{"pageNumber":"1381","pageRowStart":"34500","pageSize":"25","recordCount":184743,"records":[{"id":70170508,"text":"70170508 - 2014 - Three-dimensional seismic velocity structure of Mauna Loa and Kilauea volcanoes in Hawaii from local seismic tomography","interactions":[],"lastModifiedDate":"2019-03-13T15:38:49","indexId":"70170508","displayToPublicDate":"2014-05-30T10:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional seismic velocity structure of Mauna Loa and Kilauea volcanoes in Hawaii from local seismic tomography","docAbstract":"<p><span>We present a new three-dimensional seismic velocity model of the crustal and upper mantle structure for Mauna Loa and Kilauea volcanoes in Hawaii. Our model is derived from the first-arrival times of the compressional and shear waves from about 53,000 events on and near the Island of Hawaii between 1992 and 2009 recorded by the Hawaiian Volcano Observatory stations. The&nbsp;</span><i>V</i><sub><span><i>p</i></span></sub><span>&nbsp;model generally agrees with previous studies, showing high-velocity anomalies near the calderas and rift zones and low-velocity anomalies in the fault systems. The most significant difference from previous models is in&nbsp;</span><i>V</i><sub><span><i>p</i></span></sub><span>/</span><i>V</i><sub><span><i>s</i></span></sub><span>&nbsp;structure. The high-</span><i>V</i><sub><span><i>p</i></span></sub><span>&nbsp;and high-</span><i>V</i><sub><span><i>p</i></span></sub><span>/</span><i>V</i><sub><span><i>s</i></span></sub><span>&nbsp;anomalies below Mauna Loa caldera are interpreted as mafic magmatic cumulates. The observed low-</span><i>V</i><sub><span><i>p&nbsp;</i></span></sub><span>and high-</span><i>V</i><sub><span><i>p</i></span></sub><span>/</span><i>V</i><sub><span><i>s</i></span></sub><span>&nbsp;bodies in the Kaoiki seismic zone between 5 and 15 km depth are attributed to the underlying volcaniclastic sediments. The high-</span><i>V</i><sub><span><i>p</i></span></sub><span>&nbsp;and moderate- to low-</span><i>V</i><sub><span><i>p</i></span></sub><span>/</span><i>V</i><sub><span><i>s</i></span></sub><span>&nbsp;anomalies beneath Kilauea caldera can be explained by a combination of different mafic compositions, likely to be olivine-rich gabbro and dunite. The systematically low-</span><i>V</i><sub><span><i>p</i></span></sub><span>&nbsp;and low-</span><i>V</i><sub><span><i>p</i></span></sub><span>/</span><i>V</i><sub><span><i>s</i></span></sub><span>&nbsp;bodies in the southeast flank of Kilauea may be caused by the presence of volatiles. Another difference between this study and previous ones is the improved&nbsp;</span><i>V</i><sub><span><i>p</i></span></sub><span>&nbsp;model resolution in deeper layers, owing to the inclusion of events with large epicentral distances. The new velocity model is used to relocate the seismicity of Mauna Loa and Kilauea for improved absolute locations and ultimately to develop a high-precision earthquake catalog using waveform cross-correlation data.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013JB010820","usgsCitation":"Lin, G., Shearer, P., Matoza, R.S., Okubo, P.G., and Amelung, F., 2014, Three-dimensional seismic velocity structure of Mauna Loa and Kilauea volcanoes in Hawaii from local seismic tomography: Journal of Geophysical Research B: Solid Earth, v. 119, no. 5, p. 4377-4392, https://doi.org/10.1002/2013JB010820.","productDescription":"16 p.","startPage":"4377","endPage":"4392","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055205","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":472977,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://escholarship.org/uc/item/02000169","text":"Publisher Index Page"},{"id":320500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","county":"Hawaii","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-155.8799,20.2589],[-155.8389,20.2672],[-155.7974,20.2483],[-155.7717,20.2467],[-155.7307,20.217],[-155.7276,20.2014],[-155.6597,20.1689],[-155.5966,20.1224],[-155.5519,20.1275],[-155.4406,20.0928],[-155.2746,20.0165],[-155.2142,19.9761],[-155.1417,19.9175],[-155.0839,19.8533],[-155.0923,19.8101],[-155.0842,19.7247],[-155.0378,19.74],[-155.0008,19.735],[-154.9786,19.69],[-154.98,19.6376],[-154.9483,19.6236],[-154.9444,19.6025],[-154.9053,19.5706],[-154.8211,19.5322],[-154.8058,19.5161],[-154.8183,19.4997],[-154.8194,19.4794],[-154.8362,19.46],[-154.8895,19.4144],[-154.9283,19.3947],[-154.9725,19.3489],[-155.0705,19.3112],[-155.1543,19.2657],[-155.2084,19.2564],[-155.2631,19.2709],[-155.2968,19.2616],[-155.3566,19.2069],[-155.4154,19.1838],[-155.4543,19.1464],[-155.5053,19.1312],[-155.5528,19.0803],[-155.5531,19.0467],[-155.5772,19.0208],[-155.6017,18.9683],[-155.6183,18.9692],[-155.6386,18.935],[-155.6771,18.9105],[-155.6886,18.9394],[-155.7159,18.9606],[-155.7587,18.9769],[-155.7975,19.0094],[-155.8508,19.0189],[-155.8817,19.0358],[-155.8844,19.0525],[-155.9067,19.0786],[-155.9186,19.1344],[-155.8994,19.2111],[-155.8864,19.3433],[-155.9106,19.3961],[-155.9061,19.4131],[-155.9292,19.4589],[-155.9194,19.4728],[-155.9503,19.4858],[-155.9774,19.6064],[-155.9944,19.6375],[-156.0308,19.6515],[-156.0269,19.6731],[-156.0601,19.7255],[-156.0503,19.7744],[-156.0394,19.7878],[-155.9739,19.8481],[-155.9242,19.8558],[-155.9017,19.9056],[-155.8872,19.9144],[-155.8895,19.93],[-155.8544,19.9669],[-155.8356,19.9739],[-155.828,19.9894],[-155.8231,20.0228],[-155.8839,20.1058],[-155.9004,20.1635],[-155.8994,20.2281],[-155.8799,20.2589]]]},\"properties\":{\"name\":\"Hawaii\",\"state\":\"HI\"}}]}","volume":"119","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-30","publicationStatus":"PW","scienceBaseUri":"571f3fe5e4b071321fe56a87","contributors":{"authors":[{"text":"Lin, Guoqing","contributorId":168856,"corporation":false,"usgs":false,"family":"Lin","given":"Guoqing","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":627496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shearer, Peter M.","contributorId":78946,"corporation":false,"usgs":true,"family":"Shearer","given":"Peter M.","affiliations":[],"preferred":false,"id":627497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Matoza, Robin S.","contributorId":54873,"corporation":false,"usgs":true,"family":"Matoza","given":"Robin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":627498,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Okubo, Paul G. 0000-0002-0381-6051 pokubo@usgs.gov","orcid":"https://orcid.org/0000-0002-0381-6051","contributorId":2730,"corporation":false,"usgs":true,"family":"Okubo","given":"Paul","email":"pokubo@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":627495,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amelung, Falk","contributorId":124563,"corporation":false,"usgs":false,"family":"Amelung","given":"Falk","email":"","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":627499,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70101668,"text":"sir20145071 - 2014 - An analysis of potential water availability from the Charles Mill, Clendening, Piedmont, Pleasant Hill, Senecaville, and Wills Creek Lakes in the Muskingum River Watershed, Ohio","interactions":[],"lastModifiedDate":"2014-05-30T10:20:29","indexId":"sir20145071","displayToPublicDate":"2014-05-30T10:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5071","title":"An analysis of potential water availability from the Charles Mill, Clendening, Piedmont, Pleasant Hill, Senecaville, and Wills Creek Lakes in the Muskingum River Watershed, Ohio","docAbstract":"<p>This report presents the results of a study to assess potential water availability from the Charles Mill, Clendening, Piedmont, Pleasant Hill, Senecaville, and Wills Creek Lakes, located within the Muskingum River Watershed, Ohio. The assessment was based on the criterion that water withdrawals should not appreciably affect maintenance of recreation-season pool levels in current use. To facilitate and simplify the assessment, it was assumed that historical lake operations were successful in maintaining seasonal pool levels, and that any discharges from lakes constituted either water that was discharged to prevent exceeding seasonal pool levels or discharges intended to meet minimum in-stream flow targets downstream from the lakes. It further was assumed that the volume of water discharged in excess of the minimum in-stream flow target is available for use without negatively impacting seasonal pool levels or downstream water uses and that all or part of it is subject to withdrawal.</p>\n<br/>\n<p>Historical daily outflow data for the lakes were used to determine the quantity of water that potentially could be withdrawn and the resulting quantity of water that would flow downstream (referred to as “flow-by”) on a daily basis as a function of all combinations of three hypothetical target minimum flow-by amounts (1, 2, and 3 times current minimum in-stream flow targets) and three pumping capacities (1, 2, and 3 million gallons per day). Using both U.S. Geological Survey streamgage data (where available) and lake-outflow data provided by the U.S. Army Corps of Engineers resulted in analytical periods ranging from 51 calendar years for Charles Mill, Clendening, and Piedmont Lakes to 74 calendar years for Pleasant Hill, Senecaville, and Wills Creek Lakes.</p>\n<br/>\n<p>The observed outflow time series and the computed time series of daily flow-by amounts and potential withdrawals were analyzed to compute and report order statistics (95th, 75th, 50th, 25th, 10th, and 5th percentiles) and means for the analytical period, in aggregate, and broken down by calendar month. In addition, surplus-water mass curve data were tabulated for each of the lakes.</p>\n<br/>\n<p>Monthly order statistics of computed withdrawals indicated that, for the three pumping capacities considered, increasing the target minimum flow-by amount tended to reduce the amount of water that can be withdrawn. The reduction was greatest in the lower percentiles of withdrawal; however, increasing the flow-by amount had no impact on potential withdrawals during high flow. In addition, for a given target minimum flow-by amount, increasing the pumping rate typically increased the total amount of water that could be withdrawn; however, that increase was less than a direct multiple of the increase in pumping rate for most flow statistics. Potential monthly withdrawals were observed to be more variable and more limited in some calendar months than others.</p>\n<br/>\n<p>Monthly order statistics and means of computed daily mean flow-by amounts indicated that flow-by amounts generally tended to be lowest during June–October. Increasing the target minimum flow-by amount for a given pumping rate resulted in some small increases in the magnitudes of the mean and 50th percentile and lower order statistics of computed mean flow-by, but had no effect on the magnitudes of the higher percentile statistics. Increasing the pumping rate for a given target minimum flow-by amount resulted in decreases in magnitudes of higher-percentile flow-by statistics by an amount equal to the flow equivalent of the increase in pumping rate; however, some lower percentile statistics remained unchanged.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145071","collaboration":"Prepared in cooperation with the Muskingum Watershed Conservancy District","usgsCitation":"Koltun, G., 2014, An analysis of potential water availability from the Charles Mill, Clendening, Piedmont, Pleasant Hill, Senecaville, and Wills Creek Lakes in the Muskingum River Watershed, Ohio: U.S. Geological Survey Scientific Investigations Report 2014-5071, Report: v, 61 p.; Appendix 1, Table 1-2, https://doi.org/10.3133/sir20145071.","productDescription":"Report: v, 61 p.; Appendix 1, Table 1-2","numberOfPages":"72","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-054063","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":287855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145071.jpg"},{"id":287854,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5071/appendix/sir2014-5071_table-1-2.xlsx"},{"id":287852,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5071/"},{"id":287853,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5071/pdf/sir2014-5071.pdf"}],"projection":"Universal Transverse Mercator projection, Zone 17","datum":"North American Datum of 1983","country":"United States","state":"Ohio","otherGeospatial":"Charles Mill Lake;Clendening Lake;Muskingum River Watershed;Piedmont Lake;Pleasant Hill Lake;Senecaville Lake;Wills Creek Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.0,39.0 ], [ -83.0,41.4 ], [ -80.5,41.4 ], [ -80.5,39.0 ], [ -83.0,39.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7626e4b0abf75cf2bea8","contributors":{"authors":[{"text":"Koltun, G. F. 0000-0003-0255-2960","orcid":"https://orcid.org/0000-0003-0255-2960","contributorId":49817,"corporation":false,"usgs":true,"family":"Koltun","given":"G. F.","affiliations":[],"preferred":false,"id":492729,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70123758,"text":"70123758 - 2014 - Connecting the dots: a collaborative USGS-NPS effort to expand the utility of monitoring data","interactions":[],"lastModifiedDate":"2014-09-09T09:15:51","indexId":"70123758","displayToPublicDate":"2014-05-30T09:06:53","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3561,"text":"The George Wright Forum","active":true,"publicationSubtype":{"id":10}},"title":"Connecting the dots: a collaborative USGS-NPS effort to expand the utility of monitoring data","docAbstract":"<p>The Natural Resource Challenge (National Park Service 1999) was a call to action. It \nconstituted a mandate for monitoring based on the twin premises that (1) natural resources \nin national parks require active management and stewardship if we are to protect them from \ngradual degradation, and (2) we cannot protect what we do not understand. The intent of the \nchallenge was embodied in its original description:</p>\n<br/>\n<p>We must expand existing inventory programs and develop efficient ways to monitor the vital signs of natural systems.  We must enlist others in the scientific community to help, and also facilitate their inquiry.  Managers must have and apply this information to preserve our natural resources.</p>\n<br/>\n<p>In this article, we report on ongoing collaborative work between the National Park Service (NPS) and the US Geological Survey (USGS) that seeks to add to our scientific understanding of the ecological processes operating behind vital signs monitoring data.  The ultimate goal of this work is to provide insights that can facilitate an understanding of the systems and identify potential opportunities for active stewardship by NPS managers (Bennetts et al. 2007; Mitchell et al. 2014).  The bulk of the work thus far has involved Acadia and Rocky Mountain national parks, but there are plans for extending the work to additional parks.