Organisms continuously acquire and process information from surrounding cues. While some cues complement one another in delivering more reliable information, others may provide conflicting information. How organisms extract and use reliable information from a multitude of cues is largely unknown. We examined movement decisions of sea lampreys (Petromyzon marinus L.) exposed to a conspecific and an environmental cue during pre-spawning migration. Specifically, we predicted that the mature male-released sex pheromone 3-keto petromyzonol sulfate (3kPZS) will outweigh the locomotor inhibiting effects of cold stream temperature (less than 15°C). Using large-scale stream bioassays, we found that 3kPZS elicits an increase (more than 40%) in upstream movement of pre-spawning lampreys when the water temperatures were below 15°C. Both warming temperatures and conspecific cues increase upstream movement when the water temperature rose above 15°C. These patterns define an interaction between abiotic and conspecific cues in modulating animal decision-making, providing an example of the hierarchy of contradictory information.
","language":"English","publisher":"Royal Society Publishing","publisherLocation":"London","doi":"10.1098/rsos.150009","usgsCitation":"Brant, C., Li, K., Johnson, N., and Li, W., 2015, A pheromone outweighs temperature in influencing migration of sea lamprey: Royal Society Open Science, v. 2, p. 1-7, https://doi.org/10.1098/rsos.150009.","productDescription":"7 p.","startPage":"1","endPage":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064542","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":472102,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsos.150009","text":"Publisher Index Page"},{"id":308167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55fa92ace4b05d6c4e501a40","contributors":{"authors":[{"text":"Brant, Cory O.","contributorId":52872,"corporation":false,"usgs":true,"family":"Brant","given":"Cory O.","affiliations":[],"preferred":false,"id":564077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Ke","contributorId":172267,"corporation":false,"usgs":false,"family":"Li","given":"Ke","email":"","affiliations":[],"preferred":false,"id":640106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Nicholas S. njohnson@usgs.gov","contributorId":145449,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":564076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Weiming","contributorId":65440,"corporation":false,"usgs":true,"family":"Li","given":"Weiming","affiliations":[],"preferred":false,"id":564079,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70145549,"text":"ds932 - 2015 - Geospatial compilation and digital map of centerpivot irrigated areas in the mid-Atlantic region, United States","interactions":[],"lastModifiedDate":"2015-05-05T14:50:14","indexId":"ds932","displayToPublicDate":"2015-05-05T15:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"932","title":"Geospatial compilation and digital map of centerpivot irrigated areas in the mid-Atlantic region, United States","docAbstract":"To evaluate water availability within the Northern Atlantic Coastal Plain, the U.S. Geological Survey, in cooperation with the University of Delaware Agricultural Extension, created a dataset that maps the number of acres under center-pivot irrigation in the Northern Atlantic Coastal Plain study area. For this study, the extent of the Northern Atlantic Coastal Plain falls within areas of the States of New York, New Jersey, Delaware, Maryland, Virginia, and North Carolina. The irrigation dataset maps about 271,900 acres operated primarily under center-pivot irrigation in 57 counties. Manual digitizing was performed against aerial imagery in a process where operators used observable center-pivot irrigation signatures—such as irrigation arms, concentric wheel paths through cropped areas, and differential colors—to identify and map irrigated areas. The aerial imagery used for digitizing came from a variety of sources and seasons. The imagery contained a variety of spatial resolutions and included online imagery from the U.S. Department of Agriculture National Agricultural Imagery Program, Microsoft Bing Maps, and the Google Maps mapping service. The dates of the source images ranged from 2010 to 2012 for the U.S. Department of Agriculture imagery, whereas maps from the other mapping services were from 2013.
\nMost of the irrigation in the study area is on the Delmarva Peninsula, where about 75 percent of the total acreage was delineated and where corn and soy bean are the main crops. The methods used to develop this dataset focused primarily on identifying center-pivot irrigation systems. In some instances (such as in in Suffolk County, New York), irrigated rectangular fields were observed through the aerial imagery, and these were included within the dataset. Other irrigation methods included subsurface drip and flood irrigation, which are commonly used on vegetable crops such as peppers and tomatoes and forage crops such as alfalfa in parts the western United States. Some fruit and nursery stock crops also use subsurface drip and flood irrigation. Drip irrigation is especially apparent in New Jersey where large plantings of truck crops are common. Subsurface drip and flood irrigation methods were not accounted for in this dataset. The U.S. Geological Survey collected these data to enhance the understanding of irrigation water demand and associated groundwater withdrawals for the Northern Atlantic Coastal Plain.
\nThe digitized acreage totals were compared with the irrigation estimates provided by the U.S. Department of Agriculture farm and ranch irrigation survey, which is the most comprehensive source of information on irrigation water use within the agricultural industry. This survey collects information on a wide range of topics, including the amount of water used, total acres irrigated, crop specific data, and even energy costs. The U.S. Department of Agriculture samples data for both entire States and individual counties.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds932","collaboration":"Prepared in cooperation with the University of Delaware Agricultural Extension","usgsCitation":"Finkelstein, J.S., and Nardi, M.R., 2015, Geospatial compilation and digital map of centerpivot irrigated areas in the mid-Atlantic region, United States: U.S. Geological Survey Data Series 932, HTML Document; Metadata; Data Files; Readme, https://doi.org/10.3133/ds932.","productDescription":"HTML Document; Metadata; Data Files; Readme","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-060776","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":300118,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds932.jpg"},{"id":300113,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0932/"},{"id":300114,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0932/report.html","linkFileType":{"id":5,"text":"html"}},{"id":300115,"rank":3,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/0932/downloads/ds932_metadata.zip","text":"XML Metadata","size":"24 KB","linkFileType":{"id":6,"text":"zip"}},{"id":300116,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0932/downloads/ds_932_irrigation_nacp_gdb.zip","text":"Data Files","size":"4.73 MB","linkFileType":{"id":6,"text":"zip"}},{"id":300117,"rank":5,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/0932/downloads/readme.txt","size":"5 KB","linkFileType":{"id":2,"text":"txt"}}],"scale":"2000000","projection":"Albers Equal Area Conic Projection","datum":"North American Datum of 1983","country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.795654296875,\n 41.22824901518532\n ],\n [\n -72.3779296875,\n 41.22824901518532\n ],\n [\n -72.762451171875,\n 41.17038447781618\n ],\n [\n -73.355712890625,\n 41.054501963290505\n ],\n [\n -73.67431640625,\n 40.94671366508002\n ],\n [\n -73.795166015625,\n 40.84706035607122\n ],\n [\n -73.916015625,\n 40.75557964275591\n ],\n [\n -74.036865234375,\n 40.68896903762434\n ],\n [\n -74.256591796875,\n 40.54720023441049\n ],\n [\n -74.35546875,\n 40.44694705960048\n ],\n [\n -74.696044921875,\n 40.23760536584024\n ],\n [\n -74.99267578125,\n 40.07807142745009\n ],\n [\n -75.201416015625,\n 39.9602803542957\n ],\n [\n -75.34423828125,\n 39.87601941962116\n ],\n [\n -75.574951171875,\n 39.791654835253425\n ],\n [\n -76.17919921875,\n 39.614152077002636\n ],\n [\n -76.629638671875,\n 39.37677199661635\n ],\n [\n -77.069091796875,\n 39.04478604850143\n ],\n [\n -77.255859375,\n 38.788345355085625\n ],\n [\n -77.354736328125,\n 38.591113776147445\n ],\n [\n -77.420654296875,\n 38.20365531807149\n ],\n [\n -77.607421875,\n 37.75334401310656\n ],\n [\n -77.596435546875,\n 37.448696585910376\n ],\n [\n -77.62939453125,\n 37.23032838760387\n ],\n [\n -77.6513671875,\n 36.932330061503144\n ],\n [\n -77.6513671875,\n 36.641977814705946\n ],\n [\n -77.750244140625,\n 36.421282443649496\n ],\n [\n -77.77221679687499,\n 36.20882309283712\n ],\n [\n -77.84912109375,\n 36.04021586880111\n ],\n [\n -78.0029296875,\n 35.85343961959182\n ],\n [\n -75.03662109375,\n 34.49750272138159\n ],\n [\n -74.498291015625,\n 35.48751102385376\n ],\n [\n -74.33349609375,\n 35.8356283888737\n ],\n [\n -74.058837890625,\n 36.76529191711624\n ],\n [\n -73.740234375,\n 37.29153547292737\n ],\n [\n -73.5205078125,\n 37.80544394934274\n ],\n [\n -72.94921875,\n 38.41916639395372\n ],\n [\n -72.3779296875,\n 38.90813299596705\n ],\n [\n -71.71875,\n 39.2407625100131\n ],\n [\n -71.312255859375,\n 39.67337039176558\n ],\n [\n -70.94970703125,\n 39.825413103424786\n ],\n [\n -71.795654296875,\n 41.22824901518532\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5549dba1e4b064e4207ca3f2","contributors":{"authors":[{"text":"Finkelstein, Jason S. 0000-0002-7496-7236 jfinkels@usgs.gov","orcid":"https://orcid.org/0000-0002-7496-7236","contributorId":4949,"corporation":false,"usgs":true,"family":"Finkelstein","given":"Jason","email":"jfinkels@usgs.gov","middleInitial":"S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":544250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nardi, Mark R. 0000-0002-7310-8050 mrnardi@usgs.gov","orcid":"https://orcid.org/0000-0002-7310-8050","contributorId":1859,"corporation":false,"usgs":true,"family":"Nardi","given":"Mark","email":"mrnardi@usgs.gov","middleInitial":"R.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":544251,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70141459,"text":"sir20155023 - 2015 - Water quality of the Little Arkansas River and Equus Beds Aquifer before and concurrent with large-scale artificial recharge, south-central Kansas, 1995-2012","interactions":[],"lastModifiedDate":"2015-05-07T09:43:27","indexId":"sir20155023","displayToPublicDate":"2015-05-05T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5023","title":"Water quality of the Little Arkansas River and Equus Beds Aquifer before and concurrent with large-scale artificial recharge, south-central Kansas, 1995-2012","docAbstract":"The city of Wichita artificially recharged about 1 billion gallons of water into the Equus Beds aquifer during 2007–2012 as part of Phase I recharge of the Artificial Storage and Recovery project. This report, prepared in cooperation by the U.S. Geological Survey and the city of Wichita, Kansas, summarizes Little Arkansas River (source-water for artificial recharge) andEquus Beds aquifer water quality before (1995–2006) and during (2007–2012) Artificial Storage and Recovery Phase I recharge. Additionally, aquifer water-quality distribution maps are presented and water-quality changes associated with Phase I recharge timing are described.
\nComputed chloride concentrations in the Little Arkansas River exceeded the Federal secondary maximum contaminant level (SMCL) about 20 percent of the time during 1999 through 2012, primarily during low-flow conditions. Groundwater chloride concentrations during 2001 through 2012 exceeded the SMCL in about 6 percent of shallow wells and 7 percent of deep wells, primarily near Burrton, Kansas and along the Arkansas River. Nearly all surface water nitrate plus nitrite concentrations during 1995 through 2012 were less than the Federal maximum contaminant level (MCL); groundwater nitrate plus nitrite concentrations exceeded the MCL in about 16 percent of shallow groundwater samples and were minimal in the deeper parts of the aquifer. Several trace elements frequently exceeded drinking water criteria, including arsenic, iron, and manganese.
