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 \"}}]}","edition":"Verison 1.0: Originally posted February 19, 2017; Version 1.1: August 2017","contact":"<p><a href=\"mailto:dc_wa@usgs.gov\" data-mce-href=\"mailto:dc_wa@usgs.gov\">Director</a>, Washington Water Science Center<br>U.S. Geological Survey<br>934 Broadway, Suite 300<br>Tacoma, Washington 98402<br><a href=\"http://wa.water.usgs.gov\" data-mce-href=\"http://wa.water.usgs.gov\">http://wa.water.usgs.gov</a><br></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Collection of Surface-Water Data</li>\n<li>Processing and Analysis of Surface-Water Data</li>\n<li>Safety</li>\n<li>Training</li>\n<li>Summary</li>\n<li>Acknowledgments</li>\n<li>References Cited</li>\n<li>Appendixes A-E</li>\n</ul>\n<p>&nbsp;</p>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-02-19","revisedDate":"2017-08-18","noUsgsAuthors":false,"publicationDate":"2016-02-19","publicationStatus":"PW","scienceBaseUri":"56c83cabe4b0b3c9ae37b205","contributors":{"authors":[{"text":"Mastin, Mark C. 0000-0003-4018-7861 mcmastin@usgs.gov","orcid":"https://orcid.org/0000-0003-4018-7861","contributorId":1652,"corporation":false,"usgs":true,"family":"Mastin","given":"Mark","email":"mcmastin@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":620204,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70168334,"text":"70168334 - 2017 - Monitoring for the management of disease risk in animal translocation programmes","interactions":[],"lastModifiedDate":"2017-03-22T15:11:54","indexId":"70168334","displayToPublicDate":"2016-02-10T11:45:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1443,"text":"EcoHealth","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring for the management of disease risk in animal translocation programmes","docAbstract":"<p><span>Monitoring is best viewed as a component of some larger programme focused on science or conservation. The value of monitoring is determined by the extent to which it informs the parent process. Animal translocation programmes are typically designed to augment or establish viable animal populations without changing the local community in any detrimental way. Such programmes seek to minimize disease risk to local wild animals, to translocated animals, and in some cases to humans. Disease monitoring can inform translocation decisions by (1) providing information for state-dependent decisions, (2) assessing progress towards programme objectives, and (3) permitting learning in order to make better decisions in the future. Here we discuss specific decisions that can be informed by both pre-release and post-release disease monitoring programmes. We specify state variables and vital rates needed to inform these decisions. We then discuss monitoring data and analytic methods that can be used to estimate these state variables and vital rates. Our discussion is necessarily general, but hopefully provides a basis for tailoring disease monitoring approaches to specific translocation programmes.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10393-015-1094-4","usgsCitation":"Nichols, J., Hollmen, T.E., and Grand, J.B., 2017, Monitoring for the management of disease risk in animal translocation programmes: EcoHealth, v. 14, no. 1, p. 156-166, https://doi.org/10.1007/s10393-015-1094-4.","productDescription":"11 p.","startPage":"156","endPage":"166","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069177","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":317902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-14","publicationStatus":"PW","scienceBaseUri":"56bc5f35e4b08d617f660022","contributors":{"authors":[{"text":"Nichols, James D. jnichols@usgs.gov","contributorId":139087,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":619729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hollmen, Tuula E.","contributorId":106077,"corporation":false,"usgs":true,"family":"Hollmen","given":"Tuula","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":619730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grand, J. Barry 0000-0002-3576-4567 barry_grand@usgs.gov","orcid":"https://orcid.org/0000-0002-3576-4567","contributorId":579,"corporation":false,"usgs":true,"family":"Grand","given":"J.","email":"barry_grand@usgs.gov","middleInitial":"Barry","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":619706,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70169975,"text":"70169975 - 2017 - Mercury and trace element distribution in density separates of a South African Highveld (#4) coal: Implications for mercury reduction and preparation of export coal","interactions":[],"lastModifiedDate":"2017-01-27T11:21:32","indexId":"70169975","displayToPublicDate":"2016-02-06T10:15:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Mercury and trace element distribution in density separates of a South African Highveld (#4) coal: Implications for mercury reduction and preparation of export coal","docAbstract":"<p><span>Eight density separates of Permian Highveld (#4) coal were investigated for partitioning of Hg and trace elements. The separates include float fractions obtained in heavy media having densities of 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, and 2.0&nbsp;g/cm</span><sup>3</sup><span>, and the sink fraction for 2.0&nbsp;g/cm</span><sup>3</sup><span>. Bulk analysis of the separates shows strong (R</span><sup>2</sup><span>&nbsp;&ge;&nbsp;0.80) positive correlations between pyritic sulfur and mercury, and between ash yield and both pyritic sulfur and mercury. Laser ablation (LA) ICP-MS analysis of individual pyrite grains in the separates confirms association of Hg and As with pyrite as indicated by bulk analysis. Other elements detected in pyrite by LA-ICP-MS include Mn, Co, Ni, Tl, and Pb. Results for the separates allow prediction of Hg, trace elements, and ash yields expected in specific South African coal products. These range from 0.06&nbsp;ppm Hg and an ash yield of 11.5% ash for the export fraction to 0.47&nbsp;ppm Hg and an ash yield of 60.9% for the discard (stone) fraction (dry basis). Results show pronounced differences expected between coal used for domestic power generation and coal which is exported.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2016.02.002","usgsCitation":"Kolker, A., Senior, C.L., van Alphen, C., Koenig, A.E., and Geboy, N., 2017, Mercury and trace element distribution in density separates of a South African Highveld (#4) coal: Implications for mercury reduction and preparation of export coal: International Journal of Coal Geology, v. 170, p. 7-13, https://doi.org/10.1016/j.coal.2016.02.002.","productDescription":"7 p.","startPage":"7","endPage":"13","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060685","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":470244,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coal.2016.02.002","text":"Publisher Index Page"},{"id":319706,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"South Africa","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[31.521,-29.25739],[31.32556,-29.40198],[30.90176,-29.90996],[30.62281,-30.42378],[30.05572,-31.14027],[28.92555,-32.17204],[28.21976,-32.77195],[27.46461,-33.22696],[26.41945,-33.61495],[25.90966,-33.66704],[25.78063,-33.94465],[25.17286,-33.79685],[24.67785,-33.98718],[23.59404,-33.79447],[22.98819,-33.91643],[22.57416,-33.86408],[21.5428,-34.25884],[20.68905,-34.41718],[20.07126,-34.79514],[19.61641,-34.81917],[19.19328,-34.4626],[18.85531,-34.44431],[18.42464,-33.99787],[18.37741,-34.13652],[18.2445,-33.86775],[18.25008,-33.28143],[17.92519,-32.61129],[18.24791,-32.42913],[18.22176,-31.66163],[17.56692,-30.72572],[17.06442,-29.87864],[17.06292,-29.87595],[16.34498,-28.57671],[16.82402,-28.08216],[17.21893,-28.35594],[17.3875,-28.78351],[17.83615,-28.85638],[18.4649,-29.04546],[19.00213,-28.97244],[19.89473,-28.4611],[19.89577,-24.76779],[20.16573,-24.91796],[20.75861,-25.86814],[20.66647,-26.47745],[20.88961,-26.82854],[21.6059,-26.72653],[22.10597,-26.28026],[22.57953,-25.97945],[22.82427,-25.50046],[23.3121,-25.26869],[23.73357,-25.39013],[24.21127,-25.67022],[25.02517,-25.71967],[25.66467,-25.48682],[25.76585,-25.17485],[25.94165,-24.69637],[26.48575,-24.61633],[26.78641,-24.24069],[27.11941,-23.57432],[28.01724,-22.82775],[29.43219,-22.09131],[29.83904,-22.10222],[30.32288,-22.27161],[30.65987,-22.15157],[31.19141,-22.25151],[31.6704,-23.65897],[31.93059,-24.36942],[31.75241,-25.48428],[31.83778,-25.84333],[31.33316,-25.66019],[31.04408,-25.73145],[30.94967,-26.02265],[30.67661,-26.39808],[30.68596,-26.74385],[31.28277,-27.28588],[31.86806,-27.17793],[32.07167,-26.73382],[32.83012,-26.74219],[32.58026,-27.47016],[32.46213,-28.30101],[32.20339,-28.7524],[31.521,-29.25739]]],[[[28.5417,-28.6475],[28.97826,-28.9556],[29.32517,-29.25739],[29.01842,-29.74377],[28.8484,-30.07005],[28.29107,-30.22622],[28.1072,-30.54573],[27.7494,-30.64511],[26.99926,-29.87595],[27.53251,-29.24271],[28.07434,-28.85147],[28.5417,-28.6475]]]]},\"properties\":{\"name\":\"South Africa\"}}]}","volume":"170","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56ff9c04e4b0328dcb7eaaed","contributors":{"authors":[{"text":"Kolker, Allan 0000-0002-5768-4533 akolker@usgs.gov","orcid":"https://orcid.org/0000-0002-5768-4533","contributorId":643,"corporation":false,"usgs":true,"family":"Kolker","given":"Allan","email":"akolker@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":625772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senior, Connie L.","contributorId":17103,"corporation":false,"usgs":true,"family":"Senior","given":"Connie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":625773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Alphen, Chris","contributorId":131003,"corporation":false,"usgs":false,"family":"van Alphen","given":"Chris","email":"","affiliations":[{"id":7206,"text":"Eskom Holdings, Ltd. South Africa","active":true,"usgs":false}],"preferred":false,"id":625774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koenig, Alan E. 0000-0002-5230-0924 akoenig@usgs.gov","orcid":"https://orcid.org/0000-0002-5230-0924","contributorId":1564,"corporation":false,"usgs":true,"family":"Koenig","given":"Alan","email":"akoenig@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":625775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Geboy, Nicholas J. ngeboy@usgs.gov","contributorId":3860,"corporation":false,"usgs":true,"family":"Geboy","given":"Nicholas J.","email":"ngeboy@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":625832,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70162514,"text":"70162514 - 2017 - Interannual to multidecadal climate forcings on groundwater resources of the U.S. West Coast","interactions":[],"lastModifiedDate":"2018-04-03T13:55:39","indexId":"70162514","displayToPublicDate":"2016-01-25T11:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Interannual to multidecadal climate forcings on groundwater resources of the U.S. West Coast","docAbstract":"<h4 id=\"absSec_1\">Study region</h4><p id=\"spar0050\">The U.S. West Coast, including the Pacific Northwest and California Coastal Basins aquifer systems.</p><h4 id=\"absSec_2\">Study focus</h4><p id=\"spar0055\">Groundwater response to interannual to multidecadal climate variability has important implications for security within the water–energy–food nexus. Here we use Singular Spectrum Analysis to quantify the teleconnections between AMO, PDO, ENSO, and PNA and precipitation and groundwater level fluctuations. The computer program DAMP was used to provide insight on the influence of soil texture, depth to water, and mean and period of a surface infiltration flux on the damping of climate signals in the vadose zone.</p><h4 id=\"absSec_3\">New hydrological insights for the region</h4><p id=\"spar0060\">We find that PDO, ENSO, and PNA have significant influence on precipitation and groundwater fluctuations across a north-south gradient of the West Coast, but the lower frequency climate modes (PDO) have a greater influence on hydrologic patterns than higher frequency climate modes (ENSO and PNA). Low frequency signals tend to be preserved better in groundwater fluctuations than high frequency signals, which is a function of the degree of damping of surface variable fluxes related to soil texture, depth to water, mean and period of the infiltration flux. The teleconnection patterns that exist in surface hydrologic processes are not necessarily the same as those preserved in subsurface processes, which are affected by damping of some climate variability signals within infiltrating water.