{"pageNumber":"713","pageRowStart":"17800","pageSize":"25","recordCount":68919,"records":[{"id":70003860,"text":"70003860 - 2011 - Electrical conductivity of electrolytes applicable to natural waters from 0 to 100 degrees C","interactions":[],"lastModifiedDate":"2020-01-28T09:14:51","indexId":"70003860","displayToPublicDate":"2011-10-07T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2209,"text":"Journal of Chemical and Engineering Data","active":true,"publicationSubtype":{"id":10}},"title":"Electrical conductivity of electrolytes applicable to natural waters from 0 to 100 degrees C","docAbstract":"The electrical conductivities of 34 electrolyte solutions found in natural waters ranging from (10<sup>-4</sup> to 1) mol&#x95;kg<sup>-1</sup> in concentration and from (5 to 90) &deg;C have been determined. High-quality electrical conductivity data for numerous electrolytes exist in the scientific literature, but the data do not span the concentration or temperature ranges of many electrolytes in natural waters. Methods for calculating the electrical conductivities of natural waters have incorporated these data from the literature, and as a result these methods cannot be used to reliably calculate the electrical conductivity over a large enough range of temperature and concentration. For the single-electrolyte solutions, empirical equations were developed that relate electrical conductivity to temperature and molality. For the 942 molar conductivity determinations for single electrolytes from this study, the mean relative difference between the calculated and measured values was 0.1 %. The calculated molar conductivity was compared to literature data, and the mean relative difference for 1978 measurements was 0.2 %. These data provide an improved basis for calculating electrical conductivity for most natural waters.","language":"English","publisher":"American Chemical Society","doi":"10.1021/je101012n","usgsCitation":"McCleskey, R.B., 2011, Electrical conductivity of electrolytes applicable to natural waters from 0 to 100 degrees C: Journal of Chemical and Engineering Data, v. 56, no. 2, p. 317-327, https://doi.org/10.1021/je101012n.","productDescription":"11 p.","startPage":"317","endPage":"327","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":204496,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-01-05","publicationStatus":"PW","scienceBaseUri":"4f4e4a1be4b07f02db6070ff","contributors":{"authors":[{"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":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":349183,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70005674,"text":"70005674 - 2011 - Aeolian and fluvial processes in dryland regions: The need for integrated studies","interactions":[],"lastModifiedDate":"2021-01-11T17:47:09.616395","indexId":"70005674","displayToPublicDate":"2011-10-07T00:00:00","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":"Aeolian and fluvial processes in dryland regions: The need for integrated studies","docAbstract":"<p><span>Aeolian and fluvial processes play a fundamental role in dryland regions of the world and have important environmental and ecological consequences from local to global scales. Although both processes operate over similar spatial and temporal scales and are likely strongly coupled in many dryland systems, aeolian and fluvial processes have traditionally been studied separately, making it difficult to assess their relative importance in drylands, as well as their potential for synergistic interaction. Land degradation by accelerated wind and water erosion is a major problem throughout the world's drylands, and although recent studies suggest that these processes likely interact across broad spatial and temporal scales to amplify the transport of soil resources from and within drylands, many researchers and land managers continue to view them as separate and unrelated processes. Here, we illustrate how aeolian and fluvial sediment transport is coupled at multiple spatial and temporal scales and highlight the need for these interrelated processes to be studied from a more integrated perspective that crosses traditional disciplinary boundaries. Special attention is given to how the growing threat of climate change and land‐use disturbance will influence linkages between aeolian and fluvial processes in the future. We also present emerging directions for interdisciplinary needs within the aeolian and fluvial research communities that call for better integration across a broad range of traditional disciplines such as ecology, biogeochemistry, agronomy, and soil conservation.&nbsp;</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/eco.258","usgsCitation":"Belnap, J., Munson, S.M., and Field, J., 2011, Aeolian and fluvial processes in dryland regions: The need for integrated studies: Ecohydrology, v. 4, no. 5, p. 615-622, https://doi.org/10.1002/eco.258.","productDescription":"8 p.","startPage":"615","endPage":"622","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":204447,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.36767578124999,\n              34.45221847282654\n            ],\n            [\n              -114.73571777343749,\n              35.074964853989556\n            ],\n            [\n              -115.2740478515625,\n              35.49198366469642\n            ],\n            [\n              -115.9881591796875,\n              35.3308118573182\n            ],\n            [\n              -116.25183105468751,\n              34.8183131456094\n            ],\n            [\n              -115.6365966796875,\n              34.415973384481866\n            ],\n            [\n              -114.36767578124999,\n              34.45221847282654\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-09-20","publicationStatus":"PW","scienceBaseUri":"4f4e4afde4b07f02db697015","contributors":{"authors":[{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":353047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":353048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Field, Jason P.","contributorId":87280,"corporation":false,"usgs":true,"family":"Field","given":"Jason P.","affiliations":[],"preferred":false,"id":353049,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70005651,"text":"70005651 - 2011 - Bridging the conservation design and delivery gap for wetland bird habitat maintenance and restoration in the Midwestern United States","interactions":[],"lastModifiedDate":"2012-02-02T00:15:56","indexId":"70005651","displayToPublicDate":"2011-10-07T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2231,"text":"Journal of Conservation Planning","active":true,"publicationSubtype":{"id":10}},"title":"Bridging the conservation design and delivery gap for wetland bird habitat maintenance and restoration in the Midwestern United States","docAbstract":"The U.S. Fish and Wildlife Service's adoption of Strategic Habitat Conservation is intended to increase the effectiveness and efficiency of conservation delivery by targeting effort in areas where biological benefits are greatest. Conservation funding has not often been allocated in accordance with explicit biological endpoints, and the gap between conservation design (the identification of conservation priority areas) and delivery needs to be bridged to better meet conservation goals for multiple species and landscapes. We introduce a regional prioritization scheme for North American Wetlands Conservation Act funding which explicitly addresses Midwest regional goals for wetland-dependent birds. We developed decision-support maps to guide conservation of breeding and non-breeding wetland bird habitat. This exercise suggested ~55% of the Midwest consists of potential wetland bird habitat, and areas suited for maintenance (protection) were distinguished from those most suited to restoration. Areas with greater maintenance focus were identified for central Minnesota, southeastern Wisconsin, the Upper Mississippi and Illinois rivers, and the shore of western Lake Erie and Saginaw Bay. The shores of Lakes Michigan and Superior accommodated fewer waterbird species overall, but were also important for wetland bird habitat maintenance. Abundant areas suited for wetland restoration occurred in agricultural regions of central Illinois, western Iowa, and northern Indiana and Ohio. Use of this prioritization scheme can increase effectiveness, efficiency, transparency, and credibility to land and water conservation efforts for wetland birds in the Midwestern United States.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Conservation Planning","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"University of Florida","publisherLocation":"Gainesville, FL","usgsCitation":"Thogmartin, W., Potter, B., and Soulliere, G., 2011, Bridging the conservation design and delivery gap for wetland bird habitat maintenance and restoration in the Midwestern United States: Journal of Conservation Planning, v. 7, p. 1-12.","productDescription":"12 p.","startPage":"1","endPage":"12","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":204544,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":94373,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.journalconsplanning.org/2011/index.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Midwest","volume":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ae4b07f02db5fb3ac","contributors":{"authors":[{"text":"Thogmartin, W.E. 0000-0002-2384-4279","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":26392,"corporation":false,"usgs":true,"family":"Thogmartin","given":"W.E.","affiliations":[],"preferred":false,"id":353008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Potter, B.","contributorId":10147,"corporation":false,"usgs":true,"family":"Potter","given":"B.","email":"","affiliations":[],"preferred":false,"id":353007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soulliere, G.","contributorId":31107,"corporation":false,"usgs":true,"family":"Soulliere","given":"G.","email":"","affiliations":[],"preferred":false,"id":353009,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70005407,"text":"70005407 - 2011 - Population assessment and potential functional roles of native mussels in the Upper Mississippi River","interactions":[],"lastModifiedDate":"2021-01-06T15:15:44.512971","indexId":"70005407","displayToPublicDate":"2011-10-07T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Population assessment and potential functional roles of native mussels in the Upper Mississippi River","docAbstract":"1. Despite a heightened global concern for native mussels, fundamental research on mussel ecology in large rivers is lacking. These gaps in knowledge about where mussels occur, and why, are limiting habitat restoration activities.  2. Large-scale systematic surveys for native mussels in three reaches of the Upper Mississippi River documented mussel communities composed of 16&ndash;23 species and ranging from 2.9&ndash;4.5 live mussels m<sup>-2</sup> that were actively recruiting new cohorts into their populations (87&ndash;100% of the species were found as juveniles 5 years old). Estimates of mean tissue biomass and production in these reaches ranged from 2.1&ndash;3.1 g C m<sup>-2</sup> and 0.4&ndash;0.6 g C m<sup>-2</sup>year<sup>-1</sup>, respectively.  3. Mussels filtered a significant amount of water (range, 0.05&ndash;0.07 m<sup>3</sup>m<sup>-2</sup>d<sup>-1</sup>) over a 480 km reach of the Upper Mississippi River &mdash; amounting to a filtration rate of 53.1 million m<sup>3</sup>day<sup>-1</sup>. The filtration rate of mussels as a percentage of river discharge ranged from 0.5&ndash;1.4% at high flows (5% exceedance), from 1.5&ndash;4.4% at moderate flows (50% exceedance) and from 4.4&ndash;12.2% during low flows (95% exceedance).  