{"pageNumber":"741","pageRowStart":"18500","pageSize":"25","recordCount":184582,"records":[{"id":70203432,"text":"70203432 - 2019 - Feather mercury concentrations in North American raptors sampled at migration monitoring stations","interactions":[],"lastModifiedDate":"2019-05-14T12:01:52","indexId":"70203432","displayToPublicDate":"2019-05-01T12:01:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Feather mercury concentrations in North American raptors sampled at migration monitoring stations","docAbstract":"We assessed total mercury (THg) concentrations in breast feathers of diurnal North American raptors collected at migration monitoring stations. For 9 species in the Pacific Flyway, we found species and age influenced feather THg concentrations whereas sex did not. Feather THg concentrations µg/g dry weight (dw) averaged (least-squared mean±standard error) higher for raptors that generally consume >75% avian prey (sharp-shinned hawk Accipiter striatus: n=113; 4.35±0.45 µg/g dw, peregrine falcon Falco peregrinus: n=12; 3.93±1.11 µg/g dw, Cooper’s hawk Accipiter cooperii: n=20; 2.35±0.50 µg/g dw, and merlin Falco columbarius: n=59; \n\n1.75±0.28 µg/g dw) than for raptors that generally consume <75% avian prey (northern harrier Circus hudsonius: n=112; 0.75±0.10 µg/g dw, red-tailed hawk Buteo jamaicensis: n=109; 0.56±0.06 µg/g dw, American kestrel Falco sparverius: n=16; 0.57±0.14 µg/g dw, prairie falcon Falco mexicanus: n=10; 0.41±0.13 µg/g dw) except for red-shouldered hawks Buteo lineatus: n=10; 1.94±0.61 µg/g dw. Feather THg concentrations spanning 13-years (2002-2014) in the Pacific Flyway differed among 3 species, where THg increased for juvenile northern harrier, decreased for adult red-tailed hawk, and showed no trend for adult sharp-shinned hawk. Mean feather THg concentrations in juvenile merlin were greater in the Mississippi Flyway (n=56; 2.14±0.18 µg/g dw) than those in the Pacific Flyway (n=49; 1.15±0.11 µg/g dw) and Intermountain Flyway (n=23; 1.14±0.16 µg/g dw), and Atlantic Flyway (n=38; 1.75±0.19 µg/g dw) averaged greater than the Pacific Flyway. Our results indicate that raptor migration monitoring stations provide a cost-effective sampling opportunity for biomonitoring environmental contaminants within and between distinct migration corridors and across time.","language":"English","publisher":"Springer US","doi":"10.1007/s10646-019-02016-2","usgsCitation":"Baurbour, R., Martinico, B.L., Ackerman, J., Herzog, M.P., Hull, A.C., Fish, A.M., and Hull, J.M., 2019, Feather mercury concentrations in North American raptors sampled at migration monitoring stations: Ecotoxicology, no. 28, p. 379-391, https://doi.org/10.1007/s10646-019-02016-2.","productDescription":"13 p.","startPage":"379","endPage":"391","ipdsId":"IP-100792","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":437476,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QS39Z5","text":"USGS data release","linkHelpText":"Feather mercury concentrations in North American raptors sampled at migration monitoring stations"},{"id":363765,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"28","edition":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Baurbour, Ryan","contributorId":215571,"corporation":false,"usgs":false,"family":"Baurbour","given":"Ryan","email":"","affiliations":[{"id":39283,"text":"U. California, Davis","active":true,"usgs":false}],"preferred":false,"id":762682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martinico, Breanna L.","contributorId":215572,"corporation":false,"usgs":false,"family":"Martinico","given":"Breanna","email":"","middleInitial":"L.","affiliations":[{"id":39284,"text":"U. of California, Davis","active":true,"usgs":false}],"preferred":false,"id":762683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":762681,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762684,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hull, Angus C.","contributorId":215573,"corporation":false,"usgs":false,"family":"Hull","given":"Angus","email":"","middleInitial":"C.","affiliations":[{"id":39285,"text":"Golden Gate Raptor Observatory","active":true,"usgs":false}],"preferred":false,"id":762685,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fish, Allen M.","contributorId":215574,"corporation":false,"usgs":false,"family":"Fish","given":"Allen","email":"","middleInitial":"M.","affiliations":[{"id":39285,"text":"Golden Gate Raptor Observatory","active":true,"usgs":false}],"preferred":false,"id":762686,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hull, Joshua M.","contributorId":127686,"corporation":false,"usgs":false,"family":"Hull","given":"Joshua","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":762687,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70203152,"text":"ofr20191044 - 2019 - Effectiveness of fish screens in protecting lamprey (Entosphenus and Lampetra spp.) ammocoetes—Pilot testing of variable screen angle","interactions":[],"lastModifiedDate":"2019-05-02T07:37:17","indexId":"ofr20191044","displayToPublicDate":"2019-05-01T11:20:51","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":"2019-1044","displayTitle":"Effectiveness of Fish Screens in Protecting Lamprey (<em>Entosphenus</em> and <em>Lampetra</em> spp.) Ammocoetes— Pilot Testing of Variable Screen Angle","title":"Effectiveness of fish screens in protecting lamprey (Entosphenus and Lampetra spp.) ammocoetes—Pilot testing of variable screen angle","docAbstract":"<p class=\"p1\">Thousands of screened water diversions throughout the Columbia River Basin of the Pacific Northwest are sources of entrainment (unintended diversion into an unsafe passage route), injury, and mortality for a range of fish species and screening criteria have been developed to reduce and mitigate these effects. Large knowledge gaps exist concerning the potential effects of these screens on juvenile and larval lampreys <i>(</i><span class=\"s1\"><i>Entosphenus </i>and <i>Lampetra </i>spp.<i>) </i>that may </span>be particularly vulnerable to screening effects owing to their small size, unique morphology, and poor swimming performance. The few studies that have evaluated screen impacts for lampreys have compared common screen materials in a laboratory setting using a large, recirculating flume, and have reported that screen size and material influence the risk of entrainment. We compared entrainment rate, impingement rate and duration, injury rate, and delayed (24-hour) mortality of larval lamprey (ammocoetes) exposed to two screen angles. A 20-degree screen was tested because it is a common configuration, and a 12-degree screen was selected to represent a screen more parallel to flow than the 20-degree screen. We included juvenile rainbow trout (<i>Oncorhynchus mykiss</i>) in tests for both screen angles so that any screen interaction improvements observed for lamprey could be considered in light of their effect on salmonids (<span class=\"s1\"><i>Oncorhynchus </i>spp.<i>). </i></span>Study fish were released singly into the flume at two locations: near-screen (SCR) releases at about 30 centimeters upstream of the screen and mid-channel (MID) releases at about 1.4 meters upstream of the screen. We completed 120 screen trials with ammocoetes and 117 screen trials with juvenile tout during April–May 2018. Ammocoetes had short mean trial durations (less than 30 seconds) and were most frequently bypassed. Over one-half of the ammocoetes briefly (for less than 1 second) contacted the screen. Rates of screen contact were similar between the two screen angles, but higher for SCR releases (about 83–90 percent) than for MID releases (about 28–44 percent). Screen impingements were not common (8.3 percent of ammocoetes) and did not result in significant injury or delayed mortality. The final logistic regression model showed that screen angle and release location did not significantly affect whether ammocoetes were bypassed. The size of the lamprey, expressed as mass or length, was the only significant predictor of fate. We noted an estimated 4.7-percent increase in the odds of&nbsp;being bypassed for every 1-milligram increase in ammocoete mass and a 49-percent increase in the odds of being bypassed for every 1-millimeter increase in length. Trout did not experience negative effects with the 12-degree screen; they had short mean trial durations (less than 40 seconds) and limited contact with the screens (11.1 percent of trout), were most commonly bypassed, and none were entrained. Screen angle and release location were not significant drivers of fate for trout. The 12-degree and 20-degree screens performed comparably for both lamprey and trout and effectively bypassed these fishes. Some metrics showed advantages for the 12-degree screen, suggesting that screens installed more parallel to flow might warrant further testing.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191044","collaboration":"Prepared in cooperation with the Washington Department of Fish and Wildlife, McNary Fisheries Compensation Committee, and Yakama Nation Fisheries","usgsCitation":"Liedtke, T.L., Didricksen, D.J., Weiland, L.K., Rogala, J.A., and Lampman, R., 2019, Effectiveness of fish screens in protecting lamprey (Entosphenus and Lampetra spp.) ammocoetes—Pilot testing of variable screen angle: U.S. Geological Survey Open-File Report 2019-1044, 21 p., https://doi.org/10.3133/ofr20191044.","productDescription":"iv, 21 p.","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-105978","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":363436,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1044/coverthb2.jpg"},{"id":363437,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1044/ofr20191044.pdf","text":"Report","size":"882 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1044"}],"country":"United States","otherGeospatial":"Columbia River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -127.57324218750001,\n              41.96765920367816\n            ],\n            [\n              -112.763671875,\n              41.96765920367816\n            ],\n            [\n              -112.763671875,\n              50.90303283111257\n            ],\n            [\n              -127.57324218750001,\n              50.90303283111257\n            ],\n            [\n              -127.57324218750001,\n              41.96765920367816\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wfrc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/wfrc\">Western Fisheries Research Center</a><br>U.S. Geological Survey<br>6505 NE 65th Street<br>Seattle, Washington 98115-5016</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-05-01","noUsgsAuthors":false,"publicationDate":"2019-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Liedtke, Theresa L. 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":2999,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":761409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Didricksen, Daniel J.","contributorId":215007,"corporation":false,"usgs":false,"family":"Didricksen","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":761410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weiland, Lisa K. 0000-0002-9729-4062 lweiland@usgs.gov","orcid":"https://orcid.org/0000-0002-9729-4062","contributorId":3565,"corporation":false,"usgs":true,"family":"Weiland","given":"Lisa","email":"lweiland@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":761411,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ragala, Joshua A.","contributorId":215009,"corporation":false,"usgs":false,"family":"Ragala","given":"Joshua","email":"","middleInitial":"A.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":761412,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lampman, Ralph","contributorId":215233,"corporation":false,"usgs":false,"family":"Lampman","given":"Ralph","email":"","affiliations":[],"preferred":true,"id":761413,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204467,"text":"70204467 - 2019 - Fire risk in revegetated bunchgrass communities Infested with Bromus tectorum","interactions":[],"lastModifiedDate":"2019-07-26T10:13:05","indexId":"70204467","displayToPublicDate":"2019-05-01T11:17:20","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Fire risk in revegetated bunchgrass communities Infested with Bromus tectorum","docAbstract":"In rangeland ecosystems, invasive annual grass replacement of native perennials is associated with higher fire risk.  Large bunchgrasses are often seeded to reduce cover of annuals such as Bromus tectorum L. (cheatgrass), but there is limited information about how revegetation reduces fire risk over the long-term.  For this research note, we conducted a pilot study to assess how community composition influences fire risk at 3 sites in Columbia National Wildlife Refuge in Washington, USA that were revegetated with large bunchgrasses 8 to 18 years prior to the study.  