{"pageNumber":"1812","pageRowStart":"45275","pageSize":"25","recordCount":184617,"records":[{"id":70034212,"text":"70034212 - 2011 - Comparison of phenolic compounds and the effects of invasive and native species in East Asia: Support for the novel weapons hypothesis","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034212","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1461,"text":"Ecological Research","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of phenolic compounds and the effects of invasive and native species in East Asia: Support for the novel weapons hypothesis","docAbstract":"One prediction of the novel weapons hypothesis (NWH) for the dominance of exotic invasive plant species is that the allelopathic effects of successful invaders will, in general, be more biochemically inhibitory to native species and microbes in invaded regions than the native plants themselves. However, no study has compared biochemical concentrations, compositions, or effects of large numbers of native species to those of large numbers of invasive species. In this context we tested the allelopathic and antimicrobial potentials of nine native plant species and nine invasive species in East Asia by comparing their broad phenolic contents and the effects of extracts made from each of the species on target plants and soil fungi. Three of the invasive species, including Eupatorium rugosum, had higher concentrations of total phenolic compounds than any of the native species, and the mean concentration of total phenolics for invasive species was 2.6 times greater than the mean for native species. Only scopoletin was novel to the invasive species, being found in all of nine invasive species, but not in the native species. More importantly, the effects of the total suites of phenolic compounds produced by invasive species differed from the effects of phenolics produced by natives. Extracts of invasive species reduced radicle growth of the three test plant species by 60-80%, but extracts of native species reduced radicle growth by only 30-50%. Extracts of invasive species reduced shoot growth of the three test species by 20-40%, but the overall effect of native species' extract was to stimulate shoot growth. The antimicrobial activity of invasive species was also significantly higher than that of native species. It should be noted that phenolics are just one component of a plant's potential allelopathic arsenal and non-phenolic compounds are likely to play a role in the total extract effect. For example, extracts of P. americana contained the lowest levels of phenolic compounds, but exhibited the strongest inhibition effect. We could not determine whether the greater inhibitory effects of the extracts from invasive species were due to novel combinations of chemicals or higher concentrations of chemicals, but our results are consistent with the predictions of the NWH. ?? 2010 The Ecological Society of Japan.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s11284-010-0762-7","issn":"09123814","usgsCitation":"Kim, Y., and Lee, E., 2011, Comparison of phenolic compounds and the effects of invasive and native species in East Asia: Support for the novel weapons hypothesis: Ecological Research, v. 26, no. 1, p. 87-94, https://doi.org/10.1007/s11284-010-0762-7.","startPage":"87","endPage":"94","numberOfPages":"8","costCenters":[],"links":[{"id":244458,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216580,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11284-010-0762-7"}],"volume":"26","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-10-14","publicationStatus":"PW","scienceBaseUri":"5059f881e4b0c8380cd4d14c","contributors":{"authors":[{"text":"Kim, Y.-O.","contributorId":47593,"corporation":false,"usgs":true,"family":"Kim","given":"Y.-O.","email":"","affiliations":[],"preferred":false,"id":444646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, E.J.","contributorId":56460,"corporation":false,"usgs":true,"family":"Lee","given":"E.J.","email":"","affiliations":[],"preferred":false,"id":444647,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034362,"text":"70034362 - 2011 - Geochemistry of environmentally sensitive trace elements in Permian coals from the Huainan coalfield, Anhui, China","interactions":[],"lastModifiedDate":"2021-04-21T20:37:54.805955","indexId":"70034362","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Geochemistry of environmentally sensitive trace elements in Permian coals from the Huainan coalfield, Anhui, China","docAbstract":"<p><span>To study the geochemical characteristics of 11 environmentally sensitive trace elements in the coals of the&nbsp;Permian Period&nbsp;from the Huainan coalfield, Anhui province, China,&nbsp;borehole&nbsp;samples of 336 coals, two partings, and four roof and floor&nbsp;mudstones&nbsp;were collected from mineable&nbsp;coal seams. Major elements and selected trace elements were determined by&nbsp;inductively coupled plasma&nbsp;optical emission&nbsp;spectrometry&nbsp;(ICP-OES),&nbsp;inductively coupled plasma mass spectrometry&nbsp;(ICP-MS), and hydride generation atomic absorption spectrometry (HAAS). The&nbsp;depositional environment, abundances, distribution, and modes of occurrence of trace elements were investigated. Results show that clay and&nbsp;carbonate minerals&nbsp;are the principal&nbsp;</span>inorganic constituents<span>&nbsp;in the coals. A lower deltaic plain, where fluvial channel systems developed successively, was the likely depositional environment of the&nbsp;Permian&nbsp;coals in the Huainan coalfield. All major elements have wider variation ranges than those of Chinese coals except for Mg and Fe. The contents of Cr, Co, Ni, and Se are higher than their averages for Chinese coals and world coals. Vertical variations of trace elements in different formations are not significant except for B and Ba. Certain roof and partings are distinctly higher in trace elements than underlying coal bench samples. The modes of occurrence of trace elements vary in different coal seams as a result of different coal-forming environments. Vanadium, Cr, and Th are associated with&nbsp;aluminosilicate&nbsp;minerals, Ba with carbonate minerals, and Cu, Zn, As, Se, and Pb mainly with&nbsp;sulfide&nbsp;minerals.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2011.08.002","issn":"01665162","usgsCitation":"Chen, J., Liu, G., Jiang, M., Chou, C.L., Li, H., Wu, B., Zheng, L., and Jiang, D., 2011, Geochemistry of environmentally sensitive trace elements in Permian coals from the Huainan coalfield, Anhui, China: International Journal of Coal Geology, v. 88, no. 1, p. 41-54, https://doi.org/10.1016/j.coal.2011.08.002.","productDescription":"14 p.","startPage":"41","endPage":"54","numberOfPages":"14","costCenters":[],"links":[{"id":244786,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216888,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coal.2011.08.002"}],"country":"China","otherGeospatial":"Huainan coalfield","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              114.873046875,\n              32.35212281198644\n            ],\n            [\n              115.42236328124999,\n              31.62532121329918\n            ],\n            [\n              118.267822265625,\n              31.793555207271424\n            ],\n            [\n              119.15771484375,\n              33.47727218776036\n            ],\n            [\n              118.23486328125,\n              34.551811369170494\n            ],\n            [\n              116.90551757812499,\n              34.94899072578227\n            ],\n            [\n              115.49926757812499,\n              34.6060845921693\n            ],\n            [\n              114.42260742187499,\n              33.706062655101206\n            ],\n            [\n              114.620361328125,\n              32.35212281198644\n            ],\n            [\n              114.873046875,\n              32.35212281198644\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"88","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a16f3e4b0c8380cd5531a","contributors":{"authors":[{"text":"Chen, J.","contributorId":104634,"corporation":false,"usgs":true,"family":"Chen","given":"J.","email":"","affiliations":[],"preferred":false,"id":445416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Gaisheng","contributorId":15158,"corporation":false,"usgs":true,"family":"Liu","given":"Gaisheng","email":"","affiliations":[],"preferred":false,"id":445409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jiang, M.","contributorId":103062,"corporation":false,"usgs":true,"family":"Jiang","given":"M.","email":"","affiliations":[],"preferred":false,"id":445415,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chou, C. L.","contributorId":32655,"corporation":false,"usgs":false,"family":"Chou","given":"C.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":445411,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, H.","contributorId":44338,"corporation":false,"usgs":true,"family":"Li","given":"H.","email":"","affiliations":[],"preferred":false,"id":445412,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wu, B.","contributorId":23362,"corporation":false,"usgs":true,"family":"Wu","given":"B.","email":"","affiliations":[],"preferred":false,"id":445410,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zheng, Lingyun","contributorId":68495,"corporation":false,"usgs":true,"family":"Zheng","given":"Lingyun","email":"","affiliations":[],"preferred":false,"id":445414,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jiang, D.","contributorId":58869,"corporation":false,"usgs":true,"family":"Jiang","given":"D.","email":"","affiliations":[],"preferred":false,"id":445413,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70034357,"text":"70034357 - 2011 - <i>Globorotalia truncatulinoides</i> (dextral) Mg/Ca as a proxy for Gulf of Mexico winter mixed-layer temperature: evidence from a sediment trap in the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2014-07-29T11:57:10","indexId":"70034357","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2673,"text":"Marine Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"<i>Globorotalia truncatulinoides</i> (dextral) Mg/Ca as a proxy for Gulf of Mexico winter mixed-layer temperature: evidence from a sediment trap in the northern Gulf of Mexico","docAbstract":"<p>Three years of weekly- to biweekly-resolved sediment-trap data show that almost 90% of the total flux of tests of the planktic foraminifer <i>Globorotalia truncatulinoides</i> to sediments in the northern Gulf of Mexico occurs in January and February. Comparison of δ<sup>18</sup>O from tests of non-encrusted <i>Gl. truncatulinoides</i> in sediment-trap samples with calculated calcification depths indicates that the non-encrusted individuals secrete their test in the winter surface-mixed layer, most likely at the bottom of the surface mixed zone. Mg/Ca-temperature estimates from non-encrusted <i>Gl. truncatulinoides</i> in sediment-trap samples are consistent with observed temperatures at the calcification depths inferred from the δ<sup>18</sup>O data. In contrast, Mg/Ca-temperature estimates from encrusted <i>Gl. truncatulinoides</i> in sediment-trap samples indicate the crust is formed in cooler (deeper) waters.</p>\n<br/>\n<p>A preliminary study in a core recovered near the sediment-trap site demonstrates that non-encrusted and encrusted forms of <i>Gl. truncatulinoides</i> in sediment samples show a similar offset in Mg/Ca values as observed in sediment-trap samples. A short (~ 100 years) Mg/Ca record from non-encrusted <i>Gl. truncatulinoides</i> indicates a warming trend that coincides with a warming trend in mean-annual sea-surface temperature recorded by Mg/Ca in <i>Globigerinoides ruber</i> (white) from the same core. These findings suggest Mg/Ca from non-encrusted <i>Gl. truncatulinoides</i> has clear potential as a proxy for past winter mixed-layer temperature.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Micropaleontology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.marmicro.2011.05.001","issn":"03778398","usgsCitation":"Spear, J.W., Poore, R.Z., and Quinn, T.M., 2011, <i>Globorotalia truncatulinoides</i> (dextral) Mg/Ca as a proxy for Gulf of Mexico winter mixed-layer temperature: evidence from a sediment trap in the northern Gulf of Mexico: Marine Micropaleontology, v. 80, no. 3-4, p. 53-61, https://doi.org/10.1016/j.marmicro.2011.05.001.","productDescription":"9 p.","startPage":"53","endPage":"61","numberOfPages":"9","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":244721,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216826,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marmicro.2011.05.001"}],"otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.86,20.71 ], [ -97.86,30.4 ], [ -81.04,30.4 ], [ -81.04,20.71 ], [ -97.86,20.71 ] ] ] } } ] }","volume":"80","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2968e4b0c8380cd5a917","contributors":{"authors":[{"text":"Spear, Jessica W. jspear@usgs.gov","contributorId":3619,"corporation":false,"usgs":true,"family":"Spear","given":"Jessica","email":"jspear@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":445393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poore, Richard Z. rpoore@usgs.gov","contributorId":345,"corporation":false,"usgs":true,"family":"Poore","given":"Richard","email":"rpoore@usgs.gov","middleInitial":"Z.