{"pageNumber":"466","pageRowStart":"11625","pageSize":"25","recordCount":46645,"records":[{"id":70173448,"text":"70173448 - 2015 - Spatial and temporal variability in growth of southern flounder (<i>Paralichthys lethostigma</i>)","interactions":[],"lastModifiedDate":"2016-06-20T12:50:02","indexId":"70173448","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal variability in growth of southern flounder (<i>Paralichthys lethostigma</i>)","docAbstract":"<p><span>Delineation of stock structure is important for understanding the ecology and management of many fish populations, particularly those with wide-ranging distributions and high levels of harvest. Southern flounder (</span><i>Paralichthys lethostigma</i><span>) is a popular commercial and recreational species along the southeast Atlantic coast and Gulf of Mexico, USA. Recent studies have provided genetic and otolith morphology evidence that the Gulf of Mexico and Atlantic Ocean stocks differ. Using age and growth data from four states (Texas, Alabama, South Carolina, and North Carolina) we expanded upon the traditional von Bertalanffy model in order to compare growth rates of putative geographic stocks of southern flounder. We improved the model fitting process by adding a hierarchical Bayesian framework to allow each parameter to vary spatially or temporally as a random effect, as well as log transforming the three model parameters (</span><i>L</i><sub>&infin;</sub><span>,&nbsp;</span><i>K</i><span>, and</span><i>t</i><sub>0</sub><span>). Multiple comparisons of parameters showed that growth rates varied (even within states) for females, but less for males. Growth rates were also consistent through time, when long-term data were available. Since within-basin populations are thought to be genetically well-mixed, our results suggest that consistent small-scale environmental conditions (i.e., within estuaries) likely drive growth rates and should be considered when developing broader scale management plans.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2015.03.009","usgsCitation":"Midway, S.R., Wagner, T., Arnott, S.A., Biondo, P., Martinez-Andrade, F., and Wadsworth, T.F., 2015, Spatial and temporal variability in growth of southern flounder (<i>Paralichthys lethostigma</i>): Fisheries Research, v. 167, p. 323-332, https://doi.org/10.1016/j.fishres.2015.03.009.","productDescription":"10 p.","startPage":"323","endPage":"332","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057170","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"167","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576913e7e4b07657d19ff26e","contributors":{"authors":[{"text":"Midway, Stephen R.","contributorId":172159,"corporation":false,"usgs":false,"family":"Midway","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":639801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arnott, Stephen A.","contributorId":172168,"corporation":false,"usgs":false,"family":"Arnott","given":"Stephen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":639802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biondo, Patrick","contributorId":172169,"corporation":false,"usgs":false,"family":"Biondo","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":639803,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martinez-Andrade, Fernando","contributorId":172170,"corporation":false,"usgs":false,"family":"Martinez-Andrade","given":"Fernando","email":"","affiliations":[],"preferred":false,"id":639804,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wadsworth, Thomas F.","contributorId":172171,"corporation":false,"usgs":false,"family":"Wadsworth","given":"Thomas","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":639805,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70176119,"text":"70176119 - 2015 - Exposure and food web transfer of pharmaceuticals in ospreys (Pandion haliaetus): Predictive model and empirical data","interactions":[],"lastModifiedDate":"2018-09-04T15:59:22","indexId":"70176119","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Exposure and food web transfer of pharmaceuticals in ospreys (Pandion haliaetus): Predictive model and empirical data","docAbstract":"<p><span>The osprey (</span><i>Pandion haliaetus</i><span>) is a well-known sentinel of environmental contamination, yet no studies have traced pharmaceuticals through the water&ndash;fish&ndash;osprey food web. A screening-level exposure assessment was used to evaluate the bioaccumulation potential of 113 pharmaceuticals and metabolites, and an artificial sweetener in this food web. Hypothetical concentrations in water reflecting &ldquo;wastewater effluent dominated&rdquo; or &ldquo;dilution dominated&rdquo; scenarios were combined with pH-specific bioconcentration factors (BCFs) to predict uptake in fish. Residues in fish and osprey food intake rate were used to calculate the daily intake (DI) of compounds by an adult female osprey. Fourteen pharmaceuticals and a drug metabolite with a BCF greater than 100 and a DI greater than 20&thinsp;&micro;g/kg were identified as being most likely to exceed the adult human therapeutic dose (HTD). These 15 compounds were also evaluated in a 40 day cumulative dose exposure scenario using first-order kinetics to account for uptake and elimination. Assuming comparable absorption to humans, the half-lives (t</span><span>1/2</span><span>) for an adult osprey to reach the HTD within 40 days were calculated. For 3 of these pharmaceuticals, the estimated t</span><span>1/2</span><span>&nbsp;in ospreys was less than that for humans, and thus an osprey might theoretically reach or exceed the HTD in 3 to 7 days. To complement the exposure model, 24 compounds were quantified in water, fish plasma, and osprey nestling plasma from 7 potentially impaired locations in Chesapeake Bay. Of the 18 analytes detected in water, 8 were found in fish plasma, but only 1 in osprey plasma (the antihypertensive diltiazem). Compared to diltiazem detection rate and concentrations in water (10/12 detects, &lt;method detection limits [MDL]&ndash;173&thinsp;ng/L), there was a lower detection frequency in fish (31/233 detects, &lt;MDL&ndash;2400&thinsp;ng/L); however when present in fish, all values exceeded the maximum diltiazem concentration found in water. Diltiazem was found in all 69 osprey plasma samples (540&ndash;8630&thinsp;ng/L), with 41% of these samples exceeding maximum concentrations found in fish. Diltiazem levels in fish and osprey plasma were below the human therapeutic plasma concentration (30&thinsp;000&thinsp;ng/L). Effect thresholds for diltiazem are unknown in ospreys at this time, and there is no evidence to suggest adverse effects. This screening-level exposure model can help identify those compounds that warrant further investigation in high-trophic level species.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ieam.1570","usgsCitation":"Lazarus, R.S., Rattner, B.A., Du, B., McGowan, P.C., Blazer, V., and Ottinger, M.A., 2015, Exposure and food web transfer of pharmaceuticals in ospreys (Pandion haliaetus): Predictive model and empirical data: Integrated Environmental Assessment and Management, v. 11, no. 1, p. 118-129, https://doi.org/10.1002/ieam.1570.","productDescription":"12 p.","startPage":"118","endPage":"129","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057952","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":327898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-08-01","publicationStatus":"PW","scienceBaseUri":"57c16836e4b0f2f0ceb907db","contributors":{"authors":[{"text":"Lazarus, Rebecca S. 0000-0003-1731-6469 rlazarus@usgs.gov","orcid":"https://orcid.org/0000-0003-1731-6469","contributorId":5594,"corporation":false,"usgs":true,"family":"Lazarus","given":"Rebecca","email":"rlazarus@usgs.gov","middleInitial":"S.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":647180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":647181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Du, Bowen","contributorId":149285,"corporation":false,"usgs":false,"family":"Du","given":"Bowen","email":"","affiliations":[{"id":16605,"text":"Department of Environmental Science and the Center for Reservoir and Aquatic Systems Research (CRASR), Baylor University, Waco, TX","active":true,"usgs":false}],"preferred":false,"id":647182,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGowan, Peter C.","contributorId":13867,"corporation":false,"usgs":false,"family":"McGowan","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":647183,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":647184,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ottinger, Mary Ann","contributorId":26422,"corporation":false,"usgs":false,"family":"Ottinger","given":"Mary","email":"","middleInitial":"Ann","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":647185,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70148422,"text":"sir20155077 - 2015 - Flood Map for the Winooski River in Waterbury, Vermont, 2014","interactions":[],"lastModifiedDate":"2015-07-01T10:40:01","indexId":"sir20155077","displayToPublicDate":"2015-06-30T16:15:00","publicationYear":"2015","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":"2015-5077","title":"Flood Map for the Winooski River in Waterbury, Vermont, 2014","docAbstract":"<p>From August 28 to 29, 2011, Tropical Storm Irene delivered rainfall ranging from approximately 4 to more than 7 inches in the Winooski River Basin in Vermont. The rainfall resulted in severe flooding throughout the basin and significant damage along the Winooski River. In response to the flooding, the U.S. Geological Survey (USGS), in cooperation with the Federal Emergency Management Agency, conducted a new flood study to aid in flood recovery and restoration and to assist in flood forecasting. The study resulted in two sets of flood maps that depict the flooding for an 8.3-mile reach of the Winooski River from about 1,000 feet downstream of the Waterbury-Bolton, Vermont, town line upstream to about 2,000 feet upstream of the Waterbury-Middlesex, Vt., town line.</p>\n<p>The first set of maps consists of flood-recovery maps depicting the boundaries of floodwaters at the 10-, 4-, 2-, 1-, and 0.2-percent annual exceedance probability (AEP) discharges, the boundaries of the floodway, and the boundaries of floodwaters from Tropical Storm Irene as estimated by a hydraulic model. The second set of maps consists of flood-inundation maps depicting the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS Winooski River above Crossett Bk at Waterbury, VT (04288040) streamgage. The maps correspond to streamgage water levels ranging from 417.0 to 431.0 feet in 2-foot increments. The availability of these flood-inundation maps along with current stage from the USGS streamgage obtained from a USGS Web site will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts. These flood inundation maps can be accessed through the USGS Flood Inundation Mapping Science Web site (<a href=\"http://water.usgs.gov/osw/flood_inundation/\">http://water.usgs.gov/osw/flood_inundation/</a>).</p>\n<p>To generate the maps, flood profiles for the Winooski River were developed. The U.S. Army Corps of Engineers one-dimensional step-backwater Hydrologic Engineering Center River Analysis System model (HEC&ndash;RAS), was used to compute the water-surface profiles along the study reach. The simulated water-surface profiles were then combined with a geographic information system digital elevation model derived from light detection and ranging (lidar) data with a vertical accuracy that meets or exceeds vertical national map accuracy standards for 2-foot contour mapping to delineate the area flooded for each water-surface profile.</p>\n<p>High-water marks from Tropical Storm Irene were available for seven locations along the study reach. The highwater marks were used to estimate water-surface profiles and discharges resulting from Tropical Storm Irene throughout the study reach. From a comparison of the estimated water-surface profile for Tropical Storm Irene with the water-surface profiles for the 1- and 0.2-percent annual exceedance probability (AEP) floods, it was determined that the high-water elevations resulting from Tropical Storm Irene exceeded the estimated 1-percent AEP flood throughout the Winooski River study reach but did not exceed the estimated 0.2-percent AEP flood at any location within the study reach.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155077","collaboration":"Federal Emergency Management Agency","usgsCitation":"Olson, S.A., 2015, Flood Map for the Winooski River in Waterbury, Vermont, 2014: U.S. Geological Survey Scientific Investigations Report 2015-5077, Report: vi, 25 p.; Readme; Appendix; Metadata, https://doi.org/10.3133/sir20155077.","productDescription":"Report: vi, 25 p.; Readme; Appendix; Metadata","numberOfPages":"31","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061798","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":305492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155077.jpg"},{"id":305487,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5077/pdf/sir20155077.pdf","text":"Report","size":"5.48 MB","description":"Report"},{"id":305490,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2015/5077/attachments/metadata_floodinundationmap.zip","text":"Metadata for flood inundation map","size":"123 KB","description":"Metadata for flood inundation map","linkHelpText":"Metadata for flood inundation map"},{"id":305488,"rank":3,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sir/2015/5077/attachments/readme.txt","text":"Read me","size":"1 KB","description":"Read Me"},{"id":305489,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5077/attachments/sir2015-5077_appendix1.zip","text":"Map file and dataset","size":"715 MB","description":"Map file and dataset","linkHelpText":"Contains the published map file and the map dataset."