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However, poor constraints on this resuspension process limit our ability to model this phenomenon. Here, we present laboratory experiments measuring threshold shear velocities and emission rates of resuspended ash under different environmental conditions, including relative humidity of 25–75% and simulated rainfall with subsequent drying. Eruption deposits were replicated using ash collected from two major eruptions: the 18 May 1980 eruption of Mount St. Helens and the 1912 eruption of Novarupta, in Alaska's Valley of Ten Thousand Smokes. Samples were conditioned in a laboratory chamber and prepared with bulk deposit densities of 1,300–1,500 kg/m<sup>3</sup>. A control sample of dune sand was included for comparison. The deposits were subjected to different wind speeds using a modified PI‐SWERL® instrument. Under a constant relative humidity of 50% and shear velocities 0.4–0.8 m/s, PM<sub>10</sub><span>&nbsp;</span>emission by resuspension ranged from 10 to &gt;100 mg·m<sup>−2</sup>·s<sup>−1</sup>. Addition of liquid water equivalent to 5 mm of rainfall had little lasting effect on Mount St. Helens wind erosion potential, while the Valley of Ten Thousand Smokes deposits exhibited lower emissions for at least 12 days. The results indicate that particle resuspension due to wind erosion from ash deposits potentially exceeds that of most desert surfaces and approaches some of the highest emissions ever measured.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JD030076","usgsCitation":"Etyemezian, V., Gillies, J., Mastin, L.G., Crawford, A., Hasson, R., Van Eaton, A.R., and Nikolich, G., 2019, Laboratory experiments of volcanic ash resuspension by wind: Journal of Geophysical Research - Atmospheres, v. 124, no. 16, p. 9534-9560, https://doi.org/10.1029/2018JD030076.","productDescription":"27 p.","startPage":"9534","endPage":"9560","ipdsId":"IP-108983","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467337,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jd030076","text":"Publisher Index Page"},{"id":384919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"16","noUsgsAuthors":false,"publicationDate":"2019-08-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Etyemezian, Vicken","contributorId":257030,"corporation":false,"usgs":false,"family":"Etyemezian","given":"Vicken","email":"","affiliations":[{"id":51959,"text":"Desert Research Institute, Las Vegas, Nevada","active":true,"usgs":false}],"preferred":false,"id":813692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gillies, Jack","contributorId":257031,"corporation":false,"usgs":false,"family":"Gillies","given":"Jack","email":"","affiliations":[{"id":51959,"text":"Desert Research Institute, Las Vegas, Nevada","active":true,"usgs":false}],"preferred":false,"id":813693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":813694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crawford, Alice","contributorId":257032,"corporation":false,"usgs":false,"family":"Crawford","given":"Alice","email":"","affiliations":[{"id":51961,"text":"National Oceanic and Atmospheric Administration, College Park, MD","active":true,"usgs":false}],"preferred":false,"id":813695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hasson, Robert","contributorId":257033,"corporation":false,"usgs":false,"family":"Hasson","given":"Robert","email":"","affiliations":[{"id":51963,"text":"U.S. Department of Energy, Environmental Management Consolidated Business Center, Cincinnati, OH","active":true,"usgs":false}],"preferred":false,"id":813696,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":813697,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nikolich, G.","contributorId":257034,"corporation":false,"usgs":false,"family":"Nikolich","given":"G.","email":"","affiliations":[{"id":51959,"text":"Desert Research Institute, Las Vegas, Nevada","active":true,"usgs":false}],"preferred":false,"id":813698,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70204773,"text":"sir20195078 - 2019 - Hydrologic balance, water quality, chemical-mass balance, and geochemical modeling of hyperalkaline ponds at Big Marsh, Chicago, Illinois, 2016–17","interactions":[],"lastModifiedDate":"2019-08-27T09:23:30","indexId":"sir20195078","displayToPublicDate":"2019-08-27T03:55:27","publicationYear":"2019","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":"2019-5078","displayTitle":"Hydrologic Balance, Water Quality, Chemical-Mass Balance, and Geochemical Modeling of Hyperalkaline Ponds at Big Marsh, Chicago, Illinois, 2016–17","title":"Hydrologic balance, water quality, chemical-mass balance, and geochemical modeling of hyperalkaline ponds at Big Marsh, Chicago, Illinois, 2016–17","docAbstract":"<p>Hyperalkaline (pH greater than 12) ponds and groundwater exist at Big Marsh near Lake Calumet, Chicago, Illinois, a site used by the steel industry during the mid-1900s to deposit steel- and iron-making waste, in particular, slag. The hyperalkaline ponds may pose a hazard to human health and the environment. The U.S. Geological Survey (USGS), in cooperation with the Environmental Protection Agency (EPA) and in collaboration with the City of Chicago’s Park District, completed a study to evaluate the hydrologic balance, water quality, and chemical-mass balance of hyperalkaline ponds at Big Marsh and geochemical modeling used to evaluate remediation options for water quality at the site based on data collected in 2016–17.</p><p>Synoptic measurements of surface-water and groundwater elevations were used to determine flow directions and to enable a preliminary estimate of the hydrologic balance for the ponds. Water-quality samples also were collected and analyzed for selected constituents including major anions and cations, nutrients, metals, and trace elements. The results of the water-quality analyses were used to develop a geochemical model to evaluate concentrations, factors affecting pH, and the state of equilibrium between surface waters and atmospheric carbon dioxide. The geochemical model was used to evaluate remediation scenarios using riprap, spillways, or active aeration. The results indicate that active aeration will decrease the pH to near 7.5 in about 8 hours, the fastest rate of the scenarios. Passive aeration, such as riprap or spillways, also can be effective at decreasing the pH in about 45 hours, but spatial obstacles limit their implementation. Seasonal variations in temperature also affect the rate of equilibration, where colder temperatures may have a lower pH than warmer temperatures and may affect the timing and frequency of remediation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195078","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Brownfields Program, and in collaboration with the City of Chicago’s Park District","usgsCitation":"Gahala, A.M., Seal, R.R., and Piatak, N.M., 2019, Hydrologic balance, water quality, chemical-mass balance, and geochemical modeling of hyperalkaline ponds at Big Marsh, Chicago, Illinois, 2016–17: U.S. Geological Survey Scientific Investigations Report 2019–5078, 31 p., https://doi.org/10.3133/sir20195078.","productDescription":"Report: vi, 31 p.; Data Release","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-091826","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":366917,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5078/sir20195078.pdf","text":"SIR 2019–5078","size":"3.66 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5078"},{"id":366918,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VUAQ35","text":"USGS data release ","description":"USGS Data Release","linkHelpText":"Water level data from single-well (slug) tests at a monitoring well in Big Marsh, Chicago, Illinois"},{"id":366916,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5078/coverthb.jpg"}],"country":"United States","state":"Illinois","county":"Cook County","city":"Chicago","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-88.1992,42.1555],[-88.1218,42.1561],[-88.0042,42.1557],[-88.0042,42.157],[-87.886,42.1552],[-87.7659,42.155],[-87.7572,42.1548],[-87.753,42.1502],[-87.7447,42.137],[-87.7399,42.1319],[-87.7393,42.1296],[-87.7351,42.125],[-87.7302,42.1218],[-87.729,42.1213],[-87.7272,42.1194],[-87.7261,42.1153],[-87.72,42.1089],[-87.7079,42.0983],[-87.6976,42.0909],[-87.6916,42.0863],[-87.6885,42.0835],[-87.6861,42.0812],[-87.685,42.0784],[-87.6807,42.0766],[-87.6771,42.0729],[-87.6747,42.0692],[-87.6742,42.066],[-87.6729,42.0651],[-87.6731,42.0587],[-87.6704,42.0446],[-87.6674,42.0428],[-87.6681,42.0396],[-87.6669,42.0359],[-87.6657,42.0336],[-87.6646,42.0295],[-87.6617,42.0213],[-87.6589,42.0122],[-87.6577,42.0095],[-87.6535,42.0049],[-87.6523,42.0021],[-87.6506,41.9994],[-87.6494,41.9962],[-87.6509,41.9871],[-87.6498,41.9826],[-87.6467,41.9807],[-87.6449,41.9789],[-87.6443,41.9779],[-87.6419,41.9765],[-87.6419,41.9756],[-87.642,41.972],[-87.6396,41.9692],[-87.6378,41.9669],[-87.6354,41.9651],[-87.6317,41.9646],[-87.6287,41.9636],[-87.6275,41.9622],[-87.6288,41.9604],[-87.6331,41.9587],[-87.6362,41.9592],[-87.6369,41.9578],[-87.6351,41.9533],[-87.6316,41.9473],[-87.6298,41.945],[-87.6292,41.9432],[-87.6293,41.9396],[-87.6281,41.9373],[-87.6263,41.9359],[-87.627,41.9323],[-87.6258,41.9309],[-87.6253,41.9282],[-87.6254,41.9245],[-87.6231,41.9186],[-87.6207,41.9145],[-87.6195,41.9135],[-87.6177,41.914],[-87.6164,41.913],[-87.6183,41.9117],[-87.6209,41.9099],[-87.6215,41.9077],[-87.621,41.9058],[-87.6204,41.9036],[-87.6186,41.9031],[-87.6161,41.9017],[-87.6149,41.9007],[-87.6131,41.8994],[-87.6108,41.8957],[-87.6096,41.8943],[-87.5985,41.8932],[-87.5973,41.8928],[-87.5973,41.8919],[-87.5985,41.8914],[-87.6066,41.8915],[-87.6084,41.8907],[-87.6103,41.8889],[-87.6097,41.8875],[-87.611,41.8848],[-87.6124,41.8821],[-87.6131,41.878],[-87.6127,41.8698],[-87.6109,41.8689],[-87.609,41.8675],[-87.6041,41.8674],[-87.6029,41.8674],[-87.603,41.8629],[-87.6038,41.8579],[-87.6038,41.8561],[-87.6063,41.8552],[-87.6088,41.8539],[-87.6059,41.8457],[-87.6031,41.8384],[-87.5995,41.832],[-87.5954,41.826],[-87.5894,41.8177],[-87.5841,41.8117],[-87.5811,41.8081],[-87.5793,41.8053],[-87.5782,41.8021],[-87.5764,41.7998],[-87.5758,41.7989],[-87.574,41.7984],[-87.5734,41.798],[-87.5728,41.797],[-87.574,41.7962],[-87.5765,41.7944],[-87.576,41.7921],[-87.5748,41.7898],[-87.5742,41.7884],[-87.5743,41.7871],[-87.5743,41.7857],[-87.5737,41.7848],[-87.5719,41.7839],[-87.5694,41.7834],[-87.5676,41.7824],[-87.5689,41.7815],[-87.5713,41.7816],[-87.5732,41.7812],[-87.5745,41.7803],[-87.5745,41.7794],[-87.5739,41.778],[-87.5727,41.7775],[-87.5714,41.7779],[-87.5677,41.7788],[-87.5665,41.7774],[-87.5659,41.7765],[-87.5611,41.7719],[-87.5606,41.7705],[-87.56,41.7691],[-87.5594,41.7687],[-87.5576,41.7668],[-87.5576,41.765],[-87.5528,41.7604],[-87.5504,41.7599],[-87.5479,41.7594],[-87.5461,41.7594],[-87.5449,41.7598],[-87.5412,41.7593],[-87.54,41.7584],[-87.5394,41.7566],[-87.5407,41.7552],[-87.5407,41.7534],[-87.5395,41.7525],[-87.5377,41.7525],[-87.5359,41.7511],[-87.5334,41.7497],[-87.531,41.7483],[-87.5298,41.7469],[-87.5283,41.736],[-87.5277,41.7337],[-87.5272,41.73],[-87.5257,41.7182],[-87.524,41.7135],[-87.5239,41.6941],[-87.5255,41.5516],[-87.5265,41.4712],[-87.5565,41.4712],[-87.6706,41.4715],[-87.7888,41.4723],[-87.7891,41.4855],[-87.7894,41.5],[-87.7922,41.5377],[-87.7923,41.5595],[-87.9071,41.5578],[-87.9106,41.6445],[-88.0299,41.6428],[-88.0308,41.6868],[-88.0013,41.6874],[-87.9883,41.6877],[-87.9674,41.6879],[-87.9482,41.694],[-87.9438,41.7017],[-87.9139,41.7172],[-87.9142,41.7318],[-87.9178,41.8185],[-87.9188,41.9076],[-87.9175,41.9938],[-88.0342,41.9925],[-88.1473,41.9883],[-88.2634,41.9876],[-88.2632,42.0675],[-88.2632,42.0685],[-88.2379,42.0682],[-88.2382,42.155],[-88.1992,42.1555]]]},\"properties\":{\"name\":\"Cook\",\"state\":\"IL\"}}]}","contact":"<p><a data-mce-href=\"mailto:%20dc_il@usgs.gov\" href=\"mailto:%20dc_il@usgs.gov\">Director</a>, <a data-mce-href=\"https://www.usgs.gov/centers/cm-water\" href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a> <br>U.S. Geological Survey<br>405 North Goodwin <br>Urbana, IL 61801</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Hydrologic Balance</li><li>Water Quality of Hyperalkaline Ponds and Groundwater at Big Marsh</li><li>Chemical-Mass Balance</li><li>Geochemical Modeling</li><li>Implications for Remediation</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. Quality-Assurance and Quality-Control Implications of High-pH Waters</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-08-27","noUsgsAuthors":false,"publicationDate":"2019-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Gahala, Amy M. 0000-0003-2380-2973","orcid":"https://orcid.org/0000-0003-2380-2973","contributorId":213530,"corporation":false,"usgs":true,"family":"Gahala","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seal,, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":141204,"corporation":false,"usgs":true,"family":"Seal,","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":768412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":193010,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":768413,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204430,"text":"sir20195066 - 2019 - Development and evaluation of a record extension technique for estimating discharge at selected stream sites in New Hampshire","interactions":[],"lastModifiedDate":"2019-08-26T11:49:51","indexId":"sir20195066","displayToPublicDate":"2019-08-26T12:00:00","publicationYear":"2019","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":"2019-5066","displayTitle":"Development and Evaluation of a Record Extension Technique for Estimating Discharge at Selected Stream Sites in New Hampshire","title":"Development and evaluation of a record extension technique for estimating discharge at selected stream sites in New Hampshire","docAbstract":"<p>Daily mean discharges are needed for rivers in New Hampshire for the management of instream flows. It is impractical, however, to continuously gage all streams in New Hampshire, and at many sites where information is needed, the discharge data required do not exist. For such sites, techniques for estimating discharge are available. The U.S. Geological Survey, in cooperation with the New Hampshire Department of Environmental Services, developed and evaluated the accuracy of estimated discharge records for six discontinued U.S. Geological Survey streamgages in New Hampshire.</p><p>The estimated records were developed by using the maintenance of variance extension, type 1 (MOVE.1), record extension technique and were generated for periods with concurrent observed records to allow for evaluation. The six discontinued streamgages were on New Hampshire designated rivers throughout the State and had drainage areas ranging from 35.6 to 395 square miles with little to no regulation.