{"pageNumber":"1006","pageRowStart":"25125","pageSize":"25","recordCount":165505,"records":[{"id":70181022,"text":"70181022 - 2016 - Space use and habitat selection by resident and transient red wolves (<i>Canis rufus</i>)","interactions":[],"lastModifiedDate":"2017-02-11T15:58:46","indexId":"70181022","displayToPublicDate":"2016-12-21T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Space use and habitat selection by resident and transient red wolves (<i>Canis rufus</i>)","docAbstract":"<div class=\"abstract toc-section\"><p>Recovery of large carnivores remains a challenge because complex spatial dynamics that facilitate population persistence are poorly understood. In particular, recovery of the critically endangered red wolf (<i>Canis rufus</i>) has been challenging because of its vulnerability to extinction via human-caused mortality and hybridization with coyotes (<i>Canis latrans</i>). Therefore, understanding red wolf space use and habitat selection is important to assist recovery because key aspects of wolf ecology such as interspecific competition, foraging, and habitat selection are well-known to influence population dynamics and persistence. During 2009–2011, we used global positioning system (GPS) radio-telemetry to quantify space use and 3<sup>rd</sup>-order habitat selection for resident and transient red wolves on the Albemarle Peninsula of eastern North Carolina. The Albemarle Peninsula was a predominantly agricultural landscape in which red wolves maintained spatially stable home ranges that varied between 25 km<sup>2</sup> and 190 km<sup>2</sup>. Conversely, transient red wolves did not maintain home ranges and traversed areas between 122 km<sup>2</sup> and 681 km<sup>2</sup>. Space use by transient red wolves was not spatially stable and exhibited shifting patterns until residency was achieved by individual wolves. Habitat selection was similar between resident and transient red wolves in which agricultural habitats were selected over forested habitats. However, transients showed stronger selection for edges and roads than resident red wolves. Behaviors of transient wolves are rarely reported in studies of space use and habitat selection because of technological limitations to observed extensive space use and because they do not contribute reproductively to populations. Transients in our study comprised displaced red wolves and younger dispersers that competed for limited space and mating opportunities. Therefore, our results suggest that transiency is likely an important life-history strategy for red wolves that facilitates metapopulation dynamics through short- and long-distance movements and eventual replacement of breeding residents lost to mortality.</p></div><div id=\"figure-carousel-section\"><br data-mce-bogus=\"1\"></div>","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0167603","usgsCitation":"Hinton, J.W., Proctor, C., Kelly, M.J., van Manen, F.T., Vaughan, M.R., and Chamberlain, M.J., 2016, Space use and habitat selection by resident and transient red wolves (<i>Canis rufus</i>): PLoS ONE, v. 11, no. 12, e0167603; 17 p., https://doi.org/10.1371/journal.pone.0167603.","productDescription":"e0167603; 17 p.","ipdsId":"IP-078762","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":470316,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0167603","text":"Publisher Index Page"},{"id":335165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Albemarle Peninsula ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.82763671875,\n              36.00467348670187\n            ],\n            [\n              -75.7781982421875,\n              35.951329861522666\n            ],\n            [\n              -75.7232666015625,\n              35.88459964717596\n            ],\n            [\n              -75.673828125,\n              35.77325759103725\n            ],\n            [\n              -75.706787109375,\n              35.61711648382185\n 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Christine","contributorId":179347,"corporation":false,"usgs":false,"family":"Proctor","given":"Christine","email":"","affiliations":[],"preferred":false,"id":663337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, Marcella J.","contributorId":179348,"corporation":false,"usgs":false,"family":"Kelly","given":"Marcella","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":663338,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":663335,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vaughan, Michael R.","contributorId":179349,"corporation":false,"usgs":false,"family":"Vaughan","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":663339,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chamberlain, Michael J.","contributorId":179350,"corporation":false,"usgs":false,"family":"Chamberlain","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":663340,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70178811,"text":"sir20165170 - 2016 - Ambient water quality in aquifers used for drinking-water supplies, Gem County, southwestern Idaho, 2015","interactions":[],"lastModifiedDate":"2016-12-21T09:46:40","indexId":"sir20165170","displayToPublicDate":"2016-12-20T18:00:00","publicationYear":"2016","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":"2016-5170","title":"Ambient water quality in aquifers used for drinking-water supplies, Gem County, southwestern Idaho, 2015","docAbstract":"<p>In recent years, the rapid population growth in Gem County, Idaho, has been similar to other counties in southwestern Idaho, increasing about 54 percent from 1990 to 2015. Because the entire population of the study area depends on groundwater for drinking water supply (either from self-supplied domestic, community, or municipal-supply wells), this population growth, along with changes in land use (including potential petroleum exploration and development), indicated to the public and local officials the need to assess the quality of groundwater used for human consumption. To this end, the U.S. Geological Survey, in cooperation with Gem County and the Idaho Department of Environmental Quality, assessed the quality of groundwater from freshwater aquifers used for domestic supply in Gem County. A total of 47 domestic or municipal wells, 1 spring, and 2 surface-water sites on the Payette River were sampled during September 8–November 19, 2015. The sampled water was analyzed for a variety of constituents, including major ions, trace elements, nutrients, bacteria, radionuclides, dissolved gasses, stable isotopes of water and methane, and either volatile organic compounds (VOCs) or pesticides.</p><p>To better understand analytical results, a conceptual hydrogeologic framework was developed in which three hydrogeologic units were described: Quaternary-Tertiary deposits (QTd), Tertiary Idaho Group rocks (Tig), and Tertiary-Cretaceous igneous rocks (TKi). Water levels were measured in 30 wells during sampling, and a groundwater-level altitude map was constructed for the QTd and Tig units showing groundwater flow toward the Emmett Valley and Payette River.</p><p>Analytical results indicate that groundwater in Gem County is generally of good quality. Samples collected from two wells contained water with fluoride concentrations greater than the U.S. Environmental Protection Agency (EPA) Maximum Contaminant Level (MCL) of 4 milligrams per liter (mg/L), six wells contained arsenic at concentrations greater than the EPA MCL of 10 micrograms per liter, and a sample from one well exceeded the MCL of 15 picocuries per liter for alpha particles. Although previous samples collected from some wells in Gem County contained nitrate concentrations greater than the MCL of 10 mg/L, the largest concentration detected in the current study was 5.2 mg/L. Total coliform bacteria was detected in four groundwater samples.</p><p>Three volatile organic compounds (VOCs) were detected in samples collected from five wells, and five compounds of the triazine class of herbicides were detected in samples from five wells; no concentrations were greater than applicable EPA MCLs. Methane was detected in samples from 36 wells, with the concentration in 1 well large enough to be considered an explosion hazard by U.S. Office of Surface Mining guidelines. Stable isotope signatures of methane in six samples suggest that naturally occurring methane in Gem County is probably of both thermogenic and biogenic origin.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165170","collaboration":"Prepared in cooperation with Gem County, Idaho, and the Idaho Department of Environmental Quality","usgsCitation":"Bartolino, J.R., and Hopkins, C.B., 2016, Ambient water quality in aquifers used for drinking-water supplies, Gem County, southwestern Idaho, 2015: U.S. Geological Survey Scientific Investigations Report 2016–5170, 33 p.,\nhttps://doi.org/10.3133/sir20165170.","productDescription":"Report: v, 33 p.; Appendix A","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-064719","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":332304,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5170/sir20165170.pdf","text":"Report","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5170 Report PDF"},{"id":332305,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5170/sir20165170_appendixa.xlsx","text":"Appendix A","size":"118 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016-5170 Appendix A"},{"id":332303,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5170/coverthb.jpg"}],"country":"United States","state":"Idaho","county":"Gem County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-116.1583,44.5002],[-116.1513,44.5002],[-116.1529,44.4122],[-116.1534,44.3251],[-116.2141,44.3253],[-116.2132,44.2387],[-116.2133,44.194],[-116.2142,44.1521],[-116.2327,44.1523],[-116.255,44.1529],[-116.2754,44.1531],[-116.2751,44.0952],[-116.2741,44.0802],[-116.2744,44.0674],[-116.2736,44.0364],[-116.2725,43.9954],[-116.2722,43.9822],[-116.2735,43.9098],[-116.2737,43.8947],[-116.2756,43.8227],[-116.2759,43.8077],[-116.286,43.808],[-116.4357,43.8087],[-116.4744,43.8085],[-116.5113,43.8071],[-116.7113,43.8072],[-116.7112,43.8385],[-116.7102,43.8677],[-116.7107,43.8827],[-116.7105,43.8968],[-116.7121,43.9834],[-116.6529,43.983],[-116.6339,43.9828],[-116.6116,43.9832],[-116.5926,43.9835],[-116.5729,43.9833],[-116.5726,43.9956],[-116.573,44.0093],[-116.5533,44.0092],[-116.5342,44.009],[-116.5347,44.024],[-116.5338,44.0382],[-116.5336,44.0532],[-116.534,44.066],[-116.5124,44.0654],[-116.4926,44.0652],[-116.4532,44.0658],[-116.4493,44.1534],[-116.4111,44.153],[-116.3901,44.1533],[-116.3556,44.1529],[-116.3546,44.1834],[-116.3541,44.1903],[-116.3537,44.198],[-116.3539,44.2049],[-116.3458,44.2127],[-116.3435,44.221],[-116.3449,44.2269],[-116.3464,44.2341],[-116.3472,44.2405],[-116.3499,44.2469],[-116.345,44.2551],[-116.3435,44.2679],[-116.3444,44.2788],[-116.3466,44.2893],[-116.3462,44.2989],[-116.3419,44.3049],[-116.3454,44.3135],[-116.3455,44.319],[-116.3457,44.3249],[-116.342,44.3304],[-116.3383,44.3368],[-116.3341,44.3451],[-116.3324,44.3529],[-116.3377,44.3605],[-116.3366,44.366],[-116.3302,44.3679],[-116.3297,44.3734],[-116.3267,44.3808],[-116.3276,44.3894],[-116.3251,44.3922],[-116.324,44.3968],[-116.3204,44.4087],[-116.312,44.4261],[-116.3009,44.4445],[-116.2927,44.4496],[-116.2878,44.4552],[-116.2776,44.4585],[-116.2674,44.4609],[-116.2592,44.4647],[-116.2522,44.4652],[-116.2451,44.4635],[-116.2387,44.4654],[-116.235,44.4709],[-116.2309,44.4828],[-116.2285,44.4892],[-116.2235,44.4957],[-116.2211,44.5016],[-116.2174,44.5067],[-116.2091,44.5073],[-116.1935,44.4974],[-116.1857,44.4957],[-116.1583,44.5002]]]},\"properties\":{\"name\":\"Gem\",\"state\":\"ID\"}}]}","contact":"<p>Director, Idaho Water Science Center<br>U.S. Geological Survey<br>230 Collins Road<br>Boise, Idaho 83702<br><a href=\"http://id.water.usgs.gov\" data-mce-href=\"http://id.water.usgs.gov\">http://id.water.usgs.gov</a><br></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Description of Study Area<br></li><li>Previous Work<br></li><li>Study Methods<br></li><li>Hydrogeology<br></li><li>Ambient Water Quality<br></li><li>Additional Needs for Groundwater-Quality Monitoring<br></li><li>Summary and Conclusions<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendix A. Water-Quality Data<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-12-20","noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"585a51a6e4b01224f329b5d7","contributors":{"authors":[{"text":"Bartolino, James R. 0000-0002-2166-7803 jrbartol@usgs.gov","orcid":"https://orcid.org/0000-0002-2166-7803","contributorId":2548,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"jrbartol@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hopkins, Candice B. 0000-0003-3207-7267 chopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-3207-7267","contributorId":1379,"corporation":false,"usgs":true,"family":"Hopkins","given":"Candice","email":"chopkins@usgs.gov","middleInitial":"B.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655177,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179101,"text":"sir20165174 - 2016 - Suspended-sediment concentrations, bedload, particle sizes, surrogate measurements, and annual sediment loads for selected sites in the lower Minnesota River Basin, water years 2011 through 2016","interactions":[],"lastModifiedDate":"2016-12-21T09:36:48","indexId":"sir20165174","displayToPublicDate":"2016-12-20T00:00:00","publicationYear":"2016","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":"2016-5174","title":"Suspended-sediment concentrations, bedload, particle sizes, surrogate measurements, and annual sediment loads for selected sites in the lower Minnesota River Basin, water years 2011 through 2016","docAbstract":"<p>Accurate measurements of fluvial sediment are important for assessing stream ecological health, calculating flood levels, computing sediment budgets, and managing and protecting water resources. Sediment-enriched rivers in Minnesota are a concern among Federal, State, and local governments because turbidity and sediment-laden waters are the leading impairments and affect more than 6,000 miles of rivers in Minnesota. The suspended sediment in the lower Minnesota River is deleterious, contributing about 75 to 90 percent of the suspended sediment being deposited into Lake Pepin. The Saint Paul District of the U.S. Army Corps of Engineers and the Lower Minnesota River Watershed District collaborate to maintain a navigation channel on the lower 14.7 miles of the Minnesota River through scheduled dredging operations. The Minnesota Pollution Control Agency has adopted a sediment-reduction strategy to reduce sediment in the Minnesota River by 90 percent by 2040.</p><p>The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, the Minnesota Pollution Control Agency, and the Lower Minnesota River Watershed District, collected suspended-sediment, bedload, and particle-size samples at five sites in the lower Minnesota River Basin during water years 2011 through 2014 and surrogate measurements of acoustic backscatter at one of these sites on the lower Minnesota River during water years 2012 through 2016 to quantify sediment loads and improve understanding of sediment-transport relations. Annual sediment loads were computed for calendar years 2011 through 2014.