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":445392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quinn, Terrence M.","contributorId":82949,"corporation":false,"usgs":false,"family":"Quinn","given":"Terrence","email":"","middleInitial":"M.","affiliations":[{"id":6732,"text":"Geological Sciences, University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":445394,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034350,"text":"70034350 - 2011 - The bioinvasion of Guam: inferring geographic origin, pace, pattern and process of an invasive lizard (Carlia) in the Pacific using multi-locus genomic data","interactions":[],"lastModifiedDate":"2014-02-25T15:08:45","indexId":"70034350","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"The bioinvasion of Guam: inferring geographic origin, pace, pattern and process of an invasive lizard (Carlia) in the Pacific using multi-locus genomic data","docAbstract":"Invasive species often have dramatic negative effects that lead to the deterioration and loss of biodiversity frequently coupled with the burden of expensive biocontrol programs and subversion of socioeconomic stability. The fauna and flora of oceanic islands are particularly susceptible to invasive species and the increase of global movements of humans and their products since WW II has caused numerous anthropogenic translocations and increased the ills of human-mediated invasions. We use a multi-locus genomic dataset to identify geographic origin, pace, pattern and historical process of an invasive scincid lizard (Carlia) that has been inadvertently introduced to Guam, the Northern Marianas, and Palau. This lizard is of major importance as its introduction is thought to have assisted in the establishment of the invasive brown treesnake (Boiga irregularis) on Guam by providing a food resource. Our findings demonstrate multiple waves of introductions that appear to be concordant with movements of Allied and Imperial Japanese forces in the Pacific during World War II.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10530-011-0014-y","issn":"13873547","usgsCitation":"Austin, C., Rittmeyer, E., Oliver, L., Andermann, J., Zug, G., Rodda, G., and Jackson, N., 2011, The bioinvasion of Guam: inferring geographic origin, pace, pattern and process of an invasive lizard (Carlia) in the Pacific using multi-locus genomic data: Biological Invasions, v. 13, no. 9, p. 1951-1967, https://doi.org/10.1007/s10530-011-0014-y.","startPage":"1951","endPage":"1967","numberOfPages":"17","costCenters":[],"links":[{"id":216738,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10530-011-0014-y"},{"id":244624,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-05-22","publicationStatus":"PW","scienceBaseUri":"505ba9eae4b08c986b3225d9","contributors":{"authors":[{"text":"Austin, C.C.","contributorId":85550,"corporation":false,"usgs":true,"family":"Austin","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":445361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rittmeyer, E.N.","contributorId":22173,"corporation":false,"usgs":true,"family":"Rittmeyer","given":"E.N.","affiliations":[],"preferred":false,"id":445359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oliver, L.A.","contributorId":87783,"corporation":false,"usgs":true,"family":"Oliver","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":445362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andermann, J.O.","contributorId":88180,"corporation":false,"usgs":true,"family":"Andermann","given":"J.O.","email":"","affiliations":[],"preferred":false,"id":445363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zug, G.R.","contributorId":72743,"corporation":false,"usgs":true,"family":"Zug","given":"G.R.","affiliations":[],"preferred":false,"id":445360,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rodda, G.H.","contributorId":103998,"corporation":false,"usgs":true,"family":"Rodda","given":"G.H.","email":"","affiliations":[],"preferred":false,"id":445364,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jackson, N.D.","contributorId":17852,"corporation":false,"usgs":true,"family":"Jackson","given":"N.D.","email":"","affiliations":[],"preferred":false,"id":445358,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70034349,"text":"70034349 - 2011 - The role of model dynamics in ensemble Kalman filter performance for chaotic systems","interactions":[],"lastModifiedDate":"2021-04-22T12:22:03.942129","indexId":"70034349","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3527,"text":"Tellus, Series A: Dynamic Meteorology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"The role of model dynamics in ensemble Kalman filter performance for chaotic systems","docAbstract":"<p><span>The ensemble Kalman filter (EnKF) is susceptible to losing track of observations, or ‘diverging’, when applied to large chaotic systems such as atmospheric and ocean models. Past studies have demonstrated the adverse impact of sampling error during the filter’s update step. We examine how system dynamics affect EnKF performance, and whether the absence of certain dynamic features in the ensemble may lead to divergence. The EnKF is applied to a simple chaotic model, and ensembles are checked against singular vectors of the tangent linear model, corresponding to short-term growth and Lyapunov vectors, corresponding to long-term growth. Results show that the ensemble strongly aligns itself with the subspace spanned by unstable Lyapunov vectors. Furthermore, the filter avoids divergence only if the full linearized long-term unstable subspace is spanned. However, short-term dynamics also become important as nonlinearity in the system increases. Non-linear movement prevents errors in the long-term stable subspace from decaying indefinitely. If these errors then undergo linear intermittent growth, a small ensemble may fail to properly represent all important modes, causing filter divergence. A combination of long and short-term growth dynamics are thus critical to EnKF performance. These findings can help in developing practical robust filters based on model dynamics.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1111/j.1600-0870.2011.00539.x","issn":"02806495","usgsCitation":"Ng, G., McLaughlin, D., Entekhabi, D., and Ahanin, A., 2011, The role of model dynamics in ensemble Kalman filter performance for chaotic systems: Tellus, Series A: Dynamic Meteorology and Oceanography, v. 63, no. 5, p. 958-977, https://doi.org/10.1111/j.1600-0870.2011.00539.x.","productDescription":"20 p.","startPage":"958","endPage":"977","costCenters":[],"links":[{"id":475225,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1600-0870.2011.00539.x","text":"Publisher Index Page"},{"id":244623,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-01-01","publicationStatus":"PW","scienceBaseUri":"505baf85e4b08c986b32486b","contributors":{"authors":[{"text":"Ng, G.-H.C.","contributorId":45929,"corporation":false,"usgs":true,"family":"Ng","given":"G.-H.C.","affiliations":[],"preferred":false,"id":445354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McLaughlin, D.","contributorId":60883,"corporation":false,"usgs":true,"family":"McLaughlin","given":"D.","email":"","affiliations":[],"preferred":false,"id":445355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Entekhabi, D.","contributorId":64062,"corporation":false,"usgs":true,"family":"Entekhabi","given":"D.","email":"","affiliations":[],"preferred":false,"id":445356,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ahanin, A.","contributorId":106344,"corporation":false,"usgs":true,"family":"Ahanin","given":"A.","email":"","affiliations":[],"preferred":false,"id":445357,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036759,"text":"70036759 - 2011 - Finite volume model for two-dimensional shallow environmental flow","interactions":[],"lastModifiedDate":"2016-03-28T09:15:30","indexId":"70036759","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2338,"text":"Journal of Hydraulic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Finite volume model for two-dimensional shallow environmental flow","docAbstract":"<p>This paper presents the development of a two-dimensional, depth integrated, unsteady, free-surface model based on the shallow water equations. The development was motivated by the desire of balancing computational efficiency and accuracy by selective and conjunctive use of different numerical techniques. The base framework of the discrete model uses Godunov methods on unstructured triangular grids, but the solution technique emphasizes the use of a high-resolution Riemann solver where needed, switching to a simpler and computationally more efficient upwind finite volume technique in the smooth regions of the flow. Explicit time marching is accomplished with strong stability preserving Runge-Kutta methods, with additional acceleration techniques for steady-state computations. A simplified mass-preserving algorithm is used to deal with wet/dry fronts. Application of the model is made to several benchmark cases that show the interplay of the diverse solution techniques.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydraulic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1061/(ASCE)HY.1943-7900.0000292","issn":"07339429","usgsCitation":"Simoes, F., 2011, Finite volume model for two-dimensional shallow environmental flow: Journal of Hydraulic Engineering, v. 137, no. 2, p. 173-182, https://doi.org/10.1061/(ASCE)HY.1943-7900.0000292.","startPage":"173","endPage":"182","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":245403,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217453,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)HY.1943-7900.0000292"}],"volume":"137","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a102be4b0c8380cd53b67","contributors":{"authors":[{"text":"Simoes, F.J.M.","contributorId":100181,"corporation":false,"usgs":true,"family":"Simoes","given":"F.J.M.","email":"","affiliations":[],"preferred":false,"id":457691,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70034220,"text":"70034220 - 2011 - Organic geochemical investigation and coal-bed methane characteristics of the Guasare coals (Paso Diablo mine, western Venezuela)","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034220","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1512,"text":"Energy Sources, Part A: Recovery, Utilization and Environmental Effects","active":true,"publicationSubtype":{"id":10}},"title":"Organic geochemical investigation and coal-bed methane characteristics of the Guasare coals (Paso Diablo mine, western Venezuela)","docAbstract":"The aim of this work was to carry out a geochemical study of channel samples collected from six coal beds in the Marcelina Formation (Zulia State, western Venezuela) and to determine experimentally the gas content of the coals from the Paso Diablo mine. Organic geochemical analyses by gas chromatography-mass spectrometry and isotopic analyses on-line in coalbed gas samples were performed. The results suggest that the Guasare coals were deposited in a continental environment under highly dysoxic and low salinity conditions. The non-detection of 18??(H)-oleanane does not preclude that the organic facies that gave rise to the coals were dominated by angiosperms. In addition, the presence of the sesquiterpenoid cadalene may indicate the subordinate contribution of gymnosperms (conifers) in the Paleocene Guasare mire. The average coalbed gas content obtained was 0.6 cm3/g. ??13C and D values indicate that thermogenic gas is prevalent in the studied coals. Copyright ?? Taylor &amp; Francis Group, LLC.