\nRecharge activities at Phase I recharge wells have not resulted in substantial effects on groundwater quality in the area, likely because the total amount of water recharged is relatively small (1 billion gallons) compared to aquifer storage volume (greater than 990 billion gallons in winter 2012). The eastward movement of the Burrton chloride plume is likely being slowed by a line of recharge locations associated with Phase I; however, chloride concentrations in deep groundwater still advanced to less than one half mile from the central part of the study area. Water-quality constituents of concern (major ions, nutrients, trace elements, triazine herbicides, and fecal indicator bacteria) have not increased substantially and are likely more affected by climatological (natural recharge by precipitation) and natural (geochemical oxidation/reduction, metabolic and decay rates) processes than artificial recharge. Arsenic remains a water-quality constituent of concern because of natural and continued persistence of concentrations exceeding the Federal maximum contaminant level of 10 micrograms per liter, especially in the deeper parts of theEquus Beds aquifer.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155023","collaboration":"Prepared in cooperation with the City of Wichita, Kansas, as part of the Equus Beds Groundwater Recharge Project","usgsCitation":"Tappa, D.J., Lanning-Rush, J., Klager, B.J., Hansen, C.V., and Ziegler, A., 2015, Water quality of the Little Arkansas River and Equus Beds Aquifer before and concurrent with large-scale artificial recharge, south-central Kansas, 1995-2012 (Version 1: Originally posted May 5, 2015; Version 1.1: May 6, 2015): U.S. Geological Survey Scientific Investigations Report 2015-5023, Report: ix, 67 p.; Downloads Directory, https://doi.org/10.3133/sir20155023.","productDescription":"Report: ix, 67 p.; Downloads Directory","numberOfPages":"82","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1995-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-057383","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":300097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155023.jpg"},{"id":300152,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2015/5023/downloads","text":"Downloads Directory","description":"Downloads Directory","linkHelpText":"Contains: Figures1.1_1.2.xlsx and Table1-1.xlsx"},{"id":300095,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5023/pdf/sir2015-5023.pdf","size":"9.55 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":300096,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5023/"}],"scale":"24000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Kansas","otherGeospatial":"Little Arkansas River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.47962951660156,\n 37.823887203271454\n ],\n [\n -97.39654541015625,\n 37.82605669492651\n ],\n [\n -97.3992919921875,\n 37.844494798834596\n ],\n [\n -97.40821838378906,\n 37.87105925304027\n ],\n [\n -97.42332458496094,\n 37.88948610493193\n ],\n [\n -97.437744140625,\n 37.91007536562636\n ],\n [\n -97.43980407714844,\n 37.9192844858339\n ],\n [\n -97.43911743164062,\n 37.92686760148135\n ],\n [\n -97.44941711425781,\n 37.957733641508185\n ],\n [\n -97.46726989746094,\n 37.980468742815034\n ],\n [\n -97.48031616210938,\n 38.003737861469666\n ],\n [\n -97.49336242675781,\n 38.02050869343087\n ],\n [\n -97.50984191894531,\n 38.03565324349137\n ],\n [\n -97.525634765625,\n 38.05025395161286\n ],\n [\n -97.54554748535156,\n 38.06485174812299\n ],\n [\n -97.55859375,\n 38.085391861792274\n ],\n [\n -97.56614685058594,\n 38.095119375806846\n ],\n [\n -97.57781982421875,\n 38.11349003681576\n ],\n [\n -97.58880615234375,\n 38.126994928671756\n ],\n [\n -97.59361267089844,\n 38.14265747385727\n ],\n [\n -97.6025390625,\n 38.16209595668556\n ],\n [\n -97.61009216308594,\n 38.17505206686869\n ],\n [\n -97.64854431152344,\n 38.17559185481662\n ],\n [\n -97.68150329589844,\n 38.17721119467082\n ],\n [\n -97.70210266113281,\n 38.17937025849983\n ],\n [\n -97.73780822753906,\n 38.17883049854014\n ],\n [\n -97.75703430175781,\n 38.16209595668556\n ],\n [\n -97.77694702148438,\n 38.129155479572624\n ],\n [\n -97.78106689453125,\n 38.095659755295614\n ],\n [\n -97.78312683105469,\n 38.06268929534033\n ],\n [\n -97.79342651367186,\n 38.034030762875844\n ],\n [\n -97.81059265136719,\n 38.00698412839117\n ],\n [\n -97.81402587890625,\n 37.97668004819228\n ],\n [\n -97.81402587890625,\n 37.95286091815649\n ],\n [\n -97.8009796142578,\n 37.91820111976663\n ],\n [\n -97.79411315917969,\n 37.90357411607749\n ],\n [\n -97.7728271484375,\n 37.883524980871336\n ],\n [\n -97.72956848144531,\n 37.860759886765194\n ],\n [\n -97.68562316894531,\n 37.84015683604134\n ],\n [\n -97.65678405761719,\n 37.83364941345968\n ],\n [\n -97.52906799316406,\n 37.82442958216432\n ],\n [\n -97.49061584472656,\n 37.823887203271454\n ],\n [\n -97.47962951660156,\n 37.823887203271454\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1: Originally posted May 5, 2015; Version 1.1: May 6, 2015","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5549dba3e4b064e4207ca3fa","contributors":{"authors":[{"text":"Tappa, Daniel J. dtappa@usgs.gov","contributorId":5652,"corporation":false,"usgs":true,"family":"Tappa","given":"Daniel","email":"dtappa@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":546175,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lanning-Rush, Jennifer L. jlanning@usgs.gov","contributorId":5809,"corporation":false,"usgs":true,"family":"Lanning-Rush","given":"Jennifer L.","email":"jlanning@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":546176,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klager, Brian J. 0000-0001-8361-6043 bklager@usgs.gov","orcid":"https://orcid.org/0000-0001-8361-6043","contributorId":5543,"corporation":false,"usgs":true,"family":"Klager","given":"Brian","email":"bklager@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":546177,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Cristi V. chansen@usgs.gov","contributorId":435,"corporation":false,"usgs":true,"family":"Hansen","given":"Cristi","email":"chansen@usgs.gov","middleInitial":"V.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":546178,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ziegler, Andrew C. aziegler@usgs.gov","contributorId":433,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andrew C.","email":"aziegler@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":546179,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70141460,"text":"fs20153010 - 2015 - Water quality of the Little Arkansas River and Equus Beds Aquifer before and concurrent with large-scale artificial recharge, south-central Kansas, 1995-2012","interactions":[],"lastModifiedDate":"2026-06-29T17:10:23.123898","indexId":"fs20153010","displayToPublicDate":"2015-05-05T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3010","displayTitle":"Water quality of the Little Arkansas River and Equus Beds Aquifer before and concurrent with large-scale artificial recharge, south-central Kansas, 1995-2012","title":"Water quality of the Little Arkansas River and Equus Beds Aquifer before and concurrent with large-scale artificial recharge, south-central Kansas, 1995-2012","docAbstract":"This fact sheet describes baseline water quality of the Equus Beds aquifer and Little Arkansas River and water-quality effects of artificial recharge by the city of Wichita associated with Phase I (2007–present) of the Aquifer Storage and Recovery project. During 1995 through 2012, more than 8,800 surface water and groundwater water-quality samples were collected and analyzed for more than 400 compounds, including most of the compounds on the U.S. Environmental Protection Agency’s primary drinking-water standards maximum contaminant level list and secondary drinkingwater regulations secondary maximum contaminant level list. Water-quality constituents of concern discussed in detail in this fact sheet are chloride, arsenic, total coliform bacteria, and atrazine. Sulfate, nitrate, iron, manganese, oxidation-reduction potential, and specific conductance also are constituents of concern and are discussed to a lesser extent.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153010","collaboration":"Prepared in cooperation with the City of Wichita, Kansas, as part of the Equus Beds Groundwater Recharge Project","usgsCitation":"Tappa, D., Lanning-Rush, J., and Ziegler, A., 2015, Water quality of the Little Arkansas River and Equus Beds Aquifer before and concurrent with large-scale artificial recharge, south-central Kansas, 1995-2012 (Version 1: Originally posted May 5, 2015; Version 1.1: May 6, 2015): U.S. Geological Survey Fact Sheet 2015-3010, 4 p., https://doi.org/10.3133/fs20153010.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1995-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-057439","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":506252,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_101806.htm","linkFileType":{"id":5,"text":"html"}},{"id":300091,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2015/3010/"},{"id":300098,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3010/pdf/fs2015-3010.pdf","size":"1.34 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":300099,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153010.jpg"}],"country":"United States","state":"Kansas","otherGeospatial":"Little Arkansas River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.47962951660156,\n 37.823887203271454\n ],\n [\n -97.39654541015625,\n 37.82605669492651\n ],\n [\n -97.3992919921875,\n 37.844494798834596\n ],\n [\n -97.40821838378906,\n 37.87105925304027\n ],\n [\n -97.42332458496094,\n 37.88948610493193\n ],\n [\n -97.437744140625,\n 37.91007536562636\n ],\n [\n -97.43980407714844,\n 37.9192844858339\n ],\n [\n -97.43911743164062,\n 37.92686760148135\n ],\n [\n -97.44941711425781,\n 37.957733641508185\n ],\n [\n -97.46726989746094,\n 37.980468742815034\n ],\n [\n -97.48031616210938,\n 38.003737861469666\n ],\n [\n -97.49336242675781,\n 38.02050869343087\n ],\n [\n -97.50984191894531,\n 38.03565324349137\n ],\n [\n -97.525634765625,\n 38.05025395161286\n ],\n [\n -97.54554748535156,\n 38.06485174812299\n ],\n [\n -97.55859375,\n 38.085391861792274\n ],\n [\n -97.56614685058594,\n 38.095119375806846\n ],\n [\n -97.57781982421875,\n 38.11349003681576\n ],\n [\n -97.58880615234375,\n 38.126994928671756\n ],\n [\n -97.59361267089844,\n 38.14265747385727\n ],\n [\n -97.6025390625,\n 38.16209595668556\n ],\n [\n -97.61009216308594,\n 38.17505206686869\n ],\n [\n -97.64854431152344,\n 38.17559185481662\n ],\n [\n -97.68150329589844,\n 38.17721119467082\n ],\n [\n -97.70210266113281,\n 38.17937025849983\n ],\n [\n -97.73780822753906,\n 38.17883049854014\n ],\n [\n -97.75703430175781,\n 38.16209595668556\n ],\n [\n -97.77694702148438,\n 38.129155479572624\n ],\n [\n -97.78106689453125,\n 38.095659755295614\n ],\n [\n -97.78312683105469,\n 38.06268929534033\n ],\n [\n -97.79342651367186,\n 38.034030762875844\n ],\n [\n -97.81059265136719,\n 38.00698412839117\n ],\n [\n -97.81402587890625,\n 37.97668004819228\n ],\n [\n -97.81402587890625,\n 37.95286091815649\n ],\n [\n -97.8009796142578,\n 37.91820111976663\n ],\n [\n -97.79411315917969,\n 37.90357411607749\n ],\n [\n -97.7728271484375,\n 37.883524980871336\n ],\n [\n -97.72956848144531,\n 37.860759886765194\n ],\n [\n -97.68562316894531,\n 37.84015683604134\n ],\n [\n -97.65678405761719,\n 37.83364941345968\n ],\n [\n -97.52906799316406,\n 37.82442958216432\n ],\n [\n -97.49061584472656,\n 37.823887203271454\n ],\n [\n -97.47962951660156,\n 37.823887203271454\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1: Originally posted May 5, 2015; Version 1.1: May 6, 2015","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5549dba3e4b064e4207ca3f8","contributors":{"authors":[{"text":"Tappa, Daniel J. dtappa@usgs.gov","contributorId":140567,"corporation":false,"usgs":true,"family":"Tappa","given":"Daniel J.","email":"dtappa@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":546159,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lanning-Rush, Jennifer L. jlanning@usgs.gov","contributorId":5809,"corporation":false,"usgs":true,"family":"Lanning-Rush","given":"Jennifer L.","email":"jlanning@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":546186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziegler, Andrew C. aziegler@usgs.gov","contributorId":433,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andrew C.","email":"aziegler@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":546187,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70102607,"text":"sir20135040 - 2015 - Hydrology of the middle San Pedro area, southeastern Arizona","interactions":[],"lastModifiedDate":"2018-04-02T15:20:22","indexId":"sir20135040","displayToPublicDate":"2015-05-05T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5040","title":"Hydrology of the middle San Pedro area, southeastern Arizona","docAbstract":"In the middle San Pedro Watershed in southeastern Arizona, groundwater is the primary source of water supply for municipal, domestic, industrial, and agricultural use. The watershed comprises two smaller subareas, the Benson subarea and the Narrows-Redington subarea. Early 21st century projections for heavy population growth in the watershed have not yet become a reality, but increased groundwater withdrawals could have undesired consequences - such as decreased base flow to the San Pedro River, and groundwater-level declines - that would lead to the need to deepen existing wells. This report describes the hydrology, hydrochemistry, water quality, and development of a groundwater budget for the middle San Pedro Watershed, focusing primarily on the elements of groundwater movement that could be most useful for the development of a groundwater model
Precipitation data from Tombstone, Arizona, and base flow at the stream-gaging station on the San Pedro River at Charleston both show relatively dry periods during the 1960s through the mid-1980s and in the mid-1990s to 2009, and wetter periods from the mid-1980s through the mid-1990s. Water levels in four out of five wells near the mountain fronts show cyclical patterns of recharge, with rates of recharge greatest in the early 1980s through the mid-1990s. Three wells near the San Pedro River recorded their lowest levels during the 1950s to the mid-1960s. The water-level record from one well, completed in the confined part of the coarse-grained lower basin fill, showed a decline of approximately 21 meters.
Annual flow of the San Pedro River, measured at the Charleston and Redington gages, has decreased since the 1940s. The median annual streamflow and base flow at the gaging station on the river near Tombstone has decreased by 50 percent between the periods 1968–1986 and 1997–2009. Estimates of streamflow infiltration along the San Pedro River during 1914–2009 have decreased 44 percent, with the largest decreases in the months June–October in the Benson subarea. In the Narrows-Redington subarea, streamflow infiltration has decreased about 65 percent during 1914–2009.
The average annual outflow (27.6 hm3/year [cubic hectometers per year]) from the Benson subarea aquifer for water years 2001 through 2009 exceeded the inflows (20.0 hm3/ yr) by 7.60 hm3/yr. In the Narrows-Redington subarea for the same period, the average annual outflow (15.7 hm3/yr) from the aquifer system exceeded the inflows (13.8 hm3/yr) by nearly 2 hm3/yr. The largest withdrawals of groundwater in both subareas are for irrigation; these withdrawals peaked in 1973 and have been steadily decreasing since then. Recharge from streamflow infiltration exceeded recharge from the mountain-front and from ephemeral channels in the Benson subarea. In the Narrows-Redington subarea, however, recharge from mountain-front and ephemeral channel recharge exceeded recharge from streamflow infiltration. Evapotranspiration by phreatophytes accounts for the largest outflow of groundwater for both subareas—78 percent of the outflow in the Narrows-Redington subarea and 62 percent of the outflow in the Benson subarea.
