{"pageNumber":"498","pageRowStart":"12425","pageSize":"25","recordCount":68899,"records":[{"id":70136073,"text":"70136073 - 2015 - A multi-proxy record of hydroclimate, vegetation, fire, and post-settlement impacts for a subalpine plateau, Central Rocky Mountains U.S.A","interactions":[],"lastModifiedDate":"2016-07-08T11:48:00","indexId":"70136073","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3562,"text":"The Holocene","active":true,"publicationSubtype":{"id":10}},"title":"A multi-proxy record of hydroclimate, vegetation, fire, and post-settlement impacts for a subalpine plateau, Central Rocky Mountains U.S.A","docAbstract":"

Apparent changes in vegetation distribution, fire, and other disturbance regimes throughout western North America have prompted investigations of the relative importance of human activities and climate change as potential causal mechanisms. Assessing the effects of Euro-American settlement is difficult because climate changes occur on multi-decadal to centennial time scales and require longer time perspectives than historic observations can provide. Here, we report vegetation and environmental changes over the past ~13,000 years as recorded in a sediment record from Bison Lake, a subalpine lake on a high plateau in northwestern Colorado. Results are based on multiple independent proxies, which include pollen, charcoal, and elemental geochemistry, and are compared with previously reported interpretations of hydroclimatic changes from oxygen isotope ratios. The pollen data indicate a slowly changing vegetation sequence from sagebrush steppe during the late glacial to coniferous forest through the late Holocene. The most dramatic vegetation changes of the Holocene occurred during the ‘Medieval Climate Anomaly’ (MCA) and ‘Little Ice Age’ (LIA) with rapid replacement of conifer forest by grassland followed by an equally rapid return to conifer forest. Late Holocene vegetation responses are mirrored by changes in fire, lake biological productivity, and watershed erosion. These combined records indicate that subsequent disturbance related to Euro-American settlement, although perhaps significant, had acted upon a landscape that was already responding to MCA-LIA hydroclimatic change. Results document both rapid and long-term subalpine grassland ecosystem dynamics driven by agents of change that can be anticipated in the future and simulated by ecosystem models.

","language":"English","publisher":"Sage Journals","doi":"10.1177/0959683615574583","usgsCitation":"Anderson, L., Brunelle, A., and Thompson, R.S., 2015, A multi-proxy record of hydroclimate, vegetation, fire, and post-settlement impacts for a subalpine plateau, Central Rocky Mountains U.S.A: The Holocene, v. 25, no. 6, p. 932-943, https://doi.org/10.1177/0959683615574583.","productDescription":"12 p.","startPage":"932","endPage":"943","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058200","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":324911,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Rocky Mountains","volume":"25","issue":"6","noUsgsAuthors":false,"publicationDate":"2015-03-16","publicationStatus":"PW","scienceBaseUri":"5780ceaee4b0811616822299","contributors":{"authors":[{"text":"Anderson, Lesleigh 0000-0002-5264-089X land@usgs.gov","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":436,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","email":"land@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":537111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brunelle, Andrea","contributorId":131053,"corporation":false,"usgs":false,"family":"Brunelle","given":"Andrea","email":"","affiliations":[{"id":7215,"text":"University of Utah Dept. of Geography","active":true,"usgs":false}],"preferred":false,"id":537112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Robert S. 0000-0001-9287-2954 rthompson@usgs.gov","orcid":"https://orcid.org/0000-0001-9287-2954","contributorId":891,"corporation":false,"usgs":true,"family":"Thompson","given":"Robert","email":"rthompson@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":537113,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159741,"text":"70159741 - 2015 - Climate change projections for lake whitefish (Coregonus clupeaformis) recruitment in the 1836 Treaty Waters of the Upper Great Lakes","interactions":[],"lastModifiedDate":"2018-04-24T13:48:14","indexId":"70159741","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Climate change projections for lake whitefish (Coregonus clupeaformis) recruitment in the 1836 Treaty Waters of the Upper Great Lakes","docAbstract":"

Lake whitefish (Coregonus clupeaformis) is an ecologically, culturally, and economically important species in the Laurentian Great Lakes. Lake whitefish have been a staple food source for thousands of years and, since 1980, have supported the most economically valuable (annual catch value ≈ US$16.6 million) and productive (annual harvest ≈ 7 million kg) commercial fishery in the upper Great Lakes (Lakes Huron, Michigan, and Superior). Climate changes, specifically changes in temperature, wind, and ice cover, are expected to impact the ecology, production dynamics, and value of this fishery because the success of recruitment to the fishery has been linked with these climatic variables. We used linear regression to determine the relationship between fall and spring air temperature indices, fall wind speed, winter ice cover, and lake whitefish recruitment in 13 management units located in the 1836 Treaty Waters of the Upper Great Lakes ceded by the Ottawa and Chippewa nations, a culturally and commercially important region for the lake whitefish fishery. In eight of the 13 management units evaluated, models including one or more climate variables (temperature, wind, ice cover) explained significantly more variation in recruitment than models with only the stock–recruitment relationship, using corrected Akaike's Information Criterion comparisons (ΔAICc > 3). Isolating the climate–recruitment relationship and projecting recruitment with the Coupled Hydrosphere-Atmosphere Research Model (CHARM) indicated the potential for increased lake whitefish recruitment in the majority of the 1836 Treaty Waters management units. These results can inform adaptive management strategies by providing anticipated implications of climate on lake whitefish recruitment.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2015.03.015","usgsCitation":"Lynch, A., Taylor, W., Beard, T., and Lofgren, B.M., 2015, Climate change projections for lake whitefish (Coregonus clupeaformis) recruitment in the 1836 Treaty Waters of the Upper Great Lakes: Journal of Great Lakes Research, v. 41, no. 2, p. 415-422, https://doi.org/10.1016/j.jglr.2015.03.015.","productDescription":"8 p.","startPage":"415","endPage":"422","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058029","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":311552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Huron, Lake Michigan, Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n 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]\n}","volume":"41","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"564f00c0e4b064dd1d095575","contributors":{"authors":[{"text":"Lynch, Abigail J. ajlynch@usgs.gov","contributorId":146923,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail J.","email":"ajlynch@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":580301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, William W.","contributorId":49735,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[],"preferred":false,"id":580302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beard, T. Douglas Jr. 0000-0003-2632-2350 dbeard@usgs.gov","orcid":"https://orcid.org/0000-0003-2632-2350","contributorId":3314,"corporation":false,"usgs":true,"family":"Beard","given":"T. Douglas","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":580300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lofgren, Brent M.","contributorId":139534,"corporation":false,"usgs":false,"family":"Lofgren","given":"Brent","email":"","middleInitial":"M.","affiliations":[{"id":12789,"text":"NOAA Great Lakes Environmental Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":580303,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70182182,"text":"70182182 - 2015 - Aspect-dependent soil saturation and insight into debris-flow initiation during extreme rainfall in the Colorado Front Range","interactions":[],"lastModifiedDate":"2017-02-20T11:35:54","indexId":"70182182","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Aspect-dependent soil saturation and insight into debris-flow initiation during extreme rainfall in the Colorado Front Range","docAbstract":"

Hydrologic processes during extreme rainfall events are poorly characterized because of the rarity of measurements. Improved understanding of hydrologic controls on natural hazards is needed because of the potential for substantial risk during extreme precipitation events. We present field measurements of the degree of soil saturation and estimates of available soil-water storage during the September 2013 Colorado extreme rainfall event at burned (wildfire in 2010) and unburned hillslopes with north- and south-facing slope aspects. Soil saturation was more strongly correlated with slope aspect than with recent fire history; south-facing hillslopes became fully saturated while north-facing hillslopes did not. Our results suggest multiple explanations for why aspect-dependent hydrologic controls favor saturation development on south-facing slopes, causing reductions in effective stress and triggering of slope failures during extreme rainfall. Aspect-dependent hydrologic behavior may result from (1) a larger gravel and stone fraction, and hence lower soil-water storage capacity, on south-facing slopes, and (2) lower weathered-bedrock permeability on south-facing slopes, because of lower tree density and associated deep roots penetrating bedrock as well as less intense weathering, inhibiting soil drainage.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/G36741.1","usgsCitation":"Ebel, B.A., Rengers, F., and Tucker, G.E., 2015, Aspect-dependent soil saturation and insight into debris-flow initiation during extreme rainfall in the Colorado Front Range: Geology, v. 43, no. 8, p. 659-662, https://doi.org/10.1130/G36741.1.","productDescription":"4 p.","startPage":"659","endPage":"662","ipdsId":"IP-065569","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":335827,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-23","publicationStatus":"PW","scienceBaseUri":"58ac0e2fe4b0ce4410e7d5fc","contributors":{"authors":[{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":669910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengers, Francis K.","contributorId":181893,"corporation":false,"usgs":false,"family":"Rengers","given":"Francis K.","affiliations":[],"preferred":false,"id":669911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tucker, Gregory E.","contributorId":177811,"corporation":false,"usgs":false,"family":"Tucker","given":"Gregory","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":669912,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70154825,"text":"70154825 - 2015 - Getting ocean acidification on decision makers' to-do lists: dissecting the process through case studies","interactions":[],"lastModifiedDate":"2015-07-08T13:08:06","indexId":"70154825","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2929,"text":"Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Getting ocean acidification on decision makers' to-do lists: dissecting the process through case studies","docAbstract":"

Much of the detailed, incremental knowledge being generated by current scientific research on ocean acidification (OA) does not directly address the needs of decision makers, who are asking broad questions such as: Where will OA harm marine resources next? When will this happen? Who will be affected? And how much will it cost? In this review, we use a series of mainly US-based case studies to explore the needs of local to international-scale groups that are making decisions to address OA concerns. Decisions concerning OA have been made most naturally and easily when information needs were clearly defined and closely aligned with science outputs and initiatives. For decisions requiring more complex information, the process slows dramatically. Decision making about OA is greatly aided (1) when a mixture of specialists participates, including scientists, resource users and managers, and policy and law makers; (2) when goals can be clearly agreed upon at the beginning of the process; (3) when mixed groups of specialists plan and create translational documents explaining the likely outcomes of policy decisions on ecosystems and natural resources; (4) when regional work on OA fits into an existing set of priorities concerning climate or water quality; and (5) when decision making can be reviewed and enhanced.

