{"pageNumber":"701","pageRowStart":"17500","pageSize":"25","recordCount":46666,"records":[{"id":70045102,"text":"70045102 - 2010 - Inference of lithologic distributions in an alluvial aquifer using airborne transient electromagnetic surveys","interactions":[],"lastModifiedDate":"2018-04-02T15:21:41","indexId":"70045102","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Inference of lithologic distributions in an alluvial aquifer using airborne transient electromagnetic surveys","docAbstract":"An airborne transient electromagnetic (TEM) survey was completed in the Upper San Pedro Basin in southeastern Arizona to map resistivity distributions within the alluvial aquifer. This investigation evaluated the utility of 1D vertical resistivity models of the TEM data to infer lithologic distributions in an alluvial aquifer. Comparisons of the resistivity values and layers in the 1D resistivity models of airborne TEM data to 1D resistivity models of ground TEM data, borehole resistivity logs, and lithologic descriptions in drill logs indicated that the airborne TEM identified thick conductive fine-grained sediments that result in semiconfined groundwater conditions. One-dimensional models of ground-based TEM surveys and subsurface lithology at three sites were used to determine starting models and constraints to invert airborne TEM data using a constrained Marquardt-styleunderparameterized method. A maximum structural resolution of six layers underlain by a half-space was determined from the resistivity structure of the 1D models of the ground TEM data. The 1D resistivity models of the airborne TEM data compared well with the control data to depths of approximately 100 m in areas of thick conductive silt and clay and to depths of 200 m in areas of resistive sand and gravel. Comparison of a 3D interpolation of the 1D resistivity models to drill logs indicated resistive (mean of 65 ohm-m ) coarse-grained sediments along basin margins and conductive (mean of 8 ohm-m ) fine-grained sediments at the basin center. Extents of hydrologically significant thick silt and clay were well mapped by the 1D resistivity models of airborne TEM data. Areas of uncertain lithology remain below conductive fine-grained sediments where the 1D resistivity structure is not resolved: in areas where multiple lithologies have similar resistivity values and in areas of high salinity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.3464325","usgsCitation":"Dickinson, J.E., Pool, D.R., Groom, R., and Davis, L., 2010, Inference of lithologic distributions in an alluvial aquifer using airborne transient electromagnetic surveys: Geophysics, v. 75, no. 4, p. WA149-WA161, https://doi.org/10.1190/1.3464325.","productDescription":"13 p.","startPage":"WA149","endPage":"WA161","ipdsId":"IP-014910","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":273425,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273424,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/1.3464325"}],"country":"United States","state":"Arizona","otherGeospatial":"San Pedro Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.82,31.33 ], [ -114.82,37.0 ], [ -109.05,37.0 ], [ -109.05,31.33 ], [ -114.82,31.33 ] ] ] } } ] }","volume":"75","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b300e4e4b01368e589e3d5","contributors":{"authors":[{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pool, D. R.","contributorId":75581,"corporation":false,"usgs":true,"family":"Pool","given":"D.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":476800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Groom, R.W.","contributorId":59634,"corporation":false,"usgs":true,"family":"Groom","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":476799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, L.J.","contributorId":99454,"corporation":false,"usgs":true,"family":"Davis","given":"L.J.","email":"","affiliations":[],"preferred":false,"id":476801,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042326,"text":"70042326 - 2010 - Summer stream water temperature models for Great Lakes streams: New York","interactions":[],"lastModifiedDate":"2022-09-02T14:52:18.036633","indexId":"70042326","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Summer stream water temperature models for Great Lakes streams: New York","docAbstract":"Temperature is one of the most important environmental influences on aquatic organisms. It is a primary driver of physiological rates and many abiotic processes. However, despite extensive research and measurements, synoptic estimates of water temperature are not available for most regions, limiting our ability to make systemwide and large-scale assessments of aquatic resources or estimates of aquatic species abundance and biodiversity. We used subwatershed averaging of point temperature measurements and associated multiscale landscape habitat conditions from over 3,300 lotic sites throughout New York State to develop and train artificial neural network models. Separate models predicting water temperature (in cold, cool, and warm temperature classes) within small catchment–stream order groups were developed for four modeling units, which together encompassed the entire state. Water temperature predictions were then made for each stream segment in the state. All models explained more than 90% of data variation. Elevation, riparian forest cover, landscape slope, and growing degree-days were among the most important model predictors of water temperature classes. Geological influences varied among regions. Predicted temperature distributions within stream networks displayed patterns of generally increasing temperature downstream but were patchy due to the averaging of water temperatures within stream size-classes of small drainages. Models predicted coldwater streams to be most numerous and warmwater streams to be generally associated with the largest rivers and relatively flat agricultural areas and urban areas. Model predictions provide a complete, georeferenced map of summer daytime mean stream temperature potential throughout New York State that can be used for planning and assessment at spatial scales from the stream segment class to the entire state.","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MA","doi":"10.1577/T09-153.1","usgsCitation":"McKenna, J., Butryn, R.S., and McDonald, R.P., 2010, Summer stream water temperature models for Great Lakes streams: New York: Transactions of the American Fisheries Society, v. 139, no. 5, p. 1399-1414, https://doi.org/10.1577/T09-153.1.","productDescription":"16 p.","startPage":"1399","endPage":"1414","ipdsId":"IP-015655","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New 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,{"id":70042401,"text":"70042401 - 2010 - Archiving strategy for USGS EROS center and our future direction","interactions":[],"lastModifiedDate":"2013-04-14T13:25:17","indexId":"70042401","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Archiving strategy for USGS EROS center and our future direction","docAbstract":"The U. S. Geological Survey's Earth Resources Observation and Science Center has the responsibility to acquire, manage, and preserve our Nation's land observations. These records are obtained primarily from airplanes and satellites dating back to the 1930s. The ability to compare landscapes from the past with current information enables change analysis at local and global scales. With new observations added daily, the records management challenges are daunting, involving petabytes of electronic data and tens of thousands of rolls of analog film. This paper focuses upon the appraisal and preservation functions employed to ensure that these records are available for current and future generations.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 2010 Roadmap for Digital Preservation Interoperability Framework Workshop","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisherLocation":"Reston, VA","doi":"10.1145/2039274.2039279","usgsCitation":"Faundeen, J., 2010, Archiving strategy for USGS EROS center and our future direction, <i>in</i> Proceedings of the 2010 Roadmap for Digital Preservation Interoperability Framework Workshop, 9 p.; Article No. 5, https://doi.org/10.1145/2039274.2039279.","productDescription":"9 p.; Article No. 5","ipdsId":"IP-020225","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":270878,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":265318,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1145/2039274.2039279"}],"noUsgsAuthors":false,"publicationDate":"2010-03-29","publicationStatus":"PW","scienceBaseUri":"516bcfe1e4b0eae401aec22f","contributors":{"authors":[{"text":"Faundeen, John 0000-0003-0287-2921 faundeen@usgs.gov","orcid":"https://orcid.org/0000-0003-0287-2921","contributorId":3097,"corporation":false,"usgs":true,"family":"Faundeen","given":"John","email":"faundeen@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":471465,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044309,"text":"70044309 - 2010 - Influence of hummocks and emergent vegetation on hydraulic performance in a surface flow wastewater treatment wetland","interactions":[],"lastModifiedDate":"2018-10-10T15:50:12","indexId":"70044309","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Influence of hummocks and emergent vegetation on hydraulic performance in a surface flow wastewater treatment wetland","docAbstract":"<p><span>A series of tracer experiments were conducted biannually at the start and end of the vegetation growing season in a surface flow wastewater treatment wetland located near Phoenix, AZ. Tracer experiments were conducted prior to and following reconfiguration and replanting of a 1.2 ha treatment wetland from its original design of alternating shallow and deep zones to incorporate hummocks (shallow planting beds situated perpendicular to flow). Tracer test data were analyzed using analysis of moments and the one‐dimensional transport with inflow and storage numerical model to evaluate the effects of the seasonal vegetation growth cycle and hummocks on solute transport. Following reconfiguration, vegetation coverage was relatively small, and minor changes in spatial distribution influenced wetland hydraulics. During start‐up conditions, the wetland underwent an acclimation period characterized by small vegetation coverage and large transport cross‐sectional areas. At the start of the growing season, new growth of emergent vegetation enhanced hydraulic performance. At the end of the growing season, senescing vegetation created short‐circuiting. Wetland hydrodynamics were associated with high volumetric efficiencies and velocity heterogeneities. The hummock design resulted in breakthrough curves characterized by multiple secondary tracer peaks indicative of varied flow paths created by bottom topography.