{"pageNumber":"497","pageRowStart":"12400","pageSize":"25","recordCount":68899,"records":[{"id":70203357,"text":"70203357 - 2015 - Modeling and management of pit lake water chemistry 1: Theory","interactions":[],"lastModifiedDate":"2019-05-07T13:27:13","indexId":"70203357","displayToPublicDate":"2015-06-01T13:22:41","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Modeling and management of pit lake water chemistry 1: Theory","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">Pit lakes are permanent hydrologic/landscape features that can result from open pit mining for metals, coal, uranium, diamonds, oil sands, and aggregates. Risks associated with pit lakes include local and regional impacts to water quality and related impacts to aquatic and terrestrial ecosystems. Stakeholders rely on predictive models of water chemistry to prepare for and manage these risks. This paper is the first of a two part series on the modeling and management of pit lakes. Herein, we review approaches that have been used to quantify wall-rock runoff geochemistry, wall-rock leachate geochemistry, pit lake water balance, pit lake limnology (i.e. extent of vertical mixing), and pit lake water quality, and conclude with guidance on the application of models within the mine life cycle. The purpose of this paper is to better prepare stakeholders, including future modelers, mine managers, consultants, permitting agencies, land management agencies, regulators, research scientists, academics, and other interested parties, for the challenges of predicting and managing future pit lakes in un-mined areas.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2014.09.004","usgsCitation":"Castendyk, D., Eary, L., and Balistrieri, L.S., 2015, Modeling and management of pit lake water chemistry 1: Theory: Applied Geochemistry, v. 57, p. 267-288, https://doi.org/10.1016/j.apgeochem.2014.09.004.","productDescription":"22 p.","startPage":"267","endPage":"288","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":363565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Castendyk, D.N.","contributorId":215422,"corporation":false,"usgs":false,"family":"Castendyk","given":"D.N.","affiliations":[],"preferred":false,"id":762289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eary, L.E.","contributorId":215423,"corporation":false,"usgs":false,"family":"Eary","given":"L.E.","email":"","affiliations":[],"preferred":false,"id":762290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":762291,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70148421,"text":"70148421 - 2015 - Targeting Cu–Au and Mo resources using multi-media exploration geochemistry: An example from Tyonek Quadrangle, Alaska Range, Alaska","interactions":[],"lastModifiedDate":"2019-08-13T13:25:07","indexId":"70148421","displayToPublicDate":"2015-06-01T13:16:44","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Targeting Cu–Au and Mo resources using multi-media exploration geochemistry: An example from Tyonek Quadrangle, Alaska Range, Alaska","docAbstract":"<p><span>Regional stream and pond sediment, panned concentrate, and water sampling at and around known mineral occurrences in the Tyonek quadrangle, Alaska Range, Alaska were undertaken to determine geochemical signatures in the different media. For sediment samples, two different size fractions (−</span><span>&nbsp;</span><span>80</span><span>&nbsp;</span><span>mesh and −</span><span>&nbsp;</span><span>230</span><span>&nbsp;</span><span>mesh) were analyzed. Elevated concentrations (mostly</span><span>&nbsp;</span><span>~</span><span>&nbsp;</span><span>2</span><span>&nbsp;</span><span>× median) of elements such as As, Au, Cd, Cu, Mo, Pb, and/or Zn were measured in both size fractions in streams draining known occurrences as well as from several other locations. Gold, molybdenite, arsenopyrite, and/or Cu minerals identified in panned concentrates explain some of these elevated values. Water samples from most stream, pond and seep sediment sample sites were analyzed by high-resolution ICP-MS methodology. Relative high concentrations of constituents (including Mo, Re, As, Tl, and/or Cu and/or SO</span><sub>4</sub><span>) were commonly measured in waters where high metal concentrations were also measured in corresponding sediments and/or heavy mineral concentrates. However, water chemistry yielded higher contrast of upper quartile and anomalous groups relative to median values than observed in sediments. Elevated As, Mo and/or Re probably relate both to deposit mineralogy and the higher solubility of these metals (compared to that of Cu, Pb, Zn) under the predominantly oxidized and near-neutral pH conditions. Our pilot study indicates that, despite large input of snowmelt and very low absolute concentrations (μg/L), water chemistry can be useful for delineating sulfide-bearing mineral occurrences in this region.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2015.05.014","usgsCitation":"Graham, G.E., Taylor, R.D., Lee, G.K., and Tripp, D., 2015, Targeting Cu–Au and Mo resources using multi-media exploration geochemistry: An example from Tyonek Quadrangle, Alaska Range, Alaska: Journal of Geochemical Exploration, v. 157, p. 52-65, https://doi.org/10.1016/j.gexplo.2015.05.014.","productDescription":"14 p.","startPage":"52","endPage":"65","ipdsId":"IP-056638","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":366531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Tyonek Quadrangle","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -152.9901123046875,\n              61.902752284767615\n            ],\n            [\n              -151.28173828125,\n              61.902752284767615\n            ],\n            [\n              -151.28173828125,\n              62.80246795273706\n            ],\n            [\n              -152.9901123046875,\n              62.80246795273706\n            ],\n            [\n              -152.9901123046875,\n              61.902752284767615\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"157","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":548142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Ryan D. 0000-0002-8845-5290 rtaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-8845-5290","contributorId":3412,"corporation":false,"usgs":true,"family":"Taylor","given":"Ryan","email":"rtaylor@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":548143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Gregory K. glee@usgs.gov","contributorId":1220,"corporation":false,"usgs":true,"family":"Lee","given":"Gregory","email":"glee@usgs.gov","middleInitial":"K.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":548144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tripp, Dick","contributorId":141057,"corporation":false,"usgs":false,"family":"Tripp","given":"Dick","email":"","affiliations":[{"id":13665,"text":"USGS contractor (deceased)","active":true,"usgs":false}],"preferred":false,"id":548145,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70155261,"text":"70155261 - 2015 - The leading mode of observed and CMIP5 ENSO-residual sea surface temperatures and associated changes in Indo-Pacific climate","interactions":[],"lastModifiedDate":"2018-03-27T13:00:12","indexId":"70155261","displayToPublicDate":"2015-06-01T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2216,"text":"Journal of Climate","active":true,"publicationSubtype":{"id":10}},"title":"The leading mode of observed and CMIP5 ENSO-residual sea surface temperatures and associated changes in Indo-Pacific climate","docAbstract":"<p>SSTs in the western Pacific Ocean have tracked closely with CMIP5 simulations despite recent hiatus cooling in the eastern Pacific. This paper quantifies these similarities and associated circulation and precipitation variations using the first global 1900&ndash;2012 ENSO-residual empirical orthogonal functions (EOFs) of 35 variables: observed SSTs; 28 CMIP5 SST simulations; Simple Ocean Data Assimilation (SODA) 25-, 70-, and 171-m ocean temperatures and sea surface heights (SSHs); and Twentieth Century Reanalysis, version 2 (20CRv2), surface winds and precipitation.</p>\n<p>While estimated independently, these leading EOFs across all variables fit together in a meaningful way, and the authors refer to them jointly as the west Pacific warming mode (WPWM). WPWM SST EOFs correspond closely in space and time. Their spatial patterns form a &ldquo;western V&rdquo; extending from the Maritime Continent into the extratropical Pacific. Their temporal principal components (PCs) have increased rapidly since 1990; this increase has been primarily due to radiative forcing and not natural decadal variability.</p>\n<p class=\"last\">WPWM circulation changes appear consistent with a Matsuno&ndash;Gill-like atmospheric response associated with an ocean&ndash;atmosphere dipole structure contrasting increased (decreased) western (eastern) Pacific precipitation, SSHs, and ocean temperatures. These changes have enhanced the Walker circulation and modulated weather on a global scale. An AGCM experiment and the WPWM of global boreal spring precipitation indicate significant drying across parts of East Africa, the Middle East, the southwestern United States, southern South America, and Asia. Changes in the WPWM have tracked closely with precipitation and the increase in drought frequency over the semiarid and water-insecure areas of East Africa, the Middle East, and southwest Asia.</p>","language":"English","publisher":"American Meteorological Society","publisherLocation":"Boston, MA","doi":"10.1175/JCLI-D-14-00334.1","usgsCitation":"Funk, C.C., and Hoell. Andrew, 2015, The leading mode of observed and CMIP5 ENSO-residual sea surface temperatures and associated changes in Indo-Pacific climate: Journal of Climate, v. 28, no. 11, p. 4309-4329, https://doi.org/10.1175/JCLI-D-14-00334.1.","productDescription":"21 p.","startPage":"4309","endPage":"4329","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056779","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":306492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"11","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-27","publicationStatus":"PW","scienceBaseUri":"57f7ef1ae4b0bc0bec09eee2","contributors":{"authors":[{"text":"Funk, Christopher C. 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":721,"corporation":false,"usgs":true,"family":"Funk","given":"Christopher","email":"cfunk@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":565415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoell. Andrew","contributorId":145831,"corporation":false,"usgs":false,"family":"Hoell. Andrew","affiliations":[{"id":13549,"text":"UC Santa Barbara Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":565416,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70148616,"text":"70148616 - 2015 - Movement ecology of five Afrotropical waterfowl species from Malawi, Mali and Nigeria","interactions":[],"lastModifiedDate":"2018-02-06T12:41:28","indexId":"70148616","displayToPublicDate":"2015-06-01T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2970,"text":"Ostrich","active":true,"publicationSubtype":{"id":10}},"title":"Movement ecology of five Afrotropical waterfowl species from Malawi, Mali and Nigeria","docAbstract":"<p>Habitat availability for Afrotropical waterbirds is highly dynamic with unpredictable rainfall patterns and ephemeral wetlands resulting in diverse movement strategies among different species. Movement strategies among waterfowl encompass resident, regional and intercontinental migrants, but little quantitative information exists on their specific movement patterns. We studied the movement ecology of five Afrotropical waterfowl species marked with satellite transmitters in Malawi, Mali and Nigeria. Resident species, including White-faced Whistling Ducks Dendrocygna viduata, Fulvous Whistling Ducks Dendrocygna bicolor and Spur-winged Geese Plectropterus gambensis, remained sedentary during the rainy season and only flew limited distances during other months. In contrast, Knob-billed Ducks Sarkidiornis melanotos made short regional movements &gt;50 km in all months and showed little site fidelity to previously used habitats in subsequent years. Garganey Anas quequedula followed an intercontinental strategy and made long-distance jumps across the Sahara and Mediterranean to their Eurasian breeding grounds. Most species flew farthest during the dry season, as mean daily movements varied from 1.5 to 14.2 km and was greatest in the winter months (January-March). Total distance moved varied from 9.5 km for White-faced Whistling Ducks (October-December) to 45.6 km for Knob-billed Ducks (April-June). Nomadic behaviour by Knob-billed Ducks was evidenced by long exploratory flights, but small mean daily movements suggested that they were relying on previous experience. Improving our understanding of these movement strategies increases our ability to assess connectivity of wetland resources that support waterfowl throughout their annual cycle and focuses conservation efforts on their most important habitats.