Precipitation, surface-water, and groundwater chemistry and isotope data indicated the relative age and residence time of groundwater, the amount of interaction between geologic sources and groundwater, and how recharge elevation and season were related to the presence of modern water. The bedrock aquifer receives modern recharge (
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135040","collaboration":"Prepared in cooperation with the Arizona Department of Water Resources","usgsCitation":"Cordova, J.T., Dickinson, J.E., Beisner, K.R., Hopkins, C.B., Kennedy, J.R., Pool, D.R., Glenn, E.P., Nagler, P.L., and Thomas, B.E., 2015, Hydrology of the middle San Pedro Watershed, southeastern Arizona: U.S. Geological Survey Scientific Investigations Report 2013–5040, 77 p., https://dx.doi.org/10.3133/sir20135040.","productDescription":"vii, 77 p.","numberOfPages":"88","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-037275","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":300069,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2013/5040/images/coverthb.jpg"},{"id":300068,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5040/pdf/sir20135040.pdf","text":"Report","size":"8 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":300067,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5040/","text":"USGS Index Page"}],"scale":"100000","projection":"Universal Transverse Mercator projection","country":"United States","state":"Arizona","otherGeospatial":"San Pedro Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.44761657714844,\n 31.98754909816049\n ],\n [\n -110.45860290527344,\n 31.998177053804007\n ],\n [\n -110.46203613281249,\n 32.00982271401364\n ],\n [\n -110.47027587890624,\n 32.01913817697911\n ],\n [\n -110.48263549804688,\n 32.024959860439054\n ],\n [\n -110.49293518066405,\n 32.03893039122854\n ],\n [\n -110.51010131835938,\n 32.06511939104014\n ],\n [\n -110.50941467285155,\n 32.08431989310267\n ],\n [\n -110.51353454589844,\n 32.10816944421472\n ],\n [\n -110.51971435546875,\n 32.12387184528523\n ],\n [\n -110.52864074707031,\n 32.141897196425795\n ],\n [\n -110.5389404296875,\n 32.16631295696736\n ],\n [\n -110.54718017578125,\n 32.21047722643385\n ],\n [\n -110.56640625,\n 32.222676732232976\n ],\n [\n -110.59043884277344,\n 32.26274929530214\n ],\n [\n -110.62614440917967,\n 32.337039963119864\n ],\n [\n -110.64537048339844,\n 32.36198331510819\n ],\n [\n -110.65567016601562,\n 32.393877575286446\n ],\n [\n -110.67146301269531,\n 32.4205441275944\n ],\n [\n -110.6817626953125,\n 32.45183828577544\n ],\n [\n -110.67626953125,\n 32.46806060917602\n ],\n [\n -110.66184997558594,\n 32.47559140897866\n ],\n [\n -110.62957763671875,\n 32.490651118673334\n ],\n [\n -110.58769226074219,\n 32.485438427431504\n ],\n [\n -110.5389404296875,\n 32.47095714518327\n ],\n [\n -110.51010131835938,\n 32.465743313283596\n ],\n [\n -110.47027587890624,\n 32.45473534350923\n ],\n [\n -110.45036315917969,\n 32.44836169353613\n ],\n [\n -110.40573120117188,\n 32.44894113489076\n ],\n [\n -110.37689208984374,\n 32.45241770477441\n ],\n [\n -110.36041259765624,\n 32.46806060917602\n ],\n [\n -110.35903930664062,\n 32.483700796577516\n ],\n [\n -110.35972595214844,\n 32.51439400122826\n ],\n [\n -110.35835266113281,\n 32.53349957219424\n ],\n [\n -110.37208557128906,\n 32.57285581387774\n ],\n [\n -110.3631591796875,\n 32.59657697101798\n ],\n [\n -110.31852722167969,\n 32.59137042547153\n ],\n [\n -110.29518127441406,\n 32.585006459012185\n ],\n [\n -110.28213500976561,\n 32.560703522325134\n ],\n [\n -110.26771545410155,\n 32.53639400126047\n ],\n [\n -110.25810241699219,\n 32.510919824624686\n ],\n [\n -110.23818969726562,\n 32.488913588480365\n ],\n [\n -110.2313232421875,\n 32.475012139050044\n ],\n [\n -110.21484375,\n 32.45879106783458\n ],\n [\n -110.18394470214844,\n 32.44720279964938\n ],\n [\n -110.15167236328125,\n 32.43735159993137\n ],\n [\n -110.115966796875,\n 32.42807889910622\n ],\n [\n -110.10910034179688,\n 32.425760574910775\n ],\n [\n -110.09124755859375,\n 32.41764597096141\n ],\n [\n -110.0775146484375,\n 32.407211836256685\n ],\n [\n -110.05485534667969,\n 32.39329778013638\n ],\n [\n -110.03768920898438,\n 32.37184274299272\n ],\n [\n -110.028076171875,\n 32.35328292697968\n ],\n [\n -110.01914978027344,\n 32.338780420153086\n ],\n [\n -110.00679016113281,\n 32.30454528906482\n ],\n [\n -110.00541687011719,\n 32.29119588495649\n ],\n [\n -110.01640319824219,\n 32.27726397604846\n ],\n [\n -110.0115966796875,\n 32.2366170200985\n ],\n [\n -110.00816345214844,\n 32.21396296653795\n ],\n [\n -109.98825073242188,\n 32.18084304210396\n ],\n [\n -109.96421813964844,\n 32.155268542097815\n ],\n [\n -109.94087219238281,\n 32.132594234149906\n ],\n [\n -109.93263244628905,\n 32.09595459833164\n ],\n [\n -109.91477966308594,\n 32.049406890560356\n ],\n [\n -109.89761352539062,\n 31.971386422339652\n ],\n [\n -109.89555358886719,\n 31.950997006605856\n ],\n [\n -109.896240234375,\n 31.926523733115935\n ],\n [\n -109.88937377929688,\n 31.892133606937325\n ],\n [\n -109.87701416015624,\n 31.862396194533627\n ],\n [\n -109.87701416015624,\n 31.835565983656227\n ],\n [\n -109.874267578125,\n 31.813396010784928\n ],\n [\n -109.90379333496094,\n 31.797056835116557\n ],\n [\n -109.962158203125,\n 31.787135211684465\n ],\n [\n -110.03356933593749,\n 31.771375150628398\n ],\n [\n -110.09880065917969,\n 31.76028312754315\n ],\n [\n -110.1660919189453,\n 31.742182762117984\n ],\n [\n -110.31234741210938,\n 31.726999082308968\n ],\n [\n -110.35835266113281,\n 31.7234948028286\n ],\n [\n -110.41191101074219,\n 31.722326680224338\n ],\n [\n -110.44143676757812,\n 31.728751172360298\n ],\n [\n -110.44967651367188,\n 31.74685416292141\n ],\n [\n -110.44692993164061,\n 31.771375150628398\n ],\n [\n -110.43869018554686,\n 31.84664897336452\n ],\n [\n -110.43594360351562,\n 31.874059068856333\n ],\n [\n -110.43663024902344,\n 31.897963346443\n ],\n [\n -110.44281005859375,\n 31.927106505829546\n ],\n [\n -110.44761657714844,\n 31.98754909816049\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Arizona Water Science Center
U.S. Geological Survey
520 N. Park Avenue
Tucson, AZ 85719
http://az.water.usgs.gov/
Shoreline change spanning twenty-four years was assessed along the coastline of Cape Hatteras National Seashore, at Hatteras Island, North Carolina. The shorelines used in the analysis were generated from georeferenced historical aerial imagery and are used to develop shoreline change rates for Hatteras Island, from Oregon Inlet to Cape Hatteras. A total of 14 dates of aerial photographs ranging from 1978 through 2002 were obtained from the U.S. Army Corp of Engineers Field Research Facility in Duck, North Carolina, and scanned to generate digital imagery. The digital imagery was georeferenced and high water line shorelines (interpreted from the wet/dry line) were digitized from each date to produce a time series of shorelines for the study area. Rates of shoreline change were calculated for three periods: the full span of the time series, 1978 through 2002, and two approximately decadal subsets, 1978–89 and 1989–2002.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151002","usgsCitation":"Hapke, C.J., and Henderson, R., 2015, Quantification of shoreline change along Hatteras Island, North Carolina: Oregon Inlet to Cape Hatteras, 1978-2002, and associated vector shoreline data: U.S. Geological Survey Open-File Report 2015-1002, Report: v, 13 p.; Downloads Directory, https://doi.org/10.3133/ofr20151002.","productDescription":"Report: v, 13 p.; Downloads Directory","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1978-01-01","temporalEnd":"2002-12-31","ipdsId":"IP-058211","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":300077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151002.jpg"},{"id":300075,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1002/pdf/ofr2015-1002.pdf","size":"5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":300074,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1002/"},{"id":300076,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2015/1002/downloads/","text":"Downloads Directory"}],"country":"United States","state":"North Carolina","otherGeospatial":"Hatteras Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.58353424072266,\n 35.23468327256872\n ],\n [\n -75.56877136230469,\n 35.233841994442955\n ],\n [\n -75.55606842041016,\n 35.232159412017154\n ],\n [\n -75.54405212402344,\n 35.22795280327368\n ],\n [\n -75.53031921386719,\n 35.218977975684076\n ],\n [\n -75.53031921386719,\n 35.21561215945215\n ],\n [\n -75.52688598632811,\n 35.2192584540701\n ],\n [\n -75.52448272705078,\n 35.23804829782212\n ],\n [\n -75.52139282226562,\n 35.254310618415694\n ],\n [\n -75.51864624023438,\n 35.261319233370926\n ],\n [\n -75.50971984863281,\n 35.31064272673245\n ],\n [\n -75.50388336181639,\n 35.33781385089649\n ],\n [\n -75.49667358398438,\n 35.36441589327595\n ],\n [\n -75.48946380615234,\n 35.38513141280172\n ],\n [\n -75.48534393310547,\n 35.39968508271242\n ],\n [\n -75.48465728759766,\n 35.42234998978842\n ],\n [\n -75.48397064208984,\n 35.43857526583951\n ],\n [\n -75.48328399658203,\n 35.45871243948727\n ],\n [\n -75.47882080078125,\n 35.4830381340696\n ],\n [\n -75.47367095947266,\n 35.50875385049234\n ],\n [\n -75.46817779541016,\n 35.52663818907837\n ],\n [\n -75.46302795410156,\n 35.55513311690782\n ],\n [\n -75.4592514038086,\n 35.58417634369405\n ],\n [\n -75.46302795410156,\n 35.60902228231369\n ],\n [\n -75.47332763671875,\n 35.65701729161385\n ],\n [\n -75.48328399658203,\n 35.68909089912437\n ],\n [\n -75.4925537109375,\n 35.720036676496555\n ],\n [\n -75.50422668457031,\n 35.746512259918504\n ],\n [\n -75.5141830444336,\n 35.76406489758856\n ],\n [\n -75.52104949951172,\n 35.77297904018014\n ],\n [\n -75.52894592285156,\n 35.774371784708535\n ],\n [\n -75.52860260009766,\n 35.77102915686019\n ],\n [\n -75.52619934082031,\n 35.76490064089757\n ],\n [\n -75.5251693725586,\n 35.75932885298472\n ],\n [\n -75.52276611328125,\n 35.75403529302012\n ],\n [\n -75.51830291748047,\n 35.74038185534102\n ],\n [\n -75.51624298095703,\n 35.73230014622333\n ],\n [\n -75.51383972167969,\n 35.71920046208453\n ],\n [\n -75.5086898803711,\n 35.709443978853464\n ],\n [\n -75.50148010253906,\n 35.697734622419325\n ],\n [\n -75.49427032470703,\n 35.68713896099152\n ],\n [\n -75.49015045166016,\n 35.681003987351055\n ],\n [\n -75.49049377441406,\n 35.66984828125556\n ],\n [\n -75.49118041992188,\n 35.663154109136684\n ],\n [\n -75.48603057861328,\n 35.65869101589245\n ],\n [\n -75.48603057861328,\n 35.65060102359122\n ],\n [\n -75.48088073730469,\n 35.63609277863135\n ],\n [\n -75.47676086425781,\n 35.62939577711734\n ],\n [\n -75.47229766845702,\n 35.62186097976455\n ],\n [\n -75.4757308959961,\n 35.61516278603402\n ],\n [\n -75.47161102294922,\n 35.603160452708984\n ],\n [\n -75.47367095947266,\n 35.594785665487244\n ],\n [\n -75.47126770019531,\n 35.58613079808126\n ],\n [\n -75.47264099121092,\n 35.57189010954906\n ],\n [\n -75.47676086425781,\n 35.56490845510908\n ],\n [\n -75.47779083251953,\n 35.55876409598856\n ],\n [\n -75.47607421875,\n 35.55122264780622\n ],\n [\n -75.4815673828125,\n 35.52691760025225\n ],\n [\n -75.48465728759766,\n 35.516578738902936\n ],\n [\n -75.49118041992188,\n 35.51043067649368\n ],\n [\n -75.4877471923828,\n 35.503443670480856\n ],\n [\n -75.48603057861328,\n 35.49477893880152\n ],\n [\n -75.487060546875,\n 35.480801595828616\n ],\n [\n -75.4874038696289,\n 35.47353241677577\n ],\n [\n -75.48912048339844,\n 35.451441263582495\n ],\n [\n -75.49495697021484,\n 35.438015827982014\n ],\n [\n -75.49530029296875,\n 35.42123088473967\n ],\n [\n -75.49495697021484,\n 35.41087842606998\n ],\n [\n -75.49873352050781,\n 35.40248356426937\n ],\n [\n -75.49907684326172,\n 35.392128697306084\n ],\n [\n -75.4983901977539,\n 35.38373188305743\n ],\n [\n -75.50113677978516,\n 35.37197487466473\n ],\n [\n -75.50731658935547,\n 35.367775527951764\n ],\n [\n -75.51006317138672,\n 35.36385594056947\n ],\n [\n -75.51280975341797,\n 35.354616160196265\n ],\n [\n -75.51555633544922,\n 35.34761562269892\n ],\n [\n -75.51658630371094,\n 35.33893411357196\n ],\n [\n -75.51692962646484,\n 35.32128817257081\n ],\n [\n -75.51795959472656,\n 35.30111666643969\n ],\n [\n -75.51898956298827,\n 35.2845834883118\n ],\n [\n -75.52482604980469,\n 35.27393321289872\n ],\n [\n -75.53478240966795,\n 35.25262846064549\n ],\n [\n -75.57083129882812,\n 35.23945035047551\n ],\n [\n -75.58353424072266,\n 35.23468327256872\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5549dba2e4b064e4207ca3f6","contributors":{"authors":[{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":546114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henderson, Rachel E. rehenderson@usgs.gov","contributorId":140552,"corporation":false,"usgs":true,"family":"Henderson","given":"Rachel E.","email":"rehenderson@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":546115,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70155953,"text":"70155953 - 2015 - Wind River subbasin restoration: Annual report of U.S. Geological Survey activities January 2014 through December 2014","interactions":[],"lastModifiedDate":"2016-05-03T13:55:18","indexId":"70155953","displayToPublicDate":"2015-05-05T05:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Wind River subbasin restoration: Annual report of U.S. Geological Survey activities January 2014 through December 2014","docAbstract":"The Wind River subbasin in southwest Washington State provides habitat for a population of wild Lower Columbia River steelhead Oncorhynchus mykiss, which are listed as threatened under the Endangered Species Act. No hatchery steelhead have been planted in the Wind River subbasin since 1994, and hatchery adults are estimated to be less than one percent of adults in any year (Thomas Buehrens, Washington Department of Fish and Wildlife, personal communication). Numerous restoration actions have been implemented in the subbasin, including the removal of Hemlock Dam on Trout Creek in 2009. We used Passive Integrated Transponder (PIT) tagging and a series of instream PIT-tag interrogation systems (PTIS) to investigate life-histories, populations, and efficacy of habitat restoration actions for these steelhead. Data from our study, and companion work by Washington Department of Fish and Wildlife (WDFW), will contribute to Bonneville Power Administration’s (BPA) Research Monitoring and Evaluation (RM&E) Program Strategy of Fish Population Status Monitoring (www.cbfish.org/ProgramStrategy.mvc/ViewProgramStrategySummary/1), specifically the sub-strategies of: 1) Assessing the Status and Trends of Diversity of Natural Origin Fish Populations and to Uncertainties Research regarding differing life histories of a wild steelhead population, 2) Assessing the Status and Trend of Adult Natural Origin Fish Populations, and 3) Monitoring and Evaluating the Effectiveness of Tributary Habitat Actions Relative to Environmental, Physical, or Biological Performance Objectives.
\nDuring summer 2014, we PIT-tagged steelhead parr in headwater areas of the Wind River subbasin to investigate life-history diversity, specifically to compare fate of those juvenile steelhead that move downstream prior to smolting with those that remain in their natal areas until smolting. A series of instream PTISs monitored movement of these fish. We added a new multi-antenna PTIS on Trout Creek and made improvements to two of our smaller tributary PTISs during 2014. Detections at the instream PTISs showed trends of parr emigration during summer and fall, in addition to the expected movement of parr and smolts in spring. Long-term monitoring of PIT-tagged fish will provide information on contribution of various life-history strategies to smolt production and adult returns, as well as helping to identify factors influencing parr movement.
\nMovements of PIT-tagged adult steelhead were tracked with our instream PTISs. These data will contribute to a better understanding of timing and distribution of spawning by this population of wild steelhead within the Wind River subbasin. Additionally, these data have provided information on timing of adult movements to various parts of the watershed, which is allowing us to assess adult use of tributary watersheds within the Wind River subbasin. These data are contributing to evaluating steelhead response to the removal of Hemlock Dam from Trout Creek. Hemlock Dam, which was located at rkm 2.0 of Trout Creek, was removed in summer 2009 and had contributed to hydrologic impairment of Trout Creek and potentially caused some deterrent to upstream adult steelhead migration.
\nEvaluating restoration efforts is of interest to many managers and agencies so that funding and time are allocated for best results. The evaluation of various life-histories of Lower Columbia River steelhead within the Wind River subbasin provides information to better track populations, and more effectively direct habitat restoration and water allocation planning. Increasingly detailed Viable Salmonid Population information (Crawford and Rumsey 2009), such as that provided by PIT-tagging and instream PTISs networks like those we build and operate in the Wind River subbasin, provide data to better inform policy and management, as life-history strategies and production bottlenecks are identified and understood.
