{"pageNumber":"644","pageRowStart":"16075","pageSize":"25","recordCount":69037,"records":[{"id":70003725,"text":"70003725 - 2013 - Shovelnose sturgeon spawning in relation to varying discharge treatments in a Missouri River tributary","interactions":[],"lastModifiedDate":"2013-10-23T08:33:19","indexId":"70003725","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Shovelnose sturgeon spawning in relation to varying discharge treatments in a Missouri River tributary","docAbstract":"Many lotic fish species use natural patterns of variation in discharge and temperature as spawning cues, and these natural patterns are often altered by river regulation. The effects of spring discharge and water temperature variation on the spawning of shovelnose sturgeon Scaphirhynchus platorynchus have not been well documented. From 2006 through 2009, we had the opportunity to study the effects of experimental discharge levels on shovelnose sturgeon spawning in the lower Marias River, a regulated tributary to the Missouri River in Montana. In 2006, shovelnose sturgeon spawned in the Marias River in conjunction with the ascending, peak (134 m<sup>3</sup>/s) and descending portions of the spring hydrograph and water temperatures from 16&deg;C to 19&deg;C. In 2008, shovelnose sturgeon spawned in conjunction with the peak (118 m<sup>3</sup>/s) and descending portions of the spring hydrograph and during a prolonged period of increased discharge (28&ndash;39 m<sup>3</sup>/s), coupled with water temperatures from 11&deg;C to 23&deg;C in the lower Marias River. No evidence of shovelnose sturgeon spawning was documented in the lower Marias River in 2007 or 2009 when discharge remained low (14 and 20 m<sup>3</sup>/s) despite water temperatures suitable and optimal (12&deg;C-24&deg;C) for shovelnose sturgeon embryo development. A similar relationship between shovelnose sturgeon spawning and discharge was observed in the Teton River. These data suggest that discharge must reach a threshold level (28 m<sup>3</sup>/s) and should be coupled with water temperatures suitable (12&deg;C-24&deg;C) or optimal (16&deg;C-20&deg;C) for shovelnose sturgeon embryo development to provide a spawning cue for shovelnose sturgeon in the lower Marias River.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"John Wiley & Sons, Ltd.","publisherLocation":"Hoboken, NJ","doi":"10.1002/rra.2587","usgsCitation":"Goodman, B., Guy, C., Camp, S., Gardner, W., Kappenman, K., and Webb, M., 2013, Shovelnose sturgeon spawning in relation to varying discharge treatments in a Missouri River tributary: River Research and Applications, v. 29, no. 8, p. 1004-1015, https://doi.org/10.1002/rra.2587.","productDescription":"12 p.","startPage":"1004","endPage":"1015","costCenters":[{"id":398,"text":"Montana Cooperative Fishery Research Unit","active":false,"usgs":true}],"links":[{"id":259392,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259379,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.2587","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Montana","otherGeospatial":"Marias River","volume":"29","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-06-18","publicationStatus":"PW","scienceBaseUri":"505b8ee8e4b08c986b318c06","contributors":{"authors":[{"text":"Goodman, B.J.","contributorId":25813,"corporation":false,"usgs":true,"family":"Goodman","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":348541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, C.S.","contributorId":59160,"corporation":false,"usgs":true,"family":"Guy","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":348542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camp, S.L.","contributorId":93320,"corporation":false,"usgs":true,"family":"Camp","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":348543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gardner, W.M.","contributorId":7817,"corporation":false,"usgs":true,"family":"Gardner","given":"W.M.","email":"","affiliations":[],"preferred":false,"id":348539,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kappenman, K.M.","contributorId":13412,"corporation":false,"usgs":true,"family":"Kappenman","given":"K.M.","affiliations":[],"preferred":false,"id":348540,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Webb, M.A.H.","contributorId":102241,"corporation":false,"usgs":true,"family":"Webb","given":"M.A.H.","affiliations":[],"preferred":false,"id":348544,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70038517,"text":"70038517 - 2013 - Sediment redistributed by coastal marsh mosquito ditching in Cape May County, New Jersey, U.S.A.","interactions":[],"lastModifiedDate":"2013-02-07T17:52:33","indexId":"70038517","displayToPublicDate":"2012-07-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Sediment redistributed by coastal marsh mosquito ditching in Cape May County, New Jersey, U.S.A.","docAbstract":"Effects of mosquito ditching on salt marsh sediment budgets have not been quantified for lack of sufficient records, but such information is necessary to provide historical context for current management objectives. We were able to do so in Cape May County New Jersey where Mosquito Extermination Commission records reported 1,493,900 m<sup>3</sup> of spoil redistributed through ditching from1902 to 1974. The amount of spoil redistributed rose to 2,240,850 m<sup>3</sup>&ndash;22,987,800 m<sup>3</sup> overall when ditch cleaning efforts were included. On a 54 km<sup>2</sup> study area, 161,560 m of ditches removed as much as 99,000 m<sup>3</sup> of material. If all such sediment stayed in the system and was deposited in open water, it would have added 0.082 mm/yr to those areas. If the sediments had accumulated only in the larger water bodies, it would have been sufficient to add 0.16 mm/yr to those areas. Alternatively, if the material had been deposited only on the marsh surface, the material displaced by mosquito ditching was capable of adding only 0.036 mm/yr. These rates are inconsequential in a system infilling at a rate of 4.4&ndash;7.4 mm/yr. Materials released by mosquito ditching thus have added to the sediment budgets of this coastal system, but shoaling of bays and sounds in recent centuries is a consequence of increases in all sediment sources including many of anthropogenic origin. Nonetheless, other consequences of ditching to the marsh (e.g., increased drainage, transport of water, and erosion of ditch banks) are not negligible in consideration of all anthropogenic effects. These data can help parameterize models of salt marsh accretion in the face of climate change.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Coastal Education and Research Foundation (CERF)","publisherLocation":"West Palm Beach, FL","doi":"10.2112/JCOASTRES-D-12-00002.1","usgsCitation":"Kirby, R.E., and Widjeskog, L.E., 2013, Sediment redistributed by coastal marsh mosquito ditching in Cape May County, New Jersey, U.S.A.: Journal of Coastal Research, v. 29, no. 1, p. 86-93, https://doi.org/10.2112/JCOASTRES-D-12-00002.1.","productDescription":"8 p.","startPage":"86","endPage":"93","costCenters":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"links":[{"id":259331,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264113,"type":{"id":15,"text":"Index Page"},"url":"https://jcronline.org/doi/abs/10.2112/JCOASTRES-D-12-00002.1"},{"id":267143,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/JCOASTRES-D-12-00002.1"}],"country":"United States","state":"New Jersey","county":"Cape May County","volume":"29","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b89aee4b08c986b316e69","contributors":{"authors":[{"text":"Kirby, Ronald E. ronald_kirby@usgs.gov","contributorId":195,"corporation":false,"usgs":true,"family":"Kirby","given":"Ronald","email":"ronald_kirby@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":464495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Widjeskog, Lee E.","contributorId":85024,"corporation":false,"usgs":true,"family":"Widjeskog","given":"Lee","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":464496,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70004042,"text":"70004042 - 2013 - Predicted macroinvertebrate response to water diversion from a montane stream using two-dimensional hydrodynamic models and zero flow approximation","interactions":[],"lastModifiedDate":"2013-03-04T20:10:55","indexId":"70004042","displayToPublicDate":"2012-07-30T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Predicted macroinvertebrate response to water diversion from a montane stream using two-dimensional hydrodynamic models and zero flow approximation","docAbstract":"We used two-dimensional hydrodynamic models for the assessment of water diversion effects on benthic macroinvertebrates and associated habitat in a montane stream in Yosemite National Park, Sierra Nevada Mountains, CA, USA. We sampled the macroinvertebrate assemblage via Surber sampling, recorded detailed measurements of bed topography and flow, and coupled a two-dimensional hydrodynamic model with macroinvertebrate indicators to assess habitat across a range of low flows in 2010 and representative past years. We also made zero flow approximations to assess response of fauna to extreme conditions. The fauna of this montane reach had a higher percentage of Ephemeroptera, Plecoptera, and Trichoptera (%EPT) than might be expected given the relatively low faunal diversity of the study reach. The modeled responses of wetted area and area-weighted macroinvertebrate metrics to decreasing discharge indicated precipitous declines in metrics as flows approached zero. Changes in area-weighted metrics closely approximated patterns observed for wetted area, i.e., area-weighted invertebrate metrics contributed relatively little additional information above that yielded by wetted area alone. Loss of habitat area in this montane stream appears to be a greater threat than reductions in velocity and depth or changes in substrate, and the modeled patterns observed across years support this conclusion. Our models suggest that step function losses of wetted area may begin when discharge in the Merced falls to 0.02 m<sup>3</sup>/s; proportionally reducing diversions when this threshold is reached will likely reduce impacts in low flow years.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Indicators","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.ecolind.2012.03.005","usgsCitation":"Holmquist, J.G., and Waddle, T.J., 2013, Predicted macroinvertebrate response to water diversion from a montane stream using two-dimensional hydrodynamic models and zero flow approximation: Ecological Indicators, v. 28, p. 115-124, https://doi.org/10.1016/j.ecolind.2012.03.005.","productDescription":"10 p.","startPage":"115","endPage":"124","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":474072,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/97d660jq","text":"External Repository"},{"id":259272,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259258,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolind.2012.03.005","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Yosemite National Park;Sierra Nevada Mountains","volume":"28","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8195e4b0c8380cd7b5e1","contributors":{"authors":[{"text":"Holmquist, Jeffrey G.","contributorId":77786,"corporation":false,"usgs":true,"family":"Holmquist","given":"Jeffrey","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":350285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, Terry J.","contributorId":43430,"corporation":false,"usgs":true,"family":"Waddle","given":"Terry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":350284,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043759,"text":"70043759 - 2013 - Vegetation dynamics in response to water inflow rates and fire in a brackish Typha domingensis Pers. marsh in the delta of the Colorado River, Mexico","interactions":[],"lastModifiedDate":"2025-12-11T21:37:21.313667","indexId":"70043759","displayToPublicDate":"2012-07-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Vegetation dynamics in response to water inflow rates and fire in a brackish <i>Typha domingensis</i> Pers. marsh in the delta of the Colorado River, Mexico","title":"Vegetation dynamics in response to water inflow rates and fire in a brackish Typha domingensis Pers. marsh in the delta of the Colorado River, Mexico","docAbstract":"<p><span>The Cienega de Santa Clara is a 5600</span><span>&nbsp;</span><span>ha, anthropogenic wetland in the delta of the Colorado River in&nbsp;Mexico. It is the inadvertent creation of the disposal of brackish agricultural waste water from the&nbsp;U.S.