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2015.11.018","usgsCitation":"Velasco, E.M., Gurdak, J., Dickinson, J.E., Ferre, T., and Corona, C., 2017, Interannual to multidecadal climate forcings on groundwater resources of the U.S. West Coast: Journal of Hydrology: Regional Studies, v. 11, p. 250-265, https://doi.org/10.1016/j.ejrh.2015.11.018.","productDescription":"16 p.","startPage":"250","endPage":"265","ipdsId":"IP-067083","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":470245,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2015.11.018","text":"Publisher Index Page"},{"id":314871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.892578125,\n              32.63937487360669\n            ],\n            [\n              -124.892578125,\n              49.095452162534826\n            ],\n            [\n              -116.34521484375001,\n              49.095452162534826\n            ],\n            [\n              -116.34521484375001,\n              32.63937487360669\n            ],\n            [\n              -124.892578125,\n              32.63937487360669\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56a8a6c6e4b0b28f1184dbff","contributors":{"authors":[{"text":"Velasco, Elzie M.","contributorId":152546,"corporation":false,"usgs":false,"family":"Velasco","given":"Elzie","email":"","middleInitial":"M.","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":589716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gurdak, Jason J.","contributorId":65125,"corporation":false,"usgs":true,"family":"Gurdak","given":"Jason J.","affiliations":[],"preferred":false,"id":589717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":589715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferre, T.P.A.","contributorId":196167,"corporation":false,"usgs":false,"family":"Ferre","given":"T.P.A.","email":"","affiliations":[],"preferred":false,"id":589718,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corona, Claudia R.","contributorId":152548,"corporation":false,"usgs":false,"family":"Corona","given":"Claudia","middleInitial":"R.","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":589719,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70162135,"text":"70162135 - 2017 - Low incidence of clonality in cold water corals revealed through the novel use of standardized protocol adapted to deep sea sampling","interactions":[],"lastModifiedDate":"2017-11-29T16:44:42","indexId":"70162135","displayToPublicDate":"2016-01-14T10:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1371,"text":"Deep-Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Low incidence of clonality in cold water corals revealed through the novel use of standardized protocol adapted to deep sea sampling","docAbstract":"<p>Sampling in the deep sea is a technical challenge, which has hindered the acquisition of robust datasets that are necessary to determine the fine-grained biological patterns and processes that may shape genetic diversity. Estimates of the extent of clonality in deep-sea species, despite the importance of clonality in shaping the local dynamics and evolutionary trajectories, have been largely obscured by such limitations. Cold-water coral reefs along European margins are formed mainly by two reef-building species, <i>Lophelia pertusa</i> and<i> Madrepora oculata</i>. Here we present a fine-grained analysis of the genotypic and genetic composition of reefs occurring in the Bay of Biscay, based on an innovative deep-sea sampling protocol. This strategy was designed to be standardized, random, and allowed the georeferencing of all sampled colonies. Clonal lineages discriminated through their Multi-Locus Genotypes (MLG) at 6–7 microsatellite markers could thus be mapped to assess the level of clonality and the spatial spread of clonal lineages. High values of clonal richness were observed for both species across all sites suggesting a limited occurrence of clonality, which likely originated through fragmentation. Additionally, spatial autocorrelation analysis underlined the possible occurrence of fine-grained genetic structure in several populations of both<i> L. pertusa</i> and <i>M. oculata</i>. The two cold-water coral species examined had contrasting patterns of connectivity among canyons, with among-canyon genetic structuring detected in <i>M. oculata</i>, whereas <i>L. pertusa</i> was panmictic at the canyon scale. This study exemplifies that a standardized, random and georeferenced sampling strategy, while challenging, can be applied in the deep sea, and associated benefits outlined here include improved estimates of fine grained patterns of clonality and dispersal that are comparable across sites and among species.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2015.11.013","usgsCitation":"Becheler, R., Cassone, A., Noel, P., Mouchel, O., Morrison, C.L., and Arnaud-Haond, S., 2017, Low incidence of clonality in cold water corals revealed through the novel use of standardized protocol adapted to deep sea sampling: Deep-Sea Research Part II: Topical Studies in Oceanography, v. 145, p. 120-130, https://doi.org/10.1016/j.dsr2.2015.11.013.","productDescription":"11 p.","startPage":"120","endPage":"130","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055976","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":470247,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.dsr2.2015.11.013","text":"External Repository"},{"id":314314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Bay of Biscay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -9.82177734375,\n              43.27720532212024\n            ],\n            [\n              -9.82177734375,\n              48.574789910928864\n            ],\n            [\n              -0.15380859375,\n              48.574789910928864\n            ],\n            [\n              -0.15380859375,\n              43.27720532212024\n            ],\n            [\n              -9.82177734375,\n              43.27720532212024\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"145","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5698c6b2e4b0fbd3f7fa4be4","contributors":{"authors":[{"text":"Becheler, Ronan","contributorId":152249,"corporation":false,"usgs":false,"family":"Becheler","given":"Ronan","email":"","affiliations":[{"id":18891,"text":"Ifremer, Centre de Brest, France","active":true,"usgs":false}],"preferred":false,"id":588650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cassone, Anne-Laure","contributorId":152250,"corporation":false,"usgs":false,"family":"Cassone","given":"Anne-Laure","email":"","affiliations":[{"id":18891,"text":"Ifremer, Centre de Brest, France","active":true,"usgs":false}],"preferred":false,"id":588651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Noel, Philippe","contributorId":152251,"corporation":false,"usgs":false,"family":"Noel","given":"Philippe","email":"","affiliations":[{"id":18891,"text":"Ifremer, Centre de Brest, France","active":true,"usgs":false}],"preferred":false,"id":588652,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mouchel, Olivier","contributorId":152252,"corporation":false,"usgs":false,"family":"Mouchel","given":"Olivier","email":"","affiliations":[{"id":18891,"text":"Ifremer, Centre de Brest, France","active":true,"usgs":false}],"preferred":false,"id":588653,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morrison, Cheryl L. 0000-0001-9425-691X cmorrison@usgs.gov","orcid":"https://orcid.org/0000-0001-9425-691X","contributorId":146488,"corporation":false,"usgs":true,"family":"Morrison","given":"Cheryl","email":"cmorrison@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":588649,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arnaud-Haond, Sophie","contributorId":152253,"corporation":false,"usgs":false,"family":"Arnaud-Haond","given":"Sophie","email":"","affiliations":[{"id":18892,"text":"Ifremer, Centre of Brest, and Ifremer, Centre de Sete, France","active":true,"usgs":false}],"preferred":false,"id":588654,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70190718,"text":"70190718 - 2017 - Surface slip during large Owens Valley earthquakes","interactions":[],"lastModifiedDate":"2019-03-27T10:08:47","indexId":"70190718","displayToPublicDate":"2016-01-08T10:08:29","publicationYear":"2017","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Surface slip during large Owens Valley earthquakes","docAbstract":"<div class=\"article-section__content en main\"><p>The 1872 Owens Valley earthquake is the third largest known historical earthquake in California. Relatively sparse field data and a complex rupture trace, however, inhibited attempts to fully resolve the slip distribution and reconcile the total moment release. We present a new, comprehensive record of surface slip based on lidar and field investigation, documenting 162 new measurements of laterally and vertically displaced landforms for 1872 and prehistoric Owens Valley earthquakes. Our lidar analysis uses a newly developed analytical tool to measure fault slip based on cross‐correlation of sublinear topographic features and to produce a uniquely shaped probability density function (PDF) for each measurement. Stacking PDFs along strike to form cumulative offset probability distribution plots (COPDs) highlights common values corresponding to single and multiple‐event displacements. Lateral offsets for 1872 vary systematically from ∼1.0 to 6.0 m and average 3.3 ± 1.1 m (2σ). Vertical offsets are predominantly east‐down between ∼0.1 and 2.4 m, with a mean of 0.8 ± 0.5 m. The average lateral‐to‐vertical ratio compiled at specific sites is ∼6:1. Summing displacements across subparallel, overlapping rupture traces implies a maximum of 7–11 m and net average of 4.4 ± 1.5 m, corresponding to a geologic M<sub><i>w</i></sub><span>&nbsp;</span>∼7.5 for the 1872 event. We attribute progressively higher‐offset lateral COPD peaks at 7.1 ± 2.0 m, 12.8 ± 1.5 m, and 16.6 ± 1.4 m to three earlier large surface ruptures. Evaluating cumulative displacements in context with previously dated landforms in Owens Valley suggests relatively modest rates of fault slip, averaging between ∼0.6 and 1.6 mm/yr (1σ) over the late Quaternary.</p></div>","language":"English","publisher":"AGU","doi":"10.1002/2015GC006033","usgsCitation":"Haddon, E., Amos, C., Zielke, O., Jayko, A.S., and Burgmann, R., 2017, Surface slip during large Owens Valley earthquakes, v. 17, no. 6, 31 p., https://doi.org/10.1002/2015GC006033.","productDescription":"31 p.","startPage":"2239","endPage":"2269","ipdsId":"IP-088576","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":362369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Haddon, Elizabeth 0000-0001-7601-7755 ehaddon@usgs.gov","orcid":"https://orcid.org/0000-0001-7601-7755","contributorId":196407,"corporation":false,"usgs":true,"family":"Haddon","given":"Elizabeth","email":"ehaddon@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":710260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amos, Colin","contributorId":196408,"corporation":false,"usgs":false,"family":"Amos","given":"Colin","affiliations":[],"preferred":false,"id":710261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zielke, Olaf","contributorId":174026,"corporation":false,"usgs":false,"family":"Zielke","given":"Olaf","affiliations":[{"id":24561,"text":"KAUST","active":true,"usgs":false}],"preferred":false,"id":710262,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jayko, Angela S. 0000-0002-7378-0330 ajayko@usgs.gov","orcid":"https://orcid.org/0000-0002-7378-0330","contributorId":2531,"corporation":false,"usgs":true,"family":"Jayko","given":"Angela","email":"ajayko@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":710263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burgmann, Roland","contributorId":192700,"corporation":false,"usgs":false,"family":"Burgmann","given":"Roland","affiliations":[],"preferred":false,"id":710264,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70161826,"text":"70161826 - 2017 - An alternative framework for responding to the amphibian crisis","interactions":[],"lastModifiedDate":"2017-03-03T11:01:19","indexId":"70161826","displayToPublicDate":"2016-01-07T10:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2968,"text":"Oryx","active":true,"publicationSubtype":{"id":10}},"title":"An alternative framework for responding to the amphibian crisis","docAbstract":"<p><span>Volumes of data illustrate the severity of the crisis affecting amphibians, where &gt; 32% of amphibians worldwide are threatened with declining populations. Although there have been isolated victories, the current approach to the issue is unsuccessful. We suggest that a radically different approach, something akin to human emergency response management (i.e. the Incident Command System), is one alternative to addressing the inertia and lack of cohesion in responding to amphibian issues. We acknowledge existing efforts and the useful research that has been conducted, but we suggest that a change is warranted and that the identification of a new amphibian chytrid provides the impetus for such a change. Our goal is to recognize that without a centralized effort we (collectively) are likely to fail in responding to this challenge.