{"pageNumber":"604","pageRowStart":"15075","pageSize":"25","recordCount":46883,"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":70046846,"text":"70046846 - 2013 - Rejuvenating Pre-GPS era geophysical surveys using The National Map","interactions":[],"lastModifiedDate":"2013-07-08T15:53:26","indexId":"70046846","displayToPublicDate":"2012-05-01T15:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2469,"text":"Journal of Surveying Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Rejuvenating Pre-GPS era geophysical surveys using The National Map","docAbstract":"Old geophysical surveys [pre–Global Positioning System (GPS)] stand as valuable, largely untapped sources of scientific data. If data from these surveys were in a format that had reasonable accuracy, availability, and ease of access, they could be more widely used. In this paper, a pre-GPS survey is integrated into a modern geographic database, in this case, The National Map (TNM). The ultimate goal is to improve the accuracy, precision, provenance, and ease of access of the geospatial components of archived geophysical data. An unique set of data sources was assembled for this purpose. A comparison of these different data sources indicates that more than 80% of stations were positioned on The National Map within 15 m (horizontal) and 2 m (vertical) of the GPS-derived coordinates for each station within the survey. Although online database coordinate accuracy continues to improve, these results imply that web databases have already matured to a point where it is possible to integrate pre-GPS era survey coordinate data with reasonable positional accuracy.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Surveying Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)SU.1943-5428.0000068","usgsCitation":"Finn, M.P., Shoberg, T.G., and Stoddard, P., 2013, Rejuvenating Pre-GPS era geophysical surveys using The National Map: Journal of Surveying Engineering, v. 138, no. 2, p. 57-65, https://doi.org/10.1061/(ASCE)SU.1943-5428.0000068.","productDescription":"9 p.","startPage":"57","endPage":"65","ipdsId":"IP-023296","costCenters":[{"id":161,"text":"Center of Excellence for Geospatial Information Science (CEGIS)","active":false,"usgs":true}],"links":[{"id":274721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274720,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)SU.1943-5428.0000068"}],"country":"United States","state":"Missouri","county":"Crawford County;Dent County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.7747,35.9957 ], [ -95.7747,40.6136 ], [ -89.0995,40.6136 ], [ -89.0995,35.9957 ], [ -95.7747,35.9957 ] ] ] } } ] }","volume":"138","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dbdf74e4b0f81004b77dac","contributors":{"authors":[{"text":"Finn, Michael P. 0000-0003-0415-2194 mfinn@usgs.gov","orcid":"https://orcid.org/0000-0003-0415-2194","contributorId":2657,"corporation":false,"usgs":true,"family":"Finn","given":"Michael","email":"mfinn@usgs.gov","middleInitial":"P.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":480449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shoberg, Thomas G. 0000-0003-0173-1246 tshoberg@usgs.gov","orcid":"https://orcid.org/0000-0003-0173-1246","contributorId":3764,"corporation":false,"usgs":true,"family":"Shoberg","given":"Thomas","email":"tshoberg@usgs.gov","middleInitial":"G.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":480450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoddard, Paul","contributorId":84650,"corporation":false,"usgs":true,"family":"Stoddard","given":"Paul","affiliations":[],"preferred":false,"id":480451,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"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":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":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":70037922,"text":"70037922 - 2013 - Treating floodplain lakes of large rivers as study units for variables that vary within lakes; an evaluation using chlorophyll <i>a</i> and inorganic suspended solids data from floodplain lakes of the Upper Mississippi River","interactions":[],"lastModifiedDate":"2013-03-18T13:03:40","indexId":"70037922","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":"Treating floodplain lakes of large rivers as study units for variables that vary within lakes; an evaluation using chlorophyll <i>a</i> and inorganic suspended solids data from floodplain lakes of the Upper Mississippi River","docAbstract":"Contiguous floodplain lakes ('lakes') have historically been used as study units for comparative studies of limnological variables that vary within lakes. The hierarchical nature of these studies implies that study variables may be correlated within lakes and that covariate associations may differ not only among lakes but also by spatial scale. We evaluated the utility of treating lakes as study units for limnological variables that vary within lakes based on the criteria of important levels of among-lake variation in study variables and the observation of covariate associations that vary among lakes. These concerns were selected, respectively, to ensure that lake signatures were distinguishable from within-lake variation and that lake-scale effects on covariate associations might provide inferences not available by ignoring those effects. Study data represented chlorophyll a (CHL) and inorganic suspended solids (ISS) data from lakes within three reaches of the Upper Mississippi River. Sampling occurred in summer from 1993 through 2005 (except 2003); numbers of lakes per reach varied from 7 to 19, and median lake area varied from 53 to 101 ha. CHL and ISS levels were modelled