{"pageNumber":"1071","pageRowStart":"26750","pageSize":"25","recordCount":184918,"records":[{"id":70179077,"text":"70179077 - 2016 - Do water level fluctuations influence production of walleye and yellow perch young-of-the-year in large northern lakes?","interactions":[],"lastModifiedDate":"2016-12-15T15:27:17","indexId":"70179077","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Do water level fluctuations influence production of walleye and yellow perch young-of-the-year in large northern lakes?","docAbstract":"<p><span>Many ecological processes depend on the regular rise and fall of water levels (WLs), and artificial manipulations to WL regimes can impair important ecosystem services. Previous research has suggested that differences in WL between late summer and early spring may alter the suitability of shoals used by Walleyes </span><i>Sander vitreus</i><span> for spawning. Other species, such as the Yellow Perch </span><i>Perca flavescens</i><span>, are unlikely to be affected in the same way by WL fluctuations because their spawning requirements are quite different. We used 11–23 years of data from six northern Minnesota lakes to assess the effects of WL fluctuations on the abundances of young-of-the-year (age-0) Walleyes and Yellow Perch. In two lakes (Rainy Lake and Lake Kabetogama), a change in WL management occurred in 2000, after which these lakes saw increased age-0 Walleye abundance, while the other study lakes experienced decreases or no change. Rainy Lake and Lake Kabetogama also had increases in age-0 Yellow Perch, but another study lake did also. We used partial least-squares regression to assess whether WL metrics were associated with variation in age-0 Walleye and Yellow Perch abundances, but WL metrics were seldom associated with age-0 abundance for either species. Our analysis suggested a potential influence of WL regulation on age-0 Walleye abundance, but we found no evidence that early spring access to spawning shoals was the mechanism by which this occurred.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2016.1214645","usgsCitation":"Larson, J.H., Staples, D.F., Maki, R., Vallazza, J., Knights, B.C., and Peterson, K.E., 2016, Do water level fluctuations influence production of walleye and yellow perch young-of-the-year in large northern lakes?: North American Journal of Fisheries Management, v. 36, no. 6, p. 1425-1436, https://doi.org/10.1080/02755947.2016.1214645.","productDescription":"12 p.","startPage":"1425","endPage":"1436","ipdsId":"IP-061712","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":488545,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/dataset/Do_Water_Level_Fluctuations_Influence_Production_of_Walleye_and_Yellow_Perch_Young-of-the-Year_in_Large_Northern_Lakes_/4223739","text":"External Repository"},{"id":332190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-10","publicationStatus":"PW","scienceBaseUri":"5853ba40e4b0e2663625f2b8","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Staples, David F.","contributorId":150561,"corporation":false,"usgs":false,"family":"Staples","given":"David","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":655944,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maki, Ryan P.","contributorId":100111,"corporation":false,"usgs":true,"family":"Maki","given":"Ryan P.","affiliations":[],"preferred":false,"id":655945,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vallazza, Jon M. jvallazza@usgs.gov","contributorId":139282,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jon M.","email":"jvallazza@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":655946,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knights, Brent C. 0000-0001-8526-8468 bknights@usgs.gov","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":2906,"corporation":false,"usgs":true,"family":"Knights","given":"Brent","email":"bknights@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655947,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, Kevin E.","contributorId":177489,"corporation":false,"usgs":false,"family":"Peterson","given":"Kevin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":655948,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70178360,"text":"70178360 - 2016 - Environmental drivers of differences in microbial community structure in crude oil reservoirs across a methanogenic gradient","interactions":[],"lastModifiedDate":"2016-11-15T11:53:03","indexId":"70178360","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1702,"text":"Frontiers in Microbiology","onlineIssn":"1664-302X","active":true,"publicationSubtype":{"id":10}},"title":"Environmental drivers of differences in microbial community structure in crude oil reservoirs across a methanogenic gradient","docAbstract":"<p><span>Stimulating </span><i>in situ</i><span> microbial communities in oil reservoirs to produce natural gas is a potentially viable strategy for recovering additional fossil fuel resources following traditional recovery operations. Little is known about what geochemical parameters drive microbial population dynamics in biodegraded, methanogenic oil reservoirs. We investigated if microbial community structure was significantly impacted by the extent of crude oil biodegradation, extent of biogenic methane production, and formation water chemistry. Twenty-two oil production wells from north central Louisiana, USA, were sampled for analysis of microbial community structure and fluid geochemistry. Archaea were the dominant microbial community in the majority of the wells sampled. Methanogens, including hydrogenotrophic and methylotrophic organisms, were numerically dominant in every well, accounting for, on average, over 98% of the total Archaea present. The dominant Bacteria groups were </span><i>Pseudomonas, Acinetobacter</i><span>, Enterobacteriaceae, and Clostridiales, which have also been identified in other microbially-altered oil reservoirs. Comparing microbial community structure to fluid (gas, water, and oil) geochemistry revealed that the relative extent of biodegradation, salinity, and spatial location were the major drivers of microbial diversity. Archaeal relative abundance was independent of the extent of methanogenesis, but closely correlated to the extent of crude oil biodegradation; therefore, microbial community structure is likely not a good sole predictor of methanogenic activity, but may predict the extent of crude oil biodegradation. However, when the shallow, highly biodegraded, low salinity wells were excluded from the statistical analysis, no environmental parameters could explain the differences in microbial community structure. This suggests that the microbial community structure of the 5 shallow, up-dip wells was different than the 17 deeper, down-dip wells. Also, the 17 down-dip wells had statistically similar microbial communities despite significant changes in environmental parameters between oil fields. Together, this implies that no single microbial population is a reliable indicator of a reservoir's ability to degrade crude oil to methane, and that geochemistry may be a more important indicator for selecting a reservoir suitable for microbial enhancement of natural gas generation.</span></p>","language":"English","publisher":"frontiers","doi":"10.3389/fmicb.2016.01535","usgsCitation":"Shelton, J., Akob, D.M., McIntosh, J.C., Fierer, N., Spear, J.R., Warwick, P.D., and McCray, J.E., 2016, Environmental drivers of differences in microbial community structure in crude oil reservoirs across a methanogenic gradient: Frontiers in Microbiology, v. 7, Article 1535; 12 p., https://doi.org/10.3389/fmicb.2016.01535.","productDescription":"Article 1535; 12 p.","ipdsId":"IP-079283","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":470454,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2016.01535","text":"Publisher Index Page"},{"id":331007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.40737915039062,\n              31.425733532703752\n            ],\n            [\n              -92.40737915039062,\n              31.809895002118832\n            ],\n            [\n              -91.96105957031249,\n              31.809895002118832\n            ],\n            [\n              -91.96105957031249,\n              31.425733532703752\n            ],\n            [\n              -92.40737915039062,\n              31.425733532703752\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-28","publicationStatus":"PW","scienceBaseUri":"582c2ce4e4b0c253be072c02","contributors":{"authors":[{"text":"Shelton, Jenna L. 0000-0002-1377-0675 jlshelton@usgs.gov","orcid":"https://orcid.org/0000-0002-1377-0675","contributorId":5025,"corporation":false,"usgs":true,"family":"Shelton","given":"Jenna L.","email":"jlshelton@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":653765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Akob, Denise M. 0000-0003-1534-3025 dakob@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":4980,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","email":"dakob@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true}],"preferred":true,"id":653766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McIntosh, Jennifer C.","contributorId":139870,"corporation":false,"usgs":false,"family":"McIntosh","given":"Jennifer","email":"","middleInitial":"C.","affiliations":[{"id":13301,"text":"Department of Hydrology and Water Resources, University of Arizona, Tucson, Arizona","active":true,"usgs":false}],"preferred":false,"id":653767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fierer, Noah","contributorId":138711,"corporation":false,"usgs":false,"family":"Fierer","given":"Noah","email":"","affiliations":[{"id":6713,"text":"University of Colorado, Boulder CO","active":true,"usgs":false}],"preferred":false,"id":653768,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spear, John R.","contributorId":176847,"corporation":false,"usgs":false,"family":"Spear","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":653769,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":653770,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCray, John E.","contributorId":169186,"corporation":false,"usgs":false,"family":"McCray","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":653771,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70192923,"text":"70192923 - 2016 - The Grand Ethiopian Renaissance Dam: Source of cooperation or contention?","interactions":[],"lastModifiedDate":"2017-10-30T14:42:05","indexId":"70192923","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2501,"text":"Journal of Water Resources Planning and Management","active":true,"publicationSubtype":{"id":10}},"title":"The Grand Ethiopian Renaissance Dam: Source of cooperation or contention?","docAbstract":"<p>This paper discusses the challenges and benefits of the Grand Ethiopian Renaissance Dam (GERD), which is under construction and expected to be operational on the Blue Nile River in Ethiopia in a few years. Like many large-scale projects on transboundary rivers, the GERD has been criticized for potentially jeopardizing downstream water security and livelihoods through upstream unilateral decision making. In spite of the contentious nature of the project, the authors argue that this project can provide substantial benefits for regional development. The GERD, like any major river infrastructure project, will undeniably bring about social, environmental, and economic change, and in this unique case has, on balance, the potential to achieve success on all fronts. It must be stressed, however, that strong partnerships between riparian countries are essential. National success is contingent on regional cooperation.