A sediment core taken from the western edge of the Bonneville Basin has provided high-resolution proxy records of relative lake-size change for the period 45.1–10.5 calendar ka (hereafter ka). Age control was provided by a paleomagnetic secular variation (PSV)-based age model for Blue Lake core BL04-4. Continuous records of δ18O and total inorganic carbon (TIC) generally match an earlier lake-level envelope based on outcrops and geomorphic features, but with differences in the timing of some hydrologic events/states. The Stansbury Oscillation was found to consist of two oscillations centered on 25 and 24 ka. Lake Bonneville appears to have reached its geomorphic highstand and began spilling at 18.5 ka. The fall from the highstand to the Provo level occurred at 17.0 ka and the lake intermittently overflowed at the Provo level until 15.2 ka, at which time the lake fell again, bottoming out at ∼14.7 ka. The lake also fell briefly below the Provo level at ∼15.9 ka. Carbonate and δ18O data indicate that between 14.7 and 13.1 ka the lake slowly rose to the Gilbert shoreline and remained at about that elevation until 11.6 ka, when it fell again. Chemical and sedimentological data indicate that a marsh formed in the Blue Lake area at 10.5 ka.
Relatively dry periods in the BL04-4 records are associated with Heinrich events H1–H4, suggesting that either the warming that closely followed a Heinrich event increased the evaporation rate in the Bonneville Basin and (or) that the core of the polar jet stream (PJS) shifted north of the Bonneville Basin in response to massive losses of ice from the Laurentide Ice Sheet (LIS) during the Heinrich event. The second Stansbury Oscillation occurred during Heinrich event H2, and the Gilbert wet event occurred during the Younger Dryas cold interval. Several relatively wet events in BL04-4 occur during Dansgaard-Oeschger (DO) warm events.
The growth of the Bear River glacier between 32 and 17 ka paralleled changes in the values of proxy indicators of Bonneville Basin wetness and terminal moraines on the western side of the Wasatch Mountains have ages ranging from 16.9 to 15.2 ka. This suggests a near synchroneity of change in the hydrologic and cryologic balances occurring in the Bonneville drainage system and that glacial extent was linked to lake size.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2010.12.014","issn":"10406182","usgsCitation":"Benson, L.V., Lund, S., Smoot, J.P., Rhode, D., Spencer, R.J., Verosub, K., Louderback, L., Johnson, C.A., Rye, R.O., and Negrini, R., 2011, The rise and fall of Lake Bonneville between 45 and 10.5 ka: Quaternary International, v. 235, no. 1-2, p. 57-69, https://doi.org/10.1016/j.quaint.2010.12.014.","productDescription":"13 p.","startPage":"57","endPage":"69","numberOfPages":"13","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":242173,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"235","issue":"1-2","tableOfContents":"Shale gas is a form of continuous unconventional hydrocarbon accumulation whose resource estimation is unfeasible through the inference of pore volume. Under these circumstances, the usual approach is to base the assessment on well productivity through estimated ultimate recovery (EUR). Unconventional resource assessments that consider uncertainty are typically done by applying analytical procedures based on classical statistics theory that ignores geographical location, does not take into account spatial correlation, and assumes independence of EUR from other variables that may enter into the modeling. We formulate a new, more comprehensive approach based on sequential simulation to test methodologies known to be capable of more fully utilizing the data and overcoming unrealistic simplifications. Theoretical requirements demand modeling of EUR as areal density instead of well EUR. The new experimental methodology is illustrated by evaluating a gas play in the Woodford Shale in the Arkoma Basin of Oklahoma. Differently from previous assessments, we used net thickness and vitrinite reflectance as secondary variables correlated to cell EUR. In addition to the traditional probability distribution for undiscovered resources, the new methodology provides maps of EUR density and maps with probabilities to reach any given cell EUR, which are useful to visualize geographical variations in prospectivity.
","language":"English, Spanish","issn":"03660176","usgsCitation":"Olea, R., Houseknecht, D., Garrity, C., and Cook, T.A., 2011, Formulation of a correlated variables methodology for assessment of continuous gas resources with an application to the Woodford play, Arkoma Basin, eastern Oklahoma: Boletin Geologico y Minero, v. 122, no. 4, p. 483-496.","productDescription":"14 p.","startPage":"483","endPage":"496","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024393","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":246409,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Arkoma Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.48688507080078,\n 35.23664622093195\n ],\n [\n -94.43744659423828,\n 35.23664622093195\n ],\n [\n -94.43744659423828,\n 35.35881619143943\n ],\n [\n -94.48688507080078,\n 35.35881619143943\n ],\n [\n -94.48688507080078,\n 35.23664622093195\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"122","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a135ce4b0c8380cd5462c","contributors":{"authors":[{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":26436,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":455877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houseknecht, D.W. 0000-0002-9633-6910","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":33695,"corporation":false,"usgs":true,"family":"Houseknecht","given":"D.W.","affiliations":[],"preferred":false,"id":455878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garrity, C.P. 0000-0002-5565-1818","orcid":"https://orcid.org/0000-0002-5565-1818","contributorId":10021,"corporation":false,"usgs":true,"family":"Garrity","given":"C.P.","affiliations":[],"preferred":false,"id":455876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, T. A.","contributorId":60169,"corporation":false,"usgs":true,"family":"Cook","given":"T.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":455879,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036390,"text":"70036390 - 2011 - Causes of systematic over- or underestimation of low streamflows by use of index-streamgage approaches in the United States","interactions":[],"lastModifiedDate":"2013-05-23T14:51:50","indexId":"70036390","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Causes of systematic over- or underestimation of low streamflows by use of index-streamgage approaches in the United States","docAbstract":"Low-flow characteristics can be estimated by multiple linear regressions or the index-streamgage approach. The latter transfers streamflow information from a hydrologically similar, continuously gaged basin ('index streamgage') to one with a very limited streamflow record, but often results in biased estimates. The application of the index-streamgage approach can be generalized into three steps: (1) selection of streamflow information of interest, (2) definition of hydrologic similarity and selection of index streamgage, and (3) application of an information-transfer approach. Here, we explore the effects of (1) the range of streamflow values, (2) the areal density of streamgages, and (3) index-streamgage selection criteria on the bias of three information-transfer approaches on estimates of the 7-day, 10-year minimum streamflow (Q7, 10). The three information-transfer approaches considered are maintenance of variance extension, base-flow correlation, and ratio of measured to concurrent gaged streamflow (Q-ratio invariance). Our results for 1120 streamgages throughout the United States suggest that only a small portion of the total bias in estimated streamflow values is explained by the areal density of the streamgages and the hydrologic similarity between the two basins. However, restricting the range of streamflow values used in the index-streamgage approach reduces the bias of estimated Q7, 10 values substantially. Importantly, estimated Q7, 10 values are heavily biased when the observed Q7, 10 values are near zero. Results of the analysis also showed that Q7, 10 estimates from two of the three index-streamgage approaches have lower root-mean-square error values than estimates derived from multiple regressions for the large regions considered in this study.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/hyp.7976","issn":"08856087","usgsCitation":"Eng, K., Kiang, J., Chen, Y., Carlisle, D., and Granato, G., 2011, Causes of systematic over- or underestimation of low streamflows by use of index-streamgage approaches in the United States: Hydrological Processes, v. 25, no. 14, p. 2211-2220, https://doi.org/10.1002/hyp.7976.","productDescription":"10 p.","startPage":"2211","endPage":"2220","costCenters":[{"id":437,"text":"National Research Program - Eastern Region","active":false,"usgs":true}],"links":[{"id":246377,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218375,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.7976"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,19.0 ], [ 172.5,71.4 ], [ -70.0,71.4 ], [ -70.0,19.0 ], [ 172.5,19.0 ] ] ] } } ] }","volume":"25","issue":"14","noUsgsAuthors":false,"publicationDate":"2011-02-09","publicationStatus":"PW","scienceBaseUri":"5059f3d6e4b0c8380cd4b9c5","contributors":{"authors":[{"text":"Eng, K.","contributorId":51063,"corporation":false,"usgs":true,"family":"Eng","given":"K.","email":"","affiliations":[],"preferred":false,"id":455871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kiang, J.E.","contributorId":101058,"corporation":false,"usgs":true,"family":"Kiang","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":455875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Y.-Y.","contributorId":52018,"corporation":false,"usgs":true,"family":"Chen","given":"Y.-Y.","email":"","affiliations":[],"preferred":false,"id":455872,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carlisle, D.M.","contributorId":81059,"corporation":false,"usgs":true,"family":"Carlisle","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":455874,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Granato, G.E.","contributorId":61457,"corporation":false,"usgs":true,"family":"Granato","given":"G.E.","affiliations":[],"preferred":false,"id":455873,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70036389,"text":"70036389 - 2011 - Bounding species distribution models","interactions":[],"lastModifiedDate":"2021-01-07T21:06:16.85128","indexId":"70036389","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1362,"text":"Current Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Bounding species distribution models","docAbstract":"Species distribution models are increasing in popularity for mapping suitable habitat for species of management concern. Many investigators now recognize that extrapolations of these models with geographic information systems (GIS) might be sensitive to the environmental bounds of the data used in their development, yet there is no recommended best practice for “clamping” model extrapolations. We relied on two commonly used modeling approaches: classification and regression tree (CART) and maximum entropy (Maxent) models, and we tested a simple alteration of the model extrapolations, bounding extrapolations to the maximum and minimum values of primary environmental predictors, to provide a more realistic map of suitable habitat of hybridized Africanized honey bees in the southwestern United States. Findings suggest that multiple models of bounding, and the most conservative bounding of species distribution models, like those presented here, should probably replace the unbounded or loosely bounded techniques currently used.