{"pageNumber":"632","pageRowStart":"15775","pageSize":"25","recordCount":40807,"records":[{"id":70048764,"text":"fs20133070 - 2013 - Coastal processes influencing water quality at Great Lakes beaches","interactions":[],"lastModifiedDate":"2013-11-14T17:35:04","indexId":"fs20133070","displayToPublicDate":"2013-11-01T14:09:00","publicationYear":"2013","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":"2013-3070","title":"Coastal processes influencing water quality at Great Lakes beaches","docAbstract":"In a series of studies along the Great Lakes, U.S. Geological Survey scientists are examining the physical processes that influence concentrations of fecal indicator bacteria and related pathogens at recreational beaches. These studies aim to estimate human health risk, improve management strategies, and understand the fate and transport of microbes in the nearshore area. It was determined that embayed beaches act as traps, accumulating Escherichia coli (E. coli) and other bacteria in the basin and even in beach sand. Further, shear stress and wave run-up could resuspend accumulated bacteria, leading to water-contamination events. These findings are being used to target beach design and circulation projects. In previous research, it was determined that E. coli followed a diurnal pattern, with concentrations decreasing throughout the day, largely owing to solar inactivation, but rebounding overnight. Studies at a Chicago beach identified the impact of wave-induced mass transport on this phenomenon, a finding that will extend our understanding of bacterial fate in the natural environment. In another series of studies, scientists examined the impact of river outfalls on bacteria concentrations, using mechanistic and empirical modeling. Through these studies, the models can indicate range and extent of impact, given E. coli concentration in the source water. These findings have been extended to extended lengths of coastlines and have been applied in beach management using empirical predictive modeling. Together, these studies are helping scientists identify and eliminate threats to human and coastal health.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133070","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2013, Coastal processes influencing water quality at Great Lakes beaches: U.S. Geological Survey Fact Sheet 2013-3070, 4 p., https://doi.org/10.3133/fs20133070.","productDescription":"4 p.","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":278649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133070.gif"},{"id":278647,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3070/pdf/fs2013-3070.pdf"},{"id":278648,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3070/"}],"country":"United States","otherGeospatial":"Great Lakes Beaches","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5274c67de4b089748f071324","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535604,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048763,"text":"fs20133069 - 2013 - Real-time assessments of water quality: expanding nowcasting throughout the Great Lakes","interactions":[],"lastModifiedDate":"2013-11-14T17:34:14","indexId":"fs20133069","displayToPublicDate":"2013-11-01T14:04:00","publicationYear":"2013","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":"2013-3069","title":"Real-time assessments of water quality: expanding nowcasting throughout the Great Lakes","docAbstract":"Nowcasts are systems that inform the public of current bacterial water-quality conditions at beaches on the basis of predictive models. During 2010–12, the U.S. Geological Survey (USGS) worked with 23 local and State agencies to improve existing operational beach nowcast systems at 4 beaches and expand the use of predictive models in nowcasts at an additional 45 beaches throughout the Great Lakes. The predictive models were specific to each beach, and the best model for each beach was based on a unique combination of environmental and water-quality explanatory variables. The variables used most often in models to predict Escherichia coli (E. coli) concentrations or the probability of exceeding a State recreational water-quality standard included turbidity, day of the year, wave height, wind direction and speed, antecedent rainfall for various time periods, and change in lake level over 24 hours. During validation of 42 beach models during 2012, the models performed better than the current method to assess recreational water quality (previous day's E. coli concentration). The USGS will continue to work with local agencies to improve nowcast predictions, enable technology transfer of predictive model development procedures, and implement more operational systems during 2013 and beyond.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133069","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2013, Real-time assessments of water quality: expanding nowcasting throughout the Great Lakes: U.S. Geological Survey Fact Sheet 2013-3069, 4 p., https://doi.org/10.3133/fs20133069.","productDescription":"4 p.","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":278653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133069.gif"},{"id":278652,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3069/pdf/fs2013-3069.pdf"},{"id":278651,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3069/"}],"country":"United States","otherGeospatial":"The Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.4 ], [ -92.11,48.85 ], [ -76.3,48.85 ], [ -76.3,41.4 ], [ -92.11,41.4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5274c67fe4b089748f07132d","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535603,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048759,"text":"fs20133068 - 2013 - Tools for beach health data management, data processing, and predictive model implementation","interactions":[],"lastModifiedDate":"2013-11-14T17:33:35","indexId":"fs20133068","displayToPublicDate":"2013-11-01T13:59:00","publicationYear":"2013","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":"2013-3068","title":"Tools for beach health data management, data processing, and predictive model implementation","docAbstract":"This fact sheet describes utilities created for management of recreational waters to provide efficient data management, data aggregation, and predictive modeling as well as a prototype geographic information system (GIS)-based tool for data visualization and summary. All of these utilities were developed to assist beach managers in making decisions to protect public health. The Environmental Data Discovery and Transformation (EnDDaT) Web service identifies, compiles, and sorts environmental data from a variety of sources that help to define climatic, hydrologic, and hydrodynamic characteristics including multiple data sources within the U.S. Geological Survey and the National Oceanic and Atmospheric Administration. The Great Lakes Beach Health Database (GLBH-DB) and Web application was designed to provide a flexible input, export, and storage platform for beach water quality and sanitary survey monitoring data to compliment beach monitoring programs within the Great Lakes. A real-time predictive modeling strategy was implemented by combining the capabilities of EnDDaT and the GLBH-DB for timely, automated prediction of beach water quality. The GIS-based tool was developed to map beaches based on their physical and biological characteristics, which was shared with multiple partners to provide concepts and information for future Web-accessible beach data outlets.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133068","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2013, Tools for beach health data management, data processing, and predictive model implementation: U.S. Geological Survey Fact Sheet 2013-3068, 6 p., https://doi.org/10.3133/fs20133068.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":278643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133068.gif"},{"id":278641,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3068/"},{"id":278642,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3068/pdf/fs2013-3068.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5274c67fe4b089748f071333","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535602,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70094487,"text":"70094487 - 2013 - Adjustment of the San Francisco estuary and watershed to decreasing sediment supply in the 20th century","interactions":[],"lastModifiedDate":"2014-02-20T13:58:17","indexId":"70094487","displayToPublicDate":"2013-11-01T13:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Adjustment of the San Francisco estuary and watershed to decreasing sediment supply in the 20th century","docAbstract":"The general progression of human land use is an initial disturbance (e.g., deforestation, mining, agricultural expansion, overgrazing, and urbanization) that creates a sediment pulse to an estuary followed by dams that reduce sediment supply. We present a conceptual model of the effects of increasing followed by decreasing sediment supply that includes four sequential regimes, which propagate downstream: a stationary natural regime, transient increasing sediment supply, transient decreasing sediment supply, and a stationary altered regime. The model features characteristic lines that separate the four regimes. Previous studies of the San Francisco Estuary and watershed are synthesized in the context of this conceptual model. Hydraulic mining for gold in the watershed increased sediment supply to the estuary in the late 1800s. Adjustment to decreasing sediment supply began in the watershed and upper estuary around 1900 and in the lower estuary in the 1950s. Large freshwater flow in the late 1990s caused a step adjustment throughout the estuary and watershed. It is likely that the estuary and watershed are still capable of adjusting but further adjustment will be as steps that occur only during greater floods than previously experienced during the adjustment period. Humans are actively managing the system to try to prevent greater floods. If this hypothesis of step changes occurring for larger flows is true, then the return interval of step changes will increase or, if humans successfully control floods in perpetuity, there will be no more step changes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.margeo.2013.04.007","usgsCitation":"Schoellhamer, D., Wright, S., and Drexler, J., 2013, Adjustment of the San Francisco estuary and watershed to decreasing sediment supply in the 20th century: Marine Geology, v. 345, p. 63-71, https://doi.org/10.1016/j.margeo.2013.04.007.","productDescription":"9 p.","startPage":"63","endPage":"71","numberOfPages":"9","ipdsId":"IP-028622","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":282575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282574,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.margeo.2013.04.007"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Estuary","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.75,37.25 ], [ -122.75,39.0 ], [ -121.0,39.0 ], [ -121.0,37.25 ], [ -122.75,37.25 ] ] ] } } ] }","volume":"345","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4b34e4b0b290850f03a2","contributors":{"authors":[{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drexler, Judith Z. 0000-0002-0127-3866","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":8941,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith Z.","affiliations":[],"preferred":false,"id":490626,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70112504,"text":"70112504 - 2013 - The use of modeling and suspended sediment concentration measurements for quantifying net suspended sediment transport through a large tidally dominated inlet","interactions":[],"lastModifiedDate":"2020-06-05T14:52:04.442498","indexId":"70112504","displayToPublicDate":"2013-11-01T13:41:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"The use of modeling and suspended sediment concentration measurements for quantifying net suspended sediment transport through a large tidally dominated inlet","docAbstract":"