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0030605315001131","usgsCitation":"Muths, E.L., and Fisher, R.N., 2017, An alternative framework for responding to the amphibian crisis: Oryx, v. 51, no. 2, p. 210-213, https://doi.org/10.1017/S0030605315001131.","productDescription":"4 p.","startPage":"210","endPage":"213","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064687","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":461851,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/s0030605315001131","text":"Publisher Index Page"},{"id":313996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-16","publicationStatus":"PW","scienceBaseUri":"568f8c2ee4b0e7a44bc5ec76","contributors":{"authors":[{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":587863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":587864,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187051,"text":"70187051 - 2017 - Reference intervals for serum biochemistries of molting Pacific Black Brant (<i>Branta bernicla nigricans</i>) in Northern Alaska, USA","interactions":[],"lastModifiedDate":"2017-07-21T14:33:59","indexId":"70187051","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Reference intervals for serum biochemistries of molting Pacific Black Brant (<i>Branta bernicla nigricans</i>) in Northern Alaska, USA","docAbstract":"<p><span>We determined reference intervals for nine serum biochemistries in samples from 329 molting, after-hatch-year, Pacific Black Brant (</span><i><i>Branta bernicla</i> nigricans</i><span>) in Alaska, US. Cholesterol and nonesterified fatty acids differed by sex, but no other differences were noted.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2016-08-193","usgsCitation":"Franson, J.C., Flint, P.L., and Schmutz, J.A., 2017, Reference intervals for serum biochemistries of molting Pacific Black Brant (<i>Branta bernicla nigricans</i>) in Northern Alaska, USA: Journal of Wildlife Diseases, v. 53, no. 2, p. 417-419, https://doi.org/10.7589/2016-08-193.","productDescription":"3 p.","startPage":"417","endPage":"419","ipdsId":"IP-080421","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":438467,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7348HTX","text":"USGS data release","linkHelpText":"Serum biochemistries of Pacific black brant"},{"id":340002,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344203,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7348HTX","text":"Serum biochemistries of Pacific black brant"}],"country":"United States","state":"Alaska","volume":"53","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f877b9e4b0b7ea54521c1c","contributors":{"authors":[{"text":"Franson, J. Christian 0000-0002-0251-4238 jfranson@usgs.gov","orcid":"https://orcid.org/0000-0002-0251-4238","contributorId":177499,"corporation":false,"usgs":true,"family":"Franson","given":"J.","email":"jfranson@usgs.gov","middleInitial":"Christian","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":692194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@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":692195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":692196,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191539,"text":"70191539 - 2017 - Geologic setting of the proposed West Flank Forge Site, California: Suitability for EGS research and development","interactions":[],"lastModifiedDate":"2018-01-05T15:32:41","indexId":"70191539","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5555,"text":"GRC Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Geologic setting of the proposed West Flank Forge Site, California: Suitability for EGS research and development","docAbstract":"<p>The proposed West Flank FORGE site is within the China Lake Naval Air Weapons Station (NAWS), China Lake, CA. The West Flank is west of the Coso geothermal field, an area of China Lake NAWS dominated by the Quaternary Coso volcanic field largely comprised of rhyolite domes and their volcaniclastic and epiclastic horizons. The largest dome flow complex, Sugarloaf Mountain, marks the northwestern margin of the geothermal field. The West Flank is situated due west of Sugarloaf. The geologic setting of the West Flank was determined from one deep well (83-11) drilled as a potential production hole in 2009. The bottom-hole temperature (BHT) of well 83-11 approaches 600 oF (315˚C), but flow tests demonstrate very low, non-commercial permeabilities. With the exception of the upper 600 feet of volcaniclastic alluvium, well 83-11 is completed in granitic basement. The West Flank possesses the primary attributes of a FORGE site: non-commercial permeability (&lt;10<sup>-16</sup>m<sup>2</sup>),&nbsp;a 175˚ to 225˚C temperature range in crystalline rocks, and a location outside an existing geothermal field</p><p>The Coso Mountains host the Coso volcanic field and are within a right-releasing stepover between the dextral Airport Lake (ALF) and Little Lake fault zones (LLFZ) and the Wild Horse Mesa and Owens Valley faults. Two distinct fault populations have been identified at Coso: WNW-trending and antithetical, NE-trending strike-slip faults and N- to NNE-trending normal faults. These faults are both high permeability drilling targets at depth within the main (productive) geothermal field and they locally segment the field into distinct hydrothermal regimes. The West Flank may be segmented from the rest of the field by one such northerly trending fault. The overall minimum principal stress orientation in the main geothermal field varies from 103˚ to 108˚; however, the minimum horizontal principal stress in 83-11 is rotated to 081˚. </p>","language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Sabin, A., Blake, K., Lazaro, M., Blankenship, D., Kennedy, M., McCullough, J., DeOreo, S., Hickman, S.H., Glen, J.M., Kaven, J., Williams, C.F., Phelps, G., Faulds, J., Hinz, N., Calvin, W.M., Siler, D., and Robertson-Tait, A., 2017, Geologic setting of the proposed West Flank Forge Site, California: Suitability for EGS research and development: GRC Transactions, p. 345-352.","productDescription":"8 p.","startPage":"345","endPage":"352","ipdsId":"IP-066171","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":350342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Coso volcanic field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.08744812011719,\n              39.74626606218367\n            ],\n            [\n              -88.79631042480467,\n              39.74626606218367\n            ],\n            [\n              -88.79631042480467,\n              39.95291166179976\n            ],\n            [\n              -89.08744812011719,\n              39.95291166179976\n            ],\n            [\n              -89.08744812011719,\n              39.74626606218367\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc5ae4b06e28e9c23d9d","contributors":{"authors":[{"text":"Sabin, Andrew","contributorId":197141,"corporation":false,"usgs":false,"family":"Sabin","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":712683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blake, Kelly","contributorId":197142,"corporation":false,"usgs":false,"family":"Blake","given":"Kelly","affiliations":[],"preferred":false,"id":712684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lazaro, Mike","contributorId":197143,"corporation":false,"usgs":false,"family":"Lazaro","given":"Mike","email":"","affiliations":[],"preferred":false,"id":712685,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blankenship, Douglas","contributorId":198213,"corporation":false,"usgs":false,"family":"Blankenship","given":"Douglas","email":"","affiliations":[],"preferred":false,"id":712686,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kennedy, Mack","contributorId":198215,"corporation":false,"usgs":false,"family":"Kennedy","given":"Mack","email":"","affiliations":[],"preferred":false,"id":712687,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCullough, Jess","contributorId":197146,"corporation":false,"usgs":false,"family":"McCullough","given":"Jess","email":"","affiliations":[],"preferred":false,"id":712688,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DeOreo, S.B.","contributorId":7059,"corporation":false,"usgs":true,"family":"DeOreo","given":"S.B.","email":"","affiliations":[],"preferred":false,"id":712689,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hickman, Stephen H. 0000-0003-2075-9615 hickman@usgs.gov","orcid":"https://orcid.org/0000-0003-2075-9615","contributorId":2705,"corporation":false,"usgs":true,"family":"Hickman","given":"Stephen","email":"hickman@usgs.gov","middleInitial":"H.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":712691,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Glen, Jonathan M.G. 0000-0002-3502-3355 jglen@usgs.gov","orcid":"https://orcid.org/0000-0002-3502-3355","contributorId":176530,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":712692,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kaven, J. 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,{"id":70189953,"text":"70189953 - 2017 - From submarine to lacustrine groundwater discharge","interactions":[],"lastModifiedDate":"2017-08-14T11:33:50","indexId":"70189953","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"From submarine to lacustrine groundwater discharge","docAbstract":"Submarine groundwater discharge (SGD) and its role in marine nutrient cycling are well known since the last decade. The freshwater equivalent, lacustrine groundwater discharge (LGD), is often still disregarded, although first reports of LGD are more than 50 years old. We identify nine different reasons why groundwater has long been disregarded in both freshwater and marine environments such as invisibility of groundwater discharge, the size of the interface and its difficult accessibility. Although there are some\r\nfundamental differences in the hydrology of SGD and LGD, caused primarily by seawater recirculation that occurs only in cases of SGD, there are also a lot of similarities such as a focusing of discharge to near-shore areas. Nutrient concentrations in groundwater near the groundwater–surface water interface might be anthropogenically enriched. Due to spatial heterogeneity of aquifer characteristics and biogeochemical processes, the quantification of groundwater-borne nutrient loads is challenging. Both nitrogen and\r\nphosphorus might be mobile in near-shore aquifers and in a lot of case studies large groundwater-borne nutrient loads have been reported.","largerWorkTitle":"Proceedings of the International Association of Hydrological Sciences","conferenceTitle":"Symposium on Experimental and Efficient Algorithms","conferenceDate":"July 2013","conferenceLocation":"Gothenburg, Sweden","language":"English","publisher":"IAHS Press","doi":"10.5194/piahs-365-72-2015","usgsCitation":"Lewandowski, J., Meinikmann, K., Poschke, F., Nutzmann, G., and Rosenberry, D.O., 2017, From submarine to lacustrine groundwater discharge, <i>in</i> Proceedings of the International Association of Hydrological Sciences, v. 365, Gothenburg, Sweden, July 2013, p. 72-78, https://doi.org/10.5194/piahs-365-72-2015.","productDescription":"7 p.","startPage":"72","endPage":"78","ipdsId":"IP-055744","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":470248,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/piahs-365-72-2015","text":"Publisher Index Page"},{"id":344814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"365","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-02","publicationStatus":"PW","scienceBaseUri":"59b76f73e4b08b1644ddfb01","contributors":{"authors":[{"text":"Lewandowski, Jorg","contributorId":195317,"corporation":false,"usgs":false,"family":"Lewandowski","given":"Jorg","email":"","affiliations":[],"preferred":false,"id":706866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meinikmann, Karin","contributorId":195318,"corporation":false,"usgs":false,"family":"Meinikmann","given":"Karin","email":"","affiliations":[],"preferred":false,"id":706867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poschke, Franziska","contributorId":195360,"corporation":false,"usgs":false,"family":"Poschke","given":"Franziska","email":"","affiliations":[],"preferred":false,"id":706868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nutzmann, Gunnar","contributorId":195319,"corporation":false,"usgs":false,"family":"Nutzmann","given":"Gunnar","email":"","affiliations":[],"preferred":false,"id":706869,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":706865,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70190305,"text":"70190305 - 2017 - Reservoir rehabilitations: Seeking the Fountain of Youth","interactions":[],"lastModifiedDate":"2018-02-28T14:30:51","indexId":"70190305","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Reservoir rehabilitations: Seeking the Fountain of Youth","docAbstract":"Aging of reservoirs alters the functions, and associated services, of these systems through time. The goal of habitat rehabilitation is often to alter the trajectory of the aging process such that the duration of the desired state is prolonged. There are two important characteristics in alteration of the trajectory—the amplitude relative to current state and the subsequent rate of change, or aging—that ultimately determine the duration of extension for the desired state. Rehabilitation processes largely fall into three main categories: fish community manipulation, water quality manipulation, and physical habitat manipulation. We can slow aging of reservoirs through carefully implemented management actions, perhaps even turning back the hands of time, but we cannot stop aging. We call for new, innovative perspectives that incorporate an understanding of aging processes in all steps of rehabilitation of reservoirs, especially in planning and assessing.