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/czoolo/57.5.642","usgsCitation":"Stohlgren, T.J., Jarnevich, C.S., Esaias, W.E., and Morisette, J., 2011, Bounding species distribution models: Current Zoology, v. 57, no. 5, p. 642-647, https://doi.org/10.1093/czoolo/57.5.642.","productDescription":"6 p.","startPage":"642","endPage":"647","numberOfPages":"6","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":475118,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/czoolo/57.5.642","text":"Publisher Index Page"},{"id":246376,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-10-01","publicationStatus":"PW","scienceBaseUri":"5059f248e4b0c8380cd4b0cc","contributors":{"authors":[{"text":"Stohlgren, Thomas J. 0000-0001-9696-4450 stohlgrent@usgs.gov","orcid":"https://orcid.org/0000-0001-9696-4450","contributorId":2902,"corporation":false,"usgs":true,"family":"Stohlgren","given":"Thomas","email":"stohlgrent@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":455867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":455869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esaias, Wayne E.","contributorId":12379,"corporation":false,"usgs":true,"family":"Esaias","given":"Wayne","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":455868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morisette, Jeffery T. 0000-0002-0483-0082","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":39297,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffery T.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":455870,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036388,"text":"70036388 - 2011 - The high life: Transport of microbes in the atmosphere","interactions":[],"lastModifiedDate":"2023-05-10T17:50:27.990713","indexId":"70036388","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"The high life: Transport of microbes in the atmosphere","docAbstract":"Microbes (bacteria, fungi, algae, and viruses) are the most successful types of life on Earth because of their ability to adapt to new environments, reproduce quickly, and disperse globally. Dispersal occurs through a number of vectors, such as migrating animals or the hydrological cycle, but transport by wind may be the most common way microbes spread. General awareness of airborne microbes predates the science of microbiology. People took advantage of wild airborne yeasts to cultivate lighter, more desirable bread as far back as ancient Egypt by simply leaving a mixture of grain and liquids near an open window. In 1862, Louis Pasteur's quest to disprove spontaneous generation resulted in the discovery that microbes were actually single-celled, living creatures, prevalent in the environment and easily killed with heat (pasteurization). His rudimentary experiments determined that any nutrient medium left open to the air would eventually teem with microbial life because of free-floating, colonizing cells. The same can happen in a kitchen: Opportunistic fungal and bacterial cells cause food items exposed to the air to eventually spoil.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2011EO300001","issn":"00963941","usgsCitation":"Smith, D., Griffin, D., and Jaffe, D., 2011, The high life: Transport of microbes in the atmosphere: Eos, Transactions, American Geophysical Union, v. 92, no. 30, p. 249-250, https://doi.org/10.1029/2011EO300001.","productDescription":"2 p.","startPage":"249","endPage":"250","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475390,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011eo300001","text":"Publisher Index Page"},{"id":246375,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"30","noUsgsAuthors":false,"publicationDate":"2011-07-26","publicationStatus":"PW","scienceBaseUri":"505bacb8e4b08c986b3236ba","contributors":{"authors":[{"text":"Smith, D.J.","contributorId":48417,"corporation":false,"usgs":true,"family":"Smith","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":455866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffin, Dale W.","contributorId":23668,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":455864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaffe, D.A.","contributorId":43713,"corporation":false,"usgs":true,"family":"Jaffe","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":455865,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70036386,"text":"70036386 - 2011 - Deciphering fluid sources of hydrothermal systems: A combined Sr- and S-isotope study on barite (Schwarzwald, SW Germany)","interactions":[],"lastModifiedDate":"2013-04-23T12:50:52","indexId":"70036386","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Deciphering fluid sources of hydrothermal systems: A combined Sr- and S-isotope study on barite (Schwarzwald, SW Germany)","docAbstract":"Primary and secondary barites from hydrothermal mineralizations in SW Germany were investigated, for the first time, by a combination of strontium (Sr) isotope systematics (87Sr/86Sr), Sr contents and δ34S values to distinguish fluid sources and precipitation mechanisms responsible for their formation. Barite of Permian age derived its Sr solely from crystalline basement rocks, whereas all younger barite also incorporate Sr from formation waters of the overlying sediments. In fact, most of the Sr in younger barite is leached from Lower and Middle Triassic sediments.\n\nIn contrast, most of the sulfur (S) of Permian, Jurassic and northern Schwarzwald Miocene barite originated from basement rocks. The S source of Upper Rhinegraben (URG)-related Paleogene barite differs depending on geographic position: for veins of the southern URG, it is the Oligocene evaporitic sequence, while central URG mineralizations derived its S from Middle Triassic evaporites.\n\nUsing Sr isotopes of barite of known age combined with estimates on the Sr contents and Sr isotopic ratios of the fluids' source rocks, we were able to quantify mixing ratios of basement-derived fluids and sedimentary formation waters for the first time. These calculations show that Jurassic barite formed by mixing of 75–95% ascending basement-derived fluids with 5–25% sedimentary formation water, but that only 20–55% of the Sr was brought by the basement-derived fluid to the depositional site. Miocene barite formed by mixing of an ascending basement-derived brine (60–70%) with 30–40% sedimentary formation waters. In this case, only 8–15% of the Sr was derived from the deep brine. This fluid-mixing calculation is an example for deposits in which the fluid source is known. This method applied to a greater number of deposits formed at different times and in various geological settings may shed light on more general causes of fluid movement in the Earth's crust and on the formation of hydrothermal ore deposits.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2011.04.009","issn":"00092541","usgsCitation":"Staude, S., Gob, S., Pfaff, K., Strobele, F., Premo, W.R., and Markl, G., 2011, Deciphering fluid sources of hydrothermal systems: A combined Sr- and S-isotope study on barite (Schwarzwald, SW Germany): Chemical Geology, v. 286, no. 1-2, p. 1-20, https://doi.org/10.1016/j.chemgeo.2011.04.009.","productDescription":"20 p.","startPage":"1","endPage":"20","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":218347,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2011.04.009"},{"id":246347,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Germany","city":"Schwarzwald","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 10.721425,50.765004 ], [ 10.721425,50.775105 ], [ 10.733359,50.775105 ], [ 10.733359,50.765004 ], [ 10.721425,50.765004 ] ] ] } } ] }","volume":"286","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fe03e4b0c8380cd4ea81","contributors":{"authors":[{"text":"Staude, S.","contributorId":43611,"corporation":false,"usgs":true,"family":"Staude","given":"S.","email":"","affiliations":[],"preferred":false,"id":455852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gob, S.","contributorId":65703,"corporation":false,"usgs":true,"family":"Gob","given":"S.","email":"","affiliations":[],"preferred":false,"id":455854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pfaff, K.","contributorId":86207,"corporation":false,"usgs":true,"family":"Pfaff","given":"K.","email":"","affiliations":[],"preferred":false,"id":455855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Strobele, F.","contributorId":44777,"corporation":false,"usgs":true,"family":"Strobele","given":"F.","email":"","affiliations":[],"preferred":false,"id":455853,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Premo, W. R. 0000-0001-9904-4801","orcid":"https://orcid.org/0000-0001-9904-4801","contributorId":22782,"corporation":false,"usgs":true,"family":"Premo","given":"W.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":455850,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Markl, G.","contributorId":24611,"corporation":false,"usgs":true,"family":"Markl","given":"G.","email":"","affiliations":[],"preferred":false,"id":455851,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70036259,"text":"70036259 - 2011 - A hierarchical spatial framework and database for the national river fish habitat condition assessment","interactions":[],"lastModifiedDate":"2026-01-28T14:45:30.141569","indexId":"70036259","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"A hierarchical spatial framework and database for the national river fish habitat condition assessment","docAbstract":"Fisheries management programs, such as the National Fish Habitat Action Plan (NFHAP), urgently need a nationwide spatial framework and database for health assessment and policy development to protect and improve riverine systems. To meet this need, we developed a spatial framework and database using National Hydrography Dataset Plus (I-.100,000-scale); http://www.horizon-systems.com/nhdplus). This framework uses interconfluence river reaches and their local and network catchments as fundamental spatial river units and a series of ecological and political spatial descriptors as hierarchy structures to allow users to extract or analyze information at spatial scales that they define. This database consists of variables describing channel characteristics, network position/connectivity, climate, elevation, gradient, and size. It contains a series of catchment-natural and human-induced factors that are known to influence river characteristics. Our framework and database assembles all river reaches and their descriptors in one place for the first time for the conterminous United States. This