</p>\n<br/>\n<p>Our story stats with work designed to consider ways of assessing the status and condition of natural resources and the potential for historical or ongoing influences of human activities.  In the 1990s, the concept of \"biotic integrity\" began to take hold as an aspiration for developing quantitative indices describing how closely the conditions at a site resemble those found at pristine, unimpacted sites.  Quantitative methods for developing indices of biotic integrity (IBIs) and elaborations of that idea (e.g., ecological integrity) have received considerable attention and application of these methods to natural resources has become widespread (Karr 1991; Barbour et al. 1999; Stoddard et al. 2008).  Despite widespread use, many questions remain about how metrics are combined to form effective indices and about how to interpret both.</p>\n<br/>\n<p>Scientists and natural resource specialists within NPS and USGS have joined forces to critique the current analysis methods, with the collaboration involving the Rocky Mountain and Northeast Temperate NPS Inventory and Monitoring (I & M) networks, along with others, and USGS scientists from the National Wetlands Research Center and Patuxent Wildlife Research Center.  Funding that initiated the project was from a joint-partnership fund managed by the USGS Ecosystems Program for National Park Monitoring research and the work was focused at Acadia National Park and Rocky Mountain National Park.  Here we present synopses of two major issues addressed by the group.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The George Wright Forum","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The George Wright Society","publisherLocation":"Hancock, MI","usgsCitation":"Grace, J.B., Schoolmaster, D.R., Schweiger, E.W., Mitchell, B.R., Miller, K., and Guntenspergen, G.R., 2014, Connecting the dots: a collaborative USGS-NPS effort to expand the utility of monitoring data: The George Wright Forum, v. 31, no. 2, p. 181-190.","productDescription":"10 p.","startPage":"181","endPage":"190","numberOfPages":"10","ipdsId":"IP-056172","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":293487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293470,"type":{"id":15,"text":"Index Page"},"url":"https://www.georgewright.org/312grace.pdf"}],"volume":"31","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5410144ee4b07ab1cd9808e6","contributors":{"authors":[{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"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":500213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoolmaster, Donald R. Jr. 0000-0003-0910-4458 schoolmasterd@usgs.gov","orcid":"https://orcid.org/0000-0003-0910-4458","contributorId":4746,"corporation":false,"usgs":true,"family":"Schoolmaster","given":"Donald","suffix":"Jr.","email":"schoolmasterd@usgs.gov","middleInitial":"R.","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":500215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schweiger, E. William","contributorId":53635,"corporation":false,"usgs":true,"family":"Schweiger","given":"E.","email":"","middleInitial":"William","affiliations":[],"preferred":false,"id":500217,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitchell, Brian R.","contributorId":14683,"corporation":false,"usgs":true,"family":"Mitchell","given":"Brian","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":500216,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Kathryn","contributorId":94226,"corporation":false,"usgs":true,"family":"Miller","given":"Kathryn","affiliations":[],"preferred":false,"id":500218,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":500214,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70101307,"text":"fs20143035 - 2014 - Lithium: for harnessing renewable energy","interactions":[],"lastModifiedDate":"2016-08-31T12:08:12","indexId":"fs20143035","displayToPublicDate":"2014-05-29T14:26:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3035","title":"Lithium: for harnessing renewable energy","docAbstract":"<p>Lithium, which has the chemical symbol Li and an atomic number of 3, is the first metal in the periodic table. Lithium has many uses, the most prominent being in batteries for cell phones, laptops, and electric and hybrid vehicles. Worldwide sources of lithium are broken down by ore-deposit type as follows: closed-basin brines, 58%; pegmatites and related granites, 26%; lithium-enriched clays, 7%; oilfield brines, 3%; geothermal brines, 3%; and lithium-enriched zeolites, 3% (2013 statistics). There are over 39 million tons of lithium resources worldwide. Of this resource, the USGS estimates there to be approximately 13 million tons of current economically recoverable lithium reserves. To help predict where future lithium supplies might be located, USGS scientists study how and where identified resources are concentrated in the Earth&rsquo;s crust, and they use that knowledge to assess the likelihood that undiscovered resources also exist.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143035","issn":"2327-6932","collaboration":"USGS Mineral Resources Program","usgsCitation":"Bradley, D., and Jaskula, B.W., 2014, Lithium: for harnessing renewable energy: U.S. Geological Survey Fact Sheet 2014-3035, 2 p., https://doi.org/10.3133/fs20143035.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-050745","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":287835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143035.jpg"},{"id":287833,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3035/"},{"id":287834,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3035/pdf/fs2014-3035.pdf","text":"Report","size":"1.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"538848d0e4b0318b93124a2c","contributors":{"authors":[{"text":"Bradley, Dwight","contributorId":32641,"corporation":false,"usgs":true,"family":"Bradley","given":"Dwight","affiliations":[],"preferred":false,"id":492656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaskula, Brian W. bjaskula@usgs.gov","contributorId":1935,"corporation":false,"usgs":true,"family":"Jaskula","given":"Brian","email":"bjaskula@usgs.gov","middleInitial":"W.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":492655,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70110741,"text":"70110741 - 2014 - Winter browse selection by white-tailed deer and implications for bottomland forest restoration in the Upper Mississippi River Valley, USA","interactions":[],"lastModifiedDate":"2014-05-29T09:49:15","indexId":"70110741","displayToPublicDate":"2014-05-29T09:31:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2821,"text":"Natural Areas Journal","active":true,"publicationSubtype":{"id":10}},"title":"Winter browse selection by white-tailed deer and implications for bottomland forest restoration in the Upper Mississippi River Valley, USA","docAbstract":"White-tailed deer (<i>Odocoileus virginianus</i>) forage selectively, modifying upland forest species composition and in some cases shifting ecosystems to alternative stable states. Few studies, however, have investigated plant selection by deer in bottomland forests. Herbaceous invasive species are common in wetlands and their expansion could be promoted if deer avoid them and preferentially feed on native woody species. We surveyed plant species composition and winter deer browsing in 14 floodplain forest restoration sites along the Upper Mississippi River and tributaries. Tree seedling density declined rapidly with increasing cover of invasive <i>Phalaris arundinacea</i>, averaging less than 1 per m<sup>2</sup> in all sites in which the grass was present. Deer browsed ∼46% of available tree seedling stems (branches) at mainland restorations, compared to ∼3% at island sites. Across all tree species, the number of browsed stems increased linearly with the number available and responded unimodally to tree height. Maximum browsing rates were observed on trees with high stem abundances (>10 per plant) and of heights between 50 and 150 cm. Deer preferred <i>Ulmus americana</i> and <i>Acer saccharinum</i>, and avoided <i>Fraxinus pennsylvanica</i>, <i>Acer negundo</i>, and <i>Quercus</i> spp. at mainland sites, and did not browse <i>Phalaris arundinacea</i> if present. Depending on plant growth responses to herbivory and the competitive effects of unbrowsed species, our results suggest that selective foraging could promote the expansion of invasive species and/or alter tree species composition in bottomland forest restorations. Islands may, however, serve as refuges from browsing on a regional scale.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Areas Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Natural Areas Association","doi":"10.3375/043.034.0204","usgsCitation":"Cogger, B.J., De Jager, N.R., Thomsen, M., and Adams, C.R., 2014, Winter browse selection by white-tailed deer and implications for bottomland forest restoration in the Upper Mississippi River Valley, USA: Natural Areas Journal, v. 34, no. 2, p. 144-153, https://doi.org/10.3375/043.034.0204.","productDescription":"10 p.","startPage":"144","endPage":"153","numberOfPages":"10","ipdsId":"IP-038544","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":287794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287654,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3375/043.034.0204"}],"country":"United States","otherGeospatial":"Upper Mississippi River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.3728,42.9725 ], [ -93.3728,44.5425 ], [ -90.3076,44.5425 ], [ -90.3076,42.9725 ], [ -93.3728,42.9725 ] ] ] } } ] }","volume":"34","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"538848d1e4b0318b93124a34","contributors":{"authors":[{"text":"Cogger, Benjamin J.","contributorId":53297,"corporation":false,"usgs":true,"family":"Cogger","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":494126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Jager, Nathan R. 0000-0002-6649-4125","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":104616,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":494129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomsen, Meredith","contributorId":82956,"corporation":false,"usgs":true,"family":"Thomsen","given":"Meredith","affiliations":[],"preferred":false,"id":494127,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Carrie Reinhardt","contributorId":83840,"corporation":false,"usgs":true,"family":"Adams","given":"Carrie","email":"","middleInitial":"Reinhardt","affiliations":[],"preferred":false,"id":494128,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70099901,"text":"70099901 - 2014 - Nonlethal screening of bat-wing skin with the use of ultraviolet fluorescence to detect lesions indicative of white-nose syndrome","interactions":[],"lastModifiedDate":"2018-09-14T16:47:32","indexId":"70099901","displayToPublicDate":"2014-05-29T09:27:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Nonlethal screening of bat-wing skin with the use of ultraviolet fluorescence to detect lesions indicative of white-nose syndrome","docAbstract":"<p>Definitive diagnosis of the bat disease white-nose syndrome (WNS) requires histologic analysis to identify the cutaneous erosions caused by the fungal pathogen Pseudogymnoascus [formerly Geomyces] destructans (Pd). Gross visual inspection does not distinguish bats with or without WNS, and no nonlethal, on-site, preliminary screening methods are available for WNS in bats. We demonstrate that long-wave ultraviolet (UV) light (wavelength 368&ndash;385 nm) elicits a distinct orange&ndash;yellow fluorescence in bat-wing membranes (skin) that corresponds directly with the fungal cupping erosions in histologic sections of skin that are the current gold standard for diagnosis of WNS. Between March 2009 and April 2012, wing membranes from 168 North American bat carcasses submitted to the U.S. Geological Survey National Wildlife Health Center were examined with the use of both UV light and histology. Comparison of these techniques showed that 98.8% of the bats with foci of orange&ndash;yellow wing fluorescence (n = 80) were WNS-positive based on histologic diagnosis; bat wings that did not fluoresce under UV light (n = 88) were all histologically negative for WNS lesions. Punch biopsy samples as small as 3 mm taken from areas of wing with UV fluorescence were effective for identifying lesions diagnostic for WNS by histopathology. In a nonlethal biopsy-based study of 62 bats sampled (4-mm diameter) in hibernacula of the Czech Republic during 2012, 95.5% of fluorescent (n = 22) and 100% of nonfluorescent (n = 40) wing samples were confirmed by histopathology to be WNS positive and negative, respectively. This evidence supports use of long-wave UV light as a nonlethal and field-applicable method to screen bats for lesions indicative of WNS. Further, UV fluorescence can be used to guide targeted, nonlethal biopsy sampling for follow-up molecular testing, fungal culture analysis, and histologic confirmation of WNS.