Sediment exchange at large energetic inlets is often difficult to quantify due complex flows, massive amounts of water and sediment exchange, and environmental conditions limiting long-term data collection. In an effort to better quantify such exchange this study investigated the use of suspended sediment concentrations (SSC) measured at an offsite location as a surrogate for sediment exchange at the tidally dominated Golden Gate inlet in San Francisco, CA. A numerical model was calibrated and validated against water and suspended sediment flux measured during a spring–neap tide cycle across the Golden Gate. The model was then run for five months and net exchange was calculated on a tidal time-scale and compared to SSC measurements at the Alcatraz monitoring site located in Central San Francisco Bay ~ 5 km from the Golden Gate. Numerically modeled tide averaged flux across the Golden Gate compared well (r2 = 0.86, p-value < 0.05) with 25 h low-pass filtered (tide averaged) SSCs measured at Alcatraz over the five month simulation period (January through April 2008). This formed a basis for the development of a simple equation relating the advective flux at Alcatraz with suspended sediment flux across the Golden Gate. Utilization of the equation with all available Alcatraz SSC data resulted in an average export rate of 1.2 Mt/yr during water years 2004 through 2010. While the rate is comparable to estimated suspended sediment inflow rates from sources within the Bay over the same time period (McKee et al., 2013-this issue), there was little variation from year to year. Exports were computed to be greatest during the wettest water year analyzed but only marginally so.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2013.06.001","usgsCitation":"Erikson, L., Wright, S., Elias, E., Hanes, D.M., Schoellhamer, D., and Largier, J., 2013, The use of modeling and suspended sediment concentration measurements for quantifying net suspended sediment transport through a large tidally dominated inlet: Marine Geology, v. 345, p. 96-112, https://doi.org/10.1016/j.margeo.2013.06.001.","productDescription":"17 p.","startPage":"96","endPage":"112","numberOfPages":"17","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":288632,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.559719,37.681583 ], [ -122.559719,37.994051 ], [ -122.249249,37.994051 ], [ -122.249249,37.681583 ], [ -122.559719,37.681583 ] ] ] } } ] }","volume":"345","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7871e4b0abf75cf2d559","contributors":{"editors":[{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":509868,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":509870,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":509869,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Erikson, Li H.","contributorId":10880,"corporation":false,"usgs":true,"family":"Erikson","given":"Li H.","affiliations":[],"preferred":false,"id":494790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494789,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elias, Edwin","contributorId":50615,"corporation":false,"usgs":true,"family":"Elias","given":"Edwin","affiliations":[],"preferred":false,"id":494791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanes, Daniel M.","contributorId":96360,"corporation":false,"usgs":true,"family":"Hanes","given":"Daniel","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":494793,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494788,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Largier, John","contributorId":85257,"corporation":false,"usgs":true,"family":"Largier","given":"John","email":"","affiliations":[],"preferred":false,"id":494792,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70047927,"text":"70047927 - 2013 - Adaptive harvest management for the Svalbard population of pink-footed geese: assessment for the 2013-2015 hunting seasons","interactions":[],"lastModifiedDate":"2014-06-20T14:12:08","indexId":"70047927","displayToPublicDate":"2013-11-01T13:28:17","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":296,"text":"Technical Report from DCE - Danish Centre for Environment and Energy","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"28","title":"Adaptive harvest management for the Svalbard population of pink-footed geese: assessment for the 2013-2015 hunting seasons","docAbstract":"This report describes progress on the development of an adaptive harvestmanagement strategy for maintaining the Svalbard population of pink-footed geese \nnear their agreed target level (60,000) by providing for sustainable harvests in Norway and Denmark. Specifically, this report provides an optimal harvest quota for the 2013-2015 hunting seasons and describes a process for evaluating whether emergency hunting closures would be needed during that period. By combining varying hypotheses about survival and reproduction, a suite of nine models have been developed that represent a wide range of possibilities concerning the extent to which demographic rates are density dependent or independent, and the extent to which spring temperatures are important. The most current set of monitoring information was used to update model weights for the 1991 – 2012 period. Current model weights suggest no evidence for density-dependent survival. These results suggest that the pink-footed goose population may have recently experienced a release from density-dependent mechanisms, corresponding to the period of most rapid growth in population size. There was equivocal evidence for the effect of May temperature days (number of days with temperatures above freezing) on survival and on reproduction. The optimal harvest strategy suggests that the appropriate annual harvest quota for the 20132015 period is 15,000; hence there is no need to take emergency measures to close the upcoming hunting season. For comparison, the estimated harvest in 2012 was 11,000. If the harvest quota of 15,000 were met, the autumn 2013 population count is expected to be 76,000. If only the most recent 3-year mean harvest were realized (11,500), an autumn population size of 80,000 thousand is expected. Thus, it may be that harvest is approaching the magnitude needed to stabilize the population.","language":"English","publisher":"Aarhus University, DCE – Danish Centre for Environment and Energy","issn":"2245-019X","isbn":"978-87-7156-038-1","usgsCitation":"Johnson, F.A., and Madsen, J., 2013, Adaptive harvest management for the Svalbard population of pink-footed geese: assessment for the 2013-2015 hunting seasons: Technical Report from DCE - Danish Centre for Environment and Energy 28, 19 p.","productDescription":"19 p.","numberOfPages":"22","ipdsId":"IP-049210","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":279185,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279186,"type":{"id":15,"text":"Index Page"},"url":"https://dce.au.dk/en/publications/tr/nr-1-49/"}],"country":"Denmark;Norway","otherGeospatial":"Svalbard","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528c96aae4b0c629af44dd92","contributors":{"authors":[{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":483313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madsen, Jesper","contributorId":9950,"corporation":false,"usgs":true,"family":"Madsen","given":"Jesper","affiliations":[],"preferred":false,"id":483314,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70094486,"text":"70094486 - 2013 - A step decrease in sediment concentration in a highly modified tidal river delta following the 1983 El Niño floods","interactions":[],"lastModifiedDate":"2020-06-05T14:25:37.18205","indexId":"70094486","displayToPublicDate":"2013-11-01T13:08:44","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"A step decrease in sediment concentration in a highly modified tidal river delta following the 1983 El Niño floods","docAbstract":"Anthropogenic activities in watersheds can have profound effects on sediment transport through river systems to estuaries. Disturbance in a watershed combined with alterations to the hydro-climatologic regime may result in changes to the sediment flux, and exacerbate the impacts of extreme events (such as large-magnitude floods) on sediment transport. In the San Francisco Estuary, suspended sediment has been declining over the past 30 years as a result of declining sediment supply, contributing to dramatic changes in the ecology and geomorphology of the estuary. However, the decline has not been gradual. Recent observations of an abrupt decrease in suspended sediments in the San Francisco Bay have been explained by a model that suggests that the step change has occurred due to exceedance of a sediment regulation threshold that triggered the change from a sediment transport regime to a supply-limited system. We investigated structural changes in the historical record of total suspended solids (TSS) concentration measured in the upper estuary to verify the model predictions. TSS in the upper estuary exhibited an abrupt step decrease in 1983 corresponding to the record-high winter and summer flows from the 1982 to 1983 El Niño event. After this step change, TSS concentrations had a significant declining trend despite subsequent near-record high flows. The abrupt change in TSS followed by the declining trend provides evidence for the hypothesis of sediment supply limitation in the San Francisco Estuary.","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2013.05.008","usgsCitation":"Hestir, E.L., Schoellhamer, D., Morgan-King, T., and Ustin, S.L., 2013, A step decrease in sediment concentration in a highly modified tidal river delta following the 1983 El Niño floods: Marine Geology, v. 345, p. 304-313, https://doi.org/10.1016/j.margeo.2013.05.008.","productDescription":"10 p.","startPage":"304","endPage":"313","numberOfPages":"10","ipdsId":"IP-022095","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":282572,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Francisco","otherGeospatial":"San Francisco Estuary","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.7997,37.3985 ], [ -122.7997,38.5997 ], [ -120.5035,38.5997 ], [ -120.5035,37.3985 ], [ -122.7997,37.3985 ] ] ] } } ] }","volume":"345","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4a9fe4b0b290850efe34","contributors":{"editors":[{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":790431,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":790432,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":790433,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Hestir, Erin L.","contributorId":101181,"corporation":false,"usgs":true,"family":"Hestir","given":"Erin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":490623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morgan-King, Tara 0000-0001-5632-5232","orcid":"https://orcid.org/0000-0001-5632-5232","contributorId":32804,"corporation":false,"usgs":true,"family":"Morgan-King","given":"Tara","affiliations":[],"preferred":false,"id":490621,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ustin, Susan L.","contributorId":52878,"corporation":false,"usgs":false,"family":"Ustin","given":"Susan","email":"","middleInitial":"L.