{"pageNumber":"1197","pageRowStart":"29900","pageSize":"25","recordCount":184937,"records":[{"id":70159928,"text":"70159928 - 2015 - Evaluation of a formula that categorizes female gray wolf breeding status by nipple size","interactions":[],"lastModifiedDate":"2017-09-08T10:20:22","indexId":"70159928","displayToPublicDate":"2015-12-03T15:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a formula that categorizes female gray wolf breeding status by nipple size","docAbstract":"The proportion by age class of wild Canis lupus (Gray Wolf) females that reproduce in any given year remains unclear; thus, we evaluated the applicability to our long-term (1972–2013) data set of the Mech et al. (1993) formula that categorizes female Gray Wolf breeding status by nipple size and time of year. We used the formula to classify Gray Wolves from 68 capture events into 4 categories (yearling, adult non-breeder, former breeder, current breeder). To address issues with small sample size and variance, we created an ambiguity index to allow some Gray Wolves to be classed into 2 categories. We classified 20 nipple measurements ambiguously: 16 current or former breeder, 3 former or adult non-breeder, and 1 yearling or adult non-breeder. The formula unambiguously classified 48 (71%) of the nipple measurements; based on supplemental field evidence, at least 5 (10%) of these were incorrect. When used in conjunction with an ambiguity index we developed and with corrections made for classifications involving very large nipples, and supplemented with available field evidence, the Mech et al. (1993) formula provided reasonably reliable classification of breeding status in wild female Gray Wolves.
","language":"English","publisher":"Northeastern Naturalist","doi":"10.1656/045.022.0402","usgsCitation":"Barber-Meyer, S., and Mech, L.D., 2015, Evaluation of a formula that categorizes female gray wolf breeding status by nipple size: Northeastern Naturalist, v. 22, no. 4, p. 652-657, https://doi.org/10.1656/045.022.0402.","productDescription":"6 p.","startPage":"652","endPage":"657","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060793","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":311887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Superior National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.812744140625,\n 47.58764167941513\n ],\n [\n -90.0274658203125,\n 47.58764167941513\n ],\n [\n -90.0274658203125,\n 48.17707562779612\n ],\n [\n -91.812744140625,\n 48.17707562779612\n ],\n [\n -91.812744140625,\n 47.58764167941513\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-18","publicationStatus":"PW","scienceBaseUri":"566167b9e4b06a3ea36c565f","contributors":{"authors":[{"text":"Barber-Meyer, Shannon M. 0000-0002-3048-2616 sbarber-meyer@usgs.gov","orcid":"https://orcid.org/0000-0002-3048-2616","contributorId":147904,"corporation":false,"usgs":true,"family":"Barber-Meyer","given":"Shannon M.","email":"sbarber-meyer@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":581093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":581094,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70159914,"text":"70159914 - 2015 - Developing a 30-m grassland productivity estimation map for central Nebraska using 250-m MODIS and 30-m Landsat-8 observations","interactions":[],"lastModifiedDate":"2017-01-18T09:55:38","indexId":"70159914","displayToPublicDate":"2015-12-03T15:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Developing a 30-m grassland productivity estimation map for central Nebraska using 250-m MODIS and 30-m Landsat-8 observations","docAbstract":"Accurately estimating aboveground vegetation biomass productivity is essential for local ecosystem assessment and best land management practice. Satellite-derived growing season time-integrated Normalized Difference Vegetation Index (GSN) has been used as a proxy for vegetation biomass productivity. A 250-m grassland biomass productivity map for the Greater Platte River Basin had been developed based on the relationship between Moderate Resolution Imaging Spectroradiometer (MODIS) GSN and Soil Survey Geographic (SSURGO) annual grassland productivity. However, the 250-m MODIS grassland biomass productivity map does not capture detailed ecological features (or patterns) and may result in only generalized estimation of the regional total productivity. Developing a high or moderate spatial resolution (e.g., 30-m) productivity map to better understand the regional detailed vegetation condition and ecosystem services is preferred. The 30-m Landsat data provide spatial detail for characterizing human-scale processes and have been successfully used for land cover and land change studies. The main goal of this study is to develop a 30-m grassland biomass productivity estimation map for central Nebraska, leveraging 250-m MODIS GSN and 30-m Landsat data. A rule-based piecewise regression GSN model based on MODIS and Landsat (r = 0.91) was developed, and a 30-m MODIS equivalent GSN map was generated. Finally, a 30-m grassland biomass productivity estimation map, which provides spatially detailed ecological features and conditions for central Nebraska, was produced. The resulting 30-m grassland productivity map was generally supported by the SSURGO biomass production map and will be useful for regional ecosystem study and local land management practices.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2015.10.018","usgsCitation":"Gu, Y., and Wylie, B.K., 2015, Developing a 30-m grassland productivity estimation map for central Nebraska using 250-m MODIS and 30-m Landsat-8 observations: Remote Sensing of Environment, v. 171, p. 291-298, https://doi.org/10.1016/j.rse.2015.10.018.","productDescription":"8 p.","startPage":"291","endPage":"298","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068578","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":311883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.162353515625,\n 41.00477542222949\n ],\n [\n -100.162353515625,\n 42.52879629320373\n ],\n [\n -96.624755859375,\n 42.52879629320373\n ],\n [\n -96.624755859375,\n 41.00477542222949\n ],\n [\n -100.162353515625,\n 41.00477542222949\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"171","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566167b8e4b06a3ea36c565b","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":139586,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","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":581015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":581016,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70159909,"text":"70159909 - 2015 - Coral 13C/12C records of vertical seafloor displacement during megathrust earthquakes west of Sumatra","interactions":[],"lastModifiedDate":"2018-10-24T16:48:05","indexId":"70159909","displayToPublicDate":"2015-12-03T15:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Coral 13C/12C records of vertical seafloor displacement during megathrust earthquakes west of Sumatra","title":"Coral 13C/12C records of vertical seafloor displacement during megathrust earthquakes west of Sumatra","docAbstract":"The recent surge of megathrust earthquakes and tsunami disasters has highlighted the need for a comprehensive understanding of earthquake cycles along convergent plate boundaries. Space geodesy has been used to document recent crustal deformation patterns with unprecedented precision, however the production of long paleogeodetic records of vertical seafloor motion is still a major challenge. Here we show that carbon isotope ratios (![\"View](\"http://ars.els-cdn.com/content/image/1-s2.0-S0012821X15006287-si1.gif\" "\\"View")
) in the skeletons of massive Porites corals from west Sumatra record abrupt changes in light exposure resulting from coseismic seafloor displacements. Validation of the method is based on the coral response to uplift (and subsidence) produced by the March 2005 Mw 8.6 Nias–Simeulue earthquake, and uplift further south around Sipora Island during a M∼8.4 megathrust earthquake in February 1797. At Nias, the average step-change in coral was 0.6±0.1‰/m for coseismic displacements of +1.8 m and −0.4 m in 2005. At Sipora, a distinct change in Porites microatoll growth morphology marks coseismic uplift of 0.7 m in 1797. In this shallow water setting, with a steep light attenuation gradient, the step-change in microatoll is2.3‰/m, nearly four times greater than for the Nias Porites . Considering the natural variability in coral skeletal , we show that the lower detection limit of the method is around 0.2 m of vertical seafloor motion. Analysis of vertical displacement for well-documented earthquakes suggests this sensitivity equates to shallow events exceedingMw∼7.2 in central megathrust and back-arc thrust fault settings. Our findings indicate that the coral ![\"View](\"http://ars.els-cdn.com/content/image/1-s2.0-S0012821X15006287-si8.gif\" "\\"View")
paleogeodesy technique could be applied to convergent tectonic margins throughout the tropical western Pacific and eastern Indian oceans, which host prolific coral reefs, and some of the world's greatest earthquake catastrophes. While our focus here is the link between coral , light exposure and coseismic crustal deformation, the same principles could be used to characterize interseismic strain during earthquake cycles over the last several millennia.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2015.10.002","usgsCitation":"Gagan, M.K., Sosdian, S.M., Scott-Gagan, H., Sieh, K., Hantoro, W.S., Natawidjaja, D.H., Briggs, R.W., Suwargadi, B.W., and Rifai, H., 2015, Coral 13C/12C records of vertical seafloor displacement during megathrust earthquakes west of Sumatra: Earth and Planetary Science Letters, v. 432, p. 461-471, https://doi.org/10.1016/j.epsl.2015.10.002.","productDescription":"11 p.","startPage":"461","endPage":"471","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069679","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":311886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Indonesia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 95.4052734375,\n -4.696879026871413\n ],\n [\n 102.0849609375,\n -4.696879026871413\n ],\n [\n 102.0849609375,\n 3.1076061013287033\n ],\n [\n 95.4052734375,\n 3.1076061013287033\n ],\n [\n 95.4052734375,\n -4.696879026871413\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"432","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566167b7e4b06a3ea36c5659","contributors":{"authors":[{"text":"Gagan, Michael K.","contributorId":150200,"corporation":false,"usgs":false,"family":"Gagan","given":"Michael","email":"","middleInitial":"K.","affiliations":[{"id":17939,"text":"The Australian National University","active":true,"usgs":false}],"preferred":false,"id":581095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sosdian, Sindia M.","contributorId":150201,"corporation":false,"usgs":false,"family":"Sosdian","given":"Sindia","email":"","middleInitial":"M.","affiliations":[{"id":17940,"text":"Cardiff University","active":true,"usgs":false}],"preferred":false,"id":581096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott-Gagan, Heather","contributorId":150202,"corporation":false,"usgs":false,"family":"Scott-Gagan","given":"Heather","email":"","affiliations":[{"id":17939,"text":"The Australian National University","active":true,"usgs":false}],"preferred":false,"id":581097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sieh, Kerry","contributorId":7280,"corporation":false,"usgs":true,"family":"Sieh","given":"Kerry","affiliations":[],"preferred":false,"id":581098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hantoro, Wahyoe S.","contributorId":150203,"corporation":false,"usgs":false,"family":"Hantoro","given":"Wahyoe","email":"","middleInitial":"S.","affiliations":[{"id":17941,"text":"Indonesian Institute of Sciences","active":true,"usgs":false}],"preferred":false,"id":581099,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Natawidjaja, Danny H.","contributorId":150204,"corporation":false,"usgs":false,"family":"Natawidjaja","given":"Danny","email":"","middleInitial":"H.","affiliations":[{"id":17941,"text":"Indonesian Institute of Sciences","active":true,"usgs":false}],"preferred":false,"id":581100,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":581101,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Suwargadi, Bambang W.","contributorId":150205,"corporation":false,"usgs":false,"family":"Suwargadi","given":"Bambang","email":"","middleInitial":"W.","affiliations":[{"id":17941,"text":"Indonesian Institute of Sciences","active":true,"usgs":false}],"preferred":false,"id":581102,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rifai, Hamdi","contributorId":150206,"corporation":false,"usgs":false,"family":"Rifai","given":"Hamdi","affiliations":[{"id":17942,"text":"State University of Padang","active":true,"usgs":false}],"preferred":false,"id":581103,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70159917,"text":"70159917 - 2015 - Classification of ephemeral, intermittent, and perennial stream reaches using a TOPMODEL-based approach","interactions":[],"lastModifiedDate":"2019-06-03T13:22:56","indexId":"70159917","displayToPublicDate":"2015-12-03T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Classification of ephemeral, intermittent, and perennial stream reaches using a TOPMODEL-based approach","docAbstract":"Whether a waterway is temporary or permanent influences regulatory protection guidelines, however, classification can be subjective due to a combination of factors, including time of year, antecedent moisture conditions, and previous experience of the field investigator. Our objective was to develop a standardized protocol using publicly available spatial information to classify ephemeral, intermittent, and perennial streams. Our hypothesis was that field observations of flow along the stream channel could be compared to results from a hydrologic model, providing an objective method of how these stream reaches can be identified. Flow-state sensors were placed at ephemeral, intermittent, and perennial stream reaches from May to December 2011 in the Appalachian coal basin of eastern Kentucky. This observed flow record was then used to calibrate the simulated saturation deficit in each channel reach based on the topographic wetness index used by TOPMODEL. Saturation deficit values were categorized as flow or no-flow days, and the simulated record of streamflow was compared to the observed record. The hydrologic model was more accurate for simulating flow during the spring and fall seasons. However, the model effectively identified stream reaches as intermittent and perennial in each of the two basins.