The effectiveness of agricultural conservation programmes to adequately reduce nutrient exports to receiving streams and to help limit downstream hypoxia issues remains a concern. Quantifying programme success can be difficult given that short-term basin changes may be masked by long-term water-quality shifts. We evaluated nutrient export at stream sites in the 44 months that followed a period of increased, integrated conservation implementation within the Lower Grand River Basin. These short-term responses were then compared with export that occurred in the main stem and adjacent rivers in northern Missouri over a 22-year period to better contextualize any recent changes. Results indicate that short-term (October 2010 through May 2014) total nitrogen (TN) concentrations in the Grand River were 20% less than the long-term average, and total phosphorus (TP) concentrations were 23% less. Nutrient reductions in the short term were primarily the result of the less-than-average precipitation and, consequently, streamflow that was 36% below normal. Therefore, nutrient concentrations measured in tributary streams were likely less than normal during the implementation period. Northern Missouri streamflow-normalized TN concentrations remained relatively flat or declined over the period 1991 through 2013 likely because available sources of nitrogen, determined as the sum of commercial fertilizers, available animal manures and atmospheric inputs, were typically less than crop requirement for much of that time frame. Conversely, flow-normalized stream TP concentrations increased over the past 22 years in northern Missouri streams, likely in response to many years of phosphorus inputs in excess of crop requirements. Stream nutrient changes were most pronounced during periods that coincided with the major tillage, planting and growth phases of row crops and increased streamflow. Nutrient reduction strategies targeted at the period February through June would likely have the greatest impact on reducing nutrient export from the basin. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"John Wiley & Sons","publisherLocation":"Chichester, West Sussex, UK","doi":"10.1002/rra.2887","collaboration":"Missouri Department of Natural Resources","usgsCitation":"Wilkison, D.H., and Armstrong, D., 2016, Water-quality assessment of the Lower Grand River Basin, Missouri and Iowa, USA, in support of integrated conservation practices: River Research and Applications, v. 32, no. 4, p. 583-596, https://doi.org/10.1002/rra.2887.","productDescription":"14 p.","startPage":"583","endPage":"596","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059431","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":299932,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-15","publicationStatus":"PW","scienceBaseUri":"5540af2ee4b0a658d79392b4","contributors":{"authors":[{"text":"Wilkison, Donald H. wilkison@usgs.gov","contributorId":3824,"corporation":false,"usgs":true,"family":"Wilkison","given":"Donald","email":"wilkison@usgs.gov","middleInitial":"H.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Armstrong, Daniel J. armstron@usgs.gov","contributorId":3823,"corporation":false,"usgs":true,"family":"Armstrong","given":"Daniel J.","email":"armstron@usgs.gov","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545711,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70145184,"text":"70145184 - 2016 - Assessing juvenile native fish demographic responses to a steady flow experiment in a large regulated river","interactions":[],"lastModifiedDate":"2016-04-21T10:42:39","indexId":"70145184","displayToPublicDate":"2015-03-12T13:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Assessing juvenile native fish demographic responses to a steady flow experiment in a large regulated river","docAbstract":"The Colorado River below Glen Canyon Dam, Arizona, is part of an adaptive management programme which optimizes dam operations to improve various resources in the downstream ecosystem within Grand Canyon. Understanding how populations of federally endangered humpback chub Gila cypha respond to these dam operations is a high priority. Here, we test hypotheses concerning temporal variation in juvenile humpback chub apparent survival rates and abundance by comparing estimates between hydropeaking and steady discharge regimes over a 3-year period (July 2009–July 2012). The most supported model ignored flow type (steady vs hydropeaking) and estimated a declining trend in daily apparent survival rate across years (99.90%, 99.79% and 99.67% for 2009, 2010 and 2011, respectively). Corresponding abundance of juvenile humpback chub increased temporally; open population model estimates ranged from 615 to 2802 individuals/km, and closed model estimates ranged from 94 to 1515 individuals/km. These changes in apparent survival and abundance may reflect broader trends, or simply represent inter-annual variation. Important findings include (i) juvenile humpback chub are currently surviving and recruiting in the mainstem Colorado River with increasing abundance; (ii) apparent survival does not benefit from steady fall discharges from Glen Canyon Dam; and (iii) direct assessment of demographic parameters for juvenile endangered fish are possible and can rapidly inform management actions in regulated rivers.
","language":"English","publisher":"John Wiley & Sons","publisherLocation":"Chichester, West Sussex, UK","doi":"10.1002/rra.2893","usgsCitation":"Finch, C.G., Pine, W., Yackulic, C.B., Dodrill, M.J., Yard, M., Gerig, B.S., Coggins, and Korman, J., 2016, Assessing juvenile native fish demographic responses to a steady flow experiment in a large regulated river: River Research and Applications, v. 32, no. 4, p. 763-775, https://doi.org/10.1002/rra.2893.","productDescription":"13 p.","startPage":"763","endPage":"775","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053210","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":299383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":299381,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/rra.2893/abstract"}],"volume":"32","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-12","publicationStatus":"PW","scienceBaseUri":"5523ae31e4b027f0aee3d125","contributors":{"authors":[{"text":"Finch, Colton G.","contributorId":140061,"corporation":false,"usgs":false,"family":"Finch","given":"Colton","email":"","middleInitial":"G.","affiliations":[{"id":13371,"text":"Dep. of Wildlife Ecology Uni Florida","active":true,"usgs":false}],"preferred":false,"id":544071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pine, William E. III","contributorId":56759,"corporation":false,"usgs":true,"family":"Pine","given":"William E.","suffix":"III","affiliations":[],"preferred":false,"id":544072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":544070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dodrill, Michael J. 0000-0002-7038-7170 mdodrill@usgs.gov","orcid":"https://orcid.org/0000-0002-7038-7170","contributorId":5468,"corporation":false,"usgs":true,"family":"Dodrill","given":"Michael","email":"mdodrill@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":544074,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yard, Michael D. 0000-0002-6580-6027 myard@usgs.gov","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":2889,"corporation":false,"usgs":true,"family":"Yard","given":"Michael D.","email":"myard@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":544073,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gerig, Brandon S.","contributorId":140062,"corporation":false,"usgs":false,"family":"Gerig","given":"Brandon","email":"","middleInitial":"S.","affiliations":[{"id":13372,"text":"Uni. 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This area is known as the interior delta, and it has been associated with poor fish survival. Under the rationale that the fish will be diverted in proportion to the amount of water that is diverted, the Delta Cross Channel (DCC) has been prescriptively closed during the winter out-migration to reduce fish entrainment and mortality into the interior delta. The fish are thought to migrate mostly at night, and so daytime operation of the DCC may allow for water diversion that minimizes fish entrainment and mortality. To assess this, the DCC gate was experimentally opened and closed while we released 2983 of the fish with acoustic transmitters upstream of the DCC to monitor their arrival and entrainment into the DCC. We used logistic regression to model night-time arrival and entrainment probabilities with covariates that included the proportion of each diel period with upstream flow, flow, rate of change in flow and water temperature. The proportion of time with upstream flow was the most important driver of night-time arrival probability, yet river flow had the largest effect on fish entrainment into the DCC. Modelling results suggest opening the DCC during daytime while keeping the DCC closed during night-time may allow for water diversion that minimizes fish entrainment into the interior delta.