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":490622,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70048868,"text":"70048868 - 2013 - Heavy mineral analysis for assessing the provenance of sandy sediment in the San Francisco Bay Coastal System","interactions":[],"lastModifiedDate":"2020-06-05T14:28:42.195444","indexId":"70048868","displayToPublicDate":"2013-11-01T13:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Heavy mineral analysis for assessing the provenance of sandy sediment in the San Francisco Bay Coastal System","docAbstract":"Heavy or high-specific gravity minerals make up a small but diagnostic component of sediment that is well suited for determining the provenance and distribution of sediment transported through estuarine and coastal systems worldwide. By this means, we see that surficial sand-sized sediment in the San Francisco Bay Coastal System comes primarily from the Sierra Nevada and associated terranes by way of the Sacramento and San Joaquin Rivers and is transported with little dilution through the San Francisco Bay and out the Golden Gate. Heavy minerals document a slight change from the strictly Sierran-Sacramento mineralogy at the confluence of the two rivers to a composition that includes minor amounts of chert and other Franciscan Complex components west of Carquinez Strait. Between Carquinez Strait and the San Francisco Bar, Sierran sediment is intermingled with Franciscan-modified Sierran sediment. The latter continues out the Gate and turns southward towards beaches of the San Francisco Peninsula. The Sierran sediment also fans out from the San Francisco Bar to merge with a Sierran province on the shelf in the Gulf of the Farallones. Beach-sand sized sediment from the Russian River is transported southward to Point Reyes where it spreads out to define a Franciscan sediment province on the shelf, but does not continue southward to contribute to the sediment in the Golden Gate area.","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2013.05.012","usgsCitation":"Wong, F.L., Woodrow, D., and McGann, M., 2013, Heavy mineral analysis for assessing the provenance of sandy sediment in the San Francisco Bay Coastal System: Marine Geology, v. 345, p. 170-180, https://doi.org/10.1016/j.margeo.2013.05.012.","productDescription":"11 p.","startPage":"170","endPage":"180","numberOfPages":"11","ipdsId":"IP-039170","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":278981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay Coastal System","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.0,37.5 ], [ -123.0,38.5 ], [ -121.5,38.5 ], [ -121.5,37.5 ], [ -123.0,37.5 ] ] ] } } ] }","volume":"345","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527e586ce4b02d2057dd95e5","contributors":{"editors":[{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":790434,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":790435,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":790436,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Wong, Florence L. 0000-0002-3918-5896 fwong@usgs.gov","orcid":"https://orcid.org/0000-0002-3918-5896","contributorId":1990,"corporation":false,"usgs":true,"family":"Wong","given":"Florence","email":"fwong@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":485777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodrow, Donald L.","contributorId":88668,"corporation":false,"usgs":true,"family":"Woodrow","given":"Donald L.","affiliations":[],"preferred":false,"id":485778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":169540,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":485779,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70148069,"text":"70148069 - 2013 - Sediment transport in the San Francisco Bay Coastal System: An overview","interactions":[],"lastModifiedDate":"2020-06-05T14:32:59.876521","indexId":"70148069","displayToPublicDate":"2013-11-01T12:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Sediment transport in the San Francisco Bay Coastal System: An overview","docAbstract":"

The papers in this special issue feature state-of-the-art approaches to understanding the physical processes related to sediment transport and geomorphology of complex coastal-estuarine systems. Here we focus on the San Francisco Bay Coastal System, extending from the lower San Joaquin-Sacramento Delta, through the Bay, and along the adjacent outer Pacific Coast. San Francisco Bay is an urbanized estuary that is impacted by numerous anthropogenic activities common to many large estuaries, including a mining legacy, channel dredging, aggregate mining, reservoirs, freshwater diversion, watershed modifications, urban run-off, ship traffic, exotic species introductions, land reclamation, and wetland restoration. The Golden Gate strait is the sole inlet connecting the Bay to the Pacific Ocean, and serves as the conduit for a tidal flow of ~ 8 x 109 m3/day, in addition to the transport of mud, sand, biogenic material, nutrients, and pollutants. Despite this physical, biological and chemical connection, resource management and prior research have often treated the Delta, Bay and adjacent ocean as separate entities, compartmentalized by artificial geographic or political boundaries. The body of work herein presents a comprehensive analysis of system-wide behavior, extending a rich heritage of sediment transport research that dates back to the groundbreaking hydraulic mining-impact research of G.K. Gilbert in the early 20th century.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2013.04.005","usgsCitation":"Barnard, P., Schoellhamer, D., Jaffe, B.E., and Lester J. McKee, 2013, Sediment transport in the San Francisco Bay Coastal System: An overview: Marine Geology, v. 345, p. 3-17, https://doi.org/10.1016/j.margeo.2013.04.005.","productDescription":"15 p.","startPage":"3","endPage":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045462","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":300551,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay, San Joaquin-Sacramento Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.0949,37.2992 ], [ -123.0949,38.5997 ], [ -121.1064,38.5997 ], [ -121.1064,37.2992 ], [ -123.0949,37.2992 ] ] ] } } ] }","volume":"345","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"555c5eb9e4b0a92fa7eacc0c","contributors":{"editors":[{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":790437,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":790438,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":790439,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":138921,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":547135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":547136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":547134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lester J. McKee","contributorId":140831,"corporation":false,"usgs":false,"family":"Lester J. McKee","affiliations":[{"id":13590,"text":"San Francisco Estuary Institute, Richmond, California","active":true,"usgs":false}],"preferred":false,"id":547137,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70093194,"text":"70093194 - 2013 - Characteristics and interpretation of fracture-filled gas hydrate: an example from the Ulleung Basin, East Sea of Korea","interactions":[],"lastModifiedDate":"2018-08-28T15:25:50","indexId":"70093194","displayToPublicDate":"2013-11-01T12:36:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Characteristics and interpretation of fracture-filled gas hydrate: an example from the Ulleung Basin, East Sea of Korea","docAbstract":"Through the use of 2-D and 3-D seismic data, a total of thirteen sites were selected and drilled in the East Sea of Korea in 2010. A suite of logging-while-drilling (LWD) logs was acquired at each site. LWD logs from the UBGH2-3A well indicate significant gas hydrate in clay-bearing sediments including several zones with massive gas hydrate with a bulk density less than 1.0 g/m3 for depths between 5 and 103 m below the sea floor. The UBGH2-3A well was drilled on a seismically identified chimney structure with a mound feature at the sea floor. Average gas hydrate saturations estimated from the isotropic analysis of ring resistivity and P-wave velocity logs are 80 ± 13% and 47 ± 16%, respectively, whereas they are 46 ± 17% and 45 ± 16%, respectively from the anisotropic analysis. Modeling indicates that the upper part of chimney (between 5 and 45 m below sea floor [mbsf]) is characterized by gas hydrate filling near horizontal fractures (7° dip) and the lower part of chimney (between 45 and 103 mbsf) is characterized by gas hydrate filling high angle fractures on the basis of ring resistivity and P-wave velocity. The anisotropic analysis using P40H resistivity (phase shift resistivity at 32 mHz with 40 inch spacing) and the P-wave velocity yields a gas hydrate saturation of 46 ± 15% and 46 ± 15% respectively, similar to those estimated using ring resistivity and P-wave velocity, but with quite different fracture dip angles. Differences in vertical resolution, depth of investigation, and a finite fracture dimension relative to the tool separation appear to contribute to this discrepancy. Forward modeling of anisotropic resistivity and velocity are essential to identify gas hydrate in fractures and to estimate accurate gas hydrate amounts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine and Petroleum Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2012.09.003","usgsCitation":"Lee, M.W., and Collett, T.S., 2013, Characteristics and interpretation of fracture-filled gas hydrate: an example from the Ulleung Basin, East Sea of Korea: Marine and Petroleum Geology, v. 47, p. 168-181, https://doi.org/10.1016/j.marpetgeo.2012.09.003.","productDescription":"14 p.","startPage":"168","endPage":"181","numberOfPages":"14","ipdsId":"IP-038690","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":281993,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpetgeo.2012.09.003"},{"id":282020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Korea","otherGeospatial":"East Sea Of Korea;Ulleung Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 129.0,35.0 ], [ 129.0,38.0 ], [ 133.0,38.0 ], [ 133.0,35.0 ], [ 129.0,35.0 ] ] ] } } ] }","volume":"47","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd509ee4b0b290850f3727","contributors":{"authors":[{"text":"Lee, Myung Woong","contributorId":15114,"corporation":false,"usgs":true,"family":"Lee","given":"Myung","email":"","middleInitial":"Woong","affiliations":[],"preferred":false,"id":489947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":489946,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047974,"text":"70047974 - 2013 - Evidence for a receiver bias underlying female preference for a male mating pheromone in sea lamprey","interactions":[],"lastModifiedDate":"2013-11-08T12:02:59","indexId":"70047974","displayToPublicDate":"2013-11-01T11:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3173,"text":"Proceedings of the Royal Society B","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for a receiver bias underlying female preference for a male mating pheromone in sea lamprey","docAbstract":"Receiver bias models suggest that a male sexual signal became exaggerated to match a pre-existing sensory, perceptual or cognitive disposition of the female. Accordingly, these models predict that females of related taxa possessing the ancestral state of signalling evolved preference for the male trait in a non-sexual context. We postulated that female preference for the male-released bile alcohol mating pheromone, 3 keto petromyzonol sulfate (3kPZS), of the sea lamprey (Petromyzon marinus) evolved as a result of a receiver bias. In particular, we propose that migratory silver lamprey (Ichthyomyzon unicuspis), a basal member of the Petromyzontidae, evolved a preference for 3kPZS released by stream-resident larvae as a means of identifying productive habitat for offspring. Larval silver lamprey released 3kPZS at rates sufficient to be detected by migratory lampreys. Females responded to 3kPZS by exhibiting upstream movement behaviours relevant in a migratory context, but did not exhibit proximate behaviours important to mate search and spawning. Male silver lamprey did not release 3kPZS at rates sufficient to be detected by females in natural high-volume stream environments. We infer that female silver lamprey cue onto 3kPZS excreted by stream-resident larvae as a mechanism to locate habitat conducive to offspring survival and that males do not signal with 3kPZS. We suggest that this female preference for a male signal in a non-sexual context represents a bias leading to the sexual signalling observed in sea lamprey.