},{"id":305491,"rank":6,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2015/5077/attachments/metadata_floodrecoverymap.zip","text":"Metadata for flood recovery map","size":"132 KB","description":"Metadata for flood recovery map","linkHelpText":"Metadata for flood recovery map"},{"id":305486,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5077/"}],"country":"United States","state":"Vermont","city":"Waterbury","otherGeospatial":"Winooski River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.75833129882812,\n              44.319672489734806\n            ],\n            [\n              -72.75833129882812,\n              44.334408514149914\n            ],\n            [\n              -72.73258209228516,\n              44.334408514149914\n            ],\n            [\n              -72.73258209228516,\n              44.319672489734806\n            ],\n            [\n              -72.75833129882812,\n              44.319672489734806\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publicComments":"Prepared in cooperation with the Federal Emergency Management Agency","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5593afa9e4b0b6d21dd68220","contributors":{"authors":[{"text":"Olson, Scott A. 0000-0002-1064-2125 solson@usgs.gov","orcid":"https://orcid.org/0000-0002-1064-2125","contributorId":2059,"corporation":false,"usgs":true,"family":"Olson","given":"Scott","email":"solson@usgs.gov","middleInitial":"A.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548153,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70155517,"text":"70155517 - 2015 - Integrating multiple distribution models to guide conservation efforts of an endangered toad","interactions":[],"lastModifiedDate":"2015-08-10T11:35:56","indexId":"70155517","displayToPublicDate":"2015-06-30T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Integrating multiple distribution models to guide conservation efforts of an endangered toad","docAbstract":"<p><span>Species distribution models are used for numerous purposes such as predicting changes in species&rsquo; ranges and identifying biodiversity hotspots. Although implications of distribution models for conservation are often implicit, few studies use these tools explicitly to inform conservation efforts. Herein, we illustrate how multiple distribution models developed using distinct sets of environmental variables can be integrated to aid in identification sites for use in conservation. We focus on the endangered arroyo toad (</span><i>Anaxyrus californicus</i><span>), which relies on open, sandy streams and surrounding floodplains in southern California, USA, and northern Baja California, Mexico. Declines of the species are largely attributed to habitat degradation associated with vegetation encroachment, invasive predators, and altered hydrologic regimes. We had three main goals: 1) develop a model of potential habitat for arroyo toads, based on long-term environmental variables and all available locality data; 2) develop a model of the species&rsquo; current habitat by incorporating recent remotely-sensed variables and only using recent locality data; and 3) integrate results of both models to identify sites that may be employed in conservation efforts. We used a machine learning technique, Random Forests, to develop the models, focused on riparian zones in southern California. We identified 14.37% and 10.50% of our study area as potential and current habitat for the arroyo toad, respectively. Generally, inclusion of remotely-sensed variables reduced modeled suitability of sites, thus many areas modeled as potential habitat were not modeled as current habitat. We propose such sites could be made suitable for arroyo toads through active management, increasing current habitat by up to 67.02%. Our general approach can be employed to guide conservation efforts of virtually any species with sufficient data necessary to develop appropriate distribution models.</span></p>","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0131628","usgsCitation":"Treglia, M.L., Fisher, R.N., and Fitzgerald, L., 2015, Integrating multiple distribution models to guide conservation efforts of an endangered toad: PLoS ONE, v. 10, no. 6, p. 1-18, https://doi.org/10.1371/journal.pone.0131628.","productDescription":"18 p.","startPage":"1","endPage":"18","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064868","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":471988,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0131628","text":"Publisher Index Page"},{"id":306534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.49304199218749,\n              33.99347299511967\n            ],\n            [\n              -118.01513671875,\n              34.50655662164561\n            ],\n            [\n              -116.98242187499999,\n              34.610605760914666\n            ],\n            [\n              -116.26831054687501,\n              34.49750272138159\n            ],\n            [\n              -115.94970703125,\n              34.20271636159618\n            ],\n            [\n              -115.9332275390625,\n              33.73804486328909\n            ],\n            [\n              -115.81787109375,\n              33.44060944370356\n            ],\n            [\n              -115.62561035156249,\n              33.30757713015298\n            ],\n            [\n              -115.51574707031249,\n              33.06852769197118\n            ],\n            [\n              -115.34545898437499,\n              32.68099643258195\n            ],\n            [\n              -117.15270996093749,\n              32.54681317351514\n            ],\n            [\n              -117.158203125,\n              32.62549671451373\n            ],\n            [\n              -117.29553222656249,\n              32.694865977875075\n            ],\n            [\n              -117.31201171875001,\n              32.838058359277056\n            ],\n            [\n              -117.31201171875001,\n              32.98102014898148\n            ],\n            [\n              -117.49877929687499,\n              33.27084277265288\n            ],\n            [\n              -117.7569580078125,\n              33.458942753687644\n            ],\n            [\n              -118.15246582031249,\n              33.706062655101206\n            ],\n            [\n              -118.333740234375,\n              33.67406853374198\n            ],\n            [\n              -118.48205566406251,\n              33.747180448149855\n            ],\n            [\n              -118.4600830078125,\n              33.8247936182649\n            ],\n            [\n              -118.49304199218749,\n              33.99347299511967\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-30","publicationStatus":"PW","scienceBaseUri":"55c9cb34e4b08400b1fdb713","contributors":{"authors":[{"text":"Treglia, Michael L.","contributorId":145921,"corporation":false,"usgs":false,"family":"Treglia","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":16299,"text":"Dep't Wildlife and Fisheries, Texas A&M U, College Station, Texas","active":true,"usgs":false}],"preferred":false,"id":565660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":565659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fitzgerald, Lee A.","contributorId":145922,"corporation":false,"usgs":false,"family":"Fitzgerald","given":"Lee A.","affiliations":[{"id":16300,"text":"Dep't of Wildlife and Fisheries, Texas A&M U, College Station, Texas","active":true,"usgs":false}],"preferred":false,"id":565661,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70148366,"text":"fs20153043 - 2015 - Sediment conditions in the San Antonio River Basin downstream from San Antonio, Texas, 2000-13","interactions":[],"lastModifiedDate":"2016-08-05T11:59:58","indexId":"fs20153043","displayToPublicDate":"2015-06-30T02:00:00","publicationYear":"2015","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":"2015-3043","title":"Sediment conditions in the San Antonio River Basin downstream from San Antonio, Texas, 2000-13","docAbstract":"<p>Sediment plays an important role in the ecological health of rivers and estuaries and consequently is an important issue for water-resource managers. 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Sheets 1, 2, and 3 combine data from four different sonar surveys to generate comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic features (highlighted in the perspective views on sheet 4) such as the flat, sediment-covered seafloor in Drakes Bay, as well as abundant &ldquo;scour depressions&rdquo; on the Bodega Head&ndash;Tomales Point shelf (see sheet 9) and local, tectonically controlled bedrock uplifts. To validate geological and biological interpretations of the sonar data shown in sheets 1, 2, and 3, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these &ldquo;ground-truth&rdquo; surveying data are summarized on sheet 6. Sheet 5 is a &ldquo;seafloor character&rdquo; map, which classifies the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. Sheet 7 is a map of &ldquo;potential habitats,&rdquo; which are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Sheet 8 compiles representative seismic-reflection profiles from the map area, providing information on the subsurface stratigraphy and structure of the map area. Sheet 9 shows the distribution and thickness of young sediment (deposited over the last about 21,000 years, during the most recent sea-level rise) in both the map area and the larger Salt Point to Drakes Bay region, interpreted on the basis of the seismic-reflection data, and it identifies the Offshore of Point Reyes map area as lying within the Bodega Head&ndash;Tomales Point shelf, Point Reyes bar, and Bolinas shelf domains. Sheet 10 is a geologic map that merges onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery (sheets 1, 2, 3), seafloor-sediment and rock samples (Reid and others, 2006), digital camera and video imagery (sheet 6), and high-resolution seismic-reflection profiles (sheet 8), as well as aerial-photographic interpretation of nearshore areas. The information provided by the map sheets, pamphlet, and data catalog have a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151114","usgsCitation":"Watt, J., Dartnell, P., Golden, N., Greene, H., Erdey, M.D., Cochrane, G.R., Johnson, S.Y., Hartwell, S., Kvitek, R.G., Manson, M., Endris, C.A., Dieter, B.E., Sliter, R.W., Krigsman, L., Lowe, E., and Chinn, J.L., 2015, California State Waters Map Series — Offshore of Point Reyes, California: U.S. Geological Survey Open-File Report 2015-1114, Pamphlet: iv, 39 p.; 10 Sheets: 52 x 36 inches or smaller ; Metadata; Data Catalog, https://doi.org/10.3133/ofr20151114.","productDescription":"Pamphlet: iv, 39 p.; 10 Sheets: 52 x 36 inches or smaller ; Metadata; Data Catalog","numberOfPages":"43","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-055336","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":305464,"rank":10,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2015/1114/pdf/ofr20151114_sheet8.pdf","text":"Sheet 8","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 8","linkHelpText":"Seismic-Reflection Profiles, Offshore of Point Reyes Map Area, California By Janet T. Watt, Samuel Y. Johnson, John L. Chin, and Ray W. Sliter"},{"id":305458,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2015/1114/pdf/ofr20151114_sheet2.pdf","text":"Sheet 2","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 2","linkHelpText":"Shaded-Relief Bathymetry, Offshore of Point Reyes Map Area, California By Peter Dartnell and Rikk G. Kvitek"},{"id":305457,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2015/1114/pdf/ofr20151114_sheet1.pdf","text":"Sheet 1","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 1","linkHelpText":"Colored Shaded-Relief Bathymetry, Offshore of Point Reyes Map Area, California By Peter Dartnell and Rikk G. 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Kvitek"},{"id":305456,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1114/pdf/ofr20151114_pamphlet.pdf","text":"Pamphlet","linkFileType":{"id":1,"text":"pdf"},"description":"Pamphlet"},{"id":305455,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1114/"},{"id":305467,"rank":13,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2015/1114/ofr20151114_metadata.html"},{"id":305468,"rank":14,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/781/OffshorePointReyes/data_catalog_OffshorePointReyes.html","text":"Data Catalog-Offshore of Point Reyes, California","description":"Data Catalog-Offshore of Point Reyes, California","linkHelpText":"Each GIS data file is listed with a brief description, a small image, and links to the metadata files and the downloadable data files."},{"id":305460,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2015/1114/pdf/ofr20151114_sheet4.pdf","text":"Sheet 4","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 4","linkHelpText":"Data Integration and Visualization, Offshore of Point Reyes Map Area, California By Peter Dartnell"},{"id":305461,"rank":7,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2015/1114/pdf/ofr20151114_sheet5.pdf","text":"Sheet 5","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 5","linkHelpText":"Seafloor Character, Offshore of Point Reyes Map Area, California By Mercedes D. 