{"pageNumber":"668","pageRowStart":"16675","pageSize":"25","recordCount":40804,"records":[{"id":70204833,"text":"70204833 - 2013 - Biogeochemistry of beetle-killed forests: Explaining a weak nitrate response","interactions":[],"lastModifiedDate":"2019-08-19T15:34:50","indexId":"70204833","displayToPublicDate":"2013-01-14T15:24:47","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Biogeochemistry of beetle-killed forests: Explaining a weak nitrate response","docAbstract":"<p><span>A current pine beetle infestation has caused extensive mortality of lodgepole pine (</span><i>Pinus contorta</i><span>) in forests of Colorado and Wyoming; it is part of an unprecedented multispecies beetle outbreak extending from Mexico to Canada. In United States and European watersheds, where atmospheric deposition of inorganic N is moderate to low (&lt;10 kg⋅ha⋅y), disturbance of forests by timber harvest or violent storms causes an increase in stream nitrate concentration that typically is close to 400% of predisturbance concentrations. In contrast, no significant increase in streamwater nitrate concentrations has occurred following extensive tree mortality caused by the mountain pine beetle in Colorado. A model of nitrate release from Colorado watersheds calibrated with field data indicates that stimulation of nitrate uptake by vegetation components unaffected by beetles accounts for significant nitrate retention in beetle-infested watersheds. The combination of low atmospheric N deposition (&lt;10 kg⋅ha⋅y), tree mortality spread over multiple years, and high compensatory capacity associated with undisturbed residual vegetation and soils explains the ability of these beetle-infested watersheds to retain nitrate despite catastrophic mortality of the dominant canopy tree species.</span></p>","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.1221029110","usgsCitation":"Charles C. Rhoades, McCutchan, J.H., Cooper, L.A., Clow, D.W., Detmer, T.M., Briggs, J.S., Stednick, J.D., Veblen, T.T., Ertz, R.M., Likens, G.E., and Lewis, W.M., 2013, Biogeochemistry of beetle-killed forests: Explaining a weak nitrate response: PNAS, v. 110, no. 5, p. 1756-1760, https://doi.org/10.1073/pnas.1221029110.","productDescription":"5 p.","startPage":"1756","endPage":"1760","ipdsId":"IP-051689","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":473975,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1221029110","text":"External Repository"},{"id":366660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.6,\n              40.7\n            ],\n            [\n              -106.6,\n              39.32\n            ],\n            [\n              -104.81,\n              39.32\n            ],\n            [\n              -104.81,\n              40.7\n            ],\n            [\n              -106.6,\n              40.7\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"110","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-01-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Charles C. Rhoades","contributorId":218191,"corporation":false,"usgs":false,"family":"Charles C. Rhoades","affiliations":[{"id":39777,"text":"US Dept of Agriculture, Forest Service","active":true,"usgs":false}],"preferred":false,"id":768663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCutchan, James H.","contributorId":218192,"corporation":false,"usgs":false,"family":"McCutchan","given":"James","email":"","middleInitial":"H.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":768664,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooper, Leigh A.","contributorId":218193,"corporation":false,"usgs":false,"family":"Cooper","given":"Leigh","email":"","middleInitial":"A.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":768665,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Detmer, Thomas M.","contributorId":218194,"corporation":false,"usgs":false,"family":"Detmer","given":"Thomas","email":"","middleInitial":"M.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":768666,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Briggs, Jennifer S.","contributorId":218195,"corporation":false,"usgs":false,"family":"Briggs","given":"Jennifer","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":768667,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stednick, John D.","contributorId":207399,"corporation":false,"usgs":false,"family":"Stednick","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":37531,"text":"Colorado Statte University","active":true,"usgs":false}],"preferred":false,"id":768668,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Veblen, Thomas T.","contributorId":218196,"corporation":false,"usgs":false,"family":"Veblen","given":"Thomas","email":"","middleInitial":"T.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":768669,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ertz, Rachel M.","contributorId":218197,"corporation":false,"usgs":false,"family":"Ertz","given":"Rachel","email":"","middleInitial":"M.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":768670,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Likens, Gene E.","contributorId":218198,"corporation":false,"usgs":false,"family":"Likens","given":"Gene","email":"","middleInitial":"E.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":768671,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lewis, William M.","contributorId":218199,"corporation":false,"usgs":false,"family":"Lewis","given":"William","email":"","middleInitial":"M.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":768672,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70047003,"text":"70047003 - 2013 - The major-ion composition of Cenozoic seawater: the past 36 million years from fluid inclusions in marine halite","interactions":[],"lastModifiedDate":"2014-01-14T10:57:00","indexId":"70047003","displayToPublicDate":"2013-01-14T09:19:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":732,"text":"American Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"The major-ion composition of Cenozoic seawater: the past 36 million years from fluid inclusions in marine halite","docAbstract":"Fluid inclusions from ten Cenozoic (Eocene-Miocene) marine halites are used to quantify the major-ion composition (Mg<sup>2+</sup>, Ca<sup>2+</sup>, K<sup>+</sup>, Na<sup>+</sup>, SO<sub>4</sub><sup>2−</sup>, and Cl<sup>−</sup>) of seawater over the past 36 My. Criteria used to determine a seawater origin of the halites include: (1) stratigraphic, sedimentologic, and paleontologic observations; (2) Br<sup>−</sup> in halite; (3) δ<sup>34</sup>S of sulfate minerals; (4) <sup>87</sup>Sr/<sup>86</sup>Sr of carbonates and sulfates; and (5) fluid inclusion brine compositions and evaporation paths, which must overlap from geographically separated basins of the same age to confirm a “global” seawater chemical signal.\n\nChanges in the major-ion chemistry of Cenozoic seawater record the end of a systematic, long term (>150 My) shift from the Ca<sup>2+</sup>-rich, Mg<sup>2+</sup>- and SO<sub>4</sub><sup>2−</sup>-poor seawater of the Mesozoic (“CaCl<sub>2</sub> seas”) to the “MgSO<sub>4</sub> seas” (with higher Mg<sup>2+</sup> and SO<sub>4</sub><sup>2−</sup>>Ca<sup>2+</sup>) of the Cenozoic. The major ion composition of Cenozoic seawater is calculated for the Eocene-Oligocene (36-34 Ma), Serravallian-Tortonian (13.5-11.8 Ma) and the Messinian (6-5 Ma), assuming chlorinity (565 mmolal), salinity, and the K<sup>+</sup> concentration (11 mmolal) are constant and the same as in modern seawater. Fluid inclusions from Cenozoic marine halites show that the concentrations of Mg<sup>2+</sup>and SO<sub>4</sub><sup>2−</sup> have increased in seawater over the past 36 My and the concentration of Ca<sup>2+</sup> has decreased. Mg<sup>2+</sup> concentrations increased from 36 mmolal in Eocene-Oligocene seawater (36-34 Ma) to 55 mmolal in modern seawater. The Mg<sup>2+</sub>/Ca<sup>2+</sup> ratio of seawater has risen from ∼2.3 at the end of the Eocene, to 3.4 and 4.0, respectively, at 13.5 to 11.8 Ma and 6 to 5 Ma, and to 5 in modern seawater.\n\nEocene-Oligocene seawater (36-34 Ma) has estimated ranges of SO<sub>4</sub><sup>2−</sup> = 14–23 mmolal and Ca<sup>2+</sup> = 11–20 mmolal. If the (Ca<sup>2+</sup>)(SO<sub>4</sub><sup>2−</sup>) product is assumed to be the same as in modern seawater (∼300 mmolal<sup>2</sup>), Eocene-Oligocene seawater had Ca<sup>2+</sup> ∼16 mmolal and SO<sub>4</sub><sup>2−</sup> ∼19 mmolal. The same estimates of Ca<sup>2+</sup> and SO<sub>4</sub><sup>2−</sup> for Serravallian-Tortonian seawater (13.5-11.8 Ma) are SO<sub>4</sub><sup>2−</sup> = 19–27 mmolal and Ca<sup>2+</sup> = 8–16 mmolal and SO<sub>4</sub><sup>2−</sup> ∼24 mmolal and Ca<sup>2+</sup> ∼ 13 mmolal if the (Ca<sup>2+</sup>)(SO<sub>4</sub><sup>2−</sup>) product is equal to that in modern seawater. Messinian seawater has an estimated range of SO<sub>4</sub><sup>2−</sup> ∼21–29 mmolal and Ca<sup>2+</sup> ∼7–15 mmolal with SO<sub>4</sub><sup>2−</sup> ∼26 mmolal and Ca<sup>2+<sup> ∼12 mmolal assuming the (Ca<sup>2+</sup>)(SO<sub>4</sub><sup>2−</sup>) product is equal to that in modern seawater. Regardless of the estimation procedure, SO<sub>4</sub><sup>2−</sup> shows progressively increasing concentrations from 36 Ma to the present values, which are the highest of the Cenozoic.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"American Journal of Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2475/08.2013.01","usgsCitation":"Brennan, S.T., Lowenstein, T.K., and Cendon, D.I., 2013, The major-ion composition of Cenozoic seawater: the past 36 million years from fluid inclusions in marine halite: American Journal of Science, v. 313, no. 8, p. 713-775, https://doi.org/10.2475/08.2013.01.","productDescription":"62 p.","startPage":"713","endPage":"775","ipdsId":"IP-032628","costCenters":[],"links":[{"id":280976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280958,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2475/08.2013.01"}],"volume":"313","issue":"8","noUsgsAuthors":false,"publicationDate":"2013-10-08","publicationStatus":"PW","scienceBaseUri":"53cd7831e4b0b2908510bfbc","contributors":{"authors":[{"text":"Brennan, Sean T. 0000-0002-7102-9359 sbrennan@usgs.gov","orcid":"https://orcid.org/0000-0002-7102-9359","contributorId":559,"corporation":false,"usgs":true,"family":"Brennan","given":"Sean","email":"sbrennan@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":480840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowenstein, Tim K.","contributorId":68220,"corporation":false,"usgs":true,"family":"Lowenstein","given":"Tim","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":480842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cendon, Dioni I.","contributorId":17915,"corporation":false,"usgs":true,"family":"Cendon","given":"Dioni","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":480841,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042530,"text":"sir20125191 - 2013 - Estimated sediment thickness, quality, and toxicity to benthic organisms in selected impoundments in Massachusetts","interactions":[],"lastModifiedDate":"2013-01-11T09:10:46","indexId":"sir20125191","displayToPublicDate":"2013-01-11T00:00:00","publicationYear":"2013","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":"2012-5191","title":"Estimated sediment thickness, quality, and toxicity to benthic organisms in selected impoundments in Massachusetts","docAbstract":"The U.S. Geological Survey and the Massachusetts Department of Fish and Game, Division of Ecological Restoration, collaborated to collect baseline information on the quantity and quality of sediment impounded behind selected dams in Massachusetts, including sediment thickness and the occurrence of contaminants potentially toxic to benthic organisms. The thicknesses of impounded sediments were measured, and cores of sediment were collected from 32 impoundments in 2004 and 2005. Cores were chemically analyzed, and concentrations of 32 inorganic elements and 108 organic compounds were quantified. Sediment thicknesses varied considerably among the 32 impoundments, with an average thickness of 3.7 feet. Estimated volumes also varied greatly, ranging from 100,000 cubic feet to 81 million cubic feet. Concentrations of toxic contaminants as well as the number of contaminants detected above analytical quantification levels (also known as laboratory reporting levels) varied greatly among sampling locations. Based on measured contaminant concentrations and comparison to published screening thresholds, bottom sediments were predicted to be toxic to bottom-dwelling (benthic) organisms in slightly under 30 percent of the impoundments sampled. Statistically significant relations were found between several of the contaminants and individual indicators of urban land use and industrial activity in the upstream drainage areas of the impoundments. However, models developed to estimate contaminant concentrations at unsampled sites from upstream landscape characteristics had low predictive power, consistent with the long and complex land-use history that is typical of many drainage areas in Massachusetts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125191","collaboration":"Prepared in cooperation with the Massachusetts Department of Fish and Game, Division of Ecological Restoration","usgsCitation":"Breault, R., Sorenson, J.R., and Weiskel, P.K., 2013, Estimated sediment thickness, quality, and toxicity to benthic organisms in selected impoundments in Massachusetts: U.S. Geological Survey Scientific Investigations Report 2012-5191, vii, 41 p., https://doi.org/10.3133/sir20125191.","productDescription":"vii, 41 p.","numberOfPages":"54","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":265540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5191.gif"},{"id":265538,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5191/"},{"id":265539,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5191/pdf/sir2012-5191_report_508.pdf"}],"country":"United States","state":"Massachusetts","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.5081,41.239 ], [ -73.5081,42.8868 ], [ -69.928,42.8868 ], [ -69.928,41.239 ], [ -73.5081,41.239 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f1346be4b0c982afefa86d","contributors":{"authors":[{"text":"Breault, Robert F. 0000-0002-2517-407X rbreault@usgs.gov","orcid":"https://orcid.org/0000-0002-2517-407X","contributorId":2219,"corporation":false,"usgs":true,"family":"Breault","given":"Robert F.","email":"rbreault@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sorenson, Jason R. 0000-0001-5553-8594 jsorenso@usgs.gov","orcid":"https://orcid.org/0000-0001-5553-8594","contributorId":3468,"corporation":false,"usgs":true,"family":"Sorenson","given":"Jason","email":"jsorenso@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weiskel, Peter K. pweiskel@usgs.gov","contributorId":1099,"corporation":false,"usgs":true,"family":"Weiskel","given":"Peter","email":"pweiskel@usgs.gov","middleInitial":"K.