We have developed a new three‐dimensional seismic velocity model of the central United States (CUSVM) that includes the New Madrid Seismic Zone (NMSZ) and covers parts of Arkansas, Mississippi, Alabama, Illinois, Missouri, Kentucky, and Tennessee. The model represents a compilation of decades of crustal research consisting of seismic, aeromagnetic, and gravity profiles; geologic mapping; geophysical and geological borehole logs; and inversions of the regional seismic properties. The density, P‐ and S‐wave velocities are synthesized in a stand‐alone spatial database that can be queried to generate the required input for numerical seismic‐wave propagation simulations. We test and calibrate the CUSVM by simulating ground motions of the 18 April 2008 Mw 5.4 Mt. Carmel, Illinois, earthquake and comparing the results with observed records within the model area. The selected stations in the comparisons reflect different geological site conditions and cover distances ranging from 10 to 430 km from the epicenter. The results, based on a qualitative and quantitative goodness‐of‐fit (GOF) characterization, indicate that both within and outside the Mississippi Embayment the CUSVM reasonably reproduces: (1) the body and surface‐wave arrival times and (2) the observed regional variations in ground‐motion amplitude, cumulative energy, duration, and frequency content up to a frequency of 1.0 Hz. In addition, we discuss the probable structural causes for the ground‐motion patterns in the central United States that we observed in the recorded motions of the 18 April Mt. Carmel earthquake.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"Stanford","doi":"10.1785/0120110303","usgsCitation":"Ramírez‐Guzmán, L., Boyd, O.S., Hartzell, S.H., and Williams, R., 2012, Seismic velocity model of the central United States (Version 1): Description and simulation of the 18 April 2008 Mt. Carmel, Illinois, Earthquake: Bulletin of the Seismological Society of America, v. 102, no. 6, p. 2622-2645, https://doi.org/10.1785/0120110303.","productDescription":"24 p.","startPage":"2622","endPage":"2645","numberOfPages":"24","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037208","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":438802,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P939E3EZ","text":"USGS data release","linkHelpText":"Code to access the Central United States Velocity Model, v1.3"},{"id":438801,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P995PCQY","text":"USGS data release","linkHelpText":"Database for the Central United States Velocity Model, v1.3"},{"id":272159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272152,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120110303"}],"country":"United States","state":"Illinois","city":"Mt. Carmel","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.80,38.39 ], [ -87.80,38.44 ], [ -87.74,38.44 ], [ -87.74,38.39 ], [ -87.80,38.39 ] ] ] } } ] }","volume":"102","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-12-01","publicationStatus":"PW","scienceBaseUri":"518cc56ae4b05ebc8f7cc163","contributors":{"authors":[{"text":"Ramírez‐Guzmán, Leonardo","contributorId":83824,"corporation":false,"usgs":true,"family":"Ramírez‐Guzmán","given":"Leonardo","affiliations":[],"preferred":false,"id":476964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyd, Oliver S. olboyd@usgs.gov","contributorId":956,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":476961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":476963,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Robert A. rawilliams@usgs.gov","contributorId":1357,"corporation":false,"usgs":true,"family":"Williams","given":"Robert A.","email":"rawilliams@usgs.gov","affiliations":[{"id":301,"text":"Geologic Hazards Team","active":false,"usgs":true}],"preferred":false,"id":476962,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042537,"text":"70042537 - 2012 - Sea lamprey orient toward a source of a synthesized pheromone using odor-conditioned rheotaxis","interactions":[],"lastModifiedDate":"2013-02-28T11:49:22","indexId":"70042537","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":982,"text":"Behavioral Ecology and Sociobiology","active":true,"publicationSubtype":{"id":10}},"title":"Sea lamprey orient toward a source of a synthesized pheromone using odor-conditioned rheotaxis","docAbstract":"Characterization of vertebrate chemo-orientation strategies over long distances is difficult because it is often not feasible to conduct highly controlled hypothesis-based experiments in natural environments. To overcome the challenge, we couple in-stream behavioral observations of female sea lampreys (Petromyzon marinus) orienting to plumes of a synthesized mating pheromone, 7a,12a,24-trihydroxy-5a-cholan-3-one-24-sulfate (3kPZS), and engineering algorithms to systematically test chemo-orientation hypotheses. In-stream field observations and simulated movements of female sea lampreys according to control algorithms support that odor-conditioned rheotaxis is a component of the mechanism used to track plumes of 3kPZS over hundreds of meters in flowing water. Simulated movements of female sea lampreys do not support that rheotaxis or klinotaxis alone is sufficient to enable the movement patterns displayed by females in locating 3kPZS sources in the experimental stream. Odor-conditioned rheotaxis may not only be effective at small spatial scales as previous described in crustaceans, but may also be effectively used by fishes over hundreds of meters. These results may prove useful for developing management strategies for the control of invasive species that exploit the odor-conditioned tracking behavior and for developing biologically inspired navigation strategies for robotic fish.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Behavioral Ecology and Sociobiology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00265-012-1409-1","usgsCitation":"Johnson, N.S., Muhammad, A., Thompson, H., Choi, J., and Li, W., 2012, Sea lamprey orient toward a source of a synthesized pheromone using odor-conditioned rheotaxis: Behavioral Ecology and Sociobiology, v. 66, no. 12, p. 1557-1567, https://doi.org/10.1007/s00265-012-1409-1.","productDescription":"11 p.","startPage":"1557","endPage":"1567","numberOfPages":"11","ipdsId":"IP-025659","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268547,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00265-012-1409-1"}],"country":"United States","volume":"66","issue":"12","noUsgsAuthors":false,"publicationDate":"2012-09-22","publicationStatus":"PW","scienceBaseUri":"51308a9de4b04c194073ae50","contributors":{"authors":[{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muhammad, Azizah","contributorId":32054,"corporation":false,"usgs":true,"family":"Muhammad","given":"Azizah","email":"","affiliations":[],"preferred":false,"id":471726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Henry","contributorId":100705,"corporation":false,"usgs":true,"family":"Thompson","given":"Henry","affiliations":[],"preferred":false,"id":471729,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Choi, Jongeun","contributorId":84229,"corporation":false,"usgs":true,"family":"Choi","given":"Jongeun","affiliations":[],"preferred":false,"id":471728,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Weiming","contributorId":65440,"corporation":false,"usgs":true,"family":"Li","given":"Weiming","affiliations":[],"preferred":false,"id":471727,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70148135,"text":"70148135 - 2012 - A Bayesian spawning habitat suitability model for American shad in southeastern United States rivers","interactions":[],"lastModifiedDate":"2015-05-27T10:43:42","indexId":"70148135","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"A Bayesian spawning habitat suitability model for American shad in southeastern United States rivers","docAbstract":"Habitat suitability index models for American shad Alosa sapidissima were developed by Stier and Crance in 1985. These models, which were based on a combination of published information and expert opinion, are often used to make decisions about hydropower dam operations and fish passage. The purpose of this study was to develop updated habitat suitability index models for spawning American shad in the southeastern United States, building on the many field and laboratory studies completed since 1985. We surveyed biologists who had knowledge about American shad spawning grounds, assembled a panel of experts to discuss important habitat variables, and used raw data from published and unpublished studies to develop new habitat suitability curves. The updated curves are based on resource selection functions, which can model habitat selectivity based on use and availability of particular habitats. Using field data collected in eight rivers from Virginia to Florida (Mattaponi, Pamunkey, Roanoke, Tar, Neuse, Cape Fear, Pee Dee, St. Johns), we obtained new curves for temperature, current velocity, and depth that were generally similar to the original models. Our new suitability function for substrate was also similar to the original pattern, except that sand (optimal in the original model) has a very low estimated suitability. The Bayesian approach that we used to develop habitat suitability curves provides an objective framework for updating the model as new studies are completed and for testing the model's applicability in other parts of the species' range.
","language":"English","publisher":"Scientific Journals","doi":"10.3996/082011-JFWM-047","usgsCitation":"Hightower, J.E., Harris, J., Raabe, J.K., Brownell, P., and Drew, C.A., 2012, A Bayesian spawning habitat suitability model for American shad in southeastern United States rivers: Journal of Fish and Wildlife Management, v. 3, no. 2, p. 184-198, https://doi.org/10.3996/082011-JFWM-047.","productDescription":"15 p.","startPage":"184","endPage":"198","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032269","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":474242,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/082011-jfwm-047","text":"Publisher Index Page"},{"id":300843,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia, North Carolina, South Carolina, Virginia","otherGeospatial":"Mattaponi River, Pamunkey River, Roanoke River, Tar River, Neuse River, Cape Fear River, Pee Dee River, St. Johns River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.3876953125,\n 38.548165423046584\n ],\n [\n -77.76123046875,\n 37.317751851636906\n ],\n [\n -78.68408203124999,\n 36.38591277287651\n ],\n [\n -79.5849609375,\n 35.51434313431818\n ],\n [\n -80.15625,\n 34.813803317113155\n ],\n [\n -80.9912109375,\n 34.488447837809304\n ],\n [\n -81.9140625,\n 33.94335994657882\n ],\n [\n -82.50732421875,\n 33.815666308702774\n ],\n [\n -84.0673828125,\n 33.22949814144951\n ],\n [\n -84.990234375,\n 32.861132322810946\n ],\n [\n -85.14404296875,\n 32.76880048488168\n ],\n [\n -84.9462890625,\n 30.751277776257812\n ],\n [\n -84.7705078125,\n 29.859701442126756\n ],\n [\n -84.35302734375,\n 30.12612436422458\n ],\n [\n -83.84765625,\n 30.012030680358613\n ],\n [\n -83.14453125,\n 29.305561325527698\n ],\n [\n -82.705078125,\n 28.94086176940557\n ],\n [\n -82.72705078125,\n 28.362401735238237\n ],\n [\n -82.7490234375,\n 27.877928333679495\n ],\n [\n -80.39794921875,\n 27.858503954841247\n ],\n [\n -80.595703125,\n 28.536274512989916\n ],\n [\n -81.123046875,\n 29.516110386062277\n ],\n [\n -81.45263671875,\n 30.600093873550072\n ],\n [\n -81.27685546875,\n 31.690781806136822\n ],\n [\n -80.419921875,\n 32.47269502206151\n ],\n [\n -79.29931640625,\n 33.26624989076275\n ],\n [\n -78.6181640625,\n 33.815666308702774\n ],\n [\n -78.046875,\n 33.94335994657882\n ],\n [\n -77.27783203125,\n 34.63320791137959\n ],\n [\n -76.2890625,\n 34.90395296559004\n ],\n [\n -75.65185546874999,\n 35.67514743608467\n ],\n [\n -75.8056640625,\n 36.5978891330702\n ],\n [\n -75.95947265625,\n 37.055177106660814\n ],\n [\n -75.498046875,\n 38.048091067457236\n ],\n [\n -75.03662109375,\n 38.46219172306828\n ],\n [\n -77.3876953125,\n 38.548165423046584\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5566eab3e4b0d9246a9ec2c8","contributors":{"authors":[{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, Julianne E.","contributorId":57687,"corporation":false,"usgs":true,"family":"Harris","given":"Julianne E.","affiliations":[],"preferred":false,"id":547713,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raabe, Joshua K.","contributorId":140952,"corporation":false,"usgs":false,"family":"Raabe","given":"Joshua","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":547714,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brownell, Prescott","contributorId":54514,"corporation":false,"usgs":true,"family":"Brownell","given":"Prescott","email":"","affiliations":[],"preferred":false,"id":547715,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drew, C. Ashton","contributorId":140953,"corporation":false,"usgs":false,"family":"Drew","given":"C.","email":"","middleInitial":"Ashton","affiliations":[],"preferred":false,"id":547716,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70154950,"text":"70154950 - 2012 - Population status and habitat associations of the King Rail in the midwestern United States","interactions":[],"lastModifiedDate":"2015-07-22T09:33:47","indexId":"70154950","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Population status and habitat associations of the King Rail in the midwestern United States","docAbstract":"The migratory population of the King Rail (Rallus elegans) has declined dramatically during the past 50 years, emphasizing the need to document the distribution and status of this species to help guide conservation efforts. In an effort to guide King Rail breeding habitat protection and restoration, a landscape suitability index (LSI) model was developed for the Upper Mississippi River and Great Lakes Region Joint Venture (JV). To validate this model, 264 sites were surveyed across the JV region in 2008 and 2009 using the National Marshbird Monitoring protocol. Two other similarly collected data sets from Wisconsin (250 sites) and Ohio (259 sites) as well as data from the Cornell Laboratory of Ornithology's eBird database were added to our data set. Sampling effort was not uniform across the study area. King Rails were detected at 29 sites with the greatest concentration in southeastern Wisconsin and northeastern Illinois. Too few detections were made to validate the LSI model. King Rail detection sites tended to have microtopographic heterogeneity, more emergent herbaceous wetland vegetation and less woody vegetation. The migrant population of the King Rail is rare and warrants additional conservation efforts to achieve stated conservation population targets.