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03632415.2015.1017635","usgsCitation":"Pegg, M.A., Pope, K.L., Powell, L., Turek, K.C., Spurgeon, J., Stewart, N.T., Hogberg, N.P., and Porath, M.T., 2017, Reservoir rehabilitations: Seeking the Fountain of Youth: Fisheries, v. 40, no. 4, p. 177-181, https://doi.org/10.1080/03632415.2015.1017635.","productDescription":"5 p.","startPage":"177","endPage":"181","ipdsId":"IP-058336","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":345103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-15","publicationStatus":"PW","scienceBaseUri":"599fe5b8e4b038630d0220fa","contributors":{"authors":[{"text":"Pegg, Mark A.","contributorId":45212,"corporation":false,"usgs":true,"family":"Pegg","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":708364,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":708362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powell, L.A.","contributorId":51262,"corporation":false,"usgs":true,"family":"Powell","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":708365,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turek, Kelly C.","contributorId":7603,"corporation":false,"usgs":true,"family":"Turek","given":"Kelly","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":708366,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spurgeon, Jonathan J.","contributorId":146395,"corporation":false,"usgs":false,"family":"Spurgeon","given":"Jonathan J.","affiliations":[],"preferred":false,"id":708367,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, Nathaniel T.","contributorId":171639,"corporation":false,"usgs":false,"family":"Stewart","given":"Nathaniel","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":708368,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hogberg, Nick P.","contributorId":195831,"corporation":false,"usgs":false,"family":"Hogberg","given":"Nick","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":708369,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Porath, Mark T.","contributorId":28846,"corporation":false,"usgs":true,"family":"Porath","given":"Mark","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":708370,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70228805,"text":"70228805 - 2017 - An Arctic and Subarctic ostracode database: Biogeographic and paleoceanographic applications","interactions":[],"lastModifiedDate":"2022-02-22T15:28:27.560491","indexId":"70228805","displayToPublicDate":"2015-12-10T09:23:26","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"An Arctic and Subarctic ostracode database: Biogeographic and paleoceanographic applications","docAbstract":"<p><span>A new Arctic Ostracode Database-2015 (AOD-2015) provides census data for 96 species of benthic marine Ostracoda from 1340 modern surface sediments from the Arctic Ocean and subarctic seas. Ostracoda is a meiofaunal, Crustacea group that secretes a bivalved calcareous (CaCO</span><sub>3</sub><span>) shell commonly preserved in sediments. Arctic and subarctic ostracode species have ecological limits controlled by temperature, salinity, oxygen, sea ice, food, and other habitat-related factors. Unique species ecology, shell chemistry (Mg/Ca ratios, stable isotopes), and limited stratigraphic ranges make them a useful tool for paleoceanographic reconstructions and biostratigraphy. The database, described here, will facilitate the investigation of modern ostracode biogeography, regional community structure, and ecology. These data, when compared to downcore faunal data from sediment cores, will provide a better understanding of how the Arctic has been affected by climatic and oceanographic change during the Quaternary. Images of all species and biogeographic distribution maps for selected species are presented, with brief discussion of representative species’ biogeographic and ecological significance. Publication of AOD-2015 is open-sourced and will be available online at several public websites with latitude, longitude, water depth, and bottom water temperature for most samples. It includes material from Arctic abyssal plains and submarine ridges, continental slopes, and shelves of the Kara, Laptev, East Siberian, Chukchi, Beaufort Seas, and several subarctic regions.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s10750-015-2587-4","usgsCitation":"Gemery, L., Cronin, T.M., Briggs, W.M., Brouwers, E.M., Schornikov, E.I., Stepanova, A., Wood, A.M., and Yasuhara, M., 2017, An Arctic and Subarctic ostracode database: Biogeographic and paleoceanographic applications: Hydrobiologia, v. 786, p. 59-95, https://doi.org/10.1007/s10750-015-2587-4.","productDescription":"37 p.","startPage":"59","endPage":"95","ipdsId":"IP-070287","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":396243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arctic, Subarctic","volume":"786","noUsgsAuthors":false,"publicationDate":"2015-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Gemery, Laura 0000-0003-1966-8732 lgemery@usgs.gov","orcid":"https://orcid.org/0000-0003-1966-8732","contributorId":5402,"corporation":false,"usgs":true,"family":"Gemery","given":"Laura","email":"lgemery@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":835560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":835561,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, William M.","contributorId":279853,"corporation":false,"usgs":false,"family":"Briggs","given":"William","email":"","middleInitial":"M.","affiliations":[{"id":57377,"text":"INSTAAR","active":true,"usgs":false}],"preferred":false,"id":835562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brouwers, Elisabeth M. brouwers@usgs.gov","contributorId":279854,"corporation":false,"usgs":true,"family":"Brouwers","given":"Elisabeth","email":"brouwers@usgs.gov","middleInitial":"M.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":835563,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schornikov, Eugene I.","contributorId":279855,"corporation":false,"usgs":false,"family":"Schornikov","given":"Eugene","email":"","middleInitial":"I.","affiliations":[{"id":57378,"text":"Zhirmunsky Institute of Marine Biology","active":true,"usgs":false}],"preferred":false,"id":835564,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stepanova, Anna","contributorId":147368,"corporation":false,"usgs":false,"family":"Stepanova","given":"Anna","email":"","affiliations":[{"id":16831,"text":"Borissiak Paleontological Institute","active":true,"usgs":false}],"preferred":false,"id":835565,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wood, Adrian M.","contributorId":279856,"corporation":false,"usgs":false,"family":"Wood","given":"Adrian","email":"","middleInitial":"M.","affiliations":[{"id":57379,"text":"Coventry University","active":true,"usgs":false}],"preferred":false,"id":835566,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yasuhara, Moriaki","contributorId":178705,"corporation":false,"usgs":false,"family":"Yasuhara","given":"Moriaki","email":"","affiliations":[],"preferred":false,"id":835567,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70159196,"text":"70159196 - 2017 - Hierarchical stochastic modeling of large river ecosystems and fish growth across spatio-temporal scales and climate models: the Missouri River endangered pallid sturgeon example","interactions":[],"lastModifiedDate":"2017-01-03T16:21:01","indexId":"70159196","displayToPublicDate":"2015-10-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5011,"text":"Geological Society of London Special Publications","active":true,"publicationSubtype":{"id":10}},"title":"Hierarchical stochastic modeling of large river ecosystems and fish growth across spatio-temporal scales and climate models: the Missouri River endangered pallid sturgeon example","docAbstract":"<p>We present a hierarchical series of spatially decreasing and temporally increasing models to evaluate the uncertainty in the atmosphere &ndash; ocean global climate model (AOGCM) and the regional climate model (RCM) relative to the uncertainty in the somatic growth of the endangered pallid sturgeon (Scaphirhynchus albus). For effects on fish populations of riverine ecosystems, cli- mate output simulated by coarse-resolution AOGCMs and RCMs must be downscaled to basins to river hydrology to population response. One needs to transfer the information from these climate simulations down to the individual scale in a way that minimizes extrapolation and can account for spatio-temporal variability in the intervening stages. The goal is a framework to determine whether, given uncertainties in the climate models and the biological response, meaningful inference can still be made. The non-linear downscaling of climate information to the river scale requires that one realistically account for spatial and temporal variability across scale. Our down- scaling procedure includes the use of fixed/calibrated hydrological flow and temperature models coupled with a stochastically parameterized sturgeon bioenergetics model. We show that, although there is a large amount of uncertainty associated with both the climate model output and the fish growth process, one can establish significant differences in fish growth distributions between models, and between future and current climates for a given model.</p>","largerWorkTitle":"Integrated Environmental Modelling to Solve Real World Problems: Methods, Vision and Challenges","language":"English","publisher":"Geological Society of London","doi":"10.1144/SP408.11","usgsCitation":"Wildhaber, M.L., Wikle, C.K., Moran, E.H., Anderson, C.J., Franz, K.J., and Dey, R., 2017, Hierarchical stochastic modeling of large river ecosystems and fish growth across spatio-temporal scales and climate models: the Missouri River endangered pallid sturgeon example: Geological Society of London Special Publications, v. 408, p. 119-145, https://doi.org/10.1144/SP408.11.","productDescription":"27 p.","startPage":"119","endPage":"145","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042354","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":470249,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/ge_at_pubs/290","text":"External Repository"},{"id":311623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Missouri River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.3076171875,\n              38.94232097947902\n            ],\n            [\n              -92.2412109375,\n              39.14710270770074\n            ],\n            [\n 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mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":577821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wikle, Christopher K.","contributorId":116632,"corporation":false,"usgs":false,"family":"Wikle","given":"Christopher","email":"","middleInitial":"K.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":577825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moran, Edward H. emoran@usgs.gov","contributorId":5445,"corporation":false,"usgs":true,"family":"Moran","given":"Edward","email":"emoran@usgs.gov","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research 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,{"id":70160437,"text":"70160437 - 2017 - A fully-stochasticized, age-structured population model for population viability analysis of fish: Lower Missouri River endangered pallid sturgeon example","interactions":[],"lastModifiedDate":"2017-08-09T17:02:58","indexId":"70160437","displayToPublicDate":"2015-08-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"A fully-stochasticized, age-structured population model for population viability analysis of fish: Lower Missouri River endangered pallid sturgeon example","docAbstract":"<p>We develop a fully-stochasticized, age-structured population model suitable for population viability analysis (PVA) of fish and demonstrate its use with the endangered pallid sturgeon (<i>Scaphirhynchus albus</i>) of the Lower Missouri River as an example. The model incorporates three levels of variance: parameter variance (uncertainty about the value of a parameter itself) applied at the iteration level, temporal variance (uncertainty caused by random environmental fluctuations over time) applied at the time-step level, and implicit individual variance (uncertainty caused by differences between individuals) applied within the time-step level. We found that population dynamics were most sensitive to survival rates, particularly age-2+ survival, and to fecundity-at-length. The inclusion of variance (unpartitioned or partitioned), stocking, or both generally decreased the influence of individual parameters on population growth rate. The partitioning of variance into parameter and temporal components had a strong influence on the importance of individual parameters, uncertainty of model predictions, and quasiextinction risk (i.e., pallid sturgeon population size falling below 50 age-1+ individuals). Our findings show that appropriately applying variance in PVA is important when evaluating the relative importance of parameters, and reinforce the need for better and more precise estimates of crucial life-history parameters for pallid sturgeon.