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In colonial-breeding species, prebreeders often emigrate temporarily from natal reproductive colonies then subsequently return for one or more years before producing young. Variation in attendance–nonattendance patterns can have implications for subsequent recruitment. We used open robust-design multistate models and 28 years of encounter data for prebreeding female Weddell seals (Leptonychotes weddellii [Lesson]) to evaluate hypotheses about (1) the relationships of temporary emigration (TE) probabilities to environmental and population size covariates and (2) motivations for attendance and consequences of nonattendance for subsequent probability of recruitment to the breeding population. TE probabilities were density dependent (βˆBPOP = 0.66, \"inline = 0.17; estimated effects [β] and standard errors of population size in the previous year) and increased when the fast-ice edge was distant from the breeding colonies (βˆDIST = 0.75, \"inline = 0.04; estimated effects and standard errors of distance to the sea-ice edge in the current year on TE probability in the current year) and were strongly age and state dependent. These results suggest that trade-offs between potential benefits and costs of colony attendance vary annually and might influence motivation to attend colonies. Recruitment probabilities were greatest for seals that consistently attended colonies in two or more years (e.g., \"inline = 0.56, SD = 0.17) and lowest for seals that never or inconsistently attended prior to recruitment (e.g., \"inline = 0.32, SD = 0.15), where \"inlinedenotes the mean recruitment probability (over all years) for 10-year-old seals for the specified prebreeder state. In colonial-breeding seabirds, repeated colony attendance increases subsequent probability of recruitment to the adult breeding population; our results suggest similar implications for a marine mammal and are consistent with the hypothesis that prebreeders were motivated to attend reproductive colonies to gain reproductive skills or perhaps to optimally synchronize estrus through close association with mature breeding females.

