{"pageNumber":"1789","pageRowStart":"44700","pageSize":"25","recordCount":184635,"records":[{"id":70043913,"text":"70043913 - 2011 - Adaption of egg and larvae sampling techniques for lake sturgeon and broadcast spawning fishes in a deep river","interactions":[],"lastModifiedDate":"2022-12-06T19:05:18.782901","indexId":"70043913","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Adaption of egg and larvae sampling techniques for lake sturgeon and broadcast spawning fishes in a deep river","docAbstract":"<p><span>In this report we describe how we adapted two techniques for sampling lake sturgeon (</span><i>Acipenser fulvescens</i><span>) and other fish early life history stages to meet our research needs in the Detroit River, a deep, flowing Great Lakes connecting channel. First, we developed a buoy‐less method for sampling fish eggs and spawning activity using egg mats deployed on the river bottom. The buoy‐less method allowed us to fish gear in areas frequented by boaters and recreational anglers, thus eliminating surface obstructions that interfered with recreational and boating activities. The buoy‐less method also reduced gear loss due to drift when masses of floating aquatic vegetation would accumulate on buoys and lines, increasing the drag on the gear and pulling it downstream. Second, we adapted a D‐frame drift net system formerly employed in shallow streams to assess larval lake sturgeon dispersal for use in the deeper (&gt;8 m) Detroit River using an anchor and buoy system.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1439-0426.2011.01828.x","usgsCitation":"Roseman, E.F., Boase, J., Kennedy, G.W., Craig, J.M., and Soper, K., 2011, Adaption of egg and larvae sampling techniques for lake sturgeon and broadcast spawning fishes in a deep river: Journal of Applied Ichthyology, v. 27, no. S2, p. 89-92, https://doi.org/10.1111/j.1439-0426.2011.01828.x.","productDescription":"4 p.","startPage":"89","endPage":"92","ipdsId":"IP-025416","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":270635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario","otherGeospatial":"Detroit River, Lake Erie, Lake Huron, Lake St. Clair","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.24444305889988,\n              41.98407822539474\n            ],\n            [\n              -83.20292888285584,\n              41.97662912271019\n            ],\n            [\n              -82.99822104926145,\n              42.02343757700308\n            ],\n        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0000-0003-1686-6960 gkennedy@usgs.gov","orcid":"https://orcid.org/0000-0003-1686-6960","contributorId":3700,"corporation":false,"usgs":true,"family":"Kennedy","given":"Gregory","email":"gkennedy@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":474467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Craig, Jaquelyn M. 0000-0002-7601-8616 jcraig@usgs.gov","orcid":"https://orcid.org/0000-0002-7601-8616","contributorId":190252,"corporation":false,"usgs":true,"family":"Craig","given":"Jaquelyn","email":"jcraig@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":474466,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soper, Karen","contributorId":10695,"corporation":false,"usgs":true,"family":"Soper","given":"Karen","email":"","affiliations":[],"preferred":false,"id":474468,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044842,"text":"70044842 - 2011 - Mountain-block recharge, present and past, in the eastern Espanola Basin, New Mexico, USA","interactions":[],"lastModifiedDate":"2018-03-29T12:58:21","indexId":"70044842","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Mountain-block recharge, present and past, in the eastern Española Basin, New Mexico, USA","title":"Mountain-block recharge, present and past, in the eastern Espanola Basin, New Mexico, USA","docAbstract":"<p><span>Noble gas recharge temperatures (NGTs) and radiocarbon ages were determined for 43 groundwater samples collected in the eastern Española Basin, New Mexico (USA), to identify mountain-block recharge in waters &lt;10 thousand years (ka) old and to evaluate possible changes in mountain-block recharge over the past ∼35&nbsp;ka. For Holocene samples from the southeastern area, NGTs are dominantly 2–4° cooler than the measured water-table temperature near the mountain front. Computed minimum mountain-block recharge fractions are dominantly 0.2–0.5, consistent with previous large mountain-block recharge estimates. NGTs do not display the distinct low during the last glacial maximum observed in other paleorecharge studies; samples recharged 15–25&nbsp;ka ago are on average only 1.3° cooler than Holocene samples. Instead, samples with the coldest NGTs were recharged 25–35&nbsp;ka ago. A proposed explanation is that higher precipitation rates during the last glacial maximum resulted in a lower mean recharge elevation for the basin, essentially buffering the effect of the lower mean annual air temperature and producing NGTs similar to the Holocene. In the period preceding the last glacial maximum, precipitation rates more like today’s resulted in Holocene-like mountain-block recharge fractions, producing a mean NGT ∼5° cooler than the Holocene, as expected.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-010-0696-8","usgsCitation":"Manning, A.H., 2011, Mountain-block recharge, present and past, in the eastern Espanola Basin, New Mexico, USA: Hydrogeology Journal, v. 19, no. 2, p. 379-397, https://doi.org/10.1007/s10040-010-0696-8.","productDescription":"19 p.","startPage":"379","endPage":"397","additionalOnlineFiles":"N","ipdsId":"IP-021349","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":351867,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Española","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.124496,35.658970 ], [ -106.124496,36.021891 ], [ -105.884857,36.021891 ], [ -105.884857,35.658970 ], [ -106.124496,35.658970 ] ] ] } } ] }","volume":"19","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-02-05","publicationStatus":"PW","scienceBaseUri":"5163e6e9e4b0b7010f820176","contributors":{"authors":[{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476393,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044509,"text":"70044509 - 2011 - Measurement of net nitrogen and phosphorus mineralization in wetland soils using a modification of the resin-core technique","interactions":[],"lastModifiedDate":"2013-03-12T10:58:54","indexId":"70044509","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Measurement of net nitrogen and phosphorus mineralization in wetland soils using a modification of the resin-core technique","docAbstract":"A modification of the resin-core method was developed and tested for measuring in situ soil N and P net mineralization rates in wetland soils where temporal variation in bidirectional vertical water movement and saturation can complicate measurement. The modified design includes three mixed-bed ion-exchange resin bags located above and three resin bags located below soil incubating inside a core tube. The two inner resin bags adjacent to the soil capture NH<sub>4</sub><sup>+</sup>, NO<sub>3</sub><sup>-</sup>, and soluble reactive phosphorus (SRP) transported out of the soil during incubation; the two outer resin bags remove inorganic nutrients transported into the modified resin core; and the two middle resin bags serve as quality-control checks on the function of the inner and outer resin bags. Modified resin cores were incubated monthly for a year along the hydrogeomorphic gradient through a floodplain wetland. Only small amounts of NH<sub>4</sub><sup>+</sup>, NO<sub>3</sub><sup>-<sup>, and SRP were found in the two middle resin bags, indicating that the modified resin-core design was effective. Soil moisture and pH inside the modified resin cores typically tracked changes in the surrounding soil abiotic environment. In contrast, use of the closed polyethylene bag method provided substantially different net P and N mineralization rates than modified resin cores and did not track changes in soil moisture or pH. Net ammonification, nitrifi cation, N mineralization, and P mineralization rates measured using modified resin cores varied through space and time associated with hydrologic, geomorphic, and climatic gradients in the floodplain wetland. The modified resin-core technique successfully characterized spatiotemporal variation of net mineralization fluxes in situ and is a viable technique for assessing soil nutrient availability and developing ecosystem budgets.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biogeochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Soil Science Society of America","publisherLocation":"Madison, WI","doi":"10.2136/sssaj2010.0289","usgsCitation":"Noe, G., 2011, Measurement of net nitrogen and phosphorus mineralization in wetland soils using a modification of the resin-core technique: Biogeochemistry, v. 75, no. 2, p. 760-770, https://doi.org/10.2136/sssaj2010.0289.","productDescription":"5 p.","startPage":"760","endPage":"770","numberOfPages":"5","additionalOnlineFiles":"N","ipdsId":"IP-018892","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":269134,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2136/sssaj2010.0289"},{"id":269135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"75","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51404e7fe4b089809dbf4482","contributors":{"authors":[{"text":"Noe, Gregory B.","contributorId":77805,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory B.","affiliations":[],"preferred":false,"id":475774,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044482,"text":"70044482 - 2011 - U.S. Geological Survey:   A synopsis of Three-dimensional Modeling","interactions":[],"lastModifiedDate":"2013-06-04T11:47:27","indexId":"70044482","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"U.S. Geological Survey:   A synopsis of Three-dimensional Modeling","docAbstract":"The U.S. Geological Survey (USGS) is a multidisciplinary agency that provides assessments of natural resources (geological, hydrological, biological), the disturbances that affect those resources, and the disturbances that affect the built environment, natural landscapes, and human society. Until now, USGS map products have been generated and distributed primarily as 2-D maps, occasionally providing cross sections or overlays, but rarely allowing the ability to characterize and understand 3-D systems, how they change over time (4-D), and how they interact. And yet, technological advances in monitoring natural resources and the environment, the ever-increasing diversity of information needed for holistic assessments, and the intrinsic 3-D/4-D nature of the information obtained increases our need to generate, verify, analyze, interpret, confirm, store, and distribute its scientific information and products using 3-D/4-D visualization, analysis, modeling tools, and information frameworks. Today, USGS scientists use 3-D/4-D tools to (1) visualize and interpret geological information, (2) verify the data, and (3) verify their interpretations and models. 