{"pageNumber":"635","pageRowStart":"15850","pageSize":"25","recordCount":68919,"records":[{"id":70046154,"text":"70046154 - 2013 - The water-quality effects of a bulkhead installed in the Dinero mine tunnel, near Leadville, Colorado","interactions":[],"lastModifiedDate":"2022-03-24T15:22:05.982569","indexId":"70046154","displayToPublicDate":"2013-01-01T10:17:47","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The water-quality effects of a bulkhead installed in the Dinero mine tunnel, near Leadville, Colorado","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Annual International Mine Water Association conference — Reliable mine water technology","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Reliable Mine Water Technology","conferenceLocation":"Golden, CO","language":"English","publisher":"International Mine Water Association","usgsCitation":"Walton-Day, K., Mills, T.J., Amundson, A., Dee, K.T., Relego, M.R., and Borbely, C., 2013, The water-quality effects of a bulkhead installed in the Dinero mine tunnel, near Leadville, Colorado, <i>in</i> Annual International Mine Water Association conference — Reliable mine water technology, v. II, Golden, CO, p. 1157-1164.","productDescription":"8 p.","startPage":"1157","endPage":"1164","ipdsId":"IP-045971","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":397465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":397464,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.imwa.info/imwaconferencesandcongresses/proceedings/278-proceedings-2013.html"}],"country":"United States","state":"Colorado","otherGeospatial":"Dinero Mine, Sugar Loaf Mining District","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.41923904418944,\n              39.226269374196264\n            ],\n            [\n              -106.37065887451172,\n              39.226269374196264\n            ],\n            [\n              -106.37065887451172,\n              39.268809522870185\n            ],\n            [\n              -106.41923904418944,\n              39.268809522870185\n            ],\n            [\n              -106.41923904418944,\n              39.226269374196264\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"II","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Brown, A.","contributorId":27825,"corporation":false,"usgs":true,"family":"Brown","given":"A.","affiliations":[],"preferred":false,"id":838657,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Figueroa, L.","contributorId":176780,"corporation":false,"usgs":false,"family":"Figueroa","given":"L.","affiliations":[],"preferred":false,"id":838658,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Wolkersdorfer, C.","contributorId":176947,"corporation":false,"usgs":false,"family":"Wolkersdorfer","given":"C.","affiliations":[],"preferred":false,"id":838659,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Walton-Day, Katherine 0000-0002-9146-6193 kwaltond@usgs.gov","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":184043,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","email":"kwaltond@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":838651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mills, Taylor J. 0000-0001-7252-0521 tmills@usgs.gov","orcid":"https://orcid.org/0000-0001-7252-0521","contributorId":4658,"corporation":false,"usgs":true,"family":"Mills","given":"Taylor","email":"tmills@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":838652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amundson, Adolph","contributorId":289187,"corporation":false,"usgs":false,"family":"Amundson","given":"Adolph","email":"","affiliations":[],"preferred":false,"id":838653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dee, Kato T.","contributorId":289188,"corporation":false,"usgs":false,"family":"Dee","given":"Kato","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":838654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Relego, Melissa R.","contributorId":289189,"corporation":false,"usgs":false,"family":"Relego","given":"Melissa","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":838655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Borbely, Caitlin","contributorId":289190,"corporation":false,"usgs":false,"family":"Borbely","given":"Caitlin","email":"","affiliations":[],"preferred":false,"id":838656,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70113284,"text":"70113284 - 2013 - SPARROW models used to understand nutrient sources in the Mississippi/Atchafalaya River Basin","interactions":[],"lastModifiedDate":"2018-02-06T12:25:58","indexId":"70113284","displayToPublicDate":"2013-01-01T10:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"SPARROW models used to understand nutrient sources in the Mississippi/Atchafalaya River Basin","docAbstract":"Nitrogen (N) and phosphorus (P) loading from the Mississippi/Atchafalaya River Basin (MARB) has been linked to hypoxia in the Gulf of Mexico. To describe where and from what sources those loads originate, SPAtially Referenced Regression On Watershed attributes (SPARROW) models were constructed for the MARB using geospatial datasets for 2002, including inputs from wastewater treatment plants (WWTPs), and calibration sites throughout the MARB. Previous studies found that highest N and P yields were from the north-central part of the MARB (Corn Belt). Based on the MARB SPARROW models, highest N yields were still from the Corn Belt but centered over Iowa and Indiana, and highest P yields were widely distributed throughout the center of the MARB. Similar to that found in other studies, agricultural inputs were found to be the largest N and P sources throughout most of the MARB: farm fertilizers were the largest N source, whereas farm fertilizers, manure, and urban inputs were dominant P sources. The MARB models enable individual N and P sources to be defined at scales ranging from SPARROW catchments (∼50 km<sup>2</sup>) to the entire area of the MARB. Inputs of P from WWTPs and urban areas were more important than found in most other studies. Information from this study will help to reduce nutrient loading from the MARB by providing managers with a description of where each of the sources of N and P are most important, thus providing a basis for prioritizing management actions and ultimately reducing the extent of Gulf hypoxia.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Agronomy","doi":"10.2134/jeq2013.02.0066","usgsCitation":"Robertson, D.M., and Saad, D.A., 2013, SPARROW models used to understand nutrient sources in the Mississippi/Atchafalaya River Basin: Journal of Environmental Quality, v. 42, no. 5, p. 1422-1440, https://doi.org/10.2134/jeq2013.02.0066.","productDescription":"19 p.","startPage":"1422","endPage":"1440","numberOfPages":"19","ipdsId":"IP-043684","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":474009,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2013.02.0066","text":"Publisher Index Page"},{"id":288956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288911,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2013.02.0066"}],"country":"United States","otherGeospatial":"Mississippi/atchafalaya River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.05,29.63 ], [ -116.05,49.0 ], [ -76.27,49.0 ], [ -76.27,29.63 ], [ -116.05,29.63 ] ] ] } } ] }","volume":"42","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-09-01","publicationStatus":"PW","scienceBaseUri":"53ae7818e4b0abf75cf2c9cc","contributors":{"authors":[{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saad, David A. dasaad@usgs.gov","contributorId":121,"corporation":false,"usgs":true,"family":"Saad","given":"David","email":"dasaad@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495041,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70125649,"text":"70125649 - 2013 - Variable intertidal temperature explains why disease endangers black abalone","interactions":[],"lastModifiedDate":"2014-09-18T09:54:26","indexId":"70125649","displayToPublicDate":"2013-01-01T09:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Variable intertidal temperature explains why disease endangers black abalone","docAbstract":"Epidemiological theory suggests that pathogens will not cause host extinctions because agents of disease should fade out when the host population is driven below a threshold density. Nevertheless, infectious diseases have threatened species with extinction on local scales by maintaining high incidence and the ability to spread efficiently even as host populations decline. Intertidal black abalone (Haliotis cracherodii), but not other abalone species, went extinct locally throughout much of southern California following the emergence of a Rickettsiales-like pathogen in the mid-1980s. The rickettsial disease, a condition known as withering syndrome (WS), and associated mortality occur at elevated water temperatures. We measured abalone body temperatures in the field and experimentally manipulated intertidal environmental conditions in the laboratory, testing the influence of mean temperature and daily temperature variability on key epizootiological processes of WS. Daily temperature variability increased the susceptibility of black abalone to infection, but disease expression occurred only at warm water temperatures and was independent of temperature variability. These results imply that high thermal variation of the marine intertidal zone allows the pathogen to readily infect black abalone, but infected individuals remain asymptomatic until water temperatures periodically exceed thresholds modulating WS. Mass mortalities can therefore occur before pathogen transmission is limited by density-dependent factors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/11-2257.1","usgsCitation":"Ben-Horin, T., Lenihan, H.S., and Lafferty, K.D., 2013, Variable intertidal temperature explains why disease endangers black abalone: Ecology, v. 94, no. 1, p. 161-168, https://doi.org/10.1890/11-2257.1.","productDescription":"8 p.","startPage":"161","endPage":"168","numberOfPages":"8","ipdsId":"IP-038449","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294035,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-2257.1"}],"volume":"94","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"541bf463e4b0e96537ddf91f","contributors":{"authors":[{"text":"Ben-Horin, Tal","contributorId":58137,"corporation":false,"usgs":false,"family":"Ben-Horin","given":"Tal","email":"","affiliations":[],"preferred":false,"id":501538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lenihan, Hunter S.","contributorId":94227,"corporation":false,"usgs":true,"family":"Lenihan","given":"Hunter","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":501539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501537,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70125273,"text":"70125273 - 2013 - A natural resource condition assessment for Sequoia and Kings Canyon National Parks: Appendix 22: climatic change","interactions":[],"lastModifiedDate":"2014-09-25T09:56:39","indexId":"70125273","displayToPublicDate":"2013-01-01T09:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SEKI/NRR--2013/665.22","title":"A natural resource condition assessment for Sequoia and Kings Canyon National Parks: Appendix 22: climatic change","docAbstract":"<p>Climate is a master controller of the structure, composition, and function of biotic communities, \naffecting them both directly, through physiological effects, and indirectly, by mediating biotic \ninteractions and by influencing disturbance regimes. Sequoia and Kings Canyon National Park’s \n(SEKI’s) dramatic elevational changes in biotic communities -- from warm mediterranean to \ncold alpine -- are but one manifestation of climate’s overarching importance in shaping SEKI’s \nlandscape. </p>\n<br>\n<p>Yet humans are now altering the global climate, with measurable effects on ecosystems (IPCC \n2007). Over the last few decades across the western United States, human-induced climatic \nchanges have likely contributed to observed declines in fraction of precipitation falling as snow \nand snowpack water content (Mote et al. 2005, Knowles et al. 2006), advance in spring \nsnowmelt (Stewart et al. 2005, Barnett et al. 2008), and consequent increase in area burned in \nwildfires (Westerling et al. 2006). In the Sierra Nevada, warming temperatures have likely \ncontributed to observed glacial recession (Basagic 2008), uphill migration of small mammals \n(Moritz et al. 2008), and increasing tree mortality rates (van Mantgem and Stephenson 2007, van \nMantgem et al. 2009). More substantial changes can be expected for the future (e.g., IPCC \n2007).