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ecolmodel.2015.07.019","usgsCitation":"Wildhaber, M.L., Albers, J.L., Green, N.S., and Moran, E.H., 2017, A fully-stochasticized, age-structured population model for population viability analysis of fish: Lower Missouri River endangered pallid sturgeon example: Ecological Modelling, v. 359, p. 434-448, https://doi.org/10.1016/j.ecolmodel.2015.07.019.","productDescription":"15 p.","startPage":"434","endPage":"448","ipdsId":"IP-063152","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":470251,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2015.07.019","text":"Publisher Index Page"},{"id":312542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lower Missouri River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.448974609375,\n              42.42345651793833\n            ],\n            [\n              -96.35009765625,\n              42.58544425738491\n            ],\n            [\n              -97.294921875,\n              42.94033923363183\n            ],\n            [\n              -98.031005859375,\n              42.88401467044253\n            ],\n            [\n              -99.151611328125,\n              43.65197548731187\n            ],\n          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Center","active":true,"usgs":true}],"preferred":true,"id":582891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, Nicholas S. 0000-0002-8538-4191 ngreen@usgs.gov","orcid":"https://orcid.org/0000-0002-8538-4191","contributorId":150743,"corporation":false,"usgs":true,"family":"Green","given":"Nicholas","email":"ngreen@usgs.gov","middleInitial":"S.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":582892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moran, Edward H. emoran@usgs.gov","contributorId":5445,"corporation":false,"usgs":true,"family":"Moran","given":"Edward","email":"emoran@usgs.gov","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":582893,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70155010,"text":"70155010 - 2017 - Salinity influences on aboveground and belowground net primary productivity in tidal wetlands","interactions":[],"lastModifiedDate":"2017-03-03T11:00:09","indexId":"70155010","displayToPublicDate":"2015-08-05T14:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Salinity influences on aboveground and belowground net primary productivity in tidal wetlands","docAbstract":"<p><span>Tidal freshwater wetlands are one of the most vulnerable ecosystems to climate change and rising sea levels. However salinification within these systems is poorly understood, therefore, productivity (litterfall, woody biomass, and fine roots) were investigated on three forested tidal wetlands [(1)&nbsp;freshwater, (2)&nbsp;moderately saline, and (3)&nbsp;heavily salt-impacted] and a marsh along the Waccamaw and Turkey Creek in South Carolina. Mean aboveground (litterfall and woody biomass) production on the freshwater, moderately saline, heavily salt-impacted, and marsh, respectively, was 1,061, 492, 79, and&nbsp;</span><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mrow\"><span id=\"MathJax-Span-4\" class=\"mn\">0</span><span id=\"MathJax-Span-5\" class=\"mtext\">&thinsp;</span><span id=\"MathJax-Span-6\" class=\"mtext\">&thinsp;</span><span id=\"MathJax-Span-7\" class=\"msup\"><span><span><span id=\"MathJax-Span-8\" class=\"mrow\"><span id=\"MathJax-Span-9\" class=\"mi\">g</span><span id=\"MathJax-Span-10\" class=\"mtext\">&thinsp;</span><span id=\"MathJax-Span-11\" class=\"mi\">m</span></span></span><span><span id=\"MathJax-Span-12\" class=\"mrow\"><span id=\"MathJax-Span-13\" class=\"mo\">&minus;</span><span id=\"MathJax-Span-14\" class=\"mn\">2</span></span></span></span></span><span id=\"MathJax-Span-15\" class=\"mtext\">&thinsp;</span><span id=\"MathJax-Span-16\" class=\"msup\"><span><span><span id=\"MathJax-Span-17\" class=\"mrow\"><span id=\"MathJax-Span-18\" class=\"mi\">year</span></span></span><span><span id=\"MathJax-Span-19\" class=\"mrow\"><span id=\"MathJax-Span-20\" class=\"mo\">&minus;</span><span id=\"MathJax-Span-21\" class=\"mn\">1</span></span></span></span></span></span></span></span></span></span></span><span>&nbsp;versus belowground (fine roots) 860, 490, 620, and&nbsp;</span><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\"><span id=\"MathJax-Span-22\" class=\"math\"><span><span><span id=\"MathJax-Span-23\" class=\"mrow\"><span id=\"MathJax-Span-24\" class=\"mrow\"><span id=\"MathJax-Span-25\" class=\"mn\">2,128</span><span id=\"MathJax-Span-26\" class=\"mtext\">&thinsp;</span><span id=\"MathJax-Span-27\" class=\"mtext\">&thinsp;</span><span id=\"MathJax-Span-28\" class=\"msup\"><span><span><span id=\"MathJax-Span-29\" class=\"mrow\"><span id=\"MathJax-Span-30\" class=\"mi\">g</span><span id=\"MathJax-Span-31\" class=\"mtext\">&thinsp;</span><span id=\"MathJax-Span-32\" class=\"mi\">m</span></span></span><span><span id=\"MathJax-Span-33\" class=\"mrow\"><span id=\"MathJax-Span-34\" class=\"mo\">&minus;</span><span id=\"MathJax-Span-35\" class=\"mn\">2</span></span></span></span></span><span id=\"MathJax-Span-36\" class=\"mtext\">&thinsp;</span><span id=\"MathJax-Span-37\" class=\"msup\"><span><span><span id=\"MathJax-Span-38\" class=\"mrow\"><span id=\"MathJax-Span-39\" class=\"mi\">year</span></span></span><span><span id=\"MathJax-Span-40\" class=\"mrow\"><span id=\"MathJax-Span-41\" class=\"mo\">&minus;</span><span id=\"MathJax-Span-42\" class=\"mn\">1</span></span></span></span></span></span></span></span></span></span></span><span>. Litterfall and woody biomass displayed an inverse relationship with salinity. Shifts in productivity across saline sites is of concern because sea level is predicted to continue rising. Results from the research reported in this paper provide baseline data upon which coupled hydrologic/wetland models can be created to quantify future changes in tidal forest functions.</span><br /><span><br /></span></p>","language":"English","publisher":"ASCE","doi":"10.1061/(ASCE)HE.1943-5584.0001223","usgsCitation":"Pierfelice, K., Graeme Lockaby, B., Krauss, K.W., Conner, W.H., Noe, G.E., and Ricker, M.C., 2017, Salinity influences on aboveground and belowground net primary productivity in tidal wetlands: Journal of Hydrologic Engineering, v. 22, no. 1, D5015002-1: 8 p., https://doi.org/10.1061/(ASCE)HE.1943-5584.0001223.","productDescription":"D5015002-1: 8 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061688","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":306445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Kathryn N.","contributorId":145557,"corporation":false,"usgs":false,"family":"Pierfelice","given":"Kathryn N.","affiliations":[{"id":16146,"text":"Ph.D. Candidate. School of Forestry and Wildlife Sciences, Auburn University, Auburn, Alabama","active":true,"usgs":false}],"preferred":false,"id":564627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graeme Lockaby, B.","contributorId":145558,"corporation":false,"usgs":false,"family":"Graeme Lockaby","given":"B.","email":"","affiliations":[{"id":16147,"text":"Professor, School of Forestry and Wildlife Sciences, Auburn University, Auburn, Alabama","active":true,"usgs":false}],"preferred":false,"id":564628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":564629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conner, William H.","contributorId":79376,"corporation":false,"usgs":false,"family":"Conner","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":564630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","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":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":564626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ricker, Matthew C.","contributorId":145559,"corporation":false,"usgs":false,"family":"Ricker","given":"Matthew","email":"","middleInitial":"C.","affiliations":[{"id":16148,"text":"Assistant Professor, Bloomsburg University, Bloomsburg, Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":564631,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70155216,"text":"70155216 - 2017 - Hydrologic modeling in a marsh-mangrove ecotone: Predicting wetland surface water and salinity response to restoration in the Ten Thousand Islands region of Florida, USA","interactions":[],"lastModifiedDate":"2019-09-16T09:43:43","indexId":"70155216","displayToPublicDate":"2015-08-01T12:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic modeling in a marsh-mangrove ecotone: Predicting wetland surface water and salinity response to restoration in the Ten Thousand Islands region of Florida, USA","docAbstract":"<p><span>At the fringe of Everglades National Park in southwest Florida, United States, the Ten Thousand Islands National Wildlife Refuge (TTINWR) habitat has been heavily affected by the disruption of natural freshwater flow across the Tamiami Trail (U.S. Highway 41). As the Comprehensive Everglades Restoration Plan (CERP) proposes to restore the natural sheet flow from the Picayune Strand Restoration Project area north of the highway, the impact of planned measures on the hydrology in the refuge needs to be taken into account. The objective of this study was to develop a simple, computationally efficient mass balance model to simulate the spatial and temporal patterns of water level and salinity within the area of interest. This model could be used to assess the effects of the proposed management decisions on the surface water hydrological characteristics of the refuge. Surface water variations are critical to the maintenance of wetland processes. The model domain is divided into 10 compartments on the basis of their shared topography, vegetation, and hydrologic characteristics. A diversion of&nbsp;</span><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mrow\"><span id=\"MathJax-Span-4\" class=\"mo\">+</span><span id=\"MathJax-Span-5\" class=\"mn\">10</span><span id=\"MathJax-Span-6\" class=\"mo\">%</span></span></span></span></span></span></span><span>&nbsp;of the discharge recorded during the modeling period was simulated in the primary canal draining the Picayune Strand forest north of the Tamiami Trail (Faka Union Canal) and this discharge was distributed as overland flow through the refuge area. Water depths were affected only modestly. However, in the northern part of the refuge, the hydroperiod, i.e.,&nbsp;the duration of seasonal flooding, was increased by 21&nbsp;days (from 115 to 136&nbsp;days) for the simulation during the 2008 wet season, with an average water level rise of 0.06&nbsp;m. The average salinity over a two-year period in the model area just south of Tamiami Trail was reduced by approximately 8 practical salinity units (psu) (from 18 to 10 psu), whereas the peak dry season average was reduced from 35 to 29 psu (by 17%). These salinity reductions were even larger with greater flow diversions (</span><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\"><span id=\"MathJax-Span-7\" class=\"math\"><span><span><span id=\"MathJax-Span-8\" class=\"mrow\"><span id=\"MathJax-Span-9\" class=\"mrow\"><span id=\"MathJax-Span-10\" class=\"mo\">+</span><span id=\"MathJax-Span-11\" class=\"mn\">20</span><span id=\"MathJax-Span-12\" class=\"mo\">%</span></span></span></span></span></span></span><span>). Naturally, the reduction in salinity diminished toward the open water areas where the daily flood tides mix in saline bay water. Partially restoring hydrologic flows to TTINWR will affect hydroperiod and salinity regimes within downslope wetlands, and perhaps serve as a management tool to reduce the speed of future encroachment of mangroves into marsh as sea levels rise.