At each revegetated site, five replicates with 10 plots each (plot size 10 × 10 m) were established.  Fire risk was determined as the probability that a plot would completely burn following ignition at a randomly located point in each plot (i.e., if 8 of 10 plots burned fire risk was 80%).  Pre-ignition, cover of bunchgrasses, cheatgrass, forbs, and surface cover characteristics were determined for each plot.  Bunchgrasses successfully established to varying degrees among sites, but fire risk was still relatively high (around 73%) and did not significantly differ among sites cover. All sites had similar surface cover characteristics such as high total fuels cover (>80% at all sites) and low unvegetated gap cover (soil and soil cryptogams, <17%). Our pilot study suggests that even though revegetation may increase bunchgrass and decrease cheatgrass, fire risk remains high likely due to other surface cover characteristics.  Future studies should aim to have larger variation in cover, grazing intensity, and weather conditions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2018.11.008","usgsCitation":"Link, S.O., Hill, R.W., and Bansal, S., 2019, Fire risk in revegetated bunchgrass communities Infested with Bromus tectorum: Rangeland Ecology and Management, v. 72, no. 3, p. 539-541, https://doi.org/10.1016/j.rama.2018.11.008.","productDescription":"3 p.","startPage":"539","endPage":"541","ipdsId":"IP-097313","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":365935,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","county":"Grant 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,{"id":70203449,"text":"70203449 - 2019 - Spatial and temporal variability in ripple formation and migration across a coral reef flat and lagoon","interactions":[],"lastModifiedDate":"2021-04-07T15:01:39.916227","indexId":"70203449","displayToPublicDate":"2019-05-01T10:59:42","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Spatial and temporal variability in ripple formation and migration across a coral reef flat and lagoon","docAbstract":"<p><span>The transport of carbonate sediment across reefs to the shoreline is of great interest to the research community and coastal managers alike. This sediment is generated by the breakdown of reef skeletal structure and a critical source for beach nourishment that provides a buffer to coastal flooding as sea levels rise. Understanding the physical processes that are responsible for this flux of sediment to the coast is therefore necessary before we can begin to predict how it may be affected by rising sea levels. Six weeks of high quality physical oceanographic data collected on the fringing reef in the Jurabi UNESCO World Heritage Site in Western Australia provides the opportunity to examine these processes in greater detail than ever before.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal sediments 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Conference on Coastal Sediments 2019","conferenceDate":"Tampa/St. Petersburg, Florida","conferenceLocation":"May 27-31, 2019","language":"English","publisher":"World Scientific","doi":"10.1142/9789811204487_0085","usgsCitation":"Rosenberger, K.J., Storlazzi, C.D., Pomeroy, A., Cheriton, O.M., Lowe, R.J., and Hansen, J., 2019, Spatial and temporal variability in ripple formation and migration across a coral reef flat and lagoon, <i>in</i> Coastal sediments 2019, May 27-31, 2019, Tampa/St. Petersburg, Florida, p. 983-990, https://doi.org/10.1142/9789811204487_0085.","productDescription":"8 p.","startPage":"983","endPage":"990","ipdsId":"IP-106941","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":363892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","otherGeospatial":"Jurabi UNESCO World Heritage Site","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              113.02734374999999,\n              -25.025884063244828\n            ],\n            [\n              114.32373046875,\n              -25.025884063244828\n            ],\n            [\n              114.32373046875,\n              -21.350781150679722\n            ],\n            [\n              113.02734374999999,\n              -21.350781150679722\n            ],\n            [\n              113.02734374999999,\n              -25.025884063244828\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Rosenberger, Kurt J. 0000-0002-5185-5776 krosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5185-5776","contributorId":140453,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt","email":"krosenberger@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":762751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":762752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pomeroy, Andrew","contributorId":182033,"corporation":false,"usgs":false,"family":"Pomeroy","given":"Andrew","affiliations":[],"preferred":false,"id":762753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheriton, Olivia M. 0000-0003-3011-9136","orcid":"https://orcid.org/0000-0003-3011-9136","contributorId":204459,"corporation":false,"usgs":true,"family":"Cheriton","given":"Olivia","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":762754,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowe, Ryan J.","contributorId":152265,"corporation":false,"usgs":false,"family":"Lowe","given":"Ryan","email":"","middleInitial":"J.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":762755,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hansen, Jeff","contributorId":149139,"corporation":false,"usgs":false,"family":"Hansen","given":"Jeff","affiliations":[],"preferred":false,"id":762756,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70202724,"text":"70202724 - 2019 - The USGS National crustal model for seismic hazard studies: 2019 update","interactions":[],"lastModifiedDate":"2019-06-26T10:46:25","indexId":"70202724","displayToPublicDate":"2019-05-01T10:41:31","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The USGS National crustal model for seismic hazard studies: 2019 update","docAbstract":"The United States Geological Survey (USGS) National Crustal Model (NCM) is being developed to assist in the modeling of seismic hazards across the conterminous United States, specifically by improving estimates of site response. The NCM is composed of geophysical profiles, extending from the Earth’s surface into the upper mantle, constructed from 5 primary elements: 1) depth to bedrock and basement; 2) 3D geologic framework; 3) petrologic and mineral physics database; 4) 3D temperature model; and 5) calibration of a porosity and attenuation model. Parameters needed to estimate site response for existing ground motion models (GMMs), including the time-averaged velocity in the upper 30 meters (VS30) and the depths to 1.0 and 2.5 km/s shear-wave velocity (Z1.0 and Z2.5), can be extracted from the NCM. As GMMs develop, other metrics could also be extracted or derived from the NCM such as fundamental frequency, a fully frequency-dependent site response function, or 3D geophysical volumes for wavefield simulations. Application of the NCM may also benefit other aspects of seismic hazard analysis including better accounting for path-dependent attenuation and geometric spreading and more accurate estimation of earthquake source properties such as hypocentral location and stress drop.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic Mapping Forum 2019 Abstracts","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Geologic Mapping Forum","conferenceDate":"April 10-12, 2019","conferenceLocation":"Minneapolils, MN","language":"English","publisher":"Minnesota Geological Survey","usgsCitation":"Boyd, O.S., 2019, The USGS National crustal model for seismic hazard studies: 2019 update, <i>in</i> Geologic Mapping Forum 2019 Abstracts, Minneapolils, MN, April 10-12, 2019, p. 10-11.","productDescription":"2 p.","startPage":"10","endPage":"11","ipdsId":"IP-106529","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":365060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365059,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.mngs.umn.edu/GMF2019.html"}],"country":"United States","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Boyd, Oliver S. 0000-0001-9457-0407 olboyd@usgs.gov","orcid":"https://orcid.org/0000-0001-9457-0407","contributorId":140739,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":759654,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70203312,"text":"70203312 - 2019 - Pathology in practice: Knemidocoptiasis in a pine grosbeak (Pinicola enucleator)","interactions":[],"lastModifiedDate":"2021-06-02T19:51:06.921867","indexId":"70203312","displayToPublicDate":"2019-05-01T09:51:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2528,"text":"Journal of the American Veterinary Medical Association","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Pathology in practice: Knemidocoptiasis in a pine grosbeak (<i>Pinicola enucleator</i>)","title":"Pathology in practice: Knemidocoptiasis in a pine grosbeak (Pinicola enucleator)","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"American Veterinary Medical Association","doi":"10.2460/javma.254.9.1053","usgsCitation":"Knowles, S., Swan, J.L., Roderick, C., and Cole, R.A., 2019, Pathology in practice: Knemidocoptiasis in a pine grosbeak (Pinicola enucleator): Journal of the American Veterinary Medical Association, v. 254, no. 9, p. 1053-1056, https://doi.org/10.2460/javma.254.9.1053.","productDescription":"4 p.","startPage":"1053","endPage":"1056","ipdsId":"IP-084132","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":363529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"254","issue":"9","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":762090,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swan, Jennifer L.","contributorId":215345,"corporation":false,"usgs":false,"family":"Swan","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":39227,"text":"Wisconsin Veterinary Diagnostic Laboratory","active":true,"usgs":false}],"preferred":false,"id":762091,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roderick, Constance 0000-0001-8330-8024","orcid":"https://orcid.org/0000-0001-8330-8024","contributorId":215346,"corporation":false,"usgs":true,"family":"Roderick","given":"Constance","email":"","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":762092,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cole, Rebecca A. 0000-0003-2923-1622 rcole@usgs.gov","orcid":"https://orcid.org/0000-0003-2923-1622","contributorId":2873,"corporation":false,"usgs":true,"family":"Cole","given":"Rebecca","email":"rcole@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":762093,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204070,"text":"70204070 - 2019 - National Park Service socioeconomic monitoring pilot survey: Visitor spending analysis","interactions":[],"lastModifiedDate":"2024-03-25T13:19:58.069212","indexId":"70204070","displayToPublicDate":"2019-05-01T09:33:33","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2019/1924","title":"National Park Service socioeconomic monitoring pilot survey: Visitor spending analysis","docAbstract":"The National Park Service (NPS) is in the process of establishing a formal socioeconomic monitoring (SEM) program that will provide a standard visitor survey instrument and a long-term, systematic sampling design for in-park visitor surveys. The development of the pilot SEM survey provided the opportunity to add to the set of available visitor spending profiles for use in the NPS Visitor Spending Effects analysis and enabled the exploration of improved visitor spending estimation methodologies. Fourteen park units were selected for SEM pilot visitor surveys to represent a variety of park unit types (i.e., National Parks, National Recreation Areas, National Historic Parks, etc.), activities, settings (i.e., urban, rural, seashore, parkway, etc.), and difficulty of survey administration (i.e., highly controlled entrances vs. dispersed access). This report describes the methods developed to estimate visitor spending using the SEM pilot surveys and provides visitor spending profiles for the 14 pilot parks. The experiences gained through the pilot effort provide useful feedback for learning and improving future survey efforts.","language":"English","publisher":"National Park Service","usgsCitation":"Cullinane Thomas, C., Cornachione, E., Koontz, L., and Keyes, C., 2019, National Park Service socioeconomic monitoring pilot survey: Visitor spending analysis: Natural Resource Report 2019/1924, vi, 101 p.","productDescription":"vi, 101 p.","numberOfPages":"116","ipdsId":"IP-107799","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":365271,"rank":1,"type":{"id":11,"text":"Document"},"url":"http://npshistory.com/publications/social-science/nrr-2019-1924.