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010WR009512","usgsCitation":"Keefe, S.H., Daniels, J.S., Runkel, R.L., Wass, R.D., Stiles, E.A., and Barber, L.B., 2010, Influence of hummocks and emergent vegetation on hydraulic performance in a surface flow wastewater treatment wetland: Water Resources Research, v. 46, no. 11, W11518; 13 p., https://doi.org/10.1029/2010WR009512.","productDescription":"W11518; 13 p.","ipdsId":"IP-007397","costCenters":[{"id":435,"text":"National Research Program - Central Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475468,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010wr009512","text":"Publisher Index 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,{"id":70044780,"text":"70044780 - 2010 - Exploration review","interactions":[],"lastModifiedDate":"2013-04-29T08:36:33","indexId":"70044780","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Exploration review","docAbstract":"This summary of international mineral exploration activities for the year 2009 draws upon information from industry sources, published literature and U.S. Geological Survey (USGS) specialists. The summary provides data on industry exploration budgets by region and mineral commodity, identifies significant mineral discoveries and areas of mineral exploration, discusses government programs affecting the mineral exploration industry and presents analyses of exploration activities by the mineral industry based upon these data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Wilburn, D., and Bourget, M., 2010, Exploration review: Mining Engineering, v. 62, no. 5, p. 39-52.","productDescription":"14 p.","startPage":"39","endPage":"52","ipdsId":"IP-020844","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517f9668e4b0e41721f7a34c","contributors":{"authors":[{"text":"Wilburn, D.R.","contributorId":98911,"corporation":false,"usgs":true,"family":"Wilburn","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":476305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bourget, M.R.","contributorId":91000,"corporation":false,"usgs":true,"family":"Bourget","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":476304,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043294,"text":"70043294 - 2010 - A self-trained classification technique for producing 30 m percent-water maps from Landsat data","interactions":[],"lastModifiedDate":"2013-02-26T20:04:00","indexId":"70043294","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A self-trained classification technique for producing 30 m percent-water maps from Landsat data","docAbstract":"Small bodies of water can be mapped with moderate-resolution satellite data using methods where water is mapped as subpixel fractions using field measurements or high-resolution images as training datasets. A new method, developed from a regression-tree technique, uses a 30 m Landsat image for training the regression tree that, in turn, is applied to the same image to map subpixel water. The self-trained method was evaluated by comparing the percent-water map with three other maps generated from established percent-water mapping methods: (1) a regression-tree model trained with a 5 m SPOT 5 image, (2) a regression-tree model based on endmembers and (3) a linear unmixing classification technique. The results suggest that subpixel water fractions can be accurately estimated when high-resolution satellite data or intensively interpreted training datasets are not available, which increases our ability to map small water bodies or small changes in lake size at a regional scale.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor and Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/01431161003667455","usgsCitation":"Rover, J.R., Wylie, B.K., and Ji, L., 2010, A self-trained classification technique for producing 30 m percent-water maps from Landsat data: International Journal of Remote Sensing, v. 31, no. 8, p. 2197-2203, https://doi.org/10.1080/01431161003667455.","productDescription":"7 p.","startPage":"2197","endPage":"2203","ipdsId":"IP-017132","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":268426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268425,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161003667455"}],"volume":"31","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-04-28","publicationStatus":"PW","scienceBaseUri":"53cd4a8be4b0b290850efd77","contributors":{"authors":[{"text":"Rover, Jennifer R. 0000-0002-3437-4030 jrover@usgs.gov","orcid":"https://orcid.org/0000-0002-3437-4030","contributorId":2941,"corporation":false,"usgs":true,"family":"Rover","given":"Jennifer","email":"jrover@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":473315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":473313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ji, Lei 0000-0002-6133-1036 lji@usgs.gov","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":2832,"corporation":false,"usgs":true,"family":"Ji","given":"Lei","email":"lji@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473314,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046391,"text":"70046391 - 2010 - Functional linear models to test for differences in prairie wetland hydraulic gradients","interactions":[],"lastModifiedDate":"2013-06-11T10:30:49","indexId":"70046391","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Functional linear models to test for differences in prairie wetland hydraulic gradients","docAbstract":"Functional data analysis provides a framework for analyzing multiple time series measured frequently in time, treating each series as a continuous function of time. Functional linear models are used to test for effects on hydraulic gradient functional responses collected from three types of land use in Northeastern Montana at fourteen locations. Penalized regression-splines are used to estimate the underlying continuous functions based on the discretely recorded (over time) gradient measurements. Permutation methods are used to assess the statistical significance of effects. A method for accommodating missing observations in each time series is described. Hydraulic gradients may be an initial and fundamental ecosystem process that responds to climate change. We suggest other potential uses of these methods for detecting evidence of climate change.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2010 International Congress on Environmental Modelling and Software; Modelling for Environment's Sake, Fifth Biennial Meeting, Ottawa, Canada","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"International Environmental Modelling and Software Society","publisherLocation":"Manno, Switzerland","usgsCitation":"Greenwood, M.C., Sojda, R.S., and Preston, T.M., 2010, Functional linear models to test for differences in prairie wetland hydraulic gradients, <i>in</i> 2010 International Congress on Environmental Modelling and Software; Modelling for Environment's Sake, Fifth Biennial Meeting, Ottawa, Canada, 8 p.","productDescription":"8 p.","ipdsId":"IP-020004","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":273587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273586,"type":{"id":11,"text":"Document"},"url":"https://www.iemss.org/iemss2010/papers/W01/W.01.02.Functional%20linear%20models%20to%20test%20for%20differences%20in%20prairie%20wetland%20hydraulic%20gradients%20-%20RICHARD%20S.%20SOJDA.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b846e7e4b03203c522b1d3","contributors":{"editors":[{"text":"Swayne, David A.","contributorId":111728,"corporation":false,"usgs":true,"family":"Swayne","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":509336,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Yang, Wanhong","contributorId":111437,"corporation":false,"usgs":true,"family":"Yang","given":"Wanhong","email":"","affiliations":[],"preferred":false,"id":509335,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Voinov, A.A.","contributorId":113598,"corporation":false,"usgs":true,"family":"Voinov","given":"A.A.","affiliations":[],"preferred":false,"id":509338,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Rizzoli, A.","contributorId":113599,"corporation":false,"usgs":true,"family":"Rizzoli","given":"A.","affiliations":[],"preferred":false,"id":509339,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Filatova, T.","contributorId":112264,"corporation":false,"usgs":true,"family":"Filatova","given":"T.","email":"","affiliations":[],"preferred":false,"id":509337,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Greenwood, Mark C.","contributorId":87844,"corporation":false,"usgs":false,"family":"Greenwood","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":13655,"text":"Montana State Univ.","active":true,"usgs":false}],"preferred":false,"id":479604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sojda, Richard S. sojda@usgs.gov","contributorId":1663,"corporation":false,"usgs":true,"family":"Sojda","given":"Richard","email":"sojda@usgs.gov","middleInitial":"S.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":479602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Preston, Todd M. 0000-0002-8812-9233 tmpreston@usgs.gov","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":1664,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"tmpreston@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":479603,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046384,"text":"70046384 - 2010 - New software methods in radar ornithology using WSR-88D weather data and potential application to monitoring effects of climate change on bird migration","interactions":[],"lastModifiedDate":"2013-07-02T10:34:19","indexId":"70046384","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"New software methods in radar ornithology using WSR-88D weather data and potential application to monitoring effects of climate change on bird migration","docAbstract":"Radar ornithology has provided tools for studying the movement of birds, especially related to migration. Researchers have presented qualitative evidence suggesting that birds, or at least migration events, can be identified using large broad scale radars such as the WSR-88D used in the NEXRAD weather surveillance system. This is potentially a boon for ornithologists because such data cover a large portion of the United States, are constantly being produced, are freely available, and have been archived since the early 1990s. A major obstacle to this research, however, has been that identifying birds in NEXRAD data has required a trained technician to manually inspect a graphically rendered radar sweep. A single site completes one volume scan every five to ten minutes, producing over 52,000 volume scans in one year. This is an immense amount of data, and manual classification is infeasible. We have developed a system that identifies biological echoes using machine learning techniques. This approach begins with training data using scans that have been classified by experts, or uses bird data collected in the field. The data are preprocessed to ensure quality and to emphasize relevant features. A classifier is then trained using this data and cross validation is used to measure performance. We compared neural networks, naive Bayes, and k-nearest neighbor classifiers. Empirical evidence is provided showing that this system can achieve classification accuracies in the 80th to 90th percentile. We propose to apply these methods to studying bird migration phenology and how it is affected by climate variability and change over multiple temporal scales.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2010 International Congress on Environmental Modelling and Software; Modelling for Environment's Sake, Fifth Biennial Meeting, Ottawa, Canada","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"International Environmental Modelling and Software Society","usgsCitation":"Mead, R., Paxton, J., and Sojda, R.S., 2010, New software methods in radar ornithology using WSR-88D weather data and potential application to monitoring effects of climate change on bird migration, <i>in</i> 2010 International Congress on Environmental Modelling and Software; Modelling for Environment's Sake, Fifth Biennial Meeting, Ottawa, Canada, 8 p.","productDescription":"8 p.","ipdsId":"IP-020189","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":274417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274416,"type":{"id":11,"text":"Document"},"url":"https://www.iemss.org/iemss2010/papers/W01/W.01.04.New%20software%20methods%20in%20radar%20ornithology%20using%20WSR-88D%20weather%20data%20and%20potential%20application%20to%20monitoring%20effects%20of%20climate%20change%20on%20bird%20migration%20-%20RICHARD%20S.