&nbsp;into the&nbsp;intertidal zone&nbsp;of the&nbsp;river delta&nbsp;in Mexico, but has become an internationally important wetland for resident and migratory water birds. We used high resolution&nbsp;Quickbird&nbsp;and WorldView-2 images to produce seasonal vegetation maps of the Cienega before, during and after a test run of the Yuma Desalting Plant, which will remove water from the inflow stream and replace it with brine. We also used moderate resolution, 16-day composite&nbsp;NDVI&nbsp;imagery from the&nbsp;Moderate Resolution Imaging Spectrometer&nbsp;(MODIS) sensors on the&nbsp;Terra satellite&nbsp;to determine the main factors controlling green vegetation density over the years 2000–2011. The marsh is dominated by&nbsp;</span><span><i>Typha domingensis</i></span><span>&nbsp;Pers. with&nbsp;</span><span><i>Phragmites australis</i></span><span>&nbsp;(Cav.) Trin. Ex Steud. as a sub-dominant species in shallower marsh areas. The most important factor controlling vegetation density was fire. Spring fires in 2006 and 2011 were followed by much more rapid green-up of&nbsp;</span><i>T. domingensis</i><span>&nbsp;in late spring and 30% higher peak summer&nbsp;NDVI&nbsp;values compared to non-fire years (</span><i>P</i><span>&nbsp;</span><span>&lt;</span><span>&nbsp;</span><span>0.001). Fires removed&nbsp;thatch&nbsp;and returned nutrients to the water, resulting in more vigorous vegetation growth compared to non-fire years. The second significant (</span><i>P</i><span>&nbsp;</span><span>&lt;</span><span>&nbsp;</span><span>0.01) factor controlling NDVI was flow rate of agricultural drain water from the U.S. into the marsh. Reduced summer flows in 2001 due to canal repairs, and in 2010 during the YDP test run, produced the two lowest NDVI values of the time series from 2000 to 2011 (</span><i>P</i><span>&nbsp;</span><span>&lt;</span><span>&nbsp;</span><span>0.05).&nbsp;Salinity&nbsp;is a further determinant of&nbsp;vegetation dynamics&nbsp;as determined by greenhouse experiments, but was nearly constant over the period 2000–2011, so it was not a significant variable in regression analyses. It is concluded that any reduction in inflow volumes will result in a linear decrease in green foliage density in the marsh.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2012.06.046","usgsCitation":"Mexicano, L., Nagler, P.L., Zamora-Arroyo, F., and Glenn, E.P., 2013, Vegetation dynamics in response to water inflow rates and fire in a brackish Typha domingensis Pers. marsh in the delta of the Colorado River, Mexico: Ecological Engineering, v. 59, p. 167-175, https://doi.org/10.1016/j.ecoleng.2012.06.046.","productDescription":"9 p.","startPage":"167","endPage":"175","ipdsId":"IP-039027","costCenters":[{"id":558,"text":"Sonoran Desert Research Station","active":false,"usgs":true}],"links":[{"id":272866,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","volume":"59","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a5d1f1e4b0605bc571f031","contributors":{"authors":[{"text":"Mexicano, Lourdes","contributorId":91773,"corporation":false,"usgs":true,"family":"Mexicano","given":"Lourdes","email":"","affiliations":[],"preferred":false,"id":474222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":474219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zamora-Arroyo, Francisco","contributorId":75834,"corporation":false,"usgs":true,"family":"Zamora-Arroyo","given":"Francisco","email":"","affiliations":[],"preferred":false,"id":474221,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glenn, Edward P.","contributorId":19289,"corporation":false,"usgs":true,"family":"Glenn","given":"Edward","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":474220,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042302,"text":"sir20125190 - 2013 - Evaluation of potential sources and transport mechanisms of fecal indicator bacteria to beach water, Murphy Park Beach, Door County, Wisconsin","interactions":[],"lastModifiedDate":"2018-09-12T16:42:35","indexId":"sir20125190","displayToPublicDate":"2012-01-03T00:00:00","publicationYear":"2013","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":"2012-5190","title":"Evaluation of potential sources and transport mechanisms of fecal indicator bacteria to beach water, Murphy Park Beach, Door County, Wisconsin","docAbstract":"<p>Fecal Indicator Bacteria (FIB) concentrations in beach water have been used for many years as a criterion for closing beaches due to potential health concerns. Yet, current understanding of sources and transport mechanisms that drive FIB occurrence remains insufficient for accurate prediction of closures at many beaches. Murphy Park Beach, a relatively pristine beach on Green Bay in Door County, Wis., was selected for a study to evaluate FIB sources and transport mechanisms. Although the relatively pristine nature of the beach yielded no detection of pathogenic bacterial genes and relatively low FIB concentrations during the study period compared with other Great Lakes Beaches, its selection limited the number of confounding FIB sources and associated transport mechanisms. The primary sources of FIB appear to be internal to the beach rather than external sources such as rivers, storm sewer outfalls, and industrial discharges. Three potential FIB sources were identified: sand, swash-zone groundwater, and <i>Cladophora</i> mats. Modest correlations between FIB concentrations in these potential source reservoirs and FIB concentrations at the beach from the same day illustrate the importance of understanding transport mechanisms between FIB sources and the water column. One likely mechanism for transport and dispersion of FIB from sand and <i>Cladophora</i> sources appears to be agitation of <i>Cladophora</i> mats and erosion of beach sand due to storm activity, as inferred from storm indicators including turbidity, wave height, current speed, wind speed, sky visibility, 24-hour precipitation, and suspended particulate concentration. FIB concentrations in beach water had a statistically significant relation (p-value &lsaquo;0.05) with the magnitude of these storm indicators. In addition, transport of FIB in swash-zone groundwater into beach water appears to be driven by groundwater recharge associated with multiday precipitation and corresponding increased swash-zone groundwater discharge at the beach, as indicated by an increase in the specific conductance of beach water. Understanding the dynamics of FIB sources (sand, swash-zone groundwater, and <i>Cladophora</i>) and transport mechanisms (dispersion and erosion from storm energy, and swash-zone groundwater discharge) is important for improving predictions of potential health risks from FIB in beach water.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125190","collaboration":"Prepared in collaboration with the Door County Soil and Water Conservation Department and University of Wisconsin-Oshkosh","usgsCitation":"Juckem, P.F., Corsi, S., McDermott, C., Kleinheinz, G., Fogarty, L., Haack, S.K., and Johnson, H., 2013, Evaluation of potential sources and transport mechanisms of fecal indicator bacteria to beach water, Murphy Park Beach, Door County, Wisconsin: U.S. Geological Survey Scientific Investigations Report 2012-5190, vi, 29 p., https://doi.org/10.3133/sir20125190.","productDescription":"vi, 29 p.","numberOfPages":"29","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":265028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5190.jpg"},{"id":265027,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5190/pdf/sir2012-5190_web.pdf"},{"id":265026,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5190/"}],"country":"United States","state":"Wisconsin","county":"Door","otherGeospatial":"Murphy Park 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Center","active":true,"usgs":true}],"preferred":true,"id":471231,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Heather E.","contributorId":207837,"corporation":false,"usgs":false,"family":"Johnson","given":"Heather E.","affiliations":[{"id":12456,"text":"former USGS scientist","active":true,"usgs":false},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":744845,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70003589,"text":"70003589 - 2013 - Macroinvertebrate response to flow changes in a subalpine stream: predictions from two-dimensional hydrodynamic models","interactions":[],"lastModifiedDate":"2013-03-18T13:01:35","indexId":"70003589","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Macroinvertebrate response to flow changes in a subalpine stream: predictions from two-dimensional hydrodynamic models","docAbstract":"Two-dimensional hydrodynamic models are being used increasingly as alternatives to traditional one-dimensional instream flow methodologies for assessing adequacy of flow and associated faunal habitat. Two-dimensional modelling of habitat has focused primarily on fishes, but fish-based assessments may not model benthic macroinvertebrate habitat effectively. We extend two-dimensional techniques to a macroinvertebrate assemblage in a high-elevation stream in the Sierra Nevada (Dana Fork of the Tuolumne River, Yosemite National Park, CA, USA). This stream frequently flows at less than 0.03?m<sup>3</sup>?s<sup>?1</sup> in late summer and is representative of a common water abstraction scenario: maximum water abstraction coinciding with seasonally low flows. We used two-dimensional modelling to predict invertebrate responses to reduced flows that might result from increased abstraction. We collected site-specific field data on the macroinvertebrate assemblage, bed topography and flow conditions and then coupled a two-dimensional hydrodynamic model with macroinvertebrate indices to evaluate habitat across a range of low flows. Macroinvertebrate indices were calculated for the wetted area at each flow. A surrogate flow record based on an adjacent watershed was used to evaluate frequency and duration of low flow events. Using surrogate historical records, we estimated that flow should fall below 0.071?m<sup>3</sup>?s<sup>?1</sup> at least 1?day in 82 of 95?years and below 0.028?m<sup>3</sup>?s<sup>?1</sup> in 48 of 95?years. Invertebrate metric means indicated minor losses in response to modelled discharge reductions, but wetted area decreased substantially. Responses of invertebrates to water abstraction will likely be a function of changing habitat quantity rather than quality.