","language":"English","doi":"10.5670/oceanog.2015.42","usgsCitation":"Cooley, S.R., Jewett, E.B., Reichert, J., Robbins, L.L., Shrestha, G., Wieczorek, D., and Weisberg, S., 2015, Getting ocean acidification on decision makers' to-do lists: dissecting the process through case studies: Oceanography, no. 2, p. 198-211, https://doi.org/10.5670/oceanog.2015.42.","productDescription":"14 p.","startPage":"198","endPage":"211","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060284","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5670/oceanog.2015.42","text":"Publisher Index Page"},{"id":305615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"2","edition":"28","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"559e49abe4b0b94a64018f65","contributors":{"authors":[{"text":"Cooley, Sarah R.","contributorId":145518,"corporation":false,"usgs":false,"family":"Cooley","given":"Sarah","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":564478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jewett, Elizabeth B.","contributorId":145519,"corporation":false,"usgs":false,"family":"Jewett","given":"Elizabeth","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":564479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reichert, Julie","contributorId":145520,"corporation":false,"usgs":false,"family":"Reichert","given":"Julie","affiliations":[],"preferred":false,"id":564480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":564239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shrestha, Gyami","contributorId":145521,"corporation":false,"usgs":false,"family":"Shrestha","given":"Gyami","email":"","affiliations":[],"preferred":false,"id":564481,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wieczorek, Dan","contributorId":42022,"corporation":false,"usgs":false,"family":"Wieczorek","given":"Dan","email":"","affiliations":[],"preferred":false,"id":564482,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Weisberg, Stephen B.","contributorId":11110,"corporation":false,"usgs":true,"family":"Weisberg","given":"Stephen B.","affiliations":[],"preferred":false,"id":564483,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70154991,"text":"70154991 - 2015 - Using occupancy models to accommodate uncertainty in the interpretation of aerial photograph data: status of beaver in Central Oregon, USA","interactions":[],"lastModifiedDate":"2017-11-27T09:31:31","indexId":"70154991","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Using occupancy models to accommodate uncertainty in the interpretation of aerial photograph data: status of beaver in Central Oregon, USA","docAbstract":"

Beavers (Castor canadensis) influence habitat for many species and pose challenges in developed landscapes. They are increasingly viewed as a cost-efficient means of riparian habitat restoration and water storage. Still, information on their status is rare, particularly in western North America. We used aerial photography to evaluate changes in beaver occupancy between 1942–1968 and 2009 in upper portions of 2 large watersheds in Oregon, USA. We used multiple observers and occupancy modeling to account for bias related to photo quality, observers, and imperfect detection of beaver impoundments. Our analysis suggested a slightly higher rate of beaver occupancy in the upper Deschutes than the upper Klamath basin. We found weak evidence for beaver increases in the west and declines in eastern parts of the study area. Our study presents a method for dealing with observer variation in photo interpretation and provides the first assessment of the extent of beaver influence in 2 basins with major water-use challenges. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.

","language":"English","publisher":"Wiley","doi":"10.1002/wsb.516","collaboration":".","usgsCitation":"Pearl, C., Adams, M.J., Haggerty, P.K., and Urban, L., 2015, Using occupancy models to accommodate uncertainty in the interpretation of aerial photograph data: status of beaver in Central Oregon, USA: Wildlife Society Bulletin, v. 2, no. 39, p. 319-325, https://doi.org/10.1002/wsb.516.","productDescription":"7 p.","startPage":"319","endPage":"325","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053900","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":499897,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/b5cc777d8806418c908f6525f1ad87fc","text":"External Repository"},{"id":305902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Deschutes basin; Klamath basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.54150390625,\n 42.00848901572399\n ],\n [\n -122.54150390625,\n 44.512176171071054\n ],\n [\n -121.13525390625,\n 44.512176171071054\n ],\n [\n -121.13525390625,\n 42.00848901572399\n ],\n [\n -122.54150390625,\n 42.00848901572399\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","issue":"39","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-27","publicationStatus":"PW","scienceBaseUri":"55b0beafe4b09a3b01b530a9","chorus":{"doi":"10.1002/wsb.516","url":"http://dx.doi.org/10.1002/wsb.516","publisher":"Wiley-Blackwell","authors":"Pearl Christopher A., Adams Michael J., Haggerty Patricia K., Urban Leslie","journalName":"Wildlife Society Bulletin","publicationDate":"2/27/2015","auditedOn":"3/2/2015"},"contributors":{"authors":[{"text":"Pearl, Christopher A. christopher_pearl@usgs.gov","contributorId":145515,"corporation":false,"usgs":true,"family":"Pearl","given":"Christopher A.","email":"christopher_pearl@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":564472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":564473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haggerty, Patricia K. phaggerty@usgs.gov","contributorId":4602,"corporation":false,"usgs":true,"family":"Haggerty","given":"Patricia","email":"phaggerty@usgs.gov","middleInitial":"K.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":564474,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Urban, Leslie","contributorId":145516,"corporation":false,"usgs":false,"family":"Urban","given":"Leslie","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":564475,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70155075,"text":"70155075 - 2015 - Effects of the light goose conservation order on non-target waterfowl distribution during spring migration","interactions":[],"lastModifiedDate":"2015-08-18T15:31:40","indexId":"70155075","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of the light goose conservation order on non-target waterfowl distribution during spring migration","docAbstract":"

The Light Goose Conservation Order (LGCO) was initiated in 1999 to reduce mid-continent populations of light geese (lesser snow geese Chen caerulescens and Ross's geese C. rossi). However, concern about potential for LGCO activities (i.e. hunting activities) to negatively impact non-target waterfowl species during spring migration in the Rainwater Basin (RWB) of Nebraska prompted agency personnel to limit the number of hunt days each week and close multiple public wetlands to LGCO activities entirely. To evaluate the effects of the LGCO in the RWB, we quantified waterfowl density at wetlands open and closed to LGCO hunting and recorded all hunter encounters during springs 2011 and 2012. We encountered a total of 70 hunting parties on 22 study wetlands, with over 90% of these encounters occurring during early season when the majority of waterfowl used the RWB region. We detected greater overall densities of dabbling ducks Anas spp., as well as for mallards A. platyrhynchos and northern pintails A. acuta on wetlands closed to the LGCO. We detected no effects of hunt day in the analyses of dabbling duck densities. We detected no differences in mean weekly dabbling duck densities among wetlands open to hunting, regardless of weekly or cumulative hunting encounter frequency throughout early season. Additionally, hunting category was not a predictor for the presence of greater white-fronted geese Anser albifronsin a logistic regression model. Given that dabbling duck densities were greater on wetlands closed to hunting, providing wetlands free from hunting disturbance as refugia during the LGCO remains an important management strategy at migration stopover sites. However, given that we did not detect an effect of hunt day or hunting frequency on dabbling duck density, our results suggest increased hunting frequency at sites already open to hunting would likely have minimal impacts on the distribution of non-target waterfowl species using the region for spring staging.

","language":"English","publisher":"Nordic Board for Wildlife Research","publisherLocation":"Lund, Sweden","doi":"10.2981/wlb.00063","usgsCitation":"Dinges, A.J., Webb, E.B., and Vrtiska, M.P., 2015, Effects of the light goose conservation order on non-target waterfowl distribution during spring migration: Wildlife Biology, v. 21, no. 2, p. 88-97, https://doi.org/10.2981/wlb.00063.","productDescription":"10 p.","startPage":"88","endPage":"97","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2011-01-01","temporalEnd":"2012-03-31","ipdsId":"IP-053124","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":472063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/wlb.00063","text":"Publisher Index Page"},{"id":306891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Rainwater Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.910400390625,\n 41.47977575214487\n ],\n [\n -96.9158935546875,\n 40.006579667838636\n ],\n [\n -100.5743408203125,\n 40.006579667838636\n ],\n [\n -100.535888671875,\n 41.054501963290505\n ],\n [\n -99.7064208984375,\n 40.6723059714534\n ],\n [\n -98.953857421875,\n 40.622291783092706\n ],\n [\n -98.470458984375,\n 40.751418432997454\n ],\n [\n -98.6572265625,\n 40.971603532799115\n ],\n [\n -98.316650390625,\n 41.14970617453726\n ],\n [\n -98.0255126953125,\n 40.9840449469281\n ],\n [\n -97.66845703124999,\n 41.25716209782705\n ],\n [\n -97.31689453125,\n 41.35619553438905\n ],\n [\n -96.910400390625,\n 41.47977575214487\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d45730e4b0518e354694be","contributors":{"authors":[{"text":"Dinges, Andrew J.","contributorId":145935,"corporation":false,"usgs":false,"family":"Dinges","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":566709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":564769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vrtiska, Mark P.","contributorId":54008,"corporation":false,"usgs":true,"family":"Vrtiska","given":"Mark","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":566710,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70156306,"text":"70156306 - 2015 - Plant-plant interactions in a subtropical mangrove-to-marsh transition zone: effects of environmental drivers","interactions":[],"lastModifiedDate":"2015-10-19T12:17:40","indexId":"70156306","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2490,"text":"Journal of Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Plant-plant interactions in a subtropical mangrove-to-marsh transition zone: effects of environmental drivers","docAbstract":"
\n

Questions

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\n

Does the presence of herbaceous vegetation affect the establishment success of mangrove tree species in the transition zone between subtropical coastal mangrove forests and marshes? How do plant–plant interactions in this transition zone respond to variation in two primary coastal environmental drivers?

\n
\n
\n
\n

Location

\n
\n

Subtropical coastal region of the southern United States.

\n
\n
\n
\n

Methods

\n
\n

We conducted a greenhouse study to better understand how abiotic factors affect plant species interactions in the mangrove-to-marsh transition zone, or ecotone. We manipulated salinity (fresh, brackish or salt water) and hydrologic conditions (continuously saturated or 20-cm tidal range) to simulate ecotonal environments. Propagules of the mangroves Avicennia germinans and Laguncularia racemosa were introduced to mesocosms containing an established marsh community. Both mangrove species were also introduced to containers lacking other vegetation. We monitored mangrove establishment success and survival over 22 mo. Mangrove growth was measured as stem height and above-ground biomass. Stem height, stem density and above-ground biomass of the dominant marsh species were documented.

\n
\n
\n
\n

Results

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\n

Establishment success of A. germinans was reduced under saturated saltwater conditions, but establishment of L. racemosa was not affected by experimental treatments. There was complete mortality of A. germinans in mesocosms under freshwater conditions, and very low survival of L. racemosa. In contrast, survival of both species in monoculture under freshwater conditions exceeded 62%. The marsh species Distichlis spicata and Eleocharis cellulosa suppressed growth of both mangroves throughout the experiment, whereas the mangroves did not affect herbaceous species growth. The magnitude of growth suppression by marsh species varied with environmental conditions; suppression was often higher in saturated compared to tidal conditions, and higher in fresh and salt water compared to brackish water.

