{"pageNumber":"684","pageRowStart":"17075","pageSize":"25","recordCount":165309,"records":[{"id":70211228,"text":"70211228 - 2019 - Site response in the Oklahoma region from seismic recordings of the 2011 Mw 5.7 Prague earthquake","interactions":[],"lastModifiedDate":"2020-07-21T14:45:02.774951","indexId":"70211228","displayToPublicDate":"2019-08-30T15:57:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Site response in the Oklahoma region from seismic recordings of the 2011 Mw 5.7 Prague earthquake","docAbstract":"We invert the shear-wave displacement spectra obtained from 30 three-component, broadband waveforms recorded within 300 km of the 6 November 2011 Mw 5.7 Prague, Oklahoma earthquake to recover the site-response contribution using an inversion method that simultaneously inverts for source, path, and site effects. Site-response functions identify resonant frequencies within a range of 0.1-10 Hz that generally coincide with spectral peaks in H/V curves derived from the recorded waveforms. S-wave velocity profiles available for several sites were also used to calculate theoretical SH transfer functions that predict the site amplification due to the near-surface soil structure down to depths of 30-50 m. These transfer functions are generally flat below about 8 Hz in the frequency range sampled by the spectral inversion process, indicating that the spectral peaks in the site response obtained from the waveform analysis result from deeper velocity variations. A 0.3-Hz spectral peak observed at several stations, for example, coincides with the strong, surface-wave amplitudes observed at 3s periods for induced M ≥ 3 earthquakes in Oklahoma and Kansas, suggesting that this resonant peak may be due to surface waves trapped in the upper sedimentary layer of the crust. Both shallow and deep contributions to the site response are important for the characterization of ground motion from Central and Eastern North America (CENA) earthquakes. We obtain a seismic moment of 4.32 × 1024 dyne-cm and a corner frequency of 0.229, consistent with the magnitude of the event. A frequency-dependent attenuation relation of Q(f)=1107f 0.398 consistent with prior measurements of path properties in CENA is also derived.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220180388","usgsCitation":"Mendoza, C., and Hartzell, S.H., 2019, Site response in the Oklahoma region from seismic recordings of the 2011 Mw 5.7 Prague earthquake: Seismological Research Letters, v. 90, no. 5, p. 2015-2027, https://doi.org/10.1785/0220180388.","productDescription":"13 p.","startPage":"2015","endPage":"2027","ipdsId":"IP-108626","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":376529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","city":"Prague","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.99554443359375,\n 35.22094130403182\n ],\n [\n -96.328125,\n 35.22094130403182\n ],\n [\n -96.328125,\n 35.70414710206052\n ],\n [\n -96.99554443359375,\n 35.70414710206052\n ],\n [\n -96.99554443359375,\n 35.22094130403182\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"90","issue":"5","noUsgsAuthors":false,"publicationDate":"2019-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Mendoza, C.","contributorId":229471,"corporation":false,"usgs":false,"family":"Mendoza","given":"C.","affiliations":[{"id":36644,"text":"Centro de Geociencias, Universidad Nacional Autónoma de México, Campus Juriquilla, Queretaro, Mexico","active":true,"usgs":false}],"preferred":false,"id":793279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":793280,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70205696,"text":"70205696 - 2019 - The effect of resolution on terrain feature extraction","interactions":[],"lastModifiedDate":"2019-10-08T07:06:17","indexId":"70205696","displayToPublicDate":"2019-08-30T12:48:21","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The effect of resolution on terrain feature extraction","docAbstract":"Recent increase in the production of high-resolution digital elevation models (DEMs) from lidar data has led to interest in their use for terrain mapping. Although the impact of different resolutions has been studied relative to terrain characteristics like roughness, slope and curvature, its relationship to the extraction of terrain features remains unclear. To address this question, this study tests the impact of four resolutions on the capture of glacial cirques from DEMs. Mean curvature was derived from one arc-second, one-third arc-second, one-ninth arc-second and half meter DEMs representing a cirque-covered mountainous region southwest of Lake Tahoe, California. Using a GEOBIA workflow, ridge objects were identified, and three scales - via the multi-resolution scale parameter (SP) - of objects bordering the ridges were classified as cirque objects. The resulting classifications were compared to reference cirques digitized at a scale of ~1:10,000. Results show that the one-third arc-second DEM produces the set of cirque objects most closely resembling the reference cirques. The one-ninth arc-second DEM afforded the second-best classification. These results emphasize the importance in carefully choosing resolution relative to the features extracted, rather than using the highest resolution data available. In the case of GEOBIA workflows, the choice of scale parameter is equally important.","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Geomorphometry 2018","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceDate":"August 13-17, 2018","language":"English","publisher":"PeerJ","doi":"10.7287/peerj.preprints.27072v1","usgsCitation":"Arundel, S., Li, W., and Zhou, X., 2019, The effect of resolution on terrain feature extraction, in Geomorphometry 2018, August 13-17, 2018, 4 p., https://doi.org/10.7287/peerj.preprints.27072v1.","productDescription":"4 p.","ipdsId":"IP-094644","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":460303,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.7287/peerj.preprints.27072v1","text":"External Repository"},{"id":368033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada mountain range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.23574829101562,\n 38.82981255949193\n ],\n [\n -120.02632141113283,\n 38.82981255949193\n ],\n [\n -120.02632141113283,\n 39.0047782882536\n ],\n [\n -120.23574829101562,\n 39.0047782882536\n ],\n [\n -120.23574829101562,\n 38.82981255949193\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Arundel, Samantha T. 0000-0002-4863-0138 sarundel@usgs.gov","orcid":"https://orcid.org/0000-0002-4863-0138","contributorId":192598,"corporation":false,"usgs":true,"family":"Arundel","given":"Samantha","email":"sarundel@usgs.gov","middleInitial":"T.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":772079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Wenwen 0000-0003-2237-9499","orcid":"https://orcid.org/0000-0003-2237-9499","contributorId":219356,"corporation":false,"usgs":false,"family":"Li","given":"Wenwen","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":772080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhou, Xiran","contributorId":219357,"corporation":false,"usgs":false,"family":"Zhou","given":"Xiran","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":772081,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70223413,"text":"70223413 - 2019 - An importance–satisfaction analysis of trout license holders in Georgia","interactions":[],"lastModifiedDate":"2021-08-26T16:13:39.597322","indexId":"70223413","displayToPublicDate":"2019-08-30T11:10:40","publicationYear":"2019","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":"An importance–satisfaction analysis of trout license holders in Georgia","docAbstract":"

As anglers become increasingly diverse, fisheries managers are challenged to find ways to satisfy users with divergent preferences while conserving a limited resource on a limited budget. With this management challenge in mind, this study combines previous angler specialization research with an importance–satisfaction analysis (ISA) to aid fisheries managers in better understanding users with divergent preferences. An ISA involves asking stakeholders to simultaneously evaluate the importance of salient attributes of their fishing experience and their satisfaction with those attributes, which allows for graphical depiction of each attribute in one of four quadrants with managerial implications: Concentrate Here, Keep up the Good Work, Possible Overkill, and Low Priority. The data were collected via a mail-administered survey that was sent to 4,000 licensed trout anglers who were residents of Georgia. The anglers were asked to evaluate 10 catch and 7 noncatch attributes as well as answer questions that were used to measure levels of angler specialization. A K-means cluster analysis was used to segment the 469 respondents into three groups based on their specialization level. Analysis of variance (ANOVA) was used to determine whether anglers’ preferences differed by level of specialization. The results revealed that specialization groups differed in the level of importance that they placed on 6 catch and 4 noncatch attributes and in their levels of satisfaction with 5 catch and 2 noncatch attributes. There were also differences among the groups in quadrant placement for both catch and noncatch attributes. The respondents agreed that habitat improvement initiatives, adding new fishable water, and clear signage of regulations were of relatively high importance, with habitat improvement initiatives as the only attribute to fall in the Concentrate Here quadrant for all three clusters. The average responses for importance and satisfaction were highest for the most specialized group and lowest for the least specialized group. Combining segmenting techniques, like cluster analysis with ISA, offers fisheries managers the opportunity to gauge different user groups’ perceptions of salient fishery attributes.

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\"}}]}","volume":"39","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"TenHarmsel, H. 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B.","contributorId":264805,"corporation":false,"usgs":false,"family":"Boley","given":"B.","email":"","middleInitial":"B.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":821993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irwin, Brian J. 0000-0002-0666-2641 bjirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":4037,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian","email":"bjirwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":821994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jennings, Cecil A. 0000-0002-6159-6026 jennings@usgs.gov","orcid":"https://orcid.org/0000-0002-6159-6026","contributorId":874,"corporation":false,"usgs":true,"family":"Jennings","given":"Cecil","email":"jennings@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":821995,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70206389,"text":"70206389 - 2019 - Surface rupture and distributed deformation revealed by optical satellite imagery: The intraplate 2016 Mw 6.0 Petermann Ranges earthquake, Australia","interactions":[],"lastModifiedDate":"2019-12-23T08:40:19","indexId":"70206389","displayToPublicDate":"2019-08-29T14:19:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Surface rupture and distributed deformation revealed by optical satellite imagery: The intraplate 2016 Mw 6.0 Petermann Ranges earthquake, Australia","docAbstract":"High-resolution optical satellite imagery is used to quantify vertical surface deformation associated with the intraplate 20 May 2016 Mw 6.0 Petermann Ranges earthquake, Northern Territory, Australia. The 21 ╓ 1 km long NW-trending rupture resulted from reverse motion on a northeast-dipping fault. Vertical surface offsets of up to 0.7 ╓ 0.1 m distributed across a 0.5-to-1 km wide deformation zone are measured using the Iterative Closest Point (ICP) algorithm to compare pre- and post-earthquake digital elevation models (DEMs) derived from Worldview imagery. The results are validated by comparison with field-based observations and interferometric synthetic aperture radar (InSAR). The pattern of surface uplift is consistent with distributed shear above the propagating tip of a reverse fault, leading to both an emergent fault and folding proximal to the rupture. This study demonstrates the potential for quantifying modest (<1 m) vertical deformation on a reverse fault using optical satellite imagery.","language":"English","publisher":"AGU","doi":"10.1029/2019GL084926","collaboration":"Geoscience Australia, Symonston, ACT, Australia; University of Iowa, Iowa City, IA, USA; University of Melbourne, Melbourne, Australia","usgsCitation":"Gold, R.D., Clark, D., Barnhart, W., King, T., Quigley, M., and Briggs, R.W., 2019, Surface rupture and distributed deformation revealed by optical satellite imagery: The intraplate 2016 Mw 6.0 Petermann Ranges earthquake, Australia: Geophysical Research Letters, v. 46, no. 17-18, p. 10394-10403, https://doi.org/10.1029/2019GL084926.","productDescription":"10 p.","startPage":"10394","endPage":"10403","ipdsId":"IP-110619","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":467331,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gl084926","text":"Publisher Index Page"},{"id":368840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 125.33203125,\n -26.509904531413916\n ],\n [\n 129.111328125,\n -26.509904531413916\n ],\n [\n 129.111328125,\n -21.739091217718574\n ],\n [\n 125.33203125,\n -21.739091217718574\n ],\n [\n 125.33203125,\n -26.509904531413916\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"17-18","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":774360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Dan","contributorId":175111,"corporation":false,"usgs":false,"family":"Clark","given":"Dan","email":"","affiliations":[],"preferred":false,"id":774361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnhart, William D. 0000-0003-0498-1697","orcid":"https://orcid.org/0000-0003-0498-1697","contributorId":192730,"corporation":false,"usgs":false,"family":"Barnhart","given":"William D.","affiliations":[],"preferred":false,"id":774362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Tamarah","contributorId":220153,"corporation":false,"usgs":false,"family":"King","given":"Tamarah","email":"","affiliations":[{"id":40134,"text":"University of Melbourne, Melbourne, Australia","active":true,"usgs":false}],"preferred":false,"id":774363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quigley, Mark","contributorId":220154,"corporation":false,"usgs":false,"family":"Quigley","given":"Mark","email":"","affiliations":[{"id":40134,"text":"University of Melbourne, Melbourne, Australia","active":true,"usgs":false}],"preferred":false,"id":774364,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":139002,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":774365,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70211075,"text":"70211075 - 2019 - Assessment of larval fish assemblages and nursery habitat in the St. Clair River delta","interactions":[],"lastModifiedDate":"2020-07-14T14:16:36.312547","indexId":"70211075","displayToPublicDate":"2019-08-29T12:28:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of larval fish assemblages and nursery habitat in the St. Clair River delta","docAbstract":"