framework and database provides users with the capability of adding data, conducting analyses, developing management scenarios and regulation, and tracking management progresses at a variety of spatial scales. This database provides the essential data needs for achieving the objectives of NFHAP and other management programs. The downloadable beta version database is available at http://ec2-184-73-40-15.compute-1.amazonaws.com/nfhap/main/.","language":"English, Spanish","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/03632415.2011.607075","issn":"03632415","usgsCitation":"Wang, L., Infante, D., Esselman, P., Cooper, A., Wu, D., Taylor, W., Beard, D., Whelan, G., and Ostroff, A., 2011, A hierarchical spatial framework and database for the national river fish habitat condition assessment: Fisheries, v. 36, no. 9, p. 436-449, https://doi.org/10.1080/03632415.2011.607075.","productDescription":"14 p.","startPage":"436","endPage":"449","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":218397,"rank":2,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/03632415.2011.607075"},{"id":246399,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":475255,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/2027.42/141797","text":"External Repository"}],"volume":"36","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-09-07","publicationStatus":"PW","scienceBaseUri":"5059e41ce4b0c8380cd463ff","contributors":{"authors":[{"text":"Wang, L.","contributorId":76904,"corporation":false,"usgs":true,"family":"Wang","given":"L.","email":"","affiliations":[],"preferred":false,"id":455148,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Infante, D.","contributorId":71418,"corporation":false,"usgs":true,"family":"Infante","given":"D.","affiliations":[],"preferred":false,"id":455147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esselman, P.","contributorId":67763,"corporation":false,"usgs":true,"family":"Esselman","given":"P.","email":"","affiliations":[],"preferred":false,"id":455146,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cooper, A.","contributorId":47517,"corporation":false,"usgs":true,"family":"Cooper","given":"A.","affiliations":[],"preferred":false,"id":455142,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wu, D.","contributorId":57215,"corporation":false,"usgs":true,"family":"Wu","given":"D.","email":"","affiliations":[],"preferred":false,"id":455145,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taylor, W.","contributorId":51140,"corporation":false,"usgs":true,"family":"Taylor","given":"W.","email":"","affiliations":[],"preferred":false,"id":455143,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beard, D.","contributorId":6305,"corporation":false,"usgs":true,"family":"Beard","given":"D.","email":"","affiliations":[],"preferred":false,"id":455140,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Whelan, G.","contributorId":52775,"corporation":false,"usgs":true,"family":"Whelan","given":"G.","email":"","affiliations":[],"preferred":false,"id":455144,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ostroff, A.","contributorId":36401,"corporation":false,"usgs":true,"family":"Ostroff","given":"A.","affiliations":[],"preferred":false,"id":455141,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70036262,"text":"70036262 - 2011 - Evaluating the effects of future climate change and elevated CO2 on the water use efficiency in terrestrial ecosystems of China","interactions":[],"lastModifiedDate":"2017-04-06T14:12:35","indexId":"70036262","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the effects of future climate change and elevated CO2 on the water use efficiency in terrestrial ecosystems of China","docAbstract":"Water use efficiency (WUE) is an important variable used in climate change and hydrological studies in relation to how it links ecosystem carbon cycles and hydrological cycles together. However, obtaining reliable WUE results based on site-level flux data remains a great challenge when scaling up to larger regional zones. Biophysical, process-based ecosystem models are powerful tools to study WUE at large spatial and temporal scales. The Integrated BIosphere Simulator (IBIS) was used to evaluate the effects of climate change and elevated CO2 concentrations on ecosystem-level WUE (defined as the ratio of gross primary production (GPP) to evapotranspiration (ET)) in relation to terrestrial ecosystems in China for 2009–2099. Climate scenario data (IPCC SRES A2 and SRES B1) generated from the Third Generation Coupled Global Climate Model (CGCM3) was used in the simulations. Seven simulations were implemented according to the assemblage of different elevated CO2 concentrations scenarios and different climate change scenarios. Analysis suggests that (1) further elevated CO2concentrations will significantly enhance the WUE over China by the end of the twenty-first century, especially in forest areas; (2) effects of climate change on WUE will vary for different geographical regions in China with negative effects occurring primarily in southern regions and positive effects occurring primarily in high latitude and altitude regions (Tibetan Plateau); (3) WUE will maintain the current levels for 2009–2099 under the constant climate scenario (i.e. using mean climate condition of 1951–2006 and CO2concentrations of the 2008 level); and (4) WUE will decrease with the increase of water resource restriction (expressed as evaporation ratio) among different ecosystems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2010.09.035","issn":"03043800","usgsCitation":"Zhu, Q., Jiang, H., Peng, C., Liu, J., Wei, X., Fang, X., Liu, S., Zhou, G., and Yu, S., 2011, Evaluating the effects of future climate change and elevated CO2 on the water use efficiency in terrestrial ecosystems of China: Ecological Modelling, v. 222, no. 14, p. 2414-2429, https://doi.org/10.1016/j.ecolmodel.2010.09.035.","productDescription":"16 p.","startPage":"2414","endPage":"2429","numberOfPages":"16","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":246437,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218430,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2010.09.035"}],"volume":"222","issue":"14","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0bf7e4b0c8380cd52989","contributors":{"authors":[{"text":"Zhu, Q.","contributorId":93711,"corporation":false,"usgs":true,"family":"Zhu","given":"Q.","email":"","affiliations":[],"preferred":false,"id":455163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiang, H.","contributorId":83731,"corporation":false,"usgs":true,"family":"Jiang","given":"H.","affiliations":[],"preferred":false,"id":455161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peng, C.","contributorId":79314,"corporation":false,"usgs":true,"family":"Peng","given":"C.","email":"","affiliations":[],"preferred":false,"id":455160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, J.","contributorId":23672,"corporation":false,"usgs":false,"family":"Liu","given":"J.","affiliations":[],"preferred":false,"id":455156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wei, X.","contributorId":50636,"corporation":false,"usgs":true,"family":"Wei","given":"X.","email":"","affiliations":[],"preferred":false,"id":455159,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fang, X.","contributorId":32288,"corporation":false,"usgs":true,"family":"Fang","given":"X.","email":"","affiliations":[],"preferred":false,"id":455158,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":455162,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhou, G.","contributorId":12604,"corporation":false,"usgs":true,"family":"Zhou","given":"G.","email":"","affiliations":[],"preferred":false,"id":455155,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yu, S.","contributorId":25771,"corporation":false,"usgs":true,"family":"Yu","given":"S.","email":"","affiliations":[],"preferred":false,"id":455157,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70036385,"text":"70036385 - 2011 - Common challenges for ecological modelling: synthesis of facilitated discussions held at the symposia organized for the 2009 conference of the International Society for Ecological Modelling in Quebec City, Canada, (October 6-9, 2009)","interactions":[],"lastModifiedDate":"2013-04-21T18:39:41","indexId":"70036385","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Common challenges for ecological modelling: synthesis of facilitated discussions held at the symposia organized for the 2009 conference of the International Society for Ecological Modelling in Quebec City, Canada, (October 6-9, 2009)","docAbstract":"The eleven symposia organized for the 2009 conference of the International Society for Ecological Modelling (ISEM 2009) held in Quebec City, Canada, October 6–9, 2009, included facilitated discussion sessions following formal presentations. Each symposium focused on a specific subject, and all the subjects could be classified into three broad categories: theoretical development, population dynamics and ecosystem processes. Following discussions with the symposia organizers, which indicated that they all shared similar issues and concerns, the facilitated discussions were task-oriented around four basic questions: (1) key challenges in the research area, (2) generating and sharing new ideas, (3) improving collaboration and networking, and (4) increasing visibility to decision-makers, partners and clients. Common challenges that emerged from the symposia included the need for improved communication and collaboration among different academic disciplines, further progress in both theoretical and practical modelling approaches, and accentuation of technology transfer. Regarding the generation and sharing of new ideas, the main issue that emerged was the type of positive interactions that should be encouraged among potential collaborators. The usefulness of the Internet, particularly for the sharing of open-source software and conducting discussion forums, was highlighted for improving collaboration and networking. Several communication tools are available today, and it is important for modellers to use them more intensively. Visibility can be increased by publishing professional newsletters, maintaining informal contacts with the public, organizing educational sessions in primary and secondary schools, and developing simplified analytical frameworks and pilot studies. Specific issues raised in each symposium are also discussed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.ecolmodel.2010.12.017","issn":"03043800","usgsCitation":"Larocque, G.R., Mailly, D., Yue, T., Anand, M., Peng, C., Kazanci, C., Etterson, M., Goethals, P., Jorgensen, S., Schramski, J., McIntire, E., Marceau, D., Chen, B., Chen, G., Yang, Z., Novotna, B., Luckai, N., Bhatti, J.S., Liu, J., Munson, A., Gordon, A.M., and Ascough, J., 2011, Common challenges for ecological modelling: synthesis of facilitated discussions held at the symposia organized for the 2009 conference of the International Society for Ecological Modelling in Quebec City, Canada, (October 6-9, 2009): Ecological Modelling, v. 222, no. 14, p. 2456-2468, https://doi.org/10.1016/j.ecolmodel.2010.12.017.","productDescription":"13 