{"pageNumber":"1302","pageRowStart":"32525","pageSize":"25","recordCount":165309,"records":[{"id":70117159,"text":"70117159 - 2014 - Contaminant exposure of birds nesting in Green Bay, Wisconsin, USA","interactions":[],"lastModifiedDate":"2019-12-10T12:43:59","indexId":"70117159","displayToPublicDate":"2014-07-18T15:52:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Contaminant exposure of birds nesting in Green Bay, Wisconsin, USA","docAbstract":"<p>In earlier studies, elevated concentrations of polychlorinated biphenyl (PCB) and p,p'-dichlorodiphenyldichloroethylene (DDE) were reported in double-crested cormorant (Phalacrocorax auritus) eggs and tree swallow (Tachycineta bicolor) eggs and nestlings collected from lower Green Bay (WI, USA) in 1994 and 1995 and black-crowned night-heron (Nycticorax nycticorax) eggs collected in 1991. Comparable samples collected in 2010 and 2011 indicated that concentrations of PCBs were 35%, 62%, 70%, and 88% lower than in the early 1990s in tree swallow eggs, tree swallow nestlings, double-crested cormorant eggs, and black-crowned night-heron eggs, respectively; concentrations of DDE were 47%, 43%, 51%, and 80% lower, respectively. These declines are consistent with regional contaminant trends in other species. Concentrations of PCBs were higher in herring gull (Larus argentatus) than in black-crowned night-heron eggs collected from Green Bay in 2010; PCB concentrations in double-crested cormorant and tree swallow eggs were intermediate. The estimated toxicity of the PCB mixture in eggs of the insectivorous tree swallow was the equal to or greater than toxicity in the 3 piscivorous bird species. A multivariate analysis indicated that the composition percentage of lower-numbered PCB congeners was greater in eggs of the insectivorous tree swallow than in eggs of the 3 piscivorous species nesting in Green Bay. Dioxin and furan concentrations and the toxicity of these chemicals were also higher in tree swallows than these other waterbird species nesting in Green Bay.</p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.2609","usgsCitation":"Custer, T.W., Dummer, P.M., Custer, C.M., Franson, J., and Jones, M., 2014, Contaminant exposure of birds nesting in Green Bay, Wisconsin, USA: Environmental Toxicology and Chemistry, v. 33, no. 8, p. 1832-1839, https://doi.org/10.1002/etc.2609.","productDescription":"8 p.","startPage":"1832","endPage":"1839","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054288","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":290491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Green Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.187255859375,\n              44.38669150215206\n            ],\n            [\n              -87.8741455078125,\n              44.38669150215206\n            ],\n            [\n              -87.8741455078125,\n              44.653024159812\n            ],\n            [\n              -88.187255859375,\n              44.653024159812\n            ],\n            [\n              -88.187255859375,\n              44.38669150215206\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"33","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-04-15","publicationStatus":"PW","scienceBaseUri":"53cd52a8e4b0b290850f4a7f","contributors":{"authors":[{"text":"Custer, Thomas W. 0000-0003-3170-6519 tcuster@usgs.gov","orcid":"https://orcid.org/0000-0003-3170-6519","contributorId":2835,"corporation":false,"usgs":true,"family":"Custer","given":"Thomas","email":"tcuster@usgs.gov","middleInitial":"W.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":495961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dummer, Paul M. 0000-0002-2055-9480","orcid":"https://orcid.org/0000-0002-2055-9480","contributorId":90665,"corporation":false,"usgs":true,"family":"Dummer","given":"Paul","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":495963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Custer, Christine M. 0000-0003-0500-1582 ccuster@usgs.gov","orcid":"https://orcid.org/0000-0003-0500-1582","contributorId":1143,"corporation":false,"usgs":true,"family":"Custer","given":"Christine","email":"ccuster@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":495960,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Franson, J. Christian 0000-0002-0251-4238","orcid":"https://orcid.org/0000-0002-0251-4238","contributorId":95002,"corporation":false,"usgs":true,"family":"Franson","given":"J. Christian","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":495964,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Michael","contributorId":44838,"corporation":false,"usgs":true,"family":"Jones","given":"Michael","affiliations":[],"preferred":false,"id":495962,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70117128,"text":"70117128 - 2014 - Riverbank filtration potential of pharmaceuticals in a wastewater-impacted stream","interactions":[],"lastModifiedDate":"2018-09-18T16:48:48","indexId":"70117128","displayToPublicDate":"2014-07-18T15:44:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Riverbank filtration potential of pharmaceuticals in a wastewater-impacted stream","docAbstract":"Pharmaceutical contamination of shallow groundwater is a substantial concern in effluent-dominated streams, due to high aqueous mobility, designed bioactivity, and effluent-driven hydraulic gradients. In October and December 2012, effluent contributed approximately 99% and 71%, respectively, to downstream flow in Fourmile Creek, Iowa, USA. Strong hydrologic connectivity was observed between surface-water and shallow-groundwater. Carbamazepine, sulfamethoxazole, and immunologically-related compounds were detected in groundwater at greater than 0.02 μg L<sup>−1</sup> at distances up to 6 m from the stream bank. Direct aqueous-injection HPLC-MS/MS revealed 43% and 55% of 110 total pharmaceutical analytes in surface-water samples in October and December, respectively, with 16% and 6%, respectively, detected in groundwater approximately 20 m from the stream bank. The results demonstrate the importance of effluent discharge as a driver of local hydrologic conditions in an effluent-impacted stream and thus as a fundamental control on surface-water to groundwater transport of effluent-derived pharmaceutical contaminants.","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2014.06.028","usgsCitation":"Bradley, P.M., Barber, L.B., Duris, J.W., Foreman, W., Furlong, E.T., Hubbard, L.E., Hutchinson, K.J., Keefe, S.H., and Kolpin, D.W., 2014, Riverbank filtration potential of pharmaceuticals in a wastewater-impacted stream: Environmental Pollution, v. 193, p. 173-180, https://doi.org/10.1016/j.envpol.2014.06.028.","productDescription":"8 p.","startPage":"173","endPage":"180","numberOfPages":"8","ipdsId":"IP-057733","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":472868,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2014.06.028","text":"Publisher Index Page"},{"id":290488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":290470,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envpol.2014.06.028"}],"country":"United States","state":"Iowa","city":"Ankeny","otherGeospatial":"Fourmile Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.671297,41.652082 ], [ -93.671297,41.776818 ], [ -93.541439,41.776818 ], [ -93.541439,41.652082 ], [ -93.671297,41.652082 ] ] ] } } ] }","volume":"193","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7111e4b0b2908510770f","contributors":{"authors":[{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":495938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duris, Joseph W. 0000-0002-8669-8109 jwduris@usgs.gov","orcid":"https://orcid.org/0000-0002-8669-8109","contributorId":1981,"corporation":false,"usgs":true,"family":"Duris","given":"Joseph","email":"jwduris@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":495941,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foreman, William T. wforeman@usgs.gov","contributorId":1473,"corporation":false,"usgs":true,"family":"Foreman","given":"William T.","email":"wforeman@usgs.gov","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":false,"id":495940,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":495937,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hubbard, Laura E. 0000-0003-3813-1500 lhubbard@usgs.gov","orcid":"https://orcid.org/0000-0003-3813-1500","contributorId":4221,"corporation":false,"usgs":true,"family":"Hubbard","given":"Laura","email":"lhubbard@usgs.gov","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495943,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hutchinson, Kasey J. khutchin@usgs.gov","contributorId":4223,"corporation":false,"usgs":true,"family":"Hutchinson","given":"Kasey","email":"khutchin@usgs.gov","middleInitial":"J.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495944,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Keefe, Steffanie H. 0000-0002-3805-6101 shkeefe@usgs.gov","orcid":"https://orcid.org/0000-0002-3805-6101","contributorId":2843,"corporation":false,"usgs":true,"family":"Keefe","given":"Steffanie","email":"shkeefe@usgs.gov","middleInitial":"H.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":495942,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495939,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70101943,"text":"ofr20141071 - 2014 - Characterization of potential mineralization in Afghanistan: four permissive areas identified using imaging spectroscopy data","interactions":[],"lastModifiedDate":"2014-07-22T08:30:07","indexId":"ofr20141071","displayToPublicDate":"2014-07-18T11:26:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1071","title":"Characterization of potential mineralization in Afghanistan: four permissive areas identified using imaging spectroscopy data","docAbstract":"As part of the U.S. Geological Survey and Department of Defense Task Force for Business and Stability Operations natural resources revitalization activities in Afghanistan, four permissive areas for mineralization, Bamyan 1, Farah 1, Ghazni 1, and Ghazni 2, have been identified using imaging spectroscopy data. To support economic development, the areas of potential mineralization were selected on the occurrence of selected mineral assemblages mapped using the HyMap™ data (kaolinite, jarosite, hydrated silica, chlorite, epidote, iron-bearing carbonate, buddingtonite, dickite, and alunite) that may be indicative of past mineralization processes in areas with limited or no previous mineral resource studies. Approximately 30 sites were initially determined to be candidates for areas of potential mineralization. Additional criteria and material used to refine the selection and prioritization process included existing geologic maps, Landsat Thematic Mapper data, and published literature. The HyMapTM data were interpreted in the context of the regional geologic and tectonic setting and used the presence of alteration mineral assemblages to identify areas with the potential for undiscovered mineral resources. Further field-sampling, mapping, and supporting geochemical analyses are necessary to fully substantiate and verify the specific deposit types in the four areas of potential mineralization.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141071","collaboration":"Prepared in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations and the Afghanistan Geological Survey","usgsCitation":"King, T., Berger, B.R., and Johnson, M., 2014, Characterization of potential mineralization in Afghanistan: four permissive areas identified using imaging spectroscopy data: U.S. Geological Survey Open-File Report 2014-1071, vi, 67 p., https://doi.org/10.3133/ofr20141071.","productDescription":"vi, 67 p.","numberOfPages":"74","onlineOnly":"Y","ipdsId":"IP-053227","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":290456,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141071.jpg"},{"id":290454,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1071/"},{"id":290455,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1071/pdf/ofr2014-1071.pdf"}],"scale":"100000","projection":"Transverse Mercator projection","datum":"World Geodetic System 1984","country":"Afghanistan","state":"Bamyan;Farah;Ghazni","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 62.0,30.0 ], [ 62.0,38.0 ], [ 74.0,38.0 ], [ 74.0,30.0 ], [ 62.0,30.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd50bbe4b0b290850f3827","contributors":{"authors":[{"text":"King, Trude","contributorId":29831,"corporation":false,"usgs":true,"family":"King","given":"Trude","email":"","affiliations":[],"preferred":false,"id":492809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berger, Byron R. bberger@usgs.gov","contributorId":1490,"corporation":false,"usgs":true,"family":"Berger","given":"Byron","email":"bberger@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":492808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Michaela R. 0000-0001-6133-0247 mrjohns@usgs.gov","orcid":"https://orcid.org/0000-0001-6133-0247","contributorId":1013,"corporation":false,"usgs":true,"family":"Johnson","given":"Michaela R.","email":"mrjohns@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492807,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70117080,"text":"70117080 - 2014 - A hierarchical model combining distance sampling and time removal to estimate detection probability during avian point counts","interactions":[],"lastModifiedDate":"2017-10-24T15:16:15","indexId":"70117080","displayToPublicDate":"2014-07-18T11:21:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"A hierarchical model combining distance sampling and time removal to estimate detection probability during avian point counts","docAbstract":"<p>Imperfect detection during animal surveys biases estimates of abundance and can lead to improper conclusions regarding distribution and population trends. Farnsworth et al. (2005) developed a combined distance-sampling and time-removal model for point-transect surveys that addresses both availability (the probability that an animal is available for detection; e.g., that a bird sings) and perceptibility (the probability that an observer detects an animal, given that it is available for detection). We developed a hierarchical extension of the combined model that provides an integrated analysis framework for a collection of survey points at which both distance from the observer and time of initial detection are recorded. Implemented in a Bayesian framework, this extension facilitates evaluating covariates on abundance and detection probability, incorporating excess zero counts (i.e. zero-inflation), accounting for spatial autocorrelation, and estimating population density. Species-specific characteristics, such as behavioral displays and territorial dispersion, may lead to different patterns of availability and perceptibility, which may, in turn, influence the performance of such hierarchical models. Therefore, we first test our proposed model using simulated data under different scenarios of availability and perceptibility. We then illustrate its performance with empirical point-transect data for a songbird that consistently produces loud, frequent, primarily auditory signals, the Golden-crowned Sparrow (<i>Zonotrichia atricapilla</i>); and for 2 ptarmigan species (<i>Lagopus</i> spp.) that produce more intermittent, subtle, and primarily visual cues. Data were collected by multiple observers along point transects across a broad landscape in southwest Alaska, so we evaluated point-level covariates on perceptibility (observer and habitat), availability (date within season and time of day), and abundance (habitat, elevation, and slope), and included a nested point-within-transect and park-level effect. Our results suggest that this model can provide insight into the detection process during avian surveys and reduce bias in estimates of relative abundance but is best applied to surveys of species with greater availability (e.g., breeding songbirds).</p>","language":"English","publisher":"American Ornithological Society","doi":"10.1642/AUK-14-11.1","usgsCitation":"Amundson, C.L., Royle, J., and Handel, C.M., 2014, A hierarchical model combining distance sampling and time removal to estimate detection probability during avian point counts: The Auk, v. 131, no. 4, p. 476-494, https://doi.org/10.1642/AUK-14-11.1.","productDescription":"19 p.","startPage":"476","endPage":"494","ipdsId":"IP-051985","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":472869,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1642/AUK-14-11.1","text":"External Repository"},{"id":290450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"131","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd49eee4b0b290850ef786","contributors":{"authors":[{"text":"Amundson, Courtney L. 0000-0002-0166-7224 camundson@usgs.gov","orcid":"https://orcid.org/0000-0002-0166-7224","contributorId":4833,"corporation":false,"usgs":true,"family":"Amundson","given":"Courtney","email":"camundson@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":495921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":495922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":495920,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70115360,"text":"ofr20141137 - 2014 - Design of a sediment-monitoring gaging network on ephemeral tributaries of the Colorado River in Glen, Marble, and Grand Canyons, Arizona","interactions":[],"lastModifiedDate":"2018-03-21T15:45:42","indexId":"ofr20141137","displayToPublicDate":"2014-07-18T11:08:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1137","title":"Design of a sediment-monitoring gaging network on ephemeral tributaries of the Colorado River in Glen, Marble, and Grand Canyons, Arizona","docAbstract":"<p>Management of sediment in rivers downstream from dams requires knowledge of both the sediment supply and downstream sediment transport. In some dam-regulated rivers, the amount of sediment supplied by easily measured major tributaries may overwhelm the amount of sediment supplied by the more difficult to measure lesser tributaries. In this first class of rivers, managers need only know the amount of sediment supplied by these major tributaries. However, in other regulated rivers, the cumulative amount of sediment supplied by the lesser tributaries may approach the total supplied by the major tributaries. The Colorado River downstream from Glen Canyon has been hypothesized to be one such river. If this is correct, then management of sediment in the Colorado River in the part of Glen Canyon National Recreation Area downstream from the dam and in Grand Canyon National Park may require knowledge of the sediment supply from all tributaries. Although two major tributaries, the Paria and Little Colorado Rivers, are well documented as the largest two suppliers of sediment to the Colorado River downstream from Glen Canyon Dam, the contributions of sediment supplied by the ephemeral lesser tributaries of the Colorado River in the lowermost Glen Canyon, and Marble and Grand Canyons are much less constrained. Previous studies have estimated amounts of sediment supplied by these tributaries ranging from very little to almost as much as the amount supplied by the Paria River. Because none of these previous studies relied on direct measurement of sediment transport in any of the ephemeral tributaries in Glen, Marble, or Grand Canyons, there may be significant errors in the magnitudes of sediment supplies estimated during these studies. To reduce the uncertainty in the sediment supply by better constraining the sediment yield of the ephemeral lesser tributaries, the U.S. Geological Survey Grand Canyon Monitoring and Research Center established eight sediment-monitoring gaging stations beginning in 2000 on the larger of the previously ungaged tributaries of the Colorado River downstream from Glen Canyon Dam. The sediment-monitoring gaging stations consist of a downward-looking stage sensor and passive suspended-sediment samplers. Two stations are equipped with automatic pump samplers to collect suspended-sediment samples during flood events.