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.035.0404","usgsCitation":"Bolenbaugh, J.R., Cooper, T., Brady, R.S., Willard, K.L., and Krementz, D.G., 2012, Population status and habitat associations of the King Rail in the midwestern United States: Waterbirds, v. 35, no. 4, p. 535-545, https://doi.org/10.1675/063.035.0404.","productDescription":"11 p.","startPage":"535","endPage":"545","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036202","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305876,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, Ohio, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.185546875,\n 49.009050809382046\n ],\n [\n -95.1416015625,\n 49.38237278700955\n ],\n [\n -94.81201171875,\n 49.32512199104001\n ],\n [\n -94.7021484375,\n 48.777912755501845\n ],\n [\n -93.4716796875,\n 48.63290858589532\n ],\n [\n -92.63671875,\n 48.61838518688487\n ],\n [\n -91.845703125,\n 48.29781249243716\n ],\n [\n -90.5712890625,\n 48.23930899024905\n ],\n [\n -89.47265625,\n 48.004625021133904\n ],\n [\n -88.30810546875,\n 47.44294999517949\n ],\n [\n -86.06689453125,\n 46.78501604269254\n ],\n [\n -83.60595703125,\n 45.38301927899065\n ],\n [\n -82.6611328125,\n 43.992814500489914\n ],\n [\n -82.3974609375,\n 43.03677585761058\n ],\n [\n -83.43017578125,\n 41.72213058512578\n ],\n [\n -82.50732421875,\n 41.36031866306708\n ],\n [\n -80.52978515625,\n 41.96765920367816\n ],\n [\n -80.5517578125,\n 40.979898069620155\n ],\n [\n -81.6064453125,\n 40.6639728763869\n ],\n [\n -82.6611328125,\n 40.027614437486655\n ],\n [\n -83.21044921875,\n 39.06184913429154\n ],\n [\n -83.27636718749999,\n 38.634036452919226\n ],\n [\n -83.671875,\n 38.5825261593533\n ],\n [\n -84.57275390625,\n 39.07890809706475\n ],\n [\n -84.83642578125,\n 38.993572058209466\n ],\n [\n -85.05615234375,\n 38.685509760012\n ],\n [\n -85.80322265625,\n 38.25543637637947\n ],\n [\n -86.0888671875,\n 38.013476231041935\n ],\n [\n -86.923828125,\n 37.82280243352756\n ],\n [\n -87.978515625,\n 37.84015683604134\n ],\n [\n -88.13232421875,\n 37.49229399862877\n ],\n [\n -88.52783203125,\n 37.09023980307208\n ],\n [\n -89.296875,\n 37.03763967977139\n ],\n [\n -89.53857421875,\n 37.37015718405753\n ],\n [\n -89.6044921875,\n 37.70120736474139\n ],\n [\n -90.3515625,\n 38.20365531807149\n ],\n [\n -91.14257812499999,\n 38.34165619279593\n ],\n [\n -91.82373046875,\n 38.976492485539424\n ],\n [\n -92.30712890625,\n 39.24927084622338\n ],\n [\n -92.96630859375,\n 38.993572058209466\n ],\n [\n -93.33984375,\n 38.788345355085625\n ],\n [\n -94.10888671875,\n 38.16911413556086\n ],\n [\n -94.46044921875,\n 37.45741810262938\n ],\n [\n -94.658203125,\n 37.00255267215955\n ],\n [\n -96.9873046875,\n 37.055177106660814\n ],\n [\n -97.3828125,\n 38.34165619279593\n ],\n [\n -97.3828125,\n 39.30029918615029\n ],\n [\n -96.9873046875,\n 40.04443758460859\n ],\n [\n -97.20703125,\n 41.50857729743935\n ],\n [\n -96.6357421875,\n 42.65012181368025\n ],\n [\n -96.6357421875,\n 43.48481212891603\n ],\n [\n -95.888671875,\n 43.48481212891603\n ],\n [\n -95.712890625,\n 42.87596410238254\n ],\n [\n -94.7900390625,\n 42.32606244456202\n ],\n [\n -94.3505859375,\n 41.705728515237524\n ],\n [\n -92.373046875,\n 41.77131167976407\n ],\n [\n -92.46093749999999,\n 43.48481212891603\n ],\n [\n -92.94433593749999,\n 44.11914151643737\n ],\n [\n -93.9990234375,\n 44.77793589631623\n ],\n [\n -95.0537109375,\n 46.13417004624326\n ],\n [\n -95.4052734375,\n 46.89023157359399\n ],\n [\n -95.7568359375,\n 47.84265762816535\n ],\n [\n -95.7568359375,\n 48.48748647988415\n ],\n [\n -95.185546875,\n 49.009050809382046\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55b0beaee4b09a3b01b5309e","contributors":{"authors":[{"text":"Bolenbaugh, Jason R.","contributorId":145589,"corporation":false,"usgs":false,"family":"Bolenbaugh","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":564396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooper, Tom","contributorId":145778,"corporation":false,"usgs":false,"family":"Cooper","given":"Tom","email":"","affiliations":[],"preferred":false,"id":565270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brady, Ryan S.","contributorId":145779,"corporation":false,"usgs":false,"family":"Brady","given":"Ryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":565271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Willard, Karen L.","contributorId":145780,"corporation":false,"usgs":false,"family":"Willard","given":"Karen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":565272,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krementz, David G. 0000-0002-5661-4541 dkrementz@usgs.gov","orcid":"https://orcid.org/0000-0002-5661-4541","contributorId":2827,"corporation":false,"usgs":true,"family":"Krementz","given":"David","email":"dkrementz@usgs.gov","middleInitial":"G.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":565273,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70043769,"text":"70043769 - 2012 - Re–Os geochronology of the lacustrine Green River Formation: Insights into direct depositional dating of lacustrine successions, Re–Os systematics and paleocontinental weathering","interactions":[],"lastModifiedDate":"2013-06-07T11:31:03","indexId":"70043769","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Re–Os geochronology of the lacustrine Green River Formation: Insights into direct depositional dating of lacustrine successions, Re–Os systematics and paleocontinental weathering","docAbstract":"Lacustrine sedimentary successions provide exceptionally high-resolution records of continental geological processes, responding to tectonic, climatic and magmatic influences. These successions are therefore essential for correlating geological and climatic phenomena across continents and furthermore the globe. Producing accurate geochronological frameworks within lacustrine strata is challenging because the stratigraphy is often bereft of biostratigraphy and directly dateable tuff horizons. The rhenium–osmium (Re–Os) geochronometer is a well-established tool for determining precise and accurate depositional ages of marine organic-rich rocks. Lake systems with stratified water columns are predisposed to the preservation of organic-rich rocks and thus should permit direct Re–Os geochronology of lacustrine strata. We present Re–Os systematics from one of the world's best documented lacustrine systems, the Eocene Green River Formation, providing accurate Re–Os depositional dates that are supported by Ar–Ar and U–Pb ages of intercalated tuff horizons. Precision of the Green River Formation Re–Os dates is controlled by the variation in initial 187Os/188Os and the range of 187Re/188Os ratios, as also documented in marine systems. Controls on uptake and fractionation of Re and Os are considered to relate mainly to depositional setting and the type of organic matter deposited, with the need to further understand the chelating precursors of Re and Os in organic matter highlighted. In addition to geochronology, the Re–Os data records the 187Os/188Os composition of lake water (1.41–1.54) at the time of deposition, giving an insight into continental runoff derived from weathering of the geological hinterland of the Green River Formation. Such insights enable us to evaluate fluctuations in continental climatic, tectonic and magmatic processes and provide the ability for chemostratigraphic correlation combined with direct depositional dates. Furthermore, initial 187Os/188Os values can be used as a diagnostic tool to distinguish between lacustrine and marine depositional settings when compared to known oceanic 187Os/188Os values.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth and Planetary Science Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2012.10.012","usgsCitation":"Cumming, V.M., Selby, D., and Lillis, P.G., 2012, Re–Os geochronology of the lacustrine Green River Formation: Insights into direct depositional dating of lacustrine successions, Re–Os systematics and paleocontinental weathering: Earth and Planetary Science Letters, v. 359-360, https://doi.org/10.1016/j.epsl.2012.10.012.","numberOfPages":"34","ipdsId":"IP-035807","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":488173,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/output/1498377","text":"External Repository"},{"id":273446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267778,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.epsl.2012.10.012"}],"country":"United States","state":"Colorado;Utah;Wyoming","otherGeospatial":"Greater Green River Basin;Uinta Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01638888888888889,8.333333333333334E-4 ], [ -0.01638888888888889,0.0011111111111111111 ], [ -0.016666666666666666,0.0011111111111111111 ], [ -0.016666666666666666,8.333333333333334E-4 ], [ -0.01638888888888889,8.333333333333334E-4 ] ] ] } } ] }","volume":"359-360","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b300e7e4b01368e589e3fc","contributors":{"authors":[{"text":"Cumming, Vivien M.","contributorId":69044,"corporation":false,"usgs":true,"family":"Cumming","given":"Vivien","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Selby, David","contributorId":58167,"corporation":false,"usgs":true,"family":"Selby","given":"David","affiliations":[],"preferred":false,"id":474224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lillis, Paul G. 0000-0002-7508-1699 plillis@usgs.gov","orcid":"https://orcid.org/0000-0002-7508-1699","contributorId":1817,"corporation":false,"usgs":true,"family":"Lillis","given":"Paul","email":"plillis@usgs.gov","middleInitial":"G.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":474223,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042657,"text":"pp1794A28 - 2012 - Madrean Archipelago Ecoregion: Chapter 28 in Status and trends of land change in the Western United States--1973 to 2000","interactions":[],"lastModifiedDate":"2013-02-01T11:01:39","indexId":"pp1794A28","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1794-A-28","title":"Madrean Archipelago Ecoregion: Chapter 28 in Status and trends of land change in the Western United States--1973 to 2000","docAbstract":"The Madrean Archipelago Ecoregion (Omernik, 1987; U.S. Environmental Protection Agency, 1997), also known as the “Madrean Sky Islands” or “Sky Islands,” covers an area of approximately 40,536 km2 (15,651 mi2) in southeastern Arizona and southwestern New Mexico (fig. 1). The ecoregion is bounded on the west by the Sonoran Basin and Range Ecoregion, on the east by the Chihuahuan Deserts Ecoregion, and on the north by the Arizona/New Mexico Mountains Ecoregion. This area of basin-and-range topography is one of the most biologically diverse in the world (Koprowski, 2005; Skroch, 2008). Although the mountains in the ecoregion bridge the Rocky Mountains to the north and the Sierra Madre Occidental in Mexico to the south (U.S. Environmental Protection Agency, 1997), the lower elevations act as a barrier to species dispersal. Nevertheless, the geographic convergence of these two major continental mountain ranges, as well as of the Chihuahuan Desert to the east and the Sonoran Desert to the west, forms the foundation for ecological interactions found nowhere else on Earth (Skroch, 2008).","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Status and trends of land change in the Western United States--1973 to 2000: Volume A in Status and trends of land change in the United States--1973 to 2000 (PP 1794-A)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1794A28","collaboration":"This publication is Chapter 28 in Status and trends of land change in the Western United States--1973 to 2000, which is Volume A in Status and trends of land change in the United States--1973 to 2000, PP 1794. Volume A consists of 30 chapters. For access to other chapters, please visit PP 1794-A.","usgsCitation":"Ruhlman, J., Gass, L., and Middleton, B., 2012, Madrean Archipelago Ecoregion: Chapter 28 in Status and trends of land change in the Western United States--1973 to 2000: U.S. Geological Survey Professional Paper 1794-A-28, Chapter 28: 8 p., https://doi.org/10.3133/pp1794A28.","productDescription":"Chapter 28: 8 p.","startPage":"285","endPage":"292","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":265759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1794_A_28.jpg"},{"id":265758,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/pp/1794/a/chapters/"},{"id":265756,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1794/a/"},{"id":265757,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1794/a/chapters/pp1794a_chapter28.pdf"}],"country":"United States","state":"Arizona;New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.75,31.25 ], [ -111.75,33.5 ], [ -108.25,33.5 ], [ -108.25,31.25 ], [ -111.75,31.