","language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-1966.1","usgsCitation":"Stauffer, G.E., Rotella, J.J., Garrott, R.A., and Kendall, W., 2014, Environmental correlates of temporary emigration for female Weddell seals and consequences for recruitment: Ecology, v. 95, no. 9, p. 2526-2536, https://doi.org/10.1890/13-1966.1.","productDescription":"11 p.","startPage":"2526","endPage":"2536","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054170","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472735,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.montana.edu/xmlui/handle/1/8736","text":"External Repository"},{"id":323263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575941dde4b04f417c256824","contributors":{"authors":[{"text":"Stauffer, Glenn E.","contributorId":171536,"corporation":false,"usgs":false,"family":"Stauffer","given":"Glenn","email":"","middleInitial":"E.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":637881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rotella, Jay J.","contributorId":37271,"corporation":false,"usgs":false,"family":"Rotella","given":"Jay","email":"","middleInitial":"J.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":637882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garrott, Robert A.","contributorId":171537,"corporation":false,"usgs":false,"family":"Garrott","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":637883,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kendall, William L. 0000-0003-0084-9891 wkendall@usgs.gov","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":166709,"corporation":false,"usgs":true,"family":"Kendall","given":"William L.","email":"wkendall@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637448,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70123433,"text":"ofr20141190 - 2014 - Downscaled climate projections for the Southeast United States: evaluation and use for ecological applications","interactions":[],"lastModifiedDate":"2014-09-30T16:52:51","indexId":"ofr20141190","displayToPublicDate":"2014-09-30T16:48:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1190","title":"Downscaled climate projections for the Southeast United States: evaluation and use for ecological applications","docAbstract":"Climate change is likely to have many effects on natural ecosystems in the Southeast U.S. The National Climate Assessment Southeast Technical Report (SETR) indicates that natural ecosystems in the Southeast are likely to be affected by warming temperatures, ocean acidification, sea-level rise, and changes in rainfall and evapotranspiration. To better assess these how climate changes could affect multiple sectors, including ecosystems, climatologists have created several downscaled climate projections (or downscaled datasets) that contain information from the global climate models (GCMs) translated to regional or local scales. The process of creating these downscaled datasets, known as downscaling, can be carried out using a broad range of statistical or numerical modeling techniques. The rapid proliferation of techniques that can be used for downscaling and the number of downscaled datasets produced in recent years present many challenges for scientists and decisionmakers in assessing the impact or vulnerability of a given species or ecosystem to climate change. Given the number of available downscaled datasets, how do these model outputs compare to each other? Which variables are available, and are certain downscaled datasets more appropriate for assessing vulnerability of a particular species? Given the desire to use these datasets for impact and vulnerability assessments and the lack of comparison between these datasets, the goal of this report is to synthesize the information available in these downscaled datasets and provide guidance to scientists and natural resource managers with specific interests in ecological modeling and conservation planning related to climate change in the Southeast U.S. This report enables the Southeast Climate Science Center (SECSC) to address an important strategic goal of providing scientific information and guidance that will enable resource managers and other participants in Landscape Conservation Cooperatives to make science-based climate change adaptation decisions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141190","usgsCitation":"Wootten, A., Smith, K., Boyles, R., Terando, A., Stefanova, L., Misra, V., Smith, T., Blodgett, D.L., and Semazzi, F., 2014, Downscaled climate projections for the Southeast United States: evaluation and use for ecological applications: U.S. Geological Survey Open-File Report 2014-1190, Report: v, 54 p.; 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Using spatially rich intensity data from the USGS “Did You Feel It?” system, I show that the distance decay of intensities for all events is consistent with that observed for tectonic earthquakes in the region, but for all of the events, intensities are lower than values predicted from an intensity prediction equation that successfully characterizes intensities for regional tectonic events. I introduce an effective intensity magnitude, MIE, defined as the magnitude that on average would generate a given intensity distribution. For all 11 events, MIE is lower than the event magnitude by 0.4-1.3 magnitude units, with an average difference of 0.82 units. This suggests that stress drops of injection-induced earthquakes are systematically lower than tectonic earthquakes by an estimated factor of 2-10. However, relatively limited data suggest that intensities for epicentral distances less than 10 km are more commensurate with expectations for the event magnitude, which can be reasonably explained by the shallow focal depth of the events. The results suggest that damage from injection-induced earthquakes will be especially concentrated in the immediate epicentral region.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120140099","usgsCitation":"Hough, S.E., 2014, Shaking from injection-induced earthquakes in the central and eastern United States: Bulletin of the Seismological Society of America, v. 104, no. 5, p. 2619-2626, https://doi.org/10.1785/0120140099.","productDescription":"8 p.","startPage":"2619","endPage":"2626","numberOfPages":"8","ipdsId":"IP-056080","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":294617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294591,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120140099"}],"country":"United States","volume":"104","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-08-19","publicationStatus":"PW","scienceBaseUri":"542bb80ee4b0abfb4c8096ac","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":502360,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70127470,"text":"70127470 - 2014 - Effects of disturbance and climate change on ecosystem performance in the Yukon River Basin boreal forest","interactions":[],"lastModifiedDate":"2017-01-18T11:30:03","indexId":"70127470","displayToPublicDate":"2014-09-30T09:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Effects of disturbance and climate change on ecosystem performance in the Yukon River Basin boreal forest","docAbstract":"A warming climate influences boreal forest productivity, dynamics, and disturbance regimes. We used ecosystem models and 250 m satellite Normalized Difference Vegetation Index (NDVI) data averaged over the growing season (GSN) to model current, and estimate future, ecosystem performance. We modeled Expected Ecosystem Performance (EEP), or anticipated productivity, in undisturbed stands over the 2000–2008 period from a variety of abiotic data sources, using a rule-based piecewise regression tree. The EEP model was applied to a future climate ensemble A1B projection to quantify expected changes to mature boreal forest performance. Ecosystem Performance Anomalies (EPA), were identified as the residuals of the EEP and GSN relationship and represent performance departures from expected performance conditions. These performance data were used to monitor successional events following fire. Results suggested that maximum EPA occurs 30–40 years following fire, and deciduous stands generally have higher EPA than coniferous stands. Mean undisturbed EEP is projected to increase 5.6% by 2040 and 8.7% by 2070, suggesting an increased deciduous component in boreal forests. Our results contribute to the understanding of boreal forest successional dynamics and its response to climate change. This information enables informed decisions to prepare for, and adapt to, climate change in the Yukon River Basin forest.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Multidisciplanary Digital Publishing Institute","doi":"10.3390/rs6109145","usgsCitation":"Wylie, B.K., Rigge, M.B., Brisco, B., Mrnaghan, K., Rover, J.R., and Long, J., 2014, Effects of disturbance and climate change on ecosystem performance in the Yukon River Basin boreal forest: Remote Sensing, v. 6, no. 10, p. 9145-9169, https://doi.org/10.3390/rs6109145.","productDescription":"25 p.","startPage":"9145","endPage":"9169","ipdsId":"IP-057217","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472738,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs6109145","text":"Publisher Index Page"},{"id":294612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294611,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/rs6109145"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -164.8,61.55 ], [ -164.8,66.62 ], [ -141.0,66.62 ], [ -141.0,61.55 ], [ -164.8,61.55 ] ] ] } } ] }","volume":"6","issue":"10","noUsgsAuthors":false,"publicationDate":"2014-09-26","publicationStatus":"PW","scienceBaseUri":"542bb80ce4b0abfb4c809689","contributors":{"authors":[{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":502327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rigge, Matthew B. 0000-0003-4471-8009 mrigge@usgs.gov","orcid":"https://orcid.org/0000-0003-4471-8009","contributorId":751,"corporation":false,"usgs":true,"family":"Rigge","given":"Matthew","email":"mrigge@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":502328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brisco, Brian","contributorId":37665,"corporation":false,"usgs":true,"family":"Brisco","given":"Brian","email":"","affiliations":[],"preferred":false,"id":502332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mrnaghan, Kevin","contributorId":21092,"corporation":false,"usgs":true,"family":"Mrnaghan","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":502331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rover, Jennifer R. 0000-0002-3437-4030 jrover@usgs.gov","orcid":"https://orcid.org/0000-0002-3437-4030","contributorId":2941,"corporation":false,"usgs":true,"family":"Rover","given":"Jennifer","email":"jrover@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":502329,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Long, Jordan 0000-0002-4814-464X jlong@usgs.gov","orcid":"https://orcid.org/0000-0002-4814-464X","contributorId":3609,"corporation":false,"usgs":true,"family":"Long","given":"Jordan","email":"jlong@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":502330,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70127549,"text":"70127549 - 2014 - Characterizing recent and projecting future potential patterns of mountain pine beetle outbreaks in the Southern Rocky Mountains","interactions":[],"lastModifiedDate":"2014-10-02T09:50:27","indexId":"70127549","displayToPublicDate":"2014-09-30T09:43:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":836,"text":"Applied Geography","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing recent and projecting future potential patterns of mountain pine beetle outbreaks in the Southern Rocky Mountains","docAbstract":"The recent widespread mountain pine beetle (MPB) outbreak in the Southern Rocky Mountains presents an opportunity to investigate the relative influence of anthropogenic, biologic, and physical drivers that have shaped the spatiotemporal patterns of the outbreak. The aim of this study was to quantify the landscape-level drivers that explained the dynamic patterns of MPB mortality, and simulate areas with future potential MPB mortality under projected climate-change scenarios in Grand County, Colorado, USA. The outbreak patterns of MPB were characterized by analysis of a decade-long Landsat time-series stack, aided by automatic attribution of change detected by the Landsat-based Detection of Trends in Disturbance and Recovery algorithm (LandTrendr). The annual area of new MPB mortality was then related to a suite of anthropogenic, biologic, and physical predictor variables under a general linear model (GLM) framework. Data from years 2001–2005 were used to train the model and data from years 2006–2011 were retained for validation. After stepwise removal of non-significant predictors, the remaining predictors in the GLM indicated that neighborhood mortality, winter mean temperature anomaly, and residential housing density were positively associated with MPB mortality, whereas summer precipitation was negatively related. The final model had an average area under the curve (AUC) of a receiver operating characteristic plot value of 0.72 in predicting the annual area of new mortality for the independent validation years, and the mean deviation from the base maps in the MPB mortality areal estimates was around 5%. The extent of MPB mortality will likely expand under two climate-change scenarios (RCP 4.5 and 8.5) in Grand County, which implies that the impacts of MPB outbreaks on vegetation composition and structure, and ecosystem functioning are likely to increase in the future.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeog.2014.09.012","usgsCitation":"Liang, L., Hawbaker, T., Chen, Y., Zhu, Z., and Gong, P., 2014, Characterizing recent and projecting future potential patterns of mountain pine beetle outbreaks in the Southern Rocky Mountains: Applied Geography, v. 55, p. 165-175, https://doi.org/10.1016/j.apgeog.2014.09.012.","productDescription":"11 p.","startPage":"165","endPage":"175","numberOfPages":"11","ipdsId":"IP-055165","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":472739,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeog.2014.09.012","text":"Publisher Index Page"},{"id":294606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294594,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeog.2014.09.012"}],"country":"United States","state":"Colorado","county":"Grand County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.653,39.6841 ], [ -106.653,40.4863 ], [ -105.6261,40.4863 ], [ -105.6261,39.6841 ], [ -106.653,39.6841 ] ] ] } } ] }","volume":"55","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542bb80ae4b0abfb4c809669","chorus":{"doi":"10.1016/j.apgeog.2014.09.012","url":"http://dx.doi.org/10.1016/j.apgeog.2014.09.012","publisher":"Elsevier BV","authors":"Liang Lu, Hawbaker Todd J., Chen Yanlei, Zhu Zhiliang, Gong Peng","journalName":"Applied Geography","publicationDate":"12/2014","auditedOn":"3/22/2016","publiclyAccessibleDate":"9/19/2014"},"contributors":{"authors":[{"text":"Liang, Lu","contributorId":72714,"corporation":false,"usgs":true,"family":"Liang","given":"Lu","affiliations":[],"preferred":false,"id":502387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":502384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Yanlei","contributorId":18276,"corporation":false,"usgs":true,"family":"Chen","given":"Yanlei","email":"","affiliations":[],"preferred":false,"id":502385,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhu, Zhi-Liang","contributorId":70726,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhi-Liang","affiliations":[],"preferred":false,"id":502386,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gong, Peng","contributorId":102393,"corporation":false,"usgs":true,"family":"Gong","given":"Peng","affiliations":[],"preferred":false,"id":502388,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70127471,"text":"70127471 - 2014 - Can mercury in fish be reduced by water level management? Evaluating the effects of water level fluctuation on mercury accumulation in yellow perch (Perca flavescens)","interactions":[],"lastModifiedDate":"2014-09-30T09:43:19","indexId":"70127471","displayToPublicDate":"2014-09-30T09:42:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Can mercury in fish be reduced by water level management? Evaluating the effects of water level fluctuation on mercury accumulation in yellow perch (Perca flavescens)","docAbstract":"Mercury (Hg) contamination of fisheries is a major concern for resource managers of many temperate lakes. Anthropogenic Hg contamination is largely derived from atmospheric deposition within a lake’s watershed, but its incorporation into the food web is facilitated by bacterial activity in sediments. Temporal variation in Hg content of fish (young-of-year yellow perch) in the regulated lakes of the Rainy–Namakan complex (on the border of the United States and Canada) has been linked to water level (WL) fluctuations, presumably through variation in sediment inundation. As a result, Hg contamination of fish has been linked to international regulations of WL fluctuation. Here we assess the relationship between WL fluctuations and fish Hg content using a 10-year dataset covering six lakes. Within-year WL rise did not appear in strongly supported models of fish Hg, but year-to-year variation in maximum water levels (∆maxWL) was positively associated with fish Hg content. This WL effect varied in magnitude among lakes: In Crane Lake, a 1 m increase in ∆maxWL from the previous year was associated with a 108 ng increase in fish Hg content (per gram wet weight), while the same WL change in Kabetogama was associated with only a 5 ng increase in fish Hg content. In half the lakes sampled here, effect sizes could not be distinguished from zero. Given the persistent and wide-ranging extent of Hg contamination and the large number of regulated waterways, future research is needed to identify the conditions in which WL fluctuations influence fish Hg content.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecotoxicology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10646-014-1296-5","usgsCitation":"Larson, J.H., Maki, R., Knights, B.C., and Gray, B.R., 2014, Can mercury in fish be reduced by water level management? Evaluating the effects of water level fluctuation on mercury accumulation in yellow perch (Perca flavescens): Ecotoxicology, v. 23, no. 8, p. 1555-1563, https://doi.org/10.1007/s10646-014-1296-5.","productDescription":"9 p.","startPage":"1555","endPage":"1563","ipdsId":"IP-050898","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":294603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294576,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10646-014-1296-5"}],"country":"Canada;United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.203689,48.299689 ], [ -93.203689,48.631628 ], [ -92.453285,48.631628 ], [ -92.453285,48.299689 ], [ -93.203689,48.299689 ] ] ] } } ] }","volume":"23","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-08-19","publicationStatus":"PW","scienceBaseUri":"542bb809e4b0abfb4c809664","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":502335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maki, Ryan P.","contributorId":100111,"corporation":false,"usgs":true,"family":"Maki","given":"Ryan P.","affiliations":[],"preferred":false,"id":502336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knights, Brent C. 0000-0001-8526-8468 bknights@usgs.gov","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":2906,"corporation":false,"usgs":true,"family":"Knights","given":"Brent","email":"bknights@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":502334,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Brian R. 0000-0001-7682-9550 brgray@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":2615,"corporation":false,"usgs":true,"family":"Gray","given":"Brian","email":"brgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":502333,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70121433,"text":"ofr20141166 - 2014 - Evaluation of the National Gap Analysis Program (GAP): survey of users of GAP data: report to respondents","interactions":[],"lastModifiedDate":"2014-10-02T09:52:52","indexId":"ofr20141166","displayToPublicDate":"2014-09-30T09:02:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1166","title":"Evaluation of the National Gap Analysis Program (GAP): survey of users of GAP data: report to respondents","docAbstract":"This report provides a summary of responses to the questions included in a survey of individuals who use or have used data created and provided by the U.S. Geological Survey National Gap Analysis Program (GAP). The survey was commissioned by the GAP main office and was conducted by U.S. Geological Survey personnel in the Policy Analysis and Science Assistance branch. The data collection process started on September 18, 2012, and ended on November 9, 2012. The dataset includes the responses from 359 individuals. The adjusted response rate for the survey was 35 percent. This report provides a summary of results for the survey questions in the order in which the questions were asked. The text of comments provided by respondents to open-ended questions is provided.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141166","usgsCitation":"Ratz, J., 2014, Evaluation of the National Gap Analysis Program (GAP): survey of users of GAP data: report to respondents: U.S. Geological Survey Open-File Report 2014-1166, iii, 94 p., https://doi.org/10.3133/ofr20141166.","productDescription":"iii, 94 p.","numberOfPages":"97","onlineOnly":"Y","ipdsId":"IP-052085","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":294600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141166.jpg"},{"id":294583,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1166/"},{"id":294599,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1166/pdf/ofr2014-1166.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542bb80de4b0abfb4c80968d","contributors":{"authors":[{"text":"Ratz, Joan M.","contributorId":22739,"corporation":false,"usgs":true,"family":"Ratz","given":"Joan M.","affiliations":[],"preferred":false,"id":499069,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70118929,"text":"ofr20141151 - 2014 - U.S. Geological Survey quality-assurance plan for continuous water-quality monitoring in Kansas, 2014","interactions":[],"lastModifiedDate":"2014-09-30T08:51:54","indexId":"ofr20141151","displayToPublicDate":"2014-09-30T08:46:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1151","title":"U.S. Geological Survey quality-assurance plan for continuous water-quality monitoring in Kansas, 2014","docAbstract":"A quality-assurance plan for use in conducting continuous water-quality monitoring activities has been developed for the Kansas Water Science Center in accordance with guidelines set forth by the U.S. Geological Survey. This quality-assurance plan documents the standards, policies, and procedures used by the U.S. Geological Survey in Kansas for activities related to the collection, processing, storage, analysis, and release of continuous water-quality monitoring data. The policies and procedures that are documented in this quality-assurance plan for continuous water-quality monitoring activities complement quality-assurance plans for surface-water and groundwater activities in Kansas.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141151","usgsCitation":"Bennett, T.J., Graham, J.L., Foster, G., Stone, M.L., Juracek, K.E., Rasmussen, T.J., and Putnam, J.E., 2014, U.S. Geological Survey quality-assurance plan for continuous water-quality monitoring in Kansas, 2014: U.S. Geological Survey Open-File Report 2014-1151, vii, 70 p., https://doi.org/10.3133/ofr20141151.","productDescription":"vii, 70 p.","numberOfPages":"82","onlineOnly":"Y","ipdsId":"IP-054103","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":294598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141151.jpg"},{"id":294580,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1151/"},{"id":294597,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1151/pdf/ofr2014-1151.pdf"}],"country":"United States","state":"Kansas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -102.0518,36.9931 ], [ -102.0518,40.0031 ], [ -94.5882,40.0031 ], [ -94.5882,36.9931 ], [ -102.0518,36.9931 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542bb80fe4b0abfb4c8096bf","contributors":{"authors":[{"text":"Bennett, Trudy J. trudyben@usgs.gov","contributorId":4218,"corporation":false,"usgs":true,"family":"Bennett","given":"Trudy","email":"trudyben@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":497517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foster, Guy M. gfoster@usgs.gov","contributorId":3437,"corporation":false,"usgs":true,"family":"Foster","given":"Guy M.","email":"gfoster@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":497516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stone, Mandy L. 0000-0002-6711-1536 mstone@usgs.gov","orcid":"https://orcid.org/0000-0002-6711-1536","contributorId":4409,"corporation":false,"usgs":true,"family":"Stone","given":"Mandy","email":"mstone@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":497518,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":497514,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rasmussen, Teresa J. 0000-0002-7023-3868 rasmuss@usgs.gov","orcid":"https://orcid.org/0000-0002-7023-3868","contributorId":3336,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Teresa","email":"rasmuss@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":497515,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Putnam, James E. jputnam@usgs.gov","contributorId":2021,"corporation":false,"usgs":true,"family":"Putnam","given":"James","email":"jputnam@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":497513,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70122401,"text":"sir20145153 - 2014 - Hydrogeology, water resources, and water budget of the upper Rio Hondo Basin, Lincoln County, New Mexico, 2010","interactions":[],"lastModifiedDate":"2014-10-02T09:55:18","indexId":"sir20145153","displayToPublicDate":"2014-09-29T15:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5153","title":"Hydrogeology, water resources, and water budget of the upper Rio Hondo Basin, Lincoln County, New Mexico, 2010","docAbstract":"