</p><p>Data collected from water years 2011 through 2014 indicated that two tributaries, Le Sueur River and High Island Creek, had the highest sediment yield and concentrations of suspended sediment. These tributaries also had greater stream gradients than the sites on the Minnesota River. Suspended fines were greater than suspended sand at all sites in the study area. The range of median particle sizes matched the range for stream gradients from greatest to smallest. Bedload ranged from 3 to 20 percent of the total load at the Le Sueur River, Minnesota River at Mankato, and High Island Creek and was less than 1 percent of the total load at the Minnesota River near Jordan and at Fort Snelling State Park. The reach of the Minnesota River between Mankato and Jordan is a major source of sediment, with the sediment yield at Jordan being two and a half times greater than at Mankato. Between Jordan and Fort Snelling, the sediment yield decreases substantially, which indicates that the Minnesota River in this reach is a sink for sediment. Surrogate measurements (acoustic backscatter) collected with suspended-sediment concentration data from water years 2012 through 2016 from the Minnesota River at Fort Snelling State Park indicated strong relations between the acoustic backscatter and suspended-sediment concentrations. These results point to the dynamic nature of sediment aggradation, degradation, and transport in the Minnesota River Basin. The analyses described in this report will improve the understanding of sediment-transport relations and sediment budgets in the Minnesota River Basin.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165174","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Minnesota Pollution Control Agency, and Lower Minnesota River Watershed District","usgsCitation":"Groten, J.T., Ellison, C.A., and Hendrickson, J.S., 2016, Suspended-sediment concentrations, bedload, particle sizes, surrogate measurements, and annual sediment loads for selected sites in the lower Minnesota River Basin, water years 2011 through 2016: U.S. Geological Survey Scientific Investigations Report 2016–5174, 29 p., https://doi.org/10.3133/sir20165174.","productDescription":"Report: viii, 29 p.; Appendix Tables","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-077057","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":332354,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5174/coverthb.jpg"},{"id":332355,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5174/sir20165174.pdf","text":"Report","size":"1.87 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5174"},{"id":332356,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5174/sir20165174_appendix_tables.xlsx","text":"Appendix Tables","size":"240 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5174 Appendix 1"}],"country":"United States","state":"Minnesota","otherGeospatial":"Minnesota River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.56732177734375,\n              43.97898113341921\n            ],\n            [\n              -95.56732177734375,\n              44.853921768268805\n            ],\n            [\n              -93.22723388671875,\n              44.853921768268805\n            ],\n            [\n              -93.22723388671875,\n              43.97898113341921\n            ],\n            [\n              -95.56732177734375,\n              43.97898113341921\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Minnesota Water Science Center<br>U.S. Geological Survey<br>2280 Woodale Drive<br>Mounds View, Minnesota 55112</p><p><a href=\"http://mn.water.usgs.gov/\" data-mce-href=\"http://mn.water.usgs.gov/\">http://mn.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Methods of Data Collection and Analysis<br></li><li>Streamflow, Suspended-Sediment Concentrations, Bedload, Particle Sizes, and Surrogate Measurements<br></li><li>Annual Sediment Loads<br></li><li>Summary and Conclusions<br></li><li>References Cited<br></li><li>Appendix 1<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-12-20","noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"585a51b9e4b01224f329b5df","contributors":{"authors":[{"text":"Groten, Joel T. jgroten@usgs.gov","contributorId":171771,"corporation":false,"usgs":true,"family":"Groten","given":"Joel T.","email":"jgroten@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":656049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellison, Christopher A. 0000-0002-5886-6654 cellison@usgs.gov","orcid":"https://orcid.org/0000-0002-5886-6654","contributorId":4891,"corporation":false,"usgs":true,"family":"Ellison","given":"Christopher","email":"cellison@usgs.gov","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":656050,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hendrickson, Jon S.","contributorId":177520,"corporation":false,"usgs":false,"family":"Hendrickson","given":"Jon","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":656051,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178693,"text":"ofr20161200 - 2016 - Concentration, flux, and trend estimates with uncertainty for nutrients, chloride, and total suspended solids in tributaries of Lake Champlain, 1990–2014","interactions":[],"lastModifiedDate":"2019-12-27T11:38:47","indexId":"ofr20161200","displayToPublicDate":"2016-12-20T00:00:00","publicationYear":"2016","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":"2016-1200","title":"Concentration, flux, and trend estimates with uncertainty for nutrients, chloride, and total suspended solids in tributaries of Lake Champlain, 1990–2014","docAbstract":"<p class=\"Default\"><span>The U.S. Geological Survey, in cooperation with the New England Interstate Water Pollution Control Commission and the Vermont Department of Environmental Conservation, estimated daily and 9-month concentrations and fluxes of total and dissolved phosphorus, total nitrogen, chloride, and total suspended solids from 1990 (or first available date) through 2014 for 18 tributaries of Lake Champlain. Estimates of concentration and flux, provided separately in Medalie (2016), were made by using the Weighted Regressions on Time, Discharge, and Season (WRTDS) regression model and update previously published WRTDS model results with recent data. Assessment of progress towards meeting phosphorus-reduction goals outlined in the Lake Champlain management plan relies on annual estimates of phosphorus flux. The percent change in annual concentration and flux is provided for two time periods. The R package EGRETci was used to estimate the uncertainty of the trend estimate. Differences in model specification and function between this study and previous studies that used WRTDS to estimate concentration and flux using data from Lake Champlain tributaries are described. </span></p><p class=\"Default\"><span>Winter data were too sparse and nonrepresentative to use for estimates of concentration and flux but were sufficient for estimating the percentage of total annual flux over the period of record. Median winter-to-annual fractions ranged between 21 percent for total suspended solids and 27 percent for dissolved phosphorus. The winter contribution was largest for all constituents from the Mettawee River and smallest from the Ausable River. </span></p><p class=\"Default\"><span>For the full record (1991 through 2014 for total and dissolved phosphorus and chloride and 1993 through 2014 for nitrogen and total suspended solids), 6 tributaries had decreasing trends in concentrations of total phosphorus, and 12 had increasing trends; concentrations of dissolved phosphorus decreased in 6 and increased in 8 tributaries; fluxes of total phosphorus decreased in 5 and increased in 10 tributaries; and fluxes of dissolved phosphorus decreased in 4 and increased in 10 tributaries (where the number of increasing and decreasing trends does not add up to 18, the remainder of tributaries had no trends). Concentrations and fluxes of nitrogen decreased in 10 and increased in 4 tributaries and of chloride decreased in 2 and increased in 15 tributaries. Concentrations of total suspended solids decreased in 4 and increased in 8 tributaries, and fluxes of total suspended solids decreased in 3 and increased in 11 tributaries. </span></p><p class=\"Default\"><span>Although time intervals for the percent changes from this report are not completely synchronous with those from previous studies, the numbers of and specific tributaries with overall negative percent changes in concentration and flux are similar. Concentration estimates of total phosphorus in the Winooski River were used to trace whether changes in trends between a previous study and the current study were due generally to differences in model specifications or differences from 4 years of additional data. The Winooski River analysis illustrates several things: that keeping all model specifications equal, concentration estimates increased from 2010 to 2014; the effects of a smoothing algorithm used in the current study that was not available previously; that narrowing model half-window widths increased year-to-year variations; and that the change from an annual to a 9-month basis by omitting winter estimates changed a few individual points but not the overall shape of the flow-normalized curve. Similar tests for other tributaries showed that the primary effect of differences in model specifications between the previous and current studies was perhaps to increase scatter over time but that changes in trends generally were the result of 4 years of additional data rather than artifacts of model differences.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161200","collaboration":"Prepared in cooperation with the New England Interstate Water Pollution Control Commission and the Vermont Department of Environmental Conservation","usgsCitation":"Medalie, Laura, 2016, Concentration, flux, and trend estimates with uncertainty for nutrients, chloride, and total suspended solids in tributaries of Lake Champlain, 1990–2014: U.S. Geological Survey Open-File Report 2016–1200, 22 p., https://doi.org/10.3133/ofr20161200.","productDescription":"Report: iv, 22 p.; Data Release","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-076110","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":438482,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7RN360M","text":"USGS data release","linkHelpText":"Estimates of annual and daily concentration and flux of nutrients, chloride, and suspended sediment in tributaries of Lake Champlain, 1990 through 2014"},{"id":332328,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7RN360M","text":"USGS data release - Estimates of annual and daily concentration and flux of nutrients, chloride, and total suspended solids in tributaries of Lake Champlain, 1990 through 2014","description":"Usgs Data Release"},{"id":332327,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1200/ofr20161200.pdf","text":"Report","size":"858 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1200"},{"id":332326,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1200/coverthb.jpg"}],"country":"United States","state":"New York, Vermont","otherGeospatial":"Lake Champlain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.597412109375,\n              44.01454613545038\n            ],\n            [\n              -73.00140380859375,\n              44.01454613545038\n            ],\n            [\n              -73.00140380859375,\n              45.00365115687186\n            ],\n            [\n              -73.597412109375,\n              45.00365115687186\n            ],\n            [\n              -73.597412109375,\n              44.01454613545038\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, New England Water Science Center<br>U.S. Geological Survey<br>331 Commerce Way &nbsp;<br>Pembroke, NH 03275</p><p><a href=\"http://newengland.water.usgs.gov\" data-mce-href=\"http://newengland.water.usgs.gov\">http://newengland.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods of Data Analysis</li><li>Concentrations and Fluxes</li><li>Trends in Concentration and Flux</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2016-12-20","noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"585a51bbe4b01224f329b5e1","contributors":{"authors":[{"text":"Medalie, Laura 0000-0002-2440-2149 lmedalie@usgs.gov","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":3657,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","email":"lmedalie@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654829,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70179147,"text":"70179147 - 2016 - Active season microhabitat and vegetation selection by giant gartersnakes associated with a restored marsh in California","interactions":[],"lastModifiedDate":"2017-02-14T13:07:36","indexId":"70179147","displayToPublicDate":"2016-12-20T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Active season microhabitat and vegetation selection by giant gartersnakes associated with a restored marsh in California","docAbstract":"<p><span>Studies of habitat selection can reveal important patterns to guide habitat restoration and management for species of conservation concern. Giant gartersnakes </span><i>Thamnophis gigas</i><span> are endemic to the Central Valley of California, where &gt;90% of their historical wetland habitat has been converted to agricultural and other uses. Information about the selection of habitats by individual giant gartersnakes would guide habitat restoration by indicating which habitat features and vegetation types are likely to be selected by these rare snakes. We examined activity patterns and selection of microhabitats and vegetation types by adult female giant gartersnakes with radiotelemetry at a site composed of rice agriculture and restored wetlands using a paired case-control study design. Adult female giant gartersnakes were 14.7 (95% credible interval [CRI] = 9.4–23.7) times more likely to be active (foraging, mating, or moving) when located in aquatic habitats than when located in terrestrial habitats. Microhabitats associated with cover—particularly emergent vegetation, terrestrial vegetation, and litter—were positively selected by giant gartersnakes. Individual giant gartersnakes varied greatly in their selection of rice and rock habitats, but varied little in their selection of open water. Tules </span><i><i>Schoenoplectus acutus</i></i><span> were the most strongly selected vegetation type, and duckweed </span><i><i>Lemna</i></i><span> spp., water-primrose </span><i><i>Ludwigia</i></i><span> spp., forbs, and grasses also were positively selected at the levels of availability observed at our study site. Management practices that promote the interface of water with emergent aquatic and herbaceous terrestrial vegetation will likely benefit giant gartersnakes. Given their strong selection of tules, restoration of native tule marshes will likely provide the greatest benefit to these threatened aquatic snakes.