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,{"id":70048865,"text":"70048865 - 2014 - Hysteresis and uncertainty in soil water-retention curve parameters","interactions":[],"lastModifiedDate":"2018-03-08T15:54:54","indexId":"70048865","displayToPublicDate":"2013-12-01T14:48:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2327,"text":"Journal of Geotechnical and Geoenvironmental Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Hysteresis and uncertainty in soil water-retention curve parameters","docAbstract":"Accurate estimates of soil hydraulic parameters representing wetting and drying paths are required for predicting hydraulic and mechanical responses in a large number of applications. A comprehensive suite of laboratory experiments was conducted to measure hysteretic soil-water characteristic curves (SWCCs) representing a wide range of soil types. Results were used to quantitatively assess differences and uncertainty in three simplifications frequently adopted to estimate wetting-path SWCC parameters from more easily measured drying curves. They are the following: (1) α<sup>w</sup>=2α<sup>d</sup>, (2) n<sup>w</sup>=n<sup>d</sup>, and (3) θ<sup>w</sup><sub>s</sub>=θ<sup>d</sup><sub>s</sub>, where α, n, and θ<sub>s</sub> are fitting parameters entering van Genuchten’s commonly adopted SWCC model, and the superscripts w and d indicate wetting and drying paths, respectively. The average ratio αw/αd for the data set was 2.24±1.25. Nominally cohesive soils had a lower α<sup>w</sup>/α<sup>d</sup> ratio (1.73±0.94) than nominally cohesionless soils (3.14±1.27). The average n<sup>w</sup>/n<sup>d</sup> ratio was 1.01±0.11 with no significant dependency on soil type, thus confirming the n<sup>w</sup>=n<sup>d</sup> simplification for a wider range of soil types than previously available. Water content at zero suction during wetting (θ<sup>w</sup><sub>s</sub>) was consistently less than during drying (θ<sup>d</sup><sub>s</sub>) owing to air entrapment. The θ<sup>w</sup><sub>s</sub>/θ<sup>d</sup>s</sup> ratio averaged 0.85±0.10 and was comparable for nominally cohesive (0.87±0.11) and cohesionless (0.81±0.08) soils. Regression statistics are provided to quantitatively account for uncertainty in estimating hysteretic retention curves. Practical consequences are demonstrated for two case studies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geotechnical and Geoenvironmental Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)GT.1943-5606.0001071","usgsCitation":"Likos, W.J., Lu, N., and Godt, J.W., 2014, Hysteresis and uncertainty in soil water-retention curve parameters: Journal of Geotechnical and Geoenvironmental Engineering, v. 140, no. 4, 11 p., https://doi.org/10.1061/(ASCE)GT.1943-5606.0001071.","productDescription":"11 p.","numberOfPages":"11","ipdsId":"IP-052321","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":280761,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280760,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)GT.1943-5606.0001071"}],"volume":"140","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd61dee4b0b290850fdcdf","contributors":{"authors":[{"text":"Likos, William J.","contributorId":14725,"corporation":false,"usgs":true,"family":"Likos","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":485767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Ning","contributorId":191360,"corporation":false,"usgs":false,"family":"Lu","given":"Ning","email":"","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":485768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":485766,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70098946,"text":"70098946 - 2014 - Seasonal cultivated and fallow cropland mapping using MODIS-based automated cropland classification algorithm","interactions":[],"lastModifiedDate":"2017-04-06T16:13:58","indexId":"70098946","displayToPublicDate":"2013-12-01T14:31:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2172,"text":"Journal of Applied Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal cultivated and fallow cropland mapping using MODIS-based automated cropland classification algorithm","docAbstract":"Increasing drought occurrences and growing populations demand accurate, routine, and consistent cultivated and fallow cropland products to enable water and food security analysis. The overarching goal of this research was to develop and test automated cropland classification algorithm (ACCA) that provide accurate, consistent, and repeatable information on seasonal cultivated as well as seasonal fallow cropland extents and areas based on the Moderate Resolution Imaging Spectroradiometer remote sensing data. Seasonal ACCA development process involves writing series of iterative decision tree codes to separate cultivated and fallow croplands from noncroplands, aiming to accurately mirror reliable reference data sources. A pixel-by-pixel accuracy assessment when compared with the U.S. Department of Agriculture (USDA) cropland data showed, on average, a producer’s accuracy of 93% and a user’s accuracy of 85% across all months. Further, ACCA-derived cropland maps agreed well with the USDA Farm Service Agency crop acreage-reported data for both cultivated and fallow croplands with R-square values over 0.7 and field surveys with an accuracy of ≥95% for cultivated croplands and ≥76% for fallow croplands. Our results demonstrated the ability of ACCA to generate cropland products, such as cultivated and fallow cropland extents and areas, accurately, automatically, and repeatedly throughout the growing season.","language":"English","publisher":"SPIE","doi":"10.1117/1.JRS.8.083685","usgsCitation":"Wu, Z., Thenkabail, P.S., Mueller, R., Zakzeski, A., Melton, F., Johnson, L., Rosevelt, C., Dwyer, J., Jones, J., and Verdin, J.P., 2014, Seasonal cultivated and fallow cropland mapping using MODIS-based automated cropland classification algorithm: Journal of Applied Remote Sensing, v. 8, no. 1, Article 083685; 17 p., https://doi.org/10.1117/1.JRS.8.083685.","productDescription":"Article 083685; 17 p.","numberOfPages":"17","ipdsId":"IP-044862","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":473328,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1117/1.jrs.8.083685","text":"Publisher Index Page"},{"id":284264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284265,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1117/1.JRS.8.083685"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125.0,33.0 ], [ -125.0,42.0 ], [ -115.0,42.0 ], [ -115.0,33.0 ], [ -125.0,33.0 ] ] ] } } ] }","volume":"8","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd71abe4b0b29085107d2e","contributors":{"authors":[{"text":"Wu, Zhuoting 0000-0001-7393-1832 zwu@usgs.gov","orcid":"https://orcid.org/0000-0001-7393-1832","contributorId":4953,"corporation":false,"usgs":true,"family":"Wu","given":"Zhuoting","email":"zwu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"preferred":true,"id":491771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":491769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueller, Rick","contributorId":101182,"corporation":false,"usgs":false,"family":"Mueller","given":"Rick","email":"","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":491778,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zakzeski, Audra","contributorId":79796,"corporation":false,"usgs":true,"family":"Zakzeski","given":"Audra","email":"","affiliations":[],"preferred":false,"id":491777,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Melton, F.","contributorId":34039,"corporation":false,"usgs":true,"family":"Melton","given":"F.","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":491774,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Lee","contributorId":60122,"corporation":false,"usgs":true,"family":"Johnson","given":"Lee","email":"","affiliations":[],"preferred":false,"id":491776,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rosevelt, Carolyn","contributorId":25455,"corporation":false,"usgs":true,"family":"Rosevelt","given":"Carolyn","email":"","affiliations":[],"preferred":false,"id":491773,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dwyer, John","contributorId":45042,"corporation":false,"usgs":true,"family":"Dwyer","given":"John","affiliations":[],"preferred":false,"id":491775,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones, Jeanine","contributorId":6758,"corporation":false,"usgs":true,"family":"Jones","given":"Jeanine","email":"","affiliations":[],"preferred":false,"id":491772,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":491770,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70049728,"text":"70049728 - 2014 - Agricultural disturbance response models for invertebrate and algal metrics from streams at two spatial scales within the U.S.","interactions":[],"lastModifiedDate":"2014-01-24T09:47:59","indexId":"70049728","displayToPublicDate":"2013-12-01T11:21:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Agricultural disturbance response models for invertebrate and algal metrics from streams at two spatial scales within the U.S.","docAbstract":"As part of the USGS study of nutrient enrichment of streams in agricultural regions throughout the United States, about 30 sites within each of eight study areas were selected to capture a gradient of nutrient conditions. The objective was to develop watershed disturbance predictive models for macroinvertebrate and algal metrics at national and three regional landscape scales to obtain a better understanding of important explanatory variables. Explanatory variables in models were generated from landscape data, habitat, and chemistry. Instream nutrient concentration and variables assessing the amount of disturbance to the riparian zone (e.g., percent row crops or percent agriculture) were selected as most important explanatory variable in almost all boosted regression tree models regardless of landscape scale or assemblage. Frequently, TN and TP concentration and riparian agricultural land use variables showed a threshold type response at relatively low values to biotic metrics modeled. Some measure of habitat condition was also commonly selected in the final invertebrate models, though the variable(s) varied across regions. Results suggest national models tended to account for more general landscape/climate differences, while regional models incorporated both broad landscape scale and more specific local-scale variables.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10750-013-1774-4","usgsCitation":"Waite, I.R., 2014, Agricultural disturbance response models for invertebrate and algal metrics from streams at two spatial scales within the U.S.: Hydrobiologia, v. 726, no. 1, p. 285-303, https://doi.org/10.1007/s10750-013-1774-4.","productDescription":"19 p.","startPage":"285","endPage":"303","numberOfPages":"19","ipdsId":"IP-038732","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":280866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280865,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-013-1774-4"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"726","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-12-18","publicationStatus":"PW","scienceBaseUri":"53cd4c08e4b0b290850f0b8b","contributors":{"authors":[{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486107,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70096238,"text":"70096238 - 2014 - Near-bottom circulation and dispersion of sediment containing <i>Alexandrium fundyense</i> cysts in the Gulf of Maine during 2010-2011","interactions":[],"lastModifiedDate":"2014-05-29T14:45:26","indexId":"70096238","displayToPublicDate":"2013-12-01T10:38:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1371,"text":"Deep-Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Near-bottom circulation and dispersion of sediment containing <i>Alexandrium fundyense</i> cysts in the Gulf of Maine during 2010-2011","docAbstract":"The life cycle of <i>Alexandrium fundyense</i> in the Gulf of Maine includes a dormant cyst stage that spends the winter predominantly in the bottom sediment. Wave-current bottom stress caused by storms and tides induces resuspension of cyst-containing sediment during winter and spring. Resuspended sediment could be transported by water flow to different locations in the Gulf and the redistribution of sediment containing <i>A. fundyense</i> cysts could alter the spatial and temporal manifestation of its spring bloom. The present study evaluates model near-bottom flow during storms, when sediment resuspension and redistribution are most likely to occur, between October and May when <i>A. fundyense</i> cells are predominantly in cyst form. Simulated water column sediment (mud) concentrations from representative locations of the Gulf are used to initialize particle tracking simulations for the period October 2010–May 2011. Particles are tracked in full three-dimensional model solutions including a sinking velocity characteristic of cyst and aggregated mud settling (0.1 mm s<sup>−</sup>1). Although most of the material was redeposited near the source areas, small percentages of total resuspended sediment from some locations in the western (~4%) and eastern (2%) Maine shelf and the Bay of Fundy (1%) traveled distances longer than 100 km before resettling. The redistribution changed seasonally and was sensitive to the prescribed sinking rate. Estimates of the amount of cysts redistributed with the sediment were small compared to the inventory of cysts in the upper few centimeters of sediment but could potentially have more relevance immediately after deposition.