</p>\n<br>\n<p>Given the central importance of climate and climatic changes, we sought to describe long-term \ntrends in temperature and precipitation at SEKI. Time and budget constraints limited us to \nanalyses of mean annual temperature and mean annual precipitation, using readily-available data. \nIf funds become available in the future, further analyses will be needed to analyze trends by \nseason, trends in daily minimum and maximum temperatures, and so on.</p>\n<br>\n<p>We chose to analyze data from individual weather stations rather than use interpolated climatic \ndata from sources such as PRISM (http://www.prism.oregonstate.edu/). In topographically \ncomplex mountainous regions with few weather stations, like SEKI, the addition or subtraction \nof even a single weather station through time has the potential to significantly bias trends in \ninterpolated data. In particular, this analysis was motivated by our questioning of some PRISM \nresults presented in Appendix 1 (Landscape Context) that compared temperature averages \nbetween two 30-year periods of the 20th Century. Figures 6 and 11 of Appendix 1 indicate that \nrecent (1971-2000) temperatures in northern Kings Canyon National Park averaged some 2° C \ncooler than those of 1911-1940. This would represent a truly profound and persistent cooling, \nand seems to be at odds both with the glacial retreats observed in the area over the century \n(Basagic 2008), and with the reported PRISM warming of nearly 2° C just to the west of the \ncooling (see Figs. 6 and 11 in Appendix 1). We suspect that the extreme localized Kings Canyon \ncooling reported by PRISM is an artifact of sparsely-distributed weather stations in the region \nbeing added and discontinued over the span of the 20th Century. For example, data from the \nWestern Regional Climate Center (http://www.wrcc.dri.edu/coopmap/) suggest that for the \nperiod 1911 through 1924 PRISM must interpolate northern Kings Canyon temperatures based \non a few low-elevation stations -- separated by hundreds of kilometers -- in Nevada and \nCalifornia’s San Joaquin Valley. In contrast, by 1970 PRISM interpolations will be dominated \nby closer, higher-elevation stations (see this report). The single weather station closest to \nnorthern Kings Canyon that has a temperature record at least partly spanning Appendix 1’s two\n30-year time periods -- the Independence station, with a relatively continuous temperature record \nstarting in 1925 -- shows a modest warming, not a cooling, between 1925-1940 and 1971-2000, \nfurther casting doubt on the Kings Canyon cooling shown in Figs. 6 and 11 of Appendix 1. If \nfunds become available, it will be useful to more formally analyze potential PRISM biases in \nlong-term SEKI climatic trends. Until then, the analyses of individual weather station records \npresented here (effectively an analysis of source data that PRISM uses) are meant to provide a \nrobust summary of climatic changes in SEKI.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"A natural resource condition assessment for Sequoia and Kings Canyon National Parks","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Das, A., and Stephenson, N.L., 2013, A natural resource condition assessment for Sequoia and Kings Canyon National Parks: Appendix 22: climatic change: Natural Resource Report NPS/SEKI/NRR--2013/665.22, v, 28 p.","productDescription":"v, 28 p.","numberOfPages":"36","ipdsId":"IP-039290","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294466,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/App/Reference/Profile/2195963"}],"country":"United States","state":"California","otherGeospatial":"Kings Canyon National Park;Sequoia National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.983208,36.118448 ], [ -118.983208,37.237613 ], [ -118.020777,37.237613 ], [ -118.020777,36.118448 ], [ -118.983208,36.118448 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252e99e4b0e641df8a6e1c","contributors":{"authors":[{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501081,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70121475,"text":"70121475 - 2013 - Monitoring vegetation response to episodic disturbance events by using multitemporal vegetation indices","interactions":[],"lastModifiedDate":"2019-07-01T11:46:55","indexId":"70121475","displayToPublicDate":"2013-01-01T09:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring vegetation response to episodic disturbance events by using multitemporal vegetation indices","docAbstract":"<p><span>Normalized Difference Vegetation Index (NDVI) derived from MODerate-resolution Imaging Spectroradiometer (MODIS) satellite imagery and land/water assessments from Landsat Thematic Mapper (TM) imagery were used to quantify the extent and severity of damage and subsequent recovery after Hurricanes Katrina and Rita of 2005 within the vegetation communities of Louisiana's coastal wetlands. Field data on species composition and total live cover were collected from 232 unique plots during multiple time periods to corroborate changes in NDVI values over time. Aprehurricane 5-year baseline time series clearly identified NDVI values by habitat type, suggesting the sensitivity of NDVI to assess and monitor phenological changes in coastal wetland habitats. Monthly data from March 2005 to November 2006 were compared to the baseline average to create a departure from average statistic. Departures suggest that over 33% (4,714 km</span><sup>2</sup><span>) of the prestorm, coastal wetlands experienced a substantial decline in the density and vigor of vegetation by October 2005 (poststorm), mostly in the east and west regions, where landfalls of Hurricanes Katrina and Rita occurred. The percentage of area of persistent vegetation damage due to long-lasting formation of new open water was 91.8% in the east and 81.0% and 29.0% in the central and west regions, respectively. Although below average NDVI values were observed in most marsh communities through November 2006, recovery of vegetation was evident. Results indicated that impacts and recovery from large episodic disturbance events that influence multiple habitat types can be accurately determined using NDVI, especially when integrated with assessments of physical landscape changes and field verifications.</span></p>","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI63-011.1","usgsCitation":"Steyer, G.D., Couvillion, B.R., and Barras, J., 2013, Monitoring vegetation response to episodic disturbance events by using multitemporal vegetation indices: Journal of Coastal Research, no. 63, p. 118-130, https://doi.org/10.2112/SI63-011.1.","productDescription":"13 p.","startPage":"118","endPage":"130","numberOfPages":"13","ipdsId":"IP-035355","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":292831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0434,28.9254 ], [ -94.0434,30.5829 ], [ -88.8162,30.5829 ], [ -88.8162,28.9254 ], [ -94.0434,28.9254 ] ] ] } } ] }","issue":"63","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f85975e4b03f038c5c1872","contributors":{"authors":[{"text":"Steyer, Gregory D. 0000-0001-7231-0110 steyerg@usgs.gov","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":2856,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","email":"steyerg@usgs.gov","middleInitial":"D.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":499102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Couvillion, Brady R. 0000-0001-5323-1687 couvillionb@usgs.gov","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":3829,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","email":"couvillionb@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":499101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barras, John A. jbarras@usgs.gov","contributorId":2425,"corporation":false,"usgs":true,"family":"Barras","given":"John A.","email":"jbarras@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":499103,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70113269,"text":"70113269 - 2013 - Reply to discussion: \"Nutrient inputs to the Laurentian Great Lakes by source and watershed estimated using SPARROW watershed models\" by R. Peter Richards, Ibrahim Alameddine, J. David Allan, David B. Baker, Nathan S. Bosch, Remegio Confesor, Joseph V. DePinto, David M. Dolan, Jeffrey M. Reutter, and Donald Scavia","interactions":[],"lastModifiedDate":"2018-02-06T12:26:08","indexId":"70113269","displayToPublicDate":"2013-01-01T09:50:00","publicationYear":"2013","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":"Reply to discussion: \"Nutrient inputs to the Laurentian Great Lakes by source and watershed estimated using SPARROW watershed models\" by R. Peter Richards, Ibrahim Alameddine, J. David Allan, David B. Baker, Nathan S. Bosch, Remegio Confesor, Joseph V. DePinto, David M. Dolan, Jeffrey M. Reutter, and Donald Scavia","docAbstract":"No abstract available.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/jawr.12060","usgsCitation":"Robertson, D.M., and Saad, D.A., 2013, Reply to discussion: \"Nutrient inputs to the Laurentian Great Lakes by source and watershed estimated using SPARROW watershed models\" by R. Peter Richards, Ibrahim Alameddine, J. David Allan, David B. Baker, Nathan S. Bosch, Remegio Confesor, Joseph V. DePinto, David M. Dolan, Jeffrey M. Reutter, and Donald Scavia: Journal of the American Water Resources Association, v. 49, no. 3, p. 725-734, https://doi.org/10.1111/jawr.12060.","productDescription":"10 p.","startPage":"725","endPage":"734","numberOfPages":"10","ipdsId":"IP-043685","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":288908,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12060"},{"id":288954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-05-13","publicationStatus":"PW","scienceBaseUri":"53ae7813e4b0abf75cf2c913","chorus":{"doi":"10.1111/jawr.12060","url":"http://dx.doi.org/10.1111/jawr.12060","publisher":"Wiley-Blackwell","authors":"Robertson Dale M., Saad David A.","journalName":"JAWRA Journal of the American Water Resources Association","publicationDate":"5/13/2013","auditedOn":"11/15/2016"},"contributors":{"authors":[{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saad, David A. dasaad@usgs.gov","contributorId":121,"corporation":false,"usgs":true,"family":"Saad","given":"David","email":"dasaad@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495034,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70121460,"text":"70121460 - 2013 - Marsh collapse thresholds for coastal Louisiana estimated using elevation and vegetation index data","interactions":[],"lastModifiedDate":"2014-08-22T09:46:03","indexId":"70121460","displayToPublicDate":"2013-01-01T09:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Marsh collapse thresholds for coastal Louisiana estimated using elevation and vegetation index data","docAbstract":"<p>Forecasting marsh collapse in coastal Louisiana as a result of changes in sea-level rise, subsidence, and accretion deficits necessitates an understanding of thresholds beyond which inundation stress impedes marsh survival. The variability in thresholds at which different marsh types cease to occur (i.e., marsh collapse) is not well understood. We utilized remotely sensed imagery, field data, and elevation data to help gain insight into the relationships between vegetation health and inundation. A Normalized Difference Vegetation Index (NDVI) dataset was calculated using remotely sensed data at peak biomass (August) and used as a proxy for vegetation health and productivity. Statistics were calculated for NDVI values by marsh type for intermediate, brackish, and saline marsh in coastal Louisiana. Marsh-type specific NDVI values of 1.5 and 2 standard deviations below the mean were used as upper and lower limits to identify conditions indicative of collapse. As marshes seldom occur beyond these values, they are believed to represent a range within which marsh collapse is likely to occur. Inundation depth was selected as the primary candidate for evaluation of marsh collapse thresholds. Elevation relative to mean water level (MWL) was calculated by subtracting MWL from an elevation dataset compiled from multiple data types including light detection and ranging (lidar) and bathymetry. A polynomial cubic regression was used to examine a random subset of pixels to determine the relationship between elevation (relative to MWL) and NDVI. The marsh collapse uncertainty range values were found by locating the intercept of the regression line with the 1.5 and 2 standard deviations below the mean NDVI value for each marsh type. Results indicate marsh collapse uncertainty ranges of 30.7–35.8 cm below MWL for intermediate marsh, 20–25.6 cm below MWL for brackish marsh, and 16.9–23.5 cm below MWL for saline marsh. These values are thought to represent the ranges of inundation depths within which marsh collapse is probable.