3-D/4-D visualization can be a powerful quality control tool in the analysis of large, multidimensional data sets. USGS scientists use 3-D/4-D technology for 3-D surface (i.e., 2.5-D) visualization as well as for 3-D volumetric analyses. Examples of geological mapping in 3-D include characterization of the subsurface for resource assessments, such as aquifer characterization in the central United States, and for input into process models, such as seismic hazards in the western United States.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Chapter 13 in <i>Synopsis of Current Three-dimensional Geological Mapping  and Modeling in Geological Survey Organizations</i>","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Illinois State Geological Survey","usgsCitation":"Jacobsen, L.J., Glynn, P.D., Phelps, G.A., Orndorff, R.C., Bawden, G.W., and Grauch, V.J., 2011, U.S. Geological Survey:   A synopsis of Three-dimensional Modeling, chap. <i>of</i> Chapter 13 in <i>Synopsis of Current Three-dimensional Geological Mapping  and Modeling in Geological Survey Organizations</i>, p. 69-79.","productDescription":"11 p.","startPage":"69","endPage":"79","ipdsId":"IP-024495","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":273203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273202,"type":{"id":11,"text":"Document"},"url":"https://water.usgs.gov/nrp/proj.bib/Publications/2011/jacobsen_glynn_etal_2011.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51af0c72e4b08a3322c2c372","contributors":{"authors":[{"text":"Jacobsen, Linda J.","contributorId":9159,"corporation":false,"usgs":true,"family":"Jacobsen","given":"Linda","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":475706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glynn, Pierre D. 0000-0001-8804-7003 pglynn@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7003","contributorId":2141,"corporation":false,"usgs":true,"family":"Glynn","given":"Pierre","email":"pglynn@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Phelps, Geoff A.","contributorId":59328,"corporation":false,"usgs":true,"family":"Phelps","given":"Geoff","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":475708,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":475705,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bawden, Gerald W. gbawden@usgs.gov","contributorId":1071,"corporation":false,"usgs":true,"family":"Bawden","given":"Gerald","email":"gbawden@usgs.gov","middleInitial":"W.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475703,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grauch, V. J. S. 0000-0002-0761-3489","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":34125,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"","middleInitial":"J. S.","affiliations":[],"preferred":false,"id":475707,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70043293,"text":"70043293 - 2011 - On the terminology of the spectral vegetation index (NIR – SWIR)/(NIR + SWIR)","interactions":[],"lastModifiedDate":"2013-04-30T14:11:09","indexId":"70043293","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"On the terminology of the spectral vegetation index (NIR – SWIR)/(NIR + SWIR)","docAbstract":"The spectral vegetation index (&rho;NIR – &rho;SWIR)/(&rho;NIR + &rho;SWIR), where &rho;NIR and &rho;SWIR are the near-infrared (NIR) and shortwave-infrared (SWIR) reflectances, respectively, has been widely used to indicate vegetation moisture condition. This index has multiple names in the literature, including infrared index (II), normalized difference infrared index (NDII), normalized difference water index (NDWI), normalized difference moisture index (NDMI), land surface water index (LSWI), and normalized burn ratio (NBR), etc. After reviewing each term’s definition, associated sensors, and channel specifications, we found that the index consists of three variants, differing only in the SWIR region (1.2–1.3 µm, 1.55–1.75 µm, or 2.05–2.45 µm). Thus, three terms are sufficient to represent these three SWIR variants; other names are redundant and therefore unnecessary. Considering the spectral representativeness, the term’s popularity, and the “rule of priority” in scientific nomenclature, NDWI, NDII, and NBR, each corresponding to the three SWIR regions, are more preferable terms.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2010.510811","usgsCitation":"Ji, L., Zhang, L., Wylie, B.K., and Rover, J.R., 2011, On the terminology of the spectral vegetation index (NIR – SWIR)/(NIR + SWIR): International Journal of Remote Sensing, v. 32, no. 21, p. 6901-6909, https://doi.org/10.1080/01431161.2010.510811.","productDescription":"9 p.","startPage":"6901","endPage":"6909","numberOfPages":"9","additionalOnlineFiles":"N","ipdsId":"IP-022003","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":271677,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271676,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2010.510811"}],"volume":"32","issue":"21","noUsgsAuthors":false,"publicationDate":"2011-09-26","publicationStatus":"PW","scienceBaseUri":"5180e7eae4b0df838b924d84","contributors":{"authors":[{"text":"Ji, Lel","contributorId":98609,"corporation":false,"usgs":true,"family":"Ji","given":"Lel","email":"","affiliations":[],"preferred":false,"id":473312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Li","contributorId":98139,"corporation":false,"usgs":true,"family":"Zhang","given":"Li","affiliations":[],"preferred":false,"id":473311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473309,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":473310,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193119,"text":"70193119 - 2011 - Groundwater conditions in Utah, spring of 2011","interactions":[],"lastModifiedDate":"2019-05-22T09:23:49","indexId":"70193119","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":110,"text":"Cooperative Investigations Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"52","title":"Groundwater conditions in Utah, spring of 2011","docAbstract":"<p>This is the forty-eighth in a series of annual reports that describe groundwater conditions in Utah. Reports in this series, published cooperatively by the U.S. Geological Survey and the Utah Department of Natural Resources, Division of Water Rights, and the Utah Department of Environmental Quality, Division of Water Quality, provide data to enable interested parties to maintain awareness of changing groundwater conditions. </p><p>This report, like the others in the series, contains information on well construction, groundwater withdrawal from wells, water-level changes, precipitation, streamflow, and chemical quality of water. Information on well construction included in this report refers only to wells constructed for new appropriations of groundwater. Supplementary data are included in reports of this series only for those years or areas that are important to a discussion of changing groundwater conditions and for which applicable data are available.</p><p>This report includes individual discussions of selected significant areas of groundwater development in the State for calendar year 2010. Most of the reported data were collected by the U.S. Geological Survey in cooperation with the Utah Department of Natural Resources, Division of Water Rights, and the Utah Department of Environmental Quality, Division of Water Quality. This report is also available online at http:// www.waterrights.utah.gov/techinfo/ and http://ut.water.usgs. gov/publications/GW2011.pdf. Groundwater conditions in Utah for calendar year 2009 are reported in Burden and others (2010) and available online at http://ut.water.usgs.gov/ publications/GW2010.pdf.</p><p>Analytical results associated with water samples collected from each area of groundwater development were compared to State of Utah Maximum Contaminant Levels (MCLs) and secondary drinking-water standards of routinely measureable substances present in water supplies. The MCLs and secondary drinking-water standards can be accessed online at http://www.rules.utah.gov/publicat/code/r309/r309-200. htm#T5. The U.S. Environmental Protection Agency (EPA) drinking-water standards can be accessed at http://www.epa. gov/safewater/mcl.html#mcls. Maximum Contaminant Levels and secondary drinking-water standards were developed for public water systems and do not apply to the majority of wells sampled during this study.</p>","language":"English","publisher":"Utah Department of Natural Resources","usgsCitation":"Burden, C.B., 2011, Groundwater conditions in Utah, spring of 2011: Cooperative Investigations Report 52, x, 118 p.","productDescription":"x, 118 p.","numberOfPages":"132","ipdsId":"IP-036355","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":350084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364081,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://waterrights.utah.gov/techinfo/wwwpub/GW2011.pdf"}],"country":"United 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 \"}}]}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6107fde4b06e28e9c2563a","contributors":{"authors":[{"text":"Burden, Carole B. cburden@usgs.gov","contributorId":852,"corporation":false,"usgs":true,"family":"Burden","given":"Carole","email":"cburden@usgs.gov","middleInitial":"B.