</p>","language":"English","publisher":"ASCE","doi":"10.1061/(ASCE)WR.1943-5452.0000708","usgsCitation":"Teferi Taye, M., Tadesse, T., Senay, G., and Block, P., 2016, The Grand Ethiopian Renaissance Dam: Source of cooperation or contention?: Journal of Water Resources Planning and Management, v. 142, no. 11, p. 1-5, https://doi.org/10.1061/(ASCE)WR.1943-5452.0000708.","productDescription":"Article  02516001; 5 p.","startPage":"1","endPage":"5","ipdsId":"IP-072208","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":347722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Nile Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              24.8291015625,\n              -2.986927393334863\n            ],\n            [\n              36.73828124999999,\n              -2.986927393334863\n            ],\n            [\n              36.73828124999999,\n              31.39115752282472\n            ],\n            [\n              24.8291015625,\n              31.39115752282472\n            ],\n            [\n              24.8291015625,\n              -2.986927393334863\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"142","issue":"11","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f83a3ae4b063d5d30980fd","contributors":{"authors":[{"text":"Teferi Taye, Meron","contributorId":198997,"corporation":false,"usgs":false,"family":"Teferi Taye","given":"Meron","email":"","affiliations":[],"preferred":false,"id":717835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tadesse, Tsegaye 0000-0002-4102-1137","orcid":"https://orcid.org/0000-0002-4102-1137","contributorId":147617,"corporation":false,"usgs":false,"family":"Tadesse","given":"Tsegaye","email":"","affiliations":[],"preferred":false,"id":717836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":717360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Block, Paul","contributorId":198998,"corporation":false,"usgs":false,"family":"Block","given":"Paul","email":"","affiliations":[],"preferred":false,"id":717837,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178568,"text":"70178568 - 2016 - Effects of land use and sample location on nitrate-stream flow hysteresis descriptors during storm events","interactions":[],"lastModifiedDate":"2016-12-01T13:38:14","indexId":"70178568","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Effects of land use and sample location on nitrate-stream flow hysteresis descriptors during storm events","docAbstract":"<p><span>The U.S. Geological Survey's New Jersey and Iowa Water Science Centers deployed ultraviolet-visible spectrophotometric sensors at water-quality monitoring sites on the Passaic and Pompton Rivers at Two Bridges, New Jersey, on Toms River at Toms River, New Jersey, and on the North Raccoon River near Jefferson, Iowa to continuously measure in-stream nitrate plus nitrite as nitrogen (NO</span><sub>3</sub><span>&nbsp;+&nbsp;NO</span><sub>2</sub><span>) concentrations in conjunction with continuous stream flow measurements. Statistical analysis of NO</span><sub>3</sub><span>&nbsp;+&nbsp;NO</span><sub>2</sub> <i>vs</i><span>. stream discharge during storm events found statistically significant links between land use types and sampling site with the normalized area and rotational direction of NO</span><sub>3</sub><span>&nbsp;+&nbsp;NO</span><sub>2</sub><span>-stream discharge (N-Q) hysteresis patterns. Statistically significant relations were also found between the normalized area of a hysteresis pattern and several flow parameters as well as the normalized area adjusted for rotational direction and minimum NO</span><sub>3</sub><span>&nbsp;+&nbsp;NO</span><sub>2</sub><span> concentrations. The mean normalized hysteresis area for forested land use was smaller than that of urban and agricultural land uses. The hysteresis rotational direction of the agricultural land use was opposite of that of the urban and undeveloped land uses. An </span><i>r</i><sup>2</sup><span> of 0.81 for the relation between the minimum normalized NO</span><sub>3</sub><span>&nbsp;+&nbsp;NO</span><sub>2</sub><span> concentration during a storm </span><i>vs</i><span>. the normalized NO</span><sub>3</sub><span>&nbsp;+&nbsp;NO</span><sub>2</sub><span> concentration at peak flow suggested that dilution was the dominant process controlling NO</span><sub>3</sub><span>&nbsp;+&nbsp;NO</span><sub>2</sub><span> concentrations over the course of most storm events.</span></p>","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.12477","usgsCitation":"Feinson, L.S., Gibs, J., Imbrigiotta, T., and Garrett, J.D., 2016, Effects of land use and sample location on nitrate-stream flow hysteresis descriptors during storm events: Journal of the American Water Resources Association, v. 52, no. 6, p. 1493-1508, https://doi.org/10.1111/1752-1688.12477.","productDescription":"16 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jgarrett@usgs.gov","orcid":"https://orcid.org/0000-0002-4466-3709","contributorId":4229,"corporation":false,"usgs":true,"family":"Garrett","given":"Jessica","email":"jgarrett@usgs.gov","middleInitial":"D.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654485,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192862,"text":"70192862 - 2016 - Influence of anglers' specializations on catch, harvest, and bycatch of targeted taxa","interactions":[],"lastModifiedDate":"2017-11-08T12:18:59","indexId":"70192862","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Influence of anglers' specializations on catch, harvest, and bycatch of targeted taxa","docAbstract":"<p><span>Fishery managers often use catch per unit effort (CPUE) of a given taxon derived from a group of anglers, those that sought said taxon, to evaluate fishery objectives because managers assume CPUE for this group of anglers is most sensitive to changes in fish taxon density. Further, likelihood of harvest may differ for sought and non-sought taxa if taxon sought is a defining characteristic of anglers’ attitude toward harvest. We predicted that taxon-specific catch across parties and reservoirs would be influenced by targeted taxon after controlling for number of anglers in a party and time spent fishing (combine to quantify fishing effort of party); we also predicted similar trends for taxon-specific harvest. We used creel-survey data collected from anglers that varied in taxon targeted, from generalists (targeting “anything” [no primary target taxa, but rather targeting all fishes]) to target specialists (e.g., anglers targeting largemouth bass&nbsp;</span><i>Micropterus salmoides</i><span>) in 19 Nebraska reservoirs during 2009–2011 to test our predictions. Taxon-specific catch and harvest were, in general, positively related to fishing effort. More importantly, we observed differences of catch and harvest among anglers grouped by taxon targeted for each of the eight taxa assessed. Anglers targeting a specific taxon had the greatest catch for that taxon and anglers targeting anything typically had the second highest catch for that taxon. In addition, anglers tended to catch more of closely related taxa and of taxa commonly targeted with similar fishing techniques. We encourage managers to consider taxon-specific objectives of target and non-target catch and harvest.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2016.05.025","usgsCitation":"Pope, K.L., Chizinski, C.J., Wiley, C.L., and Martin, D., 2016, Influence of anglers' specializations on catch, harvest, and bycatch of targeted taxa: Fisheries Research, v. 183, p. 128-137, https://doi.org/10.1016/j.fishres.2016.05.025.","productDescription":"10 p.","startPage":"128","endPage":"137","ipdsId":"IP-054691","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"183","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425bee4b0dc0b45b453df","contributors":{"authors":[{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chizinski, Christopher J.","contributorId":7178,"corporation":false,"usgs":false,"family":"Chizinski","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiley, Christopher L.","contributorId":200145,"corporation":false,"usgs":false,"family":"Wiley","given":"Christopher","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Dustin R.","contributorId":43482,"corporation":false,"usgs":true,"family":"Martin","given":"Dustin R.","affiliations":[],"preferred":false,"id":721119,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178010,"text":"70178010 - 2016 - Effects of consumption-oriented versus trophy-oriented fisheries on Muskellunge population size structure in northern Wisconsin","interactions":[],"lastModifiedDate":"2016-11-01T13:56:10","indexId":"70178010","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of consumption-oriented versus trophy-oriented fisheries on Muskellunge population size structure in northern Wisconsin","docAbstract":"<p><span>To determine whether a consumption-oriented fishery was compatible with a trophy-oriented fishery for Muskellunge </span><i>Esox masquinongy</i><span>, we modeled effects of a spearing fishery and recreational angling fishery on population size structure (i.e., numbers of fish ≥ 102, 114, and 127 cm) in northern Wisconsin. An individual-based simulation model was used to quantify the effect of harvest mortality at currently observed levels of recreational angling and tribal spearing fishery exploitation, along with simulated increases in exploitation, for three typical growth potentials (i.e., low, moderate, and high) of Muskellunge in northern Wisconsin across a variety of minimum length limits (i.e., 71, 102, 114, and 127 cm). Populations with moderate to high growth potential and minimum length limits ≥ 114 cm were predicted to have lower declines in numbers of trophy Muskellunge when subjected to angling-only and mixed fisheries at observed and increased levels of exploitation, which suggested that fisheries with disparate motivations may be able to coexist under certain conditions such as restrictive length limits and low levels of exploitation. However, for most Muskellunge populations in northern Wisconsin regulated by a 102-cm minimum length limit, both angling and spearing fisheries may reduce numbers of trophy Muskellunge as larger declines were predicted across all growth potentials. Our results may be useful if Muskellunge management options in northern Wisconsin are re-examined in the future.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1214646","usgsCitation":"Faust, M.D., and Hansen, M.J., 2016, Effects of consumption-oriented versus trophy-oriented fisheries on Muskellunge population size structure in northern Wisconsin: North American Journal of Fisheries Management, v. 36, no. 6, p. 1336-1346, https://doi.org/10.1080/02755947.2016.1214646.","productDescription":"11 p.","startPage":"1336","endPage":"1346","ipdsId":"IP-075344","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":330629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-28","publicationStatus":"PW","scienceBaseUri":"5819a9c2e4b0bb36a4c9100f","contributors":{"authors":[{"text":"Faust, Matthew D.","contributorId":145776,"corporation":false,"usgs":false,"family":"Faust","given":"Matthew","email":"","middleInitial":"D.","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":652538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":652537,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178027,"text":"70178027 - 2016 - Analyses of infrequent (quasi-decadal) large groundwater recharge events in the northern Great Basin: Their importance for groundwater availability, use, and management","interactions":[],"lastModifiedDate":"2017-01-11T16:32:00","indexId":"70178027","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","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":"Analyses of infrequent (quasi-decadal) large groundwater recharge events in the northern Great Basin: Their importance for groundwater availability, use, and management","docAbstract":"<p><span>There has been a considerable amount of research linking climatic variability to hydrologic responses in the western United States. Although much effort has been spent to assess and predict changes in surface water resources, little has been done to understand how climatic events and changes affect groundwater resources. This study focuses on characterizing and quantifying the effects of large, multiyear, quasi-decadal groundwater recharge events in the northern Utah portion of the Great Basin for the period 1960–2013. Annual groundwater level data were analyzed with climatic data to characterize climatic conditions and frequency of these large recharge events. Using observed water-level changes and multivariate analysis, five large groundwater recharge events were identified with a frequency of about 11–13 years. These events were generally characterized as having above-average annual precipitation and snow water equivalent and below-average seasonal temperatures, especially during the spring (April through June). Existing groundwater flow models for several basins within the study area were used to quantify changes in groundwater storage from these events. Simulated groundwater storage increases per basin from a single recharge event ranged from about 115 to 205 Mm</span><sup>3</sup><span>. Extrapolating these amounts over the entire northern Great Basin indicates that a single large quasi-decadal recharge event could result in billions of cubic meters of groundwater storage. Understanding the role of these large quasi-decadal recharge events in replenishing aquifers and sustaining water supplies is crucial for long-term groundwater management.