4. Collectively, these data suggest that native mussels play an integral role in this ecosystem by sequestering suspended materials that can be used by other benthic organisms.","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/aqc.1170","usgsCitation":"Newton, T., Zigler, S.J., Rogala, J.T., Gray, B.R., and Davis, M., 2011, Population assessment and potential functional roles of native mussels in the Upper Mississippi River: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 21, no. 2, p. 122-131, https://doi.org/10.1002/aqc.1170.","productDescription":"10 p.","startPage":"122","endPage":"131","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":204470,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.384765625,\n              36.84446074079564\n            ],\n            [\n              -89.1650390625,\n              37.579412513438385\n            ],\n            [\n              -89.912109375,\n              38.51378825951165\n            ],\n            [\n              -90.3955078125,\n              39.40224434029275\n            ],\n            [\n              -90.966796875,\n              40.27952566881291\n            ],\n            [\n              -89.82421875,\n              42.032974332441405\n            ],\n            [\n              -90.7470703125,\n              42.97250158602597\n            ],\n            [\n              -91.2744140625,\n              44.465151013519616\n            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           37.89219554724437\n            ],\n            [\n              -89.384765625,\n              36.84446074079564\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-02-23","publicationStatus":"PW","scienceBaseUri":"4f4e4ad6e4b07f02db68423e","contributors":{"authors":[{"text":"Newton, Teresa J. 0000-0001-9351-5852","orcid":"https://orcid.org/0000-0001-9351-5852","contributorId":78696,"corporation":false,"usgs":true,"family":"Newton","given":"Teresa J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":352437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zigler, Steven J. 0000-0002-4153-0652 szigler@usgs.gov","orcid":"https://orcid.org/0000-0002-4153-0652","contributorId":2410,"corporation":false,"usgs":true,"family":"Zigler","given":"Steven","email":"szigler@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":352433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rogala, James T. 0000-0002-1954-4097 jrogala@usgs.gov","orcid":"https://orcid.org/0000-0002-1954-4097","contributorId":2651,"corporation":false,"usgs":true,"family":"Rogala","given":"James","email":"jrogala@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":352435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Brian R. 0000-0001-7682-9550 brgray@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":2615,"corporation":false,"usgs":true,"family":"Gray","given":"Brian","email":"brgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":352434,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, Mike","contributorId":50284,"corporation":false,"usgs":true,"family":"Davis","given":"Mike","affiliations":[],"preferred":false,"id":352436,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70005625,"text":"70005625 - 2011 - Bi-phasic trends in mercury concentrations in blood of Wisconsin common loons during 1992-2010","interactions":[],"lastModifiedDate":"2021-02-12T22:51:14.156526","indexId":"70005625","displayToPublicDate":"2011-10-07T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Bi-phasic trends in mercury concentrations in blood of Wisconsin common loons during 1992-2010","docAbstract":"<p><span>We assessed the ecological risk of mercury (Hg) in aquatic systems by monitoring common loon (</span><i>Gavia immer</i><span>) population dynamics and blood Hg concentrations. We report temporal trends in blood Hg concentrations based on 334 samples collected from adults recaptured in subsequent years (resampled 2–9 times) and from 421 blood samples of chicks collected at lakes resampled 2–8 times 1992–2010. Temporal trends were identified with generalized additive mixed effects models and mixed effects models to account for the potential lack of independence among observations from the same loon or same lake. Trend analyses indicated that Hg concentrations in the blood of Wisconsin loons declined over the period 1992–2000, and increased during 2002–2010, but not to the level observed in the early 1990s. The best fitting linear mixed effects model included separate trends for the two time periods. The estimated trend in Hg concentration among the adult loon population during 1992–2000 was −2.6% per year, and the estimated trend during 2002–2010 was +1.8% per year; chick blood Hg concentrations decreased −6.5% per year during 1992–2000, but increased 1.8% per year during 2002–2010. This bi-phasic pattern is similar to trends observed for concentrations of methylmercury and SO</span><sub>4</sub><span>&nbsp;in lake water of an intensely studied seepage lake (Little Rock Lake, Vilas County) within our study area. A cause-effect relationship between these independent trends is hypothesized.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10646-011-0759-1","usgsCitation":"Meyer, M., Rasmussen, P.W., Watras, C.J., Fevold, B.M., and Kenow, K.P., 2011, Bi-phasic trends in mercury concentrations in blood of Wisconsin common loons during 1992-2010: Ecotoxicology, v. 20, no. 7, p. 1659-1668, https://doi.org/10.1007/s10646-011-0759-1.","productDescription":"10 p.","startPage":"1659","endPage":"1668","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":204520,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Vilas County","otherGeospatial":"Little Rock Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.70854043960571,\n              45.993398833271854\n            ],\n            [\n              -89.69725370407104,\n              45.993398833271854\n            ],\n            [\n              -89.69725370407104,\n              46.00141850315329\n            ],\n            [\n              -89.70854043960571,\n              46.00141850315329\n            ],\n            [\n              -89.70854043960571,\n              45.993398833271854\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"20","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-08-02","publicationStatus":"PW","scienceBaseUri":"4f4e4a52e4b07f02db62a791","contributors":{"authors":[{"text":"Meyer, Michael W.","contributorId":38943,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael W.","affiliations":[],"preferred":false,"id":352975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rasmussen, Paul W.","contributorId":17753,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Paul","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":352974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watras, Carl J.","contributorId":88870,"corporation":false,"usgs":true,"family":"Watras","given":"Carl","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":352976,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fevold, Brick M.","contributorId":97241,"corporation":false,"usgs":true,"family":"Fevold","given":"Brick","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":352977,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kenow, Kevin P. 0000-0002-3062-5197 kkenow@usgs.gov","orcid":"https://orcid.org/0000-0002-3062-5197","contributorId":3339,"corporation":false,"usgs":true,"family":"Kenow","given":"Kevin","email":"kkenow@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":352973,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70005596,"text":"70005596 - 2011 - Effects of wetland vs. landscape variables on parasite communities of Rana pipiens: Links to anthropogenic factors","interactions":[],"lastModifiedDate":"2023-10-17T10:59:53.485688","indexId":"70005596","displayToPublicDate":"2011-10-07T00:00:00","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}},"displayTitle":"Effects of wetland vs. landscape variables on parasite communities of <i>Rana pipiens</i>: Links to anthropogenic factors","title":"Effects of wetland vs. landscape variables on parasite communities of Rana pipiens: Links to anthropogenic factors","docAbstract":"<p>The emergence of several diseases affecting amphibian populations worldwide has prompted investigations into determinants of the occurrence and abundance of parasites in frogs. To understand the spatial scales and identify specific environmental factors that determine risks of parasitism in frogs, helminth communities in metamorphic frogs of the northern leopard frog (<i>Rana pipiens</i>) were examined in relation to wetland and landscape factors at local (1 km) and regional (10 km) spatial extents in an agricultural region of Minnesota (USA) using regression analyses, ordination, and variance partitioning techniques. Greater amounts of forested and woody wetland habitats, shorter distances between woody wetlands, and smaller-sized open water patches in surrounding landscapes were the most consistently positive correlates with the abundances, richness, and diversity of helminths found in the frogs. Wetland and local landscape variables were suggested as most important for larval trematode abundances, whereas local and regional landscape variables appeared most important for adult helminths. As previously reported, the sum concentration of atrazine and its metabolite desethylatrazine, was the strongest predictor of larval trematode communities. In this report, we highlight the additional influences of landscape factors. In particular, our data suggest that anthropogenic activities that have resulted in the loss of the availability and connectivity of suitable habitats in the surrounding landscapes of wetlands are associated with declines in helminth richness and abundance, but that alteration of wetland water quality through eutrophication or pesticide contamination may facilitate the transmission of certain parasite taxa when they are present at wetlands. Although additional research is needed to quantify the negative effects of parasitism on frog populations, efforts to reduce inputs of agrochemicals into wetlands to limit larval trematode infections may be warranted, given the current high rates of amphibian declines and extinction events.</p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/10-0374.1","usgsCitation":"Schotthoefer, A.M., Rohr, J.R., Cole, R.A., Koehler, A., Johnson, C.M., Johnson, L.B., and Beasley, V.R., 2011, Effects of wetland vs. landscape variables on parasite communities of Rana pipiens: Links to anthropogenic factors: Ecological Applications, v. 21, no. 4, p. 1257-1271, https://doi.org/10.1890/10-0374.1.","productDescription":"15 p.","startPage":"1257","endPage":"1271","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019157","costCenters":[{"id":456,"text":"National Wildlife Health 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Center","active":true,"usgs":true}],"preferred":true,"id":352936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koehler, Anson V.","contributorId":73740,"corporation":false,"usgs":true,"family":"Koehler","given":"Anson V.","affiliations":[],"preferred":false,"id":352942,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Catherine M.","contributorId":53939,"corporation":false,"usgs":true,"family":"Johnson","given":"Catherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":352941,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Lucinda B.","contributorId":32291,"corporation":false,"usgs":true,"family":"Johnson","given":"Lucinda","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":352939,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beasley, Val R.","contributorId":47077,"corporation":false,"usgs":true,"family":"Beasley","given":"Val","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":352940,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70005567,"text":"70005567 - 2011 - Characterization of plasma vitellogenin and sex hormone concentrations during the annual reproductive cycle of the endangered razorback sucker","interactions":[],"lastModifiedDate":"2020-01-11T12:18:19","indexId":"70005567","displayToPublicDate":"2011-10-07T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of plasma vitellogenin and sex hormone concentrations during the annual reproductive cycle of the endangered razorback sucker","docAbstract":"Population declines of the endangered razorback sucker Xyrauchen texanus in the Colorado River basin have been attributed to predation by and competition with nonnative fishes, habitat alteration, and dam construction. The reproductive health and seasonal variation of the reproductive end points of razorback sucker populations are currently unknown. Using nonlethal methods, we characterized the plasma hormonal fluctuations of reproductively mature female and male razorback suckers over a 12-month period in a hatchery by measuring their vitellogenin (VTG) and three sex hormones: 17&beta;-estradiol (E2), testosterone (T), and 11-ketotestosterone (KT). Fish were identified as reproductive or nonreproductive based on their body weight, VTG, and sex hormone profiles. In reproductive females, the E2 concentration increased in the fall and winter, and increases in T and VTG concentrations were generally associated with the spawning period. Mean T concentrations were consistently greater in reproductive females than in nonreproductive females, but this pattern was even more pronounced during the spawning period (spring). Consistently low T concentrations (<3 ng/mL) in adult females during the spawning period may indicate reproductive impairment. In reproductive males, spring increases in KT and T concentrations were associated with spawning; concentrations of E2 (<0.48 ng/mL) and VTG (<0.001 mg/mL) were low in males throughout the study. In addition, the E2 : KT ratio and T were the best metrics by which to distinguish female from male adult razorback suckers throughout the year. These metrics of reproductive health and condition may be particularly important to recovery efforts of razorback suckers given that the few remaining wild populations are located in a river where water quality and quantity issues are well documented. In addition to the size, age, and recruitment information currently considered in the recovery goals of this endangered species, reproductive end points could be included as recovery metrics with which to monitor seasonal trends and determine whether repatriated populations are cycling naturally.","language":"English","publisher":"Taylor and Francis","doi":"10.1080/02755947.2011.591231","usgsCitation":"Hinck, J.E., Papoulias, D.M., Annis, M., Tillitt, D.E., Marr, C., Denslow, N., Kroll, K.J., and Nachtmann, J., 2011, Characterization of plasma vitellogenin and sex hormone concentrations during the annual reproductive cycle of the endangered razorback sucker: North American Journal of Fisheries Management, v. 31, no. 5, p. 765-781, https://doi.org/10.1080/02755947.2011.591231.","productDescription":"17 p.","startPage":"765","endPage":"781","numberOfPages":"17","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":204445,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-09-20","publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4d52","contributors":{"authors":[{"text":"Hinck, Jo Ellen 0000-0002-4912-5766","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":38507,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"","middleInitial":"Ellen","affiliations":[],"preferred":false,"id":352823,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Papoulias, Diana