</p><p>Estimated records for four of the six streamgages had Nash-Sutcliffe efficiency coefficients greater than 0.85. The other two streamgages had Nash-Sutcliffe efficiency coefficients between 0.45 and 0.60. For the four streamgages with the higher Nash-Sutcliffe efficiency coefficients, more than 35 percent of the estimated record was within 15 percent of the observed record. At the other two streamgages, more than 23 percent of the estimated record was within 15 percent of the observed record.</p><p>At lower discharges (exceeded 80 percent of the time), for four of the six streamgages, more than 40 percent of the estimated record was within 15 percent of the observed record. The site with the lowest Nash-Sutcliffe efficiency coefficient had more than 14 percent of the estimated record at low discharges within 15 percent of the observed record.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195066","collaboration":"Prepared in cooperation with the New Hampshire Department of Environmental Services","usgsCitation":"Olson, S.A., and Meyerhofer, A.J., 2019, Development and evaluation of a record extension technique for estimating discharge at selected stream sites in New Hampshire: U.S. Geological Survey Scientific Investigations Report 2019–5066, 23 p., https://doi.org/10.3133/sir20195066.","productDescription":"iv, 23 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-102986","costCenters":[{"id":466,"text":"New England Water Science 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Hampshire\",\"nation\":\"USA  \"}}]}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, <a href=\"https://newengland.water.usgs.gov\" data-mce-href=\"https://newengland.water.usgs.gov\">New England Water Science Center </a><br>U.S. Geological Survey<br>331 Commerce Way, Suite 2<br>Pembroke, NH 03275</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Selection of Study and Reference Streamgages</li><li>Generation of Estimated Records From the MOVE.1 Record Extension Technique</li><li>Error Analysis of Estimated Record</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Plots of Discharge Measurements at Study Streamgages and Concurrent Daily Mean Discharge at Reference Streamgages</li><li>Appendix 2. Flow-Duration Curves of the Observed and Estimated Daily Mean Discharges at Study Streamgages</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2019-08-26","noUsgsAuthors":false,"publicationDate":"2019-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Olson, Scott A. 0000-0002-1064-2125","orcid":"https://orcid.org/0000-0002-1064-2125","contributorId":210173,"corporation":false,"usgs":true,"family":"Olson","given":"Scott A.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyerhofer, Abraham J. 0000-0001-7358-5714","orcid":"https://orcid.org/0000-0001-7358-5714","contributorId":217481,"corporation":false,"usgs":true,"family":"Meyerhofer","given":"Abraham","email":"","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766880,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70223496,"text":"70223496 - 2019 - Invertebrate prey contributions to juvenile Coho Salmon diet from riparian habitats along three Alaska streams: Implications for environmental change","interactions":[],"lastModifiedDate":"2021-08-31T13:39:20.889311","indexId":"70223496","displayToPublicDate":"2019-08-26T08:30:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Invertebrate prey contributions to juvenile Coho Salmon diet from riparian habitats along three Alaska streams: Implications for environmental change","docAbstract":"<p><span>Stream fish rely on a mix of terrestrial and aquatic prey sources. While the importance of terrestrial invertebrates as a food source for stream fish is well documented, the role of aquatic insects that emerge from the stream as winged adult insects (aquatic winged adults) and return to the stream as prey is less understood. In this study we determined the proportion of total diet for stream-rearing juvenile Coho Salmon (</span><i>Oncorhynchus kisutch)</i><span>&nbsp;that is derived from terrestrial and aquatic winged adult invertebrates which enter the stream from riparian habitats and consider how those cross-ecosystem prey contributions vary based on riparian habitat type. Study reaches were identified in three streams within the Kenai River watershed of Alaska that were representative of habitats found throughout the region and riparian vegetation was classified into grass/sedge, shrub and tree types using LiDAR. Juvenile Coho Salmon stomach contents were sampled seasonally in study reaches over a two-year period and ingested invertebrates were identified by taxa, life stage and origin. Our results showed that aquatic winged adult prey contributions to juvenile salmon diet were significantly lower in the grass/sedge study reach, and cross-ecosystem invertebrate prey represented a significantly higher proportion of juvenile salmon diet in the tree study reach. Invertebrate prey in the grass/sedge reach were composed primarily of the larval life stage of aquatic winged adults. These results suggest that change in riparian vegetation from tree/shrub to grass/sedge along Kenai streams as projected by regional climate change models, or that results from anthropogenic modification, will likely lead to lower availability of cross-ecosystem prey for stream fish. Management of riparian buffers along streams to preserve or increase occurrence of trees and shrubs is likely to help mitigate impacts of those possible changes.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2019.1642243","usgsCitation":"Grunblatt, J., Meyer, B., and Wipfli, M.S., 2019, Invertebrate prey contributions to juvenile Coho Salmon diet from riparian habitats along three Alaska streams: Implications for environmental change: Journal of Freshwater Ecology, v. 34, no. 1, p. 617-631, https://doi.org/10.1080/02705060.2019.1642243.","productDescription":"16 p.","startPage":"617","endPage":"631","ipdsId":"IP-103789","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467339,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2019.1642243","text":"Publisher Index Page"},{"id":388688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kenai watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -152.369384765625,\n              59.77852198502987\n            ],\n            [\n              -148.919677734375,\n              59.77852198502987\n            ],\n            [\n              -148.919677734375,\n              61.312451574838214\n            ],\n            [\n              -152.369384765625,\n              61.312451574838214\n            ],\n            [\n              -152.369384765625,\n              59.77852198502987\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Grunblatt, Jess","contributorId":264907,"corporation":false,"usgs":false,"family":"Grunblatt","given":"Jess","affiliations":[{"id":54579,"text":"uak","active":true,"usgs":false}],"preferred":false,"id":822179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Benjamin E.","contributorId":264908,"corporation":false,"usgs":false,"family":"Meyer","given":"Benjamin E.","affiliations":[{"id":54579,"text":"uak","active":true,"usgs":false}],"preferred":false,"id":822180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":822178,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204839,"text":"sir20195067 - 2019 - Flood-inundation maps for a 23-mile reach of the Medina River at Bandera, Texas, 2018","interactions":[],"lastModifiedDate":"2019-08-26T05:37:05","indexId":"sir20195067","displayToPublicDate":"2019-08-26T05:36:50","publicationYear":"2019","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":"2019-5067","displayTitle":"Flood-Inundation Maps for a 23-Mile Reach of the Medina River at Bandera, Texas, 2018","title":"Flood-inundation maps for a 23-mile reach of the Medina River at Bandera, Texas, 2018","docAbstract":"<p>In 2018, the U.S. Geological Survey (USGS), in cooperation with the Bandera County River Authority and Groundwater District and the Texas Water Development Board, studied floods through the period of record to create a library of flood-inundation maps for the Medina River at Bandera, Texas. Digital flood-inundation maps for a 23-mile reach of the Medina River at and near Bandera, from the confluence with Winans Creek to English Crossing Road, were developed. The flood-inundation maps depict estimates of the areal extent and depth of flooding corresponding to a range of different gage heights (gage height is commonly referred to as “stage,” or the water-surface elevation at a streamflow-gaging station) at USGS streamflow-gaging station 08178880 Medina River at Bandera, Tex. (hereinafter referred to as the “Bandera station”). Water-surface profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The stage-discharge (streamflow) relation effective in 2018 was used to calibrate the model, and stages from four recent flood events were used to independently validate the model. The calibrated hydraulic model was then used to compute 29 water-surface profiles for stages at 1-foot (ft) increments referenced to the station datum and ranging from 10 ft (near bankfull) to 38 ft, which exceeds the major flood stage of the National Weather Service Advanced Hydrologic Prediction Service of 24 ft. The simulated water-surface profiles were then combined with a geographic information system digital elevation model&nbsp;(derived from light detection and ranging data having a 0.4-ft vertical accuracy and 1.6-ft horizontal resolution) to delineate the area flooded for stages ranging from 10 to 38 ft.</p><p>The digital flood-inundation maps are delivered through the USGS Flood Inundation Mapper application that presents map libraries and provides detailed information on flood-inundation extents and stages for modeled sites. The flood-inundation maps developed in this study, in conjunction with the real-time stage data from the Bandera station, are intended to help guide the public in taking individual safety precautions and provide emergency management personnel with a tool to efficiently manage emergency flood operations and post-flood recovery efforts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195067","collaboration":"Prepared in cooperation with the Bandera County River Authority and Groundwater District and the Texas Water Development Board","usgsCitation":"Choi, N., and Engel, F.L., 2019, Flood-inundation maps for a 23-mile reach of the Medina River at Bandera, Texas, 2018: U.S. Geological Survey Scientific Investigations Report 2019–5067, 15 p., https://doi.org/10.3133/sir20195067.","productDescription":"Report: viii, 15 p.; Fact Sheet: 2 p.; Data Release","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-104084","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":366755,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://doi.org/10.3133/fs20193043","text":"FS 2019–3043","size":"895 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3043","linkHelpText":" Flood Warning Toolset for the Medina River in Bandera County, Texas"},{"id":366756,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WYD6LS","text":"USGS data release ","linkHelpText":"Geospatial and survey data for flood-inundation maps in a 23-mile reach of the Medina River at Bandera, Texas, 2018"},{"id":366666,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5067/coverthb.jpg"},{"id":366667,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5067/sir20195067.pdf","text":"Report","size":"3.12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5067"}],"contact":"<p><a data-mce-href=\"mailto:%20dc_tx@usgs.gov\" href=\"mailto:%20dc_tx@usgs.gov\">Director</a>, <a data-mce-href=\"https://www.usgs.gov/centers/tx-water\" href=\"https://www.usgs.gov/centers/tx-water\">Texas Water Science Center</a><br>U.S. Geological Survey<br>1505 Ferguson Lane <br>Austin, Texas 78754–4501  </p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Creation of Flood-Inundation Map Library</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-08-26","noUsgsAuthors":false,"publicationDate":"2019-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Choi, Namjeong 0000-0002-9526-0504","orcid":"https://orcid.org/0000-0002-9526-0504","contributorId":218207,"corporation":false,"usgs":true,"family":"Choi","given":"Namjeong","email":"","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engel, Frank L. 0000-0002-4253-2625","orcid":"https://orcid.org/0000-0002-4253-2625","contributorId":218208,"corporation":false,"usgs":true,"family":"Engel","given":"Frank","middleInitial":"L.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768692,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204706,"text":"fs20193043 - 2019 - Flood warning toolset for the Medina River in Bandera County, Texas","interactions":[],"lastModifiedDate":"2019-08-26T10:00:48","indexId":"fs20193043","displayToPublicDate":"2019-08-26T05:35:59","publicationYear":"2019","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":"2019-3043","displayTitle":"Flood Warning Toolset for the Medina River in Bandera County, Texas","title":"Flood warning toolset for the Medina River in Bandera County, Texas","docAbstract":"<h1 class=\"BodyText\">Overview</h1><p class=\"BodyText\">Floods are the most common natural disaster in the United States. The Medina River in Bandera County, Texas, is in the Edwards Plateau, where high-intensity rain rates and steep terrain frequently contribute to severe flash flooding capable of causing loss of life and property. For example, the July 5, 2002, flood claimed a total of 12 lives in the central Texas area. The estimated peak discharge during this flood at U.S. Geological Survey (USGS) streamflow-gaging station 08178880 Medina River at Bandera, Tex., was 159,000 cubic feet per second (corresponding to a stage or gage height of 38.91 feet), causing significant flooding in Bandera near Mud Creek and farther downstream.</p><p class=\"BodyText\">In 2018, the USGS, in cooperation with the Bandera County River Authority and Groundwater District and the Texas Water Development Board, developed a flood early-warning toolset to enhance the communication of flood risk and provide emergency management with additional information to improve flood response and mitigation. This toolset consists of a continuous streamflow-gage monitoring network, a well-calibrated hydraulic model of the Medina River, and a flood-inundation mapper application for the study area. A library of flood-inundation maps tied to the National Weather Service river stage forecast capability is included with the toolset.