The eruption cycle of a volcano is controlled in part by the upward migration of magma. The characteristics of the magma flux produce a deformation signature at the Earth's surface. Inverse analyses use geodetic data to estimate strategic controlling parameters that describe the position and pressurization of a magma chamber at depth. The specific distribution of material properties controls how observed surface deformation translates to source parameter estimates. Seismic tomography models describe the spatial distributions of material properties that are necessary for accurate models of volcano deformation. This study investigates how uncertainties in seismic tomography models propagate into variations in the estimates of volcano deformation source parameters inverted from geodetic data. We conduct finite element model-based nonlinear inverse analyses of interferometric synthetic aperture radar (InSAR) data for Okmok volcano, Alaska, as an example. We then analyze the estimated parameters and their uncertainties to characterize the magma chamber. Analyses are performed separately for models simulating a pressurized chamber embedded in a homogeneous domain as well as for a domain having a heterogeneous distribution of material properties according to seismic tomography. The estimated depth of the source is sensitive to the distribution of material properties. The estimated depths for the homogeneous and heterogeneous domains are 2666 ± 42 and 3527 ± 56 m below mean sea level, respectively (99% confidence). A Monte Carlo analysis indicates that uncertainties of the seismic tomography cannot account for this discrepancy at the 99% confidence level. Accounting for the spatial distribution of elastic properties according to seismic tomography significantly improves the fit of the deformation model predictions and significantly influences estimates for parameters that describe the location of a pressurized magma chamber.
","language":"English","publisher":"AGU","doi":"10.1002/2015JB012656","usgsCitation":"Masterlark, T., Donovan, T., Feigl, K.L., Haney, M.M., Thurber, C.H., and Tung, S., 2016, Volcano deformation source parameters estimated from InSAR: Sensitivities to uncertainties in seismic tomography: Journal of Geophysical Research B: Solid Earth, v. 121, no. 4, p. 3002-3016, https://doi.org/10.1002/2015JB012656.","productDescription":"15 p.","startPage":"3002","endPage":"3016","ipdsId":"IP-070835","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471103,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015jb012656","text":"Publisher Index Page"},{"id":348198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-15","publicationStatus":"PW","scienceBaseUri":"5a003152e4b0531197b5a754","contributors":{"authors":[{"text":"Masterlark, Timothy","contributorId":92829,"corporation":false,"usgs":false,"family":"Masterlark","given":"Timothy","email":"","affiliations":[{"id":35607,"text":"South Dakota School of Mines","active":true,"usgs":false}],"preferred":false,"id":720036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, Theodore","contributorId":199783,"corporation":false,"usgs":false,"family":"Donovan","given":"Theodore","email":"","affiliations":[{"id":35607,"text":"South Dakota School of Mines","active":true,"usgs":false}],"preferred":false,"id":720037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feigl, Kurt L.","contributorId":147758,"corporation":false,"usgs":false,"family":"Feigl","given":"Kurt","email":"","middleInitial":"L.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":720038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":720035,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thurber, Clifford H. 0000-0002-4940-4618","orcid":"https://orcid.org/0000-0002-4940-4618","contributorId":73184,"corporation":false,"usgs":false,"family":"Thurber","given":"Clifford","email":"","middleInitial":"H.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":720039,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tung, Sui","contributorId":199785,"corporation":false,"usgs":false,"family":"Tung","given":"Sui","email":"","affiliations":[{"id":35607,"text":"South Dakota School of Mines","active":true,"usgs":false}],"preferred":false,"id":720040,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70168634,"text":"70168634 - 2016 - Increasing influence of air temperature on upper Colorado River streamflow","interactions":[],"lastModifiedDate":"2018-04-03T11:23:43","indexId":"70168634","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Increasing influence of air temperature on upper Colorado River streamflow","docAbstract":"This empirical study examines the influence of precipitation, temperature, and antecedent soil moisture on upper Colorado River basin (UCRB) water year streamflow over the past century. While cool season precipitation explains most of the variability in annual flows, temperature appears to be highly influential under certain conditions, with the role of antecedent fall soil moisture less clear. In both wet and dry years, when flow is substantially different than expected given precipitation, these factors can modulate the dominant precipitation influence on streamflow. Different combinations of temperature, precipitation, and soil moisture can result in flow deficits of similar magnitude, but recent droughts have been amplified by warmer temperatures that exacerbate the effects of relatively modest precipitation deficits. Since 1988, a marked increase in the frequency of warm years with lower flows than expected, given precipitation, suggests continued warming temperatures will be an increasingly important influence in reducing future UCRB water supplies.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015GL067613","usgsCitation":"Woodhouse, C.A., Pederson, G.T., Morino, K., McAfee, S., and McCabe, G., 2016, Increasing influence of air temperature on upper Colorado River streamflow: Geophysical Research Letters, v. 43, no. 5, p. 2174-2181, https://doi.org/10.1002/2015GL067613.","productDescription":"8 p.","startPage":"2174","endPage":"2181","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069464","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":471106,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl067613","text":"Publisher Index Page"},{"id":322023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-09","publicationStatus":"PW","scienceBaseUri":"57500767e4b0ee97d51bb659","contributors":{"authors":[{"text":"Woodhouse, Connie A.","contributorId":187601,"corporation":false,"usgs":false,"family":"Woodhouse","given":"Connie","email":"","middleInitial":"A.","affiliations":[{"id":32413,"text":"University of Arizona, Tucson, AZ, USA, 85721","active":true,"usgs":false}],"preferred":false,"id":621077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":621076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morino, Kiyomi","contributorId":78210,"corporation":false,"usgs":true,"family":"Morino","given":"Kiyomi","email":"","affiliations":[],"preferred":false,"id":621078,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McAfee, Stephanie A.","contributorId":167115,"corporation":false,"usgs":false,"family":"McAfee","given":"Stephanie A.","affiliations":[{"id":24618,"text":"Department of Geography, University of Nevada, Reno, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":621079,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":167116,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory J.","email":"gmccabe@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":621080,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70169003,"text":"70169003 - 2016 - Low soil moisture during hot periods drives apparent negative temperature sensitivity of soil respiration in a dryland ecosystem: A multi-model comparison","interactions":[],"lastModifiedDate":"2020-12-17T19:08:24.558711","indexId":"70169003","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Low soil moisture during hot periods drives apparent negative temperature sensitivity of soil respiration in a dryland ecosystem: A multi-model comparison","docAbstract":"Arid and semiarid ecosystems (drylands) may dominate the trajectory of biosphere-to-atmosphere carbon (C) exchange, and understanding dryland CO2 efflux is important for C cycling at the global-scale. However, unknowns remain regarding how temperature and moisture interact to regulate dryland soil respiration (R s ), while ‘islands of fertility’ in drylands create spatially heterogeneous R s . At a site in southeastern Utah, USA we added or removed litter (0–650 % of control) in plots associated with either shrubs or biological soil crust-dominated interspaces between vascular plants. We measured R s , soil temperature (Ts), and water content (θ) repeatedly from October 2013 to November 2014. R s was highest following rain in late summer at Ts ~30 °C, and lowest mid-summer at Ts > 40 °C, resulting in apparent negative temperature sensitivity of R s at high temperatures, and positive temperature sensitivity at low-moderate temperatures. We used Bayesian statistical methods to compare models capturing a range of hypothesized relationships between Ts, θ, and R s . The best model indicates that apparent negative temperature sensitivity of R s at high Ts reflects the control of water content, not high temperatures. Modeled Q10 ranged from 2.7 to 1.4 between 5 and 45 °C. Litter addition had no effect on Q10 or reference respiration (R ref = R s at 20 °C and optimum θ) beneath shrubs, and little effect on R ref in interspaces, yet R ref was 1.5 times higher beneath shrubs than in interspaces. Altogether, these results suggest reduced R s often observed at high Ts in drylands is dominated by the control of θ, and, on shorter-timescales, variable litter inputs exert minimal control over R s .
","language":"English","publisher":"Springer","doi":"10.1007/s10533-016-0200-1","usgsCitation":"Tucker, C., and Reed, S.C., 2016, Low soil moisture during hot periods drives apparent negative temperature sensitivity of soil respiration in a dryland ecosystem: A multi-model comparison: Biogeochemistry, v. 128, no. 1, p. 155-169, https://doi.org/10.1007/s10533-016-0200-1.","productDescription":"15 p.","startPage":"155","endPage":"169","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070711","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":322026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"128","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-02","publicationStatus":"PW","scienceBaseUri":"57500769e4b0ee97d51bb679","contributors":{"authors":[{"text":"Tucker, Colin 0000-0002-4539-7780 ctucker@usgs.gov","orcid":"https://orcid.org/0000-0002-4539-7780","contributorId":167487,"corporation":false,"usgs":true,"family":"Tucker","given":"Colin","email":"ctucker@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":622468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":622469,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70177888,"text":"70177888 - 2016 - Effects of urban land-use on largescale stonerollers in the Mobile River Basin, Birmingham, AL","interactions":[],"lastModifiedDate":"2016-10-26T14:27:33","indexId":"70177888","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of urban land-use on largescale stonerollers in the Mobile River Basin, Birmingham, AL","docAbstract":"During the spring and fall of 2001 and the spring of 2002 a study was conducted to evaluate the health of the largescale stoneroller (Campostoma oligolepis) populations in streams along an urban land-use gradient. Sites were selected from a pool of naturally similar sub-basins (eco-region, basin size, and geology) of the Mobile River basin (MRB), using an index of urban intensity derived from infrastructure, socioeconomic, and land-use data. This urban land-use gradient (ULUG) is a multimetric indicator of urban intensity, ranging from 0 (background) to 100 (intense urbanization). Campostoma sp. have been used previously as indicators of stream health and are common species found in all sites within the MRB. Endpoints used to determine the effects of urban land-use on the largescale stoneroller included total glutathione, histology, hepatic apoptosis, condition factor and external lesions. Liver glutathione levels were positively associated with increasing urban land-use (r2 = 0.94). Histopathological examination determined that some abnormalities and lesions were correlated with the ULUG and generally increased in prevalence or severity with increasing urbanization. Liver macrophage aggregates were positively correlated to the ULUG. The occurrence of nucleosomal ladders (indicating apoptotic cell death) did not correspond with urban intensity in a linear fashion. Apoptosis, as well as prevalence and severity of a myxozoan parasite, appeared to have a hormetic dose–response relationship. The majority of the biomarkers suggested fish health was compromised in areas where the ULUG ≥ 36.