</span></p>","language":"English","publisher":"Scientific Journals","doi":"10.3996/042016-JFWM-029","usgsCitation":"Halstead, B., Valcarcel, P., Wylie, G.D., Coates, P.S., Casazza, M.L., and Rosenberg, D.K., 2016, Active season microhabitat and vegetation selection by giant gartersnakes associated with a restored marsh in California: Journal of Fish and Wildlife Management, v. 7, no. 2, p. 397-407, https://doi.org/10.3996/042016-JFWM-029.","productDescription":"11 p.","startPage":"397","endPage":"407","ipdsId":"IP-054874","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488587,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/042016-jfwm-029","text":"Publisher Index Page"},{"id":438481,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7QF8R0R","text":"USGS data release","linkHelpText":"Microhabitat and Vegetation Selection by Giant Gartersnakes Associated with a Restored Marsh in California"},{"id":332349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335351,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7QF8R0R","text":"Microhabitat and vegetation selection by giant gartersnakes associated with a restored marsh in California"}],"country":"United States","state":"California","volume":"7","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-01","publicationStatus":"PW","scienceBaseUri":"585a51a9e4b01224f329b5dd","contributors":{"authors":[{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":656189,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valcarcel, Patricia","contributorId":177543,"corporation":false,"usgs":false,"family":"Valcarcel","given":"Patricia","email":"","affiliations":[],"preferred":false,"id":656193,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Glenn D. 0000-0002-7061-6658 glenn_wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7061-6658","contributorId":3052,"corporation":false,"usgs":true,"family":"Wylie","given":"Glenn","email":"glenn_wylie@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":656190,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":656191,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":656192,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosenberg, Daniel K.","contributorId":177550,"corporation":false,"usgs":false,"family":"Rosenberg","given":"Daniel","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":656194,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70179151,"text":"70179151 - 2016 - Twitter predicts citation rates of ecological research","interactions":[],"lastModifiedDate":"2018-04-24T12:21:07","indexId":"70179151","displayToPublicDate":"2016-12-20T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Twitter predicts citation rates of ecological research","docAbstract":"<p><span>The relationship between traditional metrics of research impact (e.g., number of citations) and alternative metrics (</span><i>altmetrics</i><span>) such as Twitter activity are of great interest, but remain imprecisely quantified. We used generalized linear mixed modeling to estimate the relative effects of Twitter activity, journal impact factor, and time since publication on Web of Science citation rates of 1,599 primary research articles from 20 ecology journals published from 2012–2014. We found a strong positive relationship between Twitter activity (i.e., the number of unique tweets about an article) and number of citations. Twitter activity was a more important predictor of citation rates than 5-year journal impact factor. Moreover, Twitter activity was not driven by journal impact factor; the ‘highest-impact’ journals were not necessarily the most discussed online. The effect of Twitter activity was only about a fifth as strong as time since publication; accounting for this confounding factor was critical for estimating the true effects of Twitter use. Articles in impactful journals can become heavily cited, but articles in journals with lower impact factors can generate considerable Twitter activity and also become heavily cited. Authors may benefit from establishing a strong social media presence, but should not expect research to become highly cited solely through social media promotion. Our research demonstrates that altmetrics and traditional metrics can be closely related, but not identical. We suggest that both altmetrics and traditional citation rates can be useful metrics of research impact.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0166570","usgsCitation":"Peoples, B.K., Midway, S.R., Sackett, D.K., Lynch, A., and Cooney, P.B., 2016, Twitter predicts citation rates of ecological research: PLoS ONE, v. 11, no. 11, e0166570; 11 p., https://doi.org/10.1371/journal.pone.0166570.","productDescription":"e0166570; 11 p.","ipdsId":"IP-077000","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":461995,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0166570","text":"Publisher Index Page"},{"id":332343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-11","publicationStatus":"PW","scienceBaseUri":"585a51a9e4b01224f329b5db","contributors":{"authors":[{"text":"Peoples, Brandon K.","contributorId":177551,"corporation":false,"usgs":false,"family":"Peoples","given":"Brandon","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":656197,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Midway, Stephen R.","contributorId":172159,"corporation":false,"usgs":false,"family":"Midway","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":656198,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sackett, Dana K.","contributorId":141232,"corporation":false,"usgs":false,"family":"Sackett","given":"Dana","email":"","middleInitial":"K.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":656199,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lynch, Abigail 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":169460,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":656196,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooney, Patrick B.","contributorId":141249,"corporation":false,"usgs":false,"family":"Cooney","given":"Patrick","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":656200,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179179,"text":"70179179 - 2016 - Migratory-stage sea lamprey <i>Petromyzon marinus</i> stop responding to conspecific damage-released alarm cues after 4 h of continuous exposure in laboratory conditions","interactions":[],"lastModifiedDate":"2017-04-24T14:41:27","indexId":"70179179","displayToPublicDate":"2016-12-20T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Migratory-stage sea lamprey <i>Petromyzon marinus</i> stop responding to conspecific damage-released alarm cues after 4 h of continuous exposure in laboratory conditions","docAbstract":"<p><span>This study investigated the length of avoidance response of migratory-stage sea lamprey </span><i>Petromyzon marinus</i><span> exposed continuously to conspecific damage-released alarm cues for varying lengths of time in laboratory stream channels. Ten replicate groups of </span><i>P. marinus</i><span>, separated by sex, were exposed to either deionized water control or to </span><i>P. marinus</i><span> extract for 0, 2 or 4 h continuously. </span><i>Petromyzon marinus</i><span> maintained their avoidance response to the conspecific damage-released alarm cue after continuous exposure to the alarm cue for 0 and 2 h but not 4 h. Beyond being one of the first studies in regards to sensory–olfactory adaptation–acclimation of fishes to alarm cues of any kind, these results have important implications for use of conspecific alarm cues in </span><i>P. marinus</i><span> control. For example, continuous application of conspecific alarm cue during the day, when </span><i>P. marinus</i><span> are inactive and hiding, may result in sensory adaptation to the odour by nightfall when they migrate upstream.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfb.13231","usgsCitation":"Imre, I., Di Rocco, R.T., McClure, H., Johnson, N., and Brown, G.E., 2016, Migratory-stage sea lamprey <i>Petromyzon marinus</i> stop responding to conspecific damage-released alarm cues after 4 h of continuous exposure in laboratory conditions: Journal of Fish Biology, v. 90, no. 4, p. 1297-1304, https://doi.org/10.1111/jfb.13231.","productDescription":"8 p.","startPage":"1297","endPage":"1304","ipdsId":"IP-079426","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":332346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"90","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-12","publicationStatus":"PW","scienceBaseUri":"585a51a8e4b01224f329b5d9","contributors":{"authors":[{"text":"Imre, Istvan","contributorId":150985,"corporation":false,"usgs":false,"family":"Imre","given":"Istvan","email":"","affiliations":[{"id":6585,"text":"Algoma University","active":true,"usgs":false}],"preferred":false,"id":656267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Di Rocco, Richard T.","contributorId":150984,"corporation":false,"usgs":false,"family":"Di Rocco","given":"Richard","email":"","middleInitial":"T.","affiliations":[{"id":6586,"text":"Concordia University","active":true,"usgs":false}],"preferred":false,"id":656268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McClure, Haley","contributorId":177583,"corporation":false,"usgs":false,"family":"McClure","given":"Haley","email":"","affiliations":[],"preferred":false,"id":656269,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":656266,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Grant E.","contributorId":173005,"corporation":false,"usgs":false,"family":"Brown","given":"Grant","email":"","middleInitial":"E.","affiliations":[{"id":6586,"text":"Concordia University","active":true,"usgs":false}],"preferred":false,"id":656270,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179045,"text":"ofr20161205 - 2016 - Preliminary peak stage and streamflow data at selected streamgaging stations in North Carolina and South Carolina for flooding following Hurricane Matthew, October 2016","interactions":[],"lastModifiedDate":"2017-01-09T10:25:48","indexId":"ofr20161205","displayToPublicDate":"2016-12-19T14:15:00","publicationYear":"2016","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":"2016-1205","title":"Preliminary peak stage and streamflow data at selected streamgaging stations in North Carolina and South Carolina for flooding following Hurricane Matthew, October 2016","docAbstract":"<p>The passage of Hurricane Matthew across the central and eastern regions of North Carolina and South Carolina during October 7–9, 2016, resulted in heavy rainfall that caused major flooding in parts of the eastern Piedmont in North Carolina and coastal regions of both States. Rainfall totals of 3 to 8 inches and 8 to more than 15 inches were widespread throughout the central and eastern regions, respectively. U.S. Geological Survey streamgages recorded peaks of record at 26 locations, including 11 sites with long-term periods of 30 or more years of record. A total of 44 additional locations had peak streamflows that ranked in the top 5 for the period of record. Additionally, among 23 U.S. Geological Survey streamgages within the affected basins in North Carolina where stage-only data are collected, new peak stages were recorded at 5 locations during the flooding. U.S. Geological Survey personnel made 102 streamflow measurements at 60 locations in both States to verify, update, or extend existing rating curves (which are used to determine stage-discharge relations) during the October 2016 flood event.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161205","usgsCitation":"Weaver, J.C., Feaster, T.D., and Robbins, J.C., 2016, Preliminary peak stage and streamflow data at selected streamgaging stations in North Carolina and South Carolina for flooding following Hurricane Matthew, October 2016:  U.S. Geological Survey Open-File Report 2016–1205, 38 p., https://doi.org/10.3133/ofr20161205.","productDescription":"v, 38 p.","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-081734","costCenters":[{"id":13634,"text":"South Atlantic Water Science 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Carolina\",\"nation\":\"USA  \"}}]}","contact":"<p><a href=\"mailto:dc_sc@usgs.gov\" data-mce-href=\"mailto:dc_sc@usgs.gov\">Director</a>, South Atlantic Water Science Center<br> U.S. Geological Survey <br> 720 Gracern Road<br> Stephenson Center, Suite 129 <br> Columbia, SC 29210<br> <a href=\"http://www.usgs.gov/water/southatlantic/\" data-mce-href=\"http://www.usgs.gov/water/southatlantic/\">http://www.usgs.gov/water/southatlantic/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>General Weather Conditions and Precipitation Causing the October 2016 Flooding</li><li>Methods Used to Collect Streamflow Data</li><li>Peak Streamflow and Stage</li><li>Comparison of the October 2016 Flood to Past Floods</li><li>Summary&nbsp;</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2016-12-19","noUsgsAuthors":false,"publicationDate":"2016-12-19","publicationStatus":"PW","scienceBaseUri":"58590005e4b03639a6025e1f","contributors":{"authors":[{"text":"Weaver, J. Curtis 0000-0001-7068-5445 jcweaver@usgs.gov","orcid":"https://orcid.org/0000-0001-7068-5445","contributorId":2229,"corporation":false,"usgs":true,"family":"Weaver","given":"J.","email":"jcweaver@usgs.gov","middleInitial":"Curtis","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":655863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":177452,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[],"preferred":false,"id":655865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robbins, Jeanne C. 0000-0001-7804-0764 jrobbins@usgs.gov","orcid":"https://orcid.org/0000-0001-7804-0764","contributorId":1586,"corporation":false,"usgs":true,"family":"Robbins","given":"Jeanne","email":"jrobbins@usgs.gov","middleInitial":"C.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655864,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179030,"text":"fs20163087 - 2016 - Science to support the understanding of Ohio's water resources, 2016-17","interactions":[],"lastModifiedDate":"2016-12-19T13:42:30","indexId":"fs20163087","displayToPublicDate":"2016-12-19T11:15:00","publicationYear":"2016","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":"2016-3087","title":"Science to support the understanding of Ohio's water resources, 2016-17","docAbstract":"<p>Ohio’s water resources support a complex web of human activities and nature—clean and abundant water is needed for drinking, recreation, farming, and industry, as well as for fish and wildlife needs. Although rainfall in normal years can support these activities and needs, occasional floods and droughts can disrupt streamflow, groundwater, water availability, water quality, recreation, and aquatic habitats. Ohio is bordered by the Ohio River and Lake Erie; it has over 44,000 miles of streams and more than 60,000 lakes and ponds (State of Ohio, 1994). Nearly all of the rural population obtains drinking water from groundwater sources. </p><p>The U.S. Geological Survey (USGS) works in cooperation with local, State, and other Federal agencies, as well as universities, to furnish decisionmakers, policy makers, USGS scientists, and the general public with reliable scientific information and tools to assist them in management, stewardship, and use of Ohio’s natural resources. The diversity of scientific expertise among USGS personnel enables them to carry out large- and small-scale multidisciplinary studies. The USGS is unique among government organizations because it has neither regulatory nor developmental authority—its sole product is impartial, credible, relevant, and timely scientific information, equally accessible and available to everyone. The USGS Ohio Water Science Center provides reliable hydrologic and water-related ecological information to aid in the understanding of the use and management of the Nation’s water resources, in general, and Ohio’s water resources, in particular. This fact sheet provides an overview of current (2016) or recently completed USGS studies and data activities pertaining to water resources in Ohio. More information regarding projects of the USGS Ohio Water Science Center is available at <a href=\"http://oh.water.usgs.gov/\" data-mce-href=\"http://oh.water.usgs.gov/\">http://oh.water.usgs.gov/</a>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163087","usgsCitation":"Shaffer, K.H., and Kula, S.P., 2016, Science to support the understanding of Ohio's water resources, 2016-17: U.S. Geological Survey Fact Sheet 2016–3087, 8 p., https://doi.org/10.3133/fs20163087.","productDescription":"8 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-079071","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":332076,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3087/fs20163087.pdf","text":"Report","size":"18.