linearly, with lake, year and lake x year effects treated as random. For all reaches, the proportions of variation in CHL and ISS attributable to differences among lakes (including lake and lake x year effects) were substantial (range: 18%-73%). Finally, among-lake variation in CHL and ISS was strongly associated with covariates and covariate effects that varied by lakes or lake-years (including with vegetation levels and, for CHL, log(ISS)). These findings demonstrate the utility of treating floodplain lakes as study units for the study of limnological variables and the importance of addressing hierarchy within study designs when making inferences from data collected within floodplain lakes.","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.1603","usgsCitation":"Gray, B., Rogala, J., and Houser, J., 2013, Treating floodplain lakes of large rivers as study units for variables that vary within lakes; an evaluation using chlorophyll <i>a</i> and inorganic suspended solids data from floodplain lakes of the Upper Mississippi River: River Research and Applications, v. 29, no. 3, p. 330-342, https://doi.org/10.1002/rra.1603.","productDescription":"13 p.","startPage":"330","endPage":"342","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":259406,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259390,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.1603","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Illinois;Iowa;Minnesota;Missouri;Wisconsin","volume":"29","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-11-03","publicationStatus":"PW","scienceBaseUri":"505bb790e4b08c986b327354","contributors":{"authors":[{"text":"Gray, B. R. 0000-0001-7682-9550","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":14785,"corporation":false,"usgs":true,"family":"Gray","given":"B. R.","affiliations":[],"preferred":false,"id":463052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogala, J.R.","contributorId":104331,"corporation":false,"usgs":true,"family":"Rogala","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":463054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Houser, J.N.","contributorId":91603,"corporation":false,"usgs":true,"family":"Houser","given":"J.N.","email":"","affiliations":[],"preferred":false,"id":463053,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"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":70009637,"text":"fs20123009 - 2012 - Core Science Systems—Mission overview","interactions":[],"lastModifiedDate":"2023-09-08T17:30:40.536115","indexId":"fs20123009","displayToPublicDate":"2019-10-03T10:05:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3009","displayTitle":"Core Science Systems—Mission Overview","title":"Core Science Systems—Mission overview","docAbstract":"<p>The Core Science Systems Mission Area delivers nationally focused Earth systems and information science that provides fundamental research and data that underpins all Mission Areas of the USGS, the USGS Science Strategy, and Presidential, Secretarial, and societal priorities. —<i>Kevin T. Gallagher, Associate Director, Core Science Systems</i></p><p>The U.S. Geological Survey (USGS) Core Science Systems (CSS) Mission Area spans the Earth's \"Critical Zone\" (National Research Council, 2001). The Critical Zone is the near-surface interface that extends from the tops of the trees down to the base of the deepest groundwater.</p><p>CSS provides a foundation for all USGS Mission Areas, as well as for the mission of the Department of the Interior (DOI), in the following ways:</p><ul><li>Conducts basic and applied science research and development</li><li>Fosters broad understanding and application of analyses and information</li><li>Provides a framework for data and information sharing</li><li>Creates new geospatially enabled data and information</li><li>Provides technical expertise in standards and methods</li><li>Builds and facilitates partnerships and innovation</li></ul>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123009","usgsCitation":"Gallagher, K.T., 2012, Core Science Systems—Mission overview: U.S. Geological Survey Fact Sheet 2012–3009, 4 p.","productDescription":"4 p.","onlineOnly":"Y","costCenters":[{"id":210,"text":"Core Science Systems","active":false,"usgs":true}],"links":[{"id":204804,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2012/3009/coverthb.jpg"},{"id":367949,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3009/fs20123009.pdf","text":"Report","size":"5.58 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2012-3009"}],"contact":"<p><a href=\"https://www.usgs.gov/mission-areas/core-science-systems\" data-mce-href=\"https://www.usgs.gov/mission-areas/core-science-systems\">Core Science Systems</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, Virginia 20192</p>","tableOfContents":"<ul><li>Core Science Systems—Mission Overview</li><li>Mapping</li><li>Research</li><li>Standards</li><li>Synthesis</li><li>Collections</li><li>Partnerships</li><li>Reference Cited</li></ul>","publishedDate":"2012-03-05","noUsgsAuthors":false,"publicationDate":"2012-03-05","publicationStatus":"PW","scienceBaseUri":"5059fc0fe4b0c8380cd4e0df","contributors":{"authors":[{"text":"Gallagher, Kevin T. 0000-0002-0638-2578 kgallagher@usgs.gov","orcid":"https://orcid.org/0000-0002-0638-2578","contributorId":320,"corporation":false,"usgs":true,"family":"Gallagher","given":"Kevin","email":"kgallagher@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":356797,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043420,"text":"70043420 - 2012 - LiDAR - An emerging tool for geological