</p>","language":"English","publisher":"Taylor & Francis","publisherLocation":"London","doi":"10.2989/00306525.2015.1033773","usgsCitation":"Takekawa, J.Y., Heath, S., Iverson, S.R., Gaidet, N., Cappelle, J., Dodman, T., Hagemeijer, W., Eldridge, W., Petrie, S.A., Yarris, G., Manu, S., Olsen, G.H., Prosser, D.J., Spragens, K.A., Douglas, D.C., and Newman, S.H., 2015, Movement ecology of five Afrotropical waterfowl species from Malawi, Mali and Nigeria: Ostrich, v. 86, no. 1-2, p. 155-168, https://doi.org/10.2989/00306525.2015.1033773.","productDescription":"14 p.","startPage":"155","endPage":"168","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063584","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":305717,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Malawi, Mali, Nigeria","otherGeospatial":"Hadejia-Nguru Wetlands, Inner Niger Delta, Lake Chad Basin, Lake Chilwa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              33.782958984375,\n              -14.519780046326073\n            ],\n            [\n              33.782958984375,\n              -9.308148692484803\n            ],\n            [\n              35.39794921875,\n              -9.308148692484803\n            ],\n            [\n              35.39794921875,\n              -14.519780046326073\n            ],\n            [\n              33.782958984375,\n              -14.519780046326073\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -4.74609375,\n              14.668625907385902\n            ],\n            [\n              -4.74609375,\n              16.804541076383455\n            ],\n            [\n              -2.48291015625,\n              16.804541076383455\n            ],\n            [\n              -2.48291015625,\n              14.668625907385902\n            ],\n            [\n              -4.74609375,\n              14.668625907385902\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              13.38134765625,\n              12.618897304044024\n            ],\n            [\n              13.38134765625,\n              13.27202630119995\n            ],\n            [\n              14.765625,\n              13.27202630119995\n            ],\n            [\n              14.765625,\n              12.618897304044024\n            ],\n            [\n              13.38134765625,\n              12.618897304044024\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"86","issue":"1-2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-15","publicationStatus":"PW","scienceBaseUri":"55a632abe4b0183d66e45cc9","contributors":{"authors":[{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":548893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heath, Shane R.","contributorId":72263,"corporation":false,"usgs":true,"family":"Heath","given":"Shane R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":548894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iverson, S. R. L.","contributorId":48437,"corporation":false,"usgs":true,"family":"Iverson","given":"S.","email":"","middleInitial":"R. L.","affiliations":[],"preferred":false,"id":548895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaidet, Nicolas","contributorId":37601,"corporation":false,"usgs":true,"family":"Gaidet","given":"Nicolas","email":"","affiliations":[],"preferred":false,"id":548899,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cappelle, Julien","contributorId":71440,"corporation":false,"usgs":true,"family":"Cappelle","given":"Julien","email":"","affiliations":[],"preferred":false,"id":548900,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dodman, Tim","contributorId":59706,"corporation":false,"usgs":true,"family":"Dodman","given":"Tim","email":"","affiliations":[],"preferred":false,"id":548901,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hagemeijer, Ward","contributorId":96406,"corporation":false,"usgs":true,"family":"Hagemeijer","given":"Ward","email":"","affiliations":[],"preferred":false,"id":548902,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eldridge, William D.","contributorId":36808,"corporation":false,"usgs":true,"family":"Eldridge","given":"William D.","affiliations":[],"preferred":false,"id":548903,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Petrie, Scott A.","contributorId":141223,"corporation":false,"usgs":false,"family":"Petrie","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":13717,"text":"Long Point Waterfowl","active":true,"usgs":false}],"preferred":false,"id":548904,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yarris, Gregory S.","contributorId":115361,"corporation":false,"usgs":true,"family":"Yarris","given":"Gregory S.","affiliations":[],"preferred":false,"id":548905,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Manu, Shiiwua","contributorId":141224,"corporation":false,"usgs":false,"family":"Manu","given":"Shiiwua","email":"","affiliations":[{"id":13718,"text":"AP Levantis Ornithological Research Institute","active":true,"usgs":false}],"preferred":false,"id":548906,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Olsen, Glenn H. 0000-0002-7188-6203 golsen@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-6203","contributorId":40918,"corporation":false,"usgs":true,"family":"Olsen","given":"Glenn","email":"golsen@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":548907,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":548896,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Spragens, Kyle A. kspragens@usgs.gov","contributorId":5775,"corporation":false,"usgs":true,"family":"Spragens","given":"Kyle","email":"kspragens@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":548897,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":548898,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Newman, Scott H.","contributorId":101372,"corporation":false,"usgs":true,"family":"Newman","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":548908,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70148566,"text":"70148566 - 2015 - Potential effects of climate change on the growth of fishes from different thermal guilds in Lakes Michigan and Huron","interactions":[],"lastModifiedDate":"2015-07-10T13:24:36","indexId":"70148566","displayToPublicDate":"2015-06-01T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Potential effects of climate change on the growth of fishes from different thermal guilds in Lakes Michigan and Huron","docAbstract":"<p>We used a bioenergetics modeling approach to investigate potential effects of climate change on the growth of two economically important native fishes: yellow perch (<i>Perca flavescens</i>), a cool-water fish, and lake whitefish (<i>Coregonus clupeaformis</i>), a cold-water fish, in deep and oligotrophic Lakes Michigan and Huron. For assessing potential changes in fish growth, we contrasted simulated fish growth in the projected future climate regime during the period 2043-2070 under different prey availability scenarios with the simulated growth during the baseline (historical reference) period 1964-1993. Results showed that effects of climate change on the growth of these two fishes are jointly controlled by behavioral thermoregulation and prey availability. With the ability of behavioral thermoregulation, temperatures experienced by yellow perch in the projected future climate regime increased more than those experienced by lake whitefish. Thus simulated future growth decreased more for yellow perch than for lake whitefish under scenarios where prey availability remains constant into the future. Under high prey availability scenarios, simulated future growth of these two fishes both increased but yellow perch could not maintain the baseline efficiency of converting prey consumption into body weight. We contended that thermal guild should not be the only factor used to predict effects of climate change on the growth of a fish, and that ecosystem responses to climate change should be also taken into account.</p>","language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Toronto","doi":"10.1016/j.jglr.2015.03.012","usgsCitation":"Kao, Y., Madenjian, C.P., Bunnell, D., Lofgren, B.M., and Perroud, M., 2015, Potential effects of climate change on the growth of fishes from different thermal guilds in Lakes Michigan and Huron: Journal of Great Lakes Research, v. 41, no. 2, p. 423-435, https://doi.org/10.1016/j.jglr.2015.03.012.","productDescription":"13 p.","startPage":"423","endPage":"435","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052585","costCenters":[{"id":324,"text":"Great Lakes Science 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,{"id":70148564,"text":"70148564 - 2015 - Predicting alpine headwater stream intermittency: a case study in the northern Rocky Mountains","interactions":[],"lastModifiedDate":"2015-09-16T09:26:57","indexId":"70148564","displayToPublicDate":"2015-06-01T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3892,"text":"Ecohydrology & Hydrobiology","active":true,"publicationSubtype":{"id":10}},"title":"Predicting alpine headwater stream intermittency: a case study in the northern Rocky Mountains","docAbstract":"<p>This investigation used climatic, geological, and environmental data coupled with observational stream intermittency data to predict alpine headwater stream intermittency. Prediction was made using a random forest classification model. Results showed that the most important variables in the prediction model were snowpack persistence, represented by average snow extent from March through July, mean annual mean monthly minimum temperature, and surface geology types. For stream catchments with intermittent headwater streams, snowpack, on average, persisted until early June, whereas for stream catchments with perennial headwater streams, snowpack, on average, persisted until early July. Additionally, on average, stream catchments with intermittent headwater streams were about 0.7 &deg;C warmer than stream catchments with perennial headwater streams. Finally, headwater stream catchments primarily underlain by coarse, permeable sediment are significantly more likely to have intermittent headwater streams than those primarily underlain by impermeable bedrock. Comparison of the predicted streamflow classification with observed stream status indicated a four percent classification error for first-order streams and a 21 percent classification error for all stream orders in the study area.</p>","language":"English","publisher":"International Centre for Ecology","publisherLocation":"Warsaw","doi":"10.1016/j.ecohyd.2015.04.002","usgsCitation":"Sando, R., and Blasch, K.W., 2015, Predicting alpine headwater stream intermittency: a case study in the northern Rocky Mountains: Ecohydrology & Hydrobiology, v. 15, no. 2, p. 68-80, https://doi.org/10.1016/j.ecohyd.2015.04.002.","productDescription":"13 p.","startPage":"68","endPage":"80","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052878","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":301221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557ff73ae4b023124e8ef98a","contributors":{"authors":[{"text":"Sando, Roy 0000-0003-0704-6258","orcid":"https://orcid.org/0000-0003-0704-6258","contributorId":3874,"corporation":false,"usgs":true,"family":"Sando","given":"Roy","email":"","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":548640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blasch, Kyle W. 0000-0002-0590-0724 kblasch@usgs.gov","orcid":"https://orcid.org/0000-0002-0590-0724","contributorId":1631,"corporation":false,"usgs":true,"family":"Blasch","given":"Kyle","email":"kblasch@usgs.gov","middleInitial":"W.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548641,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70148400,"text":"70148400 - 2015 - Biodynamics of copper oxide nanoparticles and copper ions in an oligochaete: Part I: relative importance of water and sediment as exposure routes","interactions":[],"lastModifiedDate":"2018-09-04T16:24:31","indexId":"70148400","displayToPublicDate":"2015-06-01T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":874,"text":"Aquatic Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Biodynamics of copper oxide nanoparticles and copper ions in an oligochaete: Part I: relative importance of water and sediment as exposure routes","docAbstract":"<p>Copper oxide (CuO) nanoparticles (NPs) are widely used, and likely released into the aquatic environment. Both aqueous (i.e., dissolved Cu) and particulate Cu can be taken up by organisms. However, how exposure routes influence the bioavailability and subsequent toxicity of Cu remains largely unknown. Here, we assess the importance of exposure routes (water and sediment) and Cu forms (aqueous and nanoparticulate) on Cu bioavailability and toxicity to the freshwater oligochaete, <i>Lumbriculus variegatus</i>, a head-down deposit-feeder. We characterize the bioaccumulation dynamics of Cu in <i>L. variegatus</i> across a range of exposure concentrations, covering both realistic and worst-case levels of Cu contamination in the environment. Both aqueous Cu (Cu-Aq; administered as Cu(NO<sub>3</sub>)<sub>2</sub>) and nanoparticulate Cu (CuO NPs), whether dispersed in artificial moderately hard freshwater or mixed into sediment, were weakly accumulated by <i>L. variegatus</i>. Once incorporated into tissues, Cu elimination was negligible, i.e., elimination rate constants were in general not different from zero for either exposure route or either Cu form. Toxicity was only observed after waterborne exposure to Cu-Aq at very high concentration (305 &micro;gL<sup>-1</sup>), where all worms died. There was no relationship between exposure route, Cu form or Cu exposure concentration on either worm survival or growth. Slow feeding rates and low Cu assimilation efficiency (approximately 30%) characterized the uptake of Cu from the sediment for both Cu forms. In nature, <i>L. variegatus</i> is potentially exposed to Cu via both water and sediment. However, sediment progressively becomes the predominant exposure route for Cu in <i>L. variegatus</i> as Cu partitioning to sediment increases.