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI63-006.1","usgsCitation":"Couvillion, B., and Beck, H., 2013, Marsh collapse thresholds for coastal Louisiana estimated using elevation and vegetation index data: Journal of Coastal Research, p. 58-67, https://doi.org/10.2112/SI63-006.1.","productDescription":"10 p.","startPage":"58","endPage":"67","numberOfPages":"10","ipdsId":"IP-035354","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":292826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292823,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/SI63-006.1"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0434,28.9254 ], [ -94.0434,30.6491 ], [ -88.8162,30.6491 ], [ -88.8162,28.9254 ], [ -94.0434,28.9254 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f8596ae4b03f038c5c1847","contributors":{"authors":[{"text":"Couvillion, Brady R. 0000-0001-5323-1687","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":98834,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady R.","affiliations":[],"preferred":false,"id":499081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beck, Holly 0000-0002-0567-9329","orcid":"https://orcid.org/0000-0002-0567-9329","contributorId":54714,"corporation":false,"usgs":true,"family":"Beck","given":"Holly","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":499080,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70118249,"text":"70118249 - 2013 - Reorganization of vegetation, hydrology and soil carbon after permafrost degradation across heterogeneous boreal landscapes","interactions":[],"lastModifiedDate":"2018-06-19T19:55:37","indexId":"70118249","displayToPublicDate":"2013-01-01T09:41:03","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Reorganization of vegetation, hydrology and soil carbon after permafrost degradation across heterogeneous boreal landscapes","docAbstract":"The diversity of ecosystems across boreal landscapes, successional changes after disturbance and complicated permafrost histories, present enormous challenges for assessing how vegetation, water and soil carbon may respond to climate change in boreal regions. To address this complexity, we used a chronosequence approach to assess changes in vegetation composition, water storage and soil organic carbon (SOC) stocks along successional gradients within four landscapes: (1) rocky uplands on ice-poor hillside colluvium, (2) silty uplands on extremely ice-rich loess, (3) gravelly–sandy lowlands on ice-poor eolian sand and (4) peaty–silty lowlands on thick ice-rich peat deposits over reworked lowland loess. In rocky uplands, after fire permafrost thawed rapidly due to low ice contents, soils became well drained and SOC stocks decreased slightly. In silty uplands, after fire permafrost persisted, soils remained saturated and SOC decreased slightly. In gravelly–sandy lowlands where permafrost persisted in drier forest soils, loss of deeper permafrost around lakes has allowed recent widespread drainage of lakes that has exposed limnic material with high SOC to aerobic decomposition. In peaty–silty lowlands, 2–4 m of thaw settlement led to fragmented drainage patterns in isolated thermokarst bogs and flooding of soils, and surface soils accumulated new bog peat. We were not able to detect SOC changes in deeper soils, however, due to high variability. Complicated soil stratigraphy revealed that permafrost has repeatedly aggraded and degraded in all landscapes during the Holocene, although in silty uplands only the upper permafrost was affected. Overall, permafrost thaw has led to the reorganization of vegetation, water storage and flow paths, and patterns of SOC accumulation. However, changes have occurred over different timescales among landscapes: over decades in rocky uplands and gravelly–sandy lowlands in response to fire and lake drainage, over decades to centuries in peaty–silty lowlands with a legacy of complicated Holocene changes, and over centuries in silty uplands where ice-rich soil and ecological recovery protect permafrost.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Institute of Physics Publishing","publisherLocation":"London, England","doi":"10.1088/1748-9326/8/3/035017","usgsCitation":"Jorgenson, M., Harden, J., Kanevskiy, M., O'Donnell, J., Wickland, K., Ewing, S., Manies, K., Zhuang, Q., Shur, Y., Striegl, R.G., and Koch, J.C., 2013, Reorganization of vegetation, hydrology and soil carbon after permafrost degradation across heterogeneous boreal landscapes: Environmental Research Letters, v. 8, no. 3, 13 p., https://doi.org/10.1088/1748-9326/8/3/035017.","productDescription":"13 p.","numberOfPages":"14","costCenters":[],"links":[{"id":474014,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/8/3/035017","text":"Publisher Index Page"},{"id":291101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291100,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1088/1748-9326/8/3/035017"}],"volume":"8","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-07-16","publicationStatus":"PW","scienceBaseUri":"57f7f38ee4b0bc0bec0a0a46","contributors":{"authors":[{"text":"Jorgenson, M. Torre","contributorId":40486,"corporation":false,"usgs":true,"family":"Jorgenson","given":"M. Torre","affiliations":[],"preferred":false,"id":496580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harden, Jennifer","contributorId":46190,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","affiliations":[],"preferred":false,"id":496581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kanevskiy, Mikhail","contributorId":60511,"corporation":false,"usgs":true,"family":"Kanevskiy","given":"Mikhail","affiliations":[],"preferred":false,"id":496582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O'Donnell, Jonathan","contributorId":17924,"corporation":false,"usgs":true,"family":"O'Donnell","given":"Jonathan","affiliations":[],"preferred":false,"id":496576,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wickland, Kim 0000-0002-6400-0590","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":28909,"corporation":false,"usgs":true,"family":"Wickland","given":"Kim","affiliations":[],"preferred":false,"id":496578,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ewing, Stephanie","contributorId":65773,"corporation":false,"usgs":true,"family":"Ewing","given":"Stephanie","affiliations":[],"preferred":false,"id":496583,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Manies, Kristen","contributorId":16559,"corporation":false,"usgs":true,"family":"Manies","given":"Kristen","affiliations":[],"preferred":false,"id":496575,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhuang, Qianlai","contributorId":101975,"corporation":false,"usgs":true,"family":"Zhuang","given":"Qianlai","affiliations":[],"preferred":false,"id":496584,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shur, Yuri","contributorId":39302,"corporation":false,"usgs":true,"family":"Shur","given":"Yuri","affiliations":[],"preferred":false,"id":496579,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"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":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":false,"id":496585,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":496577,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70038857,"text":"70038857 - 2013 - Survival of Apache Trout eggs and alevins under static and fluctuating temperature regimes","interactions":[],"lastModifiedDate":"2015-06-17T13:52:27","indexId":"70038857","displayToPublicDate":"2013-01-01T09:39:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Survival of Apache Trout eggs and alevins under static and fluctuating temperature regimes","docAbstract":"<p>Increased stream temperatures due to global climate change, livestock grazing, removal of riparian cover, reduction of stream flow, and urbanization will have important implications for fishes worldwide. Information exists that describes the effects of elevated water temperatures on fish eggs, but less information is available on the effects of fluctuating water temperatures on egg survival, especially those of threatened and endangered species. We tested the posthatch survival of eyed eggs and alevins of Apache Trout Oncorhynchus gilae apache, a threatened salmonid, in static temperatures of 15, 18, 21, 24, and 27&deg;C, and also in treatments with diel fluctuations of &plusmn;3&deg;C around those temperatures. The LT50 for posthatch survival of Apache Trout eyed eggs and alevins was 17.1&deg;C for static temperatures treatments and 17.9&deg;C for the midpoints of &plusmn;3&deg;C fluctuating temperature treatments. There was no significant difference in survival between static temperatures and fluctuating temperatures that shared the same mean temperature, yet there was a slight difference in LT50s. Upper thermal tolerance of Apache Trout eyed eggs and alevins is much lower than that of fry to adult life stages (22&ndash;23&deg;C). Information on thermal tolerance of early life stages (eyed egg and alevin) will be valuable to those restoring streams or investigating thermal tolerances of imperiled fishes.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.741551","usgsCitation":"Recsetar, M.S., and Bonar, S.A., 2013, Survival of Apache Trout eggs and alevins under static and fluctuating temperature regimes: Transactions of the American Fisheries Society, v. 142, no. 2, p. 373-379, https://doi.org/10.1080/00028487.2012.741551.","productDescription":"7 p.","startPage":"373","endPage":"379","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038268","costCenters":[],"links":[{"id":279100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279099,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2012.741551"}],"volume":"142","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-01-23","publicationStatus":"PW","scienceBaseUri":"5287509de4b03b89f6f155d6","contributors":{"authors":[{"text":"Recsetar, Matthew S.","contributorId":67395,"corporation":false,"usgs":true,"family":"Recsetar","given":"Matthew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":465084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":465083,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70128270,"text":"70128270 - 2013 - Contaminants in stream sediments from seven United States metropolitan areas: part I: distribution in relation to urbanization","interactions":[],"lastModifiedDate":"2014-10-07T08:59:46","indexId":"70128270","displayToPublicDate":"2013-01-01T08:58:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Contaminants in stream sediments from seven United States metropolitan areas: part I: distribution in relation to urbanization","docAbstract":"Organic contaminants and trace elements were measured in bed sediments collected from streams in seven metropolitan study areas across the United States to assess concentrations in relation to urbanization. Polycyclic aromatic hydrocarbons, polychlorinated biphenyls, organochlorine pesticides, the pyrethroid insecticide bifenthrin, and several trace elements were significantly related to urbanization across study areas. Most contaminants (except bifenthrin, chromium, nickel) were significantly related to the total organic carbon (TOC) content of the sediments. Regression models explained 45–80 % of the variability in individual contaminant concentrations using degree of urbanization, sediment-TOC, and study-area indicator variables (which represent the combined influence of unknown factors, such as chemical use or release, that are not captured by available explanatory variables). The significance of one or more study-area indicator variables in all models indicates marked differences in contaminant levels among some study areas, even after accounting for the nationally modeled effects of urbanization and sediment-TOC. Mean probable effect concentration quotients (PECQs) were significantly related to urbanization. Trace elements were the major contributors to mean PECQs at undeveloped sites, whereas organic contaminants, especially bifenthrin, were the major contributors at highly urban sites. Pyrethroids, where detected, accounted for the largest share of the mean PECQ. Part 2 of this series (Kemble et al. 2012) evaluates sediment toxicity to amphipods and midge in relation to sediment chemistry.