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/rra.1607","usgsCitation":"Waddle, T., and Holmquist, J., 2013, Macroinvertebrate response to flow changes in a subalpine stream: predictions from two-dimensional hydrodynamic models: River Research and Applications, v. 29, no. 3, p. 366-379, https://doi.org/10.1002/rra.1607.","productDescription":"14 p.","startPage":"366","endPage":"379","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":474075,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/11t699gg","text":"External Repository"},{"id":259234,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259229,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.1607","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada;Tuolumne River;Yosemite National Park;Dana Fork","volume":"29","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-11-21","publicationStatus":"PW","scienceBaseUri":"505a4b1ee4b0c8380cd692d7","contributors":{"authors":[{"text":"Waddle, T.J.","contributorId":90240,"corporation":false,"usgs":true,"family":"Waddle","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":347850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holmquist, J.G.","contributorId":53643,"corporation":false,"usgs":true,"family":"Holmquist","given":"J.G.","email":"","affiliations":[],"preferred":false,"id":347849,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70006253,"text":"70006253 - 2013 - Past and predicted future changes in the land cover of the Upper Mississippi River floodplain, USA","interactions":[],"lastModifiedDate":"2013-06-17T08:44:10","indexId":"70006253","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Past and predicted future changes in the land cover of the Upper Mississippi River floodplain, USA","docAbstract":"This study provides one historical and two alternative future contexts for evaluating land cover modifications within the Upper Mississippi River (UMR) floodplain. Given previously documented changes in land use, river engineering, restoration efforts and hydro-climatic changes within the UMR basin and floodplain, we wanted to know which of these changes are the most important determinants of current and projected future floodplain land cover. We used Geographic Information System data covering approximately 37% of the UMR floodplain (3232 km<sup>2</sup>) for ca 1890 (pre-lock and dam) and three contemporary periods (1975, 1989 and 2000) across which river restoration actions have increased and hydro-climatic changes have occurred. We further developed two 50-year future scenarios from the spatially dependent land cover transitions that occurred from 1975 to 1989 (scenario A) and from 1989 to 2000 (scenario B) using Markov models.Land cover composition of the UMR did not change significantly from 1975 to 2000, indicating that current land cover continues to reflect historical modifications that support agricultural production and commercial navigation despite some floodplain restoration efforts and variation in river discharge. Projected future land cover composition based on scenario A was not significantly different from the land cover for 1975, 1989 or 2000 but was different from the land cover of scenario B, which was also different from all other periods. Scenario B forecasts transition of some forest and marsh habitat to open water by the year 2050 for some portions of the northern river and projects that some agricultural lands will transition to open water in the southern portion of the river. Future floodplain management and restoration planning efforts in the UMR should consider the potential consequences of continued shifts in hydro-climatic conditions that may occur as a result of climate change and the potential effects on floodplain land cover.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/rra.1615","usgsCitation":"De Jager, N., Rohweder, J., and Nelson, J., 2013, Past and predicted future changes in the land cover of the Upper Mississippi River floodplain, USA: River Research and Applications, p. 608-618, https://doi.org/10.1002/rra.1615.","productDescription":"11 p.","startPage":"608","endPage":"618","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":259267,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259255,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.1615","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Illinois;Iowa;Minnesota;Missouri;Wisconsin","otherGeospatial":"Upper Mississippi River Floodplain","noUsgsAuthors":false,"publicationDate":"2011-12-08","publicationStatus":"PW","scienceBaseUri":"505a7581e4b0c8380cd77bae","contributors":{"authors":[{"text":"De Jager, N. R.","contributorId":72610,"corporation":false,"usgs":true,"family":"De Jager","given":"N. R.","affiliations":[],"preferred":false,"id":354154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rohweder, J.J.","contributorId":86176,"corporation":false,"usgs":true,"family":"Rohweder","given":"J.J.","affiliations":[],"preferred":false,"id":354155,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, J.C.","contributorId":102594,"corporation":false,"usgs":true,"family":"Nelson","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":354156,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70156808,"text":"70156808 - 2013 - Euryhalinity in an evolutionary context","interactions":[],"lastModifiedDate":"2015-08-28T11:11:36","indexId":"70156808","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Euryhalinity in an evolutionary context","docAbstract":"<p><span>This chapter focuses on the evolutionary importance and taxonomic distribution of euryhalinity. Euryhalinity refers to broad halotolerance and broad halohabitat distribution. Salinity exposure experiments have demonstrated that species vary tenfold in their range of tolerable salinity levels, primarily because of differences in upper limits. Halotolerance breadth varies with the species&rsquo; evolutionary history, as represented by its ordinal classification, and with the species&rsquo; halohabitat. Freshwater and seawater species tolerate brackish water; their empirically-determined fundamental haloniche is broader than their realized haloniche, as revealed by the halohabitats they occupy. With respect to halohabitat distribution, a minority of species (&lt;10%) are euryhaline. Habitat-euryhalinity is prevalent among basal actinopterygian fishes, is largely absent from orders arising from intermediate nodes, and reappears in the most derived taxa. There is pronounced family-level variability in the tendency to be halohabitat-euryhaline, which may have arisen during a burst of diversification following the Cretaceous-Palaeogene extinction. Low prevalence notwithstanding, euryhaline species are potent sources of evolutionary diversity. Euryhalinity is regarded as a key innovation trait whose evolution enables exploitation of new adaptive zone, triggering cladogenesis. We review phylogenetically-informed studies that demonstrate freshwater species diversifying from euryhaline ancestors through processes such as landlocking. These studies indicate that some euryhaline taxa are particularly susceptible to changes in halohabitat and subsequent diversification, and some geographic regions have been hotspots for transitions to freshwater. Comparative studies on mechanisms among multiple taxa and at multiple levels of biological integration are needed to clarify evolutionary pathways to, and from, euryhalinity.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Euryhaline fishes","language":"English","publisher":"Academic Press","doi":"10.1016/B978-0-12-396951-4.00010-4","usgsCitation":"Schultz, E.T., and McCormick, S., 2013, Euryhalinity in an evolutionary context, chap. <i>of</i> Euryhaline fishes, v. 32, p. 477-553, https://doi.org/10.1016/B978-0-12-396951-4.00010-4.","productDescription":"76 p.","startPage":"477","endPage":"553","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":307677,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e1862fe4b05561fa206aac","contributors":{"editors":[{"text":"McCormick, Stephen D. 0000-0003-0621-6200","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":84678,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen D.","affiliations":[],"preferred":false,"id":570614,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Farrell, Anthony Peter","contributorId":112579,"corporation":false,"usgs":true,"family":"Farrell","given":"Anthony","email":"","middleInitial":"Peter","affiliations":[],"preferred":false,"id":570615,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Brauner, Colin J.","contributorId":113839,"corporation":false,"usgs":true,"family":"Brauner","given":"Colin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":570616,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Schultz, Eric T.","contributorId":14289,"corporation":false,"usgs":true,"family":"Schultz","given":"Eric","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":570612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCormick, Stephen D. 0000-0003-0621-6200","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":84678,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen D.","affiliations":[],"preferred":false,"id":570613,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039827,"text":"70039827 - 2013 - Specific ultra-violet absorbance as an indicator measurement of merucry sources in an Adirondack River basin","interactions":[],"lastModifiedDate":"2013-04-20T19:13:54","indexId":"70039827","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Specific ultra-violet absorbance as an indicator measurement of merucry sources in an Adirondack River basin","docAbstract":"The Adirondack region of New York has been identified as a hot spot where high methylmercury concentrations are found in surface waters and biota, yet mercury (Hg) concentrations vary widely in this region. We collected stream and groundwater samples for Hg and organic carbon analyses across the upper Hudson River, a 493 km<sup>2</sup> basin in the central Adirondacks to evaluate and model the sources of variation in filtered total Hg (FTHg) concentrations. Variability in FTHg concentrations during the growing seasons (May-Oct) of 2007-2009 in Fishing Brook, a 66-km<sup>2</sup> sub-basin, was better explained by specific ultra-violet absorbance at 254 nm (SUVA<sub>254</sub>), a measure of organic carbon aromaticity, than by dissolved organic carbon (DOC) concentrations, a commonly used Hg indicator. SUVA<sub>254</sub> was a stronger predictor of FTHg concentrations during the growing season than during the dormant season. Multiple linear regression models that included SUVA<sub>254</sub> values and DOC concentrations could explain 75 % of the variation in FTHg concentrations on an annual basis and 84 % during the growing season. A multiple linear regression landscape modeling approach applied to 27 synoptic sites across the upper Hudson basin found that higher SUVA<sub>254</sub> values are associated with gentler slopes, and greater riparian area, and lower SUVA<sub>254</sub> values are associated with an increasing influence of open water. We hypothesize that the strong Hg?SUVA<sub>254</sub> relation in this basin reflects distinct patterns of FTHg and SUVA<sub>254</sub> that are characteristic of source areas that control the mobilization of Hg to surface waters, and that the seasonal influence of these source areas varies in this heterogeneous basin landscape.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biogeochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10533-012-9773-5","usgsCitation":"Burns, D.A., Aiken, G.R., Bradley, P.M., Journey, C.A., and Schelker, J., 2013, Specific ultra-violet absorbance as an indicator measurement of merucry sources in an Adirondack River basin: Biogeochemistry, v. 113, no. 1-3, p. 451-466, https://doi.org/10.1007/s10533-012-9773-5.","productDescription":"16","startPage":"451","endPage":"466","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":474074,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10533-012-9773-5","text":"Publisher Index Page"},{"id":261703,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":261702,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10533-012-9773-5","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","otherGeospatial":"Adirondack River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.8,40.5 ], [ -79.8,45.0 ], [ -71.9,45.0 ], [ -71.9,40.5 ], [ -79.8,40.5 ] ] ] } } ] }","volume":"113","issue":"1-3","noUsgsAuthors":false,"publicationDate":"2012-08-09","publicationStatus":"PW","scienceBaseUri":"505b9522e4b08c986b31ad66","contributors":{"authors":[{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":467003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":2617,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":467004,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schelker, Jakob","contributorId":101530,"corporation":false,"usgs":true,"family":"Schelker","given":"Jakob","email":"","affiliations":[],"preferred":false,"id":467005,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70005548,"text":"70005548 - 2013 - Are two systemic fish assemblage sampling programmes on the upper Mississippi River telling us the same thing?","interactions":[],"lastModifiedDate":"2013-02-07T17:54:08","indexId":"70005548","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Are two systemic