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f7da1de4b0faa3ef21ec00","contributors":{"authors":[{"text":"Ruhlman, Jana","contributorId":93013,"corporation":false,"usgs":true,"family":"Ruhlman","given":"Jana","email":"","affiliations":[],"preferred":false,"id":472014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gass, Leila 0000-0002-3436-262X lgass@usgs.gov","orcid":"https://orcid.org/0000-0002-3436-262X","contributorId":3770,"corporation":false,"usgs":true,"family":"Gass","given":"Leila","email":"lgass@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":472012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Middleton, Barry","contributorId":38119,"corporation":false,"usgs":true,"family":"Middleton","given":"Barry","affiliations":[],"preferred":false,"id":472013,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70043893,"text":"70043893 - 2012 - Bioenergy potential of the United States constrained by satellite observations of existing productivity","interactions":[],"lastModifiedDate":"2013-04-07T08:55:45","indexId":"70043893","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Bioenergy potential of the United States constrained by satellite observations of existing productivity","docAbstract":"Background/Question/Methods \nCurrently, the United States (U.S.) supplies roughly half the world’s biofuel (secondary bioenergy), with the Energy Independence and Security Act of 2007 (EISA) stipulating an additional three-fold increase in annual production by 2022. Implicit in such energy targets is an associated increase in annual biomass demand (primary bioenergy) from roughly 2.9 to 7.4 exajoules (EJ; 1018 Joules). Yet, many of the factors used to estimate future bioenergy potential are relatively unresolved, bringing into question the practicality of the EISA’s ambitious bioenergy targets. Here, our objective was to constrain estimates of primary bioenergy potential (PBP) for the conterminous U.S. using satellite-derived net primary productivity (NPP) data (measured for every 1 km2 of the 7.2 million km2 of vegetated land in the conterminous U.S) as the most geographically explicit measure of terrestrial growth capacity. \n\nResults/Conclusions \nWe show that the annual primary bioenergy potential (PBP) of the conterminous U.S. realistically ranges from approximately 5.9 (± 1.4) to 22.2 (± 4.4) EJ, depending on land use. The low end of this range represents current harvest residuals, an attractive potential energy source since no additional harvest land is required. In contrast, the high end represents an annual harvest over an additional 5.4 million km2 or 75% of vegetated land in the conterminous U.S. While we identify EISA energy targets as achievable, our results indicate that meeting such targets using current technology would require either an 80% displacement of current croplands or the conversion of 60% of total rangelands. Our results differ from previous evaluations in that we use high resolution, satellite-derived NPP as an upper-envelope constraint on bioenergy potential, which removes the need for extrapolation of plot-level observed yields over large spatial areas. Establishing realistically constrained estimates of bioenergy potential seems a critical next step for effectively incorporating bioenergy into future U.S. energy portfolios.","largerWorkTitle":"Ecological Society of America 97th Annual Meeting, August 5-10, 2012, Portland, Oregon","language":"English","publisher":"Ecological Society of America","usgsCitation":"Reed, S.C., Smith, W.K., Cleveland, C.C., Miller, N., and Running, S.W., 2012, Bioenergy potential of the United States constrained by satellite observations of existing productivity, in Ecological Society of America 97th Annual Meeting, August 5-10, 2012, Portland, Oregon.","numberOfPages":"1","ipdsId":"IP-035942","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":270637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270636,"type":{"id":11,"text":"Document"},"url":"https://eco.confex.com/eco/2012/webprogram/Paper36186.html"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5162956ce4b0c25842758cf3","contributors":{"authors":[{"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":474406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, William K.","contributorId":23544,"corporation":false,"usgs":true,"family":"Smith","given":"William","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":474408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cleveland, Cory C.","contributorId":10264,"corporation":false,"usgs":true,"family":"Cleveland","given":"Cory","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":474407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Norman L.","contributorId":87830,"corporation":false,"usgs":true,"family":"Miller","given":"Norman L.","affiliations":[],"preferred":false,"id":474410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Running, Steven W. 0000-0001-6906-3841","orcid":"https://orcid.org/0000-0001-6906-3841","contributorId":53258,"corporation":false,"usgs":false,"family":"Running","given":"Steven","email":"","middleInitial":"W.","affiliations":[{"id":7089,"text":"University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":474409,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70042606,"text":"pp1794A16 - 2012 - Blue Mountains Ecoregion: Chapter 16 in Status and trends of land change in the Western United States--1973 to 2000","interactions":[],"lastModifiedDate":"2013-02-01T11:05:24","indexId":"pp1794A16","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1794-A-16","title":"Blue Mountains Ecoregion: Chapter 16 in Status and trends of land change in the Western United States--1973 to 2000","docAbstract":"The Blue Mountains Ecoregion encompasses approximately 65,461 km² (25,275 mi²) of land bordered on the north by the Columbia Plateau Ecoregion, on the east by the Northern Rockies Ecoregion, on the south by the Snake River Basin and the Northern Basin and Range Ecoregions, and on the west by the Cascades and the Eastern Cascades Slopes and Foothills Ecoregions (fig. 1) (Omernik, 1987; U.S. Environmental Protection Agency, 1997). Most of the Blue Mountains Ecoregion is located within Oregon (83.5 percent); 13.8 percent is in Idaho, and 2.7 percent is in Washington. The Blue Mountains are composed of primarily Paleozoic volcanic rocks, with minor sedimentary, metamorphic, and granitic rocks. Lower mountains and numerous basin-and-range areas, as well as the lack of Quaternary-age volcanoes, distinguish the Blue Mountains from the adjacent Cascade Range (Thorson and others, 2003).","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Status and trends of land change in the Western United States--1973 to 2000: Volume A in Status and trends of land change in the United States--1973 to 2000 (PP 1794-A)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1794A16","collaboration":"This publication is Chapter 16 in Status and trends of land change in the Western United States--1973 to 2000, which is Volume A in Status and trends of land change in the United States--1973 to 2000, PP 1794. Volume A consists of 30 chapters. For access to other chapters, please visit PP 1794-A.","usgsCitation":"Soulard, C.E., 2012, Blue Mountains Ecoregion: Chapter 16 in Status and trends of land change in the Western United States--1973 to 2000: U.S. Geological Survey Professional Paper 1794-A-16, Chapter 16: 9 p., https://doi.org/10.3133/pp1794A16.","productDescription":"Chapter 16: 9 p.","startPage":"169","endPage":"177","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":265653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1794_A_16.jpg"},{"id":265650,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1794/a/"},{"id":265651,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1794/a/chapters/pp1794a_chapter16.pdf"},{"id":265652,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/pp/1794/a/chapters/"}],"country":"United States","state":"Idaho;Oregon;Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.5,43.5 ], [ -121.5,46.5 ], [ -116.0,46.5 ], [ -116.0,43.5 ], [ -121.5,43.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f536f9e4b0114312ab01e5","contributors":{"authors":[{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":471922,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70042368,"text":"70042368 - 2012 - Evaluation of modal pushover-based scaling of one component of ground motion: Tall buildings","interactions":[],"lastModifiedDate":"2013-02-14T12:58:00","indexId":"70042368","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of modal pushover-based scaling of one component of ground motion: Tall buildings","docAbstract":"Nonlinear response history analysis (RHA) is now increasingly used for performance-based seismic design of tall buildings. Required for nonlinear RHAs is a set of ground motions selected and scaled appropriately so that analysis results would be accurate (unbiased) and efficient (having relatively small dispersion). This paper evaluates accuracy and efficiency of recently developed modal pushover–based scaling (MPS) method to scale ground motions for tall buildings. The procedure presented explicitly considers structural strength and is based on the standard intensity measure (IM) of spectral acceleration in a form convenient for evaluating existing structures or proposed designs for new structures. Based on results presented for two actual buildings (19 and 52 stories, respectively), it is demonstrated that the MPS procedure provided a highly accurate estimate of the engineering demand parameters (EDPs), accompanied by significantly reduced record-to-record variability of the responses. In addition, the MPS procedure is shown to be superior to the scaling procedure specified in the ASCE/SEI 7-05 document.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earthquake Spectra","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1193/1.4000091","usgsCitation":"Kalkan, E., and Chopra, A.K., 2012, Evaluation of modal pushover-based scaling of one component of ground motion: Tall buildings: Earthquake Spectra, v. 28, no. 4, p. 1469-1493, https://doi.org/10.1193/1.4000091.","startPage":"1469","endPage":"1493","ipdsId":"IP-022400","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":267396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267394,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1193/1.4000091"},{"id":267395,"type":{"id":11,"text":"Document"},"url":"https://nsmp.wr.usgs.gov/ekalkan/PDFs/A85_Kalkan_Chopra.pdf"}],"country":"United States","volume":"28","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-11-01","publicationStatus":"PW","scienceBaseUri":"511e1586e4b071e86a19a440","contributors":{"authors":[{"text":"Kalkan, Erol 0000-0002-9138-9407 ekalkan@usgs.gov","orcid":"https://orcid.org/0000-0002-9138-9407","contributorId":1218,"corporation":false,"usgs":true,"family":"Kalkan","given":"Erol","email":"ekalkan@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":471389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chopra, Anil K.","contributorId":79202,"corporation":false,"usgs":true,"family":"Chopra","given":"Anil","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":471390,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70041052,"text":"70041052 - 2012 - Chronic hydrocarbon exposure of harlequin ducks in areas affected by the Selendang Ayu oil spill at Unalaska Island, Alaska","interactions":[],"lastModifiedDate":"2012-12-01T12:34:32","indexId":"70041052","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Chronic hydrocarbon exposure of harlequin ducks in areas affected by the Selendang Ayu oil spill at Unalaska Island, Alaska","docAbstract":"We evaluated chronic exposure of harlequin ducks (Histrionicus histrionicus) to hydrocarbons associated with the 2004 M/V Selendang Ayu oil spill at Unalaska Island, Alaska. We measured levels of hepatic 7-ethoxyresorufin-O-deethylase activity (EROD) in liver biopsy samples as an indicator of hydrocarbon exposure in three oiled bays and one reference bay in 2005, 2006, and 2008. Median EROD activity in ducks from oiled bays was significantly higher than in the reference bay in seven of nine pairwise comparisons. These results indicated that harlequin ducks were exposed to lingering hydrocarbons more than three years after the spill.