\n
\n
\n
\n

Conclusions

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\n

Our results indicate that herbaceous marsh species can suppress mangrove early seedling growth. Depending on species composition and density, marsh plants can slow mangrove landward migration under predicted climate change scenarios as salinity in freshwater and oligohaline wetlands increases with rising sea levels. Change in the relative coverage of mangrove forests and marshes will depend on both the ability of marsh species to migrate further inland as mangroves advance, and the ability of shoreline mangroves to adjust to rising sea level through accretionary processes.

\n
\n
","language":"English","publisher":"Wiley","doi":"10.1111/jvs.12309","usgsCitation":"Howard, R.J., Krauss, K.W., Cormier, N., Day, R.H., Biagas, J.M., and Allain, L.K., 2015, Plant-plant interactions in a subtropical mangrove-to-marsh transition zone: effects of environmental drivers: Journal of Vegetation Science, v. 26, no. 6, p. 1198-1211, https://doi.org/10.1111/jvs.12309.","productDescription":"14 p.","startPage":"1198","endPage":"1211","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059915","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":306949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"26","issue":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-17","publicationStatus":"PW","scienceBaseUri":"55d5a8b3e4b0518e3546a4d9","contributors":{"authors":[{"text":"Howard, Rebecca J. 0000-0001-7264-4364 howardr@usgs.gov","orcid":"https://orcid.org/0000-0001-7264-4364","contributorId":2429,"corporation":false,"usgs":true,"family":"Howard","given":"Rebecca","email":"howardr@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":568616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":568617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cormier, Nicole 0000-0003-2453-9900 cormiern@usgs.gov","orcid":"https://orcid.org/0000-0003-2453-9900","contributorId":4262,"corporation":false,"usgs":true,"family":"Cormier","given":"Nicole","email":"cormiern@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":568618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":568619,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Biagas, Janelda M. 0000-0001-5548-1970 biagasj@usgs.gov","orcid":"https://orcid.org/0000-0001-5548-1970","contributorId":4613,"corporation":false,"usgs":true,"family":"Biagas","given":"Janelda","email":"biagasj@usgs.gov","middleInitial":"M.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":568620,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allain, Larry K. 0000-0002-7717-9761 allainl@usgs.gov","orcid":"https://orcid.org/0000-0002-7717-9761","contributorId":2414,"corporation":false,"usgs":true,"family":"Allain","given":"Larry","email":"allainl@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":568621,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70155032,"text":"70155032 - 2015 - Demographic and spatiotemporal patterns of avian influenza infection at the continental scale, and in relation to annual life cycle of a migratory host","interactions":[],"lastModifiedDate":"2015-12-11T10:56:58","indexId":"70155032","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Demographic and spatiotemporal patterns of avian influenza infection at the continental scale, and in relation to annual life cycle of a migratory host","docAbstract":"

Since the spread of highly pathogenic avian influenza (HPAI) H5N1 in the eastern hemisphere, numerous surveillance programs and studies have been undertaken to detect the occurrence, distribution, or spread of avian influenza viruses (AIV) in wild bird populations worldwide. To identify demographic determinants and spatiotemporal patterns of AIV infection in long distance migratory waterfowl in North America, we fitted generalized linear models with binominal distribution to analyze results from 13,574 blue-winged teal (Anas discors, BWTE) sampled in 2007 to 2010 year round during AIV surveillance programs in Canada and the United States. Our analyses revealed that during late summer staging (July-August) and fall migration (September-October), hatch year (HY) birds were more likely to be infected than after hatch year (AHY) birds, however there was no difference between age categories for the remainder of the year (winter, spring migration, and breeding period), likely due to maturing immune systems and newly acquired immunity of HY birds. Probability of infection increased non-linearly with latitude, and was highest in late summer prior to fall migration when densities of birds and the proportion of susceptible HY birds in the population are highest. Birds in the Central and Mississippi flyways were more likely to be infected compared to those in the Atlantic flyway. Seasonal cycles and spatial variation of AIV infection were largely driven by the dynamics of AIV infection in HY birds, which had more prominent cycles and spatial variation in infection compared to AHY birds. Our results demonstrate demographic as well as seasonal, latitudinal and flyway trends across Canada and the US, while illustrating the importance of migratory host life cycle and age in driving cyclical patterns of prevalence.

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fingerprinting","interactions":[],"lastModifiedDate":"2017-07-13T13:29:57","indexId":"70189467","displayToPublicDate":"2015-05-30T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Sediment source apportionment in Laurel Hill Creek, PA, using Bayesian chemical mass balance and isotope fingerprinting","docAbstract":"

A Bayesian chemical mass balance (CMB) approach was used to assess the contribution of potential sources for fluvial samples from Laurel Hill Creek in southwest Pennsylvania. The Bayesian approach provides joint probability density functions of the sources' contributions considering the uncertainties due to source and fluvial sample heterogeneity and measurement error. Both elemental profiles of sources and fluvial samples and 13C and 15N isotopes were used for source apportionment. The sources considered include stream bank erosion, forest, roads and agriculture (pasture and cropland). Agriculture was found to have the largest contribution, followed by stream bank erosion. Also, road erosion was found to have a significant contribution in three of the samples collected during lower-intensity rain events. The source apportionment was performed with and without isotopes. The results were largely consistent; however, the use of isotopes was found to slightly increase the uncertainty in most of the cases. The correlation analysis between the contributions of sources shows strong correlations between stream bank and agriculture, whereas roads and forest seem to be less correlated to other sources. Thus, the method was better able to estimate road and forest contributions independently. The hypothesis that the contributions of sources are not seasonally changing was tested by assuming that all ten fluvial samples had the same source contributions. This hypothesis was rejected, demonstrating a significant seasonal variation in the sources of sediments in the stream.

","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10364","usgsCitation":"Stewart, H., Massoudieh, A., and Gellis, A.C., 2015, Sediment source apportionment in Laurel Hill Creek, PA, using Bayesian chemical mass balance and isotope fingerprinting: Hydrological Processes, v. 29, no. 11, p. 2545-2560, https://doi.org/10.1002/hyp.10364.","productDescription":"16 p.","startPage":"2545","endPage":"2560","ipdsId":"IP-060412","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":343802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Laurel Hill Creek","volume":"29","issue":"11","noUsgsAuthors":false,"publicationDate":"2014-12-03","publicationStatus":"PW","scienceBaseUri":"596886a2e4b0d1f9f05f59c1","contributors":{"authors":[{"text":"Stewart, Heather","contributorId":173199,"corporation":false,"usgs":false,"family":"Stewart","given":"Heather","affiliations":[{"id":27188,"text":"Alaska Department of Natural Resources Division of Agriculture","active":true,"usgs":false}],"preferred":false,"id":704793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Massoudieh, Arash","contributorId":194625,"corporation":false,"usgs":false,"family":"Massoudieh","given":"Arash","email":"","affiliations":[],"preferred":false,"id":704794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":172245,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":704795,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70148353,"text":"70148353 - 2015 - Phytoplankton blooms in estuarine and coastal waters: Seasonal patterns and key species","interactions":[],"lastModifiedDate":"2017-10-30T10:02:30","indexId":"70148353","displayToPublicDate":"2015-05-29T09:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Phytoplankton blooms in estuarine and coastal waters: Seasonal patterns and key species","docAbstract":"

Phytoplankton blooms are dynamic phenomena of great importance to the functioning of estuarine and coastal ecosystems. We analysed a unique (large) collection of phytoplankton monitoring data covering 86 coastal sites distributed over eight regions in North America and Europe, with the aim of investigating common patterns in the seasonal timing and species composition of the blooms. The spring bloom was the most common seasonal pattern across all regions, typically occurring early (February–March) at lower latitudes and later (April–May) at higher latitudes. Bloom frequency, defined as the probability of unusually high biomass, ranged from 5 to 35% between sites and followed no consistent patterns across gradients of latitude, temperature, salinity, water depth, stratification, tidal amplitude or nutrient concentrations. Blooms were mostly dominated by a single species, typically diatoms (58% of the blooms) and dinoflagellates (19%). Diatom-dominated spring blooms were a common feature in most systems, although dinoflagellate spring blooms were also observed in the Baltic Sea. Blooms dominated by chlorophytes and cyanobacteria were only common in low salinity waters and occurred mostly at higher temperatures. Key bloom species across the eight regions included the diatoms Cerataulina pelagica and Dactyliosolen fragilissimus and dinoflagellates Heterocapsa triquetra and Prorocentrum cordatum. Other frequent bloom-forming taxa were diatom genera Chaetoceros, Coscinodiscus, Skeletonema, and Thalassiosira. Our meta-analysis shows that these 86 estuarine-coastal sites function as diatom-producing systems, the timing of that production varies widely, and that bloom frequency is not associated with environmental factors measured in monitoring programs. We end with a perspective on the limitations of conclusions derived from meta-analyses of phytoplankton time series, and the grand challenges remaining to understand the wide range of bloom patterns and processes that select species as bloom dominants in coastal waters.

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Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":547810,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70143863,"text":"sir20155040 - 2015 - Continuous monitoring of sediment and nutrients in the Illinois River at Florence, Illinois, 2012-13","interactions":[],"lastModifiedDate":"2015-05-28T17:07:43","indexId":"sir20155040","displayToPublicDate":"2015-05-28T16:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5040","title":"Continuous monitoring of sediment and nutrients in the Illinois River at Florence, Illinois, 2012-13","docAbstract":"