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,{"id":70148010,"text":"ofr20151093 - 2015 - Assessment of interim flow water-quality data of the San Joaquin River restoration program and implications for fishes, California, 2009-11","interactions":[],"lastModifiedDate":"2015-06-29T13:48:16","indexId":"ofr20151093","displayToPublicDate":"2015-06-29T14:45:00","publicationYear":"2015","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":"2015-1093","title":"Assessment of interim flow water-quality data of the San Joaquin River restoration program and implications for fishes, California, 2009-11","docAbstract":"<p>After more than 50 years of extensive water diversion for urban and agriculture use, a major settlement was reached among the U.S. Departments of the Interior and Commerce, the Natural Resources Defense Council, and the Friant Water Users Authority in an effort to restore the San Joaquin River. The settlement received Federal court approval in October 2006 and established the San Joaquin River Restoration Program, a multi-agency collaboration between State and Federal agencies to restore and maintain fish populations, including Chinook salmon, in the main stem of the river between Friant Dam and the confluence with the Merced River. This is to be done while avoiding or minimizing adverse water supply effects to all of the Friant Division contractors that could result from restoration flows required by the settlement. The settlement stipulates that water- and sediment-quality data be collected to help assess the restoration goals. This report summarizes and evaluates water-quality data collected in the main stem of the San Joaquin River between Friant Dam and the Merced River by the U.S. Bureau of Reclamation for the San Joaquin River Restoration Program during 2009-11. This summary and assessment consider sampling frequency for adequate characterization of variability, sampling locations for sufficient characterization of the San Joaquin River Restoration Program restoration reach, sampling methods for appropriate media (water and sediment), and constituent reporting limits. After reviewing the water- and sediment-quality results for the San Joaquin River Restoration Program, several suggestions were made to the Fisheries Management Work Group, a division of the San Joaquin River Restoration Program that focuses solely on the reintroduction strategies and health of salmon and other native fishes in the river. Water-quality results for lead and total organic carbon exceeded the Surface Water Ambient Monitoring Program Basin Plan Objectives for the San Joaquin Basin, and results for copper exceeded the U.S. Environmental Protection Agency Office of Pesticide Programs' aquatic-life chronic and acute benchmarks for invertebrates. One sediment sample contained detections of pyrethroid pesticides bifenthrin, lambda-cyhalothrin, and total permethrin at concentrations above published chronic toxicity thresholds.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151093","usgsCitation":"Wulff, M.L., and Brown, L.R., 2015, Assessment of interim flow water-quality data of the San Joaquin River restoration program and implications for fishes, California, 2009-11: U.S. Geological Survey Open-File Report 2015-1093, Report: iii, 25; 2 Appendices, https://doi.org/10.3133/ofr20151093.","productDescription":"Report: iii, 25; 2 Appendices","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-036179","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":305439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151093.jpg"},{"id":305420,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1093/"},{"id":305421,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1093/pdf/ofr2015-1093.pdf","text":"Report","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1093 Report"},{"id":305422,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1093/downloads/ofr2015-1093_appendix_a.xlsx","text":"Appendix A","size":"658 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2015-1093 Appendix A"},{"id":305423,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1093/downloads/ofr2015-1093_appendix_c.xlsx","text":"Appendix C","size":"116 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2015-1093 Appendix C"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.62850952148436,\n              37.45142216912853\n            ],\n            [\n              -120.62850952148436,\n              37.47976234695507\n            ],\n            [\n              -120.47470092773436,\n              37.47976234695507\n            ],\n            [\n              -120.47470092773436,\n              37.45142216912853\n            ],\n            [\n              -120.62850952148436,\n              37.45142216912853\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55925e30e4b0b6d21dd67619","contributors":{"authors":[{"text":"Wulff, Marissa L. 0000-0003-0121-9066 mwulff@usgs.gov","orcid":"https://orcid.org/0000-0003-0121-9066","contributorId":1719,"corporation":false,"usgs":true,"family":"Wulff","given":"Marissa","email":"mwulff@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":546785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":563900,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70155864,"text":"70155864 - 2015 - Ocean circulation and biogeochemistry moderate interannual and decadal surface water pH changes in the Sargasso Sea","interactions":[],"lastModifiedDate":"2015-08-17T09:58:34","indexId":"70155864","displayToPublicDate":"2015-06-28T11:00:00","publicationYear":"2015","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 circulation and biogeochemistry moderate interannual and decadal surface water pH changes in the Sargasso Sea","docAbstract":"<p>The oceans absorb anthropogenic CO<sub>2</sub> from the atmosphere, lowering surface ocean pH, a concern for calcifying marine organisms. The impact of ocean acidification is challenging to predict as each species appears to respond differently and because our knowledge of natural changes to ocean pH is limited in both time and space. Here we reconstruct 222 years of biennial seawater pH variability in the Sargasso Sea from a brain coral, <i>Diploria labyrinthiformis</i>. Using hydrographic data from the Bermuda Atlantic Time-series Study and the coral-derived pH record, we are able to differentiate pH changes due to surface temperature versus those from ocean circulation and biogeochemical changes. We find that ocean pH does not simply reflect atmospheric CO<sub>2</sub> trends but rather that circulation/biogeochemical changes account for &gt;90% of pH variability in the Sargasso Sea and more variability in the last century than would be predicted from anthropogenic uptake of CO<sub>2</sub> alone.</p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2015GL064431","collaboration":"Asian School of the Environment, Nanyang Technological Unicersity, Singapore\nEarth Observatory of Singapore, Singapore\nNational Cheung Kung University, Tainan, Taiwan\nWoods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA\nBermuda Institute of Ocean Sciences, St. George’s, Bermuda\nAcademia Sinica, Taipei, Taiwan","usgsCitation":"Goodkin, N.F., Wang, B., You, C., Hughen, K., Prouty, N.G., Bates, N., and Doney, S., 2015, Ocean circulation and biogeochemistry moderate interannual and decadal surface water pH changes in the Sargasso Sea: Geophysical Research Letters, v. 42, no. 12, p. 4931-4939, https://doi.org/10.1002/2015GL064431.","productDescription":"9 p.","startPage":"4931","endPage":"4939","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064178","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471989,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl064431","text":"Publisher Index Page"},{"id":306776,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-25","publicationStatus":"PW","scienceBaseUri":"55d305b8e4b0518e35468d13","contributors":{"authors":[{"text":"Goodkin, Nathalie F.","contributorId":146214,"corporation":false,"usgs":false,"family":"Goodkin","given":"Nathalie","email":"","middleInitial":"F.","affiliations":[{"id":16631,"text":"Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":566627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Bo-Shian","contributorId":146215,"corporation":false,"usgs":false,"family":"Wang","given":"Bo-Shian","email":"","affiliations":[{"id":16632,"text":"National Cheung Kung University","active":true,"usgs":false}],"preferred":false,"id":566628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"You, Chen-Feng","contributorId":146216,"corporation":false,"usgs":false,"family":"You","given":"Chen-Feng","email":"","affiliations":[{"id":16632,"text":"National Cheung Kung University","active":true,"usgs":false}],"preferred":false,"id":566629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hughen, Konrad","contributorId":146217,"corporation":false,"usgs":false,"family":"Hughen","given":"Konrad","email":"","affiliations":[{"id":16633,"text":"WHOI","active":true,"usgs":false}],"preferred":false,"id":566630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":566626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bates, Nicholas","contributorId":146218,"corporation":false,"usgs":false,"family":"Bates","given":"Nicholas","email":"","affiliations":[{"id":16634,"text":"Bermuda Institute of Ocean Sciences","active":true,"usgs":false}],"preferred":false,"id":566631,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Doney, Scott","contributorId":146219,"corporation":false,"usgs":false,"family":"Doney","given":"Scott","email":"","affiliations":[{"id":16633,"text":"WHOI","active":true,"usgs":false}],"preferred":false,"id":566632,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70188820,"text":"70188820 - 2015 - Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Inmachuk, Kugruk, Kiwalik, and Koyuk River drainages, Granite Mountain, and the northern Darby Mountains, Bendeleben, Candle, Kotzebue, and Solomon quadrangles, Alaska","interactions":[],"lastModifiedDate":"2017-06-27T13:33:22","indexId":"70188820","displayToPublicDate":"2015-06-27T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Inmachuk, Kugruk, Kiwalik, and Koyuk River drainages, Granite Mountain, and the northern Darby Mountains, Bendeleben, Candle, Kotzebue, and Solomon quadrangles, Alaska","docAbstract":"<p>The State of Alaska’s Strategic and Critical Minerals (SCM) Assessment project, a State-funded Capital Improvement Project (CIP), is designed to evaluate Alaska’s statewide potential for SCM resources. The SCM Assessment is being implemented by the Alaska Division of Geological &amp; Geophysical Surveys (DGGS), and involves obtaining new airborne-geophysical, geological, and geochemical data. As part of the SCM Assessment, thousands of historical geochemical samples from DGGS, U.S. Geological Survey (USGS), and U.S. Bureau of Mines archives are being reanalyzed by DGGS using modern, quantitative, geochemical-analytical methods. The objective is to update the statewide geochemical database to more clearly identify areas in Alaska with SCM potential. </p><p>The USGS is also undertaking SCM-related geologic studies in Alaska through the federally funded Alaska Critical Minerals cooperative project. DGGS and USGS share the goal of evaluating Alaska’s strategic and critical minerals potential and together created a Letter of Agreement (signed December 2012) and a supplementary Technical Assistance Agreement (#14CMTAA143458) to facilitate the two agencies’ cooperative work. Under these agreements, DGGS contracted the USGS in Denver to reanalyze historical USGS sediment samples from Alaska.</p><p> For this report, DGGS funded reanalysis of 653 historical USGS sediment samples from the statewide Alaska Geochemical Database Version 2.0 (AGDB2; Granitto and others, 2013). Samples were chosen from an area covering portions of the Inmachuk, Kugruk, Kiwalik, and Koyuk river drainages, Granite Mountain, and the northern Darby Mountains, located in the Bendeleben, Candle, Kotzebue, and Solomon quadrangles of eastern Seward Peninsula, Alaska (fig. 1). The USGS was responsible for sample retrieval from the National Geochemical Sample Archive (NGSA) in Denver, Colorado through the final quality assurance/quality control (QA/QC) of the geochemical analyses obtained through the USGS contract lab. The new geochemical data are published in this report as a coauthored DGGS report, and will be incorporated into the statewide geochemical databases of both agencies.</p>","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys","doi":"10.14509/29448","collaboration":"Alaska Division of Geological & Geophysical Surveys; Melanie B. Werdon, lead author","usgsCitation":"Werdon, M.B., Granitto, M., and Azain, J.S., 2015, Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Inmachuk, Kugruk, Kiwalik, and Koyuk River drainages, Granite Mountain, and the northern Darby Mountains, Bendeleben, Candle, Kotzebue, and Solomon quadrangles, Alaska, 5 p. , https://doi.org/10.14509/29448.","productDescription":"5 p. 