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2016WR019060","usgsCitation":"Masbruch, M.D., Rumsey, C., Gangopadhyay, S., Susong, D.D., and Pruitt, T., 2016, Analyses of infrequent (quasi-decadal) large groundwater recharge events in the northern Great Basin: Their importance for groundwater availability, use, and management: Water Resources Research, v. 52, no. 10, p. 7819-7836, https://doi.org/10.1002/2016WR019060.","productDescription":"18 p.","startPage":"7819","endPage":"7836","ipdsId":"IP-069809","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":470453,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr019060","text":"Publisher Index Page"},{"id":330630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.08203125,\n              38.47939467327645\n            ],\n            [\n              -114.08203125,\n              42.00032514831621\n            ],\n            [\n              -109.0283203125,\n              42.00032514831621\n            ],\n            [\n              -109.0283203125,\n              38.47939467327645\n            ],\n            [\n              -114.08203125,\n              38.47939467327645\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"52","issue":"10","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-11","publicationStatus":"PW","scienceBaseUri":"5819a9c2e4b0bb36a4c9100d","contributors":{"authors":[{"text":"Masbruch, Melissa D. 0000-0001-6568-160X mmasbruch@usgs.gov","orcid":"https://orcid.org/0000-0001-6568-160X","contributorId":1902,"corporation":false,"usgs":true,"family":"Masbruch","given":"Melissa","email":"mmasbruch@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rumsey, Christine 0000-0001-7536-750X crumsey@usgs.gov","orcid":"https://orcid.org/0000-0001-7536-750X","contributorId":146240,"corporation":false,"usgs":true,"family":"Rumsey","given":"Christine","email":"crumsey@usgs.gov","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gangopadhyay, Subhrendu 0000-0003-3864-8251","orcid":"https://orcid.org/0000-0003-3864-8251","contributorId":173439,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Subhrendu","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":652544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Susong, David D. ddsusong@usgs.gov","contributorId":1040,"corporation":false,"usgs":true,"family":"Susong","given":"David","email":"ddsusong@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pruitt, Tom 0000-0002-3543-1324","orcid":"https://orcid.org/0000-0002-3543-1324","contributorId":173440,"corporation":false,"usgs":false,"family":"Pruitt","given":"Tom","email":"","affiliations":[{"id":27228,"text":"Reclamation","active":true,"usgs":false}],"preferred":false,"id":652546,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178547,"text":"70178547 - 2016 - Development of novel microsatellite markers for the Northern Goshawk (<i>Accipiter gentilis</i>) and their utility in cross-species amplification","interactions":[],"lastModifiedDate":"2018-05-20T18:23:09","indexId":"70178547","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":946,"text":"Avian Biology Research","active":true,"publicationSubtype":{"id":10}},"title":"Development of novel microsatellite markers for the Northern Goshawk (<i>Accipiter gentilis</i>) and their utility in cross-species amplification","docAbstract":"<p><span>The Northern Goshawk (</span><i>Accipiter gentilis</i><span>) is a large forest raptor with a Holarctic distribution and, in some portions of its range, a species of conservation concern. To augment previously reported genetic markers, 13 novel polymorphic microsatellite markers were developed to establish individual identification and familial relationships, to assess levels of genetic diversity, and to identify diagnostic markers. Of the 22 loci tested, 13 were polymorphic, seven were monomorphic, and two failed to amplify. This suite of microsatellite loci yielded a combined probability of parental exclusion of 98%; a single individual sampled from a North American population can be reliably identified using a combination of seven of the 13 polymorphic loci. Cross-species screening in Cooper's Hawks (</span><i>A. cooperii</i><span>) and Sharp-shinned Hawks (</span><i>A. striatus</i><span>) of the 20 loci that successfully amplified in Northern Goshawks identified 13 loci as polymorphic in each species. Six of these loci (Age1303, Age1308, Age1309, Age1312, and Age1314) appeared to be useful in distinguishing between </span><i>Accipiter</i><span> species. These markers will be useful to researchers investigating populations of North American accipiters.</span></p>","language":"English","publisher":"Ingenta","doi":"10.3184/175815516X14667737479433","usgsCitation":"Haughey, C., Sage, G.K., Degange, G., Sonsthagen, S.A., and Talbot, S.L., 2016, Development of novel microsatellite markers for the Northern Goshawk (<i>Accipiter gentilis</i>) and their utility in cross-species amplification: Avian Biology Research, v. 9, no. 3, p. 195-199, https://doi.org/10.3184/175815516X14667737479433.","productDescription":"5 p.","startPage":"195","endPage":"199","ipdsId":"IP-067355","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":438518,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U28F8X","text":"USGS data release","linkHelpText":"Genetic Data from Three Accipiter Species, North America, 1996-2014"},{"id":331237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-03","publicationStatus":"PW","scienceBaseUri":"583d5032e4b0d9329c80c59b","contributors":{"authors":[{"text":"Haughey, Christy 0000-0002-4846-6008 chaughey@usgs.gov","orcid":"https://orcid.org/0000-0002-4846-6008","contributorId":204657,"corporation":false,"usgs":false,"family":"Haughey","given":"Christy","email":"chaughey@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":654312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sage, George K. 0000-0003-1431-2286 ksage@usgs.gov","orcid":"https://orcid.org/0000-0003-1431-2286","contributorId":87833,"corporation":false,"usgs":true,"family":"Sage","given":"George","email":"ksage@usgs.gov","middleInitial":"K.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":654313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Degange, Gabriel gdegange@usgs.gov","contributorId":177022,"corporation":false,"usgs":true,"family":"Degange","given":"Gabriel","email":"gdegange@usgs.gov","affiliations":[],"preferred":true,"id":654314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":654315,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":654316,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178032,"text":"70178032 - 2016 - King Rail (Rallus elegans) Nesting and Brood Rearing Ecology at Red Slough WMA, SE Oklahoma","interactions":[],"lastModifiedDate":"2016-11-01T13:47:25","indexId":"70178032","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"King Rail (Rallus elegans) Nesting and Brood Rearing Ecology at Red Slough WMA, SE Oklahoma","language":"English","publisher":"The Waterbird Society","publisherLocation":"Waco, TX","doi":"10.1675/063.039.0303","usgsCitation":"Krementz, D.G., Willard, K.L., Carroll, M., and Dugger, K.M., 2016, King Rail (Rallus elegans) Nesting and Brood Rearing Ecology at Red Slough WMA, SE Oklahoma: Waterbirds, v. 39, no. 3, p. 241-249, https://doi.org/10.1675/063.039.0303.","productDescription":"9 p.","startPage":"241","endPage":"249","numberOfPages":"9","ipdsId":"IP-069899","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470464,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1675/063.039.0303","text":"Publisher Index Page"},{"id":330626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Studies conducted primarily in southeastern 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M.","contributorId":16137,"corporation":false,"usgs":true,"family":"Carroll","given":"M.","email":"","affiliations":[],"preferred":false,"id":652655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugger, Katie M. 0000-0002-4148-246X","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":36037,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"","middleInitial":"M.","affiliations":[{"id":517,"text":"Oregon Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":652656,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178036,"text":"70178036 - 2016 - Organizing environmental flow frameworks to meet hydropower mitigation needs","interactions":[],"lastModifiedDate":"2016-11-01T13:30:46","indexId":"70178036","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Organizing environmental flow frameworks to meet hydropower mitigation needs","docAbstract":"<p><span>The global recognition of the importance of natural flow regimes to sustain the ecological integrity of river systems has led to increased societal pressure on the hydropower industry to change plant operations to improve downstream aquatic ecosystems. However, a complete reinstatement of natural flow regimes is often unrealistic when balancing water needs for ecosystems, energy production, and other human uses. Thus, stakeholders must identify a prioritized subset of flow prescriptions that meet ecological objectives in light of realistic constraints. Yet, isolating aspects of flow regimes to restore downstream of hydropower facilities is among the greatest challenges of environmental flow science due, in part, to the sheer volume of available environmental flow tools in conjunction with complex negotiation-based regulatory procedures. Herein, we propose an organizational framework that structures information and existing flow paradigms into a staged process that assists stakeholders in implementing environmental flows for hydropower facilities. The framework identifies areas where regulations fall short of the needed scientific process, and provide suggestions for stakeholders to ameliorate those situations through advanced preparation. We highlight the strengths of existing flow paradigms in their application to hydropower settings and suggest when and where tools are most applicable. Our suggested framework increases the effectiveness and efficiency of the e-flow implementation process by rapidly establishing a knowledge base and decreasing uncertainty so more time can be devoted to filling knowledge gaps. Lastly, the framework provides the structure for a coordinated research agenda to further the science of environmental flows related to hydropower environments.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00267-016-0726-y","usgsCitation":"McManamay, R.A., Brewer, S.K., Jager, H., and Troia, M.J., 2016, Organizing environmental flow frameworks to meet hydropower mitigation needs: Environmental Management, v. 58, no. 3, p. 365-385, https://doi.org/10.1007/s00267-016-0726-y.","productDescription":"21 p.","startPage":"365","endPage":"385","ipdsId":"IP-069487","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470465,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1260072","text":"External Repository"},{"id":330622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-25","publicationStatus":"PW","scienceBaseUri":"5819a9c1e4b0bb36a4c91009","contributors":{"authors":[{"text":"McManamay, Ryan A.","contributorId":176519,"corporation":false,"usgs":false,"family":"McManamay","given":"Ryan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":652647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":652580,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jager, Henriette","contributorId":167339,"corporation":false,"usgs":false,"family":"Jager","given":"Henriette","affiliations":[{"id":24694,"text":"Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN","active":true,"usgs":false}],"preferred":false,"id":652648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Troia, Matthew J.","contributorId":176520,"corporation":false,"usgs":false,"family":"Troia","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":652649,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70185051,"text":"70185051 - 2016 - Estimation of time-variable fast flow path chemical concentrations for application in tracer-based hydrograph separation analyses","interactions":[],"lastModifiedDate":"2017-03-13T16:21:41","indexId":"70185051","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","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":"Estimation of time-variable fast flow path chemical concentrations for application in tracer-based hydrograph separation analyses","docAbstract":"<p><span>Mixing models are a commonly used method for hydrograph separation, but can be hindered by the subjective choice of the end-member tracer concentrations. This work tests a new variant of mixing model that uses high-frequency measures of two tracers and streamflow to separate total streamflow into water from slowflow and fastflow sources. The ratio between the concentrations of the two tracers is used to create a time-variable estimate of the concentration of each tracer in the fastflow end-member. Multiple synthetic data sets, and data from two hydrologically diverse streams, are used to test the performance and limitations of the new model (two-tracer ratio-based mixing model: TRaMM). When applied to the synthetic streams under many different scenarios, the TRaMM produces results that were reasonable approximations of the actual values of fastflow discharge (±0.1% of maximum fastflow) and fastflow tracer concentrations (±9.5% and ±16% of maximum fastflow nitrate concentration and specific conductance, respectively). With real stream data, the TRaMM produces high-frequency estimates of slowflow and fastflow discharge that align with expectations for each stream based on their respective hydrologic settings. The use of two tracers with the TRaMM provides an innovative and objective approach for estimating high-frequency fastflow concentrations and contributions of fastflow water to the stream. This provides useful information for tracking chemical movement to streams and allows for better selection and implementation of water quality management strategies.