{"pageNumber":"757","pageRowStart":"18900","pageSize":"25","recordCount":68924,"records":[{"id":70032478,"text":"70032478 - 2011 - Associations between dioxins/furans and dioxin-like PCBs in estuarine sediment and blue crab","interactions":[],"lastModifiedDate":"2020-01-14T08:13:50","indexId":"70032478","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Associations between dioxins/furans and dioxin-like PCBs in estuarine sediment and blue crab","docAbstract":"<p><span>The objective of the present study was to evaluate the relationships between the quantity, toxicity, and compositional profile of dioxin/furan compounds (PCDD/Fs) and dioxin-like polychlorinated biphenyls (DL-PCBs) in estuarine sediment and in the blue crab (</span><i class=\"EmphasisTypeItalic \">Callinectes sapidus</i><span>). Sediment and blue crab samples were collected in three small urban estuaries that are in relatively close proximity to each other. Results show that differences between PCDD/F and DL-PCB mass concentrations and total toxic equivalents (TEQ) toxicity in sediments of the three estuaries are reflected in those of the blue crab. TEQs are higher in the hepatopancreas of the crabs than in the sediment, but the concentration factor is inversely proportional to the TEQ in the sediments. Congener profiles in the crabs are systematically different from those in the sediments, and the difference is more pronounced for PCDD/Fs than for DL-PCBs, possibly due to differences in metabolization rates. Compared with sediment profiles, more lesser-chlorinated PCDD/Fs that have higher TEFs accumulate in crab hepatopancreas. This selective bioaccumulation of PCDD/Fs results in a TEQ augmentation in crab hepatopancreas compared with sediments. The bioaccumulation in the blue crab is also selective for PCDD/Fs over DL-PCBs.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11270-011-0837-2","issn":"00496979","usgsCitation":"Liebens, J., Mohrherr, C., Karouna-Renier, N.K., Snyder, R., and Rao, K., 2011, Associations between dioxins/furans and dioxin-like PCBs in estuarine sediment and blue crab: Water, Air, & Soil Pollution, v. 222, no. 1-4, p. 403-419, https://doi.org/10.1007/s11270-011-0837-2.","productDescription":"17 p.","startPage":"403","endPage":"419","numberOfPages":"17","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":241344,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"222","issue":"1-4","noUsgsAuthors":false,"publicationDate":"2011-05-28","publicationStatus":"PW","scienceBaseUri":"5059ee93e4b0c8380cd49e33","contributors":{"authors":[{"text":"Liebens, J.","contributorId":19787,"corporation":false,"usgs":true,"family":"Liebens","given":"J.","email":"","affiliations":[],"preferred":false,"id":436389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mohrherr, C.J.","contributorId":80090,"corporation":false,"usgs":true,"family":"Mohrherr","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":436393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karouna-Renier, Natalie K. 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":141213,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","middleInitial":"K.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":436390,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snyder, R.A.","contributorId":28437,"corporation":false,"usgs":true,"family":"Snyder","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":436391,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rao, K.R.","contributorId":29652,"corporation":false,"usgs":true,"family":"Rao","given":"K.R.","email":"","affiliations":[],"preferred":false,"id":436392,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034409,"text":"70034409 - 2011 - The influence of irrigation water on the hydrology and lake water budgets of two small arid-climate lakes in Khorezm, Uzbekistan","interactions":[],"lastModifiedDate":"2013-04-25T12:16:48","indexId":"70034409","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"The influence of irrigation water on the hydrology and lake water budgets of two small arid-climate lakes in Khorezm, Uzbekistan","docAbstract":"Little is known regarding the origins and hydrology of hundreds of small lakes located in the western Uzbekistan province of Khorezm, Central Asia. Situated in the Aral Sea Basin, Khorezm is a productive agricultural region, growing mainly cotton, wheat, and rice. Irrigation is provided by an extensive canal network that conveys water from the Amu Darya River (AD) throughout the province. The region receives on average 10 cm/year of precipitation, yet potential evapotranspiration exceeds this amount by about 15 times. It was hypothesized that the perennial existence of the lakes of interest depends on periodic input of excess irrigation water. This hypothesis was investigated by studying two small lakes in the region, Tuyrek and Khodjababa. In June and July 2008, surface water and shallow groundwater samples were collected at these lake systems and surrounding communities and analyzed for δ<sup>2</sup>H, δ<sup>18</sup>O, and major ion hydrochemistry to determine water sources. Water table and lake surface elevations were monitored, and the local aquifer characteristics were determined through aquifer tests. These data and climate data from a Class A evaporation pan and meteorological stations were used to estimate water budgets for both lakes. Lake evaporation was found to be about 0.7 cm/day during the study period. Results confirm that the waters sampled at both lake systems and throughout central Khorezm were evaporated from AD water to varying degrees. Together, the water budgets and stable isotope and major ion hydrochemistry data suggest that without surface water input from some source (i.e. excess irrigation water), these and other Khorezm lakes with similar hydrology may decrease in volume dramatically, potentially to the point of complete desiccation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jhydrol.2011.09.028","issn":"00221694","usgsCitation":"Scott, J., Rosen, M.R., Saito, L., and Decker, D., 2011, The influence of irrigation water on the hydrology and lake water budgets of two small arid-climate lakes in Khorezm, Uzbekistan: Journal of Hydrology, v. 410, no. 1-2, p. 114-125, https://doi.org/10.1016/j.jhydrol.2011.09.028.","productDescription":"12 p.","startPage":"114","endPage":"125","numberOfPages":"12","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":244531,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216648,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2011.09.028"}],"country":"Uzbekistan","state":"Khorezm","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60.06,40.56 ], [ 60.06,42.00 ], [ 62.36,42.00 ], [ 62.36,40.56 ], [ 60.06,40.56 ] ] ] } } ] }","volume":"410","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bad2ae4b08c986b323a11","contributors":{"authors":[{"text":"Scott, J.","contributorId":57795,"corporation":false,"usgs":false,"family":"Scott","given":"J.","affiliations":[],"preferred":false,"id":445648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosen, Michael R.","contributorId":43096,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":445647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saito, L.","contributorId":59402,"corporation":false,"usgs":true,"family":"Saito","given":"L.","email":"","affiliations":[],"preferred":false,"id":445649,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Decker, D.L.","contributorId":71797,"corporation":false,"usgs":true,"family":"Decker","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":445650,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032446,"text":"70032446 - 2011 - Shortnose sturgeon use small coastal rivers: The importance of habitat connectivity","interactions":[],"lastModifiedDate":"2017-11-14T14:29:32","indexId":"70032446","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Shortnose sturgeon use small coastal rivers: The importance of habitat connectivity","docAbstract":"<p><span>Contrary to conventional wisdom for shortnose sturgeon (</span><i>Acipenser brevirostrum</i><span>), we document shortnose sturgeon use of habitats beyond large rivers. Telemetry data from 2008 to 2010 in the Gulf of Maine demonstrates that adult shortnose sturgeon (up to 70%) frequently move between Maine’s two largest rivers, the Kennebec and Penobscot Rivers. Even more interesting, small rivers located between these watersheds were used by 52% of the coastal migrants. Small river use was not trivial, 80% of observed movements extended more than 10&nbsp;km upstream. However, visits were short in duration. This pattern indicates one of several possibilities: directed use of resources, searching behaviors related to reproduction (i.e. straying) or undirected wandering. Data suggest a relationship between residence time in small rivers and distance to the lowermost barrier. Restoring connectivity to upstream habitats in these rivers could allow opportunities for metapopulation expansion. Regional management of shortnose sturgeon in the Gulf of Maine should incorporate a habitat framework that considers small coastal rivers.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1439-0426.2011.01826.x","issn":"01758659","usgsCitation":"Zydlewski, G., Kinnison, M., Dionne, P., Zydlewski, J.D., and Wippelhauser, G.S., 2011, Shortnose sturgeon use small coastal rivers: The importance of habitat connectivity: Journal of Applied Ichthyology, v. 27, no. s2, p. 41-44, https://doi.org/10.1111/j.1439-0426.2011.01826.x.","productDescription":"4 p.","startPage":"41","endPage":"44","numberOfPages":"4","ipdsId":"IP-028647","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":241342,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213690,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1439-0426.2011.01826.x"}],"country":"United States","state":"Maine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.1422119140625,\n              43.6599240747891\n            ],\n            [\n              -68.52996826171875,\n              43.6599240747891\n            ],\n            [\n              -68.52996826171875,\n              44.88506649401471\n            ],\n            [\n              -70.1422119140625,\n              44.88506649401471\n            ],\n            [\n              -70.1422119140625,\n              43.6599240747891\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"s2","noUsgsAuthors":false,"publicationDate":"2011-12-05","publicationStatus":"PW","scienceBaseUri":"505b8ee4e4b08c986b318be6","contributors":{"authors":[{"text":"Zydlewski, Gayle B.","contributorId":139211,"corporation":false,"usgs":false,"family":"Zydlewski","given":"Gayle B.","affiliations":[{"id":12606,"text":"University of Maine, Dept of Plant, Soil, & Envir Sciences","active":true,"usgs":false}],"preferred":false,"id":436226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinnison, M.T.","contributorId":85410,"corporation":false,"usgs":true,"family":"Kinnison","given":"M.T.","email":"","affiliations":[],"preferred":false,"id":436228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dionne, P.E.","contributorId":83747,"corporation":false,"usgs":true,"family":"Dionne","given":"P.E.","email":"","affiliations":[],"preferred":false,"id":436227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":436224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wippelhauser, Gail S.","contributorId":169680,"corporation":false,"usgs":false,"family":"Wippelhauser","given":"Gail","email":"","middleInitial":"S.","affiliations":[{"id":25571,"text":"Maine Department of Marine Resources, Augusta, ME","active":true,"usgs":false}],"preferred":false,"id":436225,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032415,"text":"70032415 - 2011 - A heuristic simulation model of Lake Ontario circulation and mass balance transport","interactions":[],"lastModifiedDate":"2012-03-12T17:21:20","indexId":"70032415","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A heuristic simulation model of Lake Ontario circulation and mass balance transport","docAbstract":"The redistribution of suspended organisms and materials by large-scale currents is part of natural ecological processes in large aquatic systems but can contribute to ecosystem disruption when exotic elements are introduced into the system. Toxic compounds and planktonic organisms spend various lengths of time in suspension before settling to the bottom or otherwise being removed. We constructed a simple physical simulation model, including the influence of major tributaries, to qualitatively examine circulation patterns in Lake Ontario. We used a simple mass balance approach to estimate the relative water input to and export from each of 10 depth regime-specific compartments (nearshore vs. offshore) comprising Lake Ontario. Despite its simplicity, our model produced circulation patterns similar to those reported by more complex studies in the literature. A three-gyre pattern, with the classic large counterclockwise central lake circulation, and a simpler two-gyre system were both observed. These qualitative simulations indicate little offshore transport along the south shore, except near the mouths of the Niagara River and Oswego River. Complex flow structure was evident, particularly near the Niagara River mouth and in offshore waters of the eastern basin. Average Lake Ontario residence time is 8 years, but the fastest model pathway indicated potential transport of plankton through the lake in as little as 60 days. This simulation illustrates potential invasion pathways and provides rough estimates of planktonic larval dispersal or chemical transport among nearshore and offshore areas of Lake Ontario. ?? 