</span></p>","language":"English","publisher":"American Society of Civil Engineers","publisherLocation":"New York, NY","doi":"10.1061/(ASCE)HE.1943-5584.0001260","usgsCitation":"Michot, B., Meselhe, E., Krauss, K.W., Shrestha, S., From, A.S., and Patino, E., 2017, Hydrologic modeling in a marsh-mangrove ecotone: Predicting wetland surface water and salinity response to restoration in the Ten Thousand Islands region of Florida, USA: Journal of Hydrologic Engineering, v. 22, no. 1, D4015002-1: 18 p., https://doi.org/10.1061/(ASCE)HE.1943-5584.0001260.","productDescription":"D4015002-1: 18 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059510","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":306317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55c090b0e4b033ef521042a1","contributors":{"authors":[{"text":"Michot, B.D.","contributorId":145740,"corporation":false,"usgs":false,"family":"Michot","given":"B.D.","email":"","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":565124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meselhe, E.A.","contributorId":145741,"corporation":false,"usgs":false,"family":"Meselhe","given":"E.A.","email":"","affiliations":[{"id":16216,"text":"Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":565125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":565123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shrestha, Surendra","contributorId":145742,"corporation":false,"usgs":false,"family":"Shrestha","given":"Surendra","email":"","affiliations":[],"preferred":false,"id":565126,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"From, Andrew S. 0000-0002-6543-2627 froma@usgs.gov","orcid":"https://orcid.org/0000-0002-6543-2627","contributorId":5038,"corporation":false,"usgs":true,"family":"From","given":"Andrew","email":"froma@usgs.gov","middleInitial":"S.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":565127,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Patino, Eduardo 0000-0003-1016-3658 epatino@usgs.gov","orcid":"https://orcid.org/0000-0003-1016-3658","contributorId":1743,"corporation":false,"usgs":true,"family":"Patino","given":"Eduardo","email":"epatino@usgs.gov","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true},{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":565128,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70187635,"text":"70187635 - 2017 - Earth Stewardship: An initiative by the Ecological Society of America to foster engagement to sustain Planet Earth","interactions":[],"lastModifiedDate":"2017-05-12T10:44:34","indexId":"70187635","displayToPublicDate":"2015-06-09T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Earth Stewardship: An initiative by the Ecological Society of America to foster engagement to sustain Planet Earth","docAbstract":"<p><span>The Ecological Society of America (ESA) has responded to the growing commitment among ecologists to make their science relevant to society through a series of concerted efforts, including the Sustainable Biosphere Initiative (1991), scientific assessment of ecosystem management (1996), ESA’s vision for the future (2003), Rapid Response Teams that respond to environmental crises (2005), and the Earth Stewardship Initiative (2009). During the past 25 years, ESA launched five new journals, largely reflecting the expansion of scholarship linking ecology with broader societal issues. The goal of the Earth Stewardship Initiative is to raise awareness and to explore ways for ecologists and other scientists to contribute more effectively to the sustainability of our planet. This has occurred through four approaches: (1) articulation of the stewardship concept in ESA publications and Website, (2) selection of meeting themes and symposia, (3) engagement of ESA sections in implementing the initiative, and (4) outreach beyond ecology through collaborations and demonstration projects. Collaborations include societies and groups of Earth and social scientists, practitioners and policy makers, religious and business leaders, federal agencies, and artists and writers. The Earth Stewardship Initiative is a work in progress, so next steps likely include continued nurturing of these emerging collaborations, advancing the development of sustainability and stewardship theory, improving communication of stewardship science, and identifying opportunities for scientists and civil society to take actions that move the Earth toward a more sustainable trajectory.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Earth Stewardship: Linking ecology and ethics in theory and practice","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","publisherLocation":"Cham","doi":"10.1007/978-3-319-12133-8_12","usgsCitation":"Chapin, F.S., Pickett, S.T., Power, M.E., Collins, S., Baron, J., Inouye, D.W., and Turner, M.G., 2017, Earth Stewardship: An initiative by the Ecological Society of America to foster engagement to sustain Planet Earth, chap. <i>of</i> Earth Stewardship: Linking ecology and ethics in theory and practice, v. 2, p. 173-194, https://doi.org/10.1007/978-3-319-12133-8_12.","productDescription":"22 p.","startPage":"173","endPage":"194","ipdsId":"IP-057985","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":341198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5916c9b4e4b044b359e48698","contributors":{"authors":[{"text":"Chapin, F. Stuart III","contributorId":65632,"corporation":false,"usgs":false,"family":"Chapin","given":"F.","suffix":"III","email":"","middleInitial":"Stuart","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":694865,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pickett, Steward T. A.","contributorId":69758,"corporation":false,"usgs":true,"family":"Pickett","given":"Steward","email":"","middleInitial":"T. A.","affiliations":[],"preferred":false,"id":694866,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Power, Mary E.","contributorId":191956,"corporation":false,"usgs":false,"family":"Power","given":"Mary","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":694964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collins, Scott L.","contributorId":71307,"corporation":false,"usgs":false,"family":"Collins","given":"Scott L.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":694868,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baron, Jill S. 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":174080,"corporation":false,"usgs":true,"family":"Baron","given":"Jill S.","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":694864,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Inouye, David W.","contributorId":191958,"corporation":false,"usgs":false,"family":"Inouye","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":694965,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Turner, Monica G.","contributorId":179345,"corporation":false,"usgs":false,"family":"Turner","given":"Monica","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":694870,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70189927,"text":"70189927 - 2017 - Effect of sediment supply and flow rate on the initiation and topographic evolution of sandbars in laboratory and numerical channels","interactions":[],"lastModifiedDate":"2019-10-17T12:16:27","indexId":"70189927","displayToPublicDate":"2015-05-01T12:05:13","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Effect of sediment supply and flow rate on the initiation and topographic evolution of sandbars in laboratory and numerical channels","docAbstract":"The evolution of barforms from a bed of uniform sediment and changes in sediment storage were measured in a laboratory flume and simulated numerically. Flume experiments were conducted with several upstream sediment supplies and flow conditions. For the sediment supply rates (no upstream supply, equilibrium supply, and 133, 166, and 200 percent of the equilibrium supply) and flow rates examined, the plane bed tended to evolve into mid-channel bars early in the runs ~15 minutes. As the flume experiments progressed, the bed transitioned to a lower mode configuration of alternate bars or a single-thread meandering thalweg. Increasing the upstream sediment supply to 133 percent or more of the equilibrium rate, increased the height and volume of deposited sediment relative to experiments conducted at the equilibrium rate and those experiments without sediment supply. Experiments conducted at flow rates of 0.5 and 1.0 L/s without sediment supply demonstrated that an increase in flow corresponded to a greater volume of erosion. A coupled two-dimensional flow and sediment transport model, Nays2DH, was used to simulate the evolution of bed topography for three sediment supply rates. We compared the morphodynamics and sediment storage predicted by Nays2DH for two initial bed conditions: one set of calculations used a plane bed with a small upstream perturbation as the initial bed condition, and the other set used the bed topography measured 15 minutes after the start of the flume run. Whereas initializing the model with measured flume topography provided a somewhat better analog to the final evolved morphology, predictions of sedimentation were not substantially improved over simulations using the plane bed as the initial condition.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 3rd Joint Federal Interagency Conference (10th Federal Interagency Sedimentation Conference and 5th Federal Interagency Hydrologic Modeling Conference),","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"5th Federal Interagency Hydrologic Modeling Conference and the 10th Federal Interagency Sedimentation Conference","conferenceDate":"April 19 – 23, 2015","conferenceLocation":"Reno, NV","language":"English","publisher":"Advisory Committee on Water Information","usgsCitation":"Kinzel, P.J., Logan, B., and Nelson, J.M., 2017, Effect of sediment supply and flow rate on the initiation and topographic evolution of sandbars in laboratory and numerical channels, <i>in</i> Proceedings of the 3rd Joint Federal Interagency Conference (10th Federal Interagency Sedimentation Conference and 5th Federal Interagency Hydrologic Modeling Conference),, Reno, NV, April 19 – 23, 2015, p. 1132-1143.","productDescription":"12 p.","startPage":"1132","endPage":"1143","ipdsId":"IP-061617","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":368390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368389,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/3rdJFIC/index.html"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":706787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Logan, Brandy blogan@usgs.gov","contributorId":195338,"corporation":false,"usgs":false,"family":"Logan","given":"Brandy","email":"blogan@usgs.gov","affiliations":[],"preferred":false,"id":706788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":706789,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70142752,"text":"fs20153022 - 2017 - Conflict minerals from the Democratic Republic of the Congo—Tin processing plants, a critical part of the tin supply chain","interactions":[],"lastModifiedDate":"2017-02-15T15:28:20","indexId":"fs20153022","displayToPublicDate":"2015-03-24T10:15:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3022","title":"Conflict minerals from the Democratic Republic of the Congo—Tin processing plants, a critical part of the tin supply chain","docAbstract":"<h1>Summary</h1>\n<p>The U.S. Geological Survey (USGS) analyzes mineral and metal supply chains to identify and describe major components of material flows from ore extraction, through intermediate forms, to a final product. Supply chain analyses may be used (1) to identify risks to the United States associated with the supply of critical and strategic minerals and metals and (2) to provide greater supply chain transparency so that policymakers have the fact-based information needed to formulate public policy. This fact sheet focuses on the post-mining/pre-consumer-product part of the tin supply chain. The USGS National Minerals Information Center (NMIC) has been asked by governmental and non-governmental organizations to provide information about tantalum, tin, tungsten, and gold (collectively known as &ldquo;3TG minerals&rdquo;) processing facilities worldwide in response to U.S. legislation aimed at identifying and removing the supply chain links between the trade in these minerals and civil unrest in the Democratic Republic of the Congo (DRC) and adjacent countries.</p>\n<p>Post-beneficiation processing plants (generally called smelters and refineries) for 3TG mineral ores and concentrates were identified by company and industry association representatives as being a link in the 3TG mineral supply chain through which these minerals can be traced to their source of origin (mine). The determination of the source of origin is critical to the development of a complete and transparent conflict-free mineral supply chain. Tungsten processing plants were the subject of the first fact sheet in this series published by the USGS NMIC in August 2014. Background information about historical conditions and multinational stakeholders&rsquo; voluntary due diligence guidance for minerals from conflict-affected and high-risk areas was presented in the tungsten fact sheet. Tantalum processing plants were the subject of the second fact sheet in this series published by the USGS NMIC in December 2014. This fact sheet, the third in the series about 3TG minerals, focuses on the tin supply chain by listing selected processors that produced tin materials commercially worldwide during 2013&ndash;14. It does not provide any information regarding the sources of the material processed in these facilities.