The upper Rio Hondo Basin occupies a drainage area of 585 square miles in south-central New Mexico and comprises three general hydrogeologic terranes: the higher elevation “Mountain Block,” the “Central Basin” piedmont area, and the lower elevation “Hondo Slope.” As many as 12 hydrostratigraphic units serve as aquifers locally and form a continuous aquifer on the regional scale. Streams and aquifers in the basin are closely interconnected, with numerous gaining and losing stream reaches across the study area. In general, the aquifers are characterized by low storage capacity and respond to short-term and long-term variations in recharge with marked water-level fluctuations on short (days to months) and long (decadal) time scales. Droughts and local groundwater withdrawals have caused marked water-table declines in some areas, whereas periodically heavy monsoons and snowmelt events have rapidly recharged aquifers in some areas.

\n
\n

A regional-scale conceptual water budget was developed for the study area in order to gain a basic understanding of the magnitude of the various components of input, output, and change in storage. The primary input is watershed yield from the Mountain Block terrane, supplying about 38,200 to 42,300 acre-feet per year (acre-ft/yr) to the basin, as estimated by comparing the residual of precipitation and evapotranspiration with local streamgage data. Streamflow from the basin averaged about 21,200 acre-ft/yr, and groundwater output left the basin at an estimated 2,300 to 5,700 acre-ft/yr. The other major output (about 13,500 acre-ft/yr) was by public water supply, private water supply, livestock, commercial and industrial uses, and the Bonito Pipeline. The residual in the water budget, the difference between the totals of the input and output terms or the potential change in storage, ranged from -2,200 acre-ft/yr to +5,300 acre-ft/yr. There is a high degree of variability in precipitation and consequently in the water supply; small variations in annual precipitation can result in major changes in overall watershed yield. Changing water-use patterns, concentrated areas of groundwater withdrawal, and variations in precipitation have created localized areas where water-table declines and diminished surface flow are of concern.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145153","collaboration":"Prepared in cooperation with Lincoln County, New Mexico","usgsCitation":"Darr, M.J., McCoy, K.J., Rattray, G.W., and Durall, R.A., 2014, Hydrogeology, water resources, and water budget of the upper Rio Hondo Basin, Lincoln County, New Mexico, 2010: U.S. Geological Survey Scientific Investigations Report 2014-5153, ix, 72 p., https://doi.org/10.3133/sir20145153.","productDescription":"ix, 72 p.","numberOfPages":"86","onlineOnly":"Y","ipdsId":"IP-031410","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":294590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145153.jpg"},{"id":294588,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5153/"},{"id":294589,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5153/pdf/sir2014-5153.pdf"}],"state":"New Mexico","county":"Lincoln","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -148.56,50.23 ], [ -148.56,64.46 ], [ -126.45,64.46 ], [ -126.45,50.23 ], [ -148.56,50.23 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542a66abe4b01535cb427251","contributors":{"authors":[{"text":"Darr, Michael J. mjdarr@usgs.gov","contributorId":4239,"corporation":false,"usgs":true,"family":"Darr","given":"Michael","email":"mjdarr@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":499508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCoy, Kurt J. 0000-0002-9756-8238 kjmccoy@usgs.gov","orcid":"https://orcid.org/0000-0002-9756-8238","contributorId":1391,"corporation":false,"usgs":true,"family":"McCoy","given":"Kurt","email":"kjmccoy@usgs.gov","middleInitial":"J.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":499506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rattray, Gordon W. 0000-0002-1690-3218 grattray@usgs.gov","orcid":"https://orcid.org/0000-0002-1690-3218","contributorId":2521,"corporation":false,"usgs":true,"family":"Rattray","given":"Gordon","email":"grattray@usgs.gov","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":499507,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Durall, Roger A.","contributorId":70225,"corporation":false,"usgs":true,"family":"Durall","given":"Roger","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":499509,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70161902,"text":"70161902 - 2014 - Global assessment of human losses due to earthquakes","interactions":[],"lastModifiedDate":"2017-04-24T09:42:26","indexId":"70161902","displayToPublicDate":"2014-09-29T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Global assessment of human losses due to earthquakes","docAbstract":"

Current studies have demonstrated a sharp increase in human losses due to earthquakes. These alarming levels of casualties suggest the need for large-scale investment in seismic risk mitigation, which, in turn, requires an adequate understanding of the extent of the losses, and location of the most affected regions. Recent developments in global and uniform datasets such as instrumental and historical earthquake catalogues, population spatial distribution and country-based vulnerability functions, have opened an unprecedented possibility for a reliable assessment of earthquake consequences at a global scale. In this study, a uniform probabilistic seismic hazard assessment (PSHA) model was employed to derive a set of global seismic hazard curves, using the open-source software OpenQuake for seismic hazard and risk analysis. These results were combined with a collection of empirical fatality vulnerability functions and a population dataset to calculate average annual human losses at the country level. The results from this study highlight the regions/countries in the world with a higher seismic risk, and thus where risk reduction measures should be prioritized.