fish assemblage sampling programmes on the upper Mississippi River telling us the same thing?","docAbstract":"We applied an Index of Biotic Integrity (IBI) used on Wisconsin/Minnesota waters of the upper Mississippi River (UMR) to compare data from two systemic sampling programmes. Ability to use data from multiple sampling programmes could extend spatial and temporal coverage of river assessment and monitoring efforts. We normalized for effort and tested fish community data collected by the Environmental Monitoring and Assessment Program-Great Rivers Ecosystems (EMAP-GRE) 2004&ndash;2006 and the Long Term Resource Monitoring Program (LTRMP) 1993&ndash;2006. Each programme used daytime electrofishing along main channel borders but with some methodological and design differences. EMAP-GRE, designed for baseline and, eventually, compliance monitoring, used a probabilistic, continuous design. LTRMP, designed primarily for baseline and trend monitoring, used a stratified random design in five discrete study reaches. Analysis of similarity indicated no significant difference between EMAP-GRE and LTRMP IBI scores (<i>n</i>=238; Global <i>R</i>= 0.052; significance level=0.972). Both datasets distinguished clear differences only between 'Fair' and 'Poor' condition categories, potentially supporting a 'pass&ndash;fail' assessment strategy. Thirteen years of LTRMP data demonstrated stable IBI scores through time in four of five reaches sampled. LTRMP and EMAPGRE IBI scores correlated along the UMR's upstream to downstream gradient (df [3, 25]; <i>F</i>=1.61; <i>p</i>=0.22). A decline in IBI scores from upstream to downstream was consistent with UMR fish community studies and a previous, empirically modelled human disturbance gradient. Comparability between EMAP-GRE (best upstream to downstream coverage) and LTRMP data (best coverage over time and across the floodplain) supports a next step of developing and testing a systemic, multi-metric fish index on the UMR that both approaches could inform.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/rra.1575","usgsCitation":"Dukerschein, J., Bartels, A., Ickes, B., and Pearson, M., 2013, Are two systemic fish assemblage sampling programmes on the upper Mississippi River telling us the same thing?: River Research and Applications, v. 29, no. 1, p. 79-89, https://doi.org/10.1002/rra.1575.","productDescription":"11 p.","startPage":"79","endPage":"89","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":259089,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259088,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.1575","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Illinois;Iowa;Minnesota;Missouri;Wisconsin","volume":"29","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-09-02","publicationStatus":"PW","scienceBaseUri":"5059ed62e4b0c8380cd497a9","contributors":{"authors":[{"text":"Dukerschein, J.T.","contributorId":56501,"corporation":false,"usgs":true,"family":"Dukerschein","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":352766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartels, A.D.","contributorId":81841,"corporation":false,"usgs":true,"family":"Bartels","given":"A.D.","email":"","affiliations":[],"preferred":false,"id":352767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ickes, B.S. 0000-0001-5622-3842","orcid":"https://orcid.org/0000-0001-5622-3842","contributorId":39332,"corporation":false,"usgs":true,"family":"Ickes","given":"B.S.","affiliations":[],"preferred":false,"id":352765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearson, M.S.","contributorId":91735,"corporation":false,"usgs":true,"family":"Pearson","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":352768,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":97248,"text":"tm3A22 - 2013 - Measuring discharge with acoustic Doppler current profilers from a moving boat","interactions":[],"lastModifiedDate":"2014-03-06T11:34:27","indexId":"tm3A22","displayToPublicDate":"2009-01-28T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3-A22","title":"Measuring discharge with acoustic Doppler current profilers from a moving boat","docAbstract":"The use of acoustic Doppler current profilers (ADCPs) from a moving boat is now a commonly used method for measuring streamflow. The technology and methods for making ADCP-based discharge measurements are different from the technology and methods used to make traditional discharge measurements with mechanical meters. Although the ADCP is a valuable tool for measuring streamflow, it is only accurate when used with appropriate techniques. This report presents guidance on the use of ADCPs for measuring streamflow; this guidance is based on the experience of U.S. Geological Survey employees and published reports, papers, and memorandums of the U.S. Geological Survey. The guidance is presented in a logical progression, from predeployment planning, to field data collection, and finally to post processing of the collected data. Acoustic Doppler technology and the instruments currently (2013) available also are discussed to highlight the advantages and limitations of the technology. More in-depth, technical explanations of how an ADCP measures streamflow and what to do when measuring in moving-bed conditions are presented in the appendixes. ADCP users need to know the proper procedures for measuring discharge from a moving boat and why those procedures are required, so that when the user encounters unusual field conditions, the procedures can be adapted without sacrificing the accuracy of the streamflow-measurement data.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Surface-water techniques in Book 3 <i>Applications of Hydraulics</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm3A22","collaboration":"This report is Chapter 22 of Section A: Surface-water techniques in Book 3 <i>Applications of Hydraulics</i>.","usgsCitation":"Mueller, D.S., Wagner, C., Rehmel, M.S., Oberg, K.A., and Rainville, F., 2013, Measuring discharge with acoustic Doppler current profilers from a moving boat (First posted January 22, 2009; Revised February 26, 2009; Version 2.0: March 5, 2014): U.S. Geological Survey Techniques and Methods 3-A22, xvi, 95 p., https://doi.org/10.3133/tm3A22.","productDescription":"xvi, 95 p.","numberOfPages":"116","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":283413,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm3A22.jpg"},{"id":12298,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/3a22/","linkFileType":{"id":5,"text":"html"}},{"id":283412,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/3a22/pdf/tm3a22.pdf"}],"edition":"First posted January 22, 2009; Revised February 26, 2009; Version 2.0: March 5, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a28e4b07f02db61135e","contributors":{"authors":[{"text":"Mueller, David S. dmueller@usgs.gov","contributorId":1499,"corporation":false,"usgs":true,"family":"Mueller","given":"David","email":"dmueller@usgs.gov","middleInitial":"S.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":301484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Chad R. 0000-0002-9602-7413 cwagner@usgs.gov","orcid":"https://orcid.org/0000-0002-9602-7413","contributorId":1530,"corporation":false,"usgs":true,"family":"Wagner","given":"Chad R.","email":"cwagner@usgs.gov","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":301485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rehmel, Michael S. msrehmel@usgs.gov","contributorId":3723,"corporation":false,"usgs":true,"family":"Rehmel","given":"Michael","email":"msrehmel@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":301486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oberg, Kevin A. kaoberg@usgs.gov","contributorId":928,"corporation":false,"usgs":true,"family":"Oberg","given":"Kevin","email":"kaoberg@usgs.gov","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":301483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rainville, Francois","contributorId":59895,"corporation":false,"usgs":true,"family":"Rainville","given":"Francois","email":"","affiliations":[],"preferred":false,"id":301487,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040577,"text":"ds728 - 2012 - Temperature logging of groundwater in bedrock wells for geothermal gradient characterization in New Hampshire, 2012","interactions":[],"lastModifiedDate":"2020-11-03T15:28:31.701869","indexId":"ds728","displayToPublicDate":"2020-11-03T10:35:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"728","title":"Temperature logging of groundwater in bedrock wells for geothermal gradient characterization in New Hampshire, 2012","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the New Hampshire Geological Survey, measured the fluid temperature of groundwater in deep bedrock wells in the State of New Hampshire in order to characterize geothermal gradients in bedrock. All wells selected for the study had low water yields, which correspond to low groundwater flow from fractures. This reduced the potential for flow-induced temperature changes that would mask the natural geothermal gradient in the bedrock. All the wells included in this study were privately owned, and permission to use the wells was obtained from homeowners before logging.</p>\n<p>Maximum groundwater temperatures at the bottom of the logs were between 11.7 and 17.3 degrees Celsius. Geothermal gradients were generally higher than typically reported for other water wells in the United States. Some of the high gradients were associated with high natural gamma emissions. Groundwater flow was discernible in 5 of the 10 wells studied but only obscured the portion of the geothermal gradient signal where groundwater actually flowed through the well. Temperature gradients varied by mapped bedrock type but can also vary by differences in mineralogy or rock type within the wells.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds728","collaboration":"Prepared in cooperation with the New Hampshire Geological Survey","usgsCitation":"Degnan, J., Barker, G., Olson, N., and Wilder, L., 2012, Temperature logging of groundwater in bedrock wells for geothermal gradient characterization in New Hampshire, 2012: U.S. Geological Survey Data Series 728, Report: vi; 19 p.; Temperature and gamma geophysical logs, https://doi.org/10.3133/ds728.","productDescription":"Report: vi; 19 p.; Temperature and gamma geophysical logs","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":262893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_728.gif"},{"id":262891,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/728/pdf/ds728_report_508.pdf","text":"Report","size":"2.98 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":262892,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/728/logs.html","text":"Temperature and gamma geophysical logs.","linkFileType":{"id":5,"text":"html"}},{"id":262890,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/728/"}],"country":"United States","state":"New 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,{"id":70038739,"text":"70038739 - 2012 - Extreme floods in the Black Hills area: New insights from recent research","interactions":[],"lastModifiedDate":"2019-04-25T09:30:58","indexId":"70038739","displayToPublicDate":"2019-04-24T15:42:26","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Extreme floods in the Black Hills area: New insights from recent research","docAbstract":"Recent research provides clear geologic evidence that floods even larger than the lethal floods of 1972 have occurred repeatedly over recent millennia in the Black Hills of South Dakota. This information is vitally important for planning for flash flood events in this area.","publisherLocation":"Reston, VA","usgsCitation":"2012, Extreme floods in the Black Hills area: New insights from recent research.","ipdsId":"IP-038367","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":363199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","noUsgsAuthors":false,"publicationStatus":"PW"}