","language":"English","publisher":"Bonneville Power Administration","collaboration":"Report covers work performed under Bonneville Power Administration contract #(s) 63276, 66668","usgsCitation":"Jezorek, I.G., and Connolly, P., 2015, Wind River subbasin restoration: Annual report of U.S. Geological Survey activities January 2014 through December 2014, 58 p.","productDescription":"58 p.","startPage":"58 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064417","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":320550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":320576,"type":{"id":11,"text":"Document"},"url":"https://pisces.bpa.gov/release/documents/DocumentViewer.aspx?doc=P144015","text":"Report","size":"763.04 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.04540252685548,\n 45.7964939814375\n ],\n [\n -122.04540252685548,\n 45.96952673162373\n ],\n [\n -121.89571380615234,\n 45.96952673162373\n ],\n [\n -121.89571380615234,\n 45.7964939814375\n ],\n [\n -122.04540252685548,\n 45.7964939814375\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5720913ae4b071321fe656bf","contributors":{"authors":[{"text":"Jezorek, Ian G. 0000-0002-3842-3485 ijezorek@usgs.gov","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":3572,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","email":"ijezorek@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":567343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":567344,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70147158,"text":"ofr20151081 - 2015 - Storm tide monitoring during the blizzard of January 26-28, 2015, in eastern Massachusetts","interactions":[],"lastModifiedDate":"2015-05-01T14:55:29","indexId":"ofr20151081","displayToPublicDate":"2015-05-01T15:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1081","title":"Storm tide monitoring during the blizzard of January 26-28, 2015, in eastern Massachusetts","docAbstract":"The U.S. Geological Survey (USGS) deployed a temporary monitoring network of six storm surge sensors and four barometric pressure sensors along the Atlantic coast in eastern Massachusetts, from Plymouth to Newburyport, before the blizzard of January 26–28, 2015 (Blizzard of January 2015), to record the timing and magnitude of storm tide at select locations where forecasters had predicted the potential for coastal flooding. Additionally, water-level data were recorded and transmitted in near real-time from four permanent USGS tidal stations—three on Cape Cod and one near the mouth of the Merrimack River in Newburyport. The storm surge sensors were deployed at previously established fixed sites outfitted with presurveyed mounting brackets. The mounting brackets were installed in 2014 as part of the USGS Surge, Wave, and Tide Hydrodynamic (SWaTH) Network (https://water.usgs.gov/floods/STN/), which was funded through congressional supplemental appropriations for the U.S. Department of the Interior after the devastating landfall of Hurricane Sandy on October 29, 2012 (Simmons and others, 2014). The USGS received this funding to enable better understanding of coastal flooding hazards in the region, to improve preparedness for future coastal storms, and to increase the resilience of coastal cities, infrastructure, and natural systems in the region (Buxton and others, 2013). The USGS established 163 monitoring locations along the New England coast for the SWaTH Network, including 70 sites in Massachusetts.
\nThe Blizzard of January 2015 was a powerful and destructive storm that threatened public safety and led to widespread cancellations and delays at transportation hubs, schools, and businesses in Massachusetts, including, for example, the closure of General Edward Lawrence Logan (Boston-Logan) International Airport and cancellation of all flights on January 27 and a statewide travel ban issued for January 28. A total of 24.6 inches of snowfall and winds up to 45 miles per hour (mi/hr) were recorded at the airport. Several coastal communities were affected and experienced flooding, overwash, and damage to seawalls, dwellings, and other infrastructure. In Scituate, the National Guard was sent to rescue people from flooding, and power was cut to some areas of the town to prevent electrical fires.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151081","usgsCitation":"Massey, A.J., and Verdi, R.J., 2015, Storm tide monitoring during the blizzard of January 26-28, 2015, in eastern Massachusetts: U.S. Geological Survey Open-File Report 2015-1081, iv, 7 p., https://doi.org/10.3133/ofr20151081.","productDescription":"iv, 7 p.","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2015-01-26","temporalEnd":"2015-01-28","ipdsId":"IP-064196","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":300031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151081.jpg"},{"id":300030,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1081/pdf/ofr20150-1081.pdf","size":"6.0 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":299931,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1081/"}],"country":"United States","state":"Massachusetts","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.50373077392578,\n 41.57898422585703\n ],\n [\n -70.50373077392578,\n 41.64931448003169\n ],\n [\n -70.40142059326172,\n 41.64931448003169\n ],\n [\n -70.40142059326172,\n 41.57898422585703\n ],\n [\n -70.50373077392578,\n 41.57898422585703\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.19096374511719,\n 41.73237975329554\n ],\n [\n -70.19096374511719,\n 41.77054351490331\n ],\n [\n -70.14358520507812,\n 41.77054351490331\n ],\n [\n -70.14358520507812,\n 41.73237975329554\n ],\n [\n -70.19096374511719,\n 41.73237975329554\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.2081298828125,\n 42.02787400232195\n ],\n [\n -70.2081298828125,\n 42.069174908123216\n ],\n [\n -70.1480484008789,\n 42.069174908123216\n ],\n [\n -70.1480484008789,\n 42.02787400232195\n ],\n [\n -70.2081298828125,\n 42.02787400232195\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.68775177001953,\n 42.06203839943942\n ],\n [\n -70.68775177001953,\n 42.10764725091394\n ],\n [\n -70.63316345214844,\n 42.10764725091394\n ],\n [\n -70.63316345214844,\n 42.06203839943942\n ],\n [\n -70.68775177001953,\n 42.06203839943942\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.74817657470703,\n 42.185285118838806\n ],\n [\n -70.74817657470703,\n 42.22724624211336\n ],\n [\n -70.68946838378906,\n 42.22724624211336\n ],\n [\n -70.68946838378906,\n 42.185285118838806\n ],\n [\n -70.74817657470703,\n 42.185285118838806\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.81958770751953,\n 42.23105950761338\n ],\n [\n -70.81958770751953,\n 42.27299022383442\n ],\n [\n -70.75881958007812,\n 42.27299022383442\n ],\n [\n -70.75881958007812,\n 42.23105950761338\n ],\n [\n -70.81958770751953,\n 42.23105950761338\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.6201171875,\n 42.640778038744564\n ],\n [\n -70.6201171875,\n 42.671581927092234\n ],\n [\n -70.57857513427734,\n 42.671581927092234\n ],\n [\n -70.57857513427734,\n 42.640778038744564\n ],\n [\n -70.6201171875,\n 42.640778038744564\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.82679748535156,\n 42.67763991226572\n ],\n [\n -70.82679748535156,\n 42.70817326008937\n ],\n [\n -70.78422546386719,\n 42.70817326008937\n ],\n [\n -70.78422546386719,\n 42.67763991226572\n ],\n [\n -70.82679748535156,\n 42.67763991226572\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.87245941162108,\n 42.79716410208585\n ],\n [\n -70.87245941162108,\n 42.82889759143923\n ],\n [\n -70.82679748535156,\n 42.82889759143923\n ],\n [\n -70.82679748535156,\n 42.79716410208585\n ],\n [\n -70.87245941162108,\n 42.79716410208585\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.93185424804688,\n 42.82864580245114\n ],\n [\n -70.93185424804688,\n 42.857594812697045\n ],\n [\n -70.89099884033203,\n 42.857594812697045\n ],\n [\n -70.89099884033203,\n 42.82864580245114\n ],\n [\n -70.93185424804688,\n 42.82864580245114\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"554495abe4b0a658d794788b","contributors":{"authors":[{"text":"Massey, Andrew J. 0000-0003-3995-8657 ajmassey@usgs.gov","orcid":"https://orcid.org/0000-0003-3995-8657","contributorId":1862,"corporation":false,"usgs":true,"family":"Massey","given":"Andrew","email":"ajmassey@usgs.gov","middleInitial":"J.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verdi, Richard J. 0000-0002-7093-9203 rverdi@usgs.gov","orcid":"https://orcid.org/0000-0002-7093-9203","contributorId":1098,"corporation":false,"usgs":true,"family":"Verdi","given":"Richard","email":"rverdi@usgs.gov","middleInitial":"J.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545713,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70155516,"text":"70155516 - 2015 - Temporal patterns in adult salmon migration timing across southeast Alaska","interactions":[],"lastModifiedDate":"2015-08-10T10:49:46","indexId":"70155516","displayToPublicDate":"2015-05-01T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal patterns in adult salmon migration timing across southeast Alaska","docAbstract":"Pacific salmon migration timing can drive population productivity, ecosystem dynamics, and human harvest. Nevertheless, little is known about long-term variation in salmon migration timing for multiple species across broad regions. We used long-term data for five Pacific salmon species throughout rapidly warming southeast Alaska to describe long-term changes in salmon migration timing, interannual phenological synchrony, relationships between climatic variation and migratory timing, and to test whether long-term changes in migration timing are related to glaciation in headwater streams. Temporal changes in the median date of salmon migration timing varied widely across species. Most sockeye populations are migrating later over time (11 of 14), but pink, chum, and especially coho populations are migrating earlier than they did historically (16 of 19 combined). Temporal trends in duration and interannual variation in migration timing were highly variable across species and populations. The greatest temporal shifts in the median date of migration timing were correlated with decreases in the duration of migration timing, suggestive of a loss of phenotypic variation due to natural selection. Pairwise interannual correlations in migration timing varied widely but were generally positive, providing evidence for weak region-wide phenological synchrony. This synchrony is likely a function of climatic variation, as interannual variation in migration timing was related to climatic phenomenon operating at large- (Pacific decadal oscillation), moderate- (sea surface temperature), and local-scales (precipitation). Surprisingly, the presence or the absence of glaciers within a watershed was unrelated to long-term shifts in phenology. Overall, there was extensive heterogeneity in long-term patterns of migration timing throughout this climatically and geographically complex region, highlighting that future climatic change will likely have widely divergent impacts on salmon migration timing. Although salmon phenological diversity will complicate future predictions of migration timing, this variation likely acts as a major contributor to population and ecosystem resiliency in southeast Alaska.
","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/gcb.12829","usgsCitation":"Kovach, R., Ellison, S., Pyare, S., and Tallmon, D., 2015, Temporal patterns in adult salmon migration timing across southeast Alaska: Global Change Biology, v. 21, no. 5, p. 1821-1833, https://doi.org/10.1111/gcb.12829.","productDescription":"13 p.","startPage":"1821","endPage":"1833","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061254","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":472105,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.12829","text":"Publisher Index Page"},{"id":306531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Southeast Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -141.35009765625,\n 59.60109549032134\n ],\n [\n -134.80224609375,\n 60.941106295036136\n ],\n [\n -130.693359375,\n 60.27251459483244\n ],\n [\n -128.64990234375,\n 58.90464570302001\n ],\n [\n -128.38623046875,\n 56.48676175249086\n ],\n [\n -127.77099609374999,\n 55.29162848682989\n ],\n [\n -129.9462890625,\n 54.23955053156179\n ],\n [\n -132.91259765625,\n 53.46189043285914\n ],\n [\n -141.35009765625,\n 59.60109549032134\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-06","publicationStatus":"PW","scienceBaseUri":"55c9cb39e4b08400b1fdb72e","chorus":{"doi":"10.1111/gcb.12829","url":"http://dx.doi.org/10.1111/gcb.12829","publisher":"Wiley-Blackwell","authors":"Kovach Ryan P., Ellison Stephen C., Pyare Sanjay, Tallmon David A.","journalName":"Global Change Biology","publicationDate":"2/6/2015","auditedOn":"6/11/2015"},"contributors":{"authors":[{"text":"Kovach, Ryan P.","contributorId":126724,"corporation":false,"usgs":false,"family":"Kovach","given":"Ryan P.","affiliations":[{"id":6580,"text":"University of Montana, Flathead Lake Biological Station, Polson, Montana 59860, USA","active":true,"usgs":false}],"preferred":false,"id":565655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellison, Stephen","contributorId":145919,"corporation":false,"usgs":false,"family":"Ellison","given":"Stephen","email":"","affiliations":[{"id":16298,"text":"University of Alaska Southeast","active":true,"usgs":false}],"preferred":false,"id":565656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pyare, Sanjay","contributorId":47135,"corporation":false,"usgs":true,"family":"Pyare","given":"Sanjay","email":"","affiliations":[],"preferred":false,"id":565657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tallmon, David","contributorId":145920,"corporation":false,"usgs":false,"family":"Tallmon","given":"David","affiliations":[{"id":16298,"text":"University of Alaska Southeast","active":true,"usgs":false}],"preferred":false,"id":565658,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148076,"text":"70148076 - 2015 - AMDTreat 5.0+ with PHREEQC titration module to compute caustic chemical quantity, effluent quality, and sludge volume","interactions":[],"lastModifiedDate":"2020-02-25T15:43:38","indexId":"70148076","displayToPublicDate":"2015-05-01T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2745,"text":"Mine Water and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"AMDTreat 5.0+ with PHREEQC titration module to compute caustic chemical quantity, effluent quality, and sludge volume","docAbstract":"Alkaline chemicals are commonly added to discharges from coal mines to increase pH and decrease concentrations of acidity and dissolved aluminum, iron, manganese, and associated metals. The annual cost of chemical treatment depends on the type and quantities of chemicals added and sludge produced. The AMDTreat computer program, initially developed in 2003, is widely used to compute such costs on the basis of the user-specified flow rate and water quality data for the untreated AMD. Although AMDTreat can use results of empirical titration of net-acidic or net-alkaline effluent with caustic chemicals to accurately estimate costs for treatment, such empirical data are rarely available. A titration simulation module using the geochemical program PHREEQC has been incorporated with AMDTreat 5.0+ to improve the capability of AMDTreat to estimate: (1) the quantity and cost of caustic chemicals to attain a target pH, (2) the chemical composition of the treated effluent, and (3) the volume of sludge produced by the treatment. The simulated titration results for selected caustic chemicals (NaOH, CaO, Ca(OH)2, Na2CO3, or NH3) without aeration or with pre-aeration can be compared with or used in place of empirical titration data to estimate chemical quantities, treated effluent composition, sludge volume (precipitated metals plus unreacted chemical), and associated treatment costs. This paper describes the development, evaluation, and potential utilization of the PHREEQC titration module with the new AMDTreat 5.0+ computer program available at http://www.amd.osmre.gov/.