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":365361,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cullinane Thomas, Catherine 0000-0001-8168-1271 ccullinanethomas@usgs.gov","orcid":"https://orcid.org/0000-0001-8168-1271","contributorId":141097,"corporation":false,"usgs":true,"family":"Cullinane Thomas","given":"Catherine","email":"ccullinanethomas@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":765387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cornachione, Egan 0000-0001-9248-4118","orcid":"https://orcid.org/0000-0001-9248-4118","contributorId":216701,"corporation":false,"usgs":false,"family":"Cornachione","given":"Egan","email":"","affiliations":[{"id":27102,"text":"USGS student contractor","active":true,"usgs":false}],"preferred":false,"id":765388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koontz, Lynne koontzl@usgs.gov","contributorId":2174,"corporation":false,"usgs":false,"family":"Koontz","given":"Lynne","email":"koontzl@usgs.gov","affiliations":[{"id":7016,"text":"Environmental Quality Division, National Park Service, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":765389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keyes, Christopher 0000-0003-3328-5287","orcid":"https://orcid.org/0000-0003-3328-5287","contributorId":335024,"corporation":false,"usgs":false,"family":"Keyes","given":"Christopher","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":765390,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203555,"text":"70203555 - 2019 - A synthesis of ecosystem management strategies for forests in the face of chronic N deposition","interactions":[],"lastModifiedDate":"2019-05-22T09:33:54","indexId":"70203555","displayToPublicDate":"2019-05-01T09:33:20","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"A synthesis of ecosystem management strategies for forests in the face of chronic N deposition","docAbstract":"The relative importance of nitrogen (N) deposition as a stressor to global forests is likely to increase in the future, as N deposition increases in Asia and Africa, and as sulfur declines more than nitrogen in Europe, the US, and Canada. Even so, it appears that decreased N deposition may not be sufficient to induce recovery, suggesting that management interventions may be necessary to promote recovery over timescales desired by decision makers. Here we report a meta-analysis of the effectiveness of four remediation approaches (prescribed burning, thinning, liming, carbon addition) on three recovery responses from N deposition (decreased soil N availability, increased soil alkalinity, increased plant biodiversity), focusing on literature from North America. We found 72 publications (with 2156 responses) from the Web of Science that focused on one of these treatments but only 29 (with 408 responses) reported results appropriate for meta-analysis (others examined other end points or did not report sufficient data). We found that carbon addition was the only treatment that decreased N availability (effect size: -1.6 to -1.8), while liming, thinning, and burning all tended to increase N availability (effect sizes: +0.2 to +1.1). Only liming had a significant effect on soil alkalinity (+10% to 80% across metrics). Only prescribed burning and thinning affected plant diversity, but with opposing effects across metrics (i.e. increased richness, decreased Shannon or Simpson diversity) but effects were often statistically marginal. Thus, it appears that no single treatment will be effective in promoting recovery from N deposition for all three responses of interest, and combinations of treatments should be explored (esp. liming in combination with other treatments). These conclusions are based on the limited published data available, underscoring the need for more studies in forested areas and more consistent reporting across studies.","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2019.02.006","collaboration":"US Environmental Protection Agency, USDA Forest Service","usgsCitation":"Clark, C.M., Richkus, J., Jones, P.W., Phelan, J., Burns, D., deVries, W., Du, E., Fenn, M.E., Jones, L., and Watmough, S.A., 2019, A synthesis of ecosystem management strategies for forests in the face of chronic N deposition: Environmental Pollution, v. 248, p. 1046-1058, https://doi.org/10.1016/j.envpol.2019.02.006.","productDescription":"13 p.","startPage":"1046","endPage":"1058","ipdsId":"IP-099353","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":467649,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2019.02.006","text":"Publisher Index Page"},{"id":364084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"248","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Christopher M.","contributorId":215744,"corporation":false,"usgs":false,"family":"Clark","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":39312,"text":"U.S. EPA","active":true,"usgs":false}],"preferred":false,"id":763130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richkus, J.","contributorId":215745,"corporation":false,"usgs":false,"family":"Richkus","given":"J.","email":"","affiliations":[{"id":7151,"text":"RTI International","active":true,"usgs":false}],"preferred":false,"id":763131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Philip W","contributorId":215746,"corporation":false,"usgs":false,"family":"Jones","given":"Philip","email":"","middleInitial":"W","affiliations":[{"id":7151,"text":"RTI International","active":true,"usgs":false}],"preferred":false,"id":763132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phelan, Jennifer","contributorId":198940,"corporation":false,"usgs":false,"family":"Phelan","given":"Jennifer","affiliations":[],"preferred":false,"id":763133,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763129,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"deVries, Wim","contributorId":215747,"corporation":false,"usgs":false,"family":"deVries","given":"Wim","email":"","affiliations":[{"id":39313,"text":"Waginengen University and Research","active":true,"usgs":false}],"preferred":false,"id":763134,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Du, Enzai","contributorId":215748,"corporation":false,"usgs":false,"family":"Du","given":"Enzai","email":"","affiliations":[{"id":16866,"text":"Beijing Normal University","active":true,"usgs":false}],"preferred":false,"id":763135,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fenn, Mark E.","contributorId":192204,"corporation":false,"usgs":false,"family":"Fenn","given":"Mark","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":763136,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones, Laurence","contributorId":215749,"corporation":false,"usgs":false,"family":"Jones","given":"Laurence","affiliations":[{"id":39314,"text":"Centre for Ecology and Hydrology","active":true,"usgs":false}],"preferred":false,"id":763137,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Watmough, Shaun A.","contributorId":178413,"corporation":false,"usgs":false,"family":"Watmough","given":"Shaun","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":763138,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70203556,"text":"70203556 - 2019 - New geochemical evidence for the origin of North America's largest dune field, the Nebraska Sand Hills, central Great Plains, USA","interactions":[],"lastModifiedDate":"2019-05-22T09:21:25","indexId":"70203556","displayToPublicDate":"2019-05-01T09:21:08","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"New geochemical evidence for the origin of North America's largest dune field, the Nebraska Sand Hills, central Great Plains, USA","docAbstract":"<p><span>The&nbsp;Nebraska&nbsp;Sand&nbsp;Hills region is the largest&nbsp;dune field&nbsp;in&nbsp;North America&nbsp;and has diverse aeolian&nbsp;landforms. It has been active during both the&nbsp;late Pleistocene&nbsp;and late&nbsp;Holocene. Despite decades of study, the source of&nbsp;sediment&nbsp;for this large sand sea is still controversial. Here we report new&nbsp;trace element&nbsp;compositions of aeolian sand that are compared to four hypothesized sediment sources,&nbsp;Tertiary&nbsp;rocks of the Arikaree Group and Ogallala Group, unconsolidated sands of&nbsp;Pliocene&nbsp;age, and Platte&nbsp;River system&nbsp;sands. All four potential sources have a&nbsp;mineralogy&nbsp;that is similar to the Nebraska Sand Hills. K/Rb, K/Ba, Sc-Th-La, Eu/Eu*, La</span><sub>N</sub><span>/Yb</span><sub>N</sub><span>, As/Sb, and Fe/Sc values show, however, that Pliocene sediments and sands from the Platte River system are not likely sources. The Arikaree Group could be a minor contributor, but sands from the Ogallala Group appear to have the best compositional fit to the Nebraska Sand Hills. Although past studies have proposed the Ogallala Group as an important sand source, the&nbsp;hypothesis&nbsp;has been questioned, because the unit is well cemented by&nbsp;calcrete&nbsp;in its upper part. However, examination of the landscape upwind of the Nebraska Sand Hills shows that the Ogallala Group, where it occurs at the&nbsp;land surface, is highly dissected in much of this region, which makes sand-sized particles available for aeolian entrainment whenever&nbsp;drought conditions&nbsp;diminish a protective&nbsp;vegetation cover.</span></p>","publisher":"Elsevier","doi":"10.1016/j.geomorph.2019.02.023","usgsCitation":"Muhs, D., and Budahn, J.R., 2019, New geochemical evidence for the origin of North America's largest dune field, the Nebraska Sand Hills, central Great Plains, USA: Geomorphology, v. 332, p. 188-212, https://doi.org/10.1016/j.geomorph.2019.02.023.","productDescription":"25 p.","startPage":"188","endPage":"212","ipdsId":"IP-102086","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":467650,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70228059,"text":"70228059 - 2019 - Population characteristics of Ozark Bass (Ambloplites constellatus) in the upper White River basin of northern Arkansas","interactions":[],"lastModifiedDate":"2022-02-04T14:43:24.779077","indexId":"70228059","displayToPublicDate":"2019-05-01T09:14:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5092,"text":"Natural Resources","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Population characteristics of Ozark Bass (<i>Ambloplites constellatus</i>) in the upper White River basin of northern Arkansas","title":"Population characteristics of Ozark Bass (Ambloplites constellatus) in the upper White River basin of northern Arkansas","docAbstract":"<p><span>Ozark Bass (</span><i><span>Ambloplites constellatus</span></i><span>) is an understudied, endemic fish species in the Upper White River Basin of northern Arkansas. This study was part of an effort by fisheries managers to gather baseline data about the Ozark Bass to aid in understanding population dynamics and contribute to the limited data available for use in determining the efficacy of harvest regulations. Select population characteristics of Ozark Bass in two northern Arkansas streams were determined, population characteristics of Ozark Bass were compared to Shadow Bass (</span><i><span>Ambloplites ariommus</span></i><span>) and Rock Bass (</span><i><span>Ambloplites rupestris</span></i><span>) data collected from previous studies in southern Missouri, and relative condition, length-at-age, and annual survival of Ozark Bass were compared between sample streams. Sampling occurred in Crooked Creek and the Buffalo River during summer 2013 via boat electroshocking. Length and weight data were recorded for all Ozark Bass collected, and fish ages were determined through selective otolith retrieval and age-length keys. Ozark Bass in Crooked Creek had greater relative condition than Ozark Bass in Buffalo River (</span><i><span>P&nbsp;</span></i><span>&lt; 0.001). Neither Ozark bass lengths nor log-transformed weights differed (</span><i><span>P&nbsp;</span></i><span>&gt; 0.05) between sexes for fish collected from only the Buffalo River. Ozark Bass mean annual survival was similar between Crooked Creek (55% ± 5% as 95% confidence interval (CI)) and the Buffalo River (50% ± 7% CI) for fish age 2 to 9. Calculated Ozark Bass lengths-at-age for fish from both streams were comparable to the Von Bertalanffy growth estimates, except the Buffalo River age 7 categor</span><span>y</span><span>&nbsp;where there was only one observation. The relationship between Ozark Bass age and length differed between sampled streams, and variability in growth rates and length-at-age were observed among&nbsp;</span><i><span>Ambloplites</span></i><span>&nbsp;species. Results of this study contribute to the understanding of the population dynamics of the Ozark Bass that will lead to improved fisheries management.