M. 0000-0002-5106-2469 dpapoulias@usgs.gov","orcid":"https://orcid.org/0000-0002-5106-2469","contributorId":2726,"corporation":false,"usgs":true,"family":"Papoulias","given":"Diana","email":"dpapoulias@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":352821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Annis, Mandy L.","contributorId":41575,"corporation":false,"usgs":true,"family":"Annis","given":"Mandy L.","affiliations":[],"preferred":false,"id":352824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":352820,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marr, Carrie","contributorId":58766,"corporation":false,"usgs":true,"family":"Marr","given":"Carrie","email":"","affiliations":[],"preferred":false,"id":352825,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Denslow, Nancy D.","contributorId":72831,"corporation":false,"usgs":true,"family":"Denslow","given":"Nancy D.","affiliations":[],"preferred":false,"id":352826,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kroll, Kevin J.","contributorId":82051,"corporation":false,"usgs":true,"family":"Kroll","given":"Kevin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":352827,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nachtmann, Jason","contributorId":37055,"corporation":false,"usgs":true,"family":"Nachtmann","given":"Jason","email":"","affiliations":[],"preferred":false,"id":352822,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70003660,"text":"70003660 - 2011 - Physical properties of sediment from the Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope","interactions":[],"lastModifiedDate":"2018-11-29T10:05:24","indexId":"70003660","displayToPublicDate":"2011-10-05T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2382,"text":"Journal of Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Physical properties of sediment from the Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope","docAbstract":"This study characterizes cored and logged sedimentary strata from the February 2007 BP Exploration Alaska, Department of Energy, U.S. Geological Survey (BPXA-DOE-USGS) Mount Elbert Gas Hydrate Stratigraphic Test Well on the Alaska North Slope (ANS). The physical-properties program analyzed core samples recovered from the well, and in conjunction with downhole geophysical logs, produced an extensive dataset including grain size, water content, porosity, grain density, bulk density, permeability, X-ray diffraction (XRD) mineralogy, nuclear magnetic resonance (NMR), and petrography. This study documents the physical property interrelationships in the well and demonstrates their correlation with the occurrence of gas hydrate. Gas hydrate (GH) occurs in three unconsolidated, coarse silt to fine sand intervals within the Paleocene and Eocene beds of the Sagavanirktok Formation: Unit D-GH (614.4 m-627.9 m); unit C-GH1 (649.8 m-660.8 m); and unit C-GH2 (663.2 m-666.3 m). These intervals are overlain by fine to coarse silt intervals with greater clay content. A deeper interval (unit B) is similar lithologically to the gas-hydrate-bearing strata; however, it is water-saturated and contains no hydrate. In this system it appears that high sediment permeability (k) is critical to the formation of concentrated hydrate deposits. Intervals D-GH and C-GH1 have average \"plug\" intrinsic permeability to nitrogen values of 1700 mD and 675 mD, respectively. These values are in strong contrast with those of the overlying, gas-hydrate-free sediments, which have k values of 5.7 mD and 49 mD, respectively, and thus would have provided effective seals to trap free gas. The relation between permeability and porosity critically influences the occurrence of GH. For example, an average increase of 4% in porosity increases permeability by an order of magnitude, but the presence of a second fluid (e.g., methane from dissociating gas hydrate) in the reservoir reduces permeability by more than an order of magnitude.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.marpetgeo.2010.01.008","usgsCitation":"Winters, W.J., Walker, M., Hunter, R., Collett, T.S., Boswell, R.M., Rose, K.K., Waite, W., Torres, M., Patil, S., and Dandekar, A., 2011, Physical properties of sediment from the Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Journal of Marine and Petroleum Geology, v. 28, no. 2, p. 361-380, https://doi.org/10.1016/j.marpetgeo.2010.01.008.","productDescription":"20 p.","startPage":"361","endPage":"380","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474912,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/4400","text":"External Repository"},{"id":204542,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"28","issue":"2","edition":"2011","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db685b1a","contributors":{"authors":[{"text":"Winters, William J. bwinters@usgs.gov","contributorId":522,"corporation":false,"usgs":true,"family":"Winters","given":"William","email":"bwinters@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":348209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, Michael","contributorId":7755,"corporation":false,"usgs":true,"family":"Walker","given":"Michael","affiliations":[],"preferred":false,"id":348212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunter, Robert","contributorId":50285,"corporation":false,"usgs":true,"family":"Hunter","given":"Robert","affiliations":[],"preferred":false,"id":348214,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":348211,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boswell, Ray M.","contributorId":72926,"corporation":false,"usgs":true,"family":"Boswell","given":"Ray","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":348215,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rose, Kelly K.","contributorId":82452,"corporation":false,"usgs":true,"family":"Rose","given":"Kelly","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":348216,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Waite, William F. 0000-0002-9436-4109 wwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-9436-4109","contributorId":625,"corporation":false,"usgs":true,"family":"Waite","given":"William F.","email":"wwaite@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":348210,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Torres, Marta","contributorId":86477,"corporation":false,"usgs":true,"family":"Torres","given":"Marta","affiliations":[],"preferred":false,"id":348217,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Patil, Shirish","contributorId":86478,"corporation":false,"usgs":true,"family":"Patil","given":"Shirish","email":"","affiliations":[],"preferred":false,"id":348218,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dandekar, Abhijit","contributorId":22896,"corporation":false,"usgs":true,"family":"Dandekar","given":"Abhijit","email":"","affiliations":[],"preferred":false,"id":348213,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70005673,"text":"ofr20111205 - 2011 - Distribution of transmissivity and yield of the surficial, Castle Hayne, and Peedee aquifers in Northern New Hanover County, North Carolina","interactions":[],"lastModifiedDate":"2012-03-08T17:16:41","indexId":"ofr20111205","displayToPublicDate":"2011-10-04T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1205","title":"Distribution of transmissivity and yield of the surficial, Castle Hayne, and Peedee aquifers in Northern New Hanover County, North Carolina","docAbstract":"Data were collected from more than 230 wells in northern New Hanover County, North Carolina, to evaluate the distribution of transmissivity and yield of the surficial, Castle Hayne, and Peedee aquifers of the Coastal Plain Physiographic Province. Constant-rate,single-well aquifer test data were obtained and analyzed to calculate additional transmissivity values for 25 production wells that were completed in the Castle Hayne or Peedee aquifer. In the surficial aquife, transmissivity values ranged from 400 to 12,700 feet squared per day, and reported yields ranged from 6 to 100 gallons per minute. In the Castle Hayne aquifer, transmissivity values ranged from 1,400 to 18,700 feet squared per day, and reported yields ranged from 9 to 640 gallons per minute. In the Peedee aquifer, transmissivity values ranged from 530 to 18,600 feet squared per day, and reported yields ranged from 8 to 1,000 gallons per minute.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111205","collaboration":"Prepared in cooperation with the Cape Fear Public Utility Authority","usgsCitation":"McSwain, K., and Nagy, L.A., 2011, Distribution of transmissivity and yield of the surficial, Castle Hayne, and Peedee aquifers in Northern New Hanover County, North Carolina: U.S. Geological Survey Open-File Report 2011-1205, 1 Sheet: 34 x 36 inches, https://doi.org/10.3133/ofr20111205.","productDescription":"1 Sheet: 34 x 36 inches","temporalStart":"2004-12-01","temporalEnd":"2008-09-30","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":116547,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1205.jpg"},{"id":94295,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1205/","linkFileType":{"id":5,"text":"html"}}],"scale":"500000","country":"United States","state":"North Carolina","county":"New Hanover","otherGeospatial":"Castle Hayne Aquifer;Peedee Aquifer;Coastal Plain Physiographic Province","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78.00083333333333,34.23416666666667 ], [ -78.00083333333333,34.416666666666664 ], [ -77.73416666666667,34.416666666666664 ], [ -77.73416666666667,34.23416666666667 ], [ -78.00083333333333,34.23416666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6de4b07f02db63f2f9","contributors":{"authors":[{"text":"McSwain, Kristen Bukowski","contributorId":104458,"corporation":false,"usgs":true,"family":"McSwain","given":"Kristen Bukowski","affiliations":[],"preferred":false,"id":353046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagy, Laura A. lnagy@usgs.gov","contributorId":5427,"corporation":false,"usgs":true,"family":"Nagy","given":"Laura","email":"lnagy@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353045,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005677,"text":"ofr20101094 - 2011 - Continuous resistivity profiling data from the Corsica River Estuary, Maryland","interactions":[],"lastModifiedDate":"2018-05-02T21:29:11","indexId":"ofr20101094","displayToPublicDate":"2011-10-04T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1094","title":"Continuous resistivity profiling data from the Corsica River Estuary, Maryland","docAbstract":"Submarine groundwater discharge (SGD) into Maryland's Corsica River Estuary was investigated as part of a larger study to determine its importance in nutrient delivery to the Chesapeake Bay. The Corsica River Estuary represents a coastal lowland setting typical of much of the eastern bay. An interdisciplinary U.S. Geological Survey (USGS) science team conducted field operations in the lower estuary in April and May 2007. Resource managers are concerned about nutrients that are entering the estuary via SGD that may be contributing to eutrophication, harmful algal blooms, and fish kills. Techniques employed in the study included continuous resistivity profiling (CRP), piezometer sampling of submarine groundwater, and collection of a time series of radon tracer activity in surface water. A CRP system measures electrical resistivity of saturated subestuarine sediments to distinguish those bearing fresh water (high resistivity) from those with saline or brackish pore water (low resistivity). This report describes the collection and processing of CRP data and summarizes the results. Based on a grid of 67.6 kilometers of CRP data, low-salinity (high-resistivity) groundwater extended approximately 50-400 meters offshore from estuary shorelines at depths of 5 to >12 meters below the sediment surface, likely beneath a confining unit. A band of low-resistivity sediment detected along the axis of the estuary indicated the presence of a filled paleochannel containing brackish groundwater. The meandering paleochannel likely incised through the confining unit during periods of lower sea level, allowing the low-salinity groundwater plumes originating from land to mix with brackish subestuarine groundwater along the channel margins and to discharge. A better understanding of the spatial variability and geological controls of submarine groundwater flow beneath the Corsica River Estuary could lead to improved models and mitigation strategies for nutrient over-enrichment in the estuary and in other similar settings.