%20SOJDA.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3f665e4b09630fbdc52a3","contributors":{"editors":[{"text":"Swayne, David A.","contributorId":111728,"corporation":false,"usgs":true,"family":"Swayne","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":509331,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Yang, Wanhong","contributorId":111437,"corporation":false,"usgs":true,"family":"Yang","given":"Wanhong","email":"","affiliations":[],"preferred":false,"id":509330,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Voinov, A.A.","contributorId":113598,"corporation":false,"usgs":true,"family":"Voinov","given":"A.A.","affiliations":[],"preferred":false,"id":509333,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Rizzoli, A.","contributorId":113599,"corporation":false,"usgs":true,"family":"Rizzoli","given":"A.","affiliations":[],"preferred":false,"id":509334,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Filatova, T.","contributorId":112264,"corporation":false,"usgs":true,"family":"Filatova","given":"T.","email":"","affiliations":[],"preferred":false,"id":509332,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Mead, Reginald","contributorId":62109,"corporation":false,"usgs":true,"family":"Mead","given":"Reginald","email":"","affiliations":[],"preferred":false,"id":479596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paxton, John","contributorId":22227,"corporation":false,"usgs":true,"family":"Paxton","given":"John","email":"","affiliations":[],"preferred":false,"id":479595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sojda, Richard S. sojda@usgs.gov","contributorId":1663,"corporation":false,"usgs":true,"family":"Sojda","given":"Richard","email":"sojda@usgs.gov","middleInitial":"S.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":479594,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003630,"text":"70003630 - 2010 - Use of geochemical, isotopic, and age tracer data to develop models of groundwater flow for the purpose of water management, northern High Plains aquifer, USA","interactions":[],"lastModifiedDate":"2021-04-26T17:11:30.015372","indexId":"70003630","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Use of geochemical, isotopic, and age tracer data to develop models of groundwater flow for the purpose of water management, northern High Plains aquifer, USA","docAbstract":"<p><span>A prolonged drought in the High Plains of Nebraska prompted the use of groundwater for cooling at the largest coal-fired power plant in the State. Prior to the drought, groundwater was used primarily for irrigation and the power plant relied exclusively on surface water stored in a nearby reservoir for cooling. Seepage from the reservoir system during the past ∼75</span><span>&nbsp;</span><span>a has resulted in the buildup of a large mound of water in the underlying unconfined aquifer. A well field was installed during the drought for the purpose of tapping the groundwater mound as a supplemental source of water for cooling. Concentrations of dissolved Cl</span><sup>−</sup><span>&nbsp;and&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>SO</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>4</mn></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn><mo is=&quot;true&quot;>-</mo></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">SO<sub>4</sub><sup>2-</sup></span></span></span><span>&nbsp;indicate 65–100% of shallow groundwater and 0–100% of deep groundwater (saturated thickness ∼115</span><span>&nbsp;</span><span>m) in the immediate vicinity of the reservoir was from seepage out of the reservoir system. Hydrogen and O isotopic data indicate most surface-water seepage occurred in the late spring and early summer when reservoir stage was at its highest level. Tritium/</span><sup>3</sup><span>He apparent groundwater ages imply horizontal flow velocities from the reservoir were on the order of 60–600</span><span>&nbsp;</span><span>m/a. These diverse data provided information regarding the spatial distribution, timing, and rate of seepage from the reservoir that could not have been obtained from the available geologic, hydraulic head, and conductivity data. In particular, mixing fractions of surface water and regional groundwater in the aquifer could not have been determined using hydraulic information. Mixing fractions were of special interest in this study because of the management objective to maximize the capture of surface-water seepage in the cooling water wells. Groundwater-flow models developed as well-field management tools were calibrated using inverse modeling techniques and observations of groundwater age, surface-water flow, reservoir stage, and groundwater levels. The age data only accounted for 6 of the 2574 field observations used to calibrate the groundwater-flow models, yet they were among the most influential for refining estimates of hydraulic conductivity, recharge, and seepage from the reservoir. Results from this study demonstrate the benefits of using geochemical, isotopic, and age tracer data to develop conceptual and numerical models of groundwater flow for the purpose of water management.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2010.04.001","usgsCitation":"McMahon, P.B., Carney, C.P., Poeter, E.P., and Peterson, S.M., 2010, Use of geochemical, isotopic, and age tracer data to develop models of groundwater flow for the purpose of water management, northern High Plains aquifer, USA: PNAS, v. 25, no. 6, p. 910-922, https://doi.org/10.1016/j.apgeochem.2010.04.001.","productDescription":"13 p.","startPage":"910","endPage":"922","ipdsId":"IP-016647","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":273443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Platte River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -101.38870239257812,\n              40.93634011692373\n            ],\n            [\n              -100.98907470703124,\n              40.93634011692373\n            ],\n            [\n              -100.98907470703124,\n              41.26438836965208\n            ],\n            [\n              -101.38870239257812,\n              41.26438836965208\n            ],\n            [\n              -101.38870239257812,\n              40.93634011692373\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b300e3e4b01368e589e3cd","contributors":{"authors":[{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carney, C. P.","contributorId":100084,"corporation":false,"usgs":false,"family":"Carney","given":"C.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":814707,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poeter, E. P.","contributorId":63851,"corporation":false,"usgs":false,"family":"Poeter","given":"E.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":814708,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Steven M. 0000-0002-9130-1284 speterson@usgs.gov","orcid":"https://orcid.org/0000-0002-9130-1284","contributorId":847,"corporation":false,"usgs":true,"family":"Peterson","given":"Steven","email":"speterson@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814709,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70041976,"text":"70041976 - 2010 - Diet of lake trout and burbot in northern Lake Michigan during spring: Evidence of ecological interaction","interactions":[],"lastModifiedDate":"2012-12-27T10:51:37","indexId":"70041976","displayToPublicDate":"2012-12-23T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Diet of lake trout and burbot in northern Lake Michigan during spring: Evidence of ecological interaction","docAbstract":"We used analyses of burbot (<i>Lota lota</i>) and lake trout (<i>Salvelinus namaycush</i>) diets taken during spring gill-net surveys in northern Lake Michigan in 2006-2008 to investigate the potential for competition and predator-prey interactions between these two species. We also compared our results to historical data from 1932. During 2006-2008, lake trout diet consisted mainly of alewives (<i>Alosa pseudoharengus</i>) and rainbow smelt (<i>Osmerus mordax</i>), whereas burbot utilized a much wider prey base including round goby (<i>Neogobius melanostomus</i>), rainbow smelt, alewives, and sculpins. Using the Schoener's diet overlap index, we found a higher potential for interspecific competition in 1932 than in 2006-2008, though diet overlap was not significant in either time period. No evidence of cannibalism by lake trout or lake trout predation on burbot was found in either time period. In 2006-2008, however, lake trout composed 5.4% (by weight) of burbot diet. To determine whether this predation could be having an impact on lake trout rehabilitation efforts in northern Lake Michigan, we developed a bioenergetic-based consumption estimate for burbot on Boulder Reef (a representative reef within the Northern Refuge) and found that burbot alone can consume a considerable proportion of the yearling lake trout stocked annually, depending on burbot density. Overall, we conclude that predation, rather than competition, is the more important ecological interaction between burbot and lake trout, and burbot predation may be contributing to the failed lake trout rehabilitation efforts in Lake Michigan.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jglr.2010.02.007","usgsCitation":"Jacobs, G.R., Madenjian, C.P., Bunnell, D., and Holuszko, J.D., 2010, Diet of lake trout and burbot in northern Lake Michigan during spring: Evidence of ecological interaction: Journal of Great Lakes Research, v. 36, no. 2, p. 312-317, https://doi.org/10.1016/j.jglr.2010.02.007.","productDescription":"6 p.","startPage":"312","endPage":"317","numberOfPages":"6","ipdsId":"IP-014520","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":264809,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264810,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2010.02.007"}],"country":"United States","state":"Michigan","otherGeospatial":"Lake Michigan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.776,45.516 ], [ -85.776,45.877 ], [ -85.393,45.877 ], [ -85.393,45.516 ], [ -85.776,45.516 ] ] ] } } ] }","volume":"36","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e5cff1e4b0a4aa5bb0aec3","contributors":{"authors":[{"text":"Jacobs, Gregory R.","contributorId":68189,"corporation":false,"usgs":true,"family":"Jacobs","given":"Gregory","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":470523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":470521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bunnell, David B.","contributorId":14360,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","affiliations":[],"preferred":false,"id":470522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holuszko, Jeffrey D.","contributorId":104429,"corporation":false,"usgs":true,"family":"Holuszko","given":"Jeffrey","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":470524,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70041916,"text":"70041916 - 2010 - Fault zone structure from topography: signatures of en echelon fault slip at Mustang Ridge on the San Andreas Fault, Monterey County, California","interactions":[],"lastModifiedDate":"2012-12-31T12:26:42","indexId":"70041916","displayToPublicDate":"2012-12-10T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Fault zone structure from topography: signatures of en echelon fault slip at Mustang Ridge on the San Andreas Fault, Monterey County, California","docAbstract":"We used high-resolution topography to quantify the spatial distribution of scarps, linear valleys, topographic sinks, and oversteepened stream channels formed along an extensional step over on the San Andreas Fault (SAF) at Mustang Ridge, California. This location provides detail of both creeping fault landform development and complex fault zone kinematics. Here, the SAF creeps 10–14 mm/yr slower than at locations ∼20 km along the fault in either direction. This spatial change in creep rate is coincident with a series of en echelon oblique-normal faults that strike obliquely to the SAF and may accommodate the missing deformation. This study presents a suite of analyses that are helpful for proper mapping of faults in locations where high-resolution topographic data are available. Furthermore, our analyses indicate that two large subsidiary faults near the center of the step over zone appear to carry significant distributed deformation based on their large apparent vertical offsets, the presence of associated sag ponds and fluvial knickpoints, and the observation that they are rotating a segment of the main SAF. Several subsidiary faults in the southeastern portion of Mustang Ridge are likely less active; they have few associated sag ponds and have older scarp morphologic ages and subdued channel knickpoints. Several faults in the northwestern part of Mustang Ridge, though relatively small, are likely also actively accommodating active fault slip based on their young morphologic ages and the presence of associated sag ponds.