,{"id":70203116,"text":"twri09A6.8 - 2012 - Chapter A6. Section 6.8.  Use of multiparameter instruments for routine field measurements","interactions":[{"subject":{"id":70203116,"text":"twri09A6.8 - 2012 - Chapter A6. Section 6.8.  Use of multiparameter instruments for routine field measurements","indexId":"twri09A6.8","publicationYear":"2012","noYear":false,"displayTitle":"Chapter A6. Section 6.8. Use of Multiparameter Instruments for Routine Field Measurements","title":"Chapter A6. Section 6.8.  Use of multiparameter instruments for routine field measurements"},"predicate":"SUPERSEDED_BY","object":{"id":70250098,"text":"tm9A6.8 - 2023 - Use of multiparameter instruments for routine field measurements","indexId":"tm9A6.8","publicationYear":"2023","noYear":false,"title":"Use of multiparameter instruments for routine field measurements"},"id":1}],"supersededBy":{"id":70250098,"text":"tm9A6.8 - 2023 - Use of multiparameter instruments for routine field measurements","indexId":"tm9A6.8","publicationYear":"2023","noYear":false,"title":"Use of multiparameter instruments for routine field measurements"},"lastModifiedDate":"2023-11-28T20:27:15.012999","indexId":"twri09A6.8","displayToPublicDate":"2019-04-24T10:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":336,"text":"Techniques of Water-Resources Investigations","code":"TWRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"09-A6.8","displayTitle":"Chapter A6. Section 6.8. Use of Multiparameter Instruments for Routine Field Measurements","title":"Chapter A6. Section 6.8.  Use of multiparameter instruments for routine field measurements","docAbstract":"<p>The miniaturization of sensors and other technological advances in electronics have resulted in water-quality instruments that house multiple sensors capable of simultaneous readings for various field measurements in environmental waters. With the use of these multiparameter instruments, field measurements can be determined with considerable reduction in the field work that generally is required when using multiple single-parameter instruments. This section addresses the short-term or discrete-measurement use of portable multiparameter instruments. Each chapter of the National Field Manual is published separately and revised periodically. Newly published and revised chapters will be announced on the USGS Home Page on the World Wide Web under 'New Publications of the U.S. Geological Survey.'</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/twri09A6.8","usgsCitation":"Gibs, J., Wilde, F., and Heckathorn, H.A., 2012, Chapter A6. Section 6.8.  Use of multiparameter instruments for routine field measurements: U.S. Geological Survey Techniques of Water-Resources Investigations 09-A6.8, 48 p., https://doi.org/10.3133/twri09A6.8.","productDescription":"48 p.","numberOfPages":"48","costCenters":[],"links":[{"id":363158,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/twri/twri9a6/twri9a68/coverthb.jpg"},{"id":363696,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/tm9A0","text":"Techniques and Methods 9-AO","linkHelpText":"- General Introduction for the “National Field Manual for the Collection of Water-Quality Data”"},{"id":363131,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a6/twri9a68/twri9a6_6.8.pdf","text":"Report March 2012","size":"1.70 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TWRI 9a6.8"}],"contact":"<p><a href=\"https://www.usgs.gov/mission-areas/water-resources?qt-mission_areas_l2_landing_page_ta=0#qt-mission_areas_l2_landing_page_ta\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources?qt-mission_areas_l2_landing_page_ta=0#qt-mission_areas_l2_landing_page_ta\">Water Mission Area</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p>Email: <a href=\"mailto:nfm@usgs.gov\" data-mce-href=\"mailto:nfm@usgs.gov\">nfm@usgs.gov</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gibs, Jacob jgibs@usgs.gov","contributorId":1729,"corporation":false,"usgs":true,"family":"Gibs","given":"Jacob","email":"jgibs@usgs.gov","affiliations":[],"preferred":true,"id":761317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilde, Franceska D. fwilde@usgs.gov","contributorId":1727,"corporation":false,"usgs":true,"family":"Wilde","given":"Franceska D.","email":"fwilde@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":false,"id":761318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heckathorn, Heather A. haheck@usgs.gov","contributorId":1728,"corporation":false,"usgs":true,"family":"Heckathorn","given":"Heather","email":"haheck@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":761319,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70201698,"text":"70201698 - 2012 - Extended Abstract: Geologic evaluation of regional production trends in the Upper Cretaceous Austin Chalk","interactions":[],"lastModifiedDate":"2019-06-20T08:45:47","indexId":"70201698","displayToPublicDate":"2018-12-21T13:36:55","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5794,"text":"GCAGS Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Extended Abstract: Geologic evaluation of regional production trends in the Upper Cretaceous Austin Chalk","docAbstract":"<p><span>The Upper Cretaceous Austin Chalk, which extends across Texas and Louisiana, is characterized by reservoirs that produce oil, gas, and in some cases, anomalously large amounts of water. Reservoirs typically have low matrix permeability and contain natural fractures. Horizontal drilling has been used to enhance and connect these fracture systems to drain the reservoir more effectively. Although the formation contains continuous (unconventional) reservoirs, it behaves as a hybrid system, wherein varied geologic settings yield both continuous and conventional accumulations.</span></p>","language":"English ","publisher":"Gulf Coast Association of Geological Societies ","usgsCitation":"Pearson, K.M., 2012, Extended Abstract: Geologic evaluation of regional production trends in the Upper Cretaceous Austin Chalk: GCAGS Transactions, v. 62, p. 593-597.","productDescription":"5 p.","startPage":"593","endPage":"597","ipdsId":"IP-037878","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":360701,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360684,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/gcags/data/062/062001/593_gcags620593.htm"}],"country":"United States","state":"Louisiana, Texas","otherGeospatial":"Upper Cretaceous Austin Chalk","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -102.0,24.0 ], [ -102.0,36.5 ], [ -78.0,36.5 ], [ -78.0,24.0 ], [ -102.0,24.0 ] ] ] } } ] }","volume":"62","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1e0a33e4b0708288cb022b","contributors":{"authors":[{"text":"Pearson, Krystal M. kpearson@usgs.gov","contributorId":3861,"corporation":false,"usgs":true,"family":"Pearson","given":"Krystal","email":"kpearson@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":754927,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70182709,"text":"70182709 - 2012 - Relations between altered stramflow variability and fish assemblages in Eastern USA streams","interactions":[],"lastModifiedDate":"2017-02-27T12:24:11","indexId":"70182709","displayToPublicDate":"2017-02-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Relations between altered stramflow variability and fish assemblages in Eastern USA streams","docAbstract":"<p><span>Although altered streamflow has been implicated as a major factor affecting fish assemblages, understanding the extent of streamflow alteration has required quantifying attributes of the natural flow regime. We used predictive models to quantify deviation from expected natural streamflow variability for streams in the eastern USA. Sites with &gt;25% change in mean daily streamflow variability compared with what would be expected in a minimally disturbed environment were defined as having altered streamflow variability, based on the 10th and 90th percentiles of the distribution of streamflow variability at 1279 hydrological reference sites. We also used predictive models to assess fish assemblage condition and native species loss based on the proportion of expected native fish species that were observed. Of the 97 sites, 49 (50.5%) were classified as altered with reduced streamflow variability, whereas no sites had increased streamflow variability. Reduced streamflow variability was related to a 35% loss in native fish species, on average, and a &gt;50% loss of species with a preference for riffle habitats. Conditional probability analysis indicated that the probability of fish assemblage impairment increased as the severity of altered streamflow variability increased. Reservoir storage capacity and wastewater discharges were important predictors of reduced streamflow variability as revealed by random forest analysis. Management and conservation of streams will require careful consideration of natural streamflow variation and potential factors contributing to altered streamflow within the entire watershed to limit the loss of critical stream habitats and fish species uniquely adapted to live in those habitats.</span></p>","language":"English","publisher":"John Wiley & Sons","publisherLocation":"Chichester, West Sussex, UK","doi":"10.1002/rra.1534","usgsCitation":"Meador, M., and Carlisle, D.M., 2012, Relations between altered stramflow variability and fish assemblages in Eastern USA streams: River Research and Applications, v. 28, no. 9, p. 1359-1368, https://doi.org/10.1002/rra.1534.","productDescription":"10 p.","startPage":"1359","endPage":"1368","ipdsId":"IP-023347","costCenters":[{"id":451,"text":"National Water Quality Assessment 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 \"}}]}\n","volume":"28","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2011-05-20","publicationStatus":"PW","scienceBaseUri":"58b548c4e4b01ccd54fddfde","contributors":{"authors":[{"text":"Meador, Michael R. mrmeador@usgs.gov","contributorId":615,"corporation":false,"usgs":true,"family":"Meador","given":"Michael R.","email":"mrmeador@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":673386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":673385,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037941,"text":"70037941 - 2012 - Predicting ecological flow regime at ungaged sites: A comparison of methods","interactions":[],"lastModifiedDate":"2017-01-05T16:10:32","indexId":"70037941","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Predicting ecological flow regime at ungaged sites: A comparison of methods","docAbstract":"<p><span>Nineteen ecologically relevant streamflow characteristics were estimated using published rainfall–runoff and regional regression models for six sites with observed daily streamflow records in Kentucky. The regional regression model produced median estimates closer to the observed median for all but two characteristics. The variability of predictions from both models was generally less than the observed variability. The variability of the predictions from the rainfall–runoff model was greater than that from the regional regression model for all but three characteristics. Eight characteristics predicted by the rainfall–runoff model display positive or negative bias across all six sites; biases are not as pronounced for the regional regression model. Results suggest that a rainfall–runoff model calibrated on a single characteristic is less likely to perform well as a predictor of a range of other characteristics (flow regime) when compared with a regional regression model calibrated individually on multiple characteristics used to represent the flow regime. Poor model performance may misrepresent hydrologic conditions, potentially distorting the perceived risk of ecological degradation. Without prior selection of streamflow characteristics, targeted calibration, and error quantification, the widespread application of general hydrologic models to ecological flow studies is problematic. Published 2012. This article is a U.S. Government work and is in the public domain in the USA.