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101094","usgsCitation":"Cross, V., Bratton, J., Worley, C., Crusius, J., and Kroeger, K., 2011, Continuous resistivity profiling data from the Corsica River Estuary, Maryland: U.S. Geological Survey Open-File Report 2010-1094, HTML Document; DVD-ROM, https://doi.org/10.3133/ofr20101094.","productDescription":"HTML Document; DVD-ROM","temporalStart":"2007-04-01","temporalEnd":"2007-05-31","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116026,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1094.gif"},{"id":94293,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1094/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Maryl","otherGeospatial":"Corsica River Estuary","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.15083333333334,39.05 ], [ -76.15083333333334,39.1 ], [ -76.1,39.1 ], [ -76.1,39.05 ], [ -76.15083333333334,39.05 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afde4b07f02db696aac","contributors":{"authors":[{"text":"Cross, V.A.","contributorId":88687,"corporation":false,"usgs":true,"family":"Cross","given":"V.A.","email":"","affiliations":[],"preferred":false,"id":353055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bratton, J.F.","contributorId":94354,"corporation":false,"usgs":true,"family":"Bratton","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":353056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Worley, C.R.","contributorId":43479,"corporation":false,"usgs":true,"family":"Worley","given":"C.R.","email":"","affiliations":[],"preferred":false,"id":353054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crusius, John 0000-0003-2554-0831 jcrusius@usgs.gov","orcid":"https://orcid.org/0000-0003-2554-0831","contributorId":2155,"corporation":false,"usgs":true,"family":"Crusius","given":"John","email":"jcrusius@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":353053,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kroeger, K.D.","contributorId":26060,"corporation":false,"usgs":true,"family":"Kroeger","given":"K.D.","email":"","affiliations":[],"preferred":false,"id":353052,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70005682,"text":"ofr20111268 - 2011 - Simulating potential structural and operational changes for Detroit Dam on the North Santiam River, Oregon-Interim Results","interactions":[{"subject":{"id":70005682,"text":"ofr20111268 - 2011 - Simulating potential structural and operational changes for Detroit Dam on the North Santiam River, Oregon-Interim Results","indexId":"ofr20111268","publicationYear":"2011","noYear":false,"title":"Simulating potential structural and operational changes for Detroit Dam on the North Santiam River, Oregon-Interim Results"},"predicate":"SUPERSEDED_BY","object":{"id":70040571,"text":"sir20125231 - 2012 - Simulating potential structural and operational changes for Detroit Dam on the North Santiam River, Oregon, for downstream temperature management","indexId":"sir20125231","publicationYear":"2012","noYear":false,"title":"Simulating potential structural and operational changes for Detroit Dam on the North Santiam River, Oregon, for downstream temperature management"},"id":1}],"supersededBy":{"id":70040571,"text":"sir20125231 - 2012 - Simulating potential structural and operational changes for Detroit Dam on the North Santiam River, Oregon, for downstream temperature management","indexId":"sir20125231","publicationYear":"2012","noYear":false,"title":"Simulating potential structural and operational changes for Detroit Dam on the North Santiam River, Oregon, for downstream temperature management"},"lastModifiedDate":"2012-03-08T17:16:40","indexId":"ofr20111268","displayToPublicDate":"2011-10-04T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1268","title":"Simulating potential structural and operational changes for Detroit Dam on the North Santiam River, Oregon-Interim Results","docAbstract":"Prior to operational changes in 2007, Detroit Dam on the North Santiam River in western Oregon had a well-documented effect on downstream water temperature that was problematic for endangered salmonid fish species. In this U.S. Geological Survey study, done in cooperation with the U.S. Army Corps of Engineers, an existing calibrated CE-QUAL-W2 model of Detroit Lake (the impounded waterbody behind Detroit Dam) was used to determine how changes in dam operation or changes to the structural release points of Detroit Dam might affect downstream water temperatures under a range of historical hydrologic and meteorological conditions.\nMany combinations of environmental, operational, and structural options were explored with the model. Two downstream temperature targets were used along with three sets of environmental forcing conditions representing normal, hot/dry, and cool/wet conditions. Three structural options were modeled, including the use of existing outlets, one hypothetical variable-elevation outlet such as a sliding gate, and a hypothetical combination of a floating outlet and a fixed-elevation outlet. Finally, four sets of operational guidelines were explored to gain an understanding of the effects of imposing different downstream minimum streamflows or managing the level of the lake with different timelines in autumn.\nSeveral conclusions can be made from these interim model scenarios:\n* Temperature targets just downstream of Detroit Dam can be met through a combination of new dam outlets or a delayed drawdown of the lake in autumn.\n* Spring and summer dam operations greatly affect the available release temperatures and operational flexibility later in the autumn. Releasing warm water during mid-summer tends to keep more cool water available for release in autumn.\n* The ability to meet downstream temperature targets during spring depends on the characteristics of the available outlets. Under existing conditions, for example, although warm water sometimes is present at the lake surface, such water may not be available for release if the lake level is either well below or well above the spillway crest in spring and early summer.\n* Managing lake releases to meet downstream temperature targets depends on having outlet structures that can access both (warm) lake surface water and (cold) deeper lake water throughout the year. The existing outlets at Detroit Dam do not allow near-surface waters to be released during times when the lake surface level is below the spillway (spring and autumn).\n* Model simulations indicate that delayed drawdown of Detroit Lake in autumn would result in better control over release temperatures.\n* Compared to the existing outlets at Detroit Dam, floating or sliding-gate outlet structures can provide greater control over release temperatures because they provide better access to warm water at the lake surface and cooler water at depth.\nThis report provides interim study results to the U.S. Army Corps of Engineers. The full study will be completed in 2012.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111268","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Buccola, N., and Rounds, S.A., 2011, Simulating potential structural and operational changes for Detroit Dam on the North Santiam River, Oregon-Interim Results: U.S. Geological Survey Open-File Report 2011-1268, vi, 25 p.; Appendices, https://doi.org/10.3133/ofr20111268.","productDescription":"vi, 25 p.; Appendices","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":116335,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1268.jpg"},{"id":94297,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1268/","linkFileType":{"id":5,"text":"html"}}],"state":"Oregon","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f9e4b07f02db5f30ea","contributors":{"authors":[{"text":"Buccola, Norman L. nbuccola@usgs.gov","contributorId":4295,"corporation":false,"usgs":true,"family":"Buccola","given":"Norman L.","email":"nbuccola@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":353068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353067,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005684,"text":"sir20115106 - 2011 - Characterization of salinity and selenium loading and land-use change in Montrose Arroyo, western Colorado, from 1992 to 2010","interactions":[],"lastModifiedDate":"2012-02-10T00:12:00","indexId":"sir20115106","displayToPublicDate":"2011-10-04T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5106","title":"Characterization of salinity and selenium loading and land-use change in Montrose Arroyo, western Colorado, from 1992 to 2010","docAbstract":"Salinity and selenium are naturally occurring and perva-sive in the lower Gunnison River Basin of Colorado, includ-ing the watershed of Montrose Arroyo. Although some of the salinity and selenium loading in the Montrose Arroyo study area is from natural sources, additional loading has resulted from the introduction of intensive irrigation in the water-shed. With increasing land-use change and the conversion from irrigated agricultural to urban land, land managers and stakeholders need information about the long-term effects of land-use change on salinity and selenium loading. In response to the need to advance salinity and selenium science, the U.S. Geological Survey, in cooperation with the Bureau of Reclamation, Colorado River Basin Salinity Control Forum, and Colorado River Water Conservation District, developed a study to characterize salinity and selenium loading and how salinity and selenium sources may relate to land-use change in Montrose Arroyo. This report characterizes changes in salinity and selenium loading to Montrose Arroyo from March 1992 to February 2010 and the magnitude of land-use change between unirrigated desert, irrigated agricultural, and urban land-use/land-cover types, and discusses how the respective loads may relate to land-use change. Montrose Arroyo is an approximately 8-square-mile watershed in Montrose County in western Colorado. Salinity and selenium were studied in Montrose Arroyo in a 2001 study as part of a salinity- and selenium-control lateral project. The robust nature of the historical dataset indicated that Montrose Arroyo was a prime watershed for a follow-up study. Two sites from the 2001 study were used to monitor salinity and selenium loads in Montrose Arroyo in the follow-up study. Over the period of 2 water years and respective irrigation seasons (2008-2010), 27 water-quality samples were collected and streamflow measurements were made at the historical sites MA2 and MA4. Salinity and selenium concen-trations, loads, and streamflow were compared between the pre-lateral-project and post-growth periods and between the post-lateral-project and post-growth periods.  No significant differences in streamflow, salinity (concen-tration and load), or selenium (concentration and load) were found at MA4 between the pre-lateral project and post-growth periods or between the post-lateral-project and post-growth periods. The statistical analysis indicated no significant dif-ferences in streamflow or salinity (both concentration and load) between the pre-lateral-project and post-growth periods or between the post-lateral-project and post-growth periods at MA2; however, selenium concentrations and loads were significantly greater between the pre-lateral-project and post-growth periods and between the post-lateral-project and post-growth periods at MA2. Land-use change between MA4 and MA2 may have contributed to the determined differences in selenium values, but the specific mechanisms causing the increases between periods are unknown.  The size of the urbanized area in Montrose Arroyo was quantified for 1993, 2002, and 2009 by using a geographic information system (GIS) with imagery from the specified years. The greatest change in land use from 1993 to 2009 was the increase of urban land due to conversion from irrigated agricultural land. The conversion of previously unirrigated desert to urban land or irrigated agriculture could become more common if urbanization and development expands into the eastern part of the watershed because a majority of the un-urbanized land in eastern Montrose Arroyo is unirrigated desert.  By applying GIS to the City of Montrose 2008 com-prehensive growth plan, it was estimated that approximately 786 acres of previously irrigated agricultural land will be converted to urban land and 689 acres of unirrigated desert will be converted to urban land under the plan scenario. New development on previously unirrigated land in shale areas would likely increase the potential for mobilization of sele-nium and salinity from new sources to Montrose Arroyo and the Lower Gunnison River Basin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115106","collaboration":"Prepared in cooperation with the Bureau of Reclamation, the Colorado River Basin Salinity Control Forum, and the Colorado River Water Conservation District","usgsCitation":"Moore, J.L., 2011, Characterization of salinity and selenium loading and land-use change in Montrose Arroyo, western Colorado, from 1992 to 2010: U.S. Geological Survey Scientific Investigations Report 2011-5106, v, 23 p., https://doi.org/10.3133/sir20115106.","productDescription":"v, 23 p.","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":116548,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5106.png"},{"id":94299,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5106/","linkFileType":{"id":5,"text":"html"}}],"scale":"1000000","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.83333333333333,37.833333333333336 ], [ -108.83333333333333,39.416666666666664 ], [ -107,39.416666666666664 ], [ -107,37.833333333333336 ], [ -108.83333333333333,37.