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2016WR018797","usgsCitation":"Kronholm, S.C., and Capel, P.D., 2016, Estimation of time-variable fast flow path chemical concentrations for application in tracer-based hydrograph separation analyses: Water Resources Research, v. 52, no. 9, p. 6881-6896, https://doi.org/10.1002/2016WR018797.","productDescription":"16 p.","startPage":"6881","endPage":"6896","ipdsId":"IP-075597","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":470473,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr018797","text":"Publisher Index Page"},{"id":438519,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71R6NMQ","text":"USGS data release","linkHelpText":"Real and synthetic data used to test the Two-tracer Ratio-based Mixing Model (TRaMM)"},{"id":337470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-10","publicationStatus":"PW","scienceBaseUri":"58c7af9ee4b0849ce9795e8e","contributors":{"authors":[{"text":"Kronholm, Scott C.","contributorId":184190,"corporation":false,"usgs":false,"family":"Kronholm","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":684079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Capel, Paul D. 0000-0003-1620-5185 capel@usgs.gov","orcid":"https://orcid.org/0000-0003-1620-5185","contributorId":1002,"corporation":false,"usgs":true,"family":"Capel","given":"Paul","email":"capel@usgs.gov","middleInitial":"D.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":684078,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70185036,"text":"70185036 - 2016 - Review of footnotes and annotations to the 1949–2013 tables of standard atomic weights and tables of isotopic compositions of the elements (IUPAC Technical Report)","interactions":[],"lastModifiedDate":"2017-03-13T16:56:17","indexId":"70185036","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3207,"text":"Pure and Applied Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Review of footnotes and annotations to the 1949–2013 tables of standard atomic weights and tables of isotopic compositions of the elements (IUPAC Technical Report)","docAbstract":"<p><span>The Commission on Isotopic Abundances and Atomic Weights uses annotations given in footnotes that are an integral part of the Tables of Standard Atomic Weights to alert users to the possibilities of quite extraordinary occurrences, as well as sources with abnormal atomic-weight values outside an otherwise acceptable range. The basic need for footnotes to the Standard Atomic Weights Table and equivalent annotations to the Table of Isotopic Compositions of the Elements arises from the necessity to provide users with information that is relevant to one or more elements, but that cannot be provided using numerical data in columns. Any desire to increase additional information conveyed by annotations to these Tables is tempered by the need to preserve a compact format and a style that can alert users, who would not be inclined to consult either the last full element-by-element review or the full text of a current Standard Atomic Weights of the Elements report. Since 1989, the footnotes of the Tables of Standard Atomic Weights and the annotations in column 5 of the Table of Isotopic Compositions of the Elements have been harmonized by use of three lowercase footnotes, “g”, “m”, and “r”, that signify geologically exceptionally specimens (“g”), modified isotopic compositions in material subjected to undisclosed or inadvertent isotopic fractionation (“m”), and the range in isotopic composition of normal terrestrial material prevents more precise atomic-weight value being given (“r”). As some elements are assigned intervals for their standard atomic-weight values (applies to 12 elements since 2009), footnotes “g” and “r” are no longer needed for these elements.</span></p>","language":"English","publisher":"IUPAC","doi":"10.1515/pac-2016-0203","usgsCitation":"Coplen, T.B., and Holden, N.E., 2016, Review of footnotes and annotations to the 1949–2013 tables of standard atomic weights and tables of isotopic compositions of the elements (IUPAC Technical Report): Pure and Applied Chemistry, v. 88, no. 7, p. 689-699, https://doi.org/10.1515/pac-2016-0203.","productDescription":"11 p.","startPage":"689","endPage":"699","ipdsId":"IP-072769","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470470,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1515/pac-2016-0203","text":"Publisher Index Page"},{"id":337476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-28","publicationStatus":"PW","scienceBaseUri":"58c7af9fe4b0849ce9795e94","contributors":{"authors":[{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":684029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holden, Norman E.","contributorId":189167,"corporation":false,"usgs":false,"family":"Holden","given":"Norman","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":684030,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175441,"text":"70175441 - 2016 - Low-cost floating emergence net and bottle trap: Comparison of two designs","interactions":[],"lastModifiedDate":"2018-08-09T12:03:59","indexId":"70175441","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Low-cost floating emergence net and bottle trap: Comparison of two designs","docAbstract":"<p><span>Sampling emergent aquatic insects is of interest to many freshwater ecologists. Many quantitative emergence traps require the use of aspiration for collection. However, aspiration is infeasible in studies with large amounts of replication that is often required in large biomonitoring projects. We designed an economic, collapsible pyramid-shaped floating emergence trap with an external collection bottle that avoids the need for aspiration. This design was compared experimentally to a design of similar dimensions that relied on aspiration to ensure comparable results. The pyramid-shaped design captured twice as many total emerging insects. When a preservative was used in bottle collectors, &gt;95% of the emergent abundance was collected in the bottle. When no preservative was used, &gt;81% of the total insects were collected from the bottle. In addition to capturing fewer emergent insects, the traps that required aspiration took significantly longer to sample. Large studies and studies sampling remote locations could benefit from the economical construction, speed of sampling, and capture efficiency.</span></p>","language":"English","publisher":"Taylor & Francis Online","doi":"10.1080/02705060.2016.1217944","usgsCitation":"Cadmus, P., Pomeranz, J., and Kraus, J.M., 2016, Low-cost floating emergence net and bottle trap: Comparison of two designs: Journal of Freshwater Ecology, v. 31, no. 4, p. 653-658, https://doi.org/10.1080/02705060.2016.1217944.","productDescription":"6 p.","startPage":"653","endPage":"658","ipdsId":"IP-066057","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":470459,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2016.1217944","text":"Publisher Index Page"},{"id":332580,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-12","publicationStatus":"PW","scienceBaseUri":"5864dd4fe4b0cd2dabe7c1cf","contributors":{"authors":[{"text":"Cadmus, Pete","contributorId":173609,"corporation":false,"usgs":false,"family":"Cadmus","given":"Pete","email":"","affiliations":[{"id":27254,"text":"Colorado Parks and Wildlife; Colorado State University","active":true,"usgs":false}],"preferred":false,"id":645240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pomeranz, Justin jpomeranz@usgs.gov","contributorId":173608,"corporation":false,"usgs":true,"family":"Pomeranz","given":"Justin","email":"jpomeranz@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":645239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraus, Johanna M. 0000-0002-9513-4129 jkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-9513-4129","contributorId":4834,"corporation":false,"usgs":true,"family":"Kraus","given":"Johanna","email":"jkraus@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":645238,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70182736,"text":"70182736 - 2016 - Climate-change signals in national atmospheric deposition program precipitation data","interactions":[],"lastModifiedDate":"2017-02-27T15:22:19","indexId":"70182736","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1248,"text":"Climate Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Climate-change signals in national atmospheric deposition program precipitation data","docAbstract":"<p><span>National Atmospheric Deposition Program (NADP)/National Trends Network precipitation type, snow-season duration, and annual timing of selected chemical wet-deposition maxima vary with latitude and longitude within a 35-year (1979–2013) data record for the contiguous United States and Alaska. From the NADP data collected within the region bounded by 35.6645°–48.782° north latitude and 124°–68° west longitude, similarities in latitudinal and longitudinal patterns of changing snow-season duration, fraction of annual precipitation recorded as snow, and the timing of chemical wet-deposition maxima, suggest that the chemical climate of the atmosphere is linked to physical changes in climate. Total annual precipitation depth has increased 4–6&nbsp;% while snow season duration has decreased from approximately 7 to 21&nbsp;days across most of the USA, except in higher elevation regions where it has increased by as much as 21&nbsp;days. Snow-season precipitation is increasingly comprised of snow, but annually total precipitation is increasingly comprised of liquid precipitation. Meanwhile, maximum ammonium deposition occurs as much as 27&nbsp;days earlier, and the maximum nitrate: sulfate concentration ratio in wet-deposition occurs approximately 10–21&nbsp;days earlier in the year. The maximum crustal (calcium&nbsp;+&nbsp;magnesium&nbsp;+&nbsp;potassium) cation deposition occurs 2–35&nbsp;days earlier in the year. The data suggest that these shifts in the timing of atmospheric wet deposition are linked to a warming climate, but the ecological consequences are uncertain.