","conferenceTitle":"Second European Conference on Earthquake Engineering","conferenceDate":"August 25-29, 2014","conferenceLocation":"Istanbul, Turkey","language":"English","usgsCitation":"Silva, V., Jaiswal, K.S., Weatherill, G., and Crowley, H., 2014, Global assessment of human losses due to earthquakes, Second European Conference on Earthquake Engineering, Istanbul, Turkey, August 25-29, 2014, 10 p.","productDescription":"10 p.","ipdsId":"IP-055949","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":340143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Earth","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ff0ea6e4b006455f2d61ee","contributors":{"authors":[{"text":"Silva, Vitor","contributorId":152129,"corporation":false,"usgs":false,"family":"Silva","given":"Vitor","email":"","affiliations":[{"id":18873,"text":"University of Aveiro","active":true,"usgs":false}],"preferred":false,"id":588079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":588078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weatherill, Graeme","contributorId":152130,"corporation":false,"usgs":false,"family":"Weatherill","given":"Graeme","email":"","affiliations":[{"id":18874,"text":"EUCENTRE","active":true,"usgs":false}],"preferred":false,"id":588080,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crowley, Helen","contributorId":152131,"corporation":false,"usgs":false,"family":"Crowley","given":"Helen","email":"","affiliations":[{"id":18874,"text":"EUCENTRE","active":true,"usgs":false}],"preferred":false,"id":588081,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70127155,"text":"70127155 - 2014 - Assessing the value of the Central Everglades Planning Project (CEPP) in Everglades restoration: an ecosystem service approach","interactions":[],"lastModifiedDate":"2014-10-02T09:58:44","indexId":"70127155","displayToPublicDate":"2014-09-26T09:33:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1453,"text":"Ecological Economics","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the value of the Central Everglades Planning Project (CEPP) in Everglades restoration: an ecosystem service approach","docAbstract":"This study identifies a full range of ecosystem services that could be affected by a restoration project in the central Everglades and monetizes the economic value of a subset of these services using existing data. Findings suggest that the project will potentially increase many ecosystem services that have considerable economic value to society. The ecosystem services monetized within the scope of this study are a subset of the difference between the future-with the Central Everglades Planning Project (CEPP) and the future-without CEPP, and they totaled ~ $1.8 billion USD at a 2.5% discount rate. Findings suggest that the use of ecosystem services in project planning and communications may require acknowledgment of the difficulty of monetizing important services and the limitations associated with using only existing data and models. Results of this study highlight the need for additional valuation efforts in this region, focused on those services that are likely to be impacted by restoration activities but were notably challenging to value in this assessment due to shortages of data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Economics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolecon.2014.09.011","usgsCitation":"Richardson, L.A., Keefe, K., Huber, C.C., Racevskis, L., Gregg, R., Thourot, S., and Miller, I., 2014, Assessing the value of the Central Everglades Planning Project (CEPP) in Everglades restoration: an ecosystem service approach: Ecological Economics, v. 107, p. 366-377, https://doi.org/10.1016/j.ecolecon.2014.09.011.","productDescription":"12 p.","startPage":"366","endPage":"377","numberOfPages":"12","ipdsId":"IP-054468","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":294571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294565,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolecon.2014.09.011"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.3932,25.8427 ], [ -81.3932,25.8735 ], [ -81.3792,25.8735 ], [ -81.3792,25.8427 ], [ -81.3932,25.8427 ] ] ] } } ] }","volume":"107","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54267207e4b0bb3382a4762c","contributors":{"authors":[{"text":"Richardson, Leslie A. lrichardson@usgs.gov","contributorId":4810,"corporation":false,"usgs":true,"family":"Richardson","given":"Leslie","email":"lrichardson@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":502301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keefe, Kelly","contributorId":94989,"corporation":false,"usgs":true,"family":"Keefe","given":"Kelly","email":"","affiliations":[],"preferred":false,"id":502307,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huber, Christopher C. chuber@usgs.gov","contributorId":5491,"corporation":false,"usgs":true,"family":"Huber","given":"Christopher","email":"chuber@usgs.gov","middleInitial":"C.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":502302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Racevskis, Laila","contributorId":12386,"corporation":false,"usgs":true,"family":"Racevskis","given":"Laila","email":"","affiliations":[],"preferred":false,"id":502303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gregg, Reynolds","contributorId":48888,"corporation":false,"usgs":true,"family":"Gregg","given":"Reynolds","email":"","affiliations":[],"preferred":false,"id":502305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thourot, Scott","contributorId":18289,"corporation":false,"usgs":true,"family":"Thourot","given":"Scott","email":"","affiliations":[],"preferred":false,"id":502304,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miller, Ian","contributorId":66573,"corporation":false,"usgs":true,"family":"Miller","given":"Ian","affiliations":[],"preferred":false,"id":502306,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70127095,"text":"70127095 - 2014 - Pesticides in groundwater of the United States: decadal-scale changes, 1993-2011","interactions":[],"lastModifiedDate":"2017-06-30T13:35:43","indexId":"70127095","displayToPublicDate":"2014-09-26T09:21:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Pesticides in groundwater of the United States: decadal-scale changes, 1993-2011","docAbstract":"The national occurrence of 83 pesticide compounds in groundwater of the United States and decadal-scale changes in concentrations for 35 compounds were assessed for the 20-year period from 1993–2011. Samples were collected from 1271 wells in 58 nationally distributed well networks. Networks consisted of shallow (mostly monitoring) wells in agricultural and urban land-use areas and deeper (mostly domestic and public supply) wells in major aquifers in mixed land-use areas. Wells were sampled once during 1993–2001 and once during 2002–2011. Pesticides were frequently detected (53% of all samples), but concentrations seldom exceeded human-health benchmarks (1.8% of all samples). The five most frequently detected pesticide compounds—atrazine, deethylatrazine, simazine, metolachlor, and prometon—each had statistically significant (p < 0.1) changes in concentrations between decades in one or more categories of well networks nationally aggregated by land use. For agricultural networks, concentrations of atrazine, metolachlor, and prometon decreased from the first decade to the second decade. For urban networks, deethylatrazine concentrations increased and prometon concentrations decreased. For major aquifers, concentrations of deethylatrazine and simazine increased. The directions of concentration changes for individual well networks generally were consistent with changes determined from nationally aggregated data. Altogether, 36 of the 58 individual well networks had statistically significant changes in concentrations of one or more pesticides between decades, with the majority of changes attributed to the five most frequently detected pesticide compounds. The magnitudes of median decadal-scale concentration changes were small—ranging from −0.09 to 0.03 µg/L—and were 35- to 230,000-fold less than human-health benchmarks.","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12176","usgsCitation":"Toccalino, P., Gilliom, R.J., Lindsey, B., and Rupert, M.G., 2014, Pesticides in groundwater of the United States: decadal-scale changes, 1993-2011: Groundwater, v. 52, no. S1, p. 112-125, https://doi.org/10.1111/gwat.12176.","productDescription":"14 p.","startPage":"112","endPage":"125","ipdsId":"IP-051692","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":294569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294558,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gwat.12176"}],"county":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","volume":"52","issue":"S1","noUsgsAuthors":false,"publicationDate":"2014-03-05","publicationStatus":"PW","scienceBaseUri":"54267209e4b0bb3382a4763b","chorus":{"doi":"10.1111/gwat.12176","url":"http://dx.doi.org/10.1111/gwat.12176","publisher":"Wiley-Blackwell","authors":"Toccalino Patricia L., Gilliom Robert J., Lindsey Bruce D., Rupert Michael G.","journalName":"Groundwater","publicationDate":"3/5/2014","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Toccalino, Patricia L. 0000-0003-1066-1702","orcid":"https://orcid.org/0000-0003-1066-1702","contributorId":41089,"corporation":false,"usgs":true,"family":"Toccalino","given":"Patricia L.","affiliations":[{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":502293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":502291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindsey, Bruce D. 0000-0002-7180-4319 blindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-7180-4319","contributorId":434,"corporation":false,"usgs":true,"family":"Lindsey","given":"Bruce D.","email":"blindsey@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":502290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rupert, Michael G. mgrupert@usgs.gov","contributorId":1194,"corporation":false,"usgs":true,"family":"Rupert","given":"Michael","email":"mgrupert@usgs.gov","middleInitial":"G.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502292,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70120910,"text":"sir20145157 - 2014 - Estimated monthly streamflows for selected locations on the Kabul and Logar Rivers, Aynak copper, cobalt, and chromium area of interest, Afghanistan, 1951-2010","interactions":[],"lastModifiedDate":"2017-10-12T20:10:22","indexId":"sir20145157","displayToPublicDate":"2014-09-25T11:31:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5157","title":"Estimated monthly streamflows for selected locations on the Kabul and Logar Rivers, Aynak copper, cobalt, and chromium area of interest, Afghanistan, 1951-2010","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations, used the stochastic monthly water-balance model and existing climate data to estimate monthly streamflows for 1951–2010 for selected streamgaging stations located within the Aynak copper, cobalt, and chromium area of interest in Afghanistan. The model used physically based, nondeterministic methods to estimate the monthly volumetric water-balance components of a watershed. A comparison of estimated and recorded monthly streamflows for the streamgaging stations Kabul River at Maidan and Kabul River at Tangi-Saidan indicated that the stochastic water-balance model was able to provide satisfactory estimates of monthly streamflows for high-flow months and low-flow months even though withdrawals for irrigation likely occurred. A comparison of estimated and recorded monthly streamflows for the streamgaging stations Logar River at Shekhabad and Logar River at Sangi-Naweshta also indicated that the stochastic water-balance model was able to provide reasonable estimates of monthly streamflows for the high-flow months; however, for the upstream streamgaging station, the model overestimated monthly streamflows during periods when summer irrigation withdrawals likely occurred. Results from the stochastic water-balance model indicate that the model should be able to produce satisfactory estimates of monthly streamflows for locations along the Kabul and Logar Rivers. This information could be used by Afghanistan authorities to make decisions about surface-water resources for the Aynak copper, cobalt, and chromium area of interest.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145157","collaboration":"In cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations","usgsCitation":"Vining, K.C., and Vecchia, A.V., 2014, Estimated monthly streamflows for selected locations on the Kabul and Logar Rivers, Aynak copper, cobalt, and chromium area of interest, Afghanistan, 1951-2010: U.S. Geological Survey Scientific Investigations Report 2014-5157, iv, 12 p., https://doi.org/10.3133/sir20145157.","productDescription":"iv, 12 p.","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-053116","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":294503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145157.jpg"},{"id":294502,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5157/pdf/sir2014-5157.pdf"},{"id":294501,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5157/"}],"projection":"Mercator Auxillary Sphere projection","country":"Afghanistan","otherGeospatial":"Kabul River;Logar River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 65.00,30.00 ], [ 65.00,35.00 ], [ 70.00,35.00 ], [ 70.00,30.00 ], [ 65.00,30.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252089e4b0e641df8a6d95","contributors":{"authors":[{"text":"Vining, Kevin C. 0000-0001-5738-3872 kcvining@usgs.gov","orcid":"https://orcid.org/0000-0001-5738-3872","contributorId":308,"corporation":false,"usgs":true,"family":"Vining","given":"Kevin","email":"kcvining@usgs.gov","middleInitial":"C.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":498598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vecchia, Aldo V. 0000-0002-2661-4401","orcid":"https://orcid.org/0000-0002-2661-4401","contributorId":41810,"corporation":false,"usgs":true,"family":"Vecchia","given":"Aldo","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":498599,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70122945,"text":"ofr20141183 - 2014 - User's manual for the upper Delaware River riverine environmental flow decision support system (REFDSS), Version 1.1.2","interactions":[],"lastModifiedDate":"2014-09-25T09:30:55","indexId":"ofr20141183","displayToPublicDate":"2014-09-25T09:22:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1183","title":"User's manual for the upper Delaware River riverine environmental flow decision support system (REFDSS), Version 1.1.2","docAbstract":"

Between 2002 and 2006, the Fort Collins Science Center (FORT) at the U.S. Geological Survey (USGS) conducted field surveys, organized workshops, and performed analysis of habitat for trout and shad in the Upper Delaware River Basin. This work culminated in the development of decision support system software (the Delaware River DSS–DRDSS, Bovee and others, 2007) that works in conjunction with the Delaware River Basin Commission’s reservoir operations model, OASIS, to facilitate comparison of the habitat and water-delivery effects of alternative operating scenarios for the Basin. This original DRDSS application was developed in Microsoft Excel and is available to all interested parties through the FORT web site (http://www.fort.usgs.gov/Products/Software/DRDSS/).