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 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 \"}}]}","contact":"<p><a href=\"mailto:dc_oh@usgs.gov\" data-mce-href=\"mailto:dc_oh@usgs.gov\">Director</a>, Ohio Water Science Center<br> 6460 Busch Blvd, Suite 100<br> Columbus, OH 43229<br> Phone (614) 430-7700<br> <a href=\"http://oh.water.usgs.gov/\" data-mce-href=\"http://oh.water.usgs.gov/\">http://oh.water.usgs.gov/</a></p>","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2016-12-19","noUsgsAuthors":false,"publicationDate":"2016-12-19","publicationStatus":"PW","scienceBaseUri":"58590006e4b03639a6025e21","contributors":{"compilers":[{"text":"Shaffer, Kimberly kshaffer@usgs.gov","contributorId":1589,"corporation":false,"usgs":true,"family":"Shaffer","given":"Kimberly","email":"kshaffer@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655829,"contributorType":{"id":3,"text":"Compilers"},"rank":1},{"text":"Kula, Stephanie P. spkula@usgs.gov","contributorId":4666,"corporation":false,"usgs":true,"family":"Kula","given":"Stephanie","email":"spkula@usgs.gov","middleInitial":"P.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655830,"contributorType":{"id":3,"text":"Compilers"},"rank":2}],"authors":[{"text":"Shaffer, Kimberly kshaffer@usgs.gov","contributorId":1589,"corporation":false,"usgs":true,"family":"Shaffer","given":"Kimberly","email":"kshaffer@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":656180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kula, Stephanie P. spkula@usgs.gov","contributorId":4666,"corporation":false,"usgs":true,"family":"Kula","given":"Stephanie","email":"spkula@usgs.gov","middleInitial":"P.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":656181,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179128,"text":"70179128 - 2016 - Temporal segmentation of animal trajectories informed by habitat use","interactions":[],"lastModifiedDate":"2017-07-19T15:20:15","indexId":"70179128","displayToPublicDate":"2016-12-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Temporal segmentation of animal trajectories informed by habitat use","docAbstract":"<p><span>Most animals live in seasonal environments and experience very different conditions throughout the year. Behavioral strategies like migration, hibernation, and a life cycle adapted to the local seasonality help to cope with fluctuations in environmental conditions. Thus, how an individual utilizes the environment depends both on the current availability of habitat and the behavioral prerequisites of the individual at that time. While the increasing availability and richness of animal movement data has facilitated the development of algorithms that classify behavior by movement geometry, changes in the environmental correlates of animal movement have so far not been exploited for a behavioral annotation. Here, we suggest a method that uses these changes in individual–environment associations to divide animal location data into segments of higher ecological coherence, which we term niche segmentation. We use time series of random forest models to evaluate the transferability of habitat use over time to cluster observational data accordingly. We show that our method is able to identify relevant changes in habitat use corresponding to both changes in the availability of habitat and how it was used using simulated data, and apply our method to a tracking data set of common teal (Anas crecca). The niche segmentation proved to be robust, and segmented habitat suitability outperformed models neglecting the temporal dynamics of habitat use. Overall, we show that it is possible to classify animal trajectories based on changes of habitat use similar to geometric segmentation algorithms. We conclude that such an environmentally informed classification of animal trajectories can provide new insights into an individuals' behavior and enables us to make sensible predictions of how suitable areas might be connected by movement in space and time.</span></p>","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1002/ecs2.1498","usgsCitation":"van Toor, M., Newman, S.H., Takekawa, J.Y., Wegmann, M., and Safi, K., 2016, Temporal segmentation of animal trajectories informed by habitat use: Ecosphere, v. 7, no. 10, e01498;16 p., https://doi.org/10.1002/ecs2.1498.","productDescription":"e01498;16 p.","ipdsId":"IP-066487","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470318,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1498","text":"Publisher Index Page"},{"id":332260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"10","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-20","publicationStatus":"PW","scienceBaseUri":"58590007e4b03639a6025e25","contributors":{"authors":[{"text":"van Toor, Marielle L.","contributorId":177537,"corporation":false,"usgs":false,"family":"van Toor","given":"Marielle L.","affiliations":[],"preferred":false,"id":656114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newman, Scott H.","contributorId":101372,"corporation":false,"usgs":true,"family":"Newman","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":656115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":656116,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wegmann, Martin","contributorId":177540,"corporation":false,"usgs":false,"family":"Wegmann","given":"Martin","email":"","affiliations":[],"preferred":false,"id":656117,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Safi, Kamran","contributorId":83036,"corporation":false,"usgs":true,"family":"Safi","given":"Kamran","affiliations":[],"preferred":false,"id":656118,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179119,"text":"70179119 - 2016 - GDGT and alkenone flux in the northern Gulf of Mexico: Implications for the TEX<sub>86</sub> and U<sup>K<sub>1</sub></sup><sub>37</sub> paleothermometers","interactions":[],"lastModifiedDate":"2017-02-14T13:14:47","indexId":"70179119","displayToPublicDate":"2016-12-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3002,"text":"Paleoceanography","active":true,"publicationSubtype":{"id":10}},"title":"GDGT and alkenone flux in the northern Gulf of Mexico: Implications for the TEX<sub>86</sub> and U<sup>K<sub>1</sub></sup><sub>37</sub> paleothermometers","docAbstract":"<p><span>The TEX</span><sub>86</sub><span> and </span><span class=\"math-equation-construct\" data-equation-construct=\"true\"><span class=\"math-equation-image\" data-equation-image=\"true\"><img class=\"inlineGraphic\" src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0007.png?v=1&amp;s=d403479a25335b6ac40e53bb763bf64663a30b00\" alt=\"math formula\" data-mce-src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0007.png?v=1&amp;s=d403479a25335b6ac40e53bb763bf64663a30b00\"></span></span><span> molecular biomarker proxies have been broadly applied in down-core marine sediments to reconstruct past sea surface temperature (SST). Although both TEX</span><sub>86</sub><span> and </span><span class=\"math-equation-construct\" data-equation-construct=\"true\"><span class=\"math-equation-image\" data-equation-image=\"true\"><img class=\"inlineGraphic\" src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0008.png?v=1&amp;s=62f4caa74a179c9d008a8c29c9106a38e54f3c48\" alt=\"math formula\" data-mce-src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0008.png?v=1&amp;s=62f4caa74a179c9d008a8c29c9106a38e54f3c48\"></span></span><span> have been interpreted as proxies for mean annual SST throughout the global ocean, regional studies of GDGTs and alkenones in sinking particles are required to understand the influence of seasonality, depth distribution and diagenesis on downcore variability. We measure GDGT and alkenone flux, as well as the TEX</span><sub>86</sub><span> and </span><span class=\"math-equation-construct\" data-equation-construct=\"true\"><span class=\"math-equation-image\" data-equation-image=\"true\"><img class=\"inlineGraphic\" src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0009.png?v=1&amp;s=2e82d31462f318fb86f3ffaf2a6a3787eb48a6ae\" alt=\"math formula\" data-mce-src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0009.png?v=1&amp;s=2e82d31462f318fb86f3ffaf2a6a3787eb48a6ae\"></span></span><span> indices in a 4-year sediment trap time series (2010-2014) in the northern Gulf of Mexico (nGoM), and compare these data with core-top sediments at the same location. GDGT and alkenone fluxes do not show a consistent seasonal cycle, however the largest flux peaks for both occurs in winter. </span><span class=\"math-equation-construct\" data-equation-construct=\"true\"><span class=\"math-equation-image\" data-equation-image=\"true\"><img class=\"inlineGraphic\" src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0010.png?v=1&amp;s=81f7fa754f9d41630511e3846390c9cd8cbf7274\" alt=\"math formula\" data-mce-src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0010.png?v=1&amp;s=81f7fa754f9d41630511e3846390c9cd8cbf7274\"></span></span><span> co-varies with SST over the 4-year sampling interval, but the </span><span class=\"math-equation-construct\" data-equation-construct=\"true\"><span class=\"math-equation-image\" data-equation-image=\"true\"><img class=\"inlineGraphic\" src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0011.png?v=1&amp;s=73d72d872e1a2521267a2b8d2fc5dcab7424727f\" alt=\"math formula\" data-mce-src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0011.png?v=1&amp;s=73d72d872e1a2521267a2b8d2fc5dcab7424727f\"></span></span><span>-SST relationship in this data set implies a smaller slope or non-linearity at high temperatures when compared with existing calibrations. Furthermore, the flux-weighted </span><span class=\"math-equation-construct\" data-equation-construct=\"true\"><span class=\"math-equation-image\" data-equation-image=\"true\"><img class=\"inlineGraphic\" src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0012.png?v=1&amp;s=c4029c4c176475c28ba9d172d719d06ea968530b\" alt=\"math formula\" data-mce-src=\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0012.png?v=1&amp;s=c4029c4c176475c28ba9d172d719d06ea968530b\"></span></span><span>value from sinking particles is significantly lower than that of underlying core-top sediments, suggesting preferential diagenetic loss of the tri-unsaturated alkenone in sediments. TEX</span><sub>86</sub><span> does not co-vary with SST, suggesting production in the subsurface upper water column. The flux-weighted mean TEX</span><sub>86</sub><span> matches that of core-top sediments, confirming that TEX</span><sub>86</sub><span> in the nGoM reflects local planktonic production rather than allochthonous or </span><i>in-situ</i><span> sedimentary production. We explore potential sources of uncertainty in both proxies in the nGoM, but demonstrate that they show nearly identical trends in 20</span><sup>th</sup><span> century SST, despite these factors.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2016PA003032","usgsCitation":"Richey, J.N., and Tierney, J.E., 2016, GDGT and alkenone flux in the northern Gulf of Mexico: Implications for the TEX<sub>86</sub> and U<sup>K<sub>1</sub></sup><sub>37</sub> paleothermometers: Paleoceanography, v. 31, no. 12, p. 1547-1561, https://doi.org/10.1002/2016PA003032.","productDescription":"15 p.","startPage":"1547","endPage":"1561","ipdsId":"IP-079473","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470319,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2016pa003032","text":"External Repository"},{"id":332266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335357,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76M350W","text":"GDGT and Alkenone Flux in the Northern Gulf of Mexico"}],"otherGeospatial":"Northern Gulf of Mexico","volume":"31","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-19","publicationStatus":"PW","scienceBaseUri":"58590008e4b03639a6025e29","contributors":{"authors":[{"text":"Richey, Julie N. 0000-0002-2319-7980 jrichey@usgs.gov","orcid":"https://orcid.org/0000-0002-2319-7980","contributorId":174046,"corporation":false,"usgs":true,"family":"Richey","given":"Julie","email":"jrichey@usgs.gov","middleInitial":"N.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tierney, Jessica E.","contributorId":177527,"corporation":false,"usgs":false,"family":"Tierney","given":"Jessica","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":656129,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179130,"text":"70179130 - 2016 - Barrier island breach evolution: Alongshore transport and bay-ocean pressure gradient interactions","interactions":[],"lastModifiedDate":"2017-01-27T11:20:11","indexId":"70179130","displayToPublicDate":"2016-12-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2321,"text":"Journal of Geophysical Research: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Barrier island breach evolution: Alongshore transport and bay-ocean pressure gradient interactions","docAbstract":"<p><span>Physical processes controlling repeated openings and closures of a barrier island breach between a bay and the open ocean are studied using aerial photographs and atmospheric and hydrodynamic observations. The breach site is located on Pea Island along the Outer Banks, separating Pamlico Sound from the Atlantic Ocean. Wind direction was a major control on the pressure gradients between the bay and the ocean to drive flows that initiate or maintain the breach opening. Alongshore sediment flux was found to be a major contributor to breach closure. During the analysis period from 2011 to 2016, three hurricanes had major impacts on the breach. First, Hurricane Irene opened the breach with wind-driven flow from bay to ocean in August 2011. Hurricane Sandy in October 2012 quadrupled the channel width from pressure gradient flows due to water levels that were first higher on the ocean side and then higher on the bay side. The breach closed sometime in Spring 2013, most likely due to an event associated with strong alongshore sediment flux but minimal ocean-bay pressure gradients. Then, in July 2014, Hurricane Arthur briefly opened the breach again from the bay side, in a similar fashion to Irene. In summary, opening and closure of breaches are shown to follow a dynamic and episodic balance between along-channel pressure gradient driven flows and alongshore sediment fluxes.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2016JC012029","usgsCitation":"Safak, I., Warner, J., and List, J.H., 2016, Barrier island breach evolution: Alongshore transport and bay-ocean pressure gradient interactions: Journal of Geophysical Research: Oceans, v. 121, no. 12, p. 8720-8730, https://doi.org/10.1002/2016JC012029.","productDescription":"11 p.","startPage":"8720","endPage":"8730","ipdsId":"IP-074360","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470317,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2016jc012029","text":"External Repository"},{"id":332268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Pea Island","volume":"121","issue":"12","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-16","publicationStatus":"PW","scienceBaseUri":"58590007e4b03639a6025e23","contributors":{"authors":[{"text":"Safak, Ilgar 0000-0001-7675-0770 isafak@usgs.gov","orcid":"https://orcid.org/0000-0001-7675-0770","contributorId":5522,"corporation":false,"usgs":true,"family":"Safak","given":"Ilgar","email":"isafak@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"List, Jeffrey H. 0000-0001-8594-2491 jlist@usgs.gov","orcid":"https://orcid.org/0000-0001-8594-2491","contributorId":174581,"corporation":false,"usgs":true,"family":"List","given":"Jeffrey","email":"jlist@usgs.gov","middleInitial":"H.