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471708,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042504,"text":"sir20125195 - 2013 - Application of sediment characteristics and transport conditions to resource management in selected main-stem reaches of the Upper Colorado River, Colorado and Utah, 1965-2007","interactions":[],"lastModifiedDate":"2013-01-10T08:32:16","indexId":"sir20125195","displayToPublicDate":"2013-01-10T00:00:00","publicationYear":"2013","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":"2012-5195","title":"Application of sediment characteristics and transport conditions to resource management in selected main-stem reaches of the Upper Colorado River, Colorado and Utah, 1965-2007","docAbstract":"The Colorado River Basin provides habitat for 14 native fish, including 4 endangered species protected under the Federal Endangered Species Act of 1973. These endangered fish species once thrived in the Colorado River system, but water-resource development, including the building of numerous diversion dams and several large reservoirs, and the introduction of non-native fish, resulted in large reductions in the numbers and range of the four species through loss of habitat and stream function. Understanding how stream conditions and habitat change in response to alterations in streamflow is important for water administrators and wildlife managers and can be determined from an understanding of sediment transport. Characterization of the processes that are controlling sediment transport is an important first step in identifying flow regimes needed for restored channel morphology and the sustained recovery of endangered fishes within these river systems. The U.S. Geological Survey, in cooperation with the Upper Colorado River Endangered Fish Recovery Program, Bureau of Reclamation, U.S. Fish and Wildlife Service, Argonne National Laboratory, Western Area Power Administration, and Wyoming State Engineer’s Office, began a study in 2004 to characterize sediment transport at selected locations on the Colorado, Gunnison, and Green Rivers to begin addressing gaps in existing datasets and conceptual models of the river systems. This report identifies and characterizes the relation between streamflow (magnitude and timing) and sediment transport and presents the findings through discussions of (1) suspended-sediment transport, (2) incipient motion of streambed material, and (3) a case study of sediment-transport conditions for a reach of the Green River identified as a razorback sucker spawning habitat (See report for full abstract).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125195","collaboration":"Prepared in cooperation with the Upper Colorado River Endangered Fish Recovery Program, Bureau of Reclamation, U.S. Fish and Wildlife Service, Argonne National Laboratory, Western Area Power Administration, and Wyoming State Engineer’s Office","usgsCitation":"Williams, C.A., Schaffrath, K.R., Elliott, J.G., and Richards, R.J., 2013, Application of sediment characteristics and transport conditions to resource management in selected main-stem reaches of the Upper Colorado River, Colorado and Utah, 1965-2007: U.S. Geological Survey Scientific Investigations Report 2012-5195, ix, 82 p.; col. ill.; maps (col.), https://doi.org/10.3133/sir20125195.","productDescription":"ix, 82 p.; col. ill.; maps (col.)","startPage":"i","endPage":"82","numberOfPages":"95","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1965-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":265503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5195.gif"},{"id":265502,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/409/"},{"id":265500,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5195/"},{"id":265501,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5195/SIR12-5195.pdf"}],"country":"United States","state":"Colorado;Utah","otherGeospatial":"Colorado River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.05,37.0 ], [ -114.05,42.0 ], [ -102.04,42.0 ], [ -102.04,37.0 ], [ -114.05,37.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4d9ee4b0b290850f199d","contributors":{"authors":[{"text":"Williams, Cory A. 0000-0003-1461-7848 cawillia@usgs.gov","orcid":"https://orcid.org/0000-0003-1461-7848","contributorId":689,"corporation":false,"usgs":true,"family":"Williams","given":"Cory","email":"cawillia@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaffrath, Keelin R.","contributorId":7552,"corporation":false,"usgs":true,"family":"Schaffrath","given":"Keelin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":471659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, John G. jelliott@usgs.gov","contributorId":832,"corporation":false,"usgs":true,"family":"Elliott","given":"John","email":"jelliott@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":471657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richards, Rodney J. 0000-0003-3953-984X rjrichar@usgs.gov","orcid":"https://orcid.org/0000-0003-3953-984X","contributorId":2204,"corporation":false,"usgs":true,"family":"Richards","given":"Rodney","email":"rjrichar@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471658,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70147945,"text":"70147945 - 2013 - Sampling efficiency of the Moore egg collector","interactions":[],"lastModifiedDate":"2015-05-11T10:35:37","indexId":"70147945","displayToPublicDate":"2013-01-09T11:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Sampling efficiency of the Moore egg collector","docAbstract":"<p>Quantitative studies focusing on the collection of semibuoyant fish eggs, which are associated with a pelagic broadcast-spawning reproductive strategy, are often conducted to evaluate reproductive success. Many of the fishes in this reproductive guild have suffered significant reductions in range and abundance. However, the efficiency of the sampling gear used to evaluate reproduction is often unknown and renders interpretation of the data from these studies difficult. Our objective was to assess the efficiency of a modified Moore egg collector (MEC) using field and laboratory trials. Gear efficiency was assessed by releasing a known quantity of gellan beads with a specific gravity similar to that of eggs from representatives of this reproductive guild (e.g., the Arkansas River Shiner Notropis girardi) into an outdoor flume and recording recaptures. We also used field trials to determine how discharge and release location influenced gear efficiency given current methodological approaches. The flume trials indicated that gear efficiency ranged between 0.0% and 9.5% (n = 57) in a simple 1.83-m-wide channel and was positively related to discharge. Efficiency in the field trials was lower, ranging between 0.0% and 3.6%, and was negatively related to bead release distance from the MEC and discharge. The flume trials indicated that the gellan beads were not distributed uniformly across the channel, although aggregation was reduced at higher discharges. This clustering of passively drifting particles should be considered when selecting placement sites for an MEC; further, the use of multiple devices may be warranted in channels with multiple areas of concentrated flow.</p>","language":"English","publisher":"American Fisheries Society","publisherLocation":"Lawrence, KS","doi":"10.1080/02755947.2012.741557","usgsCitation":"Worthington, T.A., Brewer, S.K., Grabowski, T.B., and Mueller, J., 2013, Sampling efficiency of the Moore egg collector: North American Journal of Fisheries Management, v. 33, no. 1, p. 79-88, https://doi.org/10.1080/02755947.2012.741557.","productDescription":"10 p.","startPage":"79","endPage":"88","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039684","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-01-09","publicationStatus":"PW","scienceBaseUri":"5551d2b8e4b0a92fa7e93c0b","contributors":{"authors":[{"text":"Worthington, Thomas A.","contributorId":140662,"corporation":false,"usgs":false,"family":"Worthington","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":546577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":546474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":546578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mueller, Julia","contributorId":140663,"corporation":false,"usgs":false,"family":"Mueller","given":"Julia","affiliations":[],"preferred":false,"id":546579,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042497,"text":"sir20125265 - 2013 - Summary and interpretation of discrete and continuous water-quality monitoring data, Mattawoman Creek, Charles County, Maryland, 2000-11","interactions":[],"lastModifiedDate":"2023-03-10T12:37:02.469065","indexId":"sir20125265","displayToPublicDate":"2013-01-09T00:00:00","publicationYear":"2013","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":"2012-5265","title":"Summary and interpretation of discrete and continuous water-quality monitoring data, Mattawoman Creek, Charles County, Maryland, 2000-11","docAbstract":"Discrete samples and continuous (15-minute interval) water-quality data were collected at Mattawoman Creek (U.S. Geological Survey station number 01658000) from October 2000 through January 2011, in cooperation with the Charles County (Maryland) Department of Planning and Growth Management, the Maryland Department of the Environment, and the Maryland Geological Survey. Mattawoman Creek is a fourth-order Maryland tributary to the tidal freshwater Potomac River; the creek’s watershed is experiencing development pressure due to its proximity to Washington, D.C. Data were analyzed for the purpose of describing ambient water quality, identifying potential contaminant sources, and quantifying nutrient and sediment loads to the tidal freshwater Mattawoman estuary. Continuous data, collected at 15-minute intervals, included discharge, derived from stage measurements made using a pressure transducer, as well as water temperature, pH, specific conductance, dissolved oxygen, and turbidity, all measured using a water-quality sonde. In addition to the continuous data, a total of 360 discrete water-quality samples, representative of monthly low-flow and targeted storm conditions, were analyzed for suspended sediment and nutrients. Continuous observations gathered by a second water-quality sonde, which was temporarily deployed in 2011 for quality-control purposes, indicated substantial lateral water-quality gradients due to inflow from a nearby tributary, representing about 10 percent of the total gaged area upstream of the sampling location. These lateral gradients introduced a time-varying bias into both the continuous and discrete data, resulting in observations that were at some times representative of water-quality conditions in the main channel and at other times biased towards conditions in the tributary. Despite this limitation, both the continuous and discrete data provided insight into the watershed-scale factors that influence water quality in Mattawoman Creek. Annual precipitation over the study period was representative of the long-term record for southern Maryland. The median value of continuously measured discharge was 25 cubic feet per second (ft<sup>3</sup>/s), and the maximum observed value was 3,210 ft<sup>3</sup>/s; there were 498 days, or about 15 percent of the study period, when flow was zero or too low to measure. Continuously measured water temperature followed a seasonal trend characteristic of the geographic setting; the trend in dissolved oxygen was inverted relative to temperature, and reflected nearly saturated conditions year round. Relations between discharge and both pH and specific conductance indicate that stream water can be conceptualized as a mixture of acidic, dilute precipitation with pH-neutral groundwater of higher conductance. Specific conductance data showed a pronounced winter peak in both median and extreme measurements, indicating the influence of road salt. However, this influence is minor relative to that observed in the Northeast Branch Anacostia River (U.S. Geological Survey station number 01649500), a nearby, more heavily urbanized comparison basin. The median suspended-sediment concentration in discrete samples was 24 milligrams per liter (mg/L), with minimum and maximum concentrations of 1 mg/L and 2,890 mg/L, respectively. Total nitrogen ranged from 0.21 mg/L to 4.09 mg/L, with a median of 0.69 mg/L; total phosphorus ranged from less than 0.01 mg/L to 0.98 mg/L, with a median of 0.07 mg/L. Total nitrogen was dominated by the dissolved organic fraction (49 percent based on median species concentrations); total phosphorus was predominantly particulate (70 percent). Seasonal trends in suspended-sediment concentration indicate a supply subsidy in late winter and spring; this could be linked to flood-plain interaction, mobilization of sediment from the channel or banks, or anthropogenic input. Seasonal trends for both total phosphorus and total nitrogen generally corresponded to seasonal trends for suspended sediment, indicating a common underlying physical control, likely acting in synchrony with seasonal biological controls on total nutrient concentrations. Speciation of phosphorus, including proportional concentration of the biologically available dissolved inorganic fraction, did not vary seasonally. The speciation of nitrogen reflected demand for inorganic nitrogen and associated transformation into organic nitrogen during the growing season. Stepwise regression models were developed, using continuous data corresponding to collection times for discrete samples as candidate surrogates for suspended sediment, total phosphorus, and total nitrogen. Turbidity and discharge were both included in the model for suspended sediment (R<sup>2</sup> = 0.76, n = 185); only turbidity was selected as a robust predictor of total phosphorus and nitrogen (R<sup>2</sup> = 0.68 and 0.61, respectively, n = 186 for both). Loads of sediment and nutrients to the downstream Mattawoman estuary were computed using the U.S. Geological Survey computer program LOADEST. Load estimation included comparison of a routinely applied seven-parameter regression model based on time, season, and discharge, with an eight-parameter model that also includes turbidity. Adding turbidity decreased total load estimates, based on hourly data for a fixed 2-month period, by 21, 8, and 3 percent for suspended sediment, total phosphorus, and total nitrogen, respectively, in addition to decreasing the standard error of prediction for all three constituents. The seasonal pattern in specific conductance, reflecting road salt application, is the strongest evidence of the effect of upstream development on water quality at Mattawoman Creek. Accordingly, ongoing continuous monitoring for trends in specific conductance would be the most reliable means of detecting further degradation associated with increased development.