</span></p>","language":"English","publisher":"Scientific Research","doi":"10.4236/nr.2019.105009","usgsCitation":"Rodman, A.W., Brye, K., Magoulick, D.D., and Todd, S., 2019, Population characteristics of Ozark Bass (Ambloplites constellatus) in the upper White River basin of northern Arkansas: Natural Resources, v. 10, no. 5, p. 121-138, https://doi.org/10.4236/nr.2019.105009.","productDescription":"18 p.","startPage":"121","endPage":"138","ipdsId":"IP-100824","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":467651,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4236/nr.2019.105009","text":"Publisher Index Page"},{"id":395350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"upper White River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.96218872070312,\n              35.90684930677121\n            ],\n            [\n              -92.28515625,\n              35.90684930677121\n            ],\n            [\n              -92.28515625,\n              36.25645544252056\n            ],\n            [\n              -92.96218872070312,\n              36.25645544252056\n            ],\n            [\n              -92.96218872070312,\n              35.90684930677121\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rodman, A. 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R.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":832989,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832990,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Todd, S.","contributorId":274429,"corporation":false,"usgs":false,"family":"Todd","given":"S.","email":"","affiliations":[{"id":37007,"text":"Arkansas Game and Fish Commission","active":true,"usgs":false}],"preferred":false,"id":832991,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204117,"text":"70204117 - 2019 - Integration and tradeoffs","interactions":[],"lastModifiedDate":"2019-07-09T08:57:56","indexId":"70204117","displayToPublicDate":"2019-05-01T08:56:25","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"chapter":"9","title":"Integration and tradeoffs","docAbstract":"Managing for sagebrush ecosystems that are resilient to disturbance and resistant to invasive plants often requires managers to make tough decisions in the face of considerable complexity and uncertainty. The deci¬sion making environment is often characterized by multiple management objectives, limited manage¬ment authorities and capabilities, dynamic ecosystems and plant communities, and uncertain responses to management actions. Resource decision makers must be able to determine appropriate objectives based on desired management outcomes and sort through the different management considerations involved in obtaining those desired outcomes. Decision makers must also be able to evaluate the tradeoffs associated with diverse and often competing management considerations and determine the long-term positive or negative effects of particular management actions on the resource.","language":"English","publisher":"U.S. Department of Agriculture","usgsCitation":"Crist, M.R., Prentice, K., Chambers, J.C., Phillips, S., and Wiechman, L.A., 2019, Integration and tradeoffs, 32 p.","productDescription":"32 p.","startPage":"189","endPage":"220","ipdsId":"IP-101977","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":365356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365322,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/treesearch/pubs/57911"},{"id":365355,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://www.fs.fed.us/rm/pubs_series/rmrs/gtr/rmrs_gtr389.pdf"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Crist, Michele R. 0000-0002-3506-3402","orcid":"https://orcid.org/0000-0002-3506-3402","contributorId":202575,"corporation":false,"usgs":true,"family":"Crist","given":"Michele","email":"","middleInitial":"R.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":765591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prentice, Karen","contributorId":177304,"corporation":false,"usgs":false,"family":"Prentice","given":"Karen","affiliations":[],"preferred":false,"id":765592,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chambers, Jeanne C.","contributorId":178256,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeanne","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":765593,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Sue 0000-0002-5891-8485","orcid":"https://orcid.org/0000-0002-5891-8485","contributorId":202349,"corporation":false,"usgs":true,"family":"Phillips","given":"Sue","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":765590,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wiechman, Lief A. 0000-0002-3804-4426","orcid":"https://orcid.org/0000-0002-3804-4426","contributorId":184047,"corporation":false,"usgs":true,"family":"Wiechman","given":"Lief","email":"","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":765594,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204643,"text":"70204643 - 2019 - Movements of immature bald eagles: Implications for bird aircraft strike hazard","interactions":[],"lastModifiedDate":"2019-08-09T10:25:38","indexId":"70204643","displayToPublicDate":"2019-05-01T08:21:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Movements of immature bald eagles: Implications for bird aircraft strike hazard","docAbstract":"Bald eagle (Haliaeetus leucocephalus) aircraft strikes have increased dramatically over the last 20 years as their populations have recovered to near historic sizes. Their attraction to airfields and their large body size makes them a danger to aircraft and therefore important to airfield wildlife managers. However, their management is complicated by their special protected status and the iconic place they hold in the eyes of the public. To help airfield wildlife managers plan monitoring efforts and make informed management decisions, we studied the movements of 32 bald eagles telemetered as nestlings in the Chesapeake Bay of Virginia, USA. Managers often need to know when fledged eagles are most likely to move enough to encounter airfields near nests.  As fledglings aged they moved progressively farther from the nest and spent more time away from the nest. Twenty-eight days after fledging, eagles spent most of the day (81±10%, 95% confidence interval) near the nest (<500 m) and only 7±7% of the daytime away from the nest (>1 km). By day 53 fledglings ventured beyond 2.5 km from the nest and spent 30 ± 15% the day >1 km away from their nest. However, distances moved were influenced by proximity of the nest to water, the quality and salinity of that water, and human population density. Eagles left their natal areas and generally migrated out of the Chesapeake Bay 60.5 ± 7.7 days (4 August) after fledging and returned to the Chesapeake Bay approximately 225 days later (March-April). Eighty-four percent (27 of 32) of the eagles that we tracked encountered 164 airfields across the east coast with 91% of those airfields located within 10 km of the Chesapeake Bay. Encounters with airfields outside the Chesapeake Bay occurred mainly during the first 1.5 years of life, peaking in late fall and early spring. Eagles were recorded on Chesapeake Bay airfields during each year, but encounters peaked in April of the first year of the bird’s life. This month coincides with the height of reported strikes of eagles by aircraft in the region. Our results suggest that eagles fledging from the Chesapeake Bay are not only an issue for airports near the Chesapeake Bay, but for airports across the east coast. Given the continued growth of the population, this issue is likely to continue and grow in significance.","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21647","usgsCitation":"Miller, T.A., Cooper, J.L., Duerr, A.E., Braham, M.A., Anderson, J.T., and Katzner, T., 2019, Movements of immature bald eagles: Implications for bird aircraft strike hazard: Journal of Wildlife Management, v. 83, no. 4, p. 879-892, https://doi.org/10.1002/jwmg.21647.","productDescription":"14 p.","startPage":"879","endPage":"892","ipdsId":"IP-104569","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":366361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.40966796875,\n              36.54494944148322\n            ],\n            [\n              -75.34423828125,\n              36.54494944148322\n            ],\n            [\n              -75.34423828125,\n              38.89103282648846\n            ],\n            [\n              -77.40966796875,\n              38.89103282648846\n            ],\n            [\n              -77.40966796875,\n              36.54494944148322\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"83","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Tricia A.","contributorId":190591,"corporation":false,"usgs":false,"family":"Miller","given":"Tricia","email":"","middleInitial":"A.","affiliations":[{"id":16210,"text":"Division of Forestry and Natural Resources, West Virginia University","active":true,"usgs":false}],"preferred":false,"id":767889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooper, Jeff L","contributorId":217949,"corporation":false,"usgs":false,"family":"Cooper","given":"Jeff","email":"","middleInitial":"L","affiliations":[{"id":35592,"text":"Virginia Department of Game and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":767890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duerr, Adam E.","contributorId":190590,"corporation":false,"usgs":false,"family":"Duerr","given":"Adam","email":"","middleInitial":"E.","affiliations":[{"id":16210,"text":"Division of Forestry and Natural Resources, West Virginia University","active":true,"usgs":false}],"preferred":false,"id":767891,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Braham, Melissa A.","contributorId":199740,"corporation":false,"usgs":false,"family":"Braham","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":34303,"text":"West Virginia University, Department of Geology & Geography","active":true,"usgs":false}],"preferred":false,"id":767892,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, James T.","contributorId":28071,"corporation":false,"usgs":false,"family":"Anderson","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":767893,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":767888,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203225,"text":"70203225 - 2019 - Historical changes in New York State streamflow: Attribution of temporal shifts and spatial patterns from 1961 to 2016","interactions":[],"lastModifiedDate":"2019-05-01T07:51:43","indexId":"70203225","displayToPublicDate":"2019-05-01T07:50:50","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Historical changes in New York State streamflow: Attribution of temporal shifts and spatial patterns from 1961 to 2016","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">To better understand the effects of climate change on streamflow, the hydrologic response to both temperature and precipitation needs to be examined at the mesoscale. New York State provides a hydrologically diverse mesoscale region, where sub-regional clusters of watersheds may respond differently to changes in temperature and in seasonal precipitation rates. Connections between streamflow and climate were examined for 97 gaging stations across the state and surrounding areas, for a historical period of 56 years of daily average streamflow. Gages were grouped into clusters if their mean annual discharge rates were strongly correlated to one another. Within each cluster, sharp temporal changes in discharge, or change points, were identified. These change points clustered both spatially and by flow regime, with low, medium, and high flows increasing around 1970 for much of the state consistent with other studies in the region. A step increase in Catskill low flows in 2003 coincides with increases in summer precipitation, and is consistent with a positive correlation between summer precipitation and annual low flows. Our results support previous studies that have shown that streamflow at this mesoscale is strongly tied to precipitation, and the strength of that connection is modulated by land cover, geographic position, and seasonal moisture conditions. Across the state, the winter-spring center of volume date has moved earlier along with increasing January streamflow rates, the result of warmer winter temperatures and an increased proportion of precipitation as rain. The transition to a post-1970s pluvial period also coincided with more frequent peak over threshold flows statewide, and this wetter period has continued to the present day.