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\n

Initial user feedback on the original Excel-based DSS highlighted the need for a more user-friendly and powerful interface to effectively deliver the complex data and analyses encapsulated in the DSS. In order to meet this need, the USGS FORT and Northern Appalachian Research Branch (NARB) developed an entirely new graphical user interface (GUI) application. Support for this research was through the DOI WaterSmart program (http://www.doi.gov/watersmart/html/index.php) of which the USGS component is the National Water Census (http://water.usgs.gov/watercensus/WaterSMART.html). The content and methodology of the new GUI interface emulates those of the original DSS with a few exceptions listed below. Refer to Bovee and others (2007) for the original information. Significant alterations to the original DSS include:

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\n

• We moved from Excel-based data storage and processing to a more powerful database back end powered by SQLite. The most notable effect of this is that the previous maximum temporal extent of 10 years has been replaced by a dynamic extent that can now cover the entire period of record for which we have data (1928–2000).

\n

• We incorporated interactive geographic information system (GIS) visualization and dynamic data processing. Previous habitat maps were generated outside of the DSS in an ad hoc process that the end user could not update or investigate.

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• The original bathymetric data collected in 2005 at the three main stem reaches was augmented with a higher resolution dataset collected in 2010. This new dataset was collected in order to conduct higher resolution (finer pixel size) two-dimensional (2D) hydrodynamic modeling for evaluating dwarf wedgemussel (DWM, Alasmidonta heterodon) habitat.

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• Results charts are now substantially more interactive, dynamic, and accessible, which allows users to more easily focus on their particular topics of interest as well as drill down to the source data used to calculate given results.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141183","usgsCitation":"Talbert, C., Maloney, K.O., Holmquist-Johnson, C., and Hanson, L., 2014, User's manual for the upper Delaware River riverine environmental flow decision support system (REFDSS), Version 1.1.2: U.S. Geological Survey Open-File Report 2014-1183, iv, 23 p., https://doi.org/10.3133/ofr20141183.","productDescription":"iv, 23 p.","numberOfPages":"27","onlineOnly":"Y","ipdsId":"IP-052908","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":294459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141183.jpg"},{"id":294458,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1183/pdf/ofr2014-1183.pdf"},{"id":294457,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1183/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252090e4b0e641df8a6dd3","contributors":{"authors":[{"text":"Talbert, Colin talbertc@usgs.gov","contributorId":4668,"corporation":false,"usgs":true,"family":"Talbert","given":"Colin","email":"talbertc@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":499778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":499777,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holmquist-Johnson, Chris","contributorId":27803,"corporation":false,"usgs":true,"family":"Holmquist-Johnson","given":"Chris","email":"","affiliations":[],"preferred":false,"id":499779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanson, Leanne hansonl@usgs.gov","contributorId":3231,"corporation":false,"usgs":true,"family":"Hanson","given":"Leanne","email":"hansonl@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":499776,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70126002,"text":"ds870 - 2014 - Watershed Data Management (WDM) database for Salt Creek streamflow simulation, DuPage County, Illinois, water years 2005-11","interactions":[],"lastModifiedDate":"2014-09-25T09:16:43","indexId":"ds870","displayToPublicDate":"2014-09-25T09:13:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"870","title":"Watershed Data Management (WDM) database for Salt Creek streamflow simulation, DuPage County, Illinois, water years 2005-11","docAbstract":"

The U.S. Geological Survey (USGS), in cooperation with DuPage County Stormwater Management Division, maintains a USGS database of hourly meteorologic and hydrologic data for use in a near real-time streamflow simulation system, which assists in the management and operation of reservoirs and other flood-control structures in the Salt Creek watershed in DuPage County, Illinois. Most of the precipitation data are collected from a tipping-bucket rain-gage network located in and near DuPage County. The other meteorologic data (wind speed, solar radiation, air temperature, and dewpoint temperature) are collected at Argonne National Laboratory in Argonne, Ill. Potential evapotranspiration is computed from the meteorologic data. The hydrologic data (discharge and stage) are collected at USGS streamflow-gaging stations in DuPage County. These data are stored in a Watershed Data Management (WDM) database. An earlier report describes in detail the WDM database development including the processing of data from January 1, 1997, through September 30, 2004, in SEP04.WDM database. SEP04.WDM is updated with the appended data from October 1, 2004, through September 30, 2011, water years 2005–11 and renamed as SEP11.WDM. This report details the processing of meteorologic and hydrologic data in SEP11.WDM.

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\n

This report provides a record of snow affected periods and the data used to fill missing-record periods for each precipitation site during water years 2005–11. The meteorologic data filling methods are described in detail in Over and others (2010), and an update is provided in this report.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds870","collaboration":"Prepared in cooperation with the DuPage County Stormwater Management Division","usgsCitation":"Bera, M., 2014, Watershed Data Management (WDM) database for Salt Creek streamflow simulation, DuPage County, Illinois, water years 2005-11: U.S. Geological Survey Data Series 870, iv, 18 p., https://doi.org/10.3133/ds870.","productDescription":"iv, 18 p.","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-051634","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":294451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds870.jpg"},{"id":294449,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0870/"},{"id":294450,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0870/pdf/ds870.pdf"}],"scale":"100000","projection":"Albers Equal-Area Conic projection","country":"United States","state":"Illinois","county":"Dupage County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.25,41.758333 ], [ -88.25,42.126389 ], [ -87.875,42.126389 ], [ -87.875,41.758333 ], [ -88.25,41.758333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252090e4b0e641df8a6de3","contributors":{"authors":[{"text":"Bera, Maitreyee 0000-0002-3968-1961 mbera@usgs.gov","orcid":"https://orcid.org/0000-0002-3968-1961","contributorId":5450,"corporation":false,"usgs":true,"family":"Bera","given":"Maitreyee","email":"mbera@usgs.gov","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":501863,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70114418,"text":"sir20145095 - 2014 - Groundwater and surface-water interaction and potential for underground water storage in the Buena Vista-Salida Basin, Chaffee County, Colorado, 2011","interactions":[],"lastModifiedDate":"2014-09-25T08:47:48","indexId":"sir20145095","displayToPublicDate":"2014-09-25T08:43:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5095","title":"Groundwater and surface-water interaction and potential for underground water storage in the Buena Vista-Salida Basin, Chaffee County, Colorado, 2011","docAbstract":"

By 2030, the population of the Arkansas Headwaters Region, which includes all of Chaffee and Lake Counties and parts of Custer, Fremont, and Park Counties, Colorado, is forecast to increase about 73 percent. As the region’s population increases, it is anticipated that groundwater will be used to meet much of the increased demand. In September 2009, the U.S. Geological Survey, in cooperation with the Upper Arkansas Water Conservancy District and with support from the Colorado Water Conservation Board; Chaffee, Custer, and Fremont Counties; Buena Vista, Cañon City, Poncha Springs, and Salida; and Round Mountain Water and Sanitation District, began a 3-year study of groundwater and surface-water conditions in the Buena Vista-Salida Basin. This report presents results from the study of the Buena Vista-Salida Basin including synoptic gain-loss measurements and water budgets of Cottonwood, Chalk, and Browns Creeks, changes in groundwater storage, estimates of specific yield, transmissivity and hydraulic conductivity from aquifer tests and slug tests, an evaluation of areas with potential for underground water storage, and estimates of stream-accretion response-time factors for hypothetical recharge and selected streams in the basin.

\n
\n

The four synoptic measurements of flow of Cottonwood, Chalk, and Browns Creeks, suggest quantifiable groundwater gains and losses in selected segments in all three perennial streams. The synoptic measurements of flow of Cottonwood and Browns Creeks suggest a seasonal variability, where positive later-irrigation season values in these creeks suggest groundwater discharge, possibly as infiltrated irrigation water. The overall sum of gains and losses on Chalk Creek does not indicate a seasonal variability but indicates a gaining stream in April and August/September. Gains and losses in the measured upper segments of Chalk Creek likely are affected by the Chalk Cliffs Rearing Unit (fish hatchery).

\n
\n

Monthly water budgets were estimated for selected segments of five perennial streams (Cottonwood, North Cottonwood, Chalk, and Browns Creeks, and South Arkansas River) in the Buena Vista-Salida Basin for calendar year 2011. Differences between reported diversions and estimated crop irrigation requirements were used to estimate groundwater recharge in the areas irrigated by water supplied from the diversions. The amount of groundwater recharge in all the basins varied monthly; however, the greatest amount of recharge was during June and July for Cottonwood, North Cottonwood, and Chalk Creeks and South Arkansas River. The greatest amount of recharge in 2011 in Browns Creek occurred in July and August. The large seasonal fluctuations of groundwater near irrigated areas in the Buena Vista-Salida Basin indicate that the increased groundwater storage resulting from infiltration of surface-water diversions has dissipated by the following spring.