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the Royal Society B","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2013.1966","usgsCitation":"Buchinger, T.J., Wang, H., Li, W., and Johnson, N.S., 2013, Evidence for a receiver bias underlying female preference for a male mating pheromone in sea lamprey: Proceedings of the Royal Society B, v. 280, no. 1771, 8 p., https://doi.org/10.1098/rspb.2013.1966.","productDescription":"8 p.","numberOfPages":"8","ipdsId":"IP-051211","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":473459,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1098/rspb.2013.1966","text":"External Repository"},{"id":278977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278976,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1098/rspb.2013.1966"}],"country":"United States","state":"Michigan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.42,41.7 ], [ -90.42,48.24 ], [ -82.4,48.24 ], [ -82.4,41.7 ], [ -90.42,41.7 ] ] ] } } ] }","volume":"280","issue":"1771","noUsgsAuthors":false,"publicationDate":"2013-11-22","publicationStatus":"PW","scienceBaseUri":"527e586ae4b02d2057dd95de","contributors":{"authors":[{"text":"Buchinger, Tyler J.","contributorId":40508,"corporation":false,"usgs":true,"family":"Buchinger","given":"Tyler","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":483483,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Huiyong","contributorId":79007,"corporation":false,"usgs":true,"family":"Wang","given":"Huiyong","affiliations":[],"preferred":false,"id":483485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Weiming","contributorId":65440,"corporation":false,"usgs":true,"family":"Li","given":"Weiming","affiliations":[],"preferred":false,"id":483484,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":483482,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70048480,"text":"70048480 - 2013 - Resilience to stress and disturbance, and resistance to Bromus tectorum L. invasion in cold desert shrublands of western North America","interactions":[],"lastModifiedDate":"2017-11-24T17:25:42","indexId":"70048480","displayToPublicDate":"2013-11-01T11:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Resilience to stress and disturbance, and resistance to Bromus tectorum L. invasion in cold desert shrublands of western North America","title":"Resilience to stress and disturbance, and resistance to Bromus tectorum L. invasion in cold desert shrublands of western North America","docAbstract":"Alien grass invasions in arid and semi-arid ecosystems are resulting in grass–fire cycles and ecosystem-level transformations that severely diminish ecosystem services. Our capacity to address the rapid and complex changes occurring in these ecosystems can be enhanced by developing an understanding of the environmental factors and ecosystem attributes that determine resilience of native ecosystems to stress and disturbance, and resistance to invasion. Cold desert shrublands occur over strong environmental gradients and exhibit significant differences in resilience and resistance. They provide an excellent opportunity to increase our understanding of these concepts. Herein, we examine a series of linked questions about (a) ecosystem attributes that determine resilience and resistance along environmental gradients, (b) effects of disturbances like livestock grazing and altered fire regimes and of stressors like rapid climate change, rising CO2, and N deposition on resilience and resistance, and (c) interacting effects of resilience and resistance on ecosystems with different environmental conditions. We conclude by providing strategies for the use of resilience and resistance concepts in a management context. At ecological site scales, state and transition models are used to illustrate how differences in resilience and resistance influence potential alternative vegetation states, transitions among states, and thresholds. At landscape scales management strategies based on resilience and resistance—protection, prevention, restoration, and monitoring and adaptive management—are used to determine priority management areas and appropriate actions.","language":"English","publisher":"Springer","doi":"10.1007/s10021-013-9725-5","usgsCitation":"Chambers, J., Bradley, B.A., Brown, C.S., D'Antonio, C., Germino, M., Grace, J.B., Hardegree, S., Miller, R., and Pyke, D.A., 2013, Resilience to stress and disturbance, and resistance to Bromus tectorum L. invasion in cold desert shrublands of western North America: Ecosystems, v. 17, no. 2, p. 360-375, https://doi.org/10.1007/s10021-013-9725-5.","productDescription":"16 p.","startPage":"360","endPage":"375","ipdsId":"IP-045776","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":473460,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.722.5016","text":"External Repository"},{"id":280721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-11-14","publicationStatus":"PW","scienceBaseUri":"53cd70a4e4b0b2908510726f","contributors":{"authors":[{"text":"Chambers, Jeanne C.","contributorId":75889,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeanne C.","affiliations":[],"preferred":false,"id":484796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradley, Bethany A.","contributorId":40117,"corporation":false,"usgs":true,"family":"Bradley","given":"Bethany","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Cynthia S.","contributorId":86095,"corporation":false,"usgs":true,"family":"Brown","given":"Cynthia","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":484797,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"D'Antonio, Carla","contributorId":25686,"corporation":false,"usgs":true,"family":"D'Antonio","given":"Carla","affiliations":[],"preferred":false,"id":484793,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Germino, Matthew J.","contributorId":50029,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[],"preferred":false,"id":484795,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":484789,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hardegree, Stuart P.","contributorId":22238,"corporation":false,"usgs":true,"family":"Hardegree","given":"Stuart P.","affiliations":[],"preferred":false,"id":484792,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miller, Richard F.","contributorId":12964,"corporation":false,"usgs":true,"family":"Miller","given":"Richard F.","affiliations":[],"preferred":false,"id":484791,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","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":484790,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70099269,"text":"70099269 - 2013 - The North American Breeding Bird Survey 1966–2011: Summary analysis and species accounts","interactions":[],"lastModifiedDate":"2015-12-03T13:46:31","indexId":"70099269","displayToPublicDate":"2013-11-01T11:36:06","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2884,"text":"North American Fauna","active":true,"publicationSubtype":{"id":10}},"title":"The North American Breeding Bird Survey 1966–2011: Summary analysis and species accounts","docAbstract":"

The North American Breeding Bird Survey is a roadside, count-based survey conducted by volunteer observers. Begun in 1966, it now is a primary source of information on spatial and temporal patterns of population change for North American birds. We analyze population change for states, provinces, Bird Conservation Regions, and the entire survey within the contiguous United States and southern Canada for 426 species using a hierarchical log-linear model that controls for observer effects in counting. We also map relative abundance and population change for each species using a spatial smoothing of data at the scale of survey routes. We present results in accounts that describe major breeding habitats, migratory status, conservation status, and population trends for each species at several geographic scales. We also present composite results for groups of species categorized by habitats and migratory status. The survey varies greatly among species in percentage of species' range covered and precision of results, but consistent patterns of decline occur among eastern forest, grassland, and aridland obligate birds while generalist bird species are increasing.