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656126,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179126,"text":"70179126 - 2016 - Landscape genetic approaches to guide native plant restoration in the Mojave Desert","interactions":[],"lastModifiedDate":"2017-03-14T09:08:29","indexId":"70179126","displayToPublicDate":"2016-12-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Landscape genetic approaches to guide native plant restoration in the Mojave Desert","docAbstract":"<p><span>Restoring dryland ecosystems is a global challenge due to synergistic drivers of disturbance coupled with unpredictable environmental conditions. Dryland plant species have evolved complex life-history strategies to cope with fluctuating resources and climatic extremes. Although rarely quantified, local adaptation is likely widespread among these species and potentially influences restoration outcomes. The common practice of reintroducing propagules to restore dryland ecosystems, often across large spatial scales, compels evaluation of adaptive divergence within these species. Such evaluations are critical to understanding the consequences of large-scale manipulation of gene flow and to predicting success of restoration efforts. However, genetic information for species of interest can be difficult and expensive to obtain through traditional common garden experiments. Recent advances in landscape genetics offer marker-based approaches for identifying environmental drivers of adaptive genetic variability in non-model species, but tools are still needed to link these approaches with practical aspects of ecological restoration. Here, we combine spatially-explicit landscape genetics models with flexible visualization tools to demonstrate how cost-effective evaluations of adaptive genetic divergence can facilitate implementation of different seed sourcing strategies in ecological restoration. We apply these methods to Amplified Fragment Length Polymorphism (AFLP) markers genotyped in two Mojave Desert shrub species of high restoration importance: the long-lived, wind-pollinated gymnosperm </span><i>Ephedra nevadensis</i><span>, and the short-lived, insect-pollinated angiosperm </span><i>Sphaeralcea ambigua</i><span>. Mean annual temperature was identified as an important driver of adaptive genetic divergence for both species. </span><i>Ephedra</i><span> showed stronger adaptive divergence with respect to precipitation variability, while temperature variability and precipitation averages explained a larger fraction of adaptive divergence in </span><i>Sphaeralcea</i><span>. We describe multivariate statistical approaches for interpolating spatial patterns of adaptive divergence while accounting for potential bias due to neutral genetic structure. Through a spatial bootstrapping procedure, we also visualize patterns in the magnitude of model uncertainty. Finally, we introduce an interactive, distance-based mapping approach that explicitly links marker-based models of adaptive divergence with local or admixture seed sourcing strategies, promoting effective native plant restoration.</span></p>","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1002/eap.1447","usgsCitation":"Shryock, D.F., Havrilla, C.A., DeFalco, L.A., Esque, T., Custer, N., and Wood, T.E., 2016, Landscape genetic approaches to guide native plant restoration in the Mojave Desert: Ecological Applications, v. 27, no. 2, p. 429-445, https://doi.org/10.1002/eap.1447.","productDescription":"17 p.","startPage":"429","endPage":"445","ipdsId":"IP-070517","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470320,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.1447","text":"Publisher Index Page"},{"id":332262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mojave Desert","volume":"27","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-30","publicationStatus":"PW","scienceBaseUri":"58590007e4b03639a6025e27","chorus":{"doi":"10.1002/eap.1447","url":"http://dx.doi.org/10.1002/eap.1447","publisher":"Wiley-Blackwell","authors":"Shryock Daniel F., Havrilla Caroline A., DeFalco Lesley A., Esque Todd C., Custer Nathan A., Wood Troy E.","journalName":"Ecological Applications","publicationDate":"1/30/2017","publiclyAccessibleDate":"1/30/2017"},"contributors":{"authors":[{"text":"Shryock, Daniel F. dshryock@usgs.gov","contributorId":5139,"corporation":false,"usgs":true,"family":"Shryock","given":"Daniel","email":"dshryock@usgs.gov","middleInitial":"F.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":656102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Havrilla, Caroline A. 0000-0003-3913-0980","orcid":"https://orcid.org/0000-0003-3913-0980","contributorId":146326,"corporation":false,"usgs":true,"family":"Havrilla","given":"Caroline","email":"","middleInitial":"A.","affiliations":[{"id":16669,"text":"U of CO, Boulder","active":true,"usgs":false},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":656104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeFalco, Lesley A. 0000-0002-7542-9261 ldefalco@usgs.gov","orcid":"https://orcid.org/0000-0002-7542-9261","contributorId":177536,"corporation":false,"usgs":true,"family":"DeFalco","given":"Lesley","email":"ldefalco@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":656105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esque, Todd C. 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":168763,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":656103,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Custer, Nathan ncuster@usgs.gov","contributorId":5561,"corporation":false,"usgs":true,"family":"Custer","given":"Nathan","email":"ncuster@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":656106,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wood, Troy E. 0000-0002-1533-5714 twood@usgs.gov","orcid":"https://orcid.org/0000-0002-1533-5714","contributorId":4023,"corporation":false,"usgs":true,"family":"Wood","given":"Troy","email":"twood@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":656107,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70175633,"text":"sir20165120 - 2016 - Long Valley Caldera Lake and reincision of Owens River Gorge","interactions":[],"lastModifiedDate":"2016-12-16T20:22:57","indexId":"sir20165120","displayToPublicDate":"2016-12-16T00:00:00","publicationYear":"2016","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":"2016-5120","title":"Long Valley Caldera Lake and reincision of Owens River Gorge","docAbstract":"<p><span>Owens River Gorge, today rimmed exclusively in 767-ka Bishop Tuff, was first cut during the Neogene through a ridge of Triassic granodiorite to a depth as great as its present-day floor and was then filled to its rim by a small basaltic shield at 3.3 Ma. The gorge-filling basalt, 200 m thick, blocked a 5-km-long reach of the upper gorge, diverting the Owens River southward around the shield into Rock Creek where another 200-m-deep gorge was cut through the same basement ridge. Much later, during Marine Isotope Stage (MIS) 22 (~900–866 ka), a piedmont glacier buried the diversion and deposited a thick sheet of Sherwin Till atop the basalt on both sides of the original gorge, showing that the basalt-filled reach had not, by then, been reexcavated. At 767 ka, eruption of the Bishop Tuff blanketed the landscape with welded ignimbrite, deeply covering the till, basalt, and granodiorite and completely filling all additional reaches of both Rock Creek canyon and Owens River Gorge. The ignimbrite rests directly on the basalt and till along the walls of Owens Gorge, but nowhere was it inset against either, showing that the basalt-blocked reach had still not been reexcavated. Subsidence of Long Valley Caldera at 767 ka produced a steep-walled depression at least 700 m deeper than the precaldera floor of Owens Gorge, which was beheaded at the caldera’s southeast rim. Caldera collapse reoriented proximal drainages that had formerly joined east-flowing Owens River, abruptly reversing flow westward into the caldera. It took 600,000 years of sedimentation in the 26-km-long, usually shallow, caldera lake to fill the deep basin and raise lake level to its threshold for overflow. Not until then did reestablishment of Owens River Gorge begin, by incision of the gorge-filling ignimbrite.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165120","usgsCitation":"Hildreth, Wes, and Fierstein, Judy, 2016, Long Valley Caldera lake and reincision of Owens River\nGorge: U.S. Geological Survey Scientific Investigations Report 2016–5120, 63 p.,\nhttps://doi.org/10.3133/sir20165120.","productDescription":"Report: v, 63 p.; Appendixes: 1-2.","numberOfPages":"74","ipdsId":"IP-068987","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":332247,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5120/sir20165120_appendix2.pdf","text":"Appendix 2","size":"134 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5120 Appendix 2"},{"id":332186,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5120/sir20165120_appendix1.xlsx","text":"Appendix 1","size":"60 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016-5120 Appendix 1 xlsx"},{"id":332185,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5120/sir20165120.pdf","text":"Report","size":"6.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5120"},{"id":332184,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5120/coverthb.jpg"},{"id":332187,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5120/sir20165120_appendix1.csv","text":"Appendix 1","size":"3 KB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2016-5120 Appendix 1 csv"}],"country":"United States","state":"California","county":"Mono County","otherGeospatial":"Long Valley Caldera, Owens River Gorge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.20578002929688,\n              37.35924242260126\n            ],\n            [\n              -119.20578002929688,\n              37.97343243999255\n            ],\n            [\n              -118.35159301757811,\n              37.97343243999255\n            ],\n            [\n              -118.35159301757811,\n              37.35924242260126\n            ],\n            [\n              -119.20578002929688,\n              37.35924242260126\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://volcanoes.usgs.gov/vhp/contact.html\" target=\"_blank\" data-mce-href=\"https://volcanoes.usgs.gov/vhp/contact.html\">Contact Information</a>, Volcano Science Center - Menlo Park<br> U.S. Geological Survey<br> 345 Middlefield Road, MS 910<br> Menlo Park, CA 94025<br> <a href=\"https://volcanoes.usgs.gov/\" target=\"_blank\" data-mce-href=\"https://volcanoes.usgs.gov/\">http://volcanoes.usgs.gov/</a></p>","tableOfContents":"<ul><li>Appendixes</li><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Previous Investigations</li><li>Long Valley Lake</li><li>Owens River Gorge</li><li>Age of the Highstand</li><li>Extinction of Long Valley Lake</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2016-12-16","noUsgsAuthors":false,"publicationDate":"2016-12-16","publicationStatus":"PW","scienceBaseUri":"58550b80e4b02bdf681568b5","contributors":{"authors":[{"text":"Hildreth, Wes 0000-0002-7925-4251 hildreth@usgs.gov","orcid":"https://orcid.org/0000-0002-7925-4251","contributorId":2221,"corporation":false,"usgs":true,"family":"Hildreth","given":"Wes","email":"hildreth@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":645897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fierstein, Judy jfierstn@usgs.gov","contributorId":2023,"corporation":false,"usgs":true,"family":"Fierstein","given":"Judy","email":"jfierstn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":645898,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187588,"text":"70187588 - 2016 - Statistical tests of simple earthquake cycle models","interactions":[],"lastModifiedDate":"2017-05-10T09:16:48","indexId":"70187588","displayToPublicDate":"2016-12-16T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Statistical tests of simple earthquake cycle models","docAbstract":"<p><span>A central goal of observing and modeling the earthquake cycle is to forecast when a particular fault may generate an earthquake: a fault late in its earthquake cycle may be more likely to generate an earthquake than a fault early in its earthquake cycle. Models that can explain geodetic observations throughout the entire earthquake cycle may be required to gain a more complete understanding of relevant physics and phenomenology. Previous efforts to develop unified earthquake models for strike-slip faults have largely focused on explaining both preseismic and postseismic geodetic observations available across a few faults in California, Turkey, and Tibet. An alternative approach leverages the global distribution of geodetic and geologic slip rate estimates on strike-slip faults worldwide. Here we use the Kolmogorov-Smirnov test for similarity of distributions to infer, in a statistically rigorous manner, viscoelastic earthquake cycle models that are inconsistent with 15 sets of observations across major strike-slip faults. We reject a large subset of two-layer models incorporating Burgers rheologies at a significance level of </span><i>α</i><span> = 0.05 (those with long-term Maxwell viscosities </span><i>η</i><sub>M</sub><span> &lt;~ 4.0 × 10</span><sup>19</sup><span> Pa s and </span><i>η</i><sub>M</sub><span> &gt;~ 4.6 × 10</span><sup>20</sup><span> Pa s) but cannot reject models on the basis of transient Kelvin viscosity </span><i>η</i><sub>K</sub><span>. Finally, we examine the implications of these results for the predicted earthquake cycle timing of the 15 faults considered and compare these predictions to the geologic and historical record.