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Energy Sources, Part A: Recovery, Utilization and Environmental Effects","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1080/15567030903330728","issn":"15567036","usgsCitation":"Quintero, K., Martinez, M., Hackley, P., Marquez, G., Garban, G., Esteves, I., and Escobar, M., 2011, Organic geochemical investigation and coal-bed methane characteristics of the Guasare coals (Paso Diablo mine, western Venezuela): Energy Sources, Part A: Recovery, Utilization and Environmental Effects, v. 33, no. 10, p. 959-971, https://doi.org/10.1080/15567030903330728.","startPage":"959","endPage":"971","numberOfPages":"13","costCenters":[],"links":[{"id":216666,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/15567030903330728"},{"id":244551,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6fb3e4b0c8380cd75bef","contributors":{"authors":[{"text":"Quintero, K.","contributorId":25386,"corporation":false,"usgs":true,"family":"Quintero","given":"K.","email":"","affiliations":[],"preferred":false,"id":444682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martinez, M.","contributorId":49910,"corporation":false,"usgs":true,"family":"Martinez","given":"M.","affiliations":[],"preferred":false,"id":444684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hackley, P. 0000-0002-5957-2551","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":15852,"corporation":false,"usgs":true,"family":"Hackley","given":"P.","affiliations":[],"preferred":false,"id":444681,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marquez, G.","contributorId":8308,"corporation":false,"usgs":true,"family":"Marquez","given":"G.","email":"","affiliations":[],"preferred":false,"id":444680,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garban, G.","contributorId":80115,"corporation":false,"usgs":true,"family":"Garban","given":"G.","email":"","affiliations":[],"preferred":false,"id":444686,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Esteves, I.","contributorId":44384,"corporation":false,"usgs":true,"family":"Esteves","given":"I.","affiliations":[],"preferred":false,"id":444683,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Escobar, M.","contributorId":58120,"corporation":false,"usgs":true,"family":"Escobar","given":"M.","email":"","affiliations":[],"preferred":false,"id":444685,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70034342,"text":"70034342 - 2011 - Groupers on the edge: Shelf edge spawning habitat in and around marine reserves of the northeastern Gulf of Mexico","interactions":[],"lastModifiedDate":"2021-04-21T21:17:00.341003","indexId":"70034342","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3191,"text":"Professional Geographer","active":true,"publicationSubtype":{"id":10}},"title":"Groupers on the edge: Shelf edge spawning habitat in and around marine reserves of the northeastern Gulf of Mexico","docAbstract":"<p><span>The northeastern Gulf of Mexico contains some of the most diverse and productive marine habitat in the United States. Much of this habitat, located on the shelf edge in depths of 50 to 120 m, supports spawning for many economically important species, including groupers. Here, we couple acoustic surveys with georeferenced videography to describe the primary spatial and geologic features of spawning aggregation sites for four economically important species: gag (</span><i>Mycteroperca microlepis</i><span>), scamp (</span><i>M. phenax</i><span>), red grouper (</span><i>Epinephelus morio</i><span>), and red snapper (</span><i>Lutjanus campechanus</i><span>), with notes on fish distribution and abundance and spawning activities. We provide information on movement patterns of reef fish determined using acoustic telemetry. Finally, we discuss the possible coupling of geomorphology with hydrographic features to influence the overall productivity of the region and the importance of spatial fishery management in sustaining that productivity.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00330124.2011.585076","usgsCitation":"Coleman, F.C., Scanlon, K.M., and Koenig, C., 2011, Groupers on the edge: Shelf edge spawning habitat in and around marine reserves of the northeastern Gulf of Mexico: Professional Geographer, v. 63, no. 4, p. 456-474, https://doi.org/10.1080/00330124.2011.585076.","productDescription":"19 p.","startPage":"456","endPage":"474","ipdsId":"IP-018086","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":244498,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Northeastern Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.49560546875,\n              29.47307903155816\n            ],\n            [\n              -85.5560302734375,\n              27.853647316127383\n            ],\n            [\n              -83.353271484375,\n              27.921620449508467\n            ],\n            [\n              -83.07861328125,\n              28.62310355452992\n            ],\n            [\n              -84.254150390625,\n              29.54000879252545\n            ],\n            [\n              -85.49560546875,\n              29.47307903155816\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"63","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2ddae4b0c8380cd5c0aa","contributors":{"authors":[{"text":"Coleman, Felicia C.","contributorId":195943,"corporation":false,"usgs":false,"family":"Coleman","given":"Felicia","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":445323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scanlon, Kathryn M.","contributorId":6816,"corporation":false,"usgs":true,"family":"Scanlon","given":"Kathryn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":445322,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koenig, Christopher C.","contributorId":32099,"corporation":false,"usgs":true,"family":"Koenig","given":"Christopher C.","affiliations":[],"preferred":false,"id":445321,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034340,"text":"70034340 - 2011 - Native and exotic plants of fragments of sagebrush steppe produced by geomorphic processes versus land use","interactions":[],"lastModifiedDate":"2021-04-23T12:26:41.741319","indexId":"70034340","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3086,"text":"Plant Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Native and exotic plants of fragments of sagebrush steppe produced by geomorphic processes versus land use","docAbstract":"<p><span>Habitat fragmentation and invasion by exotic species are regarded as major threats to the biodiversity of many ecosystems. We surveyed the plant communities of two types of remnant sagebrush-steppe fragments from nearby areas on the Snake River Plain of southeastern Idaho, USA. One type resulted from land use (conversion to dryland agriculture; hereafter AG Islands) and the other from geomorphic processes (Holocene volcanism; hereafter kipukas). We assessed two predictions for the variation in native plant species richness of these fragments, using structural equation models (SEM). First, we predicted that the species richness of native plants would follow the MacArthur–Wilson (M–W) hypothesis of island biogeography, as often is expected for the communities of habitat fragments. Second, we predicted a negative relationship between native and exotic plants, as would be expected if exotic plants are decreasing the diversity of native plants. Finally, we assessed whether exotic species were more strongly associated with the fragments embedded in the agricultural landscape, as would be expected if agriculture had facilitated the introduction and naturalization of non-native species, and whether the communities of the two types of fragments were distinct. Species richness of native plants was not strongly correlated with M–W characteristics for either the AG Islands or the **kipukas. The AG Islands had more species and higher cover of exotics than the kipukas, and exotic plants were good predictors of native plant species richness. Our results support the hypothesis that proximity to agriculture can increase the diversity and abundance of exotic plants in native habitat. In combination with other information, the results also suggest that agriculture and exotic species have caused loss of native diversity and reorganization of the sagebrush-steppe plant community.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11258-011-9930-2","issn":"13850237","usgsCitation":"Huntly, N., Bangert, R., and Hanser, S., 2011, Native and exotic plants of fragments of sagebrush steppe produced by geomorphic processes versus land use: Plant Ecology, v. 212, no. 9, p. 1549-1561, https://doi.org/10.1007/s11258-011-9930-2.","productDescription":"13 p.","startPage":"1549","endPage":"1561","costCenters":[],"links":[{"id":244496,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Snake River Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.02636718749999,\n              44.512176171071054\n            ],\n            [\n              -117.0703125,\n              43.46886761482925\n            ],\n            [\n              -116.54296874999999,\n              42.98857645832184\n            ],\n            [\n              -115.224609375,\n              42.52069952914966\n            ],\n            [\n              -113.6865234375,\n              42.47209690919285\n            ],\n            [\n              -112.236328125,\n              42.79540065303723\n            ],\n            [\n              -111.22558593749999,\n              43.30919109985686\n            ],\n            [\n              -110.9619140625,\n              44.29240108529005\n            ],\n            [\n              -112.763671875,\n              44.32384807250689\n            ],\n            [\n              -113.5986328125,\n              43.8186748554532\n            ],\n            [\n              -114.67529296874999,\n              43.18114705939968\n            ],\n            [\n              -115.8837890625,\n              43.70759350405294\n            ],\n            [\n              -117.02636718749999,\n              44.512176171071054\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"212","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-05-12","publicationStatus":"PW","scienceBaseUri":"505a62bee4b0c8380cd720aa","contributors":{"authors":[{"text":"Huntly, N.","contributorId":39611,"corporation":false,"usgs":true,"family":"Huntly","given":"N.","affiliations":[],"preferred":false,"id":445319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bangert, R.","contributorId":7938,"corporation":false,"usgs":true,"family":"Bangert","given":"R.","email":"","affiliations":[],"preferred":false,"id":445317,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanser, S.E.","contributorId":13823,"corporation":false,"usgs":true,"family":"Hanser","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":445318,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034221,"text":"70034221 - 2011 - Analysis of passive surface-wave noise in surface microseismic data and its implications","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034221","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3317,"text":"SEG Technical Program Expanded Abstracts","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of passive surface-wave noise in surface microseismic data and its implications","docAbstract":"Tight gas reservoirs are projected to be a major portion of future energy resources. Because of their low permeability, hydraulic fracturing of these reservoirs is required to improve the permeability and reservoir productivity. Passive seismic monitoring is one of the few tools that can be used to characterize the changes in the reservoir due to hydraulic fracturing. Although the majority of the studies monitoring hydraulic fracturing exploit down hole microseismic data, surface microseismic monitoring is receiving increased attention because it is potentially much less expensive to acquire. Due to a broader receiver aperture and spatial coverage, surface microseismic data may be more advantageous than down hole microseismic data. The effectiveness of this monitoring technique, however, is strongly dependent on the signal-to-noise ratio of the data. Cultural and ambient noise can mask parts of the waveform that carry information about the subsurface, thereby decreasing the effectiveness of surface microseismic analysis in identifying and locating the microseismic events. Hence, time and spatially varying suppression of the surface-wave noise ground roll is a critical step in surface microseismic monitoring. Here, we study a surface passive dataset that was acquired over a Barnett Shale Formation reservoir during two weeks of hydraulic fracturing, in order to characterize and suppress the surface noise in this data. We apply techniques to identify the characteristics of the passive ground roll. Exploiting those characteristics, we can apply effective noise suppression techniques to the passive data. ?? 