applications","interactions":[],"lastModifiedDate":"2017-05-16T16:10:09","indexId":"70043420","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5269,"text":"Outcrop: The Newsletter of the Rocky Mountain Association of Geologists","active":true,"publicationSubtype":{"id":10}},"title":"LiDAR - An emerging tool for geological applications","docAbstract":"<p><span>Over the past five to ten years the use and applicability of light detection and ranging (LiDAR) technology has increased dramatically. As a result, more and more LiDAR data now are being collected across the country for a wide range of applications, and LiDAR currently is the technology of choice for high resolution terrain model creation, 3-D city and infrastructure modeling, forestry, and a wide range of scientific applications. LiDAR is a key technology for geological applications both within and outside the U.S. Geological Survey, and efforts are underway to try to collect high resolution LiDAR data for the entire United States (https://pubs.usgs.gov/fs/2012/3089/pdf/fs2012-3089.pdf).</span></p>","language":"English","publisher":"Rocky Mountain Association of Geologists","publisherLocation":"Denver, CO","usgsCitation":"Stoker, J.M., 2012, LiDAR - An emerging tool for geological applications: Outcrop: The Newsletter of the Rocky Mountain Association of Geologists, v. 61, no. 10, p. 6-10.","productDescription":"4 p.","startPage":"6","endPage":"10","ipdsId":"IP-040387","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":333475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":333474,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.rmag.org/outcrop-2012"}],"country":"UNITED STATES","volume":"61","issue":"10","publicComments":"October 2012","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5881dedae4b01192927d9f8f","contributors":{"authors":[{"text":"Stoker, Jason M. 0000-0003-2455-0931 jstoker@usgs.gov","orcid":"https://orcid.org/0000-0003-2455-0931","contributorId":3021,"corporation":false,"usgs":true,"family":"Stoker","given":"Jason","email":"jstoker@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":659086,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"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":70173718,"text":"70173718 - 2012 - Habitat associations of fish species of greatest conservation need in wadeable Iowa streams","interactions":[],"lastModifiedDate":"2016-06-08T10:24:41","indexId":"70173718","displayToPublicDate":"2016-03-14T08:30:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Habitat associations of fish species of greatest conservation need in wadeable Iowa streams","docAbstract":"<p><span>Fish and habitat data were collected from 84 wadeable stream reaches in the Mississippi River drainage of Iowa to predict the occurrences of seven fish species of greatest conservation need and to identify the relative importance of habitat variables measured at small (e.g., depth, velocity, and substrate) and large (e.g., stream order, elevation, and gradient) scales in terms of their influence on species occurrences. Multiple logistic regression analysis was used to predict fish species occurrences, starting with all possible combinations of variables (5 large-scale variables, 13 small-scale variables, and all 18 variables) but limiting the final models to a maximum of five variables. Akaike's information criterion was used to rank candidate models, weight model parameters, and calculate model-averaged predictions. On average, the correct classification rate (CCR = 80%) and Cohen's kappa (&kappa; = 0.59) were greatest for multiple-scale models (i.e., those including both large-scale and small-scale variables), intermediate for small-scale models (CCR = 75%; &kappa; = 0.49), and lowest for large-scale models (CCR = 73%; &kappa; = 0.44). The occurrence of each species was associated with a unique combination of large-scale and small-scale variables. Our results support the necessity of understanding factors that constrain the distribution of fishes across spatial scales to ensure that management decisions and actions occur at the appropriate scale.</span></p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/02755947.2012.716015","usgsCitation":"Sindt, A.R., Quist, M.C., and Pierce, C., 2012, Habitat associations of fish species of greatest conservation need in wadeable Iowa streams: North American Journal of Fisheries Management, p. 1046-1061, https://doi.org/10.1080/02755947.2012.716015.","productDescription":"15 p.","startPage":"1046","endPage":"1061","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029055","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":502566,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/101","text":"External Repository"},{"id":323255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-91.217706,43.50055],[-91.216035,43.481142],[-91.233367,43.455168],[-91.200359,43.412701],[-91.198953,43.389835],[-91.21477,43.365874],[-91.20662,43.352524],[-91.132813,43.32803],[-91.107237,43.313645],[-91.07371,43.274746],[-91.071698,43.261014],[-91.058644,43.257679],[-91.066398,43.239293],[-91.12217,43.197255],[-91.1462,43.152405],[-91.1562,43.142945],[-91.175253,43.134665],[-91.179457,43.067427],[-91.156562,42.978226],[-91.14543,42.958211],[-91.14988,42.941955],[-91.1438,42.922877],[-91.146177,42.90985],[-91.100565,42.883078],[-91.097656,42.859871],[-91.091837,42.851225],[-91.09406,42.830813],[-91.078665,42.827678],[-91.069549,42.769628],[-91.060261,42.761847],[-91.065783,42.753387],[-91.056297,42.747341],[-91.051275,42.737001],[-91.035418,42.73734],[-91.026786,42.724228],[-91.000128,42.716189],[-90.977735,42.696816],[-90.949213,42.685573],[-90.923634,42.6855],[-90.88743,42.67247],[-90.731132,42.643