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,{"id":70203057,"text":"fs20193024 - 2019 - Remote sensing of river flow in Alaska—New technology to improve safety and expand coverage of USGS streamgaging","interactions":[],"lastModifiedDate":"2019-05-07T10:15:04","indexId":"fs20193024","displayToPublicDate":"2019-05-06T12:49:17","publicationYear":"2019","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":"2019-3024","displayTitle":"Remote Sensing of Streamflow in Alaska Rivers—New Technology to Improve Safety and Expand Coverage of USGS Streamgaging","title":"Remote sensing of river flow in Alaska—New technology to improve safety and expand coverage of USGS streamgaging","docAbstract":"<p>The U.S. Geological Survey monitors water level (water surface elevation relative to an arbitrary datum) and measures streamflow in Alaska rivers to compute and compile river flow records for use by water resource planners, engineers, and land managers to design infrastructure, manage floodplains, and protect life, property, and aquatic resources. Alaska has over 800,000 miles of rivers including the Yukon River, the third longest river in the United States. These rivers are home to rare and important ecosystems and are used for recreation, hydropower generation, commercial fishing, and transportation. River flow measurements are essential for wise and safe development and use of Alaska rivers.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193024","usgsCitation":"Conaway, J.S., Eggleston, J., Legleiter, C.J., Jones, J.W., Kinzel, P.J., and Fulton, J.W., 2019, Remote sensing of river flow in Alaska—New technology to improve safety and expand coverage of USGS streamgaging: U.S. Geological Survey Fact Sheet 2019-3024, 4 p., https://doi.org/10.3133/fs20193024.","productDescription":"4 p.","onlineOnly":"Y","ipdsId":"IP-101572","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science 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<a href=\"https://www.usgs.gov/centers/asc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/\">Alaska Science Center</a><br>U.S. Geological Survey<br>4210 University Drive<br>Anchorage, Alaska 99508</p>","tableOfContents":"<ul><li>Why Measuring River Flow in Alaska Is Important</li><li>How Streamflow Is Measured Today</li><li>How Remote Sensing Can Improve Flow Measurement</li><li>New Remote Sensing Technology</li><li>The Future of Remote Sensing Streamgages in Alaska</li><li>References</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-05-06","noUsgsAuthors":false,"publicationDate":"2019-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Conaway, Jeff 0000-0002-3036-592X","orcid":"https://orcid.org/0000-0002-3036-592X","contributorId":214226,"corporation":false,"usgs":true,"family":"Conaway","given":"Jeff","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":760979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eggleston, John R. 0000-0001-6633-3041 jegglest@usgs.gov","orcid":"https://orcid.org/0000-0001-6633-3041","contributorId":3068,"corporation":false,"usgs":true,"family":"Eggleston","given":"John","email":"jegglest@usgs.gov","middleInitial":"R.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":760981,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, John 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":760982,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":760983,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fulton, John W. 0000-0002-5335-0720 jwfulton@usgs.gov","orcid":"https://orcid.org/0000-0002-5335-0720","contributorId":2298,"corporation":false,"usgs":true,"family":"Fulton","given":"John","email":"jwfulton@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760984,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70204999,"text":"70204999 - 2019 - Clustering and ensembling approaches to support surrogate-based species management","interactions":[],"lastModifiedDate":"2019-08-28T12:00:53","indexId":"70204999","displayToPublicDate":"2019-05-06T11:52:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Clustering and ensembling approaches to support surrogate-based species management","docAbstract":"<div id=\"ddi12933-sec-0001\" class=\"article-section__content\"><h3 class=\"article-section__sub-title section1\">Aim</h3><p>Surrogate species can provide an efficient mechanism for biodiversity conservation if they encompass the needs or indicate the status of a broader set of species. When species that are the focus of ongoing management efforts act as effective surrogates for other species, these incidental surrogacy benefits lead to additional efficiency. Assessing surrogate relationships often relies on grouping species by distributional patterns or by species traits, but there are few approaches for integrating outputs from multiple methods into summaries of surrogate relationships that can inform decision‐making.</p></div><div id=\"ddi12933-sec-0002\" class=\"article-section__content\"><h3 class=\"article-section__sub-title section1\">Location</h3><p>Prairie Pothole Region of the United States.</p></div><div id=\"ddi12933-sec-0003\" class=\"article-section__content\"><h3 class=\"article-section__sub-title section1\">Methods</h3><p>We evaluated how well five upland‐nesting waterfowl species that are a focus of management may act as surrogates for other wetland‐dependent birds. We grouped species by their patterns of relative abundance at multiple scales and by different sets of traits, and evaluated whether empirical validation could effectively select among the resulting species groupings. We used an ensemble approach to integrate the different estimated relationships among species and visualized the ensemble as a network diagram.</p></div><div id=\"ddi12933-sec-0004\" class=\"article-section__content\"><h3 class=\"article-section__sub-title section1\">Results</h3><p>Estimated relationships among species were sensitive to methodological decisions, with qualitatively different relationships arising from different approaches. An ensemble provided an effective tool for integrating across different estimates and highlighted the Sora (<i>Porzana carolina</i>), American Avocet (<i>Recurvirostra Americana</i>) and Black Tern (<i>Chlidonias niger</i>) as the non‐waterfowl species expected to show the strongest incidental surrogacy relationships with the waterfowl that are the focus of ongoing management.</p></div><div id=\"ddi12933-sec-0005\" class=\"article-section__content\"><h3 class=\"article-section__sub-title section1\">Main conclusions</h3><p>An ensemble approach integrated multiple estimates of surrogate relationship strength among species and allowed for intuitive visualizations within a network. By accounting for methodological uncertainty while providing a simple continuous metric of surrogacy, our approach is amenable to both further validation and integration into decision‐making.</p></div>","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12933","usgsCitation":"Sofaer, H., Flather, C.H., Skagen, S., Steen, V., and Noon, B.R., 2019, Clustering and ensembling approaches to support surrogate-based species management: Diversity and Distributions, v. 25, no. 8, p. 1246-1258, https://doi.org/10.1111/ddi.12933.","productDescription":"13 p.","startPage":"1246","endPage":"1258","ipdsId":"IP-091141","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467641,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12933","text":"Publisher Index Page"},{"id":437472,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZMIATF","text":"USGS data release","linkHelpText":"Abundance of wetland-dependent birds at Breeding Bird Survey routes and associated land cover and climate information"},{"id":367009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366993,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1111/ddi.12933"}],"country":"Canada, United States","state":"Alberta, Iowa, Manitoba, Minnesota, Montana, North Dakota, Saskatchewan, South Dakota, ","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.4716796875,\n              42.09822241118974\n            ],\n            [\n              -93.515625,\n              44.465151013519616\n            ],\n            [\n              -95.2734375,\n              46.9502622421856\n            ],\n            [\n              -98.61328125,\n              51.20688339486559\n            ],\n            [\n              -101.6015625,\n              52.72298552457069\n            ],\n            [\n              -105.9521484375,\n              55.10351605801967\n            ],\n            [\n              -115.75195312499999,\n              55.727110085045986\n            ],\n            [\n              -114.47753906249999,\n              49.439556958940855\n            ],\n            [\n              -112.8515625,\n              48.545705491847464\n            ],\n            [\n              -101.6455078125,\n              47.81315451752768\n            ],\n            [\n              -99.7998046875,\n              44.08758502824516\n            ],\n            [\n              -93.515625,\n              41.934976500546604\n            ],\n            [\n              -93.4716796875,\n              42.09822241118974\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Sofaer, Helen 0000-0002-9450-5223","orcid":"https://orcid.org/0000-0002-9450-5223","contributorId":216681,"corporation":false,"usgs":true,"family":"Sofaer","given":"Helen","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":769499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flather, Curtis H.","contributorId":177590,"corporation":false,"usgs":false,"family":"Flather","given":"Curtis","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":769500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skagen, Susan K. 0000-0002-6744-1244 skagens@usgs.gov","orcid":"https://orcid.org/0000-0002-6744-1244","contributorId":167829,"corporation":false,"usgs":true,"family":"Skagen","given":"Susan K.","email":"skagens@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":769502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steen, Valerie 0000-0002-1417-8139 vsteen@usgs.gov","orcid":"https://orcid.org/0000-0002-1417-8139","contributorId":218530,"corporation":false,"usgs":true,"family":"Steen","given":"Valerie","email":"vsteen@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":769503,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Noon, Barry R.","contributorId":198981,"corporation":false,"usgs":false,"family":"Noon","given":"Barry","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":769501,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70228029,"text":"70228029 - 2019 - Economic activity generated by angling at small South Dakota lakes","interactions":[],"lastModifiedDate":"2022-02-03T16:36:02.688715","indexId":"70228029","displayToPublicDate":"2019-05-06T10:30:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Economic activity generated by angling at small South Dakota lakes","docAbstract":"<p><span>Many agencies overlook the values affiliated with relatively small fisheries throughout their jurisdictions. The economic activity associated with angling visits to seven small fisheries in South Dakota was estimated using IMPLAN software. The average economic activity associated with fishing at individual lakes in 2016 was US\\$35,369/lake, which was estimated to support an average of 0.48 jobs and create \\$5,572 in tax revenues. We observed that lakes with the highest proportions of ice fishing pressure also had the greatest associated economic activity, even though several of these had the lowest overall fishing pressure throughout the year. In addition to economic activity, the zone of influence for each lake was estimated and compared with the proximity to urban centers. The inclusion of economic information from small fisheries may play an important role in influencing key strategic planning efforts by management agencies and in estimating the overall economic importance of angling on broader scales.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/fsh.10261","usgsCitation":"Sundmark, A., and Gigliotti, L.M., 2019, Economic activity generated by angling at small South Dakota lakes: Fisheries Magazine, v. 44, no. 7, p. 321-330, https://doi.org/10.1002/fsh.10261.","productDescription":"10 p.","startPage":"321","endPage":"330","ipdsId":"IP-099884","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South 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,{"id":70203365,"text":"70203365 - 2019 - The ecological uncertainty of wildfire fuel breaks: Examples from the sagebrush steppe","interactions":[],"lastModifiedDate":"2023-03-27T22:37:23.109483","indexId":"70203365","displayToPublicDate":"2019-05-06T09:56:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"The ecological uncertainty of wildfire fuel breaks: Examples from the sagebrush steppe","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Fuel breaks are increasingly being implemented at broad scales (100s to 10,000s of square kilometers) in fire‐prone landscapes globally, yet there is little scientific information available regarding their ecological effects (eg habitat fragmentation). Fuel breaks are designed to reduce flammable vegetation (ie fuels), increase the safety and effectiveness of fire‐suppression operations, and ultimately decrease the extent of wildfire spread. In sagebrush (<i>Artemisia</i><span>&nbsp;</span>spp) ecosystems of the western US, installation of extensive linear fuel breaks is also intended to protect habitat, especially for the greater sage‐grouse (<i>Centrocercus urophasianus</i>), a species that is sensitive to habitat fragmentation. We examine this apparent contradiction in the Great Basin region, where invasive annual grasses have increased wildfire activity and threaten sagebrush ecosystems. Given uncertain outcomes, we examine how implementation of fuel breaks might (1) directly alter ecosystems, (2) create edges and edge effects, (3) serve as vectors for wildlife movement and plant invasions, (4) fragment otherwise contiguous sagebrush landscapes, and (5) benefit from scientific investigation intended to disentangle their ecological costs and benefits.