</span></p>","language":"English","publisher":"Springer-Verlag ","doi":"10.1007/s00382-016-3017-7","usgsCitation":"Wetherbee, G.A., and Mast, M.A., 2016, Climate-change signals in national atmospheric deposition program precipitation data: Climate Dynamics, v. 47, no. 9, p. 3141-3155, https://doi.org/10.1007/s00382-016-3017-7.","productDescription":"15 p. ","startPage":"3141","endPage":"3155","ipdsId":"IP-061492","costCenters":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"links":[{"id":336302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-29","publicationStatus":"PW","scienceBaseUri":"58b548bde4b01ccd54fddfa8","chorus":{"doi":"10.1007/s00382-016-3017-7","url":"http://dx.doi.org/10.1007/s00382-016-3017-7","publisher":"Springer Nature","authors":"Wetherbee Gregory A., Mast M. Alisa","journalName":"Climate Dynamics","publicationDate":"2/29/2016","auditedOn":"8/1/2016","publiclyAccessibleDate":"2/29/2016"},"contributors":{"authors":[{"text":"Wetherbee, Gregory A. 0000-0002-6720-2294 wetherbe@usgs.gov","orcid":"https://orcid.org/0000-0002-6720-2294","contributorId":1044,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory","email":"wetherbe@usgs.gov","middleInitial":"A.","affiliations":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"preferred":true,"id":673508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":673509,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70182733,"text":"70182733 - 2016 - Three whole-wood isotopic reference materials, USGS54, USGS55, and USGS56, for δ2H, δ13C, δ15N, and δ18O measurements","interactions":[],"lastModifiedDate":"2017-02-27T15:26:51","indexId":"70182733","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Three whole-wood isotopic reference materials, USGS54, USGS55, and USGS56, for δ2H, δ13C, δ15N, and δ18O measurements","docAbstract":"<p id=\"sp0070\">Comparative measurements of stable hydrogen and oxygen isotopes in wood are hampered by the lack of proper reference materials (RMs). The U.S. Geological Survey (USGS) has prepared three powdered, whole-wood RMs, USGS54 (<i>Pinus contorta</i>, Canadian lodgepole pine), USGS55 (<i>Cordia</i> cf. <i>dodecandra</i>, Mexican ziricote), and USGS56 (<i>Berchemia</i> cf. <i>zeyheri</i>, South African red ivorywood). The stable isotopes of hydrogen, oxygen, carbon, and nitrogen in these RMs span ranges as <i>δ</i><sup>2</sup>H<sub>VSMOW</sub> from –150.4 to –28.2&nbsp;mUr or ‰, as <i>δ</i><sup>18</sup>O<sub>VSMOW</sub> from +&nbsp;17.79 to +&nbsp;27.23&nbsp;mUr, as <i>δ</i><sup>13</sup>C<sub>VPDB</sub> from –27.13 to –24.34&nbsp;mUr, and as <i>δ</i><sup>15</sup>N <sub>AIR-N2</sub> from –2.42 to +&nbsp;1.8&nbsp;mUr. These RMs will enable users to normalize measurements of wood samples to isotope–delta scales, and they are intended primarily for the normalization of <i>δ</i><sup>2</sup>H and <i>δ</i><sup>18</sup>O measurements of unknown wood samples. However, they also are suitable for normalization of stable isotope measurements of carbon and nitrogen in wood samples. In addition, these RMs are suitable for inter-laboratory calibration for the dual-water suilibration procedure for the measurements of <i>δ</i><sup>2</sup>H<sub>VSMOW</sub> values of non-exchangeable hydrogen. The isotopic compositions with 1-σ uncertainties, mass fractions of each element, and fractions of exchangeable hydrogen of these materials are:</p><p id=\"sp0075\">USGS54 (<i>Pinus contorta</i>, Canadian Lodgepole pine)</p><p id=\"sp0080\"><i>δ</i><sup>2</sup>H<sub>VSMOW</sub>&nbsp;=&nbsp;–150.4&nbsp;±&nbsp;1.1&nbsp;mUr (n&nbsp;=&nbsp;29), hydrogen mass fraction&nbsp;=&nbsp;6.00&nbsp;±&nbsp;0.04 % (n&nbsp;=&nbsp;10)</p><p id=\"sp0085\">Fraction of exchangeable hydrogen&nbsp;=&nbsp;5.4&nbsp;±&nbsp;0.6 % (n&nbsp;=&nbsp;29)</p><p id=\"sp0090\"><i>δ</i><sup>18</sup>O<sub>VSMOW</sub>&nbsp;=&nbsp;+&nbsp;17.79&nbsp;±&nbsp;0.15&nbsp;mUr (n&nbsp;=&nbsp;18), oxygen mass fraction&nbsp;=&nbsp;40.4&nbsp;±&nbsp;0.2 % (n&nbsp;=&nbsp;6)</p><p id=\"sp0095\"><i>δ</i><sup>13</sup>C<sub>VPDB</sub>&nbsp;=&nbsp;–24.43&nbsp;±&nbsp;0.02&nbsp;mUr (n&nbsp;=&nbsp;18), carbon mass fraction&nbsp;=&nbsp;48.3&nbsp;±&nbsp;0.4 % (n&nbsp;=&nbsp;12)</p><p id=\"sp0100\"><i>δ</i><sup>15</sup>N<sub>AIR-</sub><sub>N2</sub>&nbsp;=&nbsp;–2.42&nbsp;±&nbsp;0.32&nbsp;mUr (n&nbsp;=&nbsp;17), nitrogen mass fraction&nbsp;=&nbsp;0.05 % (n&nbsp;=&nbsp;4)</p><p id=\"sp0105\">USGS55 (<i>Cordia</i> cf. <i>dodecandra</i>, Mexican ziricote)</p><p id=\"sp0110\"><i>δ</i><sup>2</sup>H<sub>VSMOW</sub>&nbsp;=&nbsp;–28.2&nbsp;±&nbsp;1.7&nbsp;mUr (n&nbsp;=&nbsp;30), hydrogen mass fraction&nbsp;=&nbsp;5.65&nbsp;±&nbsp;0.06 % (n&nbsp;=&nbsp;10)</p><p id=\"sp0115\">Fraction of exchangeable hydrogen&nbsp;=&nbsp;4.1&nbsp;±&nbsp;0.5 % (n&nbsp;=&nbsp;30)</p><p id=\"sp0120\"><i>δ</i><sup>18</sup>O<sub>VSMOW</sub>&nbsp;=&nbsp;+&nbsp;19.12&nbsp;±&nbsp;0.07&nbsp;mUr (n&nbsp;=&nbsp;18), oxygen mass fraction&nbsp;=&nbsp;35.3&nbsp;±&nbsp;0.2 % (n&nbsp;=&nbsp;6)</p><p id=\"sp0125\"><i>δ</i><sup>13</sup>C<sub>VPDB</sub>&nbsp;=&nbsp;–27.13&nbsp;± 0.02&nbsp;mUr (n&nbsp;=&nbsp;18), carbon mass fraction&nbsp;=&nbsp;53.3&nbsp;±&nbsp;0.6 % (n&nbsp;=&nbsp;12)</p><p id=\"sp0130\"><i>δ</i><sup>15</sup>N<sub>AIR-N2</sub>&nbsp;=&nbsp;–0.3&nbsp;±&nbsp;0.4&nbsp;mUr (n&nbsp;=&nbsp;16), nitrogen mass fraction&nbsp;=&nbsp;0.25 % (n&nbsp;=&nbsp;4)</p><p id=\"sp0135\">USGS56 (<i>Berchemia</i> cf. <i>zeyheri</i>, South African red ivorywood)</p><p id=\"sp0140\"><i>δ</i><sup>2</sup>H<sub>VSMOW</sub>&nbsp;=&nbsp;–44.0&nbsp;±&nbsp;1.8&nbsp;mUr (n&nbsp;=&nbsp;30), hydrogen mass fraction&nbsp;=&nbsp;5.65&nbsp;±&nbsp;0.05 % (n&nbsp;=&nbsp;10)</p><p id=\"sp0145\">Fraction of exchangeable hydrogen&nbsp;=&nbsp;6.6&nbsp;±&nbsp;0.3 % (n&nbsp;=&nbsp;30)</p><p id=\"sp0150\"><i>δ</i><sup>18</sup>O<sub>VSMOW</sub>&nbsp;=&nbsp;+&nbsp;27.23&nbsp;±&nbsp;0.03&nbsp;mUr (n&nbsp;=&nbsp;12), oxygen mass fraction&nbsp;=&nbsp;41.1&nbsp;±&nbsp;0.2 % (n&nbsp;=&nbsp;6)</p><p id=\"sp0155\"><i>δ</i><sup>13</sup>C<sub>VPDB</sub>&nbsp;=&nbsp;–24.34&nbsp;±&nbsp;0.01&nbsp;mUr (n&nbsp;=&nbsp;12), carbon mass fraction&nbsp;=&nbsp;47.3&nbsp;±&nbsp;0.2 % (n&nbsp;=&nbsp;12)</p><p id=\"sp0160\"><i>δ</i><sup>15</sup>N<sub>AIR-N2</sub>&nbsp;=&nbsp;+&nbsp;1.8&nbsp;±&nbsp;0.4&nbsp;mUr (n&nbsp;=&nbsp;15), nitrogen mass fraction&nbsp;=&nbsp;0.27 % (n&nbsp;=&nbsp;4)</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2016.07.017","usgsCitation":"Qi, H., Coplen, T.B., and Jordan, J.A., 2016, Three whole-wood isotopic reference materials, USGS54, USGS55, and USGS56, for δ2H, δ13C, δ15N, and δ18O measurements: Chemical Geology, v. 442, p. 47-53, https://doi.org/10.1016/j.chemgeo.2016.07.017.","productDescription":"7 p. ","startPage":"47","endPage":"53","ipdsId":"IP-076497","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":336304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"442","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b548bee4b01ccd54fddfaa","contributors":{"authors":[{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":673486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":673487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jordan, James A.","contributorId":184070,"corporation":false,"usgs":false,"family":"Jordan","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":673488,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193724,"text":"70193724 - 2016 - Volcano dome dynamics at Mount St. Helens: Deformation and intermittent subsidence monitored by seismicity and camera imagery pixel offsets","interactions":[],"lastModifiedDate":"2017-11-04T13:22:46","indexId":"70193724","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Volcano dome dynamics at Mount St. Helens: Deformation and intermittent subsidence monitored by seismicity and camera imagery pixel offsets","docAbstract":"<p>The surface deformation field measured at volcanic domes provides insights into the effects of magmatic processes, gravity- and gas-driven processes, and the development and distribution of internal dome structures. Here we study short-term dome deformation associated with earthquakes at Mount St. Helens, recorded by a permanent optical camera and seismic monitoring network. We use Digital Image Correlation (DIC) to compute the displacement field between successive images and compare the results to the occurrence and characteristics of seismic events during a 6 week period of dome growth in 2006. The results reveal that dome growth at Mount St. Helens was repeatedly interrupted by short-term meter-scale downward displacements at the dome surface, which were associated in time with low-frequency, large-magnitude seismic events followed by a tremor-like signal. The tremor was only recorded by the seismic stations closest to the dome. We find a correlation between the magnitudes of the camera-derived displacements and the spectral amplitudes of the associated tremor. We use the DIC results from two cameras and a high-resolution topographic model to derive full 3-D displacement maps, which reveals internal dome structures and the effect of the seismic activity on daily surface velocities. We postulate that the tremor is recording the gravity-driven response of the upper dome due to mechanical collapse or depressurization and fault-controlled slumping. Our results highlight the different scales and structural expressions during growth and disintegration of lava domes and the relationships between seismic and deformation signals.</p>","language":"English","publisher":"AGU","doi":"10.1002/2016JB013045","usgsCitation":"Salzer, J.T., Thelen, W.A., James, M.R., Walter, T.R., Moran, S.C., and Denlinger, R.P., 2016, Volcano dome dynamics at Mount St. Helens: Deformation and intermittent subsidence monitored by seismicity and camera imagery pixel offsets: Journal of Geophysical Research B: Solid Earth, v. 121, no. 11, p. 7882-7902, https://doi.org/10.1002/2016JB013045.","productDescription":"21 p.","startPage":"7882","endPage":"7902","ipdsId":"IP-079733","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470550,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jb013045","text":"Publisher Index Page"},{"id":348193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.48245239257812,\n              46.02271417608516\n            ],\n            [\n              -121.90841674804686,\n              46.02271417608516\n            ],\n            [\n              -121.90841674804686,\n              46.40472314125321\n            ],\n            [\n              -122.48245239257812,\n              46.40472314125321\n            ],\n            [\n              -122.48245239257812,\n              46.02271417608516\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"121","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-14","publicationStatus":"PW","scienceBaseUri":"59fedfb5e4b0531197b573c8","contributors":{"authors":[{"text":"Salzer, Jacqueline T.","contributorId":199801,"corporation":false,"usgs":false,"family":"Salzer","given":"Jacqueline","email":"","middleInitial":"T.","affiliations":[{"id":16947,"text":"German Research Centre for Geosciences","active":true,"usgs":false}],"preferred":false,"id":720072,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thelen, Weston A. 0000-0003-2534-5577 wthelen@usgs.gov","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":4126,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","email":"wthelen@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":720071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"James, Mike R.","contributorId":199802,"corporation":false,"usgs":false,"family":"James","given":"Mike","email":"","middleInitial":"R.","affiliations":[{"id":13133,"text":"Lancaster Environment Centre, Lancaster University, Lancaster, UK","active":true,"usgs":false}],"preferred":false,"id":720073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walter, Thomas R.","contributorId":199803,"corporation":false,"usgs":false,"family":"Walter","given":"Thomas","email":"","middleInitial":"R.","affiliations":[{"id":16947,"text":"German Research Centre for Geosciences","active":true,"usgs":false}],"preferred":false,"id":720074,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moran, Seth C. 0000-0001-7308-9649 smoran@usgs.gov","orcid":"https://orcid.org/0000-0001-7308-9649","contributorId":548,"corporation":false,"usgs":true,"family":"Moran","given":"Seth","email":"smoran@usgs.gov","middleInitial":"C.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":720075,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Denlinger, Roger P. 0000-0003-0930-0635 roger@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-0635","contributorId":2679,"corporation":false,"usgs":true,"family":"Denlinger","given":"Roger","email":"roger@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":720076,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192473,"text":"70192473 - 2016 - Seismic imaging of the metamorphism of young sediment into new crystalline crust in the actively rifting Imperial Valley, California","interactions":[],"lastModifiedDate":"2017-10-31T14:17:49","indexId":"70192473","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","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":"Seismic imaging of the metamorphism of young sediment into new crystalline crust in the actively rifting Imperial Valley, California","docAbstract":"<p><span>Plate-boundary rifting between transform faults is opening the Imperial Valley of southern California and the rift is rapidly filling with sediment from the Colorado River. Three 65–90 km long seismic refraction profiles across and along the valley, acquired as part of the 2011 Salton Seismic Imaging Project, were analyzed to constrain upper crustal structure and the transition from sediment to underlying crystalline rock. Both first arrival travel-time tomography and frequency-domain full-waveform inversion were applied to provide P-wave velocity models down to ∼7 km depth. The valley margins are fault-bounded, beyond which thinner sediment has been deposited on preexisting crystalline rocks. Within the central basin, seismic velocity increases continuously from ∼1.8 km/s sediment at the surface to &gt;6 km/s crystalline rock with no sharp discontinuity. Borehole data show young sediment is progressively metamorphosed into crystalline rock. The seismic velocity gradient with depth decreases approximately at the 4 km/s contour, which coincides with changes in the porosity and density gradient in borehole core samples. This change occurs at ∼3 km depth in most of the valley, but at only ∼1.5 km depth in the Salton Sea geothermal field. We interpret progressive metamorphism caused by high heat flow to be creating new crystalline crust throughout the valley at a rate comparable to the ≥2 km/Myr sedimentation rate. The newly formed crystalline crust extends to at least 7–8 km depth, and it is shallower and faster where heat flow is higher. Most of the active seismicity occurs within this new crust.