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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536eaae4b062508e3c7a89","contributors":{"authors":[{"text":"Werdon, Melanie B.","contributorId":193448,"corporation":false,"usgs":false,"family":"Werdon","given":"Melanie","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":700493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":700492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Azain, Jaime S. 0000-0002-8256-7494 jsazain@usgs.gov","orcid":"https://orcid.org/0000-0002-8256-7494","contributorId":5963,"corporation":false,"usgs":true,"family":"Azain","given":"Jaime","email":"jsazain@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":700494,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70148568,"text":"sir20155085 - 2015 - Hydrologic influences on water-level changes in the Eastern Snake River Plain aquifer at and near the Idaho National Laboratory, Idaho, 1949-2014","interactions":[],"lastModifiedDate":"2015-06-26T16:01:27","indexId":"sir20155085","displayToPublicDate":"2015-06-26T16:45:00","publicationYear":"2015","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":"2015-5085","title":"Hydrologic influences on water-level changes in the Eastern Snake River Plain aquifer at and near the Idaho National Laboratory, Idaho, 1949-2014","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the U.S. Department of Energy, has maintained a water-level monitoring program at the Idaho National Laboratory (INL) since 1949 to systematically measure water levels to provide long-term information on groundwater recharge, discharge, movement, and storage in the eastern Snake River Plain (ESRP) aquifer. During 2014, water levels in the ESRP aquifer reached all-time lows for the period of record, prompting this study to assess the effect that future water-level declines may have on pumps and wells. Water-level data were compared with pump-setting depth to determine the hydraulic head above the current pump setting. Additionally, geophysical logs were examined to address changes in well productivity with water-level declines. Furthermore, hydrologic factors that affect water levels in different areas of the INL were evaluated to help understand why water-level changes occur.</p>\n<p>Review of pump intake placement and 2014 water-level data indicates that 40 wells completed within the ESRP aquifer at the INL have 20 feet (ft) or less of head above the pump. Nine of the these wells are located in the northeastern and northwestern areas of the INL where recharge is predominantly affected by irrigation, wet and dry cycles of precipitation, and flow in the Big Lost River. Water levels in northeastern and northwestern wells generally show water-level fluctuations of as much as 4.5 ft seasonally and show declines as much as 25 ft during the past 14 years.</p>\n<p>In the southeastern area of the INL, seven wells were identified as having less than 20 ft of water remaining above the pump. Most of the wells in the southeast show less decline over the period of record compared with wells in the northeast; the smaller declines are probably attributable to less groundwater withdrawal from pumping of wells for irrigation. In addition, most of the southeastern wells show only about a 1&ndash;2 ft fluctuation seasonally because they are less influenced by groundwater withdrawals for irrigation.</p>\n<p>In the southwestern area of the INL, 24 wells were identified as having less than 20 ft of water remaining above the pump. Wells in the southwest also only show small 1&ndash;2 ft fluctuations seasonally because of a lack of irrigation influence. Wells show larger fluctuation in water levels closer to the Big Lost River and fluctuate in response to wet and dry cycles of recharge to the Big Lost River.</p>\n<p>Geophysical logs indicate that most of the wells evaluated will maintain their current production until the water level declines to the depth of the pump. A few of the wells may become less productive once the water level gets to within about 5 ft from the top of the pump. Wells most susceptible to future drought cycles are those in the northeastern and northwestern areas of the INL.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155085","collaboration":"U.S. Department of Energy","usgsCitation":"Bartholomay, R.C., and Twining, B.V., 2015, Hydrologic influences on water-level changes in the Eastern Snake River Plain aquifer at and near the Idaho National Laboratory, Idaho, 1949-2014: U.S. Geological Survey Scientific Investigations Report 2015-5085, Report: v, 37 p.; 1 Appendix, https://doi.org/10.3133/sir20155085.","productDescription":"Report: v, 37 p.; 1 Appendix","numberOfPages":"47","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-060008","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":303220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155085.jpg"},{"id":303174,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5085/"},{"id":303175,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5085/pdf/sir2015-5085.pdf","text":"Report","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":303176,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5085/pdf/sir2015-5085_appendixa.pdf","text":"Appendix A","size":"1.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix A"}],"country":"United States","state":"Idaho","otherGeospatial":"Eastern Snake River Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.32373046875,\n              43.08092540794885\n            ],\n            [\n              -114.32373046875,\n              43.97700467496408\n            ],\n            [\n              -111.97265625,\n              43.97700467496408\n            ],\n            [\n              -111.97265625,\n              43.08092540794885\n            ],\n            [\n              -114.32373046875,\n              43.08092540794885\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558e69abe4b0b6d21dd658fe","contributors":{"authors":[{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twining, Brian V. 0000-0003-1321-4721 btwining@usgs.gov","orcid":"https://orcid.org/0000-0003-1321-4721","contributorId":2387,"corporation":false,"usgs":true,"family":"Twining","given":"Brian","email":"btwining@usgs.gov","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548652,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70188821,"text":"70188821 - 2015 - Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Kougarok area, Bendeleben and Teller quadrangles, Seward Peninsula, Alaska","interactions":[],"lastModifiedDate":"2017-06-27T13:24:02","indexId":"70188821","displayToPublicDate":"2015-06-26T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Kougarok area, Bendeleben and Teller quadrangles, Seward Peninsula, Alaska","docAbstract":"<p>The State of Alaska’s Strategic and Critical Minerals (SCM) Assessment project, a State-funded Capital Improvement Project (CIP), is designed to evaluate Alaska’s statewide potential for SCM resources. The SCM Assessment is being implemented by the Alaska Division of Geological &amp; Geophysical Surveys (DGGS), and involves obtaining new airborne-geophysical, geological, and geochemical data. As part of the SCM Assessment, thousands of historical geochemical samples from DGGS, U.S. Geological Survey (USGS), and U.S. Bureau of Mines archives are being reanalyzed by DGGS using modern, quantitative, geochemical-analytical methods. The objective is to update the statewide geochemical database to more clearly identify areas in Alaska with SCM potential.</p><p> The USGS is also undertaking SCM-related geologic studies in Alaska through the federally funded Alaska Critical Minerals cooperative project. DGGS and USGS share the goal of evaluating Alaska’s strategic and critical minerals potential and together created a Letter of Agreement (signed December 2012) and a supplementary Technical Assistance Agreement (#14CMTAA143458) to facilitate the two agencies’ cooperative work. Under these agreements, DGGS contracted the USGS in Denver to reanalyze historical USGS sediment samples from Alaska.</p><p> For this report, DGGS funded reanalysis of 302 historical USGS sediment samples from the statewide Alaska Geochemical Database Version 2.0 (AGDB2; Granitto and others, 2013). Samples were chosen from the Kougarok River drainage as well as smaller adjacent drainages in the Bendeleben and Teller quadrangles, Seward Peninsula, Alaska (fig. 1). The USGS was responsible for sample retrieval from the National Geochemical Sample Archive (NGSA) in Denver, Colorado through the final quality assurance/quality control (QA/QC) of the geochemical analyses obtained through the USGS contract lab. The new geochemical data are published in this report as a coauthored DGGS report, and will be incorporated into the statewide geochemical databases of both agencies.</p>","largerWorkTitle":"Alaska Division of Geological & Geophysical Surveys","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys","doi":"10.14509/29450","collaboration":"Alaska Division of Geological & Geophysical Surveys; Melanie B. Werdon, lead author","usgsCitation":"Werdon, M.B., Granitto, M., and Azain, J.S., 2015, Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Kougarok area, Bendeleben and Teller quadrangles, Seward Peninsula, Alaska, Report: 5 p. , https://doi.org/10.14509/29450.","productDescription":"Report: 5 p. 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,{"id":70188822,"text":"70188822 - 2015 - Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Haines area, Juneau and Skagway quadrangles, southeast Alaska","interactions":[],"lastModifiedDate":"2017-06-27T13:20:08","indexId":"70188822","displayToPublicDate":"2015-06-25T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Haines area, Juneau and Skagway quadrangles, southeast Alaska","docAbstract":"<p>The State of Alaska’s Strategic and Critical Minerals (SCM) Assessment project, a State-funded Capital Improvement Project (CIP), is designed to evaluate Alaska’s statewide potential for SCM resources. The SCM Assessment is being implemented by the Alaska Division of Geological &amp; Geophysical Surveys (DGGS), and involves obtaining new airborne-geophysical, geological, and geochemical data. As part of the SCM Assessment, thousands of historical geochemical samples from DGGS, U.S. Geological Survey (USGS), and U.S. Bureau of Mines archives are being reanalyzed by DGGS using modern, quantitative, geochemical-analytical methods. The objective is to update the statewide geochemical database to more clearly identify areas in Alaska with SCM potential. </p><p>The USGS is also undertaking SCM-related geologic studies in Alaska through the federally funded Alaska Critical Minerals cooperative project. DGGS and USGS share the goal of evaluating Alaska’s strategic and critical minerals potential and together created a Letter of Agreement (signed December 2012) and a supplementary Technical Assistance Agreement (#14CMTAA143458) to facilitate the two agencies’ cooperative work. Under these agreements, DGGS contracted the USGS in Denver to reanalyze historical USGS sediment samples from Alaska.</p><p> For this report, DGGS funded reanalysis of 212 historical USGS sediment samples from the statewide Alaska Geochemical Database Version 2.0 (AGDB2; Granitto and others, 2013). Samples were chosen from the Chilkat, Klehini, Tsirku, and Takhin river drainages, as well as smaller drainages flowing into Chilkat and Chilkoot Inlets near Haines, Skagway Quadrangle, Southeast Alaska. Additionally some samples were also chosen from the Juneau gold belt, Juneau Quadrangle, Southeast Alaska (fig. 1). The USGS was responsible for sample retrieval from the National Geochemical Sample Archive (NGSA) in Denver, Colorado through the final quality assurance/quality control (QA/QC) of the geochemical analyses obtained through the USGS contract lab. The new geochemical data are published in this report as a coauthored DGGS report, and will be incorporated into the statewide geochemical databases of both agencies.</p>","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys","doi":"10.14509/29449","collaboration":"Alaska Division of Geological & Geophysical Surveys; Melanie B. Werdon, lead author","usgsCitation":"Werdon, M.B., Granitto, M., and Azain, J.S., 2015, Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Haines area, Juneau and Skagway quadrangles, southeast Alaska, Report: 5 p. , https://doi.org/10.14509/29449.","productDescription":"Report: 5 p. 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,{"id":70150362,"text":"70150362 - 2015 - Remote sensing change detection methods to track deforestation and growth in threatened rainforests in Madre de Dios, Peru","interactions":[],"lastModifiedDate":"2015-06-24T10:14:50","indexId":"70150362","displayToPublicDate":"2015-06-24T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2172,"text":"Journal of Applied Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing change detection methods to track deforestation and growth in threatened rainforests in Madre de Dios, Peru","docAbstract":"<p><span>Two forestry-change detection methods are described, compared, and contrasted for estimating deforestation and growth in threatened forests in southern Peru from 2000 to 2010. The methods used in this study rely on freely available data, including atmospherically corrected Landsat 5 Thematic Mapper and Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation continuous fields (VCF). The two methods include a conventional supervised signature extraction method and a unique self-calibrating method called MODIS VCF guided forest/nonforest (FNF) masking. The process chain for each of these methods includes a threshold classification of MODIS VCF, training data or signature extraction, signature evaluation, k-nearest neighbor classification, analyst-guided reclassification, and postclassification image differencing to generate forest change maps. Comparisons of all methods were based on an accuracy assessment using 500 validation pixels. Results of this accuracy assessment indicate that FNF masking had a 5% higher overall accuracy and was superior to conventional supervised classification when estimating forest change. Both methods succeeded in classifying persistently forested and nonforested areas, and both had limitations when classifying forest change.