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125265","collaboration":"Prepared in cooperation with the Charles County Department of Planning and Growth Management; Maryland Department of the Environment; Maryland Geological Survey","usgsCitation":"Chanat, J.G., Miller, C.V., Bell, J.M., Majedi, B.F., and Brower, D.P., 2013, Summary and interpretation of discrete and continuous water-quality monitoring data, Mattawoman Creek, Charles County, Maryland, 2000-11: U.S. Geological Survey Scientific Investigations Report 2012-5265, vii, 42 p., https://doi.org/10.3133/sir20125265.","productDescription":"vii, 42 p.","startPage":"i","endPage":"42","numberOfPages":"54","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2000-10-01","temporalEnd":"2011-01-31","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":265497,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5265.gif"},{"id":265498,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5265/"},{"id":265499,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5265/pdf/sir2012-5265.pdf"}],"state":"Maryl","city":"Charles County","otherGeospatial":"Mattawoman Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.3155,38.1713 ], [ -77.3155,38.7047 ], [ -76.6719,38.7047 ], [ -76.6719,38.1713 ], [ -77.3155,38.1713 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ee9177e4b0160a2d0ee34b","contributors":{"authors":[{"text":"Chanat, Jeffrey G. 0000-0002-3629-7307 jchanat@usgs.gov","orcid":"https://orcid.org/0000-0002-3629-7307","contributorId":5062,"corporation":false,"usgs":true,"family":"Chanat","given":"Jeffrey","email":"jchanat@usgs.gov","middleInitial":"G.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Cherie V. 0000-0001-7765-5919 cvmiller@usgs.gov","orcid":"https://orcid.org/0000-0001-7765-5919","contributorId":863,"corporation":false,"usgs":true,"family":"Miller","given":"Cherie","email":"cvmiller@usgs.gov","middleInitial":"V.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":471651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bell, Joseph M. 0000-0002-2536-2070 jmbell@usgs.gov","orcid":"https://orcid.org/0000-0002-2536-2070","contributorId":5063,"corporation":false,"usgs":true,"family":"Bell","given":"Joseph","email":"jmbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Majedi, Brenda Feit","contributorId":81361,"corporation":false,"usgs":true,"family":"Majedi","given":"Brenda","email":"","middleInitial":"Feit","affiliations":[],"preferred":false,"id":471655,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brower, David P. dpbrower@usgs.gov","contributorId":5061,"corporation":false,"usgs":true,"family":"Brower","given":"David","email":"dpbrower@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":471652,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70058004,"text":"70058004 - 2013 - Movement mysteries unveiled: spatial ecology of juvenile green sea turtles","interactions":[],"lastModifiedDate":"2014-01-08T14:42:07","indexId":"70058004","displayToPublicDate":"2013-01-08T14:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Movement mysteries unveiled: spatial ecology of juvenile green sea turtles","docAbstract":"Locations of important foraging areas are not well defined for many marine species. Unraveling these mysteries is vital to develop conservation strategies for these species, many of which are threatened or endangered. Satellite-tracking is a tool that can reveal movement patterns at both broad and fine spatial scales, in all marine environments. This chapter presents records of the longest duration track of an individual juvenile green turtle (434 days) and highest number of tracking days in any juvenile green turtle study (5483 tracking days) published to date. In this chapter, we use spatial modeling techniques to describe movements and identify foraging areas for juvenile green turtles (<i>Chelonia mydas</i>) captured in a developmental habitat in south Texas, USA. Some green turtles established residency in the vicinity of their capture and release site, but most used a specific habitat feature (i.e., a jettied pass) to travel between the Gulf of Mexico and a nearby bay. Still others moved southward within the Gulf of Mexico into Mexican coastal waters, likely in response to decreasing water temperatures. These movements to waters off the coast of Mexico highlight the importance of international cooperation in restoration efforts undertaken on behalf of this imperiled species.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reptiles in research: investigations of ecology, physiology, and behavior from desert to sea","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Nova Science Publishers, Inc.","publisherLocation":"Hauppauge, NY","usgsCitation":"Shaver, D.J., Hart, K.M., Fujisaki, I., Rubio, C., and Sartain-Iverson, A.R., 2013, Movement mysteries unveiled: spatial ecology of juvenile green sea turtles, chap. <i>of</i> Reptiles in research: investigations of ecology, physiology, and behavior from desert to sea, p. 463-484.","productDescription":"22 p.","startPage":"463","endPage":"484","numberOfPages":"22","ipdsId":"IP-044789","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":280756,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280755,"type":{"id":15,"text":"Index Page"},"url":"https://www.novapublishers.com/catalog/product_info.php?products_id=46914"}],"country":"Mexico;United States","state":"Texas","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.0,25.5 ], [ -98.0,28.0 ], [ -96.0,28.0 ], [ -96.0,25.5 ], [ -98.0,25.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd684fe4b0b29085101f1c","contributors":{"editors":[{"text":"Lutterschmidt, William I.","contributorId":111950,"corporation":false,"usgs":true,"family":"Lutterschmidt","given":"William","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":509655,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Shaver, Donna J.","contributorId":11104,"corporation":false,"usgs":true,"family":"Shaver","given":"Donna","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":486958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":486956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fujisaki, Ikuko","contributorId":31108,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":486959,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rubio, Cynthia","contributorId":39277,"corporation":false,"usgs":true,"family":"Rubio","given":"Cynthia","email":"","affiliations":[],"preferred":false,"id":486960,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sartain-Iverson, Autumn R. 0000-0002-8353-6745 asartain@usgs.gov","orcid":"https://orcid.org/0000-0002-8353-6745","contributorId":5477,"corporation":false,"usgs":true,"family":"Sartain-Iverson","given":"Autumn","email":"asartain@usgs.gov","middleInitial":"R.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":486957,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192405,"text":"70192405 - 2013 - Predicting thermal reference conditions for USA streams and rivers","interactions":[],"lastModifiedDate":"2017-10-26T13:31:18","indexId":"70192405","displayToPublicDate":"2013-01-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Predicting thermal reference conditions for USA streams and rivers","docAbstract":"<p>Temperature is a primary driver of the structure and function of stream ecosystems. However, the lack of stream temperature (ST) data for the vast majority of streams and rivers severely compromises our ability to describe patterns of thermal variation among streams, test hypotheses regarding the effects of temperature on macroecological patterns, and assess the effects of altered STs on ecological resources. Our goal was to develop empirical models that could: 1) quantify the effects of stream and watershed alteration (SWA) on STs, and 2) accurately and precisely predict natural (i.e., reference condition) STs in conterminous USA streams and rivers. We modeled 3 ecologically important elements of the thermal regime: mean summer, mean winter, and mean annual ST. To build reference-condition models (RCMs), we used daily mean ST data obtained from several thousand US Geological Survey temperature sites distributed across the conterminous USA and iteratively modeled ST with Random Forests to identify sites in reference condition. We first created a set of dirty models (DMs) that related STs to both natural factors (e.g., climate, watershed area, topography) and measures of SWA, i.e., reservoirs, urbanization, and agriculture. The 3 models performed well (r<sup>2</sup> = 0.84–0.94, residual mean square error [RMSE] = 1.2–2.0<span>°</span>C). For each DM, we used partial dependence plots to identify SWA thresholds below which response in ST was minimal. We then used data from only the sites with upstream SWA below these thresholds to build RCMs with only natural factors as predictors (r<sup>2</sup> = 0.87–0.95, RMSE = 1.1–1.9<span>°</span>C). Use of only reference-quality sites caused RCMs to suffer modest loss of predictor space and spatial coverage, but this loss was associated with parts of ST response curves that were flat and, therefore, not responsive to further variation in predictor space. We then compared predictions made with the RCMs to predictions made with the DMs with SWA set to 0. For most DMs, setting SWAs to 0 resulted in biased estimates of thermal reference condition.</p>","language":"English","publisher":"University of Chicago Press","doi":"10.1899/12-009.1","usgsCitation":"Hill, R.A., Hawkins, C.P., and Carlisle, D.M., 2013, Predicting thermal reference conditions for USA streams and rivers: Freshwater Science, v. 32, no. 1, p. 39-55, https://doi.org/10.1899/12-009.1.","productDescription":"17 p.","startPage":"39","endPage":"55","ipdsId":"IP-039780","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":473978,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1899/12-009.1","text":"External Repository"},{"id":347475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07ef3de4b09af898c8cd84","contributors":{"authors":[{"text":"Hill, Ryan A.","contributorId":198332,"corporation":false,"usgs":false,"family":"Hill","given":"Ryan","email":"","middleInitial":"A.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":715712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawkins, Charles P.","contributorId":198331,"corporation":false,"usgs":false,"family":"Hawkins","given":"Charles","email":"","middleInitial":"P.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":715711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":715710,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042412,"text":"ofr20061210 - 2013 - Final report and archive of the swath bathymetry and ancillary data collected in the Puerto Rico Trench region in 2002 and 2003","interactions":[],"lastModifiedDate":"2017-11-18T12:01:51","indexId":"ofr20061210","displayToPublicDate":"2013-01-07T00:00:00","publicationYear":"2013","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":"2006-1210","title":"Final report and archive of the swath bathymetry and ancillary data collected in the Puerto Rico Trench region in 2002 and 2003","docAbstract":"In 2002 and 2003, the U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), conducted three exploration cruises that mapped for the first time the morphology of the entire tectonic plate boundary stretching from the Dominican Republic in the west to the Lesser Antilles in the east, a distance of approximately 700 kilometers (430 miles). Observations from these three exploration cruises, coupled with computer modeling and published Global Positioning System (GPS) results and earthquake focal mechanisms, have provided new information that is changing the evaluation of the seismic and tsunami hazard from this plate boundary. The observations collected during these cruises also contributed to the basic understanding of the mechanisms that govern plate tectonics, in this case, the creation of the island of Puerto Rico and the deep trench north of it. Results of the sea floor mapping have been an important component of the study of tsunami and earthquake hazards to the northeastern Caribbean and the U.S. Atlantic coast off the United States.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061210","usgsCitation":"ten Brink, U., Danforth, W.W., and Polloni, C.F., 2013, Final report and archive of the swath bathymetry and ancillary data collected in the Puerto Rico Trench region in 2002 and 2003: U.S. Geological Survey Open-File Report 2006-1210, HTML Document, https://doi.org/10.3133/ofr20061210.