","language":"English","publisher":"Springer","doi":"10.1007/s10646-016-1620-3","usgsCitation":"Iwanowicz, D.D., Black, M., Blazer, V., Zappia, H., and Bryant, W., 2016, Effects of urban land-use on largescale stonerollers in the Mobile River Basin, Birmingham, AL: Ecotoxicology, v. 25, no. 3, p. 608-621, https://doi.org/10.1007/s10646-016-1620-3.","productDescription":"14 p.","startPage":"608","endPage":"621","ipdsId":"IP-052558","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":330425,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Mobile River Basin","volume":"25","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-18","publicationStatus":"PW","scienceBaseUri":"5811c0f2e4b0f497e79a5a75","contributors":{"authors":[{"text":"Iwanowicz, Deborah D. 0000-0002-9613-8594 diwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-9613-8594","contributorId":2253,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Deborah","email":"diwanowicz@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":652031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Black, M.C.","contributorId":89091,"corporation":false,"usgs":true,"family":"Black","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":652032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":652033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zappia, H.","contributorId":94474,"corporation":false,"usgs":true,"family":"Zappia","given":"H.","affiliations":[],"preferred":false,"id":652034,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bryant, Wade L. Jr. wbbryant@usgs.gov","contributorId":1777,"corporation":false,"usgs":true,"family":"Bryant","given":"Wade L.","suffix":"Jr.","email":"wbbryant@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":652035,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173645,"text":"70173645 - 2016 - Population size and stopover duration estimation using mark–resight data and Bayesian analysis of a superpopulation model","interactions":[],"lastModifiedDate":"2023-03-30T15:33:58.035111","indexId":"70173645","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1039,"text":"Biometrics","active":true,"publicationSubtype":{"id":10}},"title":"Population size and stopover duration estimation using mark–resight data and Bayesian analysis of a superpopulation model","docAbstract":"We present a novel formulation of a mark–recapture–resight model that allows estimation of population size, stopover duration, and arrival and departure schedules at migration areas. Estimation is based on encounter histories of uniquely marked individuals and relative counts of marked and unmarked animals. We use a Bayesian analysis of a state–space formulation of the Jolly–Seber mark–recapture model, integrated with a binomial model for counts of unmarked animals, to derive estimates of population size and arrival and departure probabilities. We also provide a novel estimator for stopover duration that is derived from the latent state variable representing the interim between arrival and departure in the state–space model. We conduct a simulation study of field sampling protocols to understand the impact of superpopulation size, proportion marked, and number of animals sampled on bias and precision of estimates. Simulation results indicate that relative bias of estimates of the proportion of the population with marks was low for all sampling scenarios and never exceeded 2%. Our approach does not require enumeration of all unmarked animals detected or direct knowledge of the number of marked animals in the population at the time of the study. This provides flexibility and potential application in a variety of sampling situations (e.g., migratory birds, breeding seabirds, sea turtles, fish, pinnipeds, etc.). Application of the methods is demonstrated with data from a study of migratory sandpipers.
","language":"English","publisher":"The International Biometric Society","doi":"10.1111/biom.12393","usgsCitation":"Lyons, J., Kendall, W., Royle, J., Converse, S., Andres, B.A., and Buchanan, J.B., 2016, Population size and stopover duration estimation using mark–resight data and Bayesian analysis of a superpopulation model: Biometrics, v. 72, no. 1, p. 262-271, https://doi.org/10.1111/biom.12393.","productDescription":"10 p.","startPage":"262","endPage":"271","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044684","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":323259,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-08","publicationStatus":"PW","scienceBaseUri":"57594221e4b04f417c256939","contributors":{"authors":[{"text":"Lyons, James E.","contributorId":35461,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[],"preferred":false,"id":637860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. 0000-0003-0084-9891 wkendall@usgs.gov","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":166709,"corporation":false,"usgs":true,"family":"Kendall","given":"William L.","email":"wkendall@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":138865,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":637451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Converse, Sarah J.","contributorId":85716,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah J.","affiliations":[],"preferred":false,"id":637861,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andres, Brad A.","contributorId":68811,"corporation":false,"usgs":true,"family":"Andres","given":"Brad","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":637862,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buchanan, Joseph B.","contributorId":171532,"corporation":false,"usgs":false,"family":"Buchanan","given":"Joseph","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":637863,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70178855,"text":"70178855 - 2016 - Landscape composition creates a threshold influencing Lesser Prairie-Chicken population resilience to extreme drought","interactions":[],"lastModifiedDate":"2016-12-09T14:05:54","indexId":"70178855","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Landscape composition creates a threshold influencing Lesser Prairie-Chicken population resilience to extreme drought","docAbstract":"Habitat loss and degradation compound the effects of climate change on wildlife, yet responses to climate and land cover change are often quantified independently. The interaction between climate and land cover change could be intensified in the Great Plains region where grasslands are being converted to row-crop agriculture concurrent with increased frequency of extreme drought events. We quantified the combined effects of land cover and climate change on a species of conservation concern in the Great Plains, the Lesser Prairie-Chicken (Tympanuchus pallidicinctus ). We combined extreme drought events and land cover change with lek count surveys in a Bayesian hierarchical model to quantify changes in abundance of male Lesser Prairie-Chickens from 1978 to 2014 in Kansas, the core of their species range. Our estimates of abundance indicate a gradually decreasing population through 2010 corresponding to drought events and reduced grassland areas. Decreases in Lesser Prairie-Chicken abundance were greatest in areas with increasing row-crop to grassland land cover ratio during extreme drought events, and decreased grassland reduces the resilience of Lesser Prairie-Chicken populations to extreme drought events. A threshold exists for Lesser Prairie-Chickens in response to the gradient of cropland:grassland land cover. When moving across the gradient of grassland to cropland, abundance initially increased in response to more cropland on the landscape, but declined in response to more cropland after the threshold (δ=0.096, or 9.6% cropland). Preservation of intact grasslands and continued implementation of initiatives to revert cropland to grassland should increase Lesser Prairie-Chicken resilience to extreme drought events due to climate change.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2016.03.003","usgsCitation":"Ross, B., Haukos, D.A., Hagen, C.A., and Pitman, J.C., 2016, Landscape composition creates a threshold influencing Lesser Prairie-Chicken population resilience to extreme drought: Global Ecology and Conservation, v. 6, p. 179-188, https://doi.org/10.1016/j.gecco.2016.03.003.","productDescription":"10 p.","startPage":"179","endPage":"188","ipdsId":"IP-071351","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":471105,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2016.03.003","text":"Publisher Index Page"},{"id":331807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.0465087890625,\n 36.99377838872517\n ],\n [\n -102.0465087890625,\n 39.198205348894795\n ],\n [\n -98.69018554687499,\n 39.198205348894795\n ],\n [\n -98.69018554687499,\n 36.99377838872517\n ],\n [\n -102.0465087890625,\n 36.99377838872517\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584bd0dfe4b077fc20250e14","contributors":{"authors":[{"text":"Ross, Beth E.","contributorId":56124,"corporation":false,"usgs":true,"family":"Ross","given":"Beth E.","affiliations":[],"preferred":false,"id":655363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":655320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hagen, Christian A.","contributorId":107574,"corporation":false,"usgs":true,"family":"Hagen","given":"Christian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":655364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pitman, James C.","contributorId":40529,"corporation":false,"usgs":true,"family":"Pitman","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":655365,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70182738,"text":"70182738 - 2016 - Seeded amplification of chronic wasting disease prions in nasal brushings and recto-anal mucosal associated lymphoid tissues from elk by real time quaking-induced conversion","interactions":[],"lastModifiedDate":"2017-02-28T10:52:14","indexId":"70182738","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2218,"text":"Journal of Clinical Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Seeded amplification of chronic wasting disease prions in nasal brushings and recto-anal mucosal associated lymphoid tissues from elk by real time quaking-induced conversion","docAbstract":"Chronic wasting disease (CWD), a transmissible spongiform encephalopathy of cervids, was first documented nearly 50 years ago in Colorado and Wyoming and has since been detected across North America and the Republic of Korea. The expansion of this disease makes the development of sensitive diagnostic assays and antemortem sampling techniques crucial for the mitigation of its spread; this is especially true in cases of relocation/reintroduction or prevalence studies of large or protected herds, where depopulation may be contraindicated. This study evaluated the sensitivity of the real-time quaking-induced conversion (RT-QuIC) assay of recto-anal mucosa-associated lymphoid tissue (RAMALT) biopsy specimens and nasal brushings collected antemortem. These findings were compared to results of immunohistochemistry (IHC) analysis of ante- and postmortem samples. RAMALT samples were collected from populations of farmed and free-ranging Rocky Mountain elk (Cervus elaphus nelsoni; n = 323), and nasal brush samples were collected from a subpopulation of these animals (n = 205). We hypothesized that the sensitivity of RT-QuIC would be comparable to that of IHC analysis of RAMALT and would correspond to that of IHC analysis of postmortem tissues. We found RAMALT sensitivity (77.3%) to be highly correlative between RT-QuIC and IHC analysis. Sensitivity was lower when testing nasal brushings (34%), though both RAMALT and nasal brush test sensitivities were dependent on both the PRNP genotype and disease progression determined by the obex score. These data suggest that RT-QuIC, like IHC analysis, is a relatively sensitive assay for detection of CWD prions in RAMALT biopsy specimens and, with further investigation, has potential for large-scale and rapid automated testing of antemortem samples for CWD.