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covariates","interactions":[],"lastModifiedDate":"2014-01-13T11:10:43","indexId":"70047680","displayToPublicDate":"2013-11-01T11:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A hierarchical nest survival model integrating incomplete temporally varying covariates","docAbstract":"Nest success is a critical determinant of the dynamics of avian populations, and nest survival modeling has played a key role in advancing avian ecology and management. Beginning with the development of daily nest survival models, and proceeding through subsequent extensions, the capacity for modeling the effects of hypothesized factors on nest survival has expanded greatly. We extend nest survival models further by introducing an approach to deal with incompletely observed, temporally varying covariates using a hierarchical model. Hierarchical modeling offers a way to separate process and observational components of demographic models to obtain estimates of the parameters of primary interest, and to evaluate structural effects of ecological and management interest. We built a hierarchical model for daily nest survival to analyze nest data from reintroduced whooping cranes (Grus americana) in the Eastern Migratory Population. This reintroduction effort has been beset by poor reproduction, apparently due primarily to nest abandonment by breeding birds. We used the model to assess support for the hypothesis that nest abandonment is caused by harassment from biting insects. We obtained indices of blood-feeding insect populations based on the spatially interpolated counts of insects captured in carbon dioxide traps. However, insect trapping was not conducted daily, and so we had incomplete information on a temporally variable covariate of interest. We therefore supplemented our nest survival model with a parallel model for estimating the values of the missing insect covariates. We used Bayesian model selection to identify the best predictors of daily nest survival. Our results suggest that the black fly Simulium annulus may be negatively affecting nest survival of reintroduced whooping cranes, with decreasing nest survival as abundance of S. annulus increases. The modeling framework we have developed will be applied in the future to a larger data set to evaluate the biting-insect hypothesis and other hypotheses for nesting failure in this reintroduced population; resulting inferences will support ongoing efforts to manage this population via an adaptive management approach. Wider application of our approach offers promise for modeling the effects of other temporally varying, but imperfectly observed covariates on nest survival, including the possibility of modeling temporally varying covariates collected from incubating adults.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/ece3.822","usgsCitation":"Converse, S., Royle, J., Adler, P.H., Urbanek, R.P., and Barzan, J.A., 2013, A hierarchical nest survival model integrating incomplete temporally varying covariates: Ecology and Evolution, v. 3, no. 13, p. 4439-4447, https://doi.org/10.1002/ece3.822.","productDescription":"9 p.","startPage":"4439","endPage":"4447","numberOfPages":"9","ipdsId":"IP-050325","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473462,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.822","text":"Publisher Index Page"},{"id":280859,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/ece3.822"},{"id":280860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Necedah National Wildlife Refuge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.188271,44.039059 ], [ -90.188271,44.098374 ], [ -90.087591,44.098374 ], [ -90.087591,44.039059 ], [ -90.188271,44.039059 ] ] ] } } ] }","volume":"3","issue":"13","noUsgsAuthors":false,"publicationDate":"2013-10-10","publicationStatus":"PW","scienceBaseUri":"53cd49efe4b0b290850ef78c","chorus":{"doi":"10.1002/ece3.822","url":"http://dx.doi.org/10.1002/ece3.822","publisher":"Wiley-Blackwell","authors":"Converse Sarah J., Royle J. 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This work presents an objective framework for evaluating competing range performance models. Model selection based on the Akaike’s Information Criterion (AIC) is presented for the type of data collected during a typical human observer and target identification experiment. These methods are then demonstrated on observer responses to both visible and infrared imagery in which one of three maritime targets was placed at various ranges. We compare the performance of a number of different models, including those appearing previously in the literature. We conclude that our model-based approach offers substantial improvements over the traditional approach to inference, including increased precision and the ability to make predictions for some distances other than the specific set for which experimental trials were conducted.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Optical Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SPIE","doi":"10.1117/1.OE.52.11.113108","usgsCitation":"Nichols, J., Hines, J., and Nichols, J., 2013, Selecting among competing models of electro-optic, infrared camera system range performance: Optical Engineering, v. 52, no. 11, 9 p., https://doi.org/10.1117/1.OE.52.11.113108.","productDescription":"9 p.","numberOfPages":"9","onlineOnly":"Y","ipdsId":"IP-052140","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":280709,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279016,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1117/1.OE.52.11.113108"}],"volume":"52","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7254e4b0b290851083f0","contributors":{"authors":[{"text":"Nichols, Jonathan M.","contributorId":45945,"corporation":false,"usgs":true,"family":"Nichols","given":"Jonathan M.","affiliations":[],"preferred":false,"id":486126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hines, James E. jhines@usgs.gov","contributorId":3506,"corporation":false,"usgs":true,"family":"Hines","given":"James E.","email":"jhines@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":486125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":486124,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70055623,"text":"70055623 - 2013 - Simulated tsunami inundation for a range of Cascadia megathrust earthquake scenarios at Bandon, Oregon, USA","interactions":[],"lastModifiedDate":"2014-01-08T10:40:20","indexId":"70055623","displayToPublicDate":"2013-11-01T10:31:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Simulated tsunami inundation for a range of Cascadia megathrust earthquake scenarios at Bandon, Oregon, USA","docAbstract":"Characterizations of tsunami hazards along the Cascadia subduction zone hinge on uncertainties in megathrust rupture models used for simulating tsunami inundation. To explore these uncertainties, we constructed 15 megathrust earthquake scenarios using rupture models that supply the initial conditions for tsunami simulations at Bandon, Oregon. Tsunami inundation varies with the amount and distribution of fault slip assigned to rupture models, including models where slip is partitioned to a splay fault in the accretionary wedge and models that vary the updip limit of slip on a buried fault. Constraints on fault slip come from onshore and offshore paleoseismological evidence. We rank each rupture model using a logic tree that evaluates a model’s consistency with geological and geophysical data. The scenarios provide inputs to a hydrodynamic model, SELFE, used to simulate tsunami generation, propagation, and inundation on unstructured grids with <5–15 m resolution in coastal areas. Tsunami simulations delineate the likelihood that Cascadia tsunamis will exceed mapped inundation lines. Maximum wave elevations at the shoreline varied from ∼4 m to 25 m for earthquakes with 9–44 m slip and Mw 8.7–9.2. Simulated tsunami inundation agrees with sparse deposits left by the A.D. 1700 and older tsunamis. Tsunami simulations for large (22–30 m slip) and medium (14–19 m slip) splay fault scenarios encompass 80%–95% of all inundation scenarios and provide reasonable guidelines for land-use planning and coastal development. The maximum tsunami inundation simulated for the greatest splay fault scenario (36–44 m slip) can help to guide development of local tsunami evacuation zones.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00899.1","usgsCitation":"Witter, R., Zhang, Y.J., Wang, K., Priest, G., Goldfinger, C., Stimely, L., English, J.T., and Ferro, P.A., 2013, Simulated tsunami inundation for a range of Cascadia megathrust earthquake scenarios at Bandon, Oregon, USA: Geosphere, v. 9, no. 6, p. 1783-1803, https://doi.org/10.1130/GES00899.1.","productDescription":"21 p.","startPage":"1783","endPage":"1803","numberOfPages":"21","ipdsId":"IP-052081","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":473463,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00899.1","text":"Publisher Index Page"},{"id":280705,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280704,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GES00899.1"}],"country":"United States","state":"Oregon","city":"Bandon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.5,42.0 ], [ -124.5,44.0 ], [ -124.0,44.0 ], [ -124.0,42.0 ], [ -124.5,42.0 ] ] ] } } ] }","volume":"9","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd72cfe4b0b290851088c5","contributors":{"authors":[{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":486155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Yinglong J.","contributorId":100281,"corporation":false,"usgs":true,"family":"Zhang","given":"Yinglong","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":486161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Kelin","contributorId":15266,"corporation":false,"usgs":true,"family":"Wang","given":"Kelin","affiliations":[],"preferred":false,"id":486156,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Priest, George R.","contributorId":50950,"corporation":false,"usgs":true,"family":"Priest","given":"George R.","affiliations":[],"preferred":false,"id":486157,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldfinger, Chris","contributorId":59460,"corporation":false,"usgs":true,"family":"Goldfinger","given":"Chris","affiliations":[],"preferred":false,"id":486159,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stimely, Laura","contributorId":71092,"corporation":false,"usgs":true,"family":"Stimely","given":"Laura","email":"","affiliations":[],"preferred":false,"id":486160,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"English, John T.","contributorId":100282,"corporation":false,"usgs":true,"family":"English","given":"John","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":486162,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ferro, Paul A.","contributorId":58179,"corporation":false,"usgs":true,"family":"Ferro","given":"Paul","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":486158,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70148264,"text":"70148264 - 2013 - Sediment transport patterns in the San Francisco Bay Coastal System from cross-validation of bedform asymmetry and modeled residual flux","interactions":[],"lastModifiedDate":"2020-06-05T14:17:16.581326","indexId":"70148264","displayToPublicDate":"2013-11-01T10:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Sediment transport patterns in the San Francisco Bay Coastal System from cross-validation of bedform asymmetry and modeled residual flux","docAbstract":"

The morphology of ~ 45,000 bedforms from 13 multibeam bathymetry surveys was used as a proxy for identifying net bedload sediment transport directions and pathways throughout the San Francisco Bay estuary and adjacent outer coast. The spatially-averaged shape asymmetry of the bedforms reveals distinct pathways of ebb and flood transport. Additionally, the region-wide, ebb-oriented asymmetry of 5% suggests net seaward-directed transport within the estuarine-coastal system, with significant seaward asymmetry at the mouth of San Francisco Bay (11%), through the northern reaches of the Bay (7-8%), and among the largest bedforms (21% for λ > 50 m). This general indication for the net transport of sand to the open coast strongly suggests that anthropogenic removal of sediment from the estuary, particularly along clearly defined seaward transport pathways, will limit the supply of sand to chronically eroding, open-coast beaches. The bedform asymmetry measurements significantly agree (up to ~ 76%) with modeled annual residual transport directions derived from a hydrodynamically-calibrated numerical model, and the orientation of adjacent, flow-sculpted seafloor features such as mega-flute structures, providing a comprehensive validation of the technique. The methods described in this paper to determine well-defined, cross-validated sediment transport pathways can be applied to estuarine-coastal systems globally where bedforms are present. The results can inform and improve regional sediment management practices to more efficiently utilize often limited sediment resources and mitigate current and future sediment supply-related impacts.