","language":"English","publisher":"John Wiley & Sons","doi":"10.1002/rra.2885","usgsCitation":"Plumb, J.M., Adams, N.S., Perry, R.W., Holbrook, C., Romine, J.G., Blake, A.R., and Burau, J.R., 2016, Diel activity patterns of juvenile late fall-run Chinook salmon with implications for operation of a gated water diversion in the Sacramento–San Joaquin River Delta: River Research and Applications, v. 32, no. 4, p. 711-720, https://doi.org/10.1002/rra.2885.","productDescription":"10 p.","startPage":"711","endPage":"720","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062660","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":298619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298586,"type":{"id":15,"text":"Index 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that has attracted increasing attention from ornithologists. The inclusion of new concepts applicable to nest predation that stem from social information, eavesdropping or physiology has expanded our knowledge considerably. Recent methodological advancements now allow focus on all three players within nest predation interactions: adults, offspring and predators. Indeed, the study of nest predation now forms a vital part of avian research in several fields, including animal behaviour, population ecology, evolution and conservation biology. However, within nest predation research there are important aspects that require further development, such as the comparison between ecological and evolutionary antipredator responses, and the role of anthropogenic change. We hope this review of recent findings and the presentation of new research avenues will encourage researchers to study this important and interesting selective pressure, and ultimately will help us to better understand the biology of birds.
","language":"English","publisher":"Springer Link","publisherLocation":"New York, New York","doi":"10.1007/s10336-015-1207-4","issn":"2193-7192","usgsCitation":"Chalfoun, A.D., Ibanez-Alamo, J.D., Magrath, R.D., Schmidt, K.A., Thomson, R.L., Oteyza, J.C., Haff, T.M., and Martin, T.E., 2016, Nest predation research: Recent findings and future perspectives: Journal of Ornithology, v. 156, no. 1, p. 247-262, https://doi.org/10.1007/s10336-015-1207-4.","productDescription":"16 p.","startPage":"247","endPage":"262","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061780","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471474,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10336-015-1207-4","text":"Publisher Index Page"},{"id":324268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"156","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-18","publicationStatus":"PW","scienceBaseUri":"576bb6b9e4b07657d1a22915","contributors":{"authors":[{"text":"Chalfoun, Anna D. achalfoun@usgs.gov","contributorId":3735,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":638149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ibanez-Alamo, J. 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Creation of shallow-water habitats is used as a restoration technique in response to altered conditions in several studies globally, but only recently in the USA. In the summer of 2012, the U.S. Army Corps of Engineers sampled larval and juvenile fishes at six paired sites (mainstem and constructed chute shallow-water habitats) along a section of the Missouri River between Rulo, NE and St. Louis, MO, USA. From those samples, we enumerated and identified a total of 7622 fishes representing 12 families. Community responses of fishes to created shallow-water habitats were assessed by comparisons of species richness and diversity measures between paired sites and among sampling events. Shannon entropy measures were transformed, and gamma diversity (total diversity) was partitioned into two components, alpha (within community) and beta (between community) diversity using a multiplicative decomposition method. Mantel test results suggest site location, time of sampling event and habitat type were drivers of larval and juvenile community structure. Paired t-test results indicated little to no differences in beta diversity between habitat types; however, chute habitats had significantly higher alpha and gamma diversity as well as increased abundances of Asian carp larvae when compared with mainstem shallow-water habitat. Our results not only show the importance of created shallow-water habitat in promoting stream fish diversity but also highlight the role space and time may play in future restoration and management efforts.
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BI stems from losses of building function, productivity of agricultural land, and lifeline services. A dynamic computable general equilibrium model of the California economy is developed to perform this economic consequence analysis. Economic resilience in the form of input and import substitution is inherent in the model’s equilibrium solution, and the model parameterization is adjusted to reflect other forms of resilience such as production recapture. Varying assumptions about the timing and source of funds for reconstruction results in a range of recovery paths. Five years after the storm, flood-induced building damage is the overwhelming source of gross domestic product (GDP) losses, timely and partially externally funded reconstruction mitigates impacts by approximately 50%, and the economy is not guaranteed to return to its baseline GDP trajectory. The methodology serves as a template for assessing the macroeconomic consequences of disasters and the influence of resilience in reducing BI losses.
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In this paper, we mapped hot and cold spots for perceived and modeled ecosystem services by synthesizing results from a social-values mapping study of residents living near the Pike–San Isabel National Forest (PSI), located in the Southern Rocky Mountains, with corresponding biophysically modeled ecosystem services. Social-value maps for the PSI were developed using the Social Values for Ecosystem Services tool, providing statistically modeled continuous value surfaces for 12 value types, including aesthetic, biodiversity, and life-sustaining values. Biophysically modeled maps of carbon sequestration and storage, scenic viewsheds, sediment regulation, and water yield were generated using the Artificial Intelligence for Ecosystem Services tool. Hotspots for both perceived and modeled services were disproportionately located within the PSI’s wilderness areas. Additionally, we used regression analysis to evaluate spatial relationships between perceived biodiversity and cultural ecosystem services and corresponding biophysical model outputs. Our goal was to determine whether publicly valued locations for aesthetic, biodiversity, and life-sustaining values relate meaningfully to results from corresponding biophysical ecosystem service models. We found weak relationships between perceived and biophysically modeled services, indicating that public perception of ecosystem service provisioning regions is limited. We believe that biophysical and social approaches to ecosystem service mapping can serve as methodological complements that can advance ecosystem services-based resource management, benefitting resource managers by showing potential locations of synergy or conflict between areas supplying ecosystem services and those valued by the public.
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Natural attenuation relies on biodegradation of hydrocarbons coupled with reduction of electron acceptors, including solid phase ferric iron (Fe(III)). Because arsenic (As) adsorbs to Fe-hydroxides, a potential secondary effect of natural attenuation of hydrocarbons coupled with Fe(III) reduction is a release of naturally occurring As to groundwater. At a crude-oil-contaminated aquifer near Bemidji, Minnesota, anaerobic biodegradation of hydrocarbons coupled to Fe(III) reduction has been well documented. We collected groundwater samples at the site annually from 2009 to 2013 to examine if As is released to groundwater and, if so, to document relationships between As and Fe inside and outside of the dissolved hydrocarbon plume. Arsenic concentrations in groundwater in the plume reached 230 µg/L, whereas groundwater outside the plume contained less than 5 µg/L As. Combined with previous data from the Bemidji site, our results suggest that (1) naturally occurring As is associated with Fe-hydroxides present in the glacially derived aquifer sediments; (2) introduction of hydrocarbons results in reduction of Fe-hydroxides, releasing As and Fe to groundwater; (3) at the leading edge of the plume, As and Fe are removed from groundwater and retained on sediments; and (4) downgradient from the plume, patterns of As and Fe in groundwater are similar to background. We develop a conceptual model of secondary As release due to natural attenuation of hydrocarbons that can be applied to other sites where an influx of biodegradable organic carbon promotes Fe(III) reduction.
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During 2010, 2011 and 2012 breeding periods, a total of 20 adult females used habitats proximal to nesting beaches with various levels of protection within Dry Tortugas National Park. We then used a rapid, high-resolution, digital imaging system to map habitat adjacent to nesting beaches, revealing the diversity and distribution of available benthic cover. Turtle behaviour showing measurable site-fidelity to these diverse habitats has implications for managing protected areas and human activities within them. Protecting diverse benthic areas adjacent to loggerhead turtle nesting beaches here and elsewhere could provide benefits for overall biodiversity conservation.