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Deep-Sea Research Part II: Topical Studies in Oceanography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2013.11.003","usgsCitation":"Aretxabaleta, A., Butman, B., Signell, R.P., Dalyander, P., Sherwood, C.R., Sheremet, V.A., and McGillicuddy, D.J., 2014, Near-bottom circulation and dispersion of sediment containing <i>Alexandrium fundyense</i> cysts in the Gulf of Maine during 2010-2011: Deep-Sea Research Part II: Topical Studies in Oceanography, v. 103, p. 96-111, https://doi.org/10.1016/j.dsr2.2013.11.003.","productDescription":"16 p.","startPage":"96","endPage":"111","numberOfPages":"16","ipdsId":"IP-051764","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473329,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dsr2.2013.11.003","text":"Publisher Index Page"},{"id":283874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283873,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.dsr2.2013.11.003"}],"country":"United States","state":"Maine","otherGeospatial":"Bay Of Fundy;Gulf Of Maine","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.0,42.5 ], [ -71.0,45.5 ], [ -65.0,45.5 ], [ -65.0,42.5 ], [ -71.0,42.5 ] ] ] } } ] }","volume":"103","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53885706e4b0318b93124adf","contributors":{"authors":[{"text":"Aretxabaleta, Alfredo L.","contributorId":41311,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo L.","affiliations":[],"preferred":false,"id":491497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butman, Bradford 0000-0002-4174-2073 bbutman@usgs.gov","orcid":"https://orcid.org/0000-0002-4174-2073","contributorId":943,"corporation":false,"usgs":true,"family":"Butman","given":"Bradford","email":"bbutman@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":491493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Signell, Richard P. rsignell@usgs.gov","contributorId":1435,"corporation":false,"usgs":true,"family":"Signell","given":"Richard","email":"rsignell@usgs.gov","middleInitial":"P.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":491494,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":65177,"corporation":false,"usgs":true,"family":"Dalyander","given":"P. Soupy","affiliations":[],"preferred":false,"id":491499,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":491495,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sheremet, Vitalii A.","contributorId":52886,"corporation":false,"usgs":true,"family":"Sheremet","given":"Vitalii","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":491498,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McGillicuddy, Dennis J. Jr.","contributorId":13541,"corporation":false,"usgs":true,"family":"McGillicuddy","given":"Dennis","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":491496,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70068813,"text":"70068813 - 2014 - Compaction and gas loss in welded pyroclastic deposits as revealed by porosity, permeability, and electrical conductivity measurements of the Shevlin Park Tuff","interactions":[],"lastModifiedDate":"2019-03-14T09:28:56","indexId":"70068813","displayToPublicDate":"2013-12-01T10:32:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Compaction and gas loss in welded pyroclastic deposits as revealed by porosity, permeability, and electrical conductivity measurements of the Shevlin Park Tuff","docAbstract":"Pyroclastic flows produced by large volcanic eruptions commonly densify after emplacement. Processes of gas escape, compaction, and welding in pyroclastic-flow deposits are controlled by the physical and thermal properties of constituent material. Through measurements of matrix porosity, permeability, and electrical conductivity, we provide a framework for understanding the evolution of pore structure during these processes. Using data from the Shevlin Park Tuff in central Oregon, United States, and from the literature, we find that over a porosity range of 0%–70%, matrix permeability varies by almost 10 orders of magnitude (from 10<sup>–20</sup> to 10<sup>–11</sup> m<sup>2</sup>), with over three orders of magnitude variation at any given porosity. Part of the variation at a given porosity is due to permeability anisotropy, where oriented core samples indicate higher permeabilities parallel to foliation (horizontally) than perpendicular to foliation (vertically). This suggests that pore space is flattened during compaction, creating anisotropic crack-like networks, a geometry that is supported by electrical conductivity measurements. We find that the power law equation: <i>k</i><sub>1</sub> = 1.3 × 10<sup>–21</sup> × ϕ<sup>5.2</sup> provides the best approximation of dominant horizontal gas loss, where <i>k</i><sub>1</sub> = permeability, and ϕ = porosity. Application of Kozeny-Carman fluid-flow approximations suggests that permeability in the Shevlin Park Tuff is controlled by crack- or disk-like pore apertures with minimum widths of 0.3 and 7.5 μm. We find that matrix permeability limits compaction over short times, but deformation is then controlled by competition among cooling, compaction, water resorption, and permeable gas escape. These competing processes control the potential for development of overpressure (and secondary explosions) and the degree of welding in the deposit, processes that are applicable to viscous densification of volcanic deposits in general. Further, the general relationships among porosity, permeability, and pore geometry are relevant for flow of any fluid through an ignimbritic host.","language":"English","publisher":"Geological Society of America","doi":"10.1130/B30668.1","usgsCitation":"Wright, H.M., and Cashman, K., 2014, Compaction and gas loss in welded pyroclastic deposits as revealed by porosity, permeability, and electrical conductivity measurements of the Shevlin Park Tuff: GSA Bulletin, v. 126, no. 1-2, p. 234-247, https://doi.org/10.1130/B30668.1.","productDescription":"14 p.","startPage":"234","endPage":"247","numberOfPages":"14","ipdsId":"IP-042666","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":280975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Shevlin Park Tuff","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.7,43.933333 ], [ -121.7,44.3 ], [ -121.3,44.3 ], [ -121.3,43.933333 ], [ -121.7,43.933333 ] ] ] } } ] }","volume":"126","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2013-12-13","publicationStatus":"PW","scienceBaseUri":"53cd51e7e4b0b290850f4342","contributors":{"authors":[{"text":"Wright, Heather M. 0000-0001-9013-507X hwright@usgs.gov","orcid":"https://orcid.org/0000-0001-9013-507X","contributorId":3949,"corporation":false,"usgs":true,"family":"Wright","given":"Heather","email":"hwright@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":488132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cashman, Katharine V.","contributorId":40097,"corporation":false,"usgs":false,"family":"Cashman","given":"Katharine V.","affiliations":[],"preferred":false,"id":488133,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048647,"text":"70048647 - 2014 - The Mw 5.8 Mineral, Virginia, earthquake of August 2011 and aftershock sequence: constraints on earthquake source parameters and fault geometry","interactions":[],"lastModifiedDate":"2014-02-24T11:04:12","indexId":"70048647","displayToPublicDate":"2013-12-01T10:09:00","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":"The Mw 5.8 Mineral, Virginia, earthquake of August 2011 and aftershock sequence: constraints on earthquake source parameters and fault geometry","docAbstract":"<p>The M<sub>w</sub> 5.8 earthquake of 23 August 2011 (17:51:04 UTC) (moment, M0 5.7×10<sup>17</sup>  N·m) occurred near Mineral, Virginia, within the central Virginia seismic zone and was felt by more people than any other earthquake in United States history. The U.S. Geological Survey (USGS) received 148,638 felt reports from 31 states and 4 Canadian provinces. The USGS PAGER system estimates as many as 120,000 people were exposed to shaking intensity levels of IV and greater, with approximately 10,000 exposed to shaking as high as intensity VIII. Both regional and teleseismic moment tensor solutions characterize the earthquake as a northeast‐striking reverse fault that nucleated at a depth of approximately 7±2  km. The distribution of reported macroseismic intensities is roughly ten times the area of a similarly sized earthquake in the western United States (Horton and Williams, 2012). Near‐source and far‐field damage reports, which extend as far away as Washington, D.C., (135 km away) and Baltimore, Maryland, (200 km away) are consistent with an earthquake of this size and depth in the eastern United States (EUS).</p>\n<br/>\n<p>Within the first few days following the earthquake, several government and academic institutions installed 36 portable seismograph stations in the epicentral region, making this among the best‐recorded aftershock sequences in the EUS. Based on modeling of these data, we provide a detailed description of the source parameters of the mainshock and analysis of the subsequent aftershock sequence for defining the fault geometry, area of rupture, and observations of the aftershock sequence magnitude–frequency and temporal distribution. The observed slope of the magnitude–frequency curve or b‐value for the aftershock sequence is consistent with previous EUS studies (b=0.75), suggesting that most of the accumulated strain was released by the mainshock. The aftershocks define a rupture that extends between approximately 2–8 km in depth and 8–10 km along the strike of the fault plane. Best‐fit modeling of the geometry of the aftershock sequence defines a rupture plane that strikes N36°E and dips to the east‐southeast at 49.5°. Moment tensor solutions of the mainshock and larger aftershocks are consistent with the distribution of aftershock locations, both indicating reverse slip along a northeast–southwest striking southeast‐dipping fault plane.</p>","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":"10.1785/0120130058","usgsCitation":"McNamara, D.E., Benz, H., Herrmann, R., Bergman, E.A., Earle, P., Meltzer, A., Withers, M., and Chapman, M., 2014, The Mw 5.8 Mineral, Virginia, earthquake of August 2011 and aftershock sequence: constraints on earthquake source parameters and fault geometry: Bulletin of the Seismological Society of America, v. 104, no. 1, p. 40-54, https://doi.org/10.1785/0120130058.","productDescription":"15 p.","startPage":"40","endPage":"54","numberOfPages":"15","ipdsId":"IP-051290","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":280971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280970,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120130058"}],"country":"Canada;United States","state":"Virginia","city":"Mineral","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.86,30.86 ], [ -88.86,46.86 ], [ -66.8,46.86 ], [ -66.8,30.86 ], [ -88.86,30.86 ] ] ] } } ] }","volume":"104","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-12-24","publicationStatus":"PW","scienceBaseUri":"53cd7714e4b0b2908510b519","contributors":{"authors":[{"text":"McNamara, Daniel E. 0000-0001-6860-0350 mcnamara@usgs.gov","orcid":"https://orcid.org/0000-0001-6860-0350","contributorId":402,"corporation":false,"usgs":true,"family":"McNamara","given":"Daniel","email":"mcnamara@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":485272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benz, H.M.","contributorId":21594,"corporation":false,"usgs":true,"family":"Benz","given":"H.M.","email":"","affiliations":[],"preferred":false,"id":485274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herrmann, Robert B.","contributorId":80255,"corporation":false,"usgs":false,"family":"Herrmann","given":"Robert B.","affiliations":[],"preferred":false,"id":485278,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergman, Eric A. 0000-0002-7069-8286","orcid":"https://orcid.org/0000-0002-7069-8286","contributorId":84513,"corporation":false,"usgs":false,"family":"Bergman","given":"Eric","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":485279,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Earle, Paul","contributorId":13536,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","affiliations":[],"preferred":false,"id":485273,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meltzer, Anne","contributorId":64559,"corporation":false,"usgs":true,"family":"Meltzer","given":"Anne","affiliations":[],"preferred":false,"id":485277,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Withers, Mitch","contributorId":24684,"corporation":false,"usgs":true,"family":"Withers","given":"Mitch","email":"","affiliations":[],"preferred":false,"id":485275,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chapman, Martin","contributorId":45622,"corporation":false,"usgs":true,"family":"Chapman","given":"Martin","affiliations":[],"preferred":false,"id":485276,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70093432,"text":"70093432 - 2014 - An evaluation of temporal changes in sediment accumulation and impacts on carbon burial in Mobile Bay, Alabama, USA","interactions":[],"lastModifiedDate":"2025-05-13T17:02:45.609004","indexId":"70093432","displayToPublicDate":"2013-12-01T09:56:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of temporal changes in sediment accumulation and impacts on carbon burial in Mobile Bay, Alabama, USA","docAbstract":"The estuarine environment can serve as either a source or sink of carbon relative to the coastal ocean carbon budget. A variety of time-dependent processes such as sedimentation, carbon supply, and productivity dictate how estuarine systems operate, and Mobile Bay is a system that has experienced both natural and anthropogenic perturbations that influenced depositional processes and carbon cycling. Sediments from eight box cores provide a record of change in bulk sediment accumulation and carbon burial over the past 110 years. Accumulation rates in the central part of the basin (0.09 g cm<sup>−2</sup>) were 60–80 % less than those observed at the head (0.361 g cm<sup>−2</sup>) and mouth (0.564 g cm<sup>−2</sup>) of the bay. Sediment accumulation in the central bay decreased during the past 90 years in response to both anthropogenic (causeway construction) and natural (tropical cyclones) perturbations. Sediment accumulation inevitably increased the residence time of organic carbon in the oxic zone, as observed in modeled remineralization rates, and reduced the overall carbon burial. Such observations highlight the critical balance among sediment accumulation, carbon remineralization, and carbon burial in dynamic coastal environments. Time-series analysis based solely on short-term observation would not capture the long-term effects of changes in sedimentation on carbon cycling. Identifying these relationships over longer timescales (multi-annual to decadal) will provide a far better evaluation of coastal ocean carbon budgets.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuaries and Coasts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s12237-013-9731-z","usgsCitation":"Smith, C.G., and Osterman, L.E., 2014, An evaluation of temporal changes in sediment accumulation and impacts on carbon burial in Mobile Bay, Alabama, USA: Estuaries and Coasts, v. 37, no. 5, p. 1092-1106, https://doi.org/10.1007/s12237-013-9731-z.","productDescription":"15 p.","startPage":"1092","endPage":"1106","numberOfPages":"15","ipdsId":"IP-045967","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":282102,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282101,"rank":1,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12237-013-9731-z"}],"country":"United States","state":"Alabama","otherGeospatial":"Mobile Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.25,30.25 ], [ -88.25,30.833333 ], [ -87.583333,30.833333 ], [ -87.583333,30.25 ], [ -88.25,30.25 ] ] ] } } ] }","volume":"37","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-12-04","publicationStatus":"PW","scienceBaseUri":"53cd4c87e4b0b290850f107a","contributors":{"authors":[{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":490008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osterman, Lisa E. osterman@usgs.gov","contributorId":3058,"corporation":false,"usgs":true,"family":"Osterman","given":"Lisa","email":"osterman@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":490007,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70073499,"text":"70073499 - 2014 - Geochronology and paleoenvironment of pluvial Harper Lake, Mojave Desert, California, USA","interactions":[],"lastModifiedDate":"2014-03-28T09:44:27","indexId":"70073499","displayToPublicDate":"2013-12-01T09:51:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Geochronology and paleoenvironment of pluvial Harper Lake, Mojave Desert, California, USA","docAbstract":"Accurate reconstruction of the paleo-Mojave River and pluvial lake (Harper, Manix, Cronese, and Mojave) system of southern California is critical to understanding paleoclimate and the North American polar jet stream position over the last 500 ka. Previous studies inferred a polar jet stream south of 35°N at 18 ka and at ~ 40°N at 17–14 ka. Highstand sediments of Harper Lake, the upstream-most pluvial lake along the Mojave River, have yielded uncalibrated radiocarbon ages ranging from 24,000 to > 30,000 <sup>14</sup>C yr BP. Based on geologic mapping, radiocarbon and optically stimulated luminescence dating, we infer a ~ 45–40 ka age for the Harper Lake highstand sediments. Combining the Harper Lake highstand with other Great Basin pluvial lake/spring and marine climate records, we infer that the North American polar jet stream was south of 35°N about 45–40 ka, but shifted to 40°N by ~ 35 ka. Ostracodes (<i>Limnocythere ceriotuberosa</i>) from Harper Lake highstand sediments are consistent with an alkaline lake environment that received seasonal inflow from the Mojave River, thus confirming the lake was fed by the Mojave River. The ~ 45–40 ka highstand at Harper Lake coincides with a shallowing interval at downstream Lake Manix.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.yqres.2013.10.008","usgsCitation":"Garcia, A.L., Knott, J.R., Mahan, S., and Bright, J., 2014, Geochronology and paleoenvironment of pluvial Harper Lake, Mojave Desert, California, USA: Quaternary Research, v. 81, no. 2, p. 305-317, https://doi.org/10.1016/j.yqres.2013.10.008.","productDescription":"13 p.","startPage":"305","endPage":"317","numberOfPages":"13","ipdsId":"IP-034989","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":281275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281243,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.yqres.2013.10.008"}],"country":"United States","state":"California","otherGeospatial":"Harper Lake;Mojave Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.9679,34.7902 ], [ -117.9679,35.3657 ], [ -117.038,35.3657 ], [ -117.038,34.7902 ], [ -117.9679,34.7902 ] ] ] } } ] }","volume":"81","issue":"2","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"5355943be4b0120853e8bf9a","contributors":{"authors":[{"text":"Garcia, Anna L.","contributorId":28163,"corporation":false,"usgs":true,"family":"Garcia","given":"Anna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":488822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knott, Jeffrey R.","contributorId":81408,"corporation":false,"usgs":true,"family":"Knott","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":488823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahan, Shannon 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":1215,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":488821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bright, Jordan","contributorId":106799,"corporation":false,"usgs":true,"family":"Bright","given":"Jordan","affiliations":[],"preferred":false,"id":488824,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70059149,"text":"70059149 - 2014 - Improving groundwater predictions utilizing seasonal precipitation forecasts from general circulation models forced with sea surface temperature forecasts","interactions":[],"lastModifiedDate":"2013-12-19T09:49:32","indexId":"70059149","displayToPublicDate":"2013-12-01T09:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Improving groundwater predictions utilizing seasonal precipitation forecasts from general circulation models forced with sea surface temperature forecasts","docAbstract":"Recent studies have found a significant association between climatic variability and basin hydroclimatology, particularly groundwater levels, over the southeast United States. The research reported in this paper evaluates the potential in developing 6-month-ahead groundwater-level forecasts based on the precipitation forecasts from ECHAM 4.5 General Circulation Model Forced with Sea Surface Temperature forecasts. Ten groundwater wells and nine streamgauges from the USGS Groundwater Climate Response Network and Hydro-Climatic Data Network were selected to represent groundwater and surface water flows, respectively, having minimal anthropogenic influences within the Flint River Basin in Georgia, United States. The writers employ two low-dimensional models [principle component regression (PCR) and canonical correlation analysis (CCA)] for predicting groundwater and streamflow at both seasonal and monthly timescales. Three modeling schemes are considered at the beginning of January to predict winter (January, February, and March) and spring (April, May, and June) streamflow and groundwater for the selected sites within the Flint River Basin. The first scheme (model 1) is a null model and is developed using PCR for every streamflow and groundwater site using previous 3-month observations (October, November, and December) available at that particular site as predictors. Modeling schemes 2 and 3 are developed using PCR and CCA, respectively, to evaluate the role of precipitation forecasts in improving monthly and seasonal groundwater predictions. Modeling scheme 3, which employs a CCA approach, is developed for each site by considering observed groundwater levels from nearby sites as predictands. The performance of these three schemes is evaluated using two metrics (correlation coefficient and relative RMS error) by developing groundwater-level forecasts based on leave-five-out cross-validation. Results from the research reported in this paper show that using precipitation forecasts in climate models improves the ability to predict the interannual variability of winter and spring streamflow and groundwater levels over the basin. However, significant conditional bias exists in all the three modeling schemes, which indicates the need to consider improved modeling schemes as well as the availability of longer time-series of observed hydroclimatic information over the basin.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrologic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)HE.1943-5584.0000776","usgsCitation":"Almanaseer, N., Sankarasubramanian, A., and Bales, J., 2014, Improving groundwater predictions utilizing seasonal precipitation forecasts from general circulation models forced with sea surface temperature forecasts: Journal of Hydrologic Engineering, v. 19, no. 1, p. 87-98, https://doi.org/10.1061/(ASCE)HE.1943-5584.0000776.","productDescription":"12 p.","startPage":"87","endPage":"98","numberOfPages":"12","ipdsId":"IP-042885","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":280427,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280411,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0000776"}],"country":"United States","state":"Georgia","otherGeospatial":"Flint River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.0,31.0 ], [ -85.0,33.5 ], [ -83.5,33.5 ], [ -83.5,31.0 ], [ -85.0,31.0 ] ] ] } } ] }","volume":"19","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6230e4b0b290850fe033","contributors":{"authors":[{"text":"Almanaseer, Naser","contributorId":13732,"corporation":false,"usgs":true,"family":"Almanaseer","given":"Naser","email":"","affiliations":[],"preferred":false,"id":487497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sankarasubramanian, A.","contributorId":23062,"corporation":false,"usgs":true,"family":"Sankarasubramanian","given":"A.","affiliations":[],"preferred":false,"id":487498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bales, Jerad","contributorId":47390,"corporation":false,"usgs":true,"family":"Bales","given":"Jerad","affiliations":[],"preferred":false,"id":487499,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70073409,"text":"70073409 - 2014 - HiRISE observations of new impact craters exposing Martian ground ice","interactions":[],"lastModifiedDate":"2018-11-02T10:56:31","indexId":"70073409","displayToPublicDate":"2013-12-01T09:33:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"HiRISE observations of new impact craters exposing Martian ground ice","docAbstract":"Twenty small new impact craters or clusters have been observed to excavate bright material inferred to be ice at mid and high latitudes on Mars. In the northern hemisphere, the craters are widely distributed geographically and occur at latitudes as low as 39°N. Stability modeling suggests that this ice distribution requires a long-term average atmospheric water vapor content around 25 precipitable microns, more than double the present value, which is consistent with the expected effect of recent orbital variations. Alternatively, near-surface humidity could be higher than expected for current column abundances if water vapor is not well-mixed with atmospheric CO<sub>2</sub>, or the vapor pressure at the ice table could be lower due to salts. Ice in and around the craters remains visibly bright for months to years, indicating that it is clean ice rather than ice-cemented regolith. Although some clean ice may be produced by the impact process, it is likely that the original ground ice was excess ice (exceeding dry soil pore space) in many cases. Observations of the craters suggest small-scale heterogeneities in this excess ice. The origin of such ice is uncertain. Ice lens formation by migration of thin films of liquid is most consistent with local heterogeneity in ice content and common surface boulders, but in some cases nearby thermokarst landforms suggest large amounts of excess ice that may be best explained by a degraded ice sheet.