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.aquatox.2015.04.022","usgsCitation":"Ramskov, T., Thit, A., Croteau, M.N., and Selck, H., 2015, Biodynamics of copper oxide nanoparticles and copper ions in an oligochaete: Part I: relative importance of water and sediment as exposure routes: Aquatic Toxicology, v. 164, p. 81-91, https://doi.org/10.1016/j.aquatox.2015.04.022.","productDescription":"11 p.","startPage":"81","endPage":"91","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061794","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":300967,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"164","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"556ed3b7e4b0d9246a9fa7c7","contributors":{"authors":[{"text":"Ramskov, Tina","contributorId":140202,"corporation":false,"usgs":false,"family":"Ramskov","given":"Tina","email":"","affiliations":[{"id":13410,"text":"Department of Environmental, Social and Spatial Change, Roskilde University, PO Box 260, Universitetsvej 1, DK-4000 Roskilde, Denmark","active":true,"usgs":false}],"preferred":false,"id":547998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thit, Amalie","contributorId":141022,"corporation":false,"usgs":false,"family":"Thit","given":"Amalie","email":"","affiliations":[{"id":13657,"text":"Department of Environmental, Social and Spatial Change, Roskilde University, Denmark","active":true,"usgs":false}],"preferred":false,"id":547999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":547997,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Selck, Henriette","contributorId":28475,"corporation":false,"usgs":false,"family":"Selck","given":"Henriette","affiliations":[{"id":13410,"text":"Department of Environmental, Social and Spatial Change, Roskilde University, PO Box 260, Universitetsvej 1, DK-4000 Roskilde, Denmark","active":true,"usgs":false}],"preferred":false,"id":548000,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148545,"text":"70148545 - 2015 - Nearshore dynamics of artificial sand and oil agglomerates","interactions":[],"lastModifiedDate":"2015-06-12T09:41:14","indexId":"70148545","displayToPublicDate":"2015-06-01T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Nearshore dynamics of artificial sand and oil agglomerates","docAbstract":"<p>Weathered oil can mix with sediment to form heavier-than-water sand and oil agglomerates (SOAs) that can cause beach re-oiling for years after a spill. Few studies have focused on the physical dynamics of SOAs. In this study, artificial SOAs (aSOAs) were created and deployed in the nearshore, and shear stress-based mobility formulations were assessed to predict SOA response. Prediction sensitivity to uncertainty in hydrodynamic conditions and shear stress parameterizations were explored. Critical stress estimates accounting for large particle exposure in a mixed bed gave the best predictions of mobility under shoaling and breaking waves. In the surf zone, the 10-cm aSOA was immobile and began to bury in the seafloor while smaller size classes dispersed alongshore. aSOAs up to 5 cm in diameter were frequently mobilized in the swash zone. The uncertainty in predicting aSOA dynamics reflects a broader uncertainty in applying mobility and transport formulations to cm-sized particles.</p>","language":"English","publisher":"International Conference on the Environmental Management of Enclosed Coastal Seas","publisherLocation":"London, England","doi":"10.1016/j.marpolbul.2015.04.049","usgsCitation":"Dalyander, P.S., Plant, N.G., Long, J.W., and McLaughlin, M.R., 2015, Nearshore dynamics of artificial sand and oil agglomerates: Marine Pollution Bulletin, v. 96, no. 1-2, p. 344-355, https://doi.org/10.1016/j.marpolbul.2015.04.049.","productDescription":"12 p.","startPage":"344","endPage":"355","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065022","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":438692,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Z2XFRJ","text":"USGS data release","linkHelpText":"Laboratory Observations of Variable Size and Shape Particles: Artificial Sand and Oil Agglomerates"},{"id":301185,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"1-2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557c02d9e4b023124e8edf2c","contributors":{"authors":[{"text":"Dalyander, P. Soupy 0000-0001-9583-0872 sdalyander@usgs.gov","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":141015,"corporation":false,"usgs":true,"family":"Dalyander","given":"P.","email":"sdalyander@usgs.gov","middleInitial":"Soupy","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":548559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":548560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, Joseph W. 0000-0003-2912-1992 jwlong@usgs.gov","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":3303,"corporation":false,"usgs":true,"family":"Long","given":"Joseph","email":"jwlong@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":548561,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McLaughlin, Molly R. 0000-0001-6962-6392 mmclaughlin@usgs.gov","orcid":"https://orcid.org/0000-0001-6962-6392","contributorId":4089,"corporation":false,"usgs":true,"family":"McLaughlin","given":"Molly","email":"mmclaughlin@usgs.gov","middleInitial":"R.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":548562,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148546,"text":"70148546 - 2015 - High-frequency, long-duration water sampling in acid mine drainage studies: a short review of current methods and recent advances in automated water samplers","interactions":[],"lastModifiedDate":"2015-06-12T09:37:16","indexId":"70148546","displayToPublicDate":"2015-06-01T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"High-frequency, long-duration water sampling in acid mine drainage studies: a short review of current methods and recent advances in automated water samplers","docAbstract":"<p>Hand-collected grab samples are the most common water sampling method but using grab sampling to monitor temporally variable aquatic processes such as diel metal cycling or episodic events is rarely feasible or cost-effective. Currently available automated samplers are a proven, widely used technology and typically collect up to 24 samples during a deployment. However, these automated samplers are not well suited for long-term sampling in remote areas or in freezing conditions. There is a critical need for low-cost, long-duration, high-frequency water sampling technology to improve our understanding of the geochemical response to temporally variable processes. This review article will examine recent developments in automated water sampler technology and utilize selected field data from acid mine drainage studies to illustrate the utility of high-frequency, long-duration water sampling.</p>","language":"English","publisher":"International Association of Geochemistry and Cosmochemistry","publisherLocation":"New York, NY","doi":"10.1016/j.apgeochem.2015.04.004","usgsCitation":"Chapin, T., 2015, High-frequency, long-duration water sampling in acid mine drainage studies: a short review of current methods and recent advances in automated water samplers: Applied Geochemistry, v. 59, p. 118-124, https://doi.org/10.1016/j.apgeochem.2015.04.004.","productDescription":"7 p.","startPage":"118","endPage":"124","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054825","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":472043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2015.04.004","text":"Publisher Index Page"},{"id":301184,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557c02d2e4b023124e8edf21","chorus":{"doi":"10.1016/j.apgeochem.2015.04.004","url":"http://dx.doi.org/10.1016/j.apgeochem.2015.04.004","publisher":"Elsevier BV","authors":"Chapin Thomas P.","journalName":"Applied Geochemistry","publicationDate":"8/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Chapin, Thomas 0000-0001-6587-0734 tchapin@usgs.gov","orcid":"https://orcid.org/0000-0001-6587-0734","contributorId":758,"corporation":false,"usgs":true,"family":"Chapin","given":"Thomas","email":"tchapin@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":548566,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70148412,"text":"70148412 - 2015 - Characteristics of storms driving wave-induced seafloor mobility on the U.S. East Coast continental shelf","interactions":[],"lastModifiedDate":"2015-06-02T09:48:13","indexId":"70148412","displayToPublicDate":"2015-06-01T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Characteristics of storms driving wave-induced seafloor mobility on the U.S. East Coast continental shelf","docAbstract":"<p>This study investigates the relationship between spatial and temporal patterns of wave-driven sediment mobility events on the U.S. East Coast continental shelf and the characteristics of the storms responsible for them. Mobility events, defined as seafloor wave stress exceedance of the critical stress of 0.35 mm diameter sand (0.2160 Pa) for 12 or more hours, were identified from surface wave observations at National Data Buoy Center buoys in the Middle Atlantic Bight (MAB) and South Atlantic Bight (SAB) over the period of 1997-2007. In water depths ranging from 36-48 m, there were 4-9 mobility events/year of 1-2 days duration. Integrated wave stress during events (IWAVES) was used as a combined metric of wave-driven mobility intensity and duration. In the MAB, over 67% of IWAVES was caused by extratropical storms, while in the SAB, greater than 66% of IWAVES was caused by tropical storms. On average, mobility events were caused by waves generated by storms located 800+ km away. Far-field hurricanes generated swell 2-4 days before the waves caused mobility on the shelf. Throughout most of the SAB, mobility events were driven by storms to the south, east, and west. In the MAB and near Cape Hatteras, winds from more northerly storms and low-pressure extratropical systems in the mid-western U.S. also drove mobility events. Waves generated by storms off the SAB generated mobility events along the entire U.S. East Coast shelf north to Cape Cod, while Cape Hatteras shielded the SAB area from swell originating to the north offshore of the MAB.</p>","language":"English","publisher":"North Pacific Marine Science Organization","publisherLocation":"New York, NY","doi":"10.1016/j.csr.2015.05.003","usgsCitation":"Dalyander, P.S., and Butman, B., 2015, Characteristics of storms driving wave-induced seafloor mobility on the U.S. East Coast continental shelf: Continental Shelf Research, v. 104, p. 1-14, https://doi.org/10.1016/j.csr.2015.05.003.","productDescription":"14 p.","startPage":"1","endPage":"14","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062841","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472042,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.csr.2015.05.003","text":"Publisher Index Page"},{"id":300965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"104","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"556ed3b8e4b0d9246a9fa7cc","chorus":{"doi":"10.1016/j.csr.2015.05.003","url":"http://dx.doi.org/10.1016/j.csr.2015.05.003","publisher":"Elsevier BV","authors":"Dalyander P. Soupy, Butman Bradford","journalName":"Continental Shelf Research","publicationDate":"8/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Dalyander, P. Soupy 0000-0001-9583-0872 sdalyander@usgs.gov","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":141015,"corporation":false,"usgs":true,"family":"Dalyander","given":"P.","email":"sdalyander@usgs.gov","middleInitial":"Soupy","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":548062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butman, Bradford 0000-0002-4174-2073 bbutman@usgs.gov","orcid":"https://orcid.org/0000-0002-4174-2073","contributorId":943,"corporation":false,"usgs":true,"family":"Butman","given":"Bradford","email":"bbutman@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":548063,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70148401,"text":"70148401 - 2015 - Enhanced biological processes associated with alopecia in polar bears (<i>Ursus maritimus</i>)","interactions":[],"lastModifiedDate":"2015-06-02T09:45:59","indexId":"70148401","displayToPublicDate":"2015-06-01T10:45:00","publicationYear":"2015","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":"Enhanced biological processes associated with alopecia in polar bears (<i>Ursus maritimus</i>)","docAbstract":"<p>Populations of wildlife species worldwide experience incidents of mass morbidity and mortality. Primary or secondary drivers of these events may escape classical detection methods for identifying microbial insults, toxin exposure, or additional stressors. In 2012, 28% of polar bears sampled in a study in the southern Beaufort Sea region of Alaska had varying degrees of alopecia that was concomitant with reduced body condition. Concurrently, elevated numbers of sick or dead ringed seals were detected in the southern Beaufort, Chukchi, and Bering seas in 2012, resulting in the declaration of an unusual mortality event (UME) by the National Oceanic and Atmospheric Administration (NOAA). The primary and possible ancillary causative stressors of these events are unknown, and related physiological changes within individual animals have been undetectable using classical diagnostic methods. Here we present an emerging technology as a potentially guiding investigative approach aimed at elucidating the circumstances responsible for the susceptibility of certain polar bears to observed conditions. Using transcriptomic analysis we identified enhanced biological processes including immune response, viral defense, and response to stress in polar bears with alopecia. Our results support an alternative mechanism of investigation into the causative agents that, when used proactively, could serve as an early indicator for populations and species at risk. We suggest that current or classical methods for investigation into events of unusual morbidity and mortality can be costly, sometimes unfocused, and often inconclusive. Advances in technology allow for implementation of a holistic system of surveillance and investigation that could provide early warning of health concerns in wildlife species important to humans.</p>","language":"English","publisher":"Elsevier Pub. Co.","publisherLocation":"Amsterdam","doi":"10.1016/j.scitotenv.2015.05.039","usgsCitation":"Bowen, L., Miles, A.K., Stott, J.L., Waters-Dynes, S.C., and Atwood, T.C., 2015, Enhanced biological processes associated with alopecia in polar bears (<i>Ursus maritimus</i>): Science of the Total Environment, v. 529, p. 114-120, https://doi.org/10.1016/j.scitotenv.2015.05.039.","productDescription":"7 p.","startPage":"114","endPage":"120","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065435","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":472041,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2015.05.039","text":"Publisher Index Page"},{"id":300964,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"529","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"556ed3bae4b0d9246a9fa7d1","chorus":{"doi":"10.1016/j.scitotenv.2015.05.039","url":"http://dx.doi.org/10.1016/j.scitotenv.2015.05.039","publisher":"Elsevier BV","authors":"Bowen Lizabeth, Keith Miles A., Stott Jeffrey, Waters Shannon, Atwood Todd","journalName":"Science of The Total Environment","publicationDate":"10/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miles, A. Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stott, Jeffrey L.","contributorId":82146,"corporation":false,"usgs":true,"family":"Stott","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":548003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waters-Dynes, Shannon C. 0000-0002-9707-4684 swaters@usgs.gov","orcid":"https://orcid.org/0000-0002-9707-4684","contributorId":5826,"corporation":false,"usgs":true,"family":"Waters-Dynes","given":"Shannon","email":"swaters@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548004,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":548005,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70148462,"text":"70148462 - 2015 - Unintended consequences of management actions in salt pond restoration: cascading effects in trophic interactions","interactions":[],"lastModifiedDate":"2018-09-04T15:41:19","indexId":"70148462","displayToPublicDate":"2015-06-01T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Unintended consequences of management actions in salt pond restoration: cascading effects in trophic interactions","docAbstract":"<p>Salt evaporation ponds have played an important role as habitat for migratory waterbirds across the world, however, efforts to restore and manage these habitats to maximize their conservation value has proven to be challenging. For example, salinity reduction has been a goal for restoring and managing former salt evaporation ponds to support waterbirds in the South Bay Salt Pond Restoration Project in San Francisco Bay, California, USA. Here, we describe a case study of unexpected consequences of a low-dissolved oxygen (DO) event on trophic interactions in a salt pond system following management actions to reduce salinity concentrations. We document the ramifications of an anoxic event in water quality including salinity, DO, and temperature, and in the response of the biota including prey fish biomass, numerical response by California Gulls (Larus californicus), and chick survival of Forster's Tern (Sterna forsteri). Management actions intended to protect receiving waters resulted in decreased DO concentrations that collapsed to zero for &ge; 4 consecutive days, resulting in an extensive fish kill. DO depletion likely resulted from an algal bloom that arose following transition of the pond system from high to low salinity as respiration and decomposition outpaced photosynthetic production. We measured a &ge; 6-fold increase in biomass of fish dropped on the levee by foraging avian predators compared with weeks prior to and following the low-DO event. California Gulls rapidly responded to the availability of aerobically-stressed and vulnerable fish and increased in abundance by two orders of magnitude. Mark-recapture analysis of 254 Forster's Tern chicks indicated that their survival declined substantially following the increase in gull abundance. Thus, management actions to reduce salinity concentrations resulted in cascading effects in trophic interactions that serves as a cautionary tale illustrating the importance of understanding the interaction of water quality and trophic structure when managing restoration of salt ponds.</p>","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0119345","usgsCitation":"Takekawa, J.Y., Ackerman, J., Brand, A., Graham, T.R., Eagles-Smith, C.A., Herzog, M.P., Topping, B.R., Shellenbarger, G., Kuwabara, J.S., Mruz, E., Piotter, S.L., and Athearn, N.D., 2015, Unintended consequences of management actions in salt pond restoration: cascading effects in trophic interactions: PLoS ONE, v. 10, no. 6, p. 1-15, https://doi.org/10.1371/journal.pone.0119345.","productDescription":"15 p.","startPage":"1","endPage":"15","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051529","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":472045,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0119345","text":"Publisher Index Page"},{"id":301088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-01","publicationStatus":"PW","scienceBaseUri":"55780e32e4b032353cbeb6fb","contributors":{"authors":[{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":548317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":548318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brand, Arriana","contributorId":138613,"corporation":false,"usgs":false,"family":"Brand","given":"Arriana","email":"","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":false,"id":548319,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graham, Tanya R. 0000-0002-4606-6721 tgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-4606-6721","contributorId":4771,"corporation":false,"usgs":true,"family":"Graham","given":"Tanya","email":"tgraham@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":548321,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548322,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Topping, Brent R. 0000-0002-7887-4221 btopping@usgs.gov","orcid":"https://orcid.org/0000-0002-7887-4221","contributorId":1484,"corporation":false,"usgs":true,"family":"Topping","given":"Brent","email":"btopping@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":548323,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shellenbarger, Gregory gshellen@usgs.gov","contributorId":1133,"corporation":false,"usgs":true,"family":"Shellenbarger","given":"Gregory","email":"gshellen@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":548324,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kuwabara, James S. 0000-0003-2502-1601 kuwabara@usgs.gov","orcid":"https://orcid.org/0000-0003-2502-1601","contributorId":3374,"corporation":false,"usgs":true,"family":"Kuwabara","given":"James","email":"kuwabara@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548325,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mruz, Eric","contributorId":141086,"corporation":false,"usgs":false,"family":"Mruz","given":"Eric","email":"","affiliations":[{"id":13673,"text":"Don Edwards San Francisco Bay National Wildlife Refuge, USFWS","active":true,"usgs":false}],"preferred":false,"id":548326,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Piotter, Sara L.","contributorId":141087,"corporation":false,"usgs":false,"family":"Piotter","given":"Sara","email":"","middleInitial":"L.","affiliations":[{"id":12611,"text":"USGS WERC, Las Vegas Field Station","active":true,"usgs":false}],"preferred":false,"id":548327,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Athearn, Nicole D.","contributorId":71273,"corporation":false,"usgs":true,"family":"Athearn","given":"Nicole","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":548328,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70148720,"text":"70148720 - 2015 - Evaluating unsupervised methods to size and classify suspended particles using digital in-line holography","interactions":[],"lastModifiedDate":"2015-06-22T09:33:51","indexId":"70148720","displayToPublicDate":"2015-06-01T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2186,"text":"Journal of Atmospheric and Oceanic Technology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating unsupervised methods to size and classify suspended particles using digital in-line holography","docAbstract":"<p>Substantial information can be gained from digital in-line holography of marine particles, eliminating depth-of-field and focusing errors associated with standard lens-based imaging methods. However, for the technique to reach its full potential in oceanographic research, fully unsupervised (automated) methods are required for focusing, segmentation, sizing and classification of particles. These computational challenges are the subject of this paper, in which we draw upon data collected using a variety of holographic systems developed at Plymouth University, UK, from a significant range of particle types, sizes and shapes. A new method for noise reduction in reconstructed planes is found to be successful in aiding particle segmentation and sizing. The performance of an automated routine for deriving particle characteristics (and subsequent size distributions) is evaluated against equivalent size metrics obtained by a trained operative measuring grain axes on screen. The unsupervised method is found to be reliable, despite some errors resulting from over-segmentation of particles. A simple unsupervised particle classification system is developed, and is capable of successfully differentiating sand grains, bubbles and diatoms from within the surf-zone. Avoiding miscounting bubbles and biological particles as sand grains enables more accurate estimates of sand concentrations, and is especially important in deployments of particle monitoring instrumentation in aerated water. Perhaps the greatest potential for further development in the computational aspects of particle holography is in the area of unsupervised particle classification. The simple method proposed here provides a foundation upon which further development could lead to reliable identification of more complex particle populations, such as those containing phytoplankton, zooplankton, flocculated cohesive sediments and oil droplets.</p>","language":"English","publisher":"American Meteorological Society","publisherLocation":"Boston, MA","doi":"10.1175/JTECH-D-14-00157.1","usgsCitation":"Davies, E.J., Buscombe, D.D., Graham, G.W., and Nimmo-Smith, W.A., 2015, Evaluating unsupervised methods to size and classify suspended particles using digital in-line holography: Journal of Atmospheric and Oceanic Technology, v. 32, no. 6, p. 1241-1256, https://doi.org/10.1175/JTECH-D-14-00157.1.","productDescription":"16 p.","startPage":"1241","endPage":"1256","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059230","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488748,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10026.1/3758","text":"External Repository"},{"id":301400,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558931bee4b0b6d21dd61bdc","contributors":{"authors":[{"text":"Davies, Emlyn J.","contributorId":141257,"corporation":false,"usgs":false,"family":"Davies","given":"Emlyn","email":"","middleInitial":"J.","affiliations":[{"id":13725,"text":"Dept. of Environmental Technology, SINTEF Materials and Chemistry, Norway","active":true,"usgs":false}],"preferred":false,"id":549098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buscombe, Daniel D. 0000-0001-6217-5584 dbuscombe@usgs.gov","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":5020,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","email":"dbuscombe@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":549097,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, George W.","contributorId":141258,"corporation":false,"usgs":false,"family":"Graham","given":"George","email":"","middleInitial":"W.","affiliations":[{"id":13726,"text":"Sir Alister Hardy Foundation for Ocean Science, Plymouth UK","active":true,"usgs":false}],"preferred":false,"id":549099,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nimmo-Smith, W. Alex M.","contributorId":141259,"corporation":false,"usgs":false,"family":"Nimmo-Smith","given":"W.","email":"","middleInitial":"Alex M.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":549100,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148554,"text":"70148554 - 2015 - Computational fluid dynamics-habitat suitability index (CFD-HSI) modelling as an exploratory tool for assessing passability of riverine migratory challenge zones for fish","interactions":[],"lastModifiedDate":"2015-06-12T09:17:06","indexId":"70148554","displayToPublicDate":"2015-06-01T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Computational fluid dynamics-habitat suitability index (CFD-HSI) modelling as an exploratory tool for assessing passability of riverine migratory challenge zones for fish","docAbstract":"<p>We developed two-dimensional computational fluid hydraulics-habitat suitability index (CFD-HSI) models to identify and qualitatively assess potential zones of shallow water depth and high water velocity that may present passage challenges for five major anadromous fish species in a 2.63-km reach of the main stem Penobscot River, Maine, as a result of a dam removal downstream of the reach. Suitability parameters were based on distribution of fish lengths and body depths and transformed to cruising, maximum sustained and sprint swimming speeds. Zones of potential depth and velocity challenges were calculated based on the hydraulic models; ability of fish to pass a challenge zone was based on the percent of river channel that the contiguous zone spanned and its maximum along-current length. Three river flows (low: 99.1 m<sup>3</sup> sec<sup>-1</sup>; normal: 344.9 m<sup>3</sup> sec<sup>-1</sup>; and high: 792.9 m<sup>3</sup> sec<sup>-1</sup>) were modelled to simulate existing hydraulic conditions and hydraulic conditions simulating removal of a dam at the downstream boundary of the reach. Potential depth challenge zones were nonexistent for all low-flow simulations of existing conditions for deeper-bodied fishes. Increasing flows for existing conditions and removal of the dam under all flow conditions increased the number and size of potential velocity challenge zones, with the effects of zones being more pronounced for smaller species. The two-dimensional CFD-HSI model has utility in demonstrating gross effects of flow and hydraulic alteration, but may not be as precise a predictive tool as a three-dimensional model. Passability of the potential challenge zones cannot be precisely quantified for two-dimensional or three-dimensional models due to untested assumptions and incomplete data on fish swimming performance and behaviours.