","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.margeo.2012.10.011","usgsCitation":"Barnard, P., Erikson, L., Elias, E.P., and Dartnell, P., 2013, Sediment transport patterns in the San Francisco Bay Coastal System from cross-validation of bedform asymmetry and modeled residual flux: Marine Geology, v. 345, p. 72-95, https://doi.org/10.1016/j.margeo.2012.10.011.","productDescription":"24 p.","startPage":"72","endPage":"95","numberOfPages":"24","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042408","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":300765,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Francisco","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.67333984374999,\n 37.913867495923746\n ],\n [\n -122.5250244140625,\n 38.11727165830543\n ],\n [\n -122.23937988281251,\n 38.06106741381199\n ],\n [\n -122.4151611328125,\n 37.93986540897977\n ],\n [\n -122.32177734375,\n 37.896530447543\n ],\n [\n -121.92626953124999,\n 37.461778479617465\n ],\n [\n -122.06359863281249,\n 37.41816326969145\n ],\n [\n -122.36022949218749,\n 37.58376576718623\n ],\n [\n -122.5250244140625,\n 37.59247151101911\n ],\n [\n -122.51953124999999,\n 37.714244967649265\n ],\n [\n -122.5689697265625,\n 37.83148014503288\n ],\n [\n -122.67333984374999,\n 37.913867495923746\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"345","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55659955e4b0d9246a9eb642","contributors":{"editors":[{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":790425,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":790426,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":790427,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":138921,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":547575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erikson, Li H. lerikson@usgs.gov","contributorId":138920,"corporation":false,"usgs":true,"family":"Erikson","given":"Li H.","email":"lerikson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":547574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elias, Edwin P.L.","contributorId":47295,"corporation":false,"usgs":true,"family":"Elias","given":"Edwin","email":"","middleInitial":"P.L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":547573,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547576,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70048754,"text":"70048754 - 2013 - Climate change and watershed mercury export: a multiple projection and model analysis","interactions":[],"lastModifiedDate":"2013-11-01T10:36:47","indexId":"70048754","displayToPublicDate":"2013-11-01T10:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and watershed mercury export: a multiple projection and model analysis","docAbstract":"Future shifts in climatic conditions may impact watershed mercury (Hg) dynamics and transport. An ensemble of watershed models was applied in the present study to simulate and evaluate the responses of hydrological and total Hg (THg) fluxes from the landscape to the watershed outlet and in-stream THg concentrations to contrasting climate change projections for a watershed in the southeastern coastal plain of the United States. Simulations were conducted under stationary atmospheric deposition and land cover conditions to explicitly evaluate the effect of projected precipitation and temperature on watershed Hg export (i.e., the flux of Hg at the watershed outlet). Based on downscaled inputs from 2 global circulation models that capture extremes of projected wet (Community Climate System Model, Ver 3 [CCSM3]) and dry (ECHAM4/HOPE-G [ECHO]) conditions for this region, watershed model simulation results suggest a decrease of approximately 19% in ensemble-averaged mean annual watershed THg fluxes using the ECHO climate-change model and an increase of approximately 5% in THg fluxes with the CCSM3 model. Ensemble-averaged mean annual ECHO in-stream THg concentrations increased 20%, while those of CCSM3 decreased by 9% between the baseline and projected simulation periods. Watershed model simulation results using both climate change models suggest that monthly watershed THg fluxes increase during the summer, when projected flow is higher than baseline conditions. The present study's multiple watershed model approach underscores the uncertainty associated with climate change response projections and their use in climate change management decisions. Thus, single-model predictions can be misleading, particularly in developmental stages of watershed Hg modeling.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/etc.2284","usgsCitation":"Golden, H., Knightes, C.D., Conrads, P., Feaster, T., Davis, G.M., Benedict, S., and Bradley, P.M., 2013, Climate change and watershed mercury export: a multiple projection and model analysis: Environmental Toxicology and Chemistry, v. 32, no. 9, p. 2165-2174, https://doi.org/10.1002/etc.2284.","productDescription":"10 p.","startPage":"2165","endPage":"2174","numberOfPages":"10","ipdsId":"IP-045661","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":278632,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278631,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2284"}],"country":"United States","state":"South Carolina","otherGeospatial":"Mctier Creek Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.666667,33.7 ], [ -81.666667,33.883333 ], [ -81.533333,33.883333 ], [ -81.533333,33.7 ], [ -81.666667,33.7 ] ] ] } } ] }","volume":"32","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-05-22","publicationStatus":"PW","scienceBaseUri":"5274c658e4b089748f071321","contributors":{"authors":[{"text":"Golden, Heather E.","contributorId":94914,"corporation":false,"usgs":true,"family":"Golden","given":"Heather E.","affiliations":[],"preferred":false,"id":485574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knightes, Christopher D.","contributorId":32666,"corporation":false,"usgs":true,"family":"Knightes","given":"Christopher","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":485573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":1109,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485570,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, Gary M.","contributorId":12741,"corporation":false,"usgs":true,"family":"Davis","given":"Gary","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":485572,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benedict, Stephen T. benedict@usgs.gov","contributorId":3198,"corporation":false,"usgs":true,"family":"Benedict","given":"Stephen T.","email":"benedict@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485571,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485568,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70094651,"text":"70094651 - 2013 - Woody debris volume depletion through decay: implications for biomass and carbon accounting","interactions":[],"lastModifiedDate":"2014-02-24T10:34:13","indexId":"70094651","displayToPublicDate":"2013-11-01T10:29:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Woody debris volume depletion through decay: implications for biomass and carbon accounting","docAbstract":"Woody debris decay rates have recently received much attention because of the need to quantify temporal changes in forest carbon stocks. Published decay rates, available for many species, are commonly used to characterize deadwood biomass and carbon depletion. However, decay rates are often derived from reductions in wood density through time, which when used to model biomass and carbon depletion are known to underestimate rate loss because they fail to account for volume reduction (changes in log shape) as decay progresses. We present a method for estimating changes in log volume through time and illustrate the method using a chronosequence approach. The method is based on the observation, confirmed herein, that decaying logs have a collapse ratio (cross-sectional height/width) that can serve as a surrogate for the volume remaining. Combining the resulting volume loss with concurrent changes in wood density from the same logs then allowed us to quantify biomass and carbon depletion for three study species. Results show that volume, density, and biomass follow distinct depletion curves during decomposition. Volume showed an initial lag period (log dimensions remained unchanged), even while wood density was being reduced. However, once volume depletion began, biomass loss (the product of density and volume depletion) occurred much more rapidly than density alone. At the temporal limit of our data, the proportion of the biomass remaining was roughly half that of the density remaining. Accounting for log volume depletion, as demonstrated in this study, provides a comprehensive characterization of deadwood decomposition, thereby improving biomass-loss and carbon-accounting models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10021-013-9682-z","usgsCitation":"Fraver, S., Milo, A.M., Bradford, J.B., D’Amato, A.W., Kenefic, L., Palik, B.J., Woodall, C.W., and Brissette, J., 2013, Woody debris volume depletion through decay: implications for biomass and carbon accounting: Ecosystems, v. 16, no. 7, p. 1262-1272, https://doi.org/10.1007/s10021-013-9682-z.","productDescription":"11 p.","startPage":"1262","endPage":"1272","numberOfPages":"11","ipdsId":"IP-042518","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":282669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282639,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10021-013-9682-z"}],"country":"United States","state":"Minnesota","otherGeospatial":"Laurentian Mixed Forest Province","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.81,45.41 ], [ -95.81,49.38 ], [ -89.49,49.38 ], [ -89.49,45.41 ], [ -95.81,45.41 ] ] ] } } ] }","volume":"16","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-06-08","publicationStatus":"PW","scienceBaseUri":"53cd7dcce4b0b2908510f9b6","contributors":{"authors":[{"text":"Fraver, Shawn","contributorId":91379,"corporation":false,"usgs":false,"family":"Fraver","given":"Shawn","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":490749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milo, Amy M.","contributorId":83441,"corporation":false,"usgs":true,"family":"Milo","given":"Amy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":490747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":490742,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"D’Amato, Anthony W.","contributorId":28140,"corporation":false,"usgs":false,"family":"D’Amato","given":"Anthony","email":"","middleInitial":"W.","affiliations":[{"id":6735,"text":"University of Vermont, Rubenstein School of Environment and Natural Resources","active":true,"usgs":false},{"id":13478,"text":"Department of Forest Resources, University of Minnesota, St. Paul, Minnesota (Correspondence to: russellm@umn.edu)","active":true,"usgs":false}],"preferred":false,"id":490743,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kenefic, Laura","contributorId":86685,"corporation":false,"usgs":true,"family":"Kenefic","given":"Laura","affiliations":[],"preferred":false,"id":490748,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Palik, Brian J.","contributorId":78619,"corporation":false,"usgs":true,"family":"Palik","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":490746,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Woodall, Christopher W.","contributorId":53696,"corporation":false,"usgs":false,"family":"Woodall","given":"Christopher","email":"","middleInitial":"W.","affiliations":[{"id":7264,"text":"USDA Forest Service, Northern Research Station, Beltsville, MD 20705","active":true,"usgs":false}],"preferred":false,"id":490745,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brissette, John","contributorId":50077,"corporation":false,"usgs":true,"family":"Brissette","given":"John","email":"","affiliations":[],"preferred":false,"id":490744,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70094674,"text":"70094674 - 2013 - Seasonal variations in suspended-sediment dynamics in the tidal reach of an estuarine tributary","interactions":[],"lastModifiedDate":"2020-06-05T14:34:15.535229","indexId":"70094674","displayToPublicDate":"2013-11-01T10:09:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal variations in suspended-sediment dynamics in the tidal reach of an estuarine tributary","docAbstract":"Quantifying sediment supply from estuarine tributaries is an important component of developing a sediment budget, and common techniques for estimating supply are based on gages located above tidal influence. However, tidal interactions near tributary mouths can affect the magnitude and direction of sediment supply to the open waters of the estuary. We investigated suspended-sediment dynamics in the tidal reach of Corte Madera Creek, an estuarine tributary of San Francisco Bay, using moored acoustic and optical instruments. Flux of both water and suspended-sediment were calculated from observed water velocity and turbidity for two periods in each of wet and dry seasons during 2010. During wet periods, net suspended-sediment flux was seaward; tidally filtered flux was dominated by the advective component. In contrast, during dry periods, net flux was landward; tidally filtered flux was dominated by the dispersive component. The mechanisms generating this landward flux varied; during summer we attributed wind–wave resuspension in the estuary and subsequent transport on flood tides, whereas during autumn we attributed increased spring tide flood velocity magnitude leading to local resuspension. A quadrant analysis similar to that employed in turbulence studies was developed to summarize flux time series by quantifying the relative importance of sediment transport events. These events are categorized by the direction of velocity (flood vs. ebb) and the magnitude of concentration relative to tidally averaged conditions (relatively turbid vs. relatively clear). During wet periods, suspended-sediment flux was greatest in magnitude during relatively turbid ebbs, whereas during dry periods it was greatest in magnitude during relatively turbid floods. A conceptual model was developed to generalize seasonal differences in suspended-sediment dynamics; model application to this study demonstrated the importance of few, relatively large events on net suspended-sediment flux. These results suggest that other estuarine tributaries may alternate seasonally as sediment sinks or sources, leading to the conclusion that calculations of estuary sediment supply from local tributaries that do not account for tidal reaches may be overestimates.","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2013.03.005","usgsCitation":"Downing-Kunz, M., and Schoellhamer, D., 2013, Seasonal variations in suspended-sediment dynamics in the tidal reach of an estuarine tributary: Marine Geology, v. 345, p. 314-326, https://doi.org/10.1016/j.margeo.2013.03.005.","productDescription":"13 p.","startPage":"314","endPage":"326","numberOfPages":"13","ipdsId":"IP-021925","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":282667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Corte Madera Creek, San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.666667,37.916667 ], [ -122.666667,38.0 ], [ -122.5,38.0 ], [ -122.5,37.916667 ], [ -122.666667,37.916667 ] ] ] } } ] }","volume":"345","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd71b5e4b0b29085107db2","contributors":{"editors":[{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":790440,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":790441,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":790442,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Downing-Kunz, Maureen A. 0000-0002-4879-0318","orcid":"https://orcid.org/0000-0002-4879-0318","contributorId":57552,"corporation":false,"usgs":true,"family":"Downing-Kunz","given":"Maureen A.","affiliations":[],"preferred":false,"id":490796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490795,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048718,"text":"70048718 - 2013 - Co-occurrence of invasive Cuban Treefrogs and native treefrogs in PVC pipe refugia","interactions":[],"lastModifiedDate":"2019-07-01T11:59:48","indexId":"70048718","displayToPublicDate":"2013-11-01T10:04:11","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Co-occurrence of invasive Cuban Treefrogs and native treefrogs in PVC pipe refugia","docAbstract":"

The Cuban Treefrog (Osteopilus septentrionalis) was first introduced to Florida at Key West. Since this introduction, Cuban Treefrogs have spread to Miami and are now established throughout most of peninsular Florida. Cuban Treefrogs can become very abundant in areas they colonize. Several reasons contribute to their success, including a generalist diet, high fecundity and the ability to reproduce year-round, and use of disturbed or human-modified habitats. Scientists and managers are concerned that Cuban Treefrogs may contribute to the decline of native treefrogs. Cuban Treefrogs may exclude native treefrogs through both competition and predation. Because the evidence from our study and others suggests that Green and Squirrel Treefrogs do not alter their behavior to avoid Cuban Treefrogs, there is cause for concern that sampling with PVC pipes may increase the vulnerability of the native species to predation. This possibility needs further research, including whether other species of native treefrogs sympatric to where Cuban Treefrogs have invaded are also naïve to the possible threat posed by these frogs, and also if native treefrogs eventually learn to avoid Cuban Treefrogs.