437],[-90.706303,42.634169],[-90.692031,42.610366],[-90.686975,42.591774],[-90.661527,42.567999],[-90.654127,42.5499],[-90.643927,42.540401],[-90.636927,42.513202],[-90.655927,42.491703],[-90.654027,42.478503],[-90.624328,42.458904],[-90.567968,42.440389],[-90.560439,42.432897],[-90.555018,42.416138],[-90.477279,42.383794],[-90.462619,42.367253],[-90.443874,42.355218],[-90.416535,42.325109],[-90.430884,42.27823],[-90.419326,42.254467],[-90.400653,42.239293],[-90.391108,42.225473],[-90.356964,42.205445],[-90.328273,42.201047],[-90.282173,42.178846],[-90.234919,42.165431],[-90.209479,42.15268],[-90.197342,42.128163],[-90.167533,42.122475],[-90.161159,42.106372],[-90.168358,42.075779],[-90.164485,42.042105],[-90.151579,42.030633],[-90.140061,42.003252],[-90.146225,41.981329],[-90.164135,41.956178],[-90.163847,41.944934],[-90.152659,41.933058],[-90.153584,41.906614],[-90.181401,41.844647],[-90.181973,41.80707],[-90.278633,41.767358],[-90.310708,41.742214],[-90.317668,41.72269],[-90.313435,41.698082],[-90.334525,41.679559],[-90.343452,41.646959],[-90.339528,41.598633],[-90.343228,41.587833],[-90.41283,41.565333],[-90.461432,41.523533],[-90.500633,41.518033],[-90.540935,41.526133],[-90.591037,41.512832],[-90.602137,41.506032],[-90.605937,41.494232],[-90.655839,41.462132],[-90.750142,41.449632],[-90.846558,41.455141],[-90.930016,41.421404],[-90.979815,41.434321],[-91.027787,41.423603],[-91.043988,41.415897],[-91.05101,41.387556],[-91.06652,41.365246],[-91.074841,41.305578],[-91.092034,41.286911],[-91.114186,41.250029],[-91.113648,41.241401],[-91.07298,41.207151],[-91.041536,41.166138],[-91.027214,41.163373],[-91.007586,41.166183],[-90.99496,41.160624],[-90.946627,41.096632],[-90.949383,41.072711],[-90.942253,41.034702],[-90.945949,41.006495],[-90.958142,40.979767],[-90.952233,40.954047],[-90.965344,40.921633],[-91.009536,40.900565],[-91.021562,40.884021],[-91.044653,40.868356],[-91.05643,40.848387],[-91.092993,40.821079],[-91.097649,40.805575],[-91.091703,40.779708],[-91.110424,40.745528],[-91.115735,40.725168],[-91.11194,40.697018],[-91.123928,40.669152],[-91.185428,40.638071],[-91.253074,40.637962],[-91.306524,40.626231],[-91.339719,40.613488],[-91.359873,40.601805],[-91.379752,40.57445],[-91.401482,40.559458],[-91.406373,40.551831],[-91.404125,40.539127],[-91.384531,40.530948],[-91.369059,40.512532],[-91.364211,40.500043],[-91.364915,40.484168],[-91.381769,40.442555],[-91.372554,40.4012],[-91.381958,40.387632],[-91.419422,40.378264],[-91.441243,40.386255],[-91.452458,40.375501],[-91.463895,40.375659],[-91.465116,40.385257],[-91.484507,40.3839],[-91.490977,40.393484],[-91.487829,40.403866],[-91.498093,40.401926],[-91.522333,40.409648],[-91.527057,40.416689],[-91.519012,40.431298],[-91.529132,40.434272],[-91.533548,40.440804],[-91.523271,40.450061],[-91.526155,40.458625],[-91.552691,40.458769],[-91.574746,40.465664],[-91.590817,40.492292],[-91.621353,40.510072],[-91.618028,40.53403],[-91.6219,40.542292],[-91.6887,40.55739],[-91.691557,40.564867],[-91.686357,40.580875],[-91.716769,40.59853],[-91.729115,40.61364],[-92.686693,40.589809],[-94.294813,40.571341],[-94.632032,40.571186],[-95.765645,40.585208],[-95.753148,40.59284],[-95.748626,40.603355],[-95.768926,40.621264],[-95.776251,40.647463],[-95.795489,40.662384],[-95.822913,40.66724],[-95.842801,40.677496],[-95.852615,40.702262],[-95.883178,40.717579],[-95.888907,40.731855],[-95.879027,40.753081],[-95.84662,40.768619],[-95.835232,40.779151],[-95.834523,40.787778],[-95.845342,40.811324],[-95.837186,40.835347],[-95.847084,40.854174],[-95.847785,40.864328],[-95.838735,40.872191],[-95.815933,40.879846],[-95.809474,40.891228],[-95.813458,40.901693],[-95.836438,40.921642],[-95.839743,40.93278],[-95.829074,40.975688],[-95.838908,40.986484],[-95.867286,41.001599],[-95.869486,41.009399],[-95.859918,41.025403],[-95.859654,41.035695],[-95.882415,41.060411],[-95.862587,41.088399],[-95.865888,41.117898],[-95.88208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cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637770,"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":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","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":70168481,"text":"70168481 - 2012 - A comparison of approaches for estimating relative impacts of nonnative fishes","interactions":[],"lastModifiedDate":"2016-02-17T10:50:33","indexId":"70168481","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of approaches for estimating relative impacts of nonnative fishes","docAbstract":"<p><span>Lack of standard methods for quantifying impact has hindered risk assessments of high-impact invaders. To understand methodological strengths and weaknesses, we compared five approaches (in parentheses) for quantifying impact of nonnative fishes: reviewing documented impacts in a large-scale database (review); surveying fish biologists regarding three categories of impact (socioeconomic, ecological, abundance); and estimating frequency of occurrence from existing collection records (collection). In addition, we compared game and nongame biologists&rsquo; ratings of game and nongame species. Although mean species ratings were generally correlated among approaches, we documented important discrepancies. The review approach required little effort but often inaccurately estimated impact in our study region (Mid-Atlantic United States). Game fishes received lower ratings from the socioeconomic approach, which yielded the greatest consistency among respondents. The ecological approach exhibited lower respondent bias but was sensitive to pre-existing perceptions of high-impact invaders. The abundance approach provided the least-biased assessment of region-specific impact but did not account for differences in per-capita effects among species. The collection approach required the most effort and did not provide reliable estimates of impact. Multiple approaches to assessing a species&rsquo; impact are instructive, but impact ratings must be interpreted in the context of methodological strengths and weaknesses and key management issues. A combination of our ecological and abundance approaches may be most appropriate for assessing ecological impact, whereas our socioeconomic approach is more useful for understanding social dimensions. These approaches are readily transferrable to other regions and taxa; if refined, they can help standardize the assessment of impacts of nonnative species.