","language":"English","publisher":"International Mine Water Association","publisherLocation":"Berlin","doi":"10.1007/s10230-014-0292-6","usgsCitation":"Cravotta, C., Means, B.P., Arthur, W., McKenzie, R.M., and Parkhurst, D.L., 2015, AMDTreat 5.0+ with PHREEQC titration module to compute caustic chemical quantity, effluent quality, and sludge volume: Mine Water and the Environment, v. 34, no. 2, p. 136-152, https://doi.org/10.1007/s10230-014-0292-6.","productDescription":"17 p.","startPage":"136","endPage":"152","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043936","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":300543,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-27","publicationStatus":"PW","scienceBaseUri":"555c5eafe4b0a92fa7eacbf0","contributors":{"authors":[{"text":"Cravotta, Charles A. III 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":138829,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","email":"cravotta@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":547174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Means, Brent P","contributorId":140842,"corporation":false,"usgs":false,"family":"Means","given":"Brent","email":"","middleInitial":"P","affiliations":[{"id":13592,"text":"US Office of Surface Mining","active":true,"usgs":false}],"preferred":false,"id":547176,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arthur, Willam","contributorId":140844,"corporation":false,"usgs":false,"family":"Arthur","given":"Willam","email":"","affiliations":[{"id":13592,"text":"US Office of Surface Mining","active":true,"usgs":false}],"preferred":false,"id":547178,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKenzie, Robert M","contributorId":140843,"corporation":false,"usgs":false,"family":"McKenzie","given":"Robert","email":"","middleInitial":"M","affiliations":[{"id":13592,"text":"US Office of Surface Mining","active":true,"usgs":false}],"preferred":false,"id":547177,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parkhurst, David L. 0000-0003-3348-1544 dlpark@usgs.gov","orcid":"https://orcid.org/0000-0003-3348-1544","contributorId":1088,"corporation":false,"usgs":true,"family":"Parkhurst","given":"David","email":"dlpark@usgs.gov","middleInitial":"L.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":547175,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70148402,"text":"70148402 - 2015 - Experimental dosing of wetlands with coagulants removes mercury from surface water and decreases mercury bioaccumulation in fish","interactions":[],"lastModifiedDate":"2018-09-04T15:40:13","indexId":"70148402","displayToPublicDate":"2015-05-01T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Experimental dosing of wetlands with coagulants removes mercury from surface water and decreases mercury bioaccumulation in fish","docAbstract":"Mercury pollution is widespread globally, and strategies for managing mercury contamination in aquatic environments are necessary. We tested whether coagulation with metal-based salts could remove mercury from wetland surface waters and decrease mercury bioaccumulation in fish. In a complete randomized block design, we constructed nine experimental wetlands in California’s Sacramento–San Joaquin Delta, stocked them with mosquitofish (Gambusia affinis), and then continuously applied agricultural drainage water that was either untreated (control), or treated with polyaluminum chloride or ferric sulfate coagulants. Total mercury and methylmercury concentrations in surface waters were decreased by 62% and 63% in polyaluminum chloride treated wetlands and 50% and 76% in ferric sulfate treated wetlands compared to control wetlands. Specifically, following coagulation, mercury was transferred from the filtered fraction of water into the particulate fraction of water which then settled within the wetland. Mosquitofish mercury concentrations were decreased by 35% in ferric sulfate treated wetlands compared to control wetlands. There was no reduction in mosquitofish mercury concentrations within the polyaluminum chloride treated wetlands, which may have been caused by production of bioavailable methylmercury within those wetlands. Coagulation may be an effective management strategy for reducing mercury contamination within wetlands, but further studies should explore potential effects on wetland ecosystems.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5b00655","usgsCitation":"Ackerman, J., Kraus, T.E., Fleck, J., Krabbenhoft, D.P., Horwarth, W.R., Bachand, S., Herzog, M.P., Hartman, C.A., and Bachand, P., 2015, Experimental dosing of wetlands with coagulants removes mercury from surface water and decreases mercury bioaccumulation in fish: Environmental Science & Technology, v. 49, no. 10, p. 6304-6311, https://doi.org/10.1021/acs.est.5b00655.","productDescription":"8 p.","startPage":"6304","endPage":"6311","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061945","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":300962,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","volume":"49","issue":"10","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-04","publicationStatus":"PW","scienceBaseUri":"556ed3bbe4b0d9246a9fa7d7","chorus":{"doi":"10.1021/acs.est.5b00655","url":"http://dx.doi.org/10.1021/acs.est.5b00655","publisher":"American Chemical Society (ACS)","authors":"Ackerman Joshua T., Kraus Tamara E. C., Fleck Jacob A., Krabbenhoft David P., Horwath William R., Bachand Sandra M., Herzog Mark P., Hartman C. Alex, Bachand Philip A. M.","journalName":"Environmental Science & Technology","publicationDate":"5/19/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":548006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Tamara E.C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":1452,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E.C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":548007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleck, Jacob A. 0000-0002-3217-3972 jafleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":141024,"corporation":false,"usgs":true,"family":"Fleck","given":"Jacob A.","email":"jafleck@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":548008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548009,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horwarth, William R.","contributorId":141025,"corporation":false,"usgs":false,"family":"Horwarth","given":"William","email":"","middleInitial":"R.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":548010,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bachand, Sandra M.","contributorId":45542,"corporation":false,"usgs":false,"family":"Bachand","given":"Sandra M.","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":548011,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548012,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hartman, C. Alex 0000-0002-7222-1633 chartman@usgs.gov","orcid":"https://orcid.org/0000-0002-7222-1633","contributorId":131157,"corporation":false,"usgs":true,"family":"Hartman","given":"C.","email":"chartman@usgs.gov","middleInitial":"Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548013,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bachand, Philip","contributorId":81013,"corporation":false,"usgs":false,"family":"Bachand","given":"Philip","email":"","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":548014,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70148061,"text":"70148061 - 2015 - Inter-laboratory variation in the chemical analysis of acidic forest soil reference samples from eastern North America","interactions":[],"lastModifiedDate":"2015-05-18T09:22:41","indexId":"70148061","displayToPublicDate":"2015-05-01T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Inter-laboratory variation in the chemical analysis of acidic forest soil reference samples from eastern North America","docAbstract":"Long-term forest soil monitoring and research often requires a comparison of laboratory data generated at different times and in different laboratories. Quantifying the uncertainty associated with these analyses is necessary to assess temporal changes in soil properties. Forest soil chemical properties, and methods to measure these properties, often differ from agronomic and horticultural soils. Soil proficiency programs do not generally include forest soil samples that are highly acidic, high in extractable Al, low in extractable Ca and often high in carbon. To determine the uncertainty associated with specific analytical methods for forest soils, we collected and distributed samples from two soil horizons (Oa and Bs) to 15 laboratories in the eastern United States and Canada. Soil properties measured included total organic carbon and nitrogen, pH and exchangeable cations. Overall, results were consistent despite some differences in methodology. We calculated the median absolute deviation (MAD) for each measurement and considered the acceptable range to be the median 6 2.5 3 MAD. Variability among laboratories was usually as low as the typical variability within a laboratory. A few areas of concern include a lack of consistency in the measurement and expression of results on a dry weight basis, relatively high variability in the C/N ratio in the Bs horizon, challenges associated with determining exchangeable cations at concentrations near the lower reporting range of some laboratories and the operationally defined nature of aluminum extractability. Recommendations include a continuation of reference forest soil exchange programs to quantify the uncertainty associated with these analyses in conjunction with ongoing efforts to review and standardize laboratory methods.
","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1890/ES14-00209.1","collaboration":"New York State Energy Research and Development Authority; USGS","usgsCitation":"Ross, D., Bailiey, S.W., Briggs, R., Curry, J., Fernandez, I.J., Fredriksen, G., Goodale, C.L., Hazlett, P.W., Heine, P.R., Johnson, C.E., Larson, J.T., Lawrence, G.B., Kolka, R.K., , O., Pare, D., Richter, D.D., Shirmer, C.D., and Warby, R.A., 2015, Inter-laboratory variation in the chemical analysis of acidic forest soil reference samples from eastern North America: Ecosphere, v. 6, no. 5, p. 1-22, https://doi.org/10.1890/ES14-00209.1.","productDescription":"22 p.","startPage":"1","endPage":"22","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060718","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":490035,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es14-00209.1","text":"Publisher Index Page"},{"id":300461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"5","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-08","publicationStatus":"PW","scienceBaseUri":"555b0d50e4b0a92fa7eac62b","contributors":{"authors":[{"text":"Ross, Donald S.","contributorId":9565,"corporation":false,"usgs":true,"family":"Ross","given":"Donald S.","affiliations":[],"preferred":false,"id":547022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailiey, Scott W","contributorId":140803,"corporation":false,"usgs":false,"family":"Bailiey","given":"Scott","email":"","middleInitial":"W","affiliations":[{"id":13575,"text":"Research Geologist, Hubbard Brook Experimental Forest, USDA Forest Service, North Woodstock, NH","active":true,"usgs":false}],"preferred":false,"id":547023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Russell D","contributorId":140804,"corporation":false,"usgs":false,"family":"Briggs","given":"Russell D","affiliations":[{"id":13576,"text":"Professor, Div of Environmental Science, SUNY College of ESF, Syracuse NY","active":true,"usgs":false}],"preferred":false,"id":547024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Curry, Johanna","contributorId":140805,"corporation":false,"usgs":false,"family":"Curry","given":"Johanna","email":"","affiliations":[{"id":13577,"text":"Supervisor, Great Lakes Forestry Centre, Sault Ste. Marie, Canada","active":true,"usgs":false}],"preferred":false,"id":547025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fernandez, Ivan J.","contributorId":80174,"corporation":false,"usgs":true,"family":"Fernandez","given":"Ivan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":547026,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fredriksen, Guinevere","contributorId":140806,"corporation":false,"usgs":false,"family":"Fredriksen","given":"Guinevere","email":"","affiliations":[{"id":13578,"text":"Research Support Spec I, Ecology & Evolutionary Biology, Cornell University, Ithaca NY","active":true,"usgs":false}],"preferred":false,"id":547027,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goodale, Christine L.","contributorId":22638,"corporation":false,"usgs":true,"family":"Goodale","given":"Christine","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":547028,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hazlett, Paul W.","contributorId":101177,"corporation":false,"usgs":true,"family":"Hazlett","given":"Paul","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":547029,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Heine, Paul R","contributorId":140807,"corporation":false,"usgs":false,"family":"Heine","given":"Paul","email":"","middleInitial":"R","affiliations":[{"id":13579,"text":"Lab Admin, Nicholas School of the Environment, Duke University, Durham NC","active":true,"usgs":false}],"preferred":false,"id":547030,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Johnson, Chris E.","contributorId":17539,"corporation":false,"usgs":true,"family":"Johnson","given":"Chris","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":547031,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Larson, John T","contributorId":140808,"corporation":false,"usgs":false,"family":"Larson","given":"John","email":"","middleInitial":"T","affiliations":[{"id":13580,"text":"Chemist, National Research Station, USDA Forest Service, Grand Rapids MN","active":true,"usgs":false}],"preferred":false,"id":547032,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":547021,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kolka, Randy K","contributorId":140809,"corporation":false,"usgs":false,"family":"Kolka","given":"Randy","email":"","middleInitial":"K","affiliations":[{"id":13581,"text":"Research Soil Scientist, National Research Station, USDA Forest Service, Grand Rapids MN","active":true,"usgs":false}],"preferred":false,"id":547033,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":" Ouimet","contributorId":140810,"corporation":false,"usgs":false,"given":"Ouimet","email":"","affiliations":[{"id":13582,"text":"Director of Forestry Research, Dept of Natural Resources & Wildlife, Quebec, Canada","active":true,"usgs":false}],"preferred":false,"id":547034,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Pare, D","contributorId":140812,"corporation":false,"usgs":false,"family":"Pare","given":"D","affiliations":[{"id":13584,"text":"Natural Resources Canada, Canadian Forest Service","active":true,"usgs":false}],"preferred":false,"id":547038,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Richter, Daniel D.","contributorId":99458,"corporation":false,"usgs":true,"family":"Richter","given":"Daniel","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":547035,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Shirmer, Charles D","contributorId":140811,"corporation":false,"usgs":false,"family":"Shirmer","given":"Charles","email":"","middleInitial":"D","affiliations":[{"id":13583,"text":"Instructional Support Specialist, Dept of Forest & Natural Resources Mgmt, SUNY College of ESF, Syracuse NY","active":true,"usgs":false}],"preferred":false,"id":547036,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Warby, Richard A.F.","contributorId":94950,"corporation":false,"usgs":true,"family":"Warby","given":"Richard","email":"","middleInitial":"A.F.","affiliations":[],"preferred":false,"id":547037,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70144914,"text":"sir20155052 - 2015 - Dam-breach analysis and flood-inundation mapping for selected dams in Oklahoma City, Oklahoma, and near Atoka, Oklahoma","interactions":[],"lastModifiedDate":"2015-05-01T09:03:41","indexId":"sir20155052","displayToPublicDate":"2015-05-01T08:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5052","title":"Dam-breach analysis and flood-inundation mapping for selected dams in Oklahoma City, Oklahoma, and near Atoka, Oklahoma","docAbstract":"Dams provide beneficial functions such as flood control, recreation, and storage of water supplies, but they also entail risk; dam breaches and resultant floods can cause substantial property damage and loss of life. The State of Oklahoma requires each owner of a high-hazard dam, which the Federal Emergency Management Agency defines as dams for which failure or improper operation probably will cause loss of human life, to develop an emergency action plan specific to that dam. Components of an emergency action plan are to simulate a flood resulting from a possible dam breach and map the resulting downstream flood-inundation areas. The resulting flood-inundation maps can provide valuable information to city officials, emergency managers, and local residents for planning an emergency response if a dam breach occurs.
\nThis report presents results of a cooperative study by the U.S. Geological Survey and the City of Oklahoma City to model dam-breach scenarios at 11 dams controlled and operated by Oklahoma City, Okla., and to map the potential flood-inundation areas of such dam breaches. To assist the City of Oklahoma City with completion of the emergency action plans for the 11 dams, the U.S. Geological Survey used light detection and ranging (lidar) elevation data (2004), which produced a 2-foot contour elevation map for the flood plains around Oklahoma City. A 5-meter Digital Terrain Map was used to model the flood plain below Atoka Reservoir in southeastern Oklahoma.