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Tectonics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union (AGU)","publisherLocation":"Washington, D.C.","doi":"10.1029/2010TC002673","usgsCitation":"DeLong, S.B., Hilley, G.E., Rymer, M.J., and Prentice, C., 2010, Fault zone structure from topography: signatures of en echelon fault slip at Mustang Ridge on the San Andreas Fault, Monterey County, California: Tectonics, v. 29, TC5003: 16 p., https://doi.org/10.1029/2010TC002673.","productDescription":"TC5003: 16 p.","ipdsId":"IP-018444","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":264969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264968,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010TC002673"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.0,36.0 ], [ -121.0,36.5 ], [ -120.5,36.5 ], [ -120.5,36.0 ], [ -121.0,36.0 ] ] ] } } ] }","volume":"29","noUsgsAuthors":false,"publicationDate":"2010-09-02","publicationStatus":"PW","scienceBaseUri":"50e5d127e4b0a4aa5bb0b177","contributors":{"authors":[{"text":"DeLong, Stephen B. 0000-0002-0945-2172 sdelong@usgs.gov","orcid":"https://orcid.org/0000-0002-0945-2172","contributorId":5240,"corporation":false,"usgs":true,"family":"DeLong","given":"Stephen","email":"sdelong@usgs.gov","middleInitial":"B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":470377,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hilley, George E.","contributorId":85484,"corporation":false,"usgs":true,"family":"Hilley","given":"George","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":470378,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rymer, Michael J. mrymer@usgs.gov","contributorId":1522,"corporation":false,"usgs":true,"family":"Rymer","given":"Michael","email":"mrymer@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":470376,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prentice, Carol","contributorId":103549,"corporation":false,"usgs":true,"family":"Prentice","given":"Carol","affiliations":[],"preferred":false,"id":470379,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042092,"text":"70042092 - 2010 - Mechanisms for chemostatic behavior in catchments: implications for CO<sub>2</sub> consumption by mineral weathering","interactions":[],"lastModifiedDate":"2017-01-18T13:43:43","indexId":"70042092","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Mechanisms for chemostatic behavior in catchments: implications for CO<sub>2</sub> consumption by mineral weathering","docAbstract":"Concentrations of weathering products in streams often show relatively little variation compared to changes in discharge, both at event and annual scales. In this study, several hypothesized mechanisms for this “chemostatic behavior” were evaluated, and the potential for those mechanisms to influence relations between climate, weathering fluxes, and CO<sub>2</sub> consumption via mineral weathering was assessed. Data from Loch Vale, an alpine catchment in the Colorado Rocky Mountains, indicates that cation exchange and seasonal precipitation and dissolution of amorphous or poorly crystalline aluminosilicates are important processes that help regulate solute concentrations in the stream; however, those processes have no direct effect on CO<sub>2</sub> consumption in catchments. Hydrograph separation analyses indicate that old water stored in the subsurface over the winter accounts for about one-quarter of annual streamflow, and almost one-half of annual fluxes of Na and SiO<sub>2</sub> in the stream; thus, flushing of old water by new water (snowmelt) is an important component of chemostatic behavior. Hydrologic flushing of subsurface materials further induces chemostatic behavior by reducing mineral saturation indices and increasing reactive mineral surface area, which stimulate mineral weathering rates. CO<sub>2</sub> consumption by carbonic acid mediated mineral weathering was quantified using mass-balance calculations; results indicated that silicate mineral weathering was responsible for approximately two-thirds of annual CO<sub>2</sub> consumption, and carbonate weathering was responsible for the remaining one-third. CO<sub>2</sub> consumption was strongly dependent on annual precipitation and temperature; these relations were captured in a simple statistical model that accounted for 71% of the annual variation in CO<sub>2</sub> consumption via mineral weathering in Loch Vale.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.chemgeo.2009.09.014","usgsCitation":"Clow, D.W., and Mast, M.A., 2010, Mechanisms for chemostatic behavior in catchments: implications for CO<sub>2</sub> consumption by mineral weathering: Chemical Geology, v. 269, no. 1-2, p. 40-51, https://doi.org/10.1016/j.chemgeo.2009.09.014.","productDescription":"12 p.","startPage":"40","endPage":"51","ipdsId":"IP-017755","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":264971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264970,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2009.09.014"}],"country":"United States","state":"Colorado","otherGeospatial":"Loch Vale","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,37.0 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,37.0 ], [ -109.0,37.0 ] ] ] } } ] }","volume":"269","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e5d168e4b0a4aa5bb0b274","contributors":{"authors":[{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470758,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041922,"text":"70041922 - 2010 - Method for calculating self-noise spectra and operating ranges for seismographic inertial sensors and recorders","interactions":[],"lastModifiedDate":"2012-12-31T13:49:35","indexId":"70041922","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Method for calculating self-noise spectra and operating ranges for seismographic inertial sensors and recorders","docAbstract":"Understanding the performance of sensors and recorders is prerequisite to making appropriate use of them in seismology and earthquake engineering. This paper explores a critical aspect of instrument performance, the “self” noise level of the device and the amplitude range it can usefully record. Self noise limits the smallest signals, while instrument clipping level creates the upper limit (above which it either cannot produce signals or becomes unacceptably nonlinear). Where these levels fall, and the “operating range” between them, determines much of the instrument's viability and the applications for which it is appropriate. The representation of seismic-instrument self-noise levels and their effective operating ranges (cf., dynamic range) for seismological inertial sensors, recorders (data acquisition units, or DAUs), and integrated systems of sensors and recorders (data acquisition systems, or DASs) forces one to address an unnatural comparison between transient finite-bandwidth signals, such as earthquake records, and the instrument's self noise, an effectively stationary signal of infinite duration. In addition to being transient, earthquakes and other records of interest are characterized by a peak amplitude and generally a narrow, peaked spectral shape. Unfortunately, any power spectrum computed for such transient signals is ill defined, since the maximum of that spectrum depends strongly upon signal and record durations. In contrast, the noise floor of an instrument is approximately stationary and properly described by a power spectral density (PSD) or its root (rPSD). Put another way, earthquake records have units of amplitude (<i>e.g.</i>, m/s<sup>2</sup>) while PSDs have units of amplitude-squared per hertz (<i>e.g.</i>, (m/s<sup>2</sup>)<sup>2</sup>/Hz) and the rPSD has units of amplitude per root of hertz (<i>e.g.</i>, (m/s<sup>2</sup>)/Hz<sup>1/2</sup>). Thus, this incompatability is a conflict between earthquake (amplitude) and PSD (spectral density) units that requires one to make various assumptions before they can be compared. For purposes of instrument operational performance, we provide a means of evaluating signal and noise and the range between them in a manner representative of time-domain instrument performance. We call these “operating range diagrams” (ORDs), plots of instrument self noise and clipping level; the “operating range” is the range between these values. For frequency-domain performance we elect to show self noise as an rPSD that may be compared to another instrument's noise or to ambient Earth noise (<i>e.g.</i>, Peterson 1993); however, to limit the number of arbitrary choices required to merge transient and stationary signals we do not compare the rPSD to transient signals in the frequency domain. Our solution for a time-domain comparison is not new but rather builds upon the consensus of the first and second Guidelines for Seismometer Testing workshops (Hutt <i>et al.</i> 2009) and long established practice in acoustics. We propose this method as a standard for characterizing seismic instruments, and it has been endorsed by the second workshop (Hutt <i>et al.</i> 2009, 2010) and the Advanced National Seismic System (ANSS) Working Group (2008) and recent ANSS procurement specifications.