</span></p>","language":"English","publisher":"SPIE","doi":"10.1117/1.JRS.9.096040","usgsCitation":"Shermeyer, J.S., and Haack, B.N., 2015, Remote sensing change detection methods to track deforestation and growth in threatened rainforests in Madre de Dios, Peru: Journal of Applied Remote Sensing, v. 9, no. 1, e096040: 15 p., https://doi.org/10.1117/1.JRS.9.096040.","productDescription":"e096040: 15 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059192","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":302274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Peru","state":"Madre de Dios","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -68.8623046875,\n              -13.004557745339769\n            ],\n            [\n              -69.60937499999999,\n              -13.346865014577924\n            ],\n            [\n              -70.4443359375,\n              -13.090179355733726\n            ],\n            [\n              -70.83984375,\n              -13.068776734357694\n            ],\n            [\n              -71.12548828125,\n              -13.2399454992863\n            ],\n            [\n              -71.2353515625,\n              -12.940322128384627\n            ],\n            [\n              -71.630859375,\n              -12.661777510388525\n            ],\n            [\n              -71.78466796874999,\n              -12.790374787613588\n            ],\n            [\n              -72.1142578125,\n              -12.44730485070126\n            ],\n            [\n              -71.96044921875,\n              -12.275598890561733\n            ],\n            [\n              -72.158203125,\n              -12.08229583736359\n            ],\n            [\n              -72.421875,\n              -11.73830237143684\n            ],\n            [\n              -72.158203125,\n              -11.005904459659451\n            ],\n            [\n              -71.3671875,\n              -10.919617760254685\n            ],\n            [\n              -71.19140625,\n              -10.552621801948709\n            ],\n            [\n              -70.6201171875,\n              -10.033766870069249\n            ],\n            [\n              -70.6201171875,\n              -10.941191793456534\n            ],\n            [\n              -70.33447265624999,\n              -11.027472194117934\n            ],\n            [\n              -69.9169921875,\n              -10.919617760254685\n            ],\n            [\n              -69.5654296875,\n              -10.962764256386809\n            ],\n            [\n              -68.64257812499999,\n              -12.40438894466978\n            ],\n            [\n              -68.8623046875,\n              -13.004557745339769\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bc6b2e4b0b6d21dd6529a","contributors":{"authors":[{"text":"Shermeyer, Jacob S. 0000-0002-8143-2790 jshermeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8143-2790","contributorId":5825,"corporation":false,"usgs":true,"family":"Shermeyer","given":"Jacob","email":"jshermeyer@usgs.gov","middleInitial":"S.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":556736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haack, Barry N. bhaack@usgs.gov","contributorId":4261,"corporation":false,"usgs":true,"family":"Haack","given":"Barry","email":"bhaack@usgs.gov","middleInitial":"N.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":556737,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70150365,"text":"70150365 - 2015 - Improving estimates of tree mortality probability using potential growth rate","interactions":[],"lastModifiedDate":"2015-06-24T09:58:08","indexId":"70150365","displayToPublicDate":"2015-06-24T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1170,"text":"Canadian Journal of Forest Research","active":true,"publicationSubtype":{"id":10}},"title":"Improving estimates of tree mortality probability using potential growth rate","docAbstract":"<p><span>Tree growth rate is frequently used to estimate mortality probability. Yet, growth metrics can vary in form, and the justification for using one over another is rarely clear. We tested whether a growth index (GI) that scales the realized diameter growth rate against the potential diameter growth rate (PDGR) would give better estimates of mortality probability than other measures. We also tested whether PDGR, being a function of tree size, might better correlate with the baseline mortality probability than direct measurements of size such as diameter or basal area. Using a long-term dataset from the Sierra Nevada, California, U.S.A., as well as existing species-specific estimates of PDGR, we developed growth&ndash;mortality models for four common species. For three of the four species, models that included GI, PDGR, or a combination of GI and PDGR were substantially better than models without them. For the fourth species, the models including GI and PDGR performed roughly as well as a model that included only the diameter growth rate. Our results suggest that using PDGR can improve our ability to estimate tree survival probability. However, in the absence of PDGR estimates, the diameter growth rate was the best empirical predictor of mortality, in contrast to assumptions often made in the literature.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfr-2014-0368","usgsCitation":"Das, A., and Stephenson, N.L., 2015, Improving estimates of tree mortality probability using potential growth rate: Canadian Journal of Forest Research, v. 45, p. 920-928, https://doi.org/10.1139/cjfr-2014-0368.","productDescription":"9 p.","startPage":"920","endPage":"928","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059276","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":302273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada, Sequoia National Park, Yosemite National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.201416015625,\n              37.302460074782296\n            ],\n            [\n              -120.201416015625,\n              37.99183365313853\n            ],\n            [\n              -119.036865234375,\n              37.99183365313853\n            ],\n            [\n              -119.036865234375,\n              37.302460074782296\n            ],\n            [\n              -120.201416015625,\n              37.302460074782296\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.30603027343749,\n              35.22318504970181\n            ],\n            [\n              -119.30603027343749,\n              36.87522650673951\n            ],\n            [\n              -117.90527343750001,\n              36.87522650673951\n            ],\n            [\n              -117.90527343750001,\n              35.22318504970181\n            ],\n            [\n              -119.30603027343749,\n              35.22318504970181\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bc6b2e4b0b6d21dd65296","contributors":{"authors":[{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":556739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":556738,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70148503,"text":"sir20155082 - 2015 - Assessment of statewide annual streamflow in New Mexico, 1985-2013","interactions":[],"lastModifiedDate":"2015-06-24T09:28:08","indexId":"sir20155082","displayToPublicDate":"2015-06-24T10:00:00","publicationYear":"2015","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":"2015-5082","title":"Assessment of statewide annual streamflow in New Mexico, 1985-2013","docAbstract":"<p>In 2014, the New Mexico Water Resources Research Institute began a statewide assessment of the water resources of New Mexico. The U.S. Geological Survey, in cooperation with the New Mexico Water Resources Research Institute, addressed the streamflow component of the assessment by examining streamgage data for major river basins and streams in New Mexico for the study period over water years 1985&ndash;2013 (all references to years in this report are to water years).</p>\n<p>Overall, the total annual inflow to and outflow from New Mexico generally decreased over the study period. The highest annual flows for the Rio Grande occurred in 1985&ndash;87, and except at the Rio Grande below Elephant Butte Dam, N. Mex. (08361000), and Rio Grande at El Paso, Texas (08364000), streamgages, the lowest flows occurred in 2002&ndash;03. Reaches from the Colorado-New Mexico State line southward to Los Alamos, N. Mex. (reaches RG&ndash;1 through RG&ndash;4), were all gaining reaches. Based on mean annual streamflow during the study period, reaches from Los Alamos (reach RG&ndash;5) southward to El Paso (reach RG&ndash;9) were all losing reaches except for the Socorro, N. Mex., reach (reach RG&ndash;7). From 1985 to 1995, annual flows in the Red River generally were above the mean annual streamflow, but after 1995, annual flows were more frequently below the mean annual streamflow. The Rio Hondo, Rio Pueblo de Taos, and Jemez River followed similar annual trends as the Red River, but to a lesser extent, over the study period.</p>\n<p>Over the study period, annual flows in the Rio Chama generally increased downstream, and after 1995, the frequency of above average annual flows decreased, and below average flows became more frequent. The Rio Chama reaches were gaining in most of the years from 1985 to 2013. The Rio Puerco annual flows, at both of the streamgages on this stream, generally decreased after 2000. Reach RP&ndash;1 was a gaining reach for 24 years of the study period.</p>\n<p>In general, Pecos River annual flows decreased substantially from the mean annual streamflow after 2000. The greatest gain on the Pecos River was estimated for the reach below Lake Sumner (reach PEC&ndash;5), which had gains in all 29 years of the study, whereas the reach from Lake Avalon southward to Red Bluff Reservoir (reach PEC&ndash;9) had losses in all 29 years. The highest flows at all streamgages on the Rio Hondo occurred in 1987; high flows there have generally decreased since 1992. Reaches from Ruidoso to below Two Rivers Reservoir, reaches RH&ndash;1 and RH&ndash;2, were losing reaches for 16 years and 28 years, respectively, over the study period.</p>\n<p>The San Juan River for the study period had some of the highest flows of any river in New Mexico, and flow on the river generally increased in the downstream direction. Annual flows at the Animas River streamgages were highly variable but after 1993, generally, tended to decrease. The extended periods of high flows on the Animas River seemed to end in 2000. Over the study period, the reach from the New Mexico border southward to Farmington, N. Mex. (reach ANI&ndash;1), generally was a losing reach except for 1987 and 1997. Annual flows at the La Plata River near Farmington, N. Mex. (09367500), streamgage generally were less than the annual inflow to the State at the La Plata River at Colorado&ndash;New Mexico State line (09366500) streamgage. Over the study period, the reach from the New Mexico border southward to Farmington (reach PLA&ndash;1) generally was a losing reach except for 1986, 1987, and 1993.</p>\n<p>Prior to 1999, annual flows at Canadian River streamgages varied above and below average, but after 1999, annual flows generally were below average. The Canadian River reaches, below the confluence of the Cimarron River (reach CAN&ndash;1) and the Canadian River to Ute Reservoir (reach CAN&ndash;2), display that the upstream reach (reach CAN&ndash;1) was a gaining reach for all 29 water years but that the downstream reach (reach CAN&ndash;2) was a losing reach for all years except 2003. Annual flows for the Cimarron River varied above and below average until 1999 and then generally were below average through 2013. The Cimarron River reach, below Eagle Nest Lake to about halfway to the confluence with the Canadian River (reach CIM&ndash;1), generally was a gaining reach except for 1996, 2002, 2011, and 2013.</p>\n<p>Gila River annual flows varied above and below average until 2005 and thereafter generally were below average. Over the study period, the reach from the Gila River near Gila, N. Mex. (09430500), streamgage to the Gila River below Blue Creek, near Virden, N. Mex. (09432000), streamgage (reach GIL&ndash;1) was a gaining reach for all years except 1990 and 2013, while the reach from the Gila River below Blue Creek, near Virden, N. Mex. (09432000), streamgage to the Gila River near Clifton, Ariz. (09442000), streamgage (reach GIL&ndash;2) was a losing reach for all years with data except 1999.</p>\n<p>The San Francisco River annual flows were relatively high compared to other years in the study in 1985, 1991&ndash;93, 1995, and 2005 but were near or below average for the rest of the years of the study. Both reaches on the San Francisco River were gaining reaches for all 29 years of the study.