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Archives of Environmental Contamination and Toxicology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"New York, NY","doi":"10.1007/s00244-012-9813-0","usgsCitation":"Nowell, L.H., Moran, P.W., Gilliom, R.J., Calhoun, D.L., Ingersoll, C.G., Kemble, N.E., Kuivila, K., and Phillips, P., 2013, Contaminants in stream sediments from seven United States metropolitan areas: part I: distribution in relation to urbanization: Archives of Environmental Contamination and Toxicology, v. 64, no. 1, p. 32-51, https://doi.org/10.1007/s00244-012-9813-0.","productDescription":"20 p.","startPage":"32","endPage":"51","numberOfPages":"20","ipdsId":"IP-018523","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":294970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294959,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00244-012-9813-0"},{"id":294960,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007%2Fs00244-012-9813-0"}],"volume":"64","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-11-06","publicationStatus":"PW","scienceBaseUri":"543500a1e4b0a4f4b46a2380","contributors":{"authors":[{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":502783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calhoun, Daniel L. 0000-0003-2371-6936 dcalhoun@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-6936","contributorId":1455,"corporation":false,"usgs":true,"family":"Calhoun","given":"Daniel","email":"dcalhoun@usgs.gov","middleInitial":"L.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502788,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":502789,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kemble, Nile E. 0000-0002-3608-0538 nkemble@usgs.gov","orcid":"https://orcid.org/0000-0002-3608-0538","contributorId":2626,"corporation":false,"usgs":true,"family":"Kemble","given":"Nile","email":"nkemble@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":502790,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kuivila, Kathryn  0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":502787,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Phillips, Patrick J. pjphilli@usgs.gov","contributorId":856,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick J.","email":"pjphilli@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":502786,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70171355,"text":"70171355 - 2013 - Reconsidering residency: Characterization and conservation implications of complex migratory patterns of shortnose sturgeon (<i>Acispenser brevirostrum</i>)","interactions":[],"lastModifiedDate":"2016-05-30T12:39:59","indexId":"70171355","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Reconsidering residency: Characterization and conservation implications of complex migratory patterns of shortnose sturgeon (<i>Acispenser brevirostrum</i>)","docAbstract":"<p><span>Efforts to conserve endangered species usually involve attempts to define and manage threats at the appropriate scale of population processes. In some species that scale is localized; in others, dispersal and migration link demic units within larger metapopulations. Current conservation strategies for endangered shortnose sturgeon (</span><i>Acipenser brevirostrum</i><span>) assume the species is river resident, with little to no movement between rivers. However we have found that shortnose sturgeon travel more than 130 km through coastal waters between the largest rivers in Maine. Indeed, acoustic telemetry shows that shortnose sturgeon enter six out of the seven acoustically monitored rivers we have monitored, with over 70% of tagged individuals undertaking coastal migrations between river systems. Four migration patterns were identified for shortnose sturgeon inhabiting the Penobscot River, Maine: river resident (28%), spring coastal emigrant (24%), fall coastal emigrant (33%), and summer coastal emigrant (15%). No shortnose sturgeon classified as maturing female exhibited a resident pattern, indicating differential migration. Traditional river-specific assessment and management of shortnose sturgeon could be better characterized using a broader metapopulation scale, at least in the Gulf of Maine, that accounts for diverse migratory strategies and the importance of migratory corridors as critical habitat.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2012-0196","usgsCitation":"Dionne, P.E., Zydlewski, G.B., Kinnison, M.T., Zydlewski, J.D., and Wippelhauser, G.S., 2013, Reconsidering residency: Characterization and conservation implications of complex migratory patterns of shortnose sturgeon (<i>Acispenser brevirostrum</i>): Canadian Journal of Fisheries and Aquatic Sciences, v. 70, no. 1, p. 119-127, https://doi.org/10.1139/cjfas-2012-0196.","productDescription":"9 p.","startPage":"119","endPage":"127","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036605","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321852,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"70","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574d663be4b07e28b6684d36","contributors":{"authors":[{"text":"Dionne, Phillip E.","contributorId":169683,"corporation":false,"usgs":false,"family":"Dionne","given":"Phillip","email":"","middleInitial":"E.","affiliations":[{"id":25572,"text":"University of Maine, Orono","active":true,"usgs":false}],"preferred":false,"id":630703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zydlewski, Gayle B.","contributorId":169688,"corporation":false,"usgs":false,"family":"Zydlewski","given":"Gayle","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":630795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kinnison, Michael T.","contributorId":169617,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":630702,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":630699,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wippelhauser, Gail S.","contributorId":169680,"corporation":false,"usgs":false,"family":"Wippelhauser","given":"Gail","email":"","middleInitial":"S.","affiliations":[{"id":25571,"text":"Maine Department of Marine Resources, Augusta, ME","active":true,"usgs":false}],"preferred":false,"id":630700,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192508,"text":"70192508 - 2013 - Seasonal variation in age-specific movement patterns of red drum Sciaenops ocellatus inferred from conventional tagging and telemetry","interactions":[],"lastModifiedDate":"2017-11-28T14:41:46","indexId":"70192508","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesNumber":"SEDAR 18-RD54","title":"Seasonal variation in age-specific movement patterns of red drum Sciaenops ocellatus inferred from conventional tagging and telemetry","docAbstract":"<p>We used 25 years of conventional tagging (n = 6173 recoveries) and 3 years of ultrasonic telemetry data (n = 105 transmitters deployed) to examine movement rates and directional preferences of four age classes of red drum Sciaenops ocellatus in North Carolina. Movement rates of tagged red drum were dependent on the age, region, and season of tagging. Age-1 and age-2 red drum tagged along the coast generally moved along the coast, while fish tagged in oligohaline waters far from the coast were primarily recovered in coastal regions in fall months. Adult (age-4+) red drum moved from overwintering grounds on the continental shelf through inlets into Pamlico Sound in spring and summer months and departed in fall. Few tagged red drum were recovered in adjacent states (0.6% of all recoveries); however, some adult red drum migrated seasonally from overwintering grounds in coastal North Carolina northward to Virginia in spring, returning in fall. Telemetered age-2 red drum displayed seasonal emigration from a small tributary, but upstream and downstream movements within the tributary were correlated with fluctuating salinity regimes and not season. Large-scale tagging and telemetry programs can provide valuable insights into the complex movement patterns of estuarine fish. </p>","language":"English","publisher":"SouthEast Data, Assessment, and Review","usgsCitation":"Bacheler, N.M., Paramore, L.M., Burdick, S.M., Buckel, J.A., and Hightower, J.E., 2013, Seasonal variation in age-specific movement patterns of red drum Sciaenops ocellatus inferred from conventional tagging and telemetry, 42 p.","productDescription":"42 p.","ipdsId":"IP-012460","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349484,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349483,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://sedarweb.org/s18rd54-seasonal-variation-age-specific-movement-patterns-red-drum-sciaenops-ocellatus-inferred"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610313e4b06e28e9c254ce","contributors":{"authors":[{"text":"Bacheler, Nathan M.","contributorId":34403,"corporation":false,"usgs":true,"family":"Bacheler","given":"Nathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":723900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paramore, Lee M.","contributorId":104368,"corporation":false,"usgs":true,"family":"Paramore","given":"Lee","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":723901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":723902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buckel, Jeffery A.","contributorId":42872,"corporation":false,"usgs":true,"family":"Buckel","given":"Jeffery","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":723903,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716097,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70041785,"text":"70041785 - 2013 - Mobile Bay","interactions":[],"lastModifiedDate":"2022-12-21T16:15:21.87051","indexId":"70041785","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"chapter":"K","title":"Mobile Bay","docAbstract":"<p>Mobile Bay is the largest bay found in Alabama’s coastal area (Handley et al., 2007). It was named an Estuary of National Significance in 1995 under the U.S. Environmental Protection Agency’s (EPA) National Estuary Program (NEP), and its Comprehensive Conservation Management Plan was completed in 2002. Mobile Bay is 1,070 km<sup>2</sup> (413 miles<sup>2</sup>) in area and 51 km (32 miles) long, making it the sixth largest estuary in the continental United States (Mobile Bay NEP, 2008). Its ecosystem provides habitat for more than 300 species of birds, 310 species of fish, 68 species of reptiles, 57 species of mammals, 40 species of amphibians, and 15 species of shrimp (Mobile Bay NEP, 1997). Mobile Bay lies between the Mississippi and Atlantic Flyways (Mobile Bay NEP, 2003). Commercial and residential development and industrial use is heavy in the Mobile Bay area. Although local growth and industrial markets support the Mobile Bay area economy, the resulting environmental damage to the very ecosystem upon which they depend remains a threat to the environment, economy, and population.</p><p>The Mobile Bay ecosystem boasts high biological diversity and productivity and supports many freshwater and saltwater species of recreational and commercial importance. The great diversity of Mobile Bay reflects the diversity of Alabama, which is home to the largest number of different plant and animal species of all states east of the Mississippi River (Stein, 2002), and is bolstered by the unique climate and geographic conditions surrounding the bay. Freshwater inflow from the Mobile-Tensaw River Delta, ranging from 60,000 to 3,700,000 gallons per second (Wallace, 1996), mixes with saltwater from the Gulf of Mexico, which enters Mobile Bay via wind and tides (Burgan and Engle, 2006). Because of the unique conditions surrounding Mobile Bay, including shallow waters, a dynamic climate, and artificial hydrologic modifications—such as the construction of the Mobile Bay Causeway in the 1920s, which serves as an unintentional barrier between Delta waters north of the Causeway and saline waters south of the Causeway, the salinity of Mobile Bay is highly variable. Mobile Bay receives an average of 165 cm (65 inches) of rain per year from tropical storms, summer thunderstorms, and winter cold fronts (Stout et al., 1998).