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Seismological Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/gssrl.81.4.640","usgsCitation":"Evans, J.R., Followill, F., Hutt, C.R., Kromer, R., Nigbor, R., Ringler, A., Steim, J., and Wielandt, E., 2010, Method for calculating self-noise spectra and operating ranges for seismographic inertial sensors and recorders: Seismological Research Letters, v. 81, no. 4, p. 640-646, https://doi.org/10.1785/gssrl.81.4.640.","productDescription":"7 p.","startPage":"640","endPage":"646","ipdsId":"IP-015382","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":264981,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/gssrl.81.4.640"},{"id":264982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-07-01","publicationStatus":"PW","scienceBaseUri":"50e5d16de4b0a4aa5bb0b283","contributors":{"authors":[{"text":"Evans, John R. jrevans@usgs.gov","contributorId":529,"corporation":false,"usgs":true,"family":"Evans","given":"John","email":"jrevans@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":470385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Followill, F.","contributorId":93357,"corporation":false,"usgs":true,"family":"Followill","given":"F.","affiliations":[],"preferred":false,"id":470391,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":470386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kromer, R.P.","contributorId":21838,"corporation":false,"usgs":true,"family":"Kromer","given":"R.P.","email":"","affiliations":[],"preferred":false,"id":470388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nigbor, R.L.","contributorId":30699,"corporation":false,"usgs":true,"family":"Nigbor","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":470389,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ringler, A. T. 0000-0002-9839-4188","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":99282,"corporation":false,"usgs":true,"family":"Ringler","given":"A. T.","affiliations":[],"preferred":false,"id":470392,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Steim, J.M.","contributorId":88230,"corporation":false,"usgs":true,"family":"Steim","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":470390,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wielandt, E.","contributorId":15488,"corporation":false,"usgs":true,"family":"Wielandt","given":"E.","affiliations":[],"preferred":false,"id":470387,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70042172,"text":"70042172 - 2010 - Long-term trends in habitat use of offshore demersal fishes in western Lake Huron suggest large-scale ecosystem change","interactions":[],"lastModifiedDate":"2012-12-31T12:21:07","indexId":"70042172","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Long-term trends in habitat use of offshore demersal fishes in western Lake Huron suggest large-scale ecosystem change","docAbstract":"We estimated mean depths of capture for offshore demersal fish species, grouped into three habitat-based guilds (shallow benthic, pelagic, and deep benthic), using fall bottom trawl data (27–73 m) in the western main basin of Lake Huron from 1976 to 2007. The mean depth of capture of the shallow and deep benthic guilds initially exhibited a trend toward capture in shallower water, switched to a trend toward capture in deeper water in 1991, and changed back to a trend toward capture in shallower water in 2001–2002. Species in the pelagic guild showed a similar pattern, but the initial change point occurred in 1981 for this guild. Individual species in these guilds showed variable patterns of depth distribution, but a feature common to all guilds and all pelagic and deep benthic species was a change to a trend toward capturing fish in shallower water that occurred nearly simultaneously (1999–2002). These common trends suggest that large-scale factors are affecting the habitat use of offshore demersal fish species in Lake Huron. The depth distributions of the three guilds have converged in recent years, indicating that the locations of suitable habitat for offshore demersal fishes may be changing. Our results indicate that the benthic ecology of the western main basin of Lake Huron is undergoing profound changes across a large spatial scale that are affecting the habitat use of offshore demersal fishes. We suggest that these changes are related to recent invasions of exotic species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1577/T09-090.1","usgsCitation":"Riley, S., and Adams, J.V., 2010, Long-term trends in habitat use of offshore demersal fishes in western Lake Huron suggest large-scale ecosystem change: Transactions of the American Fisheries Society, v. 139, no. 5, p. 1322-1334, https://doi.org/10.1577/T09-090.1.","productDescription":"13 p.","startPage":"1322","endPage":"1334","ipdsId":"IP-013678","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":264967,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264966,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/T09-090.1"}],"country":"Canada;United States","otherGeospatial":"Lake Huron","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.95,43.0 ], [ -83.95,46.0 ], [ -81.15,46.0 ], [ -81.15,43.0 ], [ -83.95,43.0 ] ] ] } } ] }","volume":"139","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"50e5d15ee4b0a4aa5bb0b252","contributors":{"authors":[{"text":"Riley, Stephen C.","contributorId":84183,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen C.","affiliations":[],"preferred":false,"id":470895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":470894,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041901,"text":"70041901 - 2010 - Georeferencing the Large-Scale Aerial Photographs of a Great Lakes Coastal Wetland:  A Modified Photogrammetric Method","interactions":[],"lastModifiedDate":"2022-09-02T15:15:25.359476","indexId":"70041901","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Georeferencing the Large-Scale Aerial Photographs of a Great Lakes Coastal Wetland:  A Modified Photogrammetric Method","docAbstract":"The geocontrol template method was developed to georeference multiple, overlapping analog aerial photographs without reliance upon conventionally obtained horizontal ground control. The method was tested as part of a long-term wetland habitat restoration project at a Lake Erie coastal wetland complex in the U.S. Fish and Wildlife Service Ottawa National Wildlife Refuge. As in most coastal wetlands, annually identifiable ground-control features required to georeference photo-interpreted data are difficult to find. The geocontrol template method relies on the following four components: (a) an uncontrolled aerial photo mosaic of the study area, (b) global positioning system (GPS) derived horizontal coordinates of each photo’s principal point, (c) a geocontrol template created by the transfer of fiducial markings and calculated principal points to clear acetate from individual photographs arranged in a mosaic, and (d) the root-mean-square-error testing of the system to ensure an acceptable level of planimetric accuracy. Once created for a study area, the geocontrol template can be registered in geographic information system (GIS) software to facilitate interpretation of multiple images without individual image registration. The geocontrol template enables precise georeferencing of single images within larger blocks of photographs using a repeatable and consistent method.","language":"English","publisher":"Springer","doi":"10.1007/s13157-010-0027-9","usgsCitation":"Kowalski, K., and Grapentine, J.L., 2010, Georeferencing the Large-Scale Aerial Photographs of a Great Lakes Coastal Wetland:  A Modified Photogrammetric Method: Wetlands, v. 30, no. 2, p. 369-374, https://doi.org/10.1007/s13157-010-0027-9.","productDescription":"6 p.","startPage":"369","endPage":"374","ipdsId":"IP-013374","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":267604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Lake Erie, Ottawa National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.2602310180664,\n              41.605431236301456\n            ],\n            [\n              -83.26074600219727,\n              41.60478944688097\n            ],\n            [\n              -83.11878204345703,\n              41.604019291149854\n            ],\n            [\n              -83.11895370483398,\n              41.61492897332632\n            ],\n            [\n              -83.12633514404297,\n              41.617752355216076\n            ],\n            [\n              -83.13577651977539,\n              41.61646901513335\n            ],\n            [\n              -83.19551467895508,\n              41.63238062721709\n            ],\n            [\n              -83.23740005493164,\n              41.651879827111344\n            ],\n            [\n              -83.26074600219727,\n              41.64097639649512\n            ],\n            [\n              -83.2602310180664,\n              41.605431236301456\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-02-25","publicationStatus":"PW","scienceBaseUri":"5120b893e4b0e93254cd7547","contributors":{"authors":[{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":470344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grapentine, Joel L.","contributorId":53674,"corporation":false,"usgs":true,"family":"Grapentine","given":"Joel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":470345,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038799,"text":"70038799 - 2010 - Factors associated with hunter success for ducks on state-owned lands in Illinois, USA","interactions":[],"lastModifiedDate":"2017-09-19T11:34:36","indexId":"70038799","displayToPublicDate":"2012-06-15T20:16:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"Factors associated with hunter success for ducks on state-owned lands in Illinois, USA","docAbstract":"<p><span>Factors that influence hunter success for waterfowl are subject to varying levels of control by managers. The relative influence of these factors is poorly understood, but such information may be valuable to guide management actions intended to promote successful hunting and communicate management decisions to constituents. We used bag-check data to investigate factors influencing hunter success for mallards&nbsp;</span><i>Anas platyrhynchos</i><span><span>&nbsp;</span>and other dabbling ducks (tribe Anatini) during the period 1981-2000 and 2002 at Illinois public waterfowl areas. Competing models of hunter success for mallards and other dabbling ducks included a negative association with average low temperature during the duck season (uncontrollable by managers) and positive associations with estimates of local and continental duck abundance, factors which we considered partially controllable by managers. Although a certain proportion of variation in hunter success for ducks cannot be directly influenced by managers, we suggest that programs and management efforts, which promote larger continental duck populations (e.g. Conservation Reserve Program) and local duck abundance (e.g. provide quality wetland foraging habitats), may positively influence hunter success.