\n
\n

Areas within the Buena Vista-Salida Basin with the potential for underground storage were identified using geographic information system data, including topographic, geologic, and hydrologic data, excluding the mountainous areas that border the Buena Vista-Salida Basin and igneous and metamorphic rock outcrop areas. The areas that met the selection criteria for underground water storage are located on terrace deposits near the Arkansas River and adjacent to its major tributaries. The selected areas also contain much of the irrigated land within the basin; consequently, irrigation ditches and canals could provide a means of conveying water to potential recharge sites.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145095","collaboration":"Prepared in cooperation with the Upper Arkansas Water Conservancy District; Colorado Water Conservation Board; Chaffee, Custer, and Fremont Counties; Buena Vista, Cañon City, Poncha Springs, and Salida; and Round Mountain Water and Sanitation District","usgsCitation":"Watts, K.R., Ivahnenko, T.I., Stogner, and Bruce, J.F., 2014, Groundwater and surface-water interaction and potential for underground water storage in the Buena Vista-Salida Basin, Chaffee County, Colorado, 2011: U.S. Geological Survey Scientific Investigations Report 2014-5095, viii, 63 p., https://doi.org/10.3133/sir20145095.","productDescription":"viii, 63 p.","numberOfPages":"74","onlineOnly":"Y","ipdsId":"IP-052836","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":294442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145095.jpg"},{"id":294439,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5095/"},{"id":294441,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5095/pdf/sir2014-5095.pdf"}],"projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Colorado","county":"Chaffee County","otherGeospatial":"Buena Vista-salida Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.50,38.25 ], [ -106.50,39.15 ], [ -105.25,39.15 ], [ -105.25,38.25 ], [ -106.50,38.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5425208ce4b0e641df8a6da3","contributors":{"authors":[{"text":"Watts, Kenneth R. krwatts@usgs.gov","contributorId":1647,"corporation":false,"usgs":true,"family":"Watts","given":"Kenneth","email":"krwatts@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ivahnenko, Tamara I. 0000-0002-1124-7688 ivahnenk@usgs.gov","orcid":"https://orcid.org/0000-0002-1124-7688","contributorId":2050,"corporation":false,"usgs":true,"family":"Ivahnenko","given":"Tamara","email":"ivahnenk@usgs.gov","middleInitial":"I.","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":495312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stogner 0000-0002-3185-1452 rstogner@usgs.gov","orcid":"https://orcid.org/0000-0002-3185-1452","contributorId":938,"corporation":false,"usgs":true,"family":"Stogner","email":"rstogner@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":495310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bruce, James F. 0000-0003-3125-2932 jbruce@usgs.gov","orcid":"https://orcid.org/0000-0003-3125-2932","contributorId":916,"corporation":false,"usgs":true,"family":"Bruce","given":"James","email":"jbruce@usgs.gov","middleInitial":"F.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":495309,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70122868,"text":"fs20143084 - 2014 - The National Map hydrography data stewardship: what is it and why is it important?","interactions":[],"lastModifiedDate":"2014-09-24T14:12:11","indexId":"fs20143084","displayToPublicDate":"2014-09-24T14:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3084","title":"The National Map hydrography data stewardship: what is it and why is it important?","docAbstract":"

The National Hydrography Dataset (NHD) and Watershed Boundary Dataset (WBD) were designed and populated by a large consortium of agencies involved in hydrography across the United States. The effort was led by the U.S. Geological Survey (USGS), the U.S. Environmental Protection Agency (EPA), and the Natural Resources Conservation Service (NRCS). The high-resolution NHD dataset, completed in 2007, is based on the USGS 7.5-minute series topographic maps at a scale of 1:24,000. There are now 26 million features in the NHD representing a 7.5 million mile stream network with over 6.5 million waterbodies. The six-level WBD, completed in 2010, is based on 1:24,000 scale data and contains over 23,000 watershed polygons.

\n
\n

The NHD’s flow network, attribution, and linear referencing are used to conduct extensive scientific analyses. The NHD is ideal for cartographic applications such as the US Topo topographic map series, and also is available on the Geospatial Platform, which provides shared and trusted geospatial data, services, and applications for use by government agencies, their partners, and the public. The WBD watersheds are used by scientists and managers to identify discrete drainage areas. The ongoing maintenance of the NHD and WBD is essential for improving these datasets to meet the ever increasing demand for currency, additional detail, and more significant attribution. The best source of information about changes in local hydrography are users closest to the data, such as State and local governments, as well as Federal land management agencies, and other users of the data. The need for local knowledge has led to the creation of a collaborative data stewardship process to revise and maintain the NHD.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143084","usgsCitation":"Arnold, D., 2014, The National Map hydrography data stewardship: what is it and why is it important?: U.S. Geological Survey Fact Sheet 2014-3084, 2 p., https://doi.org/10.3133/fs20143084.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-056904","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":294432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143084.jpg"},{"id":294430,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3084/"},{"id":294431,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3084/pdf/fs2014-3084.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5423cf07e4b037b608f9d3a9","contributors":{"authors":[{"text":"Arnold, Dave","contributorId":102816,"corporation":false,"usgs":true,"family":"Arnold","given":"Dave","email":"","affiliations":[],"preferred":false,"id":499694,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70115963,"text":"sim3307 - 2014 - Nearshore bathymetric mapping along a 7-mile reach of Lake Sharpe shoreline near Lower Brule, South Dakota, 2013","interactions":[],"lastModifiedDate":"2017-10-15T15:39:36","indexId":"sim3307","displayToPublicDate":"2014-09-24T12:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3307","title":"Nearshore bathymetric mapping along a 7-mile reach of Lake Sharpe shoreline near Lower Brule, South Dakota, 2013","docAbstract":"

Shoreline erosion rates along Lake Sharpe, a Missouri River reservoir, near the community of Lower Brule, South Dakota, were studied previously during 2011–12 by the U.S. Geological Survey, the Lower Brule Sioux Tribe, and Oglala Lakota College. The rapid shoreline retreat has caused many detrimental effects along the shoreline of Lake Sharpe, including losses of cultural sites, recreation access points, wildlife habitat, irrigated cropland, and landmass. The Lower Brule Sioux Tribe is considering options to reduce or stop erosion. One such option for consideration is the placement of discontinuous rock breakwater structures in shallow water to reduce wave action at shore. Information on the depth of water and stability characteristics of bottom material in nearshore areas of Lake Sharpe is needed by the Lower Brule Sioux Tribe to develop structural mitigation alternatives. To help address this need, a bathymetric survey of nearshore areas of Lake Sharpe near Lower Brule, South Dakota, was completed in 2013 by the U.S. Geological Survey in cooperation with the Lower Brule Sioux Tribe.

HYPACK® hydrographic survey software was used to plan data collection transects for a 7-mile reach of Lake Sharpe shoreline near Lower Brule, South Dakota. Regular data collection transects and oblique transects were planned to allow for quality-assurance/quality-control comparisons.

Two methods of data collection were used in the bathymetric survey: (1) measurement from a boat using bathymetric instrumentation where water was more than 2 feet deep, and (2) wading using Real-Time Kinematic Global Navigation Satellite System equipment on shore and where water was shallower than 2 feet deep. A dual frequency, 24- or 200-kilohertz narrow beam, depth transducer was used in conjunction with a Teledyne Odom CV100 dual frequency echosounder for boat-based data collection. In water too shallow for boat navigation, the elevation and nature of the reservoir bottom were mapped using Real-Time Kinematic Global Navigation Satellite System equipment.

Once the data collection effort was completed, data editing was performed in HYPACK® to remove erroneous data points and to apply water-surface elevations. Maps were developed separately for water depth and bottom elevation for the study area. Lines of equal water depth for 2, 3, 3.5, 4, and 5 feet from the water surface to the lake bottom were mapped in nearshore areas of Lake Sharpe. Overall, water depths stay shallow for quite a distance from shore. In the 288 transects that crossed a 2 foot depth line, this depth occurred an average of 88 feet from shore. Similarly, in the 317 transects that crossed a 3 foot depth line, this did not occur until an average of 343 feet from shore. Elevation contours of the lake bottom were mapped primarily for elevations ranging from 1,419 to 1,416 feet above North American Vertical Datum of 1988.

Horizontal errors of the Real-Time Kinematic Global Navigation Satellite System equipment for the study area are essentially inconsequential because water depth and bottom elevation were determined to change relatively slowly. The estimated vertical error associated with the Real-Time Kinematic Global Navigation Satellite System equipment for the study area ranges from 0.6 to 0.9 inch. This vertical error is small relative to the accuracy of the bathymetric data.

Accuracy assessments of the data collected for this study were computed according to the National Standard for Spatial Data Accuracy. The maps showing the lines of equal water depth and elevation contours of the lake bottom are able to support a 1-foot contour interval at National Standards for Spatial Data Accuracy vertical accuracy standards, which require a vertical root mean squared error of 0.30 foot or better and a fundamental vertical accuracy calculated at the 95-percent confidence level of 0.60 foot or better.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3307","collaboration":"Prepared in cooperation with the Lower Brule Sioux Tribe","usgsCitation":"Thompson, R.F., 2014, Nearshore bathymetric mapping along a 7-mile reach of Lake Sharpe shoreline near Lower Brule, South Dakota, 2013: U.S. Geological Survey Scientific Investigations Map 3307, 2 Sheets, https://doi.org/10.3133/sim3307.","productDescription":"2 Sheets","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-054566","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science 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\"}}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5423cf0fe4b037b608f9d3f6","contributors":{"authors":[{"text":"Thompson, Ryan F. 0000-0002-4544-6108 rcthomps@usgs.gov","orcid":"https://orcid.org/0000-0002-4544-6108","contributorId":2702,"corporation":false,"usgs":true,"family":"Thompson","given":"Ryan","email":"rcthomps@usgs.gov","middleInitial":"F.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495718,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70121436,"text":"ds69HH - 2014 - Map of assessed tight-gas resources in the United States","interactions":[],"lastModifiedDate":"2015-06-03T16:39:57","indexId":"ds69HH","displayToPublicDate":"2014-09-24T10:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"69","chapter":"HH","title":"Map of assessed tight-gas resources in the United States","docAbstract":"

This report presents a digital map of tight-gas resource assessments in the United States as part of the U.S. Geological Survey’s (USGS) National Assessment of Oil and Gas Project. Using a geology-based assessment methodology, the USGS quantitatively estimated potential volumes of undiscovered, technically recoverable natural gas resources within tight-gas assessment units (AUs). This is the second digital map product in a series of USGS unconventional oil and gas resource maps. The map plate included in this report can be printed in hard-copy form or downloaded in a Geographic Information System (GIS) data package, including an ArcGIS ArcMap document (.mxd), geodatabase (.gdb), and published map file (.pmf). In addition, the publication access table contains hyperlinks to current USGS tight-gas assessment publications and web pages.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds69HH","collaboration":"U.S. Geological Survey National Assessment of Oil and Gas Resources Project","usgsCitation":"Biewick, L., and USGS National Assessment of Oil and Gas Resources Team, 2014, Map of assessed tight-gas resources in the United States: U.S. Geological Survey Data Series 69, Report: iv, 6 p.; 1 Map: 17 x 131 in; Table; Downloads Directory, https://doi.org/10.3133/ds69HH.","productDescription":"Report: iv, 6 p.; 1 Map: 17 x 131 in; Table; Downloads Directory","numberOfPages":"13","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-050837","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":294408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds69hh.jpg"},{"id":294411,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-hh/pdf/dds69hh.pdf"},{"id":294409,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-hh/"},{"id":294410,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-hh/downloads/table_1.pdf"},{"id":294412,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-hh/downloads/DDS69-HH_plate1.pdf"},{"id":294413,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-hh/downloads"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5423cf0de4b037b608f9d3d4","contributors":{"authors":[{"text":"Biewick, Laura R. H. (compiler) lbiewick@usgs.gov","contributorId":92561,"corporation":false,"usgs":true,"family":"Biewick","given":"Laura R. H.","suffix":"(compiler)","email":"lbiewick@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":499071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"USGS National Assessment of Oil and Gas Resources Team","contributorId":127873,"corporation":true,"usgs":false,"organization":"USGS National Assessment of Oil and Gas Resources Team","id":535670,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70175228,"text":"70175228 - 2014 - Predicting foundation bunchgrass species abundances: Model-assisted decision-making in protected-area sagebrush steppe","interactions":[],"lastModifiedDate":"2016-08-03T08:57:14","indexId":"70175228","displayToPublicDate":"2014-09-24T10:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Predicting foundation bunchgrass species abundances: Model-assisted decision-making in protected-area sagebrush steppe","docAbstract":"