\nDigital-elevation models, field survey measurements, hydraulic data, and hydrologic data (U.S. Geological Survey streamflow-gaging stations North Canadian River below Lake Overholser near Oklahoma City, Okla. [07241000], and North Canadian River at Britton Road at Oklahoma City, Okla. [07241520]), were used as inputs for the one-dimensional dynamic (unsteady-flow) models using Hydrologic Engineering Centers River Analysis System (HEC–RAS) software. The modeled flood elevations were exported to a geographic information system to produce flood-inundation maps. Water-surface profiles were developed for a 75-percent probable maximum flood dam-breach scenario and a sunny-day dam-breach scenario, as well as for maximum flood-inundation elevations and flood-wave arrival times at selected bridge crossings. Points of interest such as community-services offices, recreational areas, water-treatment plants, and wastewater-treatment plants were identified on the flood-inundation maps.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155052","collaboration":"Prepared in cooperation with the City of Oklahoma City, Oklahoma","usgsCitation":"Shivers, M.J., Smith, S.J., Grout, T.S., and Lewis, J.M., 2015, Dam-breach analysis and flood-inundation mapping for selected dams in Oklahoma City, Oklahoma, and near Atoka, Oklahoma: U.S. Geological Survey Scientific Investigations Report 2015-5052, iv, 62 p., https://doi.org/10.3133/sir20155052.","productDescription":"iv, 62 p.","numberOfPages":"70","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062194","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":300014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155052.jpg"},{"id":299967,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5052/"},{"id":300011,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5052/pdf/sir2015-5052.pdf","text":"Report","size":"218 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"projection":"Oklahoma State Plane North Projection","datum":"North American Datum of 1983","country":"United States","state":"Oklahoma","city":"Atoka, Oklahoma City","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.01982116699219,\n 34.55576998934545\n ],\n [\n -96.1014461517334,\n 34.55591136515381\n ],\n [\n -96.12762451171875,\n 34.52890422689312\n ],\n [\n -96.12968444824219,\n 34.41965524340437\n ],\n [\n -96.15234375,\n 34.4100254237884\n ],\n [\n -96.15440368652344,\n 34.342869123388596\n ],\n [\n -96.03252410888672,\n 34.34201869856015\n ],\n [\n -96.03252410888672,\n 34.29721747208954\n ],\n [\n -95.98892211914062,\n 34.279914398549934\n ],\n [\n -95.9542465209961,\n 34.2796307119239\n ],\n [\n -95.95458984375,\n 34.16380672662591\n ],\n [\n -95.88626861572266,\n 34.14192993140303\n ],\n [\n -95.88661193847656,\n 34.07057793348581\n ],\n [\n -95.78979492187499,\n 34.06887157175501\n ],\n [\n -95.77640533447266,\n 34.177157309749425\n ],\n [\n -95.77812194824219,\n 34.235931546854395\n ],\n [\n -95.85502624511719,\n 34.34145174388328\n ],\n [\n -95.95149993896484,\n 34.34173522170086\n ],\n [\n -95.95115661621094,\n 34.408325928756256\n ],\n [\n -96.01982116699219,\n 34.55576998934545\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.60690307617188,\n 34.37631232462591\n ],\n [\n -96.60690307617188,\n 34.38807095584581\n ],\n [\n -96.59608840942381,\n 34.38807095584581\n ],\n [\n -96.59608840942381,\n 34.37631232462591\n ],\n [\n -96.60690307617188,\n 34.37631232462591\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.46160507202147,\n 35.927980690382704\n ],\n [\n -97.39002227783203,\n 35.927841686570325\n ],\n [\n -97.38933563232422,\n 35.82393759512952\n ],\n [\n -97.42512702941893,\n 35.823868001915216\n ],\n [\n -97.42504119873047,\n 35.74874138089811\n ],\n [\n -97.52632141113281,\n 35.7491593341318\n ],\n [\n -97.52666473388672,\n 35.65339076867334\n ],\n [\n -97.35260009765625,\n 35.652832827451626\n ],\n [\n -97.35345840454102,\n 35.61348814994753\n ],\n [\n -97.19484329223633,\n 35.612790374563865\n ],\n [\n -97.19432830810547,\n 35.49533798195248\n ],\n [\n -97.3886489868164,\n 35.49491869995394\n ],\n [\n -97.38830566406249,\n 35.38904996691167\n ],\n [\n -97.3000717163086,\n 35.38932985634939\n ],\n [\n -97.22265243530273,\n 35.345095280668005\n ],\n [\n -97.20291137695312,\n 35.2872458383096\n ],\n [\n -97.20119476318358,\n 35.207197008288\n ],\n [\n -97.24685668945311,\n 35.167353459664824\n ],\n [\n -97.35277175903319,\n 35.16763411633447\n ],\n [\n -97.35328674316406,\n 35.240571975147446\n ],\n [\n -97.42401123046875,\n 35.240291570433705\n ],\n [\n -97.4241828918457,\n 35.34929580703463\n ],\n [\n -97.54846572875977,\n 35.348315703752654\n ],\n [\n -97.5479507446289,\n 35.43214149578217\n ],\n [\n -97.71514892578124,\n 35.431861754987615\n ],\n [\n -97.71326065063477,\n 35.51895400055888\n ],\n [\n -97.65369415283203,\n 35.51881428123057\n ],\n [\n -97.63858795166016,\n 35.55485380401209\n ],\n [\n -97.63927459716797,\n 35.63776694133777\n ],\n [\n -97.74621963500977,\n 35.63734840394896\n ],\n [\n -97.7457046508789,\n 35.70149853168077\n ],\n [\n -97.6142120361328,\n 35.8250510782599\n ],\n [\n -97.46160507202147,\n 35.927980690382704\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"554495a9e4b0a658d7947887","contributors":{"authors":[{"text":"Shivers, Molly J. mshivers@usgs.gov","contributorId":4062,"corporation":false,"usgs":true,"family":"Shivers","given":"Molly","email":"mshivers@usgs.gov","middleInitial":"J.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, S. Jerrod 0000-0002-9379-8167 sjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-9379-8167","contributorId":981,"corporation":false,"usgs":true,"family":"Smith","given":"S.","email":"sjsmith@usgs.gov","middleInitial":"Jerrod","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grout, Trevor S.","contributorId":140044,"corporation":false,"usgs":false,"family":"Grout","given":"Trevor","email":"","middleInitial":"S.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":545828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lewis, Jason M. 0000-0001-5337-1890 jmlewis@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1890","contributorId":3854,"corporation":false,"usgs":true,"family":"Lewis","given":"Jason","email":"jmlewis@usgs.gov","middleInitial":"M.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545829,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192504,"text":"70192504 - 2015 - A comparison of high-resolution specific conductance-based end-member mixing analysis and a graphical method for baseflow separation of four streams in hydrologically challenging agricultural watersheds","interactions":[],"lastModifiedDate":"2017-10-26T10:42:26","indexId":"70192504","displayToPublicDate":"2015-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of high-resolution specific conductance-based end-member mixing analysis and a graphical method for baseflow separation of four streams in hydrologically challenging agricultural watersheds","docAbstract":"Quantifying the relative contributions of different sources of water to a stream hydrograph is important for understanding the hydrology and water quality dynamics of a given watershed. To compare the performance of two methods of hydrograph separation, a graphical program [baseflow index (BFI)] and an end-member mixing analysis that used high-resolution specific conductance measurements (SC-EMMA) were used to estimate daily and average long-term slowflow additions of water to four small, primarily agricultural streams with different dominant sources of water (natural groundwater, overland flow, subsurface drain outflow, and groundwater from irrigation). Because the result of hydrograph separation by SC-EMMA is strongly related to the choice of slowflow and fastflow end-member values, a sensitivity analysis was conducted based on the various approaches reported in the literature to inform the selection of end-members. There were substantial discrepancies among the BFI and SC-EMMA, and neither method produced reasonable results for all four streams. Streams that had a small difference in the SC of slowflow compared with fastflow or did not have a monotonic relationship between streamflow and stream SC posed a challenge to the SC-EMMA method. The utility of the graphical BFI program was limited in the stream that had only gradual changes in streamflow. The results of this comparison suggest that the two methods may be quantifying different sources of water. Even though both methods are easy to apply, they should be applied with consideration of the streamflow and/or SC characteristics of a stream, especially where anthropogenic water sources (irrigation and subsurface drainage) are present.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10378","usgsCitation":"Kronholm, S.C., and Capel, P.D., 2015, A comparison of high-resolution specific conductance-based end-member mixing analysis and a graphical method for baseflow separation of four streams in hydrologically challenging agricultural watersheds: Hydrological Processes, v. 29, no. 11, p. 2521-2533, https://doi.org/10.1002/hyp.10378.","productDescription":"13 p.","startPage":"2521","endPage":"2533","ipdsId":"IP-052308","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":347441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-27","publicationStatus":"PW","scienceBaseUri":"5a07eb5de4b09af898c8ccdd","contributors":{"authors":[{"text":"Kronholm, Scott C.","contributorId":184190,"corporation":false,"usgs":false,"family":"Kronholm","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":716087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Capel, Paul D. 0000-0003-1620-5185 capel@usgs.gov","orcid":"https://orcid.org/0000-0003-1620-5185","contributorId":1002,"corporation":false,"usgs":true,"family":"Capel","given":"Paul","email":"capel@usgs.gov","middleInitial":"D.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716086,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70195882,"text":"70195882 - 2015 - Comparing activated alumina with indigenous laterite and bauxite as potential sorbents for removing fluoride from drinking water in Ghana","interactions":[],"lastModifiedDate":"2018-03-07T15:07:24","indexId":"70195882","displayToPublicDate":"2015-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Comparing activated alumina with indigenous laterite and bauxite as potential sorbents for removing fluoride from drinking water in Ghana","docAbstract":"Fluoride is considered beneficial to teeth and bones when consumed in low concentrations, but at elevated concentrations it can cause dental and skeletal fluorosis. Most fluoride-related health problems occur in poor, rural communities of the developing world where groundwater fluoride concentrations are high and the primary sources of drinking water are from community hand-pump borehole drilled wells. One solution to drinking high fluoride water is to attach a simple de-fluoridation filter to the hand-pump; and indigenous materials have been recommended as low-cost sorbents for use in these filters. In an effort to develop an effective, inexpensive, and low-maintenance de-fluoridation filter for a high fluoride region in rural northern Ghana, this study conducted batch fluoride adsorption experiments and potentiometric titrations to investigate the effectiveness of indigenous laterite and bauxite as sorbents for fluoride removal. It also determined the physical and chemical properties of each sorbent. Their properties and the experimental results, including fluoride adsorption capacity, were then compared to those of activated alumina, which has been identified as a good sorbent for removing fluoride from drinking water. The results indicate that, of the three sorbents, bauxite has the highest fluoride adsorption capacity per unit area, but is limited by a low specific surface area. When considering fluoride adsorption per unit weight, activated alumina has the highest fluoride adsorption capacity because of its high specific surface area. Activated alumina also adsorbs fluoride well in a wider pH range than bauxite, and particularly laterite. The differences in adsorption capacity are largely due to surface area, pore size, and mineralogy of the sorbent.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2015.02.004","usgsCitation":"Craig, L., Stillings, L.L., Decker, D.L., and Thomas, J.M., 2015, Comparing activated alumina with indigenous laterite and bauxite as potential sorbents for removing fluoride from drinking water in Ghana: Applied Geochemistry, v. 56, p. 50-66, https://doi.org/10.1016/j.apgeochem.2015.02.004.","productDescription":"17 p.","startPage":"50","endPage":"66","ipdsId":"IP-081848","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":352301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ghana","volume":"56","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeebbee4b0da30c1bfc67d","contributors":{"authors":[{"text":"Craig, Laura","contributorId":173675,"corporation":false,"usgs":false,"family":"Craig","given":"Laura","affiliations":[{"id":27270,"text":"American Rivers","active":true,"usgs":false}],"preferred":false,"id":730388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stillings, Lisa L. 0000-0002-9011-8891 stilling@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-8891","contributorId":193548,"corporation":false,"usgs":true,"family":"Stillings","given":"Lisa","email":"stilling@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":730387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Decker, David L.","contributorId":193549,"corporation":false,"usgs":false,"family":"Decker","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":730389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas, James M.","contributorId":195094,"corporation":false,"usgs":false,"family":"Thomas","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":730390,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195944,"text":"70195944 - 2015 - Evidence of bottom-up limitations in nearshore marine systems based on otolith proxies of fish growth","interactions":[],"lastModifiedDate":"2018-03-09T10:12:14","indexId":"70195944","displayToPublicDate":"2015-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of bottom-up limitations in nearshore marine systems based on otolith proxies of fish growth","docAbstract":"Fish otolith growth increments were used as indices of annual production at nine nearshore sites within the Alaska Coastal Current (downwelling region) and California Current (upwelling region) systems (~36–60°N). Black rockfish (Sebastes melanops) and kelp greenling (Hexagrammos decagrammus) were identified as useful indicators in pelagic and benthic nearshore food webs, respectively. To examine the support for bottom-up limitations, common oceanographic indices of production [sea surface temperature (SST), upwelling, and chlorophyll-a concentration] during summer (April–September) were compared to spatial and temporal differences in fish growth using linear mixed models. The relationship between pelagic black rockfish growth and SST was positive in the cooler Alaska Coastal Current and negative in the warmer California Current. These contrasting growth responses to SST among current systems are consistent with the optimal stability window hypothesis in which pelagic production is maximized at intermediate levels of water column stability. Increased growth rates of black rockfish were associated with higher chlorophyll concentrations in the California Current only, but black rockfish growth was unrelated to the upwelling index in either current system. Benthic kelp greenling growth rates were positively associated with warmer temperatures and relaxation of downwelling (upwelling index near zero) in the Alaska Coastal Current, while none of the oceanographic indices were related to their growth in the California Current. Overall, our results are consistent with bottom-up forcing of nearshore marine ecosystems—light and nutrients constrain primary production in pelagic food webs, and temperature constrains benthic food webs.
","language":"English","publisher":"Springer","doi":"10.1007/s00227-015-2645-5","usgsCitation":"von Biela, V.R., Kruse, G.H., Mueter, F.J., Black, B.A., Douglas, D.C., Helser, T.E., and Zimmerman, C.E., 2015, Evidence of bottom-up limitations in nearshore marine systems based on otolith proxies of fish growth: Marine Biology, v. 162, no. 5, p. 1019-1031, https://doi.org/10.1007/s00227-015-2645-5.","productDescription":"13 p.","startPage":"1019","endPage":"1031","ipdsId":"IP-057775","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":352357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"162","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-10","publicationStatus":"PW","scienceBaseUri":"5afeebbee4b0da30c1bfc67b","contributors":{"authors":[{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":730626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kruse, Gordon H.","contributorId":187450,"corporation":false,"usgs":false,"family":"Kruse","given":"Gordon","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":730627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueter, Franz J.","contributorId":131144,"corporation":false,"usgs":false,"family":"Mueter","given":"Franz","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":730628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Black, Bryan A.","contributorId":68448,"corporation":false,"usgs":false,"family":"Black","given":"Bryan","email":"","middleInitial":"A.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":730629,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":730630,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Helser, Thomas E.","contributorId":203203,"corporation":false,"usgs":false,"family":"Helser","given":"Thomas","email":"","middleInitial":"E.","affiliations":[{"id":36580,"text":"Alaska Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, Washington","active":true,"usgs":false}],"preferred":false,"id":730631,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":730632,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192076,"text":"70192076 - 2015 - Optimizing water depth for wetland-dependent wildlife could increase wetland restoration success, water efficiency, and water security","interactions":[],"lastModifiedDate":"2017-10-19T15:43:27","indexId":"70192076","displayToPublicDate":"2015-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Optimizing water depth for wetland-dependent wildlife could increase wetland restoration success, water efficiency, and water security","docAbstract":"Securing water for wetland restoration efforts will be increasingly difficult as human populations demand more water and climate change alters the hydrologic cycle. Minimizing water use at a restoration site could help justify water use to competing users, thereby increasing future water security. Moreover, optimizing water depth for focal species will increase habitat quality and the probability that the restoration is successful. We developed and validated spatial habitat models to optimize water depth within wetland restoration projects along the lower Colorado River intended to benefit California black rails (Laterallus jamaicensis coturniculus). We observed a 358% increase in the number of black rails detected in the year after manipulating water depth to maximize the amount of predicted black rail habitat in two wetlands. The number of black rail detections in our restoration sites was similar to those at our reference site. Implementing the optimal water depth in each wetland decreased water use while simultaneously increasing habitat suitability for the focal species. Our results also provide experimental confirmation of past descriptive accounts of black rail habitat preferences and provide explicit water depth recommendations for future wetland restoration efforts for this species of conservation concern; maintain surface water depths between saturated soil and 100 mm. Efforts to optimize water depth in restored wetlands around the world would likely increase the success of wetland restorations for the focal species while simultaneously minimizing and justifying water use.