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SETAC","publisherLocation":"Brussels, Belgium","doi":"10.1002/etc.1997","usgsCitation":"Flint, P.L., Schamber, J., Trust, K., Miles, A., Henderson, J., and Wilson, B., 2012, Chronic hydrocarbon exposure of harlequin ducks in areas affected by the Selendang Ayu oil spill at Unalaska Island, Alaska: Environmental Toxicology and Chemistry, v. 31, no. 12, p. 2828-2831, https://doi.org/10.1002/etc.1997.","productDescription":"4 p.","startPage":"2828","endPage":"2831","ipdsId":"IP-037063","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":263537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263536,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.1997"}],"country":"United States","state":"Alaska","otherGeospatial":"Unalaska Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -166.7784,53.8017 ], [ -166.7784,54.0101 ], [ -166.3718,54.0101 ], [ -166.3718,53.8017 ], [ -166.7784,53.8017 ] ] ] } } ] }","volume":"31","issue":"12","noUsgsAuthors":false,"publicationDate":"2012-08-29","publicationStatus":"PW","scienceBaseUri":"50d90f8ae4b0af4069e45478","contributors":{"authors":[{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":469269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schamber, J.L.","contributorId":92012,"corporation":false,"usgs":true,"family":"Schamber","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":469273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trust, K.A.","contributorId":107465,"corporation":false,"usgs":true,"family":"Trust","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":469274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miles, A.K. 0000-0002-3108-808X","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":85902,"corporation":false,"usgs":true,"family":"Miles","given":"A.K.","affiliations":[],"preferred":false,"id":469272,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Henderson, J.D.","contributorId":61275,"corporation":false,"usgs":true,"family":"Henderson","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":469271,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, B.W.","contributorId":32897,"corporation":false,"usgs":true,"family":"Wilson","given":"B.W.","email":"","affiliations":[],"preferred":false,"id":469270,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70041050,"text":"70041050 - 2012 - High shrew diversity on Alaska's Seward Peninsula: Community assembly and environmental change","interactions":[],"lastModifiedDate":"2018-06-12T20:51:42","indexId":"70041050","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2901,"text":"Northwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"High shrew diversity on Alaska's Seward Peninsula: Community assembly and environmental change","docAbstract":"In September 2010, 6 species of shrews (genus: Sorex) were collected at a single locality on the Seward Peninsula of Alaska. Such high sympatric diversity within a single mammalian genus is seldom realized. This phenomenon at high latitudes highlights complex Arctic community dynamics that reflect significant turnover through time as a consequence of environmental change. Each of these shrew species occupies a broad geographic distribution collectively spanning the entire Holarctic, although the study site lies within Eastern Beringia, near the periphery of all individual ranges. A review of published genetic evidence reflects a depauperate shrew community within ice-free Beringia through the last glaciation, and recent assembly of current diversity during the Holocene.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Northwestern Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Northwestern Vertebrate Biology","publisherLocation":"www.snwvb.org","doi":"10.1898/nwn11-26.1","usgsCitation":"Hope, A.G., 2012, High shrew diversity on Alaska's Seward Peninsula: Community assembly and environmental change: Northwestern Naturalist, v. 93, no. 2, p. 101-110, https://doi.org/10.1898/nwn11-26.1.","productDescription":"10 p.","startPage":"101","endPage":"110","ipdsId":"IP-036890","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":263557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263556,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1898/nwn11-26.1"}],"country":"United States","state":"Alaska","otherGeospatial":"Seward Peninsula","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -167.72,64.48 ], [ -167.72,66.44 ], [ -159.49,66.44 ], [ -159.49,64.48 ], [ -167.72,64.48 ] ] ] } } ] }","volume":"93","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50dec30be4b0dfbe79e5cb47","contributors":{"authors":[{"text":"Hope, Andrew G. 0000-0003-3814-2891 ahope@usgs.gov","orcid":"https://orcid.org/0000-0003-3814-2891","contributorId":4309,"corporation":false,"usgs":true,"family":"Hope","given":"Andrew","email":"ahope@usgs.gov","middleInitial":"G.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":469262,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70041077,"text":"70041077 - 2012 - Structure of marine predator and prey communities along environmental gradients in a glaciated fjord","interactions":[],"lastModifiedDate":"2018-04-04T11:20:18","indexId":"70041077","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Structure of marine predator and prey communities along environmental gradients in a glaciated fjord","docAbstract":"Spatial patterns of marine predator communities are influenced to varying degrees by prey distribution and environmental gradients. We examined physical and biological attributes of an estuarine fjord with strong glacier influence to determine the factors that most influence the structure of predator and prey communities. Our results suggest that some species, such as walleye pollock (Theragra chalcogramma), black-legged kittiwake (Rissa tridactyla), and glaucous-winged gull (Larus glaucescens), were widely distributed across environmental gradients, indicating less specialization, whereas species such as capelin (Mallotus villosus), harbor seal (Phoca vitulina), and Kittlitz's murrelet (Brachyramphus brevirostris) appeared to have more specialized habitat requirements related to glacial influence. We found that upper trophic level communities were well correlated with their mid trophic level prey community, but strong physical gradients in photic depth, temperature, and nutrients played an important role in community structure as well. Mid-trophic level forage fish communities were correlated with the physical gradients more closely than upper trophic levels were, and they showed strong affinity to tidewater glaciers. Silica was closely correlated with the distribution of fish communities, the mechanisms of which deserve further study.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Canadian Science Publishing","publisherLocation":"Ottawa, Ontario","doi":"10.1139/f2012-117","usgsCitation":"Renner, M., Arimitsu, M.L., and Piatt, J.F., 2012, Structure of marine predator and prey communities along environmental gradients in a glaciated fjord: Canadian Journal of Fisheries and Aquatic Sciences, v. 69, no. 12, p. 2029-2045, https://doi.org/10.1139/f2012-117.","productDescription":"17 p.","startPage":"2029","endPage":"2045","ipdsId":"IP-038525","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":263541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264125,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/f2012-117"}],"country":"United States","state":"Alaska","otherGeospatial":"Glacier Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -137.429,58.2373 ], [ -137.429,59.141 ], [ -135.509,59.141 ], [ -135.509,58.2373 ], [ -137.429,58.2373 ] ] ] } } ] }","volume":"69","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d20cc7e4b08b071e771bda","contributors":{"authors":[{"text":"Renner, Martin","contributorId":18648,"corporation":false,"usgs":true,"family":"Renner","given":"Martin","affiliations":[],"preferred":false,"id":469359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arimitsu, Mayumi L. 0000-0001-6982-2238 marimitsu@usgs.gov","orcid":"https://orcid.org/0000-0001-6982-2238","contributorId":140501,"corporation":false,"usgs":true,"family":"Arimitsu","given":"Mayumi","email":"marimitsu@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":469360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":469358,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041066,"text":"70041066 - 2012 - Moderating Argos location errors in animal tracking data","interactions":[],"lastModifiedDate":"2012-12-18T17:17:18","indexId":"70041066","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Moderating Argos location errors in animal tracking data","docAbstract":"1. The Argos System is used worldwide to satellite-track free-ranging animals, but location errors can range from tens of metres to hundreds of kilometres. Low-quality locations (Argos classes A, 0, B and Z) dominate animal tracking data. Standard-quality animal tracking locations (Argos classes 3, 2 and 1) have larger errors than those reported in Argos manuals.\n2. The Douglas Argos-filter (DAF) algorithm flags implausible locations based on user-defined thresholds that allow the algorithm's performance to be tuned to species' movement behaviours and study objectives. The algorithm is available in Movebank – a free online infrastructure for storing, managing, sharing and analysing animal movement data.\n3. We compared 21,044 temporally paired global positioning system (GPS) locations with Argos location estimates collected from Argos transmitters on free-ranging waterfowl and condors (13 species, 314 individuals, 54,895 animal-tracking days). The 95th error percentiles for unfiltered Argos locations 0, A, B and Z were within 35·8, 59·6, 163·2 and 220·2 km of the true location, respectively. After applying DAF with liberal thresholds, roughly 20% of the class 0 and A locations and 45% of the class B and Z locations were excluded, and the 95th error percentiles were reduced to 17·2, 15·0, 20·9 and 18·6 km for classes 0, A, B and Z, respectively. As thresholds were applied more conservatively, fewer locations were retained, but they possessed higher overall accuracy.\n4. Douglas Argos-filter can improve data accuracy by 50–90% and is an effective and flexible tool for preparing Argos data for direct biological interpretation or subsequent modelling.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Methods in Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.2041-210X.2012.00245.x","usgsCitation":"Douglas, D.C., Weinziert, R., Davidson, S.C., Kays, R., Wikelski, M., and Bohrer, G., 2012, Moderating Argos location errors in animal tracking data: Methods in Ecology and Evolution, v. 3, no. 6, p. 999-1007, https://doi.org/10.1111/j.2041-210X.2012.00245.x.","productDescription":"8 p.","startPage":"999","endPage":"1007","ipdsId":"IP-039258","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":474238,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.2041-210x.2012.00245.x","text":"Publisher Index Page"},{"id":263567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263566,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.2041-210X.2012.00245.x"}],"volume":"3","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-10-10","publicationStatus":"PW","scienceBaseUri":"50d20c82e4b08b071e771baf","contributors":{"authors":[{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":469315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weinziert, Rolf","contributorId":24665,"corporation":false,"usgs":true,"family":"Weinziert","given":"Rolf","email":"","affiliations":[],"preferred":false,"id":469316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davidson, Sarah C.","contributorId":31651,"corporation":false,"usgs":true,"family":"Davidson","given":"Sarah","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":469317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kays, Roland","contributorId":83815,"corporation":false,"usgs":true,"family":"Kays","given":"Roland","affiliations":[],"preferred":false,"id":469320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wikelski, Martin","contributorId":76451,"corporation":false,"usgs":true,"family":"Wikelski","given":"Martin","affiliations":[],"preferred":false,"id":469319,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bohrer, Gil","contributorId":66569,"corporation":false,"usgs":true,"family":"Bohrer","given":"Gil","affiliations":[],"preferred":false,"id":469318,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70041047,"text":"70041047 - 2012 - Rapid movement of frozen debris-lobes: implications for permafrost degradation and slope instability in the south-central Brooks Range, Alaska","interactions":[],"lastModifiedDate":"2012-12-01T15:57:31","indexId":"70041047","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2824,"text":"Natural Hazards and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Rapid movement of frozen debris-lobes: implications for permafrost degradation and slope instability in the south-central Brooks Range, Alaska","docAbstract":"We