","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Elston, L.M., Waddle, J., Rice, K.G., and Percival, H.F., 2013, Co-occurrence of invasive Cuban Treefrogs and native treefrogs in PVC pipe refugia: Herpetological Review, v. 44, no. 3, p. 406-409.","productDescription":"4 p.","startPage":"406","endPage":"409","ipdsId":"IP-024733","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":278904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278597,"type":{"id":15,"text":"Index Page"},"url":"https://zenscientist.com/index.php/zenscientist-news/entry/herpetological-review-44-3"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.5212,24.85 ], [ -81.5212,25.8918 ], [ -80.3887,25.8918 ], [ -80.3887,24.85 ], [ -81.5212,24.85 ] ] ] } } ] }","volume":"44","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527cc48ae4b0850ea050ce3a","contributors":{"authors":[{"text":"Elston, Laura M.","contributorId":34028,"corporation":false,"usgs":true,"family":"Elston","given":"Laura","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":485484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, J. Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":89982,"corporation":false,"usgs":true,"family":"Waddle","given":"J. Hardin","affiliations":[],"preferred":false,"id":485485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rice, Kenneth G. 0000-0001-8282-1088 krice@usgs.gov","orcid":"https://orcid.org/0000-0001-8282-1088","contributorId":117,"corporation":false,"usgs":true,"family":"Rice","given":"Kenneth","email":"krice@usgs.gov","middleInitial":"G.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":485482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Percival, H. Franklin percivalf@usgs.gov","contributorId":2424,"corporation":false,"usgs":true,"family":"Percival","given":"H.","email":"percivalf@usgs.gov","middleInitial":"Franklin","affiliations":[],"preferred":true,"id":485483,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70132325,"text":"70132325 - 2013 - Population-level thermal performance of a cold-water ectotherm is linked to ontogeny and local environmental heterogeneity","interactions":[],"lastModifiedDate":"2020-12-28T14:47:31.588405","indexId":"70132325","displayToPublicDate":"2013-11-01T10:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Population-level thermal performance of a cold-water ectotherm is linked to ontogeny and local environmental heterogeneity","docAbstract":"
  1. Negative effects of global warming are predicted to be most severe for species that occupy a narrow range of temperatures, have limited dispersal abilities or have long generation times. These are characteristics typical of many species that occupy small, cold streams.
  2. Habitat use, vulnerabilities and mechanisms for coping with local conditions can differ among populations and ontogenetically within populations, potentially affecting species‐level responses to climate change. However, we still have little knowledge of mean thermal performance for many vertebrates, let alone variation in performance among populations. Assessment of these sources of variation in thermal performance is critical for projecting the effects of climate change on species and for identifying management strategies to ameliorate its effects.
  3. To gauge how populations of the Rocky Mountain tailed frog (Ascaphus montanus) might respond to long‐term effects of climate change, we measured the ability of tadpoles from six populations in Glacier National Park (Montana, U.S.A.) to acclimate to a range of temperatures. We compared survival among populations according to tadpole age (1 year or 2 years) and according to the mean and variance of late‐summer temperatures in natal streams.
  4. The ability of tadpoles to acclimate to warm temperatures increased with age and with variance in late‐summer temperature of natal streams. Moreover, performance differed among populations from the same catchment.
  5. Our experiments with a cold‐water species show that population‐level performance varies across small geographic scales and is linked to local environmental heterogeneity. This variation could influence the rate and mode of species‐level responses to climate change, both by facilitating local persistence in the face of changes in thermal conditions and by providing thermally tolerant colonists to neighbouring populations.
","language":"English","publisher":"Wiley","doi":"10.1111/fwb.12202","usgsCitation":"Hossack, B.R., Lowe, W.H., Talbott, M.J., Corn, P.S., Webb, M.A., and Kappenman, K.M., 2013, Population-level thermal performance of a cold-water ectotherm is linked to ontogeny and local environmental heterogeneity: Freshwater Biology, v. 58, no. 11, p. 2215-2225, https://doi.org/10.1111/fwb.12202.","productDescription":"11 p.","startPage":"2215","endPage":"2225","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044557","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":381646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park, Montana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.103515625,\n 47.100044694025215\n ],\n [\n -110.654296875,\n 47.100044694025215\n ],\n [\n -110.654296875,\n 48.922499263758255\n ],\n [\n -116.103515625,\n 48.922499263758255\n ],\n [\n -116.103515625,\n 47.100044694025215\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"58","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-07-15","publicationStatus":"PW","scienceBaseUri":"5465d636e4b04d4b7dbd6635","contributors":{"authors":[{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":522750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowe, Windsor H.","contributorId":179176,"corporation":false,"usgs":false,"family":"Lowe","given":"Windsor","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":807290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Talbott, Mariah J.","contributorId":126729,"corporation":false,"usgs":false,"family":"Talbott","given":"Mariah","email":"","middleInitial":"J.","affiliations":[{"id":6584,"text":"United States Fish and Wildlife Service–Bozeman Fish Technology","active":true,"usgs":false}],"preferred":false,"id":522753,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corn, P. Stephen 0000-0002-4106-6335 steve_corn@usgs.gov","orcid":"https://orcid.org/0000-0002-4106-6335","contributorId":3227,"corporation":false,"usgs":true,"family":"Corn","given":"P.","email":"steve_corn@usgs.gov","middleInitial":"Stephen","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":522751,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kappenman, Kevin M.","contributorId":198076,"corporation":false,"usgs":false,"family":"Kappenman","given":"Kevin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":807292,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Webb, Molly A. H.","contributorId":152118,"corporation":false,"usgs":false,"family":"Webb","given":"Molly","email":"","middleInitial":"A. H.","affiliations":[{"id":18870,"text":"Bozeman Fish Technology Center, U.S. Fish and Wildlife Service, Bozeman, Montana 59715","active":true,"usgs":false}],"preferred":false,"id":807291,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70125300,"text":"70125300 - 2013 - Chronology and provenance of last-glacial (Peoria) loess in western Iowa and paleoclimatic implications","interactions":[],"lastModifiedDate":"2014-09-16T09:55:14","indexId":"70125300","displayToPublicDate":"2013-11-01T09:54:19","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Chronology and provenance of last-glacial (Peoria) loess in western Iowa and paleoclimatic implications","docAbstract":"Geologic archives show that the Earth was dustier during the last glacial period. One model suggests that increased gustiness (stronger, more frequent winds) enhanced dustiness. We tested this at Loveland, Iowa, one of the thickest deposits of last-glacial-age (Peoria) loess in the world. Based on K/Rb and Ba/Rb, loess was derived not only from glaciogenic sources of the Missouri River, but also distal loess from non-glacial sources in Nebraska. Optically stimulated luminescence (OSL) ages provide the first detailed chronology of Peoria Loess at Loveland. Deposition began after ~ 27 ka and continued until ~ 17 ka. OSL ages also indicate that mass accumulation rates (MARs) of loess were not constant. MARs were highest and grain size was coarsest during the time of middle Peoria Loess accretion, ~ 23 ka, when ~ 10 m of loess accumulated in no more than ~ 2000 yr and possibly much less. The timing of coarsest grain size and highest MAR, indicating strongest winds, coincides with a summer-insolation minimum at high latitudes in North America and the maximum southward extent of the Laurentide ice sheet. These observations suggest that increased dustiness during the last glacial period was driven largely by enhanced gustiness, forced by a steepened meridional temperature gradient.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Academic Press","publisherLocation":"New York, NY","doi":"10.1016/j.yqres.2013.06.006","usgsCitation":"Muhs, D.R., Bettis, E., Roberts, H.M., Harlan, S.S., Paces, J.B., and Reynolds, R.L., 2013, Chronology and provenance of last-glacial (Peoria) loess in western Iowa and paleoclimatic implications: Quaternary Research, v. 80, no. 3, p. 468-481, https://doi.org/10.1016/j.yqres.2013.06.006.","productDescription":"14 p.","startPage":"468","endPage":"481","numberOfPages":"14","ipdsId":"IP-042020","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":293902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293901,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.yqres.2013.06.006"}],"volume":"80","issue":"3","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"54195127e4b091c7ffc8e5e9","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":1857,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"dmuhs@usgs.gov","middleInitial":"R.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":true,"id":501186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bettis, E. Arthur III","contributorId":72822,"corporation":false,"usgs":true,"family":"Bettis","given":"E. Arthur","suffix":"III","affiliations":[],"preferred":false,"id":501190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, Helen M.","contributorId":16691,"corporation":false,"usgs":true,"family":"Roberts","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":501189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harlan, Stephen S.","contributorId":11208,"corporation":false,"usgs":true,"family":"Harlan","given":"Stephen","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":501188,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":501187,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":441,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":271,"text":"Federal Center","active":false,"usgs":true}],"preferred":true,"id":501185,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70187339,"text":"70187339 - 2013 - Climate change's impact on key ecosystem services and the human well-being they support in the US","interactions":[],"lastModifiedDate":"2017-05-01T14:19:56","indexId":"70187339","displayToPublicDate":"2013-11-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Climate change's impact on key ecosystem services and the human well-being they support in the US","docAbstract":"

Climate change alters the functions of ecological systems. As a result, the provision of ecosystem services and the well-being of people that rely on these services are being modified. Climate models portend continued warming and more frequent extreme weather events across the US. Such weather-related disturbances will place a premium on the ecosystem services that people rely on. We discuss some of the observed and anticipated impacts of climate change on ecosystem service provision and livelihoods in the US. We also highlight promising adaptive measures. The challenge will be choosing which adaptive strategies to implement, given limited resources and time. We suggest using dynamic balance sheets or accounts of natural capital and natural assets to prioritize and evaluate national and regional adaptation strategies that involve ecosystem services.