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These intrinsic rates are thought to affect adult mortality probability and longevity. However, if proximate extrinsic factors (e.g., temperature, food) influence development rates differently between stages and yield low covariance between stages, then development rates may not explain adult mortality probability. We examined these issues based on study of 90 songbird species on four continents to capture the diverse life-history strategies observed across geographic space. The length of the embryonic period explained little variation (ca. 13%) in nestling periods and growth rates among species. This low covariance suggests that the relative importance of intrinsic and extrinsic influences on growth and development rates differs between stages. Consequently, nestling period durations and nestling growth rates were not related to annual adult mortality probability among diverse songbird species within or among sites. The absence of a clear effect of faster growth on adult mortality when examined in an evolutionary framework across species may indicate that species that evolve faster growth also evolve physiological mechanisms for ameliorating costs on adult mortality. Instead, adult mortality rates of species in the wild may be determined more strongly by extrinsic environmental causes.
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","language":"English","publisher":"John Wiley & Sons, Ltd.","publisherLocation":"Chichester, West Sussex, UK","doi":"10.1002/rra.2857","usgsCitation":"Kenow, K.P., Benjamin, G., Schlagenhaft, T., Nissen, R., Stefanski, M., Wege, G., Jutila, S.A., and Newton, T.J., 2016, Process, policy, and implementation of pool-wide drawdowns on the Upper Mississippi River: a promising approach for ecological restoration of large impounded rivers: River Research and Applications, v. 32, no. 3, p. 295-308, https://doi.org/10.1002/rra.2857.","productDescription":"14 p.","startPage":"295","endPage":"308","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054219","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":309715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-15","publicationStatus":"PW","scienceBaseUri":"56164258e4b0ba4884c614b0","chorus":{"doi":"10.1002/rra.2857","url":"http://dx.doi.org/10.1002/rra.2857","publisher":"Wiley-Blackwell","authors":"Kenow K. 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Army Corps of Engineers, St. Paul District","active":true,"usgs":false}],"preferred":false,"id":576870,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Newton, Teresa J. 0000-0001-9351-5852 tnewton@usgs.gov","orcid":"https://orcid.org/0000-0001-9351-5852","contributorId":2470,"corporation":false,"usgs":true,"family":"Newton","given":"Teresa","email":"tnewton@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":576871,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70140637,"text":"70140637 - 2016 - Agricultural damages and losses from ARkStorm scenario flooding in California","interactions":[],"lastModifiedDate":"2018-08-10T16:04:41","indexId":"70140637","displayToPublicDate":"2015-01-09T13:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2823,"text":"Natural Hazards Review","active":true,"publicationSubtype":{"id":10}},"title":"Agricultural damages and losses from ARkStorm scenario flooding in California","docAbstract":"Scientists designed the ARkStorm scenario to challenge the preparedness of California communities for widespread flooding with a historical precedence and increased likelihood under climate change. California is an important provider of vegetables, fruits, nuts, and other agricultural products to the nation. This study analyzes the agricultural damages and losses pertaining to annual crops, perennial crops, and livestock in California exposed to ARkStorm flooding. Statewide, flood damage is incurred on approximately 23% of annual crop acreage, 5% of perennial crop acreage, and 5% of livestock, e.g., dairy, feedlot, and poultry, acreage. The sum of field repair costs, forgone income, and product replacement costs span \\$3.7 and \\$7.1 billion (2009) for a range of inundation durations. Perennial crop loss estimates dominate, and the vulnerability of orchards and vineyards has likely increased with recent expansion. Crop reestablishment delays from levee repair and dewatering more than double annual crop losses in the delta islands, assuming the fragile system does not remain permanently flooded. The exposure of almost 200,000 dairy cows to ARkStorm flooding poses livestock evacuation challenges.
The Intergovernmental Panel on Climate Change has identified ocean acidification as a critical threat to marine and estuarine species in ocean and coastal ecosystems around the world. However, seagrasses are projected to benefit from elevated atmospheric pCO2, are capable of increasing seawater pH and carbonate mineral saturation states through photosynthesis, and may help buffer against the chemical impacts of ocean acidification. Additionally, dissolution of carbonate sediments may also provide a mechanism for buffering seawater pH. Long-term water quality monitoring data from the Environmental Protection Commission of Hillsborough County indicates that seawater pH has risen since the 1980‘s as seagrass beds have continued to recover since that time. We examined the role of seagrass beds in maintaining and elevating pH and carbonate mineral saturation state in northern and southern Tampa Bay where the percent of carbonate sediments is low (<3%) and high (>40%), respectively. Basic water quality and carbonate system parameters (including pH, total alkalinity, dissolved inorganic carbon, partial pressure of CO2, and carbonate mineral saturation state) were measured over diurnal time periods along transects (50-100 m) including dense and sparse Thalassia testudinum. seagrass beds, deep edge seagrass, and adjacent bare sand bottom. Seagrass density and productivity, sediment composition and hydrodynamic parameters were also measured, concurrently. Results indicate that seagrass beds locally elevate pH by up to 0.5 pH unit and double carbonate mineral saturation states relative to bare sand habitats. Thus, seagrass beds in Tampa Bay may provide refuge for marine organisms from the impacts of ocean acidification.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings, Tampa Bay Area Scientific Information Symposium, BASIS 6","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Tampa Bay Area Scientific Information Symposium, BASIS 6","conferenceDate":"September 28-30, 2015","conferenceLocation":"St. Petersburg, FL","language":"English","publisher":"Tampa Bay Estuary Program","usgsCitation":"Yates, K.K., Moyer, R.P., Moore, C., Tomasko, D.A., Smiley, N., Torres-Garcia, L.M., Powell, C.E., Chappel, A.R., and Bociu, I., 2016, Ocean acidification buffering effects of seagrass in Tampa Bay, in Proceedings, Tampa Bay Area Scientific Information Symposium, BASIS 6, St. Petersburg, FL, September 28-30, 2015, p. 273-284.","productDescription":"12 p.","startPage":"273","endPage":"284","ipdsId":"IP-074854","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science 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A.","contributorId":172728,"corporation":false,"usgs":false,"family":"Tomasko","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":727501,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smiley, Nathan A. 0000-0002-5190-6860 nsmiley@usgs.gov","orcid":"https://orcid.org/0000-0002-5190-6860","contributorId":3907,"corporation":false,"usgs":true,"family":"Smiley","given":"Nathan A.","email":"nsmiley@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":727926,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Torres-Garcia, Legna M. 0000-0002-6786-5944 ltorresgarcia@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-5944","contributorId":196150,"corporation":false,"usgs":true,"family":"Torres-Garcia","given":"Legna","email":"ltorresgarcia@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":727927,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Powell, Christina E.","contributorId":202058,"corporation":false,"usgs":false,"family":"Powell","given":"Christina","email":"","middleInitial":"E.","affiliations":[{"id":36335,"text":"Fish and Wildlife Research Institute","active":true,"usgs":false}],"preferred":false,"id":727928,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chappel, Amanda R.","contributorId":202059,"corporation":false,"usgs":false,"family":"Chappel","given":"Amanda","email":"","middleInitial":"R.","affiliations":[{"id":36335,"text":"Fish and Wildlife Research Institute","active":true,"usgs":false}],"preferred":false,"id":727929,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bociu, Ioana","contributorId":202060,"corporation":false,"usgs":false,"family":"Bociu","given":"Ioana","email":"","affiliations":[{"id":36336,"text":"Fish and Wildlife Research Insititute","active":true,"usgs":false}],"preferred":false,"id":727930,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70140710,"text":"70140710 - 2016 - Survival, growth, and movement of subadult humpback chub, Gila cypha, in the Little Colorado River, Arizona","interactions":[],"lastModifiedDate":"2016-03-10T10:49:48","indexId":"70140710","displayToPublicDate":"2014-12-20T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Survival, growth, and movement of subadult humpback chub, Gila cypha, in the Little Colorado River, Arizona","docAbstract":"Ecologists estimate vital rates, such as growth and survival, to better understand population dynamics and identify sensitive life history parameters for species or populations of concern. Here, we assess spatiotemporal variation in growth, movement, density, and survival of subadult humpback chub living in the Little Colorado River, Grand Canyon, AZ from 2001–2002 and 2009–2013. We divided the Little Colorado River into three reaches and used a multistate mark-recapture model to determine rates of movement and differences in survival and density between sites for different cohorts. Additionally, site-specific and year-specific effects on growth were evaluated using a linear model. Results indicate that summer growth was higher for upstream sites compared with downstream sites. In contrast, there was not a consistent spatial pattern across years in winter growth; however, river-wide winter growth was negatively related to the duration of floods from 1 October to 15 May. Apparent survival was estimated to be lower at the most downstream site compared with the upstream sites; however, this could be because in part of increased emigration into the Colorado River at downstream sites. Furthermore, the 2010 cohort (i.e. fish that are age 1 in 2010) exhibited high apparent survival relative to other years. Movement between reaches varied with year, and some years exhibited preferential upstream displacement. Improving understanding of spatiotemporal effects on age 1 humpback chub survival can help inform current management efforts to translocate humpback chub into new locations and give us a better understanding of the factors that may limit this tributary's carrying capacity for humpback chub.