2011 Society of Exploration Geophysicists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"SEG Technical Program Expanded Abstracts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1190/1.3627485","issn":"10523812","usgsCitation":"Forghani-Arani, F., Willis, M., Haines, S., Batzle, M., and Davidson, M., 2011, Analysis of passive surface-wave noise in surface microseismic data and its implications: SEG Technical Program Expanded Abstracts, v. 30, no. 1, p. 1493-1498, https://doi.org/10.1190/1.3627485.","startPage":"1493","endPage":"1498","numberOfPages":"6","costCenters":[],"links":[{"id":216695,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/1.3627485"},{"id":244581,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-05-25","publicationStatus":"PW","scienceBaseUri":"5059eb25e4b0c8380cd48c55","contributors":{"authors":[{"text":"Forghani-Arani, F.","contributorId":76969,"corporation":false,"usgs":true,"family":"Forghani-Arani","given":"F.","affiliations":[],"preferred":false,"id":444689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willis, M.","contributorId":82910,"corporation":false,"usgs":true,"family":"Willis","given":"M.","email":"","affiliations":[],"preferred":false,"id":444690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haines, S. 0000-0003-2611-8165","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":13052,"corporation":false,"usgs":true,"family":"Haines","given":"S.","affiliations":[],"preferred":false,"id":444687,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Batzle, M.","contributorId":107527,"corporation":false,"usgs":true,"family":"Batzle","given":"M.","email":"","affiliations":[],"preferred":false,"id":444691,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davidson, M.","contributorId":58868,"corporation":false,"usgs":true,"family":"Davidson","given":"M.","email":"","affiliations":[],"preferred":false,"id":444688,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034339,"text":"70034339 - 2011 - Where the wild things are: Predicting hotspots of seabird aggregations in the California Current System","interactions":[],"lastModifiedDate":"2021-04-22T15:49:26.236168","indexId":"70034339","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Where the wild things are: Predicting hotspots of seabird aggregations in the California Current System","docAbstract":"<p><span>Marine Protected Areas (MPAs) provide an important tool for conservation of marine ecosystems. To be most effective, these areas should be strategically located in a manner that supports ecosystem function. To inform marine spatial planning and support strategic establishment of MPAs within the California Current System, we identified areas predicted to support multispecies aggregations of seabirds (“hotspots”). We developed habitat‐association models for 16 species using information from at‐sea observations collected over an 11‐year period (1997–2008), bathymetric data, and remotely sensed oceanographic data for an area from north of Vancouver Island, Canada, to the USA/Mexico border and seaward 600 km from the coast. This approach enabled us to predict distribution and abundance of seabirds even in areas of few or no surveys. We developed single‐species predictive models using a machine‐learning algorithm: bagged decision trees. Single‐species predictions were then combined to identify potential hotspots of seabird aggregation, using three criteria: (1) overall abundance among species, (2) importance of specific areas (“core areas”) to individual species, and (3) predicted persistence of hotspots across years. Model predictions were applied to the entire California Current for four seasons (represented by February, May, July, and October) in each of 11 years. Overall, bathymetric variables were often important predictive variables, whereas oceanographic variables derived from remotely sensed data were generally less important. Predicted hotspots often aligned with currently protected areas (e.g., National Marine Sanctuaries), but we also identified potential hotspots in Northern California/Southern Oregon (from Cape Mendocino to Heceta Bank), Southern California (adjacent to the Channel Islands), and adjacent to Vancouver Island, British Columbia, that are not currently included in protected areas. Prioritization and identification of multispecies hotspots will depend on which group of species is of highest management priority. Modeling hotspots at a broad spatial scale can contribute to MPA site selection, particularly if complemented by fine‐scale information for focal areas.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/10-1460.1","issn":"10510761","usgsCitation":"Nur, N., Jahncke, J., Herzog, M., Howar, J., Hyrenbach, K., Zamon, J., Ainley, D., Wiens, J.A., Morgan, K., Balance, L., and Stralberg, D., 2011, Where the wild things are: Predicting hotspots of seabird aggregations in the California Current System: Ecological Applications, v. 21, no. 6, p. 2241-2257, https://doi.org/10.1890/10-1460.1.","productDescription":"17 p.","startPage":"2241","endPage":"2257","costCenters":[],"links":[{"id":244467,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216587,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/10-1460.1"}],"country":"United States","state":"California","otherGeospatial":"California Current system","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -131.1328125,\n              46.255846818480315\n            ],\n            [\n              -147.3046875,\n              46.195042108660154\n            ],\n            [\n              -147.48046875,\n              26.667095801104814\n            ],\n            [\n              -115.400390625,\n              27.916766641249065\n            ],\n            [\n              -118.125,\n              32.84267363195431\n            ],\n            [\n              -121.46484375,\n              34.813803317113155\n            ],\n            [\n              -124.892578125,\n              39.30029918615029\n            ],\n            [\n              -125.068359375,\n              42.293564192170095\n            ],\n            [\n              -124.18945312500001,\n              46.01222384063236\n            ],\n            [\n              -131.1328125,\n              46.255846818480315\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bd05fe4b08c986b32edff","contributors":{"authors":[{"text":"Nur, N.","contributorId":13576,"corporation":false,"usgs":true,"family":"Nur","given":"N.","email":"","affiliations":[],"preferred":false,"id":445307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jahncke, J.","contributorId":74192,"corporation":false,"usgs":true,"family":"Jahncke","given":"J.","affiliations":[],"preferred":false,"id":445314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herzog, M.P.","contributorId":37865,"corporation":false,"usgs":true,"family":"Herzog","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":445310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howar, J.","contributorId":66940,"corporation":false,"usgs":true,"family":"Howar","given":"J.","email":"","affiliations":[],"preferred":false,"id":445313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hyrenbach, K.D.","contributorId":87394,"corporation":false,"usgs":true,"family":"Hyrenbach","given":"K.D.","affiliations":[],"preferred":false,"id":445316,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zamon, J.E.","contributorId":8697,"corporation":false,"usgs":true,"family":"Zamon","given":"J.E.","affiliations":[],"preferred":false,"id":445306,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ainley, D. G.","contributorId":77870,"corporation":false,"usgs":false,"family":"Ainley","given":"D. G.","affiliations":[],"preferred":false,"id":445315,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wiens, J. A.","contributorId":43453,"corporation":false,"usgs":false,"family":"Wiens","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":445311,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morgan, K.","contributorId":18556,"corporation":false,"usgs":true,"family":"Morgan","given":"K.","affiliations":[],"preferred":false,"id":445308,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Balance, L.T.","contributorId":55239,"corporation":false,"usgs":true,"family":"Balance","given":"L.T.","email":"","affiliations":[],"preferred":false,"id":445312,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stralberg, D.","contributorId":19807,"corporation":false,"usgs":true,"family":"Stralberg","given":"D.","affiliations":[],"preferred":false,"id":445309,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70034337,"text":"70034337 - 2011 - Comparing laser-based open- and closed-path gas analyzers to measure methane fluxes using the eddy covariance method","interactions":[],"lastModifiedDate":"2018-05-25T13:10:53","indexId":"70034337","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Comparing laser-based open- and closed-path gas analyzers to measure methane fluxes using the eddy covariance method","docAbstract":"<p><span>Closed- and open-path methane gas analyzers are used in eddy covariance systems to compare three potential methane emitting ecosystems in the Sacramento-San Joaquin Delta (CA, USA): a rice field, a peatland pasture and a restored wetland. The study points out similarities and differences of the systems in field experiments and data processing. The closed-path system, despite a less intrusive placement with the sonic anemometer, required more care and power. In contrast, the open-path system appears more versatile for a remote and unattended experimental site. Overall, the two systems have comparable minimum detectable limits, but synchronization between wind speed and methane data, air density corrections and spectral losses have different impacts on the computed flux covariances. For the closed-path analyzer, air density effects are less important, but the synchronization and spectral losses may represent a problem when fluxes are small or when an undersized pump is used. For the open-path analyzer air density corrections are greater, due to spectroscopy effects and the classic Webb–Pearman–Leuning correction. Comparison between the 30-min fluxes reveals good agreement in terms of magnitudes between open-path and closed-path flux systems. However, the scatter is large, as consequence of the intensive data processing which both systems require.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2011.05.014","issn":"01681923","usgsCitation":"Detto, M., Verfaillie, J., Anderson, F., Xu, L., and Baldocchi, D., 2011, Comparing laser-based open- and closed-path gas analyzers to measure methane fluxes using the eddy covariance method: Agricultural and Forest Meteorology, v. 151, no. 10, p. 1312-1324, https://doi.org/10.1016/j.agrformet.2011.05.014.","productDescription":"13 p.","startPage":"1312","endPage":"1324","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":244404,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216527,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.agrformet.2011.05.014"}],"volume":"151","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f835e4b0c8380cd4cf42","contributors":{"authors":[{"text":"Detto, Matteo","contributorId":167491,"corporation":false,"usgs":false,"family":"Detto","given":"Matteo","email":"","affiliations":[{"id":12671,"text":"Smithsonian Tropical Research Institute","active":true,"usgs":false}],"preferred":false,"id":445302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verfaillie, Joseph","contributorId":167496,"corporation":false,"usgs":false,"family":"Verfaillie","given":"Joseph","affiliations":[{"id":24725,"text":"Ecosystem Science Division, Department of Environmental Science","active":true,"usgs":false}],"preferred":false,"id":445298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Frank 0000-0002-1418-4678 fanders@usgs.gov","orcid":"https://orcid.org/0000-0002-1418-4678","contributorId":167488,"corporation":false,"usgs":true,"family":"Anderson","given":"Frank","email":"fanders@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":445299,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xu, Liukang","contributorId":205221,"corporation":false,"usgs":false,"family":"Xu","given":"Liukang","email":"","affiliations":[],"preferred":false,"id":445301,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baldocchi, Dennis 0000-0003-3496-4919","orcid":"https://orcid.org/0000-0003-3496-4919","contributorId":167495,"corporation":false,"usgs":false,"family":"Baldocchi","given":"Dennis","affiliations":[{"id":24725,"text":"Ecosystem Science Division, Department of Environmental Science","active":true,"usgs":false}],"preferred":false,"id":445300,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034336,"text":"70034336 - 2011 - Population viability analysis to identify management priorities for reintroduced elk in the Cumberland Mountains, Tennessee","interactions":[],"lastModifiedDate":"2016-04-19T11:58:34","indexId":"70034336","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Population viability analysis to identify management priorities for reintroduced elk in the Cumberland Mountains, Tennessee","docAbstract":"<p>We used an individual-based population model to perform a viability analysis to simulate population growth (&lambda;) of 167 elk (<i>Cervus elaphus manitobensis</i>; 71 male and 96 female) released in the Cumberland Mountains, Tennessee, to estimate sustainability (i.e., &lambda;&thinsp;&gt;&thinsp;1.0) and identify the most appropriate options for managing elk restoration. We transported elk from Elk Island National Park, Alberta, Canada, and from Land Between the Lakes, Kentucky, and reintroduced them beginning in December 2000 and ending in February 2003. We estimated annual survival rates for 156 radio-collared elk from December 2000 until November 2004. We used data from a nearby elk herd in Great Smoky Mountains National Park to simulate pessimistic and optimistic recruitment and performed population viability analyses to evaluate sustainability over a 25-year period. Annual survival averaged 0.799 (Total SE&thinsp;=&thinsp;0.023). The primary identifiable sources of mortality were poaching, disease from meningeal worm (<i>Parelaphostrongylus tenuis</i>), and accidents (environmental causes and unintentional harvest). Population growth given pessimistic recruitment rates averaged 0.895 over 25 years (0.955 in year 1 to 0.880 in year 25); population growth was not sustainable in 100% of the runs. With the most optimistic estimates of recruitment, mean &lambda; increased to 0.967 (1.038 in year 1 to 0.956 in year 25) with 99.6% of the runs failing to be sustainable. We suggest that further translocation efforts to increase herd size will be ineffective unless survival rates are increased in the Cumberland Mountains.