present the results of a reconnaissance investigation of unusual debris mass-movement features on permafrost slopes that pose a potential infrastructure hazard in the south-central Brooks Range, Alaska. For the purpose of this paper, we describe these features as frozen debris-lobes. We focus on the characterisation of frozen debris-lobes as indicators of various movement processes using ground-based surveys, remote sensing, field and laboratory measurements, and time-lapse observations of frozen debris-lobe systems along the Dalton Highway. Currently, some frozen debris-lobes exceed 100 m in width, 20 m in height and 1000 m in length. Our results indicate that frozen debris-lobes have responded to climate change by becoming increasingly active during the last decades, resulting in rapid downslope movement. Movement indicators observed in the field include toppling trees, slumps and scarps, detachment slides, striation marks on frozen sediment slabs, recently buried trees and other vegetation, mudflows, and large cracks in the lobe surface. The type and diversity of observed indicators suggest that the lobes likely consist of a frozen debris core, are subject to creep, and seasonally unfrozen surface sediment is transported in warm seasons by creep, slumping, viscous flow, blockfall and leaching of fines, and in cold seasons by creep and sliding of frozen sediment slabs. Ground-based measurements on one frozen debris-lobe over three years (2008–2010) revealed average movement rates of approximately 1 cm day−1, which is substantially larger than rates measured in historic aerial photography from the 1950s to 1980s. We discuss how climate change may further influence frozen debris-lobe dynamics, potentially accelerating their movement. We highlight the potential direct hazard that one of the studied frozen debris-lobes may pose in the coming years and decades to the nearby Trans Alaska Pipeline System and the Dalton Highway, the main artery for transportation between Interior Alaska and the North Slope.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Hazards and Earth System Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","publisherLocation":"Munich, Germany","doi":"10.5194/nhess-12-1521-2012","usgsCitation":"Daanen, R., Grosse, G., Darrow, M., Hamilton, T.D., and Jones, B.M., 2012, Rapid movement of frozen debris-lobes: implications for permafrost degradation and slope instability in the south-central Brooks Range, Alaska: Natural Hazards and Earth System Sciences, v. 12, no. 5, p. 1521-1537, https://doi.org/10.5194/nhess-12-1521-2012.","productDescription":"17 p.","startPage":"1521","endPage":"1537","additionalOnlineFiles":"Y","ipdsId":"IP-035960","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":474237,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/nhess-12-1521-2012","text":"Publisher Index Page"},{"id":263540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263538,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/nhess-12-1521-2012"},{"id":263539,"type":{"id":11,"text":"Document"},"url":"https://www.nat-hazards-earth-syst-sci.net/12/1521/2012/nhess-12-1521-2012.pdf"}],"country":"United States","state":"Alaska","otherGeospatial":"Brooks Range","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -150.0,67.5 ], [ -150.0,68.0 ], [ -149.5,68.0 ], [ -149.5,67.5 ], [ -150.0,67.5 ] ] ] } } ] }","volume":"12","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-05-21","publicationStatus":"PW","scienceBaseUri":"50e49be3e4b0e8fec6cda573","contributors":{"authors":[{"text":"Daanen, R.P.","contributorId":9148,"corporation":false,"usgs":true,"family":"Daanen","given":"R.P.","email":"","affiliations":[],"preferred":false,"id":469253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grosse, G.","contributorId":82140,"corporation":false,"usgs":true,"family":"Grosse","given":"G.","affiliations":[],"preferred":false,"id":469256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Darrow, M.M.","contributorId":63286,"corporation":false,"usgs":true,"family":"Darrow","given":"M.M.","email":"","affiliations":[],"preferred":false,"id":469255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hamilton, T. D.","contributorId":36921,"corporation":false,"usgs":true,"family":"Hamilton","given":"T.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":469254,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":469252,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70041079,"text":"70041079 - 2012 - Molecular detection of hematozoa infections in tundra swans relative to migration patterns and ecological conditions at breeding grounds","interactions":[],"lastModifiedDate":"2018-07-15T18:36:44","indexId":"70041079","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Molecular detection of hematozoa infections in tundra swans relative to migration patterns and ecological conditions at breeding grounds","docAbstract":"Tundra swans (Cygnus columbianus) are broadly distributed in North America, use a wide variety of habitats, and exhibit diverse migration strategies. We investigated patterns of hematozoa infection in three populations of tundra swans that breed in Alaska using satellite tracking to infer host movement and molecular techniques to assess the prevalence and genetic diversity of parasites. We evaluated whether migratory patterns and environmental conditions at breeding areas explain the prevalence of blood parasites in migratory birds by contrasting the fit of competing models formulated in an occupancy modeling framework and calculating the detection probability of the top model using Akaike Information Criterion (AIC). We described genetic diversity of blood parasites in each population of swans by calculating the number of unique parasite haplotypes observed. Blood parasite infection was significantly different between populations of Alaska tundra swans, with the highest estimated prevalence occurring among birds occupying breeding areas with lower mean daily wind speeds and higher daily summer temperatures. Models including covariates of wind speed and temperature during summer months at breeding grounds better predicted hematozoa prevalence than those that included annual migration distance or duration. Genetic diversity of blood parasites in populations of tundra swans appeared to be relative to hematozoa prevalence. Our results suggest ecological conditions at breeding grounds may explain differences of hematozoa infection among populations of tundra swans that breed in Alaska.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0045789","usgsCitation":"Ramey, A.M., Ely, C.R., Schmutz, J.A., Pearce, J.M., and Heard, D.J., 2012, Molecular detection of hematozoa infections in tundra swans relative to migration patterns and ecological conditions at breeding grounds: PLoS ONE, v. 7, no. 9, e45789; 12 p., https://doi.org/10.1371/journal.pone.0045789.","productDescription":"e45789; 12 p.","ipdsId":"IP-039618","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":474240,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0045789","text":"Publisher Index Page"},{"id":263569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263568,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0045789"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,51.2 ], [ 172.5,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.5,51.2 ] ] ] } } ] }","volume":"7","issue":"9","noUsgsAuthors":false,"publicationDate":"2012-09-25","publicationStatus":"PW","scienceBaseUri":"50e06fa0e4b0fec3206ed1bd","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":469367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ely, Craig R. 0000-0003-4262-0892 cely@usgs.gov","orcid":"https://orcid.org/0000-0003-4262-0892","contributorId":3214,"corporation":false,"usgs":true,"family":"Ely","given":"Craig","email":"cely@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":469366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":469365,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearce, John M. 0000-0002-8503-5485 jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":469364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heard, Darryl J.","contributorId":90998,"corporation":false,"usgs":true,"family":"Heard","given":"Darryl","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":469368,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70154860,"text":"70154860 - 2012 - Spatial and temporal patterns of surface water quality and ichthyotoxicity in urban and rural river basins in Texas","interactions":[],"lastModifiedDate":"2015-07-15T15:10:25","indexId":"70154860","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal patterns of surface water quality and ichthyotoxicity in urban and rural river basins in Texas","docAbstract":"The Double Mountain Fork Brazos River (Texas, USA) consists of North (NF) and South Forks (SF). The NF receives urban runoff and twice-reclaimed wastewater effluent, whereas the SF flows through primarily rural areas. The objective of this study was to determine and compare associations between standard water quality variables and ichthyotoxicity at a landscape scale that included urban (NF) and rural (SF) sites. Five NF and three SF sites were sampled quarterly from March 2008 to March 2009 for specific conductance, salinity, hardness, pH, temperature, and turbidity; and a zebrafish (Danio rerio) embryo bioassay was used to determine ichthyotoxicity. Metal and nutrient concentrations at all sites were also measured in addition to standard water quality variables in spring 2009. Principal component analyses identified hardness, specific conductance, and salinity as the water variables that best differentiate the urban NF (higher levels) from rural SF habitat. Nutrient levels were also higher in the NF, but no landscape scale patterns in metal concentrations were observed. Ichthyotoxicity was generally higher in NF water especially in winter, and multiple regression analyses suggested a positive association between water hardness and ichthyotoxicity. To test for the potential influence of the toxic golden alga (Prymnesium parvum) on overall ichthyotoxicity, a cofactor known to enhance golden alga toxin activity was used in the bioassays. Golden alga ichthyotoxicity was detected in the NF but not the SF, suggesting golden alga may have contributed to overall ichthyotoxicity in the urban but not in the rural system. In conclusion, the physicochemistry of the urban-influenced NF water was conducive to the expression of ichthyotoxicity and also point to water hardness as a novel factor influencing golden alga ichthyotoxicity in surface waters.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2012.05.002","usgsCitation":"VanLandeghem, M., Meyer, M.D., Cox, S., Sharma, B., and Patino, R., 2012, Spatial and temporal patterns of surface water quality and ichthyotoxicity in urban and rural river basins in Texas: Water Research, v. 20, p. 6638-6651, https://doi.org/10.1016/j.watres.2012.05.002.","productDescription":"46","startPage":"6638","endPage":"6651","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019013","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","city":"Lubbock","otherGeospatial":"Brazos River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -101.94797515869139,\n 33.52565471117594\n ],\n [\n -101.94797515869139,\n 33.62376800118814\n ],\n [\n -101.78352355957031,\n 33.62376800118814\n ],\n [\n -101.78352355957031,\n 33.52565471117594\n ],\n [\n -101.94797515869139,\n 33.52565471117594\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -101.21429443359375,\n 32.99829825477535\n ],\n [\n -101.21429443359375,\n 33.08118605830584\n ],\n [\n -101.01242065429686,\n 33.08118605830584\n ],\n [\n -101.01242065429686,\n 32.99829825477535\n ],\n [\n -101.21429443359375,\n 32.99829825477535\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55a78439e4b0183d66e45e96","contributors":{"authors":[{"text":"VanLandeghem, Matthew M.","contributorId":143728,"corporation":false,"usgs":false,"family":"VanLandeghem","given":"Matthew M.","affiliations":[],"preferred":false,"id":564884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Matthew D.","contributorId":145648,"corporation":false,"usgs":false,"family":"Meyer","given":"Matthew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":564885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, Stephen B.","contributorId":101505,"corporation":false,"usgs":true,"family":"Cox","given":"Stephen B.","affiliations":[],"preferred":false,"id":564886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sharma, Bibek","contributorId":100106,"corporation":false,"usgs":false,"family":"Sharma","given":"Bibek","email":"","affiliations":[],"preferred":false,"id":564887,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564287,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70045593,"text":"70045593 - 2012 - Using a non-physical behavioural barrier to alter migration routing of juvenile Chinook salmon in the Sacramento–San Joaquin River Delta","interactions":[],"lastModifiedDate":"2018-09-25T11:07:01","indexId":"70045593","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Using a non-physical behavioural barrier to alter migration routing of juvenile Chinook salmon in the Sacramento–San Joaquin River Delta","docAbstract":"Anthropogenic alterations to river systems, such as irrigation and hydroelectric development, can negatively affect fish populations by reducing survival when fish are routed through potentially dangerous locations. Non-physical barriers using behavioural stimuli are one means of guiding fish away from such locations without obstructing water flow. In the Sacramento–San Joaquin River Delta, we evaluated a bio-acoustic fish fence (BAFF) composed of strobe lights, sound and a bubble curtain, which was intended to divert juvenile Chinook salmon (Oncorhynchus tshawytscha) away from Georgiana Slough, a low-survival migration route that branches off the Sacramento River. To quantify fish response to the BAFF, we estimated individual entrainment probabilities from two-dimensional movement paths of juvenile salmon implanted with acoustic transmitters. Overall, 7.7% of the fish were entrained into Georgiana Slough when the BAFF was on, and 22.3% were entrained when the BAFF was off, but a number of other factors influenced the performance of the BAFF. The effectiveness of the BAFF declined with increasing river discharge, likely because increased water velocities reduced the ability of fish to avoid being swept across the BAFF into Georgiana Slough. The BAFF reduced entrainment probability by up to 40 percentage points near the critical streakline, which defined the streamwise division of flow vectors entering each channel. However, the effect of the BAFF declined moving in either direction away from the critical streakline. Our study shows how fish behaviour and the environment interacted to influence the performance of a non-physical behavioural barrier in an applied setting.