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00267-011-9767-4","usgsCitation":"Lapointe, N., Pendleton, R.M., and Angermeier, P.L., 2012, A comparison of approaches for estimating relative impacts of nonnative fishes: Environmental Management, v. 49, no. 1, p. 82-95, https://doi.org/10.1007/s00267-011-9767-4.","productDescription":"14 p.","startPage":"82","endPage":"95","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032103","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":318111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2011-10-29","publicationStatus":"PW","scienceBaseUri":"56c5a7bce4b0946c65225007","contributors":{"authors":[{"text":"Lapointe, N.W.R.","contributorId":76558,"corporation":false,"usgs":true,"family":"Lapointe","given":"N.W.R.","email":"","affiliations":[],"preferred":false,"id":620724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pendleton, R. M.","contributorId":167004,"corporation":false,"usgs":false,"family":"Pendleton","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":620725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":620491,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042480,"text":"70042480 - 2012 - Lewis and Clark National Historical Park Elk Monitoring Program Annual Report 2010","interactions":[],"lastModifiedDate":"2017-11-22T16:06:12","indexId":"70042480","displayToPublicDate":"2015-09-01T01:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":56,"text":"Natural Resource Technical Report NPS/NCR/NCRO/NRTR","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2012/531","title":"Lewis and Clark National Historical Park Elk Monitoring Program Annual Report 2010","docAbstract":"<p>Fiscal year 2010 was the second full year of elk monitoring protocol implementation at Lewis and Clark National Historical Park (LEWI), part of the North Coast and Cascades Network (NCCN) Inventory and Monitoring program. Elk monitoring at Lewis and Clark NHP includes two components. Fecal pellet surveys at a systematic sample of points in the Fort Clatsop unit are intended to give quantitative estimates of relative use by elk in that unit. Driving surveys on specified routes in and near the Fort Clatsop unit are intended to provide an index of elk viewing opportunities on those roads.</p>\n<p>Fecal pellet surveys include a fall clearing session and a late winter sampling session. Fall clearing from November 9 to November 17, 2009 included visits to 67 survey points. Late winter sampling from March 1 to March 8 2010 included repeat visits to 65 of those same points, but not to two others that had hazardous access or were under water. We detected elk fecal pellets in 30 points in the fall and at 30 points in the late winter.</p>\n<p>Three to four road surveys per month were conducted in each of the 12 months of fiscal year 2010 (i.e., October-December 2009 and January-September 2010). Data from those surveys will be entered, validated, certified, and analyzed following the acceptance of the peer-reviewed protocol and associated database.</p>\n<p>Data from FY09, FY10, and FY11 will be useful in the formal analyses of trend. Those three years of data will contribute to the preparation of a four-year analysis and report after only one more year. Quantitative estimates of relative use by elk throughout the Fort Clatsop unit will be provided in the four-year report in 2012. Those estimates will account for detection bias, which comes from an incomplete count of elk pellets that were present in the subplots at the time of survey.</p>","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Cole, C., Griffin, P., and Jenkins, K., 2012, Lewis and Clark National Historical Park Elk Monitoring Program Annual Report 2010: Natural Resource Technical Report NPS/NCR/NCRO/NRTR 2012/531, ix, 15 p.","productDescription":"ix, 15 p.","numberOfPages":"30","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030480","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":307942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307941,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://irmafiles.nps.gov/reference/holding/443983","text":"Report","linkFileType":{"id":1,"text":"pdf"}}],"country":"UNITED STATES","state":"Oregon","otherGeospatial":"Lewis and Clark National Historic Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.92123222351074,\n              46.117811095069584\n            ],\n            [\n              -123.92123222351074,\n              46.138273893429385\n            ],\n            [\n              -123.87840270996094,\n              46.138273893429385\n            ],\n            [\n              -123.87840270996094,\n              46.117811095069584\n            ],\n            [\n              -123.92123222351074,\n              