2011 Taylor & Francis.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Freshwater Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1080/02705060.2011.553928","issn":"02705060","usgsCitation":"McKenna, J., and Chalupnicki, M., 2011, A heuristic simulation model of Lake Ontario circulation and mass balance transport: Journal of Freshwater Ecology, v. 26, no. 1, p. 123-132, https://doi.org/10.1080/02705060.2011.553928.","startPage":"123","endPage":"132","numberOfPages":"10","costCenters":[],"links":[{"id":475084,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2011.553928","text":"Publisher Index Page"},{"id":213717,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02705060.2011.553928"},{"id":241372,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e41be4b0c8380cd463f6","contributors":{"authors":[{"text":"McKenna, J.E. Jr.","contributorId":106065,"corporation":false,"usgs":true,"family":"McKenna","given":"J.E.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":436053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalupnicki, M.A.","contributorId":37966,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"M.A.","affiliations":[],"preferred":false,"id":436052,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032414,"text":"70032414 - 2011 - Seasonal timing of first rain storms affects rare plant population dynamics","interactions":[],"lastModifiedDate":"2013-03-07T09:55:03","indexId":"70032414","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal timing of first rain storms affects rare plant population dynamics","docAbstract":"A major challenge in forecasting the ecological consequences of climate change is understanding the relative importance of changes to mean conditions vs. changes to discrete climatic events, such as storms, frosts, or droughts. Here we show that the first major storm of the growing season strongly influences the population dynamics of three rare and endangered annual plant species in a coastal California (USA) ecosystem. In a field experiment we used moisture barriers and water addition to manipulate the timing and temperature associated with first major rains of the season. The three focal species showed two- to fivefold variation in per capita population growth rates between the different storm treatments, comparable to variation found in a prior experiment imposing eightfold differences in season-long precipitation. Variation in germination was a major demographic driver of how two of three species responded to the first rains. For one of these species, the timing of the storm was the most critical determinant of its germination, while the other showed enhanced germination with colder storm temperatures. The role of temperature was further supported by laboratory trials showing enhanced germination in cooler treatments. Our work suggests that, because of species-specific cues for demographic transitions such as germination, changes to discrete climate events may be as, if not more, important than changes to season-long variables.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/11-0471.1","issn":"00129658","usgsCitation":"Levine, J., McEachern, A.K., and Cowan, C., 2011, Seasonal timing of first rain storms affects rare plant population dynamics: Ecology, v. 92, no. 12, p. 2236-2247, https://doi.org/10.1890/11-0471.1.","productDescription":"12 p.","startPage":"2236","endPage":"2247","numberOfPages":"12","costCenters":[],"links":[{"id":213688,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-0471.1"},{"id":241339,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b88dde4b08c986b316bee","contributors":{"authors":[{"text":"Levine, J.M.","contributorId":77748,"corporation":false,"usgs":true,"family":"Levine","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":436051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McEachern, A. K.","contributorId":29777,"corporation":false,"usgs":true,"family":"McEachern","given":"A.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":436049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cowan, C.","contributorId":46777,"corporation":false,"usgs":true,"family":"Cowan","given":"C.","email":"","affiliations":[],"preferred":false,"id":436050,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032388,"text":"70032388 - 2011 - Migration delays caused by anthropogenic barriers: Modeling dams, temperature, and success of migrating salmon smolts","interactions":[],"lastModifiedDate":"2012-03-12T17:21:20","indexId":"70032388","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Migration delays caused by anthropogenic barriers: Modeling dams, temperature, and success of migrating salmon smolts","docAbstract":"Disruption to migration is a growing problem for conservation and restoration of animal populations. Anthropogenic barriers along migration paths can delay or prolong migrations, which may result in a mismatch with migration-timing adaptations. To understand the interaction of dams (as barriers along a migration path), seasonally changing environmental conditions, timing of Atlantic salmon (Salmo salar) downstream migration, and ultimate migration success, we used 10 years of river temperature and discharge data as a template upon which we simulated downstream movement of salmon. Atlantic salmon is a cool-water species whose downstream migrating smolts must complete migration before river temperatures become too warm. We found that dams had a local effect on survival as well as a survival effect that was spatially and temporally removed from the encounter with the dam. While smolts are delayed by dams, temperatures downstream can reach lethal or near-lethal temperatures;as a result, the match between completion of migration and the window of appropriate migration conditions can be disrupted. The strength of this spatially and temporally removed effect is at least comparable to the local effects of dams in determining smolt migration success in the presence of dams. We also considered smolts from different tributaries, varying in distance from the river mouth, to assess the potential importance of locally adapted migration timing on the effect of barriers. Migration-initiation temperature affected modeled smolt survival differentially across tributaries, with the success of smolts from upstream tributaries being much more variable across years than that of smolts with a shorter distance to travel. As a whole, these results point to the importance of broadening our spatial and temporal view when managing migrating populations. We must consider not only how many individuals never make it across migration barriers, but also the spatially and temporally removed consequences of delays at the barriers for those individuals that successfully navigate them. ??2011 by the Ecological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/10-0593.1","issn":"10510761","usgsCitation":"Marschall, E., Mather, M.E., Parrish, D., Allison, G., and McMenemy, J., 2011, Migration delays caused by anthropogenic barriers: Modeling dams, temperature, and success of migrating salmon smolts: Ecological Applications, v. 21, no. 8, p. 3014-3031, https://doi.org/10.1890/10-0593.1.","startPage":"3014","endPage":"3031","numberOfPages":"18","costCenters":[],"links":[{"id":213813,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/10-0593.1"},{"id":241472,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a56ffe4b0c8380cd6d99f","contributors":{"authors":[{"text":"Marschall, E.A.","contributorId":55124,"corporation":false,"usgs":true,"family":"Marschall","given":"E.A.","email":"","affiliations":[],"preferred":false,"id":435915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mather, M. E.","contributorId":71708,"corporation":false,"usgs":true,"family":"Mather","given":"M.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":435916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parrish, D.L.","contributorId":15144,"corporation":false,"usgs":true,"family":"Parrish","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":435913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allison, G.W.","contributorId":16234,"corporation":false,"usgs":true,"family":"Allison","given":"G.W.","email":"","affiliations":[],"preferred":false,"id":435914,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMenemy, J.R.","contributorId":103480,"corporation":false,"usgs":true,"family":"McMenemy","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":435917,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032329,"text":"70032329 - 2011 - Landslide stability: Role of rainfall-induced, laterally propagating, pore-pressure waves","interactions":[],"lastModifiedDate":"2012-03-12T17:21:25","indexId":"70032329","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1574,"text":"Environmental & Engineering Geoscience","printIssn":"1078-7275","active":true,"publicationSubtype":{"id":10}},"title":"Landslide stability: Role of rainfall-induced, laterally propagating, pore-pressure waves","docAbstract":"The Johnson Creek Landslide is a translational slide in seaward-dipping Miocene siltstone and sandstone (Astoria Formation) and an overlying Quaternary marine terrace deposit. The basal slide plane slopes sub-parallel to the dip of the Miocene rocks, except beneath the back-tilted toe block, where it slopes inland. Rainfall events raise pore-water pressure in the basal shear zone in the form of pulses of water pressure traveling laterally from the headwall graben down the axis of the slide at rates of 1-6 m/hr. Infiltration of meteoric water and vertical pressure transmission through the unsaturated zone has been measured at ~50 mm/hr. Infiltration and vertical pressure transmission were too slow to directly raise head at the basal shear zone prior to landslide movement. Only at the headwall graben was the saturated zone shallow enough for rainfall events to trigger lateral pulses of water pressure through the saturated zone. When pressure levels in the basal shear zone exceeded thresholds defined in this paper, the slide began slow, creeping movement as an intact block. As pressures exceeded thresholds for movement in more of the slide mass, movement accelerated, and differential displacement between internal slide blocks became more pronounced. Rainfall-induced pore-pressure waves are probably a common landslide trigger wherever effective hydraulic conductivity is high and the saturated zone is located near the surface in some part of a slide. An ancillary finding is apparently greater accuracy of grouted piezometers relative to those in sand packs for measurement of pore pressures at the installed depth.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental and Engineering Geoscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2113/gseegeosci.17.4.315","issn":"10787275","usgsCitation":"Priest, G.R., Schulz, W., Ellis, W., Allan, J., Niem, A.R., and Niem, W.A., 2011, Landslide stability: Role of rainfall-induced, laterally propagating, pore-pressure waves: Environmental & Engineering Geoscience, v. 17, no. 4, p. 315-335, https://doi.org/10.2113/gseegeosci.17.4.315.","startPage":"315","endPage":"335","numberOfPages":"21","costCenters":[],"links":[{"id":214917,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2113/gseegeosci.17.4.315"},{"id":242677,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-11-18","publicationStatus":"PW","scienceBaseUri":"505a4434e4b0c8380cd66943","contributors":{"authors":[{"text":"Priest, G. R.","contributorId":19572,"corporation":false,"usgs":true,"family":"Priest","given":"G.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":435632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulz, W.H.","contributorId":61225,"corporation":false,"usgs":true,"family":"Schulz","given":"W.H.","email":"","affiliations":[],"preferred":false,"id":435637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, W. L.","contributorId":40210,"corporation":false,"usgs":true,"family":"Ellis","given":"W. L.","affiliations":[],"preferred":false,"id":435635,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allan, J.A.","contributorId":30062,"corporation":false,"usgs":true,"family":"Allan","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":435633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Niem, A. R.","contributorId":54984,"corporation":false,"usgs":true,"family":"Niem","given":"A.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":435636,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Niem, W. A.","contributorId":40033,"corporation":false,"usgs":true,"family":"Niem","given":"W.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":435634,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192886,"text":"70192886 - 2011 - Nitrogen contamination of surficial aquifers - A growing legacy","interactions":[],"lastModifiedDate":"2021-04-06T19:01:05.958661","indexId":"70192886","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen contamination of surficial aquifers - A growing legacy","docAbstract":"<div id=\"articleMeta\"><div class=\"synopsis hlFld-Abstract\"><p class=\"articleBody_abstractText\">The virtual ubiquity of fertilizer-fed agriculture, increasing over several decades, has become necessary to support the global human population. Ironically, widespread use of nitrogen (N) has contaminated another vital resource: surficial fresh groundwater. Further, as nitrous oxide (N<sub>2</sub>O) is a potent greenhouse gas, anthropogenic manipulation of N budgets has ramifications that can extend far beyond national borders. To get a handle on the size of the problem, Puckett et al. present an approach to track historical contamination and thus analyze trends now and in the past with implications for the future.