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49a2e4b07f02db5beb92","contributors":{"authors":[{"text":"Moore, Jennifer L.","contributorId":68447,"corporation":false,"usgs":true,"family":"Moore","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":353073,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70005419,"text":"70005419 - 2011 - Ecosystem ecology meets adaptive management: food web response to a controlled flood on the Colorado River, Glen Canyon","interactions":[],"lastModifiedDate":"2021-01-11T18:03:07.881267","indexId":"70005419","displayToPublicDate":"2011-10-03T00:00:00","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":"Ecosystem ecology meets adaptive management: food web response to a controlled flood on the Colorado River, Glen Canyon","docAbstract":"<p><span>Large dams have been constructed on rivers to meet human demands for water, electricity, navigation, and recreation. As a consequence, flow and temperature regimes have been altered, strongly affecting river food webs and ecosystem processes. Experimental high‐flow dam releases, i.e., controlled floods, have been implemented on the Colorado River, USA, in an effort to reestablish pulsed flood events, redistribute sediments, improve conditions for native fishes, and increase understanding of how dam operations affect physical and biological processes. We quantified secondary production and organic matter flows in the food web below Glen Canyon dam for two years prior and one year after an experimental controlled flood in March 2008. Invertebrate biomass and secondary production declined significantly following the flood (total biomass, 55% decline; total production, 56% decline), with most of the decline driven by reductions in two nonnative invertebrate taxa,&nbsp;</span><i>Potamopyrgus antipodarum</i><span>&nbsp;and&nbsp;</span><i>Gammarus lacustris</i><span>. Diatoms dominated the trophic basis of invertebrate production before and after the controlled flood, and the largest organic matter flows were from diatoms to the three most productive invertebrate taxa (</span><i>P. antipodarum</i><span>,&nbsp;</span><i>G. lacustris</i><span>, and Tubificida). In contrast to invertebrates, production of rainbow trout (</span><i>Oncorhynchus mykiss</i><span>) increased substantially (194%) following the flood, despite the large decline in total secondary production of the invertebrate assemblage. This counterintuitive result is reconciled by a post‐flood increase in production and drift concentrations of select invertebrate prey (i.e., Chironomidae and Simuliidae) that supported a large proportion of trout production but had relatively low secondary production. In addition, interaction strengths, measured as species impact values, were strongest between rainbow trout and these two taxa before and after the flood, demonstrating that the dominant consumer–resource interactions were not necessarily congruent with the dominant organic matter flows. Our study illustrates the value of detailed food web analysis for elucidating pathways by which dam management may alter production and strengths of species interactions in river food webs. We suggest that controlled floods may increase production of nonnative rainbow trout, and this information can be used to help guide future dam management decisions.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/10-1719.1","usgsCitation":"Cross, W.F., Baxter, C., Donner, K.C., Rosi-Marshall, E.J., Kennedy, T., Hall, R., Wellard Kelly, H.A., and Rogers, R., 2011, Ecosystem ecology meets adaptive management: food web response to a controlled flood on the Colorado River, Glen Canyon: Ecological Applications, v. 21, no. 6, p. 2016-2033, https://doi.org/10.1890/10-1719.1.","productDescription":"18 p.","startPage":"2016","endPage":"2033","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":204413,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Glen Canyon Dam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.17315673828125,\n              36.33725319397006\n            ],\n            [\n              -111.14593505859375,\n              36.33725319397006\n            ],\n            [\n              -111.14593505859375,\n              36.99158465967016\n            ],\n            [\n              -112.17315673828125,\n              36.99158465967016\n            ],\n            [\n              -112.17315673828125,\n              36.33725319397006\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4be4b07f02db625a1c","contributors":{"authors":[{"text":"Cross, Wyatt F.","contributorId":70881,"corporation":false,"usgs":true,"family":"Cross","given":"Wyatt","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":352448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baxter, Colden V.","contributorId":47334,"corporation":false,"usgs":false,"family":"Baxter","given":"Colden V.","affiliations":[{"id":13656,"text":"Idaho State Univ.","active":true,"usgs":false}],"preferred":false,"id":352446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donner, Kevin C.","contributorId":105427,"corporation":false,"usgs":true,"family":"Donner","given":"Kevin","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":352451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosi-Marshall, Emma J.","contributorId":17722,"corporation":false,"usgs":true,"family":"Rosi-Marshall","given":"Emma","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":352445,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kennedy, Theodore A. 0000-0003-3477-3629","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":50227,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":352447,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hall, Robert O. Jr.","contributorId":104182,"corporation":false,"usgs":true,"family":"Hall","given":"Robert O.","suffix":"Jr.","affiliations":[],"preferred":false,"id":352450,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wellard Kelly, Holly A.","contributorId":72115,"corporation":false,"usgs":true,"family":"Wellard Kelly","given":"Holly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":352449,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rogers, R. Scott","contributorId":14944,"corporation":false,"usgs":true,"family":"Rogers","given":"R. Scott","affiliations":[],"preferred":false,"id":352444,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70003986,"text":"70003986 - 2011 - Bioaccumulation dynamics and exposure routes of Cd and Cu among species of aquatic mayflies","interactions":[],"lastModifiedDate":"2021-02-23T15:57:32.913208","indexId":"70003986","displayToPublicDate":"2011-10-01T13:29:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Bioaccumulation dynamics and exposure routes of Cd and Cu among species of aquatic mayflies","docAbstract":"<p><span>Consumption of periphyton is a potentially important route of metal exposure to benthic invertebrate grazers. The present study examined the bioaccumulation kinetics of dissolved and dietary Cd and Cu in five species of mayflies (class Insecta). Artificial stream water and benthic diatoms were separately labeled with enriched stable metal isotopes to determine physiological rate constants used by a biokinetic bioaccumulation model. The model was employed to simulate the effects of metal partitioning between water and food, expressed as the bioconcentration factor (BCF), as well as ingestion rate (IR) and metal assimilation efficiency of food (AE), on the relative importance of water and food to metal bioaccumulation. For all test species, the contribution of dietary uptake of Cd and Cu increased with BCF. For a given BCF, the contribution of food to the body burden increased with&nbsp;</span><i>k</i><sub>uf</sub><span>, the metal uptake rate constant from food that combined variation in IR and AE. To explore the relative importance of water and diet exposure routes under field conditions, we used estimated site‐specific aqueous free‐ion concentrations to model Cd and Cu accumulation from aqueous exposure, exclusively. The predicted concentrations accounted for less than 5% of the observed concentrations, implying that most bioaccumulated metal was acquired from food. At least for the taxa considered in this study, we conclude that consumption of metal‐contaminated periphyton can result in elevated metal body burdens and potentially increase the risk of metal toxicity.</span></p>","language":"English","publisher":"SETAC","doi":"10.1002/etc.663","usgsCitation":"Cain, D., Croteau, M., and Luoma, S., 2011, Bioaccumulation dynamics and exposure routes of Cd and Cu among species of aquatic mayflies: Environmental Toxicology and Chemistry, v. 30, no. 11, p. 2532-2541, https://doi.org/10.1002/etc.663.","productDescription":"10 p.","startPage":"2532","endPage":"2541","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":204183,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"30","issue":"11","noUsgsAuthors":false,"publicationDate":"2011-11-01","publicationStatus":"PW","scienceBaseUri":"5059f137e4b0c8380cd4aadb","contributors":{"authors":[{"text":"Cain, Daniel","contributorId":37883,"corporation":false,"usgs":true,"family":"Cain","given":"Daniel","affiliations":[],"preferred":false,"id":350041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Croteau, Marie-Noële","contributorId":22863,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie-Noële","affiliations":[],"preferred":false,"id":350040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luoma, Samuel","contributorId":12175,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","affiliations":[],"preferred":false,"id":350039,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70146241,"text":"70146241 - 2011 - Book review: Extreme ocean waves","interactions":[],"lastModifiedDate":"2015-12-11T12:19:25","indexId":"70146241","displayToPublicDate":"2011-10-01T11:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Extreme ocean waves","docAbstract":"<p>&lsquo;&lsquo;Extreme Ocean Waves&rsquo;&rsquo; is a collection of ten papers edited by Efim Pelinovsky and Christian Kharif that followed the April 2007 meeting of the General Assembly of the European Geosciences Union. A note on terminology: extreme waves in this volume broadly encompass different types of waves, includ- ing deep-water and shallow-water rogue waves (alternatively termed freak waves), storm surges from cyclones, and internal waves. Other types of waves such as tsunamis or rissaga (meteotsunamis) are not discussed in this volume. It is generally implied that &lsquo;&lsquo;extreme&rsquo;&rsquo; has a statistical connotation relative to the average or significant wave height specific to each type of wave. Throughout the book, in fact, the reader will find a combination of theoretical and statistical/ empirical treatment necessary for the complete examination of this subject. In the introduction, the editors underscore the importance of studying extreme waves, documenting several dramatic instances of damaging extreme waves that occurred in 2007.&nbsp;</p>\n<p>Review info:&nbsp;<span><i>Extreme Ocean Waves</i>. By E. Pelinovsky and C. Kharif (eds), 2008. ISBN: 978-1402083136,&nbsp;xiii, 196 pp.</span></p>","language":"English","publisher":"Birkhaüser Verlag","publisherLocation":"Basel, Switzerland","doi":"10.1007/s00024-010-0249-z","usgsCitation":"Geist, E.L., 2011, Book review: Extreme ocean waves: Pure and Applied Geophysics, v. 168, no. 10, p. 1887-1888, https://doi.org/10.1007/s00024-010-0249-z.","productDescription":"2 p.","startPage":"1887","endPage":"1888","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026442","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":300084,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"168","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2011-01-19","publicationStatus":"PW","scienceBaseUri":"5549e9b0e4b064e4207ca42a","contributors":{"authors":[{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":544884,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70147998,"text":"70147998 - 2011 - A multi-agency nutrient dataset used to estimate loads, improve monitoring design, and calibrate regional nutrient SPARROW models","interactions":[],"lastModifiedDate":"2018-04-02T13:16:16","indexId":"70147998","displayToPublicDate":"2011-10-01T10:30:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"A multi-agency nutrient dataset used to estimate loads, improve monitoring design, and calibrate regional nutrient SPARROW models","docAbstract":"<p>Stream-loading information was compiled from federal, state, and local agencies, and selected universities as part of an effort to develop regional SPAtially Referenced Regressions On Watershed attributes (SPARROW) models to help describe the distribution, sources, and transport of nutrients in streams throughout much of the United States. After screening, 2,739 sites, sampled by 73 agencies, were identified as having suitable data for calculating long-term mean annual nutrient loads required for SPARROW model calibration. These sites had a wide range in nutrient concentrations, loads, and yields, and environmental characteristics in their basins. An analysis of the accuracy in load estimates relative to site attributes indicated that accuracy in loads improve with increases in the number of observations, the proportion of uncensored data, and the variability in flow on observation days, whereas accuracy declines with increases in the root mean square error of the water-quality model, the flow-bias ratio, the number of days between samples, the variability in daily streamflow for the prediction period, and if the load estimate has been detrended. Based on compiled data, all areas of the country had recent declines in the number of sites with sufficient water-quality data to compute accurate annual loads and support regional modeling analyses. These declines were caused by decreases in the number of sites being sampled and data not being entered in readily accessible databases.