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.2864","usgsCitation":"Dzul, M.C., Yackulic, C.B., Stone, D.M., and Van Haverbeke, D., 2016, Survival, growth, and movement of subadult humpback chub, Gila cypha, in the Little Colorado River, Arizona: River Research and Applications, v. 32, no. 3, p. 373-382, https://doi.org/10.1002/rra.2864.","productDescription":"10 p.","startPage":"373","endPage":"382","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055773","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":297900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Little Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.83258056640625,\n 36.144528857027744\n ],\n [\n -111.83258056640625,\n 36.2265501474709\n ],\n [\n -111.68838500976562,\n 36.2265501474709\n ],\n [\n -111.68838500976562,\n 36.144528857027744\n ],\n [\n -111.83258056640625,\n 36.144528857027744\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-20","publicationStatus":"PW","scienceBaseUri":"54dd2abbe4b08de9379b31b3","contributors":{"authors":[{"text":"Dzul, Maria C. 0000-0002-4798-5930 mdzul@usgs.gov","orcid":"https://orcid.org/0000-0002-4798-5930","contributorId":5469,"corporation":false,"usgs":true,"family":"Dzul","given":"Maria","email":"mdzul@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":540383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":540384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, Dennis M.","contributorId":58237,"corporation":false,"usgs":false,"family":"Stone","given":"Dennis","email":"","middleInitial":"M.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":540385,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Haverbeke, David R.","contributorId":83838,"corporation":false,"usgs":false,"family":"Van Haverbeke","given":"David R.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":540386,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70135781,"text":"ofr20141153 - 2016 - Collaborative Studies for Mercury Characterization in Coal and Coal Combustion Products, Republic of South Africa","interactions":[],"lastModifiedDate":"2016-06-01T07:42:43","indexId":"ofr20141153","displayToPublicDate":"2014-12-17T08:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1153","title":"Collaborative Studies for Mercury Characterization in Coal and Coal Combustion Products, Republic of South Africa","docAbstract":"Mercury (Hg) analyses were obtained for 42 samples of feed coal provided by Eskom, the national electric utility of South Africa, representing all 13 coal-fired power stations operated by Eskom in South Africa. This sampling includes results for three older power stations returned to service starting in the late 2000s. These stations were not sampled in the most recent previous study. Mercury concentrations determined in the present study are similar to or slightly lower than those previously reported, and input Hg for the three stations returned to service is comparable to that for the other 10 power stations. Determination of halogen contents of the 42 feed coals confirms that chlorine contents are generally low, and as such, the extent of Hg self-capture by particulate control devices (PCDs) is rather limited. Eight density separates of a South African Highveld (#4) coal were also provided by Eskom, and these show a strong mineralogical association of Hg (and arsenic) with pyrite. The density separates were used to predict Hg and ash contents of coal products used in South Africa or exported. A suite of 48 paired samples of pulverization-mill feed coal and fly ash collected in a previous (2010) United Nations Environment Programme-sponsored study of emissions from the Duvha and Kendal power stations was obtained for further investigation in the present study. These samples show that in each station, Hg capture varies by boiler unit and confirms that units equipped with fabric filters for air pollution control are much more effective in capturing Hg than those equipped with electrostatic precipitators. Apart from tracking the performance of PCDs individually, changes resulting in improved mercury capture of the Eskom fleet are discussed. These include Hg reduction through coal selection and washing, as well as through optimization of equipment and operational parameters. Operational changes leading to increased mercury capture include increasing mercury adsorption on unburned carbon and minimizing the concentration of sulfuric acid vapor in the flue gas. Equipment options for improving Hg capture include addition of fabric filters, use of halogenated sorbents, and addition of flue gas desulfurization (FGD) scrubbers, listed in order of increasing cost. The capital cost of adding FGD scrubbers to existing plants is probably too high to be justified on the grounds of Hg removal alone. However, if future regulations require reductions in sulfur dioxide emissions, and FGDs are installed to meet these standards, further reduction in Hg emissions will be a co-benefit of this installation.
In this revised version, corrected results for the suite of 42 samples of feed coal and 8 density separates determined by inductively coupled plasma-mass spectrometry (ICP-MS) replace results originally reported in the 2014 version of this report. In many cases, especially for the transition metals, values reported here are lower than those originally reported, and in some cases, the corrected results are less than 50 percent of their original values. Note that results for mercury (Hg) and halogens contained in the original report are unaffected by revisions to ICP-MS data included here. This revised version also includes the following updates: (1) data for selenium, which were not available for inclusion in the original publication, are now provided; (2) results for ICP-MS trace element data are expressed here on a whole-coal dry basis to facilitate comparison with published results for coals elsewhere; and (3) the text has been updated to take into account the U.S. Supreme Court decision of June 29, 2015, which puts on hold implementation of U.S. Environmental Protection Agency Mercury and Air Toxics Standards in the United States.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141153","usgsCitation":"Kolker, Allan, Senior, C.L., and van Alphen, Chris, 2014, Collaborative studies for mercury characterization in coal and coal combustion products, Republic of South Africa (ver. 2.0, May 2016): U.S. Geological Survey Open-File Report 2014–1153, 47 p., https://dx.doi.org/10.3133/ofr20141153.","productDescription":"ix, 47 p.","numberOfPages":"55","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-055869","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":296735,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1153/pdf/ofr20141153.pdf","text":"Report","size":"1.28 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2014-1153"},{"id":296736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2014/1153/images/coverthb1.jpg"},{"id":296734,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1153/index.html","description":"OFR 2014-1153"},{"id":321863,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2014/1153/versionHist.txt","size":"1.60 KB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2014-1153"}],"country":"South Africa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 16.32568359375,\n -34.92197103616377\n ],\n [\n 16.32568359375,\n -22.12635475991967\n ],\n [\n 33.02490234375,\n -22.12635475991967\n ],\n [\n 33.02490234375,\n -34.92197103616377\n ],\n [\n 16.32568359375,\n -34.92197103616377\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1: Originally posted December 15, 2014; Version 2.0 May 31, 2016","contact":"Director, Eastern Energy Resources Science Center
U.S. Geological Survey
956 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
http://energy.usgs.gov/
A decade ago, compactness/sprawl indices were developed for metropolitan areas and counties which have been widely used in health and other research. In this study, we first update the original county index to 2010, then develop a refined index that accounts for more relevant factors, and finally seek to test the relationship between sprawl and traffic crash rates using structural equation modelling. Controlling for covariates, we find that sprawl is associated with significantly higher direct and indirect effects on fatal crash rates. The direct effect is likely due to the higher traffic speeds in sprawling areas, and the indirect effect is due to greater vehicle miles driven in such areas. Conversely, sprawl has negative direct relationships with total crashes and non-fatal injury crashes, and these offset (and sometimes overwhelm) the positive indirect effects of sprawl on both types of crashes through the mediating effect of increased vehicle miles driven. The most likely explanation is the greater prevalence of fender benders and other minor accidents in the low speed, high conflict traffic environments of compact areas, negating the lower vehicle miles travelled per capita in such areas.