</p></div></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/es1038358","usgsCitation":"Puckett, L., Tesoriero, A.J., and Dubrovsky, N.M., 2011, Nitrogen contamination of surficial aquifers - A growing legacy: Environmental Science & Technology, v. 45, no. 3, p. 839-844, https://doi.org/10.1021/es1038358.","productDescription":"6 p.","startPage":"839","endPage":"844","ipdsId":"IP-014743","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":348667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70189186,"text":"70189186 - 2011 - Watershed-scale response to climate change through the twenty-first century for selected basins across the United States","interactions":[],"lastModifiedDate":"2017-07-06T14:15:35","indexId":"70189186","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Watershed-scale response to climate change through the twenty-first century for selected basins across the United States","docAbstract":"<p>The hydrologic response of different climate-change emission scenarios for the twenty-first century were evaluated in 14 basins from different hydroclimatic regions across the United States using the Precipitation-Runoff Modeling System (PRMS), a process-based, distributed-parameter watershed model. This study involves four major steps: 1) setup and calibration of the PRMS model in 14 basins across the United States by local U.S. Geological Survey personnel; 2) statistical downscaling of the World Climate Research Programme’s Coupled Model Intercomparison Project phase 3 climate-change emission scenarios to create PRMS input files that reflect these emission scenarios; 3) run PRMS for the climate-change emission scenarios for the 14 basins; and 4) evaluation of the PRMS output.</p><p>This paper presents an overview of this project, details of the methodology, results from the 14 basin simulations, and interpretation of these results. A key finding is that the hydrological response of the different geographical regions of the United States to potential climate change may be very different, depending on the dominant physical processes of that particular region. Also considered is the tremendous amount of uncertainty present in the climate emission scenarios and how this uncertainty propagates through the hydrologic simulations. This paper concludes with a discussion of the lessons learned and potential for future work.</p>","language":"English","publisher":"American meteorological Society","doi":"10.1175/2010EI370.1","usgsCitation":"Hay, L.E., Markstrom, S.L., and Ward-Garrison, C.D., 2011, Watershed-scale response to climate change through the twenty-first century for selected basins across the United States: Earth Interactions, v. 15, p. 1-37, https://doi.org/10.1175/2010EI370.1.","productDescription":"37 p.","startPage":"1","endPage":"37","ipdsId":"IP-022577","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":475178,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/2010ei370.1","text":"Publisher Index Page"},{"id":343428,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2011-06-01","publicationStatus":"PW","scienceBaseUri":"595f4c47e4b0d1f9f057e386","contributors":{"authors":[{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":146553,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven","email":"markstro@usgs.gov","middleInitial":"L.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":703407,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ward-Garrison, Christian D. cwardgar@usgs.gov","contributorId":3835,"corporation":false,"usgs":true,"family":"Ward-Garrison","given":"Christian","email":"cwardgar@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":703405,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035024,"text":"70035024 - 2011 - Demasculinization of male fish by wastewater treatment plant effluent","interactions":[],"lastModifiedDate":"2021-05-28T15:09:24.800561","indexId":"70035024","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Demasculinization of male fish by wastewater treatment plant effluent","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"aep-abstract-id12\" class=\"abstract author\"><div id=\"aep-abstract-sec-id13\"><p id=\"spar0005\">Adult male fathead minnows (<i>Pimephales promelas</i>) were exposed to effluent from the City of Boulder, Colorado wastewater treatment plant (WWTP) under controlled conditions in the field to determine if the effluent induced reproductive disruption in fish. Gonadal intersex and other evidence of reproductive disruption were previously identified in white suckers (<i>Catostomus commersoni</i>) in Boulder Creek downstream from this WWTP effluent outfall. Fish were exposed within a mobile flow-through exposure laboratory in July 2005 and August 2006 to WWTP effluent (EFF), Boulder Creek water (REF), or mixtures of EFF and REF for up to 28 days. Primary (sperm abundance) and secondary (nuptial tubercles and dorsal fat pads) sex characteristics were demasculinized within 14 days of exposure to 50% and 100% EFF. Vitellogenin was maximally elevated in both 50% and 100% EFF treatments within 7 days and significantly elevated by 25% EFF within 14 days. The steroidal estrogens 17β-estradiol, estrone, estriol, and 17α-ethynylestradiol, as well as estrogenic alkylphenols and bisphenol A were identified within the EFF treatments and not in the REF treatment. These results support the hypothesis that the reproductive disruption observed in this watershed is due to endocrine-active chemicals in the WWTP effluent.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquatox.2011.02.007","usgsCitation":"Vajda, A., Barber, L.B., Gray, J.L., Lopez, E., Bolden, A., Schoenfuss, H., and Norris, D., 2011, Demasculinization of male fish by wastewater treatment plant effluent: Aquatic Toxicology, v. 103, no. 3-4, p. 213-221, https://doi.org/10.1016/j.aquatox.2011.02.007.","productDescription":"9 p.","startPage":"213","endPage":"221","numberOfPages":"9","ipdsId":"IP-013216","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"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":243345,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Boulder","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.2021598815918,\n              40.03839224384298\n            ],\n            [\n              -105.17572402954102,\n              40.03839224384298\n            ],\n            [\n              -105.17572402954102,\n              40.05692083088936\n            ],\n            [\n              -105.2021598815918,\n              40.05692083088936\n            ],\n            [\n              -105.2021598815918,\n              40.03839224384298\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"103","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fe79e4b0c8380cd4ed49","contributors":{"authors":[{"text":"Vajda, A.M.","contributorId":35961,"corporation":false,"usgs":true,"family":"Vajda","given":"A.M.","affiliations":[],"preferred":false,"id":448930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":779279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, James L. 0000-0002-0807-5635 jlgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":1253,"corporation":false,"usgs":true,"family":"Gray","given":"James","email":"jlgray@usgs.gov","middleInitial":"L.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":true,"id":779280,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lopez, E.M.","contributorId":107520,"corporation":false,"usgs":true,"family":"Lopez","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":448935,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bolden, A.M.","contributorId":91707,"corporation":false,"usgs":true,"family":"Bolden","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":448933,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schoenfuss, H.L.","contributorId":103877,"corporation":false,"usgs":true,"family":"Schoenfuss","given":"H.L.","affiliations":[],"preferred":false,"id":448934,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Norris, D.O.","contributorId":58475,"corporation":false,"usgs":true,"family":"Norris","given":"D.O.","email":"","affiliations":[],"preferred":false,"id":448931,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70035152,"text":"70035152 - 2011 - Distribution of lake sturgeon in New York: 11 years of restoration management","interactions":[],"lastModifiedDate":"2021-03-01T17:30:50.073762","indexId":"70035152","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Distribution of lake sturgeon in New York: 11 years of restoration management","docAbstract":"<p><span>Lake sturgeon (</span><span class=\"genus-species\">Acipenser fulvescens</span><span>) are native within the Lake Ontario drainage basin and listed as threatened by New York State. In 1995 the New York State Department of Environmental Conservation (NYSDEC) initiated restoration management of lake sturgeon. This management included both protection of extant populations and stocking of uninhabited historic waters with juvenile sturgeon. A list compiled by NYSDEC of observations of lake sturgeon from New York State waters for the period encompassing 1800–2005 was combined with recent observations through 2008 and formatted (Geographic Information System) to allow mapping of sturgeon geographical distribution. Distributions of pre- and post-restoration sturgeon were examined by occurrence and type of observation. Distribution patterns indicated lakes and rivers with current sturgeon presence have increased from five to eight, which was the first-phase goal of the New York Lake Sturgeon Recovery Plan. Lake sturgeon have started to expand into joining water to include the Indian R., Oneida R., Seneca R. and Oswego R. The protected historic populations in the Niagara R., Grasse R., St. Lawrence R., and Lakes Erie and Ontario continue to have low numbers of sturgeon observations. This summary of mapped lake sturgeon distribution information will help in guiding research assessments to waters containing substantial populations. These accessible reaches provide a generous advantage to the released juveniles as they move toward the next goal of restoration, spawning of sturgeon in targeted waters.</span></p>","largerWorkTitle":"American Midland Naturalist","language":"English","publisher":"BioOne","doi":"10.1674/0003-0031-165.2.364","issn":"00030031","usgsCitation":"Chalupnicki, M., Dittman, D.E., and Carlson, D., 2011, Distribution of lake sturgeon in New York: 11 years of restoration management: American Midland Naturalist, v. 165, no. 2, p. 364-371, https://doi.org/10.1674/0003-0031-165.2.364.","productDescription":"8 p.","startPage":"364","endPage":"371","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":243258,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215451,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1674/0003-0031-165.2.364"}],"country":"United States","state":"New York","otherGeospatial":"Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.9365234375,\n              43.26120612479979\n            ],\n            [\n              -78.046875,\n              43.004647127794435\n            ],\n            [\n              -75.8056640625,\n              43.58039085560784\n            ],\n            [\n              -75.7177734375,\n              44.15068115978094\n            ],\n            [\n              -76.9482421875,\n              44.465151013519616\n            ],\n            [\n              -79.1015625,\n              44.24519901522129\n            ],\n            [\n              -79.9365234375,\n              43.48481212891603\n            ],\n            [\n              -79.9365234375,\n              43.26120612479979\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"165","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a02dce4b0c8380cd50222","contributors":{"authors":[{"text":"Chalupnicki, Marc 0000-0002-3792-9345 mchalupnicki@usgs.gov","orcid":"https://orcid.org/0000-0002-3792-9345","contributorId":173643,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","email":"mchalupnicki@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":449508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dittman, Dawn E. 0000-0002-0711-3732 ddittman@usgs.gov","orcid":"https://orcid.org/0000-0002-0711-3732","contributorId":2762,"corporation":false,"usgs":true,"family":"Dittman","given":"Dawn","email":"ddittman@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":449507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlson, D.M.","contributorId":45537,"corporation":false,"usgs":true,"family":"Carlson","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":449509,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034405,"text":"70034405 - 2011 - Investigating the spatial distribution of water levels in the Mackenzie Delta using airborne LiDAR","interactions":[],"lastModifiedDate":"2021-04-21T16:38:21.588417","indexId":"70034405","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Investigating the spatial distribution of water levels in the Mackenzie Delta using airborne LiDAR","docAbstract":"<p><span>Airborne light detection and ranging (LiDAR) data were used to map water level (WL) and hydraulic gradients (δH/δx) in the Mackenzie Delta. The LiDAR WL data were validated against eight independent hydrometric gauge measurements and demonstrated mean offsets from − 0·22 to + 0·04 m (σ&lt; 0·11). LiDAR‐based WL gradients could be estimated with confidence over channel lengths exceeding 5–10 km where the WL change exceeded local noise levels in the LiDAR data. For the entire Delta, the LiDAR sample coverage indicated a rate of change in longitudinal gradient (δ</span><sup>2</sup><span>H/δx) of 5·5 × 10</span><sup>−10</sup><span>&nbsp;m m</span><sup>−2</sup><span>; therefore offering a potential means to estimate average flood stage hydraulic gradient for areas of the Delta not sampled or monitored. In the Outer Delta, within‐channel and terrain gradient measurements all returned a consistent estimate of − 1 × 10</span><sup>−5</sup><span>&nbsp;m m</span><sup>−1</sup><span>, suggesting that this is a typical hydraulic gradient for the downstream end of the Delta. For short reaches (&lt;10 km) of the Peel and Middle Channels in the middle of the Delta, significant and consistent hydraulic gradient estimates of − 5 × 10</span><sup>−5</sup><span>&nbsp;m m</span><sup>−1</sup><span>&nbsp;were observed. Evidence that hydraulic gradients can vary over short distances, however, was observed in the Peel Channel immediately upstream of Aklavik. A positive elevation anomaly (bulge) of &gt; 0·1 m was observed at a channel constriction entering a meander bend, suggesting a localized modification of the channel hydraulics. Furthermore, water levels in the anabranch channels of the Peel River were almost 1 m higher than in Middle Channel of the Mackenzie River. This suggests: (i) the channels are elevated and have shallower bank heights in this part of the delta, leading to increased cross‐delta and along‐channel hydraulic gradients; and/or (ii) a proportion of the Peel River flow is lost to Middle Channel due to drainage across the delta through anastamosing channels. This study has demonstrated that airborne LiDAR data contain valuable information describing Arctic river delta water surface and hydraulic attributes that would be challenging to acquire by other means.