","language":"English","publisher":"Ecological Society of America","doi":"10.1890/120312","usgsCitation":"Nelson, E.J., Kareiva, P., Ruckelshaus, M., Arkema, K.K., Geller, G., Girvetz, E., Goodrich, D., Matzek, V., Pinsky, M., Reid, W., Saunders, M., Semmens, D.J., and Tallis, H., 2013, Climate change's impact on key ecosystem services and the human well-being they support in the US: Frontiers in Ecology and the Environment, v. 11, no. 9, p. 483-493, https://doi.org/10.1890/120312.","productDescription":"11 p.","startPage":"483","endPage":"493","ipdsId":"IP-042569","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":473468,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/120312","text":"Publisher Index Page"},{"id":340692,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084935e4b0fc4e448ffd92","contributors":{"authors":[{"text":"Nelson, Erik J.","contributorId":191581,"corporation":false,"usgs":false,"family":"Nelson","given":"Erik","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":693529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kareiva, Peter","contributorId":58160,"corporation":false,"usgs":true,"family":"Kareiva","given":"Peter","email":"","affiliations":[],"preferred":false,"id":693530,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruckelshaus, Mary","contributorId":99446,"corporation":false,"usgs":true,"family":"Ruckelshaus","given":"Mary","affiliations":[],"preferred":false,"id":693531,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arkema, Katie K.","contributorId":191584,"corporation":false,"usgs":false,"family":"Arkema","given":"Katie","middleInitial":"K.","affiliations":[],"preferred":false,"id":693532,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Geller, Gary","contributorId":81395,"corporation":false,"usgs":true,"family":"Geller","given":"Gary","affiliations":[],"preferred":false,"id":693533,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Girvetz, Evan","contributorId":104764,"corporation":false,"usgs":true,"family":"Girvetz","given":"Evan","email":"","affiliations":[],"preferred":false,"id":693534,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goodrich, Dave","contributorId":191587,"corporation":false,"usgs":false,"family":"Goodrich","given":"Dave","email":"","affiliations":[],"preferred":false,"id":693535,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Matzek, Virginia","contributorId":191588,"corporation":false,"usgs":false,"family":"Matzek","given":"Virginia","email":"","affiliations":[],"preferred":false,"id":693536,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pinsky, Malin","contributorId":191589,"corporation":false,"usgs":false,"family":"Pinsky","given":"Malin","email":"","affiliations":[],"preferred":false,"id":693537,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Reid, Walt","contributorId":191590,"corporation":false,"usgs":false,"family":"Reid","given":"Walt","email":"","affiliations":[],"preferred":false,"id":693538,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Saunders, Martin","contributorId":191591,"corporation":false,"usgs":false,"family":"Saunders","given":"Martin","email":"","affiliations":[],"preferred":false,"id":693539,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693528,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Tallis, Heather","contributorId":176800,"corporation":false,"usgs":false,"family":"Tallis","given":"Heather","email":"","affiliations":[],"preferred":false,"id":693540,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70140927,"text":"70140927 - 2013 - Improving sediment-quality guidelines for nickel: development and application of predictive bioavailability models to assess chronic toxicity of nickel in freshwater sediments","interactions":[],"lastModifiedDate":"2016-12-02T14:59:21","indexId":"70140927","displayToPublicDate":"2013-11-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Improving sediment-quality guidelines for nickel: development and application of predictive bioavailability models to assess chronic toxicity of nickel in freshwater sediments","docAbstract":"

Within the framework of European Union chemical legislations an extensive data set on the chronic toxicity of sediment nickel has been generated. In the initial phase of testing, tests were conducted with 8 taxa of benthic invertebrates in 2 nickel-spiked sediments, including 1 reasonable worst-case sediment with low concentrations of acid-volatile sulfide (AVS) and total organic carbon. The following species were tested: amphipods (Hyalella azteca, Gammarus pseudolimnaeus), mayflies (Hexagenia sp.), oligochaetes (Tubifex tubifex, Lumbriculus variegatus), mussels (Lampsilis siliquoidea), and midges (Chironomus dilutus, Chironomus riparius). In the second phase, tests were conducted with the most sensitive species in 6 additional spiked sediments, thus generating chronic toxicity data for a total of 8 nickel-spiked sediments. A species sensitivity distribution was elaborated based on 10% effective concentrations yielding a threshold value of 94 mg Ni/kg dry weight under reasonable worst-case conditions. Data from all sediments were used to model predictive bioavailability relationships between chronic toxicity thresholds (20% effective concentrations) and AVS and Fe, and these models were used to derive site-specific sediment-quality criteria. Normalization of toxicity values reduced the intersediment variability in toxicity values significantly for the amphipod species Hyalella azteca and G. pseudolimnaeus, but these relationships were less clearly defined for the mayfly Hexagenia sp. Application of the models to prevailing local conditions resulted in threshold values ranging from 126 mg to 281 mg Ni/kg dry weight, based on the AVS model, and 143 mg to 265 mg Ni/kg dry weight, based on the Fe model

","language":"English","publisher":"Wiley","doi":"10.1002/etc.2373","usgsCitation":"Vangheluwe, M.L., Verdonck, F.A., Besser, J.M., Brumbaugh, W.G., Ingersoll, C.G., Schlekat, C.E., and Rogevich Garman, E., 2013, Improving sediment-quality guidelines for nickel: development and application of predictive bioavailability models to assess chronic toxicity of nickel in freshwater sediments: Environmental Toxicology and Chemistry, v. 32, no. 11, p. 2507-2519, https://doi.org/10.1002/etc.2373.","productDescription":"13 p.","startPage":"2507","endPage":"2519","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045453","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":297915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"11","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-24","publicationStatus":"PW","scienceBaseUri":"54dd2bd2e4b08de9379b34f8","contributors":{"authors":[{"text":"Vangheluwe, Marnix L. U.","contributorId":139229,"corporation":false,"usgs":false,"family":"Vangheluwe","given":"Marnix","email":"","middleInitial":"L. U.","affiliations":[{"id":12706,"text":"ARCHE (Assessing Risks of Chemicals), Ghent, Belgium","active":true,"usgs":false}],"preferred":false,"id":540440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verdonck, Frederik A. M.","contributorId":139230,"corporation":false,"usgs":false,"family":"Verdonck","given":"Frederik","email":"","middleInitial":"A. M.","affiliations":[{"id":12706,"text":"ARCHE (Assessing Risks of Chemicals), Ghent, Belgium","active":true,"usgs":false}],"preferred":false,"id":540441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Besser, John M. 0000-0002-9464-2244 jbesser@usgs.gov","orcid":"https://orcid.org/0000-0002-9464-2244","contributorId":2073,"corporation":false,"usgs":true,"family":"Besser","given":"John","email":"jbesser@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":540437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":540435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":540436,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schlekat, Christan E.","contributorId":139228,"corporation":false,"usgs":false,"family":"Schlekat","given":"Christan","email":"","middleInitial":"E.","affiliations":[{"id":12705,"text":"Nickel Producers Environmental Research Association, Durham, Nor","active":true,"usgs":false}],"preferred":false,"id":540439,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rogevich Garman, Emily","contributorId":139227,"corporation":false,"usgs":false,"family":"Rogevich Garman","given":"Emily","email":"","affiliations":[{"id":12705,"text":"Nickel Producers Environmental Research Association, Durham, Nor","active":true,"usgs":false}],"preferred":false,"id":540438,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}