","language":"English","publisher":"Sage Journals","publisherLocation":"Beverly Hills, CA","doi":"10.1177/0042098014562331","usgsCitation":"Ewing, R., Hamidi, S., and Grace, J.B., 2016, Urban sprawl as a risk factor in motor vehicle crashes: Urban Studies, v. 53, no. 2, p. 247-266, https://doi.org/10.1177/0042098014562331.","productDescription":"20 p.","startPage":"247","endPage":"266","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059382","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":308176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-08","publicationStatus":"PW","scienceBaseUri":"55fa92d6e4b05d6c4e501ae3","contributors":{"authors":[{"text":"Ewing, Reid","contributorId":106010,"corporation":false,"usgs":true,"family":"Ewing","given":"Reid","affiliations":[],"preferred":false,"id":572457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamidi, Shima","contributorId":30909,"corporation":false,"usgs":true,"family":"Hamidi","given":"Shima","affiliations":[],"preferred":false,"id":572458,"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":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":572456,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176213,"text":"70176213 - 2016 - Aptian ‘Shale Gas’ Prospectivity in the Downdip Mississippi Interior Salt Basin, Gulf Coast, USA","interactions":[],"lastModifiedDate":"2016-09-01T16:02:44","indexId":"70176213","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Aptian ‘Shale Gas’ Prospectivity in the Downdip Mississippi Interior Salt Basin, Gulf Coast, USA","docAbstract":"This study evaluates regional ‘shale gas’ prospectivity of the Aptian section (primarily Pine Island Shale) in the downdip Mississippi Salt Basin (MSB). Previous work by the U.S. Geological Survey estimated a mean undiscovered gas resource of 8.8 trillion cubic feet (TCF) in the chronostratigraphic-equivalent Pearsall Formation in the Maverick Basin of south Texas, where industry has established a moderately successful horizontal gas and liquids play. Wells penetrating the downdip MSB Aptian section at depths of 12,000-15,000 ft were used to correlate formation tops in a 15-well cross-section extending about 200 miles (mi) east-southeastward from Adams Co. to Jackson Co. Legacy cuttings from these wells were analyzed for thermal maturity and source rock quality. Bitumen reflectance (n=53) increases with increasing present-day burial depth in the east-central study area from 1.0% to 1.7%. As the Aptian section shallows in Adams Co. to the west, bitumen Ro values are higher (1.7-2.0%), either from relatively greater heat flux or greater mid-Cenomanian uplift and erosion in this area. Total organic carbon (TOC) content ranges 0.01-1.21 and averages 0.5 wt.% (n=51); pyrolysis output (S2; n=51) averages 0.40 mg HC/g rock, indicating little present-day hydrocarbon-generative potential. Bitumen reflectance is preferred as a thermal maturity parameter as Tmax values are unreliable. Normalized X-ray diffraction (XRD) mineral analyses (n=26) indicate high average clay abundance (53 wt.%) relative to quartz (29%) and carbonate (18%). Mineral content shows a spatial relationship to an Appalachian orogen clastic sediment source, with proximal high clay and quartz and distal high carbonate content. Clastic influx from the Appalachian orogen is confirmed by detrital zircon U-Pb ages with dominant Grenville and Paleozoic components [105 ages from a Rodessa sandstone and 112 ages from a Paluxy (Albian) sandstone]. Preliminary information from fluid inclusion microthermometry (41 aqueous measurements from calcite cements in one argillaceous James Limestone sample) indicates homogenization temperatures (Th) of 120-135°C, consistent with present-day bottom-hole conditions and measured bitumen Ro values towards the western end of the MSB. Downdip in the central MSB, microthermometry (26 aqueous measurements from quartz dust rims in one Paluxy sandstone sample) and measured bitumen Ro values indicate maximum temperatures may have been significantly higher (~25°C) than present-day conditions. High inclusion salinities (15-25 wt.% salt) at both locations suggest interaction of pore fluids with evaporites. Mercury injection capillary pressure (MICP) analyses (n=3) indicate porosity ranges 1.3-2.1% and permeability 0.006-0.02 µD for Pine Island and Rodessa shales. Overall, results from this work indicate generally poor ‘shale gas’ prospectivity compared to other shale reservoirs based primarily on depth, low organic content, low porosity, and high clay content. However, thickness and thermal maturity are appropriate, moderate reservoir pressures are present, and petroleum systems modelling by others has indicated high undiscovered gas potential for the basin as a whole.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Unconventional Resources Technology Conference Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Unconventional Resources Technology Conference","conferenceDate":"August 25-27, 2014","conferenceLocation":"Denver, CO","language":"English","publisher":"Society of Petroleum Engineers","doi":"10.15530/urtec-2014-1922696","usgsCitation":"Hackley, P.C., Valentine, B.J., Enomoto, C.B., Lohr, C., Scott, K., Dulong, F.T., and Bove, A.M., 2016, Aptian ‘Shale Gas’ Prospectivity in the Downdip Mississippi Interior Salt Basin, Gulf Coast, USA, in Unconventional Resources Technology Conference Proceedings, Denver, CO, August 25-27, 2014, 9 p., https://doi.org/10.15530/urtec-2014-1922696.","productDescription":"9 p.","ipdsId":"IP-056651","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":328199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c9512ae4b0f2f0cec15bdb","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":647821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":647822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enomoto, Catherine B. 0000-0002-4119-1953 cenomoto@usgs.gov","orcid":"https://orcid.org/0000-0002-4119-1953","contributorId":2126,"corporation":false,"usgs":true,"family":"Enomoto","given":"Catherine","email":"cenomoto@usgs.gov","middleInitial":"B.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":647823,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lohr, Celeste D. 0000-0001-6287-9047 clohr@usgs.gov","orcid":"https://orcid.org/0000-0001-6287-9047","contributorId":3866,"corporation":false,"usgs":true,"family":"Lohr","given":"Celeste D.","email":"clohr@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":647824,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scott, Krystina R.","contributorId":174239,"corporation":false,"usgs":false,"family":"Scott","given":"Krystina R.","affiliations":[{"id":27398,"text":"Former EERSC student hire","active":true,"usgs":false}],"preferred":false,"id":647825,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dulong, Frank T. 0000-0001-7388-647X fdulong@usgs.gov","orcid":"https://orcid.org/0000-0001-7388-647X","contributorId":650,"corporation":false,"usgs":true,"family":"Dulong","given":"Frank","email":"fdulong@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":647826,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bove, Alana M. above@usgs.gov","contributorId":4987,"corporation":false,"usgs":true,"family":"Bove","given":"Alana","email":"above@usgs.gov","middleInitial":"M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":647827,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70134239,"text":"70134239 - 2016 - Atlantic salmon, Salmo salar L. are broadly susceptible to isolates representing the North American genogroups of infectious hematopoietic necrosis virus","interactions":[],"lastModifiedDate":"2015-12-14T13:26:46","indexId":"70134239","displayToPublicDate":"2014-11-07T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Atlantic salmon, Salmo salar L. are broadly susceptible to isolates representing the North American genogroups of infectious hematopoietic necrosis virus","docAbstract":"Beginning in 1992, three epidemic waves of infectious hematopoietic necrosis, often with high mortality, occurred in farmed Atlantic salmon Salmo salar L. on the west coast of North America. We compared the virulence of eleven strains of infectious hematopoietic necrosis virus (IHNV), representing the U, M and L genogroups, in experimental challenges of juvenile Atlantic salmon in freshwater. All strains caused mortality and there was wide variation within genogroups: cumulative mortality for five U-group strains ranged from 20 to 100%, four M-group strains ranged 30-63% and two L-group strains varied from 41 to 81%. Thus, unlike Pacific salmonids, there was no apparent correlation of virulence in a particular host species with virus genogroup. The mortality patterns indicated two different phenotypes in terms of kinetics of disease progression and final per cent mortality, with nine strains having moderate virulence and two strains (from the U and L genogroups) having high virulence. These phenotypes were investigated by histopathology and immunohistochemistry to describe the variation in the course of IHNV disease in Atlantic salmon. The results from this study demonstrate that IHNV may become a major threat to farmed Atlantic salmon in other regions of the world where the virus has been, or may be, introduced.