</p>","language":"English","publisher":"American Water Resources Association","publisherLocation":"Herndon, VA","doi":"10.1111/j.1752-1688.2011.00575.x","usgsCitation":"Saad, D.A., Schwarz, G., Robertson, D.M., and Booth, N., 2011, A multi-agency nutrient dataset used to estimate loads, improve monitoring design, and calibrate regional nutrient SPARROW models: Journal of the American Water Resources Association, v. 47, no. 5, p. 933-949, https://doi.org/10.1111/j.1752-1688.2011.00575.x.","productDescription":"17 p.","startPage":"933","endPage":"949","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024914","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":474915,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/j.1752-1688.2011.00575.x","text":"External Repository"},{"id":300263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2011-08-08","publicationStatus":"PW","scienceBaseUri":"5551d2ace4b0a92fa7e93bcc","contributors":{"authors":[{"text":"Saad, David A. dasaad@usgs.gov","contributorId":121,"corporation":false,"usgs":true,"family":"Saad","given":"David","email":"dasaad@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":546526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":543,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory E.","email":"gschwarz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":false,"id":546528,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":546527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Booth, Nathaniel 0000-0001-6040-1031 nlbooth@usgs.gov","orcid":"https://orcid.org/0000-0001-6040-1031","contributorId":140641,"corporation":false,"usgs":true,"family":"Booth","given":"Nathaniel","email":"nlbooth@usgs.gov","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":546529,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70200727,"text":"70200727 - 2011 - USDA conservation program and practice effects on wetland ecosystem services in the Prairie Pothole Region","interactions":[],"lastModifiedDate":"2018-10-30T09:21:22","indexId":"70200727","displayToPublicDate":"2011-10-01T09:10:11","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":"USDA conservation program and practice effects on wetland ecosystem services in the Prairie Pothole Region","docAbstract":"<p><span>Implementation of the U.S. Department of Agriculture (USDA) Conservation Reserve Program (CRP) and Wetlands Reserve Program (WRP) has resulted in the restoration of &gt;2 million ha of wetland and grassland habitats in the Prairie Pothole Region (PPR). Restoration of habitats through these programs provides diverse ecosystem services to society, but few investigators have evaluated the environmental benefits achieved by these programs. We describe changes in wetland processes, functions, and ecosystem services that occur when wetlands and adjacent uplands on agricultural lands are restored through Farm Bill conservation programs. At the scale of wetland catchments, projects have had positive impacts on water storage, reduction in sedimentation and nutrient loading, plant biodiversity, carbon sequestration, and wildlife habitat. However, lack of information on the geographic location of restored catchments relative to landscape‐level factors (e.g., watershed, proximity to rivers and lakes) limits interpretation of ecosystem services that operate at multiple scales such as floodwater retention, water quality improvement, and wildlife habitat suitability. Considerable opportunity exists for the USDA to incorporate important landscape factors to better target conservation practices and programs to optimize diverse ecosystem services. Restoration of hydrologic processes within wetlands (e.g., hydroperiod, water level dynamics) also requires a better understanding of the influence of conservation cover composition and structure, and management practices that occur in uplands surrounding wetlands. Although conservation programs have enhanced delivery of ecosystem services in the PPR, the use of programs to provide long‐term critical ecosystem services is uncertain because when contracts (especially CRP) expire, economic incentives may favor conversion of land to crop production, rather than reenrollment. As demands for agricultural products (food, fiber, biofuel) increase, Farm Bill conservation programs will become increasingly important to ensure provisioning of ecosystem services to society, especially in agriculturally dominated landscapes. Thus, continued development and support for conservation programs legislated through the Farm Bill will require a more comprehensive understanding of wetland ecological services to better evaluate program achievements relative to conservation goals.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/09-0216.1","usgsCitation":"Gleason, R.A., Euliss, N., Tangen, B., Laubhan, M.K., and Browne, B., 2011, USDA conservation program and practice effects on wetland ecosystem services in the Prairie Pothole Region: Ecological Applications, v. 21, no. sp1, p. S65-S81, https://doi.org/10.1890/09-0216.1.","productDescription":"17 p.","startPage":"S65","endPage":"S81","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":358925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"sp1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10c0d5e4b034bf6a7f16b7","contributors":{"authors":[{"text":"Gleason, Robert A. 0000-0001-5308-8657 rgleason@usgs.gov","orcid":"https://orcid.org/0000-0001-5308-8657","contributorId":2402,"corporation":false,"usgs":true,"family":"Gleason","given":"Robert","email":"rgleason@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":750259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Euliss, Ned ceuliss@usgs.gov","contributorId":192021,"corporation":false,"usgs":true,"family":"Euliss","given":"Ned","email":"ceuliss@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":750260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tangen, Brian 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":167277,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":750261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laubhan, M. K.","contributorId":58583,"corporation":false,"usgs":true,"family":"Laubhan","given":"M.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":750262,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Browne, B.A.","contributorId":85006,"corporation":false,"usgs":true,"family":"Browne","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":750263,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193296,"text":"70193296 - 2011 - A regional modeling framework of phosphorus sources and transport in streams of the southeastern United States","interactions":[],"lastModifiedDate":"2017-11-20T13:57:35","indexId":"70193296","displayToPublicDate":"2011-10-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"A regional modeling framework of phosphorus sources and transport in streams of the southeastern United States","docAbstract":"<p><span>We applied the SPARROW model to estimate phosphorus transport from catchments to stream reaches and subsequent delivery to major receiving water bodies in the Southeastern United States (U.S.). We show that six source variables and five land-to-water transport variables are significant (</span><i>p&nbsp;</i><span>&lt;</span><i>&nbsp;</i><span>0.05) in explaining 67% of the variability in long-term log-transformed mean annual phosphorus yields. Three land-to-water variables are a subset of landscape characteristics that have been used as transport factors in phosphorus indices developed by state agencies and are identified through experimental research as influencing land-to-water phosphorus transport at field and plot scales. Two land-to-water variables – soil organic matter and soil pH – are associated with phosphorus sorption, a significant finding given that most state-developed phosphorus indices do not explicitly contain variables for sorption processes. Our findings for Southeastern U.S. streams emphasize the importance of accounting for phosphorus present in the soil profile to predict attainable instream water quality. Regional estimates of phosphorus associated with soil-parent rock were highly significant in explaining instream phosphorus yield variability. Model predictions associate 31% of phosphorus delivered to receiving water bodies to geology and the highest total phosphorus yields in the Southeast were catchments with already high background levels that have been impacted by human activity.</span></p>","language":"English","publisher":"American Water Resources Association","doi":"10.1111/j.1752-1688.2010.00517.x","usgsCitation":"Garcia, A.M., Hoos, A.B., and Terziotti, S., 2011, A regional modeling framework of phosphorus sources and transport in streams of the southeastern United States: Journal of the American Water Resources Association, v. 47, no. 5, p. 991-1010, https://doi.org/10.1111/j.1752-1688.2010.00517.x.","productDescription":"20 p.","startPage":"991","endPage":"1010","ipdsId":"IP-005415","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":474917,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/j.1752-1688.2010.00517.x","text":"External Repository"},{"id":349143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"47","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2011-03-10","publicationStatus":"PW","scienceBaseUri":"5a6107bce4b06e28e9c255f7","contributors":{"authors":[{"text":"Garcia, Ana Maria 0000-0002-5388-1281 agarcia@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-1281","contributorId":2035,"corporation":false,"usgs":true,"family":"Garcia","given":"Ana","email":"agarcia@usgs.gov","middleInitial":"Maria","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":718579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoos, Anne B. abhoos@usgs.gov","contributorId":2236,"corporation":false,"usgs":true,"family":"Hoos","given":"Anne","email":"abhoos@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":718578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terziotti, Silvia 0000-0003-3559-5844 seterzio@usgs.gov","orcid":"https://orcid.org/0000-0003-3559-5844","contributorId":1613,"corporation":false,"usgs":true,"family":"Terziotti","given":"Silvia","email":"seterzio@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":718580,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194138,"text":"70194138 - 2011 - Nutrients and sediment in frozen-ground runoff from no-till fields receiving liquid-dairy and solid-beef manures","interactions":[],"lastModifiedDate":"2017-11-16T16:31:13","indexId":"70194138","displayToPublicDate":"2011-10-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2456,"text":"Journal of Soil and Water Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Nutrients and sediment in frozen-ground runoff from no-till fields receiving liquid-dairy and solid-beef manures","docAbstract":"<p><span>Nutrients and sediment in surface runoff from frozen agricultural fields were monitored within three small (16.0 ha [39.5 ac] or less), adjacent basins at a no-till farm in southwest Wisconsin during four winters from 2003 to 2004 through 2006 to 2007. Runoff depths and flow-weighted constituent concentrations were compared to determine the impacts of surface-applied liquid-dairy or solid-beef manure to frozen and/or snow-covered ground. Despite varying the manure type and the rate and timing of applications, runoff depths were not significantly different among basins within each winter period. Sediment losses were low (generally less than 22 kg ha</span><sup>−1</sup><span><span>&nbsp;</span>[20 lb ac</span><sup>−1</sup><span>] in any year) and any statistical differences in sediment concentrations among basins were not related to the presence or absence of manure or the amount of runoff. Concentrations and losses of total nitrogen and total phosphorus were significantly increased in basins that had either manure type applied less than one week preceding runoff. These increases occurred despite relatively low application rates. Lower concentrations and losses were measured in basins that had manure applied in fall and early winter and an extended period of time (months) had elapsed before the first runoff event. The highest mean, flow-weighted concentrations of total nitrogen (31.8 mg L</span><sup>−1</sup><span>) and total phosphorus (10.9 mg L</span><sup>−1</sup><span>) occurred in winter 2003 to 2004, when liquid-dairy manure was applied less than one week before runoff. On average, dissolved phosphorus accounted for over 80% of all phosphorus measured in runoff during frozen-ground periods. The data collected as part of this study add to the limited information on the quantity and quality of frozen-ground runoff at field edges, and the results highlight the importance of manure management decisions during frozen-ground periods to minimize nutrients lost in surface runoff.