","language":"English","publisher":"American Society of Microbiology ","doi":"10.1128/JCM.02700-15","usgsCitation":"Haley, N.J., Siepker, C., Hoon-Hanks, L.L., Mitchell, G., Walter, W.D., Manca, M., Monello, R.J., Powers, J.G., Wild, M., Hoover, E.A., Caughey, B., and Richt, J.A., 2016, Seeded amplification of chronic wasting disease prions in nasal brushings and recto-anal mucosal associated lymphoid tissues from elk by real time quaking-induced conversion: Journal of Clinical Microbiology, v. 54, no. 4, p. 1117-1126, https://doi.org/10.1128/JCM.02700-15.","productDescription":"10 p. ","startPage":"1117","endPage":"1126","ipdsId":"IP-068664","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471102,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1128/jcm.02700-15","text":"External Repository"},{"id":336318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b69a41e4b01ccd54ff3f9a","contributors":{"editors":[{"text":"Fenwick, B.W.","contributorId":184145,"corporation":false,"usgs":false,"family":"Fenwick","given":"B.W.","email":"","affiliations":[],"preferred":false,"id":673643,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Haley, Nicholas J.","contributorId":171814,"corporation":false,"usgs":false,"family":"Haley","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":673632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siepker, Chris","contributorId":171815,"corporation":false,"usgs":true,"family":"Siepker","given":"Chris","email":"","affiliations":[],"preferred":false,"id":673633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoon-Hanks, Laura L.","contributorId":184140,"corporation":false,"usgs":false,"family":"Hoon-Hanks","given":"Laura","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":673634,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitchell, Gordon","contributorId":184141,"corporation":false,"usgs":false,"family":"Mitchell","given":"Gordon","email":"","affiliations":[],"preferred":false,"id":673635,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walter, W. David 0000-0003-3068-1073 wwalter@usgs.gov","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":5083,"corporation":false,"usgs":true,"family":"Walter","given":"W.","email":"wwalter@usgs.gov","middleInitial":"David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":673511,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Manca, Matteo","contributorId":184142,"corporation":false,"usgs":false,"family":"Manca","given":"Matteo","email":"","affiliations":[],"preferred":false,"id":673636,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Monello, Ryan J.","contributorId":184143,"corporation":false,"usgs":false,"family":"Monello","given":"Ryan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":673637,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Powers, Jenny G.","contributorId":10710,"corporation":false,"usgs":true,"family":"Powers","given":"Jenny","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":673638,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wild, Margaret A.","contributorId":26976,"corporation":false,"usgs":true,"family":"Wild","given":"Margaret A.","affiliations":[],"preferred":false,"id":673639,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hoover, Edward A.","contributorId":52316,"corporation":false,"usgs":true,"family":"Hoover","given":"Edward","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":673640,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Caughey, Byron","contributorId":184144,"corporation":false,"usgs":false,"family":"Caughey","given":"Byron","email":"","affiliations":[],"preferred":false,"id":673641,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Richt, Jurgen a.","contributorId":171819,"corporation":false,"usgs":false,"family":"Richt","given":"Jurgen","email":"","middleInitial":"a.","affiliations":[],"preferred":false,"id":673642,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70193182,"text":"70193182 - 2016 - NHDPlus as a geospatial framework for SPARROW modeling","interactions":[],"lastModifiedDate":"2018-03-15T10:26:24","indexId":"70193182","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1975,"text":"Impact Assessment Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"NHDPlus as a geospatial framework for SPARROW modeling","docAbstract":"Successful water-resource management requires thorough knowledge and understanding of the relations among water-quality contaminate sources and the factors that affect the transport throughout a hydrologic system. Surface-water modeling is a valuable tool that can be applied to help advance and achieve the understanding of these dynamic relations. Spatially Referenced Regressions on Watershed Attributes (SPARROW) is one such model that uses nonlinear statistical methods to define conceptual and spatial relations among quantities of contaminant sources, monitored contaminant load, aquatic transport processes. NHDPlus Version 2 (V2) is a digital representation of a hydrologic network of streams and associated catchments. The dataset provides the fundamental spatial framework for SPARROW modeling.","language":"English","publisher":"American Water Resources Association","usgsCitation":"Brakebill, J.W., and Schwarz, G., 2016, NHDPlus as a geospatial framework for SPARROW modeling: Impact Assessment Bulletin, v. 18, no. 3.","ipdsId":"IP-073650","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":348610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347782,"type":{"id":15,"text":"Index Page"},"url":"https://www.awra.org/impact/"}],"volume":"18","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07ea50e4b09af898c8cc73","contributors":{"authors":[{"text":"Brakebill, John W. 0000-0001-9235-6810 jwbrakeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9235-6810","contributorId":1061,"corporation":false,"usgs":true,"family":"Brakebill","given":"John","email":"jwbrakeb@usgs.gov","middleInitial":"W.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":718136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":543,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory E.","email":"gschwarz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":false,"id":718137,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70177907,"text":"70177907 - 2016 - Temporal, geographic, and host distribution of avian paramyxovirus 1 (Newcastle disease virus)","interactions":[],"lastModifiedDate":"2016-10-26T12:00:06","indexId":"70177907","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1988,"text":"Infection, Genetics and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Temporal, geographic, and host distribution of avian paramyxovirus 1 (Newcastle disease virus)","docAbstract":"Newcastle disease is caused by virulent forms of avian paramyxovirus of serotype 1 (APMV-1) and has global economic importance. The disease reached panzootic proportions within two decades after first being identified in 1926 in the United Kingdom and Indonesia and still remains endemic in many countries across the world. Here we review information on the host, temporal, and geographic distribution of APMV-1 genetic diversity based on the evolutionary systematics of the complete coding region of the fusion gene. Strains of APMV-1 are phylogenetically separated into two classes (class I and class II) and further classified into genotypes based on genetic differences. Class I viruses are genetically less diverse, generally present in wild waterfowl, and are of low virulence. Class II viruses are genetically and phenotypically more diverse, frequently isolated from poultry with occasional spillovers into wild birds, and exhibit a wider range of virulence. Waterfowl, cormorants, and pigeons are natural reservoirs of all APMV-1 pathotypes, except viscerotropic velogenic viruses for which natural reservoirs have not been identified. Genotypes I and II within class II include isolates of high and low virulence, the latter often being used as vaccines. Viruses of genotypes III and IX that emerged decades ago are now isolated rarely, but may be found in domestic and wild birds in China. Containing only virulent viruses and responsible for the majority of recent outbreaks in poultry and wild birds, viruses from genotypes V, VI, and VII, are highly mobile and have been isolated on different continents. Conversely, virulent viruses of genotypes XI (Madagascar), XIII (mainly Southwest Asia), XVI (North America) and XIV, XVII and XVIII (Africa) appear to have a more limited geographic distribution and have been isolated predominantly from poultry.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.meegid.2016.01.008","usgsCitation":"Dimitrov, K.M., Ramey, A.M., Qiu, X., Bahl, J., and Afonso, C.L., 2016, Temporal, geographic, and host distribution of avian paramyxovirus 1 (Newcastle disease virus): Infection, Genetics and Evolution, v. 39, p. 22-34, https://doi.org/10.1016/j.meegid.2016.01.008.","productDescription":"13 p.","startPage":"22","endPage":"34","ipdsId":"IP-069077","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":471099,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.meegid.2016.01.008","text":"Publisher Index Page"},{"id":330406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5811c0f2e4b0f497e79a5a73","chorus":{"doi":"10.1016/j.meegid.2016.01.008","url":"http://dx.doi.org/10.1016/j.meegid.2016.01.008","publisher":"Elsevier BV","authors":"Dimitrov Kiril M., Ramey Andrew M., Qiu Xueting, Bahl Justin, Afonso Claudio L.","journalName":"Infection, Genetics and Evolution","publicationDate":"4/2016"},"contributors":{"authors":[{"text":"Dimitrov, Kiril M.","contributorId":176311,"corporation":false,"usgs":false,"family":"Dimitrov","given":"Kiril","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":652158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":652108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Qiu, Xueting","contributorId":176312,"corporation":false,"usgs":false,"family":"Qiu","given":"Xueting","email":"","affiliations":[],"preferred":false,"id":652159,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bahl, Justin","contributorId":171803,"corporation":false,"usgs":false,"family":"Bahl","given":"Justin","affiliations":[{"id":26950,"text":"University of Texas School of Public Health, 1200 Pressler Street, Houston, TX 77030, USA","active":true,"usgs":false}],"preferred":false,"id":652160,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Afonso, Claudio L.","contributorId":171954,"corporation":false,"usgs":false,"family":"Afonso","given":"Claudio","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":652161,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70178117,"text":"70178117 - 2016 - Evaluation of six NEHRP B/C crustal amplification models proposed for use in western North America","interactions":[],"lastModifiedDate":"2016-11-03T11:20:58","indexId":"70178117","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of six NEHRP B/C crustal amplification models proposed for use in western North America","docAbstract":"We evaluate six crustal amplification models based on National Earthquake Hazards Reduction Program (NEHRP) B/C crustal profiles proposed for use in western North America (WNA) and often used in other active crustal regions where crustal properties are unknown. One of the models is based on an interpolation of generic rock velocity profiles previously proposed for WNA and central and eastern North America (CENA), in conjunction with material densities based on an updated velocity–density relationship. A second model is based on the velocity profile used to develop amplification factors for the Next Generation Attenuation (NGA)‐West2 project. A third model is based on a near‐surface velocity profile developed from the NGA‐West2 site database. A fourth model is based on velocity and density profiles originally proposed for use in CENA but recently used to represent crustal properties in California. We propose two alternatives to this latter model that more closely represent WNA crustal properties. We adopt a value of site attenuation (κ0) for each model that is either recommended by the author of the model or proposed by us. Stochastic simulation is used to evaluate the Fourier amplification factors and their impact on response spectra associated with each model. Based on this evaluation, we conclude that among the available models evaluated in this study the NEHRP B/C amplification model of Boore (2016) best represents median crustal amplification in WNA, although the amplification models based on the crustal profiles of Kamai et al. (2013, 2016, unpublished manuscript, see Data and Resources) and Yenier and Atkinson (2015), the latter adjusted to WNA crustal properties, can be used to represent epistemic uncertainty.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120150242","usgsCitation":"Boore, D., and Campbell, K.W., 2016, Evaluation of six NEHRP B/C crustal amplification models proposed for use in western North America: Bulletin of the Seismological Society of America, v. 106, no. 2, p. 673-686, https://doi.org/10.1785/0120150242.","productDescription":"14 p.","startPage":"673","endPage":"686","ipdsId":"IP-069474","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":330686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-16","publicationStatus":"PW","scienceBaseUri":"581c4cc3e4b09688d6e90fbd","contributors":{"authors":[{"text":"Boore, David 0000-0002-8605-9673 boore@usgs.gov","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":140502,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":652849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Kenneth W.","contributorId":74391,"corporation":false,"usgs":false,"family":"Campbell","given":"Kenneth","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":652850,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189512,"text":"70189512 - 2016 - Aeshnid dragonfly larvae as bioindicators of methylmercury contamination in aquatic systems impacted by elevated sulfate loading","interactions":[],"lastModifiedDate":"2017-07-14T10:36:43","indexId":"70189512","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Aeshnid dragonfly larvae as bioindicators of methylmercury contamination in aquatic systems impacted by elevated sulfate loading","docAbstract":"Methylmercury (MeHg) levels in dragonfly larvae and water were measured over two years in aquatic systems impacted to varying degrees by sulfate releases related to iron mining activity. This study examined the impact of elevated sulfate loads on MeHg concentrations and tested the use of MeHg in dragonfly larvae as an indicator of MeHg levels in a range of aquatic systems including 16 river/stream sites and two lakes. MeHg concentrations in aeshnid dragonfly larvae were positively correlated (R2 = 0.46, p < 0.01) to peak MeHg concentrations in the dissolved phase for the combined years of 2012 and 2013. This relation was strong in 2012 (R2 = 0.85, p < 0.01), but showed no correlation in 2013 (R2 = 0.02, p > 0.05). MeHg in dragonfly larvae were not elevated at the highest sulfate sites, but rather the reverse was generally observed. Record rainfall events in 2012 and above average rainfall in 2013 likely delivered the majority of Hg and MeHg to these systems via interflow and activated groundwater flow through reduced sediments. As a result, the impacts of elevated sulfate releases due to mining activities were not apparent in these systems where little of the sulfate is reduced. Lower bioaccumulation factors for MeHg in aeshnid dragonfly larvae were observed with increasing dissolved organic carbon (DOC) concentrations. This finding is consistent with previous studies showing that MeHg in high DOC systems is less bioavailable; an equilibrium model shows that more MeHg being associated with DOC rather than algae at the base of the food chain readily explains the lower bioaccumulation factors.