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/fee.2045","usgsCitation":"Shinneman, D.J., Germino, M., Pilliod, D.S., Aldridge, C.L., Vaillant, N., and Coates, P.S., 2019, The ecological uncertainty of wildfire fuel breaks: Examples from the sagebrush steppe: Frontiers in Ecology and the Environment, v. 17, no. 5, p. 279-288, https://doi.org/10.1002/fee.2045.","productDescription":"10 p.","startPage":"279","endPage":"288","ipdsId":"IP-099096","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science 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Center","active":true,"usgs":true}],"preferred":true,"id":762330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":762332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vaillant, Nicole","contributorId":140987,"corporation":false,"usgs":false,"family":"Vaillant","given":"Nicole","affiliations":[{"id":13638,"text":"Western Wildland environmental threat assessment Center","active":true,"usgs":false}],"preferred":false,"id":762333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":762334,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203756,"text":"70203756 - 2019 - Xenon hydrate as an analogue of methane hydrate in geologic systems out of thermodynamic equilibrium","interactions":[],"lastModifiedDate":"2019-06-18T12:24:39","indexId":"70203756","displayToPublicDate":"2019-05-06T09:06:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Xenon hydrate as an analogue of methane hydrate in geologic systems out of thermodynamic equilibrium","docAbstract":"<p><span>Methane hydrate occurs naturally under pressure and temperature conditions that are not straightforward to replicate experimentally. Xenon has emerged as an attractive laboratory alternative to methane for studying hydrate formation and dissociation in multiphase systems, given that it forms hydrates under milder conditions. However, building reliable analogies between the two hydrates requires systematic comparisons, which are currently lacking. We address this gap by developing a theoretical and computational model of gas hydrates under equilibrium and nonequilibrium conditions. We first compare equilibrium phase behaviors of the Xe·H</span><sub>2</sub><span>O and CH</span><sub>4</sub><span>·H</span><sub>2</sub><span>O systems by calculating their isobaric phase diagram, and then study the nonequilibrium kinetics of interfacial hydrate growth using a phase field model. Our results show that Xe·H</span><sub>2</sub><span>O is a good experimental analog to CH</span><sub>4</sub><span>·H</span><sub>2</sub><span>O, but there are key differences to consider. In particular, the aqueous solubility of xenon is altered by the presence of hydrate, similar to what is observed for methane; but xenon is consistently less soluble than methane. Xenon hydrate has a wider nonstoichiometry region, which could lead to a thicker hydrate layer at the gas‐liquid interface when grown under similar kinetic forcing conditions. For both systems, our numerical calculations reveal that hydrate nonstoichiometry coupled with hydrate formation dynamics leads to a compositional gradient across the hydrate layer, where the stoichiometric ratio increases from the gas‐facing side to the liquid‐facing side. Our analysis suggests that accurate composition measurements could be used to infer the kinetic history of hydrate formation in natural settings where gas is abundant.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GC008250","usgsCitation":"Fu, X., Waite, W., Cueto-Felgueroso, L., and Juanes, R., 2019, Xenon hydrate as an analogue of methane hydrate in geologic systems out of thermodynamic equilibrium: Geochemistry, Geophysics, Geosystems, v. 20, no. 5, p. 2462-2472, https://doi.org/10.1029/2019GC008250.","productDescription":"11 p.","startPage":"2462","endPage":"2472","ipdsId":"IP-104816","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":460389,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gc008250","text":"Publisher Index Page"},{"id":364547,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"5","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Fu, Xiaojing 0000-0001-7120-704X","orcid":"https://orcid.org/0000-0001-7120-704X","contributorId":216142,"corporation":false,"usgs":false,"family":"Fu","given":"Xiaojing","email":"","affiliations":[],"preferred":false,"id":763987,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waite, William F. 0000-0002-9436-4109 wwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-9436-4109","contributorId":625,"corporation":false,"usgs":true,"family":"Waite","given":"William F.","email":"wwaite@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":763988,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cueto-Felgueroso, Luis","contributorId":216143,"corporation":false,"usgs":false,"family":"Cueto-Felgueroso","given":"Luis","email":"","affiliations":[],"preferred":false,"id":763989,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Juanes, Ruben","contributorId":216144,"corporation":false,"usgs":false,"family":"Juanes","given":"Ruben","email":"","affiliations":[],"preferred":false,"id":763990,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227778,"text":"70227778 - 2019 - Activity patterns and temporal predator avoidance of white-tailed deer (Odocoileus virginianus) during the fawning season","interactions":[],"lastModifiedDate":"2022-01-31T14:57:59.405434","indexId":"70227778","displayToPublicDate":"2019-05-06T08:53:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2271,"text":"Journal of Ethology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Activity patterns and temporal predator avoidance of white-tailed deer (<i>Odocoileus virginianus</i>) during the fawning season","title":"Activity patterns and temporal predator avoidance of white-tailed deer (Odocoileus virginianus) during the fawning season","docAbstract":"<p><span>In the presence of a predator, prey may alter their temporal activity patterns to reduce the risk of an encounter that may induce injury or death. Prey perception of predation risk and antipredator responses may increase in the presence of dependent offspring. We conducted a camera trap study during summer 2015 in North Carolina and Tennessee, USA to evaluate temporal avoidance of a predator (coyote&nbsp;</span><i>Canis latrans</i><span>) by white-tailed deer (</span><i>Odocoileus virginianus</i><span>). We analyzed activity patterns of bucks, does, and nursery groups (i.e., groups that included fawns) relative to those of coyotes to determine the coefficient of overlap (Δ) using a kernel density estimator. We found that bucks and does had similar Δ with coyotes [Δ</span><sub>1</sub><span> = 0.729 (0.629–0.890) and Δ</span><sub>1</sub><span> = 0.686 (0.558–0.816, respectively] and exhibited crepuscular activity patterns comparable to those of coyotes. However, nursery groups displayed a dramatically different activity pattern: unimodal activity was concentrated in the middle of the day with little overlap with coyote activity [Δ</span><sub>1</sub><span> = 0.362 (0.176–0.491)]. Because adult deer are rarely prey for coyotes, whereas fawns are common prey during summer, the shift in activity patterns of nursery groups demonstrates a behavioral shift likely aimed at avoiding coyote predation on fawns.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s10164-019-00599-1","usgsCitation":"Higdon, S., Diggins, C., Cherry, M.J., and Ford, W., 2019, Activity patterns and temporal predator avoidance of white-tailed deer (Odocoileus virginianus) during the fawning season: Journal of Ethology, v. 37, p. 283-290, https://doi.org/10.1007/s10164-019-00599-1.","productDescription":"8 p.","startPage":"283","endPage":"290","ipdsId":"IP-092664","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467643,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/98837","text":"External Repository"},{"id":395134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.9814453125,\n              36.59788913307022\n            ],\n            [\n              -88.06640625,\n              36.70365959719456\n            ],\n            [\n              -89.56054687499999,\n              36.63316209558658\n            ],\n            [\n              -90.17578124999999,\n              35.10193405724606\n            ],\n            [\n              -84.1552734375,\n              35.10193405724606\n            ],\n            [\n              -80.9033203125,\n              34.95799531086792\n            ],\n            [\n              -79.89257812499999,\n              34.84987503195418\n            ],\n            [\n              -78.3984375,\n              33.87041555094183\n            ],\n            [\n              -77.0361328125,\n              33.394759218577995\n            ],\n            [\n              -75.1904296875,\n              35.42486791930558\n            ],\n            [\n              -75.9814453125,\n              36.59788913307022\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"37","noUsgsAuthors":false,"publicationDate":"2019-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Higdon, Summer","contributorId":272597,"corporation":false,"usgs":false,"family":"Higdon","given":"Summer","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":832203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diggins, Corinne A.","contributorId":270521,"corporation":false,"usgs":false,"family":"Diggins","given":"Corinne A.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":832204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cherry, Michael J.","contributorId":270616,"corporation":false,"usgs":false,"family":"Cherry","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":832205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":832202,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202241,"text":"fs20193001 - 2019 - The use of national datasets to produce an average annual water budget for the Mississippi Alluvial Plain, 2000–13","interactions":[],"lastModifiedDate":"2019-05-07T10:09:35","indexId":"fs20193001","displayToPublicDate":"2019-05-06T07:01:22","publicationYear":"2019","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":"2019-3001","displayTitle":"The Use of National Datasets to Produce an Average Annual Water Budget for the Mississippi Alluvial Plain, 2000–13","title":"The use of national datasets to produce an average annual water budget for the Mississippi Alluvial Plain, 2000–13","docAbstract":"<h1>Overview</h1><p>Water is a critically important resource for the Mississippi Alluvial Plain (MAP) region, supporting a multibillion-dollar agricultural industry. There are concerns that continued withdrawals of groundwater for irrigation may decrease future water supplies. The U.S. Geological Survey has a history of conducting research in the MAP region and recently began an effort to integrate multiple monitoring analyses and modeling to characterize and project water availability for the region. Here, we utilize the data and results from existing national-scale datasets and refine them to create long-term steady state annual water budgets at a regional scale (the MAP) from 2000 to 2013. The water budget is described and mapped as the distribution of available water into three components: (1) evapotranspiration (65 percent); (2) quickflow runoff to streams (27 percent); and (3) groundwater recharge (8 percent). We also present a comparison of long-term recharge rates with groundwater extraction rates. These results will be useful as a starting point for the water budget and evaluations of future water availability in the MAP.