The St. Clair River delta, part of the St. Clair-Detroit River System (SCDRS), is the most fished coastal wetland area in the Laurentian Great Lakes and provides nursery habitat for a variety of fish species; however, few large-scale surveys of larval fish have been performed within the delta since the 1980s. Larval fish, zooplankton, and aquatic plants were sampled at 20 sites from May through July in 2010 and 2011 to characterize shallow channel and backwater delta habitats used by fish. The larval fish assemblage was sampled using active and passive gears (conical nets and light traps) and was dominated by Cyprinidae, Catostomidae, and Gobiidae. The microzooplankton assemblage was composed of rotifers, copepod nauplii, and Dreissena spp. veligers, while the macrozooplankton assemblage was composed of mostly cyclopoids and harpacticoids in May and cladocerans later in the season. Scirpus spp. dominated the plant assemblage in June and was replaced by Chara spp. in July. Seasonal compositional shifts were evident for larval fish, zooplankton, and plant assemblages, and greater densities of microzooplankton and cladocerans were typically found in backwater areas. Assemblage compositions were comparable to those in historical surveys but invasive Gobiidae and Dreissena spp. veligers now represent substantial proportions of the larval fish and zooplankton assemblages, respectively. Due to the high connectivity and advective nature of the SCDRS, understanding the larval fish assemblage dynamics of the delta can help inform estimates of system productivity.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2019.03.010","usgsCitation":"Tucker, T., DeBruyne, R.L., Roseman, E., Larson, D., and McNaught, A., 2019, Assessment of larval fish assemblages and nursery habitat in the St. Clair River delta: Journal of Great Lakes Research, v. 45, no. 4, p. 762-776, https://doi.org/10.1016/j.jglr.2019.03.010.","productDescription":"15 p.","startPage":"762","endPage":"776","ipdsId":"IP-098468","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":467332,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2019.03.010","text":"Publisher Index Page"},{"id":437355,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VDR3XG","text":"USGS data release","linkHelpText":"Survey data of larval fish, zooplankton, and aquatic plants collected from the St. Clair River delta, MI (2010-2011)"},{"id":376342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"St. Clair River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.72430419921875,\n 42.47007098029904\n ],\n [\n -82.51556396484375,\n 42.549033612225145\n ],\n [\n -82.430419921875,\n 42.73289174571287\n ],\n [\n -82.72430419921875,\n 42.71473218539458\n ],\n [\n -82.72430419921875,\n 42.47007098029904\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tucker, Taaja 0000-0003-1534-4677","orcid":"https://orcid.org/0000-0003-1534-4677","contributorId":217908,"corporation":false,"usgs":true,"family":"Tucker","given":"Taaja","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":792689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeBruyne, Robin L .","contributorId":214489,"corporation":false,"usgs":false,"family":"DeBruyne","given":"Robin","email":"","middleInitial":"L .","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":792690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseman, Edward F. 0000-0002-5315-9838","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":217909,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":792691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larson, Douglas","contributorId":228979,"corporation":false,"usgs":false,"family":"Larson","given":"Douglas","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":792692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McNaught, A. Scott","contributorId":228980,"corporation":false,"usgs":false,"family":"McNaught","given":"A. Scott","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":792693,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70205217,"text":"70205217 - 2019 - Black Carp in North America: A description of range, habitats, time of year, and methods of reported captures","interactions":[],"lastModifiedDate":"2019-10-28T10:18:37","indexId":"70205217","displayToPublicDate":"2019-08-29T11:53:05","publicationYear":"2019","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":"Black Carp in North America: A description of range, habitats, time of year, and methods of reported captures","docAbstract":"

Black Carp Mylopharyngodon piceus are considered invasive in North America. Since the first wild capture in 2003, collection records have increased, yet information summarizing successful collection methods is lacking. Reported capture methods throughout the Black Carp's native and introduced ranges vary providing minimal aid for determining control and monitoring methods. Here, we describe the current species range and the spatial and temporal variation among captures. The size of fish can affect capture; thus, we report captured fish and gear dimensions and recommend appropriate scientific collection methods. We focus on collection data from 302 Black Carp ranging from 410 to 1,607 mm total length received from 2011 to February 2019. The reported range of Black Carp has expanded in the Cumberland, Illinois, Mississippi, Missouri, Ohio, and Tennessee rivers. Captures most frequently occurred in channel (41%), side‐channel (24%), and backwater (22%) habitat types, with increased records in May, June, and July. Most records were commercial captures, of which hoop net (51%) and gill net (26%) were most common. Results suggest that standard scientific methods for sampling fish in large rivers and standing water by hoop net and gill net may be used to monitor Black Carp, but a robust study design needs to be applied to determine gear selectivity and to determine if catch rates are density dependent or incidental.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10340","usgsCitation":"Kroboth, P., Cox, C., Chapman, D., and Whitledge, G.W., 2019, Black Carp in North America: A description of range, habitats, time of year, and methods of reported captures: North American Journal of Fisheries Management, v. 39, no. 5, p. 1046-1055, https://doi.org/10.1002/nafm.10340.","productDescription":"10 p.","startPage":"1046","endPage":"1055","ipdsId":"IP-103675","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":467333,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10340","text":"Publisher Index Page"},{"id":437356,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XGRA5Q","text":"USGS data release","linkHelpText":"Black Carp in North America: a description of range, habitats, time of year, and methods of reported 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0000-0002-9447-4818","orcid":"https://orcid.org/0000-0002-9447-4818","contributorId":216578,"corporation":false,"usgs":true,"family":"Kroboth","given":"Patrick","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":770406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cox, Cortney 0000-0003-3851-3584","orcid":"https://orcid.org/0000-0003-3851-3584","contributorId":218826,"corporation":false,"usgs":true,"family":"Cox","given":"Cortney","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":770407,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":770408,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitledge, Gregory W.","contributorId":205604,"corporation":false,"usgs":false,"family":"Whitledge","given":"Gregory","email":"","middleInitial":"W.","affiliations":[{"id":32417,"text":"Southern Illinois University-Carbondale","active":true,"usgs":false}],"preferred":false,"id":770409,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70206098,"text":"70206098 - 2019 - Water velocity regulates macro-consumer herbivory on the benthic macrophyte Podostemum ceratophyllum Michx.","interactions":[],"lastModifiedDate":"2019-10-23T08:10:39","indexId":"70206098","displayToPublicDate":"2019-08-29T08:09:17","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Water velocity regulates macro-consumer herbivory on the benthic macrophyte Podostemum ceratophyllum Michx.","docAbstract":"1) Macrophytes influence aquatic ecosystems by increasing habitat complexity and providing trophic resources for aquatic fauna. While herbivory on freshwater macrophytes is widely documented in lakes, low-velocity riverine habitats, the influence of herbivory on macrophytes in higher-velocity habitats has rarely been examined. \n\n2) We investigated the hypothesis that high water velocity can reduce consumption rates of the submerged macrophyte, Podostemum ceratophyllum, an angiosperm which grows attached to stable substrates in high water-velocity riverine habitats throughout eastern North America. \n\n3) We estimated grazing-pressure by conducting short-term (up to 77-d) transplant and consumer-exclosure experiments, and quantified changes in Podostemum stem length when the plant was eposed to low (<0.5 m s-1) and higher velocities in two Piedmont rivers in Georgia (USA). Podostemum transplanted into low-velocity habitats rapidly lost stem length unless macro-consumers were excluded from accessing the plant. In contrast, Podostemum tranplanted into high-velocity habitats showed little change or gained stem length. \n\n4) We estimated that 85% (67 – 98%; 95% credible interval) of the daily stem growth (0.026 cm cm-1 day-1) in Podostemum was consumed during a 77-d paired consumer-access versus exclosure experiment conducted in mean water velocities of 0.35-0.5 m s-1. We also found a positive relation (R2 = 0.58) between Podostemum biomass and water velocity (ranging between ~0.1 -1.4 m s-1) in benthic samples collected over a two-month period. \n\n5) We conclude that high water velocity reduces herbivory on Podostemum, and that water velocity can thus control the acural of benthic plant biomass and the movement of plant-derived materials through benthic food webs. Our research has implications for estimating resource storage and flux in lotic food webs and illuminates a mechanism by which flow regulation and management may affect basal resources in rivers.","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13393","usgsCitation":"Wood, J.L., Skaggs, J.W., Conn, C.C., and Freeman, M., 2019, Water velocity regulates macro-consumer herbivory on the benthic macrophyte Podostemum ceratophyllum Michx.: Freshwater Biology, v. 64, no. 11, p. 2037-2045, https://doi.org/10.1111/fwb.13393.","productDescription":"9 p.","startPage":"2037","endPage":"2045","ipdsId":"IP-095841","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":368506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"64","issue":"11","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, James L","contributorId":219912,"corporation":false,"usgs":false,"family":"Wood","given":"James","email":"","middleInitial":"L","affiliations":[{"id":40096,"text":"West Liberty University","active":true,"usgs":false}],"preferred":false,"id":773571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skaggs, Jon W","contributorId":219913,"corporation":false,"usgs":false,"family":"Skaggs","given":"Jon","email":"","middleInitial":"W","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":773572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conn, Caitlin C","contributorId":219914,"corporation":false,"usgs":false,"family":"Conn","given":"Caitlin","email":"","middleInitial":"C","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":773573,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":773570,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70205094,"text":"70205094 - 2019 - Characterizing and imaging sedimentary strata using depth-converted spectral ratios: An example from the Atlantic Coastal Plain of the Eastern U.S.","interactions":[],"lastModifiedDate":"2019-09-03T09:49:54","indexId":"70205094","displayToPublicDate":"2019-08-28T09:47:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing and imaging sedimentary strata using depth-converted spectral ratios: An example from the Atlantic Coastal Plain of the Eastern U.S.","docAbstract":"Unconsolidated, near-surface sediments can have a profound influence on the amplitudes and frequencies of ground shaking during earthquakes, and these effects should be accounted for when using amplitude observations for seismic hazard assessments. This study explores methods to use teleseismic arrivals recorded on linear receiver arrays to characterize widespread, shallow sedimentary deposits, including estimation of the velocities, determination of the fundamental resonance peaks, and imaging of the major reflectors. The examples used are the extensive Atlantic Coastal Plain (ACP) and associated Mississippi Embayment (ME) strata of the Central and Eastern United States. The large contrast in material properties at the bedrock surface beneath these sediments produces a strong fundamental resonance peak in the 0.2 to 4 Hz frequency range, which is estimated here by computing spectral ratios at each receiver site relative to bedrock sites at the ends of the receiver arrays. Sediment thicknesses derived from published contour maps made from drill hole data allow for the computation of average velocities to match the observed frequencies of resonance peaks with theoretical values at each receiver site, with the sloping bedrock surface allowing for computation of an average velocity versus depth function if horizontal layers are assumed. The velocity function is then used to convert the spectral ratios from frequency to depth, resulting in an image of the subsurface similar to that of a seismic reflection profile. The results demonstrate the use of teleseismic signals for characterizing and imaging shallow sedimentary strata.\n ","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180046","usgsCitation":"Pratt, T.L., 2019, Characterizing and imaging sedimentary strata using depth-converted spectral ratios: An example from the Atlantic Coastal Plain of the Eastern U.S.: Bulletin of the Seismological Society of America, v. 108, no. 5A, p. 2801-2815, https://doi.org/10.1785/0120180046.","productDescription":"15 p.","startPage":"2801","endPage":"2815","ipdsId":"IP-098671","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":367129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic Coastal Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.498046875,\n 39.198205348894795\n ],\n [\n -77.7392578125,\n 38.71980474264237\n ],\n [\n -86.9677734375,\n 33.7243396617476\n ],\n [\n -92.0654296875,\n 32.58384932565662\n ],\n [\n -85.2978515625,\n 30.524413269923986\n ],\n [\n -81.1669921875,\n 27.994401411046148\n ],\n [\n -80.85937499999999,\n 26.391869671769022\n ],\n [\n -77.607421875,\n 31.052933985705163\n ],\n [\n -74.0478515625,\n 34.813803317113155\n ],\n [\n -75.1904296875,\n 39.13006024213511\n ],\n [\n -75.498046875,\n 39.198205348894795\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"108","issue":"5A","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":770000,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70206397,"text":"70206397 - 2019 - The nucleoprotein and phosphoprotein are major determinants of the virulence of viral hemorrhagic septicemia virus in rainbow trout","interactions":[],"lastModifiedDate":"2019-11-04T10:47:55","indexId":"70206397","displayToPublicDate":"2019-08-28T06:55:17","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2497,"text":"Journal of Virology","active":true,"publicationSubtype":{"id":10}},"title":"The nucleoprotein and phosphoprotein are major determinants of the virulence of viral hemorrhagic septicemia virus in rainbow trout","docAbstract":"