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193043","usgsCitation":"Engel, F.L., and Choi, N., 2019, Flood warning toolset for the Medina River in Bandera County, Texas: U.S. Geological Survey Fact Sheet 2019–3043, 2 p., https://doi.org/10.3133/fs20193043. ","productDescription":"Report: 2 p.; Companion Files","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-110193","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":366754,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://doi.org/10.3133/sir20195067","text":"SIR 2019–5067","size":"3.12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5067","linkHelpText":" Flood-Inundation Maps for a 23-Mile Reach of the Medina River at Bandera, Texas, 2018"},{"id":366753,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3043/fs20193043.pdf","text":"Report","size":"895 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3043"},{"id":366752,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3043/coverthb.jpg"}],"country":"United States","state":"Texas","county":"Bandera County ","otherGeospatial":"Medina River","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-98.9253,29.7842],[-98.7869,29.7168],[-98.8056,29.6968],[-98.9213,29.5665],[-98.9245,29.562],[-98.9282,29.5593],[-98.9318,29.5588],[-98.9429,29.5585],[-98.9513,29.5581],[-98.9607,29.5578],[-98.9633,29.5578],[-98.9676,29.5546],[-98.9712,29.5533],[-98.9765,29.5547],[-98.978,29.5556],[-98.9811,29.5589],[-98.9832,29.5625],[-98.9837,29.5671],[-98.9836,29.5717],[-98.9819,29.5804],[-98.9818,29.5909],[-98.9801,29.5983],[-98.9779,29.606],[-98.9789,29.6102],[-98.9794,29.6129],[-98.982,29.6148],[-98.9909,29.6185],[-99.0103,29.6187],[-99.4132,29.6253],[-99.6033,29.6257],[-99.6031,29.9068],[-99.2839,29.905],[-99.1766,29.8946],[-98.9253,29.7842]]]},\"properties\":{\"name\":\"Bandera\",\"state\":\"TX\"}}]}","contact":"<p><a href=\"mailto:%20dc_tx@usgs.gov\" data-mce-href=\"mailto:%20dc_tx@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/tx-water\" data-mce-href=\"https://www.usgs.gov/centers/tx-water\">Texas Water Science Center</a><br>U.S. Geological Survey<br>1505 Ferguson Lane <br>Austin, Texas 78754–4501</p>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-08-26","noUsgsAuthors":false,"publicationDate":"2019-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Engel, Frank L. 0000-0002-4253-2625","orcid":"https://orcid.org/0000-0002-4253-2625","contributorId":218208,"corporation":false,"usgs":true,"family":"Engel","given":"Frank","middleInitial":"L.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choi, Namjeong 0000-0002-9526-0504","orcid":"https://orcid.org/0000-0002-9526-0504","contributorId":218207,"corporation":false,"usgs":true,"family":"Choi","given":"Namjeong","email":"","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768807,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203647,"text":"sir20195041 - 2019 - The hydrologic benefits of wetland and prairie restoration in western Minnesota—Lessons learned at the Glacial Ridge National Wildlife Refuge, 2002–15","interactions":[],"lastModifiedDate":"2019-08-23T10:13:47","indexId":"sir20195041","displayToPublicDate":"2019-08-22T16:20:03","publicationYear":"2019","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":"2019-5041","displayTitle":"The Hydrologic Benefits of Wetland and Prairie Restoration in Western Minnesota—Lessons Learned at the Glacial Ridge National Wildlife Refuge, 2002–15","title":"The hydrologic benefits of wetland and prairie restoration in western Minnesota—Lessons learned at the Glacial Ridge National Wildlife Refuge, 2002–15","docAbstract":"<p>Conversion of agricultural lands to wetlands and native prairie is widely viewed as beneficial because it can restore natural ecological and hydrologic functions. Some of these functions, such as reduced peak flows and improved water quality, are often attributed to restoration; however, such benefits have not been quantified at a small scale. To inform future restoration efforts, especially in northern prairie settings, the U.S. Geological Survey, in cooperation with the Minnesota Environment and Natural Resources Trust Fund, the U.S. Fish and Wildlife Service, and the Red Lake Watershed District, compared the hydrology of the Nation’s largest wetland and prairie restoration, Glacial Ridge National Wildlife Refuge, before and after restoration.</p><p>Wetland and prairie restorations resulted in substantial changes in flows through the hydrologic cycle, in reduction of overland runoff and ditch flow during storms, and in improvements in water quality. Wetland and prairie restorations within the six basins characterized in this study resulted in a 14-percent decrease of cropland, a 6-percent increase of wetlands, and a 19-percent increase of native prairie between 2002 and 2015. During the same period, runoff rate decreased 33 percent (as a proportion of precipitation) and ditch flow rate decreased by 23 percent. Areal groundwater recharge rate increased from 30 to 35 percent (16 percent relative change in flow rate). Base flow as a proportion of total ditch flow increased from 25 to 35 percent (a 40-percent relative change). Peak ditch flow from storms decreased, ditch-flow recessions lengthened, and base flow from groundwater discharge increased, though only a small amount in some basins. These changes reduce the amount of ditch water leaving the study area, reducing flows that contribute to downstream flooding. Median surficial groundwater and ditch-water nitrate concentrations decreased by 79 and 53 percent, respectively. Median ditch-water suspended-sediment concentration decreased by 64 percent.</p><p>Neither the density of restorations nor the beneficial changes in hydrology were evenly distributed in the study area. The amount of hydrologic benefits within an individual ditch basin did not relate directly with the amount of restoration in that basin; however, the landscape characteristics that related most closely with hydrologic benefits were the area of a basin underlain by a surficial aquifer and the area of drained wetlands (indicating the potential for wetland restoration). In western Minnesota, the basins underlain by surficial aquifers that contain large areas of drained wetlands are the uplands of the Alexandria Moraine Complex and the beaches of glacial Lake Agassiz on the eastern side of the western one-third of Minnesota, north of Wilmar, Minnesota. These findings provide resource managers with information that can help focus restoration resources in areas where the greatest hydrologic benefits can be realized.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195041","collaboration":"Prepared in cooperation with the Minnesota Environment and Natural Resources Trust Fund, the U.S. Fish and Wildlife Service, and the Red Lake Watershed District","usgsCitation":"Cowdery, T.K., Christenson, C.A., and Ziegeweid, J.R., 2019, The hydrologic benefits of wetland and prairie restoration in western Minnesota—Lessons learned at the Glacial Ridge National Wildlife Refuge, 2002–15: U.S. Geological Survey Scientific Investigations Report 2019–5041, 81 p., https://doi.org/10.3133/sir20195041.","productDescription":"Report: ix, 81 p.; Data Release","numberOfPages":"96","onlineOnly":"Y","ipdsId":"IP-093837","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":366811,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5041/sir20195041.pdf","text":"Report","size":"7.00 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5041"},{"id":366812,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QRD7A3","text":"USGS data release ","linkHelpText":"A Soil-Water-Balance model and precipitation data used for HEC/HMS modelling at the Glacial Ridge National Wildlife Refuge area, northwestern Minnesota, 2002–15"},{"id":366810,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5041/coverthb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Glacial Ridge 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              -96.52107238769531,\n              47.584399766577576\n            ],\n            [\n              -96.12007141113281,\n              47.584399766577576\n            ],\n            [\n              -96.12007141113281,\n              47.823298103444806\n            ],\n            [\n              -96.52107238769531,\n              47.823298103444806\n            ],\n            [\n              -96.52107238769531,\n              47.584399766577576\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/umid-water\" href=\"https://www.usgs.gov/centers/umid-water\">Upper Midwest Water Science Center</a> <br>U.S. Geological Survey<br>2280 Woodale Drive <br>Mounds View, MN </p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>General Hydrology of the Glacial Ridge Study Area</li><li>Benefits of Wetland and Prairie Restorations</li><li>Hydrologic Benefits of Wetland and Prairie Restoration and Implications for Western Minnesota</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Gridded Soil Survey Geographic Database (gSSURGO) Parent Group-Material Units</li><li>Appendix 2. Site Names, Numbers, and Types</li><li>Appendix 3. Water Balance</li><li>Reference Cited</li><li>Appendix 4. Hydrologic Engineering Center’s Hydrologic Modeling System (HEC–HMS) Model Inputs</li><li>Appendix 5. Blank Sample Analysis</li><li>Appendix 6. Groundwater and Surface-Water Annual Balances</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-08-22","noUsgsAuthors":false,"publicationDate":"2019-08-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Cowdery, Timothy K. 0000-0001-9402-6575","orcid":"https://orcid.org/0000-0001-9402-6575","contributorId":215921,"corporation":false,"usgs":true,"family":"Cowdery","given":"Timothy","email":"","middleInitial":"K.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christenson, Catherine A. 0000-0001-5944-2186","orcid":"https://orcid.org/0000-0001-5944-2186","contributorId":215922,"corporation":false,"usgs":true,"family":"Christenson","given":"Catherine A.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziegeweid, Jeffrey R. 0000-0001-7797-3044 jrziege@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-3044","contributorId":4166,"corporation":false,"usgs":true,"family":"Ziegeweid","given":"Jeffrey","email":"jrziege@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763408,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70205127,"text":"70205127 - 2019 - An evaluation of sedatives for use in transport of juvenile endangered fishes in plastic bags","interactions":[],"lastModifiedDate":"2020-01-03T09:54:00","indexId":"70205127","displayToPublicDate":"2019-08-22T15:51:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of sedatives for use in transport of juvenile endangered fishes in plastic bags","docAbstract":"<p><span>Trucks and aircraft typically transport rare or endangered fishes in large unsealed tanks containing large volumes of water (typically hundreds of liters) during conservation efforts. Ornamental fishes, however, are commonly sent by mail in small sealed plastic bags filled with oxygen, minimal water, and a small amount of sedative to reduce weight and overall shipping costs. Our goal was to evaluate if these \"minimal water\" methods used for shipping ornamental fishes could also be used to safely transport endangered Humpback Chub,&nbsp;</span><i>Gila cypha</i><span>, into remote locations within Grand Canyon on foot to eliminate helicopter transportation costs associated with conservation actions. In the laboratory, 20 (mean,&nbsp;</span><i>M</i><span>&nbsp;= 193.9 g of fish/L,&nbsp;</span><i>SD</i><span>&nbsp;= 37.8) juvenile Bonytail,&nbsp;</span><i>Gila elegans</i><span>, or Humpback Chub were placed in plastic bags containing 1 liter of water and pure oxygen for 4, 8, and 12 hours. Treatments contained either no sedative or one of three sedatives: AquaCalm (metomidate hydrochloride), Tricaine-S (tricaine methanesulfonate or MS-222), or Aqui-S 20E (eugenol) to evaluate the effectiveness of minimal water methods for use in fish transport. Aqui-S 20E and the control without sedatives exhibited the highest survival (logistic regression, Aqui-S 20E,&nbsp;</span><i>P</i><span>&nbsp;= 0.994, 95% CI [0.978, 0.998]; Control,&nbsp;</span><i>P</i><span>&nbsp;= 0.995, 95% CI [0.981, 0.998]), followed by Tricaine-S (</span><i>P</i><span>&nbsp;= 0.933, 95% CI [0.902, 0.955]), and AquaCalm (</span><i>P</i><span>&nbsp;= 0.355, 95% CI [0.307, 0.406]). We also conducted a field trial in which we placed 240 juvenile Humpback Chub in shipping bags (</span><i>n</i><span>&nbsp;= 20 fish/bag/1L of water;&nbsp;</span><i>M</i><span>&nbsp;= 143.2 g of fish/L,&nbsp;</span><i>SD</i><span>= 9.72) with no sedative or 10.0 mg/L of Aqui-S 20E and transported them by vehicle and on foot. No fish perished during transport, indicating these minimal water methods can be used to safely, and at little expense, transport endangered Humpback Chub into remote locations.</span></p>","language":"English","publisher":"US Fish and Wildlife Service","doi":"10.3996/032019-JFWM-016","usgsCitation":"Tennant, L.A., Vaage, B., and Ward, D.L., 2019, An evaluation of sedatives for use in transport of juvenile endangered fishes in plastic bags: Journal of Fish and Wildlife Management, v. 10, no. 2, p. 532-543, https://doi.org/10.3996/032019-JFWM-016.","productDescription":"12 p.","startPage":"532","endPage":"543","ipdsId":"IP-077791","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":467345,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/032019-jfwm-016","text":"Publisher Index Page"},{"id":367196,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Tennant, Laura A. 0000-0003-0062-7287 ltennant@usgs.gov","orcid":"https://orcid.org/0000-0003-0062-7287","contributorId":5984,"corporation":false,"usgs":true,"family":"Tennant","given":"Laura","email":"ltennant@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vaage, Ben M. 0000-0003-1730-4302","orcid":"https://orcid.org/0000-0003-1730-4302","contributorId":218746,"corporation":false,"usgs":false,"family":"Vaage","given":"Ben M.","affiliations":[{"id":39898,"text":"Fish, Wildlife, and Conservation Biology, Colorado State University, 3106 Rampart Rd., Ft. Collins, CO 80523","active":true,"usgs":false}],"preferred":false,"id":770134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ward, David L. 0000-0002-3355-0637 dlward@usgs.gov","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":3879,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dlward@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770298,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70205514,"text":"70205514 - 2019 - Thermal variability drives synchronicity of an aquatic insect resource pulse","interactions":[],"lastModifiedDate":"2021-04-27T11:43:12.246964","indexId":"70205514","displayToPublicDate":"2019-08-22T11:09:27","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Thermal variability drives synchronicity of an aquatic insect resource pulse","docAbstract":"<p><span>Spatial heterogeneity in environmental conditions can prolong food availability by desynchronizing the timing of ephemeral, high‐magnitude resource pulses. Spatial patterns of water temperature are highly variable among rivers as determined by both natural and anthropogenic features, but the influence of this variability on freshwater resource pulse phenology is poorly documented. We quantified water temperature and emergence phenology of an aquatic insect (salmonfly,&nbsp;</span><i>Pteronarcys californica</i><span>) resource pulse in two rivers characterized by differing catchment topography and human impact. Along both rivers, salmonfly emergence occurred earlier where spring temperatures were warmer. Emergence events were brief (4–8&nbsp;d) at sites in the more human‐impacted river, but occurred asynchronously along the entire river, lasting 27&nbsp;d in total. In contrast, emergence events were more prolonged (6–11&nbsp;d) at sites on the more natural and topographically complex river, but occurred synchronously along the entire river, lasting 13&nbsp;d in total. These scale‐specific differences in subsidy duration could have opposing consequences for salmonfly consumers depending on their mobility and foraging habits. Asynchronous emergence at a large scale is potentially most important for mobile consumers like birds and fish that can migrate to feed on aquatic insects and track resource waves across a landscape, whereas prolonged emergence duration at a smaller scale may be most important for immobile or opportunistic consumers like spiders and ants. Relating environmental heterogeneity and resource pulse phenology across a gradient of human impact and at multiple spatial scales is needed for a better understanding of how food availability, aquatic–terrestrial linkages, and consumer–resource dynamics may change with climate variability and increasing human activity in the future.