</span></p>","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/rra.2570","usgsCitation":"Murphy, J.C., Knight, R., Wolfe, W., and Gain, W.S., 2012, Predicting ecological flow regime at ungaged sites: A comparison of methods: River Research and Applications, v. 29, no. 5, p. 660-669, https://doi.org/10.1002/rra.2570.","productDescription":"10 p.","startPage":"660","endPage":"669","ipdsId":"IP-033156","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":332936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky, Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.43994140625,\n              37.055177106660814\n            ],\n            [\n              -88.29711914062499,\n              34.97600151317588\n            ],\n            [\n              -86.396484375,\n              34.288991865037524\n            ],\n            [\n              -83.73779296875,\n              34.542762387234845\n            ],\n            [\n              -82.63916015625,\n              35.092945313732635\n            ],\n            [\n              -81.463623046875,\n              37.21283151445594\n            ],\n            [\n              -82.012939453125,\n              37.448696585910376\n            ],\n            [\n              -85.71533203125,\n              37.26530995561875\n            ],\n            [\n              -88.143310546875,\n              37.1165261849112\n            ],\n            [\n              -88.43994140625,\n              37.055177106660814\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"29","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-04-13","publicationStatus":"PW","scienceBaseUri":"586f69a8e4b01a71ba0bc90b","contributors":{"authors":[{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":514105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knight, Rodney R. rrknight@usgs.gov","contributorId":2272,"corporation":false,"usgs":true,"family":"Knight","given":"Rodney R.","email":"rrknight@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":514104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolfe, William J. wjwolfe@usgs.gov","contributorId":1888,"corporation":false,"usgs":true,"family":"Wolfe","given":"William J.","email":"wjwolfe@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":514103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gain, W. Scott wsgain@usgs.gov","contributorId":346,"corporation":false,"usgs":true,"family":"Gain","given":"W.","email":"wsgain@usgs.gov","middleInitial":"Scott","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":514102,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179708,"text":"70179708 - 2012 - Evaluation of Bayesian estimation of a hidden continuous-time Markov chain model with application to threshold violation in water-quality indicators","interactions":[],"lastModifiedDate":"2018-01-10T18:47:51","indexId":"70179708","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5261,"text":"Journal of Environmental Informatics","onlineIssn":"16848799","printIssn":"17262135","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of Bayesian estimation of a hidden continuous-time Markov chain model with application to threshold violation in water-quality indicators","docAbstract":"<p><span>Natural resource managers require information concerning&nbsp;&nbsp;the frequency, duration, and long-term probability of occurrence of water-quality indicator (WQI) violations of defined thresholds. The timing of these threshold crossings often is hidden from the observer, who is restricted to relatively infrequent observations. Here, a model for the hidden process is linked with a model for the observations, and the parameters describing duration, return period, and long-term probability of occurrence are estimated using Bayesian methods. A simulation experiment is performed to evaluate the approach under scenarios based on the equivalent of a total monitoring period of 5-30 years and an observation frequency of 1-50 observations per year. Given constant threshold crossing rate, accuracy and precision of parameter estimates increased with longer total monitoring period and more-frequent observations. Given fixed monitoring period and observation frequency, accuracy and precision of parameter estimates increased with longer times between threshold crossings. For most cases where the long-term probability of being in violation is greater than 0.10, it was determined that at least 600 observations are needed to achieve precise estimates.&nbsp;&nbsp;An application of the approach is presented using 22 years of quasi-weekly observations of acid-neutralizing capacity from Deep Run, a stream in Shenandoah National Park, Virginia. The time series also was sub-sampled to simulate monthly and semi-monthly sampling protocols. Estimates of the long-term probability of violation were unbiased despite sampling frequency; however, the expected duration and return period were over-estimated using the sub-sampled time series with respect to the full quasi-weekly time series.</span></p>","language":"English","publisher":"International Society for Environmental Information Services","doi":"10.3808/jei.201200210","usgsCitation":"Deviney, F.A., Rice, K.C., and Brown, D.E., 2012, Evaluation of Bayesian estimation of a hidden continuous-time Markov chain model with application to threshold violation in water-quality indicators: Journal of Environmental Informatics, v. 19, no. 2, p. 70-78, https://doi.org/10.3808/jei.201200210.","productDescription":"9 p.","startPage":"70","endPage":"78","ipdsId":"IP-023202","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":474079,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3808/jei.201200210","text":"Publisher Index Page"},{"id":333124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5878a491e4b04df303d95820","contributors":{"authors":[{"text":"Deviney, Frank A.","contributorId":22447,"corporation":false,"usgs":true,"family":"Deviney","given":"Frank","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":658364,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rice, Karen C. 0000-0002-9356-5443 kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":178269,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":658362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Donald E.","contributorId":178279,"corporation":false,"usgs":false,"family":"Brown","given":"Donald","email":"","middleInitial":"E.","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":658363,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70179915,"text":"70179915 - 2012 - Groundwater conditions in Utah, spring of 2012","interactions":[],"lastModifiedDate":"2019-05-22T09:25:23","indexId":"70179915","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":110,"text":"Cooperative Investigations Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"53","title":"Groundwater conditions in Utah, spring of 2012","docAbstract":"<p>This is the forty-ninth in a series of annual reports that describe groundwater conditions in Utah. Reports in this series, published cooperatively by the U.S. Geological Survey and the Utah Department of Natural Resources, Division of Water Rights, and the Utah Department of Environmental Quality, Division of Water Quality, provide data to enable interested parties to maintain awareness of changing groundwater conditions. </p><p>This report, like the others in the series, contains information on well construction, groundwater withdrawal from wells, water-level changes, precipitation, streamflow, and chemical quality of water. Information on well construction included in this report refers only to wells constructed for new appropriations of groundwater. Supplementary data are included in reports of this series only for those years or areas that are important to a discussion of changing groundwater conditions and for which applicable data are available.</p><p>This report includes individual discussions of selected significant areas of groundwater development in the State for calendar year 2011. Most of the reported data were collected by the U.S. Geological Survey in cooperation with the Utah Department of Natural Resources, Division of Water Rights, and the Utah Department of Environmental Quality, Division of Water Quality. This report is also available online at http:// www.waterrights.utah.gov/techinfo/ and http://ut.water.usgs. gov/publications/GW2012.pdf. Groundwater conditions in Utah for calendar year 2010 are reported in Burden and others (2011) and available online at http://ut.water.usgs.gov/ publications/GW2011.pdf.</p>","language":"English","publisher":"Utah Department of Natural Resources","publisherLocation":"Salt Lake City, UT","collaboration":"Prepared in cooperation with the Utah Department of Natural Resources, Division of Water Rights, and Utah Department of Environmental Quality, Division of Water Quality","usgsCitation":"Burden, C.B., Allen, D.V., Holt, C.M., Fisher, M.J., Downhour, P., Smith, L., Eacret, R.J., Gibson, T.L., Slaugh, B.A., Whittier, N.R., Howells, J.H., and Christiansen, H.K., 2012, Groundwater conditions in Utah, spring of 2012: Cooperative Investigations Report 53, x, 118 p.","productDescription":"x, 118 p.","numberOfPages":"132","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":364082,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://waterrights.utah.gov/techinfo/wwwpub/GW2012.pdf"},{"id":333546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58833023e4b0d0023163779c","contributors":{"authors":[{"text":"Burden, Carole B. cburden@usgs.gov","contributorId":852,"corporation":false,"usgs":true,"family":"Burden","given":"Carole","email":"cburden@usgs.gov","middleInitial":"B.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":659193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, David V.","contributorId":75989,"corporation":false,"usgs":true,"family":"Allen","given":"David","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":660118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holt, Christopher M.","contributorId":178613,"corporation":false,"usgs":false,"family":"Holt","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":660119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Martel J. mjfisher@usgs.gov","contributorId":4410,"corporation":false,"usgs":true,"family":"Fisher","given":"Martel","email":"mjfisher@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":660120,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Downhour, Paul downhour@usgs.gov","contributorId":968,"corporation":false,"usgs":true,"family":"Downhour","given":"Paul","email":"downhour@usgs.gov","affiliations":[],"preferred":true,"id":660121,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Lincoln","contributorId":178614,"corporation":false,"usgs":false,"family":"Smith","given":"Lincoln","affiliations":[],"preferred":false,"id":660122,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eacret, Robert J. rjeacret@usgs.gov","contributorId":971,"corporation":false,"usgs":true,"family":"Eacret","given":"Robert","email":"rjeacret@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":660123,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gibson, Travis L.","contributorId":178615,"corporation":false,"usgs":false,"family":"Gibson","given":"Travis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":660124,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Slaugh, Bradley A. baslaugh@usgs.gov","contributorId":966,"corporation":false,"usgs":true,"family":"Slaugh","given":"Bradley","email":"baslaugh@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":660125,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Whittier, Nickolas R.","contributorId":178616,"corporation":false,"usgs":false,"family":"Whittier","given":"Nickolas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":660126,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Howells, James H. jhowells@usgs.gov","contributorId":969,"corporation":false,"usgs":true,"family":"Howells","given":"James","email":"jhowells@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":660127,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Christiansen, Howard K.","contributorId":47830,"corporation":false,"usgs":true,"family":"Christiansen","given":"Howard","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":660128,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70179703,"text":"70179703 - 2012 - Acidification of