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":718033,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70192960,"text":"70192960 - 2011 - Alteration of streamflow magnitudes and potential ecological consequences: A multiregional assessment","interactions":[],"lastModifiedDate":"2017-11-12T18:19:15","indexId":"70192960","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Alteration of streamflow magnitudes and potential ecological consequences: A multiregional assessment","docAbstract":"<p>Human impacts on watershed hydrology are widespread in the US, but the prevalence and severity of stream-flow alteration and its potential ecological consequences have not been quantified on a national scale. We assessed streamflow alteration at 2888 streamflow monitoring sites throughout the conterminous US. The magnitudes of mean annual (1980–2007) minimum and maximum streamflows were found to have been altered in 86% of assessed streams. The occurrence, type, and severity of streamflow alteration differed markedly between arid and wet climates. Biological assessments conducted on a subset of these streams showed that, relative to eight chemical and physical covariates, diminished flow magnitudes were the primary predictors of biological integrity for fish and macroinvertebrate communities. In addition, the likelihood of biological impairment doubled with increasing severity of diminished streamflows. Among streams with diminished flow magnitudes, increasingly common fish and macroinvertebrate taxa possessed traits characteristic of lake or pond habitats, including a preference for fine-grained substrates and slow-moving currents, as well as the ability to temporarily leave the aquatic environment.</p>","language":"English","publisher":"Wiley","doi":"10.1890/100053","usgsCitation":"Carlisle, D.M., Wolock, D.M., and Meador, M.R., 2011, Alteration of streamflow magnitudes and potential ecological consequences: A multiregional assessment: Frontiers in Ecology and the Environment, v. 9, no. 5, p. 264-270, https://doi.org/10.1890/100053.","productDescription":"7 p.","startPage":"264","endPage":"270","ipdsId":"IP-011791","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":488747,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/1236389","text":"External Repository"},{"id":348635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2010-10-25","publicationStatus":"PW","scienceBaseUri":"5a096bb3e4b09af898c94153","contributors":{"authors":[{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":717444,"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":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":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":717445,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meador, Michael R. 0000-0001-5956-3340 mrmeador@usgs.gov","orcid":"https://orcid.org/0000-0001-5956-3340","contributorId":195592,"corporation":false,"usgs":true,"family":"Meador","given":"Michael","email":"mrmeador@usgs.gov","middleInitial":"R.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":717446,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193014,"text":"70193014 - 2011 - The LANDFIRE Total Fuel Change Tool (ToFuΔ) user’s guide","interactions":[],"lastModifiedDate":"2018-04-23T09:16:30","indexId":"70193014","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"The LANDFIRE Total Fuel Change Tool (ToFuΔ) user’s guide","docAbstract":"<p>LANDFIRE fuel data were originally developed from coarse-scale existing vegetation type, existing vegetation cover, existing vegetation height, and biophysical setting layers. Fire and fuel specialists from across the country provided input to the original LANDFIRE National (LF_1.0.0) fuel layers to help calibrate fuel characteristics on a more localized scale. The LANDFIRE Total Fuel Change Tool (ToFu∆) was developed from this calibration process. </p><p>Vegetation is subject to constant change – and fuels are therefore also dynamic, necessitating a systematic method for reflecting changes spatially so that fire behavior can be accurately accessed. ToFuΔ allows local experts to quickly produce maps that spatially display any proposed fuel characteristics changes. </p><p>ToFu∆ works through a Microsoft Access database to produce spatial results in ArcMap based on rule sets devised by the user that take into account the existing vegetation type (EVT), existing vegetation cover (EVC), existing vegetation height (EVH), and biophysical setting (BpS) from the LANDFIRE grid data. There are also options within ToFu∆ to add discrete variables in grid format through use of the wildcard option and for subdividing specific areas for different fuel characteristic assignments through the BpS grid. </p><p>The ToFu∆ user determines the size of the area for assessment by defining a Management Unit, or “MU.” User-defined rule sets made up of EVT, EVC, EVH, and BpS layers, as well as any wildcard selections, are used to change or refine fuel characteristics within the MU. Once these changes have been made to the fuel characteristics, new grids are created for fire behavior analysis or planning. These grids represent the most common ToFu∆ output. </p><p>ToFuΔ is currently under development and will continue to be updated in the future. The current beta version (0.12), released in March 2011, is compatible with Windows 7 and will be the last release until the fall of 2011.</p>","language":"English","publisher":"The National Interagency Fuels, Fire, & Vegetation Technology Transfer","usgsCitation":"Smail, T., Martin, C., and Napoli, J., 2011, The LANDFIRE Total Fuel Change Tool (ToFuΔ) user’s guide, 113 p.","productDescription":"113 p.","ipdsId":"IP-028229","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":350123,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350122,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.frames.gov/files/2413/3347/9996/LFTFC_Users_Guide.pdf"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6107fde4b06e28e9c2563c","contributors":{"authors":[{"text":"Smail, Tobin tsmail@usgs.gov","contributorId":3408,"corporation":false,"usgs":true,"family":"Smail","given":"Tobin","email":"tsmail@usgs.gov","affiliations":[],"preferred":true,"id":717654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Charley chmartin@usgs.gov","contributorId":4544,"corporation":false,"usgs":true,"family":"Martin","given":"Charley","email":"chmartin@usgs.gov","affiliations":[],"preferred":true,"id":717653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Napoli, Jim","contributorId":198933,"corporation":false,"usgs":false,"family":"Napoli","given":"Jim","affiliations":[],"preferred":false,"id":717655,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193109,"text":"70193109 - 2011 - Ground motion attenuation during M 7.1 Darfield and M 6.2 Christchurch, New Zealand, earthquakes and performance of global predictive models","interactions":[],"lastModifiedDate":"2019-08-02T10:11:02","indexId":"70193109","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Ground motion attenuation during M 7.1 Darfield and M 6.2 Christchurch, New Zealand, earthquakes and performance of global predictive models","docAbstract":"<p id=\"p-1\">The M 7.1 Darfield earthquake occurred 40 km west of Christchurch (New Zealand) on 4 September 2010. Six months after, the city was struck again with an M 6.2 event on 22 February local time (21 February UTC). These events resulted in significant damage to infrastructure in the city and its suburbs. The purpose of this study is to evaluate the performance of global predictive models (GMPEs) using the strong motion data obtained from these two events to improve future seismic hazard assessment and building code provisions for the Canterbury region.</p><p id=\"p-2\">The Canterbury region is located on the boundary between the Pacific and Australian plates; its surface expression is the active right lateral Alpine fault (Berryman et al. 1993). Beneath the North Island and the north South Island, the Pacific plate subducts obliquely under the Australian plate, while at the southwestern part of the South Island, a reverse process takes place. Although New Zealand has experienced several major earthquakes in the past as a result of its complex seismotectonic environment (<i>e.g.</i>, M 7.1 1888 North Canterbury, M 7.0 1929 Arthur's Pass, and M 6.2 1995 Cass), there was no evidence of prior seismic activity in Christchurch and its surroundings before the September event. The Darfield and Christchurch earthquakes occurred along the previously unmapped Greendale fault in the Canterbury basin, which is covered by Quaternary alluvial deposits (Forsyth et al. 2008). In Figure 1, site conditions of the Canterbury epicentral area are depicted on a<span>&nbsp;</span><i>V<sub>S</sub></i><sub>30</sub><span>&nbsp;</span>map. This map was determined on the basis of topographic slope calculated from a 1-km grid using the method of Allen and Wald (2007). Also shown are the locations of strong motion stations.</p><p id=\"p-3\">The Darfield event was generated as a result of a complex rupture mechanism; the recordings and geodetic data reveal that earthquake consists of three sub-events (Barnhart et al. 201<a id=\"xref-ref-3-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/82/6/866#ref-3\" data-mce-href=\"http://srl.geoscienceworld.org/content/82/6/866#ref-3\">1</a>, page 815 of this issue). The first event was due to rupturing of a blind reverse fault with M 6.2, followed by a second event (M 6.9), releasing the largest portion of the energy on the right-lateral Greendale fault. The third sub-event (M 5.7) is due to a reverse fault with a right-lateral component (Holden et al. 2011). The Christchurch earthquake occurred on an oblique thrust fault. The comparison of spectral acceleration values at stations near Christchurch reveals that the second event produced much larger amplitudes of shaking than the Darfield event due to its proximity to the epicenter. Both events resulted in noticeably large amplitudes of the vertical motion, often exceeding horizontal motion in the near-fault area. The vertical motions, showing asymmetric acceleration traces and pulses, reached 1.26 g during the Darfield earthquake and 2.2 g during the Christchurch event. These events were recorded by more than 100 strong motion stations operated by the Institute of Geological and Nuclear Sciences (http://www.geonet.org.nz/). Using the processed data from these stations, peak ground acceleration (PGA) and 5%-damped spectral acceleration values at 0.3, 1, and 3 s are used for performance evaluation of the global ground motion predictive equations (GMPEs). The selected GMPEs are the Next Generation Attenuation (NGA) models of Abrahamson and Silva (2008), Boore and Atkinson (2008), Campbell and Bozorgnia (2008), and Chiou and Youngs (2008). The Graizer and Kalkan (2007, 2009) model, which is based on the NGA project database, is also included. These GMPEs are abbreviated respectively as AS08, BA08, CB08, CY08, and GK07. Because they have been used widely for seismic hazard analysis for crustal earthquakes, their performance assessment becomes a critical issue especially for immediate response and recovery planning after major events. The occurrence of aftershocks similar to the Christchurch event will most probably control seismic hazard in the broader area, as confirmed by the recent M 6.0 event on June 13, 2011.