Viral hemorrhagic septicemia virus (VHSV), a fish rhabdovirus, infects several marine and freshwater fish species. There are many strains of VHSV that affect different fish, but some strains of one genetic subgroup have gained high virulence in rainbow trout (Oncorhynchus mykiss). To define the genetic basis of high virulence in trout, we used reverse genetics to create chimeric VHSVs in which viral nucleoprotein (N), P (phosphoprotein), or M (matrix protein) genes, or the N and P genes, were exchanged between a trout-virulent European VHSV strain (DK-3592B) and a trout-avirulent North American VHSV strain (MI03). Testing of the chimeric recombinant VHSV (rVHSV) by intraperitoneal injection in juvenile rainbow trout showed that exchanges of the viral P or M genes had no effect on the trout virulence phenotype of either parental strain. However, reciprocal exchanges of the viral N gene resulted in a partial gain of function in the chimeric trout-avirulent strain (22% mortality) and complete loss of virulence for the chimeric trout-virulent strain (2% mortality). Reciprocal exchanges of both the N and P genes together resulted in complete gain of function in the chimeric avirulent strain (82% mortality), again with complete loss of virulence in the chimeric trout-virulent strain (0% mortality). Thus, the VHSV N gene contains an essential determinant of trout virulence that is strongly enhanced by the viral P gene. We hypothesize that the host-specific virulence mechanism may involve increased efficiency of the viral polymerase complex when the N and P proteins have adapted to more efficient interaction with a host component from rainbow trout.

","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/JVI.00382-19","usgsCitation":"Vakharia, V.N., Liu, J., Mckenney, D., and Kurath, G., 2019, The nucleoprotein and phosphoprotein are major determinants of the virulence of viral hemorrhagic septicemia virus in rainbow trout: Journal of Virology, v. 93, e00382-19, https://doi.org/10.1128/JVI.00382-19.","productDescription":"e00382-19","ipdsId":"IP-105811","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":467335,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/jvi.00382-19","text":"Publisher Index Page"},{"id":368860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vakharia, Vikram N","contributorId":215226,"corporation":false,"usgs":false,"family":"Vakharia","given":"Vikram","email":"","middleInitial":"N","affiliations":[{"id":39210,"text":"Institute of Marine & Environmental Technology, University of Maryland Baltimore County, 701 E. Pratt Street, Baltimore, MD 21202 USA","active":true,"usgs":false}],"preferred":false,"id":774395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Jie","contributorId":201274,"corporation":false,"usgs":false,"family":"Liu","given":"Jie","email":"","affiliations":[],"preferred":false,"id":774396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mckenney, Douglas 0000-0003-3565-7670","orcid":"https://orcid.org/0000-0003-3565-7670","contributorId":220174,"corporation":false,"usgs":true,"family":"Mckenney","given":"Douglas","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":774397,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kurath, Gael 0000-0003-3294-560X","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":220175,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":774398,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70204973,"text":"70204973 - 2019 - Non-native marine fishes in Florida: Updated checklist, population status and early detection/rapid response","interactions":[],"lastModifiedDate":"2020-01-03T09:51:51","indexId":"70204973","displayToPublicDate":"2019-08-27T14:00:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":994,"text":"BioInvasions Records","active":true,"publicationSubtype":{"id":10}},"title":"Non-native marine fishes in Florida: Updated checklist, population status and early detection/rapid response","docAbstract":"It has been ten years since the last comprehensive assessment of non-native marine fishes in Florida. Herein, we report sightings of 41 species from Florida coastal waters since the earliest reported sighting in 1984. Information is provided on the population status of each species (e.g., established, eradicated, unknown), and our early detection/rapid response program to remove these fish is described. Of the 41 species, five have established reproducing populations. Nineteen species are either eradicated or failed, while the status of 17 additional species is unknown. Since 1999, 18 individuals comprising 13 species have been removed from coastal waters, most of which were collected through our early-detection/rapid-response program. Many of those fishes were transferred to public aquaria where they were displayed to provide educational information to the public. Most reports of non-native marine fishes originated from citizen scientists, emphasizing the importance of outreach and education.","language":"English","publisher":"REABIC","usgsCitation":"Schofield, P.J., and Akins, L., 2019, Non-native marine fishes in Florida: Updated checklist, population status and early detection/rapid response: BioInvasions Records, v. 8, no. 4, p. 898-910.","productDescription":"13 p.","startPage":"898","endPage":"910","ipdsId":"IP-106116","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":366970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366964,"type":{"id":15,"text":"Index Page"},"url":"https://www.reabic.net/journals/bir/2019/Issue4.aspx"}],"country":"United 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\"}}]}","volume":"8","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schofield, Pamela J. 0000-0002-8752-2797 pschofield@usgs.gov","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":168659,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela","email":"pschofield@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":769366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Akins, Lad","contributorId":218481,"corporation":false,"usgs":false,"family":"Akins","given":"Lad","email":"","affiliations":[{"id":39854,"text":"Blue Earth Conservation; Phillip and Patricia Frost Museum of Science","active":true,"usgs":false}],"preferred":false,"id":769367,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70204522,"text":"sir20195072 - 2019 - Arsenic, antimony, mercury, and water temperature in streams near Stibnite mining area, central Idaho, 2011–17","interactions":[],"lastModifiedDate":"2019-08-28T10:27:00","indexId":"sir20195072","displayToPublicDate":"2019-08-27T13:23:40","publicationYear":"2019","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":"2019-5072","displayTitle":"Arsenic, Antimony, Mercury, and Water Temperature in Streams near Stibnite Mining Area, Central Idaho, 2011–17","title":"Arsenic, antimony, mercury, and water temperature in streams near Stibnite mining area, central Idaho, 2011–17","docAbstract":"Mineralization and historical mining of stibnite (antimony sulfide), tungsten, gold, silver, and mercury in the headwaters of the East Fork of the South Fork Salmon River (EFSFSR) near the former town of Stibnite in central Idaho resulted in water-quality impairments related to mercury, antimony, and arsenic. Additionally, mining-related disturbances and wildfires have resulted in a lack of riparian shade in some areas, likely impacting water temperatures. In 2011, the U.S. Geological Survey, in cooperation with Midas Gold Corporation and the Idaho Department of Lands, began a study to characterize the spatial and temporal occurrence of trace metals to the EFSFSR. Five sites on the EFSFSR and its tributaries (Meadow and Sugar Creeks) were sampled about six times annually during 2011–17, during a range of streamflow conditions, for a total of 36–40 samples per location. Continuous water temperature, specific conductance, and streamflow also were measured at each site. The purpose of this report is to update previously reported information related to arsenic, antimony, mercury, and water temperature.\n\nConcentrations of dissolved arsenic and antimony generally increased from upstream to downstream in the EFSFSR. At the upstream site, upstream of the Meadow Creek confluence, dissolved arsenic and antimony concentrations averaged 8.86 and 0.93 micrograms per liter (μg/L), respectively. Downstream, upstream from the Sugar Creek confluence, average dissolved concentrations increased to 56.5 and 27.9 μg/L, respectively. All samples from the downstream EFSFSR site exceeded the human-health based criterion for both dissolved arsenic (10 µg/L) and dissolved antimony (5.6 µg/L). The chronic aquatic life criterion for dissolved arsenic (150 μg/L) was not exceeded (the maximum sample concentration was 108 μg/L), and aquatic life criteria for antimony have not been established. The highest concentrations of both dissolved arsenic and dissolved antimony occurred during low-flow periods (July–March), suggesting the constituents are present in groundwater. In contrast, total mercury concentrations were highest during high-flow periods (April–June) and were particulate-associated, suggesting that mercury is present in surface materials. At Sugar Creek, where the highest total mercury concentrations were measured, 97 percent of samples exceeded the chronic aquatic life criterion (0.012 μg/L) and 11 percent exceeded the acute criterion (2.1 μg/L). At all sites, summertime water temperatures frequently exceeded criteria related to salmonid spawning.\n\nSurrogate models previously developed to estimate continuous concentrations of arsenic, antimony, and mercury were reevaluated and updated, and the importance of explanatory variables on constituent concentrations is discussed. Results from this study can help guide future remediation locations and strategies, and provide a baseline against which future changes can be measured.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195072","collaboration":"Prepared in cooperation with the Idaho Department of Lands and Midas Gold Idaho, Inc.","usgsCitation":"Baldwin, A.K., and Etheridge, A.B., 2019, Arsenic, antimony, mercury, and water temperature in streams near Stibnite mining area, central Idaho, 2011–17: U.S. Geological Survey Scientific Investigations Report 2019-5072, 20 p., plus appendix, https://doi.org/10.3133/sir20195072.","productDescription":"Report: vi, 20 p.; Appendix","onlineOnly":"Y","ipdsId":"IP-093353","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":366989,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5072/coverthb.jpg"},{"id":366990,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5072/sir20195072.pdf","text":"Report","size":"1.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5072"},{"id":366991,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2019/5072/sir20195072_appendix.pdf","text":"Appendix","size":"1.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5072 Appendix","linkHelpText":" — Surrogate Regression Model Archive Summaries."}],"country":"United States","state":"Idaho","otherGeospatial":"Stibnite Mining Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.67985534667969,\n 44.793530904744074\n ],\n [\n -115.14564514160158,\n 44.793530904744074\n ],\n [\n -115.14564514160158,\n 45.15541134861056\n ],\n [\n -115.67985534667969,\n 45.15541134861056\n ],\n [\n -115.67985534667969,\n 44.793530904744074\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Rd
Boise, Idaho 83702-4520