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153022","usgsCitation":"Anderson, Charles, 2017, Conflict minerals from the Democratic Republic of the Congo—Tin processing plants, a critical part of the tin supply chain (ver. 2.1, February 2017): U.S. Geological Survey Fact Sheet 2015–3022, 4 p., https://dx.doi.org/10.3133/fs20153022.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063927","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":305883,"rank":2,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2015/3022/verHist.txt","text":"Version History","linkFileType":{"id":2,"text":"txt"},"description":"FS 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data-mce-href=\"http://minerals.usgs.gov/minerals/\">http://minerals.usgs.gov/minerals/</a></p>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2015-03-24","revisedDate":"2017-02-15","noUsgsAuthors":false,"publicationDate":"2015-03-24","publicationStatus":"PW","scienceBaseUri":"55127ca4e4b02e76d75bd5df","contributors":{"authors":[{"text":"Anderson, Charles csanderson@usgs.gov","contributorId":139621,"corporation":false,"usgs":true,"family":"Anderson","given":"Charles","email":"csanderson@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":542097,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70138831,"text":"sir20155010 - 2017 - Spatially distributed groundwater recharge for 2010 land cover estimated using a water-budget model for the Island of O‘ahu, Hawai‘i","interactions":[],"lastModifiedDate":"2020-02-06T13:53:49","indexId":"sir20155010","displayToPublicDate":"2015-02-26T10:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5010","title":"Spatially distributed groundwater recharge for 2010 land cover estimated using a water-budget model for the Island of O‘ahu, Hawai‘i","docAbstract":"<p><span>Owing mainly to projected population growth, demand for freshwater on the Island of Oʻahu is expected to increase by about 26 percent between 2010 and 2030, according to the City and County of Honolulu. Estimates of groundwater recharge are needed to evaluate the availability of fresh groundwater. For this study, a water-budget model with a daily computation interval was developed and used to estimate the spatial distribution of recharge on Oʻahu for average climate conditions (1978–2007 rainfall and 2010 land cover) and for drought conditions (1998–2002 rainfall and 2010 land cover). For average climate conditions, mean annual recharge for Oʻahu is about 660 million gallons per day, or about 36 percent of precipitation (rainfall and fog interception). Recharge for average climate conditions is about 34 percent of total water inflow, which consists of precipitation, irrigation, septic leachate, water-main leakage, and seepage from reservoirs and cesspools. Recharge is high along the crest of the Koʻolau Range, reaching as much as about 180 inches per year in the north-central part of the range. Recharge is much lower outside of the mountainous areas of the island, commonly less than 5 inches per year in unirrigated areas. The island-wide estimate of groundwater recharge for average climate conditions from this study is within 1 percent of the recharge estimate used in the 2008 State of Hawaiʻi Water Resource Protection Plan, which divides the Island of Oʻahu into 23 aquifer systems for groundwater management purposes. To facilitate direct comparisons with this study, these 23 aquifer systems were consolidated into 21 aquifer systems. Recharge estimates from this study are higher for 12 of the aquifer-system areas and lower for 9. Differences in mean rainfall distribution and the inclusion of irrigation in this study are the primary reasons for discrepancies in recharge estimates between this study and the 2008 Hawaiʻi Water Resources Protection Plan. For drought conditions, mean annual recharge for Oʻahu is about 417 million gallons per day, which is about 37 percent less than recharge for average climate conditions. For individual aquifer-system areas, recharge for drought conditions is about 25 to 70 percent less than recharge for average climate conditions.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155010","collaboration":"Prepared in cooperation with the State of Hawai‘i Commission on Water Resource Management and the City and County of Honolulu Board of Water Supply","usgsCitation":"Engott, J.A., Johnson, A.G., Bassiouni, Maoya, Izuka, S.K., and Rotzoll, Kolja, 2017, Spatially distributed groundwater recharge for 2010 land cover estimated using a water-budget model for the Island of O‘ahu, Hawai‘i (ver. 2.0, December 2017): U.S. Geological Survey Scientific Investigations Report 2015–5010, 49 p., https://doi.org/10.3133/sir20155010.","productDescription":"Report: v, 49 p.; 2 Datasets","numberOfPages":"49","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-036376","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":349857,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2015/5010/downloads/sir20155010_v2_versionhist.txt","text":"Version History","size":"3 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2015-5010"},{"id":349860,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7SX6B7M","text":"Dataset","linkHelpText":" - Mean annual water-budget components for the Island of Oahu, Hawaii, for drought conditions, 1998-2002 rainfall and 2010 land cover (version 2.0)"},{"id":298156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5010/images/coverthb.jpg"},{"id":349859,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7XP72ZX","text":"Dataset","linkHelpText":" - Mean annual water-budget components for the Island of Oahu, Hawaii, for average climate conditions, 1978-2007 rainfall and 2010 land cover (version 2.0)"},{"id":349856,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5010/downloads/sir20155010_v2.pdf","text":"Report","size":"12.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5010"}],"country":"United States","state":"Hawai'i","otherGeospatial":"O'ahu","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -158.39263916015625,\n              21.212579790630603\n            ],\n            [\n              -158.39263916015625,\n              21.733988636412214\n            ],\n            [\n              -157.57965087890625,\n              21.733988636412214\n            ],\n            [\n              -157.57965087890625,\n              21.212579790630603\n            ],\n            [\n              -158.39263916015625,\n              21.212579790630603\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: Originally posted February 2015; Version 2.0: December 2017","contact":"<p><a href=\"mailto:dc_hi@usgs.gov\" target=\"_blank\" data-mce-href=\"mailto:dc_hi@usgs.gov\">Director</a>,<br><a href=\"http://hi.water.usgs.gov/\" data-mce-href=\"http://hi.water.usgs.gov/\">Pacific Islands Water Science Center</a><br><a href=\"https://usgs.gov/\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>Inouye Regional Center<br>1845 Wasp Blvd., B176<br>Honolulu, HI&nbsp;</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Description of O‘ahu<br></li><li>Water-Budget Model<br></li><li>Model Input<br></li><li>Model Exclusions and Limitations<br></li><li>Water-Budget and Groundwater-Recharge Estimates<br></li><li>Suggestions for Future Study and Additional Data Collection<br></li><li>Summary and Conclusions<br></li><li>References<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2015-02-25","revisedDate":"2017-12-11","noUsgsAuthors":false,"publicationDate":"2015-02-25","publicationStatus":"PW","scienceBaseUri":"54f043aee4b02419550ce86a","contributors":{"authors":[{"text":"Engott, John A. 0000-0003-1889-4519 jaengott@usgs.gov","orcid":"https://orcid.org/0000-0003-1889-4519","contributorId":1142,"corporation":false,"usgs":true,"family":"Engott","given":"John","email":"jaengott@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":541532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Adam G. 0000-0003-2448-5746 ajohnson@usgs.gov","orcid":"https://orcid.org/0000-0003-2448-5746","contributorId":4752,"corporation":false,"usgs":true,"family":"Johnson","given":"Adam","email":"ajohnson@usgs.gov","middleInitial":"G.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":541533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bassiouni, Maoya 0000-0001-5795-9894 mbassiou@usgs.gov","orcid":"https://orcid.org/0000-0001-5795-9894","contributorId":4639,"corporation":false,"usgs":true,"family":"Bassiouni","given":"Maoya","email":"mbassiou@usgs.gov","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":false,"id":541534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Izuka, Scot K. 0000-0002-8758-9414 skizuka@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-9414","contributorId":2645,"corporation":false,"usgs":true,"family":"Izuka","given":"Scot","email":"skizuka@usgs.gov","middleInitial":"K.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":541535,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rotzoll, Kolja 0000-0002-5910-888X kolja@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-888X","contributorId":3325,"corporation":false,"usgs":true,"family":"Rotzoll","given":"Kolja","email":"kolja@usgs.gov","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":false,"id":724696,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70158595,"text":"70158595 - 2017 - Human land-use and soil change","interactions":[],"lastModifiedDate":"2017-03-03T08:57:27","indexId":"70158595","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5308,"text":"World Soils Book Series","active":true,"publicationSubtype":{"id":24}},"title":"Human land-use and soil change","docAbstract":"Soil change refers to the alteration of soil and soil properties over time in one location, as opposed to soil variability across space.  Although soils change with pedogensis, this chapter focuses on human caused soil change. Soil change can occur with human use and management over long or short time periods and small or large scales.  While change can be negative or positive; often soil change is observed when short-term or narrow goals overshadow the other soil’s ecosystem services. Many soils have been changed in their chemical, physical or biological properties through agricultural activities, including cultivation, tillage, weeding, terracing, subsoiling, deep plowing, manure and fertilizer addition, liming, draining, and irrigation. Assessing soil change depends upon the ecosystem services and soil functions being evaluated.  The interaction of soil properties with the type and intensity of management and disturbance determines the changes that will be observed. Tillage of cropland disrupts aggregates and decreases soil organic carbon content which can lead to decreased infiltration, increased erosion, and reduced biological function. Improved agricultural management systems can increase soil functions including crop productivity and sustainability. Forest management is most intensive during harvesting and seedling establishment. Most active management in forests causes disturbance of the soil surface which may include loss of forest floor organic materials, increases in bulk density, and increased risk of erosion. In grazing lands, pasture management often includes periods of biological, chemical and physical disturbance in addition to the grazing management imposed on rangelands. Grazing animals have both direct and indirect impacts on soil change.  Hoof action can lead to the disturbance of biological crusts and other surface features impairing the soil’s physical, biological and hydrological function.  There are clear feedbacks between vegetative systems and soil properties; when vegetation is altered because of grazing or other disturbances, soil property changes often follow.  Some soils are very sensitive to management and disturbance and can undergo rapid change: cropping led to massive gully formation in the southeastern USA, exposure of acid-sulfate soils led to irreversible changes in soil minerology and thawing of cold soils has created thermokarst features.  These soil changes alter soil properties and functions and may impact soil ecosystem services far into the future.