","language":"English","publisher":"John Wiley & Sons","doi":"10.1002/rra.2628","usgsCitation":"Perry, R., Romine, J., Adams, N., Blake, A., Burau, J., Johnston, S., and Liedtke, T., 2012, Using a non-physical behavioural barrier to alter migration routing of juvenile Chinook salmon in the Sacramento–San Joaquin River Delta: River Research and Applications, v. 30, no. 2, p. 192-203, https://doi.org/10.1002/rra.2628.","productDescription":"12 p.","startPage":"192","endPage":"203","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039363","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":273118,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin River Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.21,37.91 ], [ -122.21,38.22 ], [ -121.50,38.22 ], [ -121.50,37.91 ], [ -122.21,37.91 ] ] ] } } ] }","volume":"30","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-12-20","publicationStatus":"PW","scienceBaseUri":"51adbaebe4b07c214e64bd53","contributors":{"authors":[{"text":"Perry, R.W.","contributorId":43947,"corporation":false,"usgs":true,"family":"Perry","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":477911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romine, J.G.","contributorId":58540,"corporation":false,"usgs":true,"family":"Romine","given":"J.G.","email":"","affiliations":[],"preferred":false,"id":477912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, N.S.","contributorId":93175,"corporation":false,"usgs":true,"family":"Adams","given":"N.S.","affiliations":[],"preferred":false,"id":477913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blake, A.R. 0000-0001-7348-2336","orcid":"https://orcid.org/0000-0001-7348-2336","contributorId":94576,"corporation":false,"usgs":true,"family":"Blake","given":"A.R.","affiliations":[],"preferred":false,"id":477914,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burau, J.R. 0000-0002-5196-5035","orcid":"https://orcid.org/0000-0002-5196-5035","contributorId":7307,"corporation":false,"usgs":true,"family":"Burau","given":"J.R.","affiliations":[],"preferred":false,"id":477908,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnston, S.V.","contributorId":34807,"corporation":false,"usgs":true,"family":"Johnston","given":"S.V.","email":"","affiliations":[],"preferred":false,"id":477910,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liedtke, T.L.","contributorId":32800,"corporation":false,"usgs":true,"family":"Liedtke","given":"T.L.","email":"","affiliations":[],"preferred":false,"id":477909,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70156367,"text":"70156367 - 2012 - Alewife in the Great Lakes: Old invader - New millennium","interactions":[],"lastModifiedDate":"2021-10-28T16:30:29.332302","indexId":"70156367","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Alewife in the Great Lakes: Old invader - New millennium","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Great Lakes fisheries policy and management: a binational perspective","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Michigan State University Press","publisherLocation":"East Lansing, MI","usgsCitation":"O’Gorman, R., Madenjian, C.P., Roseman, E., Cook, A., and Gorman, O.T., 2012, Alewife in the Great Lakes: Old invader - New millennium, chap. of Great Lakes fisheries policy and management: a binational perspective, p. 705-732.","productDescription":"18 p.","startPage":"705","endPage":"732","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-017638","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":307009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.91552734375,\n 44.28453670601888\n ],\n [\n -76.4813232421875,\n 44.319918120477425\n ],\n [\n -77.113037109375,\n 44.01652134387754\n ],\n [\n -77.640380859375,\n 44.08758502824516\n ],\n [\n -79.2938232421875,\n 43.8503744993026\n ],\n [\n -79.9090576171875,\n 43.30119623257966\n ],\n [\n -79.2718505859375,\n 43.153101551466385\n ],\n [\n -78.6236572265625,\n 43.32517767999296\n ],\n [\n -77.431640625,\n 43.213183300738876\n ],\n [\n -76.871337890625,\n 43.22519255488632\n ],\n [\n -76.102294921875,\n 43.56845179881218\n ],\n [\n -75.91552734375,\n 44.28453670601888\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.870849609375,\n 42.75104599038353\n ],\n [\n -78.8763427734375,\n 42.896088552971065\n ],\n [\n -79.5025634765625,\n 42.88803956056295\n ],\n [\n -80.2386474609375,\n 42.79540065303723\n ],\n [\n -80.5517578125,\n 42.61374895431491\n ],\n [\n -81.2933349609375,\n 42.69051116998238\n ],\n [\n -82.1722412109375,\n 42.24071874922666\n ],\n [\n -82.55126953124999,\n 42.05745022024682\n ],\n [\n -82.803955078125,\n 42.05337156043361\n ],\n [\n -82.99621582031249,\n 42.049292638686836\n ],\n [\n -83.1060791015625,\n 42.13082130188811\n ],\n [\n -83.22143554687499,\n 42.14304156290942\n ],\n [\n -83.5345458984375,\n 41.693424216151314\n ],\n [\n -83.353271484375,\n 41.623655390686395\n ],\n [\n -83.111572265625,\n 41.566141964768384\n ],\n [\n -83.0401611328125,\n 41.43860847395721\n ],\n [\n -82.913818359375,\n 41.376808565702355\n ],\n [\n -82.79296874999999,\n 41.430371882652814\n ],\n [\n -82.44140625,\n 41.36444153054222\n ],\n [\n -81.9964599609375,\n 41.47977575214487\n ],\n [\n -81.650390625,\n 41.47566020027821\n ],\n [\n -81.1669921875,\n 41.734429390721\n ],\n [\n -79.73876953125,\n 42.20817645934742\n ],\n [\n -78.9312744140625,\n 42.63799988907408\n ],\n [\n -78.870849609375,\n 42.75104599038353\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.45263671875,\n 45.182036837015886\n ],\n [\n -80.870361328125,\n 44.5435052132082\n ],\n [\n -80.760498046875,\n 44.66083904265621\n ],\n [\n -80.1123046875,\n 44.402391829093915\n ],\n [\n -79.94750976562499,\n 44.41024041296011\n ],\n [\n -79.903564453125,\n 44.77013681219717\n ],\n [\n -79.69482421875,\n 44.69989765840318\n ],\n [\n -79.716796875,\n 44.91813929958515\n ],\n [\n -80.67260742187499,\n 45.96642454131025\n ],\n [\n -81.8701171875,\n 46.17983040759436\n ],\n [\n -84.00146484374999,\n 46.38483322349276\n ],\n [\n -84.26513671875,\n 46.27863122156088\n ],\n [\n -84.100341796875,\n 46.03510927947334\n ],\n [\n -84.803466796875,\n 46.09609080214316\n ],\n [\n -84.715576171875,\n 45.729191061299915\n ],\n [\n -84.26513671875,\n 45.61403741135093\n ],\n [\n -83.682861328125,\n 45.31352900692258\n ],\n [\n -83.441162109375,\n 45.1742925240767\n ],\n [\n -83.46313476562499,\n 45.01141864227728\n ],\n [\n -83.309326171875,\n 44.80132682904856\n ],\n [\n -83.441162109375,\n 44.32384807250689\n ],\n [\n -83.583984375,\n 44.29240108529005\n ],\n [\n -83.671875,\n 44.04811573082351\n ],\n [\n -83.880615234375,\n 44.000717834282774\n ],\n [\n -84.00146484374999,\n 43.77902662160831\n ],\n [\n -83.95751953125,\n 43.6599240747891\n ],\n [\n -83.660888671875,\n 43.56447158721811\n ],\n [\n -83.22143554687499,\n 43.94537239244209\n ],\n [\n -82.913818359375,\n 44.02442151965934\n ],\n [\n -82.781982421875,\n 43.96119063892024\n ],\n [\n -82.540283203125,\n 43.11702412135048\n ],\n [\n -82.408447265625,\n 42.97250158602597\n ],\n [\n -81.9140625,\n 43.13306116240612\n ],\n [\n -81.67236328125,\n 43.46886761482925\n ],\n [\n -81.727294921875,\n 44.040218713142146\n ],\n [\n -81.595458984375,\n 44.268804788566165\n ],\n [\n -81.221923828125,\n 44.62175409623324\n ],\n [\n -81.45263671875,\n 45.182036837015886\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.20947265625,\n 41.623655390686395\n ],\n [\n -86.220703125,\n 42.21224516288584\n ],\n [\n -86.15478515625,\n 42.956422511073335\n ],\n [\n -86.46240234375,\n 43.691707903073805\n ],\n [\n -85.97900390625,\n 44.84029065139799\n ],\n [\n -85.62744140625,\n 45.02695045318546\n ],\n [\n -85.517578125,\n 44.69989765840318\n ],\n [\n -85.0341796875,\n 44.98034238084973\n ],\n [\n -85.25390625,\n 45.259422036351694\n ],\n [\n -84.83642578125,\n 45.42929873257377\n ],\n [\n -85.10009765625,\n 45.55252525134013\n ],\n [\n -84.79248046875,\n 45.79816953017265\n ],\n [\n -84.7705078125,\n 46.01222384063236\n ],\n [\n -85.49560546875,\n 46.14939437647686\n ],\n [\n -86.24267578125,\n 45.99696161820381\n ],\n [\n -86.50634765625,\n 45.81348649679973\n ],\n [\n -86.59423828125,\n 45.920587344733654\n ],\n [\n -86.85791015625,\n 45.81348649679973\n ],\n [\n -87.0556640625,\n 45.84410779560204\n ],\n [\n -87.29736328125,\n 45.61403741135093\n ],\n [\n -88.08837890625,\n 44.653024159812\n ],\n [\n -87.978515625,\n 44.465151013519616\n ],\n [\n -87.5830078125,\n 44.715513732021336\n ],\n [\n -87.12158203125,\n 45.1510532655634\n ],\n [\n -87.5390625,\n 44.5278427984555\n ],\n [\n -87.78076171875,\n 43.8186748554532\n ],\n [\n -88.00048828124999,\n 42.924251753870685\n ],\n [\n -87.82470703125,\n 42.00032514831621\n ],\n [\n -87.20947265625,\n 41.623655390686395\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.22119140625,\n 46.5739667965278\n ],\n [\n -84.39697265625,\n 46.694667307773116\n ],\n [\n -84.287109375,\n 46.9052455464292\n ],\n [\n -84.70458984375,\n 47.025206001585396\n ],\n [\n -84.52880859375,\n 47.27922900257082\n ],\n [\n -84.88037109375,\n 47.62097541515849\n ],\n [\n -84.79248046875,\n 48.004625021133904\n ],\n [\n -85.8251953125,\n 48.019324184801185\n ],\n [\n -86.5283203125,\n 48.80686346108517\n ],\n [\n -88.154296875,\n 49.03786794532644\n ],\n [\n -88.5498046875,\n 48.879167148960214\n ],\n [\n -88.79150390625,\n 48.531157010976706\n ],\n [\n -89.20898437499999,\n 48.61838518688487\n ],\n [\n -89.4287109375,\n 48.16608541901253\n ],\n [\n -90.59326171875,\n 47.76886840424207\n ],\n [\n -92.21923828124999,\n 46.73986059969267\n ],\n [\n -91.845703125,\n 46.604167162931844\n ],\n [\n -90.9228515625,\n 46.89023157359399\n ],\n [\n -91.0546875,\n 46.5739667965278\n ],\n [\n -90.72509765625,\n 46.558860303117164\n ],\n [\n -90.3076171875,\n 46.51351558059737\n ],\n [\n -89.80224609374999,\n 46.70973594407157\n ],\n [\n -89.18701171875,\n 46.830133640447386\n ],\n [\n -88.65966796875,\n 47.12995075666307\n ],\n [\n -87.91259765625,\n 47.41322033016902\n ],\n [\n -88.2861328125,\n 47.204642388766935\n ],\n [\n -88.52783203125,\n 46.89023157359399\n ],\n [\n -88.4619140625,\n 46.70973594407157\n ],\n [\n -88.13232421875,\n 46.81509864599243\n ],\n [\n -87.69287109375,\n 46.649436163350245\n ],\n [\n -87.34130859375,\n 46.42271253466717\n ],\n [\n -87.0556640625,\n 46.49839225859763\n ],\n [\n -86.81396484375,\n 46.37725420510028\n ],\n [\n -86.59423828125,\n 46.37725420510028\n ],\n [\n -86.17675781249999,\n 46.58906908309182\n ],\n [\n -85.6494140625,\n 46.604167162931844\n ],\n [\n -85.166015625,\n 46.7549166192819\n ],\n [\n -85.10009765625,\n 46.46813299215554\n ],\n [\n -84.79248046875,\n 46.37725420510028\n ],\n [\n -84.22119140625,\n 46.5739667965278\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f428e4b0bc0bec0a0dfd","contributors":{"editors":[{"text":"Taylor, William W.","contributorId":49735,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[],"preferred":false,"id":568902,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Lynch, Abigail J. 