</p>\n<br/>\n<p>Directly measuring discharge and collecting suspended-sediment samples in these remote ephemeral streams during significant sediment-transporting events is nearly impossible; most significant run-off events are short-duration events (lasting minutes to hours) associated with summer thunderstorms. As the remote locations and short duration of these floods make it prohibitively expensive, if not impossible, to directly measure the discharge of water or collect traditional depth-integrated suspended-sediment samples, a method of calculating sediment loads was developed that includes documentation of stream stages by field instrumentation, modeling of discharges associated with these stages, and automatic suspended-sediment measurements. The approach developed is as follows (1) survey and model flood high-water marks using a two-dimensional hydrodynamic model, (2) create a stage-discharge relation for each site by combining the modeled flood flows with the measured stage record, (3) calculate the discharge record for each site using the stage-discharge relation and the measured stage record, and (4) calculate the instantaneous and cumulative sediment loads using the discharge record and suspended-sediment concentrations measured from samples collected with passive US U-59 samplers and ISCO<sup>TM</sup> pump samplers. This paper presents the design of the gaging network and briefly describes the methods used to calculate discharge and sediment loads. The design and methods herein can easily be used at other remote locations where discharge and sediment loads are required.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141137","usgsCitation":"Griffiths, R.E., Topping, D.J., Anderson, R., Hancock, G.S., and Melis, T., 2014, Design of a sediment-monitoring gaging network on ephemeral tributaries of the Colorado River in Glen, Marble, and Grand Canyons, Arizona: U.S. Geological Survey Open-File Report 2014-1137, iv, 21 p., https://doi.org/10.3133/ofr20141137.","productDescription":"iv, 21 p.","numberOfPages":"27","onlineOnly":"Y","ipdsId":"IP-055794","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":290452,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1137/pdf/ofr2014-1137.pdf"},{"id":290453,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141137.jpg"},{"id":290449,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1137/"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River;Glen Canyon;Grand Canyon;Marble Canyon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.50,36.00 ], [ -112.50,37.00 ], [ -111.50,37.00 ], [ -111.50,36.00 ], [ -112.50,36.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5455e4b0b290850f5ab2","contributors":{"authors":[{"text":"Griffiths, Ronald E.","contributorId":76426,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":495603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":715,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":495602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Robert S.","contributorId":102396,"corporation":false,"usgs":true,"family":"Anderson","given":"Robert S.","affiliations":[],"preferred":false,"id":495605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hancock, Gregory S.","contributorId":85096,"corporation":false,"usgs":false,"family":"Hancock","given":"Gregory","email":"","middleInitial":"S.","affiliations":[{"id":6686,"text":"College of William and Mary","active":true,"usgs":false}],"preferred":false,"id":495604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Melis, Theodore S. 0000-0003-0473-3968 tmelis@usgs.gov","orcid":"https://orcid.org/0000-0003-0473-3968","contributorId":1829,"corporation":false,"usgs":true,"family":"Melis","given":"Theodore S.","email":"tmelis@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":495601,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70110905,"text":"ds851 - 2014 - Geospatial database of estimates of groundwater discharge to streams in the Upper Colorado River Basin","interactions":[],"lastModifiedDate":"2017-01-04T10:40:05","indexId":"ds851","displayToPublicDate":"2014-07-18T10:58:00","publicationYear":"2014","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":"851","title":"Geospatial database of estimates of groundwater discharge to streams in the Upper Colorado River Basin","docAbstract":"<p>The U.S. Geological Survey, as part of the Department of the Interior&rsquo;s WaterSMART (Sustain and Manage America&rsquo;s Resources for Tomorrow) initiative, compiled published estimates of groundwater discharge to streams in the Upper Colorado River Basin as a geospatial database. For the purpose of this report, groundwater discharge to streams is the baseflow portion of streamflow that includes contributions of groundwater from various flow paths. Reported estimates of groundwater discharge were assigned as attributes to stream reaches derived from the high-resolution National Hydrography Dataset. A total of 235 estimates of groundwater discharge to streams were compiled and included in the dataset. Feature class attributes of the geospatial database include groundwater discharge (acre-feet per year), method of estimation, citation abbreviation, defined reach, and 8-digit hydrologic unit code(s). Baseflow index (BFI) estimates of groundwater discharge were calculated using an existing streamflow characteristics dataset and were included as an attribute in the geospatial database. A comparison of the BFI estimates to the compiled estimates of groundwater discharge found that the BFI estimates were greater than the reported groundwater discharge estimates.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds851","usgsCitation":"Garcia, A., Masbruch, M.D., and Susong, D.D., 2014, Geospatial database of estimates of groundwater discharge to streams in the Upper Colorado River Basin: U.S. Geological Survey Data Series 851, Report: iv, 6 p.; Metadata; Spatial Data, https://doi.org/10.3133/ds851.","productDescription":"Report: iv, 6 p.; Metadata; Spatial Data","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049223","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":290447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds851.PNG"},{"id":290444,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/lookup/getspatial?ds851_UCRBBaseflow"},{"id":290445,"type":{"id":23,"text":"Spatial Data"},"url":"https://water.usgs.gov/GIS/dsdl/ds851_UCRBBaseflow.gdb.zip","text":"Spatial Data: GIS Database"},{"id":290440,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/851/"},{"id":290443,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/851/pdf/ds851.pdf"},{"id":290446,"rank":2,"type":{"id":23,"text":"Spatial Data"},"url":"https://water.usgs.gov/GIS/dsdl/ds851_UCRBBaseflow_shapefile.zip","text":"Spatial Data: Shapefiles"}],"projection":"Albers Equal Area Conic projection","datum":"North American Datum 1983","country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","county":"Upper Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.69937133789062,\n              36.730079507078415\n            ],\n            [\n              -111.68083190917969,\n              36.730079507078415\n            ],\n            [\n              -111.64581298828125,\n              36.72677751526221\n            ],\n            [\n              -111.4068603515625,\n              36.67723060234619\n            ],\n            [\n              -111.181640625,\n              36.54936246839778\n            ],\n            [\n              -110.45654296875,\n              36.46105407505434\n            ],\n            [\n              -109.8687744140625,\n              35.991340960635405\n            ],\n            [\n              -109.5062255859375,\n              35.67068501330236\n            ],\n            [\n              -109.21508789062499,\n              35.48751102385376\n            ],\n            [\n              -108.907470703125,\n              35.34425514918409\n            ],\n            [\n              -107.5286865234375,\n              35.290468565908775\n            ],\n            [\n              -107.2760009765625,\n              35.28150065789119\n            ],\n            [\n              -107.215576171875,\n              35.31736632923788\n            ],\n            [\n              -107.13317871093749,\n              35.460669951495305\n            ],\n            [\n              -106.9793701171875,\n              35.62604706595698\n            ],\n            [\n              -106.94091796875,\n              35.817813158696616\n            ],\n            [\n              -106.875,\n              36.26199220445664\n            ],\n            [\n              -106.842041015625,\n              36.67723060234619\n            ],\n            [\n              -106.864013671875,\n              37.02886944696474\n            ],\n            [\n              -107.0068359375,\n              37.21283151445594\n            ],\n            [\n              -107.33642578124999,\n              37.37015718405753\n            ],\n            [\n              -107.545166015625,\n              37.55328764595765\n            ],\n            [\n              -107.666015625,\n              37.74465712069939\n            ],\n            [\n              -107.42431640625,\n              37.84883250647402\n            ],\n            [\n              -107.07275390625,\n              37.90953361677018\n            ],\n            [\n              -106.6552734375,\n              38.004819966413194\n            ],\n            [\n              -106.666259765625,\n              38.33303882235456\n            ],\n            [\n              -106.69921875,\n              38.685509760012\n            ],\n            [\n              -106.875,\n              39.13006024213511\n            ],\n            [\n              -106.435546875,\n              39.40224434029275\n            ],\n            [\n              -105.9521484375,\n              39.740986355883564\n            ],\n            [\n              -105.908203125,\n              40.34654412118006\n            ],\n            [\n              -105.99609375,\n              40.613952441166596\n            ],\n            [\n              -106.435546875,\n              40.74725696280421\n            ],\n            [\n              -106.69921875,\n              41.64007838467894\n            ],\n            [\n              -107.57812499999999,\n              42.65012181368025\n            ],\n            [\n              -108.10546875,\n              42.84375132629023\n            ],\n            [\n              -108.8525390625,\n              43.13306116240612\n            ],\n            [\n              -109.423828125,\n              43.197167282501276\n            ],\n            [\n              -109.77539062499999,\n              43.42100882994726\n            ],\n            [\n              -109.9072265625,\n              43.67581809328341\n            ],\n            [\n              -110.3466796875,\n              43.83452678223682\n            ],\n            [\n              -110.61035156249999,\n              43.67581809328341\n            ],\n            [\n              -110.74218749999999,\n              43.13306116240612\n            ],\n            [\n              -110.8740234375,\n              42.19596877629178\n            ],\n            [\n              -111.0498046875,\n              41.44272637767212\n            ],\n            [\n              -111.0498046875,\n              41.19518982948959\n            ],\n            [\n              -111.181640625,\n              41.04621681452063\n            ],\n            [\n              -111.37939453125,\n              40.94671366508002\n            ],\n            [\n              -111.533203125,\n              40.613952441166596\n            ],\n            [\n              -111.73095703125,\n              40.245991504199026\n            ],\n            [\n              -111.884765625,\n              39.8928799002948\n            ],\n            [\n              -111.97265625,\n              39.33429742980725\n            ],\n            [\n              -112.2802734375,\n              39.11301365149975\n            ],\n            [\n              -112.43408203124999,\n              38.856820134743636\n            ],\n            [\n              -112.60986328125,\n              38.59970036588819\n            ],\n            [\n              -112.60986328125,\n              38.376115424036016\n            ],\n            [\n              -112.67578124999999,\n              38.22091976683121\n            ],\n            [\n              -112.8955078125,\n              37.87485339352928\n            ],\n            [\n              -113.02734374999999,\n              37.579412513438385\n            ],\n            [\n              -113.02734374999999,\n              37.26530995561875\n            ],\n            [\n              -112.9833984375,\n              37.00255267215955\n            ],\n            [\n              -112.67578124999999,\n              36.756490329505155\n            ],\n            [\n              -112.34619140625,\n              36.5978891330702\n            ],\n            [\n              -111.97265625,\n              36.56260003738548\n            ],\n            [\n              -111.69937133789062,\n              36.730079507078415\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5edae4b0b290850fbf2d","contributors":{"authors":[{"text":"Garcia, Adriana adrianagarcia@usgs.gov","contributorId":5010,"corporation":false,"usgs":true,"family":"Garcia","given":"Adriana","email":"adrianagarcia@usgs.gov","affiliations":[],"preferred":true,"id":494200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Masbruch, Melissa D. 0000-0001-6568-160X mmasbruch@usgs.gov","orcid":"https://orcid.org/0000-0001-6568-160X","contributorId":1902,"corporation":false,"usgs":true,"family":"Masbruch","given":"Melissa","email":"mmasbruch@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Susong, David D. ddsusong@usgs.gov","contributorId":1040,"corporation":false,"usgs":true,"family":"Susong","given":"David","email":"ddsusong@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494198,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70117071,"text":"70117071 - 2014 - Assessing the link between coastal urbanization and the quality of nekton habitat in mangrove tidal tributaries","interactions":[],"lastModifiedDate":"2014-07-18T09:50:39","indexId":"70117071","displayToPublicDate":"2014-07-18T09:47:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the link between coastal urbanization and the quality of nekton habitat in mangrove tidal tributaries","docAbstract":"To assess the potential influence of coastal development on habitat quality for estuarine nekton, we characterized body condition and reproduction for common nekton from tidal tributaries classified as undeveloped, industrial, urban or man-made (i.e., mosquito-control ditches). We then evaluated these metrics of nekton performance, along with several abundance-based metrics and community structure from a companion paper (Krebs et al. 2013) to determine which metrics best reflected variation in land-use and in-stream habitat among tributaries. Body condition was not significantly different among undeveloped, industrial, and man-made tidal tributaries for six of nine taxa; however, three of those taxa were in significantly better condition in urban compared to undeveloped tributaries. Palaemonetes shrimp were the only taxon in significantly poorer condition in urban tributaries. For Poecilia latipinna, there was no difference in body condition (length–weight) between undeveloped and urban tributaries, but energetic condition was significantly better in urban tributaries. Reproductive output was reduced for both P. latipinna (i.e., fecundity) and grass shrimp (i.e., very low densities, few ovigerous females) in urban tributaries; however a tradeoff between fecundity and offspring size confounded meaningful interpretation of reproduction among land-use classes for P. latipinna. Reproductive allotment by P. latipinna did not differ significantly among land-use classes. Canonical correspondence analysis differentiated urban and non-urban tributaries based on greater impervious surface, less natural mangrove shoreline, higher frequency of hypoxia and lower, more variable salinities in urban tributaries. These characteristics explained 36 % of the variation in nekton performance, including high densities of poeciliid fishes, greater energetic condition of sailfin mollies, and low densities of several common nekton and economically important taxa from urban tributaries. While variation among tributaries in our study can be largely explained by impervious surface beyond the shorelines of the tributary, variation in nekton metrics among non-urban tributaries was better explained by habitat factors within the tributary and along the shorelines. Our results support the paradigm that urban development in coastal areas has the potential to alter