46.117811095069584\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560ba841e4b058f706e53a91","contributors":{"authors":[{"text":"Cole, Carla","contributorId":44809,"corporation":false,"usgs":true,"family":"Cole","given":"Carla","email":"","affiliations":[],"preferred":false,"id":571557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffin, Paul pgriffin@usgs.gov","contributorId":140575,"corporation":false,"usgs":true,"family":"Griffin","given":"Paul","email":"pgriffin@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":571558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenkins, Kurt","contributorId":30681,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":571559,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173719,"text":"70173719 - 2012 - Rock fall dynamics and deposition: an integrated analysis of the 2009 Ahwiyah Point rock fall, Yosemite National Park, USA.","interactions":[],"lastModifiedDate":"2016-06-08T11:55:02","indexId":"70173719","displayToPublicDate":"2015-08-25T17:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Rock fall dynamics and deposition: an integrated analysis of the 2009 Ahwiyah Point rock fall, Yosemite National Park, USA.","docAbstract":"<p>We analyzed a combination of airborne and terrestrial LiDAR, high-resolution photography, seismic, and acoustic data in order to gain insights into the initiation, dynamics, and talus deposition of a complex rock fall. A large (46 700&thinsp;m3) rock fall originated from near Ahwiyah Point in eastern Yosemite Valley and fell a total of 730&thinsp;m to the valley floor on 28 March 2009. Analyses of remote sensing, seismic, and acoustic data were integrated to reconstruct the rock fall, which consisted of (1) the triggering of a 25 400&thinsp;m3 rock block in an area of intersecting and sometimes highly weathered joint planes, (2) the sliding and subsequent ballistic trajectory of the block from a steeply dipping ledge, (3) dislodging of additional rock from the cliff surface from beneath the rock fall source area, (4) a mid-cliff ledge impact that detached a volume of rock nearly equivalent in volume to the initial block, (5) sliding of the deteriorating rock mass down the remainder of the cliff, and (6) final impact at the base of the cliff that remobilized the existing talus downward and outward and produced an airblast that knocked down hundreds of trees. The depositional geomorphology indicates that the porosity of the fresh talus is significantly lower than that expected for typical blocky talus slopes, likely because the rock debris from this event was pulverized into smaller, more poorly sorted fragments and densified via dynamic compaction when compared to less energetic, fragmental-type rock falls. These results suggest that accumulation of individual rock-fall boulders tends to steepen talus slopes, whereas large, energetic rock falls tend to flatten them. Detachment and impact signals were recorded by seismic and acoustic instruments and highlight the potential use of this type of instrumentation for generalized rock fall monitoring, while LiDAR and photography data were able to quantify the cliff geometry, rock fall volume, source and impact locations, and geomorphological changes to the cliff and talus.</p>","language":"English","publisher":"Earth Surface Processes and Landforms","doi":"10.1002/esp.3206","usgsCitation":"Valerie L. Zimmer, Collins, B.D., Greg M. Stock, and Nicholas Sitar, 2012, Rock fall dynamics and deposition: an integrated analysis of the 2009 Ahwiyah Point rock fall, Yosemite National Park, USA.: Earth Surface Processes and Landforms, v. 37, no. 6, p. 680-691, https://doi.org/10.1002/esp.3206.","productDescription":"11 p.","startPage":"680","endPage":"691","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033985","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":323271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yosemite National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              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-119.70016479492188,\n              37.54893261064111\n            ],\n            [\n              -119.66308593749999,\n              37.496652341233364\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"37","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-02-08","publicationStatus":"PW","scienceBaseUri":"57594231e4b04f417c256986","contributors":{"authors":[{"text":"Valerie L. Zimmer","contributorId":171506,"corporation":false,"usgs":false,"family":"Valerie L. Zimmer","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":637774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":637771,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greg M. Stock","contributorId":171504,"corporation":false,"usgs":false,"family":"Greg M. Stock","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":637772,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nicholas Sitar","contributorId":171505,"corporation":false,"usgs":false,"family":"Nicholas Sitar","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":637773,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70041459,"text":"70041459 - 2012 - Earthquake studies reveal the magmatic plumbing system of the Katmai volcanoes","interactions":[],"lastModifiedDate":"2019-05-30T13:48:06","indexId":"70041459","displayToPublicDate":"2015-08-10T13:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":691,"text":"Alaska Park Science","printIssn":"1545- 496","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake studies reveal the magmatic plumbing system of the Katmai volcanoes","docAbstract":"<p>The 1912 eruption of Novarupta was the largest of the 1900s (Fierstein and Hildreth 2001, Hildreth et al. 2003). A century later, fundamental questions remain regarding the source of the magma for that eruption. A previous seismic study of the Katmai area (Jolly et al. 2007) identified a single large area of anomalous structure in the subsurface centered beneath Katmai Pass (Figure 2), but the magma source for the 1912 eruption is thought to have been beneath Mt. Katmai (Hildreth et al. 2003). This mystery was a prime motivation for the research project described here.