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193001","usgsCitation":"Reitz, M., and Kress, W.H., The use of national datasets to produce an average annual water budget for the Mississippi Alluvial Plain, 2000–13: U.S. Geological Survey Fact Sheet 2019–3001, 4 p., https://doi.org/10.3133/fs20193001.","productDescription":"Report: 4 p.; Data Release","numberOfPages":"4","onlineOnly":"Y","ipdsId":"IP-095792","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":363443,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3001/coverthb.jpg"},{"id":363444,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3001/fs20193001.pdf","text":"Report","size":"2.64 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3001"},{"id":363447,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7PN93P0","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Annual estimates of recharge, quick-flow runoff, and ET for the contiguous US using empirical regression equations, 2000–2013"}],"country":"United States","state":"Arkansas, Kentucky, Louisiana, Mississippi, Missouri, Texas","otherGeospatial":"Mississippi Alluvial Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.3173828125,\n              29.075375179558346\n            ],\n            [\n              -87.5830078125,\n              29.075375179558346\n            ],\n            [\n              -87.5830078125,\n              37.38761749978395\n            ],\n            [\n              -95.3173828125,\n              37.38761749978395\n            ],\n            [\n              -95.3173828125,\n              29.075375179558346\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/lmg-water\" href=\"https://www.usgs.gov/centers/lmg-water\">Lower Mississippi-Gulf Water Science Center</a> <br>U.S. Geological Survey<br>640 Grassmere Park Drive <br>Nashville, TN 37211</p>","tableOfContents":"<ul><li>Overview</li><li>Introduction</li><li>Water Budget Estimates</li><li>Water-Use Data</li><li>Average Water Budgets for 2000–13</li><li>Recharge to Extraction Rate Comparison</li><li>Conclusions and Outlook</li><li>Acknowledgments</li><li>References</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-05-06","noUsgsAuthors":false,"publicationDate":"2019-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Reitz, Meredith 0000-0001-9519-6103 mreitz@usgs.gov","orcid":"https://orcid.org/0000-0001-9519-6103","contributorId":196694,"corporation":false,"usgs":true,"family":"Reitz","given":"Meredith","email":"mreitz@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":757451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kress, Wade 0000-0002-6833-028X","orcid":"https://orcid.org/0000-0002-6833-028X","contributorId":203539,"corporation":false,"usgs":true,"family":"Kress","given":"Wade","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757452,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203497,"text":"70203497 - 2019 - Spatial variation in aquatic invertebrate and riparian songbird mercury exposure across a river-reservoir system with a legacy of mercury contamination","interactions":[],"lastModifiedDate":"2023-03-27T22:26:01.232365","indexId":"70203497","displayToPublicDate":"2019-05-05T12:56:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial variation in aquatic invertebrate and riparian songbird mercury exposure across a river-reservoir system with a legacy of mercury contamination","docAbstract":"Mercury (Hg) loading and methylation in aquatic systems causes a variety of deleterious effects for fish and wildlife populations. Relatively little research has focused on Hg movement into riparian food webs and how this is modulated by habitat characteristics. This study characterized differences in Hg exposure in aquatic invertebrates and riparian songbirds across a large portion of the Willamette River system in western Oregon, starting at a Hg-contaminated Superfund site in the headwaters (Black Butte Hg Mine) and including a reservoir known to methylate Hg (Cottage Grove Reservoir), all downstream reaches (Coast Fork and Willamette River) and off-channel wetland complexes (Willamette Valley National Wildlife Refuge Complex). After accounting for year, date, and site differences in a mixed effects model, MeHg concentrations in aquatic invertebrates varied spatially among habitat categories and invertebrate orders. Similarly, THg in songbird blood varied by among habitat categories and bird species. The highest Hg concentrations occurred near the Hg mine, but Hg did not decline linearly with distance from the source of contamination. Birds were consistently elevated in Hg in habitats commonly associated with enhanced MeHg production, such as backwater or wetlands. We found a positive but weak correlation between aquatic invertebrate MeHg concentrations and songbird THg concentrations on a site-specific basis. Our findings suggest that Hg risk to riparian songbirds can extend beyond point-source contaminated areas, highlighting the importance of assessing exposure in surrounding habitats where methylmercury production may be elevated, such as reservoirs and wetlands.","language":"English","publisher":"Springer","doi":"10.1007/s10646-019-02043-z","usgsCitation":"Jackson, A., Eagles-Smith, C.A., and Emery, C., 2019, Spatial variation in aquatic invertebrate and riparian songbird mercury exposure across a river-reservoir system with a legacy of mercury contamination: Ecotoxicology, v. 29, p. 1195-1204, https://doi.org/10.1007/s10646-019-02043-z.","productDescription":"10 p.","startPage":"1195","endPage":"1204","ipdsId":"IP-101795","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":363955,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Center","active":false,"usgs":true}],"preferred":true,"id":762875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Emery, Colleen 0000-0002-1208-3224","orcid":"https://orcid.org/0000-0002-1208-3224","contributorId":215534,"corporation":false,"usgs":true,"family":"Emery","given":"Colleen","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":762877,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203477,"text":"70203477 - 2019 - Connectivity of mule deer (Odocoileus hemionus) populations in southern California: A genetic survey of a mobile ungulate in a highly fragmented urban landscape","interactions":[],"lastModifiedDate":"2019-05-16T09:38:09","indexId":"70203477","displayToPublicDate":"2019-05-04T09:37:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Connectivity of mule deer (Odocoileus hemionus) populations in southern California: A genetic survey of a mobile ungulate in a highly fragmented urban landscape","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\"><p id=\"Par1\" class=\"Para\">Urbanization is a substantial force shaping the genetic and demographic structure of natural populations. Urban development and major highways can limit animal movements, and thus gene flow, even in highly mobile species. Characterizing varying species responses to human activity and fragmentation is important for maintaining genetic continuity in wild animals and for preserving biodiversity. As one of the only common and wide-ranging large wild herbivores in much of urban North America, deer play an important ecological role in urban ecosystems, yet the genetic impacts of development on deer are not well known.</p></div>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10980-019-00824-9","usgsCitation":"Fraser, D., Ironside, K.E., Wayne, R.K., and Boydston, E.E., 2019, Connectivity of mule deer (Odocoileus hemionus) populations in southern California: A genetic survey of a mobile ungulate in a highly fragmented urban landscape: Landscape Ecology, p. 1-19, https://doi.org/10.1007/s10980-019-00824-9.","productDescription":"19 p.","startPage":"1","endPage":"19","ipdsId":"IP-094166","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":363947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363937,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007%2Fs10980-019-00824-9"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Fraser, Devaughn","contributorId":215604,"corporation":false,"usgs":false,"family":"Fraser","given":"Devaughn","email":"","affiliations":[{"id":39294,"text":"Department of Ecology and Evolutionary Biology, University of California, Los Angeles, USA","active":true,"usgs":false}],"preferred":false,"id":762795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ironside, Kirsten E. 0000-0003-1166-3793 kironside@usgs.gov","orcid":"https://orcid.org/0000-0003-1166-3793","contributorId":3379,"corporation":false,"usgs":true,"family":"Ironside","given":"Kirsten","email":"kironside@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":762796,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wayne, Robert K.","contributorId":80948,"corporation":false,"usgs":false,"family":"Wayne","given":"Robert","email":"","middleInitial":"K.","affiliations":[{"id":7081,"text":"University of California - Los Angeles","active":true,"usgs":false}],"preferred":false,"id":762797,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boydston, Erin E. 0000-0002-8452-835X eboydston@usgs.gov","orcid":"https://orcid.org/0000-0002-8452-835X","contributorId":1705,"corporation":false,"usgs":true,"family":"Boydston","given":"Erin","email":"eboydston@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762798,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203347,"text":"70203347 - 2019 - Assessing water-quality changes in U.S. rivers at multiple geographic scales using results from probabilistic and targeted monitoring","interactions":[],"lastModifiedDate":"2019-05-07T08:59:44","indexId":"70203347","displayToPublicDate":"2019-05-04T08:58:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Assessing water-quality changes in U.S. rivers at multiple geographic scales using results from probabilistic and targeted monitoring","docAbstract":"<p id=\"Par1\" class=\"Para\">Two commonly used approaches for water quality monitoring are probabilistic and targeted. In a probabilistic approach like the US Environmental Protection Agency’s National Rivers and Streams Assessment, monitoring sites are selected using a statistically representative approach. In a targeted approach like that used by many monitoring organizations, monitoring sites are chosen individually to answer specific questions. One important goal of both approaches is documenting long-term changes in water quality. Here, we compare chloride change results in US rivers and streams between the early 2000s and early 2010s from both approaches. The probabilistic approach provided an unbiased representation of change in all US rivers and streams, but was designed to measure low-streamflow conditions within a spring/summer index period during periodic survey years. The targeted approach was focused on larger, more developed watersheds but samples were collected frequently throughout the assessment period in different seasons and streamflows. The probabilistic results showed a small decrease in chloride concentrations in rivers and streams with the lowest concentrations, but no consistent increase or decrease in the remainder. The increased granularity of the targeted results showed that there was, in fact, a mix of changes occurring, with increases at 132 sites, decreases at 112 sites, and relatively stable conditions at 55 sites. The combined results suggest that chloride is not responding to a widespread, common driver across the USA and that management of chloride would be most effective when targeted regionally or locally.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10661-019-7481-5","usgsCitation":"Sprague, L.A., Mitchell, R., Pollard, A.I., and Falcone, J.A., 2019, Assessing water-quality changes in U.S. rivers at multiple geographic scales using results from probabilistic and targeted monitoring: Environmental Monitoring and Assessment, v. 191, no. 348, 12 p., https://doi.org/10.1007/s10661-019-7481-5.","productDescription":"12 p.","ipdsId":"IP-092845","costCenters":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467644,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-019-7481-5","text":"Publisher 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,{"id":70203607,"text":"70203607 - 2019 - Drift and beaching patterns of sea otter carcasses and car tire dummies","interactions":[],"lastModifiedDate":"2019-05-24T08:12:22","indexId":"70203607","displayToPublicDate":"2019-05-03T14:23:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2671,"text":"Marine Mammal Science","active":true,"publicationSubtype":{"id":10}},"title":"Drift and beaching patterns of sea otter carcasses and car tire dummies","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Enumerating and examining marine animal carcasses is important for quantifying mortality rates and determining causes of mortality. Drifter experiments are one tool for estimating at‐sea mortality and determining factors affecting carcass drift, but they require validation to confirm drifters accurately replicate the drift characteristics of the species of interest. The goal of this study was to determine whether dummies constructed from car tires were appropriate substitutes for sea otter (<i>Enhydra lutris</i>) carcasses. We released 33 sets of targets (carcasses and dummies) in a one‐to‐one ratio on 15 randomly chosen dates between January 1995 and December 1996. They were telemetrically tracked until they beached or were no longer detected. Beaching rates were similar between carcasses (69.7%) and dummies (66.7%). Our results indicated that there was no statistical difference in the drifting pattern, as measured by distance traveled and location, between carcasses and dummies, and that cumulative wind speed, days since release, and release month were predictors of drift patterns. We concluded that dummies constructed from car tires do imitate sea otter carcasses and could be used to estimate at‐sea mortality of sea otters, or, if released during or after an oil spill, could be used to direct search efforts for carcasses.