p.","startPage":"2456","endPage":"2468","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":218316,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2010.12.017"},{"id":246315,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"222","issue":"14","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f7fbe4b0c8380cd4cdf7","contributors":{"authors":[{"text":"Larocque, Guy R.","contributorId":68139,"corporation":false,"usgs":true,"family":"Larocque","given":"Guy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":455840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mailly, 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J.R.","contributorId":73860,"corporation":false,"usgs":true,"family":"Schramski","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":455842,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McIntire, E.J.B.","contributorId":83373,"corporation":false,"usgs":true,"family":"McIntire","given":"E.J.B.","email":"","affiliations":[],"preferred":false,"id":455847,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Marceau, D.J.","contributorId":72239,"corporation":false,"usgs":true,"family":"Marceau","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":455841,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Chen, B.","contributorId":30420,"corporation":false,"usgs":true,"family":"Chen","given":"B.","email":"","affiliations":[],"preferred":false,"id":455835,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Chen, 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S.","contributorId":12720,"corporation":false,"usgs":true,"family":"Bhatti","given":"Jagtar","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":455830,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Liu, J.","contributorId":23672,"corporation":false,"usgs":false,"family":"Liu","given":"J.","affiliations":[],"preferred":false,"id":455833,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Munson, A.","contributorId":15049,"corporation":false,"usgs":true,"family":"Munson","given":"A.","affiliations":[],"preferred":false,"id":455831,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Gordon, Andrew M.","contributorId":9093,"corporation":false,"usgs":true,"family":"Gordon","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":455828,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Ascough, J.C.","contributorId":77776,"corporation":false,"usgs":true,"family":"Ascough","given":"J.C.","affiliations":[],"preferred":false,"id":455843,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}} ,{"id":70036383,"text":"70036383 - 2011 - Tiny intraplate earthquakes triggered by nearby episodic tremor and slip in Cascadia","interactions":[],"lastModifiedDate":"2012-03-12T17:22:03","indexId":"70036383","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Tiny intraplate earthquakes triggered by nearby episodic tremor and slip in Cascadia","docAbstract":"Episodic tremor and slip (ETS) has been observed in many subduction zones, but its mechanical underpinnings as well as its potential for triggering damaging earthquakes have proven difficult to assess. Here we use a seismic array in Cascadia of unprecedented density to monitor seismicity around a moderate 16 day ETS episode. In the 4 months of data we examine, we observe five tiny earthquakes within the subducting slab during the episode and only one more in the same area, which was just before and nearby the next ETS burst. These earthquakes concentrate along the sides and updip edge of the ETS region, consistent with greater stress concentration there than near the middle and downdip edge of the tremor area. Most of the seismicity is below the megathrust, with a similar depth extent to the background intraslab seismicity. The pattern of earthquakes that we find suggests slow slip has a more continuous temporal and spatial pattern than the tremor loci, which notoriously appear in bursts, jumps, and streaks. Copyright 2011 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochemistry, Geophysics, Geosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2011GC003559","issn":"15252027","usgsCitation":"Vidale, J., Hotovec, A., Ghosh, A., Creager, K.C., and Gomberg, J., 2011, Tiny intraplate earthquakes triggered by nearby episodic tremor and slip in Cascadia: Geochemistry, Geophysics, Geosystems, v. 12, no. 6, https://doi.org/10.1029/2011GC003559.","costCenters":[],"links":[{"id":488026,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011gc003559","text":"Publisher Index Page"},{"id":218260,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GC003559"},{"id":246255,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-06-15","publicationStatus":"PW","scienceBaseUri":"505bb40ee4b08c986b326156","contributors":{"authors":[{"text":"Vidale, J.E.","contributorId":55849,"corporation":false,"usgs":true,"family":"Vidale","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":455818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hotovec, A.J.","contributorId":82954,"corporation":false,"usgs":true,"family":"Hotovec","given":"A.J.","affiliations":[],"preferred":false,"id":455819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ghosh, A.","contributorId":17407,"corporation":false,"usgs":true,"family":"Ghosh","given":"A.","email":"","affiliations":[],"preferred":false,"id":455817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Creager, K. C.","contributorId":105078,"corporation":false,"usgs":true,"family":"Creager","given":"K.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":455821,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gomberg, J.","contributorId":95994,"corporation":false,"usgs":true,"family":"Gomberg","given":"J.","email":"","affiliations":[],"preferred":false,"id":455820,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70036382,"text":"70036382 - 2011 - Geology and petroleum potential of the north and east margins of the Siberian Craton, north of the Arctic Circle","interactions":[],"lastModifiedDate":"2021-01-13T18:17:14.030907","indexId":"70036382","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1784,"text":"Geological Society Memoir","active":true,"publicationSubtype":{"id":10}},"chapter":"27","title":"Geology and petroleum potential of the north and east margins of the Siberian Craton, north of the Arctic Circle","docAbstract":"The Siberian Craton consists of crystalline rocks and superimposed Precambrian sedimentary rocks deposited in rift basins. Palaeozoic rocks, mainly carbonates, were deposited along the margins of the craton to form an outwardly younger concentric pattern that underlies an outward-thickening Mesozoic sedimentary section. The north and east margins of the Siberian Craton subsequently became foreland basins created by compressional deformation during collision with other tectonic plates. The Tunguska Basin developed as a Palaeozoic rift/sag basin over Proterozoic rifts. The geological provinces along the north and east margins of the Siberian Craton are immature with respect to exploration, so exploration-history analysis alone cannot be used for assessing undiscovered petroleum resources. Therefore, other areas from around the world having greater petroleum exploration maturity and similar geological characteristics, and which have been previously assessed, were used as analogues to aid in this assessment. The analogues included those of foreland basins and rift/sag basins that were later subjected to compression. The US Geological Survey estimated the mean undiscovered, technically recoverable conventional petroleum resources to be approximately 28 billion barrels of oil equivalent, including approximately 8 billion barrels of crude oil, 103 trillion cubic feet of natural gas and 3 billion barrels of natural gas liquids.
","language":"English","publisher":"The Geological Society of London.","doi":"10.1144/M35.27","issn":"04354052","usgsCitation":"Klett, T., Wandrey, C., and Pitman, J.K., 2011, Geology and petroleum potential of the north and east margins of the Siberian Craton, north of the Arctic Circle: Geological Society Memoir, no. 35, p. 413-431, https://doi.org/10.1144/M35.27.","productDescription":"19 p.","startPage":"413","endPage":"431","costCenters":[],"links":[{"id":246254,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218259,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1144/M35.27"}],"country":"Russia","otherGeospatial":"Siberian Craton","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 104.0625,\n 53.330872983017066\n ],\n [\n 126.21093749999999,\n 53.330872983017066\n ],\n [\n 126.21093749999999,\n 71.18775391813158\n ],\n [\n 104.0625,\n 71.18775391813158\n ],\n [\n 104.0625,\n 53.330872983017066\n ]\n ]\n ]\n }\n }\n ]\n}","issue":"35","noUsgsAuthors":false,"publicationDate":"2011-08-05","publicationStatus":"PW","scienceBaseUri":"5059f467e4b0c8380cd4bcf5","contributors":{"authors":[{"text":"Klett, T. R. 0000-0001-9779-1168","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":83067,"corporation":false,"usgs":true,"family":"Klett","given":"T. R.","affiliations":[],"preferred":false,"id":455814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wandrey, C. J.","contributorId":99578,"corporation":false,"usgs":true,"family":"Wandrey","given":"C. J.","affiliations":[],"preferred":false,"id":455816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":455815,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70036581,"text":"70036581 - 2011 - Impacts of Land-Cover Change on Suspended Sediment Transport in Two Agricultural Watersheds","interactions":[],"lastModifiedDate":"2020-12-29T19:45:52.263098","indexId":"70036581","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":"Impacts of Land-Cover Change on Suspended Sediment Transport in Two Agricultural Watersheds","docAbstract":"Suspended sediment is a major water quality problem, yet few monitoring studies have been of sufficient scale and duration to assess the effectiveness of land-use change or conservation practice implementation at a watershed scale. Daily discharge and suspended sediment export from two 5,000-ha watersheds in central Iowa were monitored over a 10-year period (water years 1996-2005). In Walnut Creek watershed, a large portion of land was converted from row crop to native prairie, whereas in Squaw Creek land use remained predominantly row crop agriculture. Suspended sediment loads were similar in both watersheds, exhibiting flashy behavior typical of incised channels. Modeling suggested that expected total soil erosion in Walnut Creek should have been reduced 46% relative to Squaw Creek due to changes in land use, yet measured suspended sediment loads showed no significant differences. Stream mapping indicated that Walnut Creek had three times more eroding streambank lengths than did Squaw Creek suggesting that streambank erosion dominated sediment sources in Walnut Creek and sheet and rill sources dominated sediment sources in Squaw Creek. Our results demonstrate that an accounting of all sources of sediment erosion and delivery is needed to characterize sediment reductions in watershed projects combined with long-term, intensive monitoring and modeling to account for possible lag times in the manifestation of the benefits of conservation practices on water quality.