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2852","usgsCitation":"Anderson, H., Alberson, L.K., and Walters, D., 2019, Thermal variability drives synchronicity of an aquatic insect resource pulse: Ecosphere, v. 10, no. 8, e02852, 11 p., https://doi.org/10.1002/ecs2.2852.","productDescription":"e02852, 11 p.","ipdsId":"IP-096935","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":460305,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2852","text":"Publisher Index Page"},{"id":367602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Gallatin River Basin, Madison River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.01934814453125,\n              44.51805165000559\n            ],\n            [\n              -111.12396240234375,\n              44.51805165000559\n            ],\n            [\n              -111.12396240234375,\n              45.51789504294005\n            ],\n            [\n              -112.01934814453125,\n              45.51789504294005\n            ],\n            [\n              -112.01934814453125,\n              44.51805165000559\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Heidi E.","contributorId":218802,"corporation":false,"usgs":false,"family":"Anderson","given":"Heidi E.","affiliations":[{"id":39916,"text":"Montana State University, Bozeman, Montana","active":true,"usgs":false}],"preferred":false,"id":771469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alberson, Lindsey K.","contributorId":219168,"corporation":false,"usgs":false,"family":"Alberson","given":"Lindsey","email":"","middleInitial":"K.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":771470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, David 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":147135,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":771468,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70215267,"text":"70215267 - 2019 - Paleoclimate of the subtropical Andes during the latest Miocene, Lauca Basin, Chile","interactions":[],"lastModifiedDate":"2020-10-14T14:04:19.848137","indexId":"70215267","displayToPublicDate":"2019-08-22T08:57:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Paleoclimate of the subtropical Andes during the latest Miocene, Lauca Basin, Chile","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0045\">Uplift of the Andean Cordillera during the Miocene and Pliocene produced large-scale changes in regional atmospheric circulation that impacted local ecosystems. The Lauca Basin (northern Chilean Altiplano) contains variably fluvial and lacustrine sedimentary sequences spanning the interval from 8.7 to 2.3 Ma. Field samples were collected from paleo-lacustrine sediments in the basin. Sediments were dated using detrital zircon geochronology on volcanic tuffs, yielding an age range between ~5.57 and 5.44 Ma. These new age constraints provided an opportunity to evaluate changes in the Lauca Basin ecosystem across this dynamic Miocene-Pliocene transition. We employed multiple proxies (lithofacies analysis, diatoms, pollen, and oxygen stable isotopes of authigenic carbonates) to interpret ancient lacustrine and terrestrial paleoenvironments. Alternations among mudstone, carbonate, and evaporitic facies indicate lake-level variability through time. The diatom assemblage is characterized by meso- to hypersaline and alkaline-tolerant taxa typical of shallow lakes. The δ<sup>18</sup>O values ranged from −8.96 to −2.22‰ indicating fluctuations in water balance. Pollen taxa in the outcrop are typical of a transitional stage between seasonal cloud forest and open grassland. Together, these proxies indicate that the Lauca paleolake sediments were deposited under a wetter-than-modern climate with high temporal variability. Our results refine previous studies in the Lauca Basin and are consistent with other regional studies suggesting that the South American summer monsoon at the Miocene-Pliocene transition was more intense than it is at present.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2019.109336","usgsCitation":"Feitl, M., Kern, A., Jones, A., Fritz, S., Baker, P.E., R.M., J., Salenbien, W., and Willard, D.A., 2019, Paleoclimate of the subtropical Andes during the latest Miocene, Lauca Basin, Chile: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 534, 109336, 14 p., https://doi.org/10.1016/j.palaeo.2019.109336.","productDescription":"109336, 14 p.","ipdsId":"IP-105895","costCenters":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true}],"links":[{"id":467348,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.palaeo.2019.109336","text":"Publisher Index Page"},{"id":379358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.685546875,\n              -29.036960648558257\n            ],\n            [\n              -66.3134765625,\n              -29.036960648558257\n            ],\n            [\n              -66.3134765625,\n              -16.93070509876553\n            ],\n            [\n              -72.685546875,\n              -16.93070509876553\n            ],\n            [\n              -72.685546875,\n              -29.036960648558257\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"534","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Feitl, Melina","contributorId":243038,"corporation":false,"usgs":false,"family":"Feitl","given":"Melina","email":"","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":801399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kern, Andrea","contributorId":243039,"corporation":false,"usgs":false,"family":"Kern","given":"Andrea","affiliations":[{"id":48623,"text":"University of Sao Paulo","active":true,"usgs":false}],"preferred":false,"id":801400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Amanda","contributorId":243040,"corporation":false,"usgs":false,"family":"Jones","given":"Amanda","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":801401,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fritz, Sherilyn","contributorId":205233,"corporation":false,"usgs":false,"family":"Fritz","given":"Sherilyn","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":801402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baker, Paul E.","contributorId":176810,"corporation":false,"usgs":false,"family":"Baker","given":"Paul","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":801403,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"R.M., Joeckel .","contributorId":243041,"corporation":false,"usgs":false,"family":"R.M.","given":"Joeckel","email":"","middleInitial":".","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":801404,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Salenbien, Wout","contributorId":243042,"corporation":false,"usgs":false,"family":"Salenbien","given":"Wout","email":"","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":801405,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Willard, Debra A. 0000-0003-4878-0942 dwillard@usgs.gov","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":2076,"corporation":false,"usgs":true,"family":"Willard","given":"Debra","email":"dwillard@usgs.gov","middleInitial":"A.","affiliations":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":801406,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70206869,"text":"70206869 - 2019 - Mechanisms of methane hydrate formation in geological systems","interactions":[],"lastModifiedDate":"2020-02-06T11:01:38","indexId":"70206869","displayToPublicDate":"2019-08-22T07:02:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Mechanisms of methane hydrate formation in geological systems","docAbstract":"Natural gas hydrates are ice-like mixtures of gas (mostly methane) and water that are widely found in sediments along the world’s continental margins and within and beneath permafrost in a near-surface depth interval where the pressure is sufficiently high and temperature sufficiently low for gas hydrate to be stable. Beneath this interval, gas hydrate is not stable and free gas may be present. This paper reviews the multiple quantitative models that have proposed to describe the genesis of gas hydrate in geological systems. We emphasize the importance of coupling multi-phase flow (vapor and liquid) and multicomponent reactive transport with geological history to describe the dynamical processes of gas hydrate formation and evolution in geological systems. By understanding the generation and evolution of gas hydrate through time, we will better understand their role in the carbon cycle, their potential to contribute to climate change and geohazards, and how to design optimal strategies for the environmentally safe production of gas from hydrate reservoirs.","language":"English","publisher":"AGU","doi":"10.1029/2018RG000638","usgsCitation":"Kehua You, Flemings, P.B., Alberto Malinverno, Collett, T., and Darnell, K., 2019, Mechanisms of methane hydrate formation in geological systems: Reviews of Geophysics, v. 57, no. 4, p. 1146-1196, https://doi.org/10.1029/2018RG000638.","productDescription":"51 p.","startPage":"1146","endPage":"1196","ipdsId":"IP-106750","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":467350,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018rg000638","text":"Publisher Index Page"},{"id":369608,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Kehua You","contributorId":220889,"corporation":false,"usgs":false,"family":"Kehua You","affiliations":[{"id":29861,"text":"The University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":776108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flemings, Peter B.","contributorId":220890,"corporation":false,"usgs":false,"family":"Flemings","given":"Peter","email":"","middleInitial":"B.","affiliations":[{"id":29861,"text":"The University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":776109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alberto Malinverno","contributorId":220891,"corporation":false,"usgs":false,"family":"Alberto Malinverno","affiliations":[{"id":40291,"text":"Lamont-Doherty Earth Observatory of Columbia University","active":true,"usgs":false}],"preferred":false,"id":776110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collett, Timothy 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":220806,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":776107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Darnell, Kristopher","contributorId":220892,"corporation":false,"usgs":false,"family":"Darnell","given":"Kristopher","email":"","affiliations":[{"id":40292,"text":"Slingshot Aerospace","active":true,"usgs":false}],"preferred":false,"id":776111,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70205456,"text":"70205456 - 2019 - Small ponds in headwater catchments are a dominant influence on regional nutrient and sediment budgets","interactions":[],"lastModifiedDate":"2020-09-01T13:56:45.587579","indexId":"70205456","displayToPublicDate":"2019-08-21T18:33:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Small ponds in headwater catchments are a dominant influence on regional nutrient and sediment budgets","docAbstract":"<p><span>Small ponds—farm ponds, detention ponds, or impoundments below 0.01 km</span><sup>2</sup><span>—serve important human needs throughout most large river basins. Yet the role of small ponds in regional nutrient and sediment budgets is essentially unknown, currently making it impossible to evaluate their management potential to achieve water quality objectives. Here we used new hydrography data sets and found that small ponds, depending on their spatial position within both their local catchments and the larger river network, can dominate the retention of nitrogen, phosphorus, and sediment compared to rivers, lakes, and reservoirs. Over 300,000 small ponds are collectively responsible for 34%, 69%, and 12% of the mean annual retention of nitrogen, phosphorus, and sediment in the Northeastern United States, respectively, with a dominant influence in headwater catchments (54%, 85%, and 50%, respectively). Small ponds play a critical role among the many aquatic features in long‐term nutrient and sediment loading to downstream waters.