Foundation species are structurally dominant members of ecological communities that can stabilize ecological processes and influence resilience to disturbance and resistance to invasion. Being common, they are often overlooked for conservation but are increasingly threatened from land use change, biological invasions, and over-exploitation. The pattern of foundation species abundances over space and time may be used to guide decision-making, particularly in protected areas for which they are iconic. We used ordinal logistic regression to identify the important environmental influences on the abundance patterns of bluebunch wheatgrass (Pseudoroegneria spicata), Thurber's needlegrass (Achnatherum thurberianum), and Sandberg bluegrass (Poa secunda) in protected-area sagebrush steppe. We then predicted bunchgrass abundances along gradients of topography, disturbance, and invasive annual grass abundance. We used model predictions to prioritize the landscape for implementation of a management and restoration decision-support tool. Models were fit to categorical estimates of grass cover obtained from an extensive ground-based monitoring dataset. We found that remnant stands of abundant wheatgrass and bluegrass were associated with steep north-facing slopes in higher and more remote portions of the landscape outside of recently burned areas where invasive annual grasses were less abundant. These areas represented only 25% of the landscape and were prioritized for protection efforts. Needlegrass was associated with south-facing slopes, but in low abundance and in association with invasive cheatgrass (Bromus tectorum). Abundances of all three species were strongly negatively correlated with occurrence of another invasive annual grass, medusahead (Taeniatherum caput-medusae). The rarity of priority bunchgrass stands underscored the extent of degradation and the need for prioritization. We found no evidence that insularity reduced invasibility; annual grass invasion represents a serious threat to protected-area bunchgrass communities. Our study area was entirely within the Wyoming big sagebrush ecological zone, understood to have inherently low resilience to disturbance and resistance to weed invasion. However, our study revealed important variation in abundance of the foundation species associated with resilience and resistance along the topographic-soil moisture gradient within this zone, providing an important foothold for conservation decision-making in these steppe ecosystems. We found the foundation species focus a parsimonious strategy linking monitoring to decision-making via biogeographic modeling.

","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1890/ES14-00169.1","usgsCitation":"Rodhouse, T., Irvine, K.M., Sheley, R.L., Smith, B.S., Hoh, S., Esposito, D.M., and Mata-Gonzalez, R., 2014, Predicting foundation bunchgrass species abundances: Model-assisted decision-making in protected-area sagebrush steppe: Ecosphere, v. 5, no. 9, p. 1-19, https://doi.org/10.1890/ES14-00169.1.","startPage":"1","endPage":"19","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051059","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":472747,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es14-00169.1","text":"Publisher Index Page"},{"id":326006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-24","publicationStatus":"PW","scienceBaseUri":"57a315cce4b006cb45558b43","contributors":{"authors":[{"text":"Rodhouse, Thomas J.","contributorId":127378,"corporation":false,"usgs":false,"family":"Rodhouse","given":"Thomas J.","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":644426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":644425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sheley, Roger L.","contributorId":167296,"corporation":false,"usgs":false,"family":"Sheley","given":"Roger","email":"","middleInitial":"L.","affiliations":[{"id":24676,"text":"USDA-ARS, Burns Oregon","active":true,"usgs":false}],"preferred":false,"id":644427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Brenda S.","contributorId":173370,"corporation":false,"usgs":false,"family":"Smith","given":"Brenda","email":"","middleInitial":"S.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":644428,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoh, Shirley","contributorId":173371,"corporation":false,"usgs":false,"family":"Hoh","given":"Shirley","email":"","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":644429,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Esposito, Daniel M.","contributorId":173372,"corporation":false,"usgs":false,"family":"Esposito","given":"Daniel","email":"","middleInitial":"M.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":644430,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mata-Gonzalez, Ricardo","contributorId":173373,"corporation":false,"usgs":false,"family":"Mata-Gonzalez","given":"Ricardo","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":644431,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70123168,"text":"ds880 - 2014 - Data compilation for assessing sediment and toxic chemical loads from the Green River to the lower Duwamish Waterway, Washington","interactions":[],"lastModifiedDate":"2014-09-23T16:25:26","indexId":"ds880","displayToPublicDate":"2014-09-23T16:05:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"880","title":"Data compilation for assessing sediment and toxic chemical loads from the Green River to the lower Duwamish Waterway, Washington","docAbstract":"Between February and June 2013, the U.S. Geological Survey collected representative samples of whole water, suspended sediment, and (or) bed sediment from a single strategically located site on the Duwamish River, Washington, during seven periods of different flow conditions. Samples were analyzed by Washington-State-accredited laboratories for a large suite of compounds, including polycyclic aromatic hydrocarbons and other semivolatile compounds, polychlorinated biphenyl Aroclors and the 209 congeners, metals, dioxins/furans, volatile organic compounds, pesticides, butyltins, hexavalent chromium, and total organic carbon. Chemical concentrations associated with bulk bed sediment (<2 mm) and fine bed sediment (<62.5 μm) fractions were compared to chemical concentrations associated with suspended sediment. Bulk bed sediment concentrations generally were lower than fine bed sediment and suspended-sediment concentrations. Concurrent with the chemistry sampling, additional parameters were measured, including instantaneous river discharge, suspended-sediment concentration, sediment particle-size distribution, and general water-quality parameters. From these data, estimates of instantaneous sediment and chemical loads from the Green River to the Lower Duwamish Waterway were calculated.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds880","collaboration":"Prepared in cooperation with the Washington State Department of Ecology.","usgsCitation":"Conn, K., and Black, R.W., 2014, Data compilation for assessing sediment and toxic chemical loads from the Green River to the lower Duwamish Waterway, Washington: U.S. Geological Survey Data Series 880, Report: vii, 46 p.; Appendix, https://doi.org/10.3133/ds880.","productDescription":"Report: vii, 46 p.; Appendix","numberOfPages":"58","onlineOnly":"Y","ipdsId":"IP-057062","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":294393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds880.jpg"},{"id":294392,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0880/pdf/ds880.pdf"},{"id":294390,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0880/"},{"id":294391,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0880/downloads/ds880_appendix_tables.xlsx"}],"country":"United States","state":"Washington","otherGeospatial":"Duwamish Waterway","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.36615,47.473878 ], [ -122.36615,47.590952 ], [ -122.251396,47.590952 ], [ -122.251396,47.473878 ], [ -122.36615,47.473878 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5422baf2e4b08312ac7cee41","contributors":{"authors":[{"text":"Conn, Kathleen E. 0000-0002-2334-6536 kconn@usgs.gov","orcid":"https://orcid.org/0000-0002-2334-6536","contributorId":3923,"corporation":false,"usgs":true,"family":"Conn","given":"Kathleen E.","email":"kconn@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":499914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Black, Robert W. 0000-0002-4748-8213 rwblack@usgs.gov","orcid":"https://orcid.org/0000-0002-4748-8213","contributorId":1820,"corporation":false,"usgs":true,"family":"Black","given":"Robert","email":"rwblack@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":499913,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70126502,"text":"70126502 - 2014 - Organization of marine phenology data in support of planning and conservation in ocean and coastal ecosystems","interactions":[],"lastModifiedDate":"2014-10-10T16:25:42","indexId":"70126502","displayToPublicDate":"2014-09-23T14:16:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1457,"text":"Ecological Informatics","active":true,"publicationSubtype":{"id":10}},"title":"Organization of marine phenology data in support of planning and conservation in ocean and coastal ecosystems","docAbstract":"Among the many effects of climate change is its influence on the phenology of biota. In marine and coastal ecosystems, phenological shifts have been documented for multiple life forms; however, biological data related to marine species' phenology remain difficult to access and is under-used. We conducted an assessment of potential sources of biological data for marine species and their availability for use in phenological analyses and assessments. Our evaluations showed that data potentially related to understanding marine species' phenology are available through online resources of governmental, academic, and non-governmental organizations, but appropriate datasets are often difficult to discover and access, presenting opportunities for scientific infrastructure improvement. The developing Federal Marine Data Architecture when fully implemented will improve data flow and standardization for marine data within major federal repositories and provide an archival repository for collaborating academic and public data contributors. Another opportunity, largely untapped, is the engagement of citizen scientists in standardized collection of marine phenology data and contribution of these data to established data flows. Use of metadata with marine phenology related keywords could improve discovery and access to appropriate datasets. When data originators choose to self-publish, publication of research datasets with a digital object identifier, linked to metadata, will also improve subsequent discovery and access. Phenological changes in the marine environment will affect human economics, food systems, and recreation. No one source of data will be sufficient to understand these changes. The collective attention of marine data collectors is needed—whether with an agency, an educational institution, or a citizen scientist group—toward adopting the data management processes and standards needed to ensure availability of sufficient and useable marine data to understand marine phenology.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Informatics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoinf.2014.08.007","usgsCitation":"Thomas, K.A., Fornwall, M.D., Weltzin, J., and Griffis, R., 2014, Organization of marine phenology data in support of planning and conservation in ocean and coastal ecosystems: Ecological Informatics, v. 24, p. 169-176, https://doi.org/10.1016/j.ecoinf.2014.08.007.","productDescription":"8 p.","startPage":"169","endPage":"176","numberOfPages":"8","ipdsId":"IP-057863","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":472750,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoinf.2014.08.007","text":"Publisher Index Page"},{"id":294368,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294367,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecoinf.2014.08.007"}],"volume":"24","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5422baf7e4b08312ac7cee6f","contributors":{"authors":[{"text":"Thomas, Kathryn A. 0000-0002-7131-8564 kathryn_a_thomas@usgs.gov","orcid":"https://orcid.org/0000-0002-7131-8564","contributorId":167,"corporation":false,"usgs":true,"family":"Thomas","given":"Kathryn","email":"kathryn_a_thomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":502107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fornwall, Mark D.","contributorId":78659,"corporation":false,"usgs":true,"family":"Fornwall","given":"Mark","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":502110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weltzin, Jake F.","contributorId":51005,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake F.","affiliations":[],"preferred":false,"id":502108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffis, R.B.","contributorId":65017,"corporation":false,"usgs":true,"family":"Griffis","given":"R.B.","email":"","affiliations":[],"preferred":false,"id":502109,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70123803,"text":"ofr20141195 - 2014 - A compilation of K-Ar-ages for southern California","interactions":[],"lastModifiedDate":"2014-09-23T15:34:48","indexId":"ofr20141195","displayToPublicDate":"2014-09-23T14:07:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1195","title":"A compilation of K-Ar-ages for southern California","docAbstract":"