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2019.04.060","usgsCitation":"Glas, R., Burns, D., and Lautz, L.K., 2019, Historical changes in New York State streamflow: Attribution of temporal shifts and spatial patterns from 1961 to 2016: Journal of Hydrology, v. 574, p. 308-323, https://doi.org/10.1016/j.jhydrol.2019.04.060.","productDescription":"16 p.","startPage":"308","endPage":"323","ipdsId":"IP-100780","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":467652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1636018","text":"Publisher Index 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,{"id":70203231,"text":"70203231 - 2019 - Temporal variability in stream fish assemblage metrics and implications for long-term monitoring","interactions":[],"lastModifiedDate":"2019-05-01T07:41:56","indexId":"70203231","displayToPublicDate":"2019-05-01T07:40:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Temporal variability in stream fish assemblage metrics and implications for long-term monitoring","docAbstract":"<p><span>High natural variability in the condition of fish communities in headwater streams complicates detection of long-term responses to changes in water quality. As a result, little is known about the impacts and recovery of fishes from acid deposition in streams of New York. Twenty-one fish metrics from annual electrofishing surveys at 13 streams sites in the Catskill and Adirondack mountains were assessed to quantify temporal variability and identify effective monitoring strategies for detecting change in headwater stream fish assemblages. Metrics included the density and biomass of Brook Trout populations and entire fish communities using length-, area-, and effort-based standardization techniques. Linear mixed models were used to estimate changes in coefficients of variation (CV) for different classes of metrics and standardization techniques, and a simulation-based power analysis was conducted to assess differences in statistical power for each metric with various sampling designs. Metric CV varied significantly as a result of standardization technique and whether metrics were calculated for the entire community or Brook Trout only. The sampling effort necessary to detect a 30% change with power of 0.80 was strongly correlated with CV (R</span><sup>2</sup><span> = 0.77). The number of sampling events at the 13 sites needed to detect this change ranged from 1 to &gt;60, suggesting metric selection can strongly affect statistical power and the resources necessary to detect change. Thus, metric selection is a complex decision that must consider study objectives and biological relevance, in addition to natural variability and statistical power. However, adequate statistical power was achieved at relatively small sample sizes using certain metrics, indicating that fish communities in headwater streams can be a valuable component of long-term assessments of acidification impacts and recovery.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2019.01.055","usgsCitation":"George, S.D., Baldigo, B.P., and Stich, D.S., 2019, Temporal variability in stream fish assemblage metrics and implications for long-term monitoring: Ecological Indicators, v. 101, p. 661-669, https://doi.org/10.1016/j.ecolind.2019.01.055.","productDescription":"9 p.","startPage":"661","endPage":"669","ipdsId":"IP-097687","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":467653,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2019.01.055","text":"Publisher Index 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York\",\"nation\":\"USA  \"}}]}","volume":"101","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stich, Daniel S.","contributorId":139212,"corporation":false,"usgs":false,"family":"Stich","given":"Daniel","email":"","middleInitial":"S.","affiliations":[{"id":12606,"text":"University of Maine, Dept of Plant, Soil, & Envir Sciences","active":true,"usgs":false}],"preferred":false,"id":761805,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70249265,"text":"70249265 - 2019 - Risk at the margins: A natural hazards perspective on the Syrian refugee crisis in Lebanon","interactions":[],"lastModifiedDate":"2023-10-03T12:30:07.459571","indexId":"70249265","displayToPublicDate":"2019-05-01T07:28:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2036,"text":"International Journal of Disaster Risk Reduction","active":true,"publicationSubtype":{"id":10}},"title":"Risk at the margins: A natural hazards perspective on the Syrian refugee crisis in Lebanon","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"ab0010\" class=\"abstract author\"><div id=\"abs0010\"><p id=\"sp0045\"><span>Quantitative&nbsp;landslide&nbsp;</span>risk analysis<span>&nbsp;is a key step in creating appropriate land use policies. The forced migration of those displaced by recent armed conflict in Syria has highlighted the need for studies to guide humanitarian aid and&nbsp;resettlement policies. Over 1.5 million displaced Syrians now reside in Lebanon, self-settling throughout the country through urban integration and informal encampment due to Lebanon's prohibition of formal refugee camps. The Syrian-Lebanon refugee crisis coincides with the recent reexamination of the established aid practice of camp-based resettlement, focused on issues of aid efficacy, security, and human dignity but lacking an environmental hazards perspective. In light of these issues, we quantitatively assess the landslide risk profile of Lebanon, finding a 75% increase in landslide risk since the start of the Syrian crisis. The risk is highest in the debris flow-prone mountains of central and northeastern Lebanon. Additionally, Syrian refugees settled in informal camps experience 9–11 times greater risk then urban populations due to sub-standard shelter, suggesting that urban rather than camp-based resettlement policies are preferable from an environmental-hazards perspective.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijdrr.2018.11.026","usgsCitation":"Pollock, W., Wartman, J., Abou-Jaoude, G., and Grant, A.R., 2019, Risk at the margins: A natural hazards perspective on the Syrian refugee crisis in Lebanon: International Journal of Disaster Risk Reduction, v. 36, 101037, 11 p., https://doi.org/10.1016/j.ijdrr.2018.11.026.","productDescription":"101037, 11 p.","ipdsId":"IP-100840","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":467654,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijdrr.2018.11.026","text":"Publisher Index Page"},{"id":421534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Lebanon","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[35.8211,33.27743],[35.5528,33.26427],[35.46071,33.08904],[35.12605,33.0909],[35.48221,33.90545],[35.97959,34.61006],[35.9984,34.64491],[36.44819,34.59394],[36.61175,34.20179],[36.06646,33.82491],[35.8211,33.27743]]]},\"properties\":{\"name\":\"Lebanon\"}}]}","volume":"36","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pollock, William","contributorId":244344,"corporation":false,"usgs":false,"family":"Pollock","given":"William","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":884940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wartman, Joseph 0000-0001-7659-7198","orcid":"https://orcid.org/0000-0001-7659-7198","contributorId":241918,"corporation":false,"usgs":false,"family":"Wartman","given":"Joseph","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":884941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abou-Jaoude, Grace 0000-0003-1992-1611","orcid":"https://orcid.org/0000-0003-1992-1611","contributorId":244345,"corporation":false,"usgs":false,"family":"Abou-Jaoude","given":"Grace","email":"","affiliations":[{"id":48898,"text":"Lebanese American University","active":true,"usgs":false}],"preferred":false,"id":884942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grant, Alex R. 0000-0002-5096-4305","orcid":"https://orcid.org/0000-0002-5096-4305","contributorId":219066,"corporation":false,"usgs":true,"family":"Grant","given":"Alex","middleInitial":"R.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":884943,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203273,"text":"70203273 - 2019 - Virally-vectored vaccine candidates against white-nose syndrome induce anti-fungal immune response in little brown bats (Myotis lucifugus)","interactions":[],"lastModifiedDate":"2023-06-23T14:00:55.86266","indexId":"70203273","displayToPublicDate":"2019-05-01T07:11:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Virally-vectored vaccine candidates against white-nose syndrome induce anti-fungal immune response in little brown bats (<i>Myotis lucifugus</i>)","title":"Virally-vectored vaccine candidates against white-nose syndrome induce anti-fungal immune response in little brown bats (Myotis lucifugus)","docAbstract":"<div id=\"Abs1-section\" class=\"serif article-section js-article-section cleared clear\"><div id=\"Abs1-content\" class=\"pl20 mq875-pl0 js-collapsible-section\"><p><span>White-nose syndrome (WNS) caused by the fungus,&nbsp;</span><i>Pseudogymnoascus destructans</i><span>&nbsp;(</span><i>Pd</i><span>) has killed millions of North American hibernating bats. Currently, methods to prevent the disease are limited. We conducted two trials to assess potential WNS vaccine candidates in wild-caught&nbsp;</span><i>Myotis lucifugus</i><span>. In a pilot study, we immunized bats with one of four vaccine treatments or phosphate-buffered saline (PBS) as a control and challenged them with&nbsp;</span><i>Pd</i><span>&nbsp;upon transfer into hibernation chambers. Bats in one vaccine-treated group, that received raccoon poxviruses (RCN) expressing&nbsp;</span><i>Pd</i><span>&nbsp;calnexin (CAL) and serine protease (SP), developed WNS at a lower rate (1/10) than other treatments combined (14/23), although samples sizes were small. The results of a second similar trial provided additional support for this observation. Bats vaccinated orally or by injection with RCN-CAL and RCN-SP survived&nbsp;</span><i>Pd</i><span>&nbsp;challenge at a significantly higher rate (P = 0.01) than controls. Using RT-PCR and flow cytometry, combined with fluorescent&nbsp;</span><i>in situ</i><span>&nbsp;hybridization, we determined that expression of IFN-γ transcripts and the number of CD4 + T-helper cells transcribing this gene were elevated (P &lt; 0.10) in stimulated lymphocytes from surviving vaccinees (n = 15) compared to controls (n = 3). We conclude that vaccination with virally-vectored&nbsp;</span><i>Pd</i><span>antigens induced antifungal immunity that could potentially protect bats against WNS.</span></p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41598-019-43210-w","usgsCitation":"Rocke, T.E., Kingstad-Bakke, B., Wuthrich, M., Stading, B., Abbott, R.C., Isidoro Ayza, M., Dobson, H.E., dos Santos Dias, L., Galles, K., Lankton, J.S., Falendysz, E., Lorch, J.M., Fites, J.S., Lopera-Madrid, J., Klein, B., Osorio, J.E., and White, J.P., 2019, Virally-vectored vaccine candidates against white-nose syndrome induce anti-fungal immune response in little brown bats (Myotis lucifugus): Scientific Reports, v. 9, 6788, 12 p.; Data release, https://doi.org/10.1038/s41598-019-43210-w.","productDescription":"6788, 12 p.; Data release","ipdsId":"IP-106895","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":467655,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-019-43210-w","text":"Publisher Index Page"},{"id":363469,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418321,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P923NSSG","text":"USGS data release","description":"USGS data release","linkHelpText":"Virally-vectored vaccine candidates against white-nose syndrome induce anti-fungal immune response in little brown bats (Myotis lucifugus)"}],"volume":"9","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":761984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kingstad-Bakke, Brock","contributorId":174762,"corporation":false,"usgs":false,"family":"Kingstad-Bakke","given":"Brock","email":"","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":761990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wuthrich, Marcel","contributorId":215111,"corporation":false,"usgs":false,"family":"Wuthrich","given":"Marcel","email":"","affiliations":[],"preferred":false,"id":761995,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stading, Ben","contributorId":197065,"corporation":false,"usgs":false,"family":"Stading","given":"Ben","affiliations":[],"preferred":false,"id":761991,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Abbott, Rachel C. 0000-0003-4820-9295 rabbott@usgs.gov","orcid":"https://orcid.org/0000-0003-4820-9295","contributorId":1183,"corporation":false,"usgs":true,"family":"Abbott","given":"Rachel","email":"rabbott@usgs.gov","middleInitial":"C.