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL083937","usgsCitation":"Schmadel, N., Harvey, J., Schwarz, G., Alexander, R., Gomez-Velez, J., Scott, D., and Ator, S., 2019, Small ponds in headwater catchments are a dominant influence on regional nutrient and sediment budgets: Geophysical Research Letters, v. 46, no. 16, p. 9669-9677, https://doi.org/10.1029/2019GL083937.","productDescription":"9 p.","startPage":"9669","endPage":"9677","ipdsId":"IP-109711","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction 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,{"id":70206501,"text":"70206501 - 2019 - Urban stormwater: An overlooked pathway of extensive mixed contaminants to surface and groundwaters in the United States","interactions":[],"lastModifiedDate":"2019-12-06T10:46:24","indexId":"70206501","displayToPublicDate":"2019-08-21T14:00:53","publicationYear":"2019","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":"Urban stormwater: An overlooked pathway of extensive mixed contaminants to surface and groundwaters in the United States","docAbstract":"Increasing global reliance on stormwater control measures to reduce discharge to surface water, increase groundwater recharge, and minimize contaminant delivery to receiving waterbodies necessitates improved understanding of stormwater-contaminant profiles. A multi-agency study of organic and inorganic chemicals in urban stormwater from 50 runoff events at 21 sites across the United States demonstrated that stormwater transports substantial mixtures of polycyclic aromatic hydrocarbons, bioactive contaminants (pesticides and pharmaceuticals), and other organic chemicals known or suspected to pose environmental health concern. Numerous organic-chemical detections per site (median number of chemicals detected = 73), individual concentrations exceeding 10,000 ng/L, and cumulative concentrations up to 263,000 ng/L suggested concern for potential environmental effects during runoff events. Organic concentrations, loads, and yields were positively correlated with impervious surfaces and highly developed urban catchments. Episodic storm-event organic concentrations and loads were comparable to and often exceeded those of daily wastewater plant discharges. Inorganic chemical concentrations were generally dilute in concentration and did not exceed chronic aquatic life criteria. Methylmercury was measured in 90% of samples with concentrations that ranged from 0.05 to 1.0 ng/L.","language":"English","publisher":"Environmental Science and Technology","doi":"10.1021/acs.est.9b02867","usgsCitation":"Masoner, J.R., Kolpin, D., Cozzarelli, I.M., Barber, L.B., Burden, D., Foreman, W.T., Forshay, K.J., Furlong, E., Groves, J.F., Hladik, M.L., Hopton, M.E., Jaeschke, J.B., Keefe, S.H., Krabbenhoft, D., Lowrance, R., Romanok, K., Rus, D.L., Selbig, W.R., Williams, B., and Bradley, P., 2019, Urban stormwater: An overlooked pathway of extensive mixed contaminants to surface and groundwaters in the United States: Environmental Science & Technology, v. 53, no. 17, p. 10070-10081, https://doi.org/10.1021/acs.est.9b02867.","productDescription":"12 p.","startPage":"10070","endPage":"10081","ipdsId":"IP-098988","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":208,"text":"Core Science Analytics and 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Center","active":true,"usgs":true}],"preferred":true,"id":776851,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":776852,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Williams, Brad 0000-0002-2827-6880 bradwilliams@usgs.gov","orcid":"https://orcid.org/0000-0002-2827-6880","contributorId":194381,"corporation":false,"usgs":true,"family":"Williams","given":"Brad","email":"bradwilliams@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":776853,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Bradley, Paul","contributorId":204643,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":776854,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70128734,"text":"tm6A52 - 2019 - SUTRA, a model for saturated-unsaturated, variable-density groundwater flow with solute or energy transport—Documentation of generalized boundary conditions, a modified implementation of specified pressures and concentrations or temperatures, and the lake capability","interactions":[],"lastModifiedDate":"2019-08-23T09:31:13","indexId":"tm6A52","displayToPublicDate":"2019-08-21T13:45:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A52","displayTitle":"SUTRA, a Model for Saturated-Unsaturated, Variable-Density Groundwater Flow with Solute or Energy Transport—Documentation of Generalized Boundary Conditions, a Modified Implementation of Specified Pressures and Concentrations or Temperatures, and the Lake Capability","title":"SUTRA, a model for saturated-unsaturated, variable-density groundwater flow with solute or energy transport—Documentation of generalized boundary conditions, a modified implementation of specified pressures and concentrations or temperatures, and the lake capability","docAbstract":"Version 3.0 of the SUTRA groundwater modeling program offers three new capabilities: generalized boundary conditions, a modified implementation of specified pressures and concentrations or temperatures, and lakes. Two new types of “generalized” boundary conditions facilitate simulation of a wide range of hydrologic processes that interact with the groundwater model, such as rivers, drains, and evapotranspiration. For generalized-flow boundary conditions, gain (inflow) or loss (outflow) of fluid mass varies linearly with pressure, subject to optional upper and lower limits on flow and (or) pressure. For generalized-transport boundary conditions, gain or loss of solute mass or energy varies linearly with concentration or temperature, respectively. Two of the original types of SUTRA boundary conditions—specified-pressure and specified-concentration or temperature—have been modified such that user-specified, conductance-like factors (known as GNUP and GNUU in previous versions of SUTRA) are no longer required. The new lake capability works with all types of SUTRA boundary conditions, including the new generalized boundary conditions, to enable simulation of the interaction of groundwater flow and transport with lake water “ponded” on the surface of a three-dimensional model. SUTRA uses the topography of the top surface of the model, or, optionally, user-specified lake-bottom elevations, to identify potential lakes automatically. Increases and decreases in lake stage can cause lakes to coalesce and divide, respectively. The lake capability may be used with saturated or unsaturated flow and solute or energy transport.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Groundwater in Book 6 <i>Modeling Techniques</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A52","collaboration":"Prepared in cooperation with the Strategic Environmental Research and Development Program","usgsCitation":"Provost, A.M., and Voss, C.I., 2019, SUTRA, a model for saturated-unsaturated, variable-density groundwater flow with solute or energy transport—Documentation of generalized boundary conditions, a modified implementation of specified pressures and concentrations or temperatures, and the lake capability: U.S. Geological Survey Techniques and Methods, book 6, chap. A52, 62 p., https://doi.org/10.3133/tm6A52.","productDescription":"viii, 62 p.","numberOfPages":"74","onlineOnly":"Y","ipdsId":"IP-058173","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":437362,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PPEHHM","text":"USGS data release","linkHelpText":"SUTRA 3"},{"id":364789,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/06/a52/tm6a52.pdf","text":"Report","size":"4.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 6-A52"},{"id":364788,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/06/a52/coverthb.jpg"}],"publicComments":"This report is Chapter 52 of Section A: Groundwater in Book 6 <i>Modeling Techniques</i>","contact":"<p>Director, Earth System Processes Division<br>U.S. Geological Survey<br>Mail Stop 411<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Chapter 1. Generalized Boundary Conditions</li><li>Chapter 2. Modified Implementation of Specified Pressures and Concentrations or Temperatures</li><li>Chapter 3. Lake Capability</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. List of Symbols</li><li>Appendix 2. Flow Across a Conductive Layer</li><li>Appendix 3. Input Data List</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-08-21","noUsgsAuthors":false,"publicationDate":"2019-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Provost, Alden M. 0000-0002-4443-1107 aprovost@usgs.gov","orcid":"https://orcid.org/0000-0002-4443-1107","contributorId":138757,"corporation":false,"usgs":true,"family":"Provost","given":"Alden","email":"aprovost@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":false,"id":764514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":764515,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204870,"text":"70204870 - 2019 - A space-time geostatistical model for probabilistic estimation of harmful algal bloom biomass and areal extent","interactions":[],"lastModifiedDate":"2019-08-26T09:30:13","indexId":"70204870","displayToPublicDate":"2019-08-21T09:33:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"A space-time geostatistical model for probabilistic estimation of harmful algal bloom biomass and areal extent","docAbstract":"Harmful algal blooms (HABs) have been increasing in intensity across many waterbodies worldwide, including the western basin of Lake Erie. Substantial efforts have been made to track these blooms using in situ sampling and remote sensing. However, such measurements do not fully capture HAB spatial and temporal dynamics due to the limitations of discrete shipboard sampling over large areas and the effects of clouds and winds on remote sensing estimates. To address these limitations, we develop a space-time geostatistical modeling framework to improve estimates of HAB timing, extent, and intensity using five independent sets of chlorophyll a (chl-a) data sampled from June to October, 2008 to 2017. Based on the Bayesian information criterion for model selection, trend variables explain bloom northerly and easterly expansion from Maumee Bay, wind effects over depth, and variability among sampling methods. Cross validation results indicate the model can estimate daily, location-specific chl-a concentrations with reasonable accuracy (R2 = 55%) between monitoring cruises. Conditional simulations provide probabilistic estimates of algal biomass and surface areal extent, which are compared to remote sensing estimates. The simulations also provide, for the first time, comprehensive estimates of overall bloom biomass based on depth-integrated concentrations, with quantified uncertainties. These estimates enhance our understanding of HAB variability and can inform HAB monitoring network design, predictive modeling, and management.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.133776","usgsCitation":"Fang, S., Giudice, D.D., Scavia, D., Binding, C.E., Bridgeman, T.B., Chaffin, J.D., Evans, M.A., Guinness, J., Johengen, T.H., and Obenour, D.R., 2019, A space-time geostatistical model for probabilistic estimation of harmful algal bloom biomass and areal extent: Science of the Total Environment, v. 695, 133776, 12 p., https://doi.org/10.1016/j.scitotenv.2019.133776.","productDescription":"133776, 12 p.","ipdsId":"IP-107890","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":467354,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.133776","text":"Publisher Index Page"},{"id":366776,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.638916015625,\n              41.393294288784865\n            ],\n            [\n              -78.717041015625,\n              41.393294288784865\n            ],\n            [\n              -78.717041015625,\n              42.94033923363181\n            ],\n            [\n              -83.638916015625,\n              42.94033923363181\n            ],\n            [\n              -83.638916015625,\n              41.393294288784865\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"695","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fang, Shiqi","contributorId":218250,"corporation":false,"usgs":false,"family":"Fang","given":"Shiqi","email":"","affiliations":[{"id":39784,"text":"Department of Civil, Construction, & Environmental Engineering, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":768817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Giudice, Dario Del","contributorId":218251,"corporation":false,"usgs":false,"family":"Giudice","given":"Dario","email":"","middleInitial":"Del","affiliations":[{"id":39784,"text":"Department of Civil, Construction, & Environmental Engineering, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":768818,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scavia, Donald","contributorId":200340,"corporation":false,"usgs":false,"family":"Scavia","given":"Donald","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":768819,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Binding, Caren E.","contributorId":218252,"corporation":false,"usgs":false,"family":"Binding","given":"Caren","email":"","middleInitial":"E.","affiliations":[{"id":39785,"text":"Water Science and Technology Directorate, Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":768820,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bridgeman, Thomas B.","contributorId":218253,"corporation":false,"usgs":false,"family":"Bridgeman","given":"Thomas","email":"","middleInitial":"B.","affiliations":[{"id":39786,"text":"Department of Environmental Sciences and Lake Erie Center, University of Toledo","active":true,"usgs":false}],"preferred":false,"id":768821,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chaffin, Justin D.","contributorId":173037,"corporation":false,"usgs":false,"family":"Chaffin","given":"Justin","email":"","middleInitial":"D.","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":768822,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":149358,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":768816,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Guinness, Joseph","contributorId":218254,"corporation":false,"usgs":false,"family":"Guinness","given":"Joseph","email":"","affiliations":[{"id":39787,"text":"Department of Statistical Science, Cornell University","active":true,"usgs":false}],"preferred":false,"id":768823,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johengen, Thomas H.","contributorId":218255,"corporation":false,"usgs":false,"family":"Johengen","given":"Thomas","email":"","middleInitial":"H.","affiliations":[{"id":39788,"text":"Cooperative Institute for Great Lakes Research, University of Michigan","active":true,"usgs":false}],"preferred":false,"id":768824,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Obenour, Daniel R","contributorId":218256,"corporation":false,"usgs":false,"family":"Obenour","given":"Daniel","email":"","middleInitial":"R","affiliations":[{"id":39784,"text":"Department of Civil, Construction, & Environmental Engineering, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":768825,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70203824,"text":"ofr20191072 - 2019 - Offshore shallow structure and sediment distribution, Punta Gorda to Point Arena, Northern California","interactions":[],"lastModifiedDate":"2019-08-21T14:16:36","indexId":"ofr20191072","displayToPublicDate":"2019-08-21T09:26:55","publicationYear":"2019","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":"2019-1072","displayTitle":"Offshore Shallow Structure and Sediment Distribution, Punta Gorda to Point Arena, Northern California","title":"Offshore shallow structure and sediment distribution, Punta Gorda to Point Arena, Northern California","docAbstract":"<p>This publication consists of two map sheets that display shallow geologic structure, along with sediment distribution and thickness, for an approximately 150-km-long offshore section of the northern California coast between Punta Gorda and Point Arena. Each map sheet includes three maps at scales of either 1:100,000 or 1:200,000, and together the sheets include 30 figures that contain representative high-resolution seismic-reflection profiles. The maps and seismic-reflection surveys cover most of the continental shelf in this region. In addition, the maps show the locations of the shelf break and the 3-nautical-mile limit of California’s State Waters.