","language":"English","publisher":"American Water Resources Association","doi":"10.1111/j.1752-1688.2011.00533.x","issn":"1093474X","usgsCitation":"Schilling, K.E., Isenhart, T., Palmer, J., Wolter, C., and Spooner, J., 2011, Impacts of Land-Cover Change on Suspended Sediment Transport in Two Agricultural Watersheds: Journal of the American Water Resources Association, v. 47, no. 4, p. 672-686, https://doi.org/10.1111/j.1752-1688.2011.00533.x.","productDescription":"15 p.","startPage":"672","endPage":"686","costCenters":[],"links":[{"id":245540,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217587,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2011.00533.x"}],"country":"United States","state":"Iowa","county":"Jasper","otherGeospatial":"Walnut and Squaw Creek","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-93.234,41.8622],[-93.1187,41.8624],[-93.0035,41.8624],[-92.8845,41.8619],[-92.7674,41.8618],[-92.7683,41.776],[-92.768,41.6879],[-92.7683,41.6007],[-92.7567,41.6011],[-92.7564,41.509],[-92.8729,41.5082],[-92.9894,41.5083],[-93.1047,41.5078],[-93.2181,41.5076],[-93.3304,41.5074],[-93.3314,41.6004],[-93.3504,41.6004],[-93.3496,41.688],[-93.3494,41.7757],[-93.3492,41.8624],[-93.234,41.8622]]]},\"properties\":{\"name\":\"Jasper\",\"state\":\"IA\"}}]}","volume":"47","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-03-30","publicationStatus":"PW","scienceBaseUri":"505a38dde4b0c8380cd616fb","contributors":{"authors":[{"text":"Schilling, K. E.","contributorId":61982,"corporation":false,"usgs":true,"family":"Schilling","given":"K.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":456847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isenhart, T.M.","contributorId":76963,"corporation":false,"usgs":true,"family":"Isenhart","given":"T.M.","email":"","affiliations":[],"preferred":false,"id":456849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palmer, J.A.","contributorId":52807,"corporation":false,"usgs":true,"family":"Palmer","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":456846,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolter, C.F.","contributorId":23301,"corporation":false,"usgs":true,"family":"Wolter","given":"C.F.","email":"","affiliations":[],"preferred":false,"id":456845,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spooner, J.","contributorId":62816,"corporation":false,"usgs":true,"family":"Spooner","given":"J.","email":"","affiliations":[],"preferred":false,"id":456848,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70036265,"text":"70036265 - 2011 - OMEGA: The Ostracod metadatabase of environmental and geographical attributes","interactions":[],"lastModifiedDate":"2012-03-12T17:22:02","indexId":"70036265","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2133,"text":"Joannea - Geologie und Palaontologie","active":true,"publicationSubtype":{"id":10}},"title":"OMEGA: The Ostracod metadatabase of environmental and geographical attributes","docAbstract":"[No abstract available]","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Joannea - Geologie und Palaontologie","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"15629449","usgsCitation":"Horne, D., Brandon, C.B., Denis, D.L., Martens, K., Smith, A.J., and Smith, R.J., 2011, OMEGA: The Ostracod metadatabase of environmental and geographical attributes: Joannea - Geologie und Palaontologie, no. 11, p. 80-84.","startPage":"80","endPage":"84","numberOfPages":"5","costCenters":[],"links":[{"id":246505,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a69e4e4b0c8380cd73f65","contributors":{"authors":[{"text":"Horne, D.J.","contributorId":103031,"corporation":false,"usgs":true,"family":"Horne","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":455179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandon, Curry B.","contributorId":97752,"corporation":false,"usgs":true,"family":"Brandon","given":"Curry","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":455178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Denis, Delorme L.","contributorId":7122,"corporation":false,"usgs":true,"family":"Denis","given":"Delorme","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":455174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martens, K.","contributorId":47221,"corporation":false,"usgs":true,"family":"Martens","given":"K.","email":"","affiliations":[],"preferred":false,"id":455175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, A. J.","contributorId":67040,"corporation":false,"usgs":false,"family":"Smith","given":"A.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":455176,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, R. J.","contributorId":80678,"corporation":false,"usgs":true,"family":"Smith","given":"R.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":455177,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70036380,"text":"70036380 - 2011 - Long-term biases in geomagnetic K and aa indices","interactions":[],"lastModifiedDate":"2021-01-18T17:49:08.975942","indexId":"70036380","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":780,"text":"Annales Geophysicae","active":true,"publicationSubtype":{"id":10}},"title":"Long-term biases in geomagnetic K and aa indices","docAbstract":"Analysis is made of the geomagnetic-activity aa index and its source K-index data from groups of ground-based observatories in Britain, and Australia, 1868.0–2009.0, solar cycles 11–23. The K data show persistent biases, especially for high (low) K-activity levels at British (Australian) observatories. From examination of multiple subsets of the K data we infer that the biases are not predominantly the result of changes in observatory location, localized induced magnetotelluric currents, changes in magnetometer technology, or the modernization of K-value estimation methods. Instead, the biases appear to be artifacts of the latitude-dependent scaling used to assign K values to particular local levels of geomagnetic activity. The biases are not effectively removed by weighting factors used to estimate aa. We show that long-term averages of the aa index, such as annual averages, are dominated by medium-level geomagnetic activity levels having K values of 3 and 4.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/angeo-29-1365-2011","issn":"09927689","usgsCitation":"Love, J.J., 2011, Long-term biases in geomagnetic K and aa indices: Annales Geophysicae, v. 29, no. 8, p. 1365-1375, https://doi.org/10.5194/angeo-29-1365-2011.","productDescription":"11 p.","startPage":"1365","endPage":"1375","costCenters":[],"links":[{"id":475540,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/angeo-29-1365-2011","text":"Publisher Index Page"},{"id":246221,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218230,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/angeo-29-1365-2011"}],"volume":"29","issue":"8","noUsgsAuthors":false,"publicationDate":"2011-08-19","publicationStatus":"PW","scienceBaseUri":"505a4979e4b0c8380cd68632","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":455810,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70036267,"text":"70036267 - 2011 - Magnetic properties in an ash flow tuff with continuous grain size variation: a natural reference for magnetic particle granulometry","interactions":[],"lastModifiedDate":"2013-04-20T20:57:31","indexId":"70036267","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Magnetic properties in an ash flow tuff with continuous grain size variation: a natural reference for magnetic particle granulometry","docAbstract":"The Tiva Canyon Tuff contains dispersed nanoscale Fe-Ti-oxide grains with a narrow magnetic grain size distribution, making it an ideal material in which to identify and study grain-size-sensitive magnetic behavior in rocks. A detailed magnetic characterization was performed on samples from the basal 5 m of the tuff. The magnetic materials in this basal section consist primarily of (low-impurity) magnetite in the form of elongated submicron grains exsolved from volcanic glass. Magnetic properties studied include bulk magnetic susceptibility, frequency-dependent and temperature-dependent magnetic susceptibility, anhysteretic remanence acquisition, and hysteresis properties. The combined data constitute a distinct magnetic signature at each stratigraphic level in the section corresponding to different grain size distributions. The inferred magnetic domain state changes progressively upward from superparamagnetic grains near the base to particles with pseudo-single-domain or metastable single-domain characteristics near the top of the sampled section. Direct observations of magnetic grain size confirm that distinct transitions in room temperature magnetic susceptibility and remanence probably denote the limits of stable single-domain behavior in the section. These results provide a unique example of grain-size-dependent magnetic properties in noninteracting particle assemblages over three decades of grain size, including close approximations of ideal Stoner-Wohlfarth assemblages, and may be considered a useful reference for future rock magnetic studies involving grain-size-sensitive properties.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochemistry, Geophysics, Geosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1029/2011GC003648","issn":"15252027","usgsCitation":"Till, J., Jackson, M., Rosenbaum, J.G., and Solheid, P., 2011, Magnetic properties in an ash flow tuff with continuous grain size variation: a natural reference for magnetic particle granulometry: Geochemistry, Geophysics, Geosystems, v. 12, no. 7, Q07Z26, https://doi.org/10.1029/2011GC003648.","productDescription":"Q07Z26","costCenters":[],"links":[{"id":246507,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218490,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GC003648"}],"country":"United States","state":"Nevada","otherGeospatial":"Tiva Canyon Tuff","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,35.0 ], [ -120.0,42.0 ], [ -114.0,42.0 ], [ -114.0,35.0 ], [ -120.0,35.0 ] ] ] } } ] }","volume":"12","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-07-02","publicationStatus":"PW","scienceBaseUri":"505a4b7ce4b0c8380cd69598","contributors":{"authors":[{"text":"Till, J.L.","contributorId":94535,"corporation":false,"usgs":true,"family":"Till","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":455185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, M.J.","contributorId":106741,"corporation":false,"usgs":true,"family":"Jackson","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":455187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenbaum, J. G.","contributorId":96685,"corporation":false,"usgs":true,"family":"Rosenbaum","given":"J.