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The soils of the USA","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-41870-4_18","isbn":"978-3-319-41870-4","usgsCitation":"Wills, S., Williams, C.O., Duniway, M.C., Veenstra, J., Seybold, C., and Pressley, D., 2017, Human land-use and soil change, chap. <i>of</i> The soils of the USA: World Soils Book Series, p. 351-371, https://doi.org/10.1007/978-3-319-41870-4_18.","productDescription":"21 p.","startPage":"351","endPage":"371","ipdsId":"IP-063491","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":336806,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-20","publicationStatus":"PW","scienceBaseUri":"58b93d29e4b090ec658d771f","contributors":{"authors":[{"text":"Wills, Skye A.","contributorId":92600,"corporation":false,"usgs":true,"family":"Wills","given":"Skye A.","affiliations":[],"preferred":false,"id":576235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Candiss O.","contributorId":148946,"corporation":false,"usgs":false,"family":"Williams","given":"Candiss","email":"","middleInitial":"O.","affiliations":[{"id":17596,"text":"National Soil Survey Center, USDA-NRCS, Lincoln, NE","active":true,"usgs":false}],"preferred":false,"id":576236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":576234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Veenstra, Jessica","contributorId":148947,"corporation":false,"usgs":false,"family":"Veenstra","given":"Jessica","email":"","affiliations":[{"id":17597,"text":"Flagler College, St. Augustine, FL","active":true,"usgs":false}],"preferred":false,"id":576237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seybold, Cathy","contributorId":148948,"corporation":false,"usgs":false,"family":"Seybold","given":"Cathy","email":"","affiliations":[{"id":17596,"text":"National Soil Survey Center, USDA-NRCS, Lincoln, NE","active":true,"usgs":false}],"preferred":false,"id":576238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pressley, DeAnn","contributorId":148949,"corporation":false,"usgs":false,"family":"Pressley","given":"DeAnn","email":"","affiliations":[{"id":17598,"text":"Kansas State University, Manhattan, KS","active":true,"usgs":false}],"preferred":false,"id":576239,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70180967,"text":"70180967 - 2017 - Biological response to climate change in the Arctic Ocean: The view from the past","interactions":[],"lastModifiedDate":"2017-02-10T14:10:22","indexId":"70180967","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5224,"text":"arktos","active":true,"publicationSubtype":{"id":10}},"title":"Biological response to climate change in the Arctic Ocean: The view from the past","docAbstract":"<p style=\"text-align: left;\" data-mce-style=\"text-align: left;\"><span>The Arctic Ocean is undergoing rapid climatic changes including higher ocean temperatures, reduced sea ice, glacier and Greenland Ice Sheet melting, greater marine productivity, and altered carbon cycling. Until recently, the relationship between climate and Arctic biological systems was poorly known, but this has changed substantially as advances in paleoclimatology, micropaleontology, vertebrate paleontology, and molecular genetics show that Arctic ecosystem history reflects global and regional climatic changes over all timescales and climate states (10</span><sup>3</sup><span>–10</span><sup>7</sup><span>&nbsp;years). Arctic climatic extremes include 25°C hyperthermal periods during the Paleocene-Eocene (56–46 million years ago, Ma), Quaternary glacial periods when thick ice shelves and sea ice cover rendered the Arctic Ocean nearly uninhabitable, seasonally sea-ice-free interglacials and abrupt climate reversals. Climate-driven biological impacts included large changes in species diversity, primary productivity, species’ geographic range shifts into and out of the Arctic, community restructuring, and possible hybridization, but evidence is not sufficient to determine whether or when major episodes of extinction occurred.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s41063-015-0019-3","usgsCitation":"Cronin, T.M., and Cronin, M.A., 2017, Biological response to climate change in the Arctic Ocean: The view from the past: arktos, v. 1, 4; 18 p., https://doi.org/10.1007/s41063-015-0019-3.","productDescription":"4; 18 p.","ipdsId":"IP-068302","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":461855,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s41063-015-0019-3","text":"Publisher Index Page"},{"id":335128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arctic Ocean","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -34.80468749999999,\n              64.32087157990324\n            ],\n            [\n              -34.80468749999999,\n              83.63810565804015\n            ],\n            [\n              64.6875,\n              83.63810565804015\n            ],\n            [\n              64.6875,\n              64.32087157990324\n            ],\n            [\n              -34.80468749999999,\n              64.32087157990324\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-20","publicationStatus":"PW","scienceBaseUri":"589edf28e4b099f50d3dc59a","contributors":{"authors":[{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":662977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cronin, Matthew A.","contributorId":57307,"corporation":false,"usgs":false,"family":"Cronin","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":28157,"text":"LGL Alaska Research Associates, Anchorage, AK","active":true,"usgs":false},{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":662978,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70180074,"text":"70180074 - 2017 - Time within reproductive season, but not age or inbreeding coefficient, influences seminal and sperm quality in the whooping crane (Grus americana)","interactions":[],"lastModifiedDate":"2018-03-19T10:01:52","indexId":"70180074","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5277,"text":"Reproduction, Fertility and Development","onlineIssn":"1448-5990","printIssn":"1031-3613","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Time within reproductive season, but not age or inbreeding coefficient, influences seminal and sperm quality in the whooping crane (<i>Grus americana</i>)","title":"Time within reproductive season, but not age or inbreeding coefficient, influences seminal and sperm quality in the whooping crane (Grus americana)","docAbstract":"<p><span>All living whooping cranes (</span><i>Grus americana</i><span>) are descended from 16 or fewer birds that remained alive in the early 1940s, a bottleneck that puts the species at potential risk for inbreeding depression. Although AI is commonly used in the management of the captive population of this species, little is known about seminal traits or factors affecting sperm quality in the whooping crane. In the present study, semen samples were collected from 29 adult males (age 3–27 years) during the early (March), mid (April) and late (May) breeding season over 2 consecutive years. The effects of donor age, time within reproductive season and level of inbreeding on seminal characteristics were analysed using regression and information–theoretic model selection. Only time within reproductive season significantly affected seminal traits, with total numbers of spermatozoa and proportions of pleiomorphisms increasing across the season. We conclude that, even with a highly restricted number of founders, there is no discernible influence of inbreeding (at the levels described) on sperm output or quality. Furthermore, although there is variance in seminal quality, the whooping crane produces significant numbers of motile spermatozoa throughout the breeding season, similar to values reported for the greater sandhill crane (</span><i>Grus canadensis tabida</i><span>).</span></p>","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/RD15251","usgsCitation":"Brown, M., Converse, S.J., Chandler, J.N., Crosier, A.L., Lynch, W., Wildt, D., Keefer, C.L., and Songsasen, N., 2017, Time within reproductive season, but not age or inbreeding coefficient, influences seminal and sperm quality in the whooping crane (Grus americana): Reproduction, Fertility and Development, v. 29, no. 2, p. 294-306, https://doi.org/10.1071/RD15251.","productDescription":"13 p.","startPage":"294","endPage":"306","ipdsId":"IP-065075","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":333802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"588876dbe4b05ccb964baad5","contributors":{"authors":[{"text":"Brown, M.E.","contributorId":99680,"corporation":false,"usgs":true,"family":"Brown","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":660228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":660227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chandler, Jane N. 0000-0002-6131-2396 jchandler@usgs.gov","orcid":"https://orcid.org/0000-0002-6131-2396","contributorId":3512,"corporation":false,"usgs":true,"family":"Chandler","given":"Jane","email":"jchandler@usgs.gov","middleInitial":"N.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":660229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crosier, A. L.","contributorId":178636,"corporation":false,"usgs":false,"family":"Crosier","given":"A.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":660230,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lynch, W.","contributorId":178637,"corporation":false,"usgs":false,"family":"Lynch","given":"W.","email":"","affiliations":[],"preferred":false,"id":660231,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wildt, D.E.","contributorId":106610,"corporation":false,"usgs":true,"family":"Wildt","given":"D.E.","affiliations":[],"preferred":false,"id":660232,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Keefer, C. L.","contributorId":178639,"corporation":false,"usgs":false,"family":"Keefer","given":"C.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":660233,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Songsasen, Nucharin","contributorId":146371,"corporation":false,"usgs":false,"family":"Songsasen","given":"Nucharin","email":"","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":660234,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70187379,"text":"70187379 - 2017 - Considerations in representing human individuals in social ecological models","interactions":[],"lastModifiedDate":"2017-05-02T09:41:14","indexId":"70187379","displayToPublicDate":"2014-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Considerations in representing human individuals in social ecological models","docAbstract":"<p><span>In this chapter we focus on how to integrate the human individual into social-ecological systems analysis, and how to improve research on individual thought and action regarding the environment by locating it within the broader social-ecological context. We discuss three key questions as considerations for future research: (1) is human thought conceptualized as a dynamic and adaptive process, (2) is the individual placed in a multi-level context (including within-person levels, person-group interactions, and institutional and structural factors), and (3) is human thought seen as mutually constructed with the social and natural environment. Increased emphasis on the individual will be essential if we are to understand agency, innovation, and adaptation in social-ecological systems.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Understanding society and natural resources","language":"English","publisher":"Springer","doi":"10.1007/978-94-017-8959-2_7","usgsCitation":"Manfredo, M.J., Teel, T.L., Gavin, M.C., and Fulton, D.C., 2017, Considerations in representing human individuals in social ecological models, chap. <i>of</i> Understanding society and natural resources, p. 137-158, https://doi.org/10.1007/978-94-017-8959-2_7.","productDescription":"22 p.","startPage":"137","endPage":"158","ipdsId":"IP-050963","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":490024,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-94-017-8959-2_7","text":"Publisher Index Page"},{"id":340716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-25","publicationStatus":"PW","scienceBaseUri":"59099aaee4b0fc4e449157ea","contributors":{"authors":[{"text":"Manfredo, Michael J.","contributorId":127326,"corporation":false,"usgs":false,"family":"Manfredo","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":693875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teel, Tara L.","contributorId":80169,"corporation":false,"usgs":false,"family":"Teel","given":"Tara","email":"","middleInitial":"L.","affiliations":[{"id":35701,"text":"CO State University, Fort Collins","active":true,"usgs":false}],"preferred":false,"id":693876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gavin, Michael C.","contributorId":191696,"corporation":false,"usgs":false,"family":"Gavin","given":"Michael","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":693877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693662,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}