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/mms.12609","usgsCitation":"Young, C., Eguchi, T., Ames, J.A., Staedler, M.M., Hatfield, B.B., Harris, M., and Golson-Fisch, E.A., 2019, Drift and beaching patterns of sea otter carcasses and car tire dummies: Marine Mammal Science, 15 p., https://doi.org/10.1111/mms.12609.","productDescription":"15 p.","ipdsId":"IP-102221","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":364126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Monterey Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.19131469726561,\n              36.45000844447082\n            ],\n            [\n              -121.70791625976561,\n              36.45000844447082\n            ],\n            [\n              -121.70791625976561,\n              37.046408899699564\n            ],\n            [\n              -122.19131469726561,\n              37.046408899699564\n            ],\n            [\n              -122.19131469726561,\n              36.45000844447082\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Young, Colleen","contributorId":179103,"corporation":false,"usgs":true,"family":"Young","given":"Colleen","email":"","affiliations":[],"preferred":true,"id":763253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eguchi, Tomoharu","contributorId":167037,"corporation":false,"usgs":false,"family":"Eguchi","given":"Tomoharu","email":"","affiliations":[{"id":7054,"text":"NOAA/NMFS, Silver Spring, MD","active":true,"usgs":false}],"preferred":false,"id":763254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ames, Jack A.","contributorId":127458,"corporation":false,"usgs":false,"family":"Ames","given":"Jack","email":"","middleInitial":"A.","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":763255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staedler, Michelle M. 0000-0002-1101-6580","orcid":"https://orcid.org/0000-0002-1101-6580","contributorId":213742,"corporation":false,"usgs":false,"family":"Staedler","given":"Michelle","email":"","middleInitial":"M.","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":763256,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hatfield, Brian B. 0000-0003-1432-2660 brian_hatfield@usgs.gov","orcid":"https://orcid.org/0000-0003-1432-2660","contributorId":147917,"corporation":false,"usgs":true,"family":"Hatfield","given":"Brian","email":"brian_hatfield@usgs.gov","middleInitial":"B.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":763252,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harris, Mike","contributorId":215857,"corporation":false,"usgs":false,"family":"Harris","given":"Mike","email":"","affiliations":[{"id":39320,"text":"California Department of Fish and Wildlife, Office of Spill Prevention and Response, Marine Wildlife Veterinary Care and Research Center","active":true,"usgs":false}],"preferred":false,"id":763257,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Golson-Fisch, Emily A","contributorId":215858,"corporation":false,"usgs":false,"family":"Golson-Fisch","given":"Emily","email":"","middleInitial":"A","affiliations":[{"id":6751,"text":"Moss Landing Marine Laboratories","active":true,"usgs":false}],"preferred":false,"id":763258,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70203329,"text":"ofr20191052 - 2019 - Preliminary stage and streamflow data at selected U.S. Geological Survey streamgages in New England for the floods of April 2019","interactions":[],"lastModifiedDate":"2019-05-07T10:20:57","indexId":"ofr20191052","displayToPublicDate":"2019-05-03T13:57:08","publicationYear":"2019","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":"2019-1052","displayTitle":"Preliminary Stage and Streamflow Data at Selected U.S. Geological Survey Streamgages in New England for the Floods of April 2019","title":"Preliminary stage and streamflow data at selected U.S. Geological Survey streamgages in New England for the floods of April 2019","docAbstract":"<p>The combination of rainfall and snowmelt in northern New England and rainfall in southern New England resulted in minor to major flooding from April 15 to 24, 2019, according to stage and streamflow data collected at 63 selected U.S. Geological Survey (USGS) streamgages. A typical USGS streamgage measures and records stream stage and estimates streamflow based on a relation (rating curve) of discrete measurements of streamflow and the recorded stage. USGS hydrographers were deployed during and after these storms to measure the streamflow of the flooded rivers and confirm streamgage rating curves.</p><p>Preliminary Data Indicate... <br></p><ul><li>The National Weather Service flood stage was reached at 36 USGS streamgages selected for monitoring; the minor flood stage category was reached at 30 streamgages, moderate flood stage category at 5 streamgages, and major flood stage category at 1 streamgage.</li><li>Peak streamflows for the period of record occurred at three streamgages in Maine. Of these, the peak at the St. John River at Ninemile Bridge, Maine streamgage was the highest in its 67-year period of record.</li><li>A total of 30 streamgages—15 streamgages in Maine, 9 in Vermont, 4 in New Hampshire, and 1 each in Connecticut and Massachusetts—recorded peak streamflows within the top 10 for their period of record. Two of these streamgages, the Clyde River at Newport, Vermont and the Saco River at Cornish, Maine, have periods of record greater than 100 years.</li><li>In total, USGS hydrographers made more than 210 streamflow measurements during the April 15–24 floods in New England.<br></li></ul>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191052","usgsCitation":"Kiah, R.G, Smith, B.A. and Stasulis, N.W., 2019, Preliminary stage and streamflow data at selected U.S. Geological Survey streamgages in New England for the floods of April 2019: U.S. Geological Survey Open-File Report 2019–1051, 8 p., https://doi.org/10.3133/ofr20191052.","productDescription":"8 p.","numberOfPages":"8","onlineOnly":"Y","ipdsId":"IP-107824","costCenters":[{"id":466,"text":"New England Water Science 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 \"}}]}","contact":"<p><a data-mce-href=\"mailto:dc_nweng@usgs.gov\" href=\"mailto:dc_nweng@usgs.gov\" target=\"_blank\" rel=\"noopener\">Director</a>,<br><a data-mce-href=\"https://newengland.water.usgs.gov/\" href=\"https://newengland.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\">New England Water Science Center</a><br><a data-mce-href=\"https://usgs.gov/\" href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>331 Commerce Way, Suite 2<br>Pembroke, NH 03275<br></p>","tableOfContents":"<ul style=\"color: #222222; font-family: Arial, Helvetica, sans-serif; font-size: small; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;\" data-mce-style=\"color: #222222; font-family: Arial, Helvetica, sans-serif; font-size: small; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;\"><li>Preliminary Data Indicate</li><li>Study Area</li><li>Timeline for the Storms</li><li>U.S. Geological Survey Storm-Related Data</li><li>General Weather Conditions</li><li>Methods Used To Collect Streamflow Data</li><li>Floods of April 15–24, 2019</li><li>Summary</li><li><span style=\"font-size: 11pt; line-height: 16.8667px; font-family: Calibri, sans-serif;\" data-mce-style=\"font-size: 11pt; line-height: 16.8667px; font-family: Calibri, sans-serif;\">References Cited</span></li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2019-05-03","noUsgsAuthors":false,"publicationDate":"2019-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Kiah, Richard G. 0000-0001-6236-2507 rkiah@usgs.gov","orcid":"https://orcid.org/0000-0001-6236-2507","contributorId":2637,"corporation":false,"usgs":true,"family":"Kiah","given":"Richard","email":"rkiah@usgs.gov","middleInitial":"G.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Brianna A. 0000-0003-4426-000X","orcid":"https://orcid.org/0000-0003-4426-000X","contributorId":215359,"corporation":false,"usgs":true,"family":"Smith","given":"Brianna","email":"","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stasulis, Nicholas W. 0000-0001-7645-4867 nstasuli@usgs.gov","orcid":"https://orcid.org/0000-0001-7645-4867","contributorId":4520,"corporation":false,"usgs":true,"family":"Stasulis","given":"Nicholas","email":"nstasuli@usgs.gov","middleInitial":"W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762164,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187618,"text":"pp1824DD - 2019 - Geology and assessment of undiscovered oil and gas resources of the Eurasia Basin Province, 2008","interactions":[{"subject":{"id":70187618,"text":"pp1824DD - 2019 - Geology and assessment of undiscovered oil and gas resources of the Eurasia Basin Province, 2008","indexId":"pp1824DD","publicationYear":"2019","noYear":false,"chapter":"DD","displayTitle":"Geology and Assessment of Undiscovered Oil and Gas Resources of the Eurasia Basin Province, 2008","title":"Geology and assessment of undiscovered oil and gas resources of the Eurasia Basin Province, 2008"},"predicate":"IS_PART_OF","object":{"id":70193865,"text":"pp1824 - 2017 - The 2008 Circum-Arctic Resource Appraisal ","indexId":"pp1824","publicationYear":"2017","noYear":false,"title":"The 2008 Circum-Arctic Resource Appraisal "},"id":1}],"isPartOf":{"id":70193865,"text":"pp1824 - 2017 - The 2008 Circum-Arctic Resource Appraisal ","indexId":"pp1824","publicationYear":"2017","noYear":false,"title":"The 2008 Circum-Arctic Resource Appraisal "},"lastModifiedDate":"2024-06-26T14:23:18.622277","indexId":"pp1824DD","displayToPublicDate":"2019-05-03T08:00:14","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1824","chapter":"DD","displayTitle":"Geology and Assessment of Undiscovered Oil and Gas Resources of the Eurasia Basin Province, 2008","title":"Geology and assessment of undiscovered oil and gas resources of the Eurasia Basin Province, 2008","docAbstract":"<p>The Eurasia Basin Petroleum Province comprises the younger, eastern half of the Arctic Ocean, including the Eurasia Basin and the outboard part of the continental margin of northern Europe in the Barents and Kara Seas. The province includes the slope and rise sedimentary prism of the Lena Delta, the north-facing outer shelf, slope, and rise of the European passive margin, and sedimentary accumulations in the deep Nansen and Amundsen Basins. The entire province lies north of the Arctic Circle beneath the polar ice cap and includes the North Pole.</p><p>The province is divided into four assessment units (AUs). The Lena Prodelta AU in the eastern part of the province consists of the deep-marine part of the Lena Delta, which has been deposited across the Gakkel Ridge, an ultraslow spreading ridge. The Nansen Basin Margin AU in the southern part of the province comprises the Cenozoic passive margin sequence of the rift margin of the western (European) part of the Eurasian plate. This AU spans the continent-ocean boundary and includes prerift strata along the outer continental margin. The Nansen Basin and Amundsen Basin AUs encompass the deep abyssal plains of the Eurasia Basin. Lying south of the Gakkel Ridge spreading center, the sedimentary fill of Nansen Basin AU consists of the distal clinoform deposits shed from the western Eurasia passive margin. North of the Gakkel Ridge, Amundsen Basin AU consists of a nascent distal passive-margin sequence derived from the adjacent Lomonosov Ridge and overlying flat-lying deep marine strata shed from distant source areas in Siberia and Greenland after the Lomonosov Ridge subsided below sea level at about 50 Ma. The primary petroleum system thought to be present is sourced in ~50–44 Ma (early to middle Eocene) condensed pelagic deposits that could be widespread in the province.</p><p>Mean estimates of undiscovered, technically recoverable petroleum resources include &lt;1 billion barrels of oil (BBO) and about 1.4 trillion cubic feet (TCF) of nonassociated gas in Lena Prodelta AU, and &lt; 0.4 BBO and 3.4 TCF nonassociated gas in the Nansen Basin Margin AU. Quantities of natural gas liquids and associated natural gas also are assessed in each of these AUs. The Nansen Basin and Amundsen Basin AUs were not quantitatively assessed because they were judged to have less than 10 percent probability of containing at least one accumulation of 50 MMBOE (million barrels of oil equivalent), the minimum probability required for evaluation in the U.S. Geological Survey Circum-Arctic Resource Appraisal.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1824DD","usgsCitation":"Moore, T.E., and Pitman, J.K., 2019, Geology and assessment of undiscovered oil and gas resources of the Eurasia Basin Province, 2008, chap. DD <i>of</i> Moore, T.E., and Gautier, D.L., eds., The 2008 Circum-Arctic Resource Appraisal: U.S. Geological Survey Professional Paper 1824, 35 p., https://doi.org/10.3133/pp1824DD.","productDescription":"Report: vii, 32 p.; Appendixes 1-4","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-021706","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":363488,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/dd/pp1824dd_appendix1.xls","text":"Appendix 1","size":"40 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"PP 1824 Chapter DD Appendix 1"},{"id":363487,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1824/dd/pp1824dd_.pdf","text":"Report","size":"16.