","language":"English","publisher":"Wiley","doi":"10.1111/rec.12180","usgsCitation":"Nadeau, C.P., and Conway, C.J., 2015, Optimizing water depth for wetland-dependent wildlife could increase wetland restoration success, water efficiency, and water security: Restoration Ecology, v. 23, no. 3, p. 292-300, https://doi.org/10.1111/rec.12180.","productDescription":"9 p.","startPage":"292","endPage":"300","ipdsId":"IP-059792","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472119,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.12180","text":"Publisher Index Page"},{"id":347002,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Imperial National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.50122833251952,\n 32.980948149798444\n ],\n [\n -114.47994232177734,\n 32.980948149798444\n ],\n [\n -114.47994232177734,\n 33.00995906391421\n ],\n [\n -114.50122833251952,\n 33.00995906391421\n ],\n [\n -114.50122833251952,\n 32.980948149798444\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-20","publicationStatus":"PW","scienceBaseUri":"59e9b997e4b05fe04cd65cd7","contributors":{"authors":[{"text":"Nadeau, Christopher P.","contributorId":105956,"corporation":false,"usgs":true,"family":"Nadeau","given":"Christopher","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":714171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714090,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70157197,"text":"70157197 - 2015 - Structure, diversity, and biophysical properties of old-growth forestsin the Klamath region, USA","interactions":[],"lastModifiedDate":"2022-11-04T17:23:39.737409","indexId":"70157197","displayToPublicDate":"2015-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Structure, diversity, and biophysical properties of old-growth forestsin the Klamath region, USA","docAbstract":"The diverse old-growth forests in Klamath region of northern California and southern Oregon provide valuable ecosystem services (e.g., maintaining watersheds, wildlife habitat, recreation), but may be vulnerable to a wide range of stressors, including invasive species, disrupted disturbance regimes, and climatic change. Yet our understanding of how forest structure in the Klamath region relates to the current physical environment is limited. Here we provide present-day benchmarks for old-growth forest structure across a climatic gradient ranging from coastal to dry interior sites. We established 16 large (1 ha) forest plots where all stems > 5 cm in diameter were identified to species and mapped. Climate across these sites was highly variable, with estimated actual evapotranspiration correlated to several basic measures of forest structure, including plot basal area, stem size-class inequality, tree species diversity and, to a lesser extent, tree species richness. Analyses of the spatial arrangement of stems indicated a high degree of non-uniformity, with 75% of plots showing significant stem clumping at small spatial scales (0 to 10 m). Downscaled predictions of future site water balance suggest changes will be dominated by rapidly increasing climatic water deficit (D, a biologically meaningful index of drought). While these plots give a picture of current conditions, continued monitoring of these stands is needed to describe forest dynamics and to detect forest responses to ongoing and future stressors.
","language":"English","publisher":"Northwest Scientific Association","doi":"10.3955/046.089.0208","usgsCitation":"van Mantgem, P.J., and Starr, D.A., 2015, Structure, diversity, and biophysical properties of old-growth forestsin the Klamath region, USA: Northwest Science, v. 89, no. 2, p. 170-181, https://doi.org/10.3955/046.089.0208.","productDescription":"12 p.","startPage":"170","endPage":"181","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057175","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":308319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Klamath region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.02669821947904,\n 40.55193011500444\n ],\n [\n -124.10728766458783,\n 40.38178289151119\n ],\n [\n -123.92690930172469,\n 40.15872867029569\n ],\n [\n -123.460413535699,\n 39.973082972414375\n ],\n [\n -123.13697647125477,\n 39.77259139263015\n ],\n [\n -122.91305850356252,\n 39.87291043725824\n ],\n [\n -122.58340149557124,\n 39.83948702995778\n ],\n [\n -122.68292059232321,\n 40.10641829064292\n ],\n [\n -122.78243968907557,\n 40.3486086802817\n ],\n [\n -122.45900262463097,\n 40.500128901388365\n ],\n [\n -122.30972397950279,\n 40.707911608247116\n ],\n [\n -122.07958606826386,\n 40.72205508394069\n ],\n [\n -121.78724872155423,\n 40.63714916698754\n ],\n [\n -121.63797007642643,\n 40.88213775947156\n ],\n [\n -120.31339192191655,\n 41.690284071700205\n ],\n [\n -120.0459343493952,\n 41.98686090989037\n ],\n [\n -120.07703406713017,\n 42.58962677564537\n ],\n [\n -120.36315147029235,\n 42.78165826705319\n ],\n [\n -120.49377028477969,\n 42.98219726122778\n ],\n [\n -120.49999022832675,\n 43.06859210365863\n ],\n [\n -121.02246548627497,\n 43.08222227926453\n ],\n [\n -121.8372780909328,\n 42.963993380759405\n ],\n [\n -121.91191741349687,\n 43.11855459221624\n ],\n [\n -121.80617837319781,\n 43.33157144840638\n ],\n [\n -122.12339549409535,\n 43.47617820234612\n ],\n [\n -122.54635165529157,\n 43.51678665434244\n ],\n [\n -123.00040753422313,\n 43.426508565122475\n ],\n [\n -123.08126680033429,\n 43.37679813823786\n ],\n [\n -123.13102634871007,\n 43.21402097352191\n ],\n [\n -123.27408505029115,\n 43.11875154530409\n ],\n [\n -123.70326115503482,\n 42.991494543038016\n ],\n [\n -123.95205889691498,\n 43.086962052805376\n ],\n [\n -124.21329652588926,\n 43.046065594319714\n ],\n [\n -124.4931939855044,\n 42.96419083063651\n ],\n [\n -124.39989483229948,\n 42.66762371462826\n ],\n [\n -124.43099455003446,\n 42.438527683557936\n ],\n [\n -124.35013528392331,\n 42.1671131599943\n ],\n [\n -124.12621731623105,\n 42.01479497495674\n ],\n [\n -124.20085663879513,\n 41.77867497339892\n ],\n [\n -124.08267771140194,\n 41.527714492760424\n ],\n [\n -124.1324372597781,\n 41.266426978492035\n ],\n [\n -124.01425833238493,\n 40.89133839023941\n ],\n [\n -124.02669821947904,\n 40.55193011500444\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56012aabe4b03bc34f544432","contributors":{"authors":[{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422 pvanmantgem@usgs.gov","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":2838,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip","email":"pvanmantgem@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":572233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Starr, Daniel A","contributorId":147640,"corporation":false,"usgs":false,"family":"Starr","given":"Daniel","email":"","middleInitial":"A","affiliations":[{"id":7237,"text":"NPS, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":572234,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70160543,"text":"70160543 - 2015 - First record of a banded Sandwich Tern (Thalasseus sandvicensis) moving from England to the United States","interactions":[],"lastModifiedDate":"2015-12-22T16:27:52","indexId":"70160543","displayToPublicDate":"2015-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"First record of a banded Sandwich Tern (Thalasseus sandvicensis) moving from England to the United States","docAbstract":"A Sandwich Tern (Thalasseus sandvicensis sandvicensis) banded as a chick in 2002 at Coquet Island off the northeast coast of Great Britain was observed at two locations on Cape Cod, Massachusetts, USA, in August and September 2013. This is the first record of a banded Sandwich Tern from the United Kingdom being observed in the United States.
","language":"English","publisher":"Waterbird Society","doi":"10.1675/063.038.0407","usgsCitation":"Spendelow, J.A., 2015, First record of a banded Sandwich Tern (Thalasseus sandvicensis) moving from England to the United States: Waterbirds, v. 38, no. 4, p. 425-426, https://doi.org/10.1675/063.038.0407.","productDescription":"2 p.","startPage":"425","endPage":"426","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066219","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":312752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312735,"type":{"id":15,"text":"Index Page"},"url":"https://www.bioone.org/doi/abs/10.1675/063.038.0407"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -69.93209838867188,\n 41.6682956292328\n ],\n [\n -69.92317199707031,\n 41.79025683432948\n ],\n [\n -69.98703002929688,\n 41.980931764968034\n ],\n [\n -70.05020141601562,\n 42.04827286732349\n ],\n [\n -70.14083862304688,\n 42.086503089329334\n ],\n [\n -70.21430969238281,\n 42.08803181932636\n ],\n [\n -70.25482177734375,\n 42.072742861634964\n ],\n [\n -70.24864196777342,\n 42.039094188385945\n ],\n [\n -70.18684387207031,\n 42.01563154037739\n ],\n [\n -70.15869140625,\n 42.02124296136385\n ],\n [\n -70.16693115234375,\n 42.03756427964805\n ],\n [\n -70.19645690917969,\n 42.03858422289913\n ],\n [\n -70.20057678222656,\n 42.05439124994332\n ],\n [\n -70.16899108886719,\n 42.06611650263106\n ],\n [\n -70.12779235839844,\n 42.06458724463074\n ],\n [\n -70.10719299316406,\n 42.047253079589595\n ],\n [\n -70.04470825195312,\n 42.00542768820574\n ],\n [\n -70.04470825195312,\n 41.988587753698354\n ],\n [\n -70.06324768066406,\n 41.983994270935625\n ],\n [\n -70.06599426269531,\n 41.96663812286332\n ],\n [\n -70.0769805908203,\n 41.95489451722692\n ],\n [\n -70.07217407226562,\n 41.92118345933602\n ],\n [\n -70.07217407226562,\n 41.89767733570708\n ],\n [\n -70.05294799804688,\n 41.92169436589447\n ],\n [\n -70.0543212890625,\n 41.94263801258577\n ],\n [\n -70.04264831542969,\n 41.95693703889415\n ],\n [\n -70.02616882324219,\n 41.95234127309011\n ],\n [\n -69.99732971191406,\n 41.923737951221014\n ],\n [\n -69.98291015625,\n 41.90329915269292\n ],\n [\n -69.98565673828125,\n 41.8787639554894\n ],\n [\n -69.96505737304688,\n 41.86342467181006\n ],\n [\n -69.96437072753906,\n 41.84501267270692\n ],\n [\n -69.97123718261719,\n 41.83529309193198\n ],\n [\n -69.96711730957031,\n 41.81943165932007\n ],\n [\n -69.95475769042969,\n 41.801006999656636\n ],\n [\n -69.93827819824219,\n 41.792816561051815\n ],\n [\n -69.94377136230469,\n 41.77592047575288\n ],\n [\n -69.949951171875,\n 41.75850773115229\n ],\n [\n -69.94102478027344,\n 41.73033005046653\n ],\n [\n -69.93690490722655,\n 41.71187978193456\n ],\n [\n -69.94377136230469,\n 41.6770148220322\n ],\n [\n -69.93896484375,\n 41.66983439613616\n ],\n [\n -69.93209838867188,\n 41.6682956292328\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"567a823be4b0a04ef490fce7","contributors":{"authors":[{"text":"Spendelow, Jeffrey A. 0000-0001-8167-0898 jspendelow@usgs.gov","orcid":"https://orcid.org/0000-0001-8167-0898","contributorId":4355,"corporation":false,"usgs":true,"family":"Spendelow","given":"Jeffrey","email":"jspendelow@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":583092,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70157064,"text":"70157064 - 2015 - Comparison of three preservation techniques for slowing dissolution of calcareous nannofossils in organic rich sediments","interactions":[],"lastModifiedDate":"2016-02-11T10:59:46","indexId":"70157064","displayToPublicDate":"2015-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2735,"text":"Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of three preservation techniques for slowing dissolution of calcareous nannofossils in organic rich sediments","docAbstract":"In an attempt to halt or reduce dissolution of calcareous nannofossils in organic and/or pyrite-rich sediments, three different methods of short-term storage preservation were tested for efficacy: vacuum packing, argon gas replacement, and buffered water. Abundance counts of calcareous nannofossil assemblages over a six month period showed that none of the three preservation methods were consistently effective in reducing assemblage loss due to dissolution. In most cases, the control slides made at the drill site had more abundant calcareous nannofossil assemblages than those slides made from sediments stored via vacuum packing, argon gas replacement, or buffered water. Thin section and XRD analyses showed that in most cases, <1% pyrite was needed to drive the oxidation-reduction reaction that resulted in dissolution, even in carbonate-rich sediments.
","language":"English","publisher":"Micropaleontology Press","usgsCitation":"Seefelt, E., Self-Trail, J., and Schultz, A.P., 2015, Comparison of three preservation techniques for slowing dissolution of calcareous nannofossils in organic rich sediments: Micropaleontology, v. 61, no. 3, p. 149-164.","productDescription":"16 p.","startPage":"149","endPage":"164","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063641","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":308498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":308497,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/micropaleontology/issue-315/article-1920"}],"country":"United States","state":"Georgia, Maryland, North Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.47558593749999,\n 34.52918706954935\n ],\n [\n -77.47558593749999,\n 34.68291096793206\n ],\n [\n -77.266845703125,\n 34.68291096793206\n ],\n [\n -77.266845703125,\n 34.52918706954935\n ],\n [\n -77.47558593749999,\n 34.52918706954935\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.5240478515625,\n 32.17096283641326\n ],\n [\n -81.5240478515625,\n 32.2801666335657\n ],\n [\n -81.37847900390625,\n 32.2801666335657\n ],\n [\n -81.37847900390625,\n 32.17096283641326\n ],\n [\n -81.5240478515625,\n 32.17096283641326\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.11328125,\n 38.856820134743636\n ],\n [\n -76.11328125,\n 39.06184913429154\n ],\n [\n -75.8056640625,\n 39.06184913429154\n ],\n [\n -75.8056640625,\n 38.856820134743636\n ],\n [\n -76.11328125,\n 38.856820134743636\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"61","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56051ebae4b058f706e512b4","contributors":{"authors":[{"text":"Seefelt, Ellen 0000-0001-6822-7402 eseefelt@usgs.gov","orcid":"https://orcid.org/0000-0001-6822-7402","contributorId":2953,"corporation":false,"usgs":true,"family":"Seefelt","given":"Ellen","email":"eseefelt@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":571447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":571448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schultz, Arthur P. aschultz@usgs.gov","contributorId":3252,"corporation":false,"usgs":true,"family":"Schultz","given":"Arthur","email":"aschultz@usgs.gov","middleInitial":"P.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":571449,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159329,"text":"70159329 - 2015 - Vegetation community response to tidal marsh restoration of a large river estuary","interactions":[],"lastModifiedDate":"2017-07-26T17:10:45","indexId":"70159329","displayToPublicDate":"2015-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Vegetation community response to tidal marsh restoration of a large river estuary","docAbstract":"Estuaries are biologically productive and diverse ecosystems that provide ecosystem services including protection of inland areas from flooding, filtering freshwater outflows, and providing habitats for fish and wildlife. Alteration of historic habitats, including diking for agriculture, has decreased the function of many estuarine systems, and recent conservation efforts have been directed at restoring these degraded areas to reestablish their natural resource function. The Nisqually Delta in southern Puget Sound is an estuary that has been highly modified by restricting tidal flow, and recent restoration of the delta contributed to one of the largest tidal salt marsh restorations in the Pacific Northwest. We correlated the response of nine major tidal marsh species to salinities at different elevation zones. Our results indicated that wetland species richness was not related to soil pore-water salinity (R2 = 0.03), but were stratified into different elevation zones (R2 = 0.47). Thus, restoration that fosters a wide range of elevations will provide the most diverse plant habitat, and potentially, the greatest resilience to environmental change.