</p>","language":"English","publisher":"John Wiley & Sons","publisherLocation":"Chichester, West Sussex, UK","doi":"10.1002/rra.2911","usgsCitation":"Haro, A.J., Chelminski, M., and Dudley, R.W., 2015, Computational fluid dynamics-habitat suitability index (CFD-HSI) modelling as an exploratory tool for assessing passability of riverine migratory challenge zones for fish: River Research and Applications, v. 31, no. 5, p. 526-537, https://doi.org/10.1002/rra.2911.","productDescription":"12 p.","startPage":"526","endPage":"537","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049212","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":301180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-08","publicationStatus":"PW","scienceBaseUri":"557c02c5e4b023124e8edf09","contributors":{"authors":[{"text":"Haro, Alexander J. 0000-0002-7188-9172 aharo@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-9172","contributorId":2917,"corporation":false,"usgs":true,"family":"Haro","given":"Alexander","email":"aharo@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":548605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chelminski, Michael","contributorId":9532,"corporation":false,"usgs":true,"family":"Chelminski","given":"Michael","email":"","affiliations":[],"preferred":false,"id":548606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548607,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70160463,"text":"70160463 - 2015 - Stable isotopes suggest low site fidelity in Bar-Headed Geese (Anser indicus) in Mongolia: Implications for disease transmission","interactions":[],"lastModifiedDate":"2021-08-31T14:56:02.468976","indexId":"70160463","displayToPublicDate":"2015-06-01T09:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Stable isotopes suggest low site fidelity in Bar-Headed Geese (<i>Anser indicus</i>) in Mongolia: Implications for disease transmission","title":"Stable isotopes suggest low site fidelity in Bar-Headed Geese (Anser indicus) in Mongolia: Implications for disease transmission","docAbstract":"<p>Population connectivity is an important consideration in studies of disease transmission and biological conservation, especially with regard to migratory species. Determining how and when different subpopulations intermingle during different phases of the annual cycle can help identify important geographical regions or features as targets for conservation efforts and can help inform our understanding of continental-scale disease transmission. In this study, stable isotopes of hydrogen and carbon in contour feathers were used to assess the degree of molt-site fidelity among Bar-headed Geese (<i>Anser indicus</i>) captured in north-central Mongolia. Samples were collected from actively molting Bar-headed Geese (<i>n</i> = 61), and some individual samples included both a newly grown feather (still in sheath) and an old, worn feather from the bird's previous molt (<i>n</i> = 21). Although there was no difference in mean hydrogen isotope ratios for the old and new feathers, the isotopic variance in old feathers was approximately three times higher than that of the new feathers, which suggests that these birds use different and geographically distant molting locations from year to year. To further test this conclusion, online data and modeling tools from the isoMAP website were used to generate probability landscapes for the origin of each feather. Likely molting locations were much more widespread for old feathers than for new feathers, which supports the prospect of low molt-site fidelity. This finding indicates that population connectivity would be greater than expected based on data from a single annual cycle, and that disease spread can be rapid even in areas like Mongolia where Bar-headed Geese generally breed in small isolated groups.</p>","language":"English","publisher":"The Waterbird Society","publisherLocation":"Washington D.C.","doi":"10.1675/063.038.0201","usgsCitation":"Bridge, E., Kelly, J., Xiao, X., Batbayar, N., Natsagdorj, T., Hill, N., Takekawa, J.Y., Hawkes, L.A., Bishop, C.M., Butler, P.J., and Newman, S.H., 2015, Stable isotopes suggest low site fidelity in Bar-Headed Geese (Anser indicus) in Mongolia: Implications for disease transmission: Waterbirds, v. 38, no. 2, p. 123-132, https://doi.org/10.1675/063.038.0201.","productDescription":"10 p.","startPage":"123","endPage":"132","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064859","costCenters":[{"id":651,"text":"Western Ecological Research 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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"567930d4e4b0da412f4fb59e","contributors":{"authors":[{"text":"Bridge, Eli S.","contributorId":79413,"corporation":false,"usgs":true,"family":"Bridge","given":"Eli S.","affiliations":[],"preferred":false,"id":582974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelly, Jeffrey F.","contributorId":88291,"corporation":false,"usgs":true,"family":"Kelly","given":"Jeffrey F.","affiliations":[],"preferred":false,"id":582975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xiao, Xiangming","contributorId":150759,"corporation":false,"usgs":false,"family":"Xiao","given":"Xiangming","affiliations":[{"id":18095,"text":"Center for Spatial Analysis, U of OK, Norman, OK","active":true,"usgs":false}],"preferred":false,"id":582976,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Batbayar, Nyambayar","contributorId":40338,"corporation":false,"usgs":true,"family":"Batbayar","given":"Nyambayar","affiliations":[],"preferred":false,"id":582977,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Natsagdorj, Tseveenmyadag","contributorId":28729,"corporation":false,"usgs":true,"family":"Natsagdorj","given":"Tseveenmyadag","email":"","affiliations":[],"preferred":false,"id":582978,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hill, Nichola J.","contributorId":30342,"corporation":false,"usgs":true,"family":"Hill","given":"Nichola J.","affiliations":[],"preferred":false,"id":582979,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":582973,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hawkes, Lucy A.","contributorId":58761,"corporation":false,"usgs":true,"family":"Hawkes","given":"Lucy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":582980,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bishop, Charles M.","contributorId":98867,"corporation":false,"usgs":true,"family":"Bishop","given":"Charles","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":582981,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Butler, Patrick J.","contributorId":103782,"corporation":false,"usgs":true,"family":"Butler","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":582982,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Newman, Scott H.","contributorId":101372,"corporation":false,"usgs":true,"family":"Newman","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":582983,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70189598,"text":"70189598 - 2015 - An evaluation of the residual toxicity and chemistry of a sodium hydroxide-based ballast water treatment system for freshwater ships","interactions":[],"lastModifiedDate":"2018-08-09T12:28:14","indexId":"70189598","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of the residual toxicity and chemistry of a sodium hydroxide-based ballast water treatment system for freshwater ships","docAbstract":"<p><span>Nonnative organisms in the ballast water of freshwater ships must be killed to prevent the spread of invasive species. The ideal ballast water treatment system (BWTS) would kill 100% of ballast water organisms with minimal residual toxicity to organisms in receiving waters. In the present study, the residual toxicity and chemistry of a BWTS was evaluated. Sodium hydroxide was added to elevate pH to &gt;11.5 to kill ballast water organisms, then reduced to pH &lt;9 by sparging with wet-scrubbed diesel exhaust (the source of CO</span><sub>2</sub><span>). Cladocerans (</span><i>Ceriodaphnia dubia</i><span>), amphipods (</span><i>Hyalella azteca</i><span>), and fathead minnows (</span><i>Pimephales promelas</i><span>) were exposed for 2 d to BWTS water under an air atmosphere (pH drifted to ≥9) or a 2.5% CO</span><sub>2</sub><span><span>&nbsp;</span>atmosphere (pH 7.5–8.2), then transferred to control water for 5 d to assess potential delayed toxicity. Chemical concentrations in the BWTS water met vessel discharge guidelines with the exception of concentrations of copper. There was little to no residual toxicity to cladocerans or fish, but the BWTS water was toxic to amphipods. Maintaining a neutral pH and diluting BWTS water by 50% eliminated toxicity to the amphipods. The toxicity of BWTS water would likely be minimal because of rapid dilution in the receiving water, with subsurface release likely preventing pH rise. This BWTS has the potential to become a viable method for treating ballast water released into freshwater systems.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.2943","usgsCitation":"Elskus, A., Ingersoll, C.G., Kemble, N.E., Echols, K.R., Brumbaugh, W.G., Henquinet, J.W., and Watten, B.J., 2015, An evaluation of the residual toxicity and chemistry of a sodium hydroxide-based ballast water treatment system for freshwater ships: Environmental Toxicology and Chemistry, v. 34, no. 6, p. 1405-1416, https://doi.org/10.1002/etc.2943.","productDescription":"12 p.","startPage":"1405","endPage":"1416","ipdsId":"IP-062138","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":343988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"6","noUsgsAuthors":false,"publicationDate":"2015-02-18","publicationStatus":"PW","scienceBaseUri":"596f1e27e4b0d1f9f0640772","contributors":{"authors":[{"text":"Elskus, Adria 0000-0003-1192-5124 aelskus@usgs.gov","orcid":"https://orcid.org/0000-0003-1192-5124","contributorId":130,"corporation":false,"usgs":true,"family":"Elskus","given":"Adria","email":"aelskus@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":705345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":705346,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kemble, Nile E. 0000-0002-3608-0538 nkemble@usgs.gov","orcid":"https://orcid.org/0000-0002-3608-0538","contributorId":2626,"corporation":false,"usgs":true,"family":"Kemble","given":"Nile","email":"nkemble@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":705347,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Echols, Kathy R. 0000-0003-2631-9143 kechols@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-9143","contributorId":2799,"corporation":false,"usgs":true,"family":"Echols","given":"Kathy","email":"kechols@usgs.gov","middleInitial":"R.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":705348,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":705349,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henquinet, Jeffrey W.","contributorId":171741,"corporation":false,"usgs":false,"family":"Henquinet","given":"Jeffrey","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":705350,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Watten, Barnaby J. 0000-0002-2227-8623 bwatten@usgs.gov","orcid":"https://orcid.org/0000-0002-2227-8623","contributorId":2002,"corporation":false,"usgs":true,"family":"Watten","given":"Barnaby","email":"bwatten@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":705351,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70159741,"text":"70159741 - 2015 - Climate change projections for lake whitefish (<i>Coregonus clupeaformis</i>) recruitment in the 1836 Treaty Waters of the Upper Great Lakes","interactions":[],"lastModifiedDate":"2018-04-24T13:48:14","indexId":"70159741","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Climate change projections for lake whitefish (<i>Coregonus clupeaformis</i>) recruitment in the 1836 Treaty Waters of the Upper Great Lakes","docAbstract":"<p><span>Lake whitefish (</span><i>Coregonus clupeaformis</i><span>) is an ecologically, culturally, and economically important species in the Laurentian Great Lakes. Lake whitefish have been a staple food source for thousands of years and, since 1980, have supported the most economically valuable (annual catch value</span><span>&nbsp;</span><span>≈</span><span>&nbsp;</span><span>US$16.6 million) and productive (annual harvest</span><span>&nbsp;</span><span>≈</span><span>&nbsp;</span><span>7 million kg) commercial fishery in the upper Great Lakes (Lakes Huron, Michigan, and Superior). Climate changes, specifically changes in temperature, wind, and ice cover, are expected to impact the ecology, production dynamics, and value of this fishery because the success of recruitment to the fishery has been linked with these climatic variables. We used linear regression to determine the relationship between fall and spring air temperature indices, fall wind speed, winter ice cover, and lake whitefish recruitment in 13 management units located in the 1836 Treaty Waters of the Upper Great Lakes ceded by the Ottawa and Chippewa nations, a culturally and commercially important region for the lake whitefish fishery. In eight of the 13 management units evaluated, models including one or more climate variables (temperature, wind, ice cover) explained significantly more variation in recruitment than models with only the stock–recruitment relationship, using corrected Akaike's Information Criterion comparisons (ΔAICc</span><span>&nbsp;</span><span>&gt;</span><span>&nbsp;</span><span>3). Isolating the climate–recruitment relationship and projecting recruitment with the Coupled Hydrosphere-Atmosphere Research Model (CHARM) indicated the potential for increased lake whitefish recruitment in the majority of the 1836 Treaty Waters management units. These results can inform adaptive management strategies by providing anticipated implications of climate on lake whitefish recruitment.