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-08-27","noUsgsAuthors":false,"publicationDate":"2019-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":767385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Etheridge, Alexandra B. 0000-0003-1282-7315 aetherid@usgs.gov","orcid":"https://orcid.org/0000-0003-1282-7315","contributorId":3542,"corporation":false,"usgs":true,"family":"Etheridge","given":"Alexandra","email":"aetherid@usgs.gov","middleInitial":"B.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":767386,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70204980,"text":"ofr20191097 - 2019 - Juvenile Chinook salmon (Oncorhynchus tshawytscha) survival in Lookout Point Reservoir, Oregon, 2018","interactions":[],"lastModifiedDate":"2019-08-28T10:07:50","indexId":"ofr20191097","displayToPublicDate":"2019-08-27T13:00:05","publicationYear":"2019","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":"2019-1097","displayTitle":"Juvenile Chinook Salmon (Oncorhynchus tshawytscha) Survival in Lookout Point Reservoir, Oregon, 2018","title":"Juvenile Chinook salmon (Oncorhynchus tshawytscha) survival in Lookout Point Reservoir, Oregon, 2018","docAbstract":"

A field study was conducted to estimate survival of juvenile Chinook salmon (Oncorhynchus tshawytscha) in Lookout Point Reservoir, Oregon, during 2018. The study consisted of releasing three groups of genetically-marked fish into the reservoir, and sampling them monthly. Juveniles were released during April 10–13 (116,708 fish), May 15–18 (31,911 fish), and June 19–20 (11,758 fish). Reservoir sampling began in May and occurred monthly through October, consisting of 5-day events where juvenile Chinook salmon were collected using electrofishing, shoreline traps, and gill nets. Data were analyzed using a staggered release-recovery model and a parentage-based tagging (PBT) N-mixture model. The staggered release-recovery model provided survival estimates from three periods: mid-April to mid-May (SSRRM1); mid-May to mid-June (SSRRM2); and mid-April to mid-June (SSRRM12). Multiple estimates of survival were possible for each period using different combinations of recovery data from the three groups of fish that were released. Survival probability estimates for SSRRM1 ranged from 0.98520 to 0.98954; estimates for SSRRM2 ranged from 0.09338 to 0.62142; and the estimate for cumulative survival from mid-April to mid-June (SSRRM12) were 0.75211. We suspect that issues with release groups in May (R2) and June (R3) led to biased survival results using the staggered release-recovery model. The PBT N-mixture model provided survival estimates from six periods: mid-April to mid-May (SNMIX1); mid-May to mid-June (SNMIX2), mid-June to mid-July (SNMIX3), mid-July to mid-August (SNMIX4), mid-August to mid-September (SNMIX5); and mid-September to mid-October (SNMIX6). Survival estimates from the PBT N-mixture model were lowest for SNMIX6 (0.41620) and highest for SNMIX1 (0.79587). These results differed from those in 2017 when monthly survival increased across months. This suggests that one or more factors could have affected juvenile Chinook salmon survival in Lookout Point Reservoir. One possible factor could be copepods (which were highly prevalent on juvenile Chinook salmon during summer 2018), but environmental factors such as reserveroir elevation, discharge at Lookout Point Dam, and fish distributions within the reservoir differed between study years. Two PBT N-mixture models provided cumulative survival estimates from mid-April to mid-October. Estimates from the two models were 0.061 and 0.039, which suggests that survival of subyearling Chinook salmon in Lookout Point Reservoir was very low in 2018. Additional research is recommended to better understand inter-annual variability of subyearling Chinook salmon in the reservoir and to gain insights into factors that affect their survival.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191097","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers and Oregon State University","usgsCitation":"Kock, T.J., Perry, R.W., Hansen, G.S., Haner, P.V., Pope, A.C., Plumb, J.M., Cogliati, K.M., and Hansen, A.C., 2019, Juvenile Chinook salmon (Oncorhynchus tshawytscha) survival in Lookout Point Reservoir, Oregon, 2018: U.S. Geological Survey Open-File Report 2019–1097, 41 p., https://doi.org/10.3133/ofr20191097.","productDescription":"vi, 41 p.","onlineOnly":"Y","ipdsId":"IP-108747","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":366974,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1097/coverthb.jpg"},{"id":366975,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1097/ofr20191097.pdf","text":"Report","size":"6.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1097"}],"country":"United States","state":"Oregon","otherGeospatial":"Lookout Point Reservoir, Middle Fork Willamette River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.8165054321289,\n 43.80009302166679\n ],\n [\n -122.55970001220705,\n 43.80009302166679\n ],\n [\n -122.55970001220705,\n 43.93919224634882\n ],\n [\n -122.8165054321289,\n 43.93919224634882\n ],\n [\n -122.8165054321289,\n 43.80009302166679\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-08-27","noUsgsAuthors":false,"publicationDate":"2019-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":769390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":769391,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Gabriel S. 0000-0001-6272-3632 ghansen@usgs.gov","orcid":"https://orcid.org/0000-0001-6272-3632","contributorId":3422,"corporation":false,"usgs":true,"family":"Hansen","given":"Gabriel","email":"ghansen@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":769392,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haner, Philip V. 0000-0001-6940-487X phaner@usgs.gov","orcid":"https://orcid.org/0000-0001-6940-487X","contributorId":2364,"corporation":false,"usgs":true,"family":"Haner","given":"Philip","email":"phaner@usgs.gov","middleInitial":"V.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":769393,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pope, Adam C. 0000-0002-7253-2247 apope@usgs.gov","orcid":"https://orcid.org/0000-0002-7253-2247","contributorId":5664,"corporation":false,"usgs":true,"family":"Pope","given":"Adam","email":"apope@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":769394,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Plumb, John M. 0000-0003-4255-1612 jplumb@usgs.gov","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":3569,"corporation":false,"usgs":true,"family":"Plumb","given":"John","email":"jplumb@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":769395,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cogliati, Karen M.","contributorId":200086,"corporation":false,"usgs":false,"family":"Cogliati","given":"Karen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":769396,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hansen, Amy C. 0000-0002-0298-9137 achansen@usgs.gov","orcid":"https://orcid.org/0000-0002-0298-9137","contributorId":4350,"corporation":false,"usgs":true,"family":"Hansen","given":"Amy","email":"achansen@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":769397,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70219470,"text":"70219470 - 2019 - Laboratory experiments of volcanic ash resuspension by wind","interactions":[],"lastModifiedDate":"2021-04-08T12:26:43.585812","indexId":"70219470","displayToPublicDate":"2019-08-27T07:24:14","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8113,"text":"Journal of Geophysical Research - Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"Laboratory experiments of volcanic ash resuspension by wind","docAbstract":"

Fresh volcanic eruption deposits tend to be loose, bare, and readily resuspended by wind. Major resuspension events in Patagonia, Iceland, and Alaska have lofted ash clouds with potential to impact aircraft, infrastructure, and downwind communities. However, poor constraints on this resuspension process limit our ability to model this phenomenon. Here, we present laboratory experiments measuring threshold shear velocities and emission rates of resuspended ash under different environmental conditions, including relative humidity of 25–75% and simulated rainfall with subsequent drying. Eruption deposits were replicated using ash collected from two major eruptions: the 18 May 1980 eruption of Mount St. Helens and the 1912 eruption of Novarupta, in Alaska's Valley of Ten Thousand Smokes. Samples were conditioned in a laboratory chamber and prepared with bulk deposit densities of 1,300–1,500 kg/m3. A control sample of dune sand was included for comparison. The deposits were subjected to different wind speeds using a modified PI‐SWERL® instrument. Under a constant relative humidity of 50% and shear velocities 0.4–0.8 m/s, PM10 emission by resuspension ranged from 10 to >100 mg·m−2·s−1. Addition of liquid water equivalent to 5 mm of rainfall had little lasting effect on Mount St. Helens wind erosion potential, while the Valley of Ten Thousand Smokes deposits exhibited lower emissions for at least 12 days. The results indicate that particle resuspension due to wind erosion from ash deposits potentially exceeds that of most desert surfaces and approaches some of the highest emissions ever measured.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JD030076","usgsCitation":"Etyemezian, V., Gillies, J., Mastin, L.G., Crawford, A., Hasson, R., Van Eaton, A.R., and Nikolich, G., 2019, Laboratory experiments of volcanic ash resuspension by wind: Journal of Geophysical Research - Atmospheres, v. 124, no. 16, p. 9534-9560, https://doi.org/10.1029/2018JD030076.","productDescription":"27 p.","startPage":"9534","endPage":"9560","ipdsId":"IP-108983","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467337,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jd030076","text":"Publisher Index Page"},{"id":384919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"16","noUsgsAuthors":false,"publicationDate":"2019-08-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Etyemezian, Vicken","contributorId":257030,"corporation":false,"usgs":false,"family":"Etyemezian","given":"Vicken","email":"","affiliations":[{"id":51959,"text":"Desert Research Institute, Las Vegas, Nevada","active":true,"usgs":false}],"preferred":false,"id":813692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gillies, Jack","contributorId":257031,"corporation":false,"usgs":false,"family":"Gillies","given":"Jack","email":"","affiliations":[{"id":51959,"text":"Desert Research Institute, Las Vegas, Nevada","active":true,"usgs":false}],"preferred":false,"id":813693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":813694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crawford, Alice","contributorId":257032,"corporation":false,"usgs":false,"family":"Crawford","given":"Alice","email":"","affiliations":[{"id":51961,"text":"National Oceanic and Atmospheric Administration, College Park, MD","active":true,"usgs":false}],"preferred":false,"id":813695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hasson, Robert","contributorId":257033,"corporation":false,"usgs":false,"family":"Hasson","given":"Robert","email":"","affiliations":[{"id":51963,"text":"U.S. Department of Energy, Environmental Management Consolidated Business Center, Cincinnati, OH","active":true,"usgs":false}],"preferred":false,"id":813696,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":813697,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nikolich, G.","contributorId":257034,"corporation":false,"usgs":false,"family":"Nikolich","given":"G.","email":"","affiliations":[{"id":51959,"text":"Desert Research Institute, Las Vegas, Nevada","active":true,"usgs":false}],"preferred":false,"id":813698,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70204773,"text":"sir20195078 - 2019 - Hydrologic balance, water quality, chemical-mass balance, and geochemical modeling of hyperalkaline ponds at Big Marsh, Chicago, Illinois, 2016–17","interactions":[],"lastModifiedDate":"2019-08-27T09:23:30","indexId":"sir20195078","displayToPublicDate":"2019-08-27T03:55:27","publicationYear":"2019","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":"2019-5078","displayTitle":"Hydrologic Balance, Water Quality, Chemical-Mass Balance, and Geochemical Modeling of Hyperalkaline Ponds at Big Marsh, Chicago, Illinois, 2016–17","title":"Hydrologic balance, water quality, chemical-mass balance, and geochemical modeling of hyperalkaline ponds at Big Marsh, Chicago, Illinois, 2016–17","docAbstract":"