","language":"English","publisher":"Northwest Scientific Association","doi":"10.3955/046.089.0205","usgsCitation":"Belleveau, L.J., Takekawa, J.Y., Woo, I., Turner, K.L., Barham, J.B., Takekawa, J.E., Ellings, C.S., and Chin-Leo, G., 2015, Vegetation community response to tidal marsh restoration of a large river estuary: Northwest Science, v. 89, no. 2, p. 136-147, https://doi.org/10.3955/046.089.0205.","productDescription":"12 p.","startPage":"136","endPage":"147","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061861","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":310321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Nisqually Delta, Puget Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.84912109375,\n 47.082280017014014\n ],\n [\n -122.84912109375,\n 47.21397145824759\n ],\n [\n -122.58407592773438,\n 47.21397145824759\n ],\n [\n -122.58407592773438,\n 47.082280017014014\n ],\n [\n -122.84912109375,\n 47.082280017014014\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"89","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562a08fbe4b011227bf1fe0a","contributors":{"authors":[{"text":"Belleveau, Lisa J.","contributorId":149341,"corporation":false,"usgs":false,"family":"Belleveau","given":"Lisa","email":"","middleInitial":"J.","affiliations":[{"id":17709,"text":"USGS student, Evergreen State College","active":true,"usgs":false}],"preferred":false,"id":578024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":578023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":578025,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turner, Kelley L.","contributorId":146990,"corporation":false,"usgs":false,"family":"Turner","given":"Kelley","email":"","middleInitial":"L.","affiliations":[{"id":16767,"text":"WERC, USGS former employee","active":true,"usgs":false}],"preferred":false,"id":578026,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barham, Jesse B.","contributorId":149342,"corporation":false,"usgs":false,"family":"Barham","given":"Jesse","email":"","middleInitial":"B.","affiliations":[{"id":17710,"text":"Nisqually NWR, USFWS, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":578027,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Takekawa, Jean E.","contributorId":146991,"corporation":false,"usgs":false,"family":"Takekawa","given":"Jean","email":"","middleInitial":"E.","affiliations":[{"id":16768,"text":"USFWS, Nisqually NWR, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":578028,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ellings, Christopher S.","contributorId":149343,"corporation":false,"usgs":false,"family":"Ellings","given":"Christopher","email":"","middleInitial":"S.","affiliations":[{"id":17711,"text":"Dep't Natural Resources, Nisqually Indian Tribe, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":578029,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chin-Leo, Gerardo","contributorId":149344,"corporation":false,"usgs":false,"family":"Chin-Leo","given":"Gerardo","email":"","affiliations":[{"id":17712,"text":"Evergreen State College, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":578030,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70159354,"text":"70159354 - 2015 - Groundwater movement, recharge, and perchlorate occurrence in a faulted alluvial aquifer in California (USA)","interactions":[],"lastModifiedDate":"2025-01-29T15:41:21.049913","indexId":"70159354","displayToPublicDate":"2015-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater movement, recharge, and perchlorate occurrence in a faulted alluvial aquifer in California (USA)","docAbstract":"Perchlorate from military, industrial, and legacy agricultural sources is present within an alluvial aquifer in the Rialto-Colton groundwater subbasin, 80 km east of Los Angeles, California (USA). The area is extensively faulted, with water-level differences exceeding 60 m across parts of the Rialto-Colton Fault separating the Rialto-Colton and Chino groundwater subbasins. Coupled well-bore flow and depth-dependent water-quality data show decreases in well yield and changes in water chemistry and isotopic composition, reflecting changing aquifer properties and groundwater recharge sources with depth. Perchlorate movement through some wells under unpumped conditions from shallower to deeper layers underlying mapped plumes was as high as 13 kg/year. Water-level maps suggest potential groundwater movement across the Rialto-Colton Fault through an overlying perched aquifer. Upward flow through a well in the Chino subbasin near the Rialto-Colton Fault suggests potential groundwater movement across the fault through permeable layers within partly consolidated deposits at depth. Although potentially important locally, movement of groundwater from the Rialto-Colton subbasin has not resulted in widespread occurrence of perchlorate within the Chino subbasin. Nitrate and perchlorate concentrations at the water table, associated with legacy agricultural fertilizer use, may be underestimated by data from long-screened wells that mix water from different depths within the aquifer.
","language":"English","publisher":"Springer","doi":"10.1007/s10040-014-1217-y","usgsCitation":"Izbicki, J.A., Teague, N.F., Hatzinger, P.B., Bohlke, J.K., and Sturchio, N.C., 2015, Groundwater movement, recharge, and perchlorate occurrence in a faulted alluvial aquifer in California (USA): Hydrogeology Journal, v. 23, no. 3, p. 467-491, https://doi.org/10.1007/s10040-014-1217-y.","productDescription":"25 p.","startPage":"467","endPage":"491","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043911","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":310773,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":385546,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/ja/70159354/Izbicki_May2015_article_HydrogeologyJournal_v23_p467-491.pdf","text":"USGS open-access version of article","size":"6 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":385547,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ja/70159354/ESM_Izbicki_May2015_article_HydrogeologyJournal_v23_p467-491.pdf","text":"USGS open-access version of supplemental material","size":"2 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Chino subbasin, Rialto-colton subbasin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.50701904296875,\n 34.35477416538757\n ],\n [\n -117.98217773437499,\n 34.687427949314845\n ],\n [\n -118.0975341796875,\n 34.472599425831355\n ],\n [\n -117.9766845703125,\n 34.03900467904445\n ],\n [\n -117.11700439453125,\n 33.715201644740844\n ],\n [\n -117.10052490234375,\n 33.84532650276791\n ],\n [\n -117.50701904296875,\n 34.35477416538757\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-16","publicationStatus":"PW","scienceBaseUri":"5633433ce4b048076347eec9","contributors":{"authors":[{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":149374,"corporation":false,"usgs":true,"family":"Izbicki","given":"John","email":"jaizbick@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":578174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teague, Nicholas F. 0000-0001-5289-1210 nteague@usgs.gov","orcid":"https://orcid.org/0000-0001-5289-1210","contributorId":2145,"corporation":false,"usgs":true,"family":"Teague","given":"Nicholas","email":"nteague@usgs.gov","middleInitial":"F.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":578178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hatzinger, Paul B.","contributorId":149376,"corporation":false,"usgs":false,"family":"Hatzinger","given":"Paul","email":"","middleInitial":"B.","affiliations":[{"id":17721,"text":"Shaw Environmental, Princeton, NJ","active":true,"usgs":false}],"preferred":false,"id":578177,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bohlke, John Karl 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":127841,"corporation":false,"usgs":true,"family":"Bohlke","given":"John","email":"jkbohlke@usgs.gov","middleInitial":"Karl","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":578175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sturchio, Neil C.","contributorId":149375,"corporation":false,"usgs":false,"family":"Sturchio","given":"Neil","email":"","middleInitial":"C.","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":578176,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70182178,"text":"70182178 - 2015 - Source limitation of carbon gas emissions in high-elevation mountain streams and lakes","interactions":[],"lastModifiedDate":"2018-04-02T16:36:23","indexId":"70182178","displayToPublicDate":"2015-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2319,"text":"Journal of Geophysical Research G: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Source limitation of carbon gas emissions in high-elevation mountain streams and lakes","docAbstract":"Inland waters are an important component of the global carbon cycle through transport, storage, and direct emissions of CO2 and CH4 to the atmosphere. Despite predictions of high physical gas exchange rates due to turbulent flows and ubiquitous supersaturation of CO2—and perhaps also CH4—patterns of gas emissions are essentially undocumented for high mountain ecosystems. Much like other headwater networks around the globe, we found that high-elevation streams in Rocky Mountain National Park, USA, were supersaturated with CO2 during the growing season and were net sources to the atmosphere. CO2concentrations in lakes, on the other hand, tended to be less than atmospheric equilibrium during the open water season. CO2 and CH4 emissions from the aquatic conduit were relatively small compared to many parts of the globe. Irrespective of the physical template for high gas exchange (high k), we found evidence of CO2 source limitation to mountain streams during the growing season, which limits overall CO2emissions. Our results suggest a reduced importance of aquatic ecosystems for carbon cycling in high-elevation landscapes having limited soil development and high CO2 consumption via mineral weathering.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2014JG002861","usgsCitation":"Crawford, J.T., Dornblaser, M.M., Stanley, E.H., Clow, D.W., and Striegl, R.G., 2015, Source limitation of carbon gas emissions in high-elevation mountain streams and lakes: Journal of Geophysical Research G: Biogeosciences, v. 120, no. 5, p. 952-964, https://doi.org/10.1002/2014JG002861.","productDescription":"13 p.","startPage":"952","endPage":"964","ipdsId":"IP-064823","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":472120,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jg002861","text":"Publisher Index Page"},{"id":335831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-26","publicationStatus":"PW","scienceBaseUri":"58ac0e30e4b0ce4410e7d5fe","contributors":{"authors":[{"text":"Crawford, John T. 0000-0003-4440-6945 jtcrawford@usgs.gov","orcid":"https://orcid.org/0000-0003-4440-6945","contributorId":4081,"corporation":false,"usgs":true,"family":"Crawford","given":"John","email":"jtcrawford@usgs.gov","middleInitial":"T.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":669897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dornblaser, Mark M. 0000-0002-6298-3757 mmdornbl@usgs.gov","orcid":"https://orcid.org/0000-0002-6298-3757","contributorId":1636,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","email":"mmdornbl@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":669898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":669899,"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":669900,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":false,"id":669901,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70178933,"text":"70178933 - 2015 - Hydrogeologic framework of the Santa Clara Valley, California","interactions":[],"lastModifiedDate":"2016-12-13T11:57:42","indexId":"70178933","displayToPublicDate":"2015-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeologic framework of the Santa Clara Valley, California","docAbstract":"The hydrologic framework of the Santa Clara Valley in northern California was redefined on the basis of new data and a new hydrologic model. The regional groundwater flow systems can be subdivided into upper-aquifer and lower-aquifer systems that form a convergent flow system within a basin bounded by mountains and hills on three sides and discharge to pumping wells and the southern San Francisco Bay. Faults also control the flow of groundwater within the Santa Clara Valley and subdivide the aquifer system into three subregions.
After decades of development and groundwater depletion that resulted in substantial land subsidence, Santa Clara Valley Water District (SCVWD) and the local water purveyors have refilled the basin through conservation and importation of water for direct use and artificial recharge. The natural flow system has been altered by extensive development with flow paths toward major well fields. Climate has not only affected the cycles of sedimentation during the glacial periods over the past million years, but interannual to interdecadal climate cycles also have affected the supply and demand components of the natural and anthropogenic inflows and outflows of water in the valley. Streamflow has been affected by development of the aquifer system and regulated flow from reservoirs, as well as conjunctive use of groundwater and surface water. Interaquifer flow through water-supply wells screened across multiple aquifers is an important component to the flow of groundwater and recapture of artificial recharge in the Santa Clara Valley. Wellbore flow and depth-dependent chemical and isotopic data indicate that flow into wells from multiple aquifers, as well as capture of artificial recharge by pumping of water-supply wells, predominantly is occurring in the upper 500 ft (152 m) of the aquifer system. Artificial recharge represents about one-half of the inflow of water into the valley for the period 1970–1999. Most subsidence is occurring below 250 ft (76 m), and most pumpage occurs within the upper-aquifer system between 300 and 650 ft (between 91 and 198 m) below land surface.
Overall, the natural quality of most groundwater in the Santa Clara Valley is good. Isotopic data indicate that artificial recharge is occurring throughout the shallower parts of the upper-aquifer system and that recent recharge (less than 50 yr old) occurs throughout most of the basin in the upper-aquifer system, but many of the wells in the center of the basin with deeper well screens do not contain tritium and recent recharge. Age dates indicate that the groundwater in the upper-aquifer system generally is less than 2000 yr old, and groundwater in the lower-aquifer system generally ranges from 16,700 to 39,900 yr old. Depth-dependent sampling indicates that wellbores are the main path for vertical flow between aquifer layers. Isotopic data indicate as much as 60% of water pumped from production wells originated as artificial recharge. Shallow aquifers not only contain more recent recharge but may be more susceptible to anthropogenic and natural contamination, as evidenced by trace occurrences of iron, nitrate, and volatile organic compounds (VOCs) in selected water-supply wells.
Water-resource management issues are centered on sustaining a reliable and good-quality source of water to the residents and industries of the valley. While the basin has been refilled, increased demand owing to growth and droughts could result in renewed storage depletion and the related potential adverse effects of land subsidence and seawater intrusion. The new hydrologic model demonstrates the importance of the aquifer layering, faults, and stream channels in relation to groundwater flow and infiltration of recharge. This model provides a means to analyze water resource issues because it separates the supply and demand components of the inflows and outflows.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01104.1","usgsCitation":"Hanson, R.T., 2015, Hydrogeologic framework of the Santa Clara Valley, California: Geosphere, v. 11, no. 3, p. 606-637, https://doi.org/10.1130/GES01104.1.","productDescription":"32 p.","startPage":"606","endPage":"637","ipdsId":"IP-002253","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":472122,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01104.1","text":"Publisher Index Page"},{"id":332030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Clara Valley","volume":"11","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585116bce4b08138bf1abd5a","contributors":{"authors":[{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655589,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70140267,"text":"sim3320 - 2015 - Geologic map of the Montauk quadrangle, Dent, Texas, and Shannon Counties, Missouri","interactions":[],"lastModifiedDate":"2015-11-24T14:11:13","indexId":"sim3320","displayToPublicDate":"2015-04-30T16:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3320","title":"Geologic map of the Montauk quadrangle, Dent, Texas, and Shannon Counties, Missouri","docAbstract":"The Montauk 7.5-minute quadrangle is located in south-central Missouri within the Salem Plateau region of the Ozark Plateaus physiographic province. About 2,000 feet (ft) of flat-lying to gently dipping lower Paleozoic sedimentary rocks, mostly dolomite, chert, sandstone, and orthoquartzite, overlie Mesoproterozoic igneous basement rocks. Unconsolidated residuum, colluvium, terrace deposits, and alluvium overlie the sedimentary rocks. Numerous karst features, such as caves, springs, and sinkholes, have formed in the carbonate rocks. Many streams are spring fed. The topography is a dissected karst plain with elevations ranging from approximately 830 ft where the Current River exits the middle-eastern edge of the quadrangle to about 1,320 ft in sec. 16, T. 31 N., R. 7 W., in the southwestern part of the quadrangle. The most prominent physiographic features within the quadrangle are the deeply incised valleys of the Current River and its major tributaries located in the center of the map area. The Montauk quadrangle is named for Montauk Springs, a cluster of several springs that resurge in sec. 22, T. 32 N., R. 7 W. These springs supply clean, cold water for the Montauk Fish Hatchery, and the addition of their flow to that of Pigeon Creek produces the headwaters of the Current River, the centerpiece of the Ozark National Scenic Riverways park. Most of the land in the quadrangle is privately owned and used primarily for grazing cattle and horses and growing timber. A smaller portion of the land within the quadrangle is publicly owned by either Montauk State Park or the Ozark National Scenic Riverways (National Park Service). Geologic mapping for this investigation was conducted in 2007 and 2009.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3320","productDescription":"1 Sheet: 52.43 x 30.16 inches; Downloads Directory","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-050817","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":300000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3320.jpg"},{"id":299998,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3320/downloads","text":"Downloads Directory","description":"Downloads Directory","linkHelpText":"Contains: geospatial database. Refer to the Metadata.zip (55 KB), MontaukGeodatabase.zip (10.3 MB), and Shapefiles.zip (1.06 MB) files for more information."},{"id":299996,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3320/"},{"id":299997,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3320/pdf/sim3320.pdf","text":"Report","size":"21 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Texas","county":"Dent County, Shannon County, Texas County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.10937499999999,\n 37.00255267215955\n ],\n [\n -92.10937499999999,\n 37.68382032669382\n ],\n [\n -91.14257812499999,\n 37.68382032669382\n ],\n [\n -91.14257812499999,\n 37.00255267215955\n ],\n [\n -92.10937499999999,\n 37.00255267215955\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Eastern Geology and Paleoclimate Science Center
U.S. Geological Survey
926A National Center
12201 Sunrise Valley Drive
Reston, VA 20192
http://geology.er.usgs.gov/egpsc/