habitat quality in small tidal tributaries as reflected by variation in nekton performance among tributaries from representative land-use classes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuaries and Coasts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s12237-013-9724-y","usgsCitation":"Krebs, J.M., Bell, S.S., and McIvor, C.C., 2014, Assessing the link between coastal urbanization and the quality of nekton habitat in mangrove tidal tributaries: Estuaries and Coasts, v. 37, no. 4, p. 832-846, https://doi.org/10.1007/s12237-013-9724-y.","productDescription":"15 p.","startPage":"832","endPage":"846","numberOfPages":"15","ipdsId":"IP-035927","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":290427,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":290425,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12237-013-9724-y"}],"country":"United States","state":"Florida","otherGeospatial":"Tampa Bay Estuary","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.25,27.5 ], [ -82.25,28.0 ], [ -82.75,28.0 ], [ -82.75,27.5 ], [ -82.25,27.5 ] ] ] } } ] }","volume":"37","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-11-08","publicationStatus":"PW","scienceBaseUri":"53cd4e1ae4b0b290850f1e53","contributors":{"authors":[{"text":"Krebs, Justin M.","contributorId":35546,"corporation":false,"usgs":true,"family":"Krebs","given":"Justin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":495917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bell, Susan S.","contributorId":77237,"corporation":false,"usgs":true,"family":"Bell","given":"Susan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":495919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McIvor, Carole C.","contributorId":73254,"corporation":false,"usgs":true,"family":"McIvor","given":"Carole","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":495918,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70116982,"text":"70116982 - 2014 - Surface-groundwater interactions in hard rocks in Sardon Catchment of western Spain: an integrated modeling approach","interactions":[],"lastModifiedDate":"2014-07-22T08:35:45","indexId":"70116982","displayToPublicDate":"2014-07-18T09:34:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Surface-groundwater interactions in hard rocks in Sardon Catchment of western Spain: an integrated modeling approach","docAbstract":"The structural and hydrological complexity of hard rock systems (HRSs) affects dynamics of surface–groundwater interactions. These complexities are not well described or understood by hydrogeologists because simplified analyses typically are used to study HRSs. A transient, integrated hydrologic model (IHM) GSFLOW (Groundwater and Surface water FLOW) was calibrated and post-audited using 18 years of daily groundwater head and stream discharge data to evaluate the surface–groundwater interactions in semi-arid, ∼80 km<sup>2</sup> granitic Sardon hilly catchment in Spain characterized by shallow water table conditions, relatively low storage, dense drainage networks and frequent, high intensity rainfall. The following hydrological observations for the Sardon Catchment, and more generally for HRSs were made: (i) significant bi-directional vertical flows occur between surface water and groundwater throughout the HRSs; (ii) relatively large groundwater recharge represents 16% of precipitation (P, 562 mm.y<sup>−1</sup>) and large groundwater exfiltration (∼11% of P) results in short groundwater flow paths due to a dense network of streams, low permeability and hilly topographic relief; deep, long groundwater flow paths constitute a smaller component of the water budget (∼1% of P); quite high groundwater evapotranspiration (∼5% of P and ∼7% of total evapotranspiration); low permeability and shallow soils are the main reasons for relatively large components of Hortonian flow and interflow (15% and 11% of P, respectively); (iii) the majority of drainage from the catchment leaves as surface water; (iv) declining 18 years trend (4.44 mm.y<sup>−1</sup>) of groundwater storage; and (v) large spatio-temporal variability of water fluxes. This IHM study of HRSs provides greater understanding of these relatively unknown hydrologic systems that are widespread throughout the world and are important for water resources in many regions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2014.05.026","usgsCitation":"Hassan, S.T., Lubczynski, M., Niswonger, R., and Zhongbo, S., 2014, Surface-groundwater interactions in hard rocks in Sardon Catchment of western Spain: an integrated modeling approach: Journal of Hydrology, v. 517, p. 390-410, https://doi.org/10.1016/j.jhydrol.2014.05.026.","productDescription":"21 p.","startPage":"390","endPage":"410","numberOfPages":"21","ipdsId":"IP-052114","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":290424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":290423,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2014.05.026"}],"country":"Spain","otherGeospatial":"Sardon Catchment","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -8.0,40.0 ], [ -8.0,42.0 ], [ -6.0,42.0 ], [ -6.0,40.0 ], [ -8.0,40.0 ] ] ] } } ] }","volume":"517","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd75d2e4b0b2908510a805","contributors":{"authors":[{"text":"Hassan, S.M. Tanvir","contributorId":17919,"corporation":false,"usgs":true,"family":"Hassan","given":"S.M.","email":"","middleInitial":"Tanvir","affiliations":[],"preferred":false,"id":495908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lubczynski, Maciek W.","contributorId":54118,"corporation":false,"usgs":true,"family":"Lubczynski","given":"Maciek W.","affiliations":[],"preferred":false,"id":495911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niswonger, Richard G.","contributorId":45402,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","affiliations":[],"preferred":false,"id":495909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhongbo, Su","contributorId":49276,"corporation":false,"usgs":true,"family":"Zhongbo","given":"Su","email":"","affiliations":[],"preferred":false,"id":495910,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70117068,"text":"70117068 - 2014 - Nekton community structure varies in response to coastal urbanization near mangrove tidal tributaries","interactions":[],"lastModifiedDate":"2014-07-22T08:36:30","indexId":"70117068","displayToPublicDate":"2014-07-18T09:29:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Nekton community structure varies in response to coastal urbanization near mangrove tidal tributaries","docAbstract":"To assess the potential influence of coastal development on estuarine-habitat quality, we characterized land use and the intensity of land development surrounding small tidal tributaries in Tampa Bay. Based on this characterization, we classified tributaries as undeveloped, industrial, urban, or man-made (i.e., mosquito-control ditches). Over one third (37 %) of the tributaries have been heavily developed based on landscape development intensity (LDI) index values >5.0, while fewer than one third (28 %) remain relatively undeveloped (LDI < 3.0). We then examined the nekton community from 11 tributaries in watersheds representing the four defined land-use classes. Whereas mean nekton density was independent of land use, species richness and nekton-community structure were significantly different between urban and non-urban (i.e., undeveloped, industrial, man-made) tributaries. In urban creeks, the community was species-poor and dominated by high densities of poeciliid fishes, Poecilia latipinna and Gambusia holbrooki, while typically dominant estuarine taxa including Menidia spp., Fundulus grandis, and Adinia xenica were in low abundance and palaemonid grass shrimp were nearly absent. Densities of economically important taxa in urban creeks were only half that observed in five of the six undeveloped or industrial creeks, but were similar to those observed in mosquito ditches suggesting that habitat quality in urban and mosquito-ditch tributaries is suboptimal compared to undeveloped tidal creeks. Furthermore, five of nine common taxa were rarely collected in urban creeks. Our results suggest that urban development in coastal areas has the potential to alter the quality of habitat for nekton in small tidal tributaries as reflected by variation in the nekton community.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuaries and Coasts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s12237-013-9726-9","usgsCitation":"Krebs, J.M., McIvor, C.C., and Bell, S.S., 2014, Nekton community structure varies in response to coastal urbanization near mangrove tidal tributaries: Estuaries and Coasts, v. 37, no. 4, p. 815-831, https://doi.org/10.1007/s12237-013-9726-9.","productDescription":"17 p.","startPage":"815","endPage":"831","numberOfPages":"17","ipdsId":"IP-049836","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":290421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":290420,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12237-013-9726-9"}],"country":"United States","state":"Florida","otherGeospatial":"Tampa Bay Estuary","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.75,27.5 ], [ -82.75,28.0 ], [ -82.25,28.0 ], [ -82.25,27.5 ], [ -82.75,27.5 ] ] ] } } ] }","volume":"37","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-10-26","publicationStatus":"PW","scienceBaseUri":"53cd68cce4b0b290851024a7","contributors":{"authors":[{"text":"Krebs, Justin M.","contributorId":35546,"corporation":false,"usgs":true,"family":"Krebs","given":"Justin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":495912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIvor, Carole C.","contributorId":73254,"corporation":false,"usgs":true,"family":"McIvor","given":"Carole","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":495913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bell, Susan S.","contributorId":77237,"corporation":false,"usgs":true,"family":"Bell","given":"Susan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":495914,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70095010,"text":"ds813 - 2014 - Geohydrologic and water-quality data in the vicinity of the Rialto-Colton Fault, San Bernardino, California","interactions":[],"lastModifiedDate":"2014-07-22T08:38:01","indexId":"ds813","displayToPublicDate":"2014-07-18T08:51:00","publicationYear":"2014","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":"813","title":"Geohydrologic and water-quality data in the vicinity of the Rialto-Colton Fault, San Bernardino, California","docAbstract":"<p>The Rialto-Colton Basin is in western San Bernardino County, about 60 miles east of Los Angeles, California. The basin is bounded by faults on the northeast and southwest sides and contains multiple barriers to groundwater flow. The structural geology of the basin leads to complex hydrology. Between 2001 and 2008, in an effort to better understand the complex hydrologic system of the Rialto-Colton Basin, seven multiple-well monitoring sites were constructed. Two to six observation wells were installed in the borehole at each site; a total of 32 observation wells were installed. This report presents geologic, hydrologic, and water-quality data collected from these seven multiple-well monitoring sites.</p>\n<br/>\n<p>Descriptions of the collected drill cuttings were compiled into lithologic logs for each monitoring site. The lithologic logs are summarized along with the geophysical logs, including gamma-ray, spontaneous potential, resistivity, and electromagnetic induction tool logs. At selected sites, sonic tool logs also were recorded. Periodic water-level measurements are reported, and water-level data are displayed on hydrographs. Water levels at multiple-well monitoring sites in the northern part of the study area differed between the shallow and deep observation wells; in the remaining multiple-well monitoring sites, water levels differed little with depth. Along the southern trace of the Rialto-Colton Fault, water levels are slightly higher east of the fault than west of the fault. Selected water-quality data for 21 of the observation wells show water from wells in the northern and central parts of the study area is calcium-carbonate water. In the southern part of the study area, water from wells screened above 400 feet below land surface is of mixed type or is calcium-carbonate water. Water from wells screened greater than 400 feet below land surface in the southern part of the study area is sodium-carbonate or sodium-mixed anion water. Water from most wells in the study area plots above the Global Meteoric Water Line along an apparent local meteoric water line, indicating the water has not experienced substantial evaporation before infiltration. A few samples from shallow wells in the study area plot slightly to the right of the Global Meteoric Water Line, possibly indicating the water experienced some evaporation before recharge.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds813","collaboration":"Prepared in cooperation with the San Bernardino Valley Municipal Water District West Valley Water District","usgsCitation":"Teague, N.F., Brown, A.A., and Woolfenden, L.R., 2014, Geohydrologic and water-quality data in the vicinity of the Rialto-Colton Fault, San Bernardino, California: U.S. Geological Survey Data Series 813, ix, 76 p., https://doi.org/10.3133/ds813.","productDescription":"ix, 76 p.","numberOfPages":"89","onlineOnly":"Y","ipdsId":"IP-037038","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":290411,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/813/pdf/ds813.pdf"},{"id":290404,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/813/"},{"id":290412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds813.jpg"}],"country":"United States","state":"California","city":"San Bernadino","otherGeospatial":"Rialto-colton Fault","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.424317,34.050113 ], [ -117.424317,34.24764 ], [ -117.164972,34.24764 ], [ -117.164972,34.050113 ], [ -117.424317,34.050113 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5b29e4b0b290850f9d4c","contributors":{"authors":[{"text":"Teague, Nicholas F. 0000-0001-5289-1210 nteague@usgs.gov","orcid":"https://orcid.org/0000-0001-5289-1210","contributorId":2145,"corporation":false,"usgs":true,"family":"Teague","given":"Nicholas","email":"nteague@usgs.gov","middleInitial":"F.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":491060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Anthony A. 0000-0001-9925-0197 anbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-9925-0197","contributorId":5125,"corporation":false,"usgs":true,"family":"Brown","given":"Anthony","email":"anbrown@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woolfenden, Linda R. 0000-0003-3500-4709 lrwoolfe@usgs.gov","orcid":"https://orcid.org/0000-0003-3500-4709","contributorId":1476,"corporation":false,"usgs":true,"family":"Woolfenden","given":"Linda","email":"lrwoolfe@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491059,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70111587,"text":"sir20145108 - 2014 - Preliminary geochemical assessment of water in selected streams, springs, and caves in the Upper Baker and Snake Creek drainages in Great Basin National Park, Nevada, 2009","interactions":[],"lastModifiedDate":"2016-07-18T21:44:52","indexId":"sir20145108","displayToPublicDate":"2014-07-18T08:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5108","title":"Preliminary geochemical assessment of water in selected streams, springs, and caves in the Upper Baker and Snake Creek drainages in Great Basin National Park, Nevada, 2009","docAbstract":"<p>Water in caves, discharging from springs, and flowing in streams in the upper Baker and Snake Creek drainages are important natural resources in Great Basin National Park, Nevada. Water and rock samples were collected from 15 sites during February 2009 as part of a series of investigations evaluating the potential for water resource depletion in the park resulting from the current and proposed groundwater withdrawals. This report summarizes general geochemical characteristics of water samples collected from the upper Baker and Snake Creek drainages for eventual use in evaluating possible hydrologic connections between the streams and selected caves and springs discharging in limestone terrain within each watershed.</p><p>Generally, water discharging from selected springs in the upper Baker and Snake Creek watersheds is relatively young and, in some cases, has similar chemical characteristics to water collected from associated streams. In the upper Baker Creek drainage, geochemical data suggest possible hydrologic connections between Baker Creek and selected springs and caves along it. The analytical results for water samples collected from Wheelers Deep and Model Caves show characteristics similar to those from Baker Creek, suggesting a hydrologic connection between the creek and caves, a finding previously documented by other researchers. Generally, geochemical evidence does not support a connection between water flowing in Pole Canyon Creek to that in Model Cave, at least not to any appreciable extent. The water sample collected from Rosethorn Spring had relatively high concentrations of many of the constituents sampled as part of this study. This finding was expected as the water from the spring travelled through alluvium prior to being discharged at the surface and, as a result, was provided the opportunity to interact with soil minerals with which it came into contact. Isotopic evidence does not preclude a connection between Baker Creek and the water discharging from Rosethorn Spring. The residence time of water discharging into the caves and from selected springs sampled as part of this study ranged from 10 to 25 years.