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GL070681","usgsCitation":"Devries, P.M., and Evans, E., 2016, Statistical tests of simple earthquake cycle models: Geophysical Research Letters, v. 43, no. 23, p. 12,036-12,045, https://doi.org/10.1002/2016GL070681.","productDescription":"10 p.","startPage":"12,036","endPage":"12,045","ipdsId":"IP-077441","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470321,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl070681","text":"Publisher Index Page"},{"id":341044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"23","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-12","publicationStatus":"PW","scienceBaseUri":"591426bbe4b0e541a03e9602","contributors":{"authors":[{"text":"Devries, Phoebe M. R.","contributorId":191902,"corporation":false,"usgs":false,"family":"Devries","given":"Phoebe","email":"","middleInitial":"M. R.","affiliations":[],"preferred":false,"id":694655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Eileen 0000-0002-7290-5269 eevans@usgs.gov","orcid":"https://orcid.org/0000-0002-7290-5269","contributorId":167021,"corporation":false,"usgs":true,"family":"Evans","given":"Eileen","email":"eevans@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":694654,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70177032,"text":"sir20165148 - 2016 - Mechanisms of aquatic species invasions across the South Atlantic Landscape Conservation Cooperative region","interactions":[],"lastModifiedDate":"2016-12-15T16:03:23","indexId":"sir20165148","displayToPublicDate":"2016-12-15T15:15:00","publicationYear":"2016","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":"2016-5148","title":"Mechanisms of aquatic species invasions across the South Atlantic Landscape Conservation Cooperative region","docAbstract":"<p>Invasive species are a global issue, and the southeastern United States is not immune to the problems they present. Therefore, various analyses using modeling and exploratory statistics were performed on the U.S. Geological Survey Nonindigenous Aquatic Species (NAS) Database with the primary objective of determining the most appropriate use of presence-only data as related to invasive species in the South Atlantic Landscape Conservation Cooperative (SALCC) region. A hierarchical model approach showed that a relatively small amount of high-quality data from planned surveys can be used to leverage the information in presence-only observations, having a broad spatial coverage and high biases of observer detection and in site selection. Because a variety of sampling protocols can be used in planned surveys, this approach to the analysis of presence-only data is widely applicable. An important part of the management of natural landscapes is the preservation of designated protected areas. When the hydrologic connection was considered in this analysis, the number of potential invaders that could spread to each protected area within the SALCC region was greatly increased, with a mean exceeding 30 species and the maximum reaching 57 species. Nearly all protected areas are hydrologically connected to at least 20 nonindigenous aquatic species. To examine possible factors which may contribute to nonindigenous aquatic species richness in the SALCC region, a set of exploratory statistics was employed. The best statistical model that included a combination of three anthropogenic variables (densities of housing, roads, and reservoirs) and two environmental variables (elevation range and longitude) explained approximately 62 percent of the variation in introduced species richness. Highest nonindigenous aquatic species richness occurred in the more upland, mountainous regions, where elevation range favored reservoirs and attracted urban centers. Lastly, patterns seen in a diffusion model may reflect less about the diffusion process of the organism and more about the opportunistic nature of the data collection process. These results of the model are considered exploratory in nature.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165148","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and the South Atlantic Landscape Conservation Cooperative","usgsCitation":"Benson, A.J., Stith, B.M., and Engel, V.C., 2016, Mechanisms of aquatic species invasions across the South Atlantic Landscape Conservation Cooperative region: U.S. Geological Survey Scientific Investigations Report 2016–5148, 68 p., https://doi.org/10.3133/sir20165148.","productDescription":"Report: viii, 68 p.; Data Release","numberOfPages":"80","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-074281","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research 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USGS NAS Database Data<br></li><li>Statistical Analyses and Point-Process Modeling<br></li><li>Threats to Protected Areas<br></li><li>Factors Associated With Nonindigenous Aquatic Species Richness<br></li><li>Network Analysis Tools for Modeling Diffusion Processes<br></li><li>Discussion<br></li><li>Conclusions<br></li><li>References Cited<br></li><li>Appendixes 1–4<br></li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2016-12-15","noUsgsAuthors":false,"publicationDate":"2016-12-15","publicationStatus":"PW","scienceBaseUri":"5853ba34e4b0e2663625f2a2","contributors":{"authors":[{"text":"Benson, Amy J. 0000-0002-4517-1466 abenson@usgs.gov","orcid":"https://orcid.org/0000-0002-4517-1466","contributorId":3836,"corporation":false,"usgs":true,"family":"Benson","given":"Amy","email":"abenson@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":651058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stith, Bradley bstith@usgs.gov","contributorId":3596,"corporation":false,"usgs":true,"family":"Stith","given":"Bradley","email":"bstith@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":651060,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engel, Victor C. 0000-0002-3858-7308 vengel@usgs.gov","orcid":"https://orcid.org/0000-0002-3858-7308","contributorId":2329,"corporation":false,"usgs":true,"family":"Engel","given":"Victor","email":"vengel@usgs.gov","middleInitial":"C.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":651061,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179087,"text":"70179087 - 2016 - Impacts of the <i>Deepwater Horizon</i> oil spill on deep-sea coral-associated sediment communities","interactions":[],"lastModifiedDate":"2016-12-15T13:29:18","indexId":"70179087","displayToPublicDate":"2016-12-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of the <i>Deepwater Horizon</i> oil spill on deep-sea coral-associated sediment communities","docAbstract":"<p><span>Cold-water corals support distinct populations of infauna within surrounding sediments that provide vital ecosystem functions and services in the deep sea. Yet due to their sedentary existence, infauna are vulnerable to perturbation and contaminant exposure because they are unable to escape disturbance events. While multiple deep-sea coral habitats were injured by the 2010 </span><i>Deepwater Horizon</i><span> (DWH) oil spill, the extent of adverse effects on coral-associated sediment communities is unknown. In 2011, sediments were collected adjacent to several coral habitats located 6 to 183 km from the wellhead in order to quantify the extent of impact of the DWH spill on infaunal communities. Higher variance in macrofaunal abundance and diversity, and different community structure (higher multivariate dispersion) were associated with elevated hydrocarbon concentrations and contaminants at sites closest to the wellhead (MC294, MC297, and MC344), consistent with impacts from the spill. In contrast, variance in meiofaunal diversity was not significantly related to distance from the wellhead and no other community metric (e.g. density or multivariate dispersion) was correlated with contaminants or hydrocarbon concentrations. Concentrations of polycyclic aromatic hydrocarbons (PAH) provided the best statistical explanation for observed macrofaunal community structure, while depth and presence of fine-grained mud best explained meiofaunal community patterns. Impacts associated with contaminants from the DWH spill resulted in a patchwork pattern of infaunal community composition, diversity, and abundance, highlighting the role of variability as an indicator of disturbance. These data represent a useful baseline for tracking post-spill recovery of these deep-sea communities.</span></p>","language":"English","publisher":"Inter-Research","doi":"10.3354/meps11905","usgsCitation":"Demopoulos, A.W., Bourque, J.R., Cordes, E.E., and Stamler, K., 2016, Impacts of the <i>Deepwater Horizon</i> oil spill on deep-sea coral-associated sediment communities: Marine Ecology Progress Series, v. 561, p. 51-68, https://doi.org/10.3354/meps11905.","productDescription":"18 p.","startPage":"51","endPage":"68","ipdsId":"IP-073329","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":332167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"561","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5853ba36e4b0e2663625f2a6","contributors":{"authors":[{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694 ademopoulos@usgs.gov","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":145681,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","email":"ademopoulos@usgs.gov","middleInitial":"W.J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":656000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bourque, Jill R. 0000-0003-3809-2601 jbourque@usgs.gov","orcid":"https://orcid.org/0000-0003-3809-2601","contributorId":5452,"corporation":false,"usgs":true,"family":"Bourque","given":"Jill","email":"jbourque@usgs.gov","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":656001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cordes, Erik E.","contributorId":37623,"corporation":false,"usgs":false,"family":"Cordes","given":"Erik","email":"","middleInitial":"E.","affiliations":[{"id":16710,"text":"Temple University, Department of Biology","active":true,"usgs":false}],"preferred":false,"id":656002,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stamler, Katherine kstamler@usgs.gov","contributorId":177508,"corporation":false,"usgs":true,"family":"Stamler","given":"Katherine","email":"kstamler@usgs.gov","affiliations":[],"preferred":true,"id":656003,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178343,"text":"sir20165160 - 2016 - Estimated nitrogen and phosphorus inputs to the Fish Creek watershed, Teton County, Wyoming, 2009–15","interactions":[],"lastModifiedDate":"2017-01-04T09:00:15","indexId":"sir20165160","displayToPublicDate":"2016-12-15T00:00:00","publicationYear":"2016","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":"2016-5160","title":"Estimated nitrogen and phosphorus inputs to the Fish Creek watershed, Teton County, Wyoming, 2009–15","docAbstract":"<p>Nutrients, such as nitrogen and phosphorus, are essential for plant and animal growth and nourishment, but the overabundance of bioavailable nitrogen and phosphorus in water can cause adverse health and ecological effects. It is generally accepted that increased primary production of surface-water bodies because of high inputs of nutrients is now the most important polluting effect in surface water in the developed world.</p><p></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165160","collaboration":"Prepared in cooperation with Teton Conservation District","usgsCitation":"Eddy-Miller, C.A., Sando, Roy, MacDonald, M.J., and Girard, C.E., 2016, Estimated nitrogen and phosphorus inputs to the Fish Creek watershed, Teton County, Wyoming, 2009–15: U.S. Geological Survey Scientific Investigations Report 2016–5160, 29 p., https://doi.org/10.3133/sir20165160.","productDescription":"viii, 29 p.","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-077799","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":438484,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F73X84VR","text":"USGS data release","linkHelpText":"Estimated Nitrogen and Phosphorus Input to Fish Creek Watershed, Teton County, Wyoming"},{"id":331477,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5160/coverthb.jpg"},{"id":331478,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5160/sir20165160.pdf","text":"Report","size":"3.81 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5160"}],"country":"Wyoming","state":"Teton County","otherGeospatial":"Fish Creek watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.7693099975586,\n              43.61495102209688\n            ],\n            [\n              -110.7696533203125,\n           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  43.562978940066884\n            ],\n            [\n              -110.78956604003905,\n              43.58387263463816\n            ],\n            [\n              -110.7806396484375,\n              43.602272978692746\n            ],\n            [\n              -110.7693099975586,\n              43.61495102209688\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Wyoming-Montana Water Science Center <br>U.S. Geological Survey <br>3162 Bozeman Ave <br>Helena, MT 59601</p><p><a href=\"http://wy-mt.water.usgs.gov/\" data-mce-href=\"http://wy-mt.water.usgs.gov/\">http://wy-mt.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Nitrogen and Phosphorus Inputs<br></li><li>Summary<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-12-15","noUsgsAuthors":false,"publicationDate":"2016-12-15","publicationStatus":"PW","scienceBaseUri":"5853ba3ce4b0e2663625f2b0","contributors":{"authors":[{"text":"Eddy-Miller, Cheryl A.","contributorId":86755,"corporation":false,"usgs":true,"family":"Eddy-Miller","given":"Cheryl A.","affiliations":[],"preferred":false,"id":653656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sando, Roy 0000-0003-0704-6258","orcid":"https://orcid.org/0000-0003-0704-6258","contributorId":26230,"corporation":false,"usgs":true,"family":"Sando","given":"Roy","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":false,"id":653657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacDonald, Michael J.","contributorId":176837,"corporation":false,"usgs":false,"family":"MacDonald","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":653658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Girard, Carlin","contributorId":176838,"corporation":false,"usgs":false,"family":"Girard","given":"Carlin","email":"","affiliations":[],"preferred":false,"id":653659,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179048,"text":"70179048 - 2016 - Combined exposure of diesel exhaust particles and respirable Soufrière Hills volcanic ash causes a (pro-)inflammatory response in an in vitro multicellular epithelial tissue barrier model","interactions":[],"lastModifiedDate":"2016-12-15T16:16:03","indexId":"70179048","displayToPublicDate":"2016-12-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5238,"text":"Particle and Fibre Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Combined exposure of diesel exhaust particles and respirable Soufrière Hills volcanic ash causes a (pro-)inflammatory response in an in vitro multicellular epithelial tissue barrier model","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\"><h3 class=\"Heading\">Background</h3><p id=\"Par1\" class=\"Para\">There are justifiable health concerns regarding the potential adverse effects associated with human exposure to volcanic ash (VA) particles, especially when considering communities living in urban areas already exposed to heightened air pollution. The aim of this study was, therefore, to gain an imperative, first understanding of the biological impacts of respirable VA when exposed concomitantly with diesel particles.</p></div><div id=\"ASec2\" class=\"AbstractSection\"><h3 class=\"Heading\">Methods</h3><p id=\"Par2\" class=\"Para\">A sophisticated in vitro 3D triple cell co-culture model of the human alveolar epithelial tissue barrier was exposed to either a single or repeated dose of dry respirable VA (deposited dose of 0.26 ± 0.09 or 0.89 ± 0.29&nbsp;μg/cm<sup>2</sup>, respectively) from Soufrière Hills volcano, Montserrat for a period of 24&nbsp;h at the air-liquid interface&nbsp;(ALI). Subsequently, co-cultures were exposed to co-exposures of single or repeated VA and diesel exhaust particles (DEP; NIST SRM 2975; 0.02&nbsp;mg/mL), a model urban pollutant, at the pseudo-ALI. The biological impact of each individual particle type was also analysed under these precise scenarios. The cytotoxic (LDH release), oxidative stress (depletion of intracellular GSH) and (pro-)inflammatory (TNF-α, IL-8 and IL-1β) responses were assessed after the particulate exposures. The impact of VA exposure upon cell morphology, as well as its interaction with the multicellular model, was visualised <i class=\"EmphasisTypeItalic\">via</i> confocal laser scanning microscopy (LSM) and scanning electron microscopy (SEM), respectively.