The Illinois River is the largest river in Illinois and is the primary contributing watershed for nitrogen, phosphorus, and suspended-sediment loading to the upper Mississippi River from Illinois. In addition to streamflow, the following water-quality constituents were monitored at the Illinois River at Florence, Illinois (U.S. Geological Survey station number 05586300), during May 2012–October 2013: phosphate, nitrate, turbidity, temperature, specific conductance, pH, and dissolved oxygen. The objectives of this monitoring were to (1) determine performance capabilities of the in-situ instruments; (2) collect continuous data that would provide an improved understanding of constituent characteristics during normal, low-, and high-flow periods and during different climatic and land-use seasons; (3) evaluate the ability to use continuous turbidity as a surrogate constituent to determine suspended-sediment concentrations; and (4) evaluate the ability to develop a regression model for total phosphorus using phosphate, turbidity, and other measured parameters. Reliable data collection was achieved, following some initial periods of instrument and data-communication difficulties. The resulting regression models for suspended sediment had coefficient of determination (R2) values of about 0.9. Nitrate plus nitrite loads computed using continuous data were found to be approximately 8 percent larger than loads computed using traditional discrete-sampling based models. A regression model for total phosphorus was developed by using historic orthophosphate data (important during periods of low flow and low concentrations) and historic suspended-sediment data (important during periods of high flow and higher concentrations). The R2of the total phosphorus regression model using orthophosphorus and suspended sediment was 0.8. Data collection and refinement of the regression models is ongoing.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155040","collaboration":"Prepared in cooperation with the Illinois Environmental Protection Agency","usgsCitation":"Terrio, P.J., Straub, T., Domanski, M.M., and Siudyla, N.A., 2015, Continuous monitoring of sediment and nutrients in the Illinois River at Florence, Illinois, 2012-13: U.S. Geological Survey Scientific Investigations Report 2015-5040, vii, 61 p., https://doi.org/10.3133/sir20155040.","productDescription":"vii, 61 p.","numberOfPages":"74","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2012-05-01","temporalEnd":"2013-10-31","ipdsId":"IP-051216","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":300901,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5040/"},{"id":300902,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5040/pdf/sir2015-5040.pdf","text":"Report","size":"4.56 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":300903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155040.jpg"}],"projection":"Albers Equal-Area Conic projection","country":"United States","state":"Illinois","city":"Florence","otherGeospatial":"Illinois River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.60956954956055,\n 39.636563184336524\n ],\n [\n -90.6097412109375,\n 39.62783759836399\n ],\n [\n -90.60416221618652,\n 39.627903705425176\n ],\n [\n -90.60502052307129,\n 39.63662928306019\n ],\n [\n -90.60956954956055,\n 39.636563184336524\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55682e1ae4b0d9246a9f60de","contributors":{"authors":[{"text":"Terrio, Paul J. 0000-0002-1515-9570 pjterrio@usgs.gov","orcid":"https://orcid.org/0000-0002-1515-9570","contributorId":3313,"corporation":false,"usgs":true,"family":"Terrio","given":"Paul","email":"pjterrio@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Straub, Timothy D. 0000-0002-5896-0851 tdstraub@usgs.gov","orcid":"https://orcid.org/0000-0002-5896-0851","contributorId":2273,"corporation":false,"usgs":true,"family":"Straub","given":"Timothy D.","email":"tdstraub@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":543038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Domanski, Marian M. 0000-0002-0468-314X mdomanski@usgs.gov","orcid":"https://orcid.org/0000-0002-0468-314X","contributorId":5035,"corporation":false,"usgs":true,"family":"Domanski","given":"Marian","email":"mdomanski@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":547816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Siudyla, Nicholas A. nsiudyla@usgs.gov","contributorId":5420,"corporation":false,"usgs":true,"family":"Siudyla","given":"Nicholas","email":"nsiudyla@usgs.gov","middleInitial":"A.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":543039,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70141032,"text":"fs20153001 - 2015 - Water resources of East Baton Rouge Parish, Louisiana","interactions":[],"lastModifiedDate":"2015-05-28T16:18:22","indexId":"fs20153001","displayToPublicDate":"2015-05-28T15:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3001","title":"Water resources of East Baton Rouge Parish, Louisiana","docAbstract":"

Information concerning the availability, use, and quality of water in East Baton Rouge Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System (http://waterdata.usgs.gov/nwis) are the primary sources of the information presented here.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153001","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., and Prakken, L.B., 2015, Water resources of East Baton Rouge Parish, Louisiana: U.S. Geological Survey Fact Sheet 2015-3001, 6 p., https://doi.org/10.3133/fs20153001.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057954","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":300897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153001.jpg"},{"id":300895,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3001/pdf/fs2015_3001.pdf","text":"Report","size":"1.74 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":300896,"type":{"id":15,"text":"Index 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Ellsworth Air Force Base is an Air Combat Command located approximately 10 miles northeast of Rapid City, South Dakota. Ellsworth Air Force Base occupies about 6,000 acres within Meade and Pennington Counties, and includes runways, airfield operations, industrial areas, housing, and recreational facilities. Fuels Area C within Ellsworth Air Force Base is a fuels storage area that is used to support the mission of the base. In fall of 2013, the U.S. Geological Survey began a study in cooperation with the U.S. Air Force, Ellsworth Air Force Base, to estimate groundwater-flow direction, select locations for permanent monitoring wells, and install and sample monitoring wells for petroleum hydrocarbon compounds within Fuels Area C. Nine monitoring wells were installed for the study within Fuels Area C during November 4–7, 2014. Soil core samples were collected during installation of eight of the monitoring wells and analyzed for benzene, toluene, ethylbenzene, total xylenes, naphthalene,m- and p-xylene, o-xylene, and gasoline- and diesel-range organic compounds. Groundwater samples were collected from seven of the nine wells (two of the monitoring wells did not contain enough water to sample or were dry) during November 19–21, 2014, and analyzed for select physical properties, benzene, toluene, ethylbenzene, total xylenes, naphthalene, m- and p-xylene, o-xylene, and gasoline- and diesel-range organic compounds. This report describes the nine monitoring well locations and presents the soil- and groundwater-quality data collected in 2014 for this study.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds939","collaboration":"Prepared in cooperation with U.S. Air Force, Ellsworth Air Force Base","usgsCitation":"Bender, D.A., and Rowe, B.L., 2015, Soil- and groundwater-quality data for petroleum hydrocarbon compounds within Fuels Area C, Ellsworth Air Force Base, South Dakota, 2014: U.S. Geological Survey Data Series 939, vi, 15 p., https://doi.org/10.3133/ds939.","productDescription":"vi, 15 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064094","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":300892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds939.jpg"},{"id":300891,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0939/pdf/ds939.pdf","text":"Report","size":"2.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":300888,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0939/"}],"projection":"Albers Equal Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"South Dakota","otherGeospatial":"Ellsworth Air Force Base","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.08327913284302,\n 44.13234155159352\n ],\n [\n -103.08096170425415,\n 44.12996206658891\n ],\n [\n -103.08080077171326,\n 44.132295348913864\n ],\n [\n -103.08190584182739,\n 44.13234155159352\n ],\n [\n -103.08246374130249,\n 44.13274197330301\n ],\n [\n -103.08327913284302,\n 44.13234155159352\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55682e22e4b0d9246a9f60e8","contributors":{"authors":[{"text":"Bender, David A. 0000-0002-1269-0948 dabender@usgs.gov","orcid":"https://orcid.org/0000-0002-1269-0948","contributorId":985,"corporation":false,"usgs":true,"family":"Bender","given":"David","email":"dabender@usgs.gov","middleInitial":"A.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":547798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowe, Barbara L. blrowe@usgs.gov","contributorId":2673,"corporation":false,"usgs":true,"family":"Rowe","given":"Barbara","email":"blrowe@usgs.gov","middleInitial":"L.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":547811,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70103075,"text":"70103075 - 2015 - Age, growth rates, and paleoclimate studies of deep sea corals","interactions":[],"lastModifiedDate":"2016-01-26T09:29:06","indexId":"70103075","displayToPublicDate":"2015-05-28T10:34:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Age, growth rates, and paleoclimate studies of deep sea corals","docAbstract":"

Deep-water corals are some of the slowest growing, longest-lived skeletal accreting marine organisms. These habitat-forming species support diverse faunal assemblages that include commercially and ecologically important organisms. Therefore, effective management and conservation strategies for deep-sea corals can be informed by precise and accurate age, growth rate, and lifespan characteristics for proper assessment of vulnerability and recovery from perturbations. This is especially true for the small number of commercially valuable, and potentially endangered, species that are part of the black and precious coral fisheries (Tsounis et al. 2010). In addition to evaluating time scales of recovery from disturbance or exploitation, accurate age and growth estimates are essential for understanding the life history and ecology of these habitat-forming corals. Given that longevity is a key factor for population maintenance and fishery sustainability, partly due to limited and complex genetic flow among coral populations separated by great distances, accurate age structure for these deep-sea coral communities is essential for proper, long-term resource management.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The state of deep-sea coral and sponge ecosystems of the United States: 2015","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"NOAA","usgsCitation":"Prouty, N.G., Roark, E., Andrews, A., Robinson, L., Hill, T., Sherwood, O., Williams, B., Guilderson, T.P., and Fallon, S., 2015, Age, growth rates, and paleoclimate studies of deep sea corals, 22 p.","productDescription":"22 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044131","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":314865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":314863,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://deepseacoraldata.noaa.gov/library/2015-state-of-dsc-report-folder/Ch10_Spotlight_Prouty.pdf"},{"id":314864,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.coris.noaa.gov/activities/deepsea_coral_2015/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56a8a6bee4b0b28f1184dbdf","contributors":{"authors":[{"text":"Prouty, Nancy G","contributorId":119449,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"","middleInitial":"G","affiliations":[],"preferred":false,"id":518750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roark, E. Brendan","contributorId":25464,"corporation":false,"usgs":true,"family":"Roark","given":"E. Brendan","affiliations":[],"preferred":false,"id":589763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrews, Allen","contributorId":152569,"corporation":false,"usgs":false,"family":"Andrews","given":"Allen","email":"","affiliations":[],"preferred":false,"id":589764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Laura","contributorId":152570,"corporation":false,"usgs":false,"family":"Robinson","given":"Laura","affiliations":[],"preferred":false,"id":589765,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hill, Tessa","contributorId":152293,"corporation":false,"usgs":false,"family":"Hill","given":"Tessa","email":"","affiliations":[{"id":18898,"text":"University of California, Davis Bodega Marine Laboratory","active":true,"usgs":false}],"preferred":false,"id":589766,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sherwood, Owen","contributorId":152571,"corporation":false,"usgs":false,"family":"Sherwood","given":"Owen","email":"","affiliations":[],"preferred":false,"id":589767,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, Branwen","contributorId":152572,"corporation":false,"usgs":false,"family":"Williams","given":"Branwen","email":"","affiliations":[],"preferred":false,"id":589768,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Guilderson, Thomas P.","contributorId":59121,"corporation":false,"usgs":true,"family":"Guilderson","given":"Thomas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":589769,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fallon, Stewart 0000-0002-8064-5903","orcid":"https://orcid.org/0000-0002-8064-5903","contributorId":152573,"corporation":false,"usgs":false,"family":"Fallon","given":"Stewart","email":"","affiliations":[],"preferred":false,"id":589770,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70159198,"text":"70159198 - 2015 - A stochastic bioenergetics model based approach to translating large river flow and temperature in to fish population responses: The pallid sturgeon example","interactions":[],"lastModifiedDate":"2018-03-26T14:24:13","indexId":"70159198","displayToPublicDate":"2015-05-28T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5011,"text":"Geological Society of London Special Publications","active":true,"publicationSubtype":{"id":10}},"title":"A stochastic bioenergetics model based approach to translating large river flow and temperature in to fish population responses: The pallid sturgeon example","docAbstract":"

In managing fish populations, especially at-risk species, realistic mathematical models are needed to help predict population response to potential management actions in the context of environmental conditions and changing climate while effectively incorporating the stochastic nature of real world conditions. We provide a key component of such a model for the endangered pallid sturgeon (Scaphirhynchus albus) in the form of an individual-based bioenergetics model influenced not only by temperature but also by flow. This component is based on modification of a known individual-based bioenergetics model through incorporation of: the observed ontogenetic shift in pallid sturgeon diet from marcroinvertebrates to fish; the energetic costs of swimming under flowing-water conditions; and stochasticity. We provide an assessment of how differences in environmental conditions could potentially alter pallid sturgeon growth estimates, using observed temperature and velocity from channelized portions of the Lower Missouri River mainstem. We do this using separate relationships between the proportion of maximum consumption and fork length and swimming cost standard error estimates for fish captured above and below the Kansas River in the Lower Missouri River. Critical to our matching observed growth in the field with predicted growth based on observed environmental conditions was a two-step shift in diet from macroinvertebrates to fish.