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2016GC006610","usgsCitation":"Han, L., Hole, J., Stock, J., Fuis, G.S., Williams, C.F., Delph, J., Davenport, K., and Livers, A., 2016, Seismic imaging of the metamorphism of young sediment into new crystalline crust in the actively rifting Imperial Valley, California: Geochemistry, Geophysics, Geosystems, v. 17, no. 11, p. 4566-4584, https://doi.org/10.1002/2016GC006610.","productDescription":"19 p.","startPage":"4566","endPage":"4584","ipdsId":"IP-081132","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":462045,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gc006610","text":"Publisher Index Page"},{"id":347889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Imperial Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.42211914062499,\n              32.667124733120325\n            ],\n            [\n              -114.70825195312501,\n              32.667124733120325\n            ],\n            [\n              -114.70825195312501,\n              33.72662401401029\n            ],\n            [\n              -116.42211914062499,\n              33.72662401401029\n            ],\n            [\n              -116.42211914062499,\n              32.667124733120325\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"17","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-18","publicationStatus":"PW","scienceBaseUri":"59f98bbbe4b0531197afa00f","contributors":{"authors":[{"text":"Han, Liang","contributorId":49690,"corporation":false,"usgs":true,"family":"Han","given":"Liang","email":"","affiliations":[],"preferred":false,"id":716024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hole, John","contributorId":198438,"corporation":false,"usgs":false,"family":"Hole","given":"John","affiliations":[],"preferred":false,"id":716025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stock, Joann","contributorId":198439,"corporation":false,"usgs":false,"family":"Stock","given":"Joann","affiliations":[],"preferred":false,"id":716026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuis, Gary S. 0000-0002-3078-1544 fuis@usgs.gov","orcid":"https://orcid.org/0000-0002-3078-1544","contributorId":2639,"corporation":false,"usgs":true,"family":"Fuis","given":"Gary","email":"fuis@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":716023,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Colin F. 0000-0003-2196-5496 colin@usgs.gov","orcid":"https://orcid.org/0000-0003-2196-5496","contributorId":274,"corporation":false,"usgs":true,"family":"Williams","given":"Colin","email":"colin@usgs.gov","middleInitial":"F.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":716027,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Delph, Jonathan","contributorId":198440,"corporation":false,"usgs":false,"family":"Delph","given":"Jonathan","email":"","affiliations":[],"preferred":false,"id":716028,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Davenport, Kathy","contributorId":198441,"corporation":false,"usgs":false,"family":"Davenport","given":"Kathy","email":"","affiliations":[],"preferred":false,"id":716029,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Livers, Amanda","contributorId":198442,"corporation":false,"usgs":false,"family":"Livers","given":"Amanda","email":"","affiliations":[],"preferred":false,"id":716030,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70192022,"text":"70192022 - 2016 - Microrefuges and the occurrence of thermal specialists: implications for wildlife persistence amidst changing temperatures","interactions":[],"lastModifiedDate":"2017-10-19T15:05:42","indexId":"70192022","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5385,"text":"Climate Change Responses","active":true,"publicationSubtype":{"id":10}},"title":"Microrefuges and the occurrence of thermal specialists: implications for wildlife persistence amidst changing temperatures","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Background</strong></p><p id=\"Par1\" class=\"Para\">Contemporary climate change is affecting nearly all biomes, causing shifts in animal distributions, phenology, and persistence. Favorable microclimates may buffer organisms against rapid changes in climate, thereby allowing time for populations to adapt. The degree to which microclimates facilitate the local persistence of climate-sensitive species, however, is largely an open question. We addressed the importance of microrefuges in mammalian thermal specialists, using the American pika (<i class=\"EmphasisTypeItalic\">Ochotona princeps</i>) as a model organism. Pikas are sensitive to ambient temperatures, and are active year-round in the alpine where conditions are highly variable. We tested four hypotheses about the relationship between microrefuges and pika occurrence: 1) Local-habitat Hypothesis (local-habitat conditions are paramount, regardless of microrefuge); 2) Surface-temperature Hypothesis (surrounding temperatures, unmoderated by microrefuge, best predict occurrence); 3) Interstitial-temperature Hypothesis (temperatures within microrefuges best predict occurrence), and 4) Microrefuge Hypothesis (the degree to which microrefuges moderate the surrounding temperature facilitates occurrence, regardless of other habitat characteristics). We examined pika occurrence at 146 sites across an elevational gradient. We quantified pika presence, physiographic habitat characteristics and forage availability at each site, and deployed paired temperature loggers at a subset of sites to measure surface and subterranean temperatures.</p></div><div id=\"ASec2\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Results</strong></p><p id=\"Par2\" class=\"Para\">We found strong support for the Microrefuge Hypothesis. Pikas were more likely to occur at sites where the subsurface environment substantially moderated surface temperatures, especially during the warm season. Microrefugium was the strongest predictor of pika occurrence, independent of other critical habitat characteristics, such as forage availability.</p></div><div id=\"ASec3\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Conclusions</strong></p><p id=\"Par3\" class=\"Para\">By modulating surface temperatures, microrefuges may strongly influence where temperature-limited animals persist in rapidly warming environments. As climate change continues to manifest, efforts to understand the changing dynamics of animal-habitat relationships will be enhanced by considering the quality of microrefuges.</p></div>","language":"English","publisher":"BioMed Central","doi":"10.1186/s40665-016-0021-4","usgsCitation":"Hall, L., Chalfoun, A.D., Beever, E., and Loosen, A.E., 2016, Microrefuges and the occurrence of thermal specialists: implications for wildlife persistence amidst changing temperatures: Climate Change Responses, v. 3, no. 8, p. 1-12, https://doi.org/10.1186/s40665-016-0021-4.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-065951","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470515,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40665-016-0021-4","text":"Publisher Index Page"},{"id":346994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-19","publicationStatus":"PW","scienceBaseUri":"59e9b997e4b05fe04cd65cc7","contributors":{"authors":[{"text":"Hall, L. Embere","contributorId":194654,"corporation":false,"usgs":false,"family":"Hall","given":"L. Embere","affiliations":[],"preferred":false,"id":713854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":713853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":147685,"corporation":false,"usgs":true,"family":"Beever","given":"Erik A.","email":"ebeever@usgs.gov","affiliations":[{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":713855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loosen, Anne E.","contributorId":194655,"corporation":false,"usgs":false,"family":"Loosen","given":"Anne","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":713856,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179079,"text":"70179079 - 2016 - Do rivermouths alter nutrient and seston delivery to the nearshore?","interactions":[],"lastModifiedDate":"2017-02-15T14:11:03","indexId":"70179079","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Do rivermouths alter nutrient and seston delivery to the nearshore?","docAbstract":"<ol id=\"fwb12827-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Tributary inputs to lakes and seas are often measured at riverine gages, upstream of lentic influence. Between these riverine gages and the nearshore zones of large waterbodies lie rivermouths, which may retain, transform and contribute materials to the nearshore zone. However, the magnitude and timing of these rivermouth effects have rarely been measured.</li><li>During the summer of 2011, 23 tributary systems of the Laurentian Great Lakes were sampled from river to nearshore for dissolved and particulate carbon (C), nitrogen (N) and phosphorus (P) concentrations, as well as bulk seston and chlorophyll <i>a</i> concentrations. Three locations per system were sampled: in the upstream river, in the nearshore zone and at the outflow from the rivermouth to the lake. Using stable oxygen isotopes, a water-mixing model was developed to estimate the nutrient concentration that would occur at the rivermouth if mixing was strictly conservative (i.e. if no processing occurred within the rivermouth). Deviations between these conservative mixing estimates and measured nutrient concentrations were identified as rivermouth effects on nutrient concentrations.</li><li>Rivermouths had higher concentration of C and P than nearshore areas and more chlorophyll <i>a</i>than upstream river waters. Compared to the conservative mixing model, rivermouths as a class appeared to be summer-time sources of N, P and chlorophyll <i>a</i>. Substantial among rivermouth variation occurred both in the effect size and direction for all constituents.</li><li>Using principal component analysis, two groups of rivermouths were identified: rivermouths that had a large effect on most constituents and those that had very little effect on any of the measured constituents. ‘High-effect’ rivermouths had more abundant upstream croplands, which were presumably the sources of inorganic nutrients. Cross-validated models built using characteristics of the rivermouth were not good predictors of variation in rivermouth effects on most constituents.</li><li>For consumers feeding on seston and microbes and vascular autotrophs directly taking up dissolved nutrients, rivermouths are more resource-rich than upstream riverine or nearby Great Lakes waters. Given declines over time in open-lake productivity within the Great Lakes, rivermouths may contribute more productivity than their size would suggest to the Great Lakes food web.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.12827","usgsCitation":"Larson, J.H., Frost, P.C., Vallazza, J., Nelson, J.C., and Richardson, W.B., 2016, Do rivermouths alter nutrient and seston delivery to the nearshore?: Freshwater Biology, v. 61, no. 11, p. 1935-1949, https://doi.org/10.1111/fwb.12827.","productDescription":"15 p.","startPage":"1935","endPage":"1949","ipdsId":"IP-069318","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":332188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335593,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7WQ01XF","text":"Do rivermouths alter nutrient and seston delivery to the nearshore?"