&nbsp;</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.8167","issn":"08856087","usgsCitation":"Hopkinson, C., Crasto, N., Marsh, P., Forbes, D., and Lesack, L., 2011, Investigating the spatial distribution of water levels in the Mackenzie Delta using airborne LiDAR: Hydrological Processes, v. 25, no. 19, p. 2995-3011, https://doi.org/10.1002/hyp.8167.","productDescription":"17 p.","startPage":"2995","endPage":"3011","costCenters":[],"links":[{"id":244441,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216563,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.8167"}],"country":"Canada","otherGeospatial":"Mackenzie Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -136.669921875,\n              67.09310451852075\n            ],\n            [\n              -130.60546875,\n              67.09310451852075\n            ],\n            [\n              -130.60546875,\n              69.90011762668541\n            ],\n            [\n              -136.669921875,\n              69.90011762668541\n            ],\n            [\n              -136.669921875,\n              67.09310451852075\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"19","noUsgsAuthors":false,"publicationDate":"2011-06-03","publicationStatus":"PW","scienceBaseUri":"505a3e71e4b0c8380cd63dac","contributors":{"authors":[{"text":"Hopkinson, C.","contributorId":67749,"corporation":false,"usgs":true,"family":"Hopkinson","given":"C.","email":"","affiliations":[],"preferred":false,"id":445616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crasto, N.","contributorId":21369,"corporation":false,"usgs":true,"family":"Crasto","given":"N.","email":"","affiliations":[],"preferred":false,"id":445614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marsh, P.","contributorId":99279,"corporation":false,"usgs":true,"family":"Marsh","given":"P.","affiliations":[],"preferred":false,"id":445618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forbes, D.","contributorId":57681,"corporation":false,"usgs":true,"family":"Forbes","given":"D.","email":"","affiliations":[],"preferred":false,"id":445615,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lesack, L.","contributorId":84177,"corporation":false,"usgs":true,"family":"Lesack","given":"L.","email":"","affiliations":[],"preferred":false,"id":445617,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034823,"text":"70034823 - 2011 - Modeling hot spring chemistries with applications to martian silica formation","interactions":[],"lastModifiedDate":"2021-03-16T11:53:26.05945","indexId":"70034823","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Modeling hot spring chemistries with applications to martian silica formation","docAbstract":"<p id=\"sp010\"><span>Many recent studies have implicated&nbsp;hydrothermal systems&nbsp;as the origin of martian minerals across a wide range of martian sites. Particular support for hydrothermal systems include silica (SiO</span><sub>2</sub><span>) deposits, in some cases &gt;90% silica, in the Gusev&nbsp;Crater&nbsp;region, especially in the Columbia Hills and at Home Plate. We have developed a model called CHEMCHAU that can be used up to 100</span>&nbsp;°C to simulate hot springs associated with hydrothermal systems. The model was partially derived from FREZCHEM, which is a colder temperature model parameterized for broad ranges of temperature (&lt;−70 to 25&nbsp;°C), pressure (1–1000 bars), and chemical composition. We demonstrate the validity of Pitzer parameters, volumetric parameters, and equilibrium constants in the CHEMCHAU model for the Na–K–Mg–Ca–H–Cl–ClO<sub>4</sub>–SO<sub>4</sub>–OH–HCO<sub>3</sub>–CO<sub>3</sub>–CO<sub>2</sub>–O<sub>2</sub>–CH<sub>4</sub>–Si–H<sub>2</sub>O system up to 100&nbsp;°C and apply the model to hot springs and silica deposits.</p><p id=\"sp015\"><span>A theoretical simulation of silica and&nbsp;<a title=\"Learn more about Calcite from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/calcite\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/calcite\">calcite</a>&nbsp;equilibrium shows how calcite is least soluble with high pH and high temperatures, while silica behaves oppositely. Such influences imply that differences in temperature and pH on Mars could lead to very distinct mineral assemblages. Using measured solution chemistries of Yellowstone hot springs and Icelandic hot springs, we simulate salts formed during the evaporation of two low pH cases (high and low temperatures) and a high temperature, alkaline (high pH) sodic water. Simulation of an acid-sulfate case leads to precipitation of Fe and Al minerals along with silica. Consistency with martian mineral assemblages suggests that hot, acidic&nbsp;<a title=\"Learn more about Sulphate from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/sulphate\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/sulphate\">sulfate</a>&nbsp;solutions are plausibility progenitors of minerals in the past on Mars. In the alkaline pH (8.45) simulation, formation of silica at high temperatures (355</span>&nbsp;K) led to precipitation of anhydrous minerals (CaSO<sub>4</sub>, Na<sub>2</sub>SO<sub>4</sub>) that was also the case for the high temperature (353&nbsp;K) low pH case where anhydrous minerals (NaCl, CaSO<sub>4</sub>) also precipitated. Thus we predict that secondary minerals associated with massive silica deposits are plausible indicators on Mars of precipitation environments and aqueous chemistry. Theoretical model calculations are in reasonable agreement with independent experimental silica concentrations, which strengthens the validity of the new CHEMCHAU model.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2011.01.035","issn":"00191035","usgsCitation":"Marion, G., Catling, D., Crowley, J., and Kargel, J., 2011, Modeling hot spring chemistries with applications to martian silica formation: Icarus, v. 212, no. 2, p. 629-642, https://doi.org/10.1016/j.icarus.2011.01.035.","productDescription":"14 p.","startPage":"629","endPage":"642","costCenters":[],"links":[{"id":243457,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"212","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c00e4b0c8380cd6f972","contributors":{"authors":[{"text":"Marion, G.M.","contributorId":44691,"corporation":false,"usgs":true,"family":"Marion","given":"G.M.","email":"","affiliations":[],"preferred":false,"id":447810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Catling, D.C.","contributorId":78135,"corporation":false,"usgs":true,"family":"Catling","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":447811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crowley, J.K.","contributorId":103690,"corporation":false,"usgs":true,"family":"Crowley","given":"J.K.","email":"","affiliations":[],"preferred":false,"id":447813,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kargel, J.S.","contributorId":88096,"corporation":false,"usgs":true,"family":"Kargel","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":447812,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034730,"text":"70034730 - 2011 - Engineering a future for amphibians under climate change","interactions":[],"lastModifiedDate":"2013-05-12T00:07:35","indexId":"70034730","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Engineering a future for amphibians under climate change","docAbstract":"1. Altered global climates in the 21st century pose serious threats for biological systems and practical actions are needed to mount a response for species at risk.\n\n2. We identify management actions from across the world and from diverse disciplines that are applicable to minimizing loss of amphibian biodiversity under climate change. Actions were grouped under three thematic areas of intervention: (i) installation of microclimate and microhabitat refuges; (ii) enhancement and restoration of breeding sites; and (iii) manipulation of hydroperiod or water levels at breeding sites.\n\n3. Synthesis and applications. There are currently few meaningful management actions that will tangibly impact the pervasive threat of climate change on amphibians. A host of potentially useful but poorly tested actions could be incorporated into local or regional management plans, programmes and activities for amphibians. Examples include: installation of irrigation sprayers to manipulate water potentials at breeding sites; retention or supplementation of natural and artificial shelters (e.g. logs, cover boards) to reduce desiccation and thermal stress; manipulation of canopy cover over ponds to reduce water temperature; and, creation of hydrologoically diverse wetland habitats capable of supporting larval development under variable rainfall regimes. We encourage researchers and managers to design, test and scale up new initiatives to respond to this emerging crisis.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2664.2010.01942.x","issn":"00218901","usgsCitation":"Shoo, L., Olson, D., Mcmenamin, S., Murray, K., Van Sluys, M., Donnelly, M., Stratford, D., Terhivuo, J., Merino-Viteri, A., Herbert, S., Bishop, P., Corn, P., Dovey, L., Griffiths, R., Lowe, K., Mahony, M., McCallum, H., Shuker, J., Simpkins, C., Skerratt, L., Williams, S., and Hero, J., 2011, Engineering a future for amphibians under climate change: Journal of Applied Ecology, v. 48, no. 2, p. 487-492, https://doi.org/10.1111/j.1365-2664.2010.01942.x.","productDescription":"6 p.","startPage":"487","endPage":"492","costCenters":[{"id":527,"text":"Pacific Northwest Research Station","active":false,"usgs":true}],"links":[{"id":215726,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2664.2010.01942.x"},{"id":243548,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-02-02","publicationStatus":"PW","scienceBaseUri":"505a0954e4b0c8380cd51e92","contributors":{"authors":[{"text":"Shoo, L.P.","contributorId":93295,"corporation":false,"usgs":true,"family":"Shoo","given":"L.P.","email":"","affiliations":[],"preferred":false,"id":447263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olson, D.H.","contributorId":85349,"corporation":false,"usgs":true,"family":"Olson","given":"D.H.","affiliations":[],"preferred":false,"id":447261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mcmenamin, S.K.","contributorId":27699,"corporation":false,"usgs":true,"family":"Mcmenamin","given":"S.K.","email":"","affiliations":[],"preferred":false,"id":447250,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murray, K.A.","contributorId":94880,"corporation":false,"usgs":true,"family":"Murray","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":447264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Sluys, M.","contributorId":61259,"corporation":false,"usgs":true,"family":"Van