The purpose of this report is to make available a large body of conventional K-Ar ages for granitic, volcanic, and metamorphic rocks collected in southern California. Although one interpretive map is included, the report consists primarily of a systematic listing, without discussion or interpretation, of published and unpublished ages that may be of value in future regional and other geologic studies.

\n
\n

From 1973 to 1979, 468 rock samples from southern California were collected for conventional K-Ar dating under a regional geologic mapping project of Southern California (predecessor of the Southern California Areal Mapping Project). Most samples were collected and dated between 1974 and 1977. For 61 samples (13 percent of those collected), either they were discarded for varying reasons, or the original collection data were lost. For the remaining samples, 518 conventional K-Ar ages are reported here; coexisting mineral pairs were dated from many samples. Of these K-Ar ages, 225 are previously unpublished, and identified as such in table 1. All K-Ar ages are by conventional K-Ar analysis; no 40Ar/39Ar dating was done.

\n
\n

Subsequent to the rock samples collected in the 1970s and reported here, 33 samples were collected and 38 conventional K-Ar ages determined under projects directed at (1) characterization of the Mesozoic and Cenozoic igneous rocks in and on both sides of the Transverse Ranges and (2) clarifying the Mesozoic and Cenozoic tectonics of the eastern Mojave Desert. Although previously published (Beckerman et al., 1982), another eight samples and 11 conventional K-Ar ages are included here, because they augment those completed under the previous two projects.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141195","usgsCitation":"Miller, F.K., Morton, D.M., Morton, J.L., and Miller, D., 2014, A compilation of K-Ar-ages for southern California: U.S. Geological Survey Open-File Report 2014-1195, Report: iii, 3 p.; 2 Plates: 22.64 x 17.02 inches; 1 Table, https://doi.org/10.3133/ofr20141195.","productDescription":"Report: iii, 3 p.; 2 Plates: 22.64 x 17.02 inches; 1 Table","numberOfPages":"8","onlineOnly":"Y","ipdsId":"IP-039180","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":294364,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141195.JPG"},{"id":294362,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1195/downloads/ofr2014-1195_fig2.pdf"},{"id":294363,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2014/1195/downloads/ofr2014-1195_table1.docx"},{"id":294360,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1195/pdf/ofr2014-1195.pdf"},{"id":294361,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1195/downloads/ofr2014-1195_fig1.pdf"},{"id":293509,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1195/"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.00,33.25 ], [ -119.00,35.50 ], [ -115.00,35.50 ], [ -115.00,33.25 ], [ -119.00,33.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5422bae5e4b08312ac7cedf3","contributors":{"authors":[{"text":"Miller, Fred K.","contributorId":89503,"corporation":false,"usgs":true,"family":"Miller","given":"Fred","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":500296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morton, Douglas M. scamp@usgs.gov","contributorId":4102,"corporation":false,"usgs":true,"family":"Morton","given":"Douglas","email":"scamp@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":500294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morton, Janet L.","contributorId":37269,"corporation":false,"usgs":true,"family":"Morton","given":"Janet","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":500295,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":1707,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":500293,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70118078,"text":"70118078 - 2014 - A generalization of the double-corner-frequency source spectral model and its use in the SCEC BBP validation exercise","interactions":[],"lastModifiedDate":"2014-10-10T16:23:32","indexId":"70118078","displayToPublicDate":"2014-09-23T13:38:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"A generalization of the double-corner-frequency source spectral model and its use in the SCEC BBP validation exercise","docAbstract":"The stochastic method of simulating ground motions requires the specification of the shape and scaling with magnitude of the source spectrum. The spectral models commonly used are either single-corner-frequency or double-corner-frequency models, but the latter have no flexibility to vary the high-frequency spectral levels for a specified seismic moment. Two generalized double-corner-frequency ω2 source spectral models are introduced, one in which two spectra are multiplied together, and another where they are added. Both models have a low-frequency dependence controlled by the seismic moment, and a high-frequency spectral level controlled by the seismic moment and a stress parameter. A wide range of spectral shapes can be obtained from these generalized spectral models, which makes them suitable for inversions of data to obtain spectral models that can be used in ground-motion simulations in situations where adequate data are not available for purely empirical determinations of ground motions, as in stable continental regions. As an example of the use of the generalized source spectral models, data from up to 40 stations from seven events, plus response spectra at two distances and two magnitudes from recent ground-motion prediction equations, were inverted to obtain the parameters controlling the spectral shapes, as well as a finite-fault factor that is used in point-source, stochastic-method simulations of ground motion. The fits to the data are comparable to or even better than those from finite-fault simulations, even for sites close to large earthquakes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120140138","usgsCitation":"Boore, D.M., Di Alessandro, C., and Abrahamson, N., 2014, A generalization of the double-corner-frequency source spectral model and its use in the SCEC BBP validation exercise: Bulletin of the Seismological Society of America, v. 104, no. 5, p. 2387-2398, https://doi.org/10.1785/0120140138.","productDescription":"12 p.","startPage":"2387","endPage":"2398","numberOfPages":"12","ipdsId":"IP-057075","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":294349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294347,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120140138"}],"volume":"104","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-09-16","publicationStatus":"PW","scienceBaseUri":"5422bae7e4b08312ac7cedfa","contributors":{"authors":[{"text":"Boore, David M. boore@usgs.gov","contributorId":2509,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":496235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Di Alessandro, Carola","contributorId":43436,"corporation":false,"usgs":true,"family":"Di Alessandro","given":"Carola","email":"","affiliations":[],"preferred":false,"id":496236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abrahamson, Norman A.","contributorId":45202,"corporation":false,"usgs":false,"family":"Abrahamson","given":"Norman A.","affiliations":[{"id":13174,"text":"Pacific Gas & Electric","active":true,"usgs":false}],"preferred":false,"id":496237,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70115047,"text":"sir20145120 - 2014 - Digital database of microfossil localities in Alameda and Contra Costa Counties, California","interactions":[],"lastModifiedDate":"2017-10-30T13:04:54","indexId":"sir20145120","displayToPublicDate":"2014-09-23T13:22:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5120","title":"Digital database of microfossil localities in Alameda and Contra Costa Counties, California","docAbstract":"The eastern San Francisco Bay region (Contra Costa and Alameda Counties, California) is a geologically complex area divided by faults into a suite of tectonic blocks. Each block contains a unique stratigraphic sequence of Tertiary sediments that in most blocks unconformably overlie Mesozoic sediments. Age and environmental interpretations based on analysis of microfossil assemblages are key factors in interpreting geologic history, structure, and correlation of each block. Much of this data, however, is distributed in unpublished internal reports and memos, and is generally unavailable to the geologic community. In this report the U.S. Geological Survey microfossil data from the Tertiary sediments of Alameda and Contra Costa counties are analyzed and presented in a digital database, which provides a user-friendly summary of the micropaleontologic data, locality information, and biostratigraphic and ecologic interpretations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145120","usgsCitation":"McDougall, K., and Block, D.L., 2014, Digital database of microfossil localities in Alameda and Contra Costa Counties, California: U.S. Geological Survey Scientific Investigations Report 2014-5120, Report: viii, 108 p.; 1 Plate: 36.00 x 20.00 inches; Metadata; Dataset, https://doi.org/10.3133/sir20145120.","productDescription":"Report: viii, 108 p.; 1 Plate: 36.00 x 20.00 inches; Metadata; Dataset","numberOfPages":"116","onlineOnly":"Y","ipdsId":"IP-044478","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":294344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145120.jpg"},{"id":289273,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5120/"},{"id":294342,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2014/5120/downloads/sir2014-5120_metadata.html"},{"id":294343,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2014/5120/downloads/sir2014-5120_dataset.kmz"},{"id":294340,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5120/pdf/sir2014-5120.pdf"},{"id":294341,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5120/pdf/sir2014-5120_plate1.pdf"}],"country":"United States","state":"California","county":"Alameda County;Contra Costa County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.50,37.50 ], [ -122.50,38.166667 ], [ -121.666667,38.166667 ], [ -121.666667,37.50 ], [ -122.50,37.50 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5422baf4e4b08312ac7cee50","contributors":{"authors":[{"text":"McDougall, Kristin 0000-0002-8788-3664","orcid":"https://orcid.org/0000-0002-8788-3664","contributorId":85610,"corporation":false,"usgs":true,"family":"McDougall","given":"Kristin","affiliations":[],"preferred":false,"id":495493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Block, Debra L. 0000-0001-7348-3064 dblock@usgs.gov","orcid":"https://orcid.org/0000-0001-7348-3064","contributorId":3587,"corporation":false,"usgs":true,"family":"Block","given":"Debra","email":"dblock@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":495492,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}