</p>\n<p>In summer 2008, scientists and staff from the Alaska Volcano Observatory (AVO) and the University of Wisconsin- Madison installed 11 temporary seismic recording instruments around the Katmai Pass area, complementing the existing AVO seismic network stations (Figure 3). The primary goal of the deployment was to record data from local earthquakes in order to yield an improved model of the three-dimensional structure of the upper crust beneath and surrounding Katmai Pass, using an analysis method known as double-difference seismic tomography (Zhang and Thurber 2003). The method yields a threedimensional image of the velocity of seismic waves in the subsurface, and also produces improved estimates of the locations of the earthquakes beneath the seismic stations.</p>\n<p>Our main finding is that there is not a single large anomalous zone centered beneath Katmai Pass; rather there are several separate anomalous zones, one each beneath Katmai, Trident-Novarupta, and Martin-Mageik. Furthermore, the earthquakes are tightly clustered beneath the various volcanic centers, and are found to be systematically deeper than previously thought. Linear trends of earthquakes are also revealed, similar to features observed at other volcanoes, possibly outlining previously unidentified fault structures or indicating the path of migrating magma or magmatic fluids and gases.</p>","language":"English","publisher":"Alaska Park Science","publisherLocation":"U.S. Geological Survey","usgsCitation":"Thurber, C., Murphy, R., Prejean, S.G., Haney, M.M., Bennington, N., Powell, L., and Paskievitch, J.F., 2012, Earthquake studies reveal the magmatic plumbing system of the Katmai volcanoes: Alaska Park Science, v. 11, no. 1, 6 p.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034836","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science 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,{"id":70039513,"text":"70039513 - 2012 - Water monitoring to support the State of Illinois Governor's Drought Response Task Force -August 7, 2012","interactions":[],"lastModifiedDate":"2015-11-02T09:43:36","indexId":"70039513","displayToPublicDate":"2015-07-13T08:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Water monitoring to support the State of Illinois Governor's Drought Response Task Force -August 7, 2012","docAbstract":"<p>The U.S. Geological Survey (USGS) collects streamflow, groundwater level, and water-quality data for the State of Illinois and the Nation. Much of these data are collected every 15 minutes (real-time) as a part of the national network, so that water-resource managers can make decisions in a timely and reliable manner. 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,{"id":70004400,"text":"70004400 - 2012 - Evaluation of long-term gas hydrate production testing locations on the Alaska North Slope","interactions":[],"lastModifiedDate":"2015-10-28T15:04:00","indexId":"70004400","displayToPublicDate":"2015-07-05T08:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3326,"text":"SPE Reservoir Evaluation and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of long-term gas hydrate production testing locations on the Alaska North Slope","docAbstract":"<p>The results of short-duration formation tests in northern Alaska and Canada have further documented the energy-resource potential of gas hydrates and have justified the need for long-term gas-hydrate-production testing. Additional data acquisition and long-term production testing could improve the understanding of the response of naturally occurring gas hydrate to depressurization-induced or thermal-, chemical-, or mechanical-stimulated dissociation of gas hydrate into producible gas. The Eileen gashydrate accumulation located in the Greater Prudhoe Bay area in northern Alaska has become a focal point for gas-hydrate geologic and production studies. BP Exploration (Alaska) Incorporated and ConocoPhillips have each established research partnerships with the US Department of Energy to assess the production potential of gas hydrates in northern Alaska. A critical goal of these efforts is to identify the most suitable site for production testing. A total of seven potential locations in the Prudhoe Bay, Kuparuk River, and Milne Point production units were identified and assessed relative to their suitability as a long-term gas-hydrate-production test sites. The test-site-assessment criteria included the analysis of the geologic risk associated with encountering reservoirs for gas-hydrate testing. The site-selection process also dealt with the assessment of the operational/logistical risk associated with each of the potential test sites. From this review, a site in the Prudhoe Bay production unit was determined to be the best location for extended gas-hydrate-production testing. The work presented in this report identifies the key features of the potential test site in the Greater Prudhoe Bay area and provides new information on the nature of gas-hydrate occurrence and the potential impact of production testing on existing infrastructure at the most favorable sites. These data were obtained from well-log analysis, geological correlation and mapping, and numerical simulation.