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2002-01-01","temporalEnd":"2003-12-31","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":265368,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2006_1210.jpg"},{"id":265366,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1210/"},{"id":265367,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1210/title_page.html"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.25,17.88 ], [ -70.25,22.03 ], [ -59.4,22.03 ], [ -59.4,17.88 ], [ -70.25,17.88 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ebee63e4b07f1501afcfac","contributors":{"authors":[{"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":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":471490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Danforth, William W. 0000-0002-6382-9487 bdanforth@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-9487","contributorId":3292,"corporation":false,"usgs":true,"family":"Danforth","given":"William","email":"bdanforth@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":471489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Polloni, Christopher F.","contributorId":93087,"corporation":false,"usgs":true,"family":"Polloni","given":"Christopher","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":471491,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042380,"text":"tm7C9 - 2013 - Approaches in highly parameterized inversion: bgaPEST, a Bayesian geostatistical approach implementation with PEST: documentation and instructions","interactions":[],"lastModifiedDate":"2013-01-06T13:04:47","indexId":"tm7C9","displayToPublicDate":"2013-01-06T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"7-C9","title":"Approaches in highly parameterized inversion: bgaPEST, a Bayesian geostatistical approach implementation with PEST: documentation and instructions","docAbstract":"The application bgaPEST is a highly parameterized inversion software package implementing the Bayesian Geostatistical Approach in a framework compatible with the parameter estimation suite PEST. Highly parameterized inversion refers to cases in which parameters are distributed in space or time and are correlated with one another. The Bayesian aspect of bgaPEST is related to Bayesian probability theory in which prior information about parameters is formally revised on the basis of the calibration dataset used for the inversion. Conceptually, this approach formalizes the conditionality of estimated parameters on the specific data and model available. The geostatistical component of the method refers to the way in which prior information about the parameters is used. A geostatistical autocorrelation function is used to enforce structure on the parameters to avoid overfitting and unrealistic results. Bayesian Geostatistical Approach is designed to provide the smoothest solution that is consistent with the data. Optionally, users can specify a level of fit or estimate a balance between fit and model complexity informed by the data. Groundwater and surface-water applications are used as examples in this text, but the possible uses of bgaPEST extend to any distributed parameter applications.","largerWorkTitle":"Automated Data Processing and Computations (Book 7)","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7C9","collaboration":"Groundwater Resources Program and Global Change Research and Development. This report is Chapter 9 of Section C, Computer programs, in Book 7, Automated Data Processing and Computations.","usgsCitation":"Fienen, M., D'Oria, M., Doherty, J.E., and Hunt, R.J., 2013, Approaches in highly parameterized inversion: bgaPEST, a Bayesian geostatistical approach implementation with PEST: documentation and instructions: U.S. Geological Survey Techniques and Methods 7-C9, Report: vi, 86 p.; Software; Development GIT Repository, https://doi.org/10.3133/tm7C9.","productDescription":"Report: vi, 86 p.; Software; Development GIT Repository","numberOfPages":"96","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":265307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_7_C9.gif"},{"id":265304,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/07/c09/"},{"id":265305,"type":{"id":4,"text":"Application Site"},"url":"https://pubs.usgs.gov/tm/07/c09/Downloads"},{"id":265306,"type":{"id":7,"text":"Companion Files"},"url":"https://github.com/mnfienen-usgs/bgaPEST"},{"id":265308,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/07/c09/pdf/TM7-C9.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ea9ce2e4b02dd6076fad83","contributors":{"authors":[{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":471424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D'Oria, Marco","contributorId":24253,"corporation":false,"usgs":true,"family":"D'Oria","given":"Marco","affiliations":[],"preferred":false,"id":471427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doherty, John E.","contributorId":8817,"corporation":false,"usgs":false,"family":"Doherty","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":7046,"text":"Watermark Numerical Computing","active":true,"usgs":false}],"preferred":false,"id":471426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471425,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042371,"text":"ofr20121271 - 2013 - An automated digital imaging system for environmental monitoring applications","interactions":[],"lastModifiedDate":"2013-01-04T14:48:12","indexId":"ofr20121271","displayToPublicDate":"2013-01-04T00:00:00","publicationYear":"2013","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":"2012-1271","title":"An automated digital imaging system for environmental monitoring applications","docAbstract":"Recent improvements in the affordability and availability of high-resolution digital cameras, data loggers, embedded computers, and radio/cellular modems have advanced the development of sophisticated automated systems for remote imaging. Researchers have successfully placed and operated automated digital cameras in remote locations and in extremes of temperature and humidity, ranging from the islands of the South Pacific to the Mojave Desert and the Grand Canyon. With the integration of environmental sensors, these automated systems are able to respond to local conditions and modify their imaging regimes as needed. In this report we describe in detail the design of one type of automated imaging system developed by our group. It is easily replicated, low-cost, highly robust, and is a stand-alone automated camera designed to be placed in remote locations, without wireless connectivity.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121271","usgsCitation":"Bogle, R., Velasco, M., and Vogel, J., 2013, An automated digital imaging system for environmental monitoring applications: U.S. Geological Survey Open-File Report 2012-1271, vi, 18 p., https://doi.org/10.3133/ofr20121271.","productDescription":"vi, 18 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":265280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1271.gif"},{"id":265278,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1271/"},{"id":265279,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1271/of2012-1271.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e7f9e2e4b033ce2d2433e5","contributors":{"authors":[{"text":"Bogle, Rian rbogle@usgs.gov","contributorId":81378,"corporation":false,"usgs":true,"family":"Bogle","given":"Rian","email":"rbogle@usgs.gov","affiliations":[],"preferred":false,"id":471399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Velasco, Miguel","contributorId":50214,"corporation":false,"usgs":true,"family":"Velasco","given":"Miguel","affiliations":[],"preferred":false,"id":471398,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vogel, John","contributorId":99825,"corporation":false,"usgs":true,"family":"Vogel","given":"John","affiliations":[],"preferred":false,"id":471400,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044662,"text":"70044662 - 2013 - Mississippi River streamflow measurement techniques at St. Louis, Missouri","interactions":[],"lastModifiedDate":"2013-10-28T15:45:07","indexId":"70044662","displayToPublicDate":"2013-01-01T21:59:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2338,"text":"Journal of Hydraulic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Mississippi River streamflow measurement techniques at St. Louis, Missouri","docAbstract":"Streamflow measurement techniques of the Mississippi River at St. Louis have changed through time (1866–present). In addition to different methods used for discrete streamflow measurements, the density and range of discrete measurements used to define the rating curve (stage versus streamflow) have also changed. Several authors have utilized published water surface elevation (stage) and streamflow data to assess changes in the rating curve, which may be attributed to be caused by flood control and/or navigation structures. The purpose of this paper is to provide a thorough review of the available flow measurement data and techniques and to assess how a strict awareness of the limitations of the data may affect previous analyses. It is concluded that the pre-1930s discrete streamflow measurement data are not of sufficient accuracy to be compared with modern streamflow values in establishing long-term trends of river behavior.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydraulic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)HY.1943-7900.0000752","usgsCitation":"Wastson, C.C., Holmes, R.R., and Biedenham, D.S., 2013, Mississippi River streamflow measurement techniques at St. Louis, Missouri: Journal of Hydraulic Engineering, v. 139, no. 10, p. 1062-1070, https://doi.org/10.1061/(ASCE)HY.1943-7900.0000752.","productDescription":"9 p.","startPage":"1062","endPage":"1070","numberOfPages":"9","ipdsId":"IP-044176","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":278492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278491,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)HY.1943-7900.0000752"}],"country":"United States","state":"Missouri","city":"St. Louis","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.320515,38.532322 ], [ -90.320515,38.774346 ], [ -90.166721,38.774346 ], [ -90.166721,38.532322 ], [ -90.320515,38.532322 ] ] ] } } ] }","volume":"139","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"526f8779e4b0493c992ecdaa","contributors":{"authors":[{"text":"Wastson, Chester C.","contributorId":102376,"corporation":false,"usgs":true,"family":"Wastson","given":"Chester","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":476188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":1624,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":476186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biedenham, David S.","contributorId":27782,"corporation":false,"usgs":true,"family":"Biedenham","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":476187,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198396,"text":"70198396 - 2013 - Testing the use of microfossils to reconstruct great earthquakes at Cascadia","interactions":[],"lastModifiedDate":"2018-08-21T16:20:06","indexId":"70198396","displayToPublicDate":"2013-01-01T16:21:30","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Testing the use of microfossils to reconstruct great earthquakes at Cascadia","docAbstract":"<p><span>Coastal stratigraphy from the Pacific Northwest of the United States contains evidence of sudden subsidence during ruptures of the Cascadia subduction zone. Transfer functions (empirical relationships between assemblages and elevation) can convert microfossil data into coastal subsidence estimates. Coseismic deformation models use the subsidence values to constrain earthquake magnitudes. To test the response of foraminifera, the accuracy of the transfer function method, and the presence of a pre-seismic signal, we simulated a great earthquake near Coos Bay, Oregon, by transplanting a bed of modern high salt-marsh sediment into the tidal flat, an elevation change that mimics a coseismic subsidence of 0.64 m. The transplanted bed was quickly buried by mud; after 12 mo and 5 yr, we sampled it for foraminifera. Reconstruction of the simulated coseismic subsidence using our transfer function was 0.61 m, nearly identical to the actual elevation change. Our transplant experiment, and additional analyses spanning the A.D. 1700 earthquake contact at the nearby Coquille River 15 km to the south, show that sediment mixing may explain assemblage changes previously interpreted as evidence of pre-seismic land-level change in Cascadia and elsewhere.</span></p>","language":"English","publisher":"Geological Survey of America","doi":"10.1130/G34544.1","usgsCitation":"Engelhart, S.E., Horton, B.P., Nelson, A.R., Hawkes, A.D., Witter, R., Wang, K., Wang, P., and Vane, C.H., 2013, Testing the use of microfossils to reconstruct great earthquakes at Cascadia: Geology, v. 41, no. 10, p. 1067-1070, https://doi.org/10.1130/G34544.1.","productDescription":"4 p.","startPage":"1067","endPage":"1070","ipdsId":"IP-046321","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":473983,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/output/1285333","text":"External Repository"},{"id":356121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fd37fe4b0f5d57878edba","contributors":{"authors":[{"text":"Engelhart, S. E.","contributorId":206643,"corporation":false,"usgs":false,"family":"Engelhart","given":"S.","email":"","middleInitial":"E.","affiliations":[{"id":37366,"text":"Sea Level Reserach Dept of Geosciences U of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":741345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horton, B. P","contributorId":193401,"corporation":false,"usgs":false,"family":"Horton","given":"B.","email":"","middleInitial":"P","affiliations":[],"preferred":false,"id":741455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":741339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawkes, A. D.","contributorId":206639,"corporation":false,"usgs":false,"family":"Hawkes","given":"A.","email":"","middleInitial":"D.","affiliations":[{"id":37362,"text":"Geography and Geology,U of North Carolina","active":true,"usgs":false}],"preferred":false,"id":741341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":741456,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, K.","contributorId":206641,"corporation":false,"usgs":false,"family":"Wang","given":"K.","email":"","affiliations":[{"id":37364,"text":"Pacific Geoscience Center Geological Survery of Canada","active":true,"usgs":false}],"preferred":false,"id":741343,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, P.-L.","contributorId":206642,"corporation":false,"usgs":false,"family":"Wang","given":"P.-L.","email":"","affiliations":[{"id":37365,"text":"Dept of Geosciences, National Taiwan University.","active":true,"usgs":false}],"preferred":false,"id":741344,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vane, C. H.","contributorId":206640,"corporation":false,"usgs":false,"family":"Vane","given":"C.","email":"","middleInitial":"H.","affiliations":[{"id":37363,"text":"British Geological Survey, Nottingham UK","active":true,"usgs":false}],"preferred":false,"id":741342,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70048255,"text":"70048255 - 2013 - Status of a reconnaissance field study of the Susitna basin, 2011","interactions":[],"lastModifiedDate":"2023-06-05T16:08:38.338897","indexId":"70048255","displayToPublicDate":"2013-01-01T16:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Status of a reconnaissance field study of the Susitna basin, 2011","docAbstract":"<p>The Alaska Division of Geological & Geophysical Surveys (DGGS) and Alaska Division of Oil and Gas\n(DOG), in collaboration with the U.S. Geological Survey (USGS) performed reconnaissance field studies for ten\ndays in late June 2011, in the Susitna basin, directly north of Cook Inlet, south-central Alaska (fig. 1). The purpose\nof our investigation was to reconnoiter outcrops in the basin and along its periphery to gather new information\ntowards understanding the basin formation history and stratigraphy. This reconnaissance data represents the first\nstep toward better understanding the basin’s hydrocarbon potential, a key component of DGGS’s multi-year In-\nState Gas Program. This program is focused on collecting baseline geologic information from potential frontier\ngas basins to encourage new exploration to help, in part, reduce the high cost of energy in rural Alaska. Our work\nrepresents the first season of this three-year project. Preliminary results from year two, a companion project within\nthe Nenana and Tanana basins in interior Alaska, are described by Wartes and others (2013). DGGS plans to return\nto the Susitna basin for follow-up fieldwork during the third and final year of the program.