Sluys","given":"M.","email":"","affiliations":[],"preferred":false,"id":447253,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Donnelly, M.A.","contributorId":78845,"corporation":false,"usgs":true,"family":"Donnelly","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":447258,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stratford, D.","contributorId":89372,"corporation":false,"usgs":true,"family":"Stratford","given":"D.","email":"","affiliations":[],"preferred":false,"id":447262,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Terhivuo, J.","contributorId":7934,"corporation":false,"usgs":true,"family":"Terhivuo","given":"J.","email":"","affiliations":[],"preferred":false,"id":447246,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Merino-Viteri, A.","contributorId":103892,"corporation":false,"usgs":true,"family":"Merino-Viteri","given":"A.","email":"","affiliations":[],"preferred":false,"id":447267,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Herbert, S.M.","contributorId":16240,"corporation":false,"usgs":true,"family":"Herbert","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":447247,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bishop, P.J.","contributorId":96501,"corporation":false,"usgs":true,"family":"Bishop","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":447265,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Corn, P.S.","contributorId":63751,"corporation":false,"usgs":true,"family":"Corn","given":"P.S.","affiliations":[],"preferred":false,"id":447254,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Dovey, L.","contributorId":59647,"corporation":false,"usgs":true,"family":"Dovey","given":"L.","email":"","affiliations":[],"preferred":false,"id":447252,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Griffiths, R.A.","contributorId":24193,"corporation":false,"usgs":true,"family":"Griffiths","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":447249,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lowe, K.","contributorId":70587,"corporation":false,"usgs":true,"family":"Lowe","given":"K.","email":"","affiliations":[],"preferred":false,"id":447256,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Mahony, M.","contributorId":82553,"corporation":false,"usgs":true,"family":"Mahony","given":"M.","email":"","affiliations":[],"preferred":false,"id":447259,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"McCallum, H.","contributorId":70990,"corporation":false,"usgs":true,"family":"McCallum","given":"H.","email":"","affiliations":[],"preferred":false,"id":447257,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Shuker, J.D.","contributorId":23354,"corporation":false,"usgs":true,"family":"Shuker","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":447248,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Simpkins, C.","contributorId":70207,"corporation":false,"usgs":true,"family":"Simpkins","given":"C.","email":"","affiliations":[],"preferred":false,"id":447255,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Skerratt, L.F.","contributorId":85149,"corporation":false,"usgs":true,"family":"Skerratt","given":"L.F.","email":"","affiliations":[],"preferred":false,"id":447260,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Williams, S.E.","contributorId":44002,"corporation":false,"usgs":true,"family":"Williams","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":447251,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Hero, J.-M.","contributorId":100999,"corporation":false,"usgs":true,"family":"Hero","given":"J.-M.","affiliations":[],"preferred":false,"id":447266,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70033854,"text":"70033854 - 2011 - Polar bear population status in the northern Beaufort Sea, Canada, 1971-2006","interactions":[],"lastModifiedDate":"2016-06-02T12:54:58","indexId":"70033854","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Polar bear population status in the northern Beaufort Sea, Canada, 1971-2006","docAbstract":"<p><span>Polar bears (</span><span class=\"genusSpeciesInfoAsset\">Ursus maritimus</span><span>) of the northern Beaufort Sea (NB) population occur on the perimeter of the polar basin adjacent to the northwestern islands of the Canadian Arctic Archipelago. Sea ice converges on the islands through most of the year. We used open-population capture&ndash;recapture models to estimate population size and vital rates of polar bears between 1971 and 2006 to: (1) assess relationships between survival, sex and age, and time period; (2) evaluate the long-term importance of sea ice quality and availability in relation to climate warming; and (3) note future management and conservation concerns. The highest-ranking models suggested that survival of polar bears varied by age class and with changes in the sea ice habitat. Model-averaged estimates of survival (which include harvest mortality) for senescent adults ranged from 0.37 to 0.62, from 0.22 to 0.68 for cubs of the year (COY) and yearlings, and from 0.77 to 0.92 for 2&ndash;4 year-olds and adults. Horvtiz-Thompson (HT) estimates of population size were not significantly different among the decades of our study. The population size estimated for the 2000s was 980 &plusmn; 155 (mean and 95% CI). These estimates apply primarily to that segment of the NB population residing west and south of Banks Island. The NB polar bear population appears to have been stable or possibly increasing slightly during the period of our study. This suggests that ice conditions have remained suitable and similar for feeding in summer and fall during most years and that the traditional and legal Inuvialuit harvest has not exceeded sustainable levels. However, the amount of ice remaining in the study area at the end of summer, and the proportion that continues to lie over the biologically productive continental shelf (&lt;300 m water depth) has declined over the 35-year period of this study. If the climate continues to warm as predicted, we predict that the polar bear population in the northern Beaufort Sea will eventually decline. Management and conservation practices for polar bears in relation to both aboriginal harvesting and offshore industrial activity will need to adapt.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/10-0849.1","issn":"10510761","usgsCitation":"Stirling, I., McDonald, T.L., Richardson, E., Regehr, E., and Amstrup, S.C., 2011, Polar bear population status in the northern Beaufort Sea, Canada, 1971-2006: Ecological Applications, v. 21, no. 3, p. 859-876, https://doi.org/10.1890/10-0849.1.","productDescription":"18 p.","startPage":"859","endPage":"876","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":241844,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214150,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/10-0849.1"}],"volume":"21","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7cc1e4b0c8380cd79b76","contributors":{"authors":[{"text":"Stirling, I.","contributorId":103615,"corporation":false,"usgs":false,"family":"Stirling","given":"I.","email":"","affiliations":[],"preferred":false,"id":442849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonald, T. L.","contributorId":101211,"corporation":false,"usgs":false,"family":"McDonald","given":"T.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":442848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richardson, E.S.","contributorId":47991,"corporation":false,"usgs":true,"family":"Richardson","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":442845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Regehr, E.V.","contributorId":90937,"corporation":false,"usgs":true,"family":"Regehr","given":"E.V.","affiliations":[],"preferred":false,"id":442847,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":442846,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034401,"text":"70034401 - 2011 - Fluoride geochemistry of thermal waters in Yellowstone National Park: I. Aqueous fluoride speciation","interactions":[],"lastModifiedDate":"2020-01-28T16:41:22","indexId":"70034401","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Fluoride geochemistry of thermal waters in Yellowstone National Park: I. Aqueous fluoride speciation","docAbstract":"<p><span>Thermal water samples from Yellowstone National Park (YNP) have a wide range of pH (1–10), temperature, and high concentrations of fluoride (up to 50</span><span>&nbsp;</span><span>mg/l). High fluoride concentrations are found in waters with field pH higher than 6 (except those in Crater Hills) and temperatures higher than 50</span><span>&nbsp;</span><span>°C based on data from more than 750 water samples covering most thermal areas in YNP from 1975 to 2008. In this study, more than 140 water samples from YNP collected in 2006–2009 were analyzed for free-fluoride activity by ion-selective electrode (ISE) method as an independent check on the reliability of fluoride speciation calculations. The free to total fluoride concentration ratio ranged from &lt;1% at low pH values to &gt;99% at high pH. The wide range in fluoride activity can be explained by strong complexing with H</span><sup>+</sup><span><span>&nbsp;</span>and Al</span><sup>3+</sup><span><span>&nbsp;</span>under acidic conditions and lack of complexing under basic conditions. Differences between the free-fluoride activities calculated with the WATEQ4F code and those measured by ISE were within 0.3–30% for more than 90% of samples at or above 10</span><sup>−6</sup><span><span>&nbsp;</span>molar, providing corroboration for chemical speciation models for a wide range of pH and chemistry of YNP thermal waters. Calculated speciation results show that free fluoride, F</span><sup>−</sup><span>, and major complexes (</span><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>HF</mtext></mrow><mrow is=&quot;true&quot;><mo stretchy=&quot;false&quot; is=&quot;true&quot;>(</mo><mtext is=&quot;true&quot;>aq</mtext><mo stretchy=&quot;false&quot; is=&quot;true&quot;>)</mo></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>0</mn></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">HF(aq)0</span></span><span>, AlF</span><sup>2+</sup><span>,<span>&nbsp;</span></span><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>AlF</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>+</mo></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">AlF2+</span></span><span>and<span>&nbsp;</span></span><span id=\"MathJax-Element-3-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>AlF</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>3</mn></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>0</mn></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">AlF30</span></span><span>) account for more than 95% of total fluoride. Occasionally, some complex species like<span>&nbsp;</span></span><span id=\"MathJax-Element-4-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>AlF</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>4</mn></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>-</mo></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">AlF4-</span></span><span>, FeF</span><sup>2+</sup><span>,<span>&nbsp;</span></span><span id=\"MathJax-Element-5-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>FeF</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>+</mo></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">FeF2+</span></span><span>, MgF</span><sup>+</sup><span><span>&nbsp;</span>and<span>&nbsp;</span></span><span id=\"MathJax-Element-6-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>BF</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn></mrow></msub><mo stretchy=&quot;false&quot; is=&quot;true&quot;>(</mo><mtext is=&quot;true&quot;>OH</mtext><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mo stretchy=&quot;false&quot; is=&quot;true&quot;>)</mo></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>-</mo></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">BF2(OH)2-</span></span><span><span>&nbsp;</span>may comprise 1–10% when the concentrations of the appropriate components are high. According to the simulation results by PHREEQC and calculated results, the ratio of main fluoride species to total fluoride varies as a function of pH and the concentrations and ratios of F and Al.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2011.05.028","issn":"00167037","usgsCitation":"Deng, Y., Nordstrom, D.K., and McCleskey, R.B., 2011, Fluoride geochemistry of thermal waters in Yellowstone National Park: I. Aqueous fluoride speciation: Geochimica et Cosmochimica Acta, v. 75, no. 16, p. 4476-4489, https://doi.org/10.1016/j.gca.2011.05.028.","productDescription":"14 p.","startPage":"4476","endPage":"4489","ipdsId":"IP-023276","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":244406,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.05255126953125,\n              44.1151978766043\n            ],\n            [\n              -110.12695312499999,\n              44.1151978766043\n            ],\n            [\n              -110.12695312499999,\n              44.990055522906864\n            ],\n            [\n              -111.05255126953125,\n              44.990055522906864\n            ],\n            [\n              -111.05255126953125,\n              44.1151978766043\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","issue":"16","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1288e4b0c8380cd54343","contributors":{"authors":[{"text":"Deng, Y.","contributorId":57686,"corporation":false,"usgs":true,"family":"Deng","given":"Y.","email":"","affiliations":[],"preferred":false,"id":445603,"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":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":445605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":445604,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032292,"text":"70032292 - 2011 - Setting limits: Using air pollution thresholds to protect and restore U.S. ecosystems","interactions":[],"lastModifiedDate":"2012-03-12T17:21:25","indexId":"70032292","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2121,"text":"Issues in Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Setting limits: Using air pollution thresholds to protect and restore U.S. ecosystems","docAbstract":"More than four decades of research provide unequivocal evidence that sulfur, nitrogen, and mercury pollution have altered, and will continue to alter, our nation's lands and waters. The emission and deposition of air pollutants harm native plants and animals, degrade water quality, affect forest productivity, and are damaging to human health. Many air quality policies limit emissions at the source but these control measures do not always consider ecosystem impacts. Air pollution thresholds at which ecological effects are observed, such as critical loads, are effective tools for assessing the impacts of air pollution on essential ecosystem services and for informing public policy. U.S. ecosystems can be more effectively protected and restored by using a combination of emissions-based approaches and