</p>","language":"English","publisher":"Society of Petroleum Engineers","doi":"10.2118/155504-PA","usgsCitation":"Collett, T.S., Boswell, R., Lee, M.W., Anderson, B.J., Rose, K.K., and Lewis, K.A., 2012, Evaluation of long-term gas hydrate production testing locations on the Alaska North Slope: SPE Reservoir Evaluation and Engineering, v. 15, no. 2, p. 243-264, https://doi.org/10.2118/155504-PA.","productDescription":"22 p.","startPage":"243","endPage":"264","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026459","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":310737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"North 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K.","contributorId":82452,"corporation":false,"usgs":true,"family":"Rose","given":"Kelly","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":578628,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lewis, Kristen A. 0000-0003-4991-3399 klewis@usgs.gov","orcid":"https://orcid.org/0000-0003-4991-3399","contributorId":4120,"corporation":false,"usgs":true,"family":"Lewis","given":"Kristen","email":"klewis@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":578629,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70041709,"text":"70041709 - 2012 - VS30 – A site-characterization parameter for use in building Codes, simplified earthquake resistant design, GMPEs, and ShakeMaps","interactions":[],"lastModifiedDate":"2015-10-29T11:48:04","indexId":"70041709","displayToPublicDate":"2015-06-08T08:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"VS30 – A site-characterization parameter for use in building Codes, simplified earthquake resistant design, GMPEs, and ShakeMaps","docAbstract":"<p>VS30, defined as the average seismic shear-wave velocity from the surface to a depth of 30 meters, has found wide-spread use as a parameter to characterize site response for simplified earthquake resistant design as implemented in building codes worldwide. VS30&nbsp;, as initially introduced by the author for the US 1994 NEHRP Building Code, provides unambiguous definitions of site classes and site coefficients for site-dependent response spectra based on correlations derived from extensive borehole logging and comparative ground-motion measurement programs in California. Subsequent use of VS30&nbsp;for development of strong ground motion prediction equations (GMPEs) and measurement of extensive sets of VS borehole data have confirmed the previous empirical correlations and established correlations of SVS30 with VSZ&nbsp;at other depths. These correlations provide closed form expressions to predict S30 V at a large number of additional sites and further justify S30 V as a parameter to characterize site response for simplified building codes, GMPEs, ShakeMap, and seismic hazard mapping.</p>","conferenceTitle":"The 15th World Conference on Earthquake Engineering","conferenceDate":"September 24-28, 2012","conferenceLocation":"Lisbon, Portugal","language":"English","usgsCitation":"Borcherdt, R.D., 2012, VS30 – A site-characterization parameter for use in building Codes, simplified earthquake resistant design, GMPEs, and ShakeMaps, The 15th World Conference on Earthquake Engineering, Lisbon, Portugal, September 24-28, 2012, 10 p.","productDescription":"10 p.","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037137","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":310763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"UNITED STATES","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56334345e4b048076347eef1","contributors":{"authors":[{"text":"Borcherdt, Roger D. 0000-0002-8668-0849 borcherdt@usgs.gov","orcid":"https://orcid.org/0000-0002-8668-0849","contributorId":2373,"corporation":false,"usgs":true,"family":"Borcherdt","given":"Roger","email":"borcherdt@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":578693,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70041710,"text":"70041710 - 2012 - Report on progress at the Center for Engineering Strong Motion Data (CESMD)","interactions":[],"lastModifiedDate":"2015-10-29T11:33:00","indexId":"70041710","displayToPublicDate":"2015-06-08T04:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Report on progress at the Center for Engineering Strong Motion Data (CESMD)","docAbstract":"<p>Strong-motion data of engineering and scientific importance from the United States and other seismically active countries are served through the Center for Engineering Strong Motion Data (CESMD) at www.strongmotioncenter.org. Recently, the CESMD staff, with cooperation from colleagues at international strong-motion seismic networks, has disseminated strong-motion data from significant earthquakes that occurred in Italy, Haiti, Mexico, New Zealand, Chile, Japan, Turkey, and the United States.</p>\n<p>The CESMD now automatically posts strong-motion data from an increasing number of seismic stations in California within a few minutes following an earthquake as an Internet Quick Report (IQR). As appropriate, IQRs are updated by more comprehensive Internet Data Reports that include reviewed versions of the data and maps showing, for example, the finite fault rupture along with the distribution of recording stations. Automated processing of strong-motion data will be extended to post the strong-motion records of the regional seismic networks of the Advanced National Seismic System (ANSS) outside California.</p>\n<p>Transfer of the operational and maintenance responsibilities for the Consortium of Organizations for Strong Motion Observation Systems (COSMOS) Virtual Data Center (VDC) from the University of California at Santa Barbara to the CESMD is nearing completion. 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