</p>\n<br>\n<p>The motivation for developing a better understanding of the Susitna basin stems from the recognition that\nthe Susitna basin shares similar age coal-bearing strata with the adjacent, petroliferous Cook Inlet forearc basin\n(Barnes, 1966; Reed and Nelson, 1980) and with exhumed strata in the Matanuska Valley forearc basin (Trop and\nothers, 2003) (figs. 1 and 2). Cook Inlet basin has eight producing oil fields, more than 25 producing gas fields,\nand likely contains many additional undiscovered oil and gas accumulations (LePain and others, in press). Most\nof the Cook Inlet gas is of microbial origin and apparently was sourced from abundant coalbeds of primarily\nMiocene age in the Tyonek, Beluga, and Sterling Formations (Claypool and others, 1980; Magoon, 1994). If the\nbiogenic gas model for Cook Inlet is applicable to the Susitna basin, then the latter may be a viable source for\nAlaska Railbelt and rural energy needs.</p>\n<br>\n<p>This brief overview report summarizes the reconnaissance field data collected in the Susitna basin during the\nfirst summer of the program. As the data are developed, this report will be followed by interpretive technical reports\naddressing the stratigraphy, reservoir quality, coal quality and gas potential, hydrocarbon seal integrity, subsurface\nstructure, and uplift history of the basin and sub-basin margins.</p>","language":"English","publisher":"Alaska Division of Geological and Geophysical Surveys","publisherLocation":"Fairbanks, AK","doi":"10.14509/25015","usgsCitation":"Gillis, R., Stanley, R.G., LePain, D., Mauel, D.J., Herriott, T., Helmold, K.P., Peterson, C.S., Wartes, M.A., and Shellenbaum, D.P., 2013, Status of a reconnaissance field study of the Susitna basin, 2011, 8 p., https://doi.org/10.14509/25015.","productDescription":"8 p.","numberOfPages":"12","ipdsId":"IP-042889","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":473985,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/25015","text":"Publisher Index Page"},{"id":287641,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Susitna Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -152.0762,61.2797 ], [ -152.0762,62.9966 ], [ -147.3878,62.9966 ], [ -147.3878,61.2797 ], [ -152.0762,61.2797 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385b401e4b09e18fc023aaa","contributors":{"authors":[{"text":"Gillis, Robert J.","contributorId":69438,"corporation":false,"usgs":true,"family":"Gillis","given":"Robert J.","affiliations":[],"preferred":false,"id":484184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":484179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LePain, David L.","contributorId":105209,"corporation":false,"usgs":true,"family":"LePain","given":"David L.","affiliations":[],"preferred":false,"id":484187,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mauel, David J.","contributorId":99049,"corporation":false,"usgs":true,"family":"Mauel","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484186,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herriott, Trystan M.","contributorId":68845,"corporation":false,"usgs":true,"family":"Herriott","given":"Trystan M.","affiliations":[],"preferred":false,"id":484183,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Helmold, Kenneth P.","contributorId":69456,"corporation":false,"usgs":true,"family":"Helmold","given":"Kenneth","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484185,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peterson, C. Shaun","contributorId":54100,"corporation":false,"usgs":true,"family":"Peterson","given":"C.","email":"","middleInitial":"Shaun","affiliations":[],"preferred":false,"id":484182,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wartes, Marwan A.","contributorId":47476,"corporation":false,"usgs":true,"family":"Wartes","given":"Marwan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484181,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shellenbaum, Diane P.","contributorId":45225,"corporation":false,"usgs":true,"family":"Shellenbaum","given":"Diane","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484180,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70043344,"text":"70043344 - 2013 - Vegetation projections for Wind Cave National Park with three future climate scenarios: Final report in completion of Task Agreement J8W07100052","interactions":[],"lastModifiedDate":"2021-03-04T14:44:57.232009","indexId":"70043344","displayToPublicDate":"2013-01-01T15:36:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":272,"text":"National Park Service Natural Resource Technical Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"NPS/WICA/NRTRT--2013/681","title":"Vegetation projections for Wind Cave National Park with three future climate scenarios: Final report in completion of Task Agreement J8W07100052","docAbstract":"<h1>Introduction</h1>\n<p>The effects of climate change on the natural resources protected by Parks will likely be substantial, but geographically variable, due to local variation in climate trajectories and differences among ecosystems in their vulnerability to climate change. The projections of general circulation models (GCMs) indicate the possible magnitude and direction of future climate change for a region, but the utility of these projections for more local scales, those of individual National Park Service (NPS) units, are more uncertain because the coarse-scale GCMs lack much of the topographic detail that alters local climates. In addition, complex, interacting effects of temperature, precipitation, atmospheric CO<sub>2</sub> concentrations, fire, and herbivores on the vegetation that is the foundational natural resource of many NPS units present challenges in assessing the effects of projected future climates on plant and animal assemblages managed by the NPS.</p>\n<p>In spring 2009, Wind Cave National Park (WICA) served as a case study in a workshop assessing the use of scenario planning as a tool for park management planning in the face of rapidly changing climate. One outcome of the workshop was the recognized need for quantitative models to better understand the range of possible vegetation changes under different future climates and management decisions. This report addresses this need; it describes our adaptation of a dynamic global vegetation model (DGVM) to WICA vegetation and the resulting projections of future vegetation under three future climate scenarios and 11 management scenarios determined by Park natural resource managers.</p>\n<p>Wind Cave National Park lies along a narrow transition zone between the ponderosa pine (Pinus ponderosa) forests of the Black Hills and the mixed grass prairie that once extended with few interruptions over the lower, gentler terrain, subject to warmer, drier climate to the east and south of the Park. The location and character of this transition is strongly influenced by fire frequency and intensity (Brown and Sieg 1999). Furthermore, the mixed grass prairie occupies a broader transition zone between eastern tallgrass prairie and the shortgrass prairie of the western Great Plains. The dominance of species characteristic of these two prairie types varies with soil moisture availability, evaporative demand, and recent grazing history (Cogan et al. 1999). In addition, Wind Cave lies near the midpoint of a long gradient of C<sub>3</sub> (cool season) grass dominance to the north and C<sub>4</sub> (warm season) grass dominance to the south.</p>\n<p>The ecotonal position of WICA may make it particularly sensitive to climate change. For example, small changes in fire frequency and/or intensity and the vigor of trees vs. grass could dramatically shift the proportions of these two lifeforms. The Park hydrology is also sensitive to changes in the balance between infiltration of precipitation and evapotranspiration, as on average, only a small fraction of annual precipitation reaches the deeper soil layers that feed permanent streamflow. The resources at risk at Wind Cave NP include the Cave itself, as well as small backcountry caves, a genetically important bison herd, and other prairie species including the black-tailed prairie dog and endangered black-footed ferrets. All of these resources will be directly affected by climate change impacts on vegetation and hydrology.</p>\n<p>Natural resource management challenges at WICA are substantial, diverse, and intertwined. Aboveground, the park has been recognized as exemplary for its high quality vegetation (Marriot et al. 1999), though the park is relatively small for the diversity of vegetation types and species that it supports. Even without a changing climate, maintaining the integrity of the plant communities is complicated by the park&rsquo;s legislated responsibility to maintain viable populations of bison, elk and pronghorn. In addition, the federally endangered black-footed ferret was recently re-introduced to the park. This species requires large extents of prairie dog towns for prey and habitat. Prairie dogs impact vegetation by constant clipping, grazing and soil disturbance, thereby affecting plant composition and productivity. Moreover, naturally high interannual climate variability and the strong influence of precipitation on grass productivity in this region combine to yield high interannual variability in the amount of forage available for the wildlife that the park is tasked to maintain. Finally, fire, which is now primarily controlled by WICA and NPS Northern Great Plains fire management programs, is intertwined with all other natural resource issues at WICA, as it can impact prairie dog colony and forest expansion, ungulate foraging behavior, invasive plant species, and hydrological processes.</p>\n<p>Although not capable of capturing all of these complexities, dynamic vegetation models do provide a means for quantitatively projecting vegetation futures in future climates under plausible fire and grazing regimes. Our work uses the DGVM MC1 to simulate the effects of future climate projections and management practices on the vegetation of WICA. MC1 is designed to project potential vegetation as influenced by natural processes and hence is appropriate for national parks, where conservation of native biota and ecosystems is of great importance.</p>\n<p>Since the initial application of MC1 to a small portion of WICA (Bachelet et al. 2000), the model has been altered to improve model performance with the inclusion of dynamic fire. Applying this improved version to WICA required substantial recalibration, during which we have made a number of improvements to MC1 that will be incorporated as permanent changes. In this report we document these changes and our calibration procedure following a brief overview of the model. We compare the projections of current vegetation to the current state of the park and present projections of vegetation dynamics under future climates downscaled from three GCMs selected to represent the existing range in available GCM projections. In doing so, we examine the consequences of different management options regarding fire and grazing, major aspects of biotic management at Wind Cave.</p>","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"King, D.A., Bachelet, D.M., and Symstad, A., 2013, Vegetation projections for Wind Cave National Park with three future climate scenarios: Final report in completion of Task Agreement J8W07100052: National Park Service Natural Resource Technical Report NPS/WICA/NRTRT--2013/681, x, 58 p.","productDescription":"x, 58 p.","numberOfPages":"73","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041469","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":275526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":383826,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2192953"}],"country":"United States","state":"South Dakota","otherGeospatial":"Wind Cave National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.550635,43.497251 ], [ -103.550635,43.640543 ], [ -103.337034,43.640543 ], [ -103.337034,43.497251 ], [ -103.550635,43.497251 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f78eede4b02e26443a93d4","contributors":{"authors":[{"text":"King, David A.","contributorId":7160,"corporation":false,"usgs":true,"family":"King","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":473447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bachelet, Dominique M.","contributorId":89042,"corporation":false,"usgs":true,"family":"Bachelet","given":"Dominique","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":473449,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Symstad, Amy J.","contributorId":11721,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy J.","affiliations":[],"preferred":false,"id":473448,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70095609,"text":"70095609 - 2013 - Mount Rainier National Park and Olympic National Park elk monitoring program annual report 2011","interactions":[],"lastModifiedDate":"2014-05-27T15:47:32","indexId":"70095609","displayToPublicDate":"2013-01-01T15:28:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":52,"text":"Natural Resource Data Series","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NCCN/NRDS-2013/437","title":"Mount Rainier National Park and Olympic National Park elk monitoring program annual report 2011","docAbstract":"<p>Fiscal year 2011 was the first year of implementing an approved elk monitoring protocol in \nMount Rainier (MORA) and Olympic (OLYM) National Parks in the North Coast and Cascades \nNetwork (NCCN) (Griffin et al. 2012). However, it was the fourth and second year of gathering \ndata according to protocol in MORA and OLYM respectively; data gathered during the protocol \ndevelopment phase followed procedures that are laid out in the protocol. Elk monitoring in these \nlarge wilderness parks relies on aerial surveys from a helicopter. Summer surveys are intended to \nprovide quantitative estimates of abundance, sex and age composition, and distribution of \nmigratory elk in high elevation trend count areas.