</p></div><div id=\"ASec3\" class=\"AbstractSection\"><h3 class=\"Heading\">Results</h3><p id=\"Par3\" class=\"Para\">The combination of respirable VA and DEP, in all scenarios, incited an heightened release of TNF-α and IL-8 as well as significant increases in IL-1β, when applied at sub-lethal doses to the co-culture compared to VA exposure alone. Notably, the augmented (pro-)inflammatory responses observed were not mediated by oxidative stress. LSM supported the quantitative assessment of cytotoxicity, with no changes in cell morphology within the barrier model evident. A direct interaction of the VA with all three cell types of the multicellular system was observed by SEM.</p></div><div id=\"ASec4\" class=\"AbstractSection\"><h3 class=\"Heading\">Conclusions</h3><p id=\"Par4\" class=\"Para\">Combined exposure of respirable Soufrière Hills VA with DEP causes a (pro-)inflammatory effect in an advanced in vitro multicellular model of the epithelial airway barrier. This finding suggests that the combined exposure to volcanic and urban particulate matter should be further investigated in order to deduce the potential human health hazard, especially how it may influence the respiratory function of susceptible individuals (i.e. with pre-existing lung diseases) in the population.</p></div>","language":"English","publisher":"BioMed Central","doi":"10.1186/s12989-016-0178-9","usgsCitation":"Tomašek, I., Horwell, C.J., Damby, D., Barosova, H., Geers, C., Petri-Fink, A., Rothen-Rutishauser, B., and Clift, M.J., 2016, Combined exposure of diesel exhaust particles and respirable Soufrière Hills volcanic ash causes a (pro-)inflammatory response in an in vitro multicellular epithelial tissue barrier model: Particle and Fibre Toxicology, v. 13, no. 67, p. 1-14, https://doi.org/10.1186/s12989-016-0178-9.","productDescription":"14 p.","startPage":"1","endPage":"14","ipdsId":"IP-081993","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470325,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s12989-016-0178-9","text":"Publisher Index Page"},{"id":332194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"67","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-12","publicationStatus":"PW","scienceBaseUri":"5853ba3be4b0e2663625f2ae","contributors":{"authors":[{"text":"Tomašek, Ines","contributorId":177454,"corporation":false,"usgs":false,"family":"Tomašek","given":"Ines","affiliations":[],"preferred":false,"id":655869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horwell, Claire J.","contributorId":177455,"corporation":false,"usgs":false,"family":"Horwell","given":"Claire","email":"","middleInitial":"J.","affiliations":[{"id":16770,"text":"Dept. Earth Sciences, Durham University, UK","active":true,"usgs":false}],"preferred":false,"id":655870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Damby, David 0000-0002-3238-3961 ddamby@usgs.gov","orcid":"https://orcid.org/0000-0002-3238-3961","contributorId":177453,"corporation":false,"usgs":true,"family":"Damby","given":"David","email":"ddamby@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":655868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barosova, Hana","contributorId":177456,"corporation":false,"usgs":false,"family":"Barosova","given":"Hana","email":"","affiliations":[],"preferred":false,"id":655871,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Geers, Christoph","contributorId":177457,"corporation":false,"usgs":false,"family":"Geers","given":"Christoph","email":"","affiliations":[],"preferred":false,"id":655872,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Petri-Fink, Alke","contributorId":177458,"corporation":false,"usgs":false,"family":"Petri-Fink","given":"Alke","email":"","affiliations":[],"preferred":false,"id":655873,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rothen-Rutishauser, Barbara","contributorId":177459,"corporation":false,"usgs":false,"family":"Rothen-Rutishauser","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":655874,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Clift, Martin J. D.","contributorId":177460,"corporation":false,"usgs":false,"family":"Clift","given":"Martin","email":"","middleInitial":"J. D.","affiliations":[],"preferred":false,"id":655875,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70179086,"text":"70179086 - 2016 - Introduction to “Global tsunami science: Past and future, Volume I”","interactions":[],"lastModifiedDate":"2016-12-15T14:49:34","indexId":"70179086","displayToPublicDate":"2016-12-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3209,"text":"Pure and Applied Geophysics PAGEOPH","active":true,"publicationSubtype":{"id":10}},"title":"Introduction to “Global tsunami science: Past and future, Volume I”","docAbstract":"<p><span>Twenty-five papers on the study of tsunamis are included in Volume I of the PAGEOPH topical issue “Global Tsunami Science: Past and Future”. Six papers examine various aspects of tsunami probability and uncertainty analysis related to hazard assessment. Three papers relate to deterministic hazard and risk assessment. Five more papers present new methods for tsunami warning and detection. Six papers describe new methods for modeling tsunami hydrodynamics. Two papers investigate tsunamis generated by non-seismic sources: landslides and meteorological disturbances. The final three papers describe important case studies of recent and historical events. Collectively, this volume highlights contemporary trends in global tsunami research, both fundamental and applied toward hazard assessment and mitigation.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00024-016-1427-4","usgsCitation":"Geist, E.L., Fritz, H., Rabinovich, A.B., and Tanioka, Y., 2016, Introduction to “Global tsunami science: Past and future, Volume I”: Pure and Applied Geophysics PAGEOPH, v. 173, no. 12, p. 3663-3669, https://doi.org/10.1007/s00024-016-1427-4.","productDescription":"7 p.","startPage":"3663","endPage":"3669","ipdsId":"IP-081118","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":461997,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00024-016-1427-4","text":"Publisher Index Page"},{"id":332179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"173","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-16","publicationStatus":"PW","scienceBaseUri":"5853ba37e4b0e2663625f2a8","contributors":{"authors":[{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":655996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fritz, Hermann","contributorId":106040,"corporation":false,"usgs":true,"family":"Fritz","given":"Hermann","affiliations":[],"preferred":false,"id":655997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rabinovich, Alexander B.","contributorId":177506,"corporation":false,"usgs":false,"family":"Rabinovich","given":"Alexander","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":655998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tanioka, Yuichiro","contributorId":177507,"corporation":false,"usgs":false,"family":"Tanioka","given":"Yuichiro","email":"","affiliations":[],"preferred":false,"id":655999,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179081,"text":"70179081 - 2016 - Plague cycles in two rodent species from China: Dry years might provide context for epizootics in wet years","interactions":[],"lastModifiedDate":"2016-12-16T09:10:46","indexId":"70179081","displayToPublicDate":"2016-12-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Plague cycles in two rodent species from China: Dry years might provide context for epizootics in wet years","docAbstract":"<p><span>Plague, a rodent-associated, flea-borne zoonosis, is one of the most notorious diseases in history. Rates of plague transmission can increase when fleas are abundant. Fleas commonly desiccate and die when reared under dry conditions in laboratories, suggesting fleas will be suppressed during droughts in the wild, thus reducing the rate at which plague spreads among hosts. In contrast, fleas might increase in abundance when precipitation is plentiful, producing epizootic outbreaks during wet years. We tested these hypotheses using a 27-yr data set from two rodents in Inner Mongolia, China: Mongolian gerbils (</span><i>Meriones unguiculatus</i><span>) and Daurian ground squirrels (</span><i>Spermophilus dauricus</i><span>). For both species of rodents, fleas were most abundant during years preceded by dry growing seasons. For gerbils, the prevalence of plague increased during wet years preceded by dry growing seasons. If precipitation is scarce during the primary growing season, succulent plants decline in abundance and, consequently, herbivorous rodents can suffer declines in body condition. Fleas produce more offspring and better survive when parasitizing food-limited hosts, because starving animals tend to exhibit inefficient behavioral and immunological defenses against fleas. Further, rodent burrows might buffer fleas from xeric conditions aboveground during dry years. After a dry year, fleas might be abundant due to the preceding drought, and if precipitation and succulent plants become more plentiful, rodents could increase in density, thereby creating connectivity that facilitates the spread of plague. Moreover, in wet years, mild temperatures might increase the efficiency at which fleas transmit the plague bacterium, while also helping fleas to survive as they quest among hosts. In this way, dry years could provide context for epizootics of plague in wet years.</span></p>","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1002/ecs2.1495","usgsCitation":"Eads, D.A., Biggins, D.E., Xu, L., and Liu, Q., 2016, Plague cycles in two rodent species from China: Dry years might provide context for epizootics in wet years: Ecosphere, v. 7, no. 10, e01495; 10 p., https://doi.org/10.1002/ecs2.1495.","productDescription":"e01495; 10 p.","ipdsId":"IP-077713","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470324,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1495","text":"Publisher Index Page"},{"id":332178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","volume":"7","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-18","publicationStatus":"PW","scienceBaseUri":"5853ba38e4b0e2663625f2ac","chorus":{"doi":"10.1002/ecs2.1495","url":"http://dx.doi.org/10.1002/ecs2.1495","publisher":"Wiley-Blackwell","authors":"Eads David A., Biggins Dean E., Xu Lei, Liu Qiyong","journalName":"Ecosphere","publicationDate":"10/2016","auditedOn":"11/13/2016"},"contributors":{"authors":[{"text":"Eads, David A. 0000-0002-4247-017X deads@usgs.gov","orcid":"https://orcid.org/0000-0002-4247-017X","contributorId":173639,"corporation":false,"usgs":true,"family":"Eads","given":"David","email":"deads@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":655962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":655963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xu, Lei","contributorId":177492,"corporation":false,"usgs":false,"family":"Xu","given":"Lei","email":"","affiliations":[],"preferred":false,"id":655964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Qiyong","contributorId":177493,"corporation":false,"usgs":false,"family":"Liu","given":"Qiyong","email":"","affiliations":[],"preferred":false,"id":655965,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70182796,"text":"70182796 - 2016 - Isotopic constraints on the genesis and evolution of basanitic lavas at Haleakala, Island of Maui, Hawaii","interactions":[],"lastModifiedDate":"2020-09-26T15:17:41.824779","indexId":"70182796","displayToPublicDate":"2016-12-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Isotopic constraints on the genesis and evolution of basanitic lavas at Haleakala, Island of Maui, Hawaii","docAbstract":"<p><span>To understand the dynamics of solid mantle upwelling and melting in the Hawaiian plume, we present new major and trace element data, Nd, Sr, Hf, and Pb isotopic compositions, and </span><sup>238</sup><span>U–</span><sup>230</sup><span>Th–</span><sup>226</sup><span>Ra and </span><sup>235</sup><span>U–</span><sup>231</sup><span>Pa–</span><sup>227</sup><span>Ac activities for 13 Haleakala Crater nepheline normative basanites with ages ranging from ∼900 to 4100&nbsp;yr B.P. These basanites of the Hana Volcanics exhibit an enrichment in incompatible trace elements and a more depleted isotopic signature than similarly aged Hawaiian shield lavas from Kilauea and Mauna Loa. Here we posit that as the Pacific lithosphere beneath the active shield volcanoes moves away from the center of the Hawaiian plume, increased incorporation of an intrinsic depleted component with relatively low </span><sup>206</sup><span>Pb/</span><sup>204</sup><span>Pb produces the source of the basanites of the Hana Volcanics. Haleakala Crater basanites have average (</span><sup>230</sup><span>Th/</span><sup>238</sup><span>U) of 1.23 (</span><i>n</i><span>&nbsp;=&nbsp;13), average age-corrected (</span><sup>226</sup><span>Ra/</span><sup>230</sup><span>Th) of 1.25 (</span><i>n</i><span>&nbsp;=&nbsp;13), and average (</span><sup>231</sup><span>Pa/</span><sup>235</sup><span>U) of 1.67 (</span><i>n</i><span>&nbsp;=&nbsp;4), significantly higher than Kilauea and Mauna Loa tholeiites. U-series modeling shows that solid mantle upwelling velocity for Haleakala Crater basanites ranges from ∼0.7 to 1.0&nbsp;cm/yr, compared to ∼10 to 20&nbsp;cm/yr for tholeiites and ∼1 to 2&nbsp;cm/yr for alkali basalts. These modeling results indicate that solid mantle upwelling rates and porosity of the melting zone are lower for Hana Volcanics basanites than for shield-stage tholeiites from Kilauea and Mauna Loa and alkali basalts from Hualalai. The melting rate, which is directly proportional to both the solid mantle upwelling rate and the degree of melting, is therefore greatest in the center of the Hawaiian plume and lower on its periphery. Our results indicate that solid mantle upwelling velocity is at least 10 times higher at the center of the plume than at its periphery under Haleakala.