</span></p>","language":"English","publisher":"Soil and Water Conservation Society","doi":"10.2489/jswc.66.5.303","usgsCitation":"Komiskey, M.J., Stuntebeck, T.D., Frame, D.R., and Madison, F.W., 2011, Nutrients and sediment in frozen-ground runoff from no-till fields receiving liquid-dairy and solid-beef manures: Journal of Soil and Water Conservation, v. 66, no. 5, p. 303-312, https://doi.org/10.2489/jswc.66.5.303.","productDescription":"10 p.","startPage":"303","endPage":"312","ipdsId":"IP-017950","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":474916,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2489/jswc.66.5.303","text":"Publisher Index Page"},{"id":349026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.2889,\n              42.6458\n            ],\n            [\n              -90.2833,\n              42.6458\n            ],\n            [\n              -90.2833,\n              42.6542\n            ],\n            [\n              -90.2889,\n              42.6542\n            ],\n            [\n              -90.2889,\n              42.6458\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"66","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2011-09-13","publicationStatus":"PW","scienceBaseUri":"5a6107bce4b06e28e9c255f5","contributors":{"authors":[{"text":"Komiskey, Matthew J. 0000-0003-2962-6974 mjkomisk@usgs.gov","orcid":"https://orcid.org/0000-0003-2962-6974","contributorId":1776,"corporation":false,"usgs":true,"family":"Komiskey","given":"Matthew","email":"mjkomisk@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":722320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stuntebeck, Todd D. 0000-0002-8405-7295 tdstunte@usgs.gov","orcid":"https://orcid.org/0000-0002-8405-7295","contributorId":902,"corporation":false,"usgs":true,"family":"Stuntebeck","given":"Todd","email":"tdstunte@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":722321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frame, Dennis R.","contributorId":77282,"corporation":false,"usgs":true,"family":"Frame","given":"Dennis","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":722322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Madison, Fred W.","contributorId":151052,"corporation":false,"usgs":false,"family":"Madison","given":"Fred","email":"","middleInitial":"W.","affiliations":[{"id":18172,"text":"UW-Madison Dept. of Soil Science, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":722323,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005669,"text":"ofr20111269 - 2011 - DS-Software for analyzing data collected using double sampling","interactions":[],"lastModifiedDate":"2019-09-24T08:58:05","indexId":"ofr20111269","displayToPublicDate":"2011-10-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1269","title":"DS-Software for analyzing data collected using double sampling","docAbstract":"<p>DS analyzes count data to estimate density or relative density and population size when appropriate. The software is no longer available. The software was designed to analyze data collected using double sampling, but it also can be used to analyze index data. DS is not currently configured to apply distance methods or methods based on capture-recapture theory. Double sampling for the purpose of this report means surveying a sample of locations with a rapid method of unknown accuracy and surveying a subset of these locations using a more intensive method assumed to yield unbiased estimates. \"Detection ratios\" are calculated as the ratio of results from rapid surveys on intensive plots to the number actually present as determined from the intensive surveys. The detection ratios are used to adjust results from the rapid surveys. The formula for density is (results from rapid survey)/(estimated detection ratio from intensive surveys). Population sizes are estimated as (density)(area). Double sampling is well-established in the survey sampling literature—see Cochran (1977) for the basic theory, Smith (1995) for applications of double sampling in waterfowl surveys, Bart and Earnst (2002, 2005) for discussions of its use in wildlife studies, and Bart and others (in press) for a detailed account of how the method was used to survey shorebirds across the arctic region of North America. Indices are surveys that do not involve complete counts of well-defined plots or recording information to estimate detection rates (Thompson and others, 1998). In most cases, such data should not be used to estimate density or population size but, under some circumstances, may be used to compare two densities or estimate how density changes through time or across space (Williams and others, 2005). The Breeding Bird Survey (Sauer and others, 2008) provides a good example of an index survey. Surveyors record all birds detected but do not record any information, such as distance or whether each bird is recorded in subperiods, that could be used to estimate detection rates. Nonetheless, the data are widely used to estimate temporal trends and spatial patterns in abundance (Sauer and others, 2008). DS produces estimates of density (or relative density for indices) by species and stratum. Strata are usually defined using region and habitat but other variables may be used, and the entire study area may be classified as a single stratum. Population size in each stratum and for the entire study area also is estimated for each species. For indices, the estimated totals generally are only useful if (a) plots are surveyed so that densities can be calculated and extrapolated to the entire study area and (b) if the detection rates are close to 1.0. All estimates are accompanied by standard errors (SE) and coefficients of variation (CV, that is, SE/estimate).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111269","usgsCitation":"Bart, J., and Hartley, D., 2011, DS-Software for analyzing data collected using double sampling: U.S. Geological Survey Open-File Report 2011-1269, iv, 22 p., https://doi.org/10.3133/ofr20111269.","productDescription":"iv, 22 p.","additionalOnlineFiles":"N","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":116546,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1269.png"},{"id":94265,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1269/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67bc69","contributors":{"authors":[{"text":"Bart, Jonathan jon_bart@usgs.gov","contributorId":57025,"corporation":false,"usgs":true,"family":"Bart","given":"Jonathan","email":"jon_bart@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":false,"id":353041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartley, Dana","contributorId":100520,"corporation":false,"usgs":true,"family":"Hartley","given":"Dana","email":"","affiliations":[],"preferred":false,"id":353042,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70190437,"text":"70190437 - 2011 - Holocene and late glacial palaeoceanography and palaeolimnology of the Black Sea: Changing sediment provenance and basin hydrography over the past 20,000 years","interactions":[],"lastModifiedDate":"2017-08-31T11:19:03","indexId":"70190437","displayToPublicDate":"2011-10-01T00:00:00","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":"Holocene and late glacial palaeoceanography and palaeolimnology of the Black Sea: Changing sediment provenance and basin hydrography over the past 20,000 years","docAbstract":"<p id=\"sp005\">The elemental geochemistry of Late Pleistocene and Holocene sediments of the Black Sea, recovered in box cores from the basin margins and a 5-m gravity core from the central abyssal region of the basin, identifies two terrigenous sediment sources over the last 20&nbsp;kyrs. One source region includes Anatolia and the southern Caucasus; the second region is the area drained by rivers entering the Black Sea from Eastern Europe. Alkali metal:Al and heavy:light rare-earth element ratios reveal that the relative contribution of the two sources shifted abruptly every few thousand years during the late glacial and early Holocene lacustrine phase of the basin. The shifts in source were coeval with changes in the lake level as determined from the distribution of quartz and the heavy mineral-hosted trace elements Ti and Zr.</p><p id=\"sp010\">The geochemistry of the abyssal sediments further recorded a sequence of changes to the geochemistry of the water column following the lacustrine phase, when high salinity Mediterranean water entered the basin beginning 9.3&nbsp;kyrs BP. Bottom water that had been oxic throughout the lake phase became anoxic at approximately 8.4&nbsp;kyrs BP, as recorded by the accumulation from the water column of several redox-sensitive trace metals (Mo, Re, U). The accumulation of organic carbon and several trace nutrients (Cd, Cu, Ni, Zn) increased sharply ca. 0.4&nbsp;kyrs later, at 8.0&nbsp;kyrs BP, reflecting an increase of primary productivity. Its increase was coeval with a shift in the dinoflagellate ecology from stenohaline to euryhaline assemblages. During this profound environmental change from the lacustrine to the marine phase, the accumulation rate of the lithogenous sediment fraction decreased as much as 10-fold in response to the rise of the water level in the basin from a low stand ca. 9.3&nbsp;ka to its current level.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2011.07.016","usgsCitation":"Piper, D.Z., and Calvert, S., 2011, Holocene and late glacial palaeoceanography and palaeolimnology of the Black Sea: Changing sediment provenance and basin hydrography over the past 20,000 years: Geochimica et Cosmochimica Acta, v. 75, no. 19, p. 5597-5624, https://doi.org/10.1016/j.gca.2011.07.016.","productDescription":"28 p.","startPage":"5597","endPage":"5624","ipdsId":"IP-020961","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":345386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Black Sea","volume":"75","issue":"19","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a92041e4b07e1a023ccda9","contributors":{"authors":[{"text":"Piper, David Z. dzpiper@usgs.gov","contributorId":2452,"corporation":false,"usgs":true,"family":"Piper","given":"David","email":"dzpiper@usgs.gov","middleInitial":"Z.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":709147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calvert, S.E.","contributorId":12196,"corporation":false,"usgs":true,"family":"Calvert","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":709148,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70005614,"text":"ofr20111202 - 2011 - Compilation of watershed models for tributaries to the Great Lakes, United States, as of 2010, and identification of watersheds for future modeling for the Great Lakes Restoration Initiative","interactions":[],"lastModifiedDate":"2012-03-08T17:16:41","indexId":"ofr20111202","displayToPublicDate":"2011-09-30T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1202","title":"Compilation of watershed models for tributaries to the Great Lakes, United States, as of 2010, and identification of watersheds for future modeling for the Great Lakes Restoration Initiative","docAbstract":"As part of the Great Lakes Restoration Initiative (GLRI) during 2009&ndash;10, the U.S. Geological Survey (USGS) compiled a list of existing watershed models that had been created for tributaries within the United States that drain to the Great Lakes. Established Federal programs that are overseen by the National Oceanic and Atmospheric Administration (NOAA) and the U.S. Army Corps of Engineers (USACE) are responsible for most of the existing watershed models for specific tributaries. The NOAA Great Lakes Environmental Research Laboratory (GLERL) uses the Large Basin Runoff Model to provide data for the management of water levels in the Great Lakes by estimating United States and Canadian inflows to the Great Lakes from 121 large watersheds. GLERL also simulates streamflows in 34 U.S. watersheds by a grid-based model, the Distributed Large Basin Runoff Model. The NOAA National Weather Service uses the Sacramento Soil Moisture Accounting model to predict flows at river forecast sites. The USACE created or funded the creation of models for at least 30 tributaries to the Great Lakes to better understand sediment erosion, transport, and aggradation processes that affect Federal navigation channels and harbors. Many of the USACE hydrologic models have been coupled with hydrodynamic and sediment-transport models that simulate the processes in the stream and harbor near the mouth of the modeled tributary. Some models either have been applied or have the capability of being applied across the entire Great Lakes Basin; they are (1) the SPAtially Referenced Regressions On Watershed attributes (SPARROW) model, which was developed by the USGS; (2) the High Impact Targeting (HIT) and Digital Watershed models, which were developed by the Institute of Water Research at Michigan State University; (3) the Long-Term Hydrologic Impact Assessment (L&ndash;THIA) model, which was developed by researchers at Purdue University; and (4) the Water Erosion Prediction Project (WEPP) model, which was developed by the National Soil Erosion Research Laboratory of the U.S. Department of Agriculture. During 2010, the USGS used the Precipitation-Runoff Modeling System (PRMS) to create a hydrologic model for the Lake Michigan Basin to assess the probable effects of climate change on future groundwater and surface-water resources. The Water Availability Tool for Environmental Resources (WATER) model and the Analysis of Flows In Networks of CHannels (AFINCH) program also were used to support USGS GLRI projects that required estimates of streamflows throughout the Great Lakes Basin. This information on existing watershed models, along with an assessment of geologic, soils, and land-use data across the Great Lakes Basin and the identification of problems that exist in selected tributary watersheds that could be addressed by a watershed model, was used to identify three watersheds in the Great Lakes Basin for future modeling by the USGS. These watersheds are the Kalamazoo River Basin in Michigan, the Tonawanda Creek Basin in New York, and the Bad River Basin in Wisconsin. These candidate watersheds have hydrogeologic, land-type, and soil characteristics that make them distinct from each other, but that are representative of other tributary watersheds within the Great Lakes Basin. These similarities in the characteristics among nearby watersheds will enhance the usefulness of a model by improving the likelihood that parameter values from a previously modeled watershed could reliably be used in the creation of a model of another watershed in the same region. The software program Hydrological Simulation Program&ndash;Fortran (HSPF) was selected to simulate the hydrologic, sedimentary, and water-quality processes in these selected watersheds. HSPF is a versatile, process-based, continuous-simulation model that has been used extensively by the