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":455186,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Solheid, P.","contributorId":45943,"corporation":false,"usgs":true,"family":"Solheid","given":"P.","email":"","affiliations":[],"preferred":false,"id":455184,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036378,"text":"70036378 - 2011 - Rain pulse response of soil CO2 exchange by biological soil crusts and grasslands of the semiarid Colorado Plateau, United States","interactions":[],"lastModifiedDate":"2022-08-29T14:02:58.628236","indexId":"70036378","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2319,"text":"Journal of Geophysical Research G: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Rain pulse response of soil CO2 exchange by biological soil crusts and grasslands of the semiarid Colorado Plateau, United States","title":"Rain pulse response of soil CO2 exchange by biological soil crusts and grasslands of the semiarid Colorado Plateau, United States","docAbstract":"Biological activity in arid grasslands is strongly dependent on moisture. We examined gas exchange of biological soil crusts (biocrusts), the underlying soil biotic community, and the belowground respiratory activity of C3 and C4 grasses over 2 years in southeast Utah, USA. We used soil surface CO2 flux and the amount and carbon isotope composition (δ13C) of soil CO2 as indicators of belowground and soil surface activity. Soil respiration was always below 2 μmol m-2s-1 and highly responsive to soil moisture. When moisture was available, warm spring and summer temperature was associated with higher fluxes. Moisture pulses led to enhanced soil respiration lasting for a week or more. Biological response to rain was not simply dependent on the amount of rain, but also depended on antecedent conditions (prior moisture pulses). The short-term temperature sensitivity of respiration was very dynamic, showing enhancement within 1-2 days of rain, and diminishing each day afterward. Carbon uptake occurred by cyanobacterially dominated biocrusts following moisture pulses in fall and winter, with a maximal net carbon uptake of 0.5 μmol m-2s-1, although typically the biocrusts were a net carbon source. No difference was detected in the seasonal activity of C3 and C4 grasses, contrasting with studies from other arid regions (where warm- versus cool-season activity is important), and highlighting the unique biophysical environment of this cold desert. Contrary to other studies, the δ13C of belowground respiration in the rooting zone of each photosynthetic type did not reflect the δ13C of C3 and C4 physiology.","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1029/2011JG001643","usgsCitation":"Bowling, D.R., Grote, E.E., and Belnap, J., 2011, Rain pulse response of soil CO2 exchange by biological soil crusts and grasslands of the semiarid Colorado Plateau, United States: Journal of Geophysical Research G: Biogeosciences, v. 116, no. 3, G03028, 17 p., https://doi.org/10.1029/2011JG001643.","productDescription":"G03028, 17 p.","numberOfPages":"17","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":475427,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011jg001643","text":"Publisher Index Page"},{"id":246219,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Canyonlands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.3192138671875,\n 37.89219554724437\n ],\n [\n -109.6270751953125,\n 37.89219554724437\n ],\n [\n -109.6270751953125,\n 38.69408504756833\n ],\n [\n -110.3192138671875,\n 38.69408504756833\n ],\n [\n -110.3192138671875,\n 37.89219554724437\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"116","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-09-08","publicationStatus":"PW","scienceBaseUri":"505a9449e4b0c8380cd812f5","contributors":{"authors":[{"text":"Bowling, David R.","contributorId":48395,"corporation":false,"usgs":true,"family":"Bowling","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":455803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grote, Edmund E. 0000-0002-9103-9482 ed_grote@usgs.gov","orcid":"https://orcid.org/0000-0002-9103-9482","contributorId":4271,"corporation":false,"usgs":true,"family":"Grote","given":"Edmund","email":"ed_grote@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":455804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":455802,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70036374,"text":"70036374 - 2011 - Molecular detection of vertebrates in stream water: A demonstration using rocky mountain tailed frogs and Idaho giant salamanders","interactions":[],"lastModifiedDate":"2013-07-17T14:19:05","indexId":"70036374","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Molecular detection of vertebrates in stream water: A demonstration using rocky mountain tailed frogs and Idaho giant salamanders","docAbstract":"Stream ecosystems harbor many secretive and imperiled species, and studies of vertebrates in these systems face the challenges of relatively low detection rates and high costs. Environmental DNA (eDNA) has recently been confirmed as a sensitive and efficient tool for documenting aquatic vertebrates in wetlands and in a large river and canal system. However, it was unclear whether this tool could be used to detect low-density vertebrates in fast-moving streams where shed cells may travel rapidly away from their source. To evaluate the potential utility of eDNA techniques in stream systems, we designed targeted primers to amplify a short, species-specific DNA fragment for two secretive stream amphibian species in the northwestern region of the United States (Rocky Mountain tailed frogs, Ascaphus montanus, and Idaho giant salamanders, Dicamptodon aterrimus). We tested three DNA extraction and five PCR protocols to determine whether we could detect eDNA of these species in filtered water samples from five streams with varying densities of these species in central Idaho, USA. We successfully amplified and sequenced the targeted DNA regions for both species from stream water filter samples. We detected Idaho giant salamanders in all samples and Rocky Mountain tailed frogs in four of five streams and found some indication that these species are more difficult to detect using eDNA in early spring than in early fall. While the sensitivity of this method across taxa remains to be determined, the use of eDNA could revolutionize surveys for rare and invasive stream species. With this study, the utility of eDNA techniques for detecting aquatic vertebrates has been demonstrated across the majority of freshwater systems, setting the stage for an innovative transformation in approaches for aquatic research.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0022746","issn":"19326203","usgsCitation":"Goldberg, C., Pilliod, D., Arkle, R., and Waits, L., 2011, Molecular detection of vertebrates in stream water: A demonstration using rocky mountain tailed frogs and Idaho giant salamanders: PLoS ONE, v. 6, no. 7, e22746, https://doi.org/10.1371/journal.pone.0022746.","productDescription":"e22746","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":475354,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0022746","text":"Publisher Index Page"},{"id":218172,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0022746"},{"id":246157,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-07-26","publicationStatus":"PW","scienceBaseUri":"505a5cffe4b0c8380cd700bf","contributors":{"authors":[{"text":"Goldberg, C.S.","contributorId":39551,"corporation":false,"usgs":true,"family":"Goldberg","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":455784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, D. S.","contributorId":45259,"corporation":false,"usgs":false,"family":"Pilliod","given":"D. S.","affiliations":[],"preferred":false,"id":455785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arkle, R.S.","contributorId":86997,"corporation":false,"usgs":true,"family":"Arkle","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":455787,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waits, L.P.","contributorId":58987,"corporation":false,"usgs":true,"family":"Waits","given":"L.P.","email":"","affiliations":[],"preferred":false,"id":455786,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036271,"text":"70036271 - 2011 - Geology and petroleum potential of the Arctic Alaska petroleum province","interactions":[],"lastModifiedDate":"2021-01-20T18:02:38.113461","indexId":"70036271","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1784,"text":"Geological Society Memoir","active":true,"publicationSubtype":{"id":10}},"chapter":"32","title":"Geology and petroleum potential of the Arctic Alaska petroleum province","docAbstract":"The Arctic Alaska petroleum province encompasses all lands and adjacent continental shelf areas north of the Brooks Range–Herald Arch orogenic belt and south of the northern (outboard) margin of the Beaufort Rift shoulder. Even though only a small part is thoroughly explored, it is one of the most prolific petroleum provinces in North America with total known resources (cumulative production plus proved reserves) of c. 28 BBOE. The province constitutes a significant part of a displaced continental fragment, the Arctic Alaska microplate, that was probably rifted from the Canadian Arctic margin during formation of the Canada Basin. Petroleum prospective rocks in the province, mostly Mississippian and younger, record a sequential geological evolution through passive margin, rift and foreland basin tectonic stages. Significant petroleum source and reservoir rocks were formed during each tectonic stage but it was the foreland basin stage that provided the necessary burial heating to generate petroleum from the source rocks. The lion's share of known petroleum resources in the province occur in combination structural–stratigraphic traps formed as a consequence of rifting and located along the rift shoulder. Since the discovery of the super-giant Prudhoe Bay accumulation in one of these traps in the late 1960s, exploration activity preferentially focused on these types of traps. More recent activity, however, has emphasized the potential for stratigraphic traps and the prospect of a natural gas pipeline in this region has spurred renewed interest in structural traps. For assessment purposes, the province is divided into a Platform assessment unit (AU), comprising the Beaufort Rift shoulder and its relatively undeformed flanks, and a Fold-and-Thrust Belt AU, comprising the deformed area north of the Brooks Range and Herald Arch tectonic belt. Mean estimates of undiscovered, technically recoverable resources include nearly 28 billion barrels of oil (BBO) and 122 trillion cubic feet (TCF) of nonassociated gas in the Platform AU and 2 BBO and 59 TCF of nonassociated gas in the Fold-and-Thrust Belt AU.