</p>","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.226","issn":"0022541X","usgsCitation":"Kindall, J., Muller, L., Clark, J.D., Lupardus, J., and Murrow, J., 2011, Population viability analysis to identify management priorities for reintroduced elk in the Cumberland Mountains, Tennessee: Journal of Wildlife Management, v. 75, no. 8, p. 1745-1752, https://doi.org/10.1002/jwmg.226.","productDescription":"8 p.","startPage":"1745","endPage":"1752","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":244403,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216526,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.226"}],"country":"United States","state":"Tennessee","otherGeospatial":"Cumberland Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.4464111328125,\n              36.600094165941144\n            ],\n            [\n              -84.53155517578124,\n              36.53391577198655\n            ],\n            [\n              -84.55352783203125,\n              36.461054075054314\n            ],\n            [\n              -84.5947265625,\n              36.37043347989971\n            ],\n            [\n              -84.63592529296875,\n              36.30627216957992\n            ],\n            [\n              -84.6771240234375,\n              36.219902972702606\n            ],\n            [\n              -84.67987060546874,\n              36.18887535558557\n            ],\n            [\n              -84.65789794921875,\n              36.13787471840729\n            ],\n            [\n              -84.60296630859375,\n              36.10237644873644\n            ],\n            [\n              -84.55078125,\n              36.05798104702501\n            ],\n            [\n              -84.375,\n              36.033552893400376\n            ],\n            [\n              -84.2926025390625,\n              36.029110596631874\n            ],\n            [\n              -84.2486572265625,\n              36.060201412392914\n            ],\n            [\n              -84.19921875,\n              36.113471382052175\n            ],\n            [\n              -84.15252685546875,\n              36.17779108329074\n            ],\n            [\n              -84.144287109375,\n              36.23762751669998\n            ],\n            [\n              -84.14703369140625,\n              36.29077703961915\n            ],\n            [\n              -84.18548583984375,\n              36.33504067209607\n            ],\n            [\n              -84.232177734375,\n              36.39475669987383\n            ],\n            [\n              -84.28985595703124,\n              36.4477991295848\n            ],\n            [\n              -84.13604736328125,\n              36.53170884914869\n            ],\n            [\n              -84.07012939453125,\n              36.58906837139909\n            ],\n            [\n              -84.4464111328125,\n              36.600094165941144\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","issue":"8","noUsgsAuthors":false,"publicationDate":"2011-10-11","publicationStatus":"PW","scienceBaseUri":"505a7dbfe4b0c8380cd7a127","contributors":{"authors":[{"text":"Kindall, J.L.","contributorId":47200,"corporation":false,"usgs":true,"family":"Kindall","given":"J.L.","affiliations":[],"preferred":false,"id":445294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muller, L.I.","contributorId":11448,"corporation":false,"usgs":true,"family":"Muller","given":"L.I.","email":"","affiliations":[],"preferred":false,"id":445293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clark, J. D.","contributorId":85911,"corporation":false,"usgs":true,"family":"Clark","given":"J.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":445296,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lupardus, J.L.","contributorId":85796,"corporation":false,"usgs":true,"family":"Lupardus","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":445295,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murrow, J.L.","contributorId":101490,"corporation":false,"usgs":true,"family":"Murrow","given":"J.L.","affiliations":[],"preferred":false,"id":445297,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034335,"text":"70034335 - 2011 - A comparison of methods to assess long-term changes in Sonoran Desert vegetation","interactions":[],"lastModifiedDate":"2021-10-27T15:34:39.498196","indexId":"70034335","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of methods to assess long-term changes in Sonoran Desert vegetation","docAbstract":"Knowledge about the condition of vegetation cover and composition is critical for assessing the structure and function of ecosystems. To effectively quantify the impacts of a rapidly changing environment, methods to track long-term trends of vegetation must be precise, repeatable, and time- and cost-efficient. Measuring vegetation cover and composition in arid and semiarid regions is especially challenging because vegetation is typically sparse, discontinuous, and individual plants are widely spaced. To meet the goal of long-term vegetation monitoring in the Sonoran Desert and other arid and semiarid regions, we determined how estimates of plant species, total vegetation, and soil cover obtained using a widely-implemented monitoring protocol compared to a more time- and resource-intensive plant census. We also assessed how well this protocol tracked changes in cover through 82 years compared to the plant census. Results from the monitoring protocol were comparable to those from the plant census, despite low and variable plant species cover. Importantly, this monitoring protocol could be used as a rapid, \"off-the shelf\" tool for assessing land degradation (or desertification) in arid and semiarid ecosystems.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jaridenv.2011.04.032","issn":"01401963","usgsCitation":"Munson, S., Webb, R.H., and Hubbard, J., 2011, A comparison of methods to assess long-term changes in Sonoran Desert vegetation: Journal of Arid Environments, v. 75, no. 11, p. 1228-1231, https://doi.org/10.1016/j.jaridenv.2011.04.032.","productDescription":"4 p.","startPage":"1228","endPage":"1231","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":244882,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Sonoran Desert, Tumamoc Hill, Tucson Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.7412109375,\n              35.06597313798418\n            ],\n            [\n              -114.70825195312501,\n              34.77771580360469\n            ],\n            [\n              -114.466552734375,\n              34.45221847282654\n            ],\n            [\n              -114.224853515625,\n              34.27083595165\n            ],\n            [\n              -114.576416015625,\n              34.098159345215535\n            ],\n            [\n              -114.620361328125,\n              33.86129311351553\n            ],\n            [\n              -114.620361328125,\n              33.62376800118811\n            ],\n            [\n              -114.82910156249999,\n              33.4039312002347\n            ],\n            [\n              -114.76318359375,\n              33.0178760185549\n            ],\n            [\n              -114.620361328125,\n              32.9257074887604\n            ],\n            [\n              -114.78515624999999,\n              32.8334428466495\n            ],\n            [\n              -114.9169921875,\n              32.55607364492026\n            ],\n            [\n              -111.1376953125,\n              31.3348710339506\n            ],\n            [\n              -109.039306640625,\n              31.344254455668054\n            ],\n            [\n              -109.05029296875,\n              35.24561909420681\n            ],\n            [\n              -114.7412109375,\n              35.06597313798418\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e36de4b0c8380cd45fed","contributors":{"authors":[{"text":"Munson, S.M.","contributorId":33554,"corporation":false,"usgs":true,"family":"Munson","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":445292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, R. H.","contributorId":13648,"corporation":false,"usgs":true,"family":"Webb","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":445290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hubbard, J.A.","contributorId":17853,"corporation":false,"usgs":true,"family":"Hubbard","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":445291,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034332,"text":"70034332 - 2011 - Epistemic uncertainty in California-wide synthetic seismicity simulations","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034332","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Epistemic uncertainty in California-wide synthetic seismicity simulations","docAbstract":"The generation of seismicity catalogs on synthetic fault networks holds the promise of providing key inputs into probabilistic seismic-hazard analysis, for example, the coefficient of variation, mean recurrence time as a function of magnitude, the probability of fault-to-fault ruptures, and conditional probabilities for foreshock-mainshock triggering. I employ a seismicity simulator that includes the following ingredients: static stress transfer, viscoelastic relaxation of the lower crust and mantle, and vertical stratification of elastic and viscoelastic material properties. A cascade mechanism combined with a simple Coulomb failure criterion is used to determine the initiation, propagation, and termination of synthetic ruptures. It is employed on a 3D fault network provided by Steve Ward (unpublished data, 2009) for the Southern California Earthquake Center (SCEC) Earthquake Simulators Group. This all-California fault network, initially consisting of 8000 patches, each of ~12 square kilometers in size, has been rediscretized into ~100;000 patches, each of ~1 square kilometer in size, in order to simulate the evolution of California seismicity and crustal stress at magnitude M ~ 5-8. Resulting synthetic seismicity catalogs spanning 30,000 yr and about one-half million events are evaluated with magnitude-frequency and magnitude-area statistics. For a priori choices of fault-slip rates and mean stress drops, I explore the sensitivity of various constructs on input parameters, particularly mantle viscosity. Slip maps obtained for the southern San Andreas fault show that the ability of segment boundaries to inhibit slip across the boundaries (e.g., to prevent multisegment ruptures) is systematically affected by mantle viscosity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120100303","issn":"00371106","usgsCitation":"Pollitz, F., 2011, Epistemic uncertainty in California-wide synthetic seismicity simulations: Bulletin of the Seismological Society of America, v. 101, no. 5, p. 2481-2498, https://doi.org/10.1785/0120100303.","startPage":"2481","endPage":"2498","numberOfPages":"18","costCenters":[],"links":[{"id":216917,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120100303"},{"id":244818,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-09-26","publicationStatus":"PW","scienceBaseUri":"505a0a16e4b0c8380cd521ca","contributors":{"authors":[{"text":"Pollitz, F. F.","contributorId":108280,"corporation":false,"usgs":true,"family":"Pollitz","given":"F. F.","affiliations":[],"preferred":false,"id":445270,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70034331,"text":"70034331 - 2011 - Evaluation of influence of sediment on the sensitivity of a unionid mussel (Lampsilis siliquoidea) to ammonia in 28-day water exposures","interactions":[],"lastModifiedDate":"2018-11-02T14:47:54","indexId":"70034331","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of influence of sediment on the sensitivity of a unionid mussel (Lampsilis siliquoidea) to ammonia in 28-day water exposures","docAbstract":"A draft update of the U.S. Environmental Protection Agency ambient water quality criteria (AWQC) for ammonia substantially lowers the ammonia AWQC, primarily due to the inclusion of toxicity data for freshwater mussels. However, most of the mussel data used in the updated AWQC were generated from water-only exposures and limited information is available on the potential influence of the presence of a substrate on the response of mussels in laboratory toxicity tests. Our recent study demonstrated that the acute sensitivity of mussels to ammonia was not influenced by the presence of substrate in 4-d laboratory toxicity tests. The objective of the current study was to determine the sensitivity of mussels to ammonia in chronic 28-d water exposures with the sediment present (sediment treatment) or absent (water-only treatment). The chronic toxicity test was conducted starting with two-month-old juvenile mussels (fatmucket, Lampsilis siliquoidea) in a flow-through diluter system, which maintained consistent pH (???8.3) and six concentrations of total ammonia nitrogen (N) in overlying water and in sediment pore water. The chronic value (ChV, geometric mean of the no-observed-effect concentration and the lowest-observed-effect concentration) was 0.36mgN/L for survival or biomass in the water-only treatment, and was 0.66mgN/L for survival and 0.20mgN/L for biomass in the sediment treatment. The 20% effect concentration (EC20) for survival was 0.63mgN/L in the water-only treatment and was 0.86mgN/L in the sediment treatment (with overlapping 95% confidence intervals; no EC20 for biomass was estimated because the data did not meet the conditions for any logistic regression analysis). The similar ChVs or EC20s between the water-only treatment and the sediment treatment indicate that the presence of sediment did not substantially influence the sensitivity of juvenile mussels to ammonia in the 28-d chronic laboratory water exposures. ?? 