","language":"English","publisher":"Springer","doi":"10.1007/s10646-015-1603-9","usgsCitation":"Jeremiason, J.D., Reiser, T.K., Weitz, R.A., Berndt, M., and Aiken, G.R., 2016, Aeshnid dragonfly larvae as bioindicators of methylmercury contamination in aquatic systems impacted by elevated sulfate loading: Ecotoxicology, v. 25, no. 3, p. 456-468, https://doi.org/10.1007/s10646-015-1603-9.","productDescription":"13 p.","startPage":"456","endPage":"468","ipdsId":"IP-071234","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"3","noUsgsAuthors":false,"publicationDate":"2016-01-06","publicationStatus":"PW","scienceBaseUri":"5969d82be4b0d1f9f060a18c","contributors":{"authors":[{"text":"Jeremiason, Jeffrey D.","contributorId":7146,"corporation":false,"usgs":true,"family":"Jeremiason","given":"Jeffrey","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":704977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reiser, T. K.","contributorId":194673,"corporation":false,"usgs":false,"family":"Reiser","given":"T.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":704978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weitz, R. A.","contributorId":194674,"corporation":false,"usgs":false,"family":"Weitz","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":704979,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berndt, M.E.","contributorId":78487,"corporation":false,"usgs":true,"family":"Berndt","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":704980,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":704981,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70174974,"text":"70174974 - 2016 - Detailed mapping and rupture implications of the 1 km releasing bend in the Rodgers Creek Fault at Santa Rosa, northern California","interactions":[],"lastModifiedDate":"2021-05-21T17:14:50.19961","indexId":"70174974","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Detailed mapping and rupture implications of the 1 km releasing bend in the Rodgers Creek Fault at Santa Rosa, northern California","docAbstract":"Airborne light detection and ranging (lidar) topography reveals for the first time the trace of the Rodgers Creek fault (RCF) through the center of Santa Rosa, the largest city in the northern San Francisco Bay area. Vertical deformation of the Santa Rosa Creek floodplain expresses a composite pull‐apart basin beneath the urban cover that is part of a broader 1‐km‐wide right‐releasing bend in the fault. High‐resolution geophysical data illuminate subsurface conditions that may be responsible for the complex pattern of surface faulting, as well as for the distribution of seismicity and possibly for creep behavior. We identify a dense, magnetic basement body bounded by the RCF beneath Santa Rosa that we interpret as a strong asperity, likely part of a larger locked patch of the fault to the south. A local increase in frictional resistance associated with the basement body appears to explain (1) distributed fault‐normal extension above where the RCF intersects the body; (2) earthquake activity around the northern end of the body, notably the 1969 ML 5.6 and 5.7 events and aftershocks; and (3) creep rates on the RCF that are higher to the north of Santa Rosa than to the south. There is a significant probability of a major earthquake on the RCF in the coming decades, and earthquakes associated with the proposed asperity have the potential to release seismic energy into the Cotati basin beneath Santa Rosa, already known from damaging historical earthquakes to produce amplified ground shaking.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120150152","usgsCitation":"Hecker, S., Langenheim, V., Williams, R., Hitchcock, C.S., and DeLong, S.B., 2016, Detailed mapping and rupture implications of the 1 km releasing bend in the Rodgers Creek Fault at Santa Rosa, northern California: Bulletin of the Seismological Society of America, v. 106, no. 2, p. 575-594, https://doi.org/10.1785/0120150152.","productDescription":"20 p.","startPage":"575","endPage":"594","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062016","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":325596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Santa Rosa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.84637451171874,\n 38.33088431959968\n ],\n [\n -122.84637451171874,\n 38.52453288748689\n ],\n [\n -122.55249023437501,\n 38.52453288748689\n ],\n [\n -122.55249023437501,\n 38.33088431959968\n ],\n [\n -122.84637451171874,\n 38.33088431959968\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"106","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-01","publicationStatus":"PW","scienceBaseUri":"5797382fe4b021cadec8ff2a","contributors":{"authors":[{"text":"Hecker, Suzanne 0000-0002-5054-372X shecker@usgs.gov","orcid":"https://orcid.org/0000-0002-5054-372X","contributorId":3553,"corporation":false,"usgs":true,"family":"Hecker","given":"Suzanne","email":"shecker@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":643469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":643470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Robert 0000-0002-2973-8493 rawilliams@usgs.gov","orcid":"https://orcid.org/0000-0002-2973-8493","contributorId":140741,"corporation":false,"usgs":true,"family":"Williams","given":"Robert","email":"rawilliams@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":643471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hitchcock, Christopher S.","contributorId":173160,"corporation":false,"usgs":false,"family":"Hitchcock","given":"Christopher","email":"","middleInitial":"S.","affiliations":[{"id":27167,"text":"InfraTerra, Inc.","active":true,"usgs":false}],"preferred":false,"id":643472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeLong, Stephen B. 0000-0002-0945-2172 sdelong@usgs.gov","orcid":"https://orcid.org/0000-0002-0945-2172","contributorId":5240,"corporation":false,"usgs":true,"family":"DeLong","given":"Stephen","email":"sdelong@usgs.gov","middleInitial":"B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":643473,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70188066,"text":"70188066 - 2016 - The power of remote sensing: Global monitoring of weather, water, and crops with satellites and data integration","interactions":[],"lastModifiedDate":"2020-12-21T16:00:29.132398","indexId":"70188066","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5406,"text":"Resource: Engineering and Technology for a Sustainable World","printIssn":"1076-3333","active":true,"publicationSubtype":{"id":10}},"title":"The power of remote sensing: Global monitoring of weather, water, and crops with satellites and data integration","docAbstract":"Imagine a family of six whose livelihood is based on subsistence farming on a small, maybe one hectare, parcel of land somewhere in Africa. The seasonal rainfall varies greatly, from 500 to 800 mm per year, and the land is degraded. Thus, the parcel’s total productivity is not more than 1.5 tonnes in a good year, hardly meeting the family’s food requirements. The lack of surplus grain eliminates the need for grain storage structures, and due to the high rainfall variability, drought hazard is always looming, with an average recurrence interval of five to ten years.
","language":"English","publisher":"American Society of Agricultural and Biological Engineers","usgsCitation":"Senay, G., 2016, The power of remote sensing: Global monitoring of weather, water, and crops with satellites and data integration: Resource: Engineering and Technology for a Sustainable World, v. 23, no. 2, p. 6-9.","productDescription":"4 p.","startPage":"6","endPage":"9","ipdsId":"IP-069936","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":341853,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://elibrary.asabe.org/abstract.asp?aid=46628"}],"volume":"23","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592e84b9e4b092b266f10d32","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":696381,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70185203,"text":"70185203 - 2016 - Fines classification based on sensitivity to pore-fluid chemistry","interactions":[],"lastModifiedDate":"2017-03-16T12:40:30","indexId":"70185203","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2327,"text":"Journal of Geotechnical and Geoenvironmental Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Fines classification based on sensitivity to pore-fluid chemistry","docAbstract":"The 75-μm particle size is used to discriminate between fine and coarse grains. Further analysis of fine grains is typically based on the plasticity chart. Whereas pore-fluid-chemistry-dependent soil response is a salient and distinguishing characteristic of fine grains, pore-fluid chemistry is not addressed in current classification systems. Liquid limits obtained with electrically contrasting pore fluids (deionized water, 2-M NaCl brine, and kerosene) are combined to define the soil “electrical sensitivity.” Liquid limit and electrical sensitivity can be effectively used to classify fine grains according to their fluid-soil response into no-, low-, intermediate-, or high-plasticity fine grains of low, intermediate, or high electrical sensitivity. The proposed methodology benefits from the accumulated experience with liquid limit in the field and addresses the needs of a broader range of geotechnical engineering problems.