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":5645,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":568903,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Leonard, Nancy J.","contributorId":107528,"corporation":false,"usgs":false,"family":"Leonard","given":"Nancy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":568904,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"O’Gorman, Robert rogorman@usgs.gov","contributorId":3451,"corporation":false,"usgs":true,"family":"O’Gorman","given":"Robert","email":"rogorman@usgs.gov","affiliations":[],"preferred":true,"id":568897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":568898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseman, Edward F. eroseman@usgs.gov","contributorId":534,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","email":"eroseman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":568899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Andrew","contributorId":146761,"corporation":false,"usgs":false,"family":"Cook","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":568900,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gorman, Owen T. 0000-0003-0451-110X otgorman@usgs.gov","orcid":"https://orcid.org/0000-0003-0451-110X","contributorId":2888,"corporation":false,"usgs":true,"family":"Gorman","given":"Owen","email":"otgorman@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":568901,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70045889,"text":"70045889 - 2012 - Biomedical health assessments of the Florida manatee in Crystal River - providing opportunities for training during the capture, handling, and processing of this endangered aquatic mammal","interactions":[],"lastModifiedDate":"2013-05-09T08:58:00","indexId":"70045889","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2376,"text":"Journal of Marine Animals and Their Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Biomedical health assessments of the Florida manatee in Crystal River - providing opportunities for training during the capture, handling, and processing of this endangered aquatic mammal","docAbstract":"Federal and state researchers have been involved in manatee (Trichechus manatus) biomedical health assessment programs for a couple of decades. These benchmark studies have provided a foundation for the development of consistent capture, handling, and processing techniques and protocols. Biologists have implemented training and encouraged multi-agency participation whenever possible to ensure reliable data acquisition, recording, sample collection, publication integrity, and meeting rigorous archival standards. Under a U.S. Fish and Wildlife Service wildlife research permit granted to the U.S. Geological Survey (USGS) Sirenia Project, federal biologists and collaborators are allowed to conduct research studies on wild and captive manatees detailing various \naspects of their biology. Therefore, researchers with the project have been collaborating on numerous studies over the last several years. One extensive study, initiated in 2006 has focused on health and fitness of the winter manatee population located in Crystal River, Florida. During those health assessments, capture, handling, and work-up training has been afforded to many of the participants. That study has successfully captured and handled 123 manatees. The data \ngathered have provided baseline information on manatee health, reproductive status, and nutritional condition. This research initiative addresses concerns and priorities outlined in the Florida Manatee Recovery Plan. The assessment teams strive to continue this collaborative effort to help advance our understanding of health-related issues confronting manatees throughout their range and interlacing these findings with surrogate species concepts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Marine Animals and Their Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Oceanographic Environmental Research Society","usgsCitation":"Bonde, R.K., Garrett, A., Belanger, M., Askin, N., Tan, L., and Wittnich, C., 2012, Biomedical health assessments of the Florida manatee in Crystal River - providing opportunities for training during the capture, handling, and processing of this endangered aquatic mammal: Journal of Marine Animals and Their Ecology, v. 5, no. 2, p. 17-28.","productDescription":"12 p.","startPage":"17","endPage":"28","ipdsId":"IP-042685","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":272117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272116,"type":{"id":11,"text":"Document"},"url":"https://www.oers.ca/journal/volume5/issue2/techniques-vol5-iss2.pdf"}],"country":"United States","state":"Florida","otherGeospatial":"Crystal River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.65,28.87 ], [ -82.65,28.92 ], [ -82.56,28.92 ], [ -82.56,28.87 ], [ -82.65,28.87 ] ] ] } } ] }","volume":"5","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518cc55fe4b05ebc8f7cc0fc","contributors":{"authors":[{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":478484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garrett, Andrew","contributorId":98197,"corporation":false,"usgs":true,"family":"Garrett","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":478489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belanger, Michael","contributorId":33602,"corporation":false,"usgs":true,"family":"Belanger","given":"Michael","email":"","affiliations":[],"preferred":false,"id":478487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Askin, Nesime","contributorId":15095,"corporation":false,"usgs":true,"family":"Askin","given":"Nesime","email":"","affiliations":[],"preferred":false,"id":478485,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tan, Luke","contributorId":79779,"corporation":false,"usgs":true,"family":"Tan","given":"Luke","email":"","affiliations":[],"preferred":false,"id":478488,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wittnich, Carin","contributorId":20235,"corporation":false,"usgs":true,"family":"Wittnich","given":"Carin","email":"","affiliations":[],"preferred":false,"id":478486,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70043592,"text":"70043592 - 2012 - Application of Wind Fetch and Wave Models for Habitat Rehabilitation and Enhancement Projects","interactions":[],"lastModifiedDate":"2013-02-23T09:37:56","indexId":"70043592","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Application of Wind Fetch and Wave Models for Habitat Rehabilitation and Enhancement Projects","docAbstract":"Models based upon coastal engineering equations have been developed to quantify wind fetch length and several physical wave characteristics including significant height, length, peak period, maximum orbital velocity, and shear stress. These models were used to quantify differences in proposed island construction designs for three Habitat Rehabilitation and Enhancement Projects (HREPs) in the U.S. Army Corps of Engineers St. Paul District (Capoli Slough and Harpers Slough) and St. Louis District (Swan Lake). Weighted wind fetch was calculated using land cover data supplied by the Long Term Resource Monitoring Program (LTRMP) for each island design scenario for all three HREPs. Figures and graphs were created to depict the results of this analysis. The difference in weighted wind fetch from existing conditions to each potential future island design was calculated for Capoli and Harpers Slough HREPs. A simplistic method for calculating sediment suspension probability was also applied to the HREPs in the St. Paul District. This analysis involved determining the percentage of days that maximum orbital wave velocity calculated over the growing seasons of 2002–2007 exceeded a threshold value taken from the literature where fine unconsolidated sediments may become suspended. This analysis also evaluated the difference in sediment suspension probability from existing conditions to the potential island designs. Bathymetric data used in the analysis were collected from the LTRMP and wind direction and magnitude data were collected from the National Oceanic and Atmospheric Administration, National Climatic Data Center. These models are scheduled to be updated to operate using the most current Environmental Systems Research Institute ArcGIS Geographic Information System platform, and have several improvements implemented to wave calculations, data processing, and functions of the toolbox.","largerWorkTitle":"Annual Meeting of the American Fisheries Society","language":"English","publisher":"American Fisheries Society","usgsCitation":"Rohweder, J.J., Rogala, J.T., Johnson, B.L., Anderson, D., Clark, S., and Chamberlin, F., 2012, Application of Wind Fetch and Wave Models for Habitat Rehabilitation and Enhancement Projects, in Annual Meeting of the American Fisheries Society.","ipdsId":"IP-042647","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":268006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268005,"type":{"id":11,"text":"Document"},"url":"https://afs.confex.com/afs/2012/webprogram/Paper10406.html"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5129f30ee4b04edf7e93f84b","contributors":{"authors":[{"text":"Rohweder, Jason J. jrohweder@usgs.gov","contributorId":460,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason","email":"jrohweder@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":473916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogala, James T. 0000-0002-1954-4097 jrogala@usgs.gov","orcid":"https://orcid.org/0000-0002-1954-4097","contributorId":2651,"corporation":false,"usgs":true,"family":"Rogala","given":"James","email":"jrogala@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":473918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Barry L. bljohnson@usgs.gov","contributorId":608,"corporation":false,"usgs":true,"family":"Johnson","given":"Barry","email":"bljohnson@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":473917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Dennis","contributorId":96793,"corporation":false,"usgs":true,"family":"Anderson","given":"Dennis","email":"","affiliations":[],"preferred":false,"id":473921,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Steve","contributorId":92769,"corporation":false,"usgs":true,"family":"Clark","given":"Steve","email":"","affiliations":[],"preferred":false,"id":473920,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chamberlin, Ferris","contributorId":32635,"corporation":false,"usgs":true,"family":"Chamberlin","given":"Ferris","email":"","affiliations":[],"preferred":false,"id":473919,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70045239,"text":"70045239 - 2012 - The past as prelude to the future for understanding 21st-century climate effects on Rocky Mountain Trout","interactions":[],"lastModifiedDate":"2013-04-25T11:19:04","indexId":"70045239","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"The past as prelude to the future for understanding 21st-century climate effects on Rocky Mountain Trout","docAbstract":"Bioclimatic models predict large reductions in native trout across the Rocky Mountains in the 21st century but lack details about how changes will occur. Through five case histories across the region, we explore how a changing climate has been affecting streams and the potential consequences for trout. Monitoring records show trends in temperature and hydrographs consistent with a warming climate in recent decades. Biological implications include upstream shifts in thermal habitats, risk of egg scour, increased wildfire disturbances, and declining summer habitat volumes. The importance of these factors depends on the context, but temperature increases are most relevant where population boundaries are mediated by thermal constraints. Summer flow declines and wildfires will be important where trout populations are fragmented and constrained to small refugia. A critical information gap is evidence documenting how populations are adjusting to long-term habitat trends, so biological monitoring is a priority. Biological, temperature, and discharge data from monitoring networks could be used to develop accurate vulnerability assessments that provide information regarding where conservation actions would best improve population resilience. Even with better information, future uncertainties will remain large due to unknowns regarding Earth's ultimate warming trajectory and how effects translate across scales. Maintaining or increasing the size of habitats could provide a buffer against these uncertainties.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fisheries","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/03632415.2012.742808","usgsCitation":"Isaak, D.J., Muhlfeld, C.C., Todd, A., Al-chokhachy, R., Roberts, J., Kershner, J.L., Fausch, K., and Hostetler, S.W., 2012, The past as prelude to the future for understanding 21st-century climate effects on Rocky Mountain Trout: Fisheries, v. 37, no. 12, p. 542-556, https://doi.org/10.1080/03632415.2012.742808.","productDescription":"15 p.","startPage":"542","endPage":"556","numberOfPages":"15","ipdsId":"IP-036943","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":271460,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/03632415.2012.742808"},{"id":271461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.43,33.09 ], [ -123.43,49.46 ], [ -103.25,49.46 ], [ -103.25,33.09 ], [ -123.43,33.09 ] ] ] } } ] }","volume":"37","issue":"12","noUsgsAuthors":false,"publicationDate":"2012-12-11","publicationStatus":"PW","scienceBaseUri":"517a506ee4b072c16ef14b61","contributors":{"authors":[{"text":"Isaak, Daniel J.","contributorId":57202,"corporation":false,"usgs":true,"family":"Isaak","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":477109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":477104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Todd, Andrew S.","contributorId":33162,"corporation":false,"usgs":true,"family":"Todd","given":"Andrew S.","affiliations":[],"preferred":false,"id":477108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Al-chokhachy, Robert","contributorId":90194,"corporation":false,"usgs":true,"family":"Al-chokhachy","given":"Robert","affiliations":[],"preferred":false,"id":477110,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roberts, James","contributorId":17509,"corporation":false,"usgs":true,"family":"Roberts","given":"James","affiliations":[],"preferred":false,"id":477106,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kershner, Jeffrey L. 0000-0002-7093-9860 jkershner@usgs.gov","orcid":"https://orcid.org/0000-0002-7093-9860","contributorId":310,"corporation":false,"usgs":true,"family":"Kershner","given":"Jeffrey","email":"jkershner@usgs.gov","middleInitial":"L.