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12352","usgsCitation":"Williamson, T., Agouridis, C.T., Barton, C.D., Villines, J.A., and Lant, J.G., 2015, Classification of ephemeral, intermittent, and perennial stream reaches using a TOPMODEL-based approach: Journal of the American Water Resources Association, v. 51, no. 6, p. 1739-1759, https://doi.org/10.1111/1752-1688.12352.","productDescription":"21 p.","startPage":"1739","endPage":"1759","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051282","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":311879,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-18","publicationStatus":"PW","scienceBaseUri":"566167b7e4b06a3ea36c5655","contributors":{"authors":[{"text":"Williamson, Tanja N. tnwillia@usgs.gov","contributorId":452,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja N.","email":"tnwillia@usgs.gov","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":false,"id":581038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Agouridis, Carmen T. 0000-0001-9580-6143","orcid":"https://orcid.org/0000-0001-9580-6143","contributorId":150223,"corporation":false,"usgs":false,"family":"Agouridis","given":"Carmen","email":"","middleInitial":"T.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":581040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barton, Christopher D.","contributorId":150222,"corporation":false,"usgs":false,"family":"Barton","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":581039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Villines, Jonathan A.","contributorId":150224,"corporation":false,"usgs":false,"family":"Villines","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":581041,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lant, Jeremiah G. 0000-0001-6688-4820 jlant@usgs.gov","orcid":"https://orcid.org/0000-0001-6688-4820","contributorId":4912,"corporation":false,"usgs":true,"family":"Lant","given":"Jeremiah","email":"jlant@usgs.gov","middleInitial":"G.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":581042,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70159003,"text":"sir20155151 - 2015 - Regression Equations for Monthly and Annual Mean and Selected Percentile Streamflows for Ungaged Rivers in Maine","interactions":[],"lastModifiedDate":"2015-12-31T10:46:01","indexId":"sir20155151","displayToPublicDate":"2015-12-03T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5151","title":"Regression Equations for Monthly and Annual Mean and Selected Percentile Streamflows for Ungaged Rivers in Maine","docAbstract":"In an effort to delineate hydrologic conditions in Maine, the U.S. Geological Survey, in cooperation with the Maine Department of Transportation, used streamflow data to develop dependent variables for 130 regression equations for estimating monthly and annual mean and 1, 5, 10, 25, 50, 75, 90, 95, and 99 percentile streamflows for ungaged, unregulated rivers in Maine. Daily streamflow data from 24 rural unregulated basins with drainage areas between 14.9 and 1,419 square miles in Maine and northern New Hampshire were used in the derivation of the equations. Streamflow data collected from October 1, 1982, through September 30, 2012, were used to derive the dependent variables for this study to represent current [2015] hydrologic conditions in Maine and northern New Hampshire. Weighted least squares regression techniques were used to derive the final coefficients and measures of uncertainty for the regression equations. Eight basin characteristics serve as the explanatory variables: drainage area, distance from the coast, mean and maximum basin elevation, mean basin slope, mean basin percentage of hydrologic soil group A, fraction of sand and gravel aquifers, and percentage of open water.
\nThe largest average errors of prediction are associated with regression equations for the lowest streamflows derived for months during which the lowest streamflows of the year occur (such as the 5 and 1 monthly percentiles for August and September). The regression equations have been derived on the basis of streamflow and basin characteristics data for unregulated, rural drainage basins without substantial streamflow or drainage modifications (for example, diversions and (or) regulation by dams or reservoirs, tile drainage, irrigation, channelization, and impervious paved surfaces), therefore using the equations for regulated or urbanized basins with substantial streamflow or drainage modifications will yield results of unknown error. Input basin characteristics derived using techniques or datasets other than those documented in this report or using values outside the ranges used to develop these regression equations also will yield results of unknown error.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155151","collaboration":"Prepared in cooperation with the Maine Department of Transportation","usgsCitation":"Dudley, R.W., 2015, Regression equations for monthly and annual mean and selected percentile streamflows for ungaged rivers in Maine (ver. 1.1, December 21, 2015): U.S. Geological Survey Scientific Investigations Report 2015–5151, 35 p., https://dx.doi.org/10.3133/sir20155151.","productDescription":"viii, 35 p.","numberOfPages":"48","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-066284","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":311685,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5151/sir20155151.pdf","text":"Report","size":"8.99 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5151"},{"id":312572,"rank":3,"type":{"id":25,"text":"Version 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\"}}]}","edition":"Version 1: Originally posted December 3, 2015; Version 1.1: December 21, 2015","contact":"Director, New England Water Science Center
U.S. Geological Survey
196 Whitten Road
Augusta, ME 04330
\nOr visit our Web site at:
http://newengland.water.usgs.gov
","tableOfContents":"\n- Acknowledgments
\n- Abstract
\n- Introduction
\n- Data Used For This Study
\n- Regression Analyses
\n- Regression Equations
\n- Summary
\n- References Cited
\n- Appendix 1
\n
","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2015-12-03","revisedDate":"2015-12-21","noUsgsAuthors":false,"publicationDate":"2015-12-03","publicationStatus":"PW","scienceBaseUri":"566167b9e4b06a3ea36c5665","contributors":{"authors":[{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":577237,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70159903,"text":"70159903 - 2015 - Uranium-series ages of fossil corals from Mallorca, Spain: The \"Neotyrrhenian\" high stand of the Mediterranean Sea revisited","interactions":[],"lastModifiedDate":"2018-02-08T12:50:18","indexId":"70159903","displayToPublicDate":"2015-12-03T11:15:00","publicationYear":"2015","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":"Uranium-series ages of fossil corals from Mallorca, Spain: The \"Neotyrrhenian\" high stand of the Mediterranean Sea revisited","docAbstract":"The emergent marine deposits of the Mediterranean basin have been recognized as an important record of Quaternary sea level history for more than a century. Previous workers identified what have been interpreted to be two separate high stands of sea in the late Quaternary, namely the “Eutyrrhenian” (thought to be ~ 120 ka) and the “Neotyrrhenian” (thought to be either ~ 100 ka or ~ 80 ka). On Mallorca, Spain, both of these named deposits lie close to present sea level, implying paleo-sea levels slightly above present during both marine isotope stages (MIS) 5.5/5e and either 5.3/5c or 5.1/5a. If these interpretations are correct, they conflict, at least in part, with sea level records from far-field localities.
\nWe analyzed corals from the Neotyrrhenian beds on Mallorca, which gave U-series ages from ~ 126 ka to ~ 118 ka. These ages are consistent with previously published amino acid data that show that the Neotyrrhenian and Eutyrrhenian deposits are not significantly different in age. A fossil molluscan fauna from the Neotyrrhenian deposits on Mallorca has a warm-water paleozoogeographic aspect, with nine southward-ranging species and four extralimital southern species. When compared with sea surface temperatures obtained from planktonic foraminifera and alkenones from ODP core 977 in the nearby Alboran Sea, the only time period that shows comparable warmth is MIS 5.5/5e, consistent with the U-series ages of corals from the Neotyrrhenian deposits. We propose that the Neotyrrhenian deposits are a beachrock facies of the same age as the Eutyrrhenian deposits. This interpretation is consistent with the differences in physical sedimentology of the two deposits, explains the U-series and amino acid data indicating the same age, is consistent with the very slight elevation difference of the Neotyrrhenian and Eutyrrhenian beds, and explains the similar, though not identical paleozoogeographic aspects of their fossil faunas.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2015.06.043","usgsCitation":"Muhs, D., Simmons, K., and Porat, N., 2015, Uranium-series ages of fossil corals from Mallorca, Spain: The \"Neotyrrhenian\" high stand of the Mediterranean Sea revisited: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 438, p. 408-424, https://doi.org/10.1016/j.palaeo.2015.06.043.","productDescription":"17 p.","startPage":"408","endPage":"424","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061716","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":471581,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10553/17947","text":"External Repository"},{"id":311854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain","state":"Mallorca","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 2.142333984375,\n 39.14710270770074\n ],\n [\n 2.142333984375,\n 40.111688665595956\n ],\n [\n 3.515625,\n 40.111688665595956\n ],\n [\n 3.515625,\n 39.14710270770074\n ],\n [\n 2.142333984375,\n 39.14710270770074\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"438","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566167bae4b06a3ea36c5669","contributors":{"authors":[{"text":"Muhs, Daniel R. dmuhs@usgs.gov","contributorId":140959,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":580965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simmons, Kathleen R. ksimmons@usgs.gov","contributorId":140955,"corporation":false,"usgs":true,"family":"Simmons","given":"Kathleen R.","email":"ksimmons@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":580973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Porat, Naomi","contributorId":13886,"corporation":false,"usgs":true,"family":"Porat","given":"Naomi","affiliations":[],"preferred":false,"id":580974,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70159876,"text":"70159876 - 2015 - Surveillance potential of non-native Hawaiian birds for detection of West Nile Virus","interactions":[],"lastModifiedDate":"2015-12-03T10:12:15","indexId":"70159876","displayToPublicDate":"2015-12-03T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":733,"text":"American Journal of Tropical Medicine and Hygiene","active":true,"publicationSubtype":{"id":10}},"title":"Surveillance potential of non-native Hawaiian birds for detection of West Nile Virus","docAbstract":"West Nile virus (WNV) was first detected in North America in 1999. Alaska and Hawaii (HI) remain the only U.S. states in which transmission of WNV has not been detected. Dead bird surveillance has played an important role in the detection of the virus geographically, as well as temporally. In North America, corvids have played a major role in WNV surveillance; however, the only corvid in HI is the endangered Hawaiian crow that exists only in captivity, thus precluding the use of this species for WNV surveillance in HI. To evaluate the suitability of alternate avian species for WNV surveillance, we experimentally challenged seven abundant non-native bird species present in HI with WNV and compared mortality, viremia, oral shedding of virus, and seroconversion. For detection of WNV in oral swabs, we compared viral culture, reverse-transcriptase polymerase chain reaction, and the RAMP® test. For detection of antibodies to WNV, we compared an indirect and a competitive enzyme-linked immunoassay. We found four species (house sparrow, house finch, Japanese white-eye, and Java sparrow) that may be useful in dead bird surveillance for WNV; while common myna, zebra dove, and spotted dove survived infection and may be useful in serosurveillance.