</p>\n<br>\n<p>An unknown number of elk is not detected during surveys; however the protocol estimates the \nnumber of missed elk by applying a model that accounts for detection bias. Detection bias in elk \nsurveys in MORA is estimated using a double-observer sightability model that was developed \nusing survey data from 2008-2010 (Griffin et al. 2012). That model was developed using elk that \nwere previously equipped with radio collars by cooperating tribes. At the onset of protocol \ndevelopment in OLYM there were no existing radio-collars on elk. Consequently the majority of \nthe effort in OLYM in the past 4 years has been focused on capturing and radio-collaring elk and \nconducting sightability trials needed to develop a double-observer sightability model in OLYM. \nIn this annual report we provide estimates of abundance and composition for MORA elk, raw \ncounts of elk made in OLYM, and describe sightability trials conducted in OLYM.</p>\n<br>\n<p>At MORA the North trend count area was surveyed twice and the South once (North Rainier \nherd, and South Rainier herd). We counted 373 and 267 elk during two replicate surveys of the \nNorth Rainier herd, and 535 elk in the South Rainier herd. Using the model, we estimated that \n413 and 320 elk were in the North and 652 elk were in the South trend count areas during the \ntime of the respective surveys. </p>\n<br>\n<p>At OLYM, the Core and Northwest trend count areas were completely surveyed, as were \nportions of the Quinault. In addition, we surveyed 10 survey units specifically to get resight data. \nTwo-hundred and forty eight elk were counted in the Core, 19 in the Northwest, and 169 in the \nQuinault. We conducted double-observer sightability trials associated with 14 collared elk \ngroups for use in developing the double-observer sightability model for OLYM.</p>","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Happe, P.J., Reid, M., Griffin, P., Jenkins, K.J., Vales, D.J., Moeller, B.J., Tirhi, M., and McCorquodale, S., 2013, Mount Rainier National Park and Olympic National Park elk monitoring program annual report 2011: Natural Resource Data Series NPS/NCCN/NRDS-2013/437, ix, 21 p.","productDescription":"ix, 21 p.","numberOfPages":"34","ipdsId":"IP-043404","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":287636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287635,"type":{"id":15,"text":"Index Page"},"url":"https://data.doi.gov/dataset/mount-rainier-national-park-and-olympic-national-park-elk-monitoring-program-annual-report-5c94a"}],"country":"United States","state":"Washington","otherGeospatial":"Mount Rainier National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.921037,46.707817 ], [ -121.921037,47.001077 ], [ -121.442875,47.001077 ], [ -121.442875,46.707817 ], [ -121.921037,46.707817 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385b3f9e4b09e18fc023a6a","contributors":{"authors":[{"text":"Happe, Patricia J.","contributorId":50983,"corporation":false,"usgs":false,"family":"Happe","given":"Patricia","email":"","middleInitial":"J.","affiliations":[{"id":16133,"text":"National Park Service, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":491317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reid, Mason","contributorId":51639,"corporation":false,"usgs":true,"family":"Reid","given":"Mason","affiliations":[],"preferred":false,"id":491318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffin, Paul C.","contributorId":7802,"corporation":false,"usgs":true,"family":"Griffin","given":"Paul C.","affiliations":[],"preferred":false,"id":491314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenkins, Kurt J. 0000-0003-1415-6607 kurt_jenkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":3415,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","email":"kurt_jenkins@usgs.gov","middleInitial":"J.","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}],"preferred":true,"id":491313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vales, David J.","contributorId":74662,"corporation":false,"usgs":true,"family":"Vales","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":491319,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moeller, Barbara J.","contributorId":87446,"corporation":false,"usgs":true,"family":"Moeller","given":"Barbara","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":491320,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tirhi, Michelle","contributorId":28168,"corporation":false,"usgs":false,"family":"Tirhi","given":"Michelle","affiliations":[{"id":13269,"text":"Washington Department of Fish & Wildlife","active":true,"usgs":false}],"preferred":false,"id":491315,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCorquodale, Scott","contributorId":28515,"corporation":false,"usgs":true,"family":"McCorquodale","given":"Scott","affiliations":[],"preferred":false,"id":491316,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70058718,"text":"70058718 - 2013 - GEM Building Taxonomy (Version 2.0)","interactions":[],"lastModifiedDate":"2014-04-14T16:05:45","indexId":"70058718","displayToPublicDate":"2013-01-01T15:13:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":253,"text":"GEM Technical Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"2013-02","title":"GEM Building Taxonomy (Version 2.0)","docAbstract":"<p>This report documents the development and applications of the Building Taxonomy for the Global Earthquake Model (GEM). The purpose of the GEM Building Taxonomy is to describe and classify buildings in a uniform manner as a key step towards assessing their seismic risk, Criteria for development of the GEM Building Taxonomy were that the Taxonomy be relevant to seismic performance of different construction types; be comprehensive yet simple; be collapsible; adhere to principles that are familiar to the range of users; and ultimately be extensible to non-buildings and other hazards. The taxonomy was developed in conjunction with other GEM researchers and builds on the knowledge base from other taxonomies, including the EERI and IAEE World Housing Encyclopedia, PAGER-STR, and HAZUS.</p>\n<br>\n<p>The taxonomy is organized as a series of expandable tables, which contain information pertaining to various building attributes. Each attribute describes a specific characteristic of an individual building or a class of buildings that could potentially affect their seismic performance. The following 13 attributes have been included in the GEM Building Taxonomy Version 2.0 (v2.0): 1.) direction, 2.)material of the lateral load-resisting system, 3.) lateral load-resisting system, 4.) height, 5.) date of construction of retrofit, 6.) occupancy, 7.) building position within a block, 8.) shape of the building plan, 9.) structural irregularity, 10.) exterior walls, 11.) roof, 12.) floor, 13.) foundation system.</p>\n<br>\n<p>The report illustrates the pratical use of the GEM Building Taxonomy by discussing example case studies, in which the building-specific characteristics are mapped directly using GEM taxonomic attributes and the corresponding taxonomic string is constructed for that building, with \"/\" slash marks separating attributes. For example, for the building shown to the right, the GEM Taxonomy string is:</p>\n<br>\n<p>DX<sup>1</sup>/MUR+CLBRS+MOCL<sup>2</sup>/LWAL<sup>3</sup>/</p>\n<p>DY/MUR+CLBRS+MOCL/LWAL/YPRE:1939<sup>4</sup>/HEX:2<sup>5</sup>/RES<sup>6</sup></p>\n<p>/<sup>7</sup>/<sup>8</sup>/IRRE<sup>9</sup>/10/RSH3+RWO2<sup>11</sup>/FW<sup>12</sup>/<sup>13</sup>/</p>\n<br>\n<p>which can be read as (1) Direction = [DX or DY] (the building has the same lateral load-resisting system in both directions); (2) Material = [Unreinforced Masonry + solid fired clay bricks + cement: lime mortar]; (3) Lateral Load-Resisting System = [Wall]; (4) Date of construction = [pre-1939]; (5) Heaight = [exactly 2 storeys]; (6) Occupancy = [residential, unknown type]; (7) Building Position = [unknown = no entry]; (8) Shape of building plan = [unknown = no entry]; (9) Structural irregularity = [regular]; (10) Exterior walls = [unknown = no entry]; (11) Roof = [Shape: pitched and hipped, Roof covering: clay tiles, Roof system material: wood, Roof system type: wood trusses]; (12) Floor = [Floor system: Wood, unknown]; (13) Foundation = [unknown = no entry].</p>\n<br>\n<p>Mapping of GEM Building Taxonomy to selected taxonomies is included in the report -- for example, the above building would be referenced by previous structural taxonomies as: PAGER-STR as UFB or UFB4, by the World Housing Encyclopedia as 7 or 8 and by the European Macroseismic Scale (98) as M5. The Building Taxonomy data model is highly flexible and has been incorporated within a relational database architecture. Due to its ability to represent building typologies using a shorthand form, it is also possible to use the taxonomy for non-database applications, and we discuss possible application of adaptation for Building Information Modelling (BIM) systems, and for the insurance industry.</p>\n<br>\n<p>The GEM Building Taxonomy was independently evaluated and tested by the Earthquake Engineering Research Institute (EERI), which received 217 TaxT reports from 49 countries, representing a wide range of building typologies, including single and multi-storey buildings, reinforced and unreinforced masonry, confined masonry, concrete, steel, wood, and earthern buildings used for residential, commercial, industrial, and educational occupancy.  Based on these submissions and other feedback, the EERI team validated that the GEM Building Taxonomy is highly functional, robust and able to describe different buildings around the world.</p>\n<br>\n<p>The GEM Building Taxonomy is accompanied by supplementary resources. All terms have been explained in a companion online Glossary, which provides both text and graphic descriptions. The Taxonomy is accompanied by TaxT, a computer application that enables a user record information about a building or a building typology using the attributes of the GEM Building Taxonomy v2.0. TaxT can generate a taxonomy string and enable a user to generate a report in PDF format which summarizes the attribute values (s)he has chosen as representative of the building typology under consideration.</p>\n<br>\n<p>The report concludes with recommendations for future development of the GEM Building Taxonomy. Appendices provide the detailed GEM Building Taxonomy tables and additional resource, as well as mappings to other taxonomies.</p>","language":"English","publisher":"GEM Foundation","usgsCitation":"Brzev, S., Scawthorn, C., Charleson, A., Allen, L., Greene, M., Jaiswal, K., and Silva, V., 2013, GEM Building Taxonomy (Version 2.0) (Version 1.0): GEM Technical Report 2013-02, xiii, 163 p.","productDescription":"xiii, 163 p.","numberOfPages":"180","ipdsId":"IP-051658","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":286345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286344,"type":{"id":15,"text":"Index Page"},"url":"https://www.globalquakemodel.org/resources/publications/technical-reports/gem-building-taxonomy-report/"}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5355943ae4b0120853e8bf91","contributors":{"authors":[{"text":"Brzev, S.","contributorId":47291,"corporation":false,"usgs":true,"family":"Brzev","given":"S.","email":"","affiliations":[],"preferred":false,"id":487301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scawthorn, C.","contributorId":65763,"corporation":false,"usgs":true,"family":"Scawthorn","given":"C.","email":"","affiliations":[],"preferred":false,"id":487302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Charleson, A.W.","contributorId":23845,"corporation":false,"usgs":true,"family":"Charleson","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":487300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, L.","contributorId":76225,"corporation":false,"usgs":true,"family":"Allen","given":"L.","email":"","affiliations":[],"preferred":false,"id":487303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Greene, M.","contributorId":85069,"corporation":false,"usgs":true,"family":"Greene","given":"M.","email":"","affiliations":[],"preferred":false,"id":487304,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jaiswal, Kishor kjaiswal@usgs.gov","contributorId":861,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":487298,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Silva, V.","contributorId":13136,"corporation":false,"usgs":true,"family":"Silva","given":"V.","affiliations":[],"preferred":false,"id":487299,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70048487,"text":"70048487 - 2013 - Use and interpretation of climate envelope models: a practical guide","interactions":[],"lastModifiedDate":"2014-06-20T14:19:14","indexId":"70048487","displayToPublicDate":"2013-01-01T15:06:52","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Use and interpretation of climate envelope models: a practical guide","docAbstract":"This guidebook is intended to provide a practical overview of climate envelope modeling for conservation \nprofessionals and natural resource managers. The material is intended for people with little background or \nexperience in climate envelope modeling who want to better understand and interpret models developed by \nothers and the results generated by such models, or want to do some modeling themselves. This is not an \nexhaustive review of climate envelope modeling, but rather a brief introduction to some key concepts in the \ndiscipline. Readers interested in a more in-depth treatment of much of the material presented here are referred \nto an excellent book, <i>Mapping Species Distributions: Spatial Inference and Prediction</i> by Janet Franklin. Also, a \nrecent review (Araújo & Peterson 2012) provides an excellent, though more technical, discussion of many of the \nissues dealt with here. Here we treat selected topics from a practical perspective, using minimal jargon to explain \nand illustrate some of the many issues that one has to be aware of when using climate envelope models. When \nwe do introduce specialized terminology in the guidebook, we bold the term when it is first used; a glossary of \nthese terms is included at the back of the guidebook.","language":"English","publisher":"University of Florida","publisherLocation":"Ft Lauderdale, FL","usgsCitation":"Watling, J., Brandt, L., Mazzotti, F., and Romañach, S., 2013, Use and interpretation of climate envelope models: a practical guide, 43 p.","productDescription":"43 p.","numberOfPages":"43","ipdsId":"IP-041827","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":279199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279198,"type":{"id":15,"text":"Index Page"},"url":"https://crocdoc.ifas.ufl.edu/projects/climateenvelopemodeling/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528c96bfe4b0c629af44de15","contributors":{"authors":[{"text":"Watling, James I.","contributorId":101963,"corporation":false,"usgs":true,"family":"Watling","given":"James I.","affiliations":[],"preferred":false,"id":484816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, Laura A.","contributorId":18608,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura A.