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1824 Chapter DD"},{"id":363490,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/dd/pp1824dd_appendix3.xls","text":"Appendix 3","size":"40 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"PP 1824 Chapter DD Appendix 3"},{"id":363486,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1824/dd/coverthb.jpg"},{"id":363491,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/dd/pp1824dd_appendix4.xls","text":"Appendix 4","size":"40 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"PP 1824 Chapter DD Appendix 4"},{"id":363489,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/dd/pp1824dd_appendix2.xls","text":"Appendix 2","size":"40 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"PP 1824 Chapter DD Appendix 2"}],"contact":"<p><a href=\"https://www.usgs.gov/centers/gmeg/employee-directory\" target=\"_blank\" data-mce-href=\"https://www.usgs.gov/centers/gmeg/employee-directory\" rel=\"noopener\">Contact Information</a>,&nbsp;<a href=\"https://www.usgs.gov/centers/gmeg\" target=\"_blank\" data-mce-href=\"https://www.usgs.gov/centers/gmeg\" rel=\"noopener\">Geology, Minerals, Energy, &amp; Geophysics Science Center—Menlo Park</a><br><a data-mce-href=\"https://usgs.gov\" href=\"https://usgs.gov\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>345 Middlefield Road<br>Menlo Park, CA 94025-3591<br>FAX 650-329-4936</p>","tableOfContents":"<ul style=\"color: #222222; font-family: Arial, Helvetica, sans-serif; font-size: small; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration-style: initial; text-decoration-color: initial;\" data-mce-style=\"color: #222222; font-family: Arial, Helvetica, sans-serif; font-size: small; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration-style: initial; text-decoration-color: initial;\"><li>Abstract</li><li>Introduction</li><li>Eurasia Basin Province Description</li><li>Assessment Units</li><li>Summary of Assessment Results</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-05-02","noUsgsAuthors":false,"publicationDate":"2019-05-02","publicationStatus":"PW","contributors":{"editors":[{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":127538,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":762084,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Gautier, Donald L. gautier@usgs.gov","contributorId":1310,"corporation":false,"usgs":true,"family":"Gautier","given":"Donald","email":"gautier@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":762085,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":127538,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":694783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":694784,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203879,"text":"70203879 - 2019 - Soil physical, hydraulic, and thermal properties in interior Alaska, USA: Implications for hydrologic response to thawing permafrost conditions","interactions":[],"lastModifiedDate":"2019-06-18T14:14:41","indexId":"70203879","displayToPublicDate":"2019-05-02T14:14:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Soil physical, hydraulic, and thermal properties in interior Alaska, USA: Implications for hydrologic response to thawing permafrost conditions","docAbstract":"Boreal forest regions are a focal point for investigations of coupled water and biogeochemical fluxes in response to wildfire disturbances, climate warming, and permafrost thaw. Soil hydraulic, physical, and thermal property measurements for mineral soils in permafrost regions are limited, despite substantial influences on cryohydrogeologic model results. This work expands mineral soil property quantification in cold regions through soil characterization from the discontinuous permafrost zone of interior Alaska, USA. Values extend beyond the range of prior measurement magnitudes in analogous regions, highlighting the importance of this dataset. Rocky and silty upland soil landscape classifications and wildfire disturbance provided guiding frameworks for the sampling and analysis for potential implications for the hydrologic response to thawing permafrost. Bulk density, soil organic matter, soil–particle size distributions (sand, silt, and gravel fractions), and soil hydraulic properties of van Genuchten parameters alpha and N had moderate evidence of differences between silty and rocky classifications. Burned and unburned sites had only moderate evidence of differences for silt fraction. Field-saturated hydraulic conductivity (Kfs) was more variable at burned sites compared to unburned sites, which corresponded to observations of greater rooting depths at burned sites and observations of root paths in soil cores for Kfs measurement. Soil thermal properties suggested that gravel content may reduce the accuracy of commonly used estimation methods for thermal conductivity . This work provides soil parameter constraints necessary for hypothesis testing and site-specific prediction with cryohydrogeologic models to examine controls on active layer and permafrost dynamics in upland boreal forests.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018WR023673","usgsCitation":"Ebel, B., Koch, J.C., and Walvoord, M.A., 2019, Soil physical, hydraulic, and thermal properties in interior Alaska, USA: Implications for hydrologic response to thawing permafrost conditions: Water Resources Research, v. 55, p. 4427-4447, https://doi.org/10.1029/2018WR023673.","productDescription":"21 p.","startPage":"4427","endPage":"4447","ipdsId":"IP-101336","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":364791,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Interior Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -152.5341796875,\n              64.1297836764257\n            ],\n            [\n              -144.580078125,\n              64.1297836764257\n            ],\n            [\n              -144.580078125,\n              69.41124235697256\n            ],\n            [\n              -152.5341796875,\n              69.41124235697256\n            ],\n            [\n              -152.5341796875,\n              64.1297836764257\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":764576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":764577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walvoord, Michelle A. 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211843,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":764578,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203214,"text":"ofr20191047 - 2019 - Groundwater quality in the Sacramento Metropolitan shallow aquifer, California","interactions":[],"lastModifiedDate":"2019-05-07T08:45:05","indexId":"ofr20191047","displayToPublicDate":"2019-05-02T13:50:12","publicationYear":"2019","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":"2019-1047","displayTitle":"Groundwater quality in the Sacramento Metropolitan Shallow Aquifer, California","title":"Groundwater quality in the Sacramento Metropolitan shallow aquifer, California","docAbstract":"<p>The Sacramento metropolitan (SacMetro) study unit covers approximately 3,250 square kilometers of the Central Valley along the eastern edge of the northern and southern ends of the San Joaquin and Sacramento Valleys, respectively. Groundwater withdrawals supply a significant portion of the water-resource needs of the region. In the southern portion of the study unit, groundwater accounts for nearly 90 percent of water demand in the area (South Area Water Council, 2011).</p><p>Groundwater sampled in the SacMetro study unit comes from alluvial aquifers primarily composed of sediments derived from the Sierra Nevada Mountains to the east. Recharge to the groundwater system is primarily from the streams draining the Sierra Nevada, and from precipitation and infiltration of applied irrigation water (California Department of Water Resources, 2003). The public-supply aquifer system assessments of this area in 2005 found elevated concentrations of inorganic constituents including arsenic, iron, and manganese as well as of solvents in some wells (Bennett and others, 2010; 2011).</p><p>This study was designed to provide a statistically representative assessment of the quality of groundwater resources used for domestic drinking water in the SacMetro study unit. A complete listing of what was measured, including the sampling results, are presented in Bennett and others, 2019. A total of 49 wells were sampled between July 2017 and November 2017 (Bennett and others, 2019). The wells in the study were 32–160 meters deep, and water levels were 1–62 meters below land surface.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191047","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Bennett, G.L. V, 2019, Groundwater quality in the Sacramento Metropolitan shallow aquifer, California: U.S. Geological Survey Open-File Report 2019–1047, 4 p., https://doi.org/10.3133/ofr20191047.","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-102366","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":437473,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BPGEGH","text":"USGS data release","linkHelpText":"Groundwater-quality data in the Sacramento Metro shallow aquifer study unit, 2017: Results from the California GAMA Priority Basin Project"},{"id":363457,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1047/coverthb.jpg"},{"id":363458,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1047/ofr20191047_.pdf","text":"Report","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2019-1047"}],"country":"United States","state":"California","otherGeospatial":"Sacramento Metropolitan Shallow Aquifer","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-121.1405,38.7111],[-121.1339,38.7053],[-121.1315,38.7054],[-121.1275,38.7095],[-121.117,38.7155],[-121.1121,38.7034],[-121.0607,38.5902],[-121.0242,38.5068],[-121.0213,38.4262],[-121.0216,38.379],[-121.0228,38.2983],[-121.0275,38.2974],[-121.0304,38.296],[-121.0368,38.2955],[-121.0409,38.2922],[-121.0484,38.2894],[-121.0508,38.2889],[-121.0603,38.2988],[-121.068,38.3005],[-121.0721,38.2982],[-121.0756,38.2977],[-121.0819,38.294],[-121.0971,38.2915],[-121.1093,38.2818],[-121.1202,38.2758],[-121.1302,38.2738],[-121.133,38.2706],[-121.1366,38.2715],[-121.143,38.2691],[-121.1476,38.265],[-121.1539,38.2599],[-121.159,38.2544],[-121.1648,38.2516],[-121.1725,38.2511],[-121.1801,38.2505],[-121.1953,38.2508],[-121.1993,38.2475],[-121.2128,38.2442],[-121.2203,38.2432],[-121.225,38.2422],[-121.2339,38.2448],[-121.242,38.2433],[-121.2496,38.2436],[-121.2514,38.2436],[-121.2586,38.2517],[-121.2674,38.252],[-121.2733,38.2519],[-121.2821,38.2527],[-121.2878,38.2472],[-121.2935,38.2385],[-121.2987,38.2366],[-121.3057,38.2342],[-121.311,38.2346],[-121.3162,38.2323],[-121.3208,38.2313],[-121.3285,38.2307],[-121.3325,38.2302],[-121.3389,38.2288],[-121.3453,38.2268],[-121.353,38.2294],[-121.3589,38.2289],[-121.3647,38.2288],[-121.3824,38.2308],[-121.3871,38.2316],[-121.3958,38.2283],[-121.3998,38.2274],[-121.404,38.23],[-121.4116,38.2304],[-121.4212,38.2366],[-121.4237,38.2424],[-121.4245,38.2519],[-121.4304,38.2532],[-121.4533,38.2533],[-121.4628,38.2572],[-121.4751,38.257],[-121.4766,38.2502],[-121.4794,38.2447],[-121.4869,38.24],[-121.4891,38.2346],[-121.4942,38.2268],[-121.5058,38.2234],[-121.5063,38.2189],[-121.5061,38.2139],[-121.5054,38.2103],[-121.5082,38.2052],[-121.514,38.202],[-121.5227,38.2],[-121.529,38.194],[-121.5247,38.1846],[-121.5263,38.1823],[-121.5274,38.1791],[-121.526,38.17],[-121.5322,38.1613],[-121.5356,38.1572],[-121.5337,38.1513],[-121.5429,38.1471],[-121.5551,38.1437],[-121.5592,38.1427],[-121.5579,38.1391],[-121.5689,38.1326],[-121.5787,38.1279],[-121.5838,38.1215],[-121.5877,38.1142],[-121.5781,38.1089],[-121.574,38.1067],[-121.5686,38.104],[-121.565,38.1005],[-121.5656,38.0991],[-121.5703,38.0981],[-121.5767,38.0998],[-121.5826,38.1016],[-121.5891,38.1028],[-121.5956,38.104],[-121.5985,38.1058],[-121.6021,38.1067],[-121.6056,38.1075],[-121.6103,38.107],[-121.6138,38.1065],[-121.6161,38.106],[-121.6184,38.1046],[-121.6213,38.1036],[-121.6242,38.1036],[-121.6306,38.1021],[-121.6352,38.0993],[-121.6369,38.0961],[-121.6374,38.0929],[-121.6373,38.0902],[-121.6402,38.0892],[-121.642,38.0896],[-121.6473,38.0927],[-121.655,38.0962],[-121.6621,38.0979],[-121.6702,38.0973],[-121.6783,38.0935],[-121.6829,38.0903],[-121.6846,38.0871],[-121.6874,38.0848],[-121.6885,38.082],[-121.6866,38.078],[-121.686,38.0744],[-121.6858,38.0689],[-121.6862,38.0648],[-121.6885,38.0621],[-121.6919,38.0584],[-121.6953,38.0556],[-121.6988,38.0537],[-121.7016,38.0501],[-121.7068,38.0477],[-121.7126,38.0453],[-121.7172,38.0439],[-121.7259,38.0401],[-121.731,38.0377],[-121.7391,38.0331],[-121.7449,38.0307],[-121.7559,38.0287],[-121.7612,38.029],[-121.7659,38.0303],[-121.7717,38.0311],[-121.7765,38.0342],[-121.7812,38.0359],[-121.7866,38.0376],[-121.7884,38.0394],[-121.7891,38.043],[-121.7898,38.0466],[-121.7887,38.0498],[-121.7864,38.0526],[-121.7883,38.0548],[-121.79,38.0548],[-121.7929,38.0543],[-121.7924,38.0561],[-121.7896,38.0589],[-121.7861,38.0612],[-121.7792,38.0636],[-121.7735,38.0673],[-121.7688,38.0688],[-121.7636,38.0721],[-121.759,38.0735],[-121.7498,38.0773],[-121.744,38.081],[-121.7429,38.082],[-121.7406,38.082],[-121.7388,38.0811],[-121.734,38.0794],[-121.727,38.0791],[-121.7194,38.0797],[-121.716,38.0806],[-121.7125,38.0816],[-121.7108,38.0839],[-121.7068,38.0871],[-121.7058,38.0917],[-121.7065,38.0971],[-121.7066,38.1012],[-121.7039,38.1062],[-121.7022,38.1094],[-121.6966,38.1177],[-121.6927,38.1232],[-121.6899,38.1292],[-121.6879,38.141],[-121.683,38.1519],[-121.6807,38.1556],[-121.6756,38.1598],[-121.6723,38.1662],[-121.6678,38.1717],[-121.6614,38.1732],[-121.6597,38.1755],[-121.6631,38.1772],[-121.6632,38.1772],[-121.665,38.179],[-121.6616,38.1827],[-121.6552,38.1837],[-121.6488,38.1843],[-121.6385,38.1922],[-121.625,38.192],[-121.6181,38.1961],[-121.6146,38.1976],[-121.6108,38.2071],[-121.6086,38.2131],[-121.6041,38.22],[-121.6027,38.2322],[-121.6023,38.2381],[-121.6015,38.2495],[-121.6006,38.2599],[-121.6003,38.269],[-121.6016,38.2758],[-121.6031,38.2853],[-121.6045,38.2943],[-121.5934,38.314],[-121.5849,38.325],[-121.5826,38.3282],[-121.5785,38.3287],[-121.575,38.3279],[-121.567,38.3371],[-121.5636,38.3408],[-121.5584,38.344],[-121.5386,38.3484],[-121.5248,38.3596],[-121.5239,38.3686],[-121.5253,38.3795],[-121.5185,38.3855],[-121.5145,38.3901],[-121.5129,38.3956],[-121.5136,38.4028],[-121.521,38.4149],[-121.5247,38.4185],[-121.532,38.4283],[-121.5321,38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href=\"mailto:dc_ca@usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,<br><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-05-02","noUsgsAuthors":false,"publicationDate":"2019-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Bennett, George