","language":"English","doi":"10.4269/ajtmh.14-0590","usgsCitation":"Hofmeister, E.K., Dusek, R., and Brand, C.J., 2015, Surveillance potential of non-native Hawaiian birds for detection of West Nile Virus: American Journal of Tropical Medicine and Hygiene, v. 93, no. 4, p. 701-708, https://doi.org/10.4269/ajtmh.14-0590.","productDescription":"8 p.","startPage":"701","endPage":"708","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065156","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":471582,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.4269/ajtmh.14-0590","text":"External Repository"},{"id":311852,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566167bae4b06a3ea36c5667","contributors":{"authors":[{"text":"Hofmeister, Erik K. 0000-0002-6360-3912 ehofmeister@usgs.gov","orcid":"https://orcid.org/0000-0002-6360-3912","contributorId":3230,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","email":"ehofmeister@usgs.gov","middleInitial":"K.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":580854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":140396,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert J.","email":"rdusek@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":580855,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brand, Christopher J. cbrand@usgs.gov","contributorId":1186,"corporation":false,"usgs":true,"family":"Brand","given":"Christopher","email":"cbrand@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":580856,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70159894,"text":"70159894 - 2015 - Estimating regional landbird populations from enhanced North American Breeding Bird Surveys","interactions":[],"lastModifiedDate":"2015-12-03T09:31:03","indexId":"70159894","displayToPublicDate":"2015-12-03T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating regional landbird populations from enhanced North American Breeding Bird Surveys","docAbstract":"Estimating the size of bird populations is central to effective conservation planning and prudent management. I updated estimated regional bird populations for the East Gulf Coastal Plain of Mississippi using data from 275 North American Breeding Bird Surveys from 2009 to 2013. However, regional bird populations estimated from count surveys of breeding birds may be biased due to lack of empirical knowledge of the distance at which a species is effectively detected and the probability of detecting a species if it is present. I used data recorded within two distance classes (0–50 m and >50–400 m) and three 1-min time intervals on 130 Breeding Bird Surveys to estimate detection probability and effective detection distance for 77 species. Incorporating these empirical estimates of detection probability and detection distance resulted in estimated regional populations for these species that were markedly greater than regional populations estimated without species-specific estimates of detection parameters. Using the same Breeding Bird Survey data, I also estimated probability of site occupancy for 66 species and extrapolated this to the proportion of area occupied in the East Gulf Coastal Plain of Mississippi. I combined the area occupied with the reported range of breeding territory size for 54 species to obtain independent estimates of regional bird populations. Although the true population of these species is unknown, estimated populations that incorporated empirical estimates of detection probability and detection distance were more likely to be within the range of independently estimated, occupancy-based, regional population estimates than were population estimates that lacked empirical detection and distance information.
","language":"English","doi":"10.1111/jofo.12118","usgsCitation":"Twedt, D.J., 2015, Estimating regional landbird populations from enhanced North American Breeding Bird Surveys: Journal of Field Ornithology, v. 86, no. 4, p. 352-368, https://doi.org/10.1111/jofo.12118.","productDescription":"17 p.","startPage":"352","endPage":"368","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058291","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":311839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.39599609375,\n 30.363396239603716\n ],\n [\n -88.472900390625,\n 31.868227816180674\n ],\n [\n -88.099365234375,\n 34.89944783005726\n ],\n [\n -88.209228515625,\n 35.007502842952896\n ],\n [\n -90.15380859375,\n 34.99850370014629\n ],\n [\n -90.054931640625,\n 34.89494244739732\n ],\n [\n -90.0933837890625,\n 34.773203753940734\n ],\n [\n -90.0714111328125,\n 34.619647359797185\n ],\n [\n -90.0274658203125,\n 34.492975402501536\n ],\n [\n -89.9176025390625,\n 34.17999758688084\n ],\n [\n -89.879150390625,\n 33.89321737944089\n ],\n [\n -89.8187255859375,\n 33.5459730276919\n ],\n [\n -89.9560546875,\n 33.23409295522519\n ],\n [\n -90.24169921875,\n 32.90726224488304\n ],\n [\n -90.47241210937499,\n 32.62549671451373\n ],\n [\n -90.9613037109375,\n 32.310348764525806\n ],\n [\n -91.175537109375,\n 32.194208672875355\n ],\n [\n -91.109619140625,\n 32.091882620021785\n ],\n [\n -91.19750976562499,\n 31.970803930433096\n ],\n [\n -91.318359375,\n 31.840232667909365\n ],\n [\n -91.47216796875,\n 31.700129553985924\n ],\n [\n -91.58203125,\n 31.606609719226917\n ],\n [\n -91.505126953125,\n 31.522361470421437\n ],\n [\n -91.58203125,\n 31.38177878211098\n ],\n [\n -91.571044921875,\n 31.28793989264176\n ],\n [\n -91.68090820312499,\n 31.25037814985571\n ],\n [\n -91.60400390625,\n 31.11879439598953\n ],\n [\n -91.636962890625,\n 30.977609093348686\n ],\n [\n -89.71435546875,\n 31.005862904624205\n ],\n [\n -89.84619140625,\n 30.770159115784214\n ],\n [\n -89.835205078125,\n 30.609549797190844\n ],\n [\n -89.703369140625,\n 30.439202087235607\n ],\n [\n -89.56054687499999,\n 30.135626231134612\n ],\n [\n -89.3408203125,\n 30.278044377800153\n ],\n [\n -89.000244140625,\n 30.38235321766959\n ],\n [\n -88.83544921874999,\n 30.38235321766959\n ],\n [\n -88.681640625,\n 30.315987718557867\n ],\n [\n -88.61572265625,\n 30.363396239603716\n ],\n [\n -88.48388671874999,\n 30.29701788337205\n ],\n [\n -88.39599609375,\n 30.363396239603716\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"86","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-19","publicationStatus":"PW","scienceBaseUri":"566167b8e4b06a3ea36c565d","contributors":{"authors":[{"text":"Twedt, Daniel J. 0000-0003-1223-5045 dtwedt@usgs.gov","orcid":"https://orcid.org/0000-0003-1223-5045","contributorId":398,"corporation":false,"usgs":true,"family":"Twedt","given":"Daniel","email":"dtwedt@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":580929,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70159537,"text":"ofr20151211 - 2015 - California State Waters Map Series — Offshore of Fort Ross, California","interactions":[],"lastModifiedDate":"2022-04-18T21:34:02.125304","indexId":"ofr20151211","displayToPublicDate":"2015-12-03T08:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1211","title":"California State Waters Map Series — Offshore of Fort Ross, California","docAbstract":"Introduction
\nIn 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California’s State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow subsurface geology.
\nThe Offshore of Fort Ross map area is located in northern California, on the Pacific coast of Sonoma County, about 90 km north of San Francisco and 60 km south of Point Arena. The onshore part of the map area is largely undeveloped, used primarily for grazing and recreation; the small town of Jenner (population, 136), located at the mouth of the Russian River, is the largest cultural center. The coast and shoreline are rugged and scenic, characterized by rocky promontories, kelp-rich coves, and nearshore rocks and sea stacks. U.S. Highway 1 extends along the coast through the map area, crossing the Russian River and passing through Sonoma Coast State Park and Fort Ross State Historic Park.
\nThe Offshore of Fort Ross map area is cut by the northwest-striking San Andreas Fault, the right-lateral transform boundary between the North American and Pacific plates. The fault intersects the shoreline a few kilometers south of Fort Ross at Timber Gulch, and it juxtaposes Jurassic, Cretaceous, Paleocene, and Eocene rocks of the Franciscan Complex to the northeast and Tertiary sedimentary rocks to the southwest. In this area, the San Andreas Fault has an estimated slip rate of 17 to 24 mm/yr. The devastating great 1906 California earthquake (M7.8) is thought to have nucleated on the San Andreas Fault offshore of San Francisco, about 90 km to the south, with the rupture extending northward through the Offshore of Fort Ross map area to the south flank of Cape Mendocino. Approximately 3.6 m of lateral offset occurred at Timber Gulch during this event.
\nThe San Andreas Fault has an important influence on coastal geomorphology. The coastline in the northern part of the map area, southwest of the onshore San Andreas Fault, is characterized by steep shoreline bluffs and as many as four uplifted, relatively flat marine terraces that range in elevation from about 15 to 100 m. Northeast of the San Andreas Fault, about 12 km of coastline is marked by steep, landslide-prone cliffs that commonly are 200 to 300 m high.
\nThe mouth of the Russian River and its estuary cut through the steep coastal topography in the southern part of the Offshore of Fort Ross map area. The Russian River drains a large watershed (3,470 km2), and it has an annual discharge of about 2 km3 (1,600,000 acre-feet) and an annual sediment load of about 900,000 metric tons. The map area is part of the Russian River littoral cell, in which the predominant longshore drift is to the south. Small pocket beaches are most common along the shoreline, but longer linear beaches are present near the mouth of the Russian River.
\nThe seafloor in the north half of the map area is characterized by rocky outcrops of Tertiary sedimentary rocks. The rugged nearshore zone and the inner shelf area (to water depths of about 50 m) typically slopes gently seaward, whereas the smooth midshelf area within California’s State Waters (about 50 to 85 m deep) is relatively flat. In contrast, the nearshore to midshelf area in the south half of the map area, which lies directly offshore of the mouth of the Russian River, has a more uniform, relatively flat slope. Shallow-marine and shelf sediments were deposited in the last about 21,000 years during the sea-level rise that followed the Last Glacial Maximum (LGM). Sea level was about 125 m lower than present during the LGM, at which time the entire Offshore of Fort Ross map area was emergent and the shoreline was about 20 km west of its present location.
\nCirculation over the continental shelf in the map area (and in the broader northern California region) is dominated by the southward-flowing California Current, the eastern limb of the North Pacific Gyre. Associated upwelling brings cool, nutrient-rich waters to the surface, resulting in high biological productivity. The current flow generally is southeastward during the spring and summer; however, during the fall and winter, the otherwise persistent northwest winds are sometimes weak or absent, causing the California Current to move farther offshore and the Davidson Current, a weaker, northward-flowing countercurrent, to become active.
\nThroughout the year, this part of the northern California coast is exposed to four wave climate regimes: the north Pacific swell, the southern swell, northwest wind waves, and local wind waves. The north Pacific swell dominates in winter months (typically November through March). During summer months, the largest waves come from the southern swell, generated by storms in the south Pacific and offshore of Central America. Northwest wind waves affect the coast throughout the year, whereas local wind waves are most common from October to April.