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":477103,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fausch, Kurt D. 0000-0001-5825-7560","orcid":"https://orcid.org/0000-0001-5825-7560","contributorId":29370,"corporation":false,"usgs":false,"family":"Fausch","given":"Kurt D.","affiliations":[],"preferred":false,"id":477107,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":477105,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70042663,"text":"70042663 - 2012 - Individual condition and stream temperature influence early maturation of rainbow and steelhead trout, ncorhynchus mykiss","interactions":[],"lastModifiedDate":"2017-02-21T14:38:38","indexId":"70042663","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Individual condition and stream temperature influence early maturation of rainbow and steelhead trout, ncorhynchus mykiss","docAbstract":"Alternative male phenotypes in salmonine fishes arise from individuals that mature as larger and older anadromous marine-migrants or as smaller and younger freshwater residents. To better understand the processes influencing the expression of these phenotypes we examined the influences of growth in length (fork length) and whole body lipid content in rainbow trout (Oncorhynchus mykiss). Fish were sampled from the John Day River basin in northeast Oregon where both anadromous (\"steelhead\") and freshwater resident rainbow trout coexist. Larger males with higher lipid levels had a greater probability of maturing as a resident at age-1+. Among males, 38% were maturing overall, and the odds ratios of the logistic model indicated that the probability of a male maturing early as a resident at age-1+ increased 49% (95% confidence interval (CI) = 23-81%) for every 5 mm increase in length and 33% (95% CI = 10-61%) for every 0.5% increase in whole body lipid content. There was an inverse association between individual condition and water temperature as growth was greater in warmer streams while whole body lipid content was higher in cooler streams. Our results support predictions from life history theory and further suggest that relationships between individual condition, maturation, and environmental variables (e.g., water temperature) are shaped by complex developmental and evolutionary influences.
","language":"English","publisher":"Springer","doi":"10.1007/s10641-011-9921-0","usgsCitation":"McMillan, J.R., Dunham, J., Reeves, G.H., Mills, J.S., and Jordan, C.E., 2012, Individual condition and stream temperature influence early maturation of rainbow and steelhead trout, ncorhynchus mykiss: Environmental Biology of Fishes, v. 93, no. 3, p. 343-355, https://doi.org/10.1007/s10641-011-9921-0.","productDescription":"13 p.","startPage":"343","endPage":"355","ipdsId":"IP-034205","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":267975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"John Day River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.78369140624999,\n 43.644025847699496\n ],\n [\n -117.80639648437499,\n 43.644025847699496\n ],\n [\n -117.80639648437499,\n 45.71385093029221\n ],\n [\n -120.78369140624999,\n 45.71385093029221\n ],\n [\n -120.78369140624999,\n 43.644025847699496\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"93","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-09-07","publicationStatus":"PW","scienceBaseUri":"5129f32de4b04edf7e93f8e8","contributors":{"authors":[{"text":"McMillan, John R.","contributorId":27905,"corporation":false,"usgs":true,"family":"McMillan","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":472020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":1808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","email":"jdunham@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":472023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeves, Gordon H.","contributorId":101521,"corporation":false,"usgs":false,"family":"Reeves","given":"Gordon","email":"","middleInitial":"H.","affiliations":[{"id":527,"text":"Pacific Northwest Research Station","active":false,"usgs":true}],"preferred":false,"id":472021,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mills, Justin S.","contributorId":56944,"corporation":false,"usgs":true,"family":"Mills","given":"Justin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":472019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jordan, Chris E.","contributorId":88233,"corporation":false,"usgs":true,"family":"Jordan","given":"Chris","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":472022,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70042656,"text":"pp1794A27 - 2012 - Chihuahuan Deserts Ecoregion: Chapter 27 in Status and trends of land change in the Western United States--1973 to 2000","interactions":[],"lastModifiedDate":"2017-05-18T12:41:47","indexId":"pp1794A27","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1794-A-27","title":"Chihuahuan Deserts Ecoregion: Chapter 27 in Status and trends of land change in the Western United States--1973 to 2000","docAbstract":"The Chihuahuan Desert is the largest of the North American deserts, extending from southern New Mexico and Texas deep into Mexico, with approximately 90 percent of its area falling south of the United States–Mexico border (Lowe, 1964, p. 24). The Chihuahuan Deserts Ecoregion covers approximately 174,472 km2 (67,364 mi2) within the United States, including much of west Texas, southern New Mexico, and a small portion of southeastern Arizona (Omernik, 1987; U.S. Environmental Protection Agency, 1997). The ecoregion is generally oriented from northwest to southeast, with the Madrean Archipelago Ecoregion to the west; the Arizona/New Mexico Mountains, Arizona/New Mexico Plateau, Southwestern Tablelands, and Western High Plains Ecoregions to the north; and the Edwards Plateau and Southern Texas Plains Ecoregions to the east (fig. 1).","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Status and trends of land change in the Western United States--1973 to 2000: Volume A in Status and trends of land change in the United States--1973 to 2000 (PP 1794-A)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1794A27","collaboration":"This publication is Chapter 27 in Status and trends of land change in the Western United States--1973 to 2000, which is Volume A in Status and trends of land change in the United States--1973 to 2000, PP 1794. Volume A consists of 30 chapters. For access to other chapters, please visit PP 1794-A.","usgsCitation":"Ruhlman, J., Gass, L., and Middleton, B., 2012, Chihuahuan Deserts Ecoregion: Chapter 27 in Status and trends of land change in the Western United States--1973 to 2000: U.S. Geological Survey Professional Paper 1794-A-27, Chapter 27: 10 p., https://doi.org/10.3133/pp1794A27.","productDescription":"Chapter 27: 10 p.","startPage":"275","endPage":"284","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":265755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1794_A_27.jpg"},{"id":265754,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/pp/1794/a/chapters/"},{"id":265752,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1794/a/"},{"id":265753,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1794/a/chapters/pp1794a_chapter27.pdf"}],"country":"Mexico;United States","state":"Arizona;New Mexico;Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.5,29.0 ], [ -109.5,34.5 ], [ -100.25,34.5 ], [ -100.25,29.0 ], [ -109.5,29.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f7da0be4b0faa3ef21ebbe","contributors":{"authors":[{"text":"Ruhlman, Jana","contributorId":93013,"corporation":false,"usgs":true,"family":"Ruhlman","given":"Jana","email":"","affiliations":[],"preferred":false,"id":472011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gass, Leila 0000-0002-3436-262X lgass@usgs.gov","orcid":"https://orcid.org/0000-0002-3436-262X","contributorId":3770,"corporation":false,"usgs":true,"family":"Gass","given":"Leila","email":"lgass@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":472009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Middleton, Barry","contributorId":38119,"corporation":false,"usgs":true,"family":"Middleton","given":"Barry","affiliations":[],"preferred":false,"id":472010,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041528,"text":"pp1794A4 - 2012 - Canadian Rockies Ecoregion: Chapter 4 in Status and trends of land change in the Western United States--1973 to 2000","interactions":[],"lastModifiedDate":"2013-02-01T11:05:07","indexId":"pp1794A4","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1794-A-4","title":"Canadian Rockies Ecoregion: Chapter 4 in Status and trends of land change in the Western United States--1973 to 2000","docAbstract":"The Canadian Rockies Ecoregion covers approximately 18,494 km2 (7,141 mi2) in northwestern Montana (Omernik, 1987; U.S. Environmental Protection Agency, 1997). The east side of the ecoregion is bordered by the Montana Valley and Foothill Prairies Ecoregion, which also forms a large part of the western border of the ecoregion. In addition, the Northern Rockies Ecoregion wraps around the ecoregion to the northwest and south (fig. 1). As the name implies, the Canadian Rocky Mountains are located mostly in Canada, straddling the border between Alberta and British Columbia. However, this ecoregion only includes the part of the northern Rocky Mountains that is in the United States. This ecoregion is characterized by steep, high-elevation mountain ranges similar to most of the rest of the Rocky Mountains. Compared to the Northern Rockies Ecoregion, however, the Canadian Rockies Ecoregion reaches higher elevations and contains a greater proportion of perennial snow and ice (Omernik, 1987) (fig. 2). Over the years, this section of the Rocky Mountains has garnered many different names, including “Crown of the Continent” by George Bird Grinnell (Waldt, 2008) and “Backbone of the World” by the Blackfeet (Pikuni) Nation. Throughout the ecoregion, montane, subalpine, and alpine ecosystems have distinct flora and fauna elevation zones. Glaciers, permanent snowfields, and seasonal snowpack are found at the highest elevations. Spring and summer runoff fills lakes and tarns that form the headwaters of numerous streams and rivers, including the Columbia and Missouri Rivers that flow west and east, respectively, from the Continental Divide.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Status and trends of land change in the Western United States--1973 to 2000: Volume A in Status and trends of land change in the United States--1973 to 2000 (PP 1794-A)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1794A4","collaboration":"This publication is Chapter 3 in Status and trends of land change in the Western United States--1973 to 2000, which is Volume A in Status and trends of land change in the United States--1973 to 2000, PP 1794. Volume A consists of 30 chapters. For access to other chapters, please visit PP 1794-A.","usgsCitation":"Taylor, J., 2012, Canadian Rockies Ecoregion: Chapter 4 in Status and trends of land change in the Western United States--1973 to 2000: U.S. Geological Survey Professional Paper 1794-A-4, Chapter 4: 8 p., https://doi.org/10.3133/pp1794A4.","productDescription":"Chapter 4: 8 p.","startPage":"61","endPage":"68","additionalOnlineFiles":"Y","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":263832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1794_A_4.jpg"},{"id":263831,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/pp/1794/a/chapters/"},{"id":263829,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1794/a/"},{"id":263830,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1794/a/chapters/pp1794a_chapter04.pdf"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park;Canadian Rockies","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.0,47.0 ], [ -115.0,49.0 ], [ -112.25,49.0 ], [ -112.25,47.0 ], [ -115.0,47.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c31e08e4b0b57f2415d1ba","contributors":{"authors":[{"text":"Taylor, Janis L. 0000-0002-9418-5215","orcid":"https://orcid.org/0000-0002-9418-5215","contributorId":33409,"corporation":false,"usgs":true,"family":"Taylor","given":"Janis L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":469906,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}