&nbsp;</p><p>The climate and geography that have made Mobile Bay so rich in resources have also contributed to the threats surrounding its ecosystem. The extensive amount of rain in Mobile Bay creates large amounts of runoff, polluting the waters with fertilizers, chemicals, sediment, oil, trash, and sewage (Mobile Bay NEP, 1997). Tourism, ecotourism, recreational and commercial fishing, recreational boating, shipping, and chemical, pulp, and paper production are significant industries in Mobile Bay and the surrounding areas. Despite the approximate \\$3 billion and 55,000 jobs these industries bring into the community (Alabama Tourism Department, 2010), the growth, development, and environmental stress they create are major threats to the Mobile Bay ecosystem.</p><p>Among the nation’s states, Alabama ranks fifth in number of different species (144 endemic species), second in number of extinctions that have already occurred (90 extinct species) and fourth in number of species at risk for extinction (14.8% at risk out of 4,533 total species; Stein, 2002). Twenty-one of these threatened and endangered species are found in Mobile Bay, whose brackish waters provide a nursery area for many species of vertebrates and invertebrates. Some of these species include the Alabama sturgeon, Gulf sturgeon, heavy pigtoe mussel, inflated heel-splitter mussel, West Indian manatee, Alabama beach mouse, Perdido beach mouse, Alabama red-bellied turtle, gopher tortoise, Kemp’s ridley sea turtle, green sea turtle, loggerhead sea turtle, eastern indigo snake, flatwoods salamander, piping plover, red-cockaded woodpecker, and wood stork. Habitat loss underlies the decline of some bird species in Mobile Bay, and large mammals such as the red wolf, Florida panther, and Florida black bear are no longer found in the area. However, some rare species, such as the swallow-tailed kite, sandhill crane, and gopher tortoise can still be found (Duke and Kruczynski, 1992). The value of wetlands in Mobile Bay and the rest of the Gulf of Mexico is still being investigated. Although various monetary valuations of wetlands exist, critics remark that undervaluation of wetlands is inevitable (Mobile Bay NEP, 2008) and that estimates often do not place appropriate value on ecological services (Mitsch and Gosselink, 2000). Additionally, many estimates account only for anthropogenic values. One estimate concludes that one acre of wetlands performs \\$3,000 worth of water purification each year (Mobile Bay NEP, 1997). With more than 76,890 hectares (190,000 acres) of wetlands in the Mobile Bay area, that equates to a value exceeding one-half billion dollars every year. Tourism, fishing, boating, production, and shipping are significant industries in the Mobile Bay area. More than 90% of fish landed in recreational and commercial fishing in the bay depend on bay habitat, including wetlands, for life requirements (Mobile Bay NEP, 1997). The Port of Mobile is Alabama’s only ocean-ship&nbsp;port (Mobile Bay NEP, 2008). Baldwin County, on the eastern side of the bay, experienced a population increase of 75% from 1990 to 2007, with an 89% increase in housing units (Mobile Bay NEP, 2008). Development and industry support the Mobile Bay economy, but they depend on the continued health, sustainability, and production of the water and living resources of the Mobile Bay ecosystem. Wetland loss, along with other forms of environmental degradation, remains a threat to the Mobile Bay ecosystem and Mobile Bay’s socioeconomic foundation.&nbsp;</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Emergent wetlands status and trends in the northern Gulf of Mexico: 1950-2010","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"conferenceTitle":"2013 Gulf of Mexico Alliance (GOMA) All Hands Meeting","conferenceDate":"June 25-27, 2013","conferenceLocation":"Tampa, FL","language":"English","publisher":"U.S. Geological Survey and U.S. Environmental Protection Agency","usgsCitation":"Handley, L.R., Spear, K.A., Jones, S., and Thatcher, C.A., 2013, Mobile Bay, 22 p.","productDescription":"22 p.","ipdsId":"IP-037809","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":344098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344097,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://gom.usgs.gov/web/Site/EmWetStatusTrends"}],"country":"United States","state":"Alabama","otherGeospatial":"Mobile Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.85,\n              30.5\n            ],\n            [\n              -87.85,\n              30.9\n            ],\n            [\n              -88.15,\n              30.9\n            ],\n            [\n              -88.15,\n              30.7\n            ],\n            [\n              -88.24,\n              30.7\n            ],\n            [\n              -88.24,\n              30.3\n            ],\n            [\n              -88.24,\n              30.25\n            ],\n            [\n              -88.15,\n              30.25\n            ],\n            [\n              -88.15,\n              30.1\n            ],\n            [\n              -87.76,\n              30.1\n            ],\n            [\n              -87.76,\n              30.5\n            ],\n            [\n              -87.85,\n              30.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59706fdee4b0d1f9f065ab03","contributors":{"authors":[{"text":"Handley, Lawrence R. handleyl@usgs.gov","contributorId":3459,"corporation":false,"usgs":true,"family":"Handley","given":"Lawrence","email":"handleyl@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":743021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spear, Kathryn A. 0000-0001-8942-2856 speark@usgs.gov","orcid":"https://orcid.org/0000-0001-8942-2856","contributorId":1949,"corporation":false,"usgs":true,"family":"Spear","given":"Kathryn","email":"speark@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":705778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Stephen","contributorId":118160,"corporation":false,"usgs":true,"family":"Jones","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":705779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thatcher, Cindy A. 0000-0003-0331-071X thatcherc@usgs.gov","orcid":"https://orcid.org/0000-0003-0331-071X","contributorId":2868,"corporation":false,"usgs":true,"family":"Thatcher","given":"Cindy","email":"thatcherc@usgs.gov","middleInitial":"A.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":705780,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176401,"text":"70176401 - 2013 - Sediment transport due to extreme events: The Hudson River estuary after tropical storms Irene and Lee","interactions":[],"lastModifiedDate":"2016-09-13T09:29:59","indexId":"70176401","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Sediment transport due to extreme events: The Hudson River estuary after tropical storms Irene and Lee","docAbstract":"Tropical Storms Irene and Lee in 2011 produced intense precipitation and flooding in the U.S. Northeast, \nincluding the Hudson River watershed. Sediment input to the Hudson River was approximately 2.7 megaton, about \n5 times the long-term annual average. Rather than the common assumption that sediment is predominantly trapped \nin the estuary, observations and model results indicate that approximately two thirds of the new sediment \nremained trapped in the tidal freshwater river more than 1 month after the storms and only about one fifth of \nthe new sediment reached the saline estuary. High sediment concentrations were observed in the estuary, but \nthe model results suggest that this was predominantly due to remobilization of bed sediment. Spatially localized \ndeposits of new and remobilized sediment were consistent with longer term depositional records. The results \nindicate that tidal rivers can intercept (at least temporarily) delivery of terrigenous sediment to the marine \nenvironment during major flow events.","language":"English","publisher":"AGU Publications","doi":"10.1002/2013GL057906","usgsCitation":"Ralston, D., Warner, J., Geyer, W., and Wall, G.R., 2013, Sediment transport due to extreme events: The Hudson River estuary after tropical storms Irene and Lee: Geophysical Research Letters, v. 40, no. 20, p. 5451-5455, https://doi.org/10.1002/2013GL057906.","productDescription":"5 p.","startPage":"5451","endPage":"5455","ipdsId":"IP-051406","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013gl057906","text":"Publisher Index Page"},{"id":328586,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"20","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-18","publicationStatus":"PW","scienceBaseUri":"57d92342e4b090824ffa1b30","contributors":{"authors":[{"text":"Ralston, David K.","contributorId":75796,"corporation":false,"usgs":true,"family":"Ralston","given":"David K.","affiliations":[],"preferred":false,"id":648606,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geyer, W. Rockwell","contributorId":51588,"corporation":false,"usgs":true,"family":"Geyer","given":"W. Rockwell","affiliations":[],"preferred":false,"id":648607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wall, Gary R. grwall@usgs.gov","contributorId":915,"corporation":false,"usgs":true,"family":"Wall","given":"Gary","email":"grwall@usgs.gov","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648608,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193596,"text":"70193596 - 2013 - Preliminary report on the Late Pleistocene and Holocene diatoms of Swamp Lake, Yosemite National Park, California, USA","interactions":[],"lastModifiedDate":"2017-11-30T13:46:22","indexId":"70193596","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3081,"text":"Phytotaxa","active":true,"publicationSubtype":{"id":10}},"title":"Preliminary report on the Late Pleistocene and Holocene diatoms of Swamp Lake, Yosemite National Park, California, USA","docAbstract":"Swamp Lake, Yosemite National Park, is the only known lake in California containing long sequences of varved sediments and thus has the potential to provide a high-resolution record of climate variability. This preliminary analysis of the diatom assemblages from a 947-cm-long composite sediment core (freeze core FZ02–05; 0–67 cm, Livingstone core 02–05; 53–947 cm) shows that the lake has been freshwater, oligotrophic, and circumneutral to alkaline throughout its ~16,000-year-long history. The first sediments deposited in the lake show that the vegetation in the watershed was sparse, allowing organic matter-poor silt and clay to be deposited in the basin. The basin filled quickly to a depth of at least 5 m and remained at least that deep for most of the sediment record. Several short intervals provided evidence of large fluctuations in lake level during the Holocene. The upper 50 cm of the core contains evidence of the Medieval Climate Anomaly and Little Ice Age.","language":"English","publisher":"Magnolia Press","doi":"10.11646/phytotaxa.127.1.14","usgsCitation":"Starratt, S.W., and Anderson, R., 2013, Preliminary report on the Late Pleistocene and Holocene diatoms of Swamp Lake, Yosemite National Park, California, USA: Phytotaxa, v. 127, no. 1, p. 128-149, https://doi.org/10.11646/phytotaxa.127.1.14.","productDescription":"22 p.","startPage":"128","endPage":"149","ipdsId":"IP-042680","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474042,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.11646/phytotaxa.127.1.14","text":"Publisher Index Page"},{"id":349599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Swamp Lake, Yosemite National