","language":"English","publisher":"Wiley","doi":"10.1111/jfd.12323","usgsCitation":"Kurath, G., Winton, J., Dale, O.B., Purcell, M., Falk, K., and Busch, R.D., 2016, Atlantic salmon, Salmo salar L. are broadly susceptible to isolates representing the North American genogroups of infectious hematopoietic necrosis virus: Journal of Fish Diseases, v. 39, no. 1, p. 55-67, https://doi.org/10.1111/jfd.12323.","productDescription":"13 p.","startPage":"55","endPage":"67","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058613","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":296395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-11-07","publicationStatus":"PW","scienceBaseUri":"547ee2bbe4b09357f05f8a3f","contributors":{"authors":[{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":525742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winton, James R. jwinton@usgs.gov","contributorId":127569,"corporation":false,"usgs":true,"family":"Winton","given":"James R.","email":"jwinton@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":525743,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dale, Ole B.","contributorId":127582,"corporation":false,"usgs":false,"family":"Dale","given":"Ole","email":"","middleInitial":"B.","affiliations":[{"id":7064,"text":"Norwegian Veterinary Institute, Ullevalsveien 68, Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":525744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Purcell, Maureen K. mpurcell@usgs.gov","contributorId":3061,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen K.","email":"mpurcell@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":526157,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Falk, Knut","contributorId":127652,"corporation":false,"usgs":false,"family":"Falk","given":"Knut","email":"","affiliations":[{"id":7064,"text":"Norwegian Veterinary Institute, Ullevalsveien 68, Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":526158,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Busch, Robert D.","contributorId":48217,"corporation":false,"usgs":true,"family":"Busch","given":"Robert","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":525745,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70154886,"text":"70154886 - 2016 - Natural flow regimes of the Ozark-Ouachita Interior Highlands region","interactions":[],"lastModifiedDate":"2016-01-11T10:40:54","indexId":"70154886","displayToPublicDate":"2014-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Natural flow regimes of the Ozark-Ouachita Interior Highlands region","docAbstract":"Natural flow regimes represent the hydrologic conditions to which native aquatic organisms are best adapted. We completed a regional river classification and quantitative descriptions of each natural flow regime for the Ozark–Ouachita Interior Highlands region of Arkansas, Missouri and Oklahoma. On the basis of daily flow records from 64 reference streams, seven natural flow regimes were identified with mixture model cluster analysis: Groundwater Stable, Groundwater, Groundwater Flashy, Perennial Runoff, Runoff Flashy, Intermittent Runoff and Intermittent Flashy. Sets of flow metrics were selected that best quantified nine ecologically important components of these natural flow regimes. An uncertainty analysis was performed to avoid selecting metrics strongly affected by measurement uncertainty that can result from short periods of record. Measurement uncertainties (bias, precision and accuracy) were assessed for 170 commonly used flow metrics. The ranges of variability expected for select flow metrics under natural conditions were quantified for each flow regime to provide a reference for future assessments of hydrologic alteration. A random forest model was used to predict the natural flow regimes of all stream segments in the study area based on climate and catchment characteristics, and a map was produced. The geographic distribution of flow regimes suggested distinct ecohydrological regions that may be useful for conservation planning. This project provides a hydrologic foundation for future examination of flow–ecology relationships in the region. Published 2014. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.2838","usgsCitation":"Leasure, D.R., Magoulick, D.D., and Longing, S., 2016, Natural flow regimes of the Ozark-Ouachita Interior Highlands region: River Research and Applications, v. 32, no. 1, p. 18-35, https://doi.org/10.1002/rra.2838.","productDescription":"18 p.","startPage":"18","endPage":"35","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052517","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri, Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.16455078125,\n 33.08233672856376\n ],\n [\n -91.16455078125,\n 33.742612777346885\n ],\n [\n -90.50537109375,\n 34.79576153473033\n ],\n [\n -89.80224609374999,\n 35.97800618085568\n ],\n [\n -90.3076171875,\n 36.01356058518153\n ],\n [\n -90.087890625,\n 36.35052700542763\n ],\n [\n -90.19775390625,\n 36.491973470593685\n ],\n [\n -90.72509765625,\n 36.491973470593685\n ],\n [\n -90.4833984375,\n 37.19533058280065\n ],\n [\n -90.24169921875,\n 37.33522435930641\n ],\n [\n -90.3955078125,\n 37.82280243352756\n ],\n [\n -90.3515625,\n 38.22091976683121\n ],\n [\n -90.63720703125,\n 38.35888785866677\n ],\n [\n -91.42822265625,\n 38.39333888832238\n ],\n [\n -92.57080078125,\n 38.28993659801203\n ],\n [\n -92.8125,\n 38.496593518947556\n ],\n [\n -93.22998046875,\n 38.51378825951165\n ],\n [\n -93.515625,\n 38.34165619279593\n ],\n [\n -93.93310546875,\n 38.03078569382294\n ],\n [\n -94.0869140625,\n 37.61423141542417\n ],\n [\n -94.0869140625,\n 37.33522435930641\n ],\n [\n -94.6142578125,\n 37.317751851636906\n ],\n [\n -94.8779296875,\n 37.00255267215955\n ],\n [\n -95.11962890625,\n 36.61552763134925\n ],\n [\n -95.2734375,\n 36.31512514748051\n ],\n [\n -95.47119140625,\n 36.12012758978146\n ],\n [\n -95.69091796875,\n 35.97800618085568\n ],\n [\n -95.80078125,\n 35.67514743608467\n ],\n [\n -95.49316406249999,\n 35.28150065789119\n ],\n [\n -95.51513671875,\n 34.95799531086792\n ],\n [\n -95.91064453125,\n 34.867904962568716\n ],\n [\n -96.48193359375,\n 34.70549341022544\n ],\n [\n -96.48193359375,\n 34.397844946449865\n ],\n [\n -95.888671875,\n 34.17999758688084\n ],\n [\n -94.482421875,\n 34.14363482031264\n ],\n [\n -94.46044921875,\n 33.5963189611327\n ],\n [\n -94.10888671875,\n 33.54139466898275\n ],\n [\n -94.04296874999999,\n 32.99023555965106\n ],\n [\n -91.16455078125,\n 33.08233672856376\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-11","publicationStatus":"PW","scienceBaseUri":"55a78438e4b0183d66e45e92","contributors":{"authors":[{"text":"Leasure, Douglas