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":761985,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isidoro Ayza, Marcos 0000-0002-9380-7254 misidoroayza@usgs.gov","orcid":"https://orcid.org/0000-0002-9380-7254","contributorId":192509,"corporation":false,"usgs":true,"family":"Isidoro Ayza","given":"Marcos","email":"misidoroayza@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":761986,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dobson, Hannah E.","contributorId":215112,"corporation":false,"usgs":false,"family":"Dobson","given":"Hannah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":762153,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"dos Santos Dias, Lucas","contributorId":215113,"corporation":false,"usgs":false,"family":"dos Santos Dias","given":"Lucas","email":"","affiliations":[],"preferred":false,"id":761996,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Galles, Kevin","contributorId":215284,"corporation":false,"usgs":false,"family":"Galles","given":"Kevin","email":"","affiliations":[{"id":39220,"text":"Departments of Pediatrics, School of Medicine and Public Health,  University of Wisconsin - Madison, Madison, Wisconsin, United States of America","active":true,"usgs":false}],"preferred":false,"id":761997,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lankton, Julia S. 0000-0002-6843-4388 jlankton@usgs.gov","orcid":"https://orcid.org/0000-0002-6843-4388","contributorId":5888,"corporation":false,"usgs":true,"family":"Lankton","given":"Julia","email":"jlankton@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":761987,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Falendysz, Elizabeth 0000-0003-2895-8918 efalendysz@usgs.gov","orcid":"https://orcid.org/0000-0003-2895-8918","contributorId":127751,"corporation":false,"usgs":true,"family":"Falendysz","given":"Elizabeth","email":"efalendysz@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":761988,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252 jlorch@usgs.gov","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":5565,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey","email":"jlorch@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":761989,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Fites, J. Scott","contributorId":215115,"corporation":false,"usgs":false,"family":"Fites","given":"J.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":761998,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lopera-Madrid, Jaime","contributorId":215116,"corporation":false,"usgs":false,"family":"Lopera-Madrid","given":"Jaime","email":"","affiliations":[],"preferred":false,"id":761992,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Klein, Bruce","contributorId":215117,"corporation":false,"usgs":false,"family":"Klein","given":"Bruce","affiliations":[],"preferred":false,"id":761999,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Osorio, Jorge E.","contributorId":174759,"corporation":false,"usgs":false,"family":"Osorio","given":"Jorge","email":"","middleInitial":"E.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":761993,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"White, J. Paul","contributorId":118346,"corporation":false,"usgs":false,"family":"White","given":"J.","email":"","middleInitial":"Paul","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":761994,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70206190,"text":"70206190 - 2019 - Higher nest predation favors rapid fledging at the cost of plumage quality in nestling birds","interactions":[],"lastModifiedDate":"2019-10-25T07:12:14","indexId":"70206190","displayToPublicDate":"2019-05-01T07:10:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5500,"text":"The American Naturalist","onlineIssn":"1537-5323","printIssn":" 0003-014","active":true,"publicationSubtype":{"id":10}},"title":"Higher nest predation favors rapid fledging at the cost of plumage quality in nestling birds","docAbstract":"<p>Life-history theory predicts that rapid growth comes at a cost to offspring quality and adult longevity. However, trade-offs have been examined primarily based on proximate variation within species rather than evolved differences across species. Evolved differences are important to examine because species may co-evolve mechanisms to reduce long-term costs of rapid growth. For example, trade-offs associated with fast growth and short development time might be expressed in ephemeral traits because costs associated with these traits are paid for only a short duration. We explored this idea using nestling body feathers, an ephemeral trait, and examined whether shorter development time yielded lower quality feathers. We found a strong trade-off whereby nestlings that spend more time in the nest produced higher quality plumage across 123 temperate and tropical species. Using a subset of these species (n=67), we found that plumage quality was lower in species with higher rates of nest predation, which favors rapid nestling growth and short development times. Our results suggest that evolution of more rapid growth may co-evolve with other mechanisms whereby long-term costs are reduced by shifting costs of allocational trade-offs to ephemeral traits that are short-lived.</p>","language":"English","publisher":"University of Chicago Press","doi":"10.1086/702856","usgsCitation":"Martin, T.E., Callan1, L.M., La Sorte2, F.A., and Vanya G. Rohwer1, 4., 2019, Higher nest predation favors rapid fledging at the cost of plumage quality in nestling birds: The American Naturalist, v. 193, no. 5, p. 717-724, https://doi.org/10.1086/702856.","productDescription":"8 p.","startPage":"717","endPage":"724","ipdsId":"IP-087217","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":368593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"193","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":773796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Callan1, Lea M.","contributorId":220017,"corporation":false,"usgs":false,"family":"Callan1","given":"Lea","email":"","middleInitial":"M.","affiliations":[{"id":38193,"text":"Cornell","active":true,"usgs":false}],"preferred":false,"id":773797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"La Sorte2, Frank A.","contributorId":220018,"corporation":false,"usgs":false,"family":"La Sorte2","given":"Frank","email":"","middleInitial":"A.","affiliations":[{"id":38193,"text":"Cornell","active":true,"usgs":false}],"preferred":false,"id":773798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vanya G. Rohwer1, 4","contributorId":220019,"corporation":false,"usgs":false,"family":"Vanya G. Rohwer1","given":"4","email":"","affiliations":[{"id":38193,"text":"Cornell","active":true,"usgs":false}],"preferred":false,"id":773799,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208521,"text":"70208521 - 2019 - A federal-state partnership for mapping Florida's coast and seafloor ","interactions":[],"lastModifiedDate":"2020-02-14T06:54:01","indexId":"70208521","displayToPublicDate":"2019-05-01T06:52:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3891,"text":"Coastal Sediments","active":true,"publicationSubtype":{"id":10}},"title":"A federal-state partnership for mapping Florida's coast and seafloor ","docAbstract":"The Florida Coastal Mapping Program, a partnership of state and federal agencies, has a goal of having modern, consistent, high- resolution sea-floor data for all of Florida’s coastal zone in the next decade to support a myriad of coastal zone science and management applications. One of the early steps in the implementation process is to prioritize and justify mapping needs. This is accomplished by holding six regional workshops across the state during which stakeholders and partners are introduced to a newly developed geospatial prioritization tool. Users independently utilize the tool to populate grid cells for a given region, and the result is a cumulative perspective on sea floor mapping priorities to inform future mapping initiatives. The tool also allows participants to indicate their primary use of sea floor mapping data and types of additional data required for their science or management need.","language":"English","publisher":"World Scientific","doi":"10.1142/9789811204487_0184","usgsCitation":"Hapke, C.J., Druyor, R., Baumstark, R.D., Kramer, P., Fitos, E., Fredericks, X., and Fetherston-Resch, E.H., 2019, A federal-state partnership for mapping Florida's coast and seafloor : Coastal Sediments, p. 2150-2158, https://doi.org/10.1142/9789811204487_0184.","productDescription":"9 p.","startPage":"2150","endPage":"2158","ipdsId":"IP-105639","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":372337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70202916,"text":"70202916 - 2019 - Revisiting Herto: New evidence of Homo sapiens from Ethiopia","interactions":[],"lastModifiedDate":"2019-12-04T18:01:01","indexId":"70202916","displayToPublicDate":"2019-04-30T18:00:37","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Revisiting Herto: New evidence of Homo sapiens from Ethiopia","docAbstract":"Localities in the radiometrically dated Upper Herto Member of Ethiopia’s Bouri Formation continue to produce new data that complement and extend initial reports of fossils and artifacts published in 2003. Results of these revisits are reported here and include the in situ recovery of artifacts from the same sediments containing hominid fossils. We evaluate the absolute and relative temporal placement of the Herto discoveries in light of new field observations and in the context of new data from the Omo Kibish Formation of southern Ethiopia. The Upper Herto Member stone tool assemblage includes artifacts normally typologically attributed to both Acheulean and Middle Stone Age industries or technocomplexes. These discoveries and other aspects of continuing Herto research help to elucidate the timing and patterns of technological, behavioral, and anatomical change in Africa during the evolution of our species.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Modern Human Origins and Dispersal","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Kerns Verlag","isbn":"9783935751308","usgsCitation":"Sahle, Y., Beyene, Y., Defleur, A., Asfaw, B., WoldeGabriel, G., Hart, W.K., Morgan, L.E., Renne, P.R., Carlson, J., and White, T., 2019, Revisiting Herto: New evidence of Homo sapiens from Ethiopia, chap. 3 <i>of</i> Modern Human Origins and Dispersal, p. 73-104.","productDescription":"32 p.","startPage":"73","endPage":"104","ipdsId":"IP-102180","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":369938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362677,"type":{"id":15,"text":"Index Page"},"url":"https://kernsverlag.com/en/modern-human-origins-and-dispersal"}],"country":"Ethiopia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[37.90607,14.95943],[38.51295,14.50547],[39.0994,14.74064],[39.34061,14.53155],[40.02625,14.51959],[40.8966,14.11864],[41.1552,13.77333],[41.59856,13.45209],[42.00975,12.86582],[42.35156,12.54223],[42,12.1],[41.66176,11.6312],[41.73959,11.35511],[41.75557,11.05091],[42.31414,11.0342],[42.55493,11.10511],[42.77685,10.92688],[42.55876,10.57258],[42.92812,10.02194],[43.29699,9.54048],[43.67875,9.18358],[46.94834,7.99688],[47.78942,8.003],[44.9636,5.00162],[43.66087,4.95755],[42.76967,4.25259],[42.12861,4.23413],[41.85508,3.91891],[41.1718,3.91909],[40.76848,4.25702],[39.85494,3.83879],[39.55938,3.42206],[38.89251,3.50074],[38.67114,3.61607],[38.43697,3.58851],[38.12092,3.59861],[36.85509,4.44786],[36.15908,4.44786],[35.81745,4.77697],[35.81745,5.33823],[35.29801,5.506],[34.70702,6.59422],[34.25032,6.82607],[34.0751,7.22595],[33.56829,7.71334],[32.95418,7.78497],[33.2948,8.35458],[33.8255,8.37916],[33.97498,8.68456],[33.96162,9.58358],[34.25745,10.63009],[34.73115,10.91017],[34.83163,11.31896],[35.26049,12.08286],[35.86363,12.57828],[36.27022,13.56333],[36.42951,14.42211],[37.59377,14.2131],[37.90607,14.95943]]]},\"properties\":{\"name\":\"Ethiopia\"}}]}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sahle, Yonatan","contributorId":214635,"corporation":false,"usgs":false,"family":"Sahle","given":"Yonatan","email":"","affiliations":[{"id":39092,"text":"1DFG Center for Advanced Studies: Words, Bones, Genes, Tools. University of Tübingen, Germany","active":true,"usgs":false}],"preferred":false,"id":760452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beyene, Yonas","contributorId":214636,"corporation":false,"usgs":false,"family":"Beyene","given":"Yonas","email":"","affiliations":[{"id":39093,"text":"2French Center for Ethiopian Studies, Addis Ababa, Ethiopia","active":true,"usgs":false}],"preferred":false,"id":760453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Defleur, Alban","contributorId":214637,"corporation":false,"usgs":false,"family":"Defleur","given":"Alban","email":"","affiliations":[{"id":39094,"text":"3CNRS UMR 5276 - Lyon Geology