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research E: Planets","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/2013JE004482","usgsCitation":"Dundas, C.M., Byrne, S., McEwen, A.S., Mellon, M.T., Kennedy, M.R., Daubar, I., and Saper, L., 2014, HiRISE observations of new impact craters exposing Martian ground ice: Journal of Geophysical Research E: Planets, v. 119, no. 1, p. 109-127, https://doi.org/10.1002/2013JE004482.","productDescription":"19 p.","startPage":"109","endPage":"127","numberOfPages":"19","ipdsId":"IP-049885","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":281220,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013JE004482"},{"id":281230,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"119","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-27","publicationStatus":"PW","scienceBaseUri":"53cd6076e4b0b290850fcf0f","contributors":{"authors":[{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":488709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrne, Shane","contributorId":53513,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":488714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":488715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mellon, Michael T.","contributorId":8603,"corporation":false,"usgs":false,"family":"Mellon","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7037,"text":"Southwest Research Institute, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":488710,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kennedy, Megan R.","contributorId":19474,"corporation":false,"usgs":true,"family":"Kennedy","given":"Megan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":488711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Daubar, Ingrid J.","contributorId":34431,"corporation":false,"usgs":true,"family":"Daubar","given":"Ingrid J.","affiliations":[],"preferred":false,"id":488713,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Saper, Lee","contributorId":32085,"corporation":false,"usgs":true,"family":"Saper","given":"Lee","email":"","affiliations":[],"preferred":false,"id":488712,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70111687,"text":"70111687 - 2014 - Virtual Beach 3: user's guide","interactions":[],"lastModifiedDate":"2014-07-08T08:27:34","indexId":"70111687","displayToPublicDate":"2013-12-01T08:52:19","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"EPA/600/R-13/311","title":"Virtual Beach 3: user's guide","docAbstract":"<p>Virtual Beach version 3 (VB<sub>3</sub>) is a decision support tool that constructs site-specific statistical models to predict fecal indicator bacteria (FIB) concentrations at recreational beaches.  VB<sub>3</sub> is primarily designed for beach managers responsible for making decisions regarding beach closures or the issuance of swimming advisories due to pathogen contamination.  However, researchers, scientists, engineers, and students interested in studying relationships between water quality indicators and ambient environmental conditions will find VB<sub>3</sub> useful.  VB<sub>3</sub> reads input data from a text file or Excel document, assists the user in preparing the data for analysis, enables automated model selection using a wide array of possible model evaluation criteria, and provides predictions using a chosen model parameterized with new data.  With an integrated mapping component to determine the geographic orientation of the beach, the software can automatically decompose wind/current/wave speed and magnitude information into along-shore and onshore/offshore components for use in subsequent analyses.  Data can be examined using simple scatter plots to evaluate relationships between the response and independent variables (IVs).  VB<sub>3</sub> can produce interaction terms between the primary IVs, and it can also test an array of transformations to maximize the linearity of the relationship The software includes search routines for finding the \"best\" models from an array of possible choices.  Automated censoring of statistical models with highly correlated IVs occurs during the selection process.  Models can be constructed either using previously collected data or forecasted environmental information.  VB<sub>3</sub> has residual diagnostics for regression models, including automated outlier identification and removal using DFFITs or Cook's Distances.</p>","language":"English","publisher":"US EPA Office of Research and Development Ecosystems Research Division","publisherLocation":"Athens, GA","usgsCitation":"Cyterski, M., Brooks, W., Galvin, M., Wolfe, K., Carvin, R., Roddick, T., Fienen, M., and Corsi, S., 2014, Virtual Beach 3: user's guide, 86 p.","productDescription":"86 p.","numberOfPages":"88","ipdsId":"IP-053145","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":289444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289501,"type":{"id":15,"text":"Index Page"},"url":"https://www2.epa.gov/exposure-assessment-models/virtual-beach-v-30-user-guide"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bbc188e4b084059e8bff0c","contributors":{"authors":[{"text":"Cyterski, Mike","contributorId":64161,"corporation":false,"usgs":true,"family":"Cyterski","given":"Mike","affiliations":[],"preferred":false,"id":494434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brooks, Wesley","contributorId":29738,"corporation":false,"usgs":true,"family":"Brooks","given":"Wesley","affiliations":[],"preferred":false,"id":494431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galvin, Mike","contributorId":26972,"corporation":false,"usgs":true,"family":"Galvin","given":"Mike","email":"","affiliations":[],"preferred":false,"id":494430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolfe, Kurt","contributorId":50825,"corporation":false,"usgs":true,"family":"Wolfe","given":"Kurt","email":"","affiliations":[],"preferred":false,"id":494433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carvin, Rebecca","contributorId":97820,"corporation":false,"usgs":true,"family":"Carvin","given":"Rebecca","affiliations":[],"preferred":false,"id":494437,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roddick, Tonia","contributorId":40129,"corporation":false,"usgs":true,"family":"Roddick","given":"Tonia","email":"","affiliations":[],"preferred":false,"id":494432,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fienen, Mike 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":85507,"corporation":false,"usgs":true,"family":"Fienen","given":"Mike","email":"","affiliations":[],"preferred":false,"id":494436,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Corsi, Steve","contributorId":68652,"corporation":false,"usgs":true,"family":"Corsi","given":"Steve","email":"","affiliations":[],"preferred":false,"id":494435,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70132431,"text":"70132431 - 2014 - Actual evapotranspiration (water use) assessment of the Colorado River Basin at the Landsat resolution using the operational simplified surface energy balance model","interactions":[],"lastModifiedDate":"2017-01-18T11:37:09","indexId":"70132431","displayToPublicDate":"2013-12-01T00:00:00","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":"Actual evapotranspiration (water use) assessment of the Colorado River Basin at the Landsat resolution using the operational simplified surface energy balance model","docAbstract":"<p>Accurately estimating consumptive water use in the Colorado River Basin (CRB) is important for assessing and managing limited water resources in the basin. Increasing water demand from various sectors may threaten long-term sustainability of the water supply in the arid southwestern United States. We have developed a first-ever basin-wide actual evapotranspiration (ET<sub>a</sub>) map of the CRB at the Landsat scale for water use assessment at the field level. We used the operational Simplified Surface Energy Balance (SSEBop) model for estimating ET<sub>a</sub> using 328 cloud-free Landsat images acquired during 2010. Our results show that cropland had the highest ET<sub>a</sub> among all land cover classes except for water. Validation using eddy covariance measured ET<sub>a</sub> showed that the SSEBop model nicely captured the variability in annual ET<sub>a</sub> with an overall R<sup>2</sup> of 0.78 and a mean bias error of about 10%. Comparison with water balance-based ETa showed good agreement (R<sup>2 </sup>= 0.85) at the sub-basin level. Though there was good correlation (R<sup>2</sup> = 0.79) between Moderate Resolution Imaging Spectroradiometer (MODIS)-based ETa (1 km spatial resolution) and Landsat-based ET<sub>a</sub> (30 m spatial resolution), the spatial distribution of MODIS-based ET<sub>a</sub> was not suitable for water use assessment at the field level. In contrast, Landsat-based ET<sub>a</sub> has good potential to be used at the field level for water management. With further validation using multiple years and sites, our methodology can be applied for regular production of ET<sub>a</sub> maps of larger areas such as the conterminous United States.</p>","language":"English","publisher":"MDPI","doi":"10.3390/rs6010233","usgsCitation":"Singh, R.K., Senay, G.B., Velpuri, N.M., Bohms, S., Russell L, S., and Verdin, J.P., 2014, Actual evapotranspiration (water use) assessment of the Colorado River Basin at the Landsat resolution using the operational simplified surface energy balance model: Remote Sensing, v. 6, no. 1, p. 233-256, https://doi.org/10.3390/rs6010233.","productDescription":"24 p.","startPage":"233","endPage":"256","numberOfPages":"24","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049231","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":473330,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index 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rsingh@usgs.gov","orcid":"https://orcid.org/0000-0002-8164-3483","contributorId":3895,"corporation":false,"usgs":true,"family":"Singh","given":"Ramesh","email":"rsingh@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":522830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":522831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926 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Scott","contributorId":127004,"corporation":false,"usgs":false,"family":"Russell L","given":"Scott","email":"","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":522834,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":522835,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048309,"text":"70048309 - 2014 - Mycotoxins: diffuse and point source contributions of natural contaminants of emerging concern to streams","interactions":[],"lastModifiedDate":"2018-09-14T16:04:03","indexId":"70048309","displayToPublicDate":"2013-11-27T10:41:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Mycotoxins: diffuse and point source contributions of natural contaminants of emerging concern to streams","docAbstract":"To determine the prevalence of mycotoxins in streams, 116 water samples from 32 streams and three wastewater treatment plant effluents were collected in 2010 providing the broadest investigation on the spatial and temporal occurrence of mycotoxins in streams conducted in the United States to date. Out of the 33 target mycotoxins measured, nine were detected at least once during this study. The detections of mycotoxins were nearly ubiquitous during this study even though the basin size spanned four orders of magnitude. At least one mycotoxin was detected in 94% of the 116 samples collected. Deoxynivalenol was the most frequently detected mycotoxin (77%), followed by nivalenol (59%), beauvericin (43%), zearalenone (26%), β-zearalenol (20%), 3-acetyl-deoxynivalenol (16%), α-zearalenol (10%), diacetoxyscirpenol (5%), and verrucarin A (1%). In addition, one or more of the three known estrogenic compounds (i.e. zearalenone, α-zearalenol, and β-zearalenol) were detected in 43% of the samples, with maximum concentrations substantially higher than observed in previous research. While concentrations were generally low (i.e. < 50 ng/L) during this study, concentrations exceeding 1000 ng/L were measured during spring snowmelt conditions in agricultural settings and in wastewater treatment plant effluent. Results of this study suggest that both diffuse (e.g. release from infected plants and manure applications from exposed