\nPotential marine benthic habitat types in the Offshore of Fort Ross map area include unconsolidated continental-shelf sediments, mixed continental-shelf substrate, and hard continental-shelf substrate. Rocky shelf outcrops and rubble are considered the primary habitat type for rockfish and lingcod, both of which are recreationally and commercially important species.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151211","usgsCitation":"Johnson, S.Y., Dartnell, P., Golden, N.E., Hartwell, S.R., Erdey, M.D., Greene, H.G., Cochrane, G.R., Kvitek, R.G., Manson, M.W., Endris, C.A., Dieter, B.E., Watt, J.T., Krigsman, L.M., Sliter, R.W., Lowe, E.N., and Chin, J.L. (S.Y. Johnson and S.A. Cochran, eds.), 2015, California State Waters Map Series — Offshore of Fort Ross, California: U.S. Geological Survey Open-File Report 2015–1211, pamphlet 37 p., 10 sheets, scale 1:24,000, https://dx.doi.org/10.3133/ofr20151211.","productDescription":"Pamphlet: iv, 37 p.; 10 Sheets: 47.0 x 36.0 inches or smaller; Data Catalog; Metadata","numberOfPages":"41","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-056321","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":399011,"rank":21,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_103728.htm"},{"id":311811,"rank":11,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_sheet9.pdf","text":"Sheet 9","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1211 Sheet 9 PDF","linkHelpText":"Local (Offshore of Fort Ross Map Area) and Regional (Offshore from Salt Point to Drakes Bay) Shallow-Subsurface Geology and Structure, California By Samuel Y. Johnson, Stephen R. Hartwell, Janet T. Watt, and Ray W. Sliter"},{"id":311810,"rank":10,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_sheet8.pdf","text":"Sheet 8","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1211 Sheet 8 PDF","linkHelpText":"Seismic-Reflection Profiles, Offshore of Fort Ross Map Area, California by Samuel Y. Johnson, Ray W. Sliter, Stephen R. Hartwell, and John L. Chin"},{"id":311809,"rank":9,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_sheet7.pdf","text":"Sheet 7","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1211 Sheet 7 PDF","linkHelpText":"Potential Marine Benthic Habitats, Offshore of Fort Ross Map Area, California By Bryan E. Dieter, H. Gary Greene, Charles A. Endris, Mercedes D. Erdey, and Erik N. Lowe"},{"id":311819,"rank":17,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2015/1088/","text":"Open-File Report 2015–1088","linkHelpText":"California State Waters Map Series—Offshore of Tomales Point, California, by Samuel Y. Johnson and others."},{"id":311818,"rank":16,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2015/1041/","text":"Open-File Report 2015–1041","linkHelpText":"California State Waters Map Series—Drakes Bay and Vicinity, California, by Janet T. Watt and others."},{"id":311817,"rank":15,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/781/","text":"Data Series 781","linkHelpText":"California State Waters Map Series Data Catalog"},{"id":311816,"rank":14,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_metadata.html","linkFileType":{"id":5,"text":"html"}},{"id":311815,"rank":13,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/ds/781/OffshoreFortRoss/data_catalog_OffshoreFortRoss.html","text":"Data Catalog","linkFileType":{"id":5,"text":"html"},"linkHelpText":"The GIS data layers for this map are accessible from “Data Catalog—Offshore Fort Ross, California,” which is part of California State Waters Map Series Data Catalog. Each GIS data file is listed with a brief description, a small image, and links to the metadata files and the downloadable data files."},{"id":311812,"rank":12,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_sheet10.pdf","text":"Sheet 10","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1211 Sheet 10 PDF","linkHelpText":"Offshore and Onshore Geology and Geomorphology, Offshore of Fort Ross Map Area, California By Samuel Y. Johnson, Stephen R. Hartwell, and Michael W. Manson"},{"id":311808,"rank":8,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_sheet6.pdf","text":"Sheet 6","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1211 Sheet 6 PDF","linkHelpText":"Ground-Truth Studies, Offshore of Fort Ross Map Area, California By Nadine E. Golden, Guy R. Cochrane, and Lisa M. Krigsman"},{"id":311807,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_sheet5.pdf","text":"Sheet 5","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1211 Sheet 5 PDF","linkHelpText":"Seafloor Character, Offshore of Fort Ross Map Area, California By Mercedes D. Erdey and Guy R. Cochrane"},{"id":311803,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_sheet1.pdf","text":"Sheet 1","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1211 Sheet 1 PDF","linkHelpText":"Colored Shaded-Relief Bathymetry, Offshore of Fort Ross Map Area, California By Peter Dartnell and Rikk G. Kvitek"},{"id":311801,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1211/coverthb.jpg"},{"id":311802,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_pamphlet.pdf","text":"Pamphlet","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1211 Pamphlet PDF"},{"id":311806,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_sheet4.pdf","text":"Sheet 4","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1211 Sheet 4 PDF","linkHelpText":"Data Integration and Visualization, Offshore of Fort Ross Map Area, California By Peter Dartnell"},{"id":311805,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_sheet3.pdf","text":"Sheet 3","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1211 Sheet 3 PDF","linkHelpText":"Acoustic Backscatter, Offshore of Fort Ross Map Area, California By Peter Dartnell, Mercedes D. Erdey, and Rikk G. Kvitek"},{"id":311804,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_sheet2.pdf","text":"Sheet 2","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1211 Sheet 2 PDF","linkHelpText":"Shaded-Relief Bathymetry, Offshore of Fort Ross Map Area, California By Peter Dartnell and Rikk G. Kvitek"},{"id":311820,"rank":18,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/ofr20151140","text":"Open-File Report 2015–1140","linkHelpText":"California State Waters Map Series—Offshore of Bodega Head, California, by Samuel Y. Johnson and others."},{"id":311821,"rank":19,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2015/1098/","text":"Open-File Report 2015–1098","linkHelpText":"California State Waters Map Series—Offshore of Salt Point, California, by Samuel Y. Johnson and others."},{"id":311822,"rank":20,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2015/1114/","text":"Open-File Report 2015–1114","linkHelpText":"California State Waters Map Series—Offshore of Point Reyes and Vicinity, California, by Janet T. Watt and others."}],"scale":"24000","country":"United States","state":"California","otherGeospatial":"Fort Ross","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.3056,\n 38.3967\n ],\n [\n -123.3056,\n 38.5558\n ],\n [\n -123.1028,\n 38.5558\n ],\n [\n -123.1028,\n 38.3967\n ],\n [\n -123.3056,\n 38.3967\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact Information
Pacific Coastal & Marine Science Center
U.S. Geological Survey
Pacific Science Center
2885 Mission St.
Santa Cruz, CA 95060
http://walrus.wr.usgs.gov/
","tableOfContents":"\n- Chapter 1. Introduction
\n- Chapter 2. Bathymetry and Backscatter-Intensity Maps of the Offshore of Fort Ross Map Area
\n- Chapter 3. Data Integration and Visualization for the Offshore of Fort Ross Map Area
\n- Chapter 4. Seafloor-Character Map of the Offshore of Fort Ross Map Area
\n- Chapter 5. Ground-Truth Studies for the Offshore of Fort Ross Map Area
\n- Chapter 6. Potential Marine Benthic Habitats of the Offshore of Fort Ross Map Area
\n- Chapter 7. Subsurface Geology and Structure of the Offshore of Fort Ross Map Area and the Salt Point to Drakes Bay Region
\n- Chapter 8. Geologic and Geomorphic Map of the Offshore of Fort Ross Map Area
\n
","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2015-12-03","noUsgsAuthors":false,"publicationDate":"2015-12-03","publicationStatus":"PW","scienceBaseUri":"566167b4e4b06a3ea36c5651","contributors":{"editors":[{"text":"Johnson, Samuel Y. 0000-0001-7972-9977 sjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":2607,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel","email":"sjohnson@usgs.gov","middleInitial":"Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":580877,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Cochran, Susan A. 0000-0002-2442-8787 scochran@usgs.gov","orcid":"https://orcid.org/0000-0002-2442-8787","contributorId":2062,"corporation":false,"usgs":true,"family":"Cochran","given":"Susan A.","email":"scochran@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":580878,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Johnson, Samuel Y. 0000-0001-7972-9977 sjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":2607,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel","email":"sjohnson@usgs.gov","middleInitial":"Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":579459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":579460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Golden, Nadine E. ngolden@usgs.gov","contributorId":1980,"corporation":false,"usgs":true,"family":"Golden","given":"Nadine E.","email":"ngolden@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":579461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartwell, Stephen R. 0000-0002-3522-7526 shartwell@usgs.gov","orcid":"https://orcid.org/0000-0002-3522-7526","contributorId":4995,"corporation":false,"usgs":true,"family":"Hartwell","given":"Stephen","email":"shartwell@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":579462,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Erdey, Mercedes D. merdey@usgs.gov","contributorId":5411,"corporation":false,"usgs":true,"family":"Erdey","given":"Mercedes","email":"merdey@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":579463,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Greene, H. Gary","contributorId":78669,"corporation":false,"usgs":true,"family":"Greene","given":"H. Gary","affiliations":[],"preferred":false,"id":579464,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":579465,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kvitek, Rikk G.","contributorId":107804,"corporation":false,"usgs":true,"family":"Kvitek","given":"Rikk","email":"","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":579466,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Manson, Michael W.","contributorId":50447,"corporation":false,"usgs":true,"family":"Manson","given":"Michael","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":579467,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Endris, Charles A.","contributorId":87875,"corporation":false,"usgs":true,"family":"Endris","given":"Charles","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":579468,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dieter, Bryan E.","contributorId":21859,"corporation":false,"usgs":true,"family":"Dieter","given":"Bryan E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":579469,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Watt, Janet 0000-0002-4759-3814 jwatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":146222,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","email":"jwatt@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":579470,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Krigsman, Lisa M.","contributorId":43642,"corporation":false,"usgs":true,"family":"Krigsman","given":"Lisa M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":579471,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sliter, Ray W. 0000-0003-0337-3454 rsliter@usgs.gov","orcid":"https://orcid.org/0000-0003-0337-3454","contributorId":1992,"corporation":false,"usgs":true,"family":"Sliter","given":"Ray","email":"rsliter@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":579472,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lowe, Erik N. eriklowe@usgs.gov","contributorId":5288,"corporation":false,"usgs":true,"family":"Lowe","given":"Erik","email":"eriklowe@usgs.gov","middleInitial":"N.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":579473,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Chin, John L.","contributorId":98291,"corporation":false,"usgs":true,"family":"Chin","given":"John L.","affiliations":[],"preferred":false,"id":579474,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70160532,"text":"70160532 - 2015 - Biodegradability of dissolved organic carbon in permafrost soils and aquatic systems: a meta-analysis","interactions":[],"lastModifiedDate":"2015-12-22T13:11:17","indexId":"70160532","displayToPublicDate":"2015-12-03T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Biodegradability of dissolved organic carbon in permafrost soils and aquatic systems: a meta-analysis","docAbstract":"As Arctic regions warm and frozen soils thaw, the large organic carbon pool stored in permafrost becomes increasingly vulnerable to decomposition or transport. The transfer of newly mobilized carbon to the atmosphere and its potential influence upon climate change will largely depend on the degradability of carbon delivered to aquatic ecosystems. Dissolved organic carbon (DOC) is a key regulator of aquatic metabolism, yet knowledge of the mechanistic controls on DOC biodegradability is currently poor due to a scarcity of long-term data sets, limited spatial coverage of available data, and methodological diversity. Here, we performed parallel biodegradable DOC (BDOC) experiments at six Arctic sites (16 experiments) using a standardized incubation protocol to examine the effect of methodological differences commonly used in the literature. We also synthesized results from 14 aquatic and soil leachate BDOC studies from across the circum-arctic permafrost region to examine pan-arctic trends in BDOC.
An increasing extent of permafrost across the landscape resulted in higher DOC losses in both soil and aquatic systems. We hypothesize that the unique composition of (yedoma) permafrost-derived DOC combined with limited prior microbial processing due to low soil temperature and relatively short flow path lengths and transport times, contributed to a higher overall terrestrial and freshwater DOC loss. Additionally, we found that the fraction of BDOC decreased moving down the fluvial network in continuous permafrost regions, i.e. from streams to large rivers, suggesting that highly biodegradable DOC is lost in headwater streams. We also observed a seasonal (January–December) decrease in BDOC in large streams and rivers, but saw no apparent change in smaller streams or soil leachates. We attribute this seasonal change to a combination of factors including shifts in carbon source, changing DOC residence time related to increasing thaw-depth, increasing water temperatures later in the summer, as well as decreasing hydrologic connectivity between soils and surface water as the thaw season progresses. Our results suggest that future climate warming-induced shifts of continuous permafrost into discontinuous permafrost regions could affect the degradation potential of thaw-released DOC, the amount of BDOC, as well as its variability throughout the Arctic summer. We lastly recommend a standardized BDOC protocol to facilitate the comparison of future work and improve our knowledge of processing and transport of DOC in a changing Arctic.