</p><p>Within the upper Snake Creek drainage, the results of this study show geochemical similarities between Snake Creek and Outhouse Spring, Spring Creek Spring, and Squirrel Spring Cave. The strontium isotope ratio (<sup>87</sup>Sr/<sup>86</sup>Sr) for intrusive rock samples representative of the Snake Creek drainage were similar to carbonate rock samples. The water sample collected from Snake Creek at the pipeline discharge point had lower strontium concentrations than the sample downstream and a similar <sup>87</sup>Sr/<sup>86</sup>Sr value as the carbonate and intrusive rocks. The chemistry of the water sample was considered representative of upstream conditions in Snake Creek and indicates minimal influence of rock dissolution. The results of this study suggest that water discharging from Outlet Spring is not hydrologically connected to Snake Creek but rather is recharged at high altitude(s) within the Snake Creek drainage. These findings for Outlet Spring largely stem from the relatively high specific conductance and chloride concentration, the lightest deuterium (δD) and oxygen-18 (δ<sup>18</sup>O) values, and the longest calculated residence time (60 to 90 years) relative to any other sample collected as part of this study. With the exception of water sampled from Outlet Spring, the residence time of water discharging into Squirrel Spring Cave and selected springs in the upper Snake Creek drainage was less than 30 years.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145108","collaboration":"In Cooperation with the National Park Service","usgsCitation":"Paul, A.P., Thodal, C.E., Baker, G.M., Lico, M.S., and Prudic, D.E., 2014, Preliminary geochemical assessment of water in selected streams, springs, and caves in the Upper Baker and Snake Creek drainages in Great Basin National Park, Nevada, 2009: U.S. Geological Survey Scientific Investigations Report 2014-5108, viii, 33 p., https://doi.org/10.3133/sir20145108.","productDescription":"viii, 33 p.","numberOfPages":"46","onlineOnly":"Y","ipdsId":"IP-033215","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":290410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145108.jpg"},{"id":290403,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5108/"},{"id":290409,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5108/pdf/sir2014-5108.pdf","text":"Report","size":"2.4 MB","description":"Report"}],"projection":"Universal Transverse Mercator Projection, Zone 11","datum":"North American Datum 1983","country":"United States","state":"Nevada","otherGeospatial":"Baker Creek, Great Basin National Park, Snake Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.400291,38.759973 ], [ -114.400291,39.105288 ], [ -114.020233,39.105288 ], [ -114.020233,38.759973 ], [ -114.400291,38.759973 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6cc2e4b0b29085104c02","contributors":{"authors":[{"text":"Paul, Angela P. 0000-0003-3909-1598 appaul@usgs.gov","orcid":"https://orcid.org/0000-0003-3909-1598","contributorId":2305,"corporation":false,"usgs":true,"family":"Paul","given":"Angela","email":"appaul@usgs.gov","middleInitial":"P.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thodal, Carl E. 0000-0003-0782-3280 cethodal@usgs.gov","orcid":"https://orcid.org/0000-0003-0782-3280","contributorId":2292,"corporation":false,"usgs":true,"family":"Thodal","given":"Carl","email":"cethodal@usgs.gov","middleInitial":"E.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baker, Gretchen M.","contributorId":54894,"corporation":false,"usgs":true,"family":"Baker","given":"Gretchen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":494370,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lico, Michael S.","contributorId":75897,"corporation":false,"usgs":true,"family":"Lico","given":"Michael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":494371,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prudic, David E. deprudic@usgs.gov","contributorId":3430,"corporation":false,"usgs":true,"family":"Prudic","given":"David","email":"deprudic@usgs.gov","middleInitial":"E.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494369,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70116614,"text":"ofr20141147 - 2014 - Publications of the Volcano Hazards Program 2012","interactions":[],"lastModifiedDate":"2019-03-13T08:38:14","indexId":"ofr20141147","displayToPublicDate":"2014-07-17T16:46:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1147","title":"Publications of the Volcano Hazards Program 2012","docAbstract":"<p>The Volcano Hazards Program of the U.S. Geological Survey (USGS) is part of the Geologic Hazards Assessments subactivity, as funded by Congressional appropriation. Investigations are carried out by the USGS and with cooperators at the Alaska Division of Geological and Geophysical Surveys, University of Alaska Fairbanks Geophysical Institute, University of Hawaii Manoa and Hilo, University of Utah, and University of Washington Geophysics Program. This report lists publications from all of these institutions.</p>\n<br/>\n<p>Only published papers and maps are included here; abstracts presented at scientific meetings are omitted. Publication dates are based on year of issue, with no attempt to assign them to a fiscal year.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141147","usgsCitation":"Nathenson, M., 2014, Publications of the Volcano Hazards Program 2012: U.S. Geological Survey Open-File Report 2014-1147, ii, 10 p., https://doi.org/10.3133/ofr20141147.","productDescription":"ii, 10 p.","numberOfPages":"12","onlineOnly":"Y","ipdsId":"IP-056327","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":290402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141147.PNG"},{"id":290401,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1147/pdf/ofr2014-1147.pdf"},{"id":290400,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1147/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6e85e4b0b29085105d5a","contributors":{"authors":[{"text":"Nathenson, Manuel 0000-0002-5216-984X mnathnsn@usgs.gov","orcid":"https://orcid.org/0000-0002-5216-984X","contributorId":1358,"corporation":false,"usgs":true,"family":"Nathenson","given":"Manuel","email":"mnathnsn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":495817,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70116938,"text":"70116938 - 2014 - Temporal variation in fish mercury concentrations within lakes from the western Aleutian Archipelago, Alaska","interactions":[],"lastModifiedDate":"2018-09-18T16:17:48","indexId":"70116938","displayToPublicDate":"2014-07-17T15:28:00","publicationYear":"2014","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":"Temporal variation in fish mercury concentrations within lakes from the western Aleutian Archipelago, Alaska","docAbstract":"We assessed temporal variation in mercury (Hg) concentrations of threespine stickleback (<i>Gasterosteus aculeatus</i>) from Agattu Island, Aleutian Archipelago, Alaska. Total Hg concentrations in whole-bodied stickleback were measured at two-week intervals from two sites in each of two lakes from June 1 to August 10, 2011 during the time period when lakes were ice-free. Across all sites and sampling events, stickleback Hg concentrations ranged from 0.37–1.07 µg/g dry weight (dw), with a mean (± SE) of 0.55±0.01 µg/g dw. Mean fish Hg concentrations declined by 9% during the study period, from 0.57±0.01 µg/g dw in early June to 0.52±0.01 µg/g dw in mid-August. Mean fish Hg concentrations were 6% higher in Loon Lake (0.56±0.01 µg/g dw) than in Lake 696 (0.53±0.01 µg/g dw), and 4% higher in males (0.56±0.01 µg/g dw) than in females (0.54±0.01 µg/g dw). Loon Lake was distinguished from Lake 696 by the presence of piscivorous waterbirds during the breeding season. Mercury concentrations in stickleback from Agattu Island were higher than would be expected for an area without known point sources of Hg pollution, and high enough to be of concern to the health of piscivorous wildlife.","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0102244","usgsCitation":"Kenney, L., Eagles-Smith, C.A., Ackerman, J., and von Hippel, F., 2014, Temporal variation in fish mercury concentrations within lakes from the western Aleutian Archipelago, Alaska: PLoS ONE, v. 9, no. 7, 7 p., https://doi.org/10.1371/journal.pone.0102244.","productDescription":"7 p.","numberOfPages":"7","ipdsId":"IP-051925","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":472870,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0102244","text":"Publisher Index Page"},{"id":290396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":290381,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0102244"}],"country":"United States","state":"Alaska","otherGeospatial":"Agattu Island;Aleutian Archipelago","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.353562,52.352271 ], [ 173.353562,52.513793 ], [ 173.776505,52.513793 ], [ 173.776505,52.352271 ], [ 173.353562,52.352271 ] ] ] } } ] }","volume":"9","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-07-16","publicationStatus":"PW","scienceBaseUri":"53cd768ce4b0b2908510af63","contributors":{"authors":[{"text":"Kenney, Leah A.","contributorId":67011,"corporation":false,"usgs":true,"family":"Kenney","given":"Leah A.","affiliations":[],"preferred":false,"id":495899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":495898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":495901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"von Hippel, Frank A.","contributorId":96599,"corporation":false,"usgs":true,"family":"von Hippel","given":"Frank A.","affiliations":[],"preferred":false,"id":495900,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70114887,"text":"sir20145119 - 2014 - Hydrogeologic framework and groundwater/surface-water interactions of the upper Yakima River Basin, Kittitas County, central Washington","interactions":[],"lastModifiedDate":"2014-07-17T15:11:58","indexId":"sir20145119","displayToPublicDate":"2014-07-17T14:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5119","title":"Hydrogeologic framework and groundwater/surface-water interactions of the upper Yakima River Basin, Kittitas County, central Washington","docAbstract":"<p>The hydrogeology, hydrology, and geochemistry of groundwater and surface water in the upper (western) 860 square miles of the Yakima River Basin in Kittitas County, Washington, were studied to evaluate the groundwater-flow system, occurrence and availability of groundwater, and the extent of groundwater/surface-water interactions. The study area ranged in altitude from 7,960 feet in its headwaters in the Cascade Range to 1,730 feet at the confluence of the Yakima River with Swauk Creek. A west-to-east precipitation gradient exists in the basin with the western, high-altitude headwaters of the basin receiving more than 100 inches of precipitation per year and the eastern, low-altitude part of the basin receiving about 20 inches of precipitation per year. From the early 20th century onward, reservoirs in the upper part of the basin (for example, Keechelus, Kachess, and Cle Elum Lakes) have been managed to store snowmelt for irrigation in the greater Yakima River Basin. Canals transport water from these reservoirs for irrigation in the study area; additional water use is met through groundwater withdrawals from wells and surface-water withdrawals from streams and rivers. Estimated groundwater use for domestic, commercial, and irrigation purposes is reported for the study area.</p>\n<br/>\n<p>A complex assemblage of sedimentary, metamorphic, and igneous bedrock underlies the study area. In a structural basin in the southeastern part of the study area, the bedrock is overlain by unconsolidated sediments of glacial and alluvial origin. Rocks and sediments were grouped into six hydrogeologic units based on their lithologic and hydraulic characteristics. A map of their extent was developed from previous geologic mapping and lithostratigraphic information from drillers’ logs. Water flows through interstitial space in unconsolidated sediments, but largely flows through fractures and other sources of secondary porosity in bedrock. Generalized groundwater-flow directions within the unconfined part of the aquifers in unconsolidated sediments indicate generalized groundwater movement toward the Yakima River and its tributaries and the outlet of the study area.</p>\n<br/>\n<p>Groundwater movement through fractures within the bedrock aquifers is complex and varies over spatial scales depending on the architecture of the fracture-flow system and its hydraulic properties. The complexity of the fracturedbedrock groundwater-flow system is supported by a wide range of groundwater ages determined from geochemical analyses of carbon-14, sulfur hexafluoride, and tritium in groundwater. These geochemical data also indicate that the shallow groundwater system is actively flushing with young, isotopically heavy groundwater, but isotopicallylight, Pleistocene-age groundwater with a geochemicallyevolved composition occurs at depth within the fracturedbedrock aquifers of upper Kittitas County. An eastward depletion of stable isotopes in groundwater is consistent with hydrologically separate subbasins. This suggests that groundwater that recharges in one subbasin is not generally available for withdrawal or discharge into surface-water features within other subbasins. Water budget components were calculated for 11 subbasins using a watershed model and varied based on the climate, land uses, and geology of the subbasin.</p>\n<br/>\n<p>Synoptic streamflow measurements made in August 2011 indicate that groundwater discharges into several tributaries of the Yakima River with several losses of streamflow measured where the streams exit bedrock uplands and flow over unconsolidated sediments. Profiles of stream temperature during late summer suggest cool groundwater inflow over discrete sections of streams. This groundwater/surfacewater connection is further supported by the stable-isotope composition of stream water, which reflects the local stableisotope composition of groundwater measured at some wells and springs.</p>\n<br/>\n<p>Collectively, these hydrogeologic, hydrologic, and geochemical data support a framework for evaluating the potential effects of future groundwater appropriations on senior surface-water and groundwater rights and streamflows. Although total pumping rates in upper Kittitas County of about 3.5 cubic feet per second are small relative to other components of the water budget, the magnitude, timing, and location of withdrawals may have important effects on the hydrologic system. The heterogeneous and variably fractured bedrock in the study area precluded a detailed evaluation of localized effects of pumping, but several generalizations about the groundwater and surface-water systems can be made. These generalizations include evidence for the continuity between the groundwater and surface-water system apparent from synoptic streamflow measurements, stream-temperature profiles, and stable-isotope data of groundwater and surface waters.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145119","collaboration":"Prepared in cooperation with the Washington State Department of Ecology and Kittitas County","usgsCitation":"Gendaszek, A.S., Ely, D.M., Hinkle, S.R., Kahle, S.C., and Welch, W.B., 2014, Hydrogeologic framework and groundwater/surface-water interactions of the upper Yakima River Basin, Kittitas County, central Washington: U.S. Geological Survey Scientific Investigations Report 2014-5119, Report: viii, 65 p.; 2 Plates: 24.81 x 19.87 inches and 32.18 x 17.90 inches, https://doi.org/10.3133/sir20145119.","productDescription":"Report: viii, 65 p.; 2 Plates: 24.81 x 19.87 inches and 32.18 x 17.90 inches","numberOfPages":"78","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-043573","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":290395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145119.jpg"},{"id":290394,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5119/pdf/sir20145119_Plate02.pdf"},{"id":290391,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5119/"},{"id":290392,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5119/pdf/sir2014-5119.pdf"},{"id":290393,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5119/pdf/sir20145119_Plate01.pdf"}],"projection":"NSRS2007 Universal Transverse Mercator Zone 10N","datum":"North American Datum 1983 NSR2007","country":"United States","state":"Washington","county":"Kittitas County","otherGeospatial":"Yakima River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.5,47.083333 ], [ -121.5,47.583333 ], [ -120.5,47.583333 ], [ -120.5,47.083333 ], [ -121.5,47.083333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd610be4b0b290850fd4f0","contributors":{"authors":[{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986 agendasz@usgs.gov","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":3509,"corporation":false,"usgs":true,"family":"Gendaszek","given":"Andrew","email":"agendasz@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ely, D. Matthew","contributorId":100052,"corporation":false,"usgs":true,"family":"Ely","given":"D.","email":"","middleInitial":"Matthew","affiliations":[],"preferred":false,"id":495440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinkle, Stephen R. srhinkle@usgs.gov","contributorId":1171,"corporation":false,"usgs":true,"family":"Hinkle","given":"Stephen","email":"srhinkle@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495436,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kahle, Sue C. 0000-0003-1262-4446 sckahle@usgs.gov","orcid":"https://orcid.org/0000-0003-1262-4446","contributorId":3096,"corporation":false,"usgs":true,"family":"Kahle","given":"Sue","email":"sckahle@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495438,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Welch, Wendy B. wwelch@usgs.gov","contributorId":1645,"corporation":false,"usgs":true,"family":"Welch","given":"Wendy","email":"wwelch@usgs.gov","middleInitial":"B.