livestock) and point (e.g. wastewater treatment plants and food processing plants) sources are important environmental pathways for mycotoxin transport to streams. The ecotoxicological impacts from the long-term, low-level exposures to mycotoxins alone or in combination with complex chemical mixtures are unknown","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.09.062","usgsCitation":"Kolpin, D.W., Schenzel, J., Meyer, M.T., Phillips, P., Hubbard, L.E., Scott, T., and Bucheli, T.D., 2014, Mycotoxins: diffuse and point source contributions of natural contaminants of emerging concern to streams: Science of the Total Environment, v. 470-471, p. 669-676, https://doi.org/10.1016/j.scitotenv.2013.09.062.","productDescription":"8 p.","startPage":"669","endPage":"676","ipdsId":"IP-049901","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":279858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279857,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.09.062"}],"volume":"470-471","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"529716d6e4b08e44bf66fb83","contributors":{"authors":[{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schenzel, Judith","contributorId":36842,"corporation":false,"usgs":true,"family":"Schenzel","given":"Judith","email":"","affiliations":[],"preferred":false,"id":484289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":484285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Patrick J. pjphilli@usgs.gov","contributorId":856,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick J.","email":"pjphilli@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":484284,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hubbard, Laura E. 0000-0003-3813-1500 lhubbard@usgs.gov","orcid":"https://orcid.org/0000-0003-3813-1500","contributorId":4221,"corporation":false,"usgs":true,"family":"Hubbard","given":"Laura","email":"lhubbard@usgs.gov","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484287,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scott, Tia-Marie 0000-0002-5677-0544 tia-mariescott@usgs.gov","orcid":"https://orcid.org/0000-0002-5677-0544","contributorId":5122,"corporation":false,"usgs":true,"family":"Scott","given":"Tia-Marie","email":"tia-mariescott@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484288,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bucheli, Thomas D.","contributorId":71455,"corporation":false,"usgs":true,"family":"Bucheli","given":"Thomas","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":484290,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70057596,"text":"70057596 - 2014 - Effects of a non-native cichlid fish (African jewelfish, <i>Hemichromis letourneuxi</i> Sauvage 1880) on a simulated Everglades aquatic community","interactions":[],"lastModifiedDate":"2013-11-26T11:23:40","indexId":"70057596","displayToPublicDate":"2013-11-26T11:20:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Effects of a non-native cichlid fish (African jewelfish, <i>Hemichromis letourneuxi</i> Sauvage 1880) on a simulated Everglades aquatic community","docAbstract":"In an 8-month mesocosm experiment, we examined how a simulated Everglades aquatic community of small native fishes, snails, and shrimp changed with the addition of either a native predator (dollar sunfish Lepomis marginatus) or a non-native predator (African jewelfish Hemichromis letourneuxi) compared to a no-predator control. Two snail species (Planorbella duryi, Physella cubensis) and the shrimp (Palaemonetes paludosus) displayed the strongest predator-treatment effects, with significantly lower biomasses in tanks with Hemichromis. One small native fish (Heterandria formosa) was significantly less abundant in Hemichromis tanks, but there were no significant treatment effects for Gambusia holbrooki, Jordanella floridae, or Pomacea paludosa (applesnail). Overall, there were few treatment differences between native predator and no-predator control tanks. The results suggest that the potential of Hemichromis to affect basal food-web species that link primary producers with higher-level consumers in the aquatic food web, with unknown consequences for Florida waters.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10750-013-1697-0","usgsCitation":"Schofield, P., Slone, D., Gregoire, D.R., and Loftus, W., 2014, Effects of a non-native cichlid fish (African jewelfish, <i>Hemichromis letourneuxi</i> Sauvage 1880) on a simulated Everglades aquatic community: Hydrobiologia, v. 722, no. 1, p. 171-182, https://doi.org/10.1007/s10750-013-1697-0.","productDescription":"12 p.","startPage":"171","endPage":"182","numberOfPages":"12","ipdsId":"IP-044466","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":279796,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279795,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-013-1697-0"}],"volume":"722","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-10-19","publicationStatus":"PW","scienceBaseUri":"5295c2fbe4b0becc369c7cc3","contributors":{"authors":[{"text":"Schofield, Pamela J. 0000-0002-8752-2797","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":30306,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":486830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slone, Daniel H. 0000-0002-9903-9727 dslone@usgs.gov","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":1749,"corporation":false,"usgs":true,"family":"Slone","given":"Daniel H.","email":"dslone@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":486829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gregoire, Denise R.","contributorId":107028,"corporation":false,"usgs":true,"family":"Gregoire","given":"Denise","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":486832,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loftus, William F.","contributorId":48628,"corporation":false,"usgs":true,"family":"Loftus","given":"William F.","affiliations":[],"preferred":false,"id":486831,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048354,"text":"70048354 - 2014 - The attenuation of Fourier amplitudes for rock sites in eastern North America","interactions":[],"lastModifiedDate":"2014-02-24T11:02:43","indexId":"70048354","displayToPublicDate":"2013-11-26T09:35:00","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":"The attenuation of Fourier amplitudes for rock sites in eastern North America","docAbstract":"We develop an empirical model of the decay of Fourier amplitudes for earthquakes of M 3–6 recorded on rock sites in eastern North America and discuss its implications for source parameters. Attenuation at distances from 10 to 500 km may be adequately described using a bilinear model with a geometric spreading of 1/R<sup>1.3</sup> to a transition distance of 50 km, with a geometric spreading of 1/R<sup>0.5</sup> at greater distances. For low frequencies and distances less than 50 km, the effective geometric spreading given by the model is perturbed using a frequency‐ and hypocentral depth‐dependent factor defined in such a way as to increase amplitudes at lower frequencies near the epicenter but leave the 1 km source amplitudes unchanged. The associated anelastic attenuation is determined for each event, with an average value being given by a regional quality factor of Q=525f<sup> 0.45</sup>. This model provides a match, on average, between the known seismic moment of events and the inferred low‐frequency spectral amplitudes at R=1  km (obtained by correcting for the attenuation model). The inferred Brune stress parameters from the high‐frequency source terms are about 600 bars (60 MPa), on average, for events of M>4.5.","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":"10.1785/0120130136","usgsCitation":"Atkinson, G.M., and Boore, D.M., 2014, The attenuation of Fourier amplitudes for rock sites in eastern North America: Bulletin of the Seismological Society of America, v. 104, no. 1, p. 513-528, https://doi.org/10.1785/0120130136.","productDescription":"16 p.","startPage":"513","endPage":"528","numberOfPages":"16","ipdsId":"IP-046179","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":280963,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280961,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120130136"},{"id":280964,"type":{"id":15,"text":"Index Page"},"url":"https://www.bssaonline.org/content/early/2013/11/25/0120130136"}],"country":"Canada;United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.0,34.0 ], [ -90.0,54.0 ], [ -55.0,54.0 ], [ -55.0,34.0 ], [ -90.0,34.0 ] ] ] } } ] }","volume":"104","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-11-26","publicationStatus":"PW","scienceBaseUri":"53cd776be4b0b2908510b889","contributors":{"authors":[{"text":"Atkinson, Gail M.","contributorId":60515,"corporation":false,"usgs":false,"family":"Atkinson","given":"Gail","email":"","middleInitial":"M.","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":484394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":484393,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70056680,"text":"70056680 - 2014 - Potential for parasite-induced biases in aquatic invertebrate population studies","interactions":[],"lastModifiedDate":"2017-10-20T11:43:01","indexId":"70056680","displayToPublicDate":"2013-11-21T10:13:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Potential for parasite-induced biases in aquatic invertebrate population studies","docAbstract":"Recent studies highlight the need to include estimates of detection/capture probability in population studies. This need is particularly important in studies where detection and/or capture probability is influenced by parasite-induced behavioral alterations. We assessed potential biases associated with sampling a population of the amphipod Gammarus lacustris in the presence of Polymorphus spp. acanthocephalan parasites shown to increase positive phototaxis in their amphipod hosts. We trapped G. lacustris at two water depths (benthic and surface) and compared number of captures and number of parasitized individuals at each depth. While we captured the greatest number of G. lacustris individuals in benthic traps, parasitized individuals were captured most often in surface traps. These results reflect the phototaxic movement of infected individuals from benthic locations to sunlit surface waters. We then explored the influence of varying infection rates on a simulated population held at a constant level of abundance. Simulations resulted in increasingly biased abundance estimates as infection rates increased. Our results highlight the need to consider parasite-induced biases when quantifying detection and/or capture probability in studies of aquatic invertebrate populations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10750-013-1700-9","usgsCitation":"Fisher, J.D., Mushet, D.M., and Stockwell, C., 2014, Potential for parasite-induced biases in aquatic invertebrate population studies: Hydrobiologia, v. 722, no. 1, p. 199-204, https://doi.org/10.1007/s10750-013-1700-9.","productDescription":"6 p.","startPage":"199","endPage":"204","ipdsId":"IP-041710","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":279315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279301,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-013-1700-9"}],"country":"United States","state":"North Dakota","county":"Stutsman County","otherGeospatial":"Cottonwood Lakes Study Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.48275,46.629387 ], [ -99.48275,47.327213 ], [ -98.439552,47.327213 ], [ -98.439552,46.629387 ], [ -99.48275,46.629387 ] ] ] } } ] }","volume":"722","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-10-10","publicationStatus":"PW","scienceBaseUri":"528f53cce4b0660d392bed7e","contributors":{"authors":[{"text":"Fisher, Justin D.L.","contributorId":32817,"corporation":false,"usgs":true,"family":"Fisher","given":"Justin","email":"","middleInitial":"D.L.","affiliations":[],"preferred":false,"id":486610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":486609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockwell, Craig A.","contributorId":55257,"corporation":false,"usgs":true,"family":"Stockwell","given":"Craig A.","affiliations":[],"preferred":false,"id":486611,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045503,"text":"70045503 - 2014 - Variation in the response of an Arctic top predator experiencing habitat loss: Feeding and reproductive ecology of two polar bear populations","interactions":[],"lastModifiedDate":"2018-05-10T12:17:09","indexId":"70045503","displayToPublicDate":"2013-11-17T12:01:02","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Variation in the response of an Arctic top predator experiencing habitat loss: Feeding and reproductive ecology of two polar bear populations","docAbstract":"Polar bears (<i>Ursus maritimus</i>) have experienced substantial changes in the seasonal availability of sea ice habitat in parts of their range, including the Beaufort, Chukchi, and Bering Seas. In this study, we compared the body size, condition, and recruitment of polar bears captured in the Chukchi and Bering Seas (CS) between