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2015.03.015","usgsCitation":"Lynch, A., Taylor, W., Beard, T., and Lofgren, B.M., 2015, Climate change projections for lake whitefish (<i>Coregonus clupeaformis</i>) recruitment in the 1836 Treaty Waters of the Upper Great Lakes: Journal of Great Lakes Research, v. 41, no. 2, p. 415-422, https://doi.org/10.1016/j.jglr.2015.03.015.","productDescription":"8 p.","startPage":"415","endPage":"422","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058029","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":311552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Huron, Lake Michigan, Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.8798828125,\n              41.68932225997044\n            ],\n            [\n              -86.3525390625,\n              42.04929263868686\n            ],\n            [\n              -86.1328125,\n              42.68243539838623\n            ],\n            [\n              -86.33056640625,\n              43.45291889355465\n            ],\n            [\n              -86.2646484375,\n              44.15068115978091\n            ],\n            [\n              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W.","affiliations":[],"preferred":false,"id":580302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beard, T. Douglas Jr. 0000-0003-2632-2350 dbeard@usgs.gov","orcid":"https://orcid.org/0000-0003-2632-2350","contributorId":3314,"corporation":false,"usgs":true,"family":"Beard","given":"T. Douglas","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":580300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lofgren, Brent M.","contributorId":139534,"corporation":false,"usgs":false,"family":"Lofgren","given":"Brent","email":"","middleInitial":"M.","affiliations":[{"id":12789,"text":"NOAA Great Lakes Environmental Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":580303,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191256,"text":"70191256 - 2015 - Applied Geochemistry Special Issue on Environmental geochemistry of modern mining","interactions":[],"lastModifiedDate":"2020-03-10T14:38:56","indexId":"70191256","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Applied Geochemistry Special Issue on Environmental geochemistry of modern mining","docAbstract":"<p id=\"p0005\">Environmental geochemistry is an integral part of the mine-life cycle, particularly for modern mining. The critical importance of environmental geochemistry begins with pre-mining baseline characterization and the assessment of environmental risks related to mining, continues through active mining especially in water and waste management practices, and culminates in mine closure. The enhanced significance of environmental geochemistry to modern mining has arisen from an increased knowledge of the impacts that historical and active mining can have on the environment, and from new regulations meant to guard against these impacts. New regulations are commonly motivated by advances in the scientific understanding of the environmental impacts of past mining. The impacts can be physical, chemical, and biological in nature. The physical challenges typically fall within the purview of engineers, whereas the chemical and biological challenges typically require a multidisciplinary array of expertise including geologists, geochemists, hydrologists, microbiologists, and biologists. The modern mine-permitting process throughout most of the world now requires that potential risks be assessed prior to the start of mining. The strategies for this risk assessment include a thorough characterization of pre-mining baseline conditions and the identification of risks specifically related to the manner in which the ore will be mined and processed, how water and waste products will be managed, and what the final configuration of the post-mining landscape will be.</p><p id=\"p0010\">In the Fall 2010, the Society of Economic Geologists held a short course in conjunction with the annual meeting of the Geological Society of America in Denver, Colorado (USA) to examine the environmental geochemistry of modern mining. The intent was to focus on issues that are pertinent to current and future mines, as opposed to abandoned mines, which have been the focus of numerous previous short courses. The geochemical challenges of current and future mines share similarities with abandoned mines, but differences also exist. Mining and ore processing techniques have changed; the environmental footprint of waste materials has changed; environmental protection has become a more integral part of the mine planning process; and most historical mining was done with limited regard for the environment. The 17 papers in this special issue evolved from the Society of Economic Geologists’ short course.</p><p id=\"p0015\">The relevant geochemical processes encompass the source, transport, and fate of contaminants related to the life cycle of a mine. Contaminants include metals and other inorganic species derived from geologic sources such as ore and solid mine waste, and substances brought to the site for ore processing, such as cyanide to leach gold. Factors, such as mine-waste mineralogy, hydrologic setting, mine-drainage chemistry, and microbial activity, that affect the hydrochemical risks from mining are reviewed by Nordstrom et al. In another paper, Nordstrom discusses baseline characterization at mine sites in a regulatory framework, and emphasizes the influence of mineral deposits in producing naturally elevated concentrations of many trace elements in surface water and groundwater. Surface water quality in mineralized watersheds is influenced by a number of processes that act on daily (diel) cycles and can produce dramatic variations in trace element concentrations as described by Gammons et al. Pre-mining baseline characterization studies should strive to capture the magnitude of these diel variations. Desbarats et al., using a case study of mine drainage from a gold mine, illustrate how elements that commonly occur as negatively charged species (anions) in solution, such as arsenic as arsenate, behave in an opposite fashion than most metals, which occur as positively charged species (cations). Significant improvement in the understanding of factors that influence the toxicity of metals to aquatic organisms in surface water has highlighted the importance of aqueous chemistry, particularly dissolved organic carbon, as described by Smith et al. Stream sediment contamination is another important pathway for affecting aquatic organisms, as reviewed by Besser et al. Understanding and predicting environmental consequences from mining begins with knowing the mineralogy and mineral reactivity of the ore, the wastes, and of secondary minerals formed later. Jamieson et al. review the importance of mineralogical studies in mine planning and remediation. A number of types of site-specific studies are needed to identify environmental risks related to individual mines. Lapakko reviews the general framework of mine waste characterization studies that are integral to the mine planning process. Hageman et al. present a comparative study of several static tests commonly used to characterize mine waste.</p><p id=\"p0020\">The mining and ore processing practices employed at a specific mine site will vary on the basis of the commodities being targeted, the geology of the deposit, the geometry of the deposit, and the mining and ore processing methods used. Thus, these factors, in addition to the waste management practices used, can result in a variety of end-member mine waste features, each of which has its own set of challenges. Open pit mines and underground mines require waste rock to be removed to access ore. Waste rock presents unique problems because the rock is commonly mineralized at sub-economic grades and has not been processed to remove potentially problematic minerals, such as pyrite. Amos et al. examine the salient aspects of the geochemistry of waste rock. Mill tailings – the waste material after ore minerals have been removed – are a volumetrically important solid waste at many mine sites. Their fine grain size and the options for their management make their behavior in the environment distinct from that of waste rock. Lindsay et al. describe some of these differences through three case-study examples. Subaqueous disposal of tailings is another option described by Moncur et al. Cyanide leaching for gold extraction is a common method throughout the world. Johnson describes environmental aspects of cyanidation. Uranium mining presents unique environmental challenges, particularly since in-situ recovery has seen widespread use. Campbell et al. review the environmental geochemistry of uranium mining and current research on bioremediation. Ore concentrates from many types of metal mining undergo a pyrometallurgical technique known as smelting to extract the metal. Slag is the result of smelting, and it may be an environmental liability or a valuable byproduct, as described by Piatak et al. Finally, the open pits that result from surface mining commonly reach below the water table. At the end of mining, these pits may fill to form lakes that become part of the legacy of the mine. Castendyk et al., in two papers, review theoretical aspects of the environmental limnology of pit lakes. They also describe approaches that have been used to model pit lake water balance, wall-rock contributions to pit lake chemistry, pit lake water quality, and limnological processes, such as vertical mixing, through the use of three case studies.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2015.04.019","usgsCitation":"Seal, R., and Nordstrom, D.K., 2015, Applied Geochemistry Special Issue on Environmental geochemistry of modern mining: Applied Geochemistry, v. 57, p. 1-2, https://doi.org/10.1016/j.apgeochem.2015.04.019.","productDescription":"2 p.","startPage":"1","endPage":"2","ipdsId":"IP-063499","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":346319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d3502ae4b05fe04cc34d6f","contributors":{"authors":[{"text":"Seal, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":397,"corporation":false,"usgs":true,"family":"Seal","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[],"preferred":false,"id":711701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":711702,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70136073,"text":"70136073 - 2015 - A multi-proxy record of hydroclimate, vegetation, fire, and post-settlement impacts for a subalpine plateau, Central Rocky Mountains U.S.A","interactions":[],"lastModifiedDate":"2016-07-08T11:48:00","indexId":"70136073","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3562,"text":"The Holocene","active":true,"publicationSubtype":{"id":10}},"title":"A multi-proxy record of hydroclimate, vegetation, fire, and post-settlement impacts for a subalpine plateau, Central Rocky Mountains U.S.A","docAbstract":"<p><span>Apparent changes in vegetation distribution, fire, and other disturbance regimes throughout western North America have prompted investigations of the relative importance of human activities and climate change as potential causal mechanisms. Assessing the effects of Euro-American settlement is difficult because climate changes occur on multi-decadal to centennial time scales and require longer time perspectives than historic observations can provide. Here, we report vegetation and environmental changes over the past ~13,000&thinsp;years as recorded in a sediment record from Bison Lake, a subalpine lake on a high plateau in northwestern Colorado. Results are based on multiple independent proxies, which include pollen, charcoal, and elemental geochemistry, and are compared with previously reported interpretations of hydroclimatic changes from oxygen isotope ratios. The pollen data indicate a slowly changing vegetation sequence from sagebrush steppe during the late glacial to coniferous forest through the late Holocene. The most dramatic vegetation changes of the Holocene occurred during the &lsquo;Medieval Climate Anomaly&rsquo; (MCA) and &lsquo;Little Ice Age&rsquo; (LIA) with rapid replacement of conifer forest by grassland followed by an equally rapid return to conifer forest. Late Holocene vegetation responses are mirrored by changes in fire, lake biological productivity, and watershed erosion. These combined records indicate that subsequent disturbance related to Euro-American settlement, although perhaps significant, had acted upon a landscape that was already responding to MCA-LIA hydroclimatic change. Results document both rapid and long-term subalpine grassland ecosystem dynamics driven by agents of change that can be anticipated in the future and simulated by ecosystem models.</span></p>","language":"English","publisher":"Sage Journals","doi":"10.1177/0959683615574583","usgsCitation":"Anderson, L., Brunelle, A., and Thompson, R.S., 2015, A multi-proxy record of hydroclimate, vegetation, fire, and post-settlement impacts for a subalpine plateau, Central Rocky Mountains U.S.A: The Holocene, v. 25, no. 6, p. 932-943, https://doi.org/10.1177/0959683615574583.","productDescription":"12 p.","startPage":"932","endPage":"943","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058200","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":324911,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Rocky Mountains","volume":"25","issue":"6","noUsgsAuthors":false,"publicationDate":"2015-03-16","publicationStatus":"PW","scienceBaseUri":"5780ceaee4b0811616822299","contributors":{"authors":[{"text":"Anderson, Lesleigh 0000-0002-5264-089X land@usgs.gov","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":436,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","email":"land@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":537111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brunelle, Andrea","contributorId":131053,"corporation":false,"usgs":false,"family":"Brunelle","given":"Andrea","email":"","affiliations":[{"id":7215,"text":"University of Utah Dept. of Geography","active":true,"usgs":false}],"preferred":false,"id":537112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Robert S. 0000-0001-9287-2954 rthompson@usgs.gov","orcid":"https://orcid.org/0000-0001-9287-2954","contributorId":891,"corporation":false,"usgs":true,"family":"Thompson","given":"Robert","email":"rthompson@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":537113,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70154809,"text":"70154809 - 2015 - Dynamic hypoxic zones in Lake Erie compress fish habitat, altering vulnerability to fishing gears","interactions":[],"lastModifiedDate":"2015-07-08T13:42:30","indexId":"70154809","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic hypoxic zones in Lake Erie compress fish habitat, altering vulnerability to fishing gears","docAbstract":"<p><span>Seasonal degradation of aquatic habitats from hypoxia occurs in numerous freshwater and coastal marine systems and can result in direct mortality or displacement of fish. Yet, fishery landings from these systems are frequently unresponsive to changes in the severity and extent of hypoxia, and population-scale effects have been difficult to measure except in extreme hypoxic conditions with hypoxia-sensitive species. We investigated fine-scale temporal and spatial variability in dissolved oxygen in Lake Erie as it related to fish distribution and catch efficiencies of both active (bottom trawls) and passive (trap nets) fishing gears. Temperature and dissolved oxygen loggers placed near the edge of the hypolimnion exhibited much higher than expected variability. Hypoxic episodes of variable durations were frequently punctuated by periods of normoxia, consistent with high-frequency internal waves. High-resolution interpolations of water quality and hydroacoustic surveys suggest that fish habitat is compressed during hypoxic episodes, resulting in higher fish densities near the edges of hypoxia. At fixed locations with passive commercial fishing gear, catches with the highest values occurred when bottom waters were hypoxic for intermediate proportions of time. Proximity to hypoxia explained significant variation in bottom trawl catches, with higher catch rates near the edge of hypoxia. These results emphasize how hypoxia may elevate catch rates in various types of fishing gears, leading to a lack of association between indices of hypoxia and fishery landings. Increased catch rates of fish at the edges of hypoxia have important implications for stock assessment models that assume catchability is spatially homogeneous.