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/gssrl.82.6.866","usgsCitation":"Segou, M., and Kalkan, E., 2011, Ground motion attenuation during M 7.1 Darfield and M 6.2 Christchurch, New Zealand, earthquakes and performance of global predictive models: Seismological Research Letters, v. 82, no. 6, p. 866-874, https://doi.org/10.1785/gssrl.82.6.866.","productDescription":"9 p.","startPage":"866","endPage":"874","ipdsId":"IP-032577","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","city":"Christchurch, Darfield","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              170.5,\n              -45\n            ],\n            [\n              173.5,\n              -45\n            ],\n            [\n              173.5,\n              -42\n            ],\n            [\n              170.5,\n              -42\n            ],\n            [\n              170.5,\n              -45\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"82","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2011-11-01","publicationStatus":"PW","scienceBaseUri":"59f98bc2e4b0531197afa08c","contributors":{"authors":[{"text":"Segou, Margaret","contributorId":140800,"corporation":false,"usgs":false,"family":"Segou","given":"Margaret","email":"","affiliations":[{"id":13572,"text":"Geoscience Azur","active":true,"usgs":false}],"preferred":false,"id":718213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kalkan, Erol 0000-0002-9138-9407 ekalkan@usgs.gov","orcid":"https://orcid.org/0000-0002-9138-9407","contributorId":1218,"corporation":false,"usgs":true,"family":"Kalkan","given":"Erol","email":"ekalkan@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":718214,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040253,"text":"70040253 - 2011 - Informal trail monitoring protocols: Denali National Park and Preserve. Final Report, October 2011","interactions":[],"lastModifiedDate":"2016-12-06T13:39:16","indexId":"70040253","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Informal trail monitoring protocols: Denali National Park and Preserve. Final Report, October 2011","docAbstract":"Managers at Alaska?s Denali National Park and Preserve (DENA) sponsored this research to assess and monitor visitor-created informal trails (ITs). DENA is located in south-central Alaska and managed as a six million acre wilderness park. This program of research was guided by the following objectives: (1) Investigate alternative methods for monitoring the spatial distribution, aggregate lineal extent, and tread conditions of informal (visitor-created) trails within the park. (2) In consultation with park staff, develop, pilot test, and refine cost-effective and scientifically defensible trail monitoring procedures that are fully integrated with the park?s Geographic Information System. (3) Prepare a technical report that compiles and presents research results and their management implications. This report presents the protocol development and field testing process, illustrates the types of data produced by their application, and provides guidance for their application and use. The protocols described provide managers with an efficient means to document and monitor IT conditions in settings ranging from pristine to intensively visited.","language":"English","publisher":"Virginia Tech College of Natural Resources & Environment","publisherLocation":"Blacksburg, VA","usgsCitation":"Marion, J.L., and Wimpey, J.F., 2011, Informal trail monitoring protocols: Denali National Park and Preserve. Final Report, October 2011, iv, 92 p.","productDescription":"iv, 92 p.","ipdsId":"IP-032953","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":331573,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5847dc7fe4b06d80b7af6ab7","contributors":{"authors":[{"text":"Marion, Jeffrey L.","contributorId":56322,"corporation":false,"usgs":true,"family":"Marion","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":654989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wimpey, Jeremy F.","contributorId":83769,"corporation":false,"usgs":true,"family":"Wimpey","given":"Jeremy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":654990,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70188858,"text":"70188858 - 2011 - Stratigraphy and chronology of offshore to nearshore deposits associated with the Provo shoreline, Pleistocene Lake Bonneville, Utah","interactions":[],"lastModifiedDate":"2017-06-27T10:16:13","indexId":"70188858","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Stratigraphy and chronology of offshore to nearshore deposits associated with the Provo shoreline, Pleistocene Lake Bonneville, Utah","docAbstract":"<p><span>Stratigraphic descriptions and radiocarbon data from eleven field locations are presented in this paper to establish a chronostratigraphic framework for offshore to nearshore deposits of Lake Bonneville. Based on key marker beds and geomorphic position, the deposits are interpreted to have accumulated during the period from the late transgressive phase, through the overflowing phase, into the regressive phase of the lake. Radiocarbon ages of sediments associated with the Provo shoreline indicate that Lake Bonneville dropped rapidly from the Provo shoreline at about 12,600 </span><sup>14</sup><span>C yr BP (15,000 cal yr B.P.). The presence of one or more sand beds in the upper part of the Provo-aged marl indicates rapid lowering of lake level or storm events at the end of the Provo episode. An accurate understanding of the timing and nature of Lake Bonneville's climate-driven regression from the Provo shoreline is critical to correlations with records of regional and hemispheric climate change. The rapid descent of the lake from the Provo shoreline correlates with the decline of Lakes Lahontan and Estancia, and with the onset of the B</span><span class=\"small-caps\">Ø</span><span>lling–Aller</span><span class=\"small-caps\">Ø</span><span>d warming event.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2011.08.005","usgsCitation":"Godsey, H.S., Oviatt, C., Miller, D.M., and Chan, M.A., 2011, Stratigraphy and chronology of offshore to nearshore deposits associated with the Provo shoreline, Pleistocene Lake Bonneville, Utah: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 310, no. 3-4, p. 442-450, https://doi.org/10.1016/j.palaeo.2011.08.005.","productDescription":"9 p.","startPage":"442","endPage":"450","ipdsId":"IP-033313","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":342951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Pleistocene Lake Bonneville","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.0380859375,\n              38\n            ],\n            [\n              -111.5,\n              38\n            ],\n            [\n              -111.5,\n              42.22851735620852\n            ],\n            [\n              -114.0380859375,\n              42.22851735620852\n            ],\n            [\n              -114.0380859375,\n              38\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"310","issue":"3-4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536edee4b062508e3c7b05","contributors":{"authors":[{"text":"Godsey, Holly S.","contributorId":193520,"corporation":false,"usgs":false,"family":"Godsey","given":"Holly","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":700883,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oviatt, Charles G.","contributorId":13503,"corporation":false,"usgs":true,"family":"Oviatt","given":"Charles G.","affiliations":[],"preferred":false,"id":700884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140766,"corporation":false,"usgs":true,"family":"Miller","given":"David","email":"dmiller@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":700885,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chan, Marjorie A.","contributorId":66230,"corporation":false,"usgs":true,"family":"Chan","given":"Marjorie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":700886,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193390,"text":"70193390 - 2011 - Status and management of moose in the northeastern United States","interactions":[],"lastModifiedDate":"2017-11-16T11:24:46","indexId":"70193390","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":693,"text":"Alces","active":true,"publicationSubtype":{"id":10}},"title":"Status and management of moose in the northeastern United States","docAbstract":"<p>Moose (Alces alces) populations have recolonized much of their historic range in the northeastern United States in the past 30 years, with their southern range edge extending to southern New England and northern New York. This southerly expansion occurred when certain other populations in the United States were in decline along the southern range edge, with climate change often cited as a probable cause. The areas that moose have recently occupied in the northeastern United States are some of the most densely human populated in moose range, which has raised concern about human safety and moose-vehicle collisions (MVC). We conducted a literature search about moose in the northeastern United States, and distributed a questionnaire and conducted phone interviews with regional biologists responsible for moose management to determine the status of moose, management activity, and research deficiencies and needs. Moose numbers appear stable throughout much of the region, with slow population growth in northern New York. Management activity ranges from regulated harvest of moose in Maine, New Hampshire, and Vermont, to no active management in southern New England and New York. The combined annual harvest in Maine, New Hampshire, and Vermont is &gt;3,000. MVCs are a widespread regional concern with &gt;1,000 occurring annually involving several human fatalities. Research should address impacts of parasitism by winter tick (Dermacentor albipictus) and brain-worm (Parelaphostrongylus tenuis) on productivity and mortality of moose, influence of climate change on population dynamics and range, and conflicts in areas with high human population density. </p>","language":"English","publisher":"Alces","usgsCitation":"Wattles, D.W., and DeStefano, S., 2011, Status and management of moose in the northeastern United States: Alces, v. 47, p. 53-68.","productDescription":"16 p.","startPage":"53","endPage":"68","ipdsId":"IP-024172","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70193335,"text":"70193335 - 2011 - Coluber (= Masticophis) flagellum piceus (Red Racer). Arboreal/nocturnal behavior","interactions":[],"lastModifiedDate":"2017-10-31T15:42:45","indexId":"70193335","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"displayTitle":"<i>Coluber</i> (= <i>Masticophis</i>) <i>flagellum piceus</i> (Red Racer). Arboreal/nocturnal behavior","title":"Coluber (= Masticophis) flagellum piceus (Red Racer). Arboreal/nocturnal behavior","docAbstract":"<p>Many species of snakes display arboreal behavior and are often found in vegetation many meters above ground. Mojave Desert snake species rarely get very far above the ground surface and are perhaps limited by predominantly low growing vegetation. <i>Coluber flagellum piceus</i> is considered strictly diurnal and although may ascend vegetation while active, is thought to retreat to subterranean refugia at night. Werler and Dixon (2000. Texas Snakes: Identification, Distribution, and Natural History. University of Texas Press, Austin. 