Hyperalkaline (pH greater than 12) ponds and groundwater exist at Big Marsh near Lake Calumet, Chicago, Illinois, a site used by the steel industry during the mid-1900s to deposit steel- and iron-making waste, in particular, slag. The hyperalkaline ponds may pose a hazard to human health and the environment. The U.S. Geological Survey (USGS), in cooperation with the Environmental Protection Agency (EPA) and in collaboration with the City of Chicago’s Park District, completed a study to evaluate the hydrologic balance, water quality, and chemical-mass balance of hyperalkaline ponds at Big Marsh and geochemical modeling used to evaluate remediation options for water quality at the site based on data collected in 2016–17.

Synoptic measurements of surface-water and groundwater elevations were used to determine flow directions and to enable a preliminary estimate of the hydrologic balance for the ponds. Water-quality samples also were collected and analyzed for selected constituents including major anions and cations, nutrients, metals, and trace elements. The results of the water-quality analyses were used to develop a geochemical model to evaluate concentrations, factors affecting pH, and the state of equilibrium between surface waters and atmospheric carbon dioxide. The geochemical model was used to evaluate remediation scenarios using riprap, spillways, or active aeration. The results indicate that active aeration will decrease the pH to near 7.5 in about 8 hours, the fastest rate of the scenarios. Passive aeration, such as riprap or spillways, also can be effective at decreasing the pH in about 45 hours, but spatial obstacles limit their implementation. Seasonal variations in temperature also affect the rate of equilibration, where colder temperatures may have a lower pH than warmer temperatures and may affect the timing and frequency of remediation.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195078","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Brownfields Program, and in collaboration with the City of Chicago’s Park District","usgsCitation":"Gahala, A.M., Seal, R.R., and Piatak, N.M., 2019, Hydrologic balance, water quality, chemical-mass balance, and geochemical modeling of hyperalkaline ponds at Big Marsh, Chicago, Illinois, 2016–17: U.S. Geological Survey Scientific Investigations Report 2019–5078, 31 p., https://doi.org/10.3133/sir20195078.","productDescription":"Report: vi, 31 p.; Data Release","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-091826","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science 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Director, Central Midwest Water Science Center
U.S. Geological Survey
405 North Goodwin
Urbana, IL 61801

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-08-27","noUsgsAuthors":false,"publicationDate":"2019-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Gahala, Amy M. 0000-0003-2380-2973","orcid":"https://orcid.org/0000-0003-2380-2973","contributorId":213530,"corporation":false,"usgs":true,"family":"Gahala","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seal,, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":141204,"corporation":false,"usgs":true,"family":"Seal,","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":768412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":193010,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":768413,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70204430,"text":"sir20195066 - 2019 - Development and evaluation of a record extension technique for estimating discharge at selected stream sites in New Hampshire","interactions":[],"lastModifiedDate":"2019-08-26T11:49:51","indexId":"sir20195066","displayToPublicDate":"2019-08-26T12:00:00","publicationYear":"2019","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":"2019-5066","displayTitle":"Development and Evaluation of a Record Extension Technique for Estimating Discharge at Selected Stream Sites in New Hampshire","title":"Development and evaluation of a record extension technique for estimating discharge at selected stream sites in New Hampshire","docAbstract":"

Daily mean discharges are needed for rivers in New Hampshire for the management of instream flows. It is impractical, however, to continuously gage all streams in New Hampshire, and at many sites where information is needed, the discharge data required do not exist. For such sites, techniques for estimating discharge are available. The U.S. Geological Survey, in cooperation with the New Hampshire Department of Environmental Services, developed and evaluated the accuracy of estimated discharge records for six discontinued U.S. Geological Survey streamgages in New Hampshire.

The estimated records were developed by using the maintenance of variance extension, type 1 (MOVE.1), record extension technique and were generated for periods with concurrent observed records to allow for evaluation. The six discontinued streamgages were on New Hampshire designated rivers throughout the State and had drainage areas ranging from 35.6 to 395 square miles with little to no regulation.

Estimated records for four of the six streamgages had Nash-Sutcliffe efficiency coefficients greater than 0.85. The other two streamgages had Nash-Sutcliffe efficiency coefficients between 0.45 and 0.60. For the four streamgages with the higher Nash-Sutcliffe efficiency coefficients, more than 35 percent of the estimated record was within 15 percent of the observed record. At the other two streamgages, more than 23 percent of the estimated record was within 15 percent of the observed record.

At lower discharges (exceeded 80 percent of the time), for four of the six streamgages, more than 40 percent of the estimated record was within 15 percent of the observed record. The site with the lowest Nash-Sutcliffe efficiency coefficient had more than 14 percent of the estimated record at low discharges within 15 percent of the observed record.

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Director, New England Water Science Center
U.S. Geological Survey
331 Commerce Way, Suite 2
Pembroke, NH 03275

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2019-08-26","noUsgsAuthors":false,"publicationDate":"2019-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Olson, Scott A. 0000-0002-1064-2125","orcid":"https://orcid.org/0000-0002-1064-2125","contributorId":210173,"corporation":false,"usgs":true,"family":"Olson","given":"Scott A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyerhofer, Abraham J. 0000-0001-7358-5714","orcid":"https://orcid.org/0000-0001-7358-5714","contributorId":217481,"corporation":false,"usgs":true,"family":"Meyerhofer","given":"Abraham","email":"","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766880,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70204488,"text":"fs20193035 - 2019 - Santa Rosa's past and future earthquakes","interactions":[],"lastModifiedDate":"2019-08-26T14:45:49","indexId":"fs20193035","displayToPublicDate":"2019-08-26T09:20:03","publicationYear":"2019","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":"2019-3035","displayTitle":"Santa Rosa’s Past and Future Earthquakes","title":"Santa Rosa's past and future earthquakes","docAbstract":"

Santa Rosa is no stranger to earthquakes. This northern California city was damaged several times in the late 19th and early 20th centuries by shaking from earthquakes, culminating in the devastating earthquake of 1906, whose rupture passed 20 miles to the west of the city on the San Andreas Fault. Then in 1969, Santa Rosa was again strongly shaken and buildings were damaged by a pair of nearby, moderate-sized earthquakes on the Rodgers Creek Fault. Since then, scientists have learned how the underlying geology increases shaking damage in Santa Rosa, have mapped where the Rodgers Creek Fault runs beneath the city, and have discovered that this fault is capable of much larger earthquakes. Following the 1969 earthquakes, Santa Rosa rose to the challenge of improving seismic safety; however, continued progress is needed to increase seismic resilience and reduce the impact of future earthquakes.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193035","usgsCitation":"Hecker, S., McPhee, D.K., Langenheim, V.E., and Watt, J.T., 2019, Santa Rosa's past and future earthquakes: U.S. Geological Survey Fact Sheet 2019–3035, 4 p., https://doi.org/10.3133/fs20193035. ","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-102642","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":366908,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3035/fs20193035.pdf","text":"Report","size":"5.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2019-3035"},{"id":366907,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3035/coverthb.jpg"}],"country":"United States","state":"California","city":"Santa Rosa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.12927246093751,\n 38.11727165830543\n ],\n [\n -122.26409912109375,\n 38.11727165830543\n ],\n [\n -122.26409912109375,\n 38.603993275591684\n ],\n [\n -123.12927246093751,\n 38.603993275591684\n ],\n [\n -123.12927246093751,\n 38.11727165830543\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Earthquake Science Center
U.S. Geological Survey
345 Middlefield Road, MS 977
Menlo Park, California 94025

","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-08-26","noUsgsAuthors":false,"publicationDate":"2019-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hecker, Suzanne 0000-0002-5054-372X","orcid":"https://orcid.org/0000-0002-5054-372X","contributorId":217669,"corporation":false,"usgs":true,"family":"Hecker","given":"Suzanne","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":767213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McPhee, Darcy K. 0000-0002-5177-3068","orcid":"https://orcid.org/0000-0002-5177-3068","contributorId":212789,"corporation":false,"usgs":true,"family":"McPhee","given":"Darcy","email":"","middleInitial":"K.","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":767214,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langenheim, Victoria E. 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":206978,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":767215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watt, Janet T. 0000-0002-4759-3814","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":208207,"corporation":false,"usgs":true,"family":"Watt","given":"Janet T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":767216,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70223459,"text":"70223459 - 2019 - A food web modeling assessment of Asian Carp impacts in the Middle and Upper Mississippi River, USA","interactions":[],"lastModifiedDate":"2021-08-27T14:02:47.223956","indexId":"70223459","displayToPublicDate":"2019-08-26T08:49:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5453,"text":"Food Webs","active":true,"publicationSubtype":{"id":10}},"title":"A food web modeling assessment of Asian Carp impacts in the Middle and Upper Mississippi River, USA","docAbstract":"