</p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2014-03-058","usgsCitation":"Turner, G.G., Meteyer, C.U., Barton, H., Gumbs, J.F., Reeder, D.M., Overton, B., Bandouchova, H., Bartonicka, T., Martinkova, N., Pikula, J., Zukal, J., and Blehert, D., 2014, Nonlethal screening of bat-wing skin with the use of ultraviolet fluorescence to detect lesions indicative of white-nose syndrome: Journal of Wildlife Diseases, v. 50, no. 3, p. 566-573, https://doi.org/10.7589/2014-03-058.","productDescription":"8 p.","startPage":"566","endPage":"573","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-03-01","temporalEnd":"2012-04-30","ipdsId":"IP-054986","costCenters":[{"id":456,"text":"National Wildlife Health 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,{"id":70110364,"text":"sir20145097 - 2014 - Extending the turbidity record: making additional use of continuous data from turbidity, acoustic-Doppler, and laser diffraction instruments and suspended-sediment samples in the Colorado River in Grand Canyon","interactions":[],"lastModifiedDate":"2018-03-21T15:47:21","indexId":"sir20145097","displayToPublicDate":"2014-05-28T16:09:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5097","title":"Extending the turbidity record: making additional use of continuous data from turbidity, acoustic-Doppler, and laser diffraction instruments and suspended-sediment samples in the Colorado River in Grand Canyon","docAbstract":"Turbidity is a measure of the scattering and absorption of light in water, which in rivers is primarily caused by particles, usually sediment, suspended in the water. Turbidity varies significantly with differences in the design of the instrument measuring turbidity, a point that is illustrated in this study by side-by-side comparisons of two different models of instruments. Turbidity also varies with changes in the physical parameters of the particles in the water, such as concentration, grain size, grain shape, and color. A turbidity instrument that is commonly used for continuous monitoring of rivers has a light source in the near-infrared range (860±30 nanometers) and a detector oriented 90 degrees from the incident light path. This type of optical turbidity instrument has a limited measurement range (depending on pathlength) that is unable to capture the high turbidity levels of rivers that carry high suspended-sediment loads. The Colorado River in Grand Canyon is one such river, in which approximately 60 percent of the range in suspended-sediment concentration during the study period had unmeasurable turbidity using this type of optical instrument. Although some optical turbidimeters using backscatter or other techniques can measure higher concentrations of suspended sediment than the models used in this study, the maximum turbidity measurable using these other turbidimeters may still be exceeded in conditions of especially high concentrations of suspended silt and clay. In Grand Canyon, the existing optical turbidity instruments remain in use in part to provide consistency over time as new techniques are investigated. As a result, during these periods of high suspended-sediment concentration, turbidity values that could not be measured with the optical turbidity instruments were instead estimated from concurrent acoustic attenuation data collected using side-looking acoustic-Doppler profiler (ADP) instruments. Extending the turbidity record to the full range of sediment concentrations in the study area using data from the ADP instruments is particularly useful for biological studies. In Grand Canyon, turbidity has been correlated with food availability for aquatic organisms (gross primary production) as well as with fish behavior specific to predator-prey interactions. On the basis of the complete “extended” turbidity record and the relation between suspended-sediment concentration and turbidity, levels were higher before the construction of Glen Canyon Dam by a factor of approximately 2,000 at the Lees Ferry monitoring station (15 miles downstream from the dam) and by a factor of approximately 20 at the monitoring station 87 miles downstream from Lees Ferry (102 miles downstream from the dam). A comparison of turbidity data with data from Laser In-Situ Scattering and Transmissometry (LISST) laser-diffraction instruments, suspended-sediment concentration data, and ADP data shows the influence of the physical properties of suspended sediment. Apparent outliers in relations between turbidity, ADP, and suspended-sediment data during two events within the study period, a 2007 tributary flood from a watershed altered by a recent wildfire and a 2008 experimental controlled-flood release from Glen Canyon Dam, are explained in part by atypical grain sizes, shapes, densities, colors, and (or) clay mineral assemblages of suspended sediment occurring in the Colorado River during these two events. These analyses demonstrate the value of using multiple data-collection strategies for turbidity and sediment-transport studies and of continuous monitoring for capturing the full range and duration of turbidity and sediment-transport conditions, identifying the provenance of the sediment causing turbidity, and detecting physical and chemical processes that may be important for management of critical physical and biological resources.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145097","issn":"2328-0328","usgsCitation":"Voichick, N., and Topping, D.J., 2014, Extending the turbidity record: making additional use of continuous data from turbidity, acoustic-Doppler, and laser diffraction instruments and suspended-sediment samples in the Colorado River in Grand Canyon: U.S. Geological Survey Scientific Investigations Report 2014-5097, vi, 31 p., https://doi.org/10.3133/sir20145097.","productDescription":"vi, 31 p.","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-044817","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":287713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145097.jpg"},{"id":287711,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5097/"},{"id":287712,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5097/pdf/sir2014-5097.pdf"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River;Grand Canyon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.5,35.5 ], [ -114.5,37.0 ], [ -111.0,37.0 ], [ -111.0,35.5 ], [ -114.5,35.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5386f750e4b0aa26cd7b5372","contributors":{"authors":[{"text":"Voichick, Nicholas nvoichick@usgs.gov","contributorId":5015,"corporation":false,"usgs":true,"family":"Voichick","given":"Nicholas","email":"nvoichick@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":494044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":715,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":494045,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70103410,"text":"ofr20141090 - 2014 - Electron microprobe analyses of glasses from Kīlauea tephra units, Kīlauea Volcano, Hawaii","interactions":[],"lastModifiedDate":"2019-03-06T08:31:19","indexId":"ofr20141090","displayToPublicDate":"2014-05-28T13:29:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1090","title":"Electron microprobe analyses of glasses from Kīlauea tephra units, Kīlauea Volcano, Hawaii","docAbstract":"This report presents approximately 2,100 glass analyses from three tephra units of Kīlauea Volcano: the Keanakākoʻi Tephra, the Kulanaokuaiki Tephra, and the Pāhala Ash. It also includes some new analyses obtained as part of a re-evaluation of the MgO contents of glasses in two of the three original datasets; this re-evaluation was conducted to improve the consistency of glass MgO contents among the three datasets. The glass data are a principal focus of Helz and others (in press), which will appear in the AGU Monograph Hawaiian Volcanoes—From Source to Surface. The report is intended to support this publication, in addition to making the data available to the scientific community.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141090","issn":"2331-1258","usgsCitation":"Helz, R.L., Clague, D.A., Mastin, L.G., and Rose, T.R., 2014, Electron microprobe analyses of glasses from Kīlauea tephra units, Kīlauea Volcano, Hawaii: U.S. Geological Survey Open-File Report 2014-1090, Report: iv, 24 p.; Appendix A: XLS; Appendix B: 10 p., https://doi.org/10.3133/ofr20141090.","productDescription":"Report: iv, 24 p.; Appendix A: XLS; Appendix B: 10 p.","onlineOnly":"Y","ipdsId":"IP-050845","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":287683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141090.jpg"},{"id":287681,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1090/appendixes/of2014-1090_tables.xls"},{"id":287682,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1090/appendixes/of2014-1090_tableB1.pdf"},{"id":287680,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1090/"},{"id":287795,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1090/pdf/of2014-1090.pdf"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.303007,19.410477 ], [ -155.303007,19.431523 ], [ -155.270993,19.431523 ], [ -155.270993,19.410477 ], [ -155.303007,19.410477 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5386f750e4b0aa26cd7b536e","contributors":{"authors":[{"text":"Helz, Rosalind L. 0000-0003-1550-0684 rhelz@usgs.gov","orcid":"https://orcid.org/0000-0003-1550-0684","contributorId":1952,"corporation":false,"usgs":true,"family":"Helz","given":"Rosalind","email":"rhelz@usgs.gov","middleInitial":"L.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":493337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clague, David A.","contributorId":77105,"corporation":false,"usgs":false,"family":"Clague","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":493339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":493336,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, Timothy R.","contributorId":31275,"corporation":false,"usgs":true,"family":"Rose","given":"Timothy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":493338,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70110692,"text":"70110692 - 2014 - Mountain landscapes offer few opportunities for high-elevation tree species migration","interactions":[],"lastModifiedDate":"2014-05-28T10:17:20","indexId":"70110692","displayToPublicDate":"2014-05-28T10:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Mountain landscapes offer few opportunities for high-elevation tree species migration","docAbstract":"Climate change is anticipated to alter plant species distributions. Regional context, notably the spatial complexity of climatic gradients, may influence species migration potential. While high-elevation species may benefit from steep climate gradients in mountain regions, their persistence may be threatened by limited suitable habitat as land area decreases with elevation. To untangle these apparently contradictory predictions for mountainous regions, we evaluated the climatic suitability of four coniferous forest tree species of the western United States based on species distribution modeling (SDM) and examined changes in climatically suitable areas under predicted climate change. We used forest structural information relating to tree species dominance, productivity, and demography from an extensive forest inventory system to assess the strength of inferences made with a SDM approach. We found that tree species dominance, productivity, and recruitment were highest where climatic suitability (i.e., probability of species occurrence under certain climate conditions) was high, supporting the use of predicted climatic suitability in examining species risk to climate change. By predicting changes in climatic suitability over the next century, we found that climatic suitability will likely decline, both in areas currently occupied by each tree species and in nearby unoccupied areas to which species might migrate in the future. These trends were most dramatic for high elevation species. Climatic changes predicted over the next century will dramatically reduce climatically suitable areas for high-elevation tree species while a lower elevation species, Pinus ponderosa, will be well positioned to shift upslope across the region. Reductions in suitable area for high-elevation species imply that even unlimited migration would be insufficient to offset predicted habitat loss, underscoring the vulnerability of these high-elevation species to climatic changes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/gcb.12504","usgsCitation":"Bell, D.M., Bradford, J.B., and Lauenroth, W.K., 2014, Mountain landscapes offer few opportunities for high-elevation tree species migration: Global Change Biology, v. 20, no. 5, p. 1441-1451, https://doi.org/10.1111/gcb.12504.","productDescription":"11 p.","startPage":"1441","endPage":"1451","numberOfPages":"11","ipdsId":"IP-042944","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":287655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287644,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gcb.12504"}],"country":"United States","state":"Arizona;California;Colorado;Idaho;Kansas;Montana;Nebraska;Nevada;New Mexico;North Dakota;Oregon;South Dakota;Utah;Washington;Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.96,31.35 ], [ -120.96,49.0 ], [ -96.79,49.0 ], [ -96.79,31.35 ], [ -120.96,31.35 ] ] ] } } ] }","volume":"20","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-02-24","publicationStatus":"PW","scienceBaseUri":"5386f751e4b0aa26cd7b5376","contributors":{"authors":[{"text":"Bell, David M.","contributorId":34423,"corporation":false,"usgs":true,"family":"Bell","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":494124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":494123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":494125,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70143004,"text":"70143004 - 2014 - Groundwater Dating with Atmospheric Halogenated Compounds","interactions":[],"lastModifiedDate":"2015-10-16T15:47:49","indexId":"70143004","displayToPublicDate":"2014-05-28T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Groundwater Dating with Atmospheric Halogenated Compounds","docAbstract":"<p>\"Atmospheric environmental releases refer to the emission of stable, long-lived compounds of solely anthropogenic origin into the atmosphere and the use of the compounds to estimate dates of their incorporation into groundwater.\"</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Scientific Dating Methods","language":"English","publisher":"Springer Netherlands","doi":"10.1007/978-94-007-6326-5_257-1","usgsCitation":"Haase, K.B., and Busenberg, E., 2014, Groundwater Dating with Atmospheric Halogenated Compounds, chap. <i>of</i> Encyclopedia of Scientific Dating Methods, p. 1-17, https://doi.org/10.1007/978-94-007-6326-5_257-1.","productDescription":"17 p.","startPage":"1","endPage":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056547","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":309990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298566,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/book/10.1007/978-94-007-6326-5"}],"edition":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-28","publicationStatus":"PW","scienceBaseUri":"56221fb1e4b06217fc479221","contributors":{"authors":[{"text":"Haase, Karl B. 0000-0002-6897-6494 khaase@usgs.gov","orcid":"https://orcid.org/0000-0002-6897-6494","contributorId":3405,"corporation":false,"usgs":true,"family":"Haase","given":"Karl","email":"khaase@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":542411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Busenberg, Eurybiades ebusenbe@usgs.gov","contributorId":2271,"corporation":false,"usgs":true,"family":"Busenberg","given":"Eurybiades","email":"ebusenbe@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":542412,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70100998,"text":"sir20115053 - 2014 - Proceedings of the U.S. Geological Survey Eighth Biennial Geographic Information Science Workshop and first The National Map Users Conference, Denver, Colorado, May 10-13, 2011","interactions":[],"lastModifiedDate":"2018-02-15T12:38:59","indexId":"sir20115053","displayToPublicDate":"2014-05-27T15:31:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5053","displayTitle":"Proceedings of the U.S. Geological Survey Eighth Biennial Geographic Information Science Workshop and first <i>The National Map</i> Users Conference, Denver, Colorado, May 10-13, 2011","title":"Proceedings of the U.S. Geological Survey Eighth Biennial Geographic Information Science Workshop and first The National Map Users Conference, Denver, Colorado, May 10-13, 2011","docAbstract":"<p>The U.S. Geological Survey (USGS) is sponsoring the first The National Map Users Conference in conjunction with the eighth biennial Geographic Information Science (GIS) Workshop on May 10-13, 2011, in Lakewood, Colorado. The GIS Workshop will be held at the USGS National Training Center, located on the Denver Federal Center, Lakewood, Colorado, May 10-11. The National Map Users Conference will be held directly after the GIS Workshop at the Denver Marriott West, a convention hotel in the Lakewood, Colorado area, May 12-13.