","language":"English","publisher":"Copernicus on behalf of the European Geosciences Union","doi":"10.5194/bg-12-6915-2015","usgsCitation":"Vonk, J.E., Tank, S.E., Paul J. Mann, Spencer, R.G., Treat, C.C., Striegl, R.G., Abbott, B.W., and Wickland, K.P., 2015, Biodegradability of dissolved organic carbon in permafrost soils and aquatic systems: a meta-analysis: Biogeosciences, v. 12, p. 6915-6930, https://doi.org/10.5194/bg-12-6915-2015.","productDescription":"16 p.","startPage":"6915","endPage":"6930","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066103","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":471584,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-12-6915-2015","text":"Publisher Index Page"},{"id":312733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-03","publicationStatus":"PW","scienceBaseUri":"567a8239e4b0a04ef490fcda","contributors":{"authors":[{"text":"Vonk, Jorien E.","contributorId":150794,"corporation":false,"usgs":false,"family":"Vonk","given":"Jorien","email":"","middleInitial":"E.","affiliations":[{"id":18101,"text":"Utrecht University, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":583064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tank, Suzanne E.","contributorId":150795,"corporation":false,"usgs":false,"family":"Tank","given":"Suzanne","email":"","middleInitial":"E.","affiliations":[{"id":18102,"text":"University of Alberta, Edmonton, Canada","active":true,"usgs":false}],"preferred":false,"id":583065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paul J. Mann","contributorId":150796,"corporation":false,"usgs":false,"family":"Paul J. Mann","affiliations":[{"id":18103,"text":"Northumbria University, Newcastle Upon Tyne, UK","active":true,"usgs":false}],"preferred":false,"id":583066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spencer, Robert G.M.","contributorId":150797,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert","email":"","middleInitial":"G.M.","affiliations":[{"id":18104,"text":"Florida State University, Tallahassee","active":true,"usgs":false}],"preferred":false,"id":583067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Treat, Claire C.","contributorId":150798,"corporation":false,"usgs":false,"family":"Treat","given":"Claire","email":"","middleInitial":"C.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":583068,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":583063,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Abbott, Benjamin W.","contributorId":150799,"corporation":false,"usgs":false,"family":"Abbott","given":"Benjamin","email":"","middleInitial":"W.","affiliations":[{"id":18106,"text":"Universite de Rennes, Rennes, France","active":true,"usgs":false}],"preferred":false,"id":583069,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wickland, Kimberly P. 0000-0002-6400-0590 kpwick@usgs.gov","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":1835,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","email":"kpwick@usgs.gov","middleInitial":"P.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":583070,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70160391,"text":"70160391 - 2015 - Early Permian conodont fauna and stratigraphy of the Garden Valley Formation, Eureka County, Nevada","interactions":[],"lastModifiedDate":"2015-12-21T11:03:54","indexId":"70160391","displayToPublicDate":"2015-12-03T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Early Permian conodont fauna and stratigraphy of the Garden Valley Formation, Eureka County, Nevada","docAbstract":"The lower Part of the Garden Valley Formation yields two distinct conodont faunas. One of late Asselian age dominated by Mesogondolella and Streptognathodus and one of Artinskian age dominated by Sweetognathus with Mesogondolella. The Asselian fauna contains the same species as those found in the type area of the Asselian in the southern Urals including Mesogondolella dentiseparata, described for the first time outside of the Urals. Apparatuses for Sweetognathus whitei, Diplognathodus stevensi, and Idioprioniodus sp. are described. The Garden Valley Formation represents a marine pro-delta basin and platform, and marine and shore fan delta complex deposition. The fan-delta complex was most likely deposited from late Artinskian to lateWordian. The Garden Valley Formation records tremendous swings in depositional setting from shallow-water to basin to shore.
","language":"English","publisher":"Micropaleontology Press","usgsCitation":"Wardlaw, B.R., Gallegos, D.M., Chernykh, V.V., and Snyder, W.S., 2015, Early Permian conodont fauna and stratigraphy of the Garden Valley Formation, Eureka County, Nevada: Stratigraphy, v. 12, no. 2, p. 197-215.","productDescription":"19 p.","startPage":"197","endPage":"215","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039095","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":312593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312591,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-319/article-1948","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nevada","county":"Eureka County","otherGeospatial":"Sulphur Springs Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.3,\n 39.3\n ],\n [\n -116.3,\n 41\n ],\n [\n -115.9,\n 41\n ],\n [\n -115.9,\n 39.3\n ],\n [\n -116.3,\n 39.3\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"567930c5e4b0da412f4fb550","contributors":{"authors":[{"text":"Wardlaw, Bruce R. bwardlaw@usgs.gov","contributorId":266,"corporation":false,"usgs":true,"family":"Wardlaw","given":"Bruce","email":"bwardlaw@usgs.gov","middleInitial":"R.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":582814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallegos, Dora M.","contributorId":150734,"corporation":false,"usgs":false,"family":"Gallegos","given":"Dora","email":"","middleInitial":"M.","affiliations":[{"id":18082,"text":"Albertson College of Idaho","active":true,"usgs":false}],"preferred":false,"id":582816,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Chernykh, Valery V.","contributorId":150733,"corporation":false,"usgs":false,"family":"Chernykh","given":"Valery","email":"","middleInitial":"V.","affiliations":[{"id":18081,"text":"Rusian Academy of Science","active":true,"usgs":false}],"preferred":false,"id":582815,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Snyder, Walter S.","contributorId":150735,"corporation":false,"usgs":false,"family":"Snyder","given":"Walter","email":"","middleInitial":"S.","affiliations":[{"id":18083,"text":"Boise State Univ.","active":true,"usgs":false}],"preferred":false,"id":582817,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70193079,"text":"70193079 - 2015 - Variability within nearshore ecosystems of the Gulf of Alaska","interactions":[],"lastModifiedDate":"2017-12-21T10:21:20","indexId":"70193079","displayToPublicDate":"2015-12-03T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Variability within nearshore ecosystems of the Gulf of Alaska","docAbstract":"Nearshore marine habitats, which represent the interface among air, land and sea, form a critical component of the Gulf of Alaska (GOA) ecosystem. As an interface, the nearshore facilitates transfer of water, nutrients and biota between terrestrial and oceanic systems, creating zones of high productivity. The nearshore provides a variety of ecosystem services, including (1) nursery grounds for a wide variety of marine invertebrates and fishes (e.g., crabs, salmon, and herring), (2) nesting and pupping habitats for many pelagic marine predators (e.g., sea bird nesting colonies and pinniped rookeries), (3) important feeding habitats for high trophic level pelagic predators (e.g., killer whales), (4) habitat for resident nearshore species (including sea otters, harbor seals, shorebirds, sea ducks, nearshore fishes, and marine invertebrates), many of which are important sources of commercial and subsistence harvests, and (5) recreational, commercial and subsistence opportunities for human populations (Figure 1-1). The canopy forming kelps and eel grass beds found in the nearshore provide primary production and structure to nursery habitats, and also can dissipate wave energy thus reducing coastal erosion, and serve as a carbon “sink” capable of storing substantial amounts of atmospheric CO2 (Wilmers et al. 2012).
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Quantifying temporal and spatial ecosystem variability across the northern Gulf of Alaska to understand mechanisms of change. Science synthesis report for the Gulf Watch Alaska Program","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Exxon Valdez Oil Spill Trustee Council","usgsCitation":"Ballachey, B.E., Bodkin, J.L., Coletti, H.A., Dean, T.A., Esler, D., Esslinger, G.G., Iken, K., Kloecker, K.A., Konar, B., Lindeberg, M., Monson, D., Shepherd, M., and Weitzman, B., 2015, Variability within nearshore ecosystems of the Gulf of Alaska, 6 p.","productDescription":"6 p.","ipdsId":"IP-060174","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":350153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fe47e4b06e28e9c252dd","contributors":{"authors":[{"text":"Ballachey, Brenda E. 0000-0003-1855-9171 bballachey@usgs.gov","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":2966,"corporation":false,"usgs":true,"family":"Ballachey","given":"Brenda","email":"bballachey@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":717879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":717880,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coletti, Heather 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kkloecker@usgs.gov","orcid":"https://orcid.org/0000-0002-2461-968X","contributorId":3442,"corporation":false,"usgs":true,"family":"Kloecker","given":"Kimberly","email":"kkloecker@usgs.gov","middleInitial":"A.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":717886,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Konar, Brenda","contributorId":131034,"corporation":false,"usgs":false,"family":"Konar","given":"Brenda","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":717887,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lindeberg, Mandy","contributorId":195895,"corporation":false,"usgs":false,"family":"Lindeberg","given":"Mandy","email":"","affiliations":[],"preferred":false,"id":717888,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Monson, Daniel 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":196670,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel","email":"dmonson@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":717889,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Shepherd, Marnie","contributorId":171548,"corporation":false,"usgs":false,"family":"Shepherd","given":"Marnie","email":"","affiliations":[],"preferred":false,"id":717890,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Weitzman, Ben P. 0000-0001-7559-3654 bweitzman@usgs.gov","orcid":"https://orcid.org/0000-0001-7559-3654","contributorId":5123,"corporation":false,"usgs":true,"family":"Weitzman","given":"Ben P.","email":"bweitzman@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science 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,{"id":70159779,"text":"ofr20151227 - 2015 - A framework for decision points to trigger adaptive management actions in long-term incidental take permits","interactions":[],"lastModifiedDate":"2017-11-22T14:22:46","indexId":"ofr20151227","displayToPublicDate":"2015-12-02T18:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1227","title":"A framework for decision points to trigger adaptive management actions in long-term incidental take permits","docAbstract":"Introduction
\nThe U.S. Fish and Wildlife Service (USFWS) has begun to issue incidental take permits (ITPs) to wind power companies to allow limited take of bird and bat species that are protected under the Endangered Species Act, the Bald and Golden Eagle Protection Act, or the Migratory Bird Treaty Act (Huso and others, 2015). Expected take rates are determined using scientifically based collision-risk models and knowledge about the ecology of the population of interest. ITPs often include mitigation requirements to compensate for estimated take and further describe (1) adaptive management actions (AMAs) that may be required to reduce take rates if permitted rate is exceeded, or (2) additional compensatory mitigation to offset take that exceeds permitted levels.
