/eid2004.131566","text":"Publisher Index Page"},{"id":283995,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283994,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3201/eid2004.131566"}],"volume":"20","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517043e4b05569d805a234","contributors":{"authors":[{"text":"Cole, Rebecca A. 0000-0003-2923-1622 rcole@usgs.gov","orcid":"https://orcid.org/0000-0003-2923-1622","contributorId":2873,"corporation":false,"usgs":true,"family":"Cole","given":"Rebecca","email":"rcole@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":491501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choudhury, Anindo 0000-0001-7553-4179","orcid":"https://orcid.org/0000-0001-7553-4179","contributorId":82268,"corporation":false,"usgs":false,"family":"Choudhury","given":"Anindo","affiliations":[],"preferred":false,"id":491504,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nico, Leo G. 0000-0002-4488-7737 lnico@usgs.gov","orcid":"https://orcid.org/0000-0002-4488-7737","contributorId":2913,"corporation":false,"usgs":true,"family":"Nico","given":"Leo","email":"lnico@usgs.gov","middleInitial":"G.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":491502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffin, Kathryn M. 0000-0003-1809-0019 kgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1809-0019","contributorId":5473,"corporation":false,"usgs":false,"family":"Griffin","given":"Kathryn","email":"kgriffin@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":491503,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}