</p>\n<br>\n<p>The National Map is designed to serve the Nation by providing geographic data and knowledge for government, industry, and public uses. The goal of The National Map Users Conference is to enhance communications and collaboration among the communities of users of and contributors to The National Map, including USGS, Department of the Interior, and other government GIS specialists and scientists, as well as the broader geospatial community. The USGS National Geospatial Program intends the conference to serve as a forum to engage users and more fully discover and meet their needs for the products and services of The National Map.</p>\n<br>\n<p>The goal of the GIS Workshop is to promote advancement of GIS and related technologies and concepts as well as the sharing of GIS knowledge within the USGS GIS community. This collaborative opportunity for multi-disciplinary GIS and associated professionals will allow attendees to present and discuss a wide variety of geospatial-related topics.</p>\n<br>\n<p>The Users Conference and Workshop collaboration will bring together scientists, managers, and data users who, through presentations, posters, seminars, workshops, and informal gatherings, will share accomplishments and progress on a variety of geospatial topics. During this joint event, attendees will have the opportunity to present or demonstrate their work; to develop their knowledge by attending hands-on workshops, seminars, and presentations given by professionals from USGS and other Federal Agencies, GIS related companies, and academia; and to network with other professionals to develop collaborative opportunities.</p>\n<br>\n<p>Specific conference topics include scientific and modeling applications using The National Map, opportunities for partnerships, and advances in geospatial technologies.</p>\n<br>\n<p>The first part of the week will be the GIS Workshop, offered as a pre-conference seminar. It will focus on hands-on GIS training and seminars concerning current topics of geospatial interest. The focus of the USGS GIS Workshop is to showcase specific techniques and concepts for using GIS in support of science. The presentations will be educational and not a marketing endeavor. To promote awareness of and interaction with selected USGS corporate and local science center data products, as well as promoting collaboration, a “GIS Olympics” event will be held Tuesday evening during the GIS Workshop.</p>\n<br>\n<p>The second part of the week will feature interactive briefings and discussions on issues and opportunities of The National Map. The focus of the Users Conference will be on the role of The National Map in supporting science initiatives, emergency response, land and wildlife management, and other activities. All presentations at the Users Conference include use or innovations related to a The National Map data theme or application. On Wednesday evening, a poster session is being held as a combined event for all attendees and as a juncture between the events. On Thursday evening, the Henry Gannett Award will be presented. Additionally, poster awards will be presented.</p>\n<br>\n<p>Several prominent speakers are featured at plenary sessions at The National Map Users Conference, including Deanna A. Archuleta, Deputy Assistant Secretary for Water and Science, Department of the Interior; Dr. Barbara P. Buttenfield, Professor of Geography at the University of Colorado in Boulder; best-selling author Frederick Reuss; and Dr. Joel Scheraga, Senior Advisor for Climate Adaptation, U.S. Environmental Protection Agency. Additionally, panel discussions have attracted participation from notable experts from government, academia, and the private sector.</p>\n<br>\n<p>This Proceedings volume will serve as an activity reference for workshop attendees, as well as an archive of technical abstracts presented at the workshop. Author, co-author, and presenter names, affiliations, and contact information are listed with presentation titles with the abstracts. Some hands-on sessions are offered twice; in these instances, abstracts submitted for publication are presented in the proceedings on both days on which they are offered.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115053","issn":"2328-0328","usgsCitation":"2014, Proceedings of the U.S. Geological Survey Eighth Biennial Geographic Information Science Workshop and first The National Map Users Conference, Denver, Colorado, May 10-13, 2011: U.S. Geological Survey Scientific Investigations Report 2011-5053, xiii, 91 p., https://doi.org/10.3133/sir20115053.","productDescription":"xiii, 91 p.","numberOfPages":"112","onlineOnly":"Y","temporalStart":"2011-05-10","temporalEnd":"2011-05-13","ipdsId":"IP-028727","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":287634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20115053.jpg"},{"id":287633,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5053/pdf/sir2011-5053.pdf"},{"id":287632,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5053/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385a5d6e4b09e18fc0239f7","contributors":{"editors":[{"text":"Sieverling, Jennifer B. jbsiever@usgs.gov","contributorId":4806,"corporation":false,"usgs":true,"family":"Sieverling","given":"Jennifer","email":"jbsiever@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":728631,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Dietterle, Jeffrey jdietterle@usgs.gov","contributorId":4150,"corporation":false,"usgs":true,"family":"Dietterle","given":"Jeffrey","email":"jdietterle@usgs.gov","affiliations":[],"preferred":true,"id":728632,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":70093208,"text":"sir20145021 - 2014 - Simulation of natural flows in major river basins in Alabama","interactions":[],"lastModifiedDate":"2014-05-27T15:20:17","indexId":"sir20145021","displayToPublicDate":"2014-05-27T15:14:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5021","title":"Simulation of natural flows in major river basins in Alabama","docAbstract":"The Office of Water Resources (OWR) in the Alabama Department of Economic and Community Affairs (ADECA) is charged with the assessment of the State’s water resources. This study developed a watershed model for the major river basins that are within Alabama or that cross Alabama’s borders, which serves as a planning tool for water-resource decisionmakers. The watershed model chosen to assess the natural amount of available water was the Precipitation-Runoff Modeling System (PRMS). Models were configured and calibrated for the following four river basins: Mobile, Gulf of Mexico, Middle Tennessee, and Chattahoochee. These models required calibrating unregulated U.S. Geological Survey (USGS) streamflow gaging stations to estimate natural flows, with emphases on low-flow calibration. The target calibration criteria required the errors be within the range of: (1) ±10 percent for total-streamflow volume, (2) ±10 percent for low-flow volume, (3) ±15 percent for high-flow volume, (4) ±30 percent for summer volume, and (5) above 0.5 for the correlation coefficient (R<sup>2</sup>). Seventy-one of the 90 calibration stations in the watershed models for the four major river basins within Alabama met the target calibration criteria. Variability in the model performance can be attributed to limitations in correctly representing certain hydrologic conditions that are characterized by some of the ecoregions in Alabama. Ecoregions consisting of predominantly clayey soils and (or) low topographic relief yield less successful calibration results, whereas ecoregions consisting of loamy and sandy soils and (or) high topographic relief yield more successful calibration results. Results indicate that the model does well in hilly regions with sandy soils because of rapid surface runoff and more direct interaction with subsurface flow.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145021","collaboration":"Prepared in cooperation with the Alabama Department of Economic and Community Affairs—Office of Water Resources","usgsCitation":"Hunt, A.M., and García, A., 2014, Simulation of natural flows in major river basins in Alabama: U.S. Geological Survey Scientific Investigations Report 2014-5021, Report: vi, 32 p.; Appendix 1; Downloads Directory, https://doi.org/10.3133/sir20145021.","productDescription":"Report: vi, 32 p.; Appendix 1; Downloads Directory","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049894","costCenters":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"links":[{"id":287629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145021.jpg"},{"id":287627,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5021/appendix/sir2014-5021_appendix1.pdf"},{"id":287628,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5021/downloads"},{"id":287625,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5021/"},{"id":287626,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5021/pdf/sir2014-5021.pdf"}],"country":"United States","state":"Alabama","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.0,29.5 ], [ -90.0,37.01 ], [ -82.99,37.01 ], [ -82.99,29.5 ], [ -90.0,29.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385a5d6e4b09e18fc0239fb","contributors":{"authors":[{"text":"Hunt, Alexandria M. amhunt@usgs.gov","contributorId":4927,"corporation":false,"usgs":true,"family":"Hunt","given":"Alexandria","email":"amhunt@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"García, Ana María","contributorId":9172,"corporation":false,"usgs":true,"family":"García","given":"Ana María","affiliations":[],"preferred":false,"id":489981,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70110631,"text":"70110631 - 2014 - Organizing phenological data resources to inform natural resource conservation","interactions":[],"lastModifiedDate":"2014-05-27T15:04:25","indexId":"70110631","displayToPublicDate":"2014-05-27T15:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Organizing phenological data resources to inform natural resource conservation","docAbstract":"Changes in the timing of plant and animal life cycle events, in response to climate change, are already happening across the globe. The impacts of these changes may affect biodiversity via disruption to mutualisms, trophic mismatches, invasions and population declines. To understand the nature, causes and consequences of changed, varied or static phenologies, new data resources and tools are being developed across the globe. The USA National Phenology Network is developing a long-term, multi-taxa phenological database, together with a customizable infrastructure, to support conservation and management needs. We present current and potential applications of the infrastructure, across scales and user groups. The approaches described here are congruent with recent trends towards multi-agency, large-scale research and action.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2013.07.003","usgsCitation":"Rosemartin, A.H., Crimmins, T., Enquist, C., Gerst, K., Kellermann, J.L., Posthumus, E., Denny, E.G., Guertin, P., Marsh, L., and Weltzin, J., 2014, Organizing phenological data resources to inform natural resource conservation: Biological Conservation, v. 173, p. 90-97, https://doi.org/10.1016/j.biocon.2013.07.003.","productDescription":"8 p.","startPage":"90","endPage":"97","numberOfPages":"8","ipdsId":"IP-042364","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":472978,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2013.07.003","text":"Publisher Index Page"},{"id":287624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287622,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2013.07.003"}],"volume":"173","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385a5d4e4b09e18fc0239f3","contributors":{"authors":[{"text":"Rosemartin, Alyssa H.","contributorId":30910,"corporation":false,"usgs":true,"family":"Rosemartin","given":"Alyssa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":494115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crimmins, Theresa","contributorId":103579,"corporation":false,"usgs":false,"family":"Crimmins","given":"Theresa","affiliations":[],"preferred":false,"id":494122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enquist, Carolyn A.F.","contributorId":87445,"corporation":false,"usgs":true,"family":"Enquist","given":"Carolyn A.F.","affiliations":[],"preferred":false,"id":494121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerst, Katharine L.","contributorId":29739,"corporation":false,"usgs":true,"family":"Gerst","given":"Katharine L.","affiliations":[],"preferred":false,"id":494114,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kellermann, Jherime L.","contributorId":73111,"corporation":false,"usgs":true,"family":"Kellermann","given":"Jherime","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":494118,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Posthumus, Erin E.","contributorId":77460,"corporation":false,"usgs":true,"family":"Posthumus","given":"Erin E.","affiliations":[],"preferred":false,"id":494119,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Denny, Ellen G.","contributorId":79803,"corporation":false,"usgs":true,"family":"Denny","given":"Ellen","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":494120,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Guertin, Patricia","contributorId":37428,"corporation":false,"usgs":true,"family":"Guertin","given":"Patricia","affiliations":[],"preferred":false,"id":494116,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Marsh, Lee","contributorId":16755,"corporation":false,"usgs":true,"family":"Marsh","given":"Lee","affiliations":[],"preferred":false,"id":494113,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Weltzin, Jake F.","contributorId":51005,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake F.","affiliations":[],"preferred":false,"id":494117,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70110624,"text":"70110624 - 2014 - An approach for filtering hyperbolically positioned underwater acoustic telemetry data with position precision estimates","interactions":[],"lastModifiedDate":"2014-05-27T14:55:23","indexId":"70110624","displayToPublicDate":"2014-05-27T14:50:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"title":"An approach for filtering hyperbolically positioned underwater acoustic telemetry data with position precision estimates","docAbstract":"<p>Background<br/>\nTelemetry systems that estimate animal positions with hyperbolic positioning algorithms also provide a technology-specific estimate of position precision (e.g., horizontal position error (HPE) for the VEMCO positioning system). Position precision estimates (e.g., dilution of precision for a global positioning system (GPS)) have been used extensively to identify and remove positions with unacceptable measurement error in studies of terrestrial and surfacing aquatic animals such as turtles and seals. Few underwater acoustic telemetry studies report using position precision estimates to filter data in accordance with explicit data quality objectives because the relationship between the precision estimate and measurement error is not understood or not evaluated. A four-step filtering approach which incorporates data-filtering principles developed for GPS tracking of terrestrial animals is demonstrated. HPE was evaluated for its effectiveness to remove uncertain fish positions acquired from a new underwater fine-scale passive acoustic monitoring system.