</p><p>The seismic-reflection data, which are the primary dataset used to develop the maps, were collected to support the California Seafloor Mapping Program, U.S. Geological Survey Offshore Geologic Hazards projects, and National Oceanic and Atmospheric Administration’s (NOAA’s) Ocean Explorer program. In addition to the two map sheets, this publication includes geographic information system data files of faults, sediment thicknesses, and depths-to-base of sediment</p><p>The map area includes the northernmost section of the right-lateral San Andreas Fault, which extends offshore from Point Arena in the south to Point Delgada in the north. The San Andreas Fault is the primary structure in the widely distributed plate boundary between the Pacific Plate and the Sierra Nevada–Great Valley Microplate, with estimates of cumulative right slip <span>of as much as</span> up to 450 km. South of Point Delgada, fault-related transtension has resulted in development of the Noyo Basin. North of Point Delgada, the San Andreas Fault transitions into a complex contractional zone in and (or) south of the King Range, including a possible nearshore fault that may connect with the Mattole Canyon Fault.</p><p>Quaternary sediments and bedrock underlie the shelf. On the seismic-reflection profiles, we digitally traced the thickness and depth of the uppermost seismic-stratigraphic unit, which is a focus of this publication. The upper contact of this unit is the seafloor; the lower contact is a transgressive surface of erosion, a commonly angular, wave-cut unconformity characterized by an upward change to lower amplitude, more diffuse reflections. On the basis of this lower contact, this stratigraphic unit is inferred to have been deposited on the shelf in the last about 21,000 years during the sea-level rise that followed the last major lowstand and the Last Glacial Maximum (LGM). Maps in this publication show both the thickness of this upper sediment unit and the depth to the base of the sediment unit. Within the map region, five different “domains” of post-LGM shelf sediment are delineated on the basis of sediment thickness and coastal geomorphology. Maximum sediment thickness (as much as 67 m) is found in the northern part of the region, along the steep south flank of the King Range. Minimum sediment thickness (areas of exposed bedrock) is found on fault-bounded uplifts, which include Tolo bank and Punta Gorda bank. Mean sediment thickness for the entire shelf in the map area between Punta Gorda and Point Arena is 8.9 m, and total sediment volume is 12,824×10<sup>6</sup> m<sup>3</sup>.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191072","usgsCitation":"Beeson, J.W., and Johnson, S.Y., 2019, Offshore shallow structure and sediment distribution, Punta Gorda to Point Arena, northern California: U.S. Geological Survey Open-File Report 2019–1072, 2 sheets, scales 1:100,000 and 1:200,000, https://doi.org/10.3133/ofr20191072.\n","productDescription":"2 Sheets: 65 x 37 inches and 85 x 38 inches; Metadata; Data Release","onlineOnly":"Y","ipdsId":"IP-101053","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":437363,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PNNI9H","text":"USGS data release","linkHelpText":"California State Waters Map Series Data Catalog--Punta Gorda to Point Arena"},{"id":366611,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/ofr20181158","text":"Open-File Report 2018-1158","linkHelpText":" - Offshore Shallow Structure and Sediment Distribution, Point Sur to Point Arguello, Central California, by Sam Y. Johnson and others."},{"id":366613,"rank":8,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/P9PNNI9H","linkHelpText":"The GIS data layers for this map are accessible from “Offshore Shallow Structure and Sediment Distribution, Point Sur to Point Arguello, Central California” which is part of California State Waters Map Series Data Catalog. Each GIS data file is listed with a brief description, a small image, and links to the metadata files and the downloadable data files."},{"id":366612,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2015/1098/","text":"Open-File Report 2015-1098","linkHelpText":" - California State Waters Map Series—Offshore of Salt Point, California, by Sam Y. Johnson and others."},{"id":366606,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1072/ofr20191072_sheet1.pdf","text":"Sheet 1 of 2","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1072 Sheet 1 of 2"},{"id":366605,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1072/coverthb.jpg"},{"id":366607,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1072/ofr20191072_sheet2.pdf","text":"Sheet 2 of 2","size":"11 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1072 Sheet 2 of 2"},{"id":366608,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2019/1072/ofr20191072_metadata.html","text":"Metadata","size":"5 KB","linkFileType":{"id":5,"text":"html"},"description":"OFR 2019-1072 Metadata"},{"id":366610,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/781/","text":"Data Series 781","linkHelpText":" - California State Waters Map Series Data Catalog"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.969482421875,\n              39.88866516883713\n            ],\n            [\n              -122.50305175781249,\n              39.88866516883713\n            ],\n            [\n              -122.50305175781249,\n              41.99624282178583\n            ],\n            [\n              -124.969482421875,\n              41.99624282178583\n            ],\n            [\n              -124.969482421875,\n              39.88866516883713\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"http://walrus.wr.usgs.gov/infobank/programs/html/staff2html/staff.html\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"http://walrus.wr.usgs.gov/infobank/programs/html/staff2html/staff.html\">Contact Information</a><br><a href=\"https://walrus.wr.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://walrus.wr.usgs.gov/\">Pacific Coastal &amp; Marine Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>Pacific Science Center<br>2885 Mission St.<br>Santa Cruz, CA 95060</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-08-21","noUsgsAuthors":false,"publicationDate":"2019-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Beeson, Jeffrey W. 0000-0002-7396-237X","orcid":"https://orcid.org/0000-0002-7396-237X","contributorId":194964,"corporation":false,"usgs":false,"family":"Beeson","given":"Jeffrey","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":764288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Samuel Y. 0000-0001-7972-9977","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":216241,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":764287,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204135,"text":"ofr20191078 - 2019 - Continuous stream discharge, salinity, and associated data collected in the lower St. Johns River and its tributaries, Florida, 2017","interactions":[],"lastModifiedDate":"2019-08-21T11:44:16","indexId":"ofr20191078","displayToPublicDate":"2019-08-21T08:11:59","publicationYear":"2019","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":"2019-1078","displayTitle":"Continuous Stream Discharge, Salinity, and Associated Data Collected in the Lower St. Johns River and Its Tributaries, Florida, 2017","title":"Continuous stream discharge, salinity, and associated data collected in the lower St. Johns River and its tributaries, Florida, 2017","docAbstract":"<p>The U.S. Army Corps of Engineers, Jacksonville District, plans to deepen the St. Johns River channel in Jacksonville, Florida, from 40 to 47 feet along 13 miles of the river channel, beginning at the mouth of the river at the Atlantic Ocean, to accommodate larger, fully loaded cargo vessels. The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, (1) installed continuous data collection stations to monitor discharge, salinity, and associated parameters at 23 sites prior to the commencement of dredging and (2) monitored stage and discharge at 13 sites and water temperature, specific conductance, and salinity at 16 sites; all parameters were monitored at some sites.</p><p>This is the second annual report by the U.S. Geological Survey on data collection for the Jacksonville Harbor deepening and contains information pertinent to the data collection sites during the 2017 water year, from October 2016 to September 2017. One data collection site on the St. Johns River below Shands Bridge was added to the network during this timeframe after the previously monitored location was damaged by Hurricane Matthew.</p><p>Discharge and salinity varied widely during the data collection period, reflecting the effects of Hurricane Matthew in October 2016 and Hurricane Irma in September 2017. The annual mean discharge at Trout River was greatest among the tributaries, followed by annual mean discharges at Durbin Creek, Ortega River, Julington Creek, Pottsburg Creek, Clapboard Creek, Cedar River, Broward River, and Dunn Creek. Among the tributary sites, annual mean salinity was highest at the site closest to the Atlantic Ocean, Clapboard Creek, and lowest at the site farthest from the ocean, Durbin Creek. Annual mean salinity data from the main-stem sites on the St. Johns River indicate that salinity decreased with distance upstream from the ocean, which is expected. Relative to salinity for the 2016 water year, annual mean salinity in the tributaries was higher for the 2017 water year at four monitoring locations, lower at four monitoring locations, and the same at one location. Of the three sites where salinity was calculated on the main stem in the 2016 water year, salinity was higher at one monitoring location in the 2017 water year and lower at two locations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191078","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Ryan, P.J., 2019, Continuous stream discharge, salinity, and associated data collected in the lower St. Johns River and its tributaries, Florida, 2017: U.S. Geological Survey Open-File Report 2019–1078, 35 p., https://doi.org/10.3133/ofr20191078.","productDescription":"viii, 35 p.","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-106628","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":366770,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1078/ofr20191078.pdf","text":"Report","size":"11.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1078"},{"id":366769,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1078/coverthb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Lower St Johns River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.1502685546875,\n              29.156958511360703\n            ],\n            [\n              -81.2109375,\n              29.156958511360703\n            ],\n            [\n              -81.2109375,\n              30.500750980290693\n            ],\n            [\n              -82.1502685546875,\n              30.500750980290693\n            ],\n            [\n              -82.1502685546875,\n              29.156958511360703\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www2.usgs.gov/water/caribbeanflorida/index.html\" href=\"https://www2.usgs.gov/water/caribbeanflorida/index.html\">Caribbean-Florida Water Science Center</a> <br>U.S. Geological Survey <br>4446 Pet Lane, Suite 108 <br>Lutz, FL 33559</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-08-21","noUsgsAuthors":false,"publicationDate":"2019-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Ryan, Patrick J. 0000-0002-1490-4938 pryan@usgs.gov","orcid":"https://orcid.org/0000-0002-1490-4938","contributorId":203974,"corporation":false,"usgs":true,"family":"Ryan","given":"Patrick","email":"pryan@usgs.gov","middleInitial":"J.","affiliations":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765668,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70204768,"text":"fs20193041 - 2019 - The U.S. Geological Survey Southwest Biological Science Center—Sound science to serve the American Southwest","interactions":[],"lastModifiedDate":"2019-08-23T10:48:39","indexId":"fs20193041","displayToPublicDate":"2019-08-20T15:36:45","publicationYear":"2019","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":"2019-3041","displayTitle":"The U.S. Geological Survey Southwest Biological Science Center—Sound Science to Serve the American Southwest","title":"The U.S. Geological Survey Southwest Biological Science Center—Sound science to serve the American Southwest","docAbstract":"<p>Home to Arches, Grand Canyon, and Saguaro National Parks, among others, the American Southwest’s landscapes are as fragile as they are iconic. Energy development, water security, and grassland restoration are important to the region as it experiences population growth and increased demand for resources. The U.S. Geological Survey’s Southwest Biological Science Center provides sound scientific information to help identify effective management strategies for the Southwest’s abundant natural resources and vast public lands. Research is focused on two key areas—dryland ecology and river science.