437 pp.) stated “The western coachwhip is active above ground only during daylight hours. It almost invariably retires to depths of an animal burrow before sundown, where it spends the night.” The normal morning activity period for <i>C. flagellum</i> appears to be from approximately 0700–1000 h from June through September (Jones and Whitford 1989. Southwest. Nat. 34:460–467). Secor and Nagy (1994. Ecology 75:1600–1614), and Secor (1995. Herpetol. Monogr. 9:169–186) determined that the average body temperature for active above ground activity of <i>C. flagellum</i> was (33.1°C + 0.1°C, range of 24.0°C–40.8°C, N = 502), stating that coachwhip snakes were seldom active on the surface with body temperatures below 28°C. Here, I report a <i>C. f. piceus</i> that apparently spent the night draped in a Creosote Bush (<i>Larrea tridentata</i>).</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Medica, P.A., 2011, Coluber (= Masticophis) flagellum piceus (Red Racer). Arboreal/nocturnal behavior: Herpetological Review, v. 42, no. 4, p. 612-613.","productDescription":"2 p.","startPage":"612","endPage":"613","ipdsId":"IP-025476","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":347921,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347914,"type":{"id":15,"text":"Index Page"},"url":"https://ssarherps.org/herpetological-review-pdfs/"}],"country":"United States","state":"Nevada","county":"Clark County","volume":"42","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f98bc2e4b0531197afa089","contributors":{"authors":[{"text":"Medica, Phil A. 0000-0002-5901-8841 pmedica@usgs.gov","orcid":"https://orcid.org/0000-0002-5901-8841","contributorId":3226,"corporation":false,"usgs":true,"family":"Medica","given":"Phil","email":"pmedica@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":718733,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70262853,"text":"70262853 - 2011 - Geology and petroleum potential of the Eurasia Basin","interactions":[],"lastModifiedDate":"2025-01-27T16:18:28.209783","indexId":"70262853","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Geology and petroleum potential of the Eurasia Basin","docAbstract":"<p><span>The Eurasia Basin petroleum province comprises the younger, eastern half of the Arctic Ocean, including the Cenozoic Eurasia Basin and the outboard part of the continental margin of northern Europe. For the USGS petroleum assessment (CARA), it was divided into four assessment units (AUs): the Lena Prodelta AU, consisting of the deep-marine part of the Lena Delta; the Nansen Basin Margin AU, comprising the passive margin sequence of the Eurasian plate; and the Amundsen Basin and Nansen Basin AUs which encompass the abyssal plains north and south of the Gakkel Ridge spreading centre, respectively. The primary petroleum system thought to be present is sourced in&nbsp;</span><i>c</i><span>. 50–44 Ma (Early to Middle Eocene) condensed pelagic deposits that could be widespread in the province. Mean estimates of undiscovered, technically recoverable petroleum resources include &lt;1 billion barrels of oil (BBO) and about 1.4 trillion cubic feet (TCF) of nonassociated gas in Lena Prodelta AU, and &lt;0.4 BBO and 3.4 TCF nonassociated gas in the Nansen Basin Margin AU. The Nansen Basin and Amundsen Basin AUs were not quantitatively assessed because they have less than 10% probability of containing at least one accumulation of 50 MMBOE (million barrels of oil equivalent).</span></p>","largerWorkType":{"id":5,"text":"Book chapter"},"largerWorkTitle":"Arctic petroleum geology","largerWorkSubtype":{"id":24,"text":"Book Chapter"},"language":"English","publisher":"Geological Society of London","doi":"10.1144/M35.48","usgsCitation":"Moore, T., and Pitman, J., 2011, Geology and petroleum potential of the Eurasia Basin, chap. <i>of</i> Arctic petroleum geology, p. 731-750, https://doi.org/10.1144/M35.48.","productDescription":"20 p.","startPage":"731","endPage":"750","ipdsId":"IP-021868","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2011-08-05","publicationStatus":"PW","contributors":{"editors":[{"text":"Spencer, Anthony M.","contributorId":349912,"corporation":false,"usgs":false,"family":"Spencer","given":"Anthony M.","affiliations":[],"preferred":false,"id":925174,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Embry, A.F.","contributorId":63253,"corporation":false,"usgs":true,"family":"Embry","given":"A.F.","email":"","affiliations":[],"preferred":false,"id":925175,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Gautier, Donald L. gautier@usgs.gov","contributorId":1310,"corporation":false,"usgs":true,"family":"Gautier","given":"Donald","email":"gautier@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":925176,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Stoupakova, A.V.","contributorId":41270,"corporation":false,"usgs":true,"family":"Stoupakova","given":"A.V.","email":"","affiliations":[],"preferred":false,"id":925177,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Sorenson, Kai","contributorId":11973,"corporation":false,"usgs":true,"family":"Sorenson","given":"Kai","email":"","affiliations":[],"preferred":false,"id":925178,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Moore, Thomas E.","contributorId":349876,"corporation":false,"usgs":false,"family":"Moore","given":"Thomas E.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":925019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pitman, Janet K. 0000-0002-0441-779X","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":228982,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet K.","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":925020,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032355,"text":"70032355 - 2011 - Origin of minor and trace element compositional diversity in anorthitic feldspar phenocrysts and melt inclusions from the Juan de Fuca Ridge","interactions":[],"lastModifiedDate":"2013-03-25T11:20:43","indexId":"70032355","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Origin of minor and trace element compositional diversity in anorthitic feldspar phenocrysts and melt inclusions from the Juan de Fuca Ridge","docAbstract":"Melt inclusions trapped in phenocryst phases are important primarily due to their potential of preserving a significant proportion of the diversity of magma composition prior to modification of the parent magma array during transport through the crust. The goal of this investigation was to evaluate the impact of formational and post-entrapment processes on the composition of melt inclusions hosted in high anorthite plagioclase in MORB. Our observations from three plagioclase ultra-phyric lavas from the Endeavor Segment of the Juan de Fuca Ridge document a narrow range of major elements and a dramatically greater range of minor and trace elements within most host plagioclase crystals. Observed host/inclusion partition coefficients for Ti are consistent with experimental determinations. In addition, observed values of D<sub>Ti</sub> are independent of inclusion size and inclusion TiO<sub>2</sub> content of the melt inclusion. These observations preclude significant effects from the re-homogenization process, entrapment of incompatible element boundary layers or dissolution/precipitation. The observed wide range of TiO<sub>2</sub> contents in the host feldspar, and between bands of melt inclusions within individual crystals rule out modification of TiO<sub2</sub> contents by diffusion, either pre-eruption or due to re-homogenization. However, we do observe comparatively small ranges for values of K<sub>2</sub>O and Sr compared to P<sub>2</sub>O<sub>5</sub> and TiO<sub>2</sub> in both inclusions and crystals that can be attributed to diffusive processes that occurred prior to eruption.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochemistry, Geophysics, Geosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1029/2011GC003778","issn":"15252027","usgsCitation":"Adams, D.T., Nielsen, R.L., Kent, A., and Tepley, F.J., 2011, Origin of minor and trace element compositional diversity in anorthitic feldspar phenocrysts and melt inclusions from the Juan de Fuca Ridge: Geochemistry, Geophysics, Geosystems, v. 12, no. 12, 18 p., https://doi.org/10.1029/2011GC003778.","productDescription":"18 p.","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":497373,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://admin.research-repository.uwa.edu.au/en/publications/84f8e296-ef7b-4ddd-9885-f77ea5aff6f5","text":"External Repository"},{"id":241503,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213841,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GC003778"}],"otherGeospatial":"Juan De Fuca Ridge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -130.233333,44.816667 ], [ -130.233333,48.310000 ], [ -130.100000,48.310000 ], [ -130.100000,44.816667 ], [ -130.233333,44.816667 ] ] ] } } ] }","volume":"12","issue":"12","noUsgsAuthors":false,"publicationDate":"2011-12-22","publicationStatus":"PW","scienceBaseUri":"505a70e7e4b0c8380cd7631f","contributors":{"authors":[{"text":"Adams, David T. 0000-0003-2679-2344","orcid":"https://orcid.org/0000-0003-2679-2344","contributorId":25531,"corporation":false,"usgs":true,"family":"Adams","given":"David","email":"","middleInitial":"T.