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":484813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":484815,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romañach, Stephanie S.","contributorId":76064,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie S.","affiliations":[],"preferred":false,"id":484814,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70058720,"text":"70058720 - 2013 - Metadata for selecting or submitting generic seismic vulnerability functions via GEM's vulnerability database","interactions":[],"lastModifiedDate":"2014-04-14T15:10:07","indexId":"70058720","displayToPublicDate":"2013-01-01T15:06:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Metadata for selecting or submitting generic seismic vulnerability functions via GEM's vulnerability database","docAbstract":"This memo lays out a procedure for the GEM software to offer an available vulnerability function for any acceptable set of attributes that the user specifies for a particular building category. The memo also provides general guidelines on how to submit the vulnerability or fragility functions to the GEM vulnerability repository, stipulating which attributes modelers must provide so that their vulnerability or fragility functions can be queried appropriately by the vulnerability database. An important objective is to provide users guidance on limitations and applicability by providing the associated modeling assumptions and applicability of each vulnerability or fragility function.","language":"English","publisher":"GEM","usgsCitation":"Jaiswal, K., 2013, Metadata for selecting or submitting generic seismic vulnerability functions via GEM's vulnerability database (Version 2.0), iv, 12 p.","productDescription":"iv, 12 p.","numberOfPages":"18","ipdsId":"IP-045656","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":286343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286342,"type":{"id":15,"text":"Index Page"},"url":"https://www.nexus.globalquakemodel.org/gem-vulnerability/posts/metadata-for-selecting-or-submitting-vulnerability-fragility-functions-into-gem-vulnerability-database"}],"edition":"Version 2.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535594b5e4b0120853e8c07d","contributors":{"authors":[{"text":"Jaiswal, Kishor kjaiswal@usgs.gov","contributorId":861,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":487305,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70057592,"text":"70057592 - 2013 - Adaptive harvest management for the Svalbard population of pink-footed geese: briefing summary","interactions":[],"lastModifiedDate":"2014-04-11T15:21:55","indexId":"70057592","displayToPublicDate":"2013-01-01T15:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Adaptive harvest management for the Svalbard population of pink-footed geese: briefing summary","docAbstract":"<p>The African-Eurasian Waterbird Agreement (AEWA; http://www.unep-aewa.org/) calls for means to manage populations which cause conflicts with certain human economic activities. The Svalbard population of the pink-footed goose has been selected as the first test case for such an international species management plan to be developed. This document describes progress to date on the development of an adaptive harvest management (AHM) strategy for maintaining pink-footed goose abundance near their target level by providing for sustainable harvasts in Norway and Denmark. This briefing supplements material provided in the Progress Summary distributed to the International Working Group on February 1, 2013.</p>\n<br>\n<p>We emphasize that peer review is an essential aspect of the process of developing and implementing an AHM program for pink-footed geese, and we will continue to solicit reviews by the International Working Group and their staff, as well as scientists not engaged in this effort. We wish to make the Working Group aware the the following two manuscripts have been submitted recently to refereed journals and are available upon request from the senior authors:</p>\n<br>\n<p>Jensen, G.H., J. Madsen, F.A. Johnson, and M. Tamstorf. Snow conditions as an estimator of the breeding output in high-Arctic pink-footed geese Anser brachyrhynchus. Polar Biology: In review.</p>\n<br>\n<p>Johnson, F.A., G.H. Jensen, J. Madsen, and B.K. Williams. Uncertainity, robustness, and the value of information in managing an expanding Arctic goose population. Ecological Modeling: In review.</p>\n<br>\n<p>In addition to these manuscripts, the Progress Summary (February 1, 2013), and this Briefing Summary (April 23, 2013) an annual report will be produced in August 2013 and every summer thereafter. Additional manuscripts for journal publication are also anticipated.","language":"English","publisher":"AEWA","usgsCitation":"Johnson, F.A., 2013, Adaptive harvest management for the Svalbard population of pink-footed geese: briefing summary, 13 p.","productDescription":"13 p.","numberOfPages":"13","ipdsId":"IP-045930","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":286307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53558fc3e4b0120853e8be20","contributors":{"authors":[{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":486827,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70095527,"text":"70095527 - 2013 - Status and trends monitoring of the mainstem Columbia River: sample frame development and review of programs relevant to the development of an integrated approach to monitoring","interactions":[],"lastModifiedDate":"2014-05-28T15:07:22","indexId":"70095527","displayToPublicDate":"2013-01-01T15:03:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":205,"text":"PNAMP Report Series","active":false,"publicationSubtype":{"id":3}},"seriesNumber":"2013-003","title":"Status and trends monitoring of the mainstem Columbia River: sample frame development and review of programs relevant to the development of an integrated approach to monitoring","docAbstract":"Implementing an Integrated Status and Trends Monitoring program (ISTM) \nfor the mainstem Columbia River will help identify trends in important natural resources and \nhelp us understand the long-term collective effects of management actions. In this report, we \npresent progress towards the completion of a stepwise process that will facilitate the \ndevelopment of an ISTM for the mainstem Columbia River. We discuss planning and regulatory \ndocuments that can be used to identify monitoring goals and objectives and present existing \nmonitoring and research activities that should be considered as the development of a Columbia \nRiver ISTM proceeds. We also report progress towards the development of sample frames for \nthe Columbia and Snake Rivers and their floodplains. The sample frames were formulated using \nDigital Elevation Models (DEM’s) of the river channel and upland areas and a Generalized \nRandom-Tessellation Stratified (GRTS) algorithm for an area based resource to generate \n“master sample(s).” Working with the Pacific Northwest Aquatic Monitoring Partnership \n(PNAMP) we facilitated the transfer of the sample frames to the PNAMP “Monitoring Sample \nDesigner” tool. We then discuss aspects of response and survey designs as they pertain to the \nformulation of a mainstem Columbia River ISTM. As efforts to formulate an ISTM for the \nmainstem Columbia River proceed, practitioners should utilize the extensive literature \ndescribing the planning and implementation of fish and wildlife mitigation and recovery efforts \nin the Columbia River Basin. While we make progress towards establishing an ISTM framework, \nconsiderable work needs to be done to formulate an ISTM program for the mainstem Columbia \nRiver. Long-term monitoring programs have been established for other large rivers systems; \nscientists that have experience planning, implementing, and maintaining large river monitoring \nefforts such as those in the Colorado, Illinois, and Mississippi Rivers should be consulted and \ninvolved as efforts proceed.","language":"English","publisher":"Pacific Northwest Aquatic Monitoring Partnership","usgsCitation":"Counihan, T.D., Hardiman, J.M., and Waste, S., 2013, Status and trends monitoring of the mainstem Columbia River: sample frame development and review of programs relevant to the development of an integrated approach to monitoring: PNAMP Report Series 2013-003, 33 p.","productDescription":"33 p.","numberOfPages":"33","ipdsId":"IP-046274","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":287705,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283358,"type":{"id":11,"text":"Document"},"url":"https://www.pnamp.org/sites/default/files/istm_mainstem_framework_final_2014-01-21.pdf"}],"country":"United States","state":"Idaho;Oregon;Washington","otherGeospatial":"Columbia River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.95,45.24 ], [ -123.95,49.0 ], [ -115.36,49.0 ], [ -115.36,45.24 ], [ -123.95,45.24 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53870571e4b0aa26cd7b53f3","contributors":{"authors":[{"text":"Counihan, Timothy D. 0000-0003-4967-6514 tcounihan@usgs.gov","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":4211,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy","email":"tcounihan@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":491245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hardiman, Jill M. 0000-0002-3661-9695 jhardiman@usgs.gov","orcid":"https://orcid.org/0000-0002-3661-9695","contributorId":2672,"corporation":false,"usgs":true,"family":"Hardiman","given":"Jill","email":"jhardiman@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":491244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waste, Stephen swaste@usgs.gov","contributorId":65387,"corporation":false,"usgs":true,"family":"Waste","given":"Stephen","email":"swaste@usgs.gov","affiliations":[],"preferred":false,"id":491246,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70058653,"text":"70058653 - 2013 - User's guide and metadata for WestuRe: U.S. Pacific Coast estuary/watershed data and R tools","interactions":[],"lastModifiedDate":"2016-05-04T15:26:52","indexId":"70058653","displayToPublicDate":"2013-01-01T14:22:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"User's guide and metadata for WestuRe: U.S. Pacific Coast estuary/watershed data and R tools","docAbstract":"<h1>Overview</h1>\n<p>There are about 350 estuaries along the U.S. Pacific Coast (U.S. Fish andWildlife 2011). Basic descriptive data for these estuaries, such as their size and watershed area, are important for coastal-scale research and conservation planning. However, this information is spread among many sources, making it difficult to find and standardize. The goal of the WestuRe Project is to provide a framework to: (1) make general descriptive data for estuaries and their watersheds more accessible, and (2) provide tools to make analyzing and visualizing these data easier.</p>\n<p>The WestuRe download includes data describing U.S. Pacific Coast estuaries and their corresponding watersheds from northern Washington (including the region located along the Strait of Juan de Fuca that goes from Port Townsend to Cape Flattery, 48.383&deg;N) to southern California (Tijuana Estuary, 32.557&deg;N), excluding Puget Sound proper and coastal islands (Fig. 1). The WestuRe data currently include shapefiles of estuary and watershed polygons as well as CSV files summarizing geomorphological and climate data (Fig. 2, Section 2). The WestuRe tools help users extract and view relevant data using the statistical program R and Google Earth (Fig. 3, Section 3).