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2016.08.017","usgsCitation":"Phillips, E.H., Sims, K., Sherrod, D.R., Salters, V., Blusztajn, J., and Dulaiova, H., 2016, Isotopic constraints on the genesis and evolution of basanitic lavas at Haleakala, Island of Maui, Hawaii: Geochimica et Cosmochimica Acta, v. 195, p. 201-225, https://doi.org/10.1016/j.gca.2016.08.017.","productDescription":"25 p.","startPage":"201","endPage":"225","ipdsId":"IP-068629","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470322,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://hdl.handle.net/1912/8691","text":"Publisher Index Page"},{"id":336726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Haleakala","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.26678466796875,\n              20.915265785641992\n            ],\n            [\n              -156.29150390625,\n              20.83571086093366\n            ],\n            [\n              -156.12121582031247,\n              20.668765746375158\n            ],\n            [\n              -156.104736328125,\n              20.630213817744696\n            ],\n            [\n              -155.99212646484375,\n              20.694461597907797\n            ],\n            [\n              -155.972900390625,\n              20.756113874762082\n            ],\n            [\n              -156.02508544921875,\n              20.82800976296467\n            ],\n            [\n              -156.2200927734375,\n              20.938354479616375\n            ],\n            [\n              -156.26678466796875,\n              20.915265785641992\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"195","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b7eba4e4b01ccd5500bae5","contributors":{"authors":[{"text":"Phillips, Erin H.","contributorId":184202,"corporation":false,"usgs":false,"family":"Phillips","given":"Erin","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":673775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sims, K.W.W.","contributorId":184203,"corporation":false,"usgs":false,"family":"Sims","given":"K.W.W.","email":"","affiliations":[],"preferred":false,"id":673776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherrod, David R. 0000-0001-9460-0434 dsherrod@usgs.gov","orcid":"https://orcid.org/0000-0001-9460-0434","contributorId":527,"corporation":false,"usgs":true,"family":"Sherrod","given":"David","email":"dsherrod@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":673774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Salters, Vincent","contributorId":184204,"corporation":false,"usgs":false,"family":"Salters","given":"Vincent","email":"","affiliations":[],"preferred":false,"id":673777,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blusztajn, Jurek","contributorId":184205,"corporation":false,"usgs":false,"family":"Blusztajn","given":"Jurek","email":"","affiliations":[],"preferred":false,"id":673778,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dulaiova, Henrieta","contributorId":184206,"corporation":false,"usgs":false,"family":"Dulaiova","given":"Henrieta","email":"","affiliations":[],"preferred":false,"id":673779,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70181017,"text":"70181017 - 2016 - The chemistry and isotopic composition of waters in the low-enthalpy geothermal system of Cimino-Vico Volcanic District, Italy","interactions":[],"lastModifiedDate":"2021-08-24T14:13:55.122037","indexId":"70181017","displayToPublicDate":"2016-12-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"The chemistry and isotopic composition of waters in the low-enthalpy geothermal system of Cimino-Vico Volcanic District, Italy","docAbstract":"<p><span>Geothermal energy exploration is based in part on interpretation of the chemistry, temperature, and discharge rate of thermal springs. Here we present the major element chemistry and the δD, δ</span><sup>18</sup><span>O, </span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr and δ</span><sup>11</sup><span>B isotopic ratio of groundwater from the low-enthalpy geothermal system near the city of Viterbo in the Cimino-Vico volcanic district of west-Central Italy. The geothermal system hosts many thermal springs and gas vents, but the resource is still unexploited. Water chemistry is controlled by mixing between low salinity,HCO</span><sub>3</sub><span>-rich fresh waters (&lt;24.2°C) flowing in shallow volcanic rocks and SO</span><sub>4</sub><span>-rich thermal waters (25.3°C to 62.2°C) ascending from deep, high permeability Mesozoic limestones. The (equivalent) SO</span><sub>4</sub><span>/Cl (0.01–0.02), Na/Cl (2.82–5.83) and B/Cl ratios (0.02–0.38) of thermal waters differs from the ratios in other geothermal systems from Central Italy, probably implying a lack of hydraulic continuity across the region. The δ</span><sup>18</sup><span>O (−6.6‰ to −5.9‰) and δD (−40.60‰ to −36.30‰) isotopic composition of spring water suggest that the recharge area for the geothermal system is the summit region of Mount Cimino. The strontium isotope ratios (</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr) of thermal waters (0.70797–0.70805) are consistent with dissolution of the Mesozoic evaporite-carbonate units that constitute the reservoir, and the ratios of cold fresh waters mainly reflect shallow circulation through the volcanic cover and some minor admixture (&lt;10%) of thermal water as well. The boron isotopic composition (δ</span><sup>11</sup><span>B) of fresh waters (−5.00 and 6.12‰) is similar to that of the volcanic cover, but the δ</span><sup>11</sup><span>B of thermal waters (−8.37‰ to −4.12‰) is a mismatch for the Mesozoic reservoir rocks and instead reflects dissolution of secondary boron minerals during fluid ascent through flysch units that overlie the reservoir. A slow and tortuous ascent enhances extraction of boron but also promotes conductive cooling, partially masking the heat present in the reservoir. Overall data from this study is consistent with previous studies that concluded that the geothermal system has a large energy potential.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2016.11.005","usgsCitation":"Battistel, M., Hurwitz, S., Evans, W., and Barbieri, M., 2016, The chemistry and isotopic composition of waters in the low-enthalpy geothermal system of Cimino-Vico Volcanic District, Italy: Journal of Volcanology and Geothermal Research, v. 328, p. 222-229, https://doi.org/10.1016/j.jvolgeores.2016.11.005.","productDescription":"8 p.","startPage":"222","endPage":"229","ipdsId":"IP-081169","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470326,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://orbit.dtu.dk/en/publications/48cf1921-ae5b-4f03-9645-430037005165","text":"Publisher Index Page"},{"id":335170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              11.77459716796875,\n              42.01869237684385\n            ],\n            [\n              11.77459716796875,\n              42.76516228327469\n            ],\n            [\n              12.66998291015625,\n              42.76516228327469\n            ],\n            [\n              12.66998291015625,\n              42.01869237684385\n            ],\n            [\n              11.77459716796875,\n              42.01869237684385\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"328","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"589ffee1e4b099f50d3e043a","contributors":{"authors":[{"text":"Battistel, Maria","contributorId":179320,"corporation":false,"usgs":false,"family":"Battistel","given":"Maria","email":"","affiliations":[],"preferred":false,"id":663302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":663300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, William 0000-0001-5942-3102 wcevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5942-3102","contributorId":179319,"corporation":false,"usgs":true,"family":"Evans","given":"William","email":"wcevans@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":663301,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barbieri, Maurizio","contributorId":179321,"corporation":false,"usgs":false,"family":"Barbieri","given":"Maurizio","email":"","affiliations":[],"preferred":false,"id":663303,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70181016,"text":"70181016 - 2016 - Multireaction equilibrium geothermometry: A sensitivity analysis using data from the Lower Geyser Basin, Yellowstone National Park, USA","interactions":[],"lastModifiedDate":"2019-12-14T07:27:25","indexId":"70181016","displayToPublicDate":"2016-12-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Multireaction equilibrium geothermometry: A sensitivity analysis using data from the Lower Geyser Basin, Yellowstone National Park, USA","docAbstract":"<p><span>A multireaction chemical equilibria geothermometry (MEG) model applicable to high-temperature geothermal systems has been developed over the past three decades. Given sufficient data, this model provides more constraint on calculated reservoir temperatures than classical chemical geothermometers that are based on either the concentration of silica (SiO</span><sub>2</sub><span>), or the ratios of cation concentrations. A set of 23 chemical analyses from Ojo Caliente Spring and 22 analyses from other thermal features in the Lower Geyser Basin of Yellowstone National Park are used to examine the sensitivity of calculated reservoir temperatures using the GeoT MEG code (Spycher et al. 2013, 2014) to quantify the effects of solute concentrations, degassing, and mineral assemblages on calculated reservoir temperatures. Results of our analysis demonstrate that the MEG model can resolve reservoir temperatures within approximately ±15°C, and that natural variation in fluid compositions represents a greater source of variance in calculated reservoir temperatures than variations caused by analytical uncertainty (assuming ~5% for major elements). The analysis also suggests that MEG calculations are particularly sensitive to variations in silica concentration, the concentrations of the redox species Fe(II) and H</span><sub>2</sub><span>S, and that the parameters defining steam separation and CO</span><sub>2</sub><span> degassing from the liquid may be adequately determined by numerical optimization. Results from this study can provide guidance for future applications of MEG models, and thus provide more reliable information on geothermal energy resources during exploration.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2016.10.010","usgsCitation":"King, J.M., Hurwitz, S., Lowenstern, J.B., Nordstrom, D.K., and McCleskey, R.B., 2016, Multireaction equilibrium geothermometry: A sensitivity analysis using data from the Lower Geyser Basin, Yellowstone National Park, USA: Journal of Volcanology and Geothermal Research, v. 328, p. 105-114, https://doi.org/10.1016/j.jvolgeores.2016.10.010.","productDescription":"9 p.","startPage":"105","endPage":"114","ipdsId":"IP-080520","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":335171,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.42333984375,\n              43.40903821777055\n            ],\n            [\n              -109.62158203125,\n              43.40903821777055\n            ],\n            [\n              -109.62158203125,\n              45.251688256117646\n            ],\n            [\n              -111.42333984375,\n              45.251688256117646\n            ],\n            [\n              -111.42333984375,\n              43.40903821777055\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"328","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"589ffefbe4b099f50d3e0447","contributors":{"authors":[{"text":"King, Jonathan M. 0000-0003-0834-2200","orcid":"https://orcid.org/0000-0003-0834-2200","contributorId":179317,"corporation":false,"usgs":false,"family":"King","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":663297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":663295,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":663296,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nordstrom, D. 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Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":663298,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70182795,"text":"70182795 - 2016 - Quantifying chemical weathering rates along a precipitation gradient on Basse-Terre Island, French Guadeloupe: new insight from U-series isotopes in weathering rinds","interactions":[],"lastModifiedDate":"2017-03-01T11:28:13","indexId":"70182795","displayToPublicDate":"2016-12-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying chemical weathering rates along a precipitation gradient on Basse-Terre Island, French Guadeloupe: new insight from U-series isotopes in weathering rinds","docAbstract":"<p id=\"sp0005\">Inside soil and saprolite, rock fragments can form weathering clasts (alteration rinds surrounding an unweathered core) and these weathering rinds provide an excellent field system for investigating the initiation of weathering and long term weathering rates. Recently, uranium-series (U-series) disequilibria have shown great potential for determining rind formation rates and quantifying factors controlling weathering advance rates in weathering rinds. To further investigate whether the U-series isotope technique can document differences in long term weathering rates as a function of precipitation, we conducted a new weathering rind study on tropical volcanic Basse-Terre Island in the Lesser Antilles Archipelago. In this study, for the first time we characterized weathering reactions and quantified weathering advance rates in multiple weathering rinds across a steep precipitation gradient. Electron microprobe (EMP) point measurements, bulk major element contents, and U-series isotope compositions were determined in two weathering clasts from the Deshaies watershed with mean annual precipitation (MAP)&nbsp;=&nbsp;1800&nbsp;mm and temperature (MAT)&nbsp;=&nbsp;23&nbsp;°C. On these clasts, five core-rind transects were measured for locations with different curvature (high, medium, and low) of the rind-core boundary. Results reveal that during rind formation the fraction of elemental loss decreases in the order: Ca&nbsp;≈&nbsp;Na&nbsp;&gt;&nbsp;K&nbsp;≈&nbsp;Mg&nbsp;&gt;&nbsp;Si&nbsp;≈&nbsp;Al&nbsp;&gt;&nbsp;Zr&nbsp;≈&nbsp;Ti&nbsp;≈&nbsp;Fe. Such observations are consistent with the sequence of reactions after the initiation of weathering: specifically, glass matrix and primary minerals (plagioclase, pyroxene) weather to produce Fe oxyhydroxides, gibbsite and minor kaolinite.</p><p id=\"sp0010\">Uranium shows addition profiles in the rind due to the infiltration of U-containing soil pore water into the rind as dissolved U phases. U is then incorporated into the rind as Fe-Al oxides precipitate. Such processes lead to significant U-series isotope disequilibria in the rinds. This is the first time that multiple weathering clasts from the same watershed were analyzed for U-series isotope disequlibrian and show consistent results. The U-series disequilibria allowed for the determination of rind formation ages and weathering advance rates with a U-series mass balance model. The weathering advance rates generally decreased with decreasing curvature: ∼0.17&nbsp;±&nbsp;0.10&nbsp;mm/kyr for high curvature, ∼0.12&nbsp;±&nbsp;0.05&nbsp;mm/kyr for medium curvature, and ∼0.11&nbsp;±&nbsp;0.04, 0.08&nbsp;±&nbsp;0.03, 0.06&nbsp;±&nbsp;0.03&nbsp;mm/kyr for low curvature locations. The observed positive correlation between the curvature and the weathering rates is well supported by predictions of weathering models, i.e., that the curvature of the rind-core boundary controls the porosity creation and weathering advance rates at the clast scale.</p><p id=\"sp0015\">At the watershed scale, the new weathering advance rates derived on the low curvature transects for the relatively dry Deshaies watershed (average rate of 0.08&nbsp;mm/kyr; MAP&nbsp;=&nbsp;1800&nbsp;mm and MAT&nbsp;=&nbsp;23&nbsp;°C) are ∼60% slower than the rind formation rates previously determined in the much wetter Bras David watershed (∼0.18&nbsp;mm/kyr, low curvature transect; MAP&nbsp;=&nbsp;3400&nbsp;mm and MAT&nbsp;=&nbsp;23&nbsp;°C) also on Basse-Terre Island. Thus, a doubling of MAP roughly correlates with a doubling of weathering advance rate. The new rind study highlights the effect of precipitation on weathering rates over a time scale of ∼100&nbsp;kyr. Weathering rinds are thus a suitable system for investigating long-term chemical weathering across environmental gradients, complementing short-term riverine solute fluxes.</p>","language":"English","publisher":"Elsevier ","doi":"10.1016/j.gca.2016.08.040","usgsCitation":"Engel, J.M., May, L., Sak, P.B., Gaillardet, J., Ren, M., Engle, M.A., and Brantley, S.L., 2016, Quantifying chemical weathering rates along a precipitation gradient on Basse-Terre Island, French Guadeloupe: new insight from U-series isotopes in weathering rinds: Geochimica et Cosmochimica Acta, v. 195, p. 29-67, https://doi.org/10.1016/j.gca.2016.08.040.","productDescription":"39 p. 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