2011 SETAC.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/etc.616","issn":"07307268","usgsCitation":"Wang, N., Consbrock, R., Ingersoll, C., and Barnhart, M., 2011, Evaluation of influence of sediment on the sensitivity of a unionid mussel (Lampsilis siliquoidea) to ammonia in 28-day water exposures: Environmental Toxicology and Chemistry, v. 30, no. 10, p. 2270-2276, https://doi.org/10.1002/etc.616.","productDescription":"7 p.","startPage":"2270","endPage":"2276","numberOfPages":"7","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":244817,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216916,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.616"}],"volume":"30","issue":"10","noUsgsAuthors":false,"publicationDate":"2011-10-01","publicationStatus":"PW","scienceBaseUri":"505a0c8ae4b0c8380cd52bb9","contributors":{"authors":[{"text":"Wang, N.","contributorId":81615,"corporation":false,"usgs":true,"family":"Wang","given":"N.","email":"","affiliations":[],"preferred":false,"id":445267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Consbrock, R.A.","contributorId":81721,"corporation":false,"usgs":true,"family":"Consbrock","given":"R.A.","affiliations":[],"preferred":false,"id":445268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ingersoll, C.G. 0000-0003-4531-5949","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":56338,"corporation":false,"usgs":true,"family":"Ingersoll","given":"C.G.","affiliations":[],"preferred":false,"id":445266,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnhart, M.C.","contributorId":107410,"corporation":false,"usgs":true,"family":"Barnhart","given":"M.C.","affiliations":[],"preferred":false,"id":445269,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034229,"text":"70034229 - 2011 - Evidence for predatory control of the invasive round goby","interactions":[],"lastModifiedDate":"2012-12-27T14:10:03","indexId":"70034229","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for predatory control of the invasive round goby","docAbstract":"We coupled bioenergetics modeling with bottom trawl survey results to evaluate the capacity of piscivorous fish in eastern Lake Erie to exert predatory control of the invading population of round goby <i>Neogobius melanostomus</i>. In the offshore (>20 m deep) waters of eastern Lake Erie, burbot Lota lota is a native top predator, feeding on a suite of prey fishes. The round goby invaded eastern Lake Erie during the late 1990s, and round goby population size increased dramatically during 1999–2004. According to annual bottom trawl survey results, round goby abundance in offshore waters peaked in 2004, but then declined during 2004–2008. Coincidentally, round goby became an important component of burbot diet beginning in 2003. Using bottom trawling and gill netting, we estimated adult burbot abundance and age structure in eastern Lake Erie during 2007. Diet composition and energy density of eastern Lake Erie burbot were also determined during 2007. This information, along with estimates of burbot growth, burbot mortality, burbot water temperature regime, and energy densities of prey fish from the literature, were incorporated into a bioenergetics model application to estimate annual consumption of round goby by the adult burbot population. Results indicated that the adult burbot population in eastern Lake Erie annually consumed 1,361 metric tons of round goby. Based on the results of bottom trawling, we estimated the biomass of yearling and older round goby in offshore waters eastern Lake Erie during 2007–2008 to be 2,232 metric tons. Thus, the adult burbot population was feeding on round goby at an annual rate equal to 61% of the estimated round goby standing stock. We concluded that the burbot population had high potential to exert predatory control on round goby in offshore waters of eastern Lake Erie.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10530-010-9884-7","issn":"13873547","usgsCitation":"Madenjian, C., Stapanian, M., Witzel, L., Einhouse, D., Pothoven, S., and Whitford, H., 2011, Evidence for predatory control of the invasive round goby: Biological Invasions, v. 13, no. 4, p. 987-1002, https://doi.org/10.1007/s10530-010-9884-7.","productDescription":"16 p.","startPage":"987","endPage":"1002","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":216789,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10530-010-9884-7"},{"id":244681,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Erie","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.4797,41.3971 ], [ -83.4797,43.2635 ], [ -78.8539,43.2635 ], [ -78.8539,41.3971 ], [ -83.4797,41.3971 ] ] ] } } ] }","volume":"13","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-10-26","publicationStatus":"PW","scienceBaseUri":"505a0d4ee4b0c8380cd52f30","contributors":{"authors":[{"text":"Madenjian, C.P.","contributorId":64175,"corporation":false,"usgs":true,"family":"Madenjian","given":"C.P.","affiliations":[],"preferred":false,"id":444783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stapanian, M.A.","contributorId":65437,"corporation":false,"usgs":true,"family":"Stapanian","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":444784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Witzel, L.D.","contributorId":70324,"corporation":false,"usgs":true,"family":"Witzel","given":"L.D.","email":"","affiliations":[],"preferred":false,"id":444786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Einhouse, D.W.","contributorId":27813,"corporation":false,"usgs":true,"family":"Einhouse","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":444781,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pothoven, S.A.","contributorId":52778,"corporation":false,"usgs":true,"family":"Pothoven","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":444782,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whitford, H.L.","contributorId":68991,"corporation":false,"usgs":true,"family":"Whitford","given":"H.L.","email":"","affiliations":[],"preferred":false,"id":444785,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034326,"text":"70034326 - 2011 - Characteristics of foraging sites and protein status in wintering muskoxen: insights from isotopes of nitrogen","interactions":[],"lastModifiedDate":"2018-04-04T10:13:21","indexId":"70034326","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Characteristics of foraging sites and protein status in wintering muskoxen: insights from isotopes of nitrogen","docAbstract":"<p><span>Identifying links between nutritional condition of individuals and population trajectories greatly enhances our understanding of the ecology, conservation, and management of wildlife. For northern ungulates, the potential impacts of a changing climate to populations are predicted to be nutritionally mediated through an increase in the severity and variance in winter conditions. Foraging conditions and the availability of body protein as a store for reproduction in late winter may constrain productivity in northern ungulates, yet the link between characteristics of wintering habitats and protein status has not been established for a wild ungulate. We used a non‐invasive proxy of protein status derived from isotopes of N in excreta to evaluate the influence of winter habitats on the protein status of muskoxen in three populations in Alaska (2005–2008). Multiple regression and an information‐theoretic approach were used to compare models that evaluated the influence of population, year, and characteristics of foraging sites (components of diet and physiography) on protein status for groups of muskoxen. The observed variance in protein status among groups of muskoxen across populations and years was partially explained (45%) by local foraging conditions that affected forage availability. Protein status improved for groups of muskoxen as the amount of graminoids in the diet increased (−0.430 ± 0.31, β± 95% CI) and elevation of foraging sites decreased (0.824 ± 0.67). Resources available for reproduction in muskoxen are highly dependent upon demographic, environmental, and physiographic constraints that affect forage availability in winter. Due to their very sedentary nature in winter, muskoxen are highly susceptible to localized foraging conditions; therefore, the spatial variance in resource availability may exert a strong effect on productivity. Consequently, there is a clear need to account for climate–topography effects in winter at multiple scales when predicting the potential impacts of climatic shifts on population trajectories of muskoxen.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1600-0706.2011.19215.x","usgsCitation":"Gustine, D.D., Barboza, P.S., Lawler, J.P., Arthur, S.M., Shults, B.S., Persons, K., and Adams, L., 2011, Characteristics of foraging sites and protein status in wintering muskoxen: insights from isotopes of nitrogen: Oikos, v. 120, no. 10, p. 1546-1556, https://doi.org/10.1111/j.1600-0706.2011.19215.x.","productDescription":"11 p.","startPage":"1546","endPage":"1556","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":244719,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","issue":"10","noUsgsAuthors":false,"publicationDate":"2011-03-30","publicationStatus":"PW","scienceBaseUri":"5059f498e4b0c8380cd4bde6","contributors":{"authors":[{"text":"Gustine, David D. dgustine@usgs.gov","contributorId":3776,"corporation":false,"usgs":true,"family":"Gustine","given":"David","email":"dgustine@usgs.gov","middleInitial":"D.","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":445247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barboza, Perry S.","contributorId":36454,"corporation":false,"usgs":false,"family":"Barboza","given":"Perry","email":"","middleInitial":"S.","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":445244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawler, James P.","contributorId":140458,"corporation":false,"usgs":false,"family":"Lawler","given":"James","email":"","middleInitial":"P.","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":445245,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arthur, Stephen M.","contributorId":189438,"corporation":false,"usgs":false,"family":"Arthur","given":"Stephen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":445246,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shults, Brad S.","contributorId":46413,"corporation":false,"usgs":true,"family":"Shults","given":"Brad","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":445250,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Persons, Kate","contributorId":203273,"corporation":false,"usgs":false,"family":"Persons","given":"Kate","email":"","affiliations":[],"preferred":false,"id":445248,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Adams, Layne G. 0000-0001-6212-2896 ladams@usgs.gov","orcid":"https://orcid.org/0000-0001-6212-2896","contributorId":2776,"corporation":false,"usgs":true,"family":"Adams","given":"Layne G.","email":"ladams@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":445249,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70034231,"text":"70034231 - 2011 - Rift Valley fever virus infection in African Buffalo (Syncerus caffer) herds in rural South Africa: Evidence of interepidemic transmission","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034231","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":733,"text":"American Journal of Tropical Medicine and Hygiene","active":true,"publicationSubtype":{"id":10}},"title":"Rift Valley fever virus infection in African Buffalo (Syncerus caffer) herds in rural South Africa: Evidence of interepidemic transmission","docAbstract":"Rift Valley fever virus (RVFV) is an emerging biodefense pathogen that poses significant threats to human and livestock health. To date, the interepidemic reservoirs of RVFV are not well defined. In a longitudinal survey of infectious diseases among African buffalo during 2000-2006, 550 buffalo were tested for antibodies against RVFV in 820 capture events in 302 georeferenced locations in Kruger National Park, South Africa. Overall, 115 buffalo (21%) were seropositive. Seroprevalence of RVFV was highest (32%) in the first study year, and decreased progressively in subsequent years, but had no detectable impact on survival. Nine (7%) of 126 resampled, initially seronegative animals seroconverted during periods outside any reported regional RVFV outbreaks. Seroconversions for RVFV were detected in significant temporal clusters during 2001-2003 and in 2004. These findings highlight the potential importance of wildlife as reservoirs for RVFV and interepidemic RVFV transmission in perpetuating regional RVFV transmission risk. Copyright ?? 2011 by The American Society of Tropical Medicine and Hygiene.