science-based thresholds of ecosystem damage. Based on the results of a comprehensive review of air pollution thresholds, we conclude: ??? Ecosystem services such as air and water purification, decomposition and detoxification of waste materials, climate regulation, regeneration of soil fertility, production and biodiversity maintenance, as well as crop, timber and fish supplies are impacted by deposition of nitrogen, sulfur, mercury and other pollutants. The consequences of these changes may be difficult or impossible to reverse as impacts cascade throughout affected ecosystems. ??? The effects of too much nitrogen are common across the U.S. and include altered plant and lichen communities, enhanced growth of invasive species, eutrophication and acidification of lands and waters, and habitat deterioration for native species, including endangered species. ??? Lake, stream and soil acidification is widespread across the eastern United States. Up to 65% of lakes within sensitive areas receive acid deposition that exceeds critical loads. ??? Mercury contamination adversely affects fish in many inland and coastal waters. Fish consumption advisories for mercury exist in all 50 states and on many tribal lands. High concentrations of mercury in wildlife are also widespread and have multiple adverse effects. ??? Air quality programs, such as those stemming from the 1990 Clean Air Act Amendments, have helped decrease air pollution even as population and energy demand have increased. Yet, they do not adequately protect ecosystems from long-term damage. Moreover they do not address ammonia emissions. ??? A stronger ecosystem basis for air pollutant policies could be established through adoption of science-based thresholds. Existing monitoring programs track vital information needed to measure the response to policies, and could be expanded to include appropriate chemical and biological indicators for terrestrial and aquatic ecosystems and establishment of a national ecosystem monitoring network for mercury. The development and use of air pollution thresholds for ecosystem protection and management is increasing in the United States, yet threshold approaches remain underutilized. Ecological thresholds for air pollution, such as critical loads for nitrogen and sulfur deposition, are not currently included in the formal regulatory process for emissions controls in the United States, although they are now considered in local management decisions by the National Park Service and U.S. Forest Service. Ecological thresholds offer a scientifically sound approach to protecting and restoring U.S. ecosystems and an important tool for natural resource management and policy. ?? The Ecological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Issues in Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"10928987","usgsCitation":"Fenn, M., Lambert, K., Blett, T., Burns, D.A., Pardo, L., Lovett, G., Haeuber, R.A., Evers, D., Driscoll, C.T., and Jeffries, D., 2011, Setting limits: Using air pollution thresholds to protect and restore U.S. ecosystems: Issues in Ecology, no. 14.","costCenters":[],"links":[{"id":242615,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"14","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8d71e4b08c986b3183ed","contributors":{"authors":[{"text":"Fenn, M.E.","contributorId":68686,"corporation":false,"usgs":true,"family":"Fenn","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":435473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lambert, K.F.","contributorId":64048,"corporation":false,"usgs":true,"family":"Lambert","given":"K.F.","email":"","affiliations":[],"preferred":false,"id":435472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blett, T.F.","contributorId":10241,"corporation":false,"usgs":true,"family":"Blett","given":"T.F.","email":"","affiliations":[],"preferred":false,"id":435466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":29450,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":435468,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pardo, L.H.","contributorId":93209,"corporation":false,"usgs":true,"family":"Pardo","given":"L.H.","email":"","affiliations":[],"preferred":false,"id":435475,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lovett, Gary M.","contributorId":85990,"corporation":false,"usgs":true,"family":"Lovett","given":"Gary M.","affiliations":[],"preferred":false,"id":435474,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haeuber, R. A.","contributorId":56057,"corporation":false,"usgs":true,"family":"Haeuber","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":435471,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Evers, D.C.","contributorId":36501,"corporation":false,"usgs":true,"family":"Evers","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":435469,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Driscoll, C. T.","contributorId":47530,"corporation":false,"usgs":false,"family":"Driscoll","given":"C.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":435470,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jeffries, D.S.","contributorId":19729,"corporation":false,"usgs":true,"family":"Jeffries","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":435467,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70034618,"text":"70034618 - 2011 - From deposition to erosion: Spatial and temporal variability of sediment sources, storage, and transport in a small agricultural watershed","interactions":[],"lastModifiedDate":"2017-10-30T12:54:01","indexId":"70034618","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"From deposition to erosion: Spatial and temporal variability of sediment sources, storage, and transport in a small agricultural watershed","docAbstract":"The spatial and temporal variability of sediment sources, storage, and transport were investigated in a small agricultural watershed draining the Coast Ranges and Sacramento Valley in central California. Results of field, laboratory, and historical data analysis in the Willow Slough fluvial system document changes that transformed a transport-limited depositional system to an effective erosion and transport system, despite a large sediment supply. These changes were caused by a combination of factors: (i) an increase in transport capacity, and (ii) hydrologic alteration. Alteration of the riparian zone and drainage network pattern during the past ~ 150 years included a twofold increase in straightened channel segments along with a baselevel change from excavation that increased slope, and increased sediment transport capacity by ~ 7%. Hydrologic alteration from irrigation water contributions also increased transport capacity, by extending the period with potential for sediment transport and erosion by ~ 6 months/year. Field measurements document Quaternary Alluvium as a modern source of fine sediment with grain size distributions characterized by 5 to 40% fine material. About 60% of an upland and 30% of a lowland study reach incised into this deposit exhibit bank erosion. During this study, the wet 2006 and relatively dry 2007 water years exhibited a range of total annual suspended sediment load spanning two orders of magnitude: ~ 108,500 kg/km<sup>2</sup>/year during 2006 and 5,950 kg/km<sup>2</sup>/year during 2007, only 5% of that during the previous year. Regional implications of this work are illustrated by the potential for a small tributary such as Willow Slough to contribute sediment – whereas large dams limit sediment supply from larger tributaries – to the Sacramento River and San Francisco Bay Delta and Estuary. This work is relevant to lowland agricultural river–floodplain systems globally in efforts to restore aquatic and riparian functions and where water quality management includes reducing fine sediment contributions that can couple with other pollutants.","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2011.04.037","issn":"0169555X","usgsCitation":"Florsheim, J., Pellerin, B., Oh, N., Ohara, N., Bachand, P., Bachand, S., Bergamaschi, B., Hernes, P., and Kavvas, M., 2011, From deposition to erosion: Spatial and temporal variability of sediment sources, storage, and transport in a small agricultural watershed: Geomorphology, v. 132, no. 3-4, p. 272-286, https://doi.org/10.1016/j.geomorph.2011.04.037.","productDescription":"15 p.","startPage":"272","endPage":"286","ipdsId":"IP-027109","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":243817,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.0 ], [ -114.13,42.0 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"132","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a13f8e4b0c8380cd5484e","contributors":{"authors":[{"text":"Florsheim, J.L.","contributorId":101876,"corporation":false,"usgs":true,"family":"Florsheim","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":446694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pellerin, B.A.","contributorId":81233,"corporation":false,"usgs":true,"family":"Pellerin","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":446692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oh, N.H.","contributorId":22987,"corporation":false,"usgs":true,"family":"Oh","given":"N.H.","email":"","affiliations":[],"preferred":false,"id":446688,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ohara, N.","contributorId":60045,"corporation":false,"usgs":true,"family":"Ohara","given":"N.","email":"","affiliations":[],"preferred":false,"id":446690,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bachand, P.A.M.","contributorId":9857,"corporation":false,"usgs":true,"family":"Bachand","given":"P.A.M.","email":"","affiliations":[],"preferred":false,"id":446686,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bachand, Sandra M.","contributorId":45542,"corporation":false,"usgs":false,"family":"Bachand","given":"Sandra M.","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":446689,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bergamaschi, B.A. 0000-0002-9610-5581","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":22401,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"B.A.","affiliations":[],"preferred":false,"id":446687,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hernes, P.J.","contributorId":89651,"corporation":false,"usgs":true,"family":"Hernes","given":"P.J.","affiliations":[],"preferred":false,"id":446693,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kavvas, M.L.","contributorId":63642,"corporation":false,"usgs":true,"family":"Kavvas","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":446691,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70032330,"text":"70032330 - 2011 - Field tracer investigation of unsaturated zone flow paths and mechanisms in agricultural soils of northwestern Mississippi, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:21:25","indexId":"70032330","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Field tracer investigation of unsaturated zone flow paths and mechanisms in agricultural soils of northwestern Mississippi, USA","docAbstract":"In many farmed areas, intensive application of agricultural chemicals and withdrawal of groundwater for irrigation have led to water quality and supply issues. Unsaturated-zone processes, including preferential flow, play a major role in these effects but are not well understood. In the Bogue Phalia basin, an intensely agricultural area in the Delta region of northwestern Mississippi, the fine-textured soils often exhibit surface ponding and runoff after irrigation and rainfall as well as extensive surface cracking during prolonged dry periods. Fields are typically land-formed to promote surface flow into drainage ditches and streams that feed into larger river ecosystems. Downward flow of water below the root zone is considered minimal; regional groundwater models predict only 5% or less of precipitation recharges the heavily used alluvial aquifer. In this study transport mechanisms within and below the root zone of a fallow soybean field were assessed by performing a 2-m ring infiltration test with tracers and subsurface monitoring instruments. Seven months after tracer application, 48 continuous cores were collected for tracer extraction to define the extent of water movement and quantify preferential flow using a mass-balance approach. Vertical water movement was rapid below the pond indicating the importance of vertical preferential flow paths in the shallow unsaturated zone, especially to depths where agricultural disturbance occurs. Lateral flow of water at shallow depths was extensive and spatially non-uniform, reaching up to 10. m from the pond within 2. months. Within 1. month, the wetting front reached a textural boundary at 4-5. m between the fine-textured soil and sandy alluvium, now a potential capillary barrier which, prior to extensive irrigation withdrawals, was below the water table. Within 10. weeks, tracer was detectable at the water table which is presently about 12. m below land surface. Results indicate that 43% of percolation may be through preferential flow paths and that any water breaking through the capillary barrier (as potential recharge) likely does so in fingers which are difficult to detect with coring methods. In other areas where water levels have declined and soils have similar properties, the potential for transport of agricultural chemicals to the aquifer may be greater than previously assumed. ?? 