Park","volume":"127","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-29","publicationStatus":"PW","scienceBaseUri":"5a610312e4b06e28e9c254b6","contributors":{"authors":[{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, R. Scott","contributorId":6983,"corporation":false,"usgs":false,"family":"Anderson","given":"R. Scott","affiliations":[{"id":7034,"text":"School of Earth Sciences and Environmental Sustainability at Northern Arizona University, in Flagstaff","active":true,"usgs":false}],"preferred":false,"id":719552,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70192928,"text":"70192928 - 2013 - Analysis and simulation of regional subsidence accompanying groundwater abstraction and compaction of susceptible aquifer systems in the USA","interactions":[],"lastModifiedDate":"2020-12-18T19:53:27.146451","indexId":"70192928","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5070,"text":"Boletín de la Sociedad Geológica Mexicana","active":true,"publicationSubtype":{"id":10}},"title":"Analysis and simulation of regional subsidence accompanying groundwater abstraction and compaction of susceptible aquifer systems in the USA","docAbstract":"<p><span class=\"ScopusTermHighlight\">Regional</span><span>&nbsp;aquifer-system compaction and land&nbsp;</span><span class=\"ScopusTermHighlight\">subsidence</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">accompanying</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">groundwater</span><span>&nbsp;abstraction in susceptible aquifer systems in the USA is a challenge for managing&nbsp;</span><span class=\"ScopusTermHighlight\">groundwater</span><span>&nbsp;resources and mitigating associated hazards. Developments in the assessment of&nbsp;</span><span class=\"ScopusTermHighlight\">regional</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">subsidence</span><span>&nbsp;provide more information to constrain analyses and&nbsp;</span><span class=\"ScopusTermHighlight\">simulation</span><span>&nbsp;of aquifer-system compaction. Current popular approaches to simulating vertical aquifer-system deformation (compaction), such as those embodied in the aquitard drainage model and the MODFLOW&nbsp;</span><span class=\"ScopusTermHighlight\">subsidence</span><span>&nbsp;packages, have proven useful from the perspective of&nbsp;</span><span class=\"ScopusTermHighlight\">regional</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">groundwater</span><span>&nbsp;resources assessment. However, these approaches inadequately address related local-scale hazards-ground ruptures and damages to engineered structures on the land surface arising from tensional stresses and strains&nbsp;</span><span class=\"ScopusTermHighlight\">accompanying</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">groundwater</span><span>&nbsp;abstraction. This paper presents a brief overview of the general approaches taken by the U.S. Geological Survey toward understanding aquifer-system compaction and&nbsp;</span><span class=\"ScopusTermHighlight\">subsidence</span><span>&nbsp;with regard to a) identifying the affected aquifer systems; b) making&nbsp;</span><span class=\"ScopusTermHighlight\">regional</span><span>&nbsp;assessments; c) analyzing the governing processes; and d) simulating historical and future&nbsp;</span><span class=\"ScopusTermHighlight\">groundwater</span><span>&nbsp;flow and&nbsp;</span><span class=\"ScopusTermHighlight\">subsidence</span><span>&nbsp;conditions. Limitations and shortcomings of these approaches, as well as future challenges also are discussed.</span></p>","language":"English, Spanish","publisher":"Instituto de Geológica","doi":"10.18268/BSGM2013v65n1a10","usgsCitation":"Galloway, D.L., and Sneed, M., 2013, Analysis and simulation of regional subsidence accompanying groundwater abstraction and compaction of susceptible aquifer systems in the USA: Boletín de la Sociedad Geológica Mexicana, v. 65, no. 1, p. 123-136, https://doi.org/10.18268/BSGM2013v65n1a10.","productDescription":"14 p.","startPage":"123","endPage":"136","ipdsId":"IP-024781","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":474164,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.18268/bsgm2013v65n1a10","text":"Publisher Index Page"},{"id":381517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a096bb2e4b09af898c9414f","contributors":{"authors":[{"text":"Galloway, Devin L. 0000-0003-0904-5355 dlgallow@usgs.gov","orcid":"https://orcid.org/0000-0003-0904-5355","contributorId":679,"corporation":false,"usgs":true,"family":"Galloway","given":"Devin","email":"dlgallow@usgs.gov","middleInitial":"L.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":717366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sneed, Michelle 0000-0002-8180-382X micsneed@usgs.gov","orcid":"https://orcid.org/0000-0002-8180-382X","contributorId":155,"corporation":false,"usgs":true,"family":"Sneed","given":"Michelle","email":"micsneed@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717367,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178489,"text":"70178489 - 2013 - Integrated hydrologic modeling of a transboundary aquifer system —Lower Rio Grande","interactions":[],"lastModifiedDate":"2017-01-20T10:47:07","indexId":"70178489","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Integrated hydrologic modeling of a transboundary aquifer system —Lower Rio Grande","docAbstract":"<p>For more than 30 years the agreements developed for the aquifer systems of the lower Rio Grande and related river compacts of the Rio Grande River have evolved into a complex setting of transboundary conjunctive use. The conjunctive use now includes many facets of water rights, water use, and emerging demands between the states of New Mexico and Texas, the United States and Mexico, and various water-supply agencies. The analysis of the complex relations between irrigation and streamflow supplyand-demand components and the effects of surface-water and groundwater use requires an integrated hydrologic model to track all of the use and movement of water. MODFLOW with the Farm Process (MFFMP) provides the integrated approach needed to assess the stream-aquifer interactions that are dynamically affected by irrigation demands on streamflow allotments that are supplemented with groundwater pumpage. As a first step to the ongoing full implementation of MF-FMP by the USGS, the existing model (LRG_2007) was modified to include some FMP features, demonstrating the ability to simulate the existing streamflow-diversion relations known as the D2 and D3 curves, departure of downstream deliveries from these curves during low allocation years and with increasing efficiency upstream, and the dynamic relation between surface-water conveyance and estimates of pumpage and recharge. This new MF-FMP modeling framework can now internally analyze complex relations within the Lower Rio Grande Hydrologic Model (LRGHM_2011) that previous techniques had limited ability to assess.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"MODFLOW and more 2013--Translating science into practice","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Colorado School of Mines, Integrated Groundwater Modeling Center","publisherLocation":"Golden, CO","usgsCitation":"Hanson, R.T., Schmid, W., Knight, J.E., and Maddock, T., 2013, Integrated hydrologic modeling of a transboundary aquifer system —Lower Rio Grande, <i>in</i> MODFLOW and more 2013--Translating science into practice, p. 57-61.","productDescription":"5 p.","startPage":"57","endPage":"61","ipdsId":"IP-042752","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":333539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58833023e4b0d0023163779a","contributors":{"authors":[{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmid, Wolfgang","contributorId":140408,"corporation":false,"usgs":false,"family":"Schmid","given":"Wolfgang","email":"","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":654192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knight, Jacob E. 0000-0003-0271-9011 jknight@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-9011","contributorId":5143,"corporation":false,"usgs":true,"family":"Knight","given":"Jacob","email":"jknight@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maddock, Thomas III","contributorId":32983,"corporation":false,"usgs":true,"family":"Maddock","given":"Thomas","suffix":"III","affiliations":[],"preferred":false,"id":654191,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70176402,"text":"70176402 - 2013 - Gas hydrate formation rates from dissolved-phase methane in porous laboratory specimens","interactions":[],"lastModifiedDate":"2016-09-13T09:25:42","indexId":"70176402","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Gas hydrate formation rates from dissolved-phase methane in porous laboratory specimens","docAbstract":"<p><span>Marine sands highly saturated with gas hydrates are potential energy resources, likely forming from methane dissolved in pore water. Laboratory fabrication of gas hydrate-bearing sands formed from dissolved-phase methane usually requires 1–2 months to attain the high hydrate saturations characteristic of naturally occurring energy resource targets. A series of gas hydrate formation tests, in which methane-supersaturated water circulates through 100, 240, and 200,000 cm</span><sup>3</sup><span> vessels containing glass beads or unconsolidated sand, show that the rate-limiting step is dissolving gaseous-phase methane into the circulating water to form methane-supersaturated fluid. This implies that laboratory and natural hydrate formation rates are primarily limited by methane availability. Developing effective techniques for dissolving gaseous methane into water will increase formation rates above our observed (1 ± 0.5) × 10</span><sup>−7</sup><span> mol of methane consumed for hydrate formation per minute per cubic centimeter of pore space, which corresponds to a hydrate saturation increase of 2 ± 1% per day, regardless of specimen size.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/grl.50809","usgsCitation":"Waite, W., and Spangenberg, E., 2013, Gas hydrate formation rates from dissolved-phase methane in porous laboratory specimens: Geophysical Research Letters, v. 40, no. 16, p. 4310-4315, https://doi.org/10.1002/grl.50809.","productDescription":"6 p.","startPage":"4310","endPage":"4315","ipdsId":"IP-050964","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474038,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/grl.50809","text":"Publisher Index Page"},{"id":328585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"16","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-19","publicationStatus":"PW","scienceBaseUri":"57d92339e4b090824ffa1a84","contributors":{"authors":[{"text":"Waite, William F. 0000-0002-9436-4109 wwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-9436-4109","contributorId":625,"corporation":false,"usgs":true,"family":"Waite","given":"William F.","email":"wwaite@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spangenberg, E.K.","contributorId":71513,"corporation":false,"usgs":true,"family":"Spangenberg","given":"E.K.","email":"","affiliations":[],"preferred":false,"id":648610,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192541,"text":"70192541 - 2013 - Channel unit use by Smallmouth Bass: Do land-use constraints or quantity of habitat matter?","interactions":[],"lastModifiedDate":"2017-11-28T12:43:25","indexId":"70192541","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Channel unit use by Smallmouth Bass: Do land-use constraints or quantity of habitat matter?","docAbstract":"<p><span>I examined how land use influenced the distribution of Smallmouth Bass&nbsp;</span><i>Micropterus dolomieu</i><span><span>&nbsp;</span>in channel units (discrete morphological features—e.g., pools) of streams in the Midwestern USA. Stream segments (</span><i>n</i><span><span>&nbsp;</span>= 36), from four clusters of different soil and runoff conditions, were identified that had the highest percent of forest (</span><i>n</i><span><span>&nbsp;</span>= 12), pasture (</span><i>n</i><span><span>&nbsp;</span>= 12), and urban land use (</span><i>n</i><span><span>&nbsp;</span>= 12) within each cluster. Channel units within each stream were delineated and independently sampled once using multiple gears in summer 2006. Data were analyzed using a generalized linear mixed model procedure with a binomial distribution and odds ratio statistics. Land use and channel unit were strong predictors of age-0, age-1, and age-&gt;1 Smallmouth Bass presence. Each age-class was more likely to be present in streams within watersheds dominated by forest land use than in those with pasture or urban land uses. The interaction between land use and channel unit was not significant in any of the models, indicating channel unit use by Smallmouth Bass did not depend on watershed land use. Each of the three age-classes was more likely to use pools than other channel units. However, streams with high densities of Smallmouth Bass age &gt;1 had lower proportions of pools suggesting a variety of channel units is important even though habitat needs exist at the channel-unit scale. Management may benefit from future research addressing the significance of channel-unit quality as a possible mechanism for how land use impacts Smallmouth Bass populations. Further, management efforts aimed at improving stream habitat would likely be more beneficial if focused at the stream segment or landscape scale, where a variety of quality habitats might be supported.