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155082","collaboration":"Prepared in cooperation with the New Mexico Water Resources Research Institute","usgsCitation":"Affinati, J.A., and Myers, N.C., 2015, Assessment of statewide annual streamflow in New Mexico, 1985-2013: U.S. Geological Survey Scientific Investigations Report 2015-5082, Report: vi, 65 p.; 9 Appendixes, https://doi.org/10.3133/sir20155082.","productDescription":"Report: vi, 65 p.; 9 Appendixes","numberOfPages":"75","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1984-10-01","ipdsId":"IP-064988","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":302271,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155082.jpg"},{"id":302269,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5082/pdf/sir2015-5082.pdf","text":"Report","size":"18.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":302270,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5082/downloads/sir2015-5082_apps1-9.xlsx","text":"Appendixes","size":"217 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendixes","linkHelpText":"This is an electronic copy of Appendixes 1–9"},{"id":302265,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5082/"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.05029296875,\n              31.31610138349565\n            ],\n            [\n              -109.061279296875,\n              36.98500309285596\n            ],\n            [\n              -103.0078125,\n              36.99377838872517\n            ],\n            [\n              -103.084716796875,\n              31.99875937194732\n            ],\n            [\n              -106.622314453125,\n              32.01739159980399\n            ],\n            [\n              -106.644287109375,\n              31.868227816180674\n            ],\n            [\n              -106.490478515625,\n              31.756196257571325\n            ],\n            [\n              -108.204345703125,\n              31.793555207271424\n            ],\n            [\n              -108.226318359375,\n              31.325486676506983\n            ],\n            [\n              -109.05029296875,\n              31.31610138349565\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bc6afe4b0b6d21dd6528a","contributors":{"authors":[{"text":"Affinati, Joseph Anthony jaffinati@usgs.gov","contributorId":5994,"corporation":false,"usgs":true,"family":"Affinati","given":"Joseph","email":"jaffinati@usgs.gov","middleInitial":"Anthony","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":556742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Myers, Nathan C. 0000-0002-7469-3693 nmyers@usgs.gov","orcid":"https://orcid.org/0000-0002-7469-3693","contributorId":1055,"corporation":false,"usgs":true,"family":"Myers","given":"Nathan","email":"nmyers@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":556743,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70147999,"text":"pp1814A - 2015 - Hydrogeochemical exploration: a reconnaissance study on northeastern Seward Peninsula, Alaska","interactions":[{"subject":{"id":70147999,"text":"pp1814A - 2015 - Hydrogeochemical exploration: a reconnaissance study on northeastern Seward Peninsula, Alaska","indexId":"pp1814A","publicationYear":"2015","noYear":false,"chapter":"A","displayTitle":"Hydrogeochemical Exploration: A Reconnaissance Study on Northeastern Seward Peninsula, Alaska","title":"Hydrogeochemical exploration: a reconnaissance study on northeastern Seward Peninsula, Alaska"},"predicate":"IS_PART_OF","object":{"id":70158938,"text":"pp1814 - 2015 - Studies by the U.S. Geological Survey in Alaska, Volume 15","indexId":"pp1814","publicationYear":"2015","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, Volume 15"},"id":1}],"isPartOf":{"id":70158938,"text":"pp1814 - 2015 - Studies by the U.S. Geological Survey in Alaska, Volume 15","indexId":"pp1814","publicationYear":"2015","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, Volume 15"},"lastModifiedDate":"2018-12-10T15:02:55","indexId":"pp1814A","displayToPublicDate":"2015-06-24T09:45:00","publicationYear":"2015","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":"1814","chapter":"A","displayTitle":"Hydrogeochemical Exploration: A Reconnaissance Study on Northeastern Seward Peninsula, Alaska","title":"Hydrogeochemical exploration: a reconnaissance study on northeastern Seward Peninsula, Alaska","docAbstract":"<p><span>A reconnaissance hydrogeochemical study employing high-resolution/high-sensitivity inductively coupled plasma mass spectrometry analysis of stream and seep water samples (</span><i>n</i><span>= 171) was conducted in an area of limited bedrock exposure on the northeastern Seward Peninsula, Alaska. Sampling was focused in drainages around four main areas&mdash;at the Anugi Pb-Zn-Ag occurrence and in streams upstream of historically and currently mined placer gold deposits in the Candle Creek, Utica, and Monument Mountain areas. The objective of the study was to determine whether distribution of elevated metal concentrations in water samples could &ldquo;see&rdquo; through sediment cover and provide evidence of bedrock sources for base metals and gold. Some observations include (1) elevated Ag, As, Pb, and Zn concentrations relative to the study area as a whole in stream and seep samples from over and downstream of part of the Anugi Pb-Zn-Ag prospect; (2) abrupt downstream increases in Tl and Sb &plusmn; Au concentrations coincident with the upstream termination of productive placer deposits in the Inmachuk and Old Glory Creek drainages near Utica; (3) high K, Mo, Sb, and F throughout much of the Inmachuk River drainage near Utica; and (4) elevated As &plusmn; base metals and Au at two sites along Patterson Creek near the town of Candle and three additional contiguous sites identified when an 85th percentile cut-off was employed. Molybdenum &plusmn; gold concentrations (&gt;90th percentile) were also measured in samples from three sites on Glacier Creek near Monument Mountain. The hydrogeochemistry in some areas is consistent with limited stream-sediment data from the region, including high Pb-Zn-Ag-As concentrations associated with Anugi, as well as historical reports of arsenopyrite-bearing veins upstream of placer operations in Patterson Creek. Chemistry of samples in the Inmachuk River-Old Glory Creek area also suggest more laterally extensive stibnite- (and gold-?) bearing veining than is currently known in the Old Glory Creek drainage. Our results indicate that hydrogeochemistry can be a useful method of geochemical exploration and offer targets for follow-up rock, soil, and subsurface sampling to ascertain the presence of mineralized bedrock.</span></p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Studies by the U.S. Geological Survey in Alaska, vol. 15 (Professional Paper 1814)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1814A","usgsCitation":"Graham, G.E., Taylor, R.D., and Buckley, S., 2015, Hydrogeochemical exploration: a reconnaissance study on northeastern Seward Peninsula, Alaska: U.S. Geological Survey Professional Paper 1814, v, 16 p., https://doi.org/10.3133/pp1814A.","productDescription":"v, 16 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061294","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":302268,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1814a.gif"},{"id":302267,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1814/a/pdf/p1814-a.pdf","text":"Report","size":"1.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Alaska","otherGeospatial":"Seward Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -164.00390625,\n              65.47650756256367\n            ],\n            [\n              -164.00390625,\n              67.05887024878376\n            ],\n            [\n              -160.20263671875,\n              67.05887024878376\n            ],\n            [\n              -160.20263671875,\n              65.47650756256367\n            ],\n            [\n              -164.00390625,\n              65.47650756256367\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://alaska.usgs.gov/staff/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://alaska.usgs.gov/staff/\">Alaska Science Center staff</a> <br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>4210 University Dr.<br>Anchorage, AK 99508<br><a href=\"https://minerals.usgs.gov/alaska/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://minerals.usgs.gov/alaska/\">Alaska Mineral Resources</a><br><a href=\"https://alaska.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://alaska.usgs.gov/\">Alaska Science Center </a><br data-mce-bogus=\"1\"></p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bc6b1e4b0b6d21dd65294","contributors":{"editors":[{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":753558,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":556701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Ryan D. 0000-0002-8845-5290 rtaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-8845-5290","contributorId":3412,"corporation":false,"usgs":true,"family":"Taylor","given":"Ryan","email":"rtaylor@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":556702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buckley, Steve","contributorId":140677,"corporation":false,"usgs":false,"family":"Buckley","given":"Steve","email":"","affiliations":[{"id":13548,"text":"WH Pacific, Inc. 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,{"id":70188823,"text":"70188823 - 2015 - Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the northeastern Alaska Range, Healy, Mount Hayes, Nabesna, and Tanacross quadrangles, Alaska","interactions":[],"lastModifiedDate":"2017-06-27T13:12:42","indexId":"70188823","displayToPublicDate":"2015-06-24T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the northeastern Alaska Range, Healy, Mount Hayes, Nabesna, and Tanacross quadrangles, Alaska","docAbstract":"<p>The State of Alaska’s Strategic and Critical Minerals (SCM) Assessment project, a State-funded Capital Improvement Project (CIP), is designed to evaluate Alaska’s statewide potential for SCM resources. The SCM Assessment is being implemented by the Alaska Division of Geological &amp; Geophysical Surveys (DGGS), and involves obtaining new airborne-geophysical, geological, and geochemical data. As part of the SCM Assessment, thousands of historical geochemical samples from DGGS, U.S. Geological Survey (USGS), and U.S. Bureau of Mines archives are being reanalyzed by DGGS using modern, quantitative, geochemical-analytical methods. The objective is to update the statewide geochemical database to more clearly identify areas in Alaska with SCM potential.</p><p> The USGS is also undertaking SCM-related geologic studies in Alaska through the federally funded Alaska Critical Minerals cooperative project. DGGS and USGS share the goal of evaluating Alaska’s strategic and critical minerals potential and together created a Letter of Agreement (signed December 2012) and a supplementary Technical Assistance Agreement (#14CMTAA143458) to facilitate the two agencies’ cooperative work. Under these agreements, DGGS contracted the USGS in Denver to reanalyze historical USGS sediment samples from Alaska. </p><p>For this report, DGGS funded reanalysis of 670 historical USGS sediment samples from the statewide Alaska Geochemical Database Version 2.0 (AGDB2; Granitto and others, 2013). Samples were chosen from the northeastern Alaska Range, in the Healy, Mount Hayes, Nabesna, and Tanacross quadrangles, Alaska (fig. 1). The USGS was responsible for sample retrieval from the National Geochemical Sample Archive (NGSA) in Denver, Colorado through the final quality assurance/quality control (QA/QC) of the geochemical analyses obtained through the USGS contract lab. The new geochemical data are published in this report as a coauthored DGGS report, and will be incorporated into the statewide geochemical databases of both agencies.</p>","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys","doi":"10.14509/29451","collaboration":"Alaska Division of Geological & Geophysical Surveys; Melanie B. Werdon, lead author","usgsCitation":"Werdon, M.B., Granitto, M., and Azain, J.S., 2015, Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the northeastern Alaska Range, Healy, Mount Hayes, Nabesna, and Tanacross quadrangles, Alaska, Report: 6 p. , https://doi.org/10.14509/29451.","productDescription":"Report: 6 p. 