Mt. Paektu (also known as Changbaishan) is an enigmatic volcano on the border between the Democratic People’s Republic of Korea (DPRK) and China. Despite being responsible for one of the largest eruptions in history, comparatively little is known about its magmatic evolution, geochronology, or underlying structure. We present receiver function results from an unprecedented seismic deployment in the DPRK. These are the first estimates of the crustal structure on the DPRK side of the volcano and, indeed, for anywhere beneath the DPRK. The crust 60 km from the volcano has a thickness of 35 km and a bulk VP/VS of 1.76, similar to that of the Sino-Korean craton. The VP/VS ratio increases ~20 km from the volcano, rising to >1.87 directly beneath the volcano. This shows that a large region of the crust has been modified by magmatism associated with the volcanism. Such high values of VP/VS suggest that partial melt is present in the crust beneath Mt. Paektu. This region of melt represents a potential source for magmas erupted in the last few thousand years and may be associated with an episode of volcanic unrest observed between 2002 and 2005.
","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.1501513","usgsCitation":"Kyong-Song, R., Hammond, J., Chol-Nam, K., Hyok, K., Yong-Gun, Y., Gil-Jong, P., Chong-Song, R., Oppenheimer, C., Liu, K.W., Iacovino, K.D., and Kum-Ran, R., 2016, Evidence for partial melt in the crust beneath Mt. Paektu (Changbaishan), Democratic People’s Republic of Korea and China: Science Advances, v. 2, no. 4, e1501513; 6 p., https://doi.org/10.1126/sciadv.1501513.","productDescription":"e1501513; 6 p.","ipdsId":"IP-071512","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471104,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.1501513","text":"Publisher Index Page"},{"id":343418,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China, Democratic People’s Republic of Korea","otherGeospatial":"Mt. Paektu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 129,\n 41.8\n ],\n [\n 127.8,\n 41.8\n ],\n [\n 127.8,\n 42.2\n ],\n [\n 129,\n 42.2\n ],\n [\n 129,\n 41.8\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c3fe4b0d1f9f057e34c","contributors":{"authors":[{"text":"Kyong-Song, Ri","contributorId":194279,"corporation":false,"usgs":false,"family":"Kyong-Song","given":"Ri","email":"","affiliations":[],"preferred":false,"id":703651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hammond, James O. S.","contributorId":194280,"corporation":false,"usgs":false,"family":"Hammond","given":"James O. S.","affiliations":[],"preferred":false,"id":703652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chol-Nam, Ko","contributorId":194281,"corporation":false,"usgs":false,"family":"Chol-Nam","given":"Ko","email":"","affiliations":[],"preferred":false,"id":703653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hyok, Kim","contributorId":194282,"corporation":false,"usgs":false,"family":"Hyok","given":"Kim","email":"","affiliations":[],"preferred":false,"id":703654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yong-Gun, Yun","contributorId":194283,"corporation":false,"usgs":false,"family":"Yong-Gun","given":"Yun","email":"","affiliations":[],"preferred":false,"id":703655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gil-Jong, Pak","contributorId":194284,"corporation":false,"usgs":false,"family":"Gil-Jong","given":"Pak","email":"","affiliations":[],"preferred":false,"id":703656,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chong-Song, Ri","contributorId":194285,"corporation":false,"usgs":false,"family":"Chong-Song","given":"Ri","email":"","affiliations":[],"preferred":false,"id":703657,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Oppenheimer, Clive","contributorId":174445,"corporation":false,"usgs":false,"family":"Oppenheimer","given":"Clive","email":"","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":703658,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, Kosima W.","contributorId":194287,"corporation":false,"usgs":false,"family":"Liu","given":"Kosima","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":703659,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Iacovino, Kayla D. kiacovino@usgs.gov","contributorId":5737,"corporation":false,"usgs":true,"family":"Iacovino","given":"Kayla","email":"kiacovino@usgs.gov","middleInitial":"D.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":703650,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kum-Ran, Ryu","contributorId":194288,"corporation":false,"usgs":false,"family":"Kum-Ran","given":"Ryu","email":"","affiliations":[],"preferred":false,"id":703660,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70185028,"text":"70185028 - 2016 - Changing exhumation patterns during Cenozoic growth and glaciation of the Alaska Range: Insights from detrital thermochronology and geochronology","interactions":[],"lastModifiedDate":"2023-11-03T10:49:59.641588","indexId":"70185028","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Changing exhumation patterns during Cenozoic growth and glaciation of the Alaska Range: Insights from detrital thermochronology and geochronology","docAbstract":"Cenozoic growth of the Alaska Range created the highest topography in North America, but the space-time pattern and drivers of exhumation are poorly constrained. We analyzed U/Pb and fission-track double dates of detrital zircon and apatite grains from 12 catchments that span a 450 km length of the Alaska Range to illuminate the timing and extent of exhumation during different periods. U/Pb ages indicate a dominant Late Cretaceous to Oligocene plutonic provenance for the detrital grains, with only a small percentage of grains recycled from the Mesozoic and Paleozoic sedimentary cover. Fission-track ages record exhumation during Alaska Range growth and incision and reveal three distinctive patterns. First, initial Oligocene exhumation was focused in the central Alaska Range at ~30 Ma and expanded outward along the entire length of the range until 18 Ma. Oligocene exhumation, coeval with initial Yakutat microplate collision >600 km to the southeast, suggests a far-field response to collision that was localized by the Denali Fault within a weak Mesozoic suture zone. Second, the variable timing of middle to late Miocene exhumation suggests independently evolving histories influenced by local structures. Time-transgressive cooling ages suggest successive rock uplift and erosion of Mounts Foraker (12 Ma) through Denali (6 Ma) as crust was advected through a restraining bend in the Denali Fault and indicate a long-term slip rate ~4 mm/yr. Third, Pliocene exhumation is synchronous (3.7–2.7 Ma) along the length of the Alaska Range but only occurs in high-relief, glacier-covered catchments. Pliocene exhumation may record an acceleration in glacial incision that was coincident with the onset of Northern Hemisphere glaciation.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015TC004067","usgsCitation":"Lease, R.O., Haeussler, P.J., and O'Sullivan, P., 2016, Changing exhumation patterns during Cenozoic growth and glaciation of the Alaska Range: Insights from detrital thermochronology and geochronology: Tectonics, v. 35, no. 4, p. 934-955, https://doi.org/10.1002/2015TC004067.","productDescription":"22 p.","startPage":"934","endPage":"955","ipdsId":"IP-070302","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":337602,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -154.01788347261635,\n 58.892014225793616\n ],\n [\n -137.75,\n 57\n ],\n [\n -137.28782896792953,\n 59.0501098301491\n ],\n [\n -141.2040663724411,\n 60.437390285838376\n ],\n [\n -142.1192768747215,\n 63.18177440344454\n ],\n [\n -154,\n 63.1\n ],\n [\n -154.01788347261635,\n 58.892014225793616\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"35","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-21","publicationStatus":"PW","scienceBaseUri":"58ca52cee4b0849ce97c86b2","contributors":{"authors":[{"text":"Lease, Richard O. 0000-0003-2582-8966 rlease@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-8966","contributorId":5098,"corporation":false,"usgs":true,"family":"Lease","given":"Richard","email":"rlease@usgs.gov","middleInitial":"O.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":684006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":684007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Sullivan, Paul","contributorId":84473,"corporation":false,"usgs":true,"family":"O'Sullivan","given":"Paul","affiliations":[],"preferred":false,"id":684448,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70190336,"text":"70190336 - 2016 - Seasonal habitat use of brook trout and juvenile steelhead in a Lake Ontario tributary","interactions":[],"lastModifiedDate":"2017-08-26T13:47:28","indexId":"70190336","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal habitat use of brook trout and juvenile steelhead in a Lake Ontario tributary","docAbstract":"Brook trout (Salvelinus fontinalis) are generally restricted to headwaters in New York tributaries of Lake Ontario. In only a few streams are brook trout abundant in lower stream reaches that are accessible to adult Pacific salmonids migrating from the lake. Consequently, because of the rarity of native brook trout populations in these lower stream reaches it is important to understand how they use stream habitat in sympatry with juvenile Pacific salmonids which are now naturalized in several Lake Ontario tributaries. In this study, we examined the seasonal (spring, summer, and fall) habitat use of brook trout and juvenile steelhead (Oncorhynchus mykiss) in Hart Brook, a tributary of eastern Lake Ontario. We found interspecific, intraspecific, and seasonal variation in habitat use. Subyearling steelhead were associated with faster water velocities than subyearling brook trout and, overall, had the least habitat similarity to the other salmonid groups examined. Overyearling brook trout and yearling steelhead exhibited the greatest degree of habitat selection and habitat selection by all four salmonid groups was greatest in summer. The availability of pool habitat for overyearling salmonids may pose the largest impediment to these species in Hart Brook.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2015.1123655","usgsCitation":"Johnson, J.H., Abbett, R., Chalupnicki, M.A., and Verdoliva, F., 2016, Seasonal habitat use of brook trout and juvenile steelhead in a Lake Ontario tributary: Journal of Freshwater Ecology, v. 31, no. 2, p. 239-249, https://doi.org/10.1080/02705060.2015.1123655.","productDescription":"11 p.","startPage":"239","endPage":"249","ipdsId":"IP-070095","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":471366,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2015.1123655","text":"Publisher Index Page"},{"id":345159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"2","noUsgsAuthors":false,"publicationDate":"2016-01-27","publicationStatus":"PW","scienceBaseUri":"59a288c9e4b077f0056692af","contributors":{"authors":[{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":708508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abbett, Ross 0000-0001-6276-5541 rabbett@usgs.gov","orcid":"https://orcid.org/0000-0001-6276-5541","contributorId":4359,"corporation":false,"usgs":true,"family":"Abbett","given":"Ross","email":"rabbett@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":708509,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chalupnicki, Marc A. mchalupnicki@usgs.gov","contributorId":3236,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","email":"mchalupnicki@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":708510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verdoliva, Francis","contributorId":150381,"corporation":false,"usgs":false,"family":"Verdoliva","given":"Francis","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":708511,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70179445,"text":"70179445 - 2016 - Slow climate velocities of mountain streams portend their role as refugia for cold-water biodiversity","interactions":[],"lastModifiedDate":"2017-01-03T11:21:55","indexId":"70179445","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Slow climate velocities of mountain streams portend their role as refugia for cold-water biodiversity","docAbstract":"The imminent demise of montane species is a recurrent theme in the climate change literature, particularly for aquatic species that are constrained to networks and elevational rather than latitudinal retreat as temperatures increase. Predictions of widespread species losses, however, have yet to be fulfilled despite decades of climate change, suggesting that trends are much weaker than anticipated and may be too subtle for detection given the widespread use of sparse water temperature datasets or imprecise surrogates like elevation and air temperature. Through application of large water-temperature databases evaluated for sensitivity to historical air-temperature variability and computationally interpolated to provide high-resolution thermal habitat information for a 222,000-km network, we estimate a less dire thermal plight for cold-water species within mountains of the northwestern United States. Stream warming rates and climate velocities were both relatively low for 1968–2011 (average warming rate = 0.101 °C/decade; median velocity = 1.07 km/decade) when air temperatures warmed at 0.21 °C/decade. Many cold-water vertebrate species occurred in a subset of the network characterized by low climate velocities, and three native species of conservation concern occurred in extremely cold, slow velocity environments (0.33–0.48 km/decade). Examination of aggressive warming scenarios indicated that although network climate velocities could increase, they remain low in headwaters because of strong local temperature gradients associated with topographic controls. Better information about changing hydrology and disturbance regimes is needed to complement these results, but rather than being climatic cul-de-sacs, many mountain streams appear poised to be redoubts for cold-water biodiversity this century.