R.","contributorId":145643,"corporation":false,"usgs":false,"family":"Leasure","given":"Douglas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":564872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Longing, S. D.","contributorId":145644,"corporation":false,"usgs":false,"family":"Longing","given":"S. D.","affiliations":[],"preferred":false,"id":564873,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178684,"text":"70178684 - 2016 - New insights into debris-flow hazards from an extraordinary event in the Colorado Front Range","interactions":[],"lastModifiedDate":"2016-12-02T12:13:11","indexId":"70178684","displayToPublicDate":"2014-10-21T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1728,"text":"GSA Today","active":true,"publicationSubtype":{"id":10}},"title":"New insights into debris-flow hazards from an extraordinary event in the Colorado Front Range","docAbstract":"Rainfall on 9–13 September 2013 triggered at least 1,138 debris flows in a 3430 km2 area of the Colorado Front Range. The historical record reveals that the occurrence of these flows over such a large area in the interior of North America is highly unusual. Rainfall that triggered the debris flows began after ~75 mm of antecedent rain had fallen, a relatively low amount compared to other parts of the United States. Most flows were triggered in response to two intense rainfall periods, one 12.5-hour-long period on 11–12 September, and one 8-hour-long period on 12 September. The maximum 10 min. intensities during these periods were 67 and 39 mm/hr. Ninety-five percent of flows initiated in canyons and on hogbacks at elevations lower than a widespread erosion surface of low slope and relief (<2600 m). These flows were on steep (>25°), predominantly south- and east-facing slopes with upslope contributing areas <3300 m2. Flows with the largest scars and longest travel distances occurred at elevations above 2600 m on steep slopes with contributing areas >3300 m2. Areal concentrations of debris flows revealed that colluvial soils formed on sedimentary rocks were more susceptible to flows than soils on crystalline rocks. This event should serve as an alert to government authorities, emergency responders, and residents in the Front Range and other interior continental areas with steep slopes. Widespread debris flows in these areas occur infrequently but may pose a greater risk than in areas with shorter return periods, because the public is typically unprepared for them.","language":"English","publisher":"Geological Society of America","doi":"10.1130/GSATG214A.1","usgsCitation":"Coe, J.A., Kean, J.W., Godt, J.W., Baum, R.L., Jones, E.S., Gochis, D., and Anderson, G.S., 2016, New insights into debris-flow hazards from an extraordinary event in the Colorado Front Range: GSA Today, v. 24, no. 10, p. 4-10, https://doi.org/10.1130/GSATG214A.1.","productDescription":"6 p. ","startPage":"4","endPage":"10","ipdsId":"IP-056791","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":331447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Wyoming ","otherGeospatial":"Colorado Front Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.96337890625,\n 41.49212083968776\n ],\n [\n -105.27099609375,\n 42.439674178149424\n ],\n [\n -105.655517578125,\n 42.512601715736665\n ],\n [\n -106.06201171875,\n 42.46399280017058\n ],\n [\n -106.79809570312499,\n 42.31793945446847\n ],\n [\n -107.05078125,\n 42.17968819665961\n ],\n [\n -107.369384765625,\n 41.918628865183045\n ],\n [\n -107.68798828125,\n 41.393294288784865\n ],\n [\n -107.720947265625,\n 41.00477542222947\n ],\n [\n -107.611083984375,\n 40.47202439692057\n ],\n [\n -107.64404296875,\n 40.027614437486655\n ],\n [\n -107.918701171875,\n 39.470125122358176\n ],\n [\n -106.907958984375,\n 38.324420427006544\n ],\n [\n -106.424560546875,\n 37.94419750075404\n ],\n [\n -106.54541015625,\n 37.36142550190517\n ],\n [\n -106.58935546875,\n 37.24782120155428\n ],\n [\n -105.435791015625,\n 37.16907157713011\n ],\n [\n -105.040283203125,\n 37.15156050223665\n ],\n [\n -104.74365234375,\n 37.735969208590504\n ],\n [\n -104.490966796875,\n 38.298559092254344\n ],\n [\n -104.47998046875,\n 38.92522904714054\n ],\n [\n -104.96337890625,\n 41.49212083968776\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-01","publicationStatus":"PW","scienceBaseUri":"584296d8e4b04fc80e518e3e","contributors":{"authors":[{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":654796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":654797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":654798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":654799,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Eric S. 0000-0002-9200-8442 esjones@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-8442","contributorId":4924,"corporation":false,"usgs":true,"family":"Jones","given":"Eric","email":"esjones@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":654800,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gochis, David","contributorId":152455,"corporation":false,"usgs":false,"family":"Gochis","given":"David","email":"","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":654801,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Anderson, Gregory S","contributorId":177146,"corporation":false,"usgs":false,"family":"Anderson","given":"Gregory","email":"","middleInitial":"S","affiliations":[],"preferred":false,"id":654802,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70173412,"text":"70173412 - 2016 - Raft and floating radio frequency identification (RFID) antenna systems for detecting and estimating abundance of PIT-tagged fish in rivers","interactions":[],"lastModifiedDate":"2016-06-20T18:20:21","indexId":"70173412","displayToPublicDate":"2014-10-10T07:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Raft and floating radio frequency identification (RFID) antenna systems for detecting and estimating abundance of PIT-tagged fish in rivers","docAbstract":"Portable radio frequency identification (RFID) PIT tag antenna systems are increasingly being used in studies examining aquatic animal movement, survival, and habitat use, and their design flexibility permits application in a wide variety of settings. We describe the construction, use, and performance of two portable floating RFID PIT tag antenna systems designed to detect fish that were unavailable for recapture using stationary antennas or electrofishing. A raft antenna system was designed to detect and locate PIT-tagged fish in relatively long (i.e., ≥10 km) river reaches, and consisted of two antennas: (1) a horizontal antenna (4 × 1.2 m) installed on the bottom of the raft and used to detect fish in shallower river reaches (<1 m), and (2) a vertical antenna (2.7 × 1.2 m) for detecting fish in deeper pools (≥1 m). Detection distances of the horizontal antenna were between 0.7 and 1.0 m, and detection probability was 0.32 ± 0.02 (mean ± SE) in a field test using rocks marked with 32-mm PIT tags. Detection probability of PIT-tagged fish in the Cache la Poudre River, Colorado, using the raft antenna system, which covered 21% of the wetted area, was 0.14 ± 0.14. A shore-deployed floating antenna (14.6 × 0.6 m), which covered 100% of the wetted area, was designed for use by two operators for detecting and locating PIT-tagged fish in shorter (i.e., <2 km) river reaches. Detection distances of the shore-deployed floating antenna were between 0.7 and 0.8 m, and detection probabilities during field deployment in the St. Vrain River exceeded 0.52. The shore-deployed floating antenna was also used to estimate abundance of PIT-tagged fish. Results suggest that the shore-deployed floating antenna could be used as an alternative to estimating abundance using traditional sampling methods such as electrofishing.