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193041","usgsCitation":"Southwest Biological Science Center staff, 2019, The U.S. Geological Survey Southwest Biological Science Center—Sound science to serve the American Southwest: U.S. Geological Survey Fact Sheet 2019–3041, 4 p., https://doi.org/10.3133/fs20193041.","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-110036","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":366772,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3041/fs20193041.pdf","text":"Report","size":"4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2019-3041"},{"id":366771,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3041/coverthb.jpg"}],"country":"United States","state":"Arizona, California, Nevada, Utah","otherGeospatial":"American Southwest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.0478515625,\n              31.50362930577303\n            ],\n            [\n              -109.248046875,\n              31.50362930577303\n            ],\n            [\n              -109.248046875,\n              38.324420427006544\n            ],\n            [\n              -119.0478515625,\n              38.324420427006544\n            ],\n            [\n              -119.0478515625,\n              31.50362930577303\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a data-mce-href=\"https://www.usgs.gov/centers/sbsc/connect\" href=\"https://www.usgs.gov/centers/sbsc/connect\" target=\"_blank\" rel=\"noopener\">Director</a>,&nbsp;<br><a href=\"https://www.usgs.gov/centers/sbsc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/sbsc\">Southwest Biological Science Center</a><br><a href=\"https://usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>2255 N. Gemini Drive<br>Flagstaff, AZ 86001<br>United States</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-08-20","noUsgsAuthors":false,"publicationDate":"2019-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Biological Science Center Staff, Southwest","contributorId":218257,"corporation":false,"usgs":true,"family":"Biological Science Center Staff","given":"Southwest","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":768392,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70203792,"text":"ofr20191064 - 2019 - Molecular identification of fecal contamination in the Elks Run Watershed, Jefferson County, West Virginia, 2016–17","interactions":[],"lastModifiedDate":"2024-03-04T19:35:54.980435","indexId":"ofr20191064","displayToPublicDate":"2019-08-20T15:30:00","publicationYear":"2019","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":"2019-1064","displayTitle":"Molecular Identification of Fecal Contamination in the Elks Run Watershed, Jefferson County, West Virginia, 2016–17","title":"Molecular identification of fecal contamination in the Elks Run Watershed, Jefferson County, West Virginia, 2016–17","docAbstract":"<p>The U.S. Geological Survey conducted a study using modern methods of molecular analysis aimed at attempting to identify the source(s) of fecal contamination that had been identified in previous studies conducted by the West Virginia Conservation Agency in the Elk Run watershed, Jefferson County, West Virginia. Water samples from multiple sites showing elevated fecal coliform counts were analyzed using molecular markers associated with general mammalian fecal contamination (AllBac), human <i>Bacteroides</i> (HF183), bovine <i>Bacteroides</i> (BoBac), and human polyomavirus (HPyV). Samples were also analyzed by quantitative polymerase chain reaction (qPCR) for human and bovine cytochrome b (mitochondrial DNA marker). A headwater site (Elk Branch at Shenandoah Junction) was found to be severely affected by both human and bovine contamination in May 2017. Although many of the molecular marker levels as well as <i>Escherichia coli</i> numbers had declined by a repeat sampling in June 2017, total coliform bacterial numbers remained high. Examination of the data indicated that this site had probably been affected by two separate contamination events, an influx of bovine contamination close to the time of the May sampling and a human contamination event that had occurred earlier. Samples from all sites contained bovine mitochondrial DNA, whereas only one revealed relatively high levels of human mitochondrial DNA. The Elk Run watershed appears to be widely affected by bovine influences with human influence episodically playing a role. Surface runoff caused by rain events exacerbates both.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191064","usgsCitation":"Schill, W.B., and Iwanowicz, D.D., 2019, Molecular identification of fecal contamination in the Elks Run watershed, Jefferson County, West Virginia, 2016–17: U.S. Geological Survey Open-File Report 2019–1064, 9 p., https://doi.org/10.3133/ofr20191064.","productDescription":"9 p.","onlineOnly":"Y","ipdsId":"IP-092227","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":366675,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1064/ofr20191064.pdf","text":"Report","size":"6.53 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1064"},{"id":366674,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1064/coverthb.jpg"}],"country":"United States","state":"West Virginia","county":"Jefferson 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<a href=\"https://www.usgs.gov/centers/eesc\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br>U.S. Geological Survey<br>11649 Leetown Road<br>Kearneysville, WV 25430</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2019-08-20","noUsgsAuthors":false,"publicationDate":"2019-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Schill, W. Bane 0000-0002-9217-984X","orcid":"https://orcid.org/0000-0002-9217-984X","contributorId":213903,"corporation":false,"usgs":true,"family":"Schill","given":"W. Bane","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":764147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, Deborah D. 0000-0002-9613-8594","orcid":"https://orcid.org/0000-0002-9613-8594","contributorId":216201,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Deborah D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":764148,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204609,"text":"ofr20191087 - 2019 - Polycyclic aromatic hydrocarbons, polychlorinated biphenyls, and metals in ambient sediment at mussel biomonitoring sites, Puget Sound, Washington","interactions":[],"lastModifiedDate":"2019-08-21T09:13:55","indexId":"ofr20191087","displayToPublicDate":"2019-08-20T15:08:48","publicationYear":"2019","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":"2019-1087","displayTitle":"Polycyclic Aromatic Hydrocarbons, Polychlorinated Biphenyls, and Metals in Ambient Sediment at Mussel Biomonitoring Sites, Puget Sound, Washington","title":"Polycyclic aromatic hydrocarbons, polychlorinated biphenyls, and metals in ambient sediment at mussel biomonitoring sites, Puget Sound, Washington","docAbstract":"<p>Caged mussels used as biomonitors can provide insights about ambient contaminant assemblages and spatial patterns, sources of contaminants, and contaminant exposure risks for consumers of wild and farmed mussels. This study explored the potential role of ambient sediment in the uptake of polycyclic aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs), and potentially toxic inorganic elements by caged mussels and complements findings from a Puget Sound-wide stormwater-contaminant mussel-monitoring survey in Washington State. In summary, ambient sediment appeared to be related to mussel uptake of lead and possibly copper at all sites, PCBs at industrial sites, and PAHs at Liberty Bay, Eagle Harbor, and, to a lesser extent, Smith Cove. These findings indicate that resuspended bed sediment is one, but not the only, pathway that filter-feeding mussels are exposed to contaminants. Overall, PAHs, PCBs, arsenic, and potentially toxic metals were low in intertidal bed sediment at the nine sites measured in Puget Sound in February 2016 and signify a low risk of sediment-bound contaminant exposure to mussels at those locations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191087","usgsCitation":"Takesue, R.K., Campbell, P.L., and Conn, K.E., 2019, Polycyclic aromatic hydrocarbons, polychlorinated biphenyls, and metals in ambient sediment at mussel biomonitoring sites, Puget Sound, Washington: U.S. Geological Survey Open-File Report 2019–1087, 15 p., https://doi.org/10.3133/ofr20191087.","productDescription":"Report: vi, 15 p.","numberOfPages":"15","onlineOnly":"Y","ipdsId":"IP-102107","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":366767,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1087/ofr20191087.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2019-1087"},{"id":366766,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1087/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.3759765625,\n              47.03269459852135\n            ],\n            [\n              -121.83837890625,\n              47.03269459852135\n            ],\n            [\n              -121.83837890625,\n              48.98382212608503\n            ],\n            [\n              -125.3759765625,\n              48.98382212608503\n            ],\n            [\n              -125.3759765625,\n              47.03269459852135\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/pcmsc/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/pcmsc/connect\">Contact Information</a><br><a href=\"https://walrus.wr.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://walrus.wr.usgs.gov/\">Pacific Coastal &amp; Marine Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>Pacific Science Center<br>2885 Mission St.<br>Santa Cruz, CA 95060</p>","tableOfContents":"<ul><li>Abstract</li><li>Background</li><li>Methods</li><li>Results and Discussion</li><li>Conclusions</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-08-20","noUsgsAuthors":false,"publicationDate":"2019-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Takesue, Renee K. 0000-0003-1205-0825 rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":2159,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","middleInitial":"K.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":767756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell‐Swarzenski, Pamela L. 0000-0002-2232-6381","orcid":"https://orcid.org/0000-0002-2232-6381","contributorId":210642,"corporation":false,"usgs":true,"family":"Campbell‐Swarzenski","given":"Pamela L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":767758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conn, Kathleen E. 0000-0002-2334-6536 kconn@usgs.gov","orcid":"https://orcid.org/0000-0002-2334-6536","contributorId":3923,"corporation":false,"usgs":true,"family":"Conn","given":"Kathleen E.","email":"kconn@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":767757,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204852,"text":"70204852 - 2019 - Optimum electrofishing waveforms and parameters to induce a capture-prone response in juvenile Grass Carp","interactions":[],"lastModifiedDate":"2019-08-20T14:52:55","indexId":"70204852","displayToPublicDate":"2019-08-20T14:52:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Optimum electrofishing waveforms and parameters to induce a capture-prone response in juvenile Grass Carp","docAbstract":"Grass Carp (Ctenopharyngodon idella) are a non-native species to North America that were first introduced for vegetation control in the 1960s.  However, wild-reproducing Grass Carp can negatively impact aquatic habitats and aquatic communities by consuming substantial amounts of aquatic vegetation and increasing turbidity.  Numerous fisheries techniques have been used in an attempt to control or eradicate Grass Carp, including electrofishing.  However, electrofishing efficiency for Grass Carp has been variable, and optimum electrofishing waveforms and parameters for inducing a capture-prone response have not been determined.  The objective of this study was to determine the optimum electrofishing waveforms and parameters to induce a capture-prone response at various water temperatures and conductivities in juvenile Grass Carp in a controlled, laboratory setting.  Results indicated that rectangular pulse waveforms with 60 to 100 Hz frequencies were most effective for immobilization of juvenile Grass Carp.  All duty cycles tested (20 – 48%) at these frequencies were effective; although at 60 Hz and 80 Hz frequencies, 24% and 30% duty cycles, respectively, may be more effective.  Water temperature was positively related to voltage gradient immobilization thresholds whereas ambient water conductivity and fish size were inversely related to voltage gradient immobilization thresholds.  This study provides important information to those seeking to control, eradicate, or detect Grass Carp using electrofishing and provides a framework for future studies focusing on adult Grass Carp.","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10303","usgsCitation":"Briggs, A.S., Dean, J.C., Boase, J., Kocovsky, P., and Luoma, J.A., 2019, Optimum electrofishing waveforms and parameters to induce a capture-prone response in juvenile Grass Carp: North American Journal of Fisheries Management, v. 39, no. 3, p. 705-713, https://doi.org/10.1002/nafm.10303.","productDescription":"9 p.","startPage":"705","endPage":"713","ipdsId":"IP-100909","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":437365,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RGYJZ5","text":"USGS data release","linkHelpText":"Envrionmental DNA data for Refinement of eDNA as an early monitoring tool at the landscape-level: Data"},{"id":437364,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CPYOBT","text":"USGS data release","linkHelpText":"Optimum electrofishing waveforms and parameters to induce immobilization of juvenile Grass Carp: Data"},{"id":366751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366672,"type":{"id":15,"text":"Index Page"},"url":"https://www.doi.org/10.1002/nafm.10303"}],"volume":"39","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Briggs, Andrew S 0000-0002-0268-9310","orcid":"https://orcid.org/0000-0002-0268-9310","contributorId":215596,"corporation":false,"usgs":false,"family":"Briggs","given":"Andrew","email":"","middleInitial":"S","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":768751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dean, Jan C.","contributorId":195579,"corporation":false,"usgs":false,"family":"Dean","given":"Jan","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":768752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boase, James C.","contributorId":38077,"corporation":false,"usgs":false,"family":"Boase","given":"James C.