","language":"English","publisher":"PNAS","doi":"10.1073/pnas.1522429113","usgsCitation":"Isaak, D.J., Young, M.K., Luce, C.H., Hostetler, S.W., Wenger, S., Peterson, E.E., Ver Hoef, J., Groce, M.C., Horan, D.L., and Nagel, D.E., 2016, Slow climate velocities of mountain streams portend their role as refugia for cold-water biodiversity: Proceedings of the National Academy of Sciences of the United States of America, v. 113, no. 16, p. 4374-4379, https://doi.org/10.1073/pnas.1522429113.","productDescription":"6 p.","startPage":"4374","endPage":"4379","ipdsId":"IP-072844","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":471098,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4843441","text":"External Repository"},{"id":332732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"16","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-04","publicationStatus":"PW","scienceBaseUri":"586cc697e4b0f5ce109fa957","contributors":{"authors":[{"text":"Isaak, Daniel J.","contributorId":177835,"corporation":false,"usgs":false,"family":"Isaak","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":657245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Michael K.","contributorId":177836,"corporation":false,"usgs":false,"family":"Young","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":657246,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luce, Charles H.","contributorId":177837,"corporation":false,"usgs":false,"family":"Luce","given":"Charles","email":"","middleInitial":"H.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":657247,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":657244,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wenger, Seth J.","contributorId":177838,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth J.","affiliations":[],"preferred":false,"id":657248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, Erin E.","contributorId":177839,"corporation":false,"usgs":false,"family":"Peterson","given":"Erin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":657249,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ver Hoef, Jay","contributorId":177840,"corporation":false,"usgs":false,"family":"Ver Hoef","given":"Jay","affiliations":[],"preferred":false,"id":657250,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Groce, Matthew C.","contributorId":177841,"corporation":false,"usgs":false,"family":"Groce","given":"Matthew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":657251,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Horan, Dona L.","contributorId":36672,"corporation":false,"usgs":true,"family":"Horan","given":"Dona","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":657252,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nagel, David E.","contributorId":86887,"corporation":false,"usgs":true,"family":"Nagel","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":657253,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70184450,"text":"70184450 - 2016 - RMT focal plane sensitivity to seismic network geometry and faulting style","interactions":[],"lastModifiedDate":"2017-03-09T11:35:11","indexId":"70184450","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"RMT focal plane sensitivity to seismic network geometry and faulting style","docAbstract":"Modern tectonic studies often use regional moment tensors (RMTs) to interpret the seismotectonic framework of an earthquake or earthquake sequence; however, despite extensive use, little existing work addresses RMT parameter uncertainty. Here, we quantify how network geometry and faulting style affect RMT sensitivity. We examine how data-model fits change with fault plane geometry (strike and dip) for varying station configurations. We calculate the relative data fit for incrementally varying geometries about a best-fitting solution, applying our workflow to real and synthetic seismograms for both real and hypothetical station distributions and earthquakes. Initially, we conduct purely observational tests, computing RMTs from synthetic seismograms for hypothetical earthquakes and a series of well-behaved network geometries. We then incorporate real data and station distributions from the International Maule Aftershock Deployment (IMAD), which recorded aftershocks of the 2010 MW 8.8 Maule earthquake, and a set of regional stations capturing the ongoing earthquake sequence in Oklahoma and southern Kansas. We consider RMTs computed under three scenarios: (1) real seismic records selected for high data quality; (2) synthetic seismic records with noise computed for the observed source-station pairings and (3) synthetic seismic records with noise computed for all possible station-source pairings. To assess RMT sensitivity for each test, we observe the ‘fit falloff’, which portrays how relative fit changes when strike or dip varies incrementally; we then derive the ranges of acceptable strikes and dips by identifying the span of solutions with relative fits larger than 90 per cent of the best fit. For the azimuthally incomplete IMAD network, Scenario 3 best constrains fault geometry, with average ranges of 45° and 31° for strike and dip, respectively. In Oklahoma, Scenario 3 best constrains fault dip with an average range of 46°; however, strike is best constrained by Scenario 1, with a range of 26°. We draw two main conclusions from this study. (1) Station distribution impacts our ability to constrain RMTs using waveform time-series; however, in some tectonic settings, faulting style also plays a significant role and (2) increasing station density and data quantity (both the number of stations and the number of individual channels) does not necessarily improve RMT constraint. These results may be useful when organizing future seismic deployments (e.g. by concentrating stations in alignment with anticipated nodal planes), and in computing RMTs, either by guiding a more rigorous data selection process for input data or informing variable weighting among the selected data (e.g. by eliminating the transverse component when strike-slip mechanisms are expected).