2010 .","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jhydrol.2010.09.009","issn":"00221694","usgsCitation":"Perkins, K., Nimmo, J., Rose, C., and Coupe, R., 2011, Field tracer investigation of unsaturated zone flow paths and mechanisms in agricultural soils of northwestern Mississippi, USA: Journal of Hydrology, v. 396, no. 1-2, p. 1-11, https://doi.org/10.1016/j.jhydrol.2010.09.009.","startPage":"1","endPage":"11","numberOfPages":"11","costCenters":[],"links":[{"id":214951,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2010.09.009"},{"id":242712,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"396","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0fe3e4b0c8380cd53a64","contributors":{"authors":[{"text":"Perkins, K. S. 0000-0001-8349-447X","orcid":"https://orcid.org/0000-0001-8349-447X","contributorId":77557,"corporation":false,"usgs":true,"family":"Perkins","given":"K. S.","affiliations":[],"preferred":false,"id":435640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nimmo, J. R. 0000-0001-8191-1727","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":58304,"corporation":false,"usgs":true,"family":"Nimmo","given":"J. R.","affiliations":[],"preferred":false,"id":435638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rose, C.E.","contributorId":63233,"corporation":false,"usgs":true,"family":"Rose","given":"C.E.","email":"","affiliations":[],"preferred":false,"id":435639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coupe, R.H.","contributorId":84778,"corporation":false,"usgs":true,"family":"Coupe","given":"R.H.","affiliations":[],"preferred":false,"id":435641,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034493,"text":"70034493 - 2011 - Dynamic habitat selection by two wading bird species with divergent foraging strategies in a seasonally fluctuating wetland","interactions":[],"lastModifiedDate":"2017-06-07T13:44:04","indexId":"70034493","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic habitat selection by two wading bird species with divergent foraging strategies in a seasonally fluctuating wetland","docAbstract":"<p><span>Seasonal and annual variation in food availability during the breeding season plays an influential role in the population dynamics of many avian species. In highly dynamic ecosystems like wetlands, finding and exploiting food resources requires a flexible behavioral response that may produce different population trends that vary with a species' foraging strategy. We quantified dynamic foraging-habitat selection by breeding and radiotagged White Ibises (</span><i>Eudocimus albus</i><span>) and Great Egrets (</span><i>Ardea alba</i><span>) in the Florida Everglades, where fluctuation in food resources is pronounced because of seasonal drying and flooding. The White Ibis is a tactile “searcher” species in population decline that specializes on highly concentrated prey, whereas the Great Egret, in a growing population, is a visual “exploiter” species that requires lower prey concentrations. In a year with high food availability, resource-selection functions for both species included variables that changed over multiannual time scales and were associated with increased prey production. In a year with low food availability, resource-selection functions included short-term variables that concentrated prey (e.g., water recession rates and reversals in drying pattern), which suggests an adaptive response to poor foraging conditions. In both years, the White Ibis was more restricted in its use of habitats than the Great Egret. Real-time species—habitat suitability models were developed to monitor and assess the daily availability and quality of spatially explicit habitat resources for both species. The models, evaluated through hindcasting using independent observations, demonstrated that habitat use of the more specialized White Ibis was more accurately predicted than that of the more generalist Great Egret.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2011.10165","issn":"00048038","usgsCitation":"Beerens, J.M., Gawlik, D.E., Herring, G., and Cook, M.I., 2011, Dynamic habitat selection by two wading bird species with divergent foraging strategies in a seasonally fluctuating wetland: The Auk, v. 128, no. 4, p. 651-662, https://doi.org/10.1525/auk.2011.10165.","productDescription":"12 p.","startPage":"651","endPage":"662","costCenters":[],"links":[{"id":475198,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2011.10165","text":"Publisher Index Page"},{"id":243875,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"128","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0425e4b0c8380cd507f4","contributors":{"authors":[{"text":"Beerens, James M. 0000-0001-8143-916X jbeerens@usgs.gov","orcid":"https://orcid.org/0000-0001-8143-916X","contributorId":143722,"corporation":false,"usgs":true,"family":"Beerens","given":"James","email":"jbeerens@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":446067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gawlik, Dale E.","contributorId":88055,"corporation":false,"usgs":true,"family":"Gawlik","given":"Dale","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":446068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":446069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Mark I.","contributorId":7104,"corporation":false,"usgs":false,"family":"Cook","given":"Mark","email":"","middleInitial":"I.","affiliations":[{"id":7036,"text":"South Florida Water Management District","active":true,"usgs":false}],"preferred":false,"id":446066,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036612,"text":"70036612 - 2011 - A buoyant plume adjacent to a headland-Observations of the Elwha River plume","interactions":[],"lastModifiedDate":"2020-12-29T18:14:42.641153","indexId":"70036612","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"A buoyant plume adjacent to a headland-Observations of the Elwha River plume","docAbstract":"<p><span>Small rivers commonly discharge into coastal settings with topographic complexities – such as headlands and islands – but these settings are underrepresented in river plume studies compared to more simplified, straight coasts. The Elwha River provides a unique opportunity to study the effects of coastal topography on a buoyant plume, because it discharges into the Strait of Juan de Fuca on the western side of its deltaic headland. Here we show that this headland induces flow separation and transient eddies in the tidally dominated currents (O(100</span><span>&nbsp;</span><span>cm/s)), consistent with other headlands in oscillatory flow. These flow conditions are observed to strongly influence the buoyant river plume, as predicted by the “small-scale” or “narrow” dynamical classification using&nbsp;</span><a class=\"workspace-trigger\" name=\"bbib11\" href=\"https://www.sciencedirect.com/science/article/pii/S0278434310003584?via%3Dihub#bib11\" data-mce-href=\"https://www.sciencedirect.com/science/article/pii/S0278434310003584?via%3Dihub#bib11\">Garvine's (1995)</a><span>&nbsp;system. Because of the transient eddies and the location of the river mouth on the headland, flow immediately offshore of the river mouth is directed eastward twice as frequently as it is westward. This results in a buoyant plume that is much more frequently “bent over” toward the east than the west. During bent over plume conditions, the plume was attached to the eastern shoreline while having a distinct, cuspate front along its westernmost boundary. The location of the front was found to be related to the magnitude and direction of local flow during the preceding O(1</span><span>&nbsp;</span><span>h), and increases in alongshore flow resulted in deeper freshwater mixing, stronger baroclinic anomalies, and stronger hugging of the coast. During bent over plume conditions, we observed significant convergence of river plume water toward the frontal boundary within 1</span><span>&nbsp;</span><span>km of the river mouth. These results show how coastal topography can strongly influence buoyant plume behavior, and they should assist with understanding of initial coastal sediment dispersal pathways from the Elwha River during a pending dam removal project.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.csr.2010.11.007","issn":"02784343","usgsCitation":"Warrick, J.A., and Stevens, A.W., 2011, A buoyant plume adjacent to a headland-Observations of the Elwha River plume: Continental Shelf Research, v. 31, no. 2, p. 85-97, https://doi.org/10.1016/j.csr.2010.11.007.","productDescription":"13 p.","startPage":"85","endPage":"97","costCenters":[],"links":[{"id":245573,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217616,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.csr.2010.11.007"}],"country":"United States","state":"Washington","otherGeospatial":"Elwha River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.68957519531251,\n              47.87214396888731\n            ],\n            [\n              -123.24462890625,\n              47.87214396888731\n            ],\n            [\n              -123.24462890625,\n              48.188063481211415\n            ],\n            [\n              -123.68957519531251,\n              48.188063481211415\n            ],\n            [\n              -123.68957519531251,\n              47.87214396888731\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e333e4b0c8380cd45e98","chorus":{"doi":"10.1016/j.csr.2010.11.007","url":"http://dx.doi.org/10.1016/j.csr.2010.11.007","publisher":"Elsevier BV","authors":"Warrick Jonathan A., Stevens Andrew W.","journalName":"Continental Shelf Research","publicationDate":"2/2011"},"contributors":{"authors":[{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":457003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Andrew W. 0000-0003-2334-129X astevens@usgs.gov","orcid":"https://orcid.org/0000-0003-2334-129X","contributorId":139313,"corporation":false,"usgs":true,"family":"Stevens","given":"Andrew","email":"astevens@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":457002,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033828,"text":"70033828 - 2011 - The influence of stream channels on distributions of Larrea tridentata and Ambrosia dumosa in the Mojave Desert, CA, USA: Patterns, mechanisms and effects of stream redistribution","interactions":[],"lastModifiedDate":"2017-11-20T12:32:57","indexId":"70033828","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"The influence of stream channels on distributions of Larrea tridentata and Ambrosia dumosa in the Mojave Desert, CA, USA: Patterns, mechanisms and effects of stream redistribution","docAbstract":"<p><span>Drainage channels are among the most conspicuous surficial features of deserts, but little quantitative analysis of their influence on plant distributions is available. We analysed the effects of desert stream channels (‘washes’) on&nbsp;</span><i>Larrea tridentata</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>Ambrosia dumosa</i><span><span>&nbsp;</span>density and cover on an alluvial piedmont in the Mojave Desert, based on a spatial analysis of transect data encompassing a total length of 2775 m surveyed in 5 cm increments. Significant deviations from average transect properties were identified by bootstrapping. Predictably, shrub cover and density were much reduced inside washes, and elevated above average levels adjacent to washes. Average<span>&nbsp;</span></span><i>Larrea</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>Ambrosia</i><span><span>&nbsp;</span>cover and density peaked 1·2–1·6 m and 0·5–1·0 m from wash edges, respectively. We compared wash effects in runon-depleted (−R) sections, where washes had been cut off from runon and were presumably inactive, with those in runon-supplemented (+R) sections downslope from railroad culverts to help identify mechanisms responsible for the facilitative effect of washes on adjacent shrubs. Shrub cover and density near washes peaked in both + R and − R sections, suggesting that improved water infiltration and storage alone can cause a facilitative effect on adjacent shrubs. However, washes of &lt; 2 m width in + R sections had larger than average effects on peak cover, suggesting that plants also benefit from occasional resource supplementation. The data suggest that channel networks significantly contribute to structuring plant communities in the Mojave Desert and their disruption has notable effects on geomorphic and ecological processes far beyond the original disturbance sites.<span>&nbsp;</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1002/eco.116","issn":"19360584","usgsCitation":"Schwinning, S., Sandquist, D., Miller, D., Bedford, D.R., Phillips, S.L., and Belnap, J., 2011, The influence of stream channels on distributions of Larrea tridentata and Ambrosia dumosa in the Mojave Desert, CA, USA: Patterns, mechanisms and effects of stream redistribution: Ecohydrology, v. 4, no. 1, p. 12-25, https://doi.org/10.1002/eco.116.","productDescription":"14 p.","startPage":"12","endPage":"25","numberOfPages":"14","ipdsId":"IP-019949","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":241968,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214263,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/eco.116"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","volume":"4","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-19","publicationStatus":"PW","scienceBaseUri":"505bad38e4b08c986b323a7b","contributors":{"authors":[{"text":"Schwinning, S.","contributorId":41207,"corporation":false,"usgs":true,"family":"Schwinning","given":"S.","email":"","affiliations":[],"preferred":false,"id":442729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sandquist, D.R.","contributorId":37281,"corporation":false,"usgs":true,"family":"Sandquist","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":442728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, D. M. 0000-0003-3711-0441","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":104422,"corporation":false,"usgs":true,"family":"Miller","given":"D. M.","affiliations":[],"preferred":false,"id":442731,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bedford, D. R.","contributorId":9734,"corporation":false,"usgs":true,"family":"Bedford","given":"D.