","language":"English","publisher":"The Geological Society of London","doi":"10.1144/M35.32","issn":"04354052","usgsCitation":"Bird, K.J., and Houseknecht, D.W., 2011, Geology and petroleum potential of the Arctic Alaska petroleum province: Geological Society Memoir, no. 35, p. 485-499, https://doi.org/10.1144/M35.32.","productDescription":"15 p.","startPage":"485","endPage":"499","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":246572,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218551,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1144/M35.32"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Alaska Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -166.55273437499997,\n 68.13885164925573\n ],\n [\n -162.59765625,\n 68.26938680456564\n ],\n [\n -159.169921875,\n 68.8159271333607\n ],\n [\n -151.34765625,\n 69.03714171275197\n ],\n [\n -138.955078125,\n 68.43151284537514\n ],\n [\n -138.427734375,\n 69.68761843185617\n ],\n [\n -146.162109375,\n 71.07405646336098\n ],\n [\n -154.072265625,\n 72.01972876525514\n ],\n [\n -162.59765625,\n 72.39570570653261\n ],\n [\n -169.365234375,\n 72.04683989379397\n ],\n [\n -169.45312499999997,\n 68.75231494434473\n ],\n [\n -167.607421875,\n 67.7760253890732\n ],\n [\n -166.55273437499997,\n 68.13885164925573\n ]\n ]\n ]\n }\n }\n ]\n}","issue":"35","noUsgsAuthors":false,"publicationDate":"2011-08-05","publicationStatus":"PW","scienceBaseUri":"5059f46ae4b0c8380cd4bd03","contributors":{"authors":[{"text":"Bird, Kenneth J. kbird@usgs.gov","contributorId":1015,"corporation":false,"usgs":true,"family":"Bird","given":"Kenneth","email":"kbird@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":455201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":455200,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70036583,"text":"70036583 - 2011 - The use (and misuse) of sediment traps in coral reef environments: Theory, observations, and suggested protocols","interactions":[],"lastModifiedDate":"2017-11-05T09:09:53","indexId":"70036583","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"The use (and misuse) of sediment traps in coral reef environments: Theory, observations, and suggested protocols","docAbstract":"Sediment traps are commonly used as standard tools for monitoring “sedimentation” in coral reef environments. In much of the literature where sediment traps were used to measure the effects of “sedimentation” on corals, it is clear from deployment descriptions and interpretations of the resulting data that information derived from sediment traps has frequently been misinterpreted or misapplied. Despite their widespread use in this setting, sediment traps do not provide quantitative information about “sedimentation” on coral surfaces. Traps can provide useful information about the relative magnitude of sediment dynamics if trap deployment standards are used. This conclusion is based first on a brief review of the state of knowledge of sediment trap dynamics, which has primarily focused on traps deployed high above the seabed in relatively deep water, followed by our understanding of near-bed sediment dynamics in shallow-water environments that characterize coral reefs. This overview is followed by the first synthesis of near-bed sediment trap data collected with concurrent hydrodynamic information in coral reef environments. This collective information is utilized to develop nine protocols for using sediment traps in coral reef environments, which focus on trap parameters that researchers can control such as trap height (H), trap mouth diameter (D), the height of the trap mouth above the substrate (z o ), and the spacing between traps. The hydrodynamic behavior of sediment traps and the limitations of data derived from these traps should be forefront when interpreting sediment trap data to infer sediment transport processes in coral reef environments.","language":"English","publisher":"Springer","doi":"10.1007/s00338-010-0705-3","issn":"07224028","usgsCitation":"Storlazzi, C., Field, M., and Bothner, M., 2011, The use (and misuse) of sediment traps in coral reef environments: Theory, observations, and suggested protocols: Coral Reefs, v. 30, no. 1, p. 23-38, https://doi.org/10.1007/s00338-010-0705-3.","productDescription":"16 p.","startPage":"23","endPage":"38","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":475297,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00338-010-0705-3","text":"Publisher Index Page"},{"id":245572,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-12-17","publicationStatus":"PW","scienceBaseUri":"505bb157e4b08c986b3252df","contributors":{"authors":[{"text":"Storlazzi, C. D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":98905,"corporation":false,"usgs":true,"family":"Storlazzi","given":"C. D.","affiliations":[],"preferred":false,"id":456854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Field, M.E.","contributorId":27052,"corporation":false,"usgs":true,"family":"Field","given":"M.E.","affiliations":[],"preferred":false,"id":456852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bothner, Michael H. mbothner@usgs.gov","contributorId":139855,"corporation":false,"usgs":true,"family":"Bothner","given":"Michael H.","email":"mbothner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":456853,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70036361,"text":"70036361 - 2011 - Improving occupancy estimation when two types of observational error occur: Non-detection and species misidentification","interactions":[],"lastModifiedDate":"2021-01-18T19:05:27.584579","indexId":"70036361","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Improving occupancy estimation when two types of observational error occur: Non-detection and species misidentification","docAbstract":"Efforts to draw inferences about species occurrence frequently account for false negatives, the common situation when individuals of a species are not detected even when a site is occupied. However, recent studies suggest the need to also deal with false positives, which occur when species are misidentified so that a species is recorded as detected when a site is unoccupied. Bias in estimators of occupancy, colonization, and extinction can be severe when false positives occur. Accordingly, we propose models that simultaneously account for both types of error. Our approach can be used to improve estimates of occupancy for study designs where a subset of detections is of a type or method for which false positives can be assumed to not occur. We illustrate properties of the estimators with simulations and data for three species of frogs. We show that models that account for possible misidentification have greater support (lower AIC for two species) and can yield substantially different occupancy estimates than those that do not. When the potential for misidentification exists, researchers should consider analytical techniques that can account for this source of error, such as those presented here.