Laboratory, France","active":true,"usgs":false}],"preferred":false,"id":760454,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Asfaw, Berhane","contributorId":214638,"corporation":false,"usgs":false,"family":"Asfaw","given":"Berhane","email":"","affiliations":[{"id":39095,"text":"4Rift Valley Research Service, Addis Ababa, Ethiopia","active":true,"usgs":false}],"preferred":false,"id":760455,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"WoldeGabriel, Giday","contributorId":214639,"corporation":false,"usgs":false,"family":"WoldeGabriel","given":"Giday","email":"","affiliations":[{"id":39096,"text":"5Los Alamos National Laboratory, Los Alamos, NM, USA","active":true,"usgs":false}],"preferred":false,"id":760456,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hart, William K","contributorId":214640,"corporation":false,"usgs":false,"family":"Hart","given":"William","email":"","middleInitial":"K","affiliations":[{"id":39097,"text":"6Department of Geology and Environmental Earth Science, Miami University, Oxford, OH, USA","active":true,"usgs":false}],"preferred":false,"id":760457,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":760451,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Renne, Paul R.","contributorId":214641,"corporation":false,"usgs":false,"family":"Renne","given":"Paul","email":"","middleInitial":"R.","affiliations":[{"id":39098,"text":"8Berkeley Geochronology Center, Berkeley; Department of Earth & Planetary Science, University of California, Berkeley, CA, USA","active":true,"usgs":false}],"preferred":false,"id":760458,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carlson, Joshua","contributorId":214642,"corporation":false,"usgs":false,"family":"Carlson","given":"Joshua","email":"","affiliations":[{"id":39099,"text":"9Human Evolution Research Center, and Department of Integrative Biology, The University of California, Berkeley, CA, USA","active":true,"usgs":false}],"preferred":false,"id":760459,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"White, Tim D","contributorId":214643,"corporation":false,"usgs":false,"family":"White","given":"Tim D","affiliations":[{"id":39099,"text":"9Human Evolution Research Center, and Department of Integrative Biology, The University of California, Berkeley, CA, USA","active":true,"usgs":false}],"preferred":false,"id":760460,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70205133,"text":"70205133 - 2019 - Quarterly wildlife mortality report April 2019","interactions":[],"lastModifiedDate":"2023-10-13T13:48:24.681122","indexId":"70205133","displayToPublicDate":"2019-04-30T16:21:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3769,"text":"Wildlife Disease Association Newsletter","active":true,"publicationSubtype":{"id":10}},"title":"Quarterly wildlife mortality report April 2019","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Wildlife Disease Association","usgsCitation":"Richards, B.J., Grear, D.A., White, C.L., Work, T.M., and Underwood, E.A., 2019, Quarterly wildlife mortality report April 2019: Wildlife Disease Association Newsletter, p. 32-33.","productDescription":"2 p.","startPage":"32","endPage":"33","ipdsId":"IP-106783","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":367202,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367201,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.wildlifedisease.org/PersonifyEbusiness/Resources/Publications/Newsletter/Archive"}],"country":"United States","state":"Louisiana, Texas","otherGeospatial":"Palmyra Atoll","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Richards, Bryan J. 0000-0001-9955-2523 brichards@usgs.gov","orcid":"https://orcid.org/0000-0001-9955-2523","contributorId":3533,"corporation":false,"usgs":true,"family":"Richards","given":"Bryan","email":"brichards@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":770173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grear, Daniel A. 0000-0002-5478-1549 dgrear@usgs.gov","orcid":"https://orcid.org/0000-0002-5478-1549","contributorId":189819,"corporation":false,"usgs":true,"family":"Grear","given":"Daniel","email":"dgrear@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":770174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, C. LeAnn 0000-0002-5004-5165 clwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-5004-5165","contributorId":4315,"corporation":false,"usgs":true,"family":"White","given":"C.","email":"clwhite@usgs.gov","middleInitial":"LeAnn","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":770175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":770176,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Underwood, Emily A 0000-0001-9411-5084","orcid":"https://orcid.org/0000-0001-9411-5084","contributorId":218761,"corporation":false,"usgs":true,"family":"Underwood","given":"Emily","email":"","middleInitial":"A","affiliations":[{"id":38050,"text":"Contractor","active":true,"usgs":false}],"preferred":false,"id":772078,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203313,"text":"70203313 - 2019 - Evaluation of ground motion models for USGS seismic hazard forecasts: Induced and tectonic earthquakes in the Central and Eastern U.S.","interactions":[],"lastModifiedDate":"2019-05-02T15:52:52","indexId":"70203313","displayToPublicDate":"2019-04-30T15:42:58","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":"Evaluation of ground motion models for USGS seismic hazard forecasts: Induced and tectonic earthquakes in the Central and Eastern U.S.","docAbstract":"Ground motion model (GMM) selection and weighting introduces a significant source of uncertainty in United States Geological Survey (USGS) seismic hazard models. The increase in moderate moment magnitude induced earthquakes (Mw 4 to 5.8)  in Oklahoma and Kansas since 2009, due to increased wastewater injection related to oil and gas production (Keranen et al., 2013; 2014; Weingarten et al., 2015; McNamara et al., 2015a), provides useful near-source (< 40 km) instrumental ground-motion observations for comparisons between central and eastern US (CEUS)  induced (Rennolet et al., 2017) and tectonic (Goulet et al., 2014) earthquakes. In this study, we evaluate over 50 GMMs using two well-established probabilistic scoring methods: log likelihood (LLH) (Scherbaum et al., 2004; 2009) and multivariate LLH (MLLH) (Mak et al., 2017). The LLH approach compares the mean and standard deviation (σ)  of the observed and modeled ground motions. The MLLH approach advances the LLH method by considering the variability (φ,τ) of multiple correlated variables namely intra- (within) and inter- (between) event residuals.\n \nFor the probabilistic scoring GMM evaluation methods (LLH, MLLH), we compute horizontal component peak ground acceleration (PGA) and 1s period pseudo spectral acceleration (PSA1.0) total residuals using GMM software (nshmp-haz) recently implemented by the USGS National Seismic Hazard Model Project (NSHMP). We observe from LLH and MLLH scores that: 1) newer GMMs with lower standard deviations (σ,φ,τ) score better than older GMMs with higher published uncertainty; 2) 2014 CEUS GMMs score better for CEUS tectonic earthquakes than induced earthquakes; 3)   NGA-West2, G17 and A15 GMMs score well for CEUS induced earthquake ground motions; and 4) NGA-East GMMs score well for CEUS tectonic earthquake ground motions. We also use the LLH and MLLH scores to evaluate GMM weights applied in past USGS seismic hazard forecasts and to inform weighting of GMMs in future seismic hazard forecasts.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180106","usgsCitation":"McNamara, D.E., Petersen, M.D., Thompson, E.M., Powers, P.M., Shumway, A., Hoover, S.M., Moschetti, M.P., and Wolin, E., 2019, Evaluation of ground motion models for USGS seismic hazard forecasts: Induced and tectonic earthquakes in the Central and Eastern U.S.: Bulletin of the Seismological Society of America, v. 109, no. 1, p. 322-335, https://doi.org/10.1785/0120180106.","productDescription":"14 p.","startPage":"322","endPage":"335","ipdsId":"IP-103404","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":363496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"109","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"McNamara, Daniel E. 0000-0001-6860-0350 mcnamara@usgs.gov","orcid":"https://orcid.org/0000-0001-6860-0350","contributorId":402,"corporation":false,"usgs":true,"family":"McNamara","given":"Daniel","email":"mcnamara@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":146592,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":762096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powers, Peter M. 0000-0003-2124-6184 pmpowers@usgs.gov","orcid":"https://orcid.org/0000-0003-2124-6184","contributorId":176814,"corporation":false,"usgs":true,"family":"Powers","given":"Peter","email":"pmpowers@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762097,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shumway, Allison 0000-0003-1142-7141 ashumway@usgs.gov","orcid":"https://orcid.org/0000-0003-1142-7141","contributorId":147862,"corporation":false,"usgs":true,"family":"Shumway","given":"Allison","email":"ashumway@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762098,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoover, Susan M. 0000-0002-8682-6668 shoover@usgs.gov","orcid":"https://orcid.org/0000-0002-8682-6668","contributorId":5715,"corporation":false,"usgs":true,"family":"Hoover","given":"Susan","email":"shoover@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762099,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762100,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wolin, Emily 0000-0003-1610-1191 ewolin@usgs.gov","orcid":"https://orcid.org/0000-0003-1610-1191","contributorId":198778,"corporation":false,"usgs":true,"family":"Wolin","given":"Emily","email":"ewolin@usgs.gov","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":762101,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70204987,"text":"70204987 - 2019 - Shrub persistence and increased grass mortality in response to drought in dryland systems","interactions":[],"lastModifiedDate":"2021-04-02T15:01:44.360082","indexId":"70204987","displayToPublicDate":"2019-04-30T15:37:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Shrub persistence and increased grass mortality in response to drought in dryland systems","docAbstract":"<p><span>Droughts in the southwest United States have led to major forest and grassland die‐off events in recent decades, suggesting plant community and ecosystem shifts are imminent as native perennial grass populations are replaced by shrub‐ and invasive plant‐dominated systems. These patterns are similar to those observed in arid and semiarid systems around the globe, but our ability to predict which species will experience increased drought‐induced mortality in response to climate change remains limited. We investigated meteorological drought‐induced mortality of nine dominant plant species in the Colorado Plateau Desert by experimentally imposing a year‐round 35% precipitation reduction for eight continuous years. We distributed experimental plots across numerous plant, soil, and parent material types, resulting in 40 distinct sites across a 4,500&nbsp;km</span><sup>2</sup><span>&nbsp;region of the Colorado Plateau Desert. For all 8 years, we tracked c. 400 individual plants and evaluated mortality responses to treatments within and across species, and through time. We also examined the influence of abiotic and biotic site factors in driving mortality responses. Overall, high mortality trends were driven by dominant grass species, including&nbsp;</span><i>Achnatherum hymenoides</i><span>,&nbsp;</span><i>Pleuraphis jamesii</i><span>, and&nbsp;</span><i>Sporobolus cryptandrus</i><span>. Responses varied widely from year to year and dominant shrub species were generally resistant to meteorological drought, likely due to their ability to access deeper soil water. Importantly, mortality increased in the presence of invasive species regardless of treatment, and native plant die‐off occurred even under ambient conditions, suggesting that recent climate changes are already negatively impacting dominant species in these systems. Results from this long‐term drought experiment suggest major shifts in community composition and, as a result, ecosystem function. Patterns also show that, across multiple soil and plant community types, native perennial grass species may be replaced by shrubs and invasive annuals in the Colorado Plateau Desert.