</p>\n<p>Potential applications of the data include:</p>\n<ul>\n<li>Describing and comparing estuaries and watersheds at the landscape scale</li>\n<li>Identifying relationships between estuary/watershed variables</li>\n<li>Incorporating estuary/watershed attributes in models to predict species and habitat distributions</li>\n<li>Classifying estuaries according to morphology, climate, and habitat (Lee and Brown 2009)</li>\n</ul>","language":"English","publisher":"Environmental Protection Agency","usgsCitation":"Frazier, M., Reusser, D., Lee, H., McCoy, L., Brown, C., and Nelson, W., 2013, User's guide and metadata for WestuRe: U.S. Pacific Coast estuary/watershed data and R tools, 41 p.","productDescription":"41 p.","numberOfPages":"42","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045236","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":320981,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://nepis.epa.gov/Exe/ZyNET.exe/P100JQKG.TXT?ZyActionD=ZyDocument&Client=EPA&Index=2011+Thru+2015&Docs=&Query=&Time=&EndTime=&SearchMethod=1&TocRestrict=n&Toc=&TocEntry=&QField=&QFieldYear=&QFieldMonth=&QFieldDay=&IntQFieldOp=0&ExtQFieldOp=0&XmlQuery=&File=D%3A%5Czyfiles%5CIndex%20Data%5C11thru15%5CTxt%5C00000010%5CP100JQKG.txt&User=ANONYMOUS&Password=anonymous&SortMethod=h%7C-&MaximumDocuments=1&FuzzyDegree=0&ImageQuality=r75g8/r75g8/x150y150g16/i425&Display=p%7Cf&DefSeekPage=x&SearchBack=ZyActionL&Back=ZyActionS&BackDesc=Results%20page&MaximumPages=1&ZyEntry=1&SeekPage=x&ZyPURL"},{"id":286335,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.79,32.47 ], [ -124.79,49.0 ], [ -114.59,49.0 ], [ -114.59,32.47 ], [ -124.79,32.47 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535595d7e4b0120853e8c2df","contributors":{"authors":[{"text":"Frazier, M.R.","contributorId":37647,"corporation":false,"usgs":true,"family":"Frazier","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":487218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reusser, D.A.","contributorId":61251,"corporation":false,"usgs":true,"family":"Reusser","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":487221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, H. II","contributorId":9077,"corporation":false,"usgs":true,"family":"Lee","given":"H.","suffix":"II","affiliations":[],"preferred":false,"id":487216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCoy, L.M.","contributorId":52885,"corporation":false,"usgs":true,"family":"McCoy","given":"L.M.","email":"","affiliations":[],"preferred":false,"id":487220,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, C.","contributorId":21484,"corporation":false,"usgs":true,"family":"Brown","given":"C.","affiliations":[],"preferred":false,"id":487217,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nelson, W.","contributorId":45365,"corporation":false,"usgs":true,"family":"Nelson","given":"W.","affiliations":[],"preferred":false,"id":487219,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048682,"text":"70048682 - 2013 - Pheromonal bile acid 3-ketopetromyzonol sulfate primes the neuroendocrine system in sea lamprey","interactions":[],"lastModifiedDate":"2013-10-29T14:12:27","indexId":"70048682","displayToPublicDate":"2013-01-01T14:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":957,"text":"BMC Neuroscience","active":true,"publicationSubtype":{"id":10}},"title":"Pheromonal bile acid 3-ketopetromyzonol sulfate primes the neuroendocrine system in sea lamprey","docAbstract":"Background\nVertebrate pheromones are known to prime the endocrine system, especially the hypothalamic-pituitary-gonadal (HPG) axis. However, no known pheromone molecule has been shown to modulate directly the synthesis or release of gonadotropin releasing hormone (GnRH), the main regulator of the HPG axis. We selected sea lamprey (Petromyzon marinus) as a model system to determine whether a single pheromone component alters the output of GnRH.\n\nSea lamprey male sex pheromones contain a main component, 7α, 12α, 24-trihydroxy-5α-cholan-3-one 24-sulfate (3 keto-petromyzonol sulfate or 3kPZS), which has been shown to modulate behaviors of mature females. Through a series of experiments, we tested the hypothesis that 3kPZS modulates both synthesis and release of GnRH, and subsequently, HPG output in immature sea lamprey.\n\nResults\nThe results showed that natural male pheromone mixtures induced differential steroid responses but facilitated sexual maturation in both sexes of immature animals (χ2 = 5.042, dF = 1, p < 0.05). Exposure to 3kPZS increased plasma 15α-hydroxyprogesterone (15α-P) concentrations (one-way ANOVA, p < 0.05) and brain gene expressions (genes examined: three lamprey (l) GnRH-I transcripts, lGnRH-III, Jun and Jun N-terminal kinase (JNK); one-way ANOVA, p < 0.05), but did not alter the number of GnRH neurons in the hypothalamus in immature animals. In addition, 3kPZS treatments increased lGnRH peptide concentrations in the forebrain and modulated their levels in plasma. Overall, 3kPZS modulation of HPG axis is more pronounced in immature males than in females.\n\nConclusions\nWe conclude that a single male pheromone component primes the HPG axis in immature sea lamprey in a sexually dimorphic manner.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"BMC Neuroscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"BioMed Central","doi":"10.1186/1471-2202-14-11","usgsCitation":"Yu-Wen Chung-Davidson, Wang, H., Siefkes, M.J., Bryan, M.B., Wu, H., Johnson, N.S., and Li, W., 2013, Pheromonal bile acid 3-ketopetromyzonol sulfate primes the neuroendocrine system in sea lamprey: BMC Neuroscience, v. 14, no. 11, 13 p., https://doi.org/10.1186/1471-2202-14-11.","productDescription":"13 p.","numberOfPages":"13","onlineOnly":"Y","ipdsId":"IP-043338","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":473989,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/1471-2202-14-11","text":"Publisher Index Page"},{"id":278555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278553,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1186/1471-2202-14-11"}],"volume":"14","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-01-20","publicationStatus":"PW","scienceBaseUri":"5270d908e4b0f7a10664fbda","contributors":{"authors":[{"text":"Yu-Wen Chung-Davidson","contributorId":128182,"corporation":true,"usgs":false,"organization":"Yu-Wen Chung-Davidson","id":535594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Huiyong","contributorId":79007,"corporation":false,"usgs":true,"family":"Wang","given":"Huiyong","affiliations":[],"preferred":false,"id":485418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Siefkes, Michael J.","contributorId":36905,"corporation":false,"usgs":true,"family":"Siefkes","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":485416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bryan, Mara B.","contributorId":19863,"corporation":false,"usgs":true,"family":"Bryan","given":"Mara","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":485414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wu, Hong","contributorId":21443,"corporation":false,"usgs":true,"family":"Wu","given":"Hong","affiliations":[],"preferred":false,"id":485415,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":485413,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Weiming","contributorId":65440,"corporation":false,"usgs":true,"family":"Li","given":"Weiming","affiliations":[],"preferred":false,"id":485417,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70111241,"text":"70111241 - 2013 - The geomorphic effectiveness of a large flood on the Rio Grande in the Big Bend region: insights on geomorphic controls and post-flood geomorphic response","interactions":[],"lastModifiedDate":"2022-01-21T12:16:05.402171","indexId":"70111241","displayToPublicDate":"2013-01-01T13:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"The geomorphic effectiveness of a large flood on the Rio Grande in the Big Bend region: insights on geomorphic controls and post-flood geomorphic response","docAbstract":"<p>Since the 1940s, the Rio Grande in the Big Bend region has undergone long periods of channel narrowing, which have been occasionally interrupted by rare, large floods that widen the channel (termed a channel reset). The most recent channel reset occurred in 2008 following a 17-year period of extremely low stream flow and rapid channel narrowing. Flooding was caused by precipitation associated with the remnants of tropical depression Lowell in the Rio Conchos watershed, the largest tributary to the Rio Grande. Floodwaters approached 1500 m3/s (between a 13 and 15 year recurrence interval) and breached levees, inundated communities, and flooded the alluvial valley of the Rio Grande; the wetted width exceeding 2.5 km in some locations. The 2008 flood had the 7th largest magnitude of record, however, conveyed the largest volume of water than any other flood. Because of the narrow pre-flood channel conditions, record flood stages occurred.</p><p>We used pre- and post-flood aerial photographs, channel and floodplain surveys, and 1-dimensional hydraulic models to quantify the magnitude of channel change, investigate the controls of flood-induced geomorphic changes, and measure the post-flood response of the widened channel. These analyses show that geomorphic changes included channel widening, meander migration, avulsions, extensive bar formation, and vertical floodplain accretion. Reach-averaged channel widening between 26 and 52% occurred, but in some localities exceeded 500%. The degree and style of channel response was related, but not limited to, three factors: 1) bed-load supply and transport, 2) pre-flood channel plan form, and 3) rapid declines in specific stream power downstream of constrictions and areas of high channel bed slope. The post-flood channel response has consisted of channel contraction through the aggradation of the channel bed and the formation of fine-grained benches inset within the widened channel margins. The most significant post-flood geomorphic changes have occurred at and downstream from ephemeral tributaries that contribute large volumes of sediment.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geomorphology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2013.06.020","usgsCitation":"Dean, D.J., and Schmidt, J.C., 2013, The geomorphic effectiveness of a large flood on the Rio Grande in the Big Bend region: insights on geomorphic controls and post-flood geomorphic response: Geomorphology, v. 201, p. 183-198, https://doi.org/10.1016/j.geomorph.2013.06.020.","productDescription":"16 p.","startPage":"183","endPage":"198","numberOfPages":"16","ipdsId":"IP-041892","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":288031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288030,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2013.06.020"}],"country":"Mexico;United States","state":"Texas","otherGeospatial":"Big Bend National Park;Rio Grande","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.0951,28.9719 ], [ -105.0951,30.1996 ], [ -102.1204,30.1996 ], [ -102.1204,28.9719 ], [ -105.0951,28.9719 ] ] ] } } ] }","volume":"201","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"538eee9fe4b0d497d4968550","contributors":{"authors":[{"text":"Dean, David J. 0000-0003-0203-088X djdean@usgs.gov","orcid":"https://orcid.org/0000-0003-0203-088X","contributorId":131047,"corporation":false,"usgs":true,"family":"Dean","given":"David","email":"djdean@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":494310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, John C. 0000-0002-2988-3869 jcschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-2988-3869","contributorId":1983,"corporation":false,"usgs":true,"family":"Schmidt","given":"John","email":"jcschmidt@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":494309,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70099268,"text":"70099268 - 2013 - Modeling trends from North American Breeding Bird Survey data: a spatially explicit approach","interactions":[],"lastModifiedDate":"2014-03-24T13:49:18","indexId":"70099268","displayToPublicDate":"2013-01-01T13:41:00","publicationYear":"2013","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":"Modeling trends from North American Breeding Bird Survey data: a spatially explicit approach","docAbstract":"Population trends, defined as interval-specific proportional changes in population size, are often used to help identify species of conservation interest. Efficient modeling of such trends depends on the consideration of the correlation of population changes with key spatial and environmental covariates. This can provide insights into causal mechanisms and allow spatially explicit summaries at scales that are of interest to management agencies. We expand the hierarchical modeling framework used in the North American Breeding Bird Survey (BBS) by developing a spatially explicit model of temporal trend using a conditional autoregressive (CAR) model. By adopting a formal spatial model for abundance, we produce spatially explicit abundance and trend estimates. Analyses based on large-scale geographic strata such as Bird Conservation Regions (BCR) can suffer from basic imbalances in spatial sampling. Our approach addresses this issue by providing an explicit weighting based on the fundamental sample allocation unit of the BBS. We applied the spatial model to three species from the BBS. Species have been chosen based upon their well-known population change patterns, which allows us to evaluate the quality of our model and the biological meaning of our estimates. We also compare our results with the ones obtained for BCRs using a nonspatial hierarchical model (Sauer and Link 2011). Globally, estimates for mean trends are consistent between the two approaches but spatial estimates provide much more precise trend estimates in regions on the edges of species ranges that were poorly estimated in non-spatial analyses. Incorporating a spatial component in the analysis not only allows us to obtain relevant and biologically meaningful estimates for population trends, but also enables us to provide a flexible framework in order to obtain trend estimates for any area.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0081867","usgsCitation":"Bled, F., Sauer, J., Pardieck, K.L., Doherty, P., and Royle, J.A., 2013, Modeling trends from North American Breeding Bird Survey data: a spatially explicit approach: PLoS ONE, v. 8, no. 12, 14 p., https://doi.org/10.1371/journal.pone.0081867.","productDescription":"14 p.","ipdsId":"IP-052066","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473991,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0081867","text":"Publisher Index Page"},{"id":284404,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284402,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0081867"},{"id":284403,"type":{"id":15,"text":"Index Page"},"url":"https://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0081867;jsessionid=FCB75EDDD2621890E310AC85F997B517"}],"volume":"8","issue":"12","noUsgsAuthors":false,"publicationDate":"2013-12-13","publicationStatus":"PW","scienceBaseUri":"535594b6e4b0120853e8c08b","contributors":{"authors":[{"text":"Bled, Florent","contributorId":93613,"corporation":false,"usgs":true,"family":"Bled","given":"Florent","affiliations":[],"preferred":false,"id":491909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sauer, John R. jrsauer@usgs.gov","contributorId":3737,"corporation":false,"usgs":true,"family":"Sauer","given":"John R.","email":"jrsauer@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":491905,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pardieck, Keith L. 0000-0003-2779-4392 kpardieck@usgs.gov","orcid":"https://orcid.org/0000-0003-2779-4392","contributorId":4104,"corporation":false,"usgs":true,"family":"Pardieck","given":"Keith","email":"kpardieck@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":491906,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doherty, Paul","contributorId":64155,"corporation":false,"usgs":true,"family":"Doherty","given":"Paul","affiliations":[],"preferred":false,"id":491908,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Royle, J. Andy","contributorId":55741,"corporation":false,"usgs":true,"family":"Royle","given":"J.","email":"","middleInitial":"Andy","affiliations":[],"preferred":false,"id":491907,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}