The Fecal Bacteria offers a balanced, integrated discussion of fecal bacteria and their presence and ecology in the intestinal tract of mammals, in the environment, and in the food supply. This new volume covers their use in examining and assessing water quality in order to offer protection from illnesses related to swimming in or ingesting contaminated water, in addition to discussing their use in engineering considerations of water quality, modeling, monitoring, and regulations. Fecal bacteria are additionally used as indicators of contamination of ready-to-eat foods and fresh produce. The intestinal environment, the microbial community structure of the gut microbiota, and the physiology and genomics of this broad group of microorganisms are explored in the book.
With contributions from an internationally recognized group of experts, the book integrates medicine, public health, environmental, and microbiological topics in order to provide a unique, holistic understanding of fecal bacteria. Moreover, it shows how the latest basic science and applied research findings are helping to solve problems and develop effective management strategies. For example, readers will discover how the latest tools and molecular approaches have led to our current understanding of fecal bacteria and enabled us to improve human health and water quality.
The Fecal Bacteria is recommended for microbiologists, clinicians, animal scientists, engineers, environmental scientists, food safety experts, water quality managers, and students. It will help them better understand fecal bacteria and use their knowledge to protect human and environmental health. They can also apply many of the techniques and molecular tools discussed in this book to the study of a broad range of microorganisms in a variety of habitats.
","language":"English","publisher":"ASM Press","publisherLocation":"Washington, D.C.","doi":"10.1128/9781555816865","isbn":"9781555816087","usgsCitation":"2011, The fecal bacteria, 328 p., https://doi.org/10.1128/9781555816865.","productDescription":"328 p.","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":269163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51404e96e4b089809dbf44ff","contributors":{"editors":[{"text":"Sadowsky, Michael J.","contributorId":34003,"corporation":false,"usgs":false,"family":"Sadowsky","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":742731,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":742732,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}} ,{"id":70042832,"text":"70042832 - 2011 - Factors governing risk of cougar attacks on humans","interactions":[],"lastModifiedDate":"2021-02-26T15:14:08.550364","indexId":"70042832","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1914,"text":"Human-Wildlife Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Factors governing risk of cougar attacks on humans","docAbstract":"Since the 1980s wildlife managers in the United States and Canada have expressed increasing concern about the physical threat posed by cougars (Puma concolor) to humans. We developed a conceptual framework and analyzed 386 human– cougar encounters (29 fatal attacks, 171 instances of nonfatal contact, and 186 close-threatening encounters) to provide information relevant to public safety. We conceived of human injury and death as the outcome of 4 transitions affected by different suites of factors: (1) a human encountering a cougar: (2) given an encounter, odds that the cougar would be aggressive; (3) given aggression, odds that the cougar would attack; and (4) given an attack, odds that the human would die. We developed multivariable logistic regression models to explain variation in odds at transitions three and four using variables pertaining to characteristics of involved people and cougars. Young (≤2.5 years) or unhealthy (by weight, condition, or disease) cougars were more likely than any others to be involved in close (typically m) encounters that threatened the involved person. Of cougars in close encounters, females were more likely than males to attack, and of attacking animals, adults were more likely than juveniles to kill the victim (32% versus 9% fatality, respectively). During close encounters, victims who used a weapon killed the involved cougar in 82% of cases. Other mitigating behaviors (e.g., yelling, backing away, throwing objects, increasing stature) also substantially lessened odds of attack. People who were moving quickly or erratically when an encounter happened (running, playing, skiing, snowshoeing, biking, ATV-riding) were more likely to be attacked and killed compared to people who were less active (25% versus 8% fatality). Children (≤10 years) were more likely than single adults to be attacked, but intervention by people of any age reduced odds of a child’s death by 4.6×. Overall, cougar attacks on people in Canada and the United States were rare (currently 4 to 6/year) compared to attacks by large felids and wolves (Canis lupus) in Africa and Asia (hundreds to thousands/year).
","language":"English","publisher":"Berryman Institute","doi":"10.26077/sey6-hq10","usgsCitation":"Mattson, D., Logan, K., and Sweanor, L., 2011, Factors governing risk of cougar attacks on humans: Human-Wildlife Interactions, v. 5, no. 1, p. 135-158, https://doi.org/10.26077/sey6-hq10.","productDescription":"24 p.","startPage":"135","endPage":"158","ipdsId":"IP-016877","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":272270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd58fde4b0b290850f870f","contributors":{"authors":[{"text":"Mattson, David","contributorId":75047,"corporation":false,"usgs":true,"family":"Mattson","given":"David","affiliations":[],"preferred":false,"id":472363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Logan, Kenneth","contributorId":18657,"corporation":false,"usgs":true,"family":"Logan","given":"Kenneth","affiliations":[],"