L. V V 0000-0002-6239-1604 georbenn@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-1604","contributorId":1373,"corporation":false,"usgs":true,"family":"Bennett","given":"George","suffix":"V","email":"georbenn@usgs.gov","middleInitial":"L. V","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761699,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70227905,"text":"70227905 - 2019 - Grassland bird and butterfly responses to Sericea lespedeza control via late-season grazing pressure","interactions":[],"lastModifiedDate":"2022-02-03T12:02:26.616577","indexId":"70227905","displayToPublicDate":"2019-05-02T13:29:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Grassland bird and butterfly responses to Sericea lespedeza control via late-season grazing pressure","docAbstract":"<p><span>Sericea lespedeza (</span><i>Lespedeza cuneata</i><span>) is a high-tannin, late-season invasive forb species that reduces biodiversity in tallgrass prairie ecosystems. The largest tallgrass prairie remnant exists in the Flint Hills of Kansas and Oklahoma, where the most common grazing management practice involves prescribed fire in early spring followed by intensive stocking with yearling beef cattle from April to July. Sericea has continued to spread under this management regime. From 2013 to 2016, in Kansas Flint Hills tallgrass prairie, we tested the effects of using spring burning with early-season steer grazing, followed by late-season sheep grazing (Steer+Sheep) compared to spring burning followed by steer grazing only (Steer) on sericea vigor, grassland birds, and pollinators. Density and nest success of Grasshopper Sparrows&nbsp;</span><i>(Ammodramus savannarum</i><span>) and Eastern Meadowlarks (</span><i>Sturnella magna</i><span>) were not negatively affected by Steer+Sheep relative to Steer treatments, whereas there was evidence of a negative effect in these same metrics for Dickcissels (</span><i>Spiza americana</i><span>). Abundance of butterflies and their nectar sources were similar between treatments but abundance of grassland specialist butterfly species was low, overall. Comprehensively, Steer+Sheep effectively controls the spread of sericea but may not create habitat for all tallgrass prairie wildlife species.</span></p>","language":"English","publisher":"BioOne","doi":"10.1674/0003-0031-181.2.147","usgsCitation":"Ogden, S., Haukos, D.A., Olson, K.C., Lemmon, J., Alexander, J., and Gatson, G.A., 2019, Grassland bird and butterfly responses to Sericea lespedeza control via late-season grazing pressure: American Midland Naturalist, v. 181, p. 147-169, https://doi.org/10.1674/0003-0031-181.2.147.","productDescription":"23 p.","startPage":"147","endPage":"169","ipdsId":"IP-099212","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas, Oklahoma","otherGeospatial":"Flint Hills","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.1630859375,\n              35.33529320309328\n            ],\n            [\n              -95.47119140625,\n              35.33529320309328\n            ],\n            [\n              -95.47119140625,\n              39.80853604144591\n            ],\n            [\n              -97.1630859375,\n              39.80853604144591\n            ],\n            [\n              -97.1630859375,\n              35.33529320309328\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"181","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ogden, Sarah","contributorId":273076,"corporation":false,"usgs":false,"family":"Ogden","given":"Sarah","email":"","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":832751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olson, K. 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,{"id":70203274,"text":"ofr20191050 - 2019 - An experimental test of weed-suppressive bacteria effectiveness in rangelands in southwestern Idaho, 2016–18","interactions":[],"lastModifiedDate":"2019-05-07T10:24:36","indexId":"ofr20191050","displayToPublicDate":"2019-05-02T12:04:33","publicationYear":"2019","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":"2019-1050","displayTitle":"An Experimental Test of Weed-Suppressive Bacteria Effectiveness in Rangelands in Southwestern Idaho, 2016–18","title":"An experimental test of weed-suppressive bacteria effectiveness in rangelands in southwestern Idaho, 2016–18","docAbstract":"<p class=\"p1\">Approaches and techniques for control of exotic annual grasses are a high priority in sagebrush-steppe and other rangelands. Strains of the soil bacterium <i>Pseudomonas fluorescens </i>(Pf) have been proposed to be selectively pathogenic to multiple species of exotic annual grasses with effects evident by the second year, and with no effect on native or desirable species including native bunchgrasses. However, scientifically defensible tests of the target and non-target/risk effects of these hypothetically weed-suppressive bacteria (WSB) strains in the field have been lacking in rangelands and other environments. We evaluated the effects of two strains of Pf WSB (D7 and MB906) sprayed on the surface in autumn 2016 at three sites in sagebrush steppe across southwestern Idaho that had cheatgrass (<i>Bromus tectorum</i>), medusahead (<span class=\"s1\"><i>Taeniatherum caput-medusae</i></span>), and other exotic annual grasses. Treatments also were replicated within each site (n=3, 8.3×8.3 meter plots) and included evaluation of the WSB strains with and without herbicides (imazapic and rimsulfuron) and with or without discing to mix surface-spray of the WSB into deeper soils. By the second year following application (spring 2018), neither strain of WSB affected exotic annual grasses, perennial bunchgrasses, or total community cover, either with WSB alone or in combination with herbicides or discing. We conclude that neither the D7 nor MB906 strains of Pf WSB have a negative effect on exotic annuals at the sites we evaluated.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191050","collaboration":"Prepared in cooperation with the Bureau of Land Management, U.S. Fish and Wildlife Service, Great Basin Landscape Conservation Cooperative, and Ada County Soil and Water Conservation District","usgsCitation":"Lazarus, B.E., and Germino, M.J., 2019, An experimental test of weed-suppressive bacteria effectiveness in rangelands in southwestern Idaho, 2016–18: U.S. Geological Survey Open-File Report 2019-1050, 19 p., https://doi.org/10.3133/ofr20191050.","productDescription":"28 p.","onlineOnly":"Y","ipdsId":"IP-107733","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science 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 \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/fresc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/fresc/\">Forest and Rangeland Ecosystem Science Center</a><br>U.S. Geological Survey<br>777 NW 9th St., Suite 400<br>Corvalis, Oregon 97330</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-05-02","noUsgsAuthors":false,"publicationDate":"2019-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Lazarus, Brynne E. 0000-0002-6352-486X blazarus@usgs.gov","orcid":"https://orcid.org/0000-0002-6352-486X","contributorId":4901,"corporation":false,"usgs":true,"family":"Lazarus","given":"Brynne","email":"blazarus@usgs.gov","middleInitial":"E.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":762001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":762002,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203400,"text":"70203400 - 2019 - Establishment of Salsola tragus on aeolian sands: A Southern Colorado Plateau case study","interactions":[],"lastModifiedDate":"2019-07-23T13:52:17","indexId":"70203400","displayToPublicDate":"2019-05-02T09:39:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2100,"text":"Invasive Plant Science and Management","active":true,"publicationSubtype":{"id":10}},"title":"Establishment of Salsola tragus on aeolian sands: A Southern Colorado Plateau case study","docAbstract":"Russian-thistle (Salsola tragus L.), is a nonnative, C4 photosynthesizing, annual plant that infests disturbed and natural areas in the arid U.S. Southwest. Land managers of natural areas may need to decide whether a S. tragus infestation is potentially harmful and whether it should be actively managed. One factor informing that decision is an understanding of the conditions under which this weed emerges and establishes and how those processes affect where and when infestations occur. We studied S. tragus establishment on aeolian (windblown) sandy soils at Petrified Forest National Park, AZ. Our sites were a previously disturbed sand sheet and a semistabilized sand dune. Measurements in plots on these sites over two growing seasons revealed a similar number of S. tragus seedlings emerging on both sites early in the 2015 growing season. As the season progressed, S. tragus cover (seedling survival and growth) was lower on the sand dune, except for a plot placed entirely on a coppice mound. In 2016, S. tragus seedling emergence and development of cover, measured on plots at both sites, was exceptionally low, as was summer rainfall. A growth chamber assay of seedling emergence from soil and litter samples collected at each site showed emergence was greatest from samples collected where S. tragus litter remained on the soil surface, and otherwise was infrequent. Our study suggests that S. tragus emergence and early establishment are sensitive to low precipitation and that soil-surface microtopography and grass and shrub cover may be determinants of the spatial pattern of infestation on sandy soils. As aeolian sands occur throughout drylands of the U.S. Southwest, deeper understanding of the conditions under which S. tragus seedlings emerge and establish can inform management of this invasive annual in those habitats.","language":"English","publisher":"Weed Science Society of America","doi":"10.1017/inp.2019.7","usgsCitation":"Thomas, K.A., and Hiza, M., 2019, Establishment of Salsola tragus on aeolian sands: A Southern Colorado Plateau case study: Invasive Plant Science and Management, v. 12, no. 2, p. 124-132, https://doi.org/10.1017/inp.2019.7.","productDescription":"9 p.","startPage":"124","endPage":"132","ipdsId":"IP-102191","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":437474,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P992YTCO","text":"USGS data release","linkHelpText":"Russian-thistle field and seed bank data at Petrified Forest National Park, Arizona, 2015-2016"},{"id":363715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Thomas, Kathryn A. 0000-0002-7131-8564 kathryn_a_thomas@usgs.gov","orcid":"https://orcid.org/0000-0002-7131-8564","contributorId":167,"corporation":false,"usgs":true,"family":"Thomas","given":"Kathryn","email":"kathryn_a_thomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":762574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hiza, Margaret 0000-0003-2851-2502 mhiza@usgs.gov","orcid":"https://orcid.org/0000-0003-2851-2502","contributorId":198449,"corporation":false,"usgs":true,"family":"Hiza","given":"Margaret","email":"mhiza@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":762575,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203256,"text":"70203256 - 2019 - In ovo exposure to brominated flame retardants Part II: Assessment of effects of TBBPA-BDBPE and BTBPE on hatching success, morphometric and physiological endpoints in American kestrels","interactions":[],"lastModifiedDate":"2023-03-27T22:43:42.728712","indexId":"70203256","displayToPublicDate":"2019-05-02T07:28:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1480,"text":"Ecotoxicology and Environmental Safety","active":true,"publicationSubtype":{"id":10}},"displayTitle":"<i>In ovo</i> exposure to