\nConfirming the accuracy of predicted take and providing evidence that permitted take levels have not been exceeded can be challenging because carcasses may be detected with probability much less than 1, and often no carcasses are observed. When detection probability is high, finding 0 carcasses can be interpreted as evidence that none (or few) were actually killed. As the probability of observing an individual decreases, the likelihood of missing carcasses increases, making it unclear how to interpret having observed 0 (or few) carcasses. In a practical sense, the consequences of incorrect inference can be significant: overestimating take could result in costly and unjustified mitigation, whereas underestimating could result in unanticipated declines in species populations already at risk.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151227","collaboration":"Prepared in cooperation with U.S. Fish and Wildlife Service","usgsCitation":"Dalthorp, Daniel, and Huso, Manuela, 2015, A framework for decision points to trigger adaptive management actions in long-term incidental take permits: U.S. Geological Survey Open-File Report 2015-1227, 88 p., https://dx.doi.org/10.3133/ofr20151227.","productDescription":"vi, 88 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-068559","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":311799,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1227/coverthb.jpg"},{"id":311800,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1227/ofr20151227.pdf","text":"Report","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1227"}],"contact":"Director, Forest and Rangeland Ecosystem Science Center
U.S. Geological Survey
777 NW 9th St., Suite 400
Corvallis, Oregon 97330
http://fresc.usgs.gov/
","tableOfContents":"\n- Introduction
\n- Specific Definitions
\n- Evaluating Trigger Performance
\n- Acknowledgments
\n- References Cited
\n
","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2015-12-02","noUsgsAuthors":false,"publicationDate":"2015-12-02","publicationStatus":"PW","scienceBaseUri":"56601627e4b071e7ea544c98","contributors":{"authors":[{"text":"Dalthorp, Daniel 0000-0002-4815-6309 ddalthorp@usgs.gov","orcid":"https://orcid.org/0000-0002-4815-6309","contributorId":4902,"corporation":false,"usgs":true,"family":"Dalthorp","given":"Daniel","email":"ddalthorp@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":580416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huso, Manuela M. 0000-0003-4687-6625 mhuso@usgs.gov","orcid":"https://orcid.org/0000-0003-4687-6625","contributorId":150012,"corporation":false,"usgs":true,"family":"Huso","given":"Manuela","email":"mhuso@usgs.gov","middleInitial":"M.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":580415,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70158596,"text":"fs20153069 - 2015 - Assessment of undiscovered sandstone-hosted uranium resources in the Texas Coastal Plain, 2015","interactions":[],"lastModifiedDate":"2018-10-29T08:44:53","indexId":"fs20153069","displayToPublicDate":"2015-12-02T09:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3069","title":"Assessment of undiscovered sandstone-hosted uranium resources in the Texas Coastal Plain, 2015","docAbstract":"The U.S. Geological Survey estimated a mean of 220 million pounds of recoverable uranium oxide (U3O8 ) remaining as potential undiscovered resources in southern Texas. This estimate used a geology-based assessment method for Tertiary sandstone-hosted uranium deposits in the Texas Coastal Plain sedimentary strata (fig.1).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153069","usgsCitation":"U.S. Geological Survey Assessment Team, 2015, Assessment of undiscovered sandstone-hosted uranium resources in the Texas Coastal Plain, 2015: U.S. Geological Survey Fact Sheet 2015–3069, 4 p., https://dx.doi.org/10.3133/fs20153069.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066466","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":311278,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2015/3069/coverthb.jpg"},{"id":311279,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3069/fs20153069.pdf","text":"Report","size":"12.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2015-3069"}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.1630859375,\n 26.15543796871355\n ],\n [\n -97.55859375,\n 25.760319754713887\n ],\n [\n -97.998046875,\n 26.07652055985697\n ],\n [\n -98.4375,\n 26.115985925333536\n ],\n [\n -99.0966796875,\n 26.509904531413927\n ],\n [\n -99.5361328125,\n 27.21555620902969\n ],\n [\n -100.2392578125,\n 27.839076094777816\n ],\n [\n -100.8544921875,\n 29.113775395114416\n ],\n [\n -101.2060546875,\n 29.53522956294847\n ],\n [\n -101.0302734375,\n 30.524413269923986\n ],\n [\n -99.052734375,\n 30.93992433102347\n ],\n [\n -97.2509765625,\n 31.57853542647338\n ],\n [\n -96.416015625,\n 32.58384932565662\n ],\n [\n -95.4052734375,\n 33.61461929233378\n ],\n [\n -95.361328125,\n 33.94335994657882\n ],\n [\n -94.5703125,\n 33.687781758439364\n ],\n [\n -93.955078125,\n 33.137551192346145\n ],\n [\n -94.1748046875,\n 31.615965936476076\n ],\n [\n -93.515625,\n 31.015278981711266\n ],\n [\n -93.8232421875,\n 30.372875188118016\n ],\n [\n -93.603515625,\n 30.14512718337613\n ],\n [\n -93.8232421875,\n 29.611670115197377\n ],\n [\n -94.7900390625,\n 29.458731185355344\n ],\n [\n -95.09765625,\n 29.152161283318915\n ],\n [\n -95.6689453125,\n 28.69058765425071\n ],\n [\n -96.1083984375,\n 28.459033019728043\n ],\n [\n -96.8994140625,\n 27.800209937418252\n ],\n [\n -97.3388671875,\n 27.0982539061379\n ],\n [\n -97.3388671875,\n 26.58852714730864\n ],\n [\n -97.1630859375,\n 26.15543796871355\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver Federal Center
Denver, CO 80225-0046
http://energy.usgs.gov/
","tableOfContents":"\n- Introduction
\n- Assessment Methodology
\n- Undiscovered Resource Summary
\n- References
\n- Additional Information
\n- Assessment Team
\n
","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2015-12-02","noUsgsAuthors":false,"publicationDate":"2015-12-02","publicationStatus":"PW","scienceBaseUri":"56601629e4b071e7ea544c9a","contributors":{"authors":[{"text":"Mihalasky, Mark J. 0000-0002-0082-3029 mjm@usgs.gov","orcid":"https://orcid.org/0000-0002-0082-3029","contributorId":3692,"corporation":false,"usgs":true,"family":"Mihalasky","given":"Mark","email":"mjm@usgs.gov","middleInitial":"J.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":576241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Susan M. 0000-0002-0931-8694 susanhall@usgs.gov","orcid":"https://orcid.org/0000-0002-0931-8694","contributorId":2481,"corporation":false,"usgs":true,"family":"Hall","given":"Susan","email":"susanhall@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":576240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":576245,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tureck, Kathleen R. ktureck@usgs.gov","contributorId":148950,"corporation":false,"usgs":true,"family":"Tureck","given":"Kathleen R.","email":"ktureck@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":576242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hannon, Mark T. mhannon@usgs.gov","contributorId":148951,"corporation":false,"usgs":true,"family":"Hannon","given":"Mark","email":"mhannon@usgs.gov","middleInitial":"T.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":576243,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Breit, George N. 0000-0003-2188-6798 gbreit@usgs.gov","orcid":"https://orcid.org/0000-0003-2188-6798","contributorId":1480,"corporation":false,"usgs":true,"family":"Breit","given":"George","email":"gbreit@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":576244,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zielinski, Robert A. 0000-0002-4047-5129 rzielinski@usgs.gov","orcid":"https://orcid.org/0000-0002-4047-5129","contributorId":1593,"corporation":false,"usgs":true,"family":"Zielinski","given":"Robert","email":"rzielinski@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":576246,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Elliott, Brent","contributorId":148952,"corporation":false,"usgs":false,"family":"Elliott","given":"Brent","email":"","affiliations":[{"id":17599,"text":"Texas Bureau of Economic Geology","active":true,"usgs":false}],"preferred":false,"id":576247,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70154781,"text":"70154781 - 2015 - Petrology and reservoir quality of the Gaikema Sandstone: Initial impressions","interactions":[],"lastModifiedDate":"2017-06-07T11:05:40","indexId":"70154781","displayToPublicDate":"2015-12-02T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":102,"text":"Alaska Division of Geological & Geophysical Surveys Preliminary Interpretive Report","active":false,"publicationSubtype":{"id":2}},"chapter":"7","title":"Petrology and reservoir quality of the Gaikema Sandstone: Initial impressions","docAbstract":"The Division of Geological & Geophysical Surveys (DGGS) and Division of Oil & Gas (DOG) are currently conducting a study of the hydrocarbon potential of Cook Inlet basin (LePain and others, 2011). The Tertiary stratigraphic section of the basin includes coal-bearing units that are prolific gas reservoirs, particularly the Neogene sandstones. The Paleogene sandstones are locally prolific oil reservoirs that are sourced largely from the underlying Middle Jurassic Tuxedni Group. Several large structures act as hydrocarbon traps and the possibility exists for stratigraphic traps although this potential has not been fully exploited. As part of this study a significant number of Tertiary sandstones from the basin have been already collected and analyzed (Helmold and others, 2013). Recent field programs have shifted attention to the Mesozoic stratigraphic section to ascertain whether it contains potential hydrocarbon reservoirs. During the 2013 Cook Inlet field season, two days were spent on the Iniskin Peninsula examining outcrops of the Middle Jurassic Gaikema Sandstone along the south shore of Chinitna Bay (fig. 7-1). A stratigraphic section approximately 34 m in thickness was measured and a detailed description was initiated (Stanley and others, 2015), but due to deteriorating weather it was not possible to complete the description. During the 2014 field season two additional days were spent completing work on the Gaikema section. Analyses of thin sections from six of the samples collected in 2013 are available for incorporation in this report (table 7-1). Data from samples collected during the 2014 field season will be included in future reports.
","language":"English","publisher":"Alaska Division of Geological and Geophysical Surveys","publisherLocation":"Anchorage, AK","doi":"10.14509/29462","usgsCitation":"Helmold, K.P., and Stanley, R.G., 2015, Petrology and reservoir quality of the Gaikema Sandstone: Initial impressions: Alaska Division of Geological & Geophysical Surveys Preliminary Interpretive Report, 6 p., https://doi.org/10.14509/29462.","productDescription":"6 p.","startPage":"43","endPage":"48","ipdsId":"IP-062972","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":471585,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/29462","text":"Publisher Index Page"},{"id":342211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Chinitna Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153.27,\n 59.8\n ],\n [\n -153.05,\n 59.8\n ],\n [\n -153.05,\n 59.875\n ],\n [\n -153.27,\n 59.875\n ],\n [\n -153.27,\n 59.8\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593910afe4b0764e6c5e8874","contributors":{"authors":[{"text":"Helmold, Kenneth P.","contributorId":69456,"corporation":false,"usgs":true,"family":"Helmold","given":"Kenneth","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":564131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":564130,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70157159,"text":"70157159 - 2015 - Rapid characterization of the 2015 Mw 7.8 Gorkha, Nepal, earthquake sequence and its seismotectonic context","interactions":[],"lastModifiedDate":"2015-12-23T16:03:33","indexId":"70157159","displayToPublicDate":"2015-12-01T17:00:00","publicationYear":"2015","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":"Rapid characterization of the 2015 Mw 7.8 Gorkha, Nepal, earthquake sequence and its seismotectonic context","docAbstract":"Earthquake response and related information products are important for placing recent seismic events into context and particularly for understanding the impact earthquakes can have on the regional community and its infrastructure. These tools are even more useful if they are available quickly, ahead of detailed information from the areas affected by such earthquakes. Here we provide an overview of the response activities and related information products generated and provided by the U.S. Geological Survey National Earthquake Information Center in association with the 2015 M 7.8 Gorkha, Nepal, earthquake. This group monitors global earthquakes 24 hrs/day and 7 days/week to provide rapid information on the location and size of recent events and to characterize the source properties, tectonic setting, and potential fatalities and economic losses associated with significant earthquakes. We present the timeline over which these products became available, discuss what they tell us about the seismotectonics of the Gorkha earthquake and its aftershocks, and examine how their information is used today, and might be used in the future, to help mitigate the impact of such natural disasters.