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2013.763878","usgsCitation":"Brewer, S.K., 2013, Channel unit use by Smallmouth Bass: Do land-use constraints or quantity of habitat matter?: North American Journal of Fisheries Management, v. 33, no. 2, p. 351-358, https://doi.org/10.1080/02755947.2013.763878.","productDescription":"8 p.","startPage":"351","endPage":"358","ipdsId":"IP-031249","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"MIssouri","volume":"33","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-03-06","publicationStatus":"PW","scienceBaseUri":"5a610313e4b06e28e9c254c4","contributors":{"authors":[{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716155,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70189568,"text":"70189568 - 2013 - Enhanced transfer of terrestrially derived carbon to the atmosphere in a flooding event","interactions":[],"lastModifiedDate":"2017-07-17T15:02:31","indexId":"70189568","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Enhanced transfer of terrestrially derived carbon to the atmosphere in a flooding event","docAbstract":"<p><span>Rising CO</span><sub>2</sub><span><span>&nbsp;</span>concentration in the atmosphere, global climate change, and the sustainability of the Earth's biosphere are great societal concerns for the 21st century. Global climate change has, in part, resulted in a higher frequency of flooding events, which allow for greater exchange between soil/plant litter and aquatic carbon pools. Here we demonstrate that the summer 2011 flood in the Mississippi River basin, caused by extreme precipitation events, resulted in a “flushing” of terrestrially derived dissolved organic carbon (TDOC) to the northern Gulf of Mexico. Data from the lower Atchafalaya and Mississippi rivers showed that the DOC flux to the northern Gulf of Mexico during this flood was significantly higher than in previous years. We also show that consumption of radiocarbon-modern TDOC by bacteria in floodwaters in the lower Atchafalaya River and along the adjacent shelf contributed to northern Gulf shelf waters changing from a net sink to a net source of CO</span><sub>2</sub><span><span>&nbsp;</span>to the atmosphere in June and August 2011. This work shows that enhanced flooding, which may or may not be caused by climate change, can result in rapid losses of stored carbon in soils to the atmosphere via processes in aquatic ecosystems.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2012GL054145","usgsCitation":"Bianchi, T.S., Garcia-Tigreros, F., Yvon-Lewis, S.A., Shields, M., Mills, H.J., Butman, D., Osburn, C., Raymond, P.A., Shank, G.C., DiMarco, S.F., Walker, N., Kiel Reese, B., Mullins-Perry, R., Quigg, A., Aiken, G.R., and Grossman, E.L., 2013, Enhanced transfer of terrestrially derived carbon to the atmosphere in a flooding event: Geophysical Research Letters, v. 40, no. 1, p. 116-122, https://doi.org/10.1029/2012GL054145.","productDescription":"7 p.","startPage":"116","endPage":"122","ipdsId":"IP-040374","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-01-08","publicationStatus":"PW","scienceBaseUri":"596dcca5e4b0d1f9f0627574","contributors":{"authors":[{"text":"Bianchi, Thomas S.","contributorId":150225,"corporation":false,"usgs":false,"family":"Bianchi","given":"Thomas","email":"","middleInitial":"S.","affiliations":[{"id":17943,"text":"Univ of Florida","active":true,"usgs":false}],"preferred":false,"id":705234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia-Tigreros, Fenix 0000-0001-8694-9046","orcid":"https://orcid.org/0000-0001-8694-9046","contributorId":194744,"corporation":false,"usgs":false,"family":"Garcia-Tigreros","given":"Fenix","email":"","affiliations":[],"preferred":false,"id":705235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yvon-Lewis, Shari A.","contributorId":119588,"corporation":false,"usgs":true,"family":"Yvon-Lewis","given":"Shari","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":705236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shields, Michael","contributorId":150228,"corporation":false,"usgs":false,"family":"Shields","given":"Michael","email":"","affiliations":[{"id":17943,"text":"Univ of Florida","active":true,"usgs":false}],"preferred":false,"id":705237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mills, Heath J.","contributorId":194745,"corporation":false,"usgs":false,"family":"Mills","given":"Heath","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":705238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butman, David 0000-0003-3520-7426 dbutman@usgs.gov","orcid":"https://orcid.org/0000-0003-3520-7426","contributorId":174187,"corporation":false,"usgs":true,"family":"Butman","given":"David","email":"dbutman@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":705239,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Osburn, Christopher","contributorId":194746,"corporation":false,"usgs":false,"family":"Osburn","given":"Christopher","affiliations":[],"preferred":false,"id":705240,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Raymond, Peter A.","contributorId":172876,"corporation":false,"usgs":false,"family":"Raymond","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":17883,"text":"Yale School of Forestry and Environmental Studies, New Haven, CT","active":true,"usgs":false}],"preferred":false,"id":705241,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shank, G. Christopher","contributorId":194747,"corporation":false,"usgs":false,"family":"Shank","given":"G.","email":"","middleInitial":"Christopher","affiliations":[],"preferred":false,"id":705242,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"DiMarco, Steven F.","contributorId":15435,"corporation":false,"usgs":true,"family":"DiMarco","given":"Steven","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":705243,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Walker, Nan","contributorId":194748,"corporation":false,"usgs":false,"family":"Walker","given":"Nan","email":"","affiliations":[],"preferred":false,"id":705244,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kiel Reese, Brandi","contributorId":194749,"corporation":false,"usgs":false,"family":"Kiel Reese","given":"Brandi","email":"","affiliations":[],"preferred":false,"id":705245,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Mullins-Perry, Ruth","contributorId":194750,"corporation":false,"usgs":false,"family":"Mullins-Perry","given":"Ruth","email":"","affiliations":[],"preferred":false,"id":705246,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Quigg, Antonietta","contributorId":194751,"corporation":false,"usgs":false,"family":"Quigg","given":"Antonietta","email":"","affiliations":[],"preferred":false,"id":705247,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":705248,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Grossman, Ethan L.","contributorId":189344,"corporation":false,"usgs":false,"family":"Grossman","given":"Ethan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":705249,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70193443,"text":"70193443 - 2013 - Influence of sex and reproductive status on seasonal movement of Lake Sturgeon in Namakan Reservoir, Minnesota–Ontario","interactions":[],"lastModifiedDate":"2017-11-10T18:54:20","indexId":"70193443","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Influence of sex and reproductive status on seasonal movement of Lake Sturgeon in Namakan Reservoir, Minnesota–Ontario","docAbstract":"<p><span>We evaluated the influence of sex and reproductive condition on seasonal distribution and movement patterns of Lake Sturgeon&nbsp;</span><i>Acipenser fulvescens</i><span><span>&nbsp;</span>in Namakan Reservoir, Minnesota–Ontario. Blood samples were collected from 133 Lake Sturgeon prior to spawning and plasma concentrations of testosterone and estradiol-17ß were analyzed using radioimmunoassay. Steroid concentrations were used to determine sex and the reproductive stage of each sturgeon. A subset of 60 adults were implanted with acoustic transmitters prior to spawning in 2007 and 2008. Movement was monitored using an array of 15 stationary receivers covering U.S. and Canadian waters of Namakan Reservoir and its tributaries. Of the monitored sturgeon, there was no significant difference in the minimum distance traveled between sexes or among seasons. Site residency did not differ between sexes but differed significantly among seasons, and Lake Sturgeon of both sexes had higher residency during winter (mean = 24 d). Five females implanted with transmitters were characterized as presumed reproductive and 14 as nonreproductive based on plasma steroid concentrations. In general, movement patterns (i.e., migration) of presumed reproductive females corresponded positively with availability of spawning habitat in tributaries. Moreover, presumed reproductive females traveled greater distances than nonreproductive females, particularly during prespawn, spawning, and fall time periods. Distance traveled by presumed reproductive females was highest in the fall compared with other seasons and may be linked to increased energy requirements during late oogenesis before spawning in spring. Combining movement data with information on Lake Sturgeon reproductive status and habitat suitability provided a robust approach for understanding their seasonal migration patterns and identifying spawning locations.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.720625","usgsCitation":"Shaw, S.L., Chipps, S.R., Windels, S.K., Webb, M.A., and McLeod, D.T., 2013, Influence of sex and reproductive status on seasonal movement of Lake Sturgeon in Namakan Reservoir, Minnesota–Ontario: Transactions of the American Fisheries Society, v. 142, no. 1, p. 10-20, https://doi.org/10.1080/00028487.2012.720625.","productDescription":"11 p.","startPage":"10","endPage":"20","ipdsId":"IP-034024","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Minnesota, Ontario","otherGeospatial":"Namakan Reservoir","volume":"142","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-12-04","publicationStatus":"PW","scienceBaseUri":"5a06c8d7e4b09af898c86181","contributors":{"authors":[{"text":"Shaw, Stephanie L.","contributorId":199420,"corporation":false,"usgs":false,"family":"Shaw","given":"Stephanie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":721654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Windels, Steve K.","contributorId":182422,"corporation":false,"usgs":false,"family":"Windels","given":"Steve","email":"","middleInitial":"K.","affiliations":[{"id":18939,"text":"Voyageurs National Park","active":true,"usgs":false}],"preferred":false,"id":721655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Webb, Molly A. H.","contributorId":152118,"corporation":false,"usgs":false,"family":"Webb","given":"Molly","email":"","middleInitial":"A. H.","affiliations":[{"id":18870,"text":"Bozeman Fish Technology Center, U.S. Fish and Wildlife Service, Bozeman, Montana 59715","active":true,"usgs":false}],"preferred":false,"id":721656,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McLeod, Darryl T.","contributorId":199419,"corporation":false,"usgs":false,"family":"McLeod","given":"Darryl","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":721657,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70182180,"text":"70182180 - 2013 - Wildfire and aspect effects on hydrologic states after the 2010 Fourmile Canyon Fire","interactions":[],"lastModifiedDate":"2017-02-20T11:40:17","indexId":"70182180","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Wildfire and aspect effects on hydrologic states after the 2010 Fourmile Canyon Fire","docAbstract":"<p>Wildfire can change how soils take in, store, and release water. This study examined differences in how burned and unburned plots on north versus south-facing slope aspects respond to rainfall. The largest wildfire impacts were litter/duff combustion on burned north-facing slopes versus soil-water retention reduction on burned south-facing slopes.