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":768753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":768754,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":768750,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204861,"text":"70204861 - 2019 - Spatial distribution of water level impact to back-barrier bays","interactions":[],"lastModifiedDate":"2021-09-17T11:49:09.164716","indexId":"70204861","displayToPublicDate":"2019-08-20T14:48:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2824,"text":"Natural Hazards and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Spatial distribution of water level impact to back-barrier bays","docAbstract":"Water level in semi-enclosed bays, landward of barrier islands, is mainly driven by offshore sea level fluctuations that are modulated by bay geometry and bathymetry, causing spatial variability in the ensuing response (transfer). Local wind setup can have a secondary role that depends on wind speed, fetch, and relative orientation of the wind direction and the bay. Inlet geometry and bathymetry primarily regulate the magnitude of the transfer between open ocean and bay. Tides and short-period offshore oscillations are more damped in the bays than longer-lasting offshore fluctuations, such as storm surge and sea level rise. We compare observed and modeled water levels at stations in a mid-Atlantic bay (Barnegat Bay) with offshore water level proxies. Observed water levels in Barnegat Bay are compared and combined with model results from the Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST) modeling system to evaluate the spatial structure of the water level transfer. Analytical models based on the dimensional characteristics of the bay are used to combine the observed data and the numerical model results in a physically consistent approach. Model water level transfers match observed values at locations inside the Bay in the storm frequency band (transfers ranging from 70-100%) and tidal frequencies (10-55%). The contribution of frequency-dependent local setup caused by wind acting along the bay is also considered. The approach provides transfer estimates for locations inside the Bay where observations were not available resulting in a complete spatial characterization. The approach allows for the study of the Bay response to alternative forcing scenarios (landscape changes, future storms, and rising sea level). Detailed spatial estimates of water level transfer can inform decisions on inlet management and contribute to the assessment of current and future flooding hazard in back-barrier bays and along mainland shorelines.","language":"English","publisher":"European Geoscience Union","doi":"10.5194/nhess-19-1823-2019","usgsCitation":"Aretxabaleta, A., Ganju, N., Defne, Z., and Signell, R.P., 2019, Spatial distribution of water level impact to back-barrier bays: Natural Hazards and Earth System Sciences, v. 19, no. 8, p. 1823-1838, https://doi.org/10.5194/nhess-19-1823-2019.","productDescription":"16 p.","startPage":"1823","endPage":"1838","ipdsId":"IP-102040","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467356,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/nhess-19-1823-2019","text":"Publisher Index Page"},{"id":366748,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"8","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Aretxabaleta, Alfredo 0000-0002-9914-8018 aaretxabaleta@usgs.gov","orcid":"https://orcid.org/0000-0002-9914-8018","contributorId":140090,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo","email":"aaretxabaleta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":768781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":768782,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Defne, Zafer 0000-0003-4544-4310 zdefne@usgs.gov","orcid":"https://orcid.org/0000-0003-4544-4310","contributorId":5520,"corporation":false,"usgs":true,"family":"Defne","given":"Zafer","email":"zdefne@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":768783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Signell, Richard P. 0000-0003-0682-9613 rsignell@usgs.gov","orcid":"https://orcid.org/0000-0003-0682-9613","contributorId":140906,"corporation":false,"usgs":true,"family":"Signell","given":"Richard","email":"rsignell@usgs.gov","middleInitial":"P.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":768784,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204534,"text":"ofr20191085 - 2019 - Monitoring of endangered Klamath Basin suckers translocated from Lake Ewauna to Upper Klamath Lake, Oregon, 2014−2017","interactions":[],"lastModifiedDate":"2019-08-21T09:06:24","indexId":"ofr20191085","displayToPublicDate":"2019-08-20T11:48:53","publicationYear":"2019","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":"2019-1085","displayTitle":"Monitoring of Endangered Klamath Basin Suckers Translocated from Lake Ewauna to Upper Klamath Lake, Oregon, 2014–2017","title":"Monitoring of endangered Klamath Basin suckers translocated from Lake Ewauna to Upper Klamath Lake, Oregon, 2014−2017","docAbstract":"<p class=\"p1\">Data from a 4-year capture and transport program were used to assess translocation as a management strategy for two long-lived, federally endangered catostomids in the Upper Klamath Basin, Oregon. Lost River (<i>Deltistes luxatus</i>) and shortnose (<i>Chasmistes brevirostris</i>) suckers, two species endemic to the Klamath Basin, were translocated from Lake Ewauna to Upper Klamath Lake in each of 4 years (2014–2017) in an effort to augment existing spawning populations in Upper Klamath Lake. Lake Ewauna, downstream of Upper Klamath Lake and connected to it by the Link River, has small populations of Lost River and shortnose suckers. Upper Klamath Lake has the largest remaining population of Lost River suckers and one of the largest remaining populations of shortnose suckers. Adult suckers were captured in Lake Ewauna, tagged with passive integrated transponder (PIT) tags, and translocated to the Williamson River, a spawning tributary that flows into Upper Klamath Lake. We monitored initial success of translocation efforts with encounters from remote PIT tag antennas and physical recaptures.</p><p class=\"p1\">A total of 659 suckers were translocated from Lake Ewauna to the Williamson River (40 in 2014, 384 in 2015, 172 in 2016, and 63 in 2017). All individuals that were translocated were assumed to be one of the endangered taxa, but recaptures indicated that some translocated suckers were misidentified and were instead Klamath largescale suckers (<i>Catostomus snyderi</i>), a non-listed species that is also endemic to the Upper Klamath Basin. Other recaptures of translocated individuals revealed conflicts in species identification between the two endangered taxa as well. Due to species identification conflicts, we analyzed translocated individuals by cohort (year of translocation) and sex only. Specifically, we documented encounters of translocated individuals at spawning locations and throughout the Upper Klamath Lake watershed, analyzed frequency of return to spawning sites, assessed fidelity to spawning sites, and monitored migration timing over three full years (2015, 2016, and 2017). Remote PIT tag antennas at 11 sites and 5 physical capture locations were part of a monitoring network to re-encounter translocated individuals. In contrast to other years of the study, high flows in the Williamson River in 2017 prevented the installation of a river-wide weir and upstream trap with associated PIT-tag antennas that routinely detect large numbers of tagged fish. As a result, re-encounter probabilities in 2017 were expected to be lower than 2015 and 2016.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191085","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Banet, N.V., and Hewitt, D.A., 2019, Monitoring of endangered Klamath Basin suckers translocated from Lake Ewauna to Upper Klamath Lake, Oregon, 2014−2017: U.S. Geological Survey Open-File Report 2019–1085, 40 p., https://doi.org/10.3133/ofr20191085.","productDescription":"v, 39 p.","onlineOnly":"Y","ipdsId":"IP-097743","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":366745,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1085/coverthb.jpg"},{"id":366746,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1085/ofr20191085.pdf","text":"Report","size":"2.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1085"}],"country":"United States","state":"Oregon","otherGeospatial":"Lake Ewauna, Upper Klamath Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.1240234375,\n              42.1613675328748\n            ],\n            [\n              -121.74224853515625,\n              42.1613675328748\n            ],\n            [\n              -121.74224853515625,\n              42.60970621339408\n            ],\n            [\n              -122.1240234375,\n              42.60970621339408\n            ],\n            [\n              -122.1240234375,\n              42.1613675328748\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wfrc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/wfrc\">Western Fisheries Research Center</a><br>U.S. Geological Survey<br>6505 NE 65th Street<br>Seattle, Washington 98115-5016</p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-08-20","noUsgsAuthors":false,"publicationDate":"2019-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Banet, Nathan V.","contributorId":218249,"corporation":false,"usgs":true,"family":"Banet","given":"Nathan","email":"","middleInitial":"V.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":767433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hewitt, David A. 0000-0002-5387-0275 dhewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-5387-0275","contributorId":3767,"corporation":false,"usgs":false,"family":"Hewitt","given":"David","email":"dhewitt@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":767434,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70237773,"text":"70237773 - 2019 - Potential shifts in zooplankton community structure in response to changing ice regimes and hydrologic connectivity","interactions":[],"lastModifiedDate":"2022-10-25T10:56:40.44597","indexId":"70237773","displayToPublicDate":"2019-08-20T10:36:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Potential shifts in zooplankton community structure in response to changing ice regimes and hydrologic connectivity","docAbstract":"<p><span>Changing Arctic climate may alter freshwater ecosystems as a result of warmer surface waters, longer open-water periods, reduced wintertime lake ice growth, and altered hydrologic connectivity. This study aims to characterize zooplankton community composition and size structure in the context of hydrologic connectivity and ice regimes in Arctic lakes. Between 2011 and 2016, we sampled the phytoplankton, zooplankton, and fish communities from a set of representative lakes on the Arctic Coastal Plain (ACP) of northern Alaska to determine potential food web responses to changing Arctic ecosystems. Multivariate analyses showed that time from ice-out had a strong influence on zooplankton community structure and that seasonal succession of zooplankton differed between lakes with varying hydrologic connectivity. Trends were observed suggesting that large-bodied zooplankton (</span><i>Daphnia</i><span>, calanoid copepods) may be more prevalent in poorly connected lakes with low fish diversity. Large-bodied zooplankton displayed higher biomass in lakes with high occurrences of bedfast ice, while small-bodied zooplankton (</span><i>Bosmina</i><span>, rotifers) displayed highest biomass in deeper lakes with low occurrences of bedfast ice. Our results contribute to limited knowledge of zooplankton in remote lakes of the ACP and suggest that the anticipated changes to aquatic ecosystems in the Arctic may include energetically less efficient plankton food webs.</span></p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/15230430.2019.1643210","usgsCitation":"Beaver, J.R., Arp, C.D., Tausz, C.E., Jones, B.M., Whitman, M.S., Renicker, T.R., Samples, E.E., Ordosch, D.M., and Scotese, K.C., 2019, Potential shifts in zooplankton community structure in response to changing ice regimes and hydrologic connectivity: Arctic, Antarctic, and Alpine Research, v. 51, no. 1, p. 327-345, https://doi.org/10.1080/15230430.2019.1643210.","productDescription":"19 p.","startPage":"327","endPage":"345","ipdsId":"IP-086427","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":467357,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70205022,"text":"70205022 - 2019 - The effects of seasonal temperature and photoperiod manipulation on reproduction in the eastern elliptio Elliptio complanata","interactions":[],"lastModifiedDate":"2019-08-28T10:33:59","indexId":"70205022","displayToPublicDate":"2019-08-20T10:30:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2455,"text":"Journal of Shellfish Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The effects of seasonal temperature and photoperiod manipulation on reproduction in the eastern elliptio <i>Elliptio complanata</i>","title":"The effects of seasonal temperature and photoperiod manipulation on reproduction in the eastern elliptio Elliptio complanata","docAbstract":"<p><span>The eastern elliptio&nbsp;</span><i>Elliptio complanata</i><span>&nbsp;is a species of freshwater mussel common to streams and rivers of the Atlantic Coast. Egg fertilization, larval brooding, and glochidial release are reported to occur within a period of several weeks during early to midsummer. In this study, mussels were exposed to manipulated photoperiod and water temperatures to prolong the availability of glochidia for use in artificial propagation and research. Brooding mussels were collected from Pine Creek, Tioga County, PA, in late December and were housed in groups subjected to one of four environmental treatments: natural temperature and photoperiod, 6-wk delay in natural conditions, 12-wk delay in natural conditions, and natural temperature and photoperiod with a winter low of 10°C. Reproductive activity was monitored for 1 y. Mussels subjected to natural conditions released mature glochidia between 16°C and 19°C with a photoperiod of 15 h of light. Temperature and photoperiod delays of 6 and 12 wk delayed reproduction proportional to the treatment, and constant 10°C winter low temperatures slightly shifted the timing of glochidial release. Survival during the study was high (96%–100%). Data indicate that the seasonal availability of&nbsp;</span><i>E. complanata</i><span>&nbsp;glochidia can be extended 3-fold using photoperiod and temperature manipulation.</span></p>","language":"English","publisher":"BioOne","doi":"10.2983/035.038.0219","usgsCitation":"Blakeslee, C.J., and Lellis, W.A., 2019, The effects of seasonal temperature and photoperiod manipulation on reproduction in the eastern elliptio Elliptio complanata: Journal of Shellfish Research, v. 38, no. 2, p. 379-384, https://doi.org/10.2983/035.038.0219.","productDescription":"6 p.","startPage":"379","endPage":"384","ipdsId":"IP-105915","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":367002,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Blakeslee, Carrie J. 0000-0002-0801-5325 cblakeslee@usgs.gov","orcid":"https://orcid.org/0000-0002-0801-5325","contributorId":5462,"corporation":false,"usgs":true,"family":"Blakeslee","given":"Carrie","email":"cblakeslee@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":769592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lellis, William A. 0000-0001-7806-2904 wlellis@usgs.gov","orcid":"https://orcid.org/0000-0001-7806-2904","contributorId":2369,"corporation":false,"usgs":true,"family":"Lellis","given":"William","email":"wlellis@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":769593,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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