Earth: An assessment across mechanisms and scales","interactions":[],"lastModifiedDate":"2017-01-12T15:02:32","indexId":"70179703","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Acidification of Earth: An assessment across mechanisms and scales","docAbstract":"<p><span>In this review article, anthropogenic activities that cause acidification of Earth’s air, waters, and soils are examined. Although there are many mechanisms of acidification, the focus is on the major ones, including emissions from combustion of fossil fuels and smelting of ores, mining of coal and metal ores, and application of nitrogen fertilizer to soils, by elucidating the underlying biogeochemical reactions as well as assessing the magnitude of the effects. These widespread activities have resulted in (1) increased CO</span><sub>2</sub><span>concentration in the atmosphere that acidifies the oceans; (2) acidic atmospheric deposition that acidifies soils and bodies of freshwater; (3) acid mine drainage that acidifies bodies of freshwater and groundwaters; and (4) nitrification that acidifies soils. Although natural geochemical reactions of mineral weathering and ion exchange work to buffer acidification, the slow reaction rates or the limited abundance of reactant phases are overwhelmed by the onslaught of anthropogenic acid loading. Relatively recent modifications of resource extraction and usage in some regions of the world have begun to ameliorate local acidification, but expanding use of resources in other regions is causing environmental acidification in previously unnoticed places. World maps of coal consumption, Cu mining and smelting, and N fertilizer application are presented to demonstrate the complex spatial heterogeneity of resource consumption as well as the overlap in acidifying potential derived from distinctly different phenomena. Projected population increase by country over the next four decades indicates areas with the highest potential for acidification, so enabling anticipation and planning to offset or mitigate the deleterious environmental effects associated with these global shifts in the consumption of energy, mineral, and food resources.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2011.09.001","usgsCitation":"Rice, K.C., and Herman, J.S., 2012, Acidification of Earth: An assessment across mechanisms and scales: Applied Geochemistry, v. 27, no. 1, https://doi.org/10.1016/j.apgeochem.2011.09.001.","productDescription":"15 p.","startPage":"14","ipdsId":"IP-023200","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":333113,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"1","edition":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5878a492e4b04df303d95824","contributors":{"authors":[{"text":"Rice, Karen C. 0000-0002-9356-5443 kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":178269,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":658347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herman, Janet S.","contributorId":62138,"corporation":false,"usgs":true,"family":"Herman","given":"Janet","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":658348,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70179705,"text":"70179705 - 2012 - Assessment of salinity intrusion in the James and Chickahominy Rivers as a result of simulated sea-level rise in Chesapeake Bay, East Coast, USA","interactions":[],"lastModifiedDate":"2017-01-13T09:12:03","indexId":"70179705","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of salinity intrusion in the James and Chickahominy Rivers as a result of simulated sea-level rise in Chesapeake Bay, East Coast, USA","docAbstract":"<p><span>Global sea level is rising, and the relative rate in the Chesapeake Bay region of the East Coast of the United States is greater than the worldwide rate. Sea-level rise can cause saline water to migrate upstream in estuaries and rivers, threatening freshwater habitat and drinking-water supplies. The effects of future sea-level rise on two tributaries of Chesapeake Bay, the James and Chickahominy (CHK) Rivers, were evaluated in order to quantify the salinity change with respect to the magnitude of sea-level rise. Such changes are critical to: 1) local floral and faunal habitats that have limited tolerance ranges to salinity; and 2) a drinking-water supply for the City of Newport News, Virginia. By using the three-dimensional Hydrodynamic-Eutrophication Model (HEM-3D), sea-level rise scenarios of 30, 50, and 100&nbsp;cm, based on the U.S. Climate Change Science Program for the mid-Atlantic region for the 21st century, were evaluated. The model results indicate that salinity increases in the entire river as sea level rises and that the salinity increase in a dry year is greater than that in a typical year. In the James River, the salinity increase in the middle-to-upper river (from 25 to 50&nbsp;km upstream of the mouth) is larger than that in the lower and upper parts of the river. The maximum mean salinity increase would be 2 and 4&nbsp;ppt for a sea-level rise of 50 and 100&nbsp;cm, respectively. The upstream movement of the 10&nbsp;ppt isohaline is much larger than the 5 and 20&nbsp;ppt isohalines. The volume of water with salinity between 10 and 20&nbsp;ppt would increase greatly if sea level rises 100&nbsp;cm. In the CHK River, with a sea-level rise of 100&nbsp;cm, the mean salinity at the drinking-water intake 34&nbsp;km upstream of the mouth would be about 3&nbsp;ppt in a typical year and greater than 5&nbsp;ppt in a dry year, both far in excess of the U.S. Environmental Protection Agency's secondary standard for total dissolved solids for drinking water. At the drinking-water intake, the number of days of salinity greater than 0.1&nbsp;ppt increases with increasing sea-level rise; during a dry year, 0.1&nbsp;ppt would be exceeded for more than 100 days with as small a rise as 30&nbsp;cm.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2012.06.036","usgsCitation":"Rice, K.C., Hong, B., and Jian Shen, 2012, Assessment of salinity intrusion in the James and Chickahominy Rivers as a result of simulated sea-level rise in Chesapeake Bay, East Coast, USA: Journal of Environmental Management, v. 111, p. 61-69, https://doi.org/10.1016/j.jenvman.2012.06.036.","productDescription":"9 p.","startPage":"61","endPage":"69","ipdsId":"IP-023181","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":333128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","city":"Newport News","otherGeospatial":"Chesepeake Bay, Chickahominy River, James River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.794189453125,\n              36.76529191711624\n            ],\n            [\n              -77.794189453125,\n              39.74943369178247\n            ],\n            [\n              -75.662841796875,\n              39.74943369178247\n            ],\n            [\n              -75.662841796875,\n              36.76529191711624\n            ],\n            [\n              -77.794189453125,\n              36.76529191711624\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"111","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5878a492e4b04df303d95822","contributors":{"authors":[{"text":"Rice, Karen C. 0000-0002-9356-5443 kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":178269,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":658356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hong, Bo","contributorId":178276,"corporation":false,"usgs":false,"family":"Hong","given":"Bo","email":"","affiliations":[],"preferred":false,"id":658357,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jian Shen","contributorId":178277,"corporation":false,"usgs":false,"family":"Jian Shen","affiliations":[],"preferred":false,"id":658358,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70048976,"text":"ofr20121238 - 2012 - Water-quality and lake-stage data for Wisconsin lakes, water years 2008−2011","interactions":[],"lastModifiedDate":"2018-02-06T12:26:19","indexId":"ofr20121238","displayToPublicDate":"2016-09-30T14:15:00","publicationYear":"2012","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":"2012-1238","title":"Water-quality and lake-stage data for Wisconsin lakes, water years 2008−2011","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with local and other agencies, collects data at selected lakes throughout Wisconsin. These data, accumulated over many years, provide a data base for developing an improved understanding of the water quality of lakes. To make these data available to interested parties outside the USGS, the data are published annually in this report series.</p><p>The purpose of this report is to provide information about the chemical and physical characteristics of Wisconsin lakes during water years 2008–2011. A water year is the 12-month period from October 1 through September 30. It is designated by the calendar year in which it ends. Thus, the period October 1, 2007 through September 30, 2008 is called \"water year 2008.\" Data that have been collected at specific lakes, and information to aid in the interpretation of those data, are presented in this report for water years from 2008–2011. Data collected include measurements of in-lake water quality and lake stage. Time series of Secchi depths, surface total phosphorus and chlorophyll <i>a </i>concentrations collected during non-frozen periods are included for all lakes. Graphs of vertical profiles of temperature, dissolved oxygen, pH, and specific conductance are included for sites where these parameters were measured. Descriptive information for each lake includes: location of the lake, area of the lake’s watershed, period for which data are available, revisions to previously published records, and pertinent remarks. Additional data, such as streamflow and water quality in tributary and outlet streams of some of the lakes, are available via the \"USGS Annual Water Data Report\" Web site: <a href=\"http://wdr.water.usgs.gov/\" data-mce-href=\"http://wdr.water.usgs.gov/\">http://wdr.water.usgs.gov/</a>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121238","collaboration":"Prepared in cooperation with the State of Wisconsin and with other agencies","usgsCitation":"Manteufel, S.B., Olson, D.L., Robertson, D.M., and Goddard, G.L., 2012, Water-quality and lake-stage data for Wisconsin lakes, water years 2008–2011: U.S. Geological Survey Open-File Report 2012–1238, 554 p., https://dx.doi.org/10.3133/ofr20121238.","productDescription":"558 p.","numberOfPages":"558","onlineOnly":"Y","ipdsId":"IP-042122","costCenters":[{"id":677,"text":"Wisconsin Water Science 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 \"}}]}","publicComments":"Previous citation: Manteufel, S.B., Olson, D.L., Robertson, D.M., and Goddard, G.L., 2012, Water-quality and lake-stage data for Wisconsin lakes, water years 2008–2011: U.S. Geological Survey Open-File Report 2012–1238, 554 p., http://wi.water.usgs.gov/pdf/USGS-OFR-2012-1238.pdf.<br>  <p>This report has previously been available from http://wi.water.usgs.gov/pdf/USGS-OFR-2012-1238.pdf. The report that had been available on that Web site had a different cover, title page, and information page.