","language":"English","publisher":"The Ecological Society of America","doi":"10.1890/10-1396.1","issn":"00129658","usgsCitation":"Miller, D., Nichols, J.D., McClintock, B., Campbell Grant, E.H., Bailey, L., and Weir, L., 2011, Improving occupancy estimation when two types of observational error occur: Non-detection and species misidentification: Ecology, v. 92, no. 7, p. 1422-1428, https://doi.org/10.1890/10-1396.1.","productDescription":"7 p.","startPage":"1422","endPage":"1428","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":475542,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/10-1396.1","text":"Publisher Index Page"},{"id":246443,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218435,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/10-1396.1"}],"volume":"92","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3978e4b0c8380cd61925","contributors":{"authors":[{"text":"Miller, David 0000-0002-3011-3677 davidmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-3011-3677","contributorId":200215,"corporation":false,"usgs":true,"family":"Miller","given":"David","email":"davidmiller@usgs.gov","affiliations":[],"preferred":true,"id":455731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":455728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McClintock, B.T.","contributorId":29108,"corporation":false,"usgs":true,"family":"McClintock","given":"B.T.","email":"","affiliations":[],"preferred":false,"id":455730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":455733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bailey, L.L. 0000-0002-5959-2018","orcid":"https://orcid.org/0000-0002-5959-2018","contributorId":61006,"corporation":false,"usgs":true,"family":"Bailey","given":"L.L.","affiliations":[],"preferred":false,"id":455732,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weir, L.A.","contributorId":20855,"corporation":false,"usgs":true,"family":"Weir","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":455729,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70036584,"text":"70036584 - 2011 - Reduction of structural Fe(III) in nontronite by methanogen Methanosarcina barkeri","interactions":[],"lastModifiedDate":"2020-12-29T19:20:55.08918","indexId":"70036584","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Reduction of structural Fe(III) in nontronite by methanogen Methanosarcina barkeri","docAbstract":"Clay minerals and methanogens are ubiquitous and co-exist in anoxic environments, yet it is unclear whether methanogens are able to reduce structural Fe(III) in clay minerals. In this study, the ability of methanogen Methanosarcina barkeri to reduce structural Fe(III) in iron-rich smectite (nontronite NAu-2) and the relationship between iron reduction and methanogenesis were investigated. Bioreduction experiments were conducted in growth medium using three types of substrate: H2/CO2, methanol, and acetate. Time course methane production and hydrogen consumption were measured by gas chromatography. M. barkeri was able to reduce structural Fe(III) in NAu-2 with H2/CO2 and methanol as substrate, but not with acetate. The extent of bioreduction, as measured by the 1,10-phenanthroline method, was 7–13% with H2/CO2 as substrate, depending on nontronite concentration (5–10 g/L). The extent was higher when methanol was used as a substrate, reaching 25–33%. Methanogenesis was inhibited by Fe(III) reduction in the H2/CO2 culture, but enhanced when methanol was used. High charge smectite and biogenic silica formed as a result of bioreduction. Our results suggest that methanogens may play an important role in biogeochemical cycling of iron in clay minerals and may have important implications for the global methane budget.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2010.11.009","issn":"00167037","usgsCitation":"Liu, D., Dong, H.H., Bishop, M., Wang, H., Agrawal, A., Tritschler, S., Eberl, D.D., and Xie, S., 2011, Reduction of structural Fe(III) in nontronite by methanogen Methanosarcina barkeri: Geochimica et Cosmochimica Acta, v. 75, no. 4, p. 1057-1071, https://doi.org/10.1016/j.gca.2010.11.009.","productDescription":"15 p.","startPage":"1057","endPage":"1071","costCenters":[],"links":[{"id":245602,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217645,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2010.11.009"}],"volume":"75","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a3e6e4b0e8fec6cdba0c","contributors":{"authors":[{"text":"Liu, D.","contributorId":97333,"corporation":false,"usgs":true,"family":"Liu","given":"D.","affiliations":[],"preferred":false,"id":456861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dong, Hailiang H.","contributorId":58873,"corporation":false,"usgs":true,"family":"Dong","given":"Hailiang","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":456857,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bishop, M.E.","contributorId":68974,"corporation":false,"usgs":true,"family":"Bishop","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":456859,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Hongfang","contributorId":92635,"corporation":false,"usgs":true,"family":"Wang","given":"Hongfang","email":"","affiliations":[],"preferred":false,"id":456860,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Agrawal, A.","contributorId":43601,"corporation":false,"usgs":true,"family":"Agrawal","given":"A.","email":"","affiliations":[],"preferred":false,"id":456856,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tritschler, S.","contributorId":101122,"corporation":false,"usgs":true,"family":"Tritschler","given":"S.","email":"","affiliations":[],"preferred":false,"id":456862,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eberl, D. D.","contributorId":66282,"corporation":false,"usgs":true,"family":"Eberl","given":"D.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":456858,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Xie, S.","contributorId":10235,"corporation":false,"usgs":true,"family":"Xie","given":"S.","email":"","affiliations":[],"preferred":false,"id":456855,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70036359,"text":"70036359 - 2011 - Storms, floods, and the science of atmospheric rivers","interactions":[],"lastModifiedDate":"2012-03-12T17:22:03","indexId":"70036359","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"Storms, floods, and the science of atmospheric rivers","docAbstract":"Imagine a stream of water thousands of kilometers long and as wide as the distance between New York City and Washington, D. C., flowing toward you at 30 miles per hour. No, this is not some hypothetical physics problemit is a real river, carrying more water than 7-15 Mississippi Rivers combined. But it is not on land. It's a river of water vapor in the atmosphere. Atmospheric rivers (ARs) are narrow corridors of water vapor transport in the lower atmosphere that traverse long swaths of the Earth's surface as they bind together the atmospheric water cycle (Figure 1). The characteristic (indeed defining) dimensions of these ARs are (1) integrated water vapor (IWV) concentrations such that if all the vapor in the atmospheric column were condensed into liquid water, the result would be a layer 2 or more centimeters thick; (2) wind speeds of greater than 12.5 meters per second in the lowest 2 kilometers; and (3) a shape that is long and narrow, no more than 400-500 kilometers wide, and extending for thousands of kilometers, sometimes across entire ocean basins.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Eos, Transactions American Geophysical Union","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2011EO320001","issn":"00963941","usgsCitation":"Ralph, F., and Dettinger, M.D., 2011, Storms, floods, and the science of atmospheric rivers: Eos, Transactions, American Geophysical Union, v. 92, no. 32, p. 265-266, https://doi.org/10.1029/2011EO320001.","startPage":"265","endPage":"266","numberOfPages":"2","costCenters":[],"links":[{"id":488022,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011eo320001","text":"Publisher Index Page"},{"id":246407,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218405,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011EO320001"}],"volume":"92","issue":"32","noUsgsAuthors":false,"publicationDate":"2011-08-09","publicationStatus":"PW","scienceBaseUri":"505b9887e4b08c986b31c082","contributors":{"authors":[{"text":"Ralph, F.M.","contributorId":39174,"corporation":false,"usgs":true,"family":"Ralph","given":"F.M.","email":"","affiliations":[],"preferred":false,"id":455721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dettinger, M. D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":93069,"corporation":false,"usgs":false,"family":"Dettinger","given":"M.","middleInitial":"D.","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":455722,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70036272,"text":"70036272 - 2011 - Host and viral ecology determine bat rabies seasonality and maintenance","interactions":[],"lastModifiedDate":"2012-03-12T17:22:02","indexId":"70036272","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Host and viral ecology determine bat rabies seasonality and maintenance","docAbstract":"Rabies is an acute viral infection that is typically fatal. Most rabies modeling has focused on disease dynamics and control within terrestrial mammals (e.g., raccoons and foxes). As such, rabies in bats has been largely neglected until recently. Because bats have been implicated as natural reservoirs for several emerging zoonotic viruses, including SARS-like corona viruses, henipaviruses, and lyssaviruses, understanding how pathogens are maintained within a population becomes vital. Unfortunately, little is known about maintenance mechanisms for any pathogen in bat populations. We present a mathematical model parameterized with unique data from an extensive study of rabies in a Colorado population of big brown bats (Eptesicus fuscus) to elucidate general maintenance mechanisms. We propose that life history patterns of many species of temperate-zone bats, coupled with sufficiently long incubation periods, allows for rabies virus maintenance. Seasonal variability in bat mortality rates, specifically low mortality during hibernation, allows long-term bat population viability. Within viable bat populations, sufficiently long incubation periods allow enough infected individuals to enter hibernation and survive until the following year, and hence avoid an epizootic fadeout of rabies virus. We hypothesize that the slowing effects of hibernation on metabolic and viral activity maintains infected individuals and their pathogens until susceptibles from the annual birth pulse become infected and continue the cycle. This research provides a context to explore similar host ecology and viral dynamics that may explain seasonal patterns and maintenance of other bat-borne diseases.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the National Academy of Sciences of the United States of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1073/pnas.1010875108","issn":"00278424","usgsCitation":"George, D., Webb, C., Farnsworth, M.L., O'Shea, T., Bowen, R.A., Smith, D., Stanley, T., Ellison, L., and Rupprecht, C.E., 2011, Host and viral ecology determine bat rabies seasonality and maintenance: Proceedings of the National Academy of Sciences of the United States of America, v. 108, no. 25, p. 10208-10213, https://doi.org/10.1073/pnas.1010875108.","startPage":"10208","endPage":"10213","numberOfPages":"6","costCenters":[],"links":[{"id":475263,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://europepmc.org/articles/pmc3121824","text":"External Repository"},{"id":218575,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1073/pnas.1010875108"},{"id":246600,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"25","noUsgsAuthors":false,"publicationDate":"2011-06-06","publicationStatus":"PW","scienceBaseUri":"505a322ce4b0c8380cd5e5a5","contributors":{"authors":[{"text":"George, D.B.","contributorId":17865,"corporation":false,"usgs":true,"family":"George","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":455202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, C.T.","contributorId":84199,"corporation":false,"usgs":true,"family":"Webb","given":"C.T.","affiliations":[],"preferred":false,"id":455208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farnsworth, Matthew L.","contributorId":56473,"corporation":false,"usgs":false,"family":"Farnsworth","given":"Matthew","email":"","middleInitial":"L.","affiliations":[{"id":12434,"text":"USDA, Wildlife Services, National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":455205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O'Shea, T. 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