</span></p>","language":"English","publisher":"Nordic Board for Wildlife Research","doi":"10.2981/09-071","usgsCitation":"Stafford, J.D., Pearse, A.T., Hine, C.S., Yetter, A.P., and Horath, M.M., 2010, Factors associated with hunter success for ducks on state-owned lands in Illinois, USA: Wildlife Biology, v. 16, no. 2, p. 113-122, https://doi.org/10.2981/09-071.","productDescription":"10 p.","startPage":"113","endPage":"122","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":475484,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/09-071","text":"Publisher Index Page"},{"id":257850,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","volume":"16","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0eb3e4b0c8380cd5359a","contributors":{"authors":[{"text":"Stafford, Joshua D. jstafford@usgs.gov","contributorId":4267,"corporation":false,"usgs":true,"family":"Stafford","given":"Joshua","email":"jstafford@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":464960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":464959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hine, Christopher S.","contributorId":31251,"corporation":false,"usgs":true,"family":"Hine","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":464961,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yetter, Aaron P.","contributorId":63665,"corporation":false,"usgs":true,"family":"Yetter","given":"Aaron","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":464962,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horath, Michelle M.","contributorId":96141,"corporation":false,"usgs":true,"family":"Horath","given":"Michelle","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":464963,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70003410,"text":"70003410 - 2010 - Molecular phylogeny of the spoonbills (Aves: Threskiornithidae) based on mitochondrial DNA","interactions":[],"lastModifiedDate":"2016-08-24T13:35:02","indexId":"70003410","displayToPublicDate":"2012-05-29T14:40:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3814,"text":"Zootaxa","onlineIssn":"1175-5334","printIssn":"1175-5326","active":true,"publicationSubtype":{"id":10}},"title":"Molecular phylogeny of the spoonbills (Aves: Threskiornithidae) based on mitochondrial DNA","docAbstract":"Spoonbills (genus <i>Platalea</i>) are a small group of wading birds, generally considered to constitute the subfamily Plataleinae (Aves: Threskiornithidae). We reconstructed phylogenetic relationships among the six species of spoonbills using variation in sequences of the mitochondrial genes <i>ND2</i> and cytochrome <i>b</i> (total 1796 bp). Topologies of phylogenetic trees reconstructed using maximum likelihood, maximum parsimony, and Bayesian analyses were virtually identical and supported monophyly of the spoonbills. Most relationships within <i>Platalea</i> received strong support: <i>P. minor</i> and <i>P. regia</i> were closely related sister species, <i>P. leucorodia</i> was sister to the <i>minor-regia</i> clade, and <i>P. alba</i> was sister to the <i>minor-regia-leucorodia</i> clade. Relationships of <i>P. flavipes</i> and <i>P. ajaja</i> were less well resolved: these species either formed a clade that was sister to the four-species clade, or were successive sisters to this clade. This phylogeny is consistent with ideas of relatedness derived from spoonbill morphology. Our limited sampling of the Threskiornithinae (ibises), the putative sister group to the spoonbills, indicated that this group is paraphyletic, in agreement with previous molecular data; this suggests that separation of the Threskiornithidae into subfamilies Plataleinae and Threskiornithinae may not be warranted.","language":"English","publisher":"Magnolia Press","publisherLocation":"Aukland, New Zealand","usgsCitation":"Chesser, R., Yeung, C.K., Yao, C., Tian, X., and Li, S., 2010, Molecular phylogeny of the spoonbills (Aves: Threskiornithidae) based on mitochondrial DNA: Zootaxa, v. 2603, p. 53-60.","productDescription":"8 p.","startPage":"53","endPage":"60","numberOfPages":"8","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":257292,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":21683,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.mapress.com/zootaxa/list/2010/2603.html","linkFileType":{"id":5,"text":"html"}}],"volume":"2603","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5d0ee4b0c8380cd70127","contributors":{"authors":[{"text":"Chesser, R. Terry 0000-0003-4389-7092","orcid":"https://orcid.org/0000-0003-4389-7092","contributorId":87669,"corporation":false,"usgs":true,"family":"Chesser","given":"R. Terry","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":347197,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yeung, Carol K.L.","contributorId":72113,"corporation":false,"usgs":true,"family":"Yeung","given":"Carol","email":"","middleInitial":"K.L.","affiliations":[],"preferred":false,"id":347196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yao, Cheng-Te","contributorId":63147,"corporation":false,"usgs":true,"family":"Yao","given":"Cheng-Te","email":"","affiliations":[],"preferred":false,"id":347194,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tian, Xiu-Hua","contributorId":25687,"corporation":false,"usgs":true,"family":"Tian","given":"Xiu-Hua","email":"","affiliations":[],"preferred":false,"id":347193,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Shou-Hsien","contributorId":63148,"corporation":false,"usgs":true,"family":"Li","given":"Shou-Hsien","email":"","affiliations":[],"preferred":false,"id":347195,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70003577,"text":"70003577 - 2010 - Models for inference in dynamic metacommunity systems","interactions":[],"lastModifiedDate":"2021-01-13T16:41:32.653382","indexId":"70003577","displayToPublicDate":"2012-05-29T13:55:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Models for inference in dynamic metacommunity systems","docAbstract":"<p><span>A variety of processes are thought to be involved in the formation and dynamics of species assemblages. For example, various metacommunity theories are based on differences in the relative contributions of dispersal of species among local communities and interactions of species within local communities. Interestingly, metacommunity theories continue to be advanced without much empirical validation. Part of the problem is that statistical models used to analyze typical survey data either fail to specify ecological processes with sufficient complexity or they fail to account for errors in detection of species during sampling. In this paper, we describe a statistical modeling framework for the analysis of metacommunity dynamics that is based on the idea of adopting a unified approach, multispecies occupancy modeling, for computing inferences about individual species, local communities of species, or the entire metacommunity of species. This approach accounts for errors in detection of species during sampling and also allows different metacommunity paradigms to be specified in terms of species‐ and location‐specific probabilities of occurrence, extinction, and colonization: all of which are estimable. In addition, this approach can be used to address inference problems that arise in conservation ecology, such as predicting temporal and spatial changes in biodiversity for use in making conservation decisions. To illustrate, we estimate changes in species composition associated with the species‐specific phenologies of flight patterns of butterflies in Switzerland for the purpose of estimating regional differences in biodiversity.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/09-1033.1","usgsCitation":"Dorazio, R.M., Kery, M., Royle, J., and Plattner, M., 2010, Models for inference in dynamic metacommunity systems: Ecology, v. 91, no. 8, p. 2466-2475, https://doi.org/10.1890/09-1033.1.","productDescription":"10 p.","startPage":"2466","endPage":"2475","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":257293,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Switzerland","volume":"91","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c7be4b0c8380cd6fd26","contributors":{"authors":[{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":347822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kery, Marc","contributorId":38680,"corporation":false,"usgs":true,"family":"Kery","given":"Marc","affiliations":[],"preferred":false,"id":347824,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":347825,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plattner, Matthias","contributorId":38404,"corporation":false,"usgs":true,"family":"Plattner","given":"Matthias","email":"","affiliations":[],"preferred":false,"id":347823,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70038410,"text":"fs20103058 - 2010 - Streamflow of 2009--Water year summary","interactions":[],"lastModifiedDate":"2012-05-26T01:01:37","indexId":"fs20103058","displayToPublicDate":"2012-05-22T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3058","title":"Streamflow of 2009--Water year summary","docAbstract":"The maps and graph in this summary describe streamflow conditions for water-year 2009 (October 1, 2008 to September 30, 2009) in the context of the 80-year period 1930-2009, unless otherwise noted. The illustrations are based on observed data from the U.S. Geological Survey's National Streamflow Information Program. The period 1930-2009 was used because prior to 1930, the number of streamgages was too small to provide representative data for computing statistics for most regions of the country.\r\nIn the summary, reference is made to the term \"runoff,\" which is the depth to which a river basin, State, or other geographic area would be covered with water if all the streamflow within the area during a single year was uniformly distributed upon it. Runoff quantifies the magnitude of water flowing through the Nation's rivers and streams in measurement units that can be compared from one area to another.\r\nEach of the maps and graphs can be expanded to a larger view by clicking on the image. In all the graphics, a rank of 1 indicates the highest flow of all years analyzed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20103058","usgsCitation":"Xiaodong, J., Wolock, D.M., Lins, H.F., and Brady, S., 2010, Streamflow of 2009--Water year summary: U.S. Geological Survey Fact Sheet 2010-3058, 8 p., https://doi.org/10.3133/fs20103058.","productDescription":"8 p.","onlineOnly":"Y","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":256943,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3058.gif"},{"id":256938,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3058/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9b12e4b08c986b31cc6f","contributors":{"authors":[{"text":"Xiaodong, Jian","contributorId":10260,"corporation":false,"usgs":true,"family":"Xiaodong","given":"Jian","email":"","affiliations":[],"preferred":false,"id":464058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":464056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lins, Harry F. 0000-0001-5385-9247 hlins@usgs.gov","orcid":"https://orcid.org/0000-0001-5385-9247","contributorId":1505,"corporation":false,"usgs":true,"family":"Lins","given":"Harry","email":"hlins@usgs.gov","middleInitial":"F.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":464057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brady, Steve","contributorId":108351,"corporation":false,"usgs":true,"family":"Brady","given":"Steve","email":"","affiliations":[],"preferred":false,"id":464059,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003788,"text":"70003788 - 2010 - Estimating migratory game-bird productivity by integrating age ratio and banding data","interactions":[],"lastModifiedDate":"2012-05-17T01:01:41","indexId":"70003788","displayToPublicDate":"2012-05-08T10:06:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3777,"text":"Wildlife Research","active":true,"publicationSubtype":{"id":10}},"title":"Estimating migratory game-bird productivity by integrating age ratio and banding data","docAbstract":"<p><b>Context:</b> Reproduction is a critical component of fitness, and understanding factors that influence temporal and spatial dynamics in reproductive output is important for effective management and conservation. Although several indices of reproductive output for wide-ranging species, such as migratory birds, exist, there has been no theoretical justification for their estimators or associated measures of variance.</p>\n<p><b>Aims:</b> The aims of our research were to develop statistical justification for an estimator of reproduction and associated variances on the basis of an existing national wing-collection survey and banding data, and to demonstrate the applicability of this estimator to a migratory game bird.</p>\n<p><b>Methods:</b> We used a Bayesian hierarchical modelling approach to integrate wing-collection data, which provides information on population age ratios, and band-recovery data, which provides information on recovery probabilities of various age classes, for American woodcock (<i>Scolopax minor</i>) to estimate productivity and associated measures of variance. We present two models of relative vulnerability between age classes: one model assumed that adult recovery probabilities were higher, but that annual fluctuations were synchronous between the two age classes (i.e. an additive effect of age and year). The second model assumed that adults, on average, had higher recovery probabilities than did juveniles and that annual fluctuations were asynchronous through time (i.e. an interaction between age and year).