The invasion of non-native fishes has caused a great detriment to many of our native fishes. Since the introduction of invasive carps, such as Silver, Bighead, Common and Grass Carp, managers and researcher have been struggling to remove these species while also hypothesizing the detriment of further invasion. This study developed a food web model of four locations on the Mississippi River and used those models to assess the impacts of two scenarios: carp removal and carp invasion. In the Middle Mississippi River where these invasive carps are already present, the models found that it would take a sustained exploitation of up to 30% of initial biomass over an extended period to remove Grass Carp and up to 90% removal of initial biomass to remove Silver and Bighead Carp. In the locations where Silver, Bighead, and Grass Carp are not yet established (i.e., Pools 4,8, and 13) the invasion of these species could cause declines from 10 to 30% in initial biomass of native fishes as well as already established nonnative invasive species.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.fooweb.2019.e00120","usgsCitation":"Kramer, N.W., Phelps, Q.E., Pierce, C., and Colvin, M., 2019, A food web modeling assessment of Asian Carp impacts in the Middle and Upper Mississippi River, USA: Food Webs, v. 21, e00120, 9 p., https://doi.org/10.1016/j.fooweb.2019.e00120.","productDescription":"e00120, 9 p.","ipdsId":"IP-103332","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467338,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1330&context=nrem_pubs","text":"External Repository"},{"id":388582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Middle and Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.5770263671875,\n 37.09900294387622\n ],\n [\n -89.35455322265625,\n 37.09900294387622\n ],\n [\n -89.35455322265625,\n 37.57070524233116\n ],\n [\n -89.5770263671875,\n 37.57070524233116\n ],\n [\n -89.5770263671875,\n 37.09900294387622\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.03659057617188,\n 44.31058342934815\n ],\n [\n -91.91024780273438,\n 44.31058342934815\n ],\n [\n -91.91024780273438,\n 44.414654778606874\n ],\n [\n -92.03659057617188,\n 44.414654778606874\n ],\n [\n -92.03659057617188,\n 44.31058342934815\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.2802505493164,\n 43.57516780951105\n ],\n [\n -91.2081527709961,\n 43.57516780951105\n ],\n [\n -91.2081527709961,\n 43.74108839068835\n ],\n [\n -91.2802505493164,\n 43.74108839068835\n ],\n [\n -91.2802505493164,\n 43.57516780951105\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.2581787109375,\n 41.83478149415483\n ],\n [\n -90.076904296875,\n 41.83478149415483\n ],\n [\n -90.076904296875,\n 42.157295553651664\n ],\n [\n -90.2581787109375,\n 42.157295553651664\n ],\n [\n -90.2581787109375,\n 41.83478149415483\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kramer, Nicholas W.","contributorId":264840,"corporation":false,"usgs":false,"family":"Kramer","given":"Nicholas","email":"","middleInitial":"W.","affiliations":[{"id":17621,"text":"Southeast Missouri State University","active":true,"usgs":false}],"preferred":false,"id":822082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phelps, Quinton E.","contributorId":264841,"corporation":false,"usgs":false,"family":"Phelps","given":"Quinton","email":"","middleInitial":"E.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":822083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierce, Clay 0000-0001-5088-5431 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":822081,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Colvin, Michael E.","contributorId":264842,"corporation":false,"usgs":false,"family":"Colvin","given":"Michael E.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":822084,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70223496,"text":"70223496 - 2019 - Invertebrate prey contributions to juvenile Coho Salmon diet from riparian habitats along three Alaska streams: Implications for environmental change","interactions":[],"lastModifiedDate":"2021-08-31T13:39:20.889311","indexId":"70223496","displayToPublicDate":"2019-08-26T08:30:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Invertebrate prey contributions to juvenile Coho Salmon diet from riparian habitats along three Alaska streams: Implications for environmental change","docAbstract":"

Stream fish rely on a mix of terrestrial and aquatic prey sources. While the importance of terrestrial invertebrates as a food source for stream fish is well documented, the role of aquatic insects that emerge from the stream as winged adult insects (aquatic winged adults) and return to the stream as prey is less understood. In this study we determined the proportion of total diet for stream-rearing juvenile Coho Salmon (Oncorhynchus kisutch) that is derived from terrestrial and aquatic winged adult invertebrates which enter the stream from riparian habitats and consider how those cross-ecosystem prey contributions vary based on riparian habitat type. Study reaches were identified in three streams within the Kenai River watershed of Alaska that were representative of habitats found throughout the region and riparian vegetation was classified into grass/sedge, shrub and tree types using LiDAR. Juvenile Coho Salmon stomach contents were sampled seasonally in study reaches over a two-year period and ingested invertebrates were identified by taxa, life stage and origin. Our results showed that aquatic winged adult prey contributions to juvenile salmon diet were significantly lower in the grass/sedge study reach, and cross-ecosystem invertebrate prey represented a significantly higher proportion of juvenile salmon diet in the tree study reach. Invertebrate prey in the grass/sedge reach were composed primarily of the larval life stage of aquatic winged adults. These results suggest that change in riparian vegetation from tree/shrub to grass/sedge along Kenai streams as projected by regional climate change models, or that results from anthropogenic modification, will likely lead to lower availability of cross-ecosystem prey for stream fish. Management of riparian buffers along streams to preserve or increase occurrence of trees and shrubs is likely to help mitigate impacts of those possible changes.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2019.1642243","usgsCitation":"Grunblatt, J., Meyer, B., and Wipfli, M.S., 2019, Invertebrate prey contributions to juvenile Coho Salmon diet from riparian habitats along three Alaska streams: Implications for environmental change: Journal of Freshwater Ecology, v. 34, no. 1, p. 617-631, https://doi.org/10.1080/02705060.2019.1642243.","productDescription":"16 p.","startPage":"617","endPage":"631","ipdsId":"IP-103789","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467339,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2019.1642243","text":"Publisher Index Page"},{"id":388688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kenai watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -152.369384765625,\n 59.77852198502987\n ],\n [\n -148.919677734375,\n 59.77852198502987\n ],\n [\n -148.919677734375,\n 61.312451574838214\n ],\n [\n -152.369384765625,\n 61.312451574838214\n ],\n [\n -152.369384765625,\n 59.77852198502987\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Grunblatt, Jess","contributorId":264907,"corporation":false,"usgs":false,"family":"Grunblatt","given":"Jess","affiliations":[{"id":54579,"text":"uak","active":true,"usgs":false}],"preferred":false,"id":822179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Benjamin E.","contributorId":264908,"corporation":false,"usgs":false,"family":"Meyer","given":"Benjamin E.","affiliations":[{"id":54579,"text":"uak","active":true,"usgs":false}],"preferred":false,"id":822180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":822178,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70204839,"text":"sir20195067 - 2019 - Flood-inundation maps for a 23-mile reach of the Medina River at Bandera, Texas, 2018","interactions":[],"lastModifiedDate":"2019-08-26T05:37:05","indexId":"sir20195067","displayToPublicDate":"2019-08-26T05:36:50","publicationYear":"2019","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":"2019-5067","displayTitle":"Flood-Inundation Maps for a 23-Mile Reach of the Medina River at Bandera, Texas, 2018","title":"Flood-inundation maps for a 23-mile reach of the Medina River at Bandera, Texas, 2018","docAbstract":"

In 2018, the U.S. Geological Survey (USGS), in cooperation with the Bandera County River Authority and Groundwater District and the Texas Water Development Board, studied floods through the period of record to create a library of flood-inundation maps for the Medina River at Bandera, Texas. Digital flood-inundation maps for a 23-mile reach of the Medina River at and near Bandera, from the confluence with Winans Creek to English Crossing Road, were developed. The flood-inundation maps depict estimates of the areal extent and depth of flooding corresponding to a range of different gage heights (gage height is commonly referred to as “stage,” or the water-surface elevation at a streamflow-gaging station) at USGS streamflow-gaging station 08178880 Medina River at Bandera, Tex. (hereinafter referred to as the “Bandera station”). Water-surface profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The stage-discharge (streamflow) relation effective in 2018 was used to calibrate the model, and stages from four recent flood events were used to independently validate the model. The calibrated hydraulic model was then used to compute 29 water-surface profiles for stages at 1-foot (ft) increments referenced to the station datum and ranging from 10 ft (near bankfull) to 38 ft, which exceeds the major flood stage of the National Weather Service Advanced Hydrologic Prediction Service of 24 ft. The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from light detection and ranging data having a 0.4-ft vertical accuracy and 1.6-ft horizontal resolution) to delineate the area flooded for stages ranging from 10 to 38 ft.

The digital flood-inundation maps are delivered through the USGS Flood Inundation Mapper application that presents map libraries and provides detailed information on flood-inundation extents and stages for modeled sites. The flood-inundation maps developed in this study, in conjunction with the real-time stage data from the Bandera station, are intended to help guide the public in taking individual safety precautions and provide emergency management personnel with a tool to efficiently manage emergency flood operations and post-flood recovery efforts.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195067","collaboration":"Prepared in cooperation with the Bandera County River Authority and Groundwater District and the Texas Water Development Board","usgsCitation":"Choi, N., and Engel, F.L., 2019, Flood-inundation maps for a 23-mile reach of the Medina River at Bandera, Texas, 2018: U.S. Geological Survey Scientific Investigations Report 2019–5067, 15 p., https://doi.org/10.3133/sir20195067.","productDescription":"Report: viii, 15 p.; Fact Sheet: 2 p.; Data Release","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-104084","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":366755,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://doi.org/10.3133/fs20193043","text":"FS 2019–3043","size":"895 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3043","linkHelpText":" Flood Warning Toolset for the Medina River in Bandera County, Texas"},{"id":366756,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WYD6LS","text":"USGS data release ","linkHelpText":"Geospatial and survey data for flood-inundation maps in a 23-mile reach of the Medina River at Bandera, Texas, 2018"},{"id":366666,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5067/coverthb.jpg"},{"id":366667,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5067/sir20195067.pdf","text":"Report","size":"3.12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5067"}],"contact":"

Director, Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, Texas 78754–4501

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-08-26","noUsgsAuthors":false,"publicationDate":"2019-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Choi, Namjeong 0000-0002-9526-0504","orcid":"https://orcid.org/0000-0002-9526-0504","contributorId":218207,"corporation":false,"usgs":true,"family":"Choi","given":"Namjeong","email":"","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engel, Frank L. 0000-0002-4253-2625","orcid":"https://orcid.org/0000-0002-4253-2625","contributorId":218208,"corporation":false,"usgs":true,"family":"Engel","given":"Frank","middleInitial":"L.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768692,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70204706,"text":"fs20193043 - 2019 - Flood warning toolset for the Medina River in Bandera County, Texas","interactions":[],"lastModifiedDate":"2019-08-26T10:00:48","indexId":"fs20193043","displayToPublicDate":"2019-08-26T05:35:59","publicationYear":"2019","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":"2019-3043","displayTitle":"Flood Warning Toolset for the Medina River in Bandera County, Texas","title":"Flood warning toolset for the Medina River in Bandera County, Texas","docAbstract":"

Overview

Floods are the most common natural disaster in the United States. The Medina River in Bandera County, Texas, is in the Edwards Plateau, where high-intensity rain rates and steep terrain frequently contribute to severe flash flooding capable of causing loss of life and property. For example, the July 5, 2002, flood claimed a total of 12 lives in the central Texas area. The estimated peak discharge during this flood at U.S. Geological Survey (USGS) streamflow-gaging station 08178880 Medina River at Bandera, Tex., was 159,000 cubic feet per second (corresponding to a stage or gage height of 38.91 feet), causing significant flooding in Bandera near Mud Creek and farther downstream.