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":435752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nielsen, Roger L.","contributorId":32045,"corporation":false,"usgs":true,"family":"Nielsen","given":"Roger","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":435753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kent, Adam J. R.","contributorId":99842,"corporation":false,"usgs":true,"family":"Kent","given":"Adam J. R.","affiliations":[],"preferred":false,"id":435755,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tepley, Frank J. III","contributorId":56112,"corporation":false,"usgs":true,"family":"Tepley","given":"Frank","suffix":"III","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":435754,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033996,"text":"70033996 - 2011 - A survey of bees (hymenoptera: Apoidea) of the Indiana dunes and Northwest Indiana, USA","interactions":[],"lastModifiedDate":"2013-01-29T10:16:15","indexId":"70033996","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2556,"text":"Journal of the Kansas Entomological Society","active":true,"publicationSubtype":{"id":10}},"title":"A survey of bees (hymenoptera: Apoidea) of the Indiana dunes and Northwest Indiana, USA","docAbstract":"The Indiana Dunes, and nearby natural areas in northwest Indiana, are floristically rich Midwest U.S. locales with many habitat types. We surveyed bees along a habitat gradient ranging from grasslands to forests in these locales, collecting at least 175 bee species along this gradient plus 29 additional species in other nearby habitats. About 25% of all species were from the genus <i>Lasioglossum</i> and 12% of the species were associated with sandy soils. Several bumblebee (<i>Bombus</i>) species of conservation concern that should occur in this region were not collected during our surveys. Similarity of the northwest Indiana bee fauna to other published U.S. faunas decreased about 1.3% per 100 km distance from northwest Indiana. Thirty percent of bees netted from flowers were males. Males and females differed significantly in their frequency of occurrence on different plant species. For bees collected in bowl traps, the percentage captured in fluorescent yellow traps declined and in fluorescent blue traps increased from spring to late summer. Capture rates for different bee genera varied temporally, with about a quarter of the genera being captured most frequently in late spring and a quarter in late summer. Capture rates for most genera were higher in more open than in more closed canopy habitats. The maximum number of plant species on which a single bee species was captured plateaued at 24, on average. Forty-nine percent of bee species known to occur in Indiana were found at these northwest Indiana sites. Having this relatively high proportion of the total Indiana bee fauna is consistent with Indiana Dunes existing at a biogeographic crossroads where grassland and forest biomes meet in a landscape whose climate and soils are affected by proximity to Lake Michigan. The resulting habitat, plant, edaphic, and climatic diversity likely produces the diverse bee community documented.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the Kansas Entomological Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Kansas Entomological Society","publisherLocation":"Manhattan, KS","doi":"10.2317/JKES101027.1","issn":"00228567","usgsCitation":"Grundel, R., Jean, R., Frohnapple, K., Gibbs, J., Glowacki, G., and Pavlovic, N., 2011, A survey of bees (hymenoptera: Apoidea) of the Indiana dunes and Northwest Indiana, USA: Journal of the Kansas Entomological Society, v. 84, no. 2, p. 105-138, https://doi.org/10.2317/JKES101027.1.","productDescription":"34 p.","startPage":"105","endPage":"138","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":244666,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216777,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2317/JKES101027.1"}],"country":"United States","state":"Indiana","otherGeospatial":"Indiana Dunes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.0979,37.7717 ], [ -88.0979,41.7607 ], [ -84.7847,41.7607 ], [ -84.7847,37.7717 ], [ -88.0979,37.7717 ] ] ] } } ] }","volume":"84","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e5dce4b0c8380cd46fdb","contributors":{"authors":[{"text":"Grundel, R.","contributorId":37110,"corporation":false,"usgs":true,"family":"Grundel","given":"R.","affiliations":[],"preferred":false,"id":443568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jean, R.P.","contributorId":23361,"corporation":false,"usgs":true,"family":"Jean","given":"R.P.","email":"","affiliations":[],"preferred":false,"id":443566,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frohnapple, K.J.","contributorId":13442,"corporation":false,"usgs":true,"family":"Frohnapple","given":"K.J.","affiliations":[],"preferred":false,"id":443565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gibbs, J.","contributorId":88226,"corporation":false,"usgs":true,"family":"Gibbs","given":"J.","affiliations":[],"preferred":false,"id":443569,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glowacki, G.A.","contributorId":28843,"corporation":false,"usgs":true,"family":"Glowacki","given":"G.A.","email":"","affiliations":[],"preferred":false,"id":443567,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pavlovic, N.B.","contributorId":105076,"corporation":false,"usgs":true,"family":"Pavlovic","given":"N.B.","email":"","affiliations":[],"preferred":false,"id":443570,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70044960,"text":"70044960 - 2011 - T is for taconite","interactions":[],"lastModifiedDate":"2013-06-05T10:31:45","indexId":"70044960","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":674,"text":"Aggregates Manager","active":true,"publicationSubtype":{"id":10}},"title":"T is for taconite","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aggregates Manager","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Randall Reilly Publishing","usgsCitation":"Langer, W.H., 2011, T is for taconite: Aggregates Manager, v. 16, no. 8, p. 36-36.","productDescription":"1 p.","startPage":"36","endPage":"36","ipdsId":"IP-030738","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":273299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b05deee4b030b51980130b","contributors":{"authors":[{"text":"Langer, W. H.","contributorId":44932,"corporation":false,"usgs":true,"family":"Langer","given":"W.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":476524,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044902,"text":"70044902 - 2011 - Mineral resource of the month: titanium","interactions":[],"lastModifiedDate":"2013-05-07T10:59:38","indexId":"70044902","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: titanium","docAbstract":"Titanium is hip - at least when it comes to airplanes and jewelry. Known for its high strength-to weight ratio and its resistance to corrosion, titanium and its alloys can also be found in everything from knee replacements to eyeglass frames to baseball bats to fighter planes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geosciences Institute","publisherLocation":"Alexandria, VA","usgsCitation":"Gambogi, J., 2011, Mineral resource of the month: titanium: Earth, v. 2011, no. June, p. 19-19.","productDescription":"1 p.","startPage":"19","endPage":"19","numberOfPages":"1","additionalOnlineFiles":"N","ipdsId":"IP-028950","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":270424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270420,"type":{"id":11,"text":"Document"},"url":"https://www.agiweb.org/store/library/imprint.php?id=2011_06"}],"volume":"2011","issue":"June","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515aac68e4b0105540728a4d","contributors":{"authors":[{"text":"Gambogi, Joseph 0000-0002-5719-2280 jgambogi@usgs.gov","orcid":"https://orcid.org/0000-0002-5719-2280","contributorId":4424,"corporation":false,"usgs":true,"family":"Gambogi","given":"Joseph","email":"jgambogi@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":476448,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044014,"text":"70044014 - 2011 - Earthquake casualty models within the USGS Prompt Assessment of Global Earthquakes for Response (PAGER) system","interactions":[],"lastModifiedDate":"2015-01-16T10:18:04","indexId":"70044014","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Earthquake casualty models within the USGS Prompt Assessment of Global Earthquakes for Response (PAGER) system","docAbstract":"<p><span>Since the launch of the USGS&rsquo;s Prompt Assessment of Global Earthquakes for Response (PAGER) system in fall of 2007, the time needed for the U.S. Geological Survey (USGS) to determine and comprehend the scope of any major earthquake disaster anywhere in the world has been dramatically reduced to less than 30 min. PAGER alerts consist of estimated shaking hazard from the ShakeMap system, estimates of population exposure at various shaking intensities, and a list of the most severely shaken cities in the epicentral area. These estimates help government, scientific, and relief agencies to guide their responses in the immediate aftermath of a significant earthquake. To account for wide variability and uncertainty associated with inventory, structural vulnerability and casualty data, PAGER employs three different global earthquake fatality/loss computation models. This article describes the development of the models and demonstrates the loss estimation capability for earthquakes that have occurred since 2007. The empirical model relies on country-specific earthquake loss data from past earthquakes and makes use of calibrated casualty rates for future prediction. The semi-empirical and analytical models are engineering-based and rely on complex datasets including building inventories, time-dependent population distributions within different occupancies, the vulnerability of regional building stocks, and casualty rates given structural collapse.