","language":"English","publisher":"The Geological Society of London","doi":"10.1144/SP408.10","usgsCitation":"Wildhaber, M.L., Dey, R., Wikle, C.K., Moran, E.H., Anderson, C.J., and Franz, K.J., 2015, A stochastic bioenergetics model based approach to translating large river flow and temperature in to fish population responses: The pallid sturgeon example: Geological Society of London Special Publications, v. 408, p. 1-17, https://doi.org/10.1144/SP408.10.","productDescription":"18 p. 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In 2012, the National Oceanic and Atmospheric Administration (NOAA) declared Atlantic Sturgeon Acipenser oxyrinchus oxyrinchus to be threatened or endangered throughout its range in U.S. waters. Restoration of the subspecies will require much new information, particularly on the location and timing of spawning. We used a combination of acoustic telemetry and sampling with anchored artificial substrates (spawning pads) to detect fall (September–November) spawning in the Roanoke River in North Carolina. This population is included in the Carolina Distinct Population Segment, which was classified by NOAA as endangered. Sampling was done immediately below the first shoals encountered by anadromous fishes, near Weldon. Our collection of 38 eggs during the 21 d that spawning pads were deployed appears to be the first such collection (spring or fall) for wild-spawned Atlantic Sturgeon eggs. Based on egg development stages, estimated spawning dates were September 17–18 and 18–19 at water temperatures from 25.3°C to 24.3°C and river discharge from 55 to 297 m3/s. These observations about fall spawning and habitat use should aid in protecting critical habitats and planning research on Atlantic Sturgeon spawning in other rivers.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2014.965344","usgsCitation":"Smith, J.A., Hightower, J.E., and Flowers, H.J., 2015, Fall spawning of Atlantic sturgeon in the Roanoke River, North Carolina: Transactions of the American Fisheries Society, v. 144, no. 1, p. 48-54, https://doi.org/10.1080/00028487.2014.965344.","productDescription":"7 p.","startPage":"48","endPage":"54","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055820","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Roanoke River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.59171485900879,\n 36.4214896403675\n ],\n [\n -77.59171485900879,\n 36.42967346850678\n ],\n [\n -77.57493495941162,\n 36.42967346850678\n ],\n [\n -77.57493495941162,\n 36.4214896403675\n ],\n [\n -77.59171485900879,\n 36.4214896403675\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"144","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-02","publicationStatus":"PW","scienceBaseUri":"5566dca4e4b0d9246a9ec289","contributors":{"authors":[{"text":"Smith, Joseph A.","contributorId":140973,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":547773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flowers, H. Jared","contributorId":140974,"corporation":false,"usgs":false,"family":"Flowers","given":"H.","email":"","middleInitial":"Jared","affiliations":[],"preferred":false,"id":547774,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70148271,"text":"70148271 - 2015 - Depositional conditions for the Kuna Formation, Red Dog Zn-PB-Ag-Barite District, Alaska, inferred from isotopic and chemical proxies","interactions":[],"lastModifiedDate":"2018-11-19T11:29:28","indexId":"70148271","displayToPublicDate":"2015-05-27T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Depositional conditions for the Kuna Formation, Red Dog Zn-PB-Ag-Barite District, Alaska, inferred from isotopic and chemical proxies","docAbstract":"

Water column redox conditions, degree of restriction of the depositional basin, and other paleoenvironmental parameters have been determined for the Mississippian Kuna Formation of northwestern Alaska from stratigraphic profiles of Mo, Fe/Al, and S isotopes in pyrite, C isotopes in organic matter, and N isotopes in bulk rock. This unit is important because it hosts the Red Dog and Anarraaq Zn-Pb-Ag ± barite deposits, which together constitute one of the largest zinc resources in the world. The isotopic and chemical proxies record a deep basin environment that became isolated from the open ocean, became increasingly reducing, and ultimately became euxinic. The basin was ventilated briefly and then became isolated again just prior to its demise as a discrete depocenter with the transition to the overlying Siksikpuk Formation. Ventilation corresponded approximately to the initiation of bedded barite deposition in the district, whereas the demise of the basin corresponded approximately to the formation of the massive sulfide deposits. The changes in basin circulation during deposition of the upper Kuna Formation may have had multiple immediate causes, but the underlying driver was probably extensional tectonic activity that also facilitated fluid flow beneath the basin floor. Although the formation of sediment-hosted sulfide deposits is generally favored by highly reducing conditions, the Zn-Pb deposits of the Red Dog district are not found in the major euxinic facies of the Kuna basin, nor did they form during the main period of euxinia. Rather, the deposits occur where strata were permeable to migrating fluids and where excess H2S was available beyond what was produced in situ by decomposition of local sedimentary organic matter. The known deposits formed mainly by replacement of calcareous strata that gained H2S from nearby highly carbonaceous beds (Anarraaq deposit) or by fracturing and vein formation in strata that produced excess H2S by reductive dissolution of preexisting barite (Red Dog deposits).

","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.110.5.1143","usgsCitation":"Johnson, C.A., Dumoulin, J.A., Burruss, R.A., and Slack, J.F., 2015, Depositional conditions for the Kuna Formation, Red Dog Zn-PB-Ag-Barite District, Alaska, inferred from isotopic and chemical proxies: Economic Geology, v. 110, no. 5, p. 1143-1156, https://doi.org/10.2113/econgeo.110.5.1143.","productDescription":"14 p.","startPage":"1143","endPage":"1156","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044384","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":300846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kuna Formation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -166.201171875,\n 68.60852084639889\n ],\n [\n -162.20214843749997,\n 68.57644086491786\n ],\n [\n -162.20214843749997,\n 67.75939813204413\n ],\n [\n -164.443359375,\n 67.7094454829218\n ],\n [\n -165.76171875,\n 68.10610151896537\n ],\n [\n -166.640625,\n 68.31814602144938\n ],\n [\n -166.201171875,\n 68.60852084639889\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"110","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-22","publicationStatus":"PW","scienceBaseUri":"5566dca1e4b0d9246a9ec285","contributors":{"authors":[{"text":"Johnson, Craig A. 0000-0002-1334-2996 cjohnso@usgs.gov","orcid":"https://orcid.org/0000-0002-1334-2996","contributorId":909,"corporation":false,"usgs":true,"family":"Johnson","given":"Craig","email":"cjohnso@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":547642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":547643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burruss, Robert A. 0000-0001-6827-804X burruss@usgs.gov","orcid":"https://orcid.org/0000-0001-6827-804X","contributorId":558,"corporation":false,"usgs":true,"family":"Burruss","given":"Robert","email":"burruss@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":547641,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":547644,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70136357,"text":"sir20145236 - 2015 - Flood-inundation maps for the Hoosic River, North Adams and Williamstown, Massachusetts, from the confluence with the North Branch Hoosic River to the Vermont State line","interactions":[],"lastModifiedDate":"2015-11-04T12:07:21","indexId":"sir20145236","displayToPublicDate":"2015-05-27T09:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5236","title":"Flood-inundation maps for the Hoosic River, North Adams and Williamstown, Massachusetts, from the confluence with the North Branch Hoosic River to the Vermont State line","docAbstract":"

A series of nine digital flood-inundation maps were developed for an 8-mile reach of the Hoosic River in North Adams and Williamstown, Massachusetts, by the U.S. Geological Survey (USGS) in cooperation with the Federal Emergency Management Agency. The coverage of the maps extends from the confluence with the North Branch Hoosic River to the Vermont State line. Peak flows with 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities were computed for the reach from updated flood-frequency analyses. These peak flows were routed through a one-dimensional step-backwater hydraulic model to obtain the corresponding peak water-surface elevations, and to place the tropical storm Irene flood of August 28, 2011 into historical context. The hydraulic model was calibrated by using the current (2014) stage-discharge relation at the USGS streamgage Hoosic River near Williamstown, Massachusetts (01332500), and from documented high-water marks from the tropical storm Irene flood, which had approximately a 1-percent annual exceedance probability.

\n

The hydraulic model was used to compute water-surface profiles for flood stages referenced to the streamgage and ranging from 9 feet (ft; 624.45 ft North American Vertical Datum of 1988 [NAVD 1988]), which is near bankfull, to 16.1 ft (631.59 ft NAVD 1988), which exceeds the maximum recorded water level at the streamgage and the National Weather Service major flood stage of 13.0 ft. The mapped stages, 10.9 to 16.1 ft, were selected to match the stages of flows with annual exceedance probabilities between 20 and 0.2 percent, and thus do not fall at exact 1-ft increments. The simulated water-surface profiles were combined with a geographic information system digital elevation model derived from light detection and ranging (lidar) data having a 0.5-ft vertical accuracy to create a set of flood-inundation maps.