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"American Journal of Tropical Medicine and Hygiene","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.4269/ajtmh.2011.10-0187","issn":"00029637","usgsCitation":"LaBeaud, A., Cross, P., Getz, W., Glinka, A., and King, C., 2011, Rift Valley fever virus infection in African Buffalo (Syncerus caffer) herds in rural South Africa: Evidence of interepidemic transmission: American Journal of Tropical Medicine and Hygiene, v. 84, no. 4, p. 641-646, https://doi.org/10.4269/ajtmh.2011.10-0187.","startPage":"641","endPage":"646","numberOfPages":"6","costCenters":[],"links":[{"id":475314,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.4269/ajtmh.2011.10-0187","text":"External Repository"},{"id":216847,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4269/ajtmh.2011.10-0187"},{"id":244743,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aad65e4b0c8380cd86ec7","contributors":{"authors":[{"text":"LaBeaud, A.D.","contributorId":56476,"corporation":false,"usgs":true,"family":"LaBeaud","given":"A.D.","email":"","affiliations":[],"preferred":false,"id":444792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, P.C.","contributorId":48141,"corporation":false,"usgs":true,"family":"Cross","given":"P.C.","email":"","affiliations":[],"preferred":false,"id":444791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Getz, W.M.","contributorId":7669,"corporation":false,"usgs":true,"family":"Getz","given":"W.M.","affiliations":[],"preferred":false,"id":444789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glinka, A.","contributorId":8699,"corporation":false,"usgs":true,"family":"Glinka","given":"A.","email":"","affiliations":[],"preferred":false,"id":444790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, C.H.","contributorId":93732,"corporation":false,"usgs":true,"family":"King","given":"C.H.","email":"","affiliations":[],"preferred":false,"id":444793,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034325,"text":"70034325 - 2011 - The role of dyking and fault control in the rapid onset of eruption at Chaitén Volcano, Chile","interactions":[],"lastModifiedDate":"2012-12-14T10:02:25","indexId":"70034325","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"The role of dyking and fault control in the rapid onset of eruption at Chaitén Volcano, Chile","docAbstract":"Rhyolite is the most viscous of liquid magmas, so it was surprising that on 2 May 2008 at Chaitén Volcano, located in Chile’s southern Andean volcanic zone, rhyolitic magma migrated from more than 5 km depth in less than 4 hours and erupted explosively with only two days of detected precursory seismic activity. The last major rhyolite eruption before that at Chaitén was the largest volcanic eruption in the twentieth century, at Novarupta volcano, Alaska, in 1912. Because of the historically rare and explosive nature of rhyolite eruptions and because of the surprisingly short warning before the eruption of the Chaitén volcano, any information about the workings of the magmatic system at Chaitén, and rhyolitic systems in general, is important from both the scientific and hazard perspectives. Here we present surface deformation data related to the Chaitén eruption based on radar interferometry observations from the Japan Aerospace Exploration Agency (JAXA) DAICHI (ALOS) satellite. The data on this explosive rhyolite eruption indicate that the rapid ascent of rhyolite occurred through dyking and that melt segregation and magma storage were controlled by existing faults.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1038/nature10541","issn":"00280836","usgsCitation":"Wicks, C., De La, L.J., Lara, L., and Lowenstern, J., 2011, The role of dyking and fault control in the rapid onset of eruption at Chaitén Volcano, Chile: Nature, v. 478, no. 7369, p. 374-377, https://doi.org/10.1038/nature10541.","productDescription":"4 p.","startPage":"374","endPage":"377","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":216795,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/nature10541"},{"id":244687,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Chaitï¿½n Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.661085,-42.847669 ], [ -72.661085,-42.827666 ], [ -72.641077,-42.827666 ], [ -72.641077,-42.847669 ], [ -72.661085,-42.847669 ] ] ] } } ] }","volume":"478","issue":"7369","noUsgsAuthors":false,"publicationDate":"2011-10-19","publicationStatus":"PW","scienceBaseUri":"505baf68e4b08c986b324784","contributors":{"authors":[{"text":"Wicks, Charles 0000-0002-0809-1328","orcid":"https://orcid.org/0000-0002-0809-1328","contributorId":9023,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":445240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De La, Llera J. C. J. C.","contributorId":30482,"corporation":false,"usgs":true,"family":"De La","given":"Llera","suffix":"J. C.","email":"","middleInitial":"J. C.","affiliations":[],"preferred":false,"id":445241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lara, L.E.","contributorId":70216,"corporation":false,"usgs":true,"family":"Lara","given":"L.E.","email":"","affiliations":[],"preferred":false,"id":445243,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowenstern, J.","contributorId":38746,"corporation":false,"usgs":true,"family":"Lowenstern","given":"J.","affiliations":[],"preferred":false,"id":445242,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034311,"text":"70034311 - 2011 - Bedform response to flow variability","interactions":[],"lastModifiedDate":"2021-04-22T19:04:41.185246","indexId":"70034311","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Bedform response to flow variability","docAbstract":"<p><span>Laboratory observations and computational results for the response of bedform fields to rapid variations in discharge are compared and discussed. The simple case considered here begins with a relatively low discharge over a flat bed on which bedforms are initiated, followed by a short high‐flow period with double the original discharge, during which the morphology of the bedforms adjusts, followed in turn by a relatively long period of the original low discharge. For the grain size and hydraulic conditions selected, the Froude number remains subcritical during the experiment, and sediment moves predominantly as bedload. Observations show rapid development of quasi‐two‐dimensional bedforms during the initial period of low flow with increasing wavelength and height over the initial low‐flow period. When the flow increases, the bedforms rapidly increase in wavelength and height, as expected from other empirical results. When the flow decreases back to the original discharge, the height of the bedforms quickly decreases in response, but the wavelength decreases much more slowly. Computational results using an unsteady two‐dimensional flow model coupled to a disequilibrium bedload transport model for the same conditions simulate the formation and initial growth of the bedforms fairly accurately and also predict an increase in dimensions during the high‐flow period. However, the computational model predicts a much slower rate of wavelength increase, and also performs less accurately during the final low‐flow period, where the wavelength remains essentially constant, rather than decreasing. In addition, the numerical results show less variability in bedform wavelength and height than the measured values; the bedform shape is also somewhat different. Based on observations, these discrepancies may result from the simplified model for sediment particle step lengths used in the computational approach. Experiments show that the particle step length varies spatially and temporally over the bedforms during the evolution process. Assuming a constant value for the step length neglects the role of flow alterations in the bedload sediment‐transport process, which appears to result in predicted bedform wavelength changes smaller than those observed. However, observations also suggest that three‐dimensional effects play at least some role in the decrease of bedform wavelength, so incorporating better models for particle hop lengths alone may not be sufficient to improve model predictions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.2212","issn":"01979337","usgsCitation":"Nelson, J.M., Logan, B., Kinzel, P., Shimizu, Y., Giri, S., Shreve, R., and McLean, S., 2011, Bedform response to flow variability: Earth Surface Processes and Landforms, v. 36, no. 14, p. 1938-1947, https://doi.org/10.1002/esp.2212.","productDescription":"10 p.","startPage":"1938","endPage":"1947","numberOfPages":"10","costCenters":[],"links":[{"id":244466,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216586,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/esp.2212"}],"volume":"36","issue":"14","noUsgsAuthors":false,"publicationDate":"2011-09-13","publicationStatus":"PW","scienceBaseUri":"5059f041e4b0c8380cd4a69f","contributors":{"authors":[{"text":"Nelson, J. M.","contributorId":68687,"corporation":false,"usgs":true,"family":"Nelson","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":445191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Logan, B.L.","contributorId":17349,"corporation":false,"usgs":true,"family":"Logan","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":445188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kinzel, P.J.","contributorId":27834,"corporation":false,"usgs":true,"family":"Kinzel","given":"P.J.","affiliations":[],"preferred":false,"id":445189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shimizu, Y.","contributorId":88177,"corporation":false,"usgs":true,"family":"Shimizu","given":"Y.","affiliations":[],"preferred":false,"id":445193,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Giri, S.","contributorId":32749,"corporation":false,"usgs":true,"family":"Giri","given":"S.","affiliations":[],"preferred":false,"id":445190,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shreve, R.L.","contributorId":105536,"corporation":false,"usgs":true,"family":"Shreve","given":"R.L.","affiliations":[],"preferred":false,"id":445194,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McLean, S.R.","contributorId":84937,"corporation":false,"usgs":true,"family":"McLean","given":"S.R.","affiliations":[],"preferred":false,"id":445192,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70034307,"text":"70034307 - 2011 - Sockeye salmon (Oncorhynchus nerka) return after an absence of nearly 90 years: A case of reversion to anadromy","interactions":[],"lastModifiedDate":"2021-04-22T19:28:52.288022","indexId":"70034307","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Sockeye salmon (Oncorhynchus nerka) return after an absence of nearly 90 years: A case of reversion to anadromy","docAbstract":"<p><span>We document the recent reappearance of anadromous sockeye salmon (</span><i><span class=\"named-content\" data-type=\"species\">Oncorhynchus nerka</span></i><span>) that were thought to have been extirpated by the construction of hydroelectric dams on the Coquitlam and Alouette rivers in British Columbia, Canada, in 1914 and 1927, respectively. Unexpected downstream migrations of juveniles during experimental water releases into both rivers in 2005 and 2006 preceded upstream return migrations of adults in 2007 and 2008. Genetic (microsatellite and mitochondrial DNA) markers and stable isotope (δ</span><sup>34</sup><span>S and&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr) patterns in otoliths confirm that both the juvenile downstream migrants and adult upstream migrants were progeny of nonanadromous sockeye salmon (kokanee) that inhabit Coquitlam and Alouette reservoirs. Low genetic diversity and evidence of genetic bottlenecks suggest that the kokanee populations in both reservoirs originated from relatively few anadromous individuals that residualized after downstream migration was largely prevented by the construction of dams. Once given an opportunity for upstream and downstream migration, both populations appear capable of reverting to a successful anadromous form, even after 25 generations.