</p><p>Wildfire is one of the most significant disturbances in mountainous landscapes, affecting water supply and ecologic function and setting the stage for natural hazards such as flash floods. The impacts of wildfire can affect the entire hydrologic cycle. Measurements of soil-water content and matric potential in the near surface (top 30 cm) captured the hydrologic state in both burned and unburned hillslopes during the first spring through fall period (1 June–1 Oct. 2011) after the 2010 Fourmile Canyon Fire near Boulder, CO. This time span included different hydrologic periods characterized by cyclonic frontal storms (low-intensity, long duration), convective storms (high-intensity, short duration), and dry periods. In mountainous environments, aspect can also control hydrologic states, so north- vs. south-facing slopes were compared. Wildfire tended to homogenize soil-water contents across aspects and with depth in the soil, yet it also may have introduced an aspect control on matric potential that was not observed in unburned soils. Post-wildfire changes in hydrologic state were observed in south-facing soils, probably reflecting decreased soil-water retention after wildfire. North-facing soils were impacted the most, in terms of hydrologic state, by the loss of water storage in the combusted litter–duff layer and forest canopy, which had provided a large “hydrologic buffering” capacity when unburned. Unsaturated zone measurements showed increased variability in hydrologic states and more rapid state transitions in wildfire-impacted soils. A simple, qualitative analysis suggested that the range of unsaturated-zone processes along the gravity–capillarity–adsorption continuum was expanded by wildfire for a given soil. The small number of experimental plots in this study suggests that further work is needed before these conclusions can be generalized to other geographic areas.</p>","language":"English","publisher":"Soil Science Society of America","doi":"10.2136/vzj2012.0089","usgsCitation":"Ebel, B.A., 2013, Wildfire and aspect effects on hydrologic states after the 2010 Fourmile Canyon Fire: Vadose Zone Journal, v. 12, no. 1, https://doi.org/10.2136/vzj2012.0089.","ipdsId":"IP-038010","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":335829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-02-04","publicationStatus":"PW","scienceBaseUri":"58ac0e31e4b0ce4410e7d60a","contributors":{"authors":[{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":669908,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70137740,"text":"70137740 - 2013 - Empirical flow parameters : a tool for hydraulic model validity","interactions":[],"lastModifiedDate":"2015-12-01T16:43:11","indexId":"70137740","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Empirical flow parameters : a tool for hydraulic model validity","docAbstract":"<p><span>The objectives of this project were (1) To determine and present from existing data in Texas, relations between observed stream flow, topographic slope, mean section velocity, and other hydraulic factors, to produce charts such as Figure 1 and to produce empirical distributions of the various flow parameters to provide a methodology to \"check if model results are way off!\"; (2) To produce a statistical regional tool to estimate mean velocity or other selected parameters for storm flows or other conditional discharges at ungauged locations (most bridge crossings) in Texas to provide a secondary way to compare such values to a conventional hydraulic modeling approach. (3.) To present ancillary values such as Froude number, stream power, Rosgen channel classification, sinuosity, and other selected characteristics (readily determinable from existing data) to provide additional information to engineers concerned with the hydraulic-soil-foundation component of transportation infrastructure.</span></p>","language":"English","publisher":"Texas Tech Center for Multidisciplinary Research in Transportation (TechMRT)","publisherLocation":"Lubbock, Texas","collaboration":"Texas Department of Transportation","usgsCitation":"Asquith, W.H., Burley, T.E., and Cleveland, T., 2013, Empirical flow parameters : a tool for hydraulic model validity, 166 p.","productDescription":"166 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045372","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":311775,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297123,"type":{"id":15,"text":"Index Page"},"url":"https://library.ctr.utexas.edu/Presto/content/Detail.aspx?q=NjY1NA==&ctID=OWE3NjYzNTktYzJmNC00ZTAwLThmMjItYzhmNzNiYTFmNzdh&rID=MjUxMDY=&qcf=&ph=VHJ1ZQ==&bckToL=VHJ1ZQ==&"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"565ed2b8e4b071e7ea544427","contributors":{"authors":[{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":538020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burley, Thomas E. 0000-0002-2235-8092 teburley@usgs.gov","orcid":"https://orcid.org/0000-0002-2235-8092","contributorId":3499,"corporation":false,"usgs":true,"family":"Burley","given":"Thomas","email":"teburley@usgs.gov","middleInitial":"E.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":538019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cleveland, Theodore G.","contributorId":88029,"corporation":false,"usgs":true,"family":"Cleveland","given":"Theodore G.","affiliations":[],"preferred":false,"id":580801,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187338,"text":"70187338 - 2013 - Coasts: Complex changes affecting the Northwest's diverse shorelines","interactions":[],"lastModifiedDate":"2017-05-01T15:21:32","indexId":"70187338","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Coasts: Complex changes affecting the Northwest's diverse shorelines","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Climate change in the Northwest: Implications for our landscapes, waters, and communities","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Island Press","doi":"10.5822/978-1-61091-512-0","usgsCitation":"Reeder, W.S., Ruggiero, Shafer, S.L., Snover, A.K., Houston, L.L., Glick, P., Newton, J., and Capalbo, S.M., 2013, Coasts: Complex changes affecting the Northwest's diverse shorelines, chap. <i>of</i> Climate change in the Northwest: Implications for our landscapes, waters, and communities, p. 67-109, https://doi.org/10.5822/978-1-61091-512-0.","productDescription":"43 p.","startPage":"67","endPage":"109","ipdsId":"IP-041974","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":474148,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.5822/978-1-61091-512-0","text":"External Repository"},{"id":340700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084935e4b0fc4e448ffd9a","contributors":{"authors":[{"text":"Reeder, W. Spencer","contributorId":83028,"corporation":false,"usgs":true,"family":"Reeder","given":"W.","email":"","middleInitial":"Spencer","affiliations":[],"preferred":false,"id":693815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruggiero, Peter","contributorId":121401,"corporation":false,"usgs":true,"family":"Ruggiero","suffix":"Peter","affiliations":[],"preferred":false,"id":693816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shafer, Sarah L. 0000-0003-3739-2637 sshafer@usgs.gov","orcid":"https://orcid.org/0000-0003-3739-2637","contributorId":1684,"corporation":false,"usgs":true,"family":"Shafer","given":"Sarah","email":"sshafer@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":693817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snover, Amy K.","contributorId":11511,"corporation":false,"usgs":true,"family":"Snover","given":"Amy","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":693818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Houston, Laurie L.","contributorId":11935,"corporation":false,"usgs":true,"family":"Houston","given":"Laurie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":693819,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Glick, Patty","contributorId":47283,"corporation":false,"usgs":true,"family":"Glick","given":"Patty","affiliations":[],"preferred":false,"id":693820,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Newton, Jan","contributorId":177863,"corporation":false,"usgs":false,"family":"Newton","given":"Jan","email":"","affiliations":[],"preferred":false,"id":693821,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Capalbo, Susan M.","contributorId":48864,"corporation":false,"usgs":true,"family":"Capalbo","given":"Susan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":693822,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70190318,"text":"70190318 - 2013 - Semidiurnal temperature changes caused by tidal front movements in the warm season in seabed habitats on the Georges Bank northern margin and their ecological implications","interactions":[],"lastModifiedDate":"2017-08-27T12:37:54","indexId":"70190318","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Semidiurnal temperature changes caused by tidal front movements in the warm season in seabed habitats on the Georges Bank northern margin and their ecological implications","docAbstract":"<p>Georges Bank is a large, shallow feature separating the Gulf of Maine from the Atlantic Ocean. Previous studies demonstrated a strong tidal-mixing front during the warm season on the northern bank margin between thermally stratified water in the Gulf of Maine and mixed water on the bank. Tides transport warm water off the bank during flood tide and cool gulf water onto the bank during ebb tide. During 10 days in August 2009, we mapped frontal temperatures in five study areas along ∼100 km of the bank margin. The seabed “frontal zone”, where temperature changed with frontal movment, experienced semidiurnal temperature maxima and minima. The tidal excursion of the frontal boundary between stratified and mixed water ranged 6 to 10 km. This “frontal boundary zone” was narrower than the frontal zone. Along transects perpendicular to the bank margin, seabed temperature change at individual sites ranged from 7.0°C in the frontal zone to 0.0°C in mixed bank water. At time series in frontal zone stations, changes during tidal cycles ranged from 1.2 to 6.1°C. The greatest rate of change (-2.48°C hr-<sup>1</sup>) occurred at mid-ebb. Geographic plots of seabed temperature change allowed the mapping of up to 8 subareas in each study area. The magnitude of temperature change in a subarea depended on its location in the frontal zone. Frontal movement had the greatest effect on seabed temperature in the 40 to 80 m depth interval. Subareas experiencing maximum temperature change in the frontal zone were not in the frontal boundary zone, but rather several km gulfward (off-bank) of the frontal boundary zone. These results provide a new ecological framework for examining the effect of tidally-driven temperature variability on the distribution, food resources, and reproductive success of benthic invertebrate and demersal fish species living in tidal front habitats.</p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0055273","usgsCitation":"Guida, V.G., Valentine, P.C., and Gallea, L.B., 2013, Semidiurnal temperature changes caused by tidal front movements in the warm season in seabed habitats on the Georges Bank northern margin and their ecological implications: PLoS ONE, v. 8, no. 2, Article e55273; 21 p., https://doi.org/10.1371/journal.pone.0055273.","productDescription":"Article e55273; 21 p.","ipdsId":"IP-027271","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488706,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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