\n

The availability of the flood-inundation maps, combined with information regarding current (near real-time) stage from USGS streamgage Hoosic River near Williamstown, and forecasted flood stages from the National Weather Service Advanced Hydrologic Prediction Service will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, and post-flood recovery efforts. The flood-inundation maps are nonregulatory, but provide Federal, State, and local agencies and the public with estimates of the potential extent of flooding during selected peak-flow events.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145236","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Lombard, P., and Bent, G.C., 2015, Flood-inundation maps for the Hoosic River, North Adams and Williamstown, Massachusetts, from the confluence with the North Branch Hoosic River to the Vermont State line: U.S. Geological Survey Scientific Investigations Report 2014-5236, Report: vi, 15 p.; Downloads Directory, https://doi.org/10.3133/sir20145236.","productDescription":"Report: vi, 15 p.; Downloads Directory","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-059673","costCenters":[{"id":371,"text":"Maine Water Science 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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5566dca7e4b0d9246a9ec28b","contributors":{"authors":[{"text":"Lombard, Pamela J. plombard@usgs.gov","contributorId":140923,"corporation":false,"usgs":true,"family":"Lombard","given":"Pamela J.","email":"plombard@usgs.gov","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":false,"id":547600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bent, Gardner C. 0000-0002-5085-3146 gbent@usgs.gov","orcid":"https://orcid.org/0000-0002-5085-3146","contributorId":1864,"corporation":false,"usgs":true,"family":"Bent","given":"Gardner","email":"gbent@usgs.gov","middleInitial":"C.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":547601,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173890,"text":"70173890 - 2015 - Effectiveness of two commercial rotenone formulations in the eradication of virile crayfish Orconectes virillis","interactions":[],"lastModifiedDate":"2016-06-22T13:39:50","indexId":"70173890","displayToPublicDate":"2015-05-27T06:30:00","publicationYear":"2015","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":"Effectiveness of two commercial rotenone formulations in the eradication of virile crayfish Orconectes virillis","docAbstract":"

The virile or northern crayfish Orconectes virilis is an invasive species throughout much of the USA, damaging aquatic communities where it is introduced. Therefore, identification of effective methods for its eradication from areas in which it is unwanted is important. We studied the effectiveness of two commercial formulations of rotenone, Chem Fish Regular and CFT Legumine, for virile crayfish control. Although both formulations were effective for fish eradication, earlier observations by fisheries managers suggested that the relative effectiveness of the two formulations differs for crayfish. The only noteworthy difference between the formulations is that the former contains a synergist. In our first experiment, we tested each toxicant at the maximum labeled dosage (5 ppm) and found CFT Legumine to be 100% ineffective (0% mortality), while the Chem Fish Regular treatment resulted in 12.5% mortality. After we deemed Chem Fish Regular to be the only toxicant with any effectiveness against virile crayfish, we tested concentrations from 5 to 50 ppm and found 10 times the maximum labeled dosage (50 ppm rotenone) was needed to kill all virile crayfish. Because crayfish burrow and can leave water, and because 100% eradication is usually desired, rotenone applied at the labeled rates will not be effective for crayfish control. However, treating a body of water with CFT Legumine to eradicate invasive fish while leaving desirable crayfish unharmed is possible.

","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2015.1017127","usgsCitation":"Recsetar, M.S., and Bonar, S.A., 2015, Effectiveness of two commercial rotenone formulations in the eradication of virile crayfish Orconectes virillis: North American Journal of Fisheries Management, v. 35, no. 3, p. 616-620, https://doi.org/10.1080/02755947.2015.1017127.","productDescription":"5 p.","startPage":"616","endPage":"620","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057198","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":324228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-27","publicationStatus":"PW","scienceBaseUri":"576bb6b2e4b07657d1a22896","contributors":{"authors":[{"text":"Recsetar, Matthew S.","contributorId":67395,"corporation":false,"usgs":true,"family":"Recsetar","given":"Matthew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":640357,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":638894,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70135042,"text":"70135042 - 2015 - Estimates of hydraulic fracturing (Frac) sand production, consumption, and reserves in the United States","interactions":[],"lastModifiedDate":"2016-11-09T11:59:32","indexId":"70135042","displayToPublicDate":"2015-05-26T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5225,"text":"Rock Products","active":true,"publicationSubtype":{"id":10}},"title":"Estimates of hydraulic fracturing (Frac) sand production, consumption, and reserves in the United States","docAbstract":"

The practice of fracturing reservoir rock in the United States as a method to increase the flow of oil and gas from wells has a relatively long history and can be traced back to 1858 in Fredonia, New York, when a gas well situated in shale of the Marcellus Formation was successfully fractured using black powder as a blasting agent. Nearly all domestic hydraulic fracturing, often referred to as hydrofracking or fracking, is a process where fluids are injected under high pressure through perforations in the horizontal portion of a well casing in order to generate fractures in reservoir rock with low permeability (“tight”). Because the fractures are in contact with the well bore they can serve as pathways for the recovery of gas and oil. To prevent the fractures generated by the fracking process from closing or becoming obstructed with debris, material termed “proppant,” most commonly high-silica sand, is injected along with water-rich fluids to maintain or “prop” open the fractures. The first commercial application of fracking in the oil and gas industry took place in Oklahoma and Texas during the 1940s. In 1949, over 300 wells, mostly vertical, were fracked (ALL Consulting, LLC, 2012; McGee, 2012; Veil, 2012) and used silica sand as a proppant (Fracline, 2011). The resulting increase in well productivity demonstrated the significant potential that fracking might have for the oil and gas industry.

","language":"English","publisher":"Rock Products","usgsCitation":"Bleiwas, D.I., 2015, Estimates of hydraulic fracturing (Frac) sand production, consumption, and reserves in the United States: Rock Products, v. 118, no. 5, p. 60-60.","productDescription":"1 p.","startPage":"60","endPage":"60","ipdsId":"IP-061248","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":330887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":330886,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://connection.ebscohost.com/c/articles/103170641/estimates-hydraulic-fracturing-frac-sand-production-consumption-reserves-united-states"}],"volume":"118","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"582443f6e4b09065cdf30542","contributors":{"authors":[{"text":"Bleiwas, Donald I. bleiwas@usgs.gov","contributorId":1434,"corporation":false,"usgs":true,"family":"Bleiwas","given":"Donald","email":"bleiwas@usgs.gov","middleInitial":"I.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":526711,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70171170,"text":"70171170 - 2015 - Initiation of migration and movement rates of Atlantic salmon smolts in fresh water","interactions":[],"lastModifiedDate":"2016-05-25T16:18:28","indexId":"70171170","displayToPublicDate":"2015-05-25T13:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Initiation of migration and movement rates of Atlantic salmon smolts in fresh water","docAbstract":"

Timing of ocean entry is critical for marine survival of both hatchery and wild Atlantic salmon (Salmo salar) smolts. Management practices and barriers to migration such as dams may constrain timing of smolt migrations resulting in suboptimal performance at saltwater entry. We modeled influences of stocking location, smolt development, and environmental conditions on (i) initiation of migration by hatchery-reared smolts and (ii) movement rate of hatchery- and wild-reared Atlantic salmon smolts in the Penobscot River, Maine, USA, from 2005 through 2014 using acoustic telemetry data. We also compared movement rates in free-flowing reaches with rates in reaches with hydropower dams and head ponds. We compared movement rates before and after (1) removal of two mainstem dams and (2) construction of new powerhouses. Initiation of movement by hatchery fish was influenced by smolt development, stocking location, and environmental conditions. Smolts with the greatest gill Na+, K+-ATPase (NKA) activity initiated migration 24 h sooner than fish with the lowest gill NKA activity. Fish with the greatest cumulative thermal experience initiated migration 5 days earlier than those with lowest cumulative thermal experience. Smolts released furthest from the ocean initiated migration earlier than those released downstream, but movement rate increased by fivefold closer to the ocean, indicating behavioral trade-offs between initiation and movement rate. Dams had a strong effect on movement rate. Movement rate increased from 2.8 to 5.4 km·h−1 in reaches where dams were removed, but decreased from 2.1 to 0.1 km·h−1 in reaches where new powerhouses were constructed. Movement rate varied throughout the migratory period and was inversely related to temperature. Fish moved slower at extreme high or low discharge. Responses in fish movement rates to dam removal indicate the potential scope of recovery for these activities.

","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2014-0570","usgsCitation":"Stich, D.S., Kinnison, M.T., Kocik, J.F., and Zydlewski, J.D., 2015, Initiation of migration and movement rates of Atlantic salmon smolts in fresh water: Canadian Journal of Fisheries and Aquatic Sciences, v. 72, no. 9, p. 1339-1351, https://doi.org/10.1139/cjfas-2014-0570.","productDescription":"13 p.","startPage":"1339","endPage":"1351","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060916","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -68.5,\n 44.7\n ],\n [\n -68.5,\n 45.1\n ],\n [\n -68.8,\n 45.1\n ],\n [\n -68.8,\n 44.7\n ],\n [\n -68.5,\n 44.7\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"72","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5746ccbde4b07e28b662dce6","contributors":{"authors":[{"text":"Stich, Daniel S.","contributorId":139212,"corporation":false,"usgs":false,"family":"Stich","given":"Daniel","email":"","middleInitial":"S.","affiliations":[{"id":12606,"text":"University of Maine, Dept of Plant, Soil, & Envir Sciences","active":true,"usgs":false}],"preferred":false,"id":630301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinnison, Michael T.","contributorId":169617,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":630302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kocik, John F.","contributorId":103162,"corporation":false,"usgs":true,"family":"Kocik","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":630303,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":630304,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148195,"text":"ofr20151106 - 2015 - Estimating exposure of piscivorous birds and sport fish to mercury in California lakes using prey fish monitoring: a predictive tool for managers","interactions":[],"lastModifiedDate":"2017-11-27T14:27:39","indexId":"ofr20151106","displayToPublicDate":"2015-05-25T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1106","title":"Estimating exposure of piscivorous birds and sport fish to mercury in California lakes using prey fish monitoring: a predictive tool for managers","docAbstract":"

Numerous water bodies in California are listed under the Clean Water Act as being impaired due to mercury (Hg) contamination. The Surface Water Ambient Monitoring Program (SWAMP), via the Bioaccumulation Oversight Group (BOG), has recently completed statewide surveys of contaminants in sport fish tissue from more than 250 lakes and rivers in California and throughout coastal waters. This effort focused on human health issues but did not include beneficial uses by wildlife. Many piscivorous birds such as grebes, terns, cormorants, and mergansers eat fish smaller than those that were sampled by BOG, and sport fish Hg concentrations are not always indicative of wildlife exposure to Hg; therefore, the BOG surveys could not address whether wildlife were at risk due to Hg-induced reproductive impairment in these lakes.

\n

We used western grebes (Aechmophorus occidentalis) and Clark’s grebes (Aechmophorus clarkii) as our index of wildlife exposure to Hg in California lakes. Grebes are widely distributed in lakes throughout California and, as piscivorous waterbirds, are near the top of the food chain in lakes. Additionally, grebes become flightless after they arrive at their summer locations. Thus, grebes are useful representatives for wildlife risk from local, lake-specific contaminant exposure. Grebes also breed at many lakes throughout California, making them susceptible to impaired reproduction due to local Hg contamination.