</p>\n<br/>\n<p>Results<br/>\nFour filtering objectives were identified based on the need for three sequential future analyses and four data quality criteria were developed for evaluating the performance of individual filters (step 1). The unfiltered, baseline position confidence from known-position test tags was considered to determine if filtering was necessary (step 2). An HPE filter cutoff of 8 was selected to meet the four criteria (step 3), and it was determined that one analysis may need to be adjusted for use with this dataset. The data quality objectives, criteria, and filter selection rationale were reported (step 4).</p>\n<br/>\n<p>Conclusions<br/>\nThe use of position precision estimates that reflect the confidence in the positioning process should be considered prior to the use of biological filters that rely on a priori expectations of the subject’s movement capacities and tendencies. Position confidence goals should be determined based upon the needs of the research questions and analysis requirements versus arbitrary selection, in which filters of previous studies are adopted. Data filtering with this approach ensures that data quality is sufficient for the selected analyses and presents the opportunity to adjust or identify a different analysis in the event that the requisite precision was not attained. Ignoring these steps puts a practitioner at risk of reporting errant findings.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Animal Biotelemetry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"BioMed Central","publisherLocation":"London","doi":"10.1186/2050-3385-2-7","usgsCitation":"Meckley, T., Holbrook, C., Wagner, C., and Binder, T., 2014, An approach for filtering hyperbolically positioned underwater acoustic telemetry data with position precision estimates: Animal Biotelemetry, v. 2, 13 p., https://doi.org/10.1186/2050-3385-2-7.","productDescription":"13 p.","numberOfPages":"13","ipdsId":"IP-055879","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":472979,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/2050-3385-2-7","text":"Publisher Index Page"},{"id":287621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287620,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1186/2050-3385-2-7"}],"volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385a5d2e4b09e18fc0239eb","contributors":{"authors":[{"text":"Meckley, Trevor D.","contributorId":67417,"corporation":false,"usgs":true,"family":"Meckley","given":"Trevor D.","affiliations":[],"preferred":false,"id":494098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":4198,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher M.","email":"cholbrook@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":494096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, C. Michael","contributorId":83019,"corporation":false,"usgs":true,"family":"Wagner","given":"C. Michael","affiliations":[],"preferred":false,"id":494099,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Binder, Thomas R.","contributorId":23056,"corporation":false,"usgs":false,"family":"Binder","given":"Thomas R.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":494097,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70110625,"text":"70110625 - 2014 - Standardized phenology monitoring methods to track plant and animal activity for science and resource management applications","interactions":[],"lastModifiedDate":"2014-05-27T15:10:07","indexId":"70110625","displayToPublicDate":"2014-05-27T14:24:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2031,"text":"International Journal of Biometeorology","active":true,"publicationSubtype":{"id":10}},"title":"Standardized phenology monitoring methods to track plant and animal activity for science and resource management applications","docAbstract":"Phenology offers critical insights into the responses of species to climate change; shifts in species’ phenologies can result in disruptions to the ecosystem processes and services upon which human livelihood depends. To better detect such shifts, scientists need long-term phenological records covering many taxa and across a broad geographic distribution. To date, phenological observation efforts across the USA have been geographically limited and have used different methods, making comparisons across sites and species difficult. To facilitate coordinated cross-site, cross-species, and geographically extensive phenological monitoring across the nation, the USA National Phenology Network has developed in situ monitoring protocols standardized across taxonomic groups and ecosystem types for terrestrial, freshwater, and marine plant and animal taxa. The protocols include elements that allow enhanced detection and description of phenological responses, including assessment of phenological “status”, or the ability to track presence–absence of a particular phenophase, as well as standards for documenting the degree to which phenological activity is expressed in terms of intensity or abundance. Data collected by this method can be integrated with historical phenology data sets, enabling the development of databases for spatial and temporal assessment of changes in status and trends of disparate organisms. To build a common, spatially, and temporally extensive multi-taxa phenological data set available for a variety of research and science applications, we encourage scientists, resources managers, and others conducting ecological monitoring or research to consider utilization of these standardized protocols for tracking the seasonal activity of plants and animals.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Biometeorology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00484-014-0789-5","usgsCitation":"Denny, E.G., Gerst, K., Miller-Rushing, A.J., Tierney, G.L., Crimmins, T., Enquist, C., Guertin, P., Rosemartin, A.H., Schwartz, M., Thomas, K.A., and Weltzin, J., 2014, Standardized phenology monitoring methods to track plant and animal activity for science and resource management applications: International Journal of Biometeorology, v. 58, no. 4, p. 591-601, https://doi.org/10.1007/s00484-014-0789-5.","productDescription":"11 p.","startPage":"591","endPage":"601","numberOfPages":"11","ipdsId":"IP-041217","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":472980,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00484-014-0789-5","text":"Publisher Index Page"},{"id":287617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287616,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00484-014-0789-5"}],"volume":"58","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-01-25","publicationStatus":"PW","scienceBaseUri":"5385a5d6e4b09e18fc0239ff","contributors":{"authors":[{"text":"Denny, Ellen G.","contributorId":79803,"corporation":false,"usgs":true,"family":"Denny","given":"Ellen","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":494108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gerst, Katharine L.","contributorId":29739,"corporation":false,"usgs":true,"family":"Gerst","given":"Katharine L.","affiliations":[],"preferred":false,"id":494103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller-Rushing, Abraham J.","contributorId":37261,"corporation":false,"usgs":true,"family":"Miller-Rushing","given":"Abraham","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":494105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tierney, Geraldine L.","contributorId":26218,"corporation":false,"usgs":true,"family":"Tierney","given":"Geraldine","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":494102,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crimmins, Theresa","contributorId":103579,"corporation":false,"usgs":false,"family":"Crimmins","given":"Theresa","affiliations":[],"preferred":false,"id":494110,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Enquist, Carolyn A.F.","contributorId":87445,"corporation":false,"usgs":true,"family":"Enquist","given":"Carolyn A.F.","affiliations":[],"preferred":false,"id":494109,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Guertin, Patricia","contributorId":37428,"corporation":false,"usgs":true,"family":"Guertin","given":"Patricia","affiliations":[],"preferred":false,"id":494106,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rosemartin, Alyssa H.","contributorId":30910,"corporation":false,"usgs":true,"family":"Rosemartin","given":"Alyssa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":494104,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schwartz, Mark D.","contributorId":11092,"corporation":false,"usgs":true,"family":"Schwartz","given":"Mark D.","affiliations":[],"preferred":false,"id":494101,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Thomas, Kathryn A. 0000-0002-7131-8564 kathryn_a_thomas@usgs.gov","orcid":"https://orcid.org/0000-0002-7131-8564","contributorId":167,"corporation":false,"usgs":true,"family":"Thomas","given":"Kathryn","email":"kathryn_a_thomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":494100,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Weltzin, Jake F.","contributorId":51005,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake F.","affiliations":[],"preferred":false,"id":494107,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70110604,"text":"70110604 - 2014 - Mercury speciation in the Mt. Amiata mining district (Italy): interplay between urban activities and mercury contamination","interactions":[],"lastModifiedDate":"2014-05-27T11:41:54","indexId":"70110604","displayToPublicDate":"2014-05-27T11:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Mercury speciation in the Mt. Amiata mining district (Italy): interplay between urban activities and mercury contamination","docAbstract":"A fundamental step to evaluate the biogeochemical and eco-toxicological significance of Hg dispersion in the environment is to determine speciation of Hg in solid matrices. In this study, several analytical techniques such as scanning electron microscopy-energy dispersive X-ray spectroscopy (SEM-EDS), sequential chemical extractions (SCEs), and X-ray absorption spectroscopy (XANES) were used to identify Hg compounds and Hg speciation in samples collected from the Mt. Amiata Hg mining district, southern Tuscany, Italy. Different geological materials, such as mine waste calcine (retorted ore), soil, stream sediment, and stream water suspended particulate matter were analyzed. Results show that the samples were generally composed of highly insoluble Hg compounds such as sulphides (HgS, cinnabar and metacinnabar), and more soluble Hg halides such as those associated with the mosesite group. Other moderately soluble Hg compounds, HgCl<sub>2</sub>, HgO and Hg<sup>0</sup>, were also identified in stream sediments draining the mining area. The presence of these minerals suggests active and continuous runoff of soluble Hg compounds from calcines, where such Hg compounds form during retorting, or later in secondary processes. Specifically, we suggest that, due to the proximity of Hg mines to the urban center of Abbadia San Salvatore, the influence of other anthropogenic activities was a key factor for Hg speciation, resulting in the formation of unusual Hg-minerals such as mosesite.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2014.04.023","usgsCitation":"Rimondi, V., Bardelli, F., Benvenuti, M., Costagliola, P., Gray, J.E., and Lattanzi, P., 2014, Mercury speciation in the Mt. Amiata mining district (Italy): interplay between urban activities and mercury contamination: Chemical Geology, v. 380, p. 110-118, https://doi.org/10.1016/j.chemgeo.2014.04.023.","productDescription":"9 p.","startPage":"110","endPage":"118","numberOfPages":"9","ipdsId":"IP-054601","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":287594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287588,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2014.04.023"}],"country":"Italy","state":"Tuscany","otherGeospatial":"Mt. Amiata","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 10.4496,42.2384 ], [ 10.4496,43.3988 ], [ 12.3714,43.3988 ], [ 12.3714,42.2384 ], [ 10.4496,42.2384 ] ] ] } } ] }","volume":"380","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385a5d4e4b09e18fc0239ef","contributors":{"authors":[{"text":"Rimondi, Valentina","contributorId":27772,"corporation":false,"usgs":true,"family":"Rimondi","given":"Valentina","email":"","affiliations":[],"preferred":false,"id":494090,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bardelli, Fabrizio","contributorId":98645,"corporation":false,"usgs":true,"family":"Bardelli","given":"Fabrizio","email":"","affiliations":[],"preferred":false,"id":494093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benvenuti, Marco","contributorId":44083,"corporation":false,"usgs":true,"family":"Benvenuti","given":"Marco","email":"","affiliations":[],"preferred":false,"id":494091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Costagliola, Pilario","contributorId":106404,"corporation":false,"usgs":true,"family":"Costagliola","given":"Pilario","email":"","affiliations":[],"preferred":false,"id":494094,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gray, John E. jgray@usgs.gov","contributorId":1275,"corporation":false,"usgs":true,"family":"Gray","given":"John","email":"jgray@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":494089,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lattanzi, Pierfranco","contributorId":87845,"corporation":false,"usgs":true,"family":"Lattanzi","given":"Pierfranco","affiliations":[],"preferred":false,"id":494092,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70131506,"text":"70131506 - 2014 - Quantifying the effectiveness of conservation measures to control the spread of anthropogenic hybridization in stream salmonids: A climate adaptation case study","interactions":[],"lastModifiedDate":"2020-12-31T19:51:01.550543","indexId":"70131506","displayToPublicDate":"2014-05-27T01:00:00","publicationYear":"2014","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":"Quantifying the effectiveness of conservation measures to control the spread of anthropogenic hybridization in stream salmonids: A climate adaptation case study","docAbstract":"<p><span>Quantifying the effectiveness of management actions to mitigate the effects of changing climatic conditions (i.e., climate adaptation) can be difficult, yet critical for conservation. We used population genetic data from 1984 to 2011 to assess the degree to which ambient climatic conditions and targeted suppression of sources of nonnative Rainbow Trout&nbsp;</span><i>Oncorhynchus mykiss</i><span>&nbsp;have influenced the spread of introgressive hybridization in native populations of Westslope Cutthroat Trout&nbsp;</span><i>O. clarkii lewisi</i><span>. We found rapid expansion in the spatial distribution and proportion of nonnative genetic admixture in hybridized populations from 1984 to 2004, but minimal change since 2004. The spread of hybridization was negatively correlated with the number of streamflow events in May that exceeded the 75th percentile of historic flows (</span><i>r</i><span>&nbsp;= −0.98) and positively correlated with August stream temperatures (</span><i>r</i><span>&nbsp;= 0.89). Concomitantly, suppression data showed a 60% decline in catch per unit effort for fish with a high proportion of Rainbow Trout admixture, rendering some uncertainty as to the relative strength of factors controlling the spread of hybridization. Our results illustrate the importance of initiating management actions to mitigate the potential effects of climate change, even where data describing the effectiveness of such actions are initially limited but the risks are severe.