In 2018, the USGS, in cooperation with the Bandera County River Authority and Groundwater District and the Texas Water Development Board, developed a flood early-warning toolset to enhance the communication of flood risk and provide emergency management with additional information to improve flood response and mitigation. This toolset consists of a continuous streamflow-gage monitoring network, a well-calibrated hydraulic model of the Medina River, and a flood-inundation mapper application for the study area. A library of flood-inundation maps tied to the National Weather Service river stage forecast capability is included with the toolset.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193043","usgsCitation":"Engel, F.L., and Choi, N., 2019, Flood warning toolset for the Medina River in Bandera County, Texas: U.S. Geological Survey Fact Sheet 2019–3043, 2 p., https://doi.org/10.3133/fs20193043. ","productDescription":"Report: 2 p.; Companion Files","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-110193","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":366754,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://doi.org/10.3133/sir20195067","text":"SIR 2019–5067","size":"3.12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5067","linkHelpText":" Flood-Inundation Maps for a 23-Mile Reach of the Medina River at Bandera, Texas, 2018"},{"id":366753,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3043/fs20193043.pdf","text":"Report","size":"895 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3043"},{"id":366752,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3043/coverthb.jpg"}],"country":"United States","state":"Texas","county":"Bandera County ","otherGeospatial":"Medina River","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-98.9253,29.7842],[-98.7869,29.7168],[-98.8056,29.6968],[-98.9213,29.5665],[-98.9245,29.562],[-98.9282,29.5593],[-98.9318,29.5588],[-98.9429,29.5585],[-98.9513,29.5581],[-98.9607,29.5578],[-98.9633,29.5578],[-98.9676,29.5546],[-98.9712,29.5533],[-98.9765,29.5547],[-98.978,29.5556],[-98.9811,29.5589],[-98.9832,29.5625],[-98.9837,29.5671],[-98.9836,29.5717],[-98.9819,29.5804],[-98.9818,29.5909],[-98.9801,29.5983],[-98.9779,29.606],[-98.9789,29.6102],[-98.9794,29.6129],[-98.982,29.6148],[-98.9909,29.6185],[-99.0103,29.6187],[-99.4132,29.6253],[-99.6033,29.6257],[-99.6031,29.9068],[-99.2839,29.905],[-99.1766,29.8946],[-98.9253,29.7842]]]},\"properties\":{\"name\":\"Bandera\",\"state\":\"TX\"}}]}","contact":"

Director, Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, Texas 78754–4501

","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-08-26","noUsgsAuthors":false,"publicationDate":"2019-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Engel, Frank L. 0000-0002-4253-2625","orcid":"https://orcid.org/0000-0002-4253-2625","contributorId":218208,"corporation":false,"usgs":true,"family":"Engel","given":"Frank","middleInitial":"L.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choi, Namjeong 0000-0002-9526-0504","orcid":"https://orcid.org/0000-0002-9526-0504","contributorId":218207,"corporation":false,"usgs":true,"family":"Choi","given":"Namjeong","email":"","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768807,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70205135,"text":"70205135 - 2019 - Evaluating k-nearest neighbor (kNN) imputation models for species-level aboveground forest biomass mapping in northeast China","interactions":[],"lastModifiedDate":"2019-12-22T14:58:28","indexId":"70205135","displayToPublicDate":"2019-08-25T16:01:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Evaluating k-nearest neighbor (kNN) imputation models for species-level aboveground forest biomass mapping in northeast China","title":"Evaluating k-nearest neighbor (kNN) imputation models for species-level aboveground forest biomass mapping in northeast China","docAbstract":"

Quantifying spatially explicit or pixel-level aboveground forest biomass (AFB) across large regions is critical for measuring forest carbon sequestration capacity, assessing forest carbon balance, and revealing changes in the structure and function of forest ecosystems. When AFB is measured at the species level using widely available remote sensing data, regional changes in forest composition can readily be monitored. In this study, wall-to-wall maps of species-level AFB were generated for forests in Northeast China by integrating forest inventory data with Moderate Resolution Imaging Spectroradiometer (MODIS) images and environmental variables through applying the optimal k-nearest neighbor (kNN) imputation model. By comparing the prediction accuracy of 630 kNN models, we found that the models with random forest (RF) as the distance metric showed the highest accuracy. Compared to the use of single-month MODIS data for September, there was no appreciable improvement for the estimation accuracy of species-level AFB by using multi-month MODIS data. When k > 7, the accuracy improvement of the RF-based kNN models using the single MODIS predictors for September was essentially negligible. Therefore, the kNN model using the RF distance metric, single-month (September) MODIS predictors and k = 7 was the optimal model to impute the species-level AFB for entire Northeast China. Our imputation results showed that average AFB of all species over Northeast China was 101.98 Mg/ha around 2000. Among 17 widespread species, larch was most dominant, with the largest AFB (20.88 Mg/ha), followed by white birch (13.84 Mg/ha). Amur corktree and willow had low AFB (0.91 and 0.96 Mg/ha, respectively). Environmental variables (e.g., climate and topography) had strong relationships with species-level AFB. By integrating forest inventory data and remote sensing data with complete spatial coverage using the optimal kNN model, we successfully mapped the AFB distribution of the 17 tree species over Northeast China. We also evaluated the accuracy of AFB at different spatial scales. The AFB estimation accuracy significantly improved from stand level up to the ecotype level, indicating that the AFB maps generated from this study are more suitable to apply to forest ecosystem models (e.g., LINKAGES) which require species-level attributes at the ecotype scale.

","language":"English","publisher":"MDPI","doi":"10.3390/rs11172005","usgsCitation":"Fu, Y., He, H.S., Hawbaker, T., Henne, P., Zhu, Z., and Larsen, D.R., 2019, Evaluating k-nearest neighbor (kNN) imputation models for species-level aboveground forest biomass mapping in northeast China: Remote Sensing, v. 17, no. 11, p. 1-20, https://doi.org/10.3390/rs11172005.","productDescription":"20 p.","startPage":"1","endPage":"20","ipdsId":"IP-109980","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"links":[{"id":467340,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs11172005","text":"Publisher Index Page"},{"id":437358,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MOB5E3","text":"USGS data release","linkHelpText":"Data release for: Evaluating k-nearest neighbor (kNN) imputation models for species-level aboveground forest biomass mapping in northeast China"},{"id":367198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 124.8046875,\n 40.3130432088809\n ],\n [\n 129.90234375,\n 43.32517767999296\n ],\n [\n 131.484375,\n 42.293564192170095\n ],\n [\n 135.17578125,\n 48.45835188280866\n ],\n [\n 130.95703125,\n 47.87214396888731\n ],\n [\n 124.27734374999999,\n 53.54030739150022\n ],\n [\n 120.41015624999999,\n 52.696361078274485\n ],\n [\n 118.47656249999999,\n 49.61070993807422\n ],\n [\n 116.54296874999999,\n 49.724479188712984\n ],\n [\n 115.83984375,\n 47.87214396888731\n ],\n [\n 119.00390625,\n 46.92025531537451\n ],\n [\n 110.91796875,\n 44.465151013519616\n ],\n [\n 118.65234374999999,\n 37.996162679728116\n ],\n [\n 124.8046875,\n 40.3130432088809\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","issue":"11","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Fu, Yuanyuan","contributorId":218762,"corporation":false,"usgs":false,"family":"Fu","given":"Yuanyuan","email":"","affiliations":[{"id":39903,"text":"School of Geographical Sciences, Northeast Normal University, Changchun, China","active":true,"usgs":false}],"preferred":false,"id":770181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"He, Hong S","contributorId":218764,"corporation":false,"usgs":false,"family":"He","given":"Hong","email":"","middleInitial":"S","affiliations":[{"id":39904,"text":"University of Missouri, School of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":770182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":770183,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henne, Paul D. 0000-0003-1211-5545 phenne@usgs.gov","orcid":"https://orcid.org/0000-0003-1211-5545","contributorId":169166,"corporation":false,"usgs":true,"family":"Henne","given":"Paul D.","email":"phenne@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":770180,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":770184,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larsen, David R. 0000-0001-5861-8952","orcid":"https://orcid.org/0000-0001-5861-8952","contributorId":218763,"corporation":false,"usgs":false,"family":"Larsen","given":"David","email":"","middleInitial":"R.","affiliations":[{"id":36845,"text":"School of Natural Resources, University of Missouri","active":true,"usgs":false}],"preferred":false,"id":770185,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204968,"text":"70204968 - 2019 - Acoustic tag retention rate varies between juvenile green and hawksbill sea turtles","interactions":[],"lastModifiedDate":"2019-10-11T15:49:10","indexId":"70204968","displayToPublicDate":"2019-08-24T14:33:09","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"title":"Acoustic tag retention rate varies between juvenile green and hawksbill sea turtles","docAbstract":"Background\nBiotelemetry has become a key tool for studying marine animals in the last decade, and a wide range of electronic tags are now available for answering a range of research questions. However, comparatively, less attention has been given to attachment methods for these tags and the implications of tag retention on study design, especially when designing a comparative study looking at multiple species. Here, we reported our findings on acoustic tag retention rates for juveniles of two species of marine turtle: the green sea turtle (Chelonia mydas) and the hawksbill sea turtle (Eretmochelys imbricata). We captured both species twice annually (spring and fall) from 2012 through 2017, as part of a capture–mark–recapture study at Buck Island Reef National Monument, St. Croix, U.S. Virgin Islands. We assessed tag retention rates using physical recaptures of turtles previously outfitted with an acoustic tag.\n\nResults\nWe deployed 72 acoustic tags on 60 juvenile greens and 37 acoustic tags on 29 hawksbills. We estimated the half-life for tags on greens to be 150 days (95% CI 117–188 days), whereas the half-life for tags on hawksbills was 1077 days (95% CI 870–2118 days), a marked difference. We observed that tag attachment holes, drilled into the posterior marginal scutes, migrated laterally towards the outer edge of the marginals in both species. Green turtles tended to exhibit tear-outs, as their attachment holes wore and/or tags grew near the edge of their scutes, whereas hawksbills tended to maintain the structure of these holes and did not exhibit these tear-outs.\n\nConclusions\nWe conclude that hawksbills can be tagged with long-battery-life acoustic tags for long-term studies of habitat use and movement patterns, whereas greens are likely to shed their tags in the 1st year, making long-term studies difficult. This study is the first clear evidence that tagging protocols should vary between species of hard-shelled turtles. Furthermore, shed tags on the seafloor continue to be detected by acoustic receivers, creating a challenge in data filtering before analysis. We encourage future research into an efficient method for filtering these data points prior to analysis.","language":"English","publisher":"Springer","doi":"10.1186/s40317-019-0177-3","usgsCitation":"Selby, T., Smith, B., Cherkiss, M., Crowder, A., Hillis-Starr, Z., Pollock, C., and Hart, K., 2019, Acoustic tag retention rate varies between juvenile green and hawksbill sea turtles: Animal Biotelemetry, v. 7, Article 15, 8 p., https://doi.org/10.1186/s40317-019-0177-3.","productDescription":"Article 15, 8 p.","ipdsId":"IP-105289","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467341,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40317-019-0177-3","text":"Publisher Index Page"},{"id":437359,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P998D45N","text":"USGS data release","linkHelpText":"Capture histories and tag retention of acoustic-tagged green (Chelonia mydas) and hawksbill (Eretmochelys imbricata) sea turtles, Buck Island Reef National Monument, U.S. Virgin Islands, 2012-2017"},{"id":366973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Selby, Thomas 0000-0003-2116-0807","orcid":"https://orcid.org/0000-0003-2116-0807","contributorId":218465,"corporation":false,"usgs":true,"family":"Selby","given":"Thomas","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Brian 0000-0002-0531-0492 bjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":202305,"corporation":false,"usgs":true,"family":"Smith","given":"Brian","email":"bjsmith@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":773012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cherkiss, Michael 0000-0002-7802-6791","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":218466,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769319,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crowder, Andrew 0000-0001-6978-6265","orcid":"https://orcid.org/0000-0001-6978-6265","contributorId":218467,"corporation":false,"usgs":true,"family":"Crowder","given":"Andrew","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hillis-Starr, Zandy","contributorId":179152,"corporation":false,"usgs":false,"family":"Hillis-Starr","given":"Zandy","email":"","affiliations":[],"preferred":false,"id":769321,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pollock, Clayton","contributorId":168497,"corporation":false,"usgs":false,"family":"Pollock","given":"Clayton","affiliations":[],"preferred":false,"id":769322,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":218468,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769323,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70212617,"text":"70212617 - 2019 - One hundred and sixty years of Grand Canyon geological mapping","interactions":[],"lastModifiedDate":"2020-08-24T17:28:02.931452","indexId":"70212617","displayToPublicDate":"2019-08-24T09:38:26","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6463,"text":"Journal of Arizona History","active":true,"publicationSubtype":{"id":10}},"title":"One hundred and sixty years of Grand Canyon geological mapping","docAbstract":"