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2014.943859","usgsCitation":"Fetherman, E.R., Avila, B.W., and Winkelman, D.L., 2016, Raft and floating radio frequency identification (RFID) antenna systems for detecting and estimating abundance of PIT-tagged fish in rivers: North American Journal of Fisheries Management, v. 34, no. 6, p. 1065-1077, https://doi.org/10.1080/02755947.2014.943859.","productDescription":"13 p.","startPage":"1065","endPage":"1077","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053679","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":324054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Cache la Poudre River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.7221221923828,\n 40.67282675532094\n ],\n [\n -105.7221221923828,\n 40.71083299030839\n ],\n [\n -105.50239562988281,\n 40.71083299030839\n ],\n [\n -105.50239562988281,\n 40.67282675532094\n ],\n [\n -105.7221221923828,\n 40.67282675532094\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-10","publicationStatus":"PW","scienceBaseUri":"576913e5e4b07657d19ff247","contributors":{"authors":[{"text":"Fetherman, Eric R.","contributorId":15096,"corporation":false,"usgs":true,"family":"Fetherman","given":"Eric","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":639942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Avila, Brian W.","contributorId":172211,"corporation":false,"usgs":false,"family":"Avila","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":17860,"text":"Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":639943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637096,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70154843,"text":"70154843 - 2016 - Behavioural thermoregulation and bioenergetics of riverine smallmouth bass associated with ambient cold-period thermal refuge","interactions":[],"lastModifiedDate":"2016-01-06T13:37:38","indexId":"70154843","displayToPublicDate":"2014-10-09T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Behavioural thermoregulation and bioenergetics of riverine smallmouth bass associated with ambient cold-period thermal refuge","docAbstract":"Smallmouth bass in thermally heterogeneous streams may behaviourally thermoregulate during the cold period (i.e., groundwater temperature greater than river water temperature) by inhabiting warm areas in the stream that result from high groundwater influence or springs. Our objectives were to determine movement of smallmouth bass (Micropterus dolomieu) that use thermal refuge and project differences in growth and consumption among smallmouth bass exhibiting different thermal-use patterns. We implanted radio transmitters in 29 smallmouth bass captured in Alley Spring on the Jacks Fork River, Missouri, USA, during the winter of 2012. Additionally, temperature archival tags were implanted in a subset of nine fish. Fish were tracked using radio telemetry monthly from January 2012 through January of 2013. The greatest upstream movement was 42.5 km, and the greatest downstream movement was 22.2 km. Most radio tagged fish (69%) departed Alley Spring when daily maximum river water temperature first exceeded that of the spring (14 °C) and during increased river discharge. Bioenergetic modelling predicted that a 350 g migrating smallmouth bass that used cold-period thermal refuge would grow 16% slower at the same consumption level as a fish that did not seek thermal refuge. Contrary to the bioenergetics models, extrapolation of growth scope results suggested migrating fish grow 29% more than fish using areas of stream with little groundwater influence. Our results contradict previous findings that smallmouth bass are relatively sedentary, provide information about potential cues for migratory behaviour, and give insight to managers regarding use and growth of smallmouth bass in thermally heterogeneous river systems.
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The ARkStorm scenario would trigger a mass evacuation that would be complicated by the social characteristics of populations [e.g., vehicle ownership, age, poverty, English language limitation (ELL), and shelter needs]. Land cover data and dasymetric mapping improves the allocation of residential populations and their social characteristics to the ARkStorm flood zone in 21 counties in California. Numbers and concentrations of county, urban, and rural residents exposed to flooding as well as populations in and out of the scenario flood zone are profiled. The results inform mass evacuation planning by providing a means to (1) examine the sufficiency of mutual aid agreements, (2) underscore planning for carless populations, and (3) tailor multilingual communication strategies. The various geographical distinctions emphasize different challenges throughout the region. It will be important to investigate behavioral responses to warnings, identify evacuation constraints (e.g., shelter capacity versus need), and obtain comparable data on transient populations.
","language":"English","publisher":"American Society of Civil Engineers","publisherLocation":"Reston, VA","doi":"10.1061/(ASCE)NH.1527-6996.0000161","usgsCitation":"Wein, A., Ratliff, J.L., Allan Baez, and Sleeter, R., 2016, Regional analysis of social characteristics for evacuation resource planning: ARkStorm scenario: Natural Hazards Review, v. 17, no. 4, A4014002; 10 p., https://doi.org/10.1061/(ASCE)NH.1527-6996.0000161.","productDescription":"A4014002; 10 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044968","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":297894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297887,"type":{"id":15,"text":"Index Page"},"url":"https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29NH.1527-6996.0000161"}],"volume":"17","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2c41e4b08de9379b36e7","contributors":{"authors":[{"text":"Wein, Anne 0000-0002-5516-3697 awein@usgs.gov","orcid":"https://orcid.org/0000-0002-5516-3697","contributorId":589,"corporation":false,"usgs":true,"family":"Wein","given":"Anne","email":"awein@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":540275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ratliff, Jamie L. 0000-0002-9967-3314 jratliff@usgs.gov","orcid":"https://orcid.org/0000-0002-9967-3314","contributorId":665,"corporation":false,"usgs":true,"family":"Ratliff","given":"Jamie","email":"jratliff@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":540276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allan Baez","contributorId":139188,"corporation":false,"usgs":false,"family":"Allan Baez","affiliations":[{"id":12689,"text":"Community Technology Alliance","active":true,"usgs":false}],"preferred":false,"id":540278,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sleeter, Rachel 0000-0003-3477-0436 rsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-3477-0436","contributorId":666,"corporation":false,"usgs":true,"family":"Sleeter","given":"Rachel","email":"rsleeter@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":540277,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70121536,"text":"fs20143079 - 2016 - The 3D Elevation Program: summary for Hawaii","interactions":[],"lastModifiedDate":"2017-01-30T15:58:06","indexId":"fs20143079","displayToPublicDate":"2014-09-12T16:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3079","title":"The 3D Elevation Program: summary for Hawaii","docAbstract":"Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Hawaii, elevation data are critical for infrastructure and construction management, flood risk management, geologic resource assessment and hazard mitigation, natural resources conservation, coastal zone management, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, U.S. territorial, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.
The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States, Hawaii, and selected U.S. territories, and quality level 5 interferometric synthetic aperture radar (IfSAR) data for Alaska, all with a 6- to 10-year acquisition cycle, provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A–16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other three-dimensional (3D) representations of the Nation’s natural and constructed features.
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\"}}]}","edition":"Version 1: Originally posted September 12, 2014; Version 1.1: February 2016","contact":"Director, National Geospatial Program
U.S. Geological Survey
511 National Center
Reston, VA 20192
http://www.usgs.gov/ngpo/
http://nationalmap.gov/3DEP/