two periods (1986–1994 and 2008–2011) when declines in sea ice habitat occurred. In addition, we compared metrics for the CS population 2008–2011 with those of the adjacent southern Beaufort Sea (SB) population where loss in sea ice habitat has been associated with declines in body condition, size, recruitment, and survival. We evaluated how variation in body condition and recruitment were related to feeding ecology. Comparing habitat conditions between populations, there were twice as many reduced ice days over continental shelf waters per year during 2008–2011 in the SB than in the CS. CS polar bears were larger and in better condition, and appeared to have higher reproduction than SB bears. Although SB and CS bears had similar diets, twice as many bears were fasting in spring in the SB than in the CS. Between 1986–1994 and 2008–2011, body size, condition, and recruitment indices in the CS were not reduced despite a 44-day increase in the number of reduced ice days. Bears in the CS exhibited large body size, good body condition, and high indices of recruitment compared to most other populations measured to date. Higher biological productivity and prey availability in the CS relative to the SB, and a shorter recent history of reduced sea ice habitat, may explain the maintenance of condition and recruitment of CS bears. Geographic differences in the response of polar bears to climate change are relevant to range-wide forecasts for this and other ice-dependent species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Blackwell Science","publisherLocation":"Oxford, England","doi":"10.1111/gcb.12339","usgsCitation":"Rode, K.D., Regehr, E.V., Douglas, D.C., Durner, G.M., Derocher, A.E., Thiemann, G.W., and Budge, S.M., 2014, Variation in the response of an Arctic top predator experiencing habitat loss: Feeding and reproductive ecology of two polar bear populations: Global Change Biology, v. 20, no. 1, p. 76-88, https://doi.org/10.1111/gcb.12339.","productDescription":"13 p.","startPage":"76","endPage":"88","ipdsId":"IP-042665","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":473331,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.12339","text":"Publisher Index Page"},{"id":281092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281088,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gcb.12339"}],"country":"Canada; Russia; United States","otherGeospatial":"Beaufort Sea; Bering Sea; Chukchi Sea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 130.69,56.41 ], [ 130.69,78.03 ], [ -109.95,78.03 ], [ -109.95,56.41 ], [ 130.69,56.41 ] ] ] } } ] }","volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-11-17","publicationStatus":"PW","scienceBaseUri":"53cd7af8e4b0b2908510dd27","contributors":{"authors":[{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":477649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":477650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":477648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":477654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Derocher, Andrew E.","contributorId":96189,"corporation":false,"usgs":false,"family":"Derocher","given":"Andrew","email":"","middleInitial":"E.","affiliations":[{"id":12980,"text":"Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada","active":true,"usgs":false}],"preferred":false,"id":477653,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thiemann, Gregory W.","contributorId":83023,"corporation":false,"usgs":false,"family":"Thiemann","given":"Gregory","email":"","middleInitial":"W.","affiliations":[{"id":27291,"text":"York University, Toronto, ON","active":true,"usgs":false}],"preferred":false,"id":477651,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Budge, Suzanne M.","contributorId":92168,"corporation":false,"usgs":false,"family":"Budge","given":"Suzanne","email":"","middleInitial":"M.","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":477652,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70046429,"text":"70046429 - 2014 - The transboundary non-renewable Nubian Aquifer System of Chad, Egypt, Libya and Sudan: Classical groundwater questions and parsimonious hydrogeologic analysis and modeling","interactions":[],"lastModifiedDate":"2021-10-29T10:24:21.80995","indexId":"70046429","displayToPublicDate":"2013-11-15T15:16:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"The transboundary non-renewable Nubian Aquifer System of Chad, Egypt, Libya and Sudan: Classical groundwater questions and parsimonious hydrogeologic analysis and modeling","docAbstract":"Parsimonious groundwater modeling provides insight into hydrogeologic functioning of the Nubian Aquifer System (NAS), the world’s largest non-renewable groundwater system (belonging to Chad, Egypt, Libya, and Sudan). Classical groundwater-resource issues exist (magnitude and lateral extent of drawdown near pumping centers) with joint international management questions regarding transboundary drawdown. Much of NAS is thick, containing a large volume of high-quality groundwater, but receives insignificant recharge, so water-resource availability is time-limited. Informative aquifer data are lacking regarding large-scale response, providing only local-scale information near pumps. Proxy data provide primary underpinning for understanding regional response: Holocene water-table decline from the previous pluvial period, after thousands of years, results in current oasis/sabkha locations where the water table still intersects the ground. Depletion is found to be controlled by two regional parameters, hydraulic diffusivity and vertical anisotropy of permeability. Secondary data that provide insight are drawdowns near pumps and isotope-groundwater ages (million-year-old groundwaters in Egypt). The resultant strong simply structured three-dimensional model representation captures the essence of NAS regional groundwater-flow behavior. Model forecasts inform resource management that transboundary drawdown will likely be minimal—a nonissue—whereas drawdown within pumping centers may become excessive, requiring alternative extraction schemes; correspondingly, significant water-table drawdown may occur in pumping centers co-located with oases, causing oasis loss and environmental impacts.","language":"English","publisher":"Springer","doi":"10.1007/s10040-013-1039-3","usgsCitation":"Voss, C.I., and Soliman, S.M., 2014, The transboundary non-renewable Nubian Aquifer System of Chad, Egypt, Libya and Sudan: Classical groundwater questions and parsimonious hydrogeologic analysis and modeling: Hydrogeology Journal, v. 22, no. 2, p. 441-468, https://doi.org/10.1007/s10040-013-1039-3.","productDescription":"28 p.","startPage":"441","endPage":"468","ipdsId":"IP-046054","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":281011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chad, Egypt, Libya, Sudan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 9.39,7.44 ], [ 9.39,33.29 ], [ 38.7,33.29 ], [ 38.7,7.44 ], [ 9.39,7.44 ] ] ] } } ] }","volume":"22","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-11-06","publicationStatus":"PW","scienceBaseUri":"53cd78b6e4b0b2908510c543","contributors":{"authors":[{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":479646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soliman, Safaa M.","contributorId":52078,"corporation":false,"usgs":true,"family":"Soliman","given":"Safaa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":479647,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70103148,"text":"70103148 - 2014 - Changing ecosystem dynamics in the Laurentian Great Lakes: Bottom-up and top-down regulation","interactions":[],"lastModifiedDate":"2021-02-04T18:30:02.186229","indexId":"70103148","displayToPublicDate":"2013-11-12T12:20:41","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Changing ecosystem dynamics in the Laurentian Great Lakes: Bottom-up and top-down regulation","docAbstract":"<p><span>Understanding the relative importance of top-down and bottom-up regulation of ecosystem structure is a fundamental ecological question, with implications for fisheries and water-quality management. For the Laurentian Great Lakes, where, since the early 1970s, nutrient inputs have been reduced, whereas top-predator biomass has increased, we describe trends across multiple trophic levels and explore their underlying drivers. Our analyses revealed increasing water clarity and declines in phytoplankton, native invertebrates, and prey fish since 1998 in at least three of the five lakes. Evidence for bottom-up regulation was strongest in Lake Huron, although each lake provided support in at least one pair of trophic levels. Evidence for top-down regulation was rare. Although nonindigenous dreissenid mussels probably have large impacts on nutrient cycling and phytoplankton, their effects on higher trophic levels remain uncertain. We highlight gaps for which monitoring and knowledge should improve the understanding of food-web dynamics and facilitate the implementation of ecosystem-based management.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/bit001","usgsCitation":"Bunnell, D., Barbiero, R.P., Ludsin, S.A., Madenjian, C.P., Warren, G.J., Dolan, D.M., Brenden, T.O., Briland, R., Gorman, O.T., Hi, J.X., Johengen, T.F., Lantry, B.F., Lesht, B.M., Nalepa, T., Riley, S.C., Riseng, C.M., Treska, T.J., Tsehaye, I., Walsh, M., Warner, D.M., and Weidel, B., 2014, Changing ecosystem dynamics in the Laurentian Great Lakes: Bottom-up and top-down regulation: BioScience, v. 64, no. 1, p. 29-39, https://doi.org/10.1093/biosci/bit001.","productDescription":"11 p.","startPage":"29","endPage":"39","ipdsId":"IP-049007","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":473332,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/bit001","text":"Publisher Index Page"},{"id":383022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Illinois, Indiana, Michigan, Minnesota, new York, Ontario, Pennsylvania, Wisconsin","otherGeospatial":"Laurentian Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.8671875,\n              41.11246878918088\n            ],\n            [\n              -75.41015624999999,\n              41.11246878918088\n            ],\n            [\n              -75.41015624999999,\n              49.32512199104001\n            ],\n            [\n              -93.8671875,\n              49.32512199104001\n            ],\n            [\n              -93.8671875,\n              41.11246878918088\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"64","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-11-12","publicationStatus":"PW","scienceBaseUri":"5360bbd0e4b082a3ecf53dc2","contributors":{"authors":[{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":3139,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":518757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbiero, Richard P","contributorId":117910,"corporation":false,"usgs":true,"family":"Barbiero","given":"Richard","email":"","middleInitial":"P","affiliations":[],"preferred":false,"id":518769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ludsin, Stuart A","contributorId":120607,"corporation":false,"usgs":true,"family":"Ludsin","given":"Stuart","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":518771,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518752,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warren, Glenn J.","contributorId":79407,"corporation":false,"usgs":true,"family":"Warren","given":"Glenn","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":518767,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dolan, David M.","contributorId":7189,"corporation":false,"usgs":true,"family":"Dolan","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":518760,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brenden, Travis O.","contributorId":13876,"corporation":false,"usgs":true,"family":"Brenden","given":"Travis","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":518761,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Briland, Ruth","contributorId":65004,"corporation":false,"usgs":true,"family":"Briland","given":"Ruth","affiliations":[],"preferred":false,"id":518765,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gorman, Owen T. 0000-0003-0451-110X otgorman@usgs.gov","orcid":"https://orcid.org/0000-0003-0451-110X","contributorId":2888,"corporation":false,"usgs":true,"family":"Gorman","given":"Owen","email":"otgorman@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518755,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hi, Ji X.","contributorId":119795,"corporation":false,"usgs":true,"family":"Hi","given":"Ji","email":"","middleInitial":"X.","affiliations":[],"preferred":false,"id":518770,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Johengen, Thomas F.","contributorId":120785,"corporation":false,"usgs":true,"family":"Johengen","given":"Thomas","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":518772,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lantry, Brian F. 0000-0001-8797-3910 