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2014-0517","usgsCitation":"Kraus, R.T., Knight, C.T., Farmer, T.M., Gorman, A.M., Collingsworth, P.D., Warren, G.J., Kocovsky, P.M., and Conroy, J.D., 2015, Dynamic hypoxic zones in Lake Erie compress fish habitat, altering vulnerability to fishing gears: Canadian Journal of Fisheries and Aquatic Sciences, v. 72, no. 6, p. 797-806, https://doi.org/10.1139/cjfas-2014-0517.","productDescription":"10 p.","startPage":"797","endPage":"806","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060963","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":305617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","city":"Fairport Harbor","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              -81.31805419921875,\n              41.740577910570785\n            ],\n            [\n              -81.31805419921875,\n              41.78052894057897\n            ],\n            [\n              -81.23222351074219,\n              41.78052894057897\n            ],\n            [\n              -81.23222351074219,\n              41.740577910570785\n            ],\n            [\n              -81.31805419921875,\n              41.740577910570785\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"72","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"559e49aae4b0b94a64018f63","contributors":{"authors":[{"text":"Kraus, Richard T. 0000-0003-4494-1841 rkraus@usgs.gov","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":2609,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","email":"rkraus@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":564223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knight, Carey T.","contributorId":56529,"corporation":false,"usgs":true,"family":"Knight","given":"Carey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":564487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farmer, Troy M.","contributorId":69893,"corporation":false,"usgs":true,"family":"Farmer","given":"Troy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":564488,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorman, Ann Marie","contributorId":145525,"corporation":false,"usgs":false,"family":"Gorman","given":"Ann","email":"","middleInitial":"Marie","affiliations":[],"preferred":false,"id":564489,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collingsworth, Paris D.","contributorId":145526,"corporation":false,"usgs":false,"family":"Collingsworth","given":"Paris","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":564490,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Warren, Glenn J.","contributorId":79407,"corporation":false,"usgs":true,"family":"Warren","given":"Glenn","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":564491,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kocovsky, Patrick M. 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":3429,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":251,"text":"Ecosystems Mission Area","active":false,"usgs":true}],"preferred":true,"id":564492,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Conroy, Joseph D.","contributorId":145527,"corporation":false,"usgs":false,"family":"Conroy","given":"Joseph","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":564493,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70155032,"text":"70155032 - 2015 - Demographic and spatiotemporal patterns of avian influenza infection at the continental scale, and in relation to annual life cycle of a migratory host","interactions":[],"lastModifiedDate":"2015-12-11T10:56:58","indexId":"70155032","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Demographic and spatiotemporal patterns of avian influenza infection at the continental scale, and in relation to annual life cycle of a migratory host","docAbstract":"<p><span>Since the spread of highly pathogenic avian influenza (HPAI) H5N1 in the eastern hemisphere, numerous surveillance programs and studies have been undertaken to detect the occurrence, distribution, or spread of avian influenza viruses (AIV) in wild bird populations worldwide. To identify demographic determinants and spatiotemporal patterns of AIV infection in long distance migratory waterfowl in North America, we fitted generalized linear models with binominal distribution to analyze results from 13,574 blue-winged teal (</span><i>Anas discors</i><span>, BWTE) sampled in 2007 to 2010 year round during AIV surveillance programs in Canada and the United States. Our analyses revealed that during late summer staging (July-August) and fall migration (September-October), hatch year (HY) birds were more likely to be infected than after hatch year (AHY) birds, however there was no difference between age categories for the remainder of the year (winter, spring migration, and breeding period), likely due to maturing immune systems and newly acquired immunity of HY birds. Probability of infection increased non-linearly with latitude, and was highest in late summer prior to fall migration when densities of birds and the proportion of susceptible HY birds in the population are highest. Birds in the Central and Mississippi flyways were more likely to be infected compared to those in the Atlantic flyway. Seasonal cycles and spatial variation of AIV infection were largely driven by the dynamics of AIV infection in HY birds, which had more prominent cycles and spatial variation in infection compared to AHY birds. Our results demonstrate demographic as well as seasonal, latitudinal and flyway trends across Canada and the US, while illustrating the importance of migratory host life cycle and age in driving cyclical patterns of prevalence.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0130662","usgsCitation":"Nallar, R., Papp, Z., Epp, T., Leighton, F.A., Swafford, S.R., DeLiberto, T.J., Dusek, R., Ip, S., Hall, J.S., Berhane, Y., Gibbs, S., and Soos, C., 2015, Demographic and spatiotemporal patterns of avian influenza infection at the continental scale, and in relation to annual life cycle of a migratory host: PLoS ONE, v. 10, no. 6, e0130662: 14 p., https://doi.org/10.1371/journal.pone.0130662.","productDescription":"e0130662: 14 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056734","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":472060,"rank":0,"type":{"id":40,"text":"Open Access 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             29.075375179558346\n            ],\n            [\n              -88.857421875,\n              29.152161283318915\n            ],\n            [\n              -88.9453125,\n              30.06909396443887\n            ],\n            [\n              -86.748046875,\n              29.916852233070173\n            ],\n            [\n              -84.638671875,\n              29.458731185355344\n            ],\n            [\n              -83.84765625,\n              29.84064389983441\n            ],\n            [\n              -82.79296874999999,\n              28.69058765425071\n            ],\n            [\n              -82.96875,\n              27.059125784374068\n            ],\n            [\n              -82.001953125,\n              25.3241665257384\n            ],\n            [\n              -81.2109375,\n              25.005972656239187\n            ],\n            [\n              -80.068359375,\n              25.48295117535531\n            ]\n          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Canada","active":true,"usgs":false}],"preferred":false,"id":564747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Epp, Tasha","contributorId":145604,"corporation":false,"usgs":false,"family":"Epp","given":"Tasha","email":"","affiliations":[{"id":16165,"text":"4Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, 52 Campus Drive, Saskatoon, Saskatchewan S7N 5B4, Canada","active":true,"usgs":false}],"preferred":false,"id":564748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leighton, Frederick A.","contributorId":46063,"corporation":false,"usgs":true,"family":"Leighton","given":"Frederick","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":564749,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swafford, Seth R.","contributorId":145605,"corporation":false,"usgs":false,"family":"Swafford","given":"Seth","email":"","middleInitial":"R.","affiliations":[{"id":16166,"text":"United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, 1714 Commerce Court, Suite C, Columbia, MO, United States of America.","active":true,"usgs":false}],"preferred":false,"id":564750,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeLiberto, Thomas J.","contributorId":145606,"corporation":false,"usgs":false,"family":"DeLiberto","given":"Thomas","email":"","middleInitial":"J.","affiliations":[{"id":16167,"text":"7United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, National Wildlife Disease Program, 4101 LaPorte Ave., Fort Collins, CO, United States of America.","active":true,"usgs":false}],"preferred":false,"id":564751,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":140396,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert J.","email":"rdusek@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":564745,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":564752,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hall, Jeffrey S. 0000-0001-5599-2826 jshall@usgs.gov","orcid":"https://orcid.org/0000-0001-5599-2826","contributorId":2254,"corporation":false,"usgs":true,"family":"Hall","given":"Jeffrey","email":"jshall@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":564753,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Berhane, Yohannes","contributorId":145607,"corporation":false,"usgs":false,"family":"Berhane","given":"Yohannes","email":"","affiliations":[{"id":16168,"text":"National Centre for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, Manitoba, R3L 3M4, Canada","active":true,"usgs":false}],"preferred":false,"id":564754,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gibbs, Samantha E.J.","contributorId":127739,"corporation":false,"usgs":false,"family":"Gibbs","given":"Samantha E.J.","affiliations":[{"id":7128,"text":"Department of Infectious Disease and Global Health, Cummings School of Veterinary Medicine, Tufts University, North Grafton, MA 01536, USA.","active":true,"usgs":false}],"preferred":false,"id":564755,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Soos, Catherine","contributorId":99042,"corporation":false,"usgs":true,"family":"Soos","given":"Catherine","affiliations":[],"preferred":false,"id":564756,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70182185,"text":"70182185 - 2015 - Suburbanization, estrogen contamination, and sex ratio in wild amphibian populations","interactions":[],"lastModifiedDate":"2018-09-04T15:47:41","indexId":"70182185","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Suburbanization, estrogen contamination, and sex ratio in wild amphibian populations","docAbstract":"<p><span>Research on endocrine disruption in frog populations, such as shifts in sex ratios and feminization of males, has predominantly focused on agricultural pesticides. Recent evidence suggests that suburban landscapes harbor amphibian populations exhibiting similar levels of endocrine disruption; however the endocrine disrupting chemical (EDC) sources are unknown. Here, we show that sex ratios of metamorphosing frogs become increasingly female-dominated along a suburbanization gradient. We further show that suburban ponds are frequently contaminated by the classical estrogen estrone and a variety of EDCs produced by plants (phytoestrogens), and that the diversity of organic EDCs is correlated with the extent of developed land use and cultivated lawn and gardens around a pond. Our work also raises the possibility that trace-element contamination associated with human land use around suburban ponds may be contributing to the estrogenic load within suburban freshwaters and constitutes another source of estrogenic exposure for wildlife. These data suggest novel, unexplored pathways of EDC contamination in human-altered environments. In particular, we propose that vegetation changes associated with suburban neighborhoods (e.g., from forests to lawns and ornamental plants) increase the distribution of phytoestrogens in surface waters. The result of frog sex ratios varying as a function of human land use implicates a role for environmental modulation of sexual differentiation in amphibians, which are assumed to only have genetic sex determination. Overall, we show that endocrine disruption is widespread in suburban frog populations and that the causes are likely diverse.