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":495437,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70116939,"text":"70116939 - 2014 - Mercury bioaccumulation in estuarine wetland fishes: Evaluating habitats and risk to coastal wildlife","interactions":[],"lastModifiedDate":"2018-09-14T15:12:28","indexId":"70116939","displayToPublicDate":"2014-07-17T14:51:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Mercury bioaccumulation in estuarine wetland fishes: Evaluating habitats and risk to coastal wildlife","docAbstract":"Estuaries are globally important areas for methylmercury bioaccumulation because of high methylmercury production rates and use by fish and wildlife. We measured total mercury (THg) concentrations in ten fish species from 32 wetland and open bay sites in San Francisco Bay Estuary (2005–2008). Fish THg concentrations (μg/g dry weight ± standard error) differed by up to 7.4× among estuary habitats. Concentrations were lowest in open bay (0.17 ± 0.02) and tidal wetlands (0.42 ± 0.02), and highest in managed seasonal saline wetlands (1.27 ± 0.05) and decommissioned high salinity salt ponds (1.14 ± 0.07). Mercury also differed among fishes, with Mississippi silversides (0.87 ± 0.03) having the highest and longjaw mudsuckers (0.37 ± 0.01) the lowest concentrations. Overall, 26% and 12% of fish exceeded toxicity benchmarks for fish (0.20 μg/g wet weight) and piscivorous bird (0.30 μg/g wet weight) health, respectively. Our results suggest that despite managed wetlands' limited abundance within estuaries, they may be disproportionately important habitats of Hg risk to coastal wildlife.","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2014.06.015","usgsCitation":"Eagles-Smith, C.A., and Ackerman, J., 2014, Mercury bioaccumulation in estuarine wetland fishes: Evaluating habitats and risk to coastal wildlife: Environmental Pollution, v. 193, p. 147-155, https://doi.org/10.1016/j.envpol.2014.06.015.","productDescription":"9 p.","startPage":"147","endPage":"155","numberOfPages":"9","ipdsId":"IP-055218","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":290390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay Estuary","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.5101,37.4081 ], [ -122.5101,38.1442 ], [ -121.9281,38.1442 ], [ -121.9281,37.4081 ], [ -122.5101,37.4081 ] ] ] } } ] }","volume":"193","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6696e4b0b29085100d86","chorus":{"doi":"10.1016/j.envpol.2014.06.015","url":"http://dx.doi.org/10.1016/j.envpol.2014.06.015","publisher":"Elsevier BV","authors":"Eagles-Smith Collin A., Ackerman Joshua T.","journalName":"Environmental Pollution","publicationDate":"10/2014","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":495903,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70110744,"text":"fs20143051 - 2014 - Hydrologic enforcement of lidar DEMs","interactions":[],"lastModifiedDate":"2014-07-17T11:58:13","indexId":"fs20143051","displayToPublicDate":"2014-07-17T11:54:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3051","title":"Hydrologic enforcement of lidar DEMs","docAbstract":"Hydrologic-enforcement (hydro-enforcement) of light detection and ranging (lidar)-derived digital elevation models (DEMs) modifies the elevations of artificial impediments (such as road fills or railroad grades) to simulate how man-made drainage structures such as culverts or bridges allow continuous downslope flow. Lidar-derived DEMs contain an extremely high level of topographic detail; thus, hydro-enforced lidar-derived DEMs are essential to the U.S. Geological Survey (USGS) for complex modeling of riverine flow. The USGS Coastal and Marine Geology Program (CMGP) is integrating hydro-enforced lidar-derived DEMs (land elevation) and lidar-derived bathymetry (water depth) to enhance storm surge modeling in vulnerable coastal zones.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143051","collaboration":"Coastal and Marine Geology Program","usgsCitation":"Poppenga, S.K., Worstell, B.B., Danielson, J.J., Brock, J., Evans, G.A., and Heidemann, H., 2014, Hydrologic enforcement of lidar DEMs: U.S. Geological Survey Fact Sheet 2014-3051, 4 p., https://doi.org/10.3133/fs20143051.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","ipdsId":"IP-055624","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":290359,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143051.jpg"},{"id":290358,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3051/pdf/fs2014-3051.pdf"},{"id":290357,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3051/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6184e4b0b290850fd95a","contributors":{"authors":[{"text":"Poppenga, Sandra K. 0000-0002-2846-6836","orcid":"https://orcid.org/0000-0002-2846-6836","contributorId":84465,"corporation":false,"usgs":true,"family":"Poppenga","given":"Sandra","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":494135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Worstell, Bruce B. 0000-0001-8927-3336 worstell@usgs.gov","orcid":"https://orcid.org/0000-0001-8927-3336","contributorId":1815,"corporation":false,"usgs":true,"family":"Worstell","given":"Bruce","email":"worstell@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":494130,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X daniels@usgs.gov","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":3996,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"daniels@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":494133,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":494131,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evans, Gayla A. 0000-0001-5072-4232 gevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-4232","contributorId":3125,"corporation":false,"usgs":true,"family":"Evans","given":"Gayla","email":"gevans@usgs.gov","middleInitial":"A.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":494132,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heidemann, H. Karl 0000-0003-4306-359X","orcid":"https://orcid.org/0000-0003-4306-359X","contributorId":41750,"corporation":false,"usgs":true,"family":"Heidemann","given":"H. Karl","affiliations":[],"preferred":false,"id":494134,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70116825,"text":"70116825 - 2014 - High diet overlap between native small-bodied fishes and nonnative fathead minnow in the Colorado River, Grand Canyon, Arizona","interactions":[],"lastModifiedDate":"2017-10-12T15:07:48","indexId":"70116825","displayToPublicDate":"2014-07-17T10:16:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"High diet overlap between native small-bodied fishes and nonnative fathead minnow in the Colorado River, Grand Canyon, Arizona","docAbstract":"River regulation may mediate the interactions among native and nonnative species, potentially favoring nonnative species and contributing to the decline of native populations. We examined food resource use and diet overlap among small-bodied fishes in the Grand Canyon section of the Colorado River as a first step in evaluating potential resource competition. We compared the diets of the predominant small-bodied fishes (native Speckled Dace <i>Rhinichthys osculus</i>, juvenile Flannelmouth Sucker <i>Catostomus latipinnis</i>, and juvenile Bluehead Sucker <i>C. discobolus</i>, and nonnative Fathead Minnow <i>Pimephales promelas</i>) across seasons at four sites downstream of Glen Canyon Dam using nonmetric multidimensional scaling and Schoener's similarity index. The diets of these fishes included diatoms, amorphous detritus, aquatic invertebrates (especially simuliid and chironomid larvae), terrestrial invertebrates, and terrestrial vegetation. Diets varied with season and were affected by high turbidity. Fish consumed more amorphous detritus and terrestrial vegetation during the summer monsoon season (July–September), when turbidity was higher. The diets of all species overlapped, but there was large variation in the degree of overlap. The diets of juvenile suckers and Fathead Minnows were most similar, while Speckled Dace had relatively distinct diets. The differences took the form of higher proportions of diatoms and amorphous detritus in the diets of Bluehead Suckers and Fathead Minnows and higher proportions of simuliids and chironomids in those of Speckled Dace. If food resources are or become limiting, diet overlap suggests that competition may occur among native and nonnative species, which could have implications for the population dynamics of these fishes and for the management of the Colorado River ecosystem in Grand Canyon.","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2014.901250","usgsCitation":"Seegert, S., Rosi-Marshall, E.J., Baxter, C., Kennedy, T., Hall, R., and Cross, W.F., 2014, High diet overlap between native small-bodied fishes and nonnative fathead minnow in the Colorado River, Grand Canyon, Arizona: Transactions of the American Fisheries Society, v. 143, no. 4, p. 1072-1083, https://doi.org/10.1080/00028487.2014.901250.","productDescription":"12 p.","startPage":"1072","endPage":"1083","ipdsId":"IP-044783","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":472871,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/High_Diet_Overlap_between_Native_Small-Bodied_Fishes_and_Nonnative_Fathead_Minnow_in_the_Colorado_River_Grand_Canyon_Arizona/5488351","text":"External Repository"},{"id":290350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.3085,35.3999 ], [ -114.3085,37.5969 ], [ -110.8172,37.5969 ], [ -110.8172,35.3999 ], [ -114.3085,35.3999 ] ] ] } } ] }","volume":"143","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-07-02","publicationStatus":"PW","scienceBaseUri":"53cd607be4b0b290850fcf3f","contributors":{"authors":[{"text":"Seegert, Sarah E. Zahn","contributorId":7627,"corporation":false,"usgs":true,"family":"Seegert","given":"Sarah E. Zahn","affiliations":[],"preferred":false,"id":495870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosi-Marshall, Emma J.","contributorId":17722,"corporation":false,"usgs":true,"family":"Rosi-Marshall","given":"Emma","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":495871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baxter, Colden V.","contributorId":47334,"corporation":false,"usgs":false,"family":"Baxter","given":"Colden V.","affiliations":[{"id":13656,"text":"Idaho State Univ.","active":true,"usgs":false}],"preferred":false,"id":495872,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, Theodore A. 0000-0003-3477-3629","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":50227,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":495873,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hall, Robert O. Jr.","contributorId":104182,"corporation":false,"usgs":true,"family":"Hall","given":"Robert O.","suffix":"Jr.","affiliations":[],"preferred":false,"id":495875,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cross, Wyatt F.","contributorId":70881,"corporation":false,"usgs":true,"family":"Cross","given":"Wyatt","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":495874,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70175226,"text":"70175226 - 2014 - Demographic monitoring and population viability analysis of two rare beardtongues from the Uinta Basin","interactions":[],"lastModifiedDate":"2021-01-04T15:36:46.692309","indexId":"70175226","displayToPublicDate":"2014-07-17T10:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Demographic monitoring and population viability analysis of two rare beardtongues from the Uinta Basin","docAbstract":"<p><span>Energy development, in combination with other environmental stressors, poses a persistent threat to rare species endemic to energy-producing regions of the western United States. Demographic analyses of monitored populations can provide key information on the natural dynamics of threatened plant and animal populations and how these dynamics might be affected by present and future development. In the Uinta Basin in Utah and Colorado, Graham's beardtongue (</span><i>Penstemon grahamii</i><span>) and White River beardtongue (</span><i>Penstemon scariosus</i><span>&nbsp;var.&nbsp;</span><i>albifluvis</i><span>) are 2 rare endemic wildflowers that persist on oil shale habitats that are heavily impacted by current energy exploration and development and are slated for expanded traditional drilling and oil shale development. We described demographic characteristics and population viability for 2 populations of each species that have been monitored since 2004. First, we measured population size, survival rates, transitions between life stages, and recruitment by using individually marked plants at the 4 study areas. We then used matrix population models to determine stochastic population growth rates (λ) and the probability that each population would persist 50 years into the future, given current conditions. The 2&nbsp;</span><i>P. grahamii</i><span>&nbsp;study plots had small populations, averaging 70 adult plants, and relatively constant and high survival in both vegetative and flowering plants. The 2&nbsp;</span><i>P. scariosus</i><span>&nbsp;var.&nbsp;</span><i>albifluvis</i><span>&nbsp;study plots had populations that averaged 120 adult plants, with high and stable survival in flowering plants and variable survival in vegetative plants. Recruitment of new seedlings into all populations was low and variable, with most recruitment occurring in one or 2 years. Both&nbsp;</span><i>P. grahamii</i><span>&nbsp;populations had λ near 1.0 (stable). One&nbsp;</span><i>P. scariosus</i><span>&nbsp;var.&nbsp;</span><i>albifluvis</i><span>&nbsp;population appeared to be declining (λ = 0.97), whereas the other was increasing (λ = 1.16). Our analyses reveal populations that appear relatively stable, but that are susceptible to declines now and into the future. Increases in environmental variability, deterministic changes in habitat conditions or stressors, or a single catastrophic event could all have immediately deleterious impacts on the long-term growth trajectory of these populations.</span></p>","language":"English","publisher":"M.L. Bean Museum","publisherLocation":"Provo, UT","doi":"10.3398/064.074.0302","usgsCitation":"McCaffery, R., Reisor, R., Irvine, K.M., and Brunson, J., 2014, Demographic monitoring and population viability analysis of two rare beardtongues from the Uinta Basin: Western North American Naturalist, v. 74, no. 3, p. 257-274, https://doi.org/10.3398/064.074.0302.","productDescription":"18 p.","startPage":"257","endPage":"274","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-048882","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":487786,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol74/iss3/1","text":"External Repository"},{"id":326010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Uinta Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.060791015625,\n              38.14751758025121\n            ],\n            [\n              -109.05029296875,\n              38.14751758025121\n            ],\n            [\n              -109.05029296875,\n              40.95501133048621\n            ],\n            [\n              -111.060791015625,\n              40.95501133048621\n            ],\n            [\n              -111.060791015625,\n              38.14751758025121\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"74","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a315bde4b006cb45558a4c","contributors":{"authors":[{"text":"McCaffery, Rebecca M.","contributorId":57364,"corporation":false,"usgs":true,"family":"McCaffery","given":"Rebecca M.","affiliations":[],"preferred":false,"id":644418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reisor, Rita","contributorId":173368,"corporation":false,"usgs":false,"family":"Reisor","given":"Rita","email":"","affiliations":[{"id":27215,"text":"Red Butte Garden and Arboretum","active":true,"usgs":false}],"preferred":false,"id":644419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":644417,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brunson, Jessi","contributorId":173369,"corporation":false,"usgs":false,"family":"Brunson","given":"Jessi","email":"","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":644420,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70108343,"text":"ofr20141091 - 2014 - Documentation for the 2014 update of the United States national seismic hazard maps","interactions":[],"lastModifiedDate":"2016-02-08T12:12:27","indexId":"ofr20141091","displayToPublicDate":"2014-07-17T08:46:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1091","title":"Documentation for the 2014 update of the United States national seismic hazard maps","docAbstract":"<p>The national seismic hazard maps for the conterminous United States have been updated to account for new methods, models, and data that have been obtained since the 2008 maps were released (Petersen and others, 2008). The input models are improved from those implemented in 2008 by using new ground motion models that have incorporated about twice as many earthquake strong ground shaking data and by incorporating many additional scientific studies that indicate broader ranges of earthquake source and ground motion models. These time-independent maps are shown for 2-percent and 10-percent probability of exceedance in 50 years for peak horizontal ground acceleration as well as 5-hertz and 1-hertz spectral accelerations with 5-percent damping on a uniform firm rock site condition (760 meters per second shear wave velocity in the upper 30 m, V<sub>S30</sub>). In this report, the 2014 updated maps are compared with the 2008 version of the maps and indicate changes of plus or minus 20 percent over wide areas, with larger changes locally, caused by the modifications to the seismic source and ground motion inputs.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141091","usgsCitation":"Petersen, M.D., Moschetti, M.P., Powers, P.M., Mueller, C.S., Haller, K., Frankel, A.D., Zeng, Y., Rezaeian, S., Harmsen, S., Boyd, O.S., Field, E., Chen, R., Rukstales, K.S., Luco, N., Wheeler, R.L., Williams, R., and Olsen, A.H., 2014, Documentation for the 2014 update of the United States national seismic hazard maps: U.S. Geological Survey Open-File Report 2014-1091, xii, 243 p., https://doi.org/10.3133/ofr20141091.","productDescription":"xii, 243 p.","numberOfPages":"255","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-052282","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":438751,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9P77LGZ","text":"USGS data release","linkHelpText":"Data Release for the 2014 National Seismic Hazard Model for the Conterminous U.S."