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/f2011-089","issn":"0706652X","usgsCitation":"Godbout, L., Wood, C., Withler, R., Latham, S., Nelson, R., Wetzel, L., Barnett-Johnson, R., Grove, M., Schmitt, A., and McKeegan, K., 2011, Sockeye salmon (Oncorhynchus nerka) return after an absence of nearly 90 years: A case of reversion to anadromy: Canadian Journal of Fisheries and Aquatic Sciences, v. 68, no. 9, p. 1590-1602, https://doi.org/10.1139/f2011-089.","productDescription":"13 p.","startPage":"1590","endPage":"1602","costCenters":[],"links":[{"id":244402,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216525,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/f2011-089"}],"country":"Canada","state":"British Columbia","otherGeospatial":"Alouette Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.277587890625,\n              49.027063474829326\n            ],\n            [\n              -121.69006347656249,\n              49.027063474829326\n            ],\n            [\n              -121.69006347656249,\n              50.39801383084027\n            ],\n            [\n              -123.277587890625,\n              50.39801383084027\n            ],\n            [\n              -123.277587890625,\n              49.027063474829326\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"68","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b91cde4b08c986b319af8","contributors":{"authors":[{"text":"Godbout, L.","contributorId":80928,"corporation":false,"usgs":true,"family":"Godbout","given":"L.","email":"","affiliations":[],"preferred":false,"id":445170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, C.C.","contributorId":17738,"corporation":false,"usgs":true,"family":"Wood","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":445164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Withler, R.E.","contributorId":46794,"corporation":false,"usgs":true,"family":"Withler","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":445166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Latham, S.","contributorId":44760,"corporation":false,"usgs":true,"family":"Latham","given":"S.","email":"","affiliations":[],"preferred":false,"id":445165,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, R.J.","contributorId":85795,"corporation":false,"usgs":true,"family":"Nelson","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":445171,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wetzel, L.","contributorId":9086,"corporation":false,"usgs":true,"family":"Wetzel","given":"L.","email":"","affiliations":[],"preferred":false,"id":445163,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barnett-Johnson, R.","contributorId":100646,"corporation":false,"usgs":true,"family":"Barnett-Johnson","given":"R.","email":"","affiliations":[],"preferred":false,"id":445172,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grove, M.J.","contributorId":59652,"corporation":false,"usgs":true,"family":"Grove","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":445168,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schmitt, A.K.","contributorId":75320,"corporation":false,"usgs":true,"family":"Schmitt","given":"A.K.","email":"","affiliations":[],"preferred":false,"id":445169,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McKeegan, K.D.","contributorId":58494,"corporation":false,"usgs":true,"family":"McKeegan","given":"K.D.","email":"","affiliations":[],"preferred":false,"id":445167,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70034306,"text":"70034306 - 2011 - Collection of mammal manure and other Debris by nesting Burrowing Owls","interactions":[],"lastModifiedDate":"2021-04-23T12:36:23.48218","indexId":"70034306","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Collection of mammal manure and other Debris by nesting Burrowing Owls","docAbstract":"<p><span>Burrowing Owls (</span><span class=\"genus-species\">Athene cunicularia</span><span>) routinely collect and scatter dry manure of mammals around their nesting burrows. Recent studies have suggested this behavior attracts insect prey to the nesting burrow. However, some Burrowing Owls do not use manure, but instead, collect and scatter other materials (e.g., grass, moss, paper, plastic) around their nesting burrow in a similar fashion. Use of these materials seemingly contradicts the prey-attraction hypothesis. Using observational and experimental methods, we tested whether Burrowing Owls preferred manure to other materials commonly found at nesting burrows in eastern Washington. We found a wide variety of materials at nests, but grass and manure were the most common materials. The amount of manure present at nests was negatively correlated with the amount of other materials, and with the distance to the nearest source of manure. Burrowing Owls showed no preference between horse manure and grass divots at experimental supply stations that we placed near nesting burrows. They did prefer these two materials to carpet pieces and aluminum foil (both materials that are often found at Burrowing Owl nests). Our results did not support the premise that Burrowing Owls specifically seek out manure when lining their nesting burrows. The unusual behavior of collecting and scattering mammal manure and other debris at Burrowing Owl nests may serve functions other than (or in addition to) prey attraction and alternative hypotheses need further testing before the function of this behavior is certain.</span></p>","language":"English","publisher":"BioOne","doi":"10.3356/JRR-10-63.1","issn":"08921016","usgsCitation":"Smith, M.D., and Conway, C., 2011, Collection of mammal manure and other Debris by nesting Burrowing Owls: Journal of Raptor Research, v. 45, no. 3, p. 220-228, https://doi.org/10.3356/JRR-10-63.1.","productDescription":"9 p.","startPage":"220","endPage":"228","costCenters":[],"links":[{"id":475326,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr-10-63.1","text":"Publisher Index Page"},{"id":244401,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f7b1e4b0c8380cd4cc5f","contributors":{"authors":[{"text":"Smith, M. D.","contributorId":25724,"corporation":false,"usgs":false,"family":"Smith","given":"M.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":445161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, C.J.","contributorId":33417,"corporation":false,"usgs":true,"family":"Conway","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":445162,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034305,"text":"70034305 - 2011 - Modeled sources, transport, and accumulation of dissolved solids in water resources of the southwestern United States","interactions":[],"lastModifiedDate":"2021-04-23T12:37:59.70788","indexId":"70034305","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Modeled sources, transport, and accumulation of dissolved solids in water resources of the southwestern United States","docAbstract":"<p><span>Information on important source areas for dissolved solids in streams of the southwestern United States, the relative share of deliveries of dissolved solids to streams from natural and human sources, and the potential for salt accumulation in soil or groundwater was developed using a SPAtially Referenced Regressions On Watershed attributes model. Predicted area‐normalized reach‐catchment delivery rates of dissolved solids to streams ranged from &lt;10 (kg/year)/km</span><sup>2</sup><span>&nbsp;for catchments with little or no natural or human‐related solute sources in them to 563,000 (kg/year)/km</span><sup>2</sup><span>&nbsp;for catchments that were almost entirely cultivated land. For the region as a whole, geologic units contributed 44% of the dissolved‐solids deliveries to streams and the remaining 56% of the deliveries came from the release of solutes through irrigation of cultivated and pasture lands, which comprise only 2.5% of the land area. Dissolved‐solids accumulation is manifested as precipitated salts in the soil or underlying sediments, and (or) dissolved salts in soil‐pore or sediment‐pore water, or groundwater, and therefore represents a potential for aquifer contamination. Accumulation rates were &lt;10,000 (kg/year)/km</span><sup>2</sup><span>&nbsp;for many hydrologic accounting units (large river basins), but were more than 40,000 (kg/year)/km</span><sup>2</sup><span>&nbsp;for the Middle Gila, Lower Gila‐Agua Fria, Lower Gila, Lower Bear, Great Salt Lake accounting units, and 247,000 (kg/year)/km</span><sup>2</sup><span>&nbsp;for the Salton Sea accounting unit.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2011.00579.x","issn":"1093474X","usgsCitation":"Anning, D., 2011, Modeled sources, transport, and accumulation of dissolved solids in water resources of the southwestern United States: Journal of the American Water Resources Association, v. 47, no. 5, p. 1087-1109, https://doi.org/10.1111/j.1752-1688.2011.00579.x.","productDescription":"23 p.","startPage":"1087","endPage":"1109","costCenters":[],"links":[{"id":475328,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1752-1688.2011.00579.x","text":"Publisher Index Page"},{"id":244880,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Nevada, Utah, New Mexico, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.2919921875,\n              31.353636941500987\n            ],\n            [\n              -108.017578125,\n              31.39115752282472\n            ],\n            [\n              -108.2373046875,\n              31.914867503276223\n            ],\n            [\n              -105.1171875,\n              31.952162238024975\n            ],\n            [\n              -105.1171875,\n              40.97989806962013\n            ],\n            [\n              -110.478515625,\n              42.90816007196054\n            ],\n            [\n              -122.56347656249999,\n              42.06560675405716\n            ],\n            [\n              -121.33300781249999,\n              38.65119833229951\n            ],\n            [\n              -118.95996093749999,\n              35.639441068973944\n            ],\n            [\n              -120.89355468749999,\n              34.45221847282654\n            ],\n            [\n              -118.16894531249999,\n              33.87041555094183\n            ],\n            [\n              -116.93847656250001,\n              32.76880048488168\n            ],\n            [\n              -117.20214843749999,\n              32.39851580247402\n            ],\n            [\n              -114.6533203125,\n              32.65787573695528\n            ],\n            [\n              -110.91796875,\n              31.316101383495624\n            ],\n            [\n              -109.2919921875,\n              31.353636941500987\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-22","publicationStatus":"PW","scienceBaseUri":"505a5bbae4b0c8380cd6f775","contributors":{"authors":[{"text":"Anning, D.W.","contributorId":6905,"corporation":false,"usgs":true,"family":"Anning","given":"D.W.","affiliations":[],"preferred":false,"id":445160,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70034232,"text":"70034232 - 2011 - Lava tube shatter rings and their correlation with lava flux increases at Kīlauea Volcano, Hawai‘i","interactions":[],"lastModifiedDate":"2012-12-18T09:39:02","indexId":"70034232","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Lava tube shatter rings and their correlation with lava flux increases at Kīlauea Volcano, Hawai‘i","docAbstract":"Shatter rings are circular to elliptical volcanic features, typically tens of meters in diameter, which form over active lava tubes. They are typified by an upraised rim of blocky rubble and a central depression. Prior to this study, shatter rings had not been observed forming, and, thus, were interpreted in many ways. This paper describes the process of formation for shatter rings observed at Kīlauea Volcano during November 2005–July 2006. During this period, tilt data, time-lapse images, and field observations showed that episodic tilt changes at the nearby Pu‘u ‘Ō‘ō cone, the shallow magmatic source reservoir, were directly related to fluctuations in the level of lava in the active lava tube, with periods of deflation at Pu‘u ‘Ō‘ō correlating with increases in the level of the lava stream surface. Increases in lava level are interpreted as increases in lava flux, and were coincident with lava breakouts from shatter rings constructed over the lava tube. The repetitive behavior of the lava flux changes, inferred from the nearly continuous tilt oscillations, suggests that shatter rings form from the repeated rise and fall of a portion of a lava tube roof. The locations of shatter rings along the active lava tube suggest that they form where there is an abrupt decrease in flow velocity through the tube, e.g., large increase in tube width, abrupt decrease in tube slope, and (or) sudden change in tube direction. To conserve volume, this necessitates an abrupt increase in lava stream depth and causes over-pressurization of the tube. More than a hundred shatter rings have been identified on volcanoes on Hawai‘i and Maui, and dozens have been reported from basaltic lava fields in Iceland, Australia, Italy, Samoa, and the mainland United States. A quick study of other basaltic lava fields worldwide, using freely available satellite imagery, suggests that they might be even more common than previously thought. If so, this confirms that episodic fluctuation in lava effusion rate is a relatively common process at basaltic volcanoes, and that the presence of shatter rings in prehistoric lava flow fields can be used as evidence that such fluctuations have occurred.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of Volcanology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00445-010-0414-3","issn":"02588900","usgsCitation":"Orr, T., 2011, Lava tube shatter rings and their correlation with lava flux increases at Kīlauea Volcano, Hawai‘i: Bulletin of Volcanology, v. 73, no. 3, p. 335-346, https://doi.org/10.1007/s00445-010-0414-3.","productDescription":"12 p.","startPage":"335","endPage":"346","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"links":[{"id":216848,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00445-010-0414-3"},{"id":244744,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.798371,19.056854 ], [ -155.798371,19.550464 ], [ -155.016307,19.550464 ], [ -155.016307,19.056854 ], [ -155.798371,19.056854 ] ] ] } } ] }","volume":"73","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-10-02","publicationStatus":"PW","scienceBaseUri":"505a458fe4b0c8380cd6740a","contributors":{"authors":[{"text":"Orr, T.R.","contributorId":29244,"corporation":false,"usgs":true,"family":"Orr","given":"T.R.","email":"","affiliations":[],"preferred":false,"id":444794,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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