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.14667","usgsCitation":"Winkler, D.E., Belnap, J., Hoover, D.L., Reed, S.C., and Duniway, M.C., 2019, Shrub persistence and increased grass mortality in response to drought in dryland systems: Global Change Biology, v. 25, no. 9, p. 3121-3135, https://doi.org/10.1111/gcb.14667.","productDescription":"15 p.","startPage":"3121","endPage":"3135","ipdsId":"IP-103076","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":437477,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90C8ORJ","text":"USGS data release","linkHelpText":"Long-term precipitation reduction experiment in the Colorado Plateau - Survival and mortality data from 2010 to 2018"},{"id":366982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","city":"Moab","otherGeospatial":"Colorado Plateau Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.84130859375,\n              38.28131307922966\n            ],\n            [\n              -109.19860839843749,\n              38.28131307922966\n            ],\n            [\n              -109.19860839843749,\n              39.21523130910491\n            ],\n            [\n              -109.84130859375,\n              39.21523130910491\n            ],\n            [\n              -109.84130859375,\n              38.28131307922966\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"9","noUsgsAuthors":false,"publicationDate":"2019-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Winkler, Daniel E. 0000-0003-4825-9073","orcid":"https://orcid.org/0000-0003-4825-9073","contributorId":206786,"corporation":false,"usgs":true,"family":"Winkler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":769450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":769451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoover, David L. dlhoover@usgs.gov","contributorId":5843,"corporation":false,"usgs":true,"family":"Hoover","given":"David","email":"dlhoover@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":769452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":769453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":769454,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204573,"text":"70204573 - 2019 - Spatiotemporal distribution of waterfowl disease outbreaks in Kansas","interactions":[],"lastModifiedDate":"2019-11-01T06:26:20","indexId":"70204573","displayToPublicDate":"2019-04-30T15:36:41","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3111,"text":"Prairie Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal distribution of waterfowl disease outbreaks in Kansas","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Great Plains Natural Science Society","usgsCitation":"Haukos, D.A., 2019, Spatiotemporal distribution of waterfowl disease outbreaks in Kansas: Prairie Naturalist, v. 50, p. 4-14.","productDescription":"11 p.","startPage":"4","endPage":"14","ipdsId":"IP-085816","costCenters":[{"id":200,"text":"Coop Res Unit 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 \"}}]}","volume":"50","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":767612,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70209059,"text":"70209059 - 2019 - Snake River fall chinook salmon life history investigations, 2018 annual report","interactions":[],"lastModifiedDate":"2020-03-16T06:22:48","indexId":"70209059","displayToPublicDate":"2019-04-30T14:44:37","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Snake River fall chinook salmon life history investigations, 2018 annual report","docAbstract":"<p>The following report is divided into three sections each of which describes work conducted by different project cooperators. Chapter One describes smallmouth bass (Micropterus dolomieu) predation on subyearling fall Chinook salmon (Oncorhynchus tshawytscha) in Lower Granite Reservoir in 2018. Smallmouth bass abundance increased seasonally in shoreline habitats and was highest in the lower reach of the reservoir (1,239 fish/km of shoreline). Abundance ranged from 40,743 to 81,595 in 2018. We examined the relationship between smallmouth bass predation and subyearling habitat suitability. Bass abundance was highest in “natural” habitat (i.e., habitat with natural substrate that was not deemed suitable for subyearlings) and fish were generally larger in habitat classified as “suitable” (i.e., habitat deemed suitable rearing) for subyearling Chinook salmon. Subyearlings were present in all habitat types sampled but their abundance was 2–3 times lower in the lower reach of the reservoir. Sand rollers (Percopsis transmontana)—a common prey of smallmouth bass—were present in greatest numbers in “suitable” habitat in the upper reach and “natural” habitat in the middle reservoir reach, but few were observed in the lower reservoir. The total loss of subyearlings to smallmouth bass predation in 2018 (120,023) was slightly less than one-half that of 2016 (266,988) and more than twice that of 2017 (47,830). Total sand roller loss in 2018 (149,106) was slightly more than one-half the losses estimated in 2016 and 2017. Chapter Two describes the feasibility of using stable isotopes of carbon and nitrogen to distinguish hatchery and natural origin subyearling fall Chinook salmon that were consumed by smallmouth bass. A discriminant function was fit from isotopic signatures and fork length from known-origin hatchery and natural subyearlings. The function had an overall correct classification rate of 97.2%. Of subyearlings consumed by smallmouth bass the function correctly classified 94.3% of hatchery fish but only 64.3% of natural fish based on fish origins that were validated with parentage-based tagging (PBT) analysis. Most of the fish consumed by smallmouth bass were of hatchery origin and most of those were of the spring/summer run early in the year and of the fall run later in the year. Based on analysis of known-origin hatchery fish collected at Lower Granite Dam through time following release, using stable isotopes as a discriminatory tool is probably only effective for about two weeks following release, but may have greater utility in unimpounded systems where fish emigrate seaward more quickly. The third section of this report is a Master’s Thesis that covers work conducted under contracts 46273 REL 14 and 79562. The first chapter of the thesis examined growth of subyearling fall Chinook salmon rearing in three sections of the Snake and Clearwater rivers and Lower Granite Reservoir. Growth and food consumption were highest in the reservoir section than in riverine sections, though growth was not significantly higher in the reservoir for the full duration of the study. Julian date was the strongest predictor of growth and consumption, and both growth and consumption decreased over the course of the study, even when accounting for allometric growth effects. Findings suggest that fish rearing in the reservoir section during their early growth period may have an ephemeral energetic advantage relative to fish rearing in natal river sections. The second chapter of the thesis examined the spatial variation in natal river rearing and downstream movement in Snake River fall Chinook salmon. Based on otolith analyses, natal origin was related to differential habitat use with fish from the Clearwater River accruing 48% of their freshwater growth in their natal river compared to 40% for Snake River fish. These differences were associated with different mean size at natal river exit and at ocean entry.&nbsp;</p>","language":"English","publisher":"Bonneville Power Administration","collaboration":"Bonneville Power Administration","usgsCitation":"Tiffan, K.F., Chittaro, P.M., and Kennedy, B., 2019, Snake River fall chinook salmon life history investigations, 2018 annual report, 116 p.","productDescription":"116 p.","ipdsId":"IP-108097","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":373280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":373202,"type":{"id":15,"text":"Index Page"},"url":"https://www.cbfish.org/Document.mvc/Viewer/P166058"}],"country":"United States","state":"Idaho, Washington, Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.87207031249999,\n              45.73685954736049\n            ],\n            [\n              -116.43310546875,\n              45.07352060670968\n            ],\n            [\n              -115.29052734374997,\n              45.27488643704891\n            ],\n            [\n              -116.08154296874999,\n              46.99524110694596\n            ],\n            [\n              -118.87207031249999,\n              46.694667307773116\n            ],\n            [\n              -118.87207031249999,\n              45.73685954736049\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846 ktiffan@usgs.gov","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":3200,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","email":"ktiffan@usgs.gov","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":784668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chittaro, Paul M.","contributorId":168914,"corporation":false,"usgs":false,"family":"Chittaro","given":"Paul","email":"","middleInitial":"M.","affiliations":[{"id":6727,"text":"Pacific Northwest National Laboratory, Richland, WA","active":true,"usgs":false}],"preferred":false,"id":784669,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Brian P.","contributorId":202785,"corporation":false,"usgs":false,"family":"Kennedy","given":"Brian P.","affiliations":[],"preferred":false,"id":784670,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203992,"text":"70203992 - 2019 - Kinetic study on clogging of a geothermal pumping well triggered by mixing-induced biogeochemical reactions","interactions":[],"lastModifiedDate":"2019-06-26T13:18:43","indexId":"70203992","displayToPublicDate":"2019-04-30T13:13:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Kinetic study on clogging of a geothermal pumping well triggered by mixing-induced biogeochemical reactions","docAbstract":"<p><span>The sustainability of ground-source geothermal systems can be severely impacted by microbially mediated clogging processes. Biofouling of water wells by hydrous ferric oxide is a widespread problem. Although the mechanisms and critical environmental factors associated with clogging development are widely recognized, effects of mixing processes within the wells and time scales for clogging processes are not well characterized. Here we report insights from a joint hydrological, geochemical, and metagenomics characterization of a geothermal doublet in which hydrous ferric oxide and hydrous manganese oxide deposits had formed as a consequence of mixing shallow groundwater containing dissolved oxygen and nitrate with deeper, anoxic groundwater containing dissolved iron (Fe</span><sup>II</sup><span>) and manganese (Mn</span><sup>II</sup><span>). Metagenomics identify distinct bacteria consortia in the pumping well oxic and anoxic zones, including autotrophic iron-oxidizing bacteria. Batch mixing experiments and geochemical kinetics modeling of the associated reactions indicate that Fe</span><sup>II</sup><span>&nbsp;and Mn</span><sup>II</sup><span>&nbsp;oxidation are slow compared to the residence time of water in the pumping well; however, adsorption of Fe</span><sup>II</sup><span>&nbsp;and Mn</span><sup>II</sup><span>&nbsp;by accumulated hydrous ferric oxide and hydrous manganese oxide in the well bore and pump riser provides “infinite” time for surface-catalyzed oxidation and a convenient source of energy for iron-oxidizing bacteria, which colonize the surfaces and also catalyze oxidation. Thus, rapid clogging is caused by mixing-induced redox reactions and is exacerbated by microbial activity on accumulated hydrous oxide surfaces.</span></p>","language":"English","publisher":"American Chemical Society Publications","doi":"10.1021/acs.est.9b00453","usgsCitation":"Burte, L., Cravotta, C.A., Bethencourt, L., Farasin, J., Pedrot, M., Dufresne, A., Gerard, M., Baranger, C., Le Borgne, T., and Aquilina, L., 2019, Kinetic study on clogging of a geothermal pumping well triggered by mixing-induced biogeochemical reactions: Environmental Science & Technology, v. 53, no. 10, p. 5848-5857, https://doi.org/10.1021/acs.est.9b00453.","productDescription":"10 p.","startPage":"5848","endPage":"5857","ipdsId":"IP-104719","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":467656,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://insu.hal.science/insu-02123861","text":"External Repository"},{"id":365077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"France","city":"Orleans","volume":"53","issue":"10","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Burte, Luc","contributorId":216592,"corporation":false,"usgs":false,"family":"Burte","given":"Luc","email":"","affiliations":[{"id":39481,"text":"OSUR-UMR6118 Géosciences Rennes, Université de Rennes 1 and Centre National de la Recherche Scientifique, Rennes, France","active":true,"usgs":false}],"preferred":false,"id":765125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. 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