","language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0220150145","usgsCitation":"Hayes, G.P., Briggs, R.W., Barnhart, W.D., Yeck, W.L., McNamara, D.E., Wald, D.J., Nealy, J., Benz, H.M., Gold, R.D., Jaiswal, K.S., Marano, K., Earle, P.S., Hearne, M., Smoczyk, G.M., Wald, L.A., and Samsonov, S., 2015, Rapid characterization of the 2015 Mw 7.8 Gorkha, Nepal, earthquake sequence and its seismotectonic context: Seismological Research Letters, v. 86, no. 6, p. 1557-1567, https://doi.org/10.1785/0220150145.","productDescription":"11 p.","startPage":"1557","endPage":"1567","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068573","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":312846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nepal","geographicExtents":"{\n \"type\": 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,{"id":70157409,"text":"70157409 - 2015 - Seismic hazard in the eastern United States","interactions":[],"lastModifiedDate":"2015-12-23T15:43:41","indexId":"70157409","displayToPublicDate":"2015-12-01T16:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Seismic hazard in the eastern United States","docAbstract":"The U.S. Geological Survey seismic hazard maps for the central and eastern United States were updated in 2014. We analyze results and changes for the eastern part of the region. Ratio maps are presented, along with tables of ground motions and deaggregations for selected cities. The Charleston fault model was revised, and a new fault source for Charlevoix was added. Background seismicity sources utilized an updated catalog, revised completeness and recurrence models, and a new adaptive smoothing procedure. Maximum-magnitude models and ground motion models were also updated. Broad, regional hazard reductions of 5%–20% are mostly attributed to new ground motion models with stronger near-source attenuation. The revised Charleston fault geometry redistributes local hazard, and the new Charlevoix source increases hazard in northern New England. Strong increases in mid- to high-frequency hazard at some locations—for example, southern New Hampshire, central Virginia, and eastern Tennessee—are attributed to updated catalogs and/or smoothing.
","language":"English","publisher":"Earthquake Engineering Research Institute","publisherLocation":"Berkeley","doi":"10.1193/110414EQS182M","usgsCitation":"Mueller, C., Boyd, O.S., Petersen, M.D., Moschetti, M.P., Rezaeian, S., and Shumway, A., 2015, Seismic hazard in the eastern United States: Earthquake Spectra, v. 31, no. 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,{"id":70157081,"text":"70157081 - 2015 - Evaluating predictors of local dabbling duck abundance during migration: Managing the spectrum of conditions faced by migrants","interactions":[],"lastModifiedDate":"2015-12-21T15:31:10","indexId":"70157081","displayToPublicDate":"2015-12-01T16:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3764,"text":"Wildfowl","onlineIssn":"2052-6458","printIssn":"0954-6324","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating predictors of local dabbling duck abundance during migration: Managing the spectrum of conditions faced by migrants","docAbstract":"The development of robust modelling techniques to derive inferences from large-scale migratory bird monitoring data at appropriate scales has direct relevance to their management. The Integrated Waterbird Management and Monitoring programme (IWMM) represents one of the few attempts to monitor migrating waterbirds across entire flyways using targeted local surveys. This dataset included 13,208,785 waterfowl (eight Anas species) counted during 28,000 surveys at nearly 1,000 locations across the eastern United States between autumn 2010 and spring 2013 and was used to evaluate potential predictors of waterfowl abundance at the wetland scale. Mixed-effects, log-linear models of local abundance were built for the Atlantic and Mississippi flyways during spring and autumn migration to identify factors relating to habitat structure, forage availability, and migration timing that influence target dabbling duck species abundance. Results indicated that migrating dabbling ducks responded differently to environmental factors. While the factors identified demonstrated a high degree of importance, they were inconsistent across species, flyways and seasons. Furthermore, the direction and magnitude of the importance of each covariate group considered here varied across species. Given our results, actionable policy recommendations are likely to be most effective if they consider species-level variation within targeted taxonomic units and across management areas. The methods implemented here can easily be applied to other contexts, and serve as a novel investigation into local-level population patterns using data from broad-scale monitoring programmes.
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,{"id":70156911,"text":"70156911 - 2015 - Factors associated with the deposition of Cladophora on Lake Michigan beaches in 2012","interactions":[],"lastModifiedDate":"2015-12-21T15:15:00","indexId":"70156911","displayToPublicDate":"2015-12-01T16:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Factors associated with the deposition of Cladophora on Lake Michigan beaches in 2012","docAbstract":"Deposition of the macroalgae Cladophora spp. was monitored on 18 beaches around Lake Michigan during 2012 at a high temporal frequency. We observed a high degree of spatial variability in Cladophora deposition among beaches on Lake Michigan, even within local regions, with no clear regional pattern in the intensity of Cladophora deposition. A strong seasonal pattern in Cladophora deposition was observed, with the heaviest deposition occurring during mid-summer. Several beaches exhibited high temporal variability in Cladophora deposition over short time scales, suggesting that drifting algal mats may be extremely dynamic in nearshore environments of the Great Lakes. Cladophora deposition on Lake Michigan beaches was primarily related to the presence of nearshore structures, local population density, and nearshore bathymetry. There was relatively little evidence that waves, winds, or currents were associated with Cladophora deposition on beaches, but this may be due to the relatively poor resolution of existing nearshore hydrodynamic data. Developing a predictive understanding of beach-cast Cladophora dynamics in Great Lakes environments may require both intensive Cladophora monitoring and fine-scale local hydrodynamic modeling efforts.
","language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Toronto","doi":"10.1016/j.jglr.2015.09.008","collaboration":"CSS-Dynamac; USGS Michigan Water Science Center; National Park Service","usgsCitation":"Riley, S.C., Tucker, T.R., Adams, J.V., Fogarty, L.R., and Lafrancois, B.M., 2015, Factors associated with the deposition of Cladophora on Lake Michigan beaches in 2012: Journal of Great Lakes Research, v. 41, no. 4, p. 1094-1105, https://doi.org/10.1016/j.jglr.2015.09.008.","productDescription":"12 p.","startPage":"1094","endPage":"1105","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063264","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":312650,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Michigan, Wisconsin","otherGeospatial":"Lake Michigan beaches","volume":"41","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"567930c7e4b0da412f4fb561","contributors":{"authors":[{"text":"Riley, Stephen C. 0000-0002-8968-8416 sriley@usgs.gov","orcid":"https://orcid.org/0000-0002-8968-8416","contributorId":2661,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen","email":"sriley@usgs.gov","middleInitial":"C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":571125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tucker, Taaja R. 0000-0003-1534-4677 trtucker@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-4677","contributorId":5172,"corporation":false,"usgs":true,"family":"Tucker","given":"Taaja","email":"trtucker@usgs.gov","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":571126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":571127,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fogarty, Lisa R. 0000-0003-0329-3251 lrfogart@usgs.gov","orcid":"https://orcid.org/0000-0003-0329-3251","contributorId":2053,"corporation":false,"usgs":true,"family":"Fogarty","given":"Lisa","email":"lrfogart@usgs.gov","middleInitial":"R.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":571128,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lafrancois, Brenda Moraska","contributorId":68559,"corporation":false,"usgs":true,"family":"Lafrancois","given":"Brenda","email":"","middleInitial":"Moraska","affiliations":[],"preferred":false,"id":571129,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70186222,"text":"70186222 - 2015 - Forty years of grizzly bear recovery in the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2020-10-29T21:03:34.152851","indexId":"70186222","displayToPublicDate":"2015-12-01T16:00:27","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3802,"text":"Yellowstone Science","active":true,"publicationSubtype":{"id":10}},"title":"Forty years of grizzly bear recovery in the Greater Yellowstone Ecosystem","docAbstract":"No abstract available.
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,{"id":70159863,"text":"70159863 - 2015 - Depth, ice thickness, and ice-out timing cause divergent hydrologic responses among Arctic lakes","interactions":[],"lastModifiedDate":"2018-02-04T13:30:21","indexId":"70159863","displayToPublicDate":"2015-12-01T15:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Depth, ice thickness, and ice-out timing cause divergent hydrologic responses among Arctic lakes","docAbstract":"Lakes are prevalent in the Arctic and thus play a key role in regional hydrology. Since many Arctic lakes are shallow and ice grows thick (historically 2-m or greater), seasonal ice commonly freezes to the lake bed (bedfast ice) by winter's end. Bedfast ice fundamentally alters lake energy balance and melt-out processes compared to deeper lakes that exceed the maximum ice thickness (floating ice) and maintain perennial liquid water below floating ice. Our analysis of lakes in northern Alaska indicated that ice-out of bedfast ice lakes occurred on average 17 days earlier (22-June) than ice-out on adjacent floating ice lakes (9-July). Earlier ice-free conditions in bedfast ice lakes caused higher open-water evaporation, 28% on average, relative to floating ice lakes and this divergence increased in lakes closer to the coast and in cooler summers. Water isotopes (18O and 2H) indicated similar differences in evaporation between these lake types. Our analysis suggests that ice regimes created by the combination of lake depth relative to ice thickness and associated ice-out timing currently cause a strong hydrologic divergence among Arctic lakes. Thus understanding the distribution and dynamics of lakes by ice regime is essential for predicting regional hydrology. An observed regime shift in lakes to floating ice conditions due to thinner ice growth may initially offset lake drying because of lower evaporative loss from this lake type. This potential negative feedback caused by winter processes occurs in spite of an overall projected increase in evapotranspiration as the Arctic climate warms.
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,{"id":70160657,"text":"70160657 - 2015 - Non-invasive flow path characterization in a mining-impacted wetland","interactions":[],"lastModifiedDate":"2018-09-04T15:29:32","indexId":"70160657","displayToPublicDate":"2015-12-01T15:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Non-invasive flow path characterization in a mining-impacted wetland","docAbstract":"Time-lapse electrical resistivity (ER) was used to capture the dilution of a seasonal pulse of acid mine drainage (AMD) contamination in the subsurface of a wetland downgradient of the abandoned Pennsylvania mine workings in central Colorado. Data were collected monthly from mid-July to late October of 2013, with an additional dataset collected in June of 2014. Inversion of the ER data shows the development through time of multiple resistive anomalies in the subsurface, which corroborating data suggest are driven by changes in total dissolved solids (TDS) localized in preferential flow pathways. Sensitivity analyses on a synthetic model of the site suggest that the anomalies would need to be at least several meters in diameter to be adequately resolved by the inversions. The existence of preferential flow paths would have a critical impact on the extent of attenuation mechanisms at the site, and their further characterization could be used to parameterize reactive transport models in developing quantitative predictions of remediation strategies.