</p>\n<p><b>Key results:</b> Fitting our models within a hierarchical Bayesian framework efficiently incorporates the two data types into a single estimator and derives appropriate variances for the productivity estimator. Further, use of Bayesian methods enabled us to derive credible intervals that avoid the reliance on asymptotic assumptions. When applied to American woodcock data, the additive model resulted in biologically realistic and more precise age-ratio estimates each year and is adequate when the relative vulnerability to sampling only slightly varies or does not vary among components of a population (e.g. age, sex class) among years. Therefore, we recommend using woodcock indices from our analysis based on this model.</p>\n<p><b>Conclusions:</b> We provide a flexible modelling framework for estimating productivity and associated variances that can incorporate ecological covariates to explore various factors that could drive annual dynamics in productivity. Applying our model to the American woodcock data indicated that assumptions about the variability in relative recovery probabilities could greatly influence the precision of our productivity estimator. Therefore, researchers should carefully consider the assumption of temporally variable relative recovery probabilities (i.e. ratio of juvenile to adults' recovery probability) for different age classes when applying this estimator.</p>\n<p><b>Implications:</b> Several national and international management strategies for migratory game birds in North America rely on measures of productivity from harvest survey parts collections, without a justification of the estimator or providing estimates of precision. We derive an estimator of productivity with realistic measures of uncertainty that can be directly incorporated into management plans or ecological studies across large spatial scales.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wildlife Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"CSIRO Publishing","publisherLocation":"Collingwood, Victoria, Australia","doi":"10.1071/WR10062","usgsCitation":"Zimmerman, G., Link, W., Conroy, M., Sauer, J., Richkus, K., and Boomer, G., 2010, Estimating migratory game-bird productivity by integrating age ratio and banding data: Wildlife Research, v. 37, no. 7, p. 612-622, https://doi.org/10.1071/WR10062.","productDescription":"11 p.","startPage":"612","endPage":"622","numberOfPages":"11","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":256873,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":21741,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1071/WR10062","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"37","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b2de4b0c8380cd525e8","contributors":{"authors":[{"text":"Zimmerman, G.S.","contributorId":16126,"corporation":false,"usgs":true,"family":"Zimmerman","given":"G.S.","email":"","affiliations":[],"preferred":false,"id":348842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Link, W.A. 0000-0002-9913-0256","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":8815,"corporation":false,"usgs":true,"family":"Link","given":"W.A.","affiliations":[],"preferred":false,"id":348841,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conroy, M.J.","contributorId":84690,"corporation":false,"usgs":true,"family":"Conroy","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":348845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sauer, J.R. 0000-0002-4557-3019","orcid":"https://orcid.org/0000-0002-4557-3019","contributorId":66197,"corporation":false,"usgs":true,"family":"Sauer","given":"J.R.","affiliations":[],"preferred":false,"id":348843,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richkus, K.D.","contributorId":6297,"corporation":false,"usgs":true,"family":"Richkus","given":"K.D.","email":"","affiliations":[],"preferred":false,"id":348840,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boomer, G. Scott","contributorId":84603,"corporation":false,"usgs":true,"family":"Boomer","given":"G. Scott","affiliations":[],"preferred":false,"id":348844,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70038190,"text":"70038190 - 2010 - Old data, new problems","interactions":[],"lastModifiedDate":"2012-05-16T01:01:49","indexId":"70038190","displayToPublicDate":"2012-05-06T18:42:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3328,"text":"SWS Research Brief","active":true,"publicationSubtype":{"id":10}},"title":"Old data, new problems","docAbstract":"Old data are a gold standard in climate change research, and much more use should be made of these data sets to document changes in wetlands in recent decades. Key data sets for the study of climate or land use change effects on wetlands may include historical field studies. Old data sets such as those from Iowa State University in the 1980s have immense value for assessing long term vegetation change over time. These data sets include classic studies of biomass production, decomposition, vegetation composition, water level tolerances, and seed bank structure.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"SWS Research Brief","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Wetland Scientists","publisherLocation":"Madison, WI","usgsCitation":"Middleton, B., 2010, Old data, new problems: SWS Research Brief, v. 2010-0002, 4 p.","productDescription":"4 p.","numberOfPages":"4","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":254783,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":254774,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://www.sws.org/ResearchBrief/Middleton_klmrev.pdf","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"2010-0002","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6d55e4b0c8380cd75098","contributors":{"authors":[{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":69226,"corporation":false,"usgs":false,"family":"Middleton","given":"Beth","affiliations":[],"preferred":false,"id":463625,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70037769,"text":"70037769 - 2010 - Bayesian change point analysis of abundance trends for pelagic fishes in the upper San Francisco Estuary","interactions":[],"lastModifiedDate":"2012-04-30T16:43:36","indexId":"70037769","displayToPublicDate":"2012-03-25T14:25:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Bayesian change point analysis of abundance trends for pelagic fishes in the upper San Francisco Estuary","docAbstract":"We examined trends in abundance of four pelagic fish species (delta smelt, longfin smelt, striped bass, and threadfin shad) in the upper San Francisco Estuary, California, USA, over 40 years using Bayesian change point models. Change point models identify times of abrupt or unusual changes in absolute abundance (step changes) or in rates of change in abundance (trend changes). We coupled Bayesian model selection with linear regression splines to identify biotic or abiotic covariates with the strongest associations with abundances of each species. We then refitted change point models conditional on the selected covariates to explore whether those covariates could explain statistical trends or change points in species abundances. We also fitted a multispecies change point model that identified change points common to all species. All models included hierarchical structures to model data uncertainties, including observation errors and missing covariate values. There were step declines in abundances of all four species in the early 2000s, with a likely common decline in 2002. Abiotic variables, including water clarity, position of the 2&#137; isohaline (X2), and the volume of freshwater exported from the estuary, explained some variation in species' abundances over the time series, but no selected covariates could explain statistically the post-2000 change points for any species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/09-0998.1","usgsCitation":"Thompson, J.R., Kimmerer, W.J., Brown, L.R., Newman, K.B., Mac Nally, R., Bennett, W.A., Feyrer, F., and Fleishman, E., 2010, Bayesian change point analysis of abundance trends for pelagic fishes in the upper San Francisco Estuary: Ecological Applications, v. 20, p. 1431-1448, https://doi.org/10.1890/09-0998.1.","productDescription":"18 p.","startPage":"1431","endPage":"1448","numberOfPages":"18","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":246933,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":246920,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1890/09-0998.1","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","volume":"20","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f02ae4b0c8380cd4a611","contributors":{"authors":[{"text":"Thompson, James R.","contributorId":52015,"corporation":false,"usgs":true,"family":"Thompson","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":462663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kimmerer, Wim J.","contributorId":59169,"corporation":false,"usgs":false,"family":"Kimmerer","given":"Wim","email":"","middleInitial":"J.","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":462664,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newman, Ken B.","contributorId":51139,"corporation":false,"usgs":true,"family":"Newman","given":"Ken","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":462662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mac Nally, Ralph","contributorId":107966,"corporation":false,"usgs":true,"family":"Mac Nally","given":"Ralph","email":"","affiliations":[],"preferred":false,"id":462667,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bennett, William A.","contributorId":88988,"corporation":false,"usgs":true,"family":"Bennett","given":"William","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":462665,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Feyrer, Frederick 0000-0003-1253-2349","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":106736,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","affiliations":[],"preferred":false,"id":462666,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fleishman, Erica","contributorId":11863,"corporation":false,"usgs":true,"family":"Fleishman","given":"Erica","affiliations":[],"preferred":false,"id":462661,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70037764,"text":"70037764 - 2010 - Analysis of pelagic species decline in the upper San Francisco Estuary using multivariate autoregressive modeling (MAR)","interactions":[],"lastModifiedDate":"2021-01-13T16:06:21.339626","indexId":"70037764","displayToPublicDate":"2012-03-25T13:37:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of pelagic species decline in the upper San Francisco Estuary using multivariate autoregressive modeling (MAR)","docAbstract":"Four species of pelagic fish of particular management concern in the upper San Francisco Estuary, California, USA, have declined precipitously since ca. 2002: delta smelt (<i>Hypomesus transpacificus</i>), longfin smelt (<i>Spirinchus thaleichthys</i>), striped bass (<i>Morone saxatilis</i>), and threadfin shad (<i>Dorosoma petenense</i>). The estuary has been monitored since the late 1960s with extensive collection of data on the fishes, their pelagic prey, phytoplankton biomass, invasive species, and physical factors. We used multivariate autoregressive (MAR) modeling to discern the main factors responsible for the declines. An expert-elicited model was built to describe the