bflantry@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-3910","contributorId":3435,"corporation":false,"usgs":true,"family":"Lantry","given":"Brian","email":"bflantry@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518758,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lesht, Barry M.","contributorId":72711,"corporation":false,"usgs":true,"family":"Lesht","given":"Barry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":518766,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Nalepa, Thomas F.","contributorId":28212,"corporation":false,"usgs":true,"family":"Nalepa","given":"Thomas F.","affiliations":[],"preferred":false,"id":518762,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Riley, Stephen C. 0000-0002-8968-8416 sriley@usgs.gov","orcid":"https://orcid.org/0000-0002-8968-8416","contributorId":2661,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen","email":"sriley@usgs.gov","middleInitial":"C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":518754,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Riseng, Catherine M.","contributorId":30144,"corporation":false,"usgs":true,"family":"Riseng","given":"Catherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":518764,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Treska, Ted J.","contributorId":28528,"corporation":false,"usgs":true,"family":"Treska","given":"Ted","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":518763,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Tsehaye, Iyob","contributorId":106801,"corporation":false,"usgs":true,"family":"Tsehaye","given":"Iyob","email":"","affiliations":[],"preferred":false,"id":518768,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Walsh, Maureen 0000-0001-7846-5025 mwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-7846-5025","contributorId":3659,"corporation":false,"usgs":true,"family":"Walsh","given":"Maureen","email":"mwalsh@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518759,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Warner, David M. 0000-0003-4939-5368 dmwarner@usgs.gov","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":2986,"corporation":false,"usgs":true,"family":"Warner","given":"David","email":"dmwarner@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518756,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518753,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":70058709,"text":"70058709 - 2014 - Modeling effects of climate change on Yakima River salmonid habitats","interactions":[],"lastModifiedDate":"2023-07-25T12:54:00.793053","indexId":"70058709","displayToPublicDate":"2013-11-07T10:05:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Modeling effects of climate change on Yakima River salmonid habitats","docAbstract":"We evaluated the potential effects of two climate change scenarios on salmonid habitats in the Yakima River by linking the outputs from a watershed model, a river operations model, a two-dimensional (2D) hydrodynamic model, and a geographic information system (GIS). The watershed model produced a discharge time series (hydrograph) in two study reaches under three climate scenarios: a baseline (1981–2005), a 1-°C increase in mean air temperature (plus one scenario), and a 2-°C increase (plus two scenario). A river operations model modified the discharge time series with Yakima River operational rules, a 2D model provided spatially explicit depth and velocity grids for two floodplain reaches, while an expert panel provided habitat criteria for four life stages of coho and fall Chinook salmon. We generated discharge-habitat functions for each salmonid life stage (e.g., spawning, rearing) in main stem and side channels, and habitat time series for baseline, plus one (P1) and plus two (P2) scenarios. The spatial and temporal patterns in salmonid habitats differed by reach, life stage, and climate scenario. Seventy-five percent of the 28 discharge-habitat responses exhibited a decrease in habitat quantity, with the P2 scenario producing the largest changes, followed by P1. Fry and spring/summer rearing habitats were the most sensitive to warming and flow modification for both species. Side channels generally produced more habitat than main stem and were more responsive to flow changes, demonstrating the importance of lateral connectivity in the floodplain. A discharge-habitat sensitivity analysis revealed that proactive management of regulated surface waters (i.e., increasing or decreasing flows) might lessen the impacts of climate change on salmonid habitats.","language":"English","publisher":"Springer","doi":"10.1007/s10584-013-0980-4","usgsCitation":"Hatten, J.R., Batt, T.R., Connolly, P., and Maule, A.G., 2014, Modeling effects of climate change on Yakima River salmonid habitats: Climatic Change, v. 124, no. 1-2, p. 427-439, https://doi.org/10.1007/s10584-013-0980-4.","productDescription":"13 p.","startPage":"427","endPage":"439","numberOfPages":"13","ipdsId":"IP-045665","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":473333,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-013-0980-4","text":"Publisher Index Page"},{"id":280270,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280259,"rank":1,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-013-0980-4"}],"country":"United States","state":"Washington","otherGeospatial":"Yakima Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.5,45.75 ], [ -121.5,48.5 ], [ -119.25,48.5 ], [ -119.25,45.75 ], [ -121.5,45.75 ] ] ] } } ] }","volume":"124","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2013-11-07","publicationStatus":"PW","scienceBaseUri":"52aadaf0e4b078ad3e40e3aa","contributors":{"authors":[{"text":"Hatten, James R. 0000-0003-4676-8093 jhatten@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-8093","contributorId":3431,"corporation":false,"usgs":true,"family":"Hatten","given":"James","email":"jhatten@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Batt, Thomas R. tbatt@usgs.gov","contributorId":3432,"corporation":false,"usgs":true,"family":"Batt","given":"Thomas","email":"tbatt@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maule, Alec G. amaule@usgs.gov","contributorId":2606,"corporation":false,"usgs":true,"family":"Maule","given":"Alec","email":"amaule@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487283,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048757,"text":"70048757 - 2014 - Measuring and predicting abundance and dynamics of habitat for piping plovers on a large reservoir","interactions":[],"lastModifiedDate":"2017-08-31T11:00:55","indexId":"70048757","displayToPublicDate":"2013-11-01T14:51:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Measuring and predicting abundance and dynamics of habitat for piping plovers on a large reservoir","docAbstract":"Measuring habitat and understanding habitat dynamics have become increasingly important for wildlife conservation. Using remotely-sensed data, we developed procedures to measure breeding habitat abundance for the federally listed piping plover (Charadrius melodus) at Lake Sakakawea, North Dakota, USA. We also developed a model to predict habitat abundance based on past and projected water levels, vegetation colonization rates, and topography. Previous studies define plover habitat as flat areas (<10% slope) with ≤30% obstruction of bare substrate. Compared to ground-based data, remotely-sensed habitat classifications (≤30/>30% bare-substrate obstruction) were 76% correct and omission and commission errors were equal. Due to water level fluctuations, habitat abundance varied markedly among years (1986–2009) ranging from 9 to 5195 ha. The proportion bare substrate declined with the number of years since a contour was inundated until 5 years (&beta; = -0.65, SE = 0.05), then it stabilized near zero, and the decline varied by shoreline segment (5, 50, and 95 percentile were &beta; = -0.19, SE = 0.05, &beta; = -0.63, SE = 0.05, and &beta; = -0.91, SE = 0.05, respectively). Years since inundated predicted habitat abundance well at shoreline segments (R<sup>2</sup> = 0.77), but it predicted better for the whole lake (R<sup>2</sup> = 0.86). The vastness and dynamics of plover habitat on Lake Sakakawea suggest that this is a key area for conservation of this species. Model-based habitat predictions can benefit resource conservation because they can (1) form the basis for a sampling stratification, (2) help allocate monitoring efforts among areas, and (3) help inform management through simulations or what-if scenarios.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2013.08.020","usgsCitation":"Anteau, M.J., Wiltermuth, M.T., Sherfy, M.H., and Shaffer, T.L., 2014, Measuring and predicting abundance and dynamics of habitat for piping plovers on a large reservoir: Ecological Modelling, v. 272, p. 16-27, https://doi.org/10.1016/j.ecolmodel.2013.08.020.","productDescription":"12 p.","startPage":"16","endPage":"27","ipdsId":"IP-041452","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":278655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278654,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2013.08.020"}],"country":"United States","state":"North Dakota","otherGeospatial":"Lake Sakakawea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.5771,47.4491 ], [ -103.5771,48.1718 ], [ -101.2537,48.1718 ], [ -101.2537,47.4491 ], [ -103.5771,47.4491 ] ] ] } } ] }","volume":"272","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5274c67ee4b089748f07132a","contributors":{"authors":[{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":485578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiltermuth, Mark T. 0000-0002-8871-2816 mwiltermuth@usgs.gov","orcid":"https://orcid.org/0000-0002-8871-2816","contributorId":708,"corporation":false,"usgs":true,"family":"Wiltermuth","given":"Mark","email":"mwiltermuth@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":485576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":485575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaffer, Terry L. 0000-0001-6950-8951 tshaffer@usgs.gov","orcid":"https://orcid.org/0000-0001-6950-8951","contributorId":3192,"corporation":false,"usgs":true,"family":"Shaffer","given":"Terry","email":"tshaffer@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":485577,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048576,"text":"70048576 - 2014 - Effects of sea-level rise on barrier island groundwater system dynamics: ecohydrological implications","interactions":[],"lastModifiedDate":"2018-05-17T13:18:18","indexId":"70048576","displayToPublicDate":"2013-11-01T13:55:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of sea-level rise on barrier island groundwater system dynamics: ecohydrological implications","docAbstract":"We used a numerical model to investigate how a barrier island groundwater system responds to increases of up to 60 cm in sea level. We found that a sea-level rise of 20 cm leads to substantial changes in the depth of the water table and the extent and depth of saltwater intrusion, which are key determinants in the establishment, distribution and succession of vegetation assemblages and habitat suitability in barrier islands ecosystems. In our simulations, increases in water-table height in areas with a shallow depth to water (or thin vadose zone) resulted in extensive groundwater inundation of land surface and a thinning of the underlying freshwater lens. We demonstrated the interdependence of the groundwater response to island morphology by evaluating changes at three sites. This interdependence can have a profound effect on ecosystem composition in these fragile coastal landscapes under long-term changing climatic conditions.","language":"English","publisher":"Wiley","doi":"10.1002/eco.1442","usgsCitation":"Masterson, J., Fienen, M., Thieler, E.R., Gesch, D.B., Gutierrez, B.T., and Plant, N.G., 2014, Effects of sea-level rise on barrier island groundwater system dynamics: ecohydrological implications: Ecohydrology, v. 7, no. 3, p. 1064-1071, https://doi.org/10.1002/eco.1442.","productDescription":"8 p.","startPage":"1064","endPage":"1071","numberOfPages":"8","ipdsId":"IP-052149","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":473334,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/6750","text":"External Repository"},{"id":281031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281029,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/eco.1442"}],"country":"United States","state":"Maryl;Virginia","otherGeospatial":"Assateague Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.407677,37.859455 ], [ -75.407677,38.272015 ], [ -75.117615,38.272015 ], [ -75.117615,37.859455 ], [ -75.407677,37.859455 ] ] ] } } ] }","volume":"7","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-11-12","publicationStatus":"PW","scienceBaseUri":"53ae769de4b0abf75cf2bfc4","contributors":{"authors":[{"text":"Masterson, John P. 0000-0003-3202-4413 jpmaster@usgs.gov","orcid":"https://orcid.org/0000-0003-3202-4413","contributorId":1865,"corporation":false,"usgs":true,"family":"Masterson","given":"John P.","email":"jpmaster@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thieler, E. Robert 