</span></p>","language":"English","publisher":"Taylor & Francis","usgsCitation":"Al-Chokhachy, R.K., Muhlfeld, C.C., Boyer, M., Jones, L.A., Steed, A., and Kershner, J.L., 2014, Quantifying the effectiveness of conservation measures to control the spread of anthropogenic hybridization in stream salmonids: A climate adaptation case study: North American Journal of Fisheries Management, v. 34, no. 3, p. 642-652.","productDescription":"11 p.","startPage":"642","endPage":"652","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052241","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":295949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":381804,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://afspubs.onlinelibrary.wiley.com/doi/10.1080/02755947.2014.901259"}],"country":"United States","state":"Montana","otherGeospatial":"Flathead River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.093017578125,\n              47.35371061951363\n            ],\n            [\n              -114.093017578125,\n              48.741700879765396\n            ],\n            [\n              -111.588134765625,\n              48.741700879765396\n            ],\n            [\n              -111.588134765625,\n              47.35371061951363\n            ],\n            [\n              -114.093017578125,\n              47.35371061951363\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"545ded2de4b0ba8303f92b9a","contributors":{"authors":[{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":521370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":521371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyer, Matthew","contributorId":124595,"corporation":false,"usgs":false,"family":"Boyer","given":"Matthew","affiliations":[{"id":5133,"text":"Montana Fish Wildlife and Parks, Kalispell, Montana 59901","active":true,"usgs":false}],"preferred":false,"id":521372,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Leslie A. 0000-0002-4953-7189 lajones@usgs.gov","orcid":"https://orcid.org/0000-0002-4953-7189","contributorId":4599,"corporation":false,"usgs":true,"family":"Jones","given":"Leslie","email":"lajones@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":521373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steed, Amber","contributorId":124596,"corporation":false,"usgs":false,"family":"Steed","given":"Amber","affiliations":[{"id":5133,"text":"Montana Fish Wildlife and Parks, Kalispell, Montana 59901","active":true,"usgs":false}],"preferred":false,"id":521374,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kershner, Jeffrey L. 0000-0002-7093-9860 jkershner@usgs.gov","orcid":"https://orcid.org/0000-0002-7093-9860","contributorId":310,"corporation":false,"usgs":true,"family":"Kershner","given":"Jeffrey","email":"jkershner@usgs.gov","middleInitial":"L.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":521375,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70134680,"text":"70134680 - 2014 - Prevalence, transmission, and genetic diversity of blood parasites infecting tundra-nesting geese in Alaska","interactions":[],"lastModifiedDate":"2018-06-20T20:25:23","indexId":"70134680","displayToPublicDate":"2014-05-26T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Prevalence, transmission, and genetic diversity of blood parasites infecting tundra-nesting geese in Alaska","docAbstract":"<p>A total of 842 blood samples collected from five species of tundra-nesting geese in Alaska was screened for haemosporidian parasites using molecular techniques. Parasites of the genera<em>Leucocytozoon</em>&nbsp;Danilewsky, 1890,&nbsp;<em>Haemoproteus</em>&nbsp;Kruse, 1890, and&nbsp;<em>Plasmodium</em>&nbsp;Marchiafava and Celli, 1885 were detected in 169 (20%), 3 (&lt;1%), and 0 (0%) samples, respectively. Occupancy modeling was used to estimate prevalence of&nbsp;<em>Leucocytozoon</em>&nbsp;parasites and assess variation relative to species, age, sex, geographic area, year, and decade. Species, age, and decade were identified as important in explaining differences in prevalence of&nbsp;<em>Leucocytozoon</em>parasites.&nbsp;<em>Leucocytozoon</em>&nbsp;parasites were detected in goslings sampled along the Arctic Coastal Plain using both historic and contemporary samples, which provided support for transmission in the North American Arctic. In contrast, lack of detection of&nbsp;<em>Haemoproteus</em>&nbsp;and&nbsp;<em>Plasmodium</em>parasites in goslings (<em>n</em>&nbsp;= 238) provided evidence to suggest that the transmission of parasites of these genera may not occur among waterfowl using tundra habitats in Alaska, or alternatively, may only occur at low levels. Five haemosporidian genetic lineages shared among different species of geese sampled from two geographic areas were indicative of interspecies parasite transmission and supported broad parasite or vector distributions. However, identical<em>Leucocytozoon</em>&nbsp;and&nbsp;<em>Haemoproteus</em>&nbsp;lineages on public databases were limited to waterfowl hosts suggesting constraints in the range of parasite hosts.</p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjz-2014-0041","usgsCitation":"Ramey, A.M., Reed, J.A., Schmutz, J.A., Fondell, T.F., Meixell, B.W., Hupp, J.W., Ward, D.H., Terenzi, J., and Ely, C.R., 2014, Prevalence, transmission, and genetic diversity of blood parasites infecting tundra-nesting geese in Alaska: Canadian Journal of Zoology, v. 92, no. 8, p. 699-706, https://doi.org/10.1139/cjz-2014-0041.","productDescription":"8 p.","startPage":"699","endPage":"706","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054447","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":296438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -170.2001953125,\n              62.97519757003264\n            ],\n            [\n              -170.2001953125,\n              71.39916455383504\n            ],\n            [\n              -140.9765625,\n              71.39916455383504\n            ],\n            [\n              -140.9765625,\n              62.97519757003264\n            ],\n            [\n              -170.2001953125,\n              62.97519757003264\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"92","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"548193c8e4b0aa6d778520fa","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, John A. 0000-0002-3239-6906 jareed@usgs.gov","orcid":"https://orcid.org/0000-0002-3239-6906","contributorId":127683,"corporation":false,"usgs":true,"family":"Reed","given":"John","email":"jareed@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":526302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526303,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fondell, Tom F. tfondell@usgs.gov","contributorId":3563,"corporation":false,"usgs":true,"family":"Fondell","given":"Tom","email":"tfondell@usgs.gov","middleInitial":"F.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":526304,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meixell, Brandt W. 0000-0002-6738-0349 bmeixell@usgs.gov","orcid":"https://orcid.org/0000-0002-6738-0349","contributorId":138716,"corporation":false,"usgs":true,"family":"Meixell","given":"Brandt","email":"bmeixell@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hupp, Jerry W. 0000-0002-6439-3910 jhupp@usgs.gov","orcid":"https://orcid.org/0000-0002-6439-3910","contributorId":127803,"corporation":false,"usgs":true,"family":"Hupp","given":"Jerry","email":"jhupp@usgs.gov","middleInitial":"W.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526306,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":526307,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Terenzi, John jterenzi@usgs.gov","contributorId":5085,"corporation":false,"usgs":true,"family":"Terenzi","given":"John","email":"jterenzi@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526308,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ely, Craig R. 0000-0003-4262-0892 cely@usgs.gov","orcid":"https://orcid.org/0000-0003-4262-0892","contributorId":3214,"corporation":false,"usgs":true,"family":"Ely","given":"Craig","email":"cely@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526309,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70132322,"text":"70132322 - 2014 - Invasive hybridization in a threatened species is accelerated by climate change","interactions":[],"lastModifiedDate":"2020-12-31T19:35:08.889191","indexId":"70132322","displayToPublicDate":"2014-05-25T01:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Invasive hybridization in a threatened species is accelerated by climate change","docAbstract":"<p><span>Climate change will decrease worldwide biodiversity through a number of potential pathways</span><sup><a id=\"ref-link-section-d51451e527\" title=\"Parmesan, C. Ecological and evolutionary responses to recent climate change. Ann. Rev. Ecol. Evol. Syst. 37, 637–669 (2006).\" href=\"https://www.nature.com/articles/nclimate2252#ref-CR1\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 1\" data-mce-href=\"https://www.nature.com/articles/nclimate2252#ref-CR1\">1</a></sup><span>, including invasive hybridization</span><sup><a id=\"ref-link-section-d51451e531\" title=\"Hoffmann, A. A. &amp; Sgro, C. M. Climate change and evolutionary adaptation. Nature 470, 479–485 (2011).\" href=\"https://www.nature.com/articles/nclimate2252#ref-CR2\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 2\" data-mce-href=\"https://www.nature.com/articles/nclimate2252#ref-CR2\">2</a></sup><span>&nbsp;(cross-breeding between invasive and native species). How climate warming influences the spread of hybridization and loss of native genomes poses difficult ecological and evolutionary questions with little empirical information to guide conservation management decisions</span><sup><a id=\"ref-link-section-d51451e535\" title=\"Moritz, C. &amp; Agudo, R. The future of species under climate change: Resilience or decline? Science 341, 504–508 (2013).\" href=\"https://www.nature.com/articles/nclimate2252#ref-CR3\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 3\" data-mce-href=\"https://www.nature.com/articles/nclimate2252#ref-CR3\">3</a></sup><span>. Here we combine long-term genetic monitoring data with high-resolution climate and stream temperature predictions to evaluate how recent climate warming has influenced the spatio-temporal spread of human-mediated hybridization between threatened native westslope cutthroat trout (</span><i>Oncorhynchus clarkii lewisi</i><span>) and non-native rainbow trout (</span><i>Oncorhynchus mykiss</i><span>), the world’s most widely introduced invasive fish</span><sup><a id=\"ref-link-section-d51451e546\" title=\"Halverson, A. An Entirely Synthetic Fish: How Rainbow Trout Beguiled America and Overran the World (Yale Univ. Press, 2010).\" href=\"https://www.nature.com/articles/nclimate2252#ref-CR4\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 4\" data-mce-href=\"https://www.nature.com/articles/nclimate2252#ref-CR4\">4</a></sup><span>. Despite widespread release of millions of rainbow trout over the past century within the Flathead River system</span><sup><a id=\"ref-link-section-d51451e550\" title=\"Hitt, N. P., Frissell, C. A., Muhlfeld, C. C. &amp; Allendorf, F. W. Spread of hybridization between native westslope cutthroat trout, Oncorhynchus clarki lewisi, and nonnative rainbow trout, Oncorhynchus mykiss. Can. J. Fish. Aquat. Sci. 60, 1440–1451 (2003).\" href=\"https://www.nature.com/articles/nclimate2252#ref-CR5\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 5\" data-mce-href=\"https://www.nature.com/articles/nclimate2252#ref-CR5\">5</a></sup><span>, a large relatively pristine watershed in western North America, historical samples revealed that hybridization was prevalent only in one (source) population. During a subsequent 30-year period of accelerated warming, hybridization spread rapidly and was strongly linked to interactions between climatic drivers—precipitation and temperature—and distance to the source population. Specifically, decreases in spring precipitation and increases in summer stream temperature probably promoted upstream expansion of hybridization throughout the system. This study shows that rapid climate warming can exacerbate interactions between native and non-native species through invasive hybridization, which could spell genomic extinction for many&nbsp;species.