No abstract available. 

","language":"English","publisher":"Arizona Historical Society","usgsCitation":"Karlstrom, K., Crossey, L., Huntoon, P.W., Billingsley, G., Timmons, M., and Crow, R.S., 2019, One hundred and sixty years of Grand Canyon geological mapping: Journal of Arizona History, v. 60, no. 4, p. 655-674.","productDescription":"20 p.","startPage":"655","endPage":"674","ipdsId":"IP-108372","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":377793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":377792,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://muse.jhu.edu/article/744817"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.532958984375,\n 35.67068501330236\n ],\n [\n -111.5496826171875,\n 35.67068501330236\n ],\n [\n -111.5496826171875,\n 36.328402729422656\n ],\n [\n -112.532958984375,\n 36.328402729422656\n ],\n [\n -112.532958984375,\n 35.67068501330236\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"60","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Karlstrom, Karl","contributorId":218165,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Karl","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":797111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crossey, Laura","contributorId":24485,"corporation":false,"usgs":true,"family":"Crossey","given":"Laura","affiliations":[],"preferred":false,"id":797112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huntoon, Peter W.","contributorId":239536,"corporation":false,"usgs":false,"family":"Huntoon","given":"Peter","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":797113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Billingsley, George 0000-0001-6024-569X gbillingsley@usgs.gov","orcid":"https://orcid.org/0000-0001-6024-569X","contributorId":1115,"corporation":false,"usgs":true,"family":"Billingsley","given":"George","email":"gbillingsley@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":797114,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Timmons, Michael","contributorId":239537,"corporation":false,"usgs":false,"family":"Timmons","given":"Michael","email":"","affiliations":[],"preferred":false,"id":797115,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crow, Ryan S. 0000-0002-2403-6361 rcrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-6361","contributorId":5792,"corporation":false,"usgs":true,"family":"Crow","given":"Ryan","email":"rcrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":797116,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70254786,"text":"70254786 - 2019 - Strategic conservation for lesser prairie-chickens among landscapes of varying anthropogenic influence","interactions":[],"lastModifiedDate":"2024-06-07T14:20:41.927474","indexId":"70254786","displayToPublicDate":"2019-08-24T09:10:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Strategic conservation for lesser prairie-chickens among landscapes of varying anthropogenic influence","docAbstract":"

For millennia grasslands have provided a myriad of ecosystem services and have been coupled with human resource use. The loss of 46% of grasslands worldwide necessitates the need for conservation that is spatially, temporally, and socioeconomically strategic. In the Southern Great Plains of the United States, conversion of native grasslands to cropland, woody encroachment, and establishment of vertical anthropogenic features have made large intact grasslands rare for lesser prairie-chickens (Tympanuchus pallidicinctus). However, it remains unclear how the spatial distribution of grasslands and anthropogenic features constrain populations and influence conservation. We estimated the distribution of lesser prairie-chickens using data from individuals marked with GPS transmitters in Kansas and Colorado, USA, and empirically derived relationships with anthropogenic structure densities and grassland composition. Our model suggested decreased probability of use in 2-km radius (12.6 km2) landscapes that had greater than two vertical features, two oil wells, 8 km of county roads, and 0.15 km of major roads or transmission lines. Predicted probability of use was greatest in 5-km radius landscapes that were 77% grassland. Based on our model predictions, ~10% of the current expected lesser prairie-chicken distribution was available as habitat. We used our estimated species distribution to provide spatially explicit prescriptions for CRP enrollment and tree removal in locations most likely to benefit lesser prairie-chickens. Spatially incentivized CRP sign up has the potential to provide 4189 km2 of additional habitat and strategic application of tree removal has the potential to restore 1154 km2. Tree removal and CRP enrollment are conservation tools that can align with landowner goals and are much more likely to be effective on privately owned working lands.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2019.108213","usgsCitation":"Sullins, D.S., Haukos, D.A., Lautenbach, J.M., Lautenbach, J., Robinson, S.G., Rice, M.B., Sandercock, B.K., Kraft, J.D., Plumb, R.T., Reitz, J., Hutchinson, J.M., and Hagen, C., 2019, Strategic conservation for lesser prairie-chickens among landscapes of varying anthropogenic influence: Biological Conservation, v. 238, 108213, 10 p., https://doi.org/10.1016/j.biocon.2019.108213.","productDescription":"108213, 10 p.","ipdsId":"IP-105616","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467342,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2019.108213","text":"Publisher Index Page"},{"id":429644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -103.72145468354752,\n 39.86812103477851\n ],\n [\n -103.72145468354752,\n 37.00372049543908\n ],\n [\n -97.7109610420592,\n 37.00372049543908\n ],\n [\n -97.7109610420592,\n 39.86812103477851\n ],\n [\n -103.72145468354752,\n 39.86812103477851\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"238","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sullins, Daniel S.","contributorId":166689,"corporation":false,"usgs":false,"family":"Sullins","given":"Daniel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":902538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lautenbach, Joseph M.","contributorId":172788,"corporation":false,"usgs":false,"family":"Lautenbach","given":"Joseph","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":902540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lautenbach, Jonathan","contributorId":272579,"corporation":false,"usgs":false,"family":"Lautenbach","given":"Jonathan","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":902541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, Samantha G.","contributorId":172786,"corporation":false,"usgs":false,"family":"Robinson","given":"Samantha","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":902542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rice, Mindy B.","contributorId":214399,"corporation":false,"usgs":false,"family":"Rice","given":"Mindy","email":"","middleInitial":"B.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":902543,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sandercock, Brett K.","contributorId":95816,"corporation":false,"usgs":true,"family":"Sandercock","given":"Brett","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":902544,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kraft, John D.","contributorId":172789,"corporation":false,"usgs":false,"family":"Kraft","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":902545,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Plumb, Reid T.","contributorId":172787,"corporation":false,"usgs":false,"family":"Plumb","given":"Reid","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":902546,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Reitz, Jonathan H.","contributorId":337597,"corporation":false,"usgs":false,"family":"Reitz","given":"Jonathan H.","affiliations":[{"id":40103,"text":"cdpw","active":true,"usgs":false}],"preferred":false,"id":902547,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hutchinson, J. 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Rapid global climate change is resulting in novel abiotic and biotic conditions and interactions. Identifying management strategies that maximize probability of long-term persistence requires an understanding of the vulnerability of species to environmental changes. We sought to quantify the vulnerability of Kirtland's Warbler (Setophaga kirtlandii), a rare Neotropical migratory songbird that breeds almost exclusively in the Lower Peninsula of Michigan and winters in the Bahamian Archipelago, to projected environmental changes on the breeding and wintering grounds. We developed a population-level simulation model that incorporates the influence of annual environmental conditions on the breeding and wintering grounds, and parameterized the model using empirical relationships. We simulated independent and additive effects of reduced breeding grounds habitat quantity and quality, and wintering grounds habitat quality, on population viability. Our results indicated the Kirtland's Warbler population is stable under current environmental and management conditions. Reduced breeding grounds habitat quantity resulted in reductions of the stable population size, but did not cause extinction under the scenarios we examined. In contrast, projected large reductions in wintering grounds precipitation caused the population to decline, with risk of extinction magnified when breeding habitat quantity or quality also decreased. Our study indicates that probability of long-term persistence for Kirtland's Warbler will depend on climate change impacts to wintering grounds habitat quality and contributes to the growing literature documenting the importance of considering the full annual cycle for understanding population dynamics of migratory species.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5547","usgsCitation":"Brown, D., Donner, D., Ribic, C., and Bocetti, C., 2019, Influence of climate change and postdelisting management on long-term population viability of the conservation-reliant Kirtland's Warbler: Ecology and Evolution, v. 9, no. 18, p. 10263-10276, https://doi.org/10.1002/ece3.5547.","productDescription":"14 p.","startPage":"10263","endPage":"10276","ipdsId":"IP-105478","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467343,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5547","text":"Publisher Index Page"},{"id":388938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bahamas, United States","state":"Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.07958984375,\n 23.60426184707018\n ],\n [\n -75.43212890625,\n 23.60426184707018\n ],\n [\n -75.43212890625,\n 27.039556602163195\n ],\n [\n -79.07958984375,\n 27.039556602163195\n ],\n [\n -79.07958984375,\n 23.60426184707018\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.15478515625,\n 43.5326204268101\n ],\n [\n -83.49609375,\n 43.5326204268101\n ],\n [\n -83.49609375,\n 45.644768217751924\n ],\n [\n -86.15478515625,\n 45.644768217751924\n ],\n [\n -86.15478515625,\n 43.5326204268101\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"18","noUsgsAuthors":false,"publicationDate":"2019-08-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Donald J.","contributorId":265421,"corporation":false,"usgs":false,"family":"Brown","given":"Donald J.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":822723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donner, Deahn M.","contributorId":265422,"corporation":false,"usgs":false,"family":"Donner","given":"Deahn M.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":822724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":822722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bocetti, Carol I.","contributorId":265423,"corporation":false,"usgs":false,"family":"Bocetti","given":"Carol I.","affiliations":[{"id":18003,"text":"California University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":822725,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}