brominated flame retardants Part II: Assessment of effects of TBBPA-BDBPE and BTBPE on hatching success, morphometric and physiological endpoints in American kestrels","title":"In ovo exposure to brominated flame retardants Part II: Assessment of effects of TBBPA-BDBPE and BTBPE on hatching success, morphometric and physiological endpoints in American kestrels","docAbstract":"<p><span>Tetrabromobisphenol A bis(2,3-dibromopropyl ether) (TBBPA-BDBPE) and 1,2-bis(2,4,6-tribromophenoxy)ethane (BTPBE) are both brominated&nbsp;flame retardants&nbsp;(BFRs) that have been detected in birds; however, their potential biological effects are largely unknown. We assessed the effects of embryonic exposure to TBBPA-BDBPE and BTBPE in a model avian predator, the American kestrel (</span><i>Falco sparverius</i><span>). Fertile eggs from a&nbsp;captive population&nbsp;of kestrels were injected on embryonic day 5 (ED5) with a vehicle control or one of three doses within the range of concentrations that have been detected in biota (nominal concentrations of 0, 10, 50 or 100 ng/g egg; measured concentrations 0, 3.0, 13.7 or 33.5 ng TBBPA-BDBPE/g egg and 0, 5.3, 26.8 or 58.1 ng BTBPE/g egg). Eggs were artificially incubated until hatching (ED28), at which point blood and tissues were collected to measure morphological and physiological endpoints, including organ somatic indices, circulating and glandular thyroid hormone concentrations,&nbsp;thyroid gland&nbsp;histology, hepatic deiodinase activity, and markers of&nbsp;oxidative stress. Neither compound had any effects on embryo survival through 90% of the incubation period or on hatching success, body mass, organ size, or oxidative stress of hatchlings. There was evidence of sex-specific effects in the thyroid system responses to the BTBPE exposures, with type 2 deiodinase (D2) activity decreasing at higher doses in female, but not in male hatchlings, suggesting that females may be more sensitive to BTBPE. However, there were no effects of TBBPA-BDBPE on the thyroid system in kestrels. For the BTPBE study, a subset of high-dose eggs was collected throughout the incubation period to measure changes in BTBPE concentrations. There was no decrease in BTBPE over the incubation period, suggesting that BTBPE is slowly metabolized by kestrel embryos throughout their ∼28-d development. These two compounds, therefore, do not appear to be particularly toxic to embryos of the American kestrel.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoenv.2019.04.047","usgsCitation":"Eng, M., Karouna-Renier, N., Henry, P.F., Letcher, R.J., Schultz, S.L., Bean, T.G., Peters, L.E., Palace, V.P., Williams, T.D., Elliott, J., and Fernie, K.J., 2019, In ovo exposure to brominated flame retardants Part II: Assessment of effects of TBBPA-BDBPE and BTBPE on hatching success, morphometric and physiological endpoints in American kestrels: Ecotoxicology and Environmental Safety, v. 179, p. 151-159, https://doi.org/10.1016/j.ecoenv.2019.04.047.","productDescription":"9 p.","startPage":"151","endPage":"159","ipdsId":"IP-105952","costCenters":[{"id":267,"text":"Environmental and Contaminants Research Center","active":false,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467645,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoenv.2019.04.047","text":"Publisher Index Page"},{"id":437475,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P999473N","text":"USGS data release","linkHelpText":"In ovo exposure to brominated flame retardants Part II: Assessment of effects of TBBPA-BDBPE and BTBPE on hatching success, morphometric and physiological endpoints in American kestrels"},{"id":363477,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"179","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Eng, Margaret","contributorId":215245,"corporation":false,"usgs":false,"family":"Eng","given":"Margaret","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":761913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":761912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henry, Paula F. P. 0000-0002-7601-5546 phenry@usgs.gov","orcid":"https://orcid.org/0000-0002-7601-5546","contributorId":4485,"corporation":false,"usgs":true,"family":"Henry","given":"Paula","email":"phenry@usgs.gov","middleInitial":"F. P.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":761914,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Letcher, Robert J.","contributorId":176209,"corporation":false,"usgs":false,"family":"Letcher","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":761915,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schultz, Sandra L. 0000-0003-3394-2857 sschultz@usgs.gov","orcid":"https://orcid.org/0000-0003-3394-2857","contributorId":5966,"corporation":false,"usgs":true,"family":"Schultz","given":"Sandra","email":"sschultz@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":761917,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bean, Thomas G. 0000-0002-3577-1994 tbean@usgs.gov","orcid":"https://orcid.org/0000-0002-3577-1994","contributorId":205287,"corporation":false,"usgs":false,"family":"Bean","given":"Thomas","email":"tbean@usgs.gov","middleInitial":"G.","affiliations":[{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false}],"preferred":false,"id":761916,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peters, Lisa E.","contributorId":176211,"corporation":false,"usgs":false,"family":"Peters","given":"Lisa","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":761918,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Palace, Vince P.","contributorId":176210,"corporation":false,"usgs":false,"family":"Palace","given":"Vince","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":761919,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Williams, Tony D.","contributorId":202813,"corporation":false,"usgs":false,"family":"Williams","given":"Tony","email":"","middleInitial":"D.","affiliations":[{"id":29801,"text":"Department of Biological Sciences, Simon Fraser University, Burnaby, BC","active":true,"usgs":false}],"preferred":false,"id":761920,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Elliott, John E.","contributorId":127368,"corporation":false,"usgs":false,"family":"Elliott","given":"John E.","affiliations":[{"id":6779,"text":"Environment Canada, Burlington, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":761921,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fernie, Kim J.","contributorId":211241,"corporation":false,"usgs":false,"family":"Fernie","given":"Kim","email":"","middleInitial":"J.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":761922,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70203258,"text":"70203258 - 2019 - In ovo exposure to brominated flame retardants Part I: Assessment of effects of TBBPA-BDBPE on survival, morphometric and physiological endpoints in zebra finches","interactions":[],"lastModifiedDate":"2019-05-02T07:53:24","indexId":"70203258","displayToPublicDate":"2019-05-02T07:24:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1480,"text":"Ecotoxicology and Environmental Safety","active":true,"publicationSubtype":{"id":10}},"title":"In ovo exposure to brominated flame retardants Part I: Assessment of effects of TBBPA-BDBPE on survival, morphometric and physiological endpoints in zebra finches","docAbstract":"Tetrabromobisphenol A bis(2,3-dibromopropyl) ether (TBBPA-BDBPE) is an additive flame retardant used in polyolefins and polymers. It has been detected in biota, including in avian eggs, yet little is known of its effects. We assessed the pattern of TBBPA-BDBPE concentrations in songbird eggs over the incubation period, and the effects of embryonic exposure to TBBPA-BDBPE in a model songbird species, the zebra finch (Taeniopygia guttata). To assess concentrations during embryo development, eggs were injected on the day they were laid with the vehicle control (safflower oil) or 100 ng TBBPA-BDBPE/g egg, and whole egg contents were collected throughout embryonic development on day 0 (unincubated), 5, 10 and 13. To evaluate effects of embryonic exposure to TBBPA-BDBPE, eggs were injected at Hamburger-Hamilton stage 18 (~80 hours after initiation of incubation) with safflower oil only, 10, 50 or 100 ng TBBPA-BDBPE/g egg (albumin injection volume 1 µl/g). Eggs were monitored for hatching success, and nestlings were monitored for growth and survival. At 15 days post-hatch, tissues were collected to assess physiological effects. TBBPA-BDBPE was incorporated into the egg as the embryo developed, and concentrations started declining in late incubation, suggesting biotransformation by the embryo. There were no effects on hatching success, nestling survival, growth, organ somatic indices, or thyroid hormone homeostasis; however, there was evidence that body condition declined in a dose-dependent manner towards the end of the rapid nestling growth phase. This decreased body condition could be a delayed effect of early developmental exposure, or it may be the result of increased exposure to biotransformation products of TBBPA-BDBPE produced over the nestling period, which are predicted to be more bioaccumulative and toxic than the parent compound.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoenv.2019.04.048","usgsCitation":"Eng, M., Williams, T.D., Fernie, K.J., Karouna-Renier, N., Henry, P.F., Letcher, R.J., and Elliott, J., 2019, In ovo exposure to brominated flame retardants Part I: Assessment of effects of TBBPA-BDBPE on survival, morphometric and physiological endpoints in zebra finches: Ecotoxicology and Environmental Safety, v. 179, p. 104-110, https://doi.org/10.1016/j.ecoenv.2019.04.048.","productDescription":"7 p.","startPage":"104","endPage":"110","onlineOnly":"Y","ipdsId":"IP-105993","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467646,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoenv.2019.04.048","text":"Publisher Index Page"},{"id":363475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"179","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Eng, Margaret","contributorId":215245,"corporation":false,"usgs":false,"family":"Eng","given":"Margaret","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":761940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Tony D.","contributorId":202813,"corporation":false,"usgs":false,"family":"Williams","given":"Tony","email":"","middleInitial":"D.","affiliations":[{"id":29801,"text":"Department of Biological Sciences, Simon Fraser University, Burnaby, BC","active":true,"usgs":false}],"preferred":false,"id":761941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fernie, Kim J.","contributorId":211241,"corporation":false,"usgs":false,"family":"Fernie","given":"Kim","email":"","middleInitial":"J.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":761942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":761939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Henry, Paula F. P. 0000-0002-7601-5546 phenry@usgs.gov","orcid":"https://orcid.org/0000-0002-7601-5546","contributorId":4485,"corporation":false,"usgs":true,"family":"Henry","given":"Paula","email":"phenry@usgs.gov","middleInitial":"F. P.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":761943,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Letcher, Robert J.","contributorId":176209,"corporation":false,"usgs":false,"family":"Letcher","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":761944,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Elliott, John E.","contributorId":127368,"corporation":false,"usgs":false,"family":"Elliott","given":"John E.","affiliations":[{"id":6779,"text":"Environment Canada, Burlington, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":761945,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70204104,"text":"70204104 - 2019 - Strike-slip fault interactions at Ivanpah Valley, California and Nevada","interactions":[],"lastModifiedDate":"2019-07-05T16:10:34","indexId":"70204104","displayToPublicDate":"2019-05-01T16:02:10","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Strike-slip fault interactions at Ivanpah Valley, California and Nevada","docAbstract":"Ivanpah Valley is flanked by high mountain ranges, and represents one of the most imposing valleys of the eastern Mojave Desert. Its sinuous shape implies a complex origin as does the fact that it is not bordered by prominent range-front normal faults like valleys of the Basin and Range Province. In Addition, its deepest sedimentary basin is restricted to a small part of the valley near Nipton that does not coincide with the lowest part of the valley at Ivanpah Lake. The deep basin was caused by pull-apart at the intersection of two major strike-slip faults, the Stateline and Nipton faults. The northern part of the valley, in Nevada, probably resulted from normal faulting, and much of the normal faulting may have predated the strike-slip faulting. The southern valley, in California, is underlain by bedrock at shallow depths and is of uncertain origin. The dextral Stateline fault terminates at the sinistral Nipton fault, indicating that eastern California shear zone tectonics in this area consists of interwoven synthetic and antithetic faults, rather than through-going strike slip faults of a single