\n

We developed a tool for estimating wildlife and sport fish risk from Hg exposure based on Hg concentrations in prey fish. This quantitative tool can be used to predict Hg concentrations in grebe blood, grebe eggs, and sport fish, thus facilitating a feasible alternative for adequately estimating wildlife exposure when more comprehensive wildlife sampling is not possible. Specifically, we sampled grebes, prey fish, and sport fish simultaneously at 25 lakes throughout California during the spring and summer of 2012 and 2013 when breeding birds are particularly vulnerable to Hg-induced reproductive impairment. We selected lakes based on a combination of factors, including lakes

\n
    \n
  1. from southern and northern California,
    2. \n
  2. of various sizes, shapes, and elevations,
    3. \n
  3. with a range of sport fish Hg exposure levels ,
    4. \n
  4. where largemouth bass (Micropterus salmoides) was the primary sport fish, and
    5. \n
  5. with a history of use by grebes.
    6. \n
\n

Using these factors ensured that our results are representative of a broad range of lakes and reservoirs in California and are comparable to prior BOG studies.

\n

Specifically, we addressed three management questions:

\n
    \n
  1. Does methylmercury pose significant risks to aquatic life in a representative sample of California lakes and reservoirs?
    2. \n
  2. Can a correlational approach be applied on a statewide basis to estimate risks to birds?
    3. \n
  3. What are appropriate water-quality monitoring requirements to address methylmercury exposure in wildlife?
    4. \n
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151106","collaboration":"USFWS, CA State Water Resources Control Board","usgsCitation":"Ackerman, J., Hartman, C.A., Eagles-Smith, C.A., Herzog, M., Davison, J., Ichikawa, G., and Bonnema, A., 2015, Estimating exposure of piscivorous birds and sport fish to mercury in California lakes using prey fish monitoring: a predictive tool for managers: U.S. Geological Survey Open-File Report 2015-1106, Report: vii, 48 p.; Risk Estimator Tool, https://doi.org/10.3133/ofr20151106.","productDescription":"Report: vii, 48 p.; Risk Estimator Tool","numberOfPages":"60","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-065497","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":300763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151106.jpg"},{"id":300757,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1106/"},{"id":300761,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1106/pdf/ofr2015-1106.pdf","text":"Report","size":"4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":300762,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2015/1106/downloads/ofr2015-1106_USGS_Wildlife_and_Sport_Fish_Risk_Estimator_Tool_Final.xlsx","text":"USGS Wildlife and Sport Fish Risk Estimator Tool Final","size":"472 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"USGS Wildlife and Sport Fish Risk Estimator Tool Final"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n 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32.63937487360669\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5564399be4b0afeb70725816","contributors":{"authors":[{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":547554,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartman, C. Alex 0000-0002-7222-1633 chartman@usgs.gov","orcid":"https://orcid.org/0000-0002-7222-1633","contributorId":131109,"corporation":false,"usgs":true,"family":"Hartman","given":"C.","email":"chartman@usgs.gov","middleInitial":"Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":547567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":547568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herzog, Mark P. mherzog@usgs.gov","contributorId":3965,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark P.","email":"mherzog@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":547569,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davison, Jay","contributorId":92353,"corporation":false,"usgs":true,"family":"Davison","given":"Jay","email":"","affiliations":[],"preferred":false,"id":547570,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ichikawa, Gary","contributorId":140920,"corporation":false,"usgs":false,"family":"Ichikawa","given":"Gary","email":"","affiliations":[],"preferred":false,"id":547571,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bonnema, Autumn","contributorId":140921,"corporation":false,"usgs":false,"family":"Bonnema","given":"Autumn","email":"","affiliations":[],"preferred":false,"id":547572,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70243861,"text":"70243861 - 2015 - End-of-winter snow depth variability on glaciers in Alaska","interactions":[],"lastModifiedDate":"2023-05-24T15:05:42.814122","indexId":"70243861","displayToPublicDate":"2015-05-23T15:56:20","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"End-of-winter snow depth variability on glaciers in Alaska","docAbstract":"

A quantitative understanding of snow thickness and snow water equivalent (SWE) on glaciers is essential to a wide range of scientific and resource management topics. However, robust SWE estimates are observationally challenging, in part because SWE can vary abruptly over short distances in complex terrain due to interactions between topography and meteorological processes. In spring 2013, we measured snow accumulation on several glaciers around the Gulf of Alaska using both ground- and helicopter-based ground-penetrating radar surveys, complemented by extensive ground truth observations. We found that SWE can be highly variable (40% difference) over short spatial scales (tens to hundreds of meters), especially in the ablation zone where the underlying ice surfaces are typically rough. Elevation provides the dominant basin-scale influence on SWE, with gradients ranging from 115 to 400 mm/100 m. Regionally, total accumulation and the accumulation gradient are strongly controlled by a glacier's distance from the coastal moisture source. Multiple linear regressions, used to calculate distributed SWE fields, show that robust results require adequate sampling of the true distribution of multiple terrain parameters. Final SWE estimates (comparable to winter balances) show reasonable agreement with both the Parameter-elevation Relationships on Independent Slopes Model climate data set (9–36% difference) and the U.S. Geological Survey Alaska Benchmark Glaciers (6–36% difference). All the glaciers in our study exhibit substantial sensitivity to changing snow-rain fractions, regardless of their location in a coastal or continental climate. While process-based SWE projections remain elusive, the collection of ground-penetrating radar (GPR)-derived data sets provides a greatly enhanced perspective on the spatial distribution of SWE and will pave the way for future work that may eventually allow such projections.

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015JF003539","usgsCitation":"Mcgrath, D., Sass, L., O’Neel, S., Arendt, A., Wolken, G., Gusmeroli, A., Kienholz, C., and McNeil, C., 2015, End-of-winter snow depth variability on glaciers in Alaska: Journal of Geophysical Research: Earth Surface, v. 120, no. 8, p. 1530-1550, https://doi.org/10.1002/2015JF003539.","productDescription":"21 p.","startPage":"1530","endPage":"1550","ipdsId":"IP-064450","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":472080,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015jf003539","text":"Publisher Index Page"},{"id":438700,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7K072BV","text":"USGS data release","linkHelpText":"Raw Ground Penetrating Radar Data, Valdez Glacier, Alaska; 2013"},{"id":438699,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7F769M4","text":"USGS data release","linkHelpText":"Raw Ground Penetrating Radar Data, Eklutna Glacier, Alaska; 2013"},{"id":438698,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Z60M35","text":"USGS data release","linkHelpText":"Raw Ground Penetrating Radar Data, Eureka Glacier, Alaska; 2013"},{"id":438697,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7TH8JRR","text":"USGS data release","linkHelpText":"Raw Ground Penetrating Radar Data, Gulkana Glacier, Alaska; 2013"},{"id":438696,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BG2M16","text":"USGS data release","linkHelpText":"Raw Ground Penetrating Radar Data,Taku Glacier, Alaska; 2013"},{"id":438695,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7G73BRH","text":"USGS data release","linkHelpText":"Raw Ground Penetrating Radar Data, Wolverine Glacier, Alaska; 2013"},{"id":438694,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76Q1V81","text":"USGS data release","linkHelpText":"Raw Ground Penetrating Radar Data, Scott Glacier, Alaska; 2013"},{"id":417368,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -151.14517565646327,\n 62.938908091713984\n ],\n [\n -151.14517565646327,\n 57.55690540490215\n ],\n [\n -137.04945194161488,\n 57.55690540490215\n ],\n [\n -137.04945194161488,\n 62.938908091713984\n ],\n [\n -151.14517565646327,\n 62.938908091713984\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"120","issue":"8","noUsgsAuthors":false,"publicationDate":"2015-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Mcgrath, Daniel 0000-0002-9462-6842","orcid":"https://orcid.org/0000-0002-9462-6842","contributorId":220417,"corporation":false,"usgs":true,"family":"Mcgrath","given":"Daniel","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":873543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sass, Louis C. 0000-0003-4677-029X lsass@usgs.gov","orcid":"https://orcid.org/0000-0003-4677-029X","contributorId":3555,"corporation":false,"usgs":true,"family":"Sass","given":"Louis C.","email":"lsass@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":873544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":873545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arendt, Anthony 0000-0003-0429-6905","orcid":"https://orcid.org/0000-0003-0429-6905","contributorId":220394,"corporation":false,"usgs":false,"family":"Arendt","given":"Anthony","email":"","affiliations":[{"id":40162,"text":"U. of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":873546,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolken, Gabriel","contributorId":305685,"corporation":false,"usgs":false,"family":"Wolken","given":"Gabriel","affiliations":[{"id":16126,"text":"Alaska Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":873547,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gusmeroli, Alessio 0000-0002-8355-5591","orcid":"https://orcid.org/0000-0002-8355-5591","contributorId":220395,"corporation":false,"usgs":false,"family":"Gusmeroli","given":"Alessio","email":"","affiliations":[{"id":40163,"text":"U of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":873548,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kienholz, Christian 0000-0001-7962-4446","orcid":"https://orcid.org/0000-0001-7962-4446","contributorId":220396,"corporation":false,"usgs":false,"family":"Kienholz","given":"Christian","email":"","affiliations":[{"id":40162,"text":"U. of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":873549,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McNeil, Christopher J. 0000-0003-4170-0428 cmcneil@usgs.gov","orcid":"https://orcid.org/0000-0003-4170-0428","contributorId":5803,"corporation":false,"usgs":true,"family":"McNeil","given":"Christopher J.","email":"cmcneil@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":873550,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70147415,"text":"sir20155061 - 2015 - Groundwater flow in the Brunswick/Glynn County area, Georgia, 2000-04","interactions":[],"lastModifiedDate":"2017-01-18T13:19:32","indexId":"sir20155061","displayToPublicDate":"2015-05-22T15:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5061","title":"Groundwater flow in the Brunswick/Glynn County area, Georgia, 2000-04","docAbstract":"

An existing regional steady-state model for coastal Georgia, and parts of South Carolina and Florida, was revised to evaluate the local effects of pumping on the migration of high chloride (saline) water in the Upper Floridan aquifer located in the Brunswick/Glynn County, Georgia (Ga.) area. Revisions were focused on enhancing the horizontal and vertical resolution of the regional model grid in the vicinity of saline water. Modifications to the regional model consisted of (1) limiting grid size to a maximum of 500 feet (ft) per side in the vicinity of chloride contamination; (2) representing the upper and lower Brunswick aquifers with distinct model layers; (3) similarly, representing upper and lower water-bearing zones of the Upper Floridan aquifer with distinct model layers in Glynn and Camden Counties, Ga.; and (4) establishing new hydraulic-property zones in the Upper Floridan aquifer. The revised model simulated steady-state conditions that were assumed to exist during 2000 and 2004.

\n

Calibration of the revised steady-state model using pumping rates from 2000 indicates a \"good\" match (±10 ft) based on 181 observations, with median residuals (simulated minus observed water levels) in each of the active model layers ranging from -8.62 to 4.67 ft, and root mean square error (RMSE) ranging from 10.9 to 11.4 ft. In the Brunswick/Glynn County area, groundwater-level residuals in the upper water-bearing zone of the Upper Floridan aquifer (layer 7) indicate an \"excellent\" match (±5 ft) based on 41 observations with a median residual of -0.35 ft and RMSE of 4.32 ft.