</p>","contact":"<p><a href=\"mailto\" data-mce-href=\"mailto\">Director</a>, Wisconsin Water Science Center<br> U.S. Geological Survey<br> 8505 Research Way<br> Middleton, WI 53562<br> <a href=\"https://www.usgs.gov/centers/wisconsin-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/wisconsin-water-science-center\">https://www.usgs.gov/centers/wisconsin-water-science-center</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Water Year 2008<br></li><li>Water Year 2009<br></li><li>Water Year 2010<br></li><li>Water Year 2011</li></ul>","publishedDate":"2016-09-30","noUsgsAuthors":false,"publicationDate":"2016-09-30","publicationStatus":"PW","scienceBaseUri":"57f7f3a1e4b0bc0bec0a0ab6","contributors":{"authors":[{"text":"Manteufel, S. Bridgett sbmarsh@usgs.gov","contributorId":2593,"corporation":false,"usgs":true,"family":"Manteufel","given":"S.","email":"sbmarsh@usgs.gov","middleInitial":"Bridgett","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":518266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olson, Daniel dlolson@usgs.gov","contributorId":2591,"corporation":false,"usgs":true,"family":"Olson","given":"Daniel","email":"dlolson@usgs.gov","affiliations":[],"preferred":true,"id":518267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":518265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goddard, Gerald L.","contributorId":35721,"corporation":false,"usgs":true,"family":"Goddard","given":"Gerald","email":"","middleInitial":"L.","affiliations":[{"id":676,"text":"Wisconsin Water Resource Division","active":false,"usgs":true}],"preferred":false,"id":649910,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70171360,"text":"70171360 - 2012 - Distribution and abundance of anadromous Sea Lamprey Spawners in a fragmented stream: Current status and potential range expansion following barrier removal","interactions":[],"lastModifiedDate":"2016-05-27T15:05:24","indexId":"70171360","displayToPublicDate":"2016-01-11T12:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and abundance of anadromous Sea Lamprey Spawners in a fragmented stream: Current status and potential range expansion following barrier removal","docAbstract":"<p>Dams fragment watersheds and prevent anadromous fishes from reaching historic spawning habitat. Sedgeunkedunk Stream, a small tributary to the Penobscot River (Maine), has been the focus of efforts to reestablish marine-freshwater connectivity and restore anadromous fishes via the removal of two barriers to fish migration. Currently, <i>Petromyzon marinus</i> (Sea Lamprey) is the only anadromous fish known to spawn successfully in the stream downstream of the lowermost dam. Here, we describe the distribution and abundance of a spawning population of Sea Lamprey in Sedgeunkedunk Stream, prior to and in anticipation of habitat increase after the completion of one barrier removal. In 2008, we estimated the abundance of Sea Lamprey and its nests using daily stream surveys and an open-population mark-recapture model. We captured 47 Sea Lamprey and implanted each with a PIT tag so that we could track movements and nest associations of individual fish. The spawning migration began on 18 June, and the last living individual was observed on 27 June. We located 31 nests, distributed from head-of-tide to the lowermost dam; no spawners or nests were observed in the tidally influenced zone or upstream of this dam. Mean longevity in the stream and the number of nests attended were correlated with arrival date; early migrants were alive longer and attended more nests than later migrants. Males were more likely to be observed away from a nest, or attending three or more nests, than were females, which attended usually one or two nests. We observed a negative association between nest abundance and substrate cover by fine sediment. Based on their observed movements in the system, and the extent of their habitat use, we anticipate that spawning Sea Lamprey will recolonize formerly inaccessible habitat after dam removals.</p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/045.019.0108","usgsCitation":"Zydlewski, J.D., Gardner, C., and Coghlan, S.M., 2012, Distribution and abundance of anadromous Sea Lamprey Spawners in a fragmented stream: Current status and potential range expansion following barrier removal: Northeastern Naturalist, v. 19, no. 1, p. 99-110, https://doi.org/10.1656/045.019.0108.","productDescription":"11 p.","startPage":"99","endPage":"110","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-028427","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321837,"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              -68.99757385253906,\n              44.56454494930599\n            ],\n            [\n              -68.99757385253906,\n              44.800839614637205\n            ],\n            [\n              -68.52104187011719,\n              44.800839614637205\n            ],\n            [\n              -68.52104187011719,\n              44.56454494930599\n            ],\n            [\n              -68.99757385253906,\n              44.56454494930599\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"19","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57496faee4b07e28b665cc54","contributors":{"authors":[{"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":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":630709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Cory","contributorId":169679,"corporation":false,"usgs":false,"family":"Gardner","given":"Cory","email":"","affiliations":[],"preferred":false,"id":630742,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coghlan, Stephen M. Jr.","contributorId":169678,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen","suffix":"Jr.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":630743,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70171363,"text":"70171363 - 2012 - Effects of smallmouth bass (Micropterus dolomeiu) on Atlantic salmon (Salmo salar) habitat use and diel movements in an artificial stream.","interactions":[],"lastModifiedDate":"2016-05-27T13:57:45","indexId":"70171363","displayToPublicDate":"2016-01-11T09:30:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Effects of smallmouth bass (Micropterus dolomeiu) on Atlantic salmon (Salmo salar) habitat use and diel movements in an artificial stream.","docAbstract":"<p>Invasive smallmouth bass <i>Micropterus dolomieu</i> have been introduced to some of the last remaining watersheds that contain wild anadromous Atlantic salmon <i>Salmo salar</i>, yet little is known about the interactions between these species. We used an artificial stream equipped with passive integrated transponder tag antenna arrays to monitor habitat use and movements of age-0 Atlantic salmon and age-0 smallmouth bass in sympatry and allopatry. We used additive and substitutive designs to test for changes in habitat use, diel movements, and diel activity patterns of prior-resident Atlantic salmon or smallmouth bass resulting from the addition of conspecifics or heterospecifics. Atlantic salmon prior residents did not change their habitat use in the presence of conspecific or heterospecific invaders. However, Atlantic salmon invaders did lessen riffle habitat use by smallmouth bass prior residents during daytime. Atlantic salmon and smallmouth bass displayed different diel activity patterns of movement (Atlantic salmon were more nocturnal; smallmouth bass were more diurnal), which were affected by heterospecific introductions. Because the two species tended to favor different habitat types and displayed different diel activity patterns, we suggest that under the conditions tested, the level of interspecific competition for habitat was low. Age-0 Atlantic salmon and smallmouth bass may be able to avoid intense interspecific competition through spatial and temporal habitat partitioning. These data do not, however, predict the potential for competition under different seasonal or ontogenetic circumstances.</p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/00028487.2012.655116","usgsCitation":"Zydlewski, J.D., Coghlan, S.M., Trial, J.G., and Wathen, G., 2012, Effects of smallmouth bass (Micropterus dolomeiu) on Atlantic salmon (Salmo salar) habitat use and diel movements in an artificial stream.: Transactions of the American Fisheries Society, v. 141, no. 1, p. 174-184, https://doi.org/10.1080/00028487.2012.655116.","productDescription":"10 p.","startPage":"174","endPage":"184","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024602","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","county":"Penobscot County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -69.3511962890625,\n              43.858296779161826\n            ],\n            [\n              -69.3511962890625,\n              44.88701247981298\n            ],\n            [\n              -68.0548095703125,\n              44.88701247981298\n            ],\n            [\n              -68.0548095703125,\n              43.858296779161826\n            ],\n            [\n              -69.3511962890625,\n              43.858296779161826\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"141","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57496faee4b07e28b665cc59","contributors":{"authors":[{"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":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":630718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coghlan, Stephen M. Jr.","contributorId":169678,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen","suffix":"Jr.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":630736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trial, Joan G.","contributorId":91156,"corporation":false,"usgs":true,"family":"Trial","given":"Joan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":630737,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wathen, Gus","contributorId":169693,"corporation":false,"usgs":false,"family":"Wathen","given":"Gus","email":"","affiliations":[],"preferred":false,"id":630738,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70171359,"text":"70171359 - 2012 - Use of olfactory cues by newly metamorphosed wood frogs (Lithobates sylvaticus) during emigration","interactions":[],"lastModifiedDate":"2016-05-27T15:13:13","indexId":"70171359","displayToPublicDate":"2016-01-05T09:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Use of olfactory cues by newly metamorphosed wood frogs (Lithobates sylvaticus) during emigration","docAbstract":"<p>Juvenile amphibians are capable of long-distance upland movements, yet cues used for orientation during upland movements are poorly understood. We used newly metamorphosed Wood Frogs (<i>Lithobates sylvaticus</i>) to investigate: (1) the existence of innate (i.e., inherited) directionality, and (2) the use of olfactory cues, specifically forested wetland and natal pond cues during emigration. In a circular arena experiment, animals with assumed innate directionality did not orient in the expected direction (suggested by previous studies) when deprived of visual and olfactory cues. This suggests that juvenile Wood Frogs most likely rely on proximate cues for orientation. Animals reared in semi-natural conditions (1500&nbsp;l cattle tanks) showed a strong avoidance of forested wetland cues in two different experimental settings, although they had not been previously exposed to such cues. This finding is contrary to known habitat use by adult Wood Frogs during summer. Juvenile Wood Frogs were indifferent to the chemical signature of natal pond (cattle tank) water. Our findings suggest that management strategies for forest amphibians should consider key habitat features that potentially influence the orientation of juveniles during emigration movements, as well as adult behavior.</p>","language":"English","publisher":"The American Society of Ichthyologists and Herpetologists","doi":"10.1643/CE-11-062","usgsCitation":"Zydlewski, J.D., Popescu, V.D., Brodie, B.S., and Hunter, M.L., 2012, Use of olfactory cues by newly metamorphosed wood frogs (Lithobates sylvaticus) during emigration: Copeia, v. 2012, no. 3, p. 424-431, https://doi.org/10.1643/CE-11-062.","productDescription":"7 p.","startPage":"424","endPage":"431","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-028428","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": 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D.","contributorId":169697,"corporation":false,"usgs":false,"family":"Popescu","given":"Viorel","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":630744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brodie, Bekka S.","contributorId":169696,"corporation":false,"usgs":false,"family":"Brodie","given":"Bekka","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":630745,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunter, Malcom L.","contributorId":169695,"corporation":false,"usgs":false,"family":"Hunter","given":"Malcom","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":630746,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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