0000-0003-4311-9717 rthieler@usgs.gov","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":2488,"corporation":false,"usgs":true,"family":"Thieler","given":"E.","email":"rthieler@usgs.gov","middleInitial":"Robert","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":485118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gesch, Dean B. 0000-0002-8992-4933 gesch@usgs.gov","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":2956,"corporation":false,"usgs":true,"family":"Gesch","given":"Dean","email":"gesch@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},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":485119,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gutierrez, Benjamin T.","contributorId":58670,"corporation":false,"usgs":true,"family":"Gutierrez","given":"Benjamin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":485121,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":485120,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70045537,"text":"70045537 - 2014 - Abdominally implanted satellite transmitters affect reproduction and survival rather than migration of large shorebirds","interactions":[],"lastModifiedDate":"2018-08-21T14:23:54","indexId":"70045537","displayToPublicDate":"2013-11-01T11:27:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2409,"text":"Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Abdominally implanted satellite transmitters affect reproduction and survival rather than migration of large shorebirds","docAbstract":"Satellite telemetry has become a common technique to investigate avian life-histories, but whether such tagging will affect fitness is a critical unknown. In this study, we evaluate multi-year effects of implanted transmitters on migratory timing and reproductive performance in shorebirds. Shorebirds increasingly are recognized as good models in ecology and evolution. That many of them are of conservation concern adds to the research responsibilities. In May 2009, we captured 56 female Black-tailed Godwits <i>Limosa limosa limosa</i> during late incubation in The Netherlands. Of these, 15 birds were equipped with 26-g satellite transmitters with a percutaneous antenna (7.8 % ± 0.2 SD of body mass), surgically implanted in the coelom. We compared immediate nest survival, timing of migration, subsequent nest site fidelity and reproductive behaviour including egg laying with those of the remaining birds, a comparison group of 41 females. We found no effects on immediate nest survival. Fledging success and subsequent southward and northward migration patterns of the implanted birds conformed to the expectations, and arrival time on the breeding grounds in 2010–2012 did not differ from the comparison group. Compared with the comparison group, in the year after implantation, implanted birds were equally faithful to the nest site and showed equal territorial behaviour, but a paucity of behaviours indicating nests or clutches. In the 3 years after implantation, the yearly apparent survival of implanted birds was 16 % points lower. Despite intense searching, we found only three eggs of two implanted birds; all were deformed. A similarly deformed egg was reported in a similarly implanted Whimbrel <i>Numenius phaeopus</i> returning to breed in central Alaska. The presence in the body cavity of an object slightly smaller than a normal egg may thus lead to egg malformation and, likely, reduced egg viability. That the use of implanted satellite transmitters in these large shorebirds reduced nesting propensity and might also lead to fertility losses argues against the use of implanted transmitters for studies on breeding biology, and for a careful evaluation of the methodology in studies of migration.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Ornithology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10336-013-1026-4","usgsCitation":"Hooijmeijer, J.C., Gill, R., Mulcahy, D.M., Tibbitts, T.L., Kentie, R., Gerritsen, G.J., Bruinzeel, L.W., Tijssen, D.C., Harwood, C.M., and Piersma, T., 2014, Abdominally implanted satellite transmitters affect reproduction and survival rather than migration of large shorebirds: Journal of Ornithology, v. 155, no. 2, p. 447-457, https://doi.org/10.1007/s10336-013-1026-4.","productDescription":"11 p.","startPage":"447","endPage":"457","numberOfPages":"11","ipdsId":"IP-039730","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":281819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281818,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10336-013-1026-4"}],"country":"The Netherlands","state":"Friesl","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 5.387222,52.849722 ], [ 5.387222,53.044722 ], [ 5.421111,53.044722 ], [ 5.421111,52.849722 ], [ 5.387222,52.849722 ] ] ] } } ] }","volume":"155","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-04-01","publicationStatus":"PW","scienceBaseUri":"537f1c5fe4b021317a86e2dd","contributors":{"authors":[{"text":"Hooijmeijer, Jos C. E. W.","contributorId":64996,"corporation":false,"usgs":false,"family":"Hooijmeijer","given":"Jos","email":"","middleInitial":"C. E. W.","affiliations":[],"preferred":false,"id":477789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gill, Robert E. Jr. 0000-0002-6385-4500 rgill@usgs.gov","orcid":"https://orcid.org/0000-0002-6385-4500","contributorId":171747,"corporation":false,"usgs":true,"family":"Gill","given":"Robert E.","suffix":"Jr.","email":"rgill@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":477786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mulcahy, Daniel M. dmulcahy@usgs.gov","contributorId":3102,"corporation":false,"usgs":true,"family":"Mulcahy","given":"Daniel","email":"dmulcahy@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":477785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":140455,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":477790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kentie, Rosemarie","contributorId":74675,"corporation":false,"usgs":true,"family":"Kentie","given":"Rosemarie","email":"","affiliations":[],"preferred":false,"id":477791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gerritsen, Gerrit J.","contributorId":99466,"corporation":false,"usgs":true,"family":"Gerritsen","given":"Gerrit","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":477794,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bruinzeel, Leo W.","contributorId":31675,"corporation":false,"usgs":true,"family":"Bruinzeel","given":"Leo","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":477787,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tijssen, David C.","contributorId":76227,"corporation":false,"usgs":true,"family":"Tijssen","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":477792,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Harwood, Christopher M.","contributorId":40515,"corporation":false,"usgs":true,"family":"Harwood","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":477788,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Piersma, Theunis","contributorId":95369,"corporation":false,"usgs":true,"family":"Piersma","given":"Theunis","affiliations":[],"preferred":false,"id":477793,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70048472,"text":"70048472 - 2014 - Ecological consequences of mountain pine beetle outbreaks for wildlife in western North American forests","interactions":[],"lastModifiedDate":"2020-12-28T17:33:45.763643","indexId":"70048472","displayToPublicDate":"2013-11-01T09:33:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1688,"text":"Forest Science","active":true,"publicationSubtype":{"id":10}},"title":"Ecological consequences of mountain pine beetle outbreaks for wildlife in western North American forests","docAbstract":"<p>Mountain pine beetle (<i>Dendroctonus ponderosae</i>) (MPB) outbreaks are increasingly prevalent in western North America, causing considerable ecological change in pine (<i>Pinus</i> spp.) forests with important implications for wildlife. We reviewed studies examining wildlife responses to MPB outbreaks and postoutbreak salvage logging to inform forest management and guide future research. Our review included 16 studies describing MPB outbreak relationships with 89 bird species and 6 studies describing relationships with 11 mammalian species, but no studies of reptiles or amphibians. We included studies that compared wildlife response metrics temporally (before versus after the outbreak) and spatially (across sites that varied in severity of outbreak) in relation to beetle outbreaks. Outbreaks ranged in size from 20,600 to ≥10<sup>7</sup> ha and studies occurred 1‐30 years after the peak MPB outbreak, but most studies were conducted over the short-term (i.e., ≤6 years after the peak of MPB-induced tree mortality). Birds were the only taxa studied frequently; however, high variability existed among those studies to allow many inferences, although some patterns were evident. Avian studies concluded that cavity-nesting species responded more favorably to beetle-killed forests than species with open-cup nests, and species nesting in the shrub layer favored outbreak forests compared with ground and open-cup canopy nesters that generally showed mixed relationships. Bark-drilling species as a group clearly demonstrated a positive short-term association with MPB epidemics compared with that of other foraging assemblages. Cavity-nesting birds that do not consume bark beetles (i.e., secondary cavity-nesting species and nonbark-drilling woodpeckers) also exhibited some positive responses to MPB outbreaks, although not as pronounced or consistent as those of bark-drilling woodpeckers. Mammalian responses to MPB outbreaks were mixed. Studies consistently reported negative effects of MPB outbreaks on red squirrels (<i>Tamiasciurus hudsonicus</i>). However, there is evidence that red squirrels can persist after an outbreak under some conditions, e.g., when nonhost tree species are present. For small mammal species associated with forest understories, responses may be most pronounced during the postepidemic period (&gt;6 years after the peak of beetle-induced tree mortality) when snags fall to produce coarse woody debris. Postoutbreak salvage logging studies (<i>n</i> = 6) reported results that lacked consensus. Postoutbreak salvage logging may have an impact on fewer wildlife species than postfire salvage logging, probably because only host-specific tree species are removed after beetle outbreaks.</p>","language":"English","publisher":"Society of American Foresters","doi":"10.5849/forsci.13-022","usgsCitation":"Saab, V.A., Latif, Q.S., Rowland, M., Johnson, T., Chalfoun, A., Buskirk, S.W., Heyward, J.E., and Dresser, M.A., 2014, Ecological consequences of mountain pine beetle outbreaks for wildlife in western North American forests: Forest Science, v. 60, no. 3, p. 539-559, https://doi.org/10.5849/forsci.13-022.","productDescription":"21 p.","startPage":"539","endPage":"559","numberOfPages":"21","ipdsId":"IP-051192","costCenters":[{"id":683,"text":"Wyoming Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":281068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -139.06,37.0 ], [ -139.06,60.0 ], [ -96.44,60.0 ], [ -96.44,37.0 ], [ -139.06,37.0 ] ] ] } } ] }","volume":"60","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7693e4b0abf75cf2bfa8","contributors":{"authors":[{"text":"Saab, Victoria A.","contributorId":82963,"corporation":false,"usgs":true,"family":"Saab","given":"Victoria","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Latif, Quresh S.","contributorId":8382,"corporation":false,"usgs":true,"family":"Latif","given":"Quresh","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":484755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowland, Mary M.","contributorId":67411,"corporation":false,"usgs":true,"family":"Rowland","given":"Mary M.","affiliations":[],"preferred":false,"id":484760,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Tracey N.","contributorId":97425,"corporation":false,"usgs":true,"family":"Johnson","given":"Tracey N.","affiliations":[],"preferred":false,"id":484762,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chalfoun, Anna D.","contributorId":36794,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna D.","affiliations":[],"preferred":false,"id":484758,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buskirk, Steven W.","contributorId":13545,"corporation":false,"usgs":true,"family":"Buskirk","given":"Steven","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":484756,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Heyward, Joslin E.","contributorId":52888,"corporation":false,"usgs":true,"family":"Heyward","given":"Joslin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":484759,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dresser, Matthew A.","contributorId":29736,"corporation":false,"usgs":true,"family":"Dresser","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484757,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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