","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggw141","usgsCitation":"Johnson, K.L., Hayes, G.P., Herrmann, R., Benz, H.M., McNamara, D.E., and Bergman, E.A., 2016, RMT focal plane sensitivity to seismic network geometry and faulting style: Geophysical Journal International, v. 206, no. 1, p. 525-556, https://doi.org/10.1093/gji/ggw141.","productDescription":"32 p.","startPage":"525","endPage":"556","ipdsId":"IP-075457","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":471100,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggw141","text":"Publisher Index Page"},{"id":337167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"206","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-11","publicationStatus":"PW","scienceBaseUri":"58c277dce4b014cc3a3e76d7","contributors":{"authors":[{"text":"Johnson, Kendra L. kljohnson@usgs.gov","contributorId":4908,"corporation":false,"usgs":true,"family":"Johnson","given":"Kendra","email":"kljohnson@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":681566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Gavin P. 0000-0003-3323-0112 ghayes@usgs.gov","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":147556,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin","email":"ghayes@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":681567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herrmann, Robert B.","contributorId":80255,"corporation":false,"usgs":false,"family":"Herrmann","given":"Robert B.","affiliations":[],"preferred":false,"id":681568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":681569,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McNamara, Daniel E. 0000-0001-6860-0350 mcnamara@usgs.gov","orcid":"https://orcid.org/0000-0001-6860-0350","contributorId":402,"corporation":false,"usgs":true,"family":"McNamara","given":"Daniel","email":"mcnamara@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":681570,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bergman, Eric A. 0000-0002-7069-8286","orcid":"https://orcid.org/0000-0002-7069-8286","contributorId":84513,"corporation":false,"usgs":false,"family":"Bergman","given":"Eric","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":681571,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70160859,"text":"70160859 - 2016 - Seismic site characterization of an urban dedimentary basin, Livermore Valley, California: Site tesponse, basin-edge-induced surface waves, and 3D simulations","interactions":[],"lastModifiedDate":"2016-06-29T11:05:08","indexId":"70160859","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Seismic site characterization of an urban dedimentary basin, Livermore Valley, California: Site tesponse, basin-edge-induced surface waves, and 3D simulations","docAbstract":"Thirty‐two accelerometers were deployed in the Livermore Valley, California, for approximately one year to study sedimentary basin effects. Many local and near‐regional earthquakes were recorded, including the 24 August 2014 Mw 6.0 Napa, California, earthquake. The resulting ground‐motion data set is used to quantify the seismic response of the Livermore basin, a major structural depression in the California Coast Range Province bounded by active faults. Site response is calculated by two methods: the reference‐site spectral ratio method and a source‐site spectral inversion method. Longer‐period (≥1 s) amplification factors follow the same general pattern as Bouguer gravity anomaly contours. Site response spectra are inverted for shallow shear‐wave velocity profiles, which are consistent with independent information. Frequency–wavenumber analysis is used to analyze plane‐wave propagation across the Livermore Valley and to identify basin‐edge‐induced surface waves with back azimuths different from the source back azimuth. Finite‐element simulations in a 3D velocity model of the region illustrate the generation of basin‐edge‐induced surface waves and point out strips of elevated ground velocities along the margins of the basin.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120150289","usgsCitation":"Hartzell, S.H., Leeds, A.L., Ramirez-Guzman, L., Allen, J.P., and Schmitt, R.G., 2016, Seismic site characterization of an urban dedimentary basin, Livermore Valley, California: Site tesponse, basin-edge-induced surface waves, and 3D simulations: Bulletin of the Seismological Society of America, v. 103, no. 2, p. 609-631, https://doi.org/10.1785/0120150289.","productDescription":"23 p.","startPage":"609","endPage":"631","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071579","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":324604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-06","publicationStatus":"PW","scienceBaseUri":"5774f2c6e4b07dd077c6aa3f","contributors":{"authors":[{"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":584071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leeds, Alena L. 0000-0002-8756-3687 aleeds@usgs.gov","orcid":"https://orcid.org/0000-0002-8756-3687","contributorId":4077,"corporation":false,"usgs":true,"family":"Leeds","given":"Alena","email":"aleeds@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":584072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramirez-Guzman, Leonardo","contributorId":151026,"corporation":false,"usgs":false,"family":"Ramirez-Guzman","given":"Leonardo","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":584073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, James P. jallen@usgs.gov","contributorId":4797,"corporation":false,"usgs":true,"family":"Allen","given":"James","email":"jallen@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":584074,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmitt, Robert G. 0000-0001-8060-1954 rschmitt@usgs.gov","orcid":"https://orcid.org/0000-0001-8060-1954","contributorId":5611,"corporation":false,"usgs":true,"family":"Schmitt","given":"Robert","email":"rschmitt@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":584075,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70162467,"text":"70162467 - 2016 - The Chief Joseph Hatchery Program 2013 Annual Report","interactions":[],"lastModifiedDate":"2017-12-12T12:49:35","indexId":"70162467","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"The Chief Joseph Hatchery Program 2013 Annual Report","docAbstract":"The Chief Joseph Hatchery is the fourth hatchery obligated under the Grand Coulee Dam/Dry Falls project, originating in the 1940s. Leavenworth, Entiat, and Winthrop National Fish Hatcheries were built and operated as mitigation for salmon blockage at Grand Coulee Dam, but the fourth hatchery was not built, and the obligation was nearly forgotten. After the Colville Tribes successfully collaborated with the United States to resurrect the project, planning of the hatchery began in 2001 and construction was completed in 2013. The monitoring program began in 2012 and adult Chinook Salmon were brought on station for the first time in June 2013. BPA is the primary funding source for CJH, and the Mid-Columbia PUDs (Douglas, Grant and Chelan County) have entered into cost-share agreements with the tribes and BPA in order to meet some of their mitigation obligations.
The CJH production level was set at 60% in 2013 in order to train staff and test hatchery facility systems during the first year of operation. Leavenworth National Fish Hatchery (LNFH) provided 422 Spring Chinook broodstock in June, 2013; representing the official beginning of CJH operations. In July and August the CCT used a purse seine vessel to collect 814 summer/fall Chinook as broodstock that were a continuation and expansion of the previous Similkameen Pond program. In-hatchery survival for most life stages exceeded survival targets and, as of April 2014, the program was on track to exceed the 60% production target for its start-up year.
The CJH monitoring project collected field data to determine Chinook population status, trend, and hatchery effectiveness centered on five major activities; 1) rotary screw traps (juvenile outmigration, natural-origin smolt PIT tagging) 2) beach seine (naturalorigin smolt PIT tagging) 3) lower Okanogan adult fish pilot weir (adult escapement, proportion of hatchery-origin spawners [pHOS], broodstock) 4) spawning ground surveys (redd and carcass surveys)(viable salmonid population [VSP] parameters) 5) eDNA collection (VSP parameter—distribution/spatial structure).
Adult summer/fall Chinook spawning escapement in 2013 was estimated to be 8,193, with more than 6,227 natural-origin spawners, which exceeded the recent five year and long term averages. The values for pHOS (0.24) and proportion of natural influence (PNI) (0.79) in 2013 exceeded the objectives (0.67), but the five year averages fell short of the goals (0.39 and 0.62, respectively).
An Annual Program Review (APR) was held in March, 2014 to share hatchery production and monitoring data, review the salmon forecast for the upcoming year, and develop action plans for the hatchery, selective harvest, and monitoring projects. Based on a strong pre-season forecast of 67,500 Upper Columbia summer/fall Chinook, the plan for 2014 is to operate the hatchery at full program levels of 2 million summer/fall Chinook and 900,000 spring Chinook. To maximize PNI, broodstock for the integrated program should Chief Joseph Hatchery Program 2013 Annual Report 3 be 100% natural-origin broodstock (NOB) and CCT should plan to harvest their full allocation with the selective harvest program removing as many adult hatchery Chinook as possible with the purse seine, the weir, and at the hatchery ladder.
","language":"English","publisher":"Colville Confederated Tribes Fish and Wildlife Program","usgsCitation":"Baldwin, C., Pearl, A., Laramie, M., Rohrback, J., Phillips, P., and Wolf, K., 2016, The Chief Joseph Hatchery Program 2013 Annual Report, 148 p.","productDescription":"148 p.","ipdsId":"IP-057557","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":340197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340196,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.cct-fnw.com/reports/"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ff0e9de4b006455f2d61be","contributors":{"authors":[{"text":"Baldwin, Casey","contributorId":178155,"corporation":false,"usgs":false,"family":"Baldwin","given":"Casey","affiliations":[],"preferred":false,"id":692632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearl, Andrea","contributorId":178154,"corporation":false,"usgs":false,"family":"Pearl","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":692633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laramie, Matthew 0000-0001-7820-2583 mlaramie@usgs.gov","orcid":"https://orcid.org/0000-0001-7820-2583","contributorId":152532,"corporation":false,"usgs":true,"family":"Laramie","given":"Matthew","email":"mlaramie@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":589651,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rohrback, John","contributorId":178156,"corporation":false,"usgs":false,"family":"Rohrback","given":"John","email":"","affiliations":[],"preferred":false,"id":692634,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Phillips, Pat","contributorId":178157,"corporation":false,"usgs":false,"family":"Phillips","given":"Pat","email":"","affiliations":[],"preferred":false,"id":692635,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wolf, Keith","contributorId":147874,"corporation":false,"usgs":false,"family":"Wolf","given":"Keith","affiliations":[],"preferred":false,"id":692636,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70162313,"text":"70162313 - 2016 - Does urban sprawl hold down upward mobility?","interactions":[],"lastModifiedDate":"2016-07-11T15:46:08","indexId":"70162313","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"Does urban sprawl hold down upward mobility?","docAbstract":"Contrary to the general perception, the United States has a much more class-bound society than other wealthy countries. The chance of upward mobility for Americans is just half that of the citizens of the Denmark and many other European countries. In addition to other influences, the built environment may contribute to the low rate of upward mobility in the U.S. This study tests the relationship between urban sprawl and upward mobility for commuting zones in the U.S. We examine potential pathways through which sprawl may have an effect on mobility. We use structural equation modeling to account for both direct and indirect effects of sprawl on upward mobility. We find that upward mobility is significantly higher in compact areas than sprawling areas. The direct effect, which we attribute to better job accessibility in more compact commuting zones, is stronger than the indirect effects. Of the indirect effects, only one, through the mediating variable income segregation, is significant.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.landurbplan.2015.11.012","collaboration":"Ewing, R. University of Utah; Shima Hamidi, University of Utah","usgsCitation":"Ewing, R., Hamidi, S., Grace, J.B., and Wei, Y., 2016, Does urban sprawl hold down upward mobility?: Landscape and Urban Planning, v. 148, p. 80-88, https://doi.org/10.1016/j.landurbplan.2015.11.012.","productDescription":"9 p.","startPage":"80","endPage":"88","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057604","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":471096,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.landurbplan.2015.11.012","text":"Publisher Index Page"},{"id":314696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"148","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56a360bbe4b0b28f1183bbef","contributors":{"authors":[{"text":"Ewing, R.","contributorId":69947,"corporation":false,"usgs":true,"family":"Ewing","given":"R.","affiliations":[],"preferred":false,"id":589208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamidi, Shima","contributorId":30909,"corporation":false,"usgs":true,"family":"Hamidi","given":"Shima","affiliations":[],"preferred":false,"id":589209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":589207,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wei, Y.","contributorId":9502,"corporation":false,"usgs":true,"family":"Wei","given":"Y.","email":"","affiliations":[],"preferred":false,"id":589461,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70194315,"text":"70194315 - 2016 - Isotopic incorporation and the effects of fasting and dietary lipid content on isotopic discrimination in large carnivorous mammals","interactions":[],"lastModifiedDate":"2017-11-22T11:36:42","indexId":"70194315","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3075,"text":"Physiological and Biochemical Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Isotopic incorporation and the effects of fasting and dietary lipid content on isotopic discrimination in large carnivorous mammals","docAbstract":"There has been considerable emphasis on understanding isotopic discrimination for diet estimation in omnivores. However, discrimination may differ for carnivores, particularly species that consume lipid-rich diets. Here, we examined the potential implications of several factors when using stable isotopes to estimate the diets of bears, which can consume lipid-rich diets and, alternatively, fast for weeks to months. We conducted feeding trials with captive brown bears (Ursus arctos) and polar bears (Ursus maritimus). As dietary lipid content increased to ∼90%, we observed increasing differences between blood plasma and diets that had not been lipid extracted (∆13Ctissue-bulk diet) and slightly decreasing differences between plasma δ13C and lipid-extracted diet. Plasma Δ15Ntissue-bulk diet increased with increasing protein content for the four polar bears in this study and data for other mammals from previous studies that were fed purely carnivorous diets. Four adult and four yearling brown bears that fasted 120 d had plasma δ15N values that changed by <±2‰. Fasting bears exhibited no trend in plasma δ13C. Isotopic incorporation in red blood cells and whole blood was ≥6 mo in subadult and adult bears, which is considerably longer than previously measured in younger and smaller black bears (Ursus americanus). Our results suggest that short-term fasting in carnivores has minimal effects on δ13C and δ15N discrimination between predators and their prey but that dietary lipid content is an important factor directly affecting δ13C discrimination and indirectly affecting δ15N discrimination via the inverse relationship with dietary protein content.