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Human casualties in earthquakes: progress in modelling and mitigation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-90-481-9455-1_6","usgsCitation":"Jaiswal, K., Wald, D.J., Earle, P.S., Porter, K.A., and Hearne, M., 2011, Earthquake casualty models within the USGS Prompt Assessment of Global Earthquakes for Response (PAGER) system, chap. <i>of</i> Human casualties in earthquakes: progress in modelling and mitigation, v. 29, p. 83-94, https://doi.org/10.1007/978-90-481-9455-1_6.","productDescription":"12 p.","startPage":"83","endPage":"94","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-007955","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":271421,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","noUsgsAuthors":false,"publicationDate":"2010-12-08","publicationStatus":"PW","scienceBaseUri":"5178fee7e4b0d842c705f6fc","contributors":{"authors":[{"text":"Jaiswal, Kishor kjaiswal@usgs.gov","contributorId":861,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":474617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":474615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Earle, Paul S. pearle@usgs.gov","contributorId":840,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","email":"pearle@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":474613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Porter, Keith A.","contributorId":28883,"corporation":false,"usgs":true,"family":"Porter","given":"Keith","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":474616,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70036141,"text":"70036141 - 2011 - Distribution and characterization of in-channel large wood in relation to geomorphic patterns on a low-gradient river","interactions":[],"lastModifiedDate":"2019-08-27T07:59:15","indexId":"70036141","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and characterization of in-channel large wood in relation to geomorphic patterns on a low-gradient river","docAbstract":"A 177 river km georeferenced aerial survey of in-channel large wood (LW) on the lower Roanoke River, NC was conducted to determine LW dynamics and distributions on an eastern USA low-gradient large river. Results indicate a system with approximately 75% of the LW available for transport either as detached individual LW or as LW in log jams. There were approximately 55 individual LW per river km and another 59 pieces in log jams per river km. Individual LW is a product of bank erosion (73% is produced through erosion) and is isolated on the mid and upper banks at low flow. This LW does not appear to be important for either aquatic habitat or as a human risk. Log jams rest near or at water level making them a factor in bank complexity in an otherwise homogenous fine-grained channel. A segmentation test was performed using LW frequency by river km to detect breaks in longitudinal distribution and to define homogeneous reaches of LWfrequency. Homogeneous reaches were then analyzed to determine their relationship to bank height, channel width/depth, sinuosity, and gradient. Results show that log jams are a product of LW transport and occur more frequently in areas with high snag concentrations, low to intermediate bank heights, high sinuosity, high local LW recruitment rates, and narrow channel widths. The largest concentration of log jams (21.5 log jams/km) occurs in an actively eroding reach. Log jam concentrations downstream of this reach are lower due to a loss of river competency as the channel reaches sea level and the concurrent development of unvegetated mudflats separating the active channel from the floodplain forest. Substantial LW transport occurs on this low-gradient, dam-regulated large river; this study, paired with future research on transport mechanisms should provide resource managers and policymakers with options to better manage aquatic habitat while mitigating possible negative impacts to human interests.","language":"English","publisher":"Wiley","doi":"10.1002/esp.2135","issn":"01979337","usgsCitation":"Moulin, B., Schenk, E.R., and Hupp, C.R., 2011, Distribution and characterization of in-channel large wood in relation to geomorphic patterns on a low-gradient river: Earth Surface Processes and Landforms, v. 36, no. 9, p. 1137-1151, https://doi.org/10.1002/esp.2135.","productDescription":"15 p.","startPage":"1137","endPage":"1151","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":246429,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218423,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/esp.2135"}],"country":"United States","state":"North Carolina","otherGeospatial":"Roanoke River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.852088,35.807089 ], [ -77.852088,36.536505 ], [ -76.535816,36.536505 ], [ -76.535816,35.807089 ], [ -77.852088,35.807089 ] ] ] } } ] }","volume":"36","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-03-01","publicationStatus":"PW","scienceBaseUri":"505a027fe4b0c8380cd5008b","contributors":{"authors":[{"text":"Moulin, Bertrand","contributorId":80160,"corporation":false,"usgs":true,"family":"Moulin","given":"Bertrand","email":"","affiliations":[],"preferred":false,"id":454426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schenk, Edward R. 0000-0001-6886-5754 eschenk@usgs.gov","orcid":"https://orcid.org/0000-0001-6886-5754","contributorId":2183,"corporation":false,"usgs":true,"family":"Schenk","given":"Edward","email":"eschenk@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":454424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":454425,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003937,"text":"70003937 - 2011 - O is for obsidian","interactions":[],"lastModifiedDate":"2013-06-05T10:19:53","indexId":"70003937","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":674,"text":"Aggregates Manager","active":true,"publicationSubtype":{"id":10}},"title":"O is for obsidian","docAbstract":"Although a relative youngster in geologic terms, obsidian can change over time from glass to mineral.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aggregates Manager","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Randall Reilly Publishing","usgsCitation":"Langer, W.H., 2011, O is for obsidian: Aggregates Manager, v. 16, no. 2, p. 44-44.","productDescription":"1 p.","startPage":"44","endPage":"44","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":203904,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":24505,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://www.aggman.com/carved-in-stone-12/","linkFileType":{"id":5,"text":"html"}}],"volume":"16","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afce4b07f02db696610","contributors":{"authors":[{"text":"Langer, W. H.","contributorId":44932,"corporation":false,"usgs":true,"family":"Langer","given":"W.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":349608,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70192687,"text":"70192687 - 2011 - Wilcox group (Paleocene to Eocene) coals of the Sabine Uplift area, Texas and Louisiana","interactions":[],"lastModifiedDate":"2020-10-22T16:20:39.315301","indexId":"70192687","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5382,"text":"AAPG Studies in Geology","active":false,"publicationSubtype":{"id":24}},"chapter":"5","title":"Wilcox group (Paleocene to Eocene) coals of the Sabine Uplift area, Texas and Louisiana","docAbstract":"<p>The Wilcox Group (Paleocene to Eocene) of the Sabine uplift, a structural arch in northeastern Texas and northwestern Louisiana (Figure 1), has lignite zones that approach subbituminous rank (see Chapter 4, this publication). These coals are among the highest quality resources known within the Gulf Coastal Plain because of their low ash yield and sulfur content. The surface expression of the Sabine uplift is defined by the contact between coal-bearing rocks of the Wilcox Group and overlying fluvial rocks of the Carrizo Sand, which is the basal unit of the Claiborne Group (Figures 2, 3). The Sabine uplift study area includes parts of Harrison, Marion, Nacogdoches, Panola, Rusk, Sabine, San Augustine, and Shelby Counties in Texas and Bossier, Caddo, De Soto, Natchitoches, Red River, and Sabine Parishes in Louisiana (Figure 1). Adjacent counties and parishes that include the subsurface Wilcox Group extend the regional Sabine uplift area. The Wilcox in the subsurface is underlain by the Midway Group (Figure 3), a mudstone-dominated marine sequence of Paleocene age. Quaternary alluvium and terrace deposits overlying the Wilcox Group at the surface are limited to areas of modern drainage.</p><p>The total thickness of the Wilcox Group within the Sabine uplift area ranges from approximately 400 ft on outcrop to 2500 ft in subsurface (Kaiser, 1990). In a few places, the contact between the overlying Carrizo Sand and Wilcox Group is erosional, but in other places, the contact is gradational.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic assessment of coal in the Gulf of Mexico coastal plain","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Association of Petroleum Geologists","usgsCitation":"Hook, R.W., Warwick, P.D., and SanFilipo, J., 2011, Wilcox group (Paleocene to Eocene) coals of the Sabine Uplift area, Texas and Louisiana, chap. 5 <i>of</i> Geologic assessment of coal in the Gulf of Mexico coastal plain: AAPG Studies in Geology, v. 62, p. 95-108.","productDescription":"14 p.","startPage":"95","endPage":"108","ipdsId":"IP-020031","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":350906,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350905,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.geoscienceworld.org/books/book/1259/chapter/107079193/wilcox-group-paleocene-to-eocene-coals-of-the"}],"country":"United States","state":"Louisiana, Texas","otherGeospatial":"Sabine Uplift area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.140625,\n              30.826780904779774\n            ],\n            [\n              -91.7138671875,\n              30.826780904779774\n            ],\n            [\n              -91.7138671875,\n              33.687781758439364\n            ],\n            [\n              -99.140625,\n              33.687781758439364\n            ],\n            [\n              -99.140625,\n              30.826780904779774\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"62","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a743589e4b0a9a2e9e25ccf","contributors":{"editors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":726418,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Karlsen, Alexander K.","contributorId":44089,"corporation":false,"usgs":false,"family":"Karlsen","given":"Alexander K.","affiliations":[],"preferred":false,"id":726419,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Merrill, Matthew D. 0000-0003-3766-847X mmerrill@usgs.gov","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":2584,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","email":"mmerrill@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":726420,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":726421,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Hook, Robert W.","contributorId":26006,"corporation":false,"usgs":true,"family":"Hook","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":716718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":716717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"SanFilipo, John