\n

Calibration of the revised steady-state model using 2004 pumping rates and adjusted specified-head input values in the Floridan aquifer system indicates a \"good\" match (-10 ft) based on 88 observations, with median residuals in each of the active model layers ranging from -6.31 to -2.05 ft, and RMSE ranging from -6.95 to 14.5 ft. In the Brunswick/Glynn County area, groundwater-level residuals in the upper water-bearing zone of the Upper Floridan aquifer (layer 7) indicate an \"excellent\" match (±5 ft) based on 32 observations with a median residual of -1.50 ft and RMSE of 5.34 ft.

\n

Simulated potentiometric surfaces for 2000 and 2004 indicate coastward groundwater flow in the Upper and Lower Floridan aquifers influenced by pumping centers at Savannah, Jesup, and Brunswick, Ga., and indicate steep potentiometric gradients to the west and north of the Gulf Trough. In the Brunswick/Glynn County area, simulated industrial production wells located north of downtown Brunswick intercept local groundwater flow in the upper and lower water-bearing zones of the Upper Floridan aquifer and have created a cone of depression that locally alters the regional coastward flow direction.

\n

Maps of simulated water-level change during the 2000-04 period show differences in groundwater levels in the Upper Floridan aquifer that range from -2.5 ft to more than 5 ft in areas of coastal Georgia, and more than 20 ft near the Georgia-Florida State Line. Positive values indicate higher simulated water levels during 2004 than during 2000, which were caused by reduced pumping in the Upper Floridan aquifer prompted by the shutdown of a paper mill near the southern model boundary in 2002 and increased recharge following a prolonged drought during 1998-2002.

\n

Simulated potentiometric profiles for 2000 and 2004 were used to evaluate the potentiometric gradients in the upper water-bearing zone of the Upper Floridan aquifer (layer 7) near the chloride plume in the downtown Brunswick area. Four potentiometric profiles were constructed for 2000 to compare the simulated and observed water levels in 13 wells and were oriented outward from a primary well field. The simulated potentiometric gradients from the four profiles for 2000 ranged from 3.6 to 5.2 feet per mile (ft/mi) compared to observed values ranging from 4.1 to 5.6 ft/mi. The five potentiometric profiles constructed for 2004 allowed for a similar comparison using simulated and observed water levels in 18 wells. The simulated potentiometric gradients from the five profiles for 2000 ranged from 3.6 to 11.1 ft/mi compared to observed values ranging from 3.8 to 10.2 ft/mi. Simulated potentiometric gradients were higher for 2004 than for 2000 because of the inclusion of a well located within the cone of depression near downtown Brunswick.

\n

Composite-scaled sensitivities of the model parameters indicate the revised model is most sensitive to pumping rates, followed by the horizontal hydraulic conductivity in the Upper Floridan aquifer for zones along coastal Georgia. The revised model is least sensitive to the horizontal hydraulic conductivity of the confining units and vertical hydraulic conductivity of the aquifers. For parameters defined by hydraulic-property zones in the upper and lower water-bearing zones of the Upper Floridan aquifer, such as horizontal hydraulic conductivity, model sensitivity was not as great in the Brunswick/Glynn County area as other areas along coastal Georgia. The model exhibited more sensitivity to these parameters however, than to parameters representing the majority of zones defining the vertical hydraulic conductivity of the confining units, which originally were assumed to govern upward migration of chloride contamination into this aquifer.

\n

Analysis of simulated water-budget components for 2000 and 2004 indicate that specified-head boundaries in the Floridan aquifer system to the south and southwest of the regional model area control about 70 percent of inflows and nearly 50 percent of outflows to the model region. Other water-budget components indicate an 80-million-gallon-per-day decrease in pumping from the Floridan aquifer system during this period.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155061","usgsCitation":"Cherry, G.S., 2015, Groundwater flow in the Brunswick/Glynn County area, Georgia, 2000-04: U.S. Geological Survey Scientific Investigations Report 2015-5061, viii, 88 p., https://doi.org/10.3133/sir20155061.","productDescription":"viii, 88 p.","numberOfPages":"100","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2000-01-01","temporalEnd":"2004-12-31","ipdsId":"IP-015105","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":300754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155061.jpg"},{"id":300753,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5061/pdf/sir2015-5061.pdf","text":"Report","size":"10.4 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"SIR 2015-5061 Report"},{"id":300752,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5061/"}],"country":"United States","state":"Georgia","county":"Brunswick County, Glynn County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.52284622192383,\n 31.121439619206097\n ],\n [\n -81.52284622192383,\n 31.178147212117395\n ],\n [\n -81.4577865600586,\n 31.178147212117395\n ],\n [\n -81.4577865600586,\n 31.121439619206097\n ],\n [\n -81.52284622192383,\n 31.121439619206097\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5560452be4b0afeb70724149","contributors":{"authors":[{"text":"Cherry, Gregory S. 0000-0002-5567-1587 gccherry@usgs.gov","orcid":"https://orcid.org/0000-0002-5567-1587","contributorId":1567,"corporation":false,"usgs":true,"family":"Cherry","given":"Gregory","email":"gccherry@usgs.gov","middleInitial":"S.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545930,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70148122,"text":"ofr20151104 - 2015 - Exposure-related effects of Pseudomonas fluorescens, strain CL145A, on coldwater, coolwater, and warmwater fish","interactions":[],"lastModifiedDate":"2015-05-22T13:38:15","indexId":"ofr20151104","displayToPublicDate":"2015-05-22T14:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1104","title":"Exposure-related effects of Pseudomonas fluorescens, strain CL145A, on coldwater, coolwater, and warmwater fish","docAbstract":"

The exposure-related effects of a commercially prepared spray-dried powder (SDP) formulation of Pseudomonas fluorescens, strain CL145A, were evaluated on coldwater, coolwater, and warmwater fish endemic to the Great Lakes and Upper Mississippi River Basins. Nine species of young-of-the-year fish were exposed to SDP for 24 hours by using continuous-flow, serial-dilution exposure systems at temperatures of 12 degrees Celsius (°C; 2 species; Oncorhynchus mykiss [rainbow trout] and Salvelinus fontinalis [brook trout]), 17 °C (3 species; Perca flavescens [yellow perch], Sander vitreus [walleye], and Acipenser fulvescens [lake sturgeon]), or 22 °C (4 species; Micropterus salmoides [largemouth bass], Micropterus dolomieu [smallmouth bass], Lepomis macrochirus [bluegill sunfish], and Ictalurus punctatus [channel catfish]).

\n

Treatments, which were nominal target concentrations of SDP (as active ingredient) of 50, 100, 200, and 300 milligrams per liter (mg/L), were continuously applied for 24 hours by the addition of a test article stock solution into the main water inflow of each exposure system's dilution box. The SDP-treated water was then serially diluted through a series of dilution cells before delivery to the test chambers. The exposure concentrations measured were 61.5 to 81.4 percent of the target concentration. After exposure, fish were monitored for 22 days to assess exposure-related latent effects.

\n

Analyses of test animal condition factors and survival revealed that a 24-hour continuous dose of SDP affected all species. Calculated concentrations of SDP that would be lethal to 50 percent of the test animals (LC50) for the coldwater species were 19.2 and 104.6 mg/L for rainbow and brook trout, respectively. The LC50's for the coolwater species were 185.4, 176.9 and 8.9 mg/L for yellow perch, walleye, and lake sturgeon, respectively. The LC50's for the warmwater species were 173.6, 139.4, and 63.1 for the largemouth bass, smallmouth bass, and channel catfish, respectively. A reliable LC50 for bluegill sunfish could not be calculated because mortality in the SDP-treated groups did not exceed 20 percent.

\n

Further investigations to evaluate the SDP-exposure related effects on freshwater fish at the maximum approved open-water label concentration and exposure duration (100 mg/L for 8 hours) and using the expected lentic application technique (static application) are warranted. The variation in tolerance to P. fluorescens, strain CL145A, exposure observed in this study indicates that fish species community composition should be considered before SDP is applied in open-water environments.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151104","usgsCitation":"Luoma, J.A., Weber, K.L., and Denise A. Mayer, 2015, Exposure-related effects of Pseudomonas fluorescens, strain CL145A, on coldwater, coolwater, and warmwater fish: U.S. Geological Survey Open-File Report 2015-1104, viii, 1632 p., https://doi.org/10.3133/ofr20151104.","productDescription":"viii, 1632 p.","numberOfPages":"1641","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064984","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":300743,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1104/pdf/ofr2015-1104.pdf","text":"Report","size":"56.6 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"OF 2015-1104 Report"},{"id":300744,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2015/1050/","text":"Open-File Report 2015-1050","description":"Companion Report - Efficacy of Pseudomonas fluorescens (Pf-CL145A) Spray Dried Powder for Controlling Zebra Mussels Adhering to Test Substrates"},{"id":300745,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2015/1051/","text":"Open-File Report 2015-1051","description":"Companion Report - Efficacy of Pseudomonas fluorescens Strain CL145A Spray Dried Powder for Controlling Zebra Mussels Adhering to Native Unionid Mussels Within Field Enclosures"},{"id":300746,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2015/1064/","text":"Open-File Report 2015-1064","description":"Companion Report - Safety of Spray-Dried Powder Formulated Pseudomonas fluorescens Strain CL145A Exposure to Subadult/Adult Unionid Mussels During Simulated Open-Water Treatments"},{"id":300742,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1104/"},{"id":300747,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2015/1066/","text":"Open-File Report 2015-1066","description":"Companion Report - Exposure-Related Effects of Pseudomonas fluorescens (Pf-CL145A) on Juvenile Unionid Mussels"},{"id":300748,"rank":7,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2015/1094","text":"Open-File Report 2015-1094","description":"Companion Report - Exposure-Related Effects of Formulated Pseudomonas fluorescens Strain CL145A to Glochidia from Seven Unionid Mussel Species"},{"id":300749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151104.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55604527e4b0afeb70724145","contributors":{"authors":[{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":547449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weber, Kerry L. klweber@usgs.gov","contributorId":4750,"corporation":false,"usgs":true,"family":"Weber","given":"Kerry","email":"klweber@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":547450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Denise A. Mayer","contributorId":140891,"corporation":false,"usgs":false,"family":"Denise A. Mayer","affiliations":[{"id":13605,"text":"New York State Department of Education, Cambridge Field Laboratory","active":true,"usgs":false}],"preferred":false,"id":547451,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}