},{"id":290345,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141091.jpg"},{"id":290344,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1091/pdf/ofr2014-1091.pdf","text":"Report","size":"113 MB","linkFileType":{"id":1,"text":"pdf"},"description":"ofr 20141091"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.31054687499999,\n              49.03786794532644\n            ],\n            [\n              -95.1416015625,\n              49.06666839558117\n            ],\n            [\n              -95.1416015625,\n              49.439556958940855\n            ],\n            [\n              -94.833984375,\n              49.439556958940855\n            ],\n            [\n              -94.4384765625,\n              48.83579746243093\n            ],\n            [\n              -92.373046875,\n              48.60385760823255\n            ],\n            [\n              -91.5380859375,\n              48.28319289548349\n            ],\n            [\n              -90.615234375,\n              48.3416461723746\n            ],\n            [\n              -89.4287109375,\n              48.16608541901253\n            ],\n            [\n              -88.330078125,\n              48.37084770238363\n            ],\n            [\n              -84.7705078125,\n              46.92025531537451\n            ],\n            [\n              -84.5947265625,\n              46.58906908309182\n            ],\n            [\n              -84.287109375,\n              46.619261036171515\n            ],\n            [\n              -83.9794921875,\n              46.37725420510028\n            ],\n            [\n              -83.7158203125,\n              46.195042108660154\n            ],\n            [\n              -83.408203125,\n              46.10370875598026\n            ],\n            [\n              -83.4521484375,\n              45.85941212790755\n            ],\n            [\n              -82.44140625,\n              45.398449976304086\n            ],\n            [\n              -81.9580078125,\n              43.54854811091286\n            ],\n            [\n              -83.056640625,\n              42.032974332441405\n            ],\n            [\n              -82.6611328125,\n              41.77131167976407\n            ],\n            [\n              -81.298828125,\n              42.261049162113856\n            ],\n            [\n              -80.4638671875,\n              42.32606244456202\n            ],\n            [\n              -78.8818359375,\n              43.004647127794435\n            ],\n            [\n              -79.27734374999999,\n              43.45291889355468\n            ],\n            [\n              -78.79394531249999,\n              43.739352079154706\n            ],\n            [\n              -76.86035156249999,\n              43.70759350405294\n            ],\n            [\n              -74.92675781249999,\n              45.058001435398296\n            ],\n            [\n              -71.630859375,\n              45.089035564831015\n            ],\n            [\n              -70.7080078125,\n              45.460130637921004\n            ],\n            [\n              -70.09277343749999,\n              46.6795944656402\n            ],\n            [\n              -69.3017578125,\n              47.487513008956554\n            ],\n            [\n              -68.90625,\n              47.30903424774781\n            ],\n            [\n              -68.203125,\n              47.42808726171425\n            ],\n            [\n              -67.7197265625,\n              47.15984001304432\n            ],\n            [\n              -67.6318359375,\n              45.9511496866914\n            ],\n            [\n              -66.796875,\n              44.84029065139799\n            ],\n            [\n              -68.2470703125,\n              44.08758502824518\n            ],\n            [\n              -69.9169921875,\n              43.61221676817573\n            ],\n            [\n              -70.5322265625,\n              43.068887774169625\n            ],\n            [\n              -70.48828125,\n              42.61779143282346\n            ],\n            [\n              -70.48828125,\n              42.13082130188811\n            ],\n            [\n              -70.3564453125,\n              41.96765920367816\n            ],\n            [\n              -70.3125,\n              42.293564192170095\n            ],\n            [\n              -69.78515625,\n              41.96765920367816\n            ],\n            [\n              -69.697265625,\n              41.409775832009565\n            ],\n            [\n              -70.13671875,\n              41.07935114946899\n            ],\n            [\n              -71.4111328125,\n              41.178653972331674\n            ],\n            [\n              -71.8505859375,\n              41.178653972331674\n            ],\n            [\n              -71.7626953125,\n              40.78054143186031\n            ],\n            [\n              -73.47656249999999,\n              40.51379915504413\n            ],\n            [\n              -74.00390625,\n              40.54720023441049\n            ],\n            [\n              -73.740234375,\n              40.07807142745009\n            ],\n            [\n              -74.3115234375,\n              39.26628442213066\n            ],\n            [\n              -74.8388671875,\n              38.89103282648849\n            ],\n            [\n              -75.146484375,\n              39.13006024213511\n            ],\n            [\n              -75.3662109375,\n              39.198205348894795\n            ],\n            [\n              -74.8388671875,\n              38.5825261593533\n            ],\n            [\n              -75.146484375,\n              37.82280243352756\n            ],\n            [\n              -75.7177734375,\n              37.19533058280065\n            ],\n            [\n              -75.5419921875,\n              36.5978891330702\n            ],\n            [\n              -75.1025390625,\n              35.85343961959182\n            ],\n            [\n              -76.4208984375,\n              34.488447837809304\n            ],\n            [\n              -78.046875,\n              33.7243396617476\n            ],\n            [\n              -78.662109375,\n              33.687781758439364\n            ],\n            [\n              -79.541015625,\n              32.657875736955305\n            ],\n            [\n              -81.123046875,\n              31.615965936476076\n            ],\n            [\n              -81.03515625,\n              29.99300228455108\n            ],\n            [\n              -80.37597656249999,\n              28.459033019728043\n            ],\n            [\n              -80.2001953125,\n              27.761329874505233\n            ],\n            [\n              -79.7607421875,\n              26.667095801104814\n            ],\n            [\n              -79.8486328125,\n              25.720735134412106\n            ],\n            [\n              -80.15625,\n              24.926294766395593\n            ],\n            [\n              -81.0791015625,\n              24.407137917727653\n            ],\n            [\n              -82.2216796875,\n              24.407137917727653\n            ],\n            [\n              -82.1337890625,\n              24.886436490787712\n            ],\n            [\n              -81.5185546875,\n              25.045792240303445\n            ],\n            [\n              -81.5185546875,\n              25.48295117535531\n            ],\n            [\n              -82.1337890625,\n              26.15543796871355\n            ],\n            [\n              -82.529296875,\n              26.745610382199022\n            ],\n            [\n              -83.0126953125,\n              27.566721430409707\n            ],\n            [\n              -83.0126953125,\n              28.536274512989916\n            ],\n            [\n              -83.4521484375,\n              29.49698759653577\n            ],\n            [\n              -83.9794921875,\n              30.06909396443887\n            ],\n            [\n              -84.638671875,\n              29.76437737516313\n            ],\n            [\n              -85.25390625,\n              29.611670115197406\n            ],\n            [\n              -86.2646484375,\n              30.14512718337613\n            ],\n            [\n              -87.1875,\n              30.259067203213018\n            ],\n            [\n              -87.890625,\n              30.14512718337613\n            ],\n            [\n              -88.5498046875,\n              30.334953881988564\n            ],\n            [\n              -89.296875,\n              30.29701788337205\n            ],\n            [\n              -89.296875,\n              30.06909396443887\n            ],\n            [\n              -89.2529296875,\n              29.611670115197406\n            ],\n            [\n              -89.033203125,\n              29.267232865200878\n            ],\n            [\n              -88.9892578125,\n              28.998531814051795\n            ],\n            [\n              -89.5166015625,\n              29.152161283318915\n            ],\n            [\n              -89.82421875,\n              29.152161283318915\n            ],\n            [\n              -90.263671875,\n              29.036960648558267\n            ],\n            [\n              -90.9228515625,\n              28.998531814051795\n            ],\n            [\n              -91.49414062499999,\n              29.075375179558346\n            ],\n            [\n              -91.4501953125,\n              29.49698759653577\n            ],\n            [\n              -91.8017578125,\n              29.38217507514529\n            ],\n            [\n              -92.28515625,\n              29.49698759653577\n            ],\n            [\n              -92.98828125,\n              29.649868677972304\n            ],\n            [\n              -94.21875,\n              29.6880527498568\n            ],\n            [\n              -94.658203125,\n              29.34387539941801\n            ],\n            [\n              -95.49316406249999,\n              28.690587654250685\n            ],\n            [\n              -96.6796875,\n              28.110748760633534\n            ],\n            [\n              -97.119140625,\n              27.488781168937997\n            ],\n            [\n              -97.03125,\n              26.58852714730864\n            ],\n            [\n              -96.94335937499999,\n              25.958044673317843\n            ],\n            [\n              -97.294921875,\n              25.839449402063185\n            ],\n            [\n              -99.052734375,\n              26.23430203240673\n            ],\n            [\n              -99.580078125,\n              26.78484736105119\n            ],\n            [\n              -99.7119140625,\n              27.332735136859146\n            ],\n            [\n              -100.01953125,\n              27.955591004642553\n            ],\n            [\n              -100.5908203125,\n              28.8831596093235\n            ],\n            [\n              -101.2060546875,\n              29.49698759653577\n            ],\n            [\n              -101.953125,\n              29.76437737516313\n            ],\n            [\n              -102.4365234375,\n              29.649868677972304\n            ],\n            [\n              -103.0078125,\n              29.036960648558267\n            ],\n            [\n              -104.1064453125,\n              29.38217507514529\n            ],\n            [\n              -104.80957031249999,\n              30.107117887092382\n            ],\n            [\n              -104.9853515625,\n              30.713503990354965\n            ],\n            [\n              -106.4794921875,\n              31.690781806136822\n            ],\n            [\n              -108.19335937499999,\n              31.80289258670676\n            ],\n            [\n              -108.3251953125,\n              31.316101383495624\n            ],\n            [\n              -110.9619140625,\n              31.27855085894653\n            ],\n            [\n              -114.873046875,\n              32.43561304116276\n            ],\n            [\n              -114.873046875,\n              32.76880048488168\n            ],\n            [\n              -117.158203125,\n              32.47269502206151\n            ],\n            [\n              -117.333984375,\n              32.95336814579932\n            ],\n            [\n              -117.6416015625,\n              33.284619968887675\n            ],\n            [\n              -118.16894531249999,\n              33.578014746143985\n            ],\n            [\n              -118.2568359375,\n              33.17434155100208\n            ],\n            [\n              -119.091796875,\n              33.17434155100208\n            ],\n            [\n              -120.0146484375,\n              33.284619968887675\n            ],\n            [\n              -120.673828125,\n              34.27083595165\n            ],\n            [\n              -120.7177734375,\n              34.84987503195418\n            ],\n            [\n              -122.08007812499999,\n              36.4566360115962\n            ],\n            [\n              -122.73925781250001,\n              37.23032838760387\n            ],\n            [\n              -123.04687499999999,\n              38.09998264736481\n            ],\n            [\n              -123.837890625,\n              39.027718840211605\n            ],\n            [\n              -124.365234375,\n              40.04443758460859\n            ],\n            [\n              -124.5849609375,\n              40.64730356252251\n            ],\n            [\n              -124.3212890625,\n              41.60722821271717\n            ],\n            [\n              -124.71679687499999,\n              42.74701217318067\n            ],\n            [\n              -124.3212890625,\n              43.866218006556394\n            ],\n            [\n              -124.01367187499999,\n              45.336701909968106\n            ],\n            [\n              -124.27734374999999,\n              46.98025235521883\n            ],\n            [\n              -124.8046875,\n              47.98992166741417\n            ],\n            [\n              -124.8046875,\n              48.40003249610685\n            ],\n            [\n              -123.662109375,\n              48.3416461723746\n            ],\n            [\n              -123.26660156249999,\n              48.40003249610685\n            ],\n            [\n              -123.22265625000001,\n              48.777912755501845\n            ],\n            [\n              -123.31054687499999,\n              49.03786794532644\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd55b6e4b0b290850f6779","contributors":{"authors":[{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":494005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":494011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powers, Peter M. pmpowers@usgs.gov","contributorId":4434,"corporation":false,"usgs":true,"family":"Powers","given":"Peter","email":"pmpowers@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":494014,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mueller, Charles S. 0000-0002-1868-9710 cmueller@usgs.gov","orcid":"https://orcid.org/0000-0002-1868-9710","contributorId":955,"corporation":false,"usgs":true,"family":"Mueller","given":"Charles","email":"cmueller@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":494003,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haller, Kathleen M. haller@usgs.gov","contributorId":1331,"corporation":false,"usgs":true,"family":"Haller","given":"Kathleen M.","email":"haller@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":494007,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":1363,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":494009,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zeng, Yuehua zeng@usgs.gov","contributorId":1623,"corporation":false,"usgs":true,"family":"Zeng","given":"Yuehua","email":"zeng@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":494010,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rezaeian, Sanaz 0000-0001-7589-7893 srezaeian@usgs.gov","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":4395,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","email":"srezaeian@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":494013,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Harmsen, Stephen C. harmsen@usgs.gov","contributorId":1795,"corporation":false,"usgs":true,"family":"Harmsen","given":"Stephen C.","email":"harmsen@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":494012,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Boyd, Oliver S. olboyd@usgs.gov","contributorId":956,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":494004,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":1165,"corporation":false,"usgs":true,"family":"Field","given":"Edward H.","email":"field@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":494006,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Chen, Rui","contributorId":78250,"corporation":false,"usgs":true,"family":"Chen","given":"Rui","affiliations":[],"preferred":false,"id":494017,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rukstales, Kenneth S. 0000-0003-2818-078X rukstales@usgs.gov","orcid":"https://orcid.org/0000-0003-2818-078X","contributorId":775,"corporation":false,"usgs":true,"family":"Rukstales","given":"Kenneth","email":"rukstales@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":494001,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Luco, Nico","contributorId":8388,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","affiliations":[],"preferred":false,"id":494016,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wheeler, Russell L. wheeler@usgs.gov","contributorId":858,"corporation":false,"usgs":true,"family":"Wheeler","given":"Russell","email":"wheeler@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":false,"id":494002,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Williams, Robert A. rawilliams@usgs.gov","contributorId":1357,"corporation":false,"usgs":true,"family":"Williams","given":"Robert A.","email":"rawilliams@usgs.gov","affiliations":[{"id":301,"text":"Geologic Hazards Team","active":false,"usgs":true}],"preferred":false,"id":494008,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Olsen, Anna H. aolsen@usgs.gov","contributorId":4703,"corporation":false,"usgs":true,"family":"Olsen","given":"Anna","email":"aolsen@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":494015,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70114919,"text":"ds864 - 2014 - Site-characteristic and hydrologic data for selected wells and springs on Federal land in Clark County, Nevada","interactions":[],"lastModifiedDate":"2014-07-17T08:44:50","indexId":"ds864","displayToPublicDate":"2014-07-17T08:39:00","publicationYear":"2014","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":"864","title":"Site-characteristic and hydrologic data for selected wells and springs on Federal land in Clark County, Nevada","docAbstract":"Site-characteristic and hydrologic data for selected wells and springs on U.S. Bureau of Land Management, National Park Service, U.S. Fish and Wildlife Service, and U.S. Forest Service land in Clark County, Nevada, were updated in the U.S. Geological Survey’s National Water Information System (NWIS) to facilitate multi-agency research. Data were researched and reviewed, sites were visited, and NWIS data were updated for 231 wells and 198 springs, including 36 wells and 67 springs that were added to NWIS and 44 duplicate sites that were deleted. The site-characteristic and hydrologic data collected, reviewed, edited, and added to NWIS include locations, well water levels, spring discharges, and water chemistry. Site-characteristic and hydrologic data can be accessed from links to the NWIS web interface; data not available through the web interface are presented in appendixes to this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds864","collaboration":"Prepared in cooperation with the U.S. Bureau of Land Management","usgsCitation":"Pavelko, M.T., 2014, Site-characteristic and hydrologic data for selected wells and springs on Federal land in Clark County, Nevada: U.S. Geological Survey Data Series 864, Report: iv, 18 p.; 2 Appendixes, https://doi.org/10.3133/ds864.","productDescription":"Report: iv, 18 p.; 2 Appendixes","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-041691","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":290341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds864.jpg"},{"id":290340,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/864/downloads/ds864_appendix2_2.xlsx"},{"id":290338,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/864/pdf/ds864.pdf"},{"id":290332,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/864/"},{"id":290339,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/864/downloads/ds864_appendix1_2.xlsx"}],"projection":"Albers Equal Area Conic Projection","datum":"North American Datum 1983","country":"United States","state":"Nevada","county":"Clark County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.8969,35.0019 ], [ -115.8969,36.8537 ], [ -114.0428,36.8537 ], [ -114.0428,35.0019 ], [ -115.8969,35.0019 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7304e4b0b29085108ac9","contributors":{"authors":[{"text":"Pavelko, Michael T. 0000-0002-8323-3998 mpavelko@usgs.gov","orcid":"https://orcid.org/0000-0002-8323-3998","contributorId":2321,"corporation":false,"usgs":true,"family":"Pavelko","given":"Michael","email":"mpavelko@usgs.gov","middleInitial":"T.