","language":"English","publisher":"The University of Chicago Press","doi":"10.1086/686490","usgsCitation":"Rode, K.D., Stricker, C.A., Erlenbach, J., Robbins, C.T., Cherry, S., Newsome, S.D., Cutting, A., Jensen, S., Stenhouse, G., Brooks, M., Hash, A., and Nicassio, N., 2016, Isotopic incorporation and the effects of fasting and dietary lipid content on isotopic discrimination in large carnivorous mammals: Physiological and Biochemical Zoology, v. 89, no. 3, p. 182-197, https://doi.org/10.1086/686490.","productDescription":"16 p.","startPage":"182","endPage":"197","ipdsId":"IP-064971","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":438622,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F79W0CJ3","text":"USGS data release","linkHelpText":"Stable Isotope Data from Diets and Tissues of Captive Bears Fed Experimental Diets"},{"id":349267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd5ae4b06e28e9c24b97","contributors":{"authors":[{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":723247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":723248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erlenbach, Joy","contributorId":200750,"corporation":false,"usgs":false,"family":"Erlenbach","given":"Joy","affiliations":[],"preferred":false,"id":723249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robbins, Charles T.","contributorId":124585,"corporation":false,"usgs":false,"family":"Robbins","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":5127,"text":"Washington State University, P.O. Box 644236, Pullman, WA 99164","active":true,"usgs":false}],"preferred":false,"id":723250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cherry, Seth","contributorId":200753,"corporation":false,"usgs":false,"family":"Cherry","given":"Seth","email":"","affiliations":[],"preferred":false,"id":723254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newsome, Seth D.","contributorId":81640,"corporation":false,"usgs":false,"family":"Newsome","given":"Seth","email":"","middleInitial":"D.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":723253,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cutting, Amy","contributorId":200751,"corporation":false,"usgs":false,"family":"Cutting","given":"Amy","email":"","affiliations":[],"preferred":false,"id":723251,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jensen, Shannon","contributorId":200752,"corporation":false,"usgs":false,"family":"Jensen","given":"Shannon","affiliations":[],"preferred":false,"id":723252,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stenhouse, Gordon","contributorId":167054,"corporation":false,"usgs":false,"family":"Stenhouse","given":"Gordon","email":"","affiliations":[{"id":24604,"text":"Foothills Research Institute","active":true,"usgs":false}],"preferred":false,"id":723255,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brooks, Matt","contributorId":200754,"corporation":false,"usgs":false,"family":"Brooks","given":"Matt","affiliations":[],"preferred":false,"id":723256,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hash, Amy","contributorId":200755,"corporation":false,"usgs":false,"family":"Hash","given":"Amy","email":"","affiliations":[],"preferred":false,"id":723257,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nicassio, Nicole","contributorId":200756,"corporation":false,"usgs":false,"family":"Nicassio","given":"Nicole","email":"","affiliations":[],"preferred":false,"id":723258,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70179162,"text":"70179162 - 2016 - 2015 National Park visitor spending effects: Economic contributions to local communities, states, and the nation","interactions":[],"lastModifiedDate":"2016-12-20T12:55:05","indexId":"70179162","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NRSS/EQD/NRR—2016/1200","title":"2015 National Park visitor spending effects: Economic contributions to local communities, states, and the nation","docAbstract":"The National Park Service (NPS) manages the Nation’s most iconic destinations that attract millions of visitors from across the Nation and around the world. Trip-related spending by NPS visitors generates and supports a considerable amount of economic activity within park gateway communities. This economic effects analysis measures how NPS visitor spending cycles through local economies, generating business sales and supporting jobs and income.
In 2015, the National Park System received over 307.2 million recreation visits. NPS visitors spent \\$16.9 billion in local gateway regions (defined as communities within 60 miles of a park). The contribution of this spending to the national economy was 295 thousand jobs, \\$11.1 billion in labor income, \\$18.4 billion in value added, and \\$32.0 billion in economic output. The lodging sector saw the highest direct contributions with \\$5.2 billion in economic output directly contributed to local gateway economies nationally. The sector with the next greatest direct contributions was the restaurants and bar sector, with \\$3.4 billion in economic output directly contributed to local gateway economies nationally.
Results from the Visitor Spending Effects report series are available online via an interactive tool. Users can view year-by-year trend data and explore current year visitor spending, jobs, labor income, value added, and economic output effects by sector for national, state, and local economies. This interactive tool is available at http://go.nps.gov/vse.
","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Cullinane Thomas, C., and Koontz, L., 2016, 2015 National Park visitor spending effects: Economic contributions to local communities, states, and the nation: Natural Resource Report NPS/NRSS/EQD/NRR—2016/1200, v, 53 p.","productDescription":"v, 53 p.","numberOfPages":"62","ipdsId":"IP-074337","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":332338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":332309,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/subjects/socialscience/vse.htm"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585a51bee4b01224f329b5eb","contributors":{"authors":[{"text":"Cullinane Thomas, Catherine M. 0000-0001-8168-1271 ccullinanethomas@usgs.gov","orcid":"https://orcid.org/0000-0001-8168-1271","contributorId":5281,"corporation":false,"usgs":true,"family":"Cullinane Thomas","given":"Catherine M.","email":"ccullinanethomas@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":656250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koontz, Lynne koontzl@usgs.gov","contributorId":2174,"corporation":false,"usgs":false,"family":"Koontz","given":"Lynne","email":"koontzl@usgs.gov","affiliations":[{"id":7016,"text":"Environmental Quality Division, National Park Service, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":656251,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70178868,"text":"70178868 - 2016 - Increased temperatures combined with lowered salinities differentially impact oyster size class growth and mortality","interactions":[],"lastModifiedDate":"2016-12-09T15:46:38","indexId":"70178868","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2455,"text":"Journal of Shellfish Research","active":true,"publicationSubtype":{"id":10}},"title":"Increased temperatures combined with lowered salinities differentially impact oyster size class growth and mortality","docAbstract":"Changes in the timing and interaction of seasonal high temperatures and low salinities as predicted by climate change models could dramatically alter oyster population dynamics. Little is known explicitly about how low salinity and high temperature combinations affect spat (<25mm), seed (25–75mm), andmarket (>75mm) oyster growth and mortality. Using field and laboratory studies, this project quantified the combined effects of extremely low salinities (<5) and high temperatures (>30°C) on growth and survival of spat, seed, andmarket-sized oysters. In 2012 and 2013, hatchery-produced oysters were placed in open and closed cages at three sites in Breton Sound, LA, along a salinity gradient that typically ranged from 5 to 20. Growth and mortality were recorded monthly. Regardless of size class, oysters at the lowest salinity site (annualmean = 4.8) experienced significantly highermortality and lower growth than oysters located in higher salinity sites (annual means = 11.1 and 13.0, respectively); furthermore, all oysters in open cages at the two higher salinity sites experienced higher mortality than in closed cages, likely due to predation. To explicitly examine oyster responses to extreme low salinity and high temperature combinations, a series of laboratory studies were conducted. Oysters were placed in 18 tanks in a fully crossed temperature (25°C, 32°C) by salinity (1, 5, and 15) study with three replicates, and repeated at least twice for each oyster size class. Regardless of temperature, seed and market oysters held in low salinity tanks (salinity 1) experienced 100% mortality within 7 days. In contrast, at salinity 5, temperature significantly affected mortality; oysters in all size classes experienced greater than 50%mortality at 32°C and less than 40%mortality at 25°C. At the highest salinity tested (15), only market-sized oysters held at 32°C experienced significant mortality (>60%). These studies demonstrate that high water temperatures (>30°C) and low salinities (<5) negatively impact oyster growth and survival differentially and that high temperatures alone may negatively impact market-sized oysters. It is critical to understand the potential impacts of climate and anthropogenic changes on oyster resources to better adapt and manage for long-term sustainability.
","language":"English","publisher":"National Shellfisheries Association","doi":"10.2983/035.035.0112","usgsCitation":"LaPeyre, M.K., Rybovich, M., Hall, S., and La Peyre, J.F., 2016, Increased temperatures combined with lowered salinities differentially impact oyster size class growth and mortality: Journal of Shellfish Research, v. 35, no. 1, p. 101-113, https://doi.org/10.2983/035.035.0112.","productDescription":"13 p.","startPage":"101","endPage":"113","ipdsId":"IP-070396","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":331826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","city":"Breton Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.9945068359375,\n 29.501768632523262\n ],\n [\n -89.9945068359375,\n 29.878755346037977\n ],\n [\n -89.39849853515625,\n 29.878755346037977\n ],\n [\n -89.39849853515625,\n 29.501768632523262\n ],\n [\n -89.9945068359375,\n 29.501768632523262\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584bd0dfe4b077fc20250e12","contributors":{"authors":[{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":655385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rybovich, Molly","contributorId":177344,"corporation":false,"usgs":false,"family":"Rybovich","given":"Molly","email":"","affiliations":[],"preferred":false,"id":655401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, Steven G.","contributorId":177345,"corporation":false,"usgs":false,"family":"Hall","given":"Steven G.","affiliations":[],"preferred":false,"id":655402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"La Peyre, Jerome F.","contributorId":34697,"corporation":false,"usgs":true,"family":"La Peyre","given":"Jerome","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":655403,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}