R. 0000-0002-8739-5628 jsan@usgs.gov","orcid":"https://orcid.org/0000-0002-8739-5628","contributorId":2385,"corporation":false,"usgs":true,"family":"SanFilipo","given":"John R.","email":"jsan@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":726417,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192711,"text":"70192711 - 2011 - Eocene Yegua Formation (Claiborne group) and Jackson group lignite deposits of Texas","interactions":[],"lastModifiedDate":"2020-10-22T16:32:25.331881","indexId":"70192711","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5382,"text":"AAPG Studies in Geology","active":false,"publicationSubtype":{"id":24}},"chapter":"14","title":"Eocene Yegua Formation (Claiborne group) and Jackson group lignite deposits of Texas","docAbstract":"<p><span>The lignite deposits within the upper Eocene Yegua Formation (Claiborne Group) and the overlying Jackson Group are among the coal resources that were not quantitatively assessed as part of the U.S. Geological Survey's (USGS) National Coal Resource Assessment (NCRA) program in the Gulf Coastal Plain coal province. In the past, these lignite-bearing stratigraphic units often have been evaluated together because of their geographic and stratigraphic proximity (Fisher, 1963; Kaiser, 1974; Kaiser et al., 1980; Jackson and Garner, 1982; Kaiser, 1996) (Figures 1, 2). The term “Yegua-Jackson trend“ is used informally herein for the lignite-bearing outcrops of these Late Eocene deposits in Texas. Lignite beds in the Yegua-Jackson trend generally are higher both in ash yield and sulfur content than those of the underlying Wilcox Group (Figure&nbsp;</span><a class=\"link link-reveal link-table xref-fig\" data-open=\"ch14fig2\">2</a><span>). Recent studies (Senkayi et al., 1987; Ruppert et al., 1994; Warwick et al., 1996, 1997) have shown that some lignite beds within the Yegua-Jackson trend contain partings of volcanic ash and host elevated levels of trace elements that have been identified as potentially hazardous air pollutants (HAPs) in the United States Clean Air Amendments of 1990. Lignite beds within the Yegua Formation are thin (less than or equal to 6 ft) and laterally discontinuous in comparison with most Wilcox Group deposits (Ayers, 1989a); in contrast, the Jackson Group lignite beds range up to 12 ft in total thickness and are relatively continuous laterally, extending nearly 32 mi along strike.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic assessment of coal in the Gulf of Mexico coastal plain","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Association of Petroleum Geologists","usgsCitation":"Hook, R.W., Warwick, P.D., Swanson, S.M., and Hackley, P.C., 2011, Eocene Yegua Formation (Claiborne group) and Jackson group lignite deposits of Texas, chap. 14 <i>of</i> Geologic assessment of coal in the Gulf of Mexico coastal plain: AAPG Studies in Geology, v. 62, p. 286-297.","productDescription":"12 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,{"id":70036787,"text":"70036787 - 2011 - An occurrence of the protocetid whale \"Eocetus\" wardii in the middle Eocene Piney Point Formation of Virginia","interactions":[],"lastModifiedDate":"2020-03-27T06:33:01","indexId":"70036787","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2412,"text":"Journal of Paleontology","active":true,"publicationSubtype":{"id":10}},"title":"An occurrence of the protocetid whale \"Eocetus\" wardii in the middle Eocene Piney Point Formation of Virginia","docAbstract":"Two protocetid whale vertebrae, here referred to “Eocetus” wardii, have been recovered from the riverbed of the Pamunkey River in east-central Virginia. Neither bone was found in situ, but both were found with lumps of lithified matrix cemented to their surfaces. Most of this matrix was removed and processed for microfossils. Specimens of dinoflagellates were successfully recovered and this flora clearly demonstrates that both vertebrae came from the middle Eocene Piney Point Formation, which crops out above and below river level in the area where the bones were discovered. These vertebrae are the oldest whale remains reported from Virginia and are as old as any cetacean remains known from the western hemisphere.","language":"English","publisher":"The Paleontological Society","doi":"10.1666/10-083.1","issn":"00223360","usgsCitation":"Weems, R.E., Edwards, L.E., Osborne, J.E., and Alford, A., 2011, An occurrence of the protocetid whale \"Eocetus\" wardii in the middle Eocene Piney Point Formation of Virginia: Journal of Paleontology, v. 85, no. 2, p. 271-278, https://doi.org/10.1666/10-083.1.","productDescription":"8 p.","startPage":"271","endPage":"278","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":245406,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.68,36.54 ], [ -83.68,39.47 ], [ -75.24,39.47 ], [ -75.24,36.54 ], [ -83.68,36.54 ] ] ] } } ] }","volume":"85","issue":"2","noUsgsAuthors":false,"publicationDate":"2015-07-14","publicationStatus":"PW","scienceBaseUri":"5059ea97e4b0c8380cd4897b","contributors":{"authors":[{"text":"Weems, Robert E. 0000-0002-1907-7804 rweems@usgs.gov","orcid":"https://orcid.org/0000-0002-1907-7804","contributorId":2663,"corporation":false,"usgs":true,"family":"Weems","given":"Robert","email":"rweems@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":785627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Lucy E. 0000-0003-4075-3317 leedward@usgs.gov","orcid":"https://orcid.org/0000-0003-4075-3317","contributorId":2647,"corporation":false,"usgs":true,"family":"Edwards","given":"Lucy","email":"leedward@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":457852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osborne, Jason E.","contributorId":171937,"corporation":false,"usgs":false,"family":"Osborne","given":"Jason","email":"","middleInitial":"E.","affiliations":[{"id":26968,"text":"Paleo Quest","active":true,"usgs":false}],"preferred":false,"id":457850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alford, A.A.","contributorId":30073,"corporation":false,"usgs":true,"family":"Alford","given":"A.A.","email":"","affiliations":[],"preferred":false,"id":457851,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037016,"text":"70037016 - 2011 - An analytical framework to assist decision makers in the use of forest ecosystem model predictions","interactions":[],"lastModifiedDate":"2017-04-06T13:21:40","indexId":"70037016","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"An analytical framework to assist decision makers in the use of forest ecosystem model predictions","docAbstract":"<p><span>The predictions from most forest ecosystem models originate from deterministic simulations. However, few evaluation exercises for model outputs are performed by either model developers or users. This issue has important consequences for decision makers using these models to develop natural resource management policies, as they cannot evaluate the extent to which predictions stemming from the simulation of alternative management scenarios may result in significant environmental or economic differences. Various numerical methods, such as sensitivity/uncertainty analyses, or bootstrap methods, may be used to evaluate models and the errors associated with their outputs. However, the application of each of these methods carries unique challenges which decision makers do not necessarily understand; guidance is required when interpreting the output generated from each model. This paper proposes a decision flow chart in the form of an analytical framework to help decision makers apply, in an orderly fashion, different steps involved in examining the model outputs. The analytical framework is discussed with regard to the definition of problems and objectives and includes the following topics: model selection, identification of alternatives, modelling tasks and selecting alternatives for developing policy or implementing management scenarios. Its application is illustrated using an on-going exercise in developing silvicultural guidelines for a forest management enterprise in Ontario, Canada.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2010.03.009","issn":"13648152","usgsCitation":"Larocque, G.R., Bhatti, J.S., Ascough, J., Liu, J., Luckai, N., Mailly, D., Archambault, L., and Gordon, A.M., 2011, An analytical framework to assist decision makers in the use of forest ecosystem model predictions: Environmental Modelling and Software, v. 26, no. 3, p. 280-288, https://doi.org/10.1016/j.envsoft.2010.03.009.","productDescription":"9 p.","startPage":"280","endPage":"288","numberOfPages":"9","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":217418,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envsoft.2010.03.009"},{"id":245364,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e9f8e4b0c8380cd4856a","contributors":{"authors":[{"text":"Larocque, Guy R.","contributorId":68139,"corporation":false,"usgs":true,"family":"Larocque","given":"Guy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":458980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bhatti, Jagtar S.","contributorId":12720,"corporation":false,"usgs":true,"family":"Bhatti","given":"Jagtar","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":458978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ascough, J.C.","contributorId":77776,"corporation":false,"usgs":true,"family":"Ascough","given":"J.C.","affiliations":[],"preferred":false,"id":458981,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, J.","contributorId":23672,"corporation":false,"usgs":false,"family":"Liu","given":"J.","affiliations":[],"preferred":false,"id":458979,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luckai, N.","contributorId":81727,"corporation":false,"usgs":true,"family":"Luckai","given":"N.","email":"","affiliations":[],"preferred":false,"id":458983,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mailly, D.","contributorId":94894,"corporation":false,"usgs":true,"family":"Mailly","given":"D.","email":"","affiliations":[],"preferred":false,"id":458984,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Archambault, L.","contributorId":80938,"corporation":false,"usgs":true,"family":"Archambault","given":"L.","email":"","affiliations":[],"preferred":false,"id":458982,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gordon, Andrew M.","contributorId":9093,"corporation":false,"usgs":true,"family":"Gordon","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":458977,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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