orientation.","largerWorkType":{"id":4,"text":"Book"},"largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Exploring Ends of Eras in the Eastern Mojave Desert, DS2019","conferenceDate":"April 19-22, 2019","conferenceLocation":"ZZyzx, CA","language":"English","publisher":"Desert Symposium Inc.","collaboration":"none","usgsCitation":"Miller, D., Langenheim, V., Denton, K., and Ponce, D.A., 2019, Strike-slip fault interactions at Ivanpah Valley, California and Nevada, Exploring Ends of Eras in the Eastern Mojave Desert, DS2019, ZZyzx, CA, April 19-22, 2019, p. 91-97.","productDescription":"7 p.","startPage":"91","endPage":"97","ipdsId":"IP-106758","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":365313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365307,"type":{"id":15,"text":"Index Page"},"url":"https://www.desertsymposium.org/"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.2738037109375,\n              34.551811369170494\n            ],\n            [\n              -114.47753906249999,\n              34.551811369170494\n            ],\n            [\n              -114.47753906249999,\n              35.715298012125295\n            ],\n            [\n              -116.2738037109375,\n              35.715298012125295\n            ],\n            [\n              -116.2738037109375,\n              34.551811369170494\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":765528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":765529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Denton, Kevin 0000-0001-9604-4021","orcid":"https://orcid.org/0000-0001-9604-4021","contributorId":207718,"corporation":false,"usgs":true,"family":"Denton","given":"Kevin","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":765530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":765531,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204450,"text":"70204450 - 2019 - Spatial and temporal variability of fish assemblages in acidified streams: Implications for long-term monitoring","interactions":[],"lastModifiedDate":"2019-07-25T13:10:27","indexId":"70204450","displayToPublicDate":"2019-05-01T13:09:11","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"Report 19-29","title":"Spatial and temporal variability of fish assemblages in acidified streams: Implications for long-term monitoring","docAbstract":"Numerous studies have established strong linkages between acid deposition, soil and surface-water acidification, and toxicity to aquatic biota. Little is known however, about the effects of acidification on fish assemblages in headwater streams because they are highly variable, and pre-acidification data are often lacking. The primary purpose of this study was to describe spatial and interannual (temporal) variability of fish assemblages in headwater streams affected by acidification so that future recovery targets and monitoring strategies can be established. Fish communities and water chemistry were sampled at 48 headwater streams in the Western Adirondack Mountains of New York during the summers of 2014 to 2016 to characterize the present-day condition of water quality and local fish assemblages. Additionally, data from six Adirondack streams that were sampled annually from 2014-16 were combined with data from seven streams in the Catskill Mountain region sampled annually for three or more years for an analysis of temporal variability. Inorganic monomeric aluminum concentrations (Ali, the toxic form of Al) were less than 1.0 µmol L-1, between 1 and 2 µmol L-1, and greater than 2 µmol L-1 in 79%, 13%, and 8% of the 48 Adirondack streams. Richness, abundance, and biomass of fish assemblages were negatively related to Ali concentrations. In streams with Ali concentrations less than 1.0 µmol L-1, species richness, density, and biomass averaged 2.0 species, 444.2 fish/0.1 ha, and 1924.4 g/0.1 ha, respectively, and the density and biomass of Brook Trout populations averaged 280.8 fish/0.1 ha and 1384.0 g/0.1 ha. These values may provide a reasonable approximation of fish community condition prior to anthropogenic acidification and can be used as targets for assessing future recovery of acidified streams. A power analysis that considered 21 fish metrics indicated a strong negative relationship between interannual metric variability and statistical power for detecting change over time. Large differences were identified in the sample size necessary to achieve adequate power (0.8) depending on the metric utilized. In general, greater statistical power was obtained from metrics based on entire fish communities and from metrics standardized by reach length or sampling effort. Given the variability observed in our dataset, most metrics could detect a change of 30% with moderate effort, suggesting this may be an appropriate goal for future monitoring. Together, knowledge of biological recovery targets and the statistical power obtained from various fish metrics can be used to develop the most effective strategies for monitoring and assessing biological recovery in New York streams.","language":"English","publisher":"New York State Energy Research and Development Authority","collaboration":"NYSERDA","usgsCitation":"George, S.D., Baldigo, B.P., and Lawrence, G.B., 2019, Spatial and temporal variability of fish assemblages in acidified streams: Implications for long-term monitoring, 28 p.","productDescription":"28 p.","ipdsId":"IP-105913","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":365954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365908,"type":{"id":15,"text":"Index 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,{"id":70204435,"text":"70204435 - 2019 - Spatially-structured statistical network models for landscape genetics","interactions":[],"lastModifiedDate":"2020-02-19T13:38:01","indexId":"70204435","displayToPublicDate":"2019-05-01T12:38:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Spatially-structured statistical network models for landscape genetics","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>A basic understanding of how the landscape impedes, or creates resistance to, the dispersal of organisms and hence gene flow is paramount for successful conservation science and management. Spatially structured ecological networks are often used to represent spatial landscape‐genetic relationships, where nodes represent individuals or populations and resistance to movement is represented using non‐binary edge weights. Weights are typically assigned or estimated by the user, rather than observed, and validating such weights is challenging. We provide a synthesis of current methods used to estimate edge weights and an overview of common model types, stressing the advantages and disadvantages of each approach and their ability to model landscape‐genetic data. We further explore a set of spatial‐statistical methods that provide ecologists with alternative approaches for modeling spatially explicit processes that may affect genetic structure. This includes an overview of spatial autoregressive models, with a particular focus on how correlation and partial correlation are used to represent neighborhood structure with the inverse of the covariance matrix (i.e., precision matrix). We then demonstrate how to model resistance by specifying an appropriate statistical model on the nodes, conditioned on the edge weights, through the precision matrix. This integration of network ecology and spatial statistics provides a practical analytical framework for landscape‐genetic studies. The results can be used to make statistical inferences about the relative importance of individual landscape characteristics, such as the vegetative cover, hillslope, or the presence of roads or rivers, on gene flow. In addition, the R code we include allows readers to explore landscape‐genetic structure in their own datasets, which will potentially provide new insights into the evolutionary processes that generated ecological networks, as well as valuable information about the optimal characteristics of conservation corridors.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ecm.1355","usgsCitation":"Hooten, M., 2019, Spatially-structured statistical network models for landscape genetics: Ecological Monographs, v. 89, no. 2, e01355, 14 p., https://doi.org/10.1002/ecm.1355.","productDescription":"e01355, 14 p.","ipdsId":"IP-082869","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467647,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ecm.1355","text":"External Repository"},{"id":365946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":766901,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70203424,"text":"70203424 - 2019 - Success of lake restoration depends on spatial aspects of nutrient loading and hydrology","interactions":[],"lastModifiedDate":"2019-05-14T12:24:37","indexId":"70203424","displayToPublicDate":"2019-05-01T12:24:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Success of lake restoration depends on spatial aspects of nutrient loading and hydrology","docAbstract":"Many aquatic ecosystems have deteriorated due to human activities and their restoration is often troublesome. It is proposed here that the restoration success of deteriorated lakes critically depends on hitherto largely neglected spatial heterogeneity in nutrient loading and hydrology. A modelling approach is used to study this hypothesis by considering four lake types with contrasting nutrient loading (point versus diffuse) and hydrology (seepage versus drainage). By comparing the longterm effect of common restoration measures (nutrient load reduction, lake flushing or biomanipulation) in these four lake types, we found that restoration through reduction of nutrient loading is effective in all cases. In contrast, biomanipulation only works in seepage lakes with diffuse nutrient inputs, while lake flushing will even be counterproductive in lakes with nutrient point sources. The main conclusion of the presented analysis is that a priori assessment of spatial heterogeneity caused by nutrient loading and hydrology is essential for successful restoration of lake ecosystems.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.04.443","usgsCitation":"Janssen, A.B., van Wijk, D., van Gerven, L.P., Bakker, E.S., Brederveld, R.J., DeAngelis, D.L., Janse, J.H., and Mooij, W.M., 2019, Success of lake restoration depends on spatial aspects of nutrient loading and hydrology: Science of the Total Environment, v. 679, p. 248-259, https://doi.org/10.1016/j.scitotenv.2019.04.443.","productDescription":"10 p.","startPage":"248","endPage":"259","ipdsId":"IP-074807","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467648,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.04.443","text":"Publisher Index Page"},{"id":363774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"679","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Janssen, Annette B. G.","contributorId":215552,"corporation":false,"usgs":false,"family":"Janssen","given":"Annette","email":"","middleInitial":"B. G.","affiliations":[{"id":39277,"text":"Dept. of Aquatic Ecology, Netherlands Institute of Ecology, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":762646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Wijk, Dianneke","contributorId":215557,"corporation":false,"usgs":false,"family":"van Wijk","given":"Dianneke","email":"","affiliations":[{"id":39277,"text":"Dept. of Aquatic Ecology, Netherlands Institute of Ecology, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":762651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Gerven, Luuk P.A.","contributorId":215553,"corporation":false,"usgs":false,"family":"van Gerven","given":"Luuk","email":"","middleInitial":"P.A.","affiliations":[{"id":39277,"text":"Dept. of Aquatic Ecology, Netherlands Institute of Ecology, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":762647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bakker, Elisabeth S.","contributorId":210388,"corporation":false,"usgs":false,"family":"Bakker","given":"Elisabeth","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":762652,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brederveld, Robert J.","contributorId":215554,"corporation":false,"usgs":false,"family":"Brederveld","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":39278,"text":"Witteveen+Bos, Consulting Engineers, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":762648,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","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":762645,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Janse, Jan H.","contributorId":215555,"corporation":false,"usgs":false,"family":"Janse","given":"Jan","email":"","middleInitial":"H.","affiliations":[{"id":39277,"text":"Dept. of Aquatic Ecology, Netherlands Institute of Ecology, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":762649,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mooij, Wolf M.","contributorId":215556,"corporation":false,"usgs":false,"family":"Mooij","given":"Wolf","email":"","middleInitial":"M.","affiliations":[{"id":39277,"text":"Dept. of Aquatic Ecology, Netherlands Institute of Ecology, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":762650,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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