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":442726,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Phillips, S. L.","contributorId":94460,"corporation":false,"usgs":true,"family":"Phillips","given":"S.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":442730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Belnap, J. 0000-0001-7471-2279","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":23872,"corporation":false,"usgs":true,"family":"Belnap","given":"J.","affiliations":[],"preferred":false,"id":442727,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034139,"text":"70034139 - 2011 - Spatial mapping of mineralization with manganese-enhanced magnetic resonance imaging","interactions":[],"lastModifiedDate":"2017-06-30T10:13:32","indexId":"70034139","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1067,"text":"Bone","active":true,"publicationSubtype":{"id":10}},"title":"Spatial mapping of mineralization with manganese-enhanced magnetic resonance imaging","docAbstract":"Paramagnetic manganese can be employed as a calcium surrogate to sensitize the magnetic resonance imaging (MRI) technique to the processing of calcium during the bone formation process. At low doses, after just 48h of exposure, osteoblasts take up sufficient quantities of manganese to cause marked reductions in the water proton T1 values compared with untreated cells. After just 24h of exposure, 25??M MnCl2 had no significant effect on cell viability. However, for mineralization studies 100??M MnCl2 was used to avoid issues of manganese depletion in calvarial organ cultures and a post-treatment delay of 48h was implemented to ensure that manganese ions taken up by osteoblasts is deposited as mineral. All specimens were identified by their days in vitro (DIV). Using inductively coupled plasma optical emission spectroscopy (ICP-OES), we confirmed that Mn-treated calvariae continued to deposit mineral in culture and that the mineral composition was similar to that of age-matched controls. Notably there was a significant decrease in the manganese content of DIV18 compared with DIV11 specimens, possibly relating to less manganese sequestration as a result of mineral maturation. More importantly, quantitative T1 maps of Mn-treated calvariae showed localized reductions in T1 values over the calvarial surface, indicative of local variations in the surface manganese content. This result was verified with laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). We also found that ??R1 values, calculated by subtracting the relaxation rate of Mn-treated specimens from the relaxation rate of age-matched controls, were proportional to the surface manganese content and thus mineralizing activity. From this analysis, we established that mineralization of DIV4 and DIV11 specimens occurred in all tissue zones, but was reduced for DIV18 specimens because of mineral maturation with less manganese sequestration. In DIV25 specimens, active mineralization was observed for the expanding superficial surface and ??R1 values were increased due to the mineralization of small, previously unmineralized areas. Our findings support the use of manganese-enhanced MRI (MEMRI) to study well-orchestrated mineralizing events that occur during embryonic development. In conclusion, MEMRI is more sensitive to the study of mineralization than traditional imaging approaches. ?? 2011.","language":"English","doi":"10.1016/j.bone.2011.02.014","issn":"87563282","usgsCitation":"Chesnick, I., Centeno, J., Todorov, T., Koenig, A., and Potter, K., 2011, Spatial mapping of mineralization with manganese-enhanced magnetic resonance imaging: Bone, v. 48, no. 5, p. 1194-1201, https://doi.org/10.1016/j.bone.2011.02.014.","startPage":"1194","endPage":"1201","numberOfPages":"8","ipdsId":"IP-027084","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":475243,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3113632","text":"External Repository"},{"id":244423,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216546,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.bone.2011.02.014"}],"volume":"48","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9486e4b08c986b31ab3f","contributors":{"authors":[{"text":"Chesnick, I.E.","contributorId":80484,"corporation":false,"usgs":true,"family":"Chesnick","given":"I.E.","email":"","affiliations":[],"preferred":false,"id":444286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Centeno, J.A.","contributorId":73806,"corporation":false,"usgs":true,"family":"Centeno","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":444285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Todorov, T.I.","contributorId":10995,"corporation":false,"usgs":true,"family":"Todorov","given":"T.I.","email":"","affiliations":[],"preferred":false,"id":444282,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koenig, A.E. 0000-0002-5230-0924","orcid":"https://orcid.org/0000-0002-5230-0924","contributorId":23679,"corporation":false,"usgs":true,"family":"Koenig","given":"A.E.","affiliations":[],"preferred":false,"id":444283,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Potter, K.","contributorId":24165,"corporation":false,"usgs":true,"family":"Potter","given":"K.","affiliations":[],"preferred":false,"id":444284,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034574,"text":"70034574 - 2011 - Behavioral, clinical, and pathological characterization of acid metalliferous water toxicity in mallards","interactions":[],"lastModifiedDate":"2021-04-16T17:12:48.944533","indexId":"70034574","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Behavioral, clinical, and pathological characterization of acid metalliferous water toxicity in mallards","docAbstract":"<p><span>From September to November 2000, United States Fish and Wildlife Service biologists investigated incidents involving 221 bird deaths at 3 mine sites located in New Mexico and Arizona. These bird deaths primarily involved passerine and waterfowl species and were assumed to be linked to consumption of acid metalliferous water (AMW). Because all of the carcasses were found in or near pregnant leach solution ponds, tailings ponds, and associated lakes or storm water retention basins, an acute-toxicity study was undertaken using a synthetic AMW (SAMW) formulation based on the contaminant profile of a representative pond believed to be responsible for avian mortalities. An acute oral-toxicity trial was performed with a mixed-sex group of mallards (</span><i>Anas platyrhynchos</i><span>). After a 24-h pretreatment food and water fast, gorge drinking was evident in both SAMW treatment and control groups, with water consumption rates greatest during the initial drinking periods. Seven of nine treated mallards were killed in extremis within 12&nbsp;h after the initiation of dose. Total lethal doses of SAMW ranged from 69.8 to 270.1&nbsp;mL/kg (mean&nbsp;±&nbsp;SE 127.9&nbsp;±&nbsp;27.1). Lethal doses of SAMW were consumed in as few as 20 to 40&nbsp;min after first exposure. Clinical signs of SAMW toxicity included increased serum uric acid, aspartate aminotransferase, creatine kinase, potassium, and P levels. PCV values of SAMW-treated birds were also increased compared with control mallards. Histopathological lesions were observed in the esophagus, proventriculus, ventriculus, and duodenum of SAMW-treated mallards, with the most distinctive being erosion and ulceration of the kaolin of the ventriculus, ventricular hemorrhage and/or congestion, and duodenal hemorrhage. Clinical, pathological, and tissue-residue results from this study are consistent with literature documenting acute metal toxicosis, especially copper (Cu), in avian species and provide useful diagnostic profiles for AMW toxicity or mortality events. Blood and kidney Cu concentrations were 23- and 6-fold greater, respectively, in SAMW mortalities compared with controls, whereas Cu concentrations in liver were not nearly as increased, suggesting that blood and kidney concentrations may be more useful than liver concentrations for diagnosing Cu toxicosis in wild birds. Based on these findings and other reports of AMW toxicity events in wild birds, we conclude that AMW bodies pose a significant hazard to wildlife that come in contact with them.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00244-011-9657-z","issn":"00904341","usgsCitation":"Isanhart, J., Wu, H., Pandher, K., MacRae, R., Cox, S., and Hooper, M., 2011, Behavioral, clinical, and pathological characterization of acid metalliferous water toxicity in mallards: Archives of Environmental Contamination and Toxicology, v. 61, no. 4, p. 653-667, https://doi.org/10.1007/s00244-011-9657-z.","productDescription":"15 p.","startPage":"653","endPage":"667","numberOfPages":"15","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":243599,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215774,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00244-011-9657-z"}],"volume":"61","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-03-19","publicationStatus":"PW","scienceBaseUri":"5059f0aae4b0c8380cd4a844","contributors":{"authors":[{"text":"Isanhart, J.P.","contributorId":72220,"corporation":false,"usgs":true,"family":"Isanhart","given":"J.P.","affiliations":[],"preferred":false,"id":446462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wu, H.","contributorId":12707,"corporation":false,"usgs":true,"family":"Wu","given":"H.","affiliations":[],"preferred":false,"id":446459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pandher, K.","contributorId":91709,"corporation":false,"usgs":true,"family":"Pandher","given":"K.","affiliations":[],"preferred":false,"id":446464,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacRae, R.K.","contributorId":19394,"corporation":false,"usgs":true,"family":"MacRae","given":"R.K.","email":"","affiliations":[],"preferred":false,"id":446460,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cox, S.B.","contributorId":78576,"corporation":false,"usgs":true,"family":"Cox","given":"S.B.","email":"","affiliations":[],"preferred":false,"id":446463,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hooper, M.J.","contributorId":70581,"corporation":false,"usgs":true,"family":"Hooper","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":446461,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70191968,"text":"70191968 - 2011 - Seasonal habitat shifts by benthic fishes in headwater streams","interactions":[],"lastModifiedDate":"2018-01-23T14:32:05","indexId":"70191968","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3896,"text":"Proceedings of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal habitat shifts by benthic fishes in headwater streams","docAbstract":"<p><span>Fish-habitat associations in streams have been widely studied; however, temporal considerations have been neglected, particularly during the winter. We quantitatively sampled perennial headwater streams in the Missouri Ozarks during the summer (n = 13) and winter (n = 4) to evaluate possible habitat shifts by three benthic fishes at two spatial scales: channel unit and microhabitat. Density of all three headwater species in streams was generally lower in winter than summer, with some species being ubiquitous in channel units of streams during the summer and almost entirely absent from the same streams during winter. Presence of each of three species during the summer varied by stream and channel unit, but patterns of channelunit use did not change depending on stream sampled. Ozark sculpin (Cottus hypselurus) was more likely to be present (&gt; 50% probability) in riffles and runs, but not pools. Fantail darter (Etheostoma flabellare) was much more likely to be found in riffles than other channel units whereas rainbow darter (Etheostoma caeruleum) was more likely to occur in runs or pools than riffles. During winter, each of the three species was equally likely to be present or absent from any of the channel units indicating a more general use of channel units. However, each of the three species used deeper microhabitats within pools and slower-velocity areas of riffles during winter compared to summer. Results of this study indicate benthic, headwater species used habitat more generally during cold-water periods compared to warm-water periods, but density estimates indicated changes in channel unit use occurred in some streams and patterns of fine-scale microhabitat shifts did occur.</span></p>","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Rettig, A.V., and Brewer, S.K., 2011, Seasonal habitat shifts by benthic fishes in headwater streams: Proceedings of the Southeastern Association of Fish and Wildlife Agencies, v. 65, p. 105-111.","productDescription":"7 p.","startPage":"105","endPage":"111","ipdsId":"IP-029941","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":350541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350540,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.seafwa.org/publications/proceedings/?id=77197"}],"volume":"65","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6857dfe4b06e28e9c65e5a","contributors":{"authors":[{"text":"Rettig, Adam V.","contributorId":201468,"corporation":false,"usgs":false,"family":"Rettig","given":"Adam","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":725627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":713795,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}