</span></p>","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/nclimate2252","usgsCitation":"Muhlfeld, C.C., Kovach, R., Jones, L.A., Al-Chokhachy, R.K., Boyer, M.C., Leary, R., Lowe, W.H., Luikart, G., and Allendorf, F.W., 2014, Invasive hybridization in a threatened species is accelerated by climate change: Nature Climate Change, v. 4, p. 620-624, https://doi.org/10.1038/nclimate2252.","productDescription":"5 p.","startPage":"620","endPage":"624","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053196","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":295941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alberta, Idaho, Montana","otherGeospatial":"Flathead River system","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.4111328125,\n              47.12247581664114\n            ],\n            [\n              -113.02734374999999,\n              47.12247581664114\n            ],\n            [\n              -113.02734374999999,\n              50.75035931136963\n            ],\n            [\n              -116.4111328125,\n              50.75035931136963\n            ],\n            [\n              -116.4111328125,\n              47.12247581664114\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","noUsgsAuthors":false,"publicationDate":"2014-05-25","publicationStatus":"PW","scienceBaseUri":"545ded2ce4b0ba8303f92b8d","contributors":{"authors":[{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":522733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kovach, Ryan P.","contributorId":126724,"corporation":false,"usgs":false,"family":"Kovach","given":"Ryan P.","affiliations":[{"id":6580,"text":"University of Montana, Flathead Lake Biological Station, Polson, Montana 59860, USA","active":true,"usgs":false}],"preferred":false,"id":522734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Leslie A. 0000-0002-4953-7189 lajones@usgs.gov","orcid":"https://orcid.org/0000-0002-4953-7189","contributorId":4599,"corporation":false,"usgs":true,"family":"Jones","given":"Leslie","email":"lajones@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":522735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":522736,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyer, Matthew C.","contributorId":126725,"corporation":false,"usgs":false,"family":"Boyer","given":"Matthew","email":"","middleInitial":"C.","affiliations":[{"id":6581,"text":"Montana Fish, Wildlife and Parks, Kalispell, Montana 59901, USA","active":true,"usgs":false}],"preferred":false,"id":522737,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leary, Robb F.","contributorId":126726,"corporation":false,"usgs":false,"family":"Leary","given":"Robb F.","affiliations":[{"id":6582,"text":"Montana Fish, Wildlife and Parks, Missoula, Montana 59801, USA","active":true,"usgs":false}],"preferred":false,"id":522738,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lowe, Winsor H.","contributorId":126722,"corporation":false,"usgs":false,"family":"Lowe","given":"Winsor","email":"","middleInitial":"H.","affiliations":[{"id":6577,"text":"University of Montana, Division of Biological Sciences, Missoula, MT, 59812, USA.","active":true,"usgs":false}],"preferred":false,"id":522739,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Luikart, Gordon","contributorId":124531,"corporation":false,"usgs":false,"family":"Luikart","given":"Gordon","affiliations":[{"id":5091,"text":"Flathead Lake Biological Station, Fish and Wildlife Genomics Group, Division of Biological Sciences, University of Montana, Polson, MT 59860, USA","active":true,"usgs":false}],"preferred":false,"id":522740,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Allendorf, Fred W.","contributorId":124525,"corporation":false,"usgs":false,"family":"Allendorf","given":"Fred","email":"","middleInitial":"W.","affiliations":[{"id":5084,"text":"Division of Biological Sciences, University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":522741,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70110411,"text":"70110411 - 2014 - Factors affecting temporal variability of arsenic in groundwater used for drinking water supply in the United States","interactions":[],"lastModifiedDate":"2014-12-12T14:48:16","indexId":"70110411","displayToPublicDate":"2014-05-23T15:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Factors affecting temporal variability of arsenic in groundwater used for drinking water supply in the United States","docAbstract":"<p>The occurrence of arsenic in groundwater is a recognized environmental hazard with worldwide importance and much effort has been focused on surveying and predicting where arsenic occurs. Temporal variability is one aspect of this environmental hazard that has until recently received less attention than other aspects. For this study, we analyzed 1245 wells with two samples per well. We suggest that temporal variability, often reported as affecting very few wells, is perhaps a larger issue than it appears and has been masked by datasets with large numbers of non-detect data. Although there was only a slight difference in arsenic concentration variability among samples from public and private wells (p = 0.0452), the range of variability was larger for public than for private wells. Further, we relate the variability we see to geochemical factors&mdash;primarily variability in redox&mdash;but also variability in pH and major-ion chemistry. We also show that in New England there is a weak but statistically significant indication that seasonality may have an effect on concentrations, whereby concentrations in the first two quarters of the year (January&ndash;June) are significantly lower than in the second two quarters (July&ndash;December) (p &lt; 0.0001). In the Central Valley of California, though not statistically significant (p = 0.4169), arsenic concentration is lower in the first quarter of the year but increases in subsequent quarters. In both regions, these changes appear to follow groundwater levels. It is possible that this difference in arsenic concentrations is related to groundwater level changes, pumping stresses, evapotranspiration effects, or perhaps mixing of more oxidizing, lower pH recharge water in wetter months. Focusing on the understanding the geochemical conditions in aquifers where arsenic concentrations are concerns and causes of geochemical changes in the groundwater environment may lead to a better understanding of where and by how much arsenic will vary over time.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2014.02.057","usgsCitation":"Ayotte, J., Belaval, M., Olson, S.A., Burow, K.R., Flanagan, S., Hinkle, S.R., and Lindsey, B., 2014, Factors affecting temporal variability of arsenic in groundwater used for drinking water supply in the United States: Science of the Total Environment, v. 505, p. 1370-1379, https://doi.org/10.1016/j.scitotenv.2014.02.057.","productDescription":"10 p.","startPage":"1370","endPage":"1379","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053212","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":287580,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287579,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2014.02.057"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"505","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"538051d8e4b0826cd5016536","contributors":{"authors":[{"text":"Ayotte, Joseph D. jayotte@usgs.gov","contributorId":1802,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph D.","email":"jayotte@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":494066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belaval, Marcel","contributorId":21636,"corporation":false,"usgs":true,"family":"Belaval","given":"Marcel","affiliations":[],"preferred":false,"id":494069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olson, Scott A. 0000-0002-1064-2125 solson@usgs.gov","orcid":"https://orcid.org/0000-0002-1064-2125","contributorId":2059,"corporation":false,"usgs":true,"family":"Olson","given":"Scott","email":"solson@usgs.gov","middleInitial":"A.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burow, Karen R. 0000-0001-6006-6667 krburow@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-6667","contributorId":1504,"corporation":false,"usgs":true,"family":"Burow","given":"Karen","email":"krburow@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flanagan, Sarah M.","contributorId":8492,"corporation":false,"usgs":true,"family":"Flanagan","given":"Sarah M.","affiliations":[],"preferred":false,"id":494068,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hinkle, Stephen R. srhinkle@usgs.gov","contributorId":1171,"corporation":false,"usgs":true,"family":"Hinkle","given":"Stephen","email":"srhinkle@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494064,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lindsey, Bruce D. 0000-0002-7180-4319 blindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-7180-4319","contributorId":434,"corporation":false,"usgs":true,"family":"Lindsey","given":"Bruce D.","email":"blindsey@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":494063,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70110359,"text":"70110359 - 2014 - Regional differentiation among populations of the Diamondback terrapin (<i>Malaclemys terrapin</i>)","interactions":[],"lastModifiedDate":"2014-05-23T15:17:31","indexId":"70110359","displayToPublicDate":"2014-05-23T15:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Regional differentiation among populations of the Diamondback terrapin (<i>Malaclemys terrapin</i>)","docAbstract":"The Diamondback terrapin (Malaclemys terrapin) is a brackish-water turtle species whose populations have been fragmented due to anthropogenic activity such as development of coastal habitat and entrapment in commercial blue crab (Callinectes sapidus) fishing gear. Genetic analyses can improve conservation efforts for the long-term protection of the species. We used microsatellite DNA analysis to investigate levels of gene flow among and genetic variability within 21 geographically separate collections of the species distributed from Massachusetts to Texas. Quantified levels of genetic variability (allelic diversity, genotypic frequencies, and heterozygosity) revealed three zones of genetic discontinuity, resulting in four discrete populations: Northeast Atlantic, Coastal Mid-Atlantic, Florida and Texas/Louisiana. The average number of alleles and expected heterozygosity for the four genetic clusters were N<sub>A</sub> = 6.54 and H<sub>E</sub> = 0.050, respectively. However, the geographic boundaries of the populations did not correspond to accepted terrapin subspecies limits. Our results illuminate not only the need to sample terrapins in additional sites, specifically in the southeast, but also the necessity for allowing uninterrupted gene flow among population groupings to preserve current levels of genetic diversity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Genetics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10592-014-0563-6","usgsCitation":"Hart, K.M., Hunter, M., and King, T.L., 2014, Regional differentiation among populations of the Diamondback terrapin (<i>Malaclemys terrapin</i>): Conservation Genetics, v. 15, no. 3, p. 593-603, https://doi.org/10.1007/s10592-014-0563-6.","productDescription":"11 p.","startPage":"593","endPage":"603","numberOfPages":"11","ipdsId":"IP-045790","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":287574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287573,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10592-014-0563-6"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.0,20.0 ], [ -95.0,45.0 ], [ -65.0,45.0 ], [ -65.0,20.0 ], [ -95.0,20.0 ] ] ] } } ] }","volume":"15","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-01-23","publicationStatus":"PW","scienceBaseUri":"53805283e4b0826cd5016876","contributors":{"authors":[{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":494041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunter, Margaret E. 0000-0002-4760-9302 mhunter@usgs.gov","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":4888,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret E.","email":"mhunter@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":494042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"King, Tim L.","contributorId":48070,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":494043,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70109244,"text":"70109244 - 2014 - Tsunami forecast by joint inversion of real-time tsunami waveforms and seismic of GPS data: application to the Tohoku 2011 tsunami","interactions":[],"lastModifiedDate":"2016-12-14T11:45:12","indexId":"70109244","displayToPublicDate":"2014-05-23T15:07:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Tsunami forecast by joint inversion of real-time tsunami waveforms and seismic of GPS data: application to the Tohoku 2011 tsunami","docAbstract":"<p>Correctly characterizing tsunami source generation is the most critical component of modern tsunami forecasting. Although difficult to quantify directly, a tsunami source can be modeled via different methods using a variety of measurements from deep-ocean tsunameters, seismometers, GPS, and other advanced instruments, some of which in or near real time. Here we assess the performance of different source models for the destructive 11 March 2011 Japan tsunami using model&ndash;data comparison for the generation, propagation, and inundation in the near field of Japan. This comparative study of tsunami source models addresses the advantages and limitations of different real-time measurements with potential use in early tsunami warning in the near and far field. The study highlights the critical role of deep-ocean tsunami measurements and rapid validation of the approximate tsunami source for high-quality forecasting. We show that these tsunami measurements are compatible with other real-time geodetic data, and may provide more insightful understanding of tsunami generation from earthquakes, as well as from nonseismic processes such as submarine landslide failures.