scientific community, has the ongoing technical support of the U.S. Environmental Protection Agency and USGS, and provides a means to evaluate the effects that land-use changes or management practices might have on the simulated processes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111202","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Coon, W.F., Murphy, E., Soong, D., and Sharpe, J.B., 2011, Compilation of watershed models for tributaries to the Great Lakes, United States, as of 2010, and identification of watersheds for future modeling for the Great Lakes Restoration Initiative: U.S. Geological Survey Open-File Report 2011-1202, vi, 23 p., https://doi.org/10.3133/ofr20111202.","productDescription":"vi, 23 p.","numberOfPages":"29","temporalStart":"2009-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":116579,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1202.gif"},{"id":94254,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1202/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Great Lakes Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94,40 ], [ -94,49 ], [ -73,49 ], [ -73,40 ], [ -94,40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1de4b07f02db6a9955","contributors":{"authors":[{"text":"Coon, William F. 0000-0002-7007-7797 wcoon@usgs.gov","orcid":"https://orcid.org/0000-0002-7007-7797","contributorId":1765,"corporation":false,"usgs":true,"family":"Coon","given":"William","email":"wcoon@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":352969,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Elizabeth A.","contributorId":69660,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":352971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soong, David T.","contributorId":87487,"corporation":false,"usgs":true,"family":"Soong","given":"David T.","affiliations":[],"preferred":false,"id":352972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sharpe, Jennifer B. 0000-0002-5192-7848 jbsharpe@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-7848","contributorId":2825,"corporation":false,"usgs":true,"family":"Sharpe","given":"Jennifer","email":"jbsharpe@usgs.gov","middleInitial":"B.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":352970,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005654,"text":"ds595 - 2011 - Geophysical, geochemical, mineralogical, and enivronmental data for rock samples collected in a mineralized volcanic environment, upper Animas River watershed, Colorado","interactions":[],"lastModifiedDate":"2012-02-10T00:12:00","indexId":"ds595","displayToPublicDate":"2011-09-30T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"595","title":"Geophysical, geochemical, mineralogical, and enivronmental data for rock samples collected in a mineralized volcanic environment, upper Animas River watershed, Colorado","docAbstract":"This report provides analyses of 90 rock samples collected in the upper Animas River watershed near Silverton, Colo., from 2001 to 2007. The samples are analyzed for geophysical, geochemical, mineralogical, and environmental rock properties of acid neutralizing capacity and net acid production. The database is derived from both published (n=68) and unpublished (n=32) data. New for all samples are geophysical measurements of electrical resistivity, density, and porosity. Rock samples were acquired from 12 geologic units that include key Tertiary volcanic and plutonic lithologies, all with varying degrees of alteration.\nThe purpose of this study is to\n* provide a comprehensive and complete record of U.S. Geological Survey rock samples collected and similarly analyzed in the upper Animas River watershed for various physical, chemical, and geoenvironmental properties;\n* provide measurements of geophysical rock properties of lithologic units to establish ground truth with respect to watershed-scale airborne magnetic and electrical survey data;\n* use the data to interpret the airborne geophysical anomalies to characterize rocks in terms of acid neutralizing capacity or net acid production; and\n* provide measurements to study the geochemical, mineralogical, and geophysical characteristics of rocks having weak to extreme degrees of alteration and to develop an understanding of how these characteristics change with alteration type.  Data are provided in two digital formats: an Arc/Info geodatabase and a Microsoft Excel spreadsheet.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds595","usgsCitation":"McCafferty, A.E., Horton, R.J., Stanton, M., McDougal, R., and Fey, D., 2011, Geophysical, geochemical, mineralogical, and enivronmental data for rock samples collected in a mineralized volcanic environment, upper Animas River watershed, Colorado: U.S. Geological Survey Data Series 595, iv, 13 p.; Relational Geodatabase; Data Tables; Metadata, https://doi.org/10.3133/ds595.","productDescription":"iv, 13 p.; Relational Geodatabase; Data Tables; Metadata","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":116584,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_595.png"},{"id":94263,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/595/","linkFileType":{"id":5,"text":"html"}}],"state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.83333333333333,37.75 ], [ -107.83333333333333,38 ], [ -107.5,38 ], [ -107.5,37.75 ], [ -107.83333333333333,37.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b4709","contributors":{"authors":[{"text":"McCafferty, A. E.","contributorId":93499,"corporation":false,"usgs":true,"family":"McCafferty","given":"A.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":353027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horton, R. J.","contributorId":19926,"corporation":false,"usgs":true,"family":"Horton","given":"R.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":353024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanton, M.R.","contributorId":103684,"corporation":false,"usgs":true,"family":"Stanton","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":353028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDougal, R.R.","contributorId":32268,"corporation":false,"usgs":true,"family":"McDougal","given":"R.R.","email":"","affiliations":[],"preferred":false,"id":353025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fey, D.L.","contributorId":44537,"corporation":false,"usgs":true,"family":"Fey","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":353026,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70005646,"text":"ds600 - 2011 - Occurrence of pesticides in surface water and sediments from three central California coastal watersheds, 2008-2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"ds600","displayToPublicDate":"2011-09-30T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"600","title":"Occurrence of pesticides in surface water and sediments from three central California coastal watersheds, 2008-2009","docAbstract":"Water and sediment (bed and suspended) were collected from January 2008 through October 2009 from 12 sites in 3 of the largest watersheds along California's Central Coast (Pajaro, Salinas, and Santa Maria Rivers) and analyzed for a suite of pesticides by the U.S. Geological Survey. Water samples were collected in each watershed from the estuaries and major tributaries during 4 storm events and 11 dry season sampling events in 2008 and 2009. Bed sediments were collected from depositional zones at the tributary sampling sites three times over the course of the study. Suspended sediment samples were collected from the major tributaries during the four storm events and in the tributaries and estuaries during three dry season sampling events in 2009.  Water samples were analyzed for 68 pesticides using gas chromatography/mass spectrometry. A total of 38 pesticides were detected in 144 water samples, and 13 pesticides were detected in more than half the samples collected over the course of the study. Dissolved pesticide concentrations ranged from below their method detection limits to 36,000 nanograms per liter (boscalid). The most frequently detected pesticides in water from all the watersheds were azoxystrobin, boscalid, chlorpyrifos, DCPA, diazinon, oxyfluorfen, prometryn, and propyzamide, which were found in more than 80 percent of the samples. On average, detection frequencies and concentrations were higher in samples collected during winter storm events compared to the summer dry season. With the exception of the fungicide, myclobutanil, the Santa Maria estuary watershed exhibited higher pesticide detection frequencies than the Pajaro and Salinas watersheds.  Bed and suspended sediment samples were analyzed for 55 pesticides using accelerated solvent extraction, gel permeation chromatography for sulfur removal, and carbon/alumina stacked solid-phase extraction cartridges to remove interfering sediment matrices. In bed sediment samples, 17 pesticides were detected including pyrethroid and organophosphate (OP) insecticides, p,p'-DDT and its degradates, as well as several herbicides. The only pesticides detected more than half the time were p,p'-DDD, p,p'-DDE, and p,p'-DDT. Maximum pesticide concentrations ranged from less than their respective method detection limits to 234 micrograms per kilogram (p,p'-DDE). Four pyrethroids (bifenthrin, &# 955;-cyhalothrin, permethrin, and &# 964;-fluvalinate) were detected in bed sediment samples, though concentrations were relatively low (less than 10 microgram per kilogram). The greatest number of pesticides were detected in samples collected from Lower Orcutt Creek, the major tributary to the Santa Maria estuary. In suspended sediment samples, 19 pesticides were detected, and maximum concentrations ranged from less than the method detection limits to 549 micrograms per kilogram (chlorpyrifos). The most frequently detected pesticides were p,p'-DDE (49 percent), p,p'-DDT (38 percent), and chlorpyrifos (32 percent). During storm events, 19 pesticides were detected in suspended sediment samples compared to 10 detected during the dry season. Pesticide concentrations commonly were higher in suspended sediments during storm events than during the dry season, as well.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds600","collaboration":"In cooperation with the California State Water Resources Control Board","usgsCitation":"Smalling, K., and Orlando, J., 2011, Occurrence of pesticides in surface water and sediments from three central California coastal watersheds, 2008-2009: U.S. Geological Survey Data Series 600, x, 70 p., https://doi.org/10.3133/ds600.","productDescription":"x, 70 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":116583,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_600.jpg"},{"id":94262,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/600/","linkFileType":{"id":5,"text":"html"}}],"state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.5,34 ], [ -122.5,37.5 ], [ -121,37.5 ], [ -121,34 ], [ -122.5,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db629b32","contributors":{"authors":[{"text":"Smalling, Kelly L.","contributorId":16105,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[],"preferred":false,"id":352987,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orlando, James L. 0000-0002-0099-7221","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":95954,"corporation":false,"usgs":true,"family":"Orlando","given":"James L.","affiliations":[],"preferred":false,"id":352988,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005629,"text":"ofr20111213 - 2011 - MODFLOW-CDSS, a version of MODFLOW-2005 with modifications for Colorado Decision Support Systems","interactions":[],"lastModifiedDate":"2012-03-02T17:16:08","indexId":"ofr20111213","displayToPublicDate":"2011-09-30T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1213","title":"MODFLOW-CDSS, a version of MODFLOW-2005 with modifications for Colorado Decision Support Systems","docAbstract":"MODFLOW-CDSS is a three-dimensional, finite-difference groundwater-flow model based on MODFLOW-2005, with two modifications. The first modification is the introduction of a Partition Stress Boundaries capability, which enables the user to partition a selected subset of MODFLOW's stress-boundary packages, with each partition defined by a separate input file. Volumetric water-budget components of each partition are tracked and listed separately in the volumetric water-budget tables.  The second modification enables the user to specify that execution of a simulation should continue despite failure of the solver to satisfy convergence criteria. This modification is particularly intended to be used in conjunction with automated model-analysis software; its use is not recommended for other purposes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111213","collaboration":"Prepared in cooperation with the Colorado Water Conservation Board","usgsCitation":"Banta, E., 2011, MODFLOW-CDSS, a version of MODFLOW-2005 with modifications for Colorado Decision Support Systems: U.S. Geological Survey Open-File Report 2011-1213, v, 19 p., https://doi.org/10.3133/ofr20111213.","productDescription":"v, 19 p.","onlineOnly":"Y","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":116582,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1213.gif"},{"id":94259,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1213/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db648d37","contributors":{"authors":[{"text":"Banta, Edward R.","contributorId":49820,"corporation":false,"usgs":true,"family":"Banta","given":"Edward R.","affiliations":[],"preferred":false,"id":352981,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}