","language":"English","publisher":"Elsevier","publisherLocation":"New York","doi":"10.1016/j.jconhyd.2015.10.002","usgsCitation":"Bethune, J., Randell, J., Runkel, R.L., and Singha, K., 2015, Non-invasive flow path characterization in a mining-impacted wetland: Journal of Contaminant Hydrology, v. 183, p. 29-39, https://doi.org/10.1016/j.jconhyd.2015.10.002.","productDescription":"11 p.","startPage":"29","endPage":"39","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066981","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":471587,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jconhyd.2015.10.002","text":"Publisher Index Page"},{"id":312932,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.24603271484375,\n 39.257778150283336\n ],\n [\n -106.24603271484375,\n 39.85915479295669\n ],\n [\n -105.08697509765625,\n 39.85915479295669\n ],\n [\n -105.08697509765625,\n 39.257778150283336\n ],\n [\n -106.24603271484375,\n 39.257778150283336\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"183","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56826b46e4b0a04ef4925b88","contributors":{"authors":[{"text":"Bethune, James","contributorId":150889,"corporation":false,"usgs":false,"family":"Bethune","given":"James","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":583484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Randell, Jackie","contributorId":150890,"corporation":false,"usgs":false,"family":"Randell","given":"Jackie","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":583485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":583483,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Singha, Kamini","contributorId":76733,"corporation":false,"usgs":true,"family":"Singha","given":"Kamini","affiliations":[],"preferred":false,"id":583486,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70160877,"text":"70160877 - 2015 - A new record of the late Pleistocene coral Pocillopora palmata from the Dry Tortugas, Florida reef tract, USA","interactions":[],"lastModifiedDate":"2016-01-04T13:31:13","indexId":"70160877","displayToPublicDate":"2015-12-01T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3000,"text":"Palaios","active":true,"publicationSubtype":{"id":10}},"title":"A new record of the late Pleistocene coral Pocillopora palmata from the Dry Tortugas, Florida reef tract, USA","docAbstract":"Pocilloporid corals dominated shallow-water environments in the Caribbean during much of the Cenozoic; however, the regional diversity of this family declined over the last 15 My, culminating with the extinction of its final member, Pocillopora palmata, during the latest Pleistocene. Here we present a new record of P. palmata from Dry Tortugas National Park in the Florida Keys and infer its likely age. Although most existing records of P. palmata are from the sub-aerial reef deposits of MIS5e (∼ 125 ka), the presently submerged reef in the Dry Tortugas was too deep (> 18 m) during this period to support significant reef growth. In contrast, the maximum water depth during MIS5a (∼ 82 ka) was only ∼ 5.6 m, which would have been ideal for P. palmata. Diagenetic alteration prevented direct dating of the samples; however, the similarity between the depths of the Pleistocene bedrock in the Dry Tortugas and other reefs in the Florida Keys, which have been previously dated to MIS5a, support the conclusion that P. palmata likely grew in the Dry Tortugas during this period. Our study provides important new information on the history of P. palmata, but it also highlights the vital need for more comprehensive studies of the Quaternary history of Caribbean reef development. With modern reef degradation already driving yet another restructuring of Caribbean coral assemblages, insights from past extinctions may prove critical in determining the prognosis of Caribbean reefs in the future.
","language":"English","publisher":"Society for Sedimentary Geology (SEPM)","publisherLocation":"Tulsa, OK","doi":"10.2110/palo.2015.030","collaboration":"Ilsa B. Kuffner (USGS), Hai Cheng (U. Minnesota), and R. Lawrence Edwards (U. Minnesota)","usgsCitation":"Toth, L., Kuffner, I.B., Cheng, H., and Edwards, R.L., 2015, A new record of the late Pleistocene coral Pocillopora palmata from the Dry Tortugas, Florida reef tract, USA: Palaios, v. 30, no. 12, p. 827-835, https://doi.org/10.2110/palo.2015.030.","productDescription":"9 p.","startPage":"827","endPage":"835","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065691","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":313208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Dry Tortugas National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.8618049621582,\n 24.631023880670345\n ],\n [\n -82.86755561828613,\n 24.633286469281998\n ],\n [\n -82.8742504119873,\n 24.633754585948758\n ],\n [\n -82.88128852844238,\n 24.63110190164926\n ],\n [\n -82.8823184967041,\n 24.62610846080021\n ],\n [\n -82.88008689880371,\n 24.621114820458505\n ],\n [\n -82.86961555480957,\n 24.620958765983687\n ],\n [\n -82.86043167114258,\n 24.619944407149372\n ],\n [\n -82.85313606262206,\n 24.623299562653035\n ],\n [\n -82.85511016845702,\n 24.627590909374685\n ],\n [\n -82.8618049621582,\n 24.631023880670345\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"12","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-28","publicationStatus":"PW","scienceBaseUri":"568ba5bee4b0e7594ee77644","contributors":{"authors":[{"text":"Toth, Lauren T. ltoth@usgs.gov","contributorId":151036,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren T.","email":"ltoth@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":584128,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuffner, Ilsa B. 0000-0001-8804-7847 ikuffner@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7847","contributorId":3105,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"ikuffner@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":584129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheng, Hai","contributorId":85896,"corporation":false,"usgs":true,"family":"Cheng","given":"Hai","affiliations":[],"preferred":false,"id":584130,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, R. Lawrence","contributorId":69760,"corporation":false,"usgs":true,"family":"Edwards","given":"R.","email":"","middleInitial":"Lawrence","affiliations":[],"preferred":false,"id":584131,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70159835,"text":"70159835 - 2015 - Quantifying soil carbon loss and uncertainty from a peatland wildfire using multi-temporal LiDAR","interactions":[],"lastModifiedDate":"2015-12-01T12:46:29","indexId":"70159835","displayToPublicDate":"2015-12-01T13:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying soil carbon loss and uncertainty from a peatland wildfire using multi-temporal LiDAR","docAbstract":"Peatlands are a major reservoir of global soil carbon, yet account for just 3% of global land cover. Human impacts like draining can hinder the ability of peatlands to sequester carbon and expose their soils to fire under dry conditions. Estimating soil carbon loss from peat fires can be challenging due to uncertainty about pre-fire surface elevations. This study uses multi-temporal LiDAR to obtain pre- and post-fire elevations and estimate soil carbon loss caused by the 2011 Lateral West fire in the Great Dismal Swamp National Wildlife Refuge, VA, USA. We also determine how LiDAR elevation error affects uncertainty in our carbon loss estimate by randomly perturbing the LiDAR point elevations and recalculating elevation change and carbon loss, iterating this process 1000 times. We calculated a total loss using LiDAR of 1.10 Tg C across the 25 km2 burned area. The fire burned an average of 47 cm deep, equivalent to 44 kg C/m2, a value larger than the 1997 Indonesian peat fires (29 kg C/m2). Carbon loss via the First-Order Fire Effects Model (FOFEM) was estimated to be 0.06 Tg C. Propagating the LiDAR elevation error to the carbon loss estimates, we calculated a standard deviation of 0.00009 Tg C, equivalent to 0.008% of total carbon loss. We conclude that LiDAR elevation error is not a significant contributor to uncertainty in soil carbon loss under severe fire conditions with substantial peat consumption. However, uncertainties may be more substantial when soil elevation loss is of a similar or smaller magnitude than the reported LiDAR error.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2015.09.017","usgsCitation":"Reddy, A.D., Hawbaker, T., Wurster, F., Zhu, Z., Ward, S., Newcomb, D., and Murray, R., 2015, Quantifying soil carbon loss and uncertainty from a peatland wildfire using multi-temporal LiDAR: Remote Sensing of Environment, v. 170, p. 306-316, https://doi.org/10.1016/j.rse.2015.09.017.","productDescription":"11 p.","startPage":"306","endPage":"316","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058007","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":471590,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2015.09.017","text":"Publisher Index Page"},{"id":311766,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Great Dismal Swamp National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.52286529541016,\n 36.54522526304657\n ],\n [\n -76.52286529541016,\n 36.60726008752079\n ],\n [\n -76.46724700927734,\n 36.60726008752079\n ],\n [\n -76.46724700927734,\n 36.54522526304657\n ],\n [\n -76.52286529541016,\n 36.54522526304657\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"170","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"565ec4b2e4b071e7ea544415","chorus":{"doi":"10.1016/j.rse.2015.09.017","url":"http://dx.doi.org/10.1016/j.rse.2015.09.017","publisher":"Elsevier BV","authors":"Reddy A.D., Hawbaker T.J., Wurster F., Zhu Z., Ward S., Newcomb D., Murray R.","journalName":"Remote Sensing of Environment","publicationDate":"12/2015","auditedOn":"3/22/2016","publiclyAccessibleDate":"10/2/2015"},"contributors":{"authors":[{"text":"Reddy, Ashwan D. areddy@usgs.gov","contributorId":5347,"corporation":false,"usgs":true,"family":"Reddy","given":"Ashwan","email":"areddy@usgs.gov","middleInitial":"D.","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":580658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":580657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wurster, F.","contributorId":150077,"corporation":false,"usgs":false,"family":"Wurster","given":"F.","email":"","affiliations":[{"id":17901,"text":"US Fish and Wildlife Service, Suffolk, VA","active":true,"usgs":false}],"preferred":false,"id":580659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":580660,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ward, S.","contributorId":150079,"corporation":false,"usgs":false,"family":"Ward","given":"S.","affiliations":[{"id":17902,"text":"US Fish and Wildlife Service, Raleigh, NC","active":true,"usgs":false}],"preferred":false,"id":580661,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newcomb, Doug","contributorId":150080,"corporation":false,"usgs":false,"family":"Newcomb","given":"Doug","email":"","affiliations":[{"id":17902,"text":"US Fish and Wildlife Service, Raleigh, NC","active":true,"usgs":false}],"preferred":false,"id":580662,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Murray, R.","contributorId":150081,"corporation":false,"usgs":false,"family":"Murray","given":"R.","affiliations":[{"id":17901,"text":"US Fish and Wildlife Service, Suffolk, VA","active":true,"usgs":false}],"preferred":false,"id":580663,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70159832,"text":"70159832 - 2015 - Challenges to a molecular approach to prey identification in the Burmese python, Python molurus bivittatus","interactions":[],"lastModifiedDate":"2015-12-01T12:50:18","indexId":"70159832","displayToPublicDate":"2015-12-01T13:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Challenges to a molecular approach to prey identification in the Burmese python, Python molurus bivittatus","docAbstract":"Molecular approaches to prey identification are increasingly useful in elucidating predator–prey relationships, and we aimed to investigate the feasibility of these methods to document the species identities of prey consumed by invasive Burmese pythons in Florida. We were particularly interested in the diet of young snakes, because visual identification of prey from this size class has proven difficult. We successfully extracted DNA from the gastrointestinal contents of 43 young pythons, as well as from several control samples, and attempted amplification of DNA mini-barcodes, a 130-bp region of COX1. Using a PNA clamp to exclude python DNA, we found that prey DNA was not present in sufficient quality for amplification of this locus in 86% of our samples. All samples from the GI tracts of young pythons contained only hair, and the six samples we were able to identify to species were hispid cotton rats. This suggests that young Burmese pythons prey predominantly on small mammals and that prey diversity among snakes of this size class is low. We discuss prolonged gastrointestinal transit times and extreme gastric breakdown as possible causes of DNA degradation that limit the success of a molecular approach to prey identification in Burmese pythons
","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.1445","usgsCitation":"Falk, B., and Reed, R., 2015, Challenges to a molecular approach to prey identification in the Burmese python, Python molurus bivittatus: PeerJ, v. 3, e1445; 9 p., https://doi.org/10.7717/peerj.1445.","productDescription":"e1445; 9 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068526","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":471588,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.1445","text":"Publisher Index Page"},{"id":311767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-24","publicationStatus":"PW","scienceBaseUri":"565ec4aee4b071e7ea544407","contributors":{"authors":[{"text":"Falk, Bryan 0000-0002-9690-5626 bfalk@usgs.gov","orcid":"https://orcid.org/0000-0002-9690-5626","contributorId":150075,"corporation":false,"usgs":true,"family":"Falk","given":"Bryan","email":"bfalk@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":580646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Robert N. reedr@usgs.gov","contributorId":149307,"corporation":false,"usgs":true,"family":"Reed","given":"Robert N.","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":580647,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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