</span></p>","language":"English","publisher":"PNAS","doi":"10.1073/pnas.1501065112","usgsCitation":"Lambert, M.R., Giller, G.S., Barber, L.B., Fitzgerald, K.C., and Skelly, D.K., 2015, Suburbanization, estrogen contamination, and sex ratio in wild amphibian populations: Proceedings of the National Academy of Sciences of the United States of America, v. 112, no. 38, p. 11881-11886, https://doi.org/10.1073/pnas.1501065112.","productDescription":"6 p.","startPage":"11881","endPage":"11886","ipdsId":"IP-062730","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":472068,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1501065112","text":"External Repository"},{"id":335838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"38","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-08","publicationStatus":"PW","scienceBaseUri":"58ac0e2ee4b0ce4410e7d5fa","contributors":{"authors":[{"text":"Lambert, Max R.","contributorId":181897,"corporation":false,"usgs":false,"family":"Lambert","given":"Max","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":669920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Giller, Geoffrey S. J.","contributorId":181898,"corporation":false,"usgs":false,"family":"Giller","given":"Geoffrey","email":"","middleInitial":"S. J.","affiliations":[],"preferred":false,"id":669921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":669919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fitzgerald, Kevin C. kcfitzgerald@usgs.gov","contributorId":5534,"corporation":false,"usgs":true,"family":"Fitzgerald","given":"Kevin","email":"kcfitzgerald@usgs.gov","middleInitial":"C.","affiliations":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"preferred":true,"id":669922,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Skelly, David K.","contributorId":181900,"corporation":false,"usgs":false,"family":"Skelly","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":669923,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178268,"text":"70178268 - 2015 - Biogeochemical aspects of uranium mineralization, mining, milling, and remediation","interactions":[],"lastModifiedDate":"2018-09-18T16:14:31","indexId":"70178268","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Biogeochemical aspects of uranium mineralization, mining, milling, and remediation","docAbstract":"<p id=\"sp0010\">Natural uranium (U) occurs as a mixture of three radioactive isotopes: <sup>238</sup>U, <sup>235</sup>U, and <sup>234</sup>U. Only <sup>235</sup>U is fissionable and makes up about 0.7% of natural U, while <sup>238</sup>U is overwhelmingly the most abundant at greater than 99% of the total mass of U. Prior to the 1940s, U was predominantly used as a coloring agent, and U-bearing ores were mined mainly for their radium (Ra) and/or vanadium (V) content; the bulk of the U was discarded with the tailings (Finch et al., 1972). Once nuclear fission was discovered, the economic importance of U increased greatly. The mining and milling of U-bearing ores is the first step in the nuclear fuel cycle, and the contact of residual waste with natural water is a potential source of contamination of U and associated elements to the environment. Uranium is mined by three basic methods: surface (open pit), underground, and solution mining (in situ leaching or in situ recovery), depending on the deposit grade, size, location, geology and economic considerations (Abdelouas, 2006). Solid wastes at U mill tailings (UMT) sites can include both standard tailings (i.e., leached ore rock residues) and solids generated on site by waste treatment processes. The latter can include sludge or “mud” from neutralization of acidic mine/mill effluents, containing Fe and a range of coprecipitated constituents, or barium sulfate precipitates that selectively remove Ra (e.g., Carvalho et al., 2007). In this chapter, we review the hydrometallurgical processes by which U is extracted from ore, the biogeochemical processes that can affect the fate and transport of U and associated elements in the environment, and possible remediation strategies for site closure and aquifer restoration.</p><p id=\"sp0015\">This paper represents the fourth in a series of review papers from the U.S. Geological Survey (USGS) on geochemical aspects of UMT management that span more than three decades. The first paper (Landa, 1980) in this series is a primer on the nature of tailings and radionuclide mobilization from them. The second paper (Landa, 1999) includes coverage of research carried out under the U.S. Department of Energy’s Uranium Mill Tailings Remedial Action Program (UMTRA). The third paper (Landa, 2004) reflects the increased focus of researchers on biotic effects in UMT environs. This paper expands the focus to U mining, milling, and remedial actions, and includes extensive coverage of the increasingly important alkaline in situ recovery and groundwater restoration.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2014.07.022","usgsCitation":"Campbell, K.M., Gallegos, T.J., and Landa, E.R., 2015, Biogeochemical aspects of uranium mineralization, mining, milling, and remediation: Applied Geochemistry, v. 57, p. 206-235, https://doi.org/10.1016/j.apgeochem.2014.07.022.","productDescription":"30 p.","startPage":"206","endPage":"235","ipdsId":"IP-053469","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":331114,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"582ecff0e4b04d580bd43534","contributors":{"authors":[{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":653459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallegos, Tanya J. 0000-0003-3350-6473 tgallegos@usgs.gov","orcid":"https://orcid.org/0000-0003-3350-6473","contributorId":2206,"corporation":false,"usgs":true,"family":"Gallegos","given":"Tanya","email":"tgallegos@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":654048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landa, Edward R. erlanda@usgs.gov","contributorId":2112,"corporation":false,"usgs":true,"family":"Landa","given":"Edward","email":"erlanda@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":654049,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191949,"text":"70191949 - 2015 - Application of science-based restoration planning to a desert river system","interactions":[],"lastModifiedDate":"2017-10-26T14:13:13","indexId":"70191949","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Application of science-based restoration planning to a desert river system","docAbstract":"<p><span>Persistence of many desert river species is threatened by a suite of impacts linked to water infrastructure projects that provide human water security where water is scarce. Many desert rivers have undergone regime shifts from spatially and temporally dynamic ecosystems to more stable systems dominated by homogenous physical habitat. Restoration of desert river systems could aid in biodiversity conservation, but poses formidable challenges due to multiple threats and the infeasibility of recovery to pre-development conditions. The challenges faced in restoring desert rivers can be addressed by incorporating scientific recommendations into restoration planning efforts at multiple stages, as demonstrated here through an example restoration project. In particular, use of a watershed-scale planning process can identify data gaps and irreversible constraints, which aid in developing achievable restoration goals and objectives. Site-prioritization focuses limited the resources for restoration on areas with the greatest potential to improve populations of target organisms. Investment in research to understand causes of degradation, coupled with adoption of a guiding vision is critical for identifying feasible restoration actions that can enhance river processes. Setting monitoring as a project goal, developing hypotheses for expected outcomes, and implementing restoration as an experimental design will facilitate adaptive management and learning from project implementation. Involvement of scientists and managers during all planning stages is critical for developing process-based restoration actions and an implementation plan to maximize learning. The planning process developed here provides a roadmap for use of scientific recommendations in future efforts to recover dynamic processes in imperiled riverine ecosystems.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00267-015-0481-5","usgsCitation":"Laub, B.G., Jimenez, J., and Budy, P., 2015, Application of science-based restoration planning to a desert river system: Environmental Management, v. 55, no. 6, p. 1246-1261, https://doi.org/10.1007/s00267-015-0481-5.","productDescription":"16 p.","startPage":"1246","endPage":"1261","ipdsId":"IP-053441","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"San Rafael River watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.5606689453125,\n              38.361041528596026\n            ],\n            [\n              -110.0555419921875,\n              38.361041528596026\n            ],\n            [\n              -110.0555419921875,\n              39.69239407904182\n            ],\n            [\n              -111.5606689453125,\n              39.69239407904182\n            ],\n            [\n              -111.5606689453125,\n              38.361041528596026\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-08","publicationStatus":"PW","scienceBaseUri":"5a07eb5de4b09af898c8ccdb","contributors":{"authors":[{"text":"Laub, Brian G.","contributorId":198569,"corporation":false,"usgs":false,"family":"Laub","given":"Brian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":716424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jimenez, Justin","contributorId":198570,"corporation":false,"usgs":false,"family":"Jimenez","given":"Justin","email":"","affiliations":[],"preferred":false,"id":716425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Budy, Phaedra E. 0000-0002-9918-1678 pbudy@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":140028,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":713771,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70159048,"text":"70159048 - 2015 - Hydrology: The interdisciplinary science of water","interactions":[],"lastModifiedDate":"2015-10-15T09:08:54","indexId":"70159048","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Hydrology: The interdisciplinary science of water","docAbstract":"<p>We live in a world where biophysical and social processes are tightly coupled. Hydrologic systems change in response to a variety of natural and human forces such as climate variability and change, water use and water infrastructure, and land cover change. In turn, changes in hydrologic systems impact socioeconomic, ecological, and climate systems at a number of scales, leading to a coevolution of these interlinked systems. The Harvard Water Program, Hydrosociology, Integrated Water Resources Management, Ecohydrology, Hydromorphology, and Sociohydrology were all introduced to provide distinct, interdisciplinary perspectives on water problems to address the contemporary dynamics of human interaction with the hydrosphere and the evolution of the Earth&rsquo;s hydrologic systems. Each of them addresses scientific, social, and engineering challenges related to how humans influence water systems and vice versa. There are now numerous examples in the literature of how holistic approaches can provide a structure and vision of the future of hydrology. We review selected examples, which taken together, describe the type of theoretical and applied integrated hydrologic analyses and associated curricular content required to address the societal issue of water resources sustainability. We describe a modern interdisciplinary science of hydrology needed to develop an in-depth understanding of the dynamics of the connectedness between human and natural systems and to determine effective solutions to resolve the complex water problems that the world faces today. Nearly, every theoretical hydrologic model introduced previously is in need of revision to accommodate how climate, land, vegetation, and socioeconomic factors interact, change, and evolve over time.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015WR017049","usgsCitation":"Vogel, R.M., Lall, U., Cai, X., Rajagopalan, B., Weiskel, P.K., Hooper, R.P., and Matalas, N.C., 2015, Hydrology: The interdisciplinary science of water: Water Resources Research, v. 51, no. 6, p. 4409-4430, https://doi.org/10.1002/2015WR017049.","productDescription":"22 p.","startPage":"4409","endPage":"4430","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065855","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":472065,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015wr017049","text":"Publisher Index Page"},{"id":309897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"6","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-21","publicationStatus":"PW","scienceBaseUri":"5620ce77e4b06217fc478aee","contributors":{"authors":[{"text":"Vogel, Richard M.","contributorId":66811,"corporation":false,"usgs":true,"family":"Vogel","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":577535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lall, Upmanu","contributorId":101172,"corporation":false,"usgs":true,"family":"Lall","given":"Upmanu","affiliations":[],"preferred":false,"id":577536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cai, Ximing","contributorId":149230,"corporation":false,"usgs":false,"family":"Cai","given":"Ximing","email":"","affiliations":[{"id":17685,"text":"University of Illinois, Champagne-Urbana","active":true,"usgs":false}],"preferred":false,"id":577537,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rajagopalan, Balaji","contributorId":145813,"corporation":false,"usgs":false,"family":"Rajagopalan","given":"Balaji","email":"","affiliations":[{"id":16240,"text":"U of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":577538,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weiskel, Peter K. pweiskel@usgs.gov","contributorId":1099,"corporation":false,"usgs":true,"family":"Weiskel","given":"Peter","email":"pweiskel@usgs.gov","middleInitial":"K.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":577534,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hooper, Richard P.","contributorId":19144,"corporation":false,"usgs":true,"family":"Hooper","given":"Richard","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":577539,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matalas, Nicholas C.","contributorId":34535,"corporation":false,"usgs":true,"family":"Matalas","given":"Nicholas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":577540,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
]}