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,{"id":70148601,"text":"70148601 - 2015 - Water data to answer urgent water policy questions: Monitoring design, available data and filling data gaps for determining the effectiveness of agricultural management practices for reducing tributary nutrient loads to Lake Erie","interactions":[],"lastModifiedDate":"2017-07-20T14:27:21","indexId":"70148601","displayToPublicDate":"2015-06-24T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Water data to answer urgent water policy questions: Monitoring design, available data and filling data gaps for determining the effectiveness of agricultural management practices for reducing tributary nutrient loads to Lake Erie","docAbstract":"<p>Throughout its history, the United States has made major investments in assessing natural resources, such as soils, timber, oil and gas, and water. These investments allow policy makers, the private sector and the American public to make informed decisions about cultivating, harvesting or conserving these resources to maximize their value for public welfare, environmental conservation and the economy. As policy issues evolve, new priorities and challenges arise for natural resource assessment, and new approaches to monitoring are needed. For example, informed conservation and use of the nation’s finite fresh water resources in the context of increasingly intensive land development is a priority for today’s policy decisionmakers. There is a need to evaluate whether today’s water monitoring programs are generating the information needed to answer questions surrounding these new policy priorities. </p><p>The Northeast-Midwest Institute (NEMWI), in cooperation with the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Program, initiated this project to explore the types and amounts of water data needed to address water-quality related policy questions of critical concern to today’s policy makers. The collaborating entities identified two urgent water policy questions and conducted case studies in the Northeast-Midwest region to determine the water data needed, water data available, and the best ways to fill the data gaps relative to those questions. This report details the output from one case study and focuses on the Lake Erie drainage basin, a data-rich area expected to be a best-case scenario in terms of water data availability. </p>","language":"English","publisher":"Northeast-Midwest Institute","publisherLocation":"Washington, D.C.","isbn":"978-0-9864448-0-7","usgsCitation":"Bentanzo, E.A., Choquette, A.F., Reckhow, K.H., Hayes, L., Hagan, E.R., Argue, D.M., and Cangelosi, A., 2015, Water data to answer urgent water policy questions: Monitoring design, available data and filling data gaps for determining the effectiveness of agricultural management practices for reducing tributary nutrient loads to Lake Erie, 169 p.","productDescription":"169 p.","ipdsId":"IP-056986","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":342241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":301286,"type":{"id":15,"text":"Index 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,{"id":70148600,"text":"70148600 - 2015 - Water data to answer urgent water policy questions: Monitoring design, available data and filling data gaps for determining the effectiveness of agricultural management practices for reducing tributary nutrient loads to Lake Erie -- Addendum describing new, expanded, and planned monitoring sites","interactions":[],"lastModifiedDate":"2017-06-08T11:57:45","indexId":"70148600","displayToPublicDate":"2015-06-24T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Water data to answer urgent water policy questions: Monitoring design, available data and filling data gaps for determining the effectiveness of agricultural management practices for reducing tributary nutrient loads to Lake Erie -- Addendum describing new, expanded, and planned monitoring sites","docAbstract":"<p>This Addendum describes new, expanded, and planned water monitoring sites in the Lake Erie drainage basin that were initiated subsequent to the preparation of Betanzo et al. (2015), the primary report with which this Addendum is associated. In addition to the new water monitoring sites, new programs have been initiated that focus on expansion of agricultural management practices to reduce nutrient transport to Lake Erie and facilitate data sharing between researchers involved with agricultural management and water-quality monitoring. This Addendum evaluates the applicability of these new monitoring sites and programs for answering the case-study policy question explored in Betanzo et al. (2015), “How effective are agricultural management practices at reducing nutrients from nonpoint sources at the watershed scale in the Lake Erie drainage basin?” The water monitoring data needs for answering the case-study policy question identified in Table 18 of Betanzo et al. (2015) were used to identify relevant monitoring sites in this Addendum, specifically focusing on total phosphorus (TP), dissolved reactive phosphorus (DRP)1 , and streamflow data (the complete list of parameters needed appears in Table 3 of Betanzo et al. (2015)). The new information summarized in this Addendum consists of water monitoring and agricultural management activities conducted by agencies and organizations whose data were compiled in the nutrient data set described in Betanzo et al. (2015), and programs identified in public news releases. Although this information is considered to be comprehensive and complete as of February 2015, there may be other new or planned water monitoring programs, of which we are not aware, that are not included here.</p>","language":"English","publisher":"Northeast-Midwest Institute","isbn":"978-0-9864448-1-4","usgsCitation":"Betanzo, E.A., Choquette, A.F., and Hayes, L., 2015, Water data to answer urgent water policy questions: Monitoring design, available data and filling data gaps for determining the effectiveness of agricultural management practices for reducing tributary nutrient loads to Lake Erie -- Addendum describing new, expanded, and planned monitoring sites, iv. 28 p.","productDescription":"iv. 28 p.","startPage":"1","endPage":"23","ipdsId":"IP-064267","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":301285,"type":{"id":15,"text":"Index 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achoq@usgs.gov","contributorId":1225,"corporation":false,"usgs":true,"family":"Choquette","given":"Anne","email":"achoq@usgs.gov","middleInitial":"F.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Laura 0000-0002-4488-1343 lhayes@usgs.gov","orcid":"https://orcid.org/0000-0002-4488-1343","contributorId":2791,"corporation":false,"usgs":true,"family":"Hayes","given":"Laura","email":"lhayes@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548840,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188824,"text":"70188824 - 2015 - Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Tonsina area, Valdez Quadrangle, Alaska","interactions":[],"lastModifiedDate":"2017-06-27T12:47:31","indexId":"70188824","displayToPublicDate":"2015-06-24T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Tonsina area, Valdez Quadrangle, Alaska","docAbstract":"<p>The State of Alaska’s Strategic and Critical Minerals (SCM) Assessment project, a State-funded Capital Improvement Project (CIP), is designed to evaluate Alaska’s statewide potential for SCM resources. The SCM Assessment is being implemented by the Alaska Division of Geological &amp; Geophysical Surveys (DGGS), and involves obtaining new airborne-geophysical, geological, and geochemical data. As part of the SCM Assessment, thousands of historical geochemical samples from DGGS, U.S. Geological Survey (USGS), and U.S. Bureau of Mines archives are being reanalyzed by DGGS using modern, quantitative, geochemical-analytical methods. The objective is to update the statewide geochemical database to more clearly identify areas in Alaska with SCM potential. The USGS is also undertaking SCM-related geologic studies in Alaska through the federally funded Alaska Critical Minerals cooperative project. DGGS and USGS share the goal of evaluating Alaska’s strategic and critical minerals potential and together created a Letter of Agreement (signed December 2012) and a supplementary Technical Assistance Agreement (#14CMTAA143458) to facilitate the two agencies’ cooperative work. Under these agreements, DGGS contracted the USGS in Denver to reanalyze historical USGS sediment samples from Alaska. For this report, DGGS funded reanalysis of 128 historical USGS sediment samples from the statewide Alaska Geochemical Database Version 2.0 (AGDB2; Granitto and others, 2013). Samples were chosen from the Tonsina area in the Chugach Mountains, Valdez quadrangle, Alaska (fig. 1). The USGS was responsible for sample retrieval from the National Geochemical Sample Archive (NGSA) in Denver, Colorado through the final quality assurance/quality control (QA/QC) of the geochemical analyses obtained through the USGS contract lab. The new geochemical data are published in this report as a coauthored DGGS report, and will be incorporated into the statewide geochemical databases of both agencies</p>","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys","doi":"10.14509/29452","collaboration":"Alaska Division of Geological & Geophysical Surveys; Melanie B. 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,{"id":70155174,"text":"70155174 - 2015 - Food web heterogeneity and succession in created saltmarshes","interactions":[],"lastModifiedDate":"2016-07-17T23:26:10","indexId":"70155174","displayToPublicDate":"2015-06-23T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Food web heterogeneity and succession in created saltmarshes","docAbstract":"<p>1. Ecological restoration must achieve functional as well as structural recovery. Functional metrics for reestablishment of trophic interactions can be used to complement traditional monitoring of structural attributes. In addition, topographic effects on food web structure provide added information within a restoration context; often, created sites may require spatial heterogeneity to effectively match structure and function of natural habitats. 2. We addressed both of these issues in our study of successional development of benthic food web structure, with focus on bottom&ndash;up driven changes in macroinvertebrate consumer assemblages in the salt marshes of the Venice Lagoon, Italy. We combined quantified estimates of the changing community composition with stable isotope data (13C:12C and 15N:14N) to compare the general trophic structure between created (2&ndash;14 years) marshes and reference sites and along topographic elevation gradients within salt marshes. 3. Macrofaunal invertebrate consumers exhibited local, habitat-specific trophic patterns. Stable isotope-based trophic structure changed with increasing marsh age, in particular with regards to mid-elevation (Salicornia) habitats. In young marshes, the mid-elevation consumer signatures resembled those of unvegetated ponds. The mid elevation of older and natural marshes had a more distinct Salicornia-zone food web, occasionally resembling that of the highest (Sarcocornia-dominated) elevation. In summary, this indicates that primary producers and availability of vascular plant detritus structure consumer trophic interactions and the flow of carbon. 4. Functionally different consumers, subsurface-feeding detritivores (Oligochaeta) and surface grazers (Hydrobia sp.), showed distinct but converging trajectories of isotopic change over time, indicating that successional development may be asymmetric between &lsquo;brown&rsquo; (detrital) guilds and &lsquo;green&rsquo; (grazing) guilds in the food web. 5. Synthesis and applications. Created marsh food webs converged into a natural state over about a decade, with successional shifts seen in both consumer community composition and stable isotope space. Strong spatial effects were noted, highlighting the utility of stable isotopes to evaluate functional equivalence in spatially heterogeneous systems. Understanding the recovery of functional properties such as food web support, and their inherent spatial variability, is key to planning and managing successful habitat restoration.</p>","language":"English","publisher":"British Ecological Society","publisherLocation":"Oxford","doi":"10.1111/1365-2664.12473","usgsCitation":"Nordstrom, M.C., Demopoulos, A.W., Whitcraft, C., Rismondo, A., McMillan, P., Gonzales, J.P., and Levin, L.A., 2015, Food web heterogeneity and succession in created saltmarshes: Journal of Applied Ecology, v. 52, no. 5, p. 1343-1354, https://doi.org/10.1111/1365-2664.12473.","productDescription":"12 p.","startPage":"1343","endPage":"1354","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056682","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":471999,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12473","text":"Publisher Index Page"},{"id":306289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Adriatic Sea, Venice Lagoon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              11.8267822265625,\n              44.94730538740607\n            ],\n            [\n              11.8267822265625,\n              45.696588248373764\n            ],\n            [\n              13.02154541015625,\n              45.696588248373764\n            ],\n            [\n              13.02154541015625,\n              44.94730538740607\n            ],\n            [\n              11.8267822265625,\n              44.94730538740607\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"52","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-23","publicationStatus":"PW","scienceBaseUri":"55bc9c2be4b033ef52100f24","contributors":{"authors":[{"text":"Nordstrom, M C","contributorId":145682,"corporation":false,"usgs":false,"family":"Nordstrom","given":"M","email":"","middleInitial":"C","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":564972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694 ademopoulos@usgs.gov","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":145681,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","email":"ademopoulos@usgs.gov","middleInitial":"W.J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":564971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitcraft, CR","contributorId":145683,"corporation":false,"usgs":false,"family":"Whitcraft","given":"CR","email":"","affiliations":[{"id":16197,"text":"California State University, Long