</p>","language":"English","publisher":"Springer","doi":"10.1007/s00024-014-0777-z","usgsCitation":"Yong, W., Newman, A.V., Hayes, G., Titov, V.V., and Tang, L., 2014, Tsunami forecast by joint inversion of real-time tsunami waveforms and seismic of GPS data: application to the Tohoku 2011 tsunami: Pure and Applied Geophysics, v. 171, no. 12, p. 3281-3305, https://doi.org/10.1007/s00024-014-0777-z.","productDescription":"25 p.","startPage":"3281","endPage":"3305","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053877","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":287572,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287571,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00024-014-0777-z"}],"country":"Japan","otherGeospatial":"Honshu","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 130.0,25.0 ], [ 130.0,50.0 ], [ 160.0,50.0 ], [ 160.0,25.0 ], [ 130.0,25.0 ] ] ] } } ] }","volume":"171","issue":"12","noUsgsAuthors":false,"publicationDate":"2014-04-19","publicationStatus":"PW","scienceBaseUri":"538052c8e4b0826cd50169fa","contributors":{"authors":[{"text":"Yong, Wei","contributorId":19083,"corporation":false,"usgs":true,"family":"Yong","given":"Wei","email":"","affiliations":[],"preferred":false,"id":494033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newman, Andrew V.","contributorId":32664,"corporation":false,"usgs":true,"family":"Newman","given":"Andrew","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":494034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Gavin P. 0000-0003-3323-0112","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":6157,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":494032,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Titov, Vasily V.","contributorId":67312,"corporation":false,"usgs":true,"family":"Titov","given":"Vasily","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":494036,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tang, Liujuan","contributorId":34045,"corporation":false,"usgs":true,"family":"Tang","given":"Liujuan","email":"","affiliations":[],"preferred":false,"id":494035,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70110389,"text":"70110389 - 2014 - Tsunami vertical-evacuation planning in the U.S. Pacific Northwest as a geospatial, multi-criteria decision problem","interactions":[],"lastModifiedDate":"2014-05-23T14:33:55","indexId":"70110389","displayToPublicDate":"2014-05-23T14:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2036,"text":"International Journal of Disaster Risk Reduction","active":true,"publicationSubtype":{"id":10}},"title":"Tsunami vertical-evacuation planning in the U.S. Pacific Northwest as a geospatial, multi-criteria decision problem","docAbstract":"Tsunami vertical-evacuation (TVE) refuges can be effective risk-reduction options for coastal communities with local tsunami threats but no accessible high ground for evacuations. Deciding where to locate TVE refuges is a complex risk-management question, given the potential for conflicting stakeholder priorities and multiple, suitable sites. We use the coastal community of Ocean Shores (Washington, USA) and the local tsunami threat posed by Cascadia subduction zone earthquakes as a case study to explore the use of geospatial, multi-criteria decision analysis for framing the locational problem of TVE siting. We demonstrate a mixed-methods approach that uses potential TVE sites identified at community workshops, geospatial analysis to model changes in pedestrian evacuation times for TVE options, and statistical analysis to develop metrics for comparing population tradeoffs and to examine influences in decision making. Results demonstrate that no one TVE site can save all at-risk individuals in the community and each site provides varying benefits to residents, employees, customers at local stores, tourists at public venues, children at schools, and other vulnerable populations. The benefit of some proposed sites varies depending on whether or not nearby bridges will be functioning after the preceding earthquake. Relative rankings of the TVE sites are fairly stable under various criteria-weighting scenarios but do vary considerably when comparing strategies to exclusively protect tourists or residents. The proposed geospatial framework can serve as an analytical foundation for future TVE siting discussions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Disaster Risk Reduction","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ijdrr.2014.04.009","usgsCitation":"Wood, N., Jones, J., Schelling, J., and Schmidtlein, M., 2014, Tsunami vertical-evacuation planning in the U.S. Pacific Northwest as a geospatial, multi-criteria decision problem: International Journal of Disaster Risk Reduction, v. 9, p. 68-83, https://doi.org/10.1016/j.ijdrr.2014.04.009.","productDescription":"16 p.","startPage":"68","endPage":"83","numberOfPages":"16","ipdsId":"IP-053479","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":472981,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijdrr.2014.04.009","text":"Publisher Index Page"},{"id":287570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287561,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ijdrr.2014.04.009"}],"country":"United States","state":"Washington","county":"Grays Harbor County","city":"Ocean Shores","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.180178,46.926625 ], [ -124.180178,47.045563 ], [ -124.097997,47.045563 ], [ -124.097997,46.926625 ], [ -124.180178,46.926625 ] ] ] } } ] }","volume":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"538052c8e4b0826cd50169fe","contributors":{"authors":[{"text":"Wood, Nathan 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":71151,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":494054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Jeanne","contributorId":50444,"corporation":false,"usgs":true,"family":"Jones","given":"Jeanne","affiliations":[],"preferred":false,"id":494053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schelling, John","contributorId":49707,"corporation":false,"usgs":true,"family":"Schelling","given":"John","email":"","affiliations":[],"preferred":false,"id":494052,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmidtlein, Mathew","contributorId":31682,"corporation":false,"usgs":true,"family":"Schmidtlein","given":"Mathew","affiliations":[],"preferred":false,"id":494051,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70103371,"text":"sir20145079 - 2014 - Development of flood-inundation maps for the Mississippi River in Saint Paul, Minnesota","interactions":[],"lastModifiedDate":"2014-05-23T14:26:24","indexId":"sir20145079","displayToPublicDate":"2014-05-23T14:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5079","title":"Development of flood-inundation maps for the Mississippi River in Saint Paul, Minnesota","docAbstract":"<p>Digital flood-inundation maps for a 6.3-mile reach of the Mississippi River in Saint Paul, Minnesota, were developed through a multi-agency effort by the U.S. Geological Survey in cooperation with the U.S. Army Corps of Engineers and in collaboration with the National Weather Service. The inundation maps, which can be accessed through the U.S. Geological Survey Flood Inundation Mapping Science Web site at <a href=\"http://water.usgs.gov/osw/flood_inundation/\" target=\"_blank\">http://water.usgs.gov/osw/flood_inundation/</a> and the National Weather Service Advanced Hydrologic Prediction Service site at <a href=\"http://water.weather.gov/ahps/inundation.php\" target=\"_blank\">http://water.weather.gov/ahps/inundation.php</a>, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the U.S. Geological Survey streamgage at the Mississippi River at Saint Paul (05331000). The National Weather Service forecasted peak-stage information at the streamgage may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.</p>\n<br/>\n<p>In this study, flood profiles were computed for the Mississippi River by means of a one-dimensional step-backwater model. The hydraulic model was calibrated using the most recent stage-discharge relation at the Robert Street location (rating curve number 38.0) of the Mississippi River at Saint Paul (streamgage 05331000), as well as an approximate water-surface elevation-discharge relation at the Mississippi River at South Saint Paul (U.S. Army Corps of Engineers streamgage SSPM5). The model also was verified against observed high-water marks from the recent 2011 flood event and the water-surface profile from existing flood insurance studies. The hydraulic model was then used to determine 25 water-surface profiles for flood stages at 1-foot intervals ranging from approximately bankfull stage to greater than the highest recorded stage at streamgage 05331000. The simulated water-surface profiles were then combined with a geographic information system digital elevation model, derived from high-resolution topography data, to delineate potential areas flooded and to determine the water depths within the inundated areas for each stage at streamgage 05331000.</p>\n<br/>\n<p>The availability of these maps along with information regarding current stage at the U.S. Geological Survey streamgage and forecasted stages from the National Weather Service provides enhanced flood warning and visualization of the potential effects of a forecasted flood for the city of Saint Paul and its residents. The maps also can aid in emergency management planning and response activities, such as evacuations and road closures, as well as for post-flood recovery efforts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145079","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Czuba, C.R., Fallon, J.D., Lewis, C.R., and Cooper, D.F., 2014, Development of flood-inundation maps for the Mississippi River in Saint Paul, Minnesota: U.S. Geological Survey Scientific Investigations Report 2014-5079, Report: vii, 24 p.; Downloads Directory, https://doi.org/10.3133/sir20145079.","productDescription":"Report: vii, 24 p.; Downloads Directory","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-045357","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":287569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145079.jpg"},{"id":287564,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5079/"},{"id":287568,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5079/downloads/"},{"id":287567,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5079/pdf/sir2014-5079.pdf"}],"projection":"Web Mercator (Auxiliary Sphere) projection","datum":"World Geodectic System 1984","country":"United States","state":"Minnesota","city":"Saint Paul","otherGeospatial":"Mississippi River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.15028,44.904788 ], [ -93.15028,44.97016 ], [ -92.999857,44.97016 ], [ -92.999857,44.904788 ], [ -93.15028,44.904788 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"538051c6e4b0826cd50164ad","contributors":{"authors":[{"text":"Czuba, Christiana R. cczuba@usgs.gov","contributorId":4555,"corporation":false,"usgs":true,"family":"Czuba","given":"Christiana","email":"cczuba@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":493277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fallon, James D. jfallon@usgs.gov","contributorId":3417,"corporation":false,"usgs":true,"family":"Fallon","given":"James","email":"jfallon@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":493276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lewis, Corby R.","contributorId":25082,"corporation":false,"usgs":true,"family":"Lewis","given":"Corby","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":493279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cooper, Diane F.","contributorId":11952,"corporation":false,"usgs":true,"family":"Cooper","given":"Diane","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":493278,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70108943,"text":"70108943 - 2014 - Assessing climate-change risks to cultural and natural resources in the Yakima River Basin, Washington, USA","interactions":[],"lastModifiedDate":"2014-05-23T14:13:21","indexId":"70108943","displayToPublicDate":"2014-05-23T13:48:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Assessing climate-change risks to cultural and natural resources in the Yakima River Basin, Washington, USA","docAbstract":"We provide an overview of an interdisciplinary special issue that examines the influence of climate change on people and fish in the Yakima River Basin, USA. Jenni et al. (2013) addresses stakeholder-relevant climate change issues, such as water availability and uncertainty, with decision analysis tools. Montag et al. (2014) explores Yakama Tribal cultural values and well-being and their incorporation into the decision-making process. Graves and Maule (2012) simulates effects of climate change on stream temperatures under baseline conditions (1981–2005) and two future climate scenarios (increased air temperature of 1 °C and 2 °C). Hardiman and Mesa (2013) looks at the effects of increased stream temperatures on juvenile steelhead growth with a bioenergetics model. Finally, Hatten et al. (2013) examines how changes in stream flow will affect salmonids with a rule-based fish habitat model. Our simulations indicate that future summer will be a very challenging season for salmonids when low flows and high water temperatures can restrict movement, inhibit or alter growth, and decrease habitat. While some of our simulations indicate salmonids may benefit from warmer water temperatures and increased winter flows, the majority of simulations produced less habitat. The floodplain and tributary habitats we sampled are representative of the larger landscape, so it is likely that climate change will reduce salmonid habitat potential throughout particular areas of the basin. Management strategies are needed to minimize potential salmonid habitat bottlenecks that may result from climate change, such as keeping streams cool through riparian protection, stream restoration, and the reduction of water diversions. An investment in decision analysis and support technologies can help managers understand tradeoffs under different climate scenarios and possibly improve water and fish conservation over the next century.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climatic Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10584-014-1126-z","usgsCitation":"Hatten, J.R., Waste, S., and Maule, A.G., 2014, Assessing climate-change risks to cultural and natural resources in the Yakima River Basin, Washington, USA: Climatic Change, v. 124, no. 1-2, p. 363-370, https://doi.org/10.1007/s10584-014-1126-z.","productDescription":"8 p.","startPage":"363","endPage":"370","numberOfPages":"8","ipdsId":"IP-055186","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":472982,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-014-1126-z","text":"Publisher Index Page"},{"id":287563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287547,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-014-1126-z"}],"country":"United States","state":"Washington","otherGeospatial":"Yakima River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.5,46.25 ], [ -121.5,47.50 ], [ -119.25,47.50 ], [ -119.25,46.25 ], [ -121.5,46.25 ] ] ] } } ] }","volume":"124","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2014-04-29","publicationStatus":"PW","scienceBaseUri":"53805198e4b0826cd50163e0","contributors":{"authors":[{"text":"Hatten, James R. 0000-0003-4676-8093 jhatten@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-8093","contributorId":3431,"corporation":false,"usgs":true,"family":"Hatten","given":"James","email":"jhatten@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":494030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waste, Stephen M. swaste@usgs.gov","contributorId":3837,"corporation":false,"usgs":true,"family":"Waste","given":"Stephen M.","email":"swaste@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":494031,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maule, Alec G. amaule@usgs.gov","contributorId":2606,"corporation":false,"usgs":true,"family":"Maule","given":"Alec","email":"amaule@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":494029,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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