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495441,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70111061,"text":"ds767 - 2014 - EAARL-B coastal topography: eastern New Jersey, Hurricane Sandy, 2012: first surface","interactions":[],"lastModifiedDate":"2014-08-19T13:14:00","indexId":"ds767","displayToPublicDate":"2014-07-17T08:30:00","publicationYear":"2014","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":"767","title":"EAARL-B coastal topography: eastern New Jersey, Hurricane Sandy, 2012: first surface","docAbstract":"<p>These remotely sensed, geographically referenced elevation measurements of lidar-derived first-surface (FS) topography datasets were produced by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida.</p>\n<br/>\n<p>This project provides highly detailed and accurate datasets for a portion of the New Jersey coastline beachface, acquired pre-Hurricane Sandy on October 26, and post-Hurricane Sandy on November 1 and November 5, 2012. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar system, known as the second-generation Experimental Advanced Airborne Research Lidar (EAARL-B), was used during data acquisition. The EAARL-B system is a raster-scanning, waveform-resolving, green-wavelength (532-nm) lidar designed to map nearshore bathymetry, topography, and vegetation structure simultaneously. The EAARL-B sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, down-looking red-green-blue (RGB) and infrared (IR) digital cameras, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL-B platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys.</p>\n<br/>\n<p>Elevation measurements were collected over the survey area using the EAARL-B system. The resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the \"bare earth\" under vegetation from a point cloud of last return elevations.</p>\n<br/>\n<p>For more information about similar projects, please visit the <a href=\"http://ngom.usgs.gov/dsp/\" target=\"_blank\">Lidar for Science and Resource Management</a> Web site.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds767","usgsCitation":"Wright, C.W., Fredericks, X., Troche, R.J., Klipp, E.S., Kranenburg, C., and Nagle, D.B., 2014, EAARL-B coastal topography: eastern New Jersey, Hurricane Sandy, 2012: first surface (Originally posted July 15, 2014; Revised and reposted August 18, 2014, version 1.1): U.S. Geological Survey Data Series 767, HTML Document, https://doi.org/10.3133/ds767.","productDescription":"HTML Document","onlineOnly":"Y","ipdsId":"IP-045296","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":290337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds767.jpg"},{"id":290331,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/767/"},{"id":290336,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/767/html/home.html"}],"country":"United States","state":"New Jersey","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.0504,38.8964 ], [ -75.0504,40.5775 ], [ -73.4996,40.5775 ], [ -73.4996,38.8964 ], [ -75.0504,38.8964 ] ] ] } } ] }","edition":"Originally posted July 15, 2014; Revised and reposted August 18, 2014, version 1.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd55f9e4b0b290850f6a2d","contributors":{"authors":[{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":494222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fredericks, Xan","contributorId":35704,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","affiliations":[],"preferred":false,"id":494221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Troche, Rodolfo J. rtroche@usgs.gov","contributorId":4304,"corporation":false,"usgs":true,"family":"Troche","given":"Rodolfo","email":"rtroche@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":494220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":494218,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kranenburg, Christine J.","contributorId":91412,"corporation":false,"usgs":true,"family":"Kranenburg","given":"Christine J.","affiliations":[],"preferred":false,"id":494223,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagle, David B. 0000-0002-2306-6147 dnagle@usgs.gov","orcid":"https://orcid.org/0000-0002-2306-6147","contributorId":3380,"corporation":false,"usgs":true,"family":"Nagle","given":"David","email":"dnagle@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":494219,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70189123,"text":"70189123 - 2014 - Reconstruction of an early Paleozoic continental margin based on the nature of protoliths in the Nome Complex, Seward Peninsula, Alaska","interactions":[],"lastModifiedDate":"2020-12-28T17:55:15.571323","indexId":"70189123","displayToPublicDate":"2014-07-17T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"Reconstruction of an early Paleozoic continental margin based on the nature of protoliths in the Nome Complex, Seward Peninsula, Alaska","docAbstract":"<p>The Nome Complex is a large metamorphic unit that sits along the southern boundary of the Arctic Alaska–Chukotka terrane, the largest of several micro continental fragments of uncertain origin located between the Siberian and Laurentian cratons. The Arctic Alaska–Chukotka terrane moved into its present position during the Mesozoic; its Mesozoic and older movements are central to reconstruction of Arctic tectonic history. Accurate representation of the Arctic Alaska–Chukotka terrane in reconstructions of Late Proterozoic and early Paleozoic paleogeography is hampered by the paucity of information available. Most of the Late Proterozoic to Paleozoic rocks in the Alaska–Chukotka terrane were penetratively deformed and recrystallized during the Mesozoic deformational events; primary features and relationships have been obliterated, and age control is sparse. </p><p>We use a variety of geochemical, geochronologic, paleontologic, and geologic tools to read through penetrative deformation and reconstruct the protolith sequence of part of the Arctic Alaska–Chukotka terrane, the Nome Complex. We confirm that the protoliths of the Nome Complex were part of the same Late Proterozoic to Devonian continental margin as weakly deformed rocks in the southern and central part&nbsp;of the terrane, the Brooks Range. We show that the protoliths of the Nome Complex represent a carbonate platform (and related rocks) that underwent incipient rifting, probably during the Ordovician, and that the carbonate platform was overrun by an influx of siliciclastic detritus during the Devonian. During early phases of the transition to siliciclastic deposition, restricted basins formed that were the site of sedimentary exhalative base-metal sulfide deposition. Finally, we propose that most of the basement on which the largely Paleozoic sedimentary protolith was deposited was subducted during the Mesozoic.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2014.2506(01)","usgsCitation":"Till, A.B., Dumoulin, J.A., Ayuso, R.A., Aleinikoff, J.N., Amato, J.M., Slack, J.F., and Shanks, W.P., 2014, Reconstruction of an early Paleozoic continental margin based on the nature of protoliths in the Nome Complex, Seward Peninsula, Alaska: GSA Special Papers, 506, 28 p., https://doi.org/10.1130/2014.2506(01).","productDescription":"506, 28 p.","ipdsId":"IP-018337","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":343224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Nome Complex","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -168.3,\n              64.2\n            ],\n            [\n              -161,\n              64.2\n            ],\n            [\n              -161,\n              66.6\n            ],\n            [\n              -168.3,\n              66.6\n            ],\n            [\n              -168.3,\n              64.2\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59576337e4b0d1f9f051b52f","contributors":{"authors":[{"text":"Till, Alison B. atill@usgs.gov","contributorId":2482,"corporation":false,"usgs":true,"family":"Till","given":"Alison","email":"atill@usgs.gov","middleInitial":"B.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":703064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":703065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ayuso, Robert A. 0000-0002-8496-9534 rayuso@usgs.gov","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":2654,"corporation":false,"usgs":true,"family":"Ayuso","given":"Robert","email":"rayuso@usgs.gov","middleInitial":"A.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":703066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":703074,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amato, Jeffrey M.","contributorId":67317,"corporation":false,"usgs":true,"family":"Amato","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":703075,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":703076,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shanks, W.C. Pat III","contributorId":93949,"corporation":false,"usgs":true,"family":"Shanks","given":"W.C.","suffix":"III","email":"","middleInitial":"Pat","affiliations":[],"preferred":false,"id":703077,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70189753,"text":"70189753 - 2014 - Effects of 2010 Hurricane Earl amidst geologic evidence for greater overwash at Anegada, British Virgin Islands","interactions":[],"lastModifiedDate":"2017-07-24T14:22:23","indexId":"70189753","displayToPublicDate":"2014-07-17T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":655,"text":"Advances in Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Effects of 2010 Hurricane Earl amidst geologic evidence for greater overwash at Anegada, British Virgin Islands","docAbstract":"<p><span>A post-hurricane survey of a Caribbean island affords comparisons with geologic evidence for greater overwash at the same place. This comparison, though of limited application to other places, helps calibrate coastal geology for assessment of earthquake and tsunami potential along the Antilles Subduction Zone.&nbsp;</span><br><br><span>The surveyed island, Anegada, is 120 km south of the Puerto Rico Trench and is near the paths of hurricanes Donna (1960) and Earl (2010), which were at or near category 4 when at closest approach. The survey focused on Earl's geologic effects, related them to the surge from Hurricane Donna, and compared them further with erosional and depositional signs of southward overwash from the Atlantic Ocean that dates to 1200–1450 AD and to 1650–1800 AD. The main finding is that the geologic effects of these earlier events dwarf those of the recent hurricanes.<span>&nbsp;</span></span><br><br><span>Hurricane Earl's geologic effects at Anegada, observed mainly in 2011, were limited to wrack deposition along many of the island's shores and salt ponds, accretion of small washover (spillover) fans on the south shore, and the suspension and deposition of microbial material from interior salt ponds. Earl's most widespread deposit at Anegada, the microbial detritus, was abundantly juxtaposed with evidence for catastrophic overwash in prior centuries. The microbial detritus formed an extensive coating up to 2 cm thick that extended into breaches in beach-ridge plains of the island's north shore, onto playas that are underlain by a sand-and-shell sheet that extends as much as 1.5 km southward from the north shore, and among southward-strewn limestone boulders pendant to outcrops as much as 1 km inland. Earl's spillover fans also contrast with a sand-and-shell sheet, which was dated previously to 1650–1800, by being limited to the island's south shore and by extending inland a few tens of meters at most.<span>&nbsp;</span></span><br><br><span>These findings complement those reported in this issue by Michaela Spiske and Robert Halley (Spiske and Halley, 2014), who studied a coral-rubble ridge that lines part of Anegada's north shore. Spiske and Halley attribute the ridge to storms that were larger than Earl. But they contrast the ridge with coral boulders that were scattered hundreds of meters inland by overwash in 1200–1450.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/adgeo-38-21-2014","usgsCitation":"Atwater, B.F., Fuentes, Z., Halley, R.B., ten Brink, U., and Tuttle, M.P., 2014, Effects of 2010 Hurricane Earl amidst geologic evidence for greater overwash at Anegada, British Virgin Islands: Advances in Geosciences, v. 38, p. 21-30, https://doi.org/10.5194/adgeo-38-21-2014.","productDescription":"10 p.","startPage":"21","endPage":"30","ipdsId":"IP-049809","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":472875,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/adgeo-38-21-2014","text":"Publisher Index Page"},{"id":344251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"British Virgin Islands","otherGeospatial":"Anegada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -64.41009521484375,\n              18.747058761201934\n            ],\n            [\n              -64.41155433654785,\n              18.747383869213394\n            ],\n            [\n              -64.412841796875,\n              18.74640854330072\n            ],\n            [\n              -64.41481590270996,\n              18.74535193387007\n            ],\n            [\n              -64.41618919372559,\n              18.74315741623149\n            ],\n            [\n              -64.41696166992186,\n              18.74185694787568\n            ],\n            [\n              -64.41747665405273,\n              18.740231348347123\n            ],\n            [\n              -64.41696166992186,\n              18.738930857457998\n            ],\n            [\n              -64.41464424133301,\n              18.73771163815481\n            ],\n            [\n              -64.41258430480957,\n              18.736654974306546\n            ],\n            [\n              -64.41018104553223,\n              18.735273173146716\n            ],\n            [\n              -64.40837860107422,\n              18.733078524544116\n            ],\n            [\n              -64.40674781799316,\n              18.730477422617625\n            ],\n            [\n              -64.40425872802734,\n              18.729014285187997\n            ],\n            [\n              -64.40254211425781,\n              18.727551135090312\n            ],\n            [\n              -64.40159797668457,\n              18.725112523445237\n            ],\n            [\n              -64.40159797668457,\n              18.723730627895534\n            ],\n            [\n              -64.39945220947266,\n              18.72218614303023\n            ],\n            [\n              -64.3963623046875,\n              18.723730627895534\n            ],\n            [\n              -64.39438819885254,\n              18.72454350899884\n            ],\n            [\n              -64.390869140625,\n              18.726413120701167\n            ],\n            [\n              -64.38812255859375,\n              18.726169259477995\n            ],\n            [\n              -64.3860626220703,\n              18.725031235784456\n            ],\n            [\n              -64.38443183898926,\n              18.725031235784456\n            ],\n            [\n              -64.38357353210449,\n              18.724055780805944\n            ],\n            [\n              -64.38177108764648,\n              18.722104853962232\n            ],\n            [\n              -64.38048362731934,\n              18.72145454001114\n            ],\n            [\n              -64.38074111938477,\n              18.722267432059144\n            ],\n            [\n              -64.38048362731934,\n              18.723161608797387\n            ],\n            [\n              -64.37859535217285,\n              18.723811916181777\n            ],\n            [\n              -64.37679290771484,\n              18.723811916181777\n            ],\n            [\n              -64.37516212463379,\n              18.724462221064407\n            ],\n            [\n              -64.37224388122557,\n              18.724787372567558\n            ],\n            [\n              -64.37104225158691,\n              