system. Fifty-four relationships were built into the model, only one of which was of uncertain direction a priori. Twenty-eight of the proposed relationships were strongly supported by or consistent with the data, while 26 were close to zero (not supported by the data but not contrary to expectations). The position of the 2&#137; isohaline (a measure of the physical response of the estuary to freshwater flow) and increased water clarity over the period of analyses were two factors affecting multiple declining taxa (including fishes and the fishes' main zooplankton prey). Our results were relatively robust with respect to the form of stock&ndash;recruitment model used and to inclusion of subsidiary covariates but may be enhanced by using detailed state&ndash;space models that describe more fully the life-history dynamics of the declining species.","language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/09-1724.1","usgsCitation":"Mac Nally, R., Thomson, J.R., Kimmerer, W.J., Feyrer, F., Newman, K.B., Sih, A., Bennett, W.A., Brown, L.R., Fleishman, E., Culberson, S.D., and Castillo, G., 2010, Analysis of pelagic species decline in the upper San Francisco Estuary using multivariate autoregressive modeling (MAR): Ecological Applications, v. 20, no. 5, p. 1417-1430, https://doi.org/10.1890/09-1724.1.","productDescription":"14 p.","startPage":"1417","endPage":"1430","numberOfPages":"14","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":246932,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Upper San Francisco Estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.772216796875,\n              37.77071473849609\n            ],\n            [\n              -121.278076171875,\n              37.77071473849609\n            ],\n            [\n              -121.278076171875,\n              38.41055825094609\n            ],\n            [\n              -122.772216796875,\n              38.41055825094609\n            ],\n            [\n              -122.772216796875,\n              37.77071473849609\n            ]\n          ]\n 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University","active":true,"usgs":false}],"preferred":false,"id":462638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feyrer, Frederick 0000-0003-1253-2349","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":106736,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","affiliations":[],"preferred":false,"id":462642,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Newman, Ken B.","contributorId":51139,"corporation":false,"usgs":true,"family":"Newman","given":"Ken","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":462636,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sih, Andy","contributorId":55247,"corporation":false,"usgs":true,"family":"Sih","given":"Andy","email":"","affiliations":[],"preferred":false,"id":462637,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bennett, William A.","contributorId":88988,"corporation":false,"usgs":true,"family":"Bennett","given":"William","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":462641,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462639,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fleishman, Erica","contributorId":11863,"corporation":false,"usgs":true,"family":"Fleishman","given":"Erica","affiliations":[],"preferred":false,"id":462633,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Culberson, Steven D.","contributorId":82166,"corporation":false,"usgs":true,"family":"Culberson","given":"Steven","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":462640,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Castillo, Gonzalo","contributorId":46806,"corporation":false,"usgs":true,"family":"Castillo","given":"Gonzalo","email":"","affiliations":[],"preferred":false,"id":462635,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70007387,"text":"70007387 - 2010 - Detecting temporal trends in species assemblages with bootstrapping procedures and hierarchical models","interactions":[],"lastModifiedDate":"2013-01-21T18:15:06","indexId":"70007387","displayToPublicDate":"2012-02-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3048,"text":"Philosophical Transactions of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Detecting temporal trends in species assemblages with bootstrapping procedures and hierarchical models","docAbstract":"Quantifying patterns of temporal trends in species assemblages is an important analytical challenge in community ecology. We describe methods of analysis that can be applied to a matrix of counts of individuals that is organized by species (rows) and time-ordered sampling periods (columns). We first developed a bootstrapping procedure to test the null hypothesis of random sampling from a stationary species abundance distribution with temporally varying sampling probabilities. This procedure can be modified to account for undetected species. We next developed a hierarchical model to estimate species-specific trends in abundance while accounting for species-specific probabilities of detection. We analysed two long-term datasets on stream fishes and grassland insects to demonstrate these methods. For both assemblages, the bootstrap test indicated that temporal trends in abundance were more heterogeneous than expected under the null model. We used the hierarchical model to estimate trends in abundance and identified sets of species in each assemblage that were steadily increasing, decreasing or remaining constant in abundance over more than a decade of standardized annual surveys. Our methods of analysis are broadly applicable to other ecological datasets, and they represent an advance over most existing procedures, which do not incorporate effects of incomplete sampling and imperfect detection.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Philosophical Transactions of the Royal Society B: Biological Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Royal Society","publisherLocation":"London, UK","doi":"10.1098/rstb.2010.0262","usgsCitation":"Gotelli, N., Dorazio, R.M., Ellison, A.M., and Grossman, G.D., 2010, Detecting temporal trends in species assemblages with bootstrapping procedures and hierarchical models: Philosophical Transactions of the Royal Society B: Biological Sciences, v. 365, no. 1558, p. 3621-3631, https://doi.org/10.1098/rstb.2010.0262.","productDescription":"11 p.","startPage":"3621","endPage":"3631","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":475495,"rank":101,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:4677617","text":"External Repository"},{"id":204858,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":204856,"rank":100,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1098/rstb.2010.0262","linkFileType":{"id":5,"text":"html"}}],"volume":"365","issue":"1558","noUsgsAuthors":false,"publicationDate":"2010-11-27","publicationStatus":"PW","scienceBaseUri":"5059ff62e4b0c8380cd4f167","contributors":{"authors":[{"text":"Gotelli, Nicholas J.","contributorId":79618,"corporation":false,"usgs":true,"family":"Gotelli","given":"Nicholas J.","affiliations":[],"preferred":false,"id":356376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":356373,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellison, Aaron M.","contributorId":37058,"corporation":false,"usgs":true,"family":"Ellison","given":"Aaron","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":356375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grossman, Gary D.","contributorId":14106,"corporation":false,"usgs":true,"family":"Grossman","given":"Gary","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":356374,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70007374,"text":"sim3109 - 2010 - Surficial geologic map of the Amboy 30' x 60' quadrangle, San Bernardino County, California","interactions":[],"lastModifiedDate":"2022-04-15T19:28:26.983869","indexId":"sim3109","displayToPublicDate":"2012-02-23T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3109","title":"Surficial geologic map of the Amboy 30' x 60' quadrangle, San Bernardino County, California","docAbstract":"The surficial geologic map of the Amboy 30' x 60' quadrangle presents characteristics of surficial materials for an area of approximately 5,000 km<sup>2</sup> in the eastern Mojave Desert of southern California. This map consists of new surficial mapping conducted between 2000 and 2007, as well as compilations from previous surficial mapping. Surficial geologic units are mapped and described based on depositional process and age categories that reflect the mode of deposition, pedogenic effects following deposition, and, where appropriate, the lithologic nature of the material. Many physical properties were noted and measured during the geologic mapping. This information was used to classify surficial deposits and to understand their ecological importance. We focus on physical properties that drive hydrologic, biologic, and physical processes such as particle-size distribution (PSD) and bulk density. The database contains point data representing locations of samples for both laboratory determined physical properties and semiquantitative field-based information in the database. We include the locations of all field observations and note the type of information collected in the field to help assist in assessing the quality of the mapping. The publication is separated into three parts: documentation, spatial data, and printable map graphics of the database. Documentation includes this pamphlet, which provides a discussion of the surficial geology and units and the map. Spatial data are distributed as ArcGIS Geodatabase in Microsoft Access format and are accompanied by a readme file, which describes the database contents, and FGDC metadata for the spatial map information. Map graphics files are distributed as Postscript and Adobe Portable Document Format (PDF) files that provide a view of the spatial database at the mapped scale.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3109","usgsCitation":"Bedford, D., Miller, D., and Phelps, G., 2010, Surficial geologic map of the Amboy 30' x 60' quadrangle, San Bernardino County, California: U.S. Geological Survey Scientific Investigations Map 3109, Pamphlet: iv, 20 p.; 1 Plate: 56.00 x 30.00 inches; Readme; Metadata; Data Download, https://doi.org/10.3133/sim3109.","productDescription":"Pamphlet: iv, 20 p.; 1 Plate: 56.00 x 30.00 inches; Readme; Metadata; Data Download","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":116397,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3109.png"},{"id":398861,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93795.htm"},{"id":115885,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3109/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"NAD27","country":"United States","state":"California","county":"San Bernadino County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116,34.5 ], [ -116,35 ], [ -115,35 ], [ -115,34.5 ], [ -116,34.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba1dce4b08c986b31f362","contributors":{"authors":[{"text":"Bedford, David R.","contributorId":26352,"corporation":false,"usgs":true,"family":"Bedford","given":"David R.","affiliations":[],"preferred":false,"id":356339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":1707,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":356337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Phelps, Geoffrey A.","contributorId":17262,"corporation":false,"usgs":true,"family":"Phelps","given":"Geoffrey A.","affiliations":[],"preferred":false,"id":356338,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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