Beach, CA","active":true,"usgs":false}],"preferred":false,"id":564973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rismondo, A.","contributorId":145684,"corporation":false,"usgs":false,"family":"Rismondo","given":"A.","email":"","affiliations":[{"id":16198,"text":"SELC, Venice, Italy","active":true,"usgs":false}],"preferred":false,"id":564974,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMillan, P.","contributorId":145685,"corporation":false,"usgs":false,"family":"McMillan","given":"P.","email":"","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":564975,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gonzales, J P","contributorId":145686,"corporation":false,"usgs":false,"family":"Gonzales","given":"J","email":"","middleInitial":"P","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":564976,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Levin, L A","contributorId":145687,"corporation":false,"usgs":false,"family":"Levin","given":"L","email":"","middleInitial":"A","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":564977,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70148599,"text":"ofr20151116 - 2015 - NGA-West 2 GMPE average site coefficients for use in earthquake-resistant design","interactions":[],"lastModifiedDate":"2015-06-22T11:48:07","indexId":"ofr20151116","displayToPublicDate":"2015-06-22T12:45:00","publicationYear":"2015","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":"2015-1116","title":"NGA-West 2 GMPE average site coefficients for use in earthquake-resistant design","docAbstract":"<p><span>Site coefficients corresponding to those in tables 11.4&ndash;1 and 11.4&ndash;2 of Minimum Design Loads for Buildings and Other Structures published by the American Society of Civil Engineers (Standard ASCE/SEI 7-10) are derived from four of the Next Generation Attenuation West2 (NGA-W2) Ground-Motion Prediction Equations (GMPEs). The resulting coefficients are compared with those derived by other researchers and those derived from the NGA-West1 database. The derivation of the NGA-W2 average site coefficients provides a simple procedure to update site coefficients with each update in the Maximum Considered Earthquake Response MCER maps. The simple procedure yields average site coefficients consistent with those derived for site-specific design purposes. The NGA-W2 GMPEs provide simple scale factors to reduce conservatism in current simplified design procedures.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151116","usgsCitation":"Borcherdt, R.D., 2015, NGA-West 2 GMPE average site coefficients for use in earthquake-resistant design: U.S. Geological Survey Open-File Report 2015-1116, v, 27 p., https://doi.org/10.3133/ofr20151116.","productDescription":"v, 27 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-062975","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":301552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151116.gif"},{"id":301551,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1116/pdf/ofr2015-1116.pdf","text":"Report","size":"346 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301550,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1116/"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558923a4e4b0b6d21dd61a49","contributors":{"authors":[{"text":"Borcherdt, Roger D. 0000-0002-8668-0849 borcherdt@usgs.gov","orcid":"https://orcid.org/0000-0002-8668-0849","contributorId":2373,"corporation":false,"usgs":true,"family":"Borcherdt","given":"Roger","email":"borcherdt@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":548837,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70197064,"text":"70197064 - 2015 - Economic assessment of the use value of geospatial information","interactions":[],"lastModifiedDate":"2018-05-18T13:47:13","indexId":"70197064","displayToPublicDate":"2015-06-22T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5685,"text":"ISPRS International Journal of Geo-Information ","printIssn":"2220-9964","active":true,"publicationSubtype":{"id":10}},"title":"Economic assessment of the use value of geospatial information","docAbstract":"<p><span>Geospatial data inform decision makers. An economic model that involves application of spatial and temporal scientific, technical, and economic data in decision making is described. The value of information (VOI) contained in geospatial data is the difference between the net benefits (in present value terms) of a decision with and without the information. A range of technologies is used to collect and distribute geospatial data. These technical activities are linked to examples that show how the data can be applied in decision making, which is a cultural activity. The economic model for assessing the VOI in geospatial data for decision making is applied to three examples: (1) a retrospective model about environmental regulation of agrochemicals; (2) a prospective model about the impact and mitigation of earthquakes in urban areas; and (3) a prospective model about developing private–public geospatial information for an ecosystem services market. Each example demonstrates the potential value of geospatial information in a decision with uncertain information.</span></p>","language":"English","publisher":"International Society for Photogrammetry and Remote Sensing","doi":"10.3390/ijgi4031142","usgsCitation":"Bernknopf, R.L., and Shapiro, C.D., 2015, Economic assessment of the use value of geospatial information: ISPRS International Journal of Geo-Information , v. 4, no. 3, p. 1142-1165, https://doi.org/10.3390/ijgi4031142.","productDescription":"24 p.","startPage":"1142","endPage":"1165","ipdsId":"IP-066480","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":472003,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ijgi4031142","text":"Publisher Index Page"},{"id":354200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"3","noUsgsAuthors":false,"publicationDate":"2015-07-09","publicationStatus":"PW","scienceBaseUri":"5afeeb5fe4b0da30c1bfc667","contributors":{"authors":[{"text":"Bernknopf, Richard L.","contributorId":97061,"corporation":false,"usgs":true,"family":"Bernknopf","given":"Richard","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":735455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shapiro, Carl D. 0000-0002-1598-6808 cshapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-1598-6808","contributorId":3048,"corporation":false,"usgs":true,"family":"Shapiro","given":"Carl","email":"cshapiro@usgs.gov","middleInitial":"D.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":735456,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70140696,"text":"ds922 - 2015 - Data from the 2011 International Piping Plover Census","interactions":[],"lastModifiedDate":"2017-11-22T15:54:20","indexId":"ds922","displayToPublicDate":"2015-06-19T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"922","title":"Data from the 2011 International Piping Plover Census","docAbstract":"<p><span>This report provides results from the 2011 International Census of Piping Plovers (</span><i>Charadrius melodus</i><span>). Distribution and abundance data for wintering and breeding Piping Plovers are summarized in tabular format. An appendix provides census data for every site surveyed in every state, province, and island. The 2011 winter census resulted in the observation of 3,973 Piping Plovers. Expanded coverage outside of the United States led to the discovery of more than 1,000 Piping Plovers wintering in the Bahamas. The breeding census detected 2,771 birds in Atlantic Canada and the Plains, Prairies, and Great Lakes regions of the United States and Canada. Combining the census count with the U.S. Atlantic &ldquo;window census&rdquo; provides a total minimum estimate of 5,723 breeding birds for the species.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds922","collaboration":"Report prepared jointly by the U.S. Geological Survey and Environment Canada. Cooperating agencies: U.S. Army Corps of Engineers and the U.S. Fish and Wildlife Service.","usgsCitation":"Elliott-Smith, E., Bidwell, M., Holland, A.E., and Haig, S.M., 2015, Data from the 2011 International Piping Plover Census: U.S. Geological Survey Data Series 922, iii, 296 p., https://doi.org/10.3133/ds922.","productDescription":"iii, 296 p.","numberOfPages":"304","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057107","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":301321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds922.PNG"},{"id":301294,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0922"},{"id":301320,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0922/pdf/ds922.pdf","text":"Report","size":"21.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.068359375,\n              43.389081939117496\n            ],\n            [\n              -80.068359375,\n              62.83508901142283\n            ],\n            [\n              -52.20703125,\n              62.83508901142283\n            ],\n            [\n              -52.20703125,\n              43.389081939117496\n            ],\n            [\n              -80.068359375,\n              43.389081939117496\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.970703125,\n              45.398449976304086\n            ],\n            [\n              -119.970703125,\n              59.88893689676585\n            ],\n            [\n              -80.244140625,\n              59.88893689676585\n            ],\n            [\n              -80.244140625,\n              45.398449976304086\n            ],\n            [\n              -119.970703125,\n              45.398449976304086\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.5078125,\n              36.4566360115962\n            ],\n            [\n              -125.5078125,\n              49.15296965617039\n            ],\n            [\n              -66.70898437499999,\n              49.15296965617039\n            ],\n            [\n              -66.70898437499999,\n              36.4566360115962\n            ],\n            [\n              -125.5078125,\n              36.4566360115962\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55852f1de4b023124e8f5aa3","contributors":{"authors":[{"text":"Elliott-Smith, Elise eelliott-smith@usgs.gov","contributorId":3645,"corporation":false,"usgs":true,"family":"Elliott-Smith","given":"Elise","email":"eelliott-smith@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":548922,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bidwell, Mark T.","contributorId":139204,"corporation":false,"usgs":false,"family":"Bidwell","given":"Mark T.","affiliations":[{"id":12696,"text":"Environmental Canada","active":true,"usgs":false}],"preferred":false,"id":548923,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holland, Amanda E.","contributorId":139205,"corporation":false,"usgs":false,"family":"Holland","given":"Amanda","email":"","middleInitial":"E.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":548924,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":548925,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148000,"text":"fs20153038 - 2015 - Water resources of St. James Parish, Louisiana","interactions":[],"lastModifiedDate":"2015-06-19T08:55:18","indexId":"fs20153038","displayToPublicDate":"2015-06-19T09:45:00","publicationYear":"2015","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":"2015-3038","title":"Water resources of St. James Parish, Louisiana","docAbstract":"<p><span>Information concerning the availability, use, and quality of water in St. James Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey&rsquo;s National Water Information System (</span><a href=\"http://waterdata.usgs.gov/nwis\">http://waterdata.usgs.gov/nwis</a><span>) are the primary sources of the information presented here.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153038","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., and Prakken, L., 2015, Water resources of St. James Parish, Louisiana: U.S. Geological Survey Fact Sheet 2015-3038, 6 p., https://doi.org/10.3133/fs20153038.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063524","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":301309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153038.jpg"},{"id":301308,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3038/pdf/fs2015-3038.pdf","text":"Report","size":"3.44 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301289,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2015/3038/"}],"country":"United States","state":"Louisiana","county":"St. James Parish","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.98052978515625,\n              29.854937397596718\n            ],\n            [\n              -90.98052978515625,\n              30.184308939305243\n            ],\n            [\n              -90.61660766601562,\n              30.184308939305243\n            ],\n            [\n              -90.61660766601562,\n              29.854937397596718\n            ],\n            [\n              -90.98052978515625,\n              29.854937397596718\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55852f1ee4b023124e8f5aa9","contributors":{"authors":[{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","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":548877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prakken, Lawrence B. lprakken@usgs.gov","contributorId":139067,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence B.","email":"lprakken@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":548878,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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