18.724380933090888\n            ],\n            [\n              -64.36906814575195,\n              18.723811916181777\n            ],\n            [\n              -64.36898231506348,\n              18.72299903156041\n            ],\n            [\n              -64.36820983886719,\n              18.72169840803596\n            ],\n            [\n              -64.36537742614746,\n              18.72169840803596\n            ],\n            [\n              -64.36237335205077,\n              18.722023564855153\n            ],\n            [\n              -64.36031341552734,\n              18.721860986523723\n            ],\n            [\n              -64.35791015625,\n              18.720722933826146\n            ],\n            [\n              -64.35516357421875,\n              18.718690677812923\n            ],\n            [\n              -64.3513011932373,\n              18.71739002114591\n            ],\n            [\n              -64.34752464294434,\n              18.71682098070825\n            ],\n            [\n              -64.34340476989746,\n              18.717552603776394\n            ],\n            [\n              -64.33919906616211,\n              18.71771518625056\n            ],\n            [\n              -64.33791160583496,\n              18.71714614690709\n            ],\n            [\n              -64.33662414550781,\n              18.715764186244044\n            ],\n            [\n              -64.3344783782959,\n              18.71698356388583\n            ],\n            [\n              -64.3307876586914,\n              18.71698356388583\n            ],\n            [\n              -64.32804107666016,\n              18.716902272316567\n            ],\n            [\n              -64.32572364807129,\n              18.71682098070825\n            ],\n            [\n              -64.32417869567871,\n              18.715926770437594\n            ],\n            [\n              -64.32186126708984,\n              18.715601601894175\n            ],\n            [\n              -64.31971549987793,\n              18.715032555438807\n            ],\n            [\n              -64.31679725646973,\n              18.714544799810316\n            ],\n            [\n              -64.31387901306152,\n              18.713731870636988\n            ],\n            [\n              -64.3113899230957,\n              18.712918937556484\n            ],\n            [\n              -64.31130409240723,\n              18.711618236501153\n            ],\n            [\n              -64.31147575378418,\n              18.71056140952935\n            ],\n            [\n              -64.31199073791504,\n              18.709585871080083\n            ],\n            [\n              -64.3113899230957,\n              18.708366440108016\n            ],\n            [\n              -64.30915832519531,\n              18.708366440108016\n            ],\n            [\n              -64.30727005004883,\n              18.708041257031077\n            ],\n            [\n              -64.30495262145996,\n              18.707472185142578\n            ],\n            [\n              -64.30289268493652,\n              18.706577925450826\n            ],\n            [\n              -64.30074691772461,\n              18.704870689279293\n            ],\n            [\n              -64.29765701293945,\n              18.703082137673775\n            ],\n            [\n              -64.2931079864502,\n              18.700399274825656\n            ],\n            [\n              -64.29285049438477,\n              18.69958627768826\n            ],\n            [\n              -64.29113388061523,\n              18.69869197632727\n            ],\n            [\n              -64.28804397583008,\n              18.69787897099028\n            ],\n            [\n              -64.28667068481445,\n              18.69682205821522\n            ],\n            [\n              -64.28675651550292,\n              18.69495211945018\n            ],\n            [\n              -64.28461074829102,\n              18.69365128030318\n            ],\n            [\n              -64.28220748901367,\n              18.69251303785199\n            ],\n            [\n              -64.28126335144043,\n              18.6910495720302\n            ],\n            [\n              -64.27868843078613,\n              18.689098264596186\n            ],\n            [\n              -64.27619934082031,\n              18.688041297016465\n            ],\n            [\n              -64.27319526672363,\n              18.688691739384524\n            ],\n            [\n              -64.2711353302002,\n              18.690236529998103\n            ],\n            [\n              -64.27010536193848,\n              18.69275694759275\n            ],\n            [\n              -64.26993370056152,\n              18.69519602567768\n            ],\n            [\n              -64.27044868469238,\n              18.697228563909547\n            ],\n            [\n              -64.27079200744629,\n              18.699667577577713\n            ],\n            [\n              -64.27165031433105,\n              18.70210655610392\n            ],\n            [\n              -64.27199363708496,\n              18.705114581215465\n            ],\n            [\n              -64.27379608154297,\n              18.706171442210387\n            ],\n            [\n              -64.27482604980469,\n              18.70812255285891\n            ],\n            [\n              -64.27619934082031,\n              18.709748461212275\n            ],\n            [\n              -64.2780876159668,\n              18.712106000568962\n            ],\n            [\n              -64.28049087524413,\n              18.715276432725563\n            ],\n            [\n              -64.28263664245605,\n              18.71698356388583\n            ],\n            [\n              -64.28418159484863,\n              18.718690677812923\n            ],\n            [\n              -64.28606986999512,\n              18.72218614303023\n            ],\n            [\n              -64.2890739440918,\n              18.725681535976136\n            ],\n            [\n              -64.29259300231934,\n              18.728120139411335\n            ],\n            [\n              -64.29388046264648,\n              18.730802562548227\n            ],\n            [\n              -64.2960262298584,\n              18.732184400273407\n            ],\n            [\n              -64.29945945739746,\n              18.73250953691931\n            ],\n            [\n              -64.30117607116699,\n              18.734622909866328\n            ],\n            [\n              -64.30460929870605,\n              18.738768295392738\n            ],\n            [\n              -64.30606842041016,\n              18.739824946020022\n            ],\n            [\n              -64.31001663208008,\n              18.739824946020022\n            ],\n            [\n              -64.31164741516113,\n              18.740637749696273\n            ],\n            [\n              -64.31199073791504,\n              18.742344624682794\n            ],\n            [\n              -64.31396484375,\n              18.743563810538696\n            ],\n            [\n              -64.31714057922363,\n              18.745026821945665\n            ],\n            [\n              -64.32108879089355,\n              18.74632726588699\n            ],\n            [\n              -64.32289123535156,\n              18.747058761201934\n            ],\n            [\n              -64.33095932006836,\n              18.74900939987892\n            ],\n            [\n              -64.3348217010498,\n              18.750065986417223\n            ],\n            [\n              -64.33688163757324,\n              18.749740883571416\n            ],\n            [\n              -64.33971405029297,\n              18.74844046592655\n            ],\n            [\n              -64.34220314025879,\n              18.746245988434126\n            ],\n            [\n              -64.34452056884766,\n              18.7437263679877\n            ],\n            [\n              -64.3458080291748,\n              18.742263345312743\n            ],\n            [\n              -64.34786796569824,\n              18.742100786455275\n            ],\n            [\n              -64.35181617736816,\n              18.74299485823474\n            ],\n            [\n              -64.3575668334961,\n              18.745026821945665\n            ],\n            [\n              -64.36014175415039,\n              18.745595767402545\n            ],\n            [\n              -64.36142921447754,\n              18.745514489597515\n            ],\n            [\n              -64.3634033203125,\n              18.74437659621872\n            ],\n            [\n              -64.3648624420166,\n              18.743401252933182\n            ],\n            [\n              -64.36735153198242,\n              18.743238695171186\n            ],\n            [\n              -64.3700122833252,\n              18.743401252933182\n            ],\n            [\n              -64.37190055847168,\n              18.74470170939521\n            ],\n            [\n              -64.37387466430664,\n              18.746245988434126\n            ],\n            [\n              -64.37670707702637,\n              18.747383869213394\n            ],\n            [\n              -64.38014030456542,\n              18.74868429499808\n            ],\n            [\n              -64.38666343688965,\n              18.749740883571416\n            ],\n            [\n              -64.39009666442871,\n              18.749659607762123\n            ],\n            [\n              -64.39164161682127,\n              18.74844046592655\n            ],\n            [\n              -64.39335823059082,\n              18.747221315285927\n            ],\n            [\n              -64.39430236816406,\n              18.746245988434126\n            ],\n            [\n              -64.39610481262207,\n              18.746002155840753\n            ],\n            [\n              -64.39799308776855,\n              18.74616471094214\n            ],\n            [\n              -64.40013885498047,\n              18.746245988434126\n            ],\n            [\n              -64.40237045288086,\n              18.746083433411005\n            ],\n            [\n              -64.40425872802734,\n              18.745189377986126\n            ],\n            [\n              -64.40606117248535,\n              18.74470170939521\n            ],\n            [\n              -64.40855026245117,\n              18.745514489597515\n            ],\n            [\n              -64.41009521484375,\n              18.747058761201934\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-07","publicationStatus":"PW","scienceBaseUri":"59770752e4b0ec1a48889f9e","contributors":{"authors":[{"text":"Atwater, Brian F. 0000-0003-1155-2815 atwater@usgs.gov","orcid":"https://orcid.org/0000-0003-1155-2815","contributorId":3297,"corporation":false,"usgs":true,"family":"Atwater","given":"Brian","email":"atwater@usgs.gov","middleInitial":"F.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":706198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuentes, Zamara","contributorId":195074,"corporation":false,"usgs":false,"family":"Fuentes","given":"Zamara","email":"","affiliations":[],"preferred":false,"id":706199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Halley, Robert B.","contributorId":195075,"corporation":false,"usgs":false,"family":"Halley","given":"Robert","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":706200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":706201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tuttle, Martitia P.","contributorId":139388,"corporation":false,"usgs":false,"family":"Tuttle","given":"Martitia","email":"","middleInitial":"P.","affiliations":[{"id":12760,"text":"Tuttle and Associates","active":true,"usgs":false}],"preferred":false,"id":706202,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70174142,"text":"70174142 - 2014 - Linking environmental variability to population and community dynamics","interactions":[],"lastModifiedDate":"2020-07-03T15:44:42.49044","indexId":"70174142","displayToPublicDate":"2014-07-17T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"Linking environmental variability to population and community dynamics","docAbstract":"<p>Linking population and community responses to environmental variability lies at the heart of ecology, yet methodological approaches vary and existence of broad patterns spanning taxonomic groups remains unclear. We review the characteristics of environmental and biological variability. Classic approaches to link environmental variability to population and community variability are discussed as are the importance of biotic factors such as life history and community interactions. In addition to classic approaches, newer techniques such as information theory and artificial neural networks are reviewed. The establishment and expansion of observing networks will provide new long-term ecological time-series data, and with it, opportunities to incorporate environmental variability into research. This review can help guide future research in the field of ecological and environmental variability.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Eco-DAS IX: Symposium proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Eco-DAS IX: Ecological Dissertations  in the Aquatic Sciences","conferenceDate":"October 11-16, 2010","conferenceLocation":"Honolulu, HI","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","usgsCitation":"Pantel, J.H., Pendleton, D.E., Walters, A.W., and Rogers, L.A., 2014, Linking environmental variability to population and community dynamics, chap. 7 <i>of</i> Eco-DAS IX: Symposium proceedings, p. 119-131.","productDescription":"13 p.","startPage":"119","endPage":"131","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052733","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":341989,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593127b2e4b0e9bd0ea9ef1d","contributors":{"authors":[{"text":"Pantel, Jelena H.","contributorId":192568,"corporation":false,"usgs":false,"family":"Pantel","given":"Jelena","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":696876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pendleton, Daniel E.","contributorId":192570,"corporation":false,"usgs":false,"family":"Pendleton","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":696877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":640988,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rogers, Lauren A.","contributorId":192571,"corporation":false,"usgs":false,"family":"Rogers","given":"Lauren","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":696878,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190231,"text":"70190231 - 2014 - Movements and demography of spawning American Shad in the Penobscot River, Maine, prior to dam removal","interactions":[],"lastModifiedDate":"2017-08-18T17:22:45","indexId":"70190231","displayToPublicDate":"2014-07-17T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Movements and demography of spawning American Shad in the Penobscot River, Maine, prior to dam removal","docAbstract":"<p><span>We conducted a baseline study to better understand the migratory movements and age and spawning histories of American Shad&nbsp;</span><i>Alosa sapidissima</i><span><span>&nbsp;</span>in the Penobscot River, Maine. The Penobscot River is currently undergoing a major dam removal project that is focused on restoring migratory connectivity and recovering diadromous fish populations including American Shad. This study addresses key data gaps for a previously unstudied native population of shad prior to restoration. A combination of radio- (</span><i>n</i><span><span>&nbsp;</span>= 70) and acoustic telemetry (</span><i>n</i><span><span>&nbsp;</span>= 14) was used to investigate the movements of migratory adult fish in 2010 and 2011. Scale-based analyses were used to assess spawner age and iteroparity. Radiotelemetry results indicated that few tagged fish (5–8%) approached the head-of-tide dam. Tagged fish exhibited three general patterns of movement in the accessible freshwater river habitat: use of the upper river reach, the lower river reach, or both. Mean freshwater residence time ranged from 9.1 to 14.0 d. Congregating fish were observed at two sites in the upper river reach and spawning activity was observed. Freshwater survival and survival to the estuary were at least 71%. This observed high survival was consistent with the estimated age and spawning histories of tracked fish, which indicated that 75–95% of the sampled fish were repeat spawners. Estimated age of adult migrants ranged from age 4 to age 9. Postspawning acoustic-tagged American Shad exhibited a series of prolonged upstream and downstream reversals upon entering the lower estuary. These movements have been previously unreported, and suggest that estuarine residency after spawning is important to osmoregulatory acclimatization for re-entry into salt water and the resumption of postspawning feeding activity.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2013.864705","usgsCitation":"Grote, A.B., Bailey, M.M., and Zydlewski, J.D., 2014, Movements and demography of spawning American Shad in the Penobscot River, Maine, prior to dam removal: Transactions of the American Fisheries Society, v. 143, no. 2, p. 552-563, https://doi.org/10.1080/00028487.2013.864705.","productDescription":"12 p.","startPage":"552","endPage":"563","ipdsId":"IP-046151","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":344968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-13","publicationStatus":"PW","scienceBaseUri":"5997fc9ee4b0b589267cd21c","contributors":{"authors":[{"text":"Grote, Ann B.","contributorId":169715,"corporation":false,"usgs":false,"family":"Grote","given":"Ann","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":708070,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Michael M.","contributorId":169684,"corporation":false,"usgs":false,"family":"Bailey","given":"Michael","email":"","middleInitial":"M.","affiliations":[{"id":25572,"text":"University of Maine, Orono","active":true,"usgs":false}],"preferred":false,"id":708071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":708038,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}