}],"volume":"61","issue":"11","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-06","publicationStatus":"PW","scienceBaseUri":"5853ba3fe4b0e2663625f2b6","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frost, Paul C.","contributorId":138628,"corporation":false,"usgs":false,"family":"Frost","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":12467,"text":"Department of Biology, Trent University, Peterborough, ON  CA","active":true,"usgs":false}],"preferred":false,"id":655951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vallazza, Jon M. jvallazza@usgs.gov","contributorId":139282,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jon M.","email":"jvallazza@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":655952,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, John C. 0000-0002-7105-0107 jcnelson@usgs.gov","orcid":"https://orcid.org/0000-0002-7105-0107","contributorId":149361,"corporation":false,"usgs":true,"family":"Nelson","given":"John","email":"jcnelson@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655953,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richardson, William B. 0000-0002-7471-4394 wrichardson@usgs.gov","orcid":"https://orcid.org/0000-0002-7471-4394","contributorId":3277,"corporation":false,"usgs":true,"family":"Richardson","given":"William","email":"wrichardson@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655954,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70177939,"text":"70177939 - 2016 - Migratory bird habitat in relation to tile drainage and poorly drained hydrologic soil groups","interactions":[],"lastModifiedDate":"2017-01-20T11:10:39","indexId":"70177939","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Migratory bird habitat in relation to tile drainage and poorly drained hydrologic soil groups","docAbstract":"<p><span>The Prairie Pothole Region (PPR) is home to more than 50% of the migratory waterfowl in North America. Although the PPR provides an abundance of temporary and permanent wetlands for nesting and feeding, increases in commodity prices and agricultural drainage practices have led to a trend of wetland drainage. The Northern Shoveler is a migratory dabbling duck species that uses wetland habitats and cultivated croplands in the PPR. Richland County in North Dakota and Roberts County in South Dakota have an abundance of wetlands and croplands and were chosen as the study areas for this research to assess the wetland size and cultivated cropland in relation to hydrologic soil groups for the Northern Shoveler habitat. This study used geographic information system data to analyze Northern Shoveler habitats in association with Natural Resource Conservation Service soil data. Habitats, which are spatially associated with certain hydrologic soil groups, may be at risk of artificial drainage installations because of their proximity to cultivated croplands and soil lacking in natural drainage that may become wet or inundated. Findings indicate that most wetlands that are part of Northern Shoveler habitats were within or adjacent to cultivated croplands. The results also revealed soil hydrologic groups with high runoff potential and low water transmission rates account for most of the soil within the Northern Shoveler‘s wetland and cropland habitats. Habitats near agriculture with high runoff potential are likely to be drained and this has the potential of reducing Northern Shoveler habitat.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"10th International Drainage Symposium Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"10th International Drainage Symposium Conference","conferenceDate":"September 6-9, 2016","conferenceLocation":"Minneapolis, Minnesota","language":"English","publisher":"American Society of Agricultural and Biological Engineers","doi":"10.13031/IDS.20162493338","usgsCitation":"Kastner, B., Christensen, V.G., Williamson, T., and Sanocki, C.A., 2016, Migratory bird habitat in relation to tile drainage and poorly drained hydrologic soil groups, <i>in</i> 10th International Drainage Symposium Conference, Minneapolis, Minnesota, September 6-9, 2016, https://doi.org/10.13031/IDS.20162493338.","ipdsId":"IP-076360","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":333559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-07","publicationStatus":"PW","scienceBaseUri":"58833022e4b0d0023163778e","contributors":{"authors":[{"text":"Kastner, Brandi bkastner@usgs.gov","contributorId":176471,"corporation":false,"usgs":true,"family":"Kastner","given":"Brandi","email":"bkastner@usgs.gov","affiliations":[],"preferred":true,"id":659209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Victoria G. 0000-0003-4166-7461 vglenn@usgs.gov","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":2354,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","email":"vglenn@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":659210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williamson, Tanja N. tnwillia@usgs.gov","contributorId":452,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja N.","email":"tnwillia@usgs.gov","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":false,"id":659211,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanocki, Christopher A. 0000-0001-6714-5421 sanocki@usgs.gov","orcid":"https://orcid.org/0000-0001-6714-5421","contributorId":3142,"corporation":false,"usgs":true,"family":"Sanocki","given":"Christopher","email":"sanocki@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":659212,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193641,"text":"70193641 - 2016 - Multiple browsers structure tree recruitment in logged temperate forests","interactions":[],"lastModifiedDate":"2017-11-13T14:51:14","indexId":"70193641","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Multiple browsers structure tree recruitment in logged temperate forests","docAbstract":"<p><span>Historical extirpations have resulted in depauperate large herbivore assemblages in many northern forests. In eastern North America, most forests are inhabited by a single wild ungulate species, white-tailed deer (</span><i>Odocoileus virginianus)</i><span>, and relationships between deer densities and impacts on forest regeneration are correspondingly well documented. Recent recolonizations by moose (</span><i>Alces americanus</i><span>) in northeastern regions complicate established deer density thresholds and predictions of browsing impacts on forest dynamics because size and foraging differences between the two animals suggest a lack of functional redundancy. We asked to what extent low densities of deer + moose would structure forest communities differently from that of low densities of deer in recently logged patch cuts of Massachusetts, USA. In each site, a randomized block with three treatment levels of large herbivores–no-ungulates (full exclosure), deer (partial exclosure), and deer + moose (control) was established. After 6–7 years, deer + moose reduced stem densities and basal area by 2-3-fold,<span>&nbsp;</span></span><i>Prunus pensylvanica</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>Quercus</i><span><span>&nbsp;</span>spp. recruitment by 3–6 fold, and species richness by 1.7 species (19%). In contrast, in the partial exclosures, deer had non-significant effects on stem density, basal area, and species composition, but significantly reduced species richness by 2.5 species on average (28%). Deer browsing in the partial exclosure was more selective than deer + moose browsing together, perhaps contributing to the decline in species richness in the former treatment and the lack of additional decline in the latter. Moose used the control plots at roughly the same frequency as deer (as determined by remote camera traps), suggesting that the much larger moose was the dominant browser species in terms of animal biomass in these cuts. A lack of functional redundancy with respect to foraging behavior between sympatric large herbivores may explain combined browsing effects that were both large and complex.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0166783","usgsCitation":"Faison, E.K., DeStefano, S., Foster, D., Rapp, J.M., and Compton, J., 2016, Multiple browsers structure tree recruitment in logged temperate forests: PLoS ONE, v. 11, no. 11, p. 1-14, https://doi.org/10.1371/journal.pone.0166783.","productDescription":"e0166783; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-076434","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":482069,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0166783","text":"Publisher Index Page"},{"id":348722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.44247436523438,\n              42.249868245939325\n            ],\n            [\n              -71.9000244140625,\n              42.249868245939325\n            ],\n            [\n              -71.9000244140625,\n              42.63496903887609\n            ],\n            [\n              -72.44247436523438,\n              42.63496903887609\n            ],\n            [\n              -72.44247436523438,\n              42.249868245939325\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-28","publicationStatus":"PW","scienceBaseUri":"5a60fc9ce4b06e28e9c2404a","contributors":{"authors":[{"text":"Faison, Edward K.","contributorId":191559,"corporation":false,"usgs":false,"family":"Faison","given":"Edward","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":721857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":166706,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":719728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foster, David R.","contributorId":149881,"corporation":false,"usgs":false,"family":"Foster","given":"David R.","affiliations":[{"id":16810,"text":"Harvard Univ.","active":true,"usgs":false}],"preferred":false,"id":721858,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rapp, Joshua M.","contributorId":200307,"corporation":false,"usgs":false,"family":"Rapp","given":"Joshua","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721859,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Compton, Justin A.","contributorId":200308,"corporation":false,"usgs":false,"family":"Compton","given":"Justin A.","affiliations":[],"preferred":false,"id":721860,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70185027,"text":"70185027 - 2016 - Annual elk calf survival in a multiple carnivore system","interactions":[],"lastModifiedDate":"2017-03-14T13:33:17","indexId":"70185027","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Annual elk calf survival in a multiple carnivore system","docAbstract":"<p><span>The realized effect of multiple carnivores on juvenile ungulate recruitment may depend on the carnivore assemblage as well as compensation from forage and winter weather severity, which may mediate juvenile vulnerability to predation in ungulates. We used a time-to-event approach to test for the effects of risk factors on annual elk (</span><i>Cervus canadensis</i><span>) calf survival and to estimate cause-specific mortality rates for 2 elk populations in adjacent study areas in the southern Bitterroot Valley, Montana, USA, during 2011–2014. We captured and radio-tagged 286 elk calves: 226 neonates, and 60 6-month-old calves. Summer survival probability was less variable than winter (</span><i>P</i><span> = 0.12) and averaged 0.55 (95% CI = 0.47–0.63), whereas winter survival varied more than summer and significantly across study years (</span><i>P</i><span> = 0.003) and averaged 0.73 (95% CI = 0.64–0.81). During summer, elk calf survival increased with biomass of preferred forage biomass, and was slightly lower following winters with high precipitation; exposure to mountain lion (</span><i>Puma concolor</i><span>) predation risk was unimportant. In contrast, during winter, we found that exposure to mountain lion predation risk influenced survival, with a weak negative effect of winter precipitation. We found no evidence that forage availability or winter weather severity mediated vulnerability to mountain lion predation risk in summer or winter (e.g., an interaction), indicating that the effect of mountain lion predation was constant regardless of spatial variation in forage or weather. Mountain lions dominated known causes of elk calf mortality in summer and winter, with estimated cause-specific mortality rates of 0.14 (95% CI = 0.09–0.20) and 0.12 (95% CI = 0.07–0.18), respectively. The effect of carnivores on juvenile ungulate recruitment varies across ecological systems depending on relative carnivore densities. Mountain lions may be the most important carnivore for ungulates, especially where grizzly bears (</span><i>Ursus arctos</i><span>) and wolves (</span><i>Canis lupus</i><span>) are rare or recovering. Finally, managers may need to reduce adult female harvest of elk as carnivores recolonize to balance carnivore and ungulate management objectives, especially in less productive habitats for elk. </span></p>","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.21133","usgsCitation":"Eacker, D.R., Hebblewhite, M., Proffitt, K.M., Jimenez, B.S., Mitchell, M.S., and Robinson, H.S., 2016, Annual elk calf survival in a multiple carnivore system: Journal of Wildlife Management, v. 80, no. 8, p. 1345-1359, https://doi.org/10.1002/jwmg.21133.","productDescription":"15 p.","startPage":"1345","endPage":"1359","ipdsId":"IP-069785","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":337509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-10","publicationStatus":"PW","scienceBaseUri":"58c90125e4b0849ce97abccd","contributors":{"authors":[{"text":"Eacker, Daniel R.","contributorId":189250,"corporation":false,"usgs":false,"family":"Eacker","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":684229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hebblewhite, Mark","contributorId":69455,"corporation":false,"usgs":true,"family":"Hebblewhite","given":"Mark","affiliations":[],"preferred":false,"id":684230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Proffitt, Kelly M.","contributorId":106783,"corporation":false,"usgs":true,"family":"Proffitt","given":"Kelly","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":684231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jimenez, Benjamin S.","contributorId":189251,"corporation":false,"usgs":false,"family":"Jimenez","given":"Benjamin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":684232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":684005,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robinson, Hugh S.","contributorId":139243,"corporation":false,"usgs":false,"family":"Robinson","given":"Hugh","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":684233,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70184969,"text":"70184969 - 2016 - Age, distribution and style of deformation in Alaska north of 60°N: Implications for assembly of Alaska","interactions":[],"lastModifiedDate":"2017-03-15T11:57:19","indexId":"70184969","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"title":"Age, distribution and style of deformation in Alaska north of 60°N: Implications for assembly of Alaska","docAbstract":"<p><span>The structural architecture of Alaska is the product of a complex history of deformation along both the Cordilleran and Arctic margins of North America involving oceanic plates, subduction zones and strike-slip faults and with continental elements of Laurentia, Baltica, and Siberia. We use geological constraints to assign regions of deformation to 14 time intervals and to map their distributions in Alaska. Alaska can be divided into three domains with differing deformational histories. Each domain includes a crustal fragment that originated near Early Paleozoic Baltica. The Northern domain experienced the Early Cretaceous Brookian orogeny, an oceanic arc-continent collision, followed by mid-Cretaceous extension. Early Cretaceous opening of the oceanic Canada Basin rifted the orogen from the Canadian Arctic margin, producing the bent trends of the orogen. The second (Southern) domain consists of Neoproterozoic and younger crust of the amalgamated Peninsular-Wrangellia-Alexander arc terrane and its paired Mesozoic accretionary prism facing the Pacific Ocean basin. The third (Interior) domain, situated between the first two domains and roughly bounded by the Cenozoic dextral Denali and Tintina faults, includes the large continental Yukon Composite and Farewell terranes having different Permian deformational episodes. Although a shared deformation that might mark their juxtaposition by collisional processes is unrecognized, sedimentary linkage between the two terranes and depositional overlap of the boundary with the Northern domain occurred by early Late Cretaceous. Late Late Cretaceous deformation is the first deformation shared by all three domains and correlates temporally with emplacement of the Southern domain against the remainder of Alaska. Early Cenozoic shortening is mild across interior Alaska but is significant in the Brooks Range, and correlates in time with dextral faulting, ridge subduction and counter-clockwise rotation of southern Alaska. Late Cenozoic shortening is significant in southern Alaska inboard of the underthrusting Yakutat terrane at the Pacific margin and in northeastern Alaska.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.tecto.2016.06.025","usgsCitation":"Moore, T.E., and Box, S.E., 2016, Age, distribution and style of deformation in Alaska north of 60°N: Implications for assembly of Alaska: Tectonophysics, v. 691, no. A, p. 133-170, https://doi.org/10.1016/j.tecto.2016.06.025.","productDescription":"38 p.","startPage":"133","endPage":"170","ipdsId":"IP-069484","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":470450,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.tecto.2016.06.025","text":"Publisher Index Page"},{"id":337610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -168.4423828125,\n              60\n            ],\n            [\n              -141,\n              60\n            ],\n            [\n              -141,\n              71.41317683396566\n            ],\n            [\n              -168.4423828125,\n              71.41317683396566\n            ],\n            [\n              -168.4423828125,\n              60\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"691","issue":"A","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52cee4b0849ce97c86a8","contributors":{"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":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":683770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Box, Stephen E. 0000-0002-5268-8375 sbox@usgs.gov","orcid":"https://orcid.org/0000-0002-5268-8375","contributorId":1843,"corporation":false,"usgs":true,"family":"Box","given":"Stephen","email":"sbox@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":683771,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187242,"text":"70187242 - 2016 - Chronic wasting disease in white-tailed deer: Infection, mortality, and implications for heterogeneous transmission","interactions":[],"lastModifiedDate":"2017-04-27T17:00:14","indexId":"70187242","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Chronic wasting disease in white-tailed deer: Infection, mortality, and implications for heterogeneous transmission","docAbstract":"<p><span>Chronic wasting disease (CWD) is a fatal neurodegenerative disease affecting free-ranging and captive cervids that now occurs in 24 U.S. states and two Canadian provinces. Despite the potential threat of CWD to deer populations, little is known about the rates of infection and mortality caused by this disease. We used epidemiological models to estimate the force of infection and disease-associated mortality for white-tailed deer in the Wisconsin and Illinois CWD outbreaks. Models were based on age-prevalence data corrected for bias in aging deer using the tooth wear and replacement method. Both male and female deer in the Illinois outbreak had higher corrected age-specific prevalence with slightly higher female infection than deer in the Wisconsin outbreak. Corrected ages produced more complex models with different infection and mortality parameters than those based on apparent prevalence. We found that adult male deer have a more than threefold higher risk of CWD infection than female deer. Males also had higher disease mortality than female deer. As a result, CWD prevalence was twofold higher in adult males than females. We also evaluated the potential impacts of alternative contact structures on transmission dynamics in Wisconsin deer. Results suggested that transmission of CWD among male deer during the nonbreeding season may be a potential mechanism for producing higher rates of infection and prevalence characteristically found in males. However, alternatives based on high environmental transmission and transmission from females to males during the breeding season may also play a role.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1538","usgsCitation":"Samuel, M.D., and Storm, D.J., 2016, Chronic wasting disease in white-tailed deer: Infection, mortality, and implications for heterogeneous transmission: Ecology, v. 97, no. 11, p. 3195-3205, https://doi.org/10.1002/ecy.1538.","productDescription":"11 p.","startPage":"3195","endPage":"3205","ipdsId":"IP-066740","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","issue":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-04","publicationStatus":"PW","scienceBaseUri":"59030325e4b0e862d230f71f","contributors":{"authors":[{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storm, Daniel J.","contributorId":171373,"corporation":false,"usgs":false,"family":"Storm","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":24576,"text":"University of Wisconsin, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":693095,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70184976,"text":"70184976 - 2016 - Using thermal limits to assess establishment of fish dispersing to high-latitude and high-elevation watersheds","interactions":[],"lastModifiedDate":"2017-03-14T15:59:14","indexId":"70184976","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Using thermal limits to assess establishment of fish dispersing to high-latitude and high-elevation watersheds","docAbstract":"<p><span>Distributional shifts of biota to higher latitudes and elevations are presumably influenced by species-specific physiological tolerances related to warming temperatures. However, it is establishment rather than dispersal that may be limiting colonizations in these cold frontier areas. In freshwater ecosystems, perennial groundwater springs provide critical winter thermal refugia in these extreme environments. By reconciling the thermal characteristics of these refugia with the minimum thermal tolerances of life stages critical for establishment, we develop a strategy to focus broad projections of northward and upward range shifts to the specific habitats that are likely for establishments. We evaluate this strategy using chum salmon (</span><i>Oncorhynchus keta</i><span>) and pink salmon (</span><i>Oncorhynchus gorbuscha</i><span>) that seem poised to colonize Arctic watersheds. Stream habitats with a minimum temperature of 4 °C during spawning and temperatures above 2 °C during egg incubation were most vulnerable to establishments by chum and pink salmon. This strategy will improve modelling forecasts of range shifts for cold freshwater habitats and focus proactive efforts to conserve both newly emerging fisheries and native species at northern and upper distributional extremes.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0051","usgsCitation":"Dunmall, K.M., Mochnacz, N.J., Zimmerman, C.E., Lean, C., and Reist, J.D., 2016, Using thermal limits to assess establishment of fish dispersing to high-latitude and high-elevation watersheds: Canadian Journal of Fisheries and Aquatic Sciences, v. 73, no. 12, p. 1750-1758, https://doi.org/10.1139/cjfas-2016-0051.","productDescription":"9 p.","startPage":"1750","endPage":"1758","ipdsId":"IP-057378","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":470452,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/73094","text":"External Repository"},{"id":337544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c90125e4b0849ce97abcd1","contributors":{"authors":[{"text":"Dunmall, Karen M.","contributorId":189272,"corporation":false,"usgs":false,"family":"Dunmall","given":"Karen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":684319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mochnacz, Neil J.","contributorId":189273,"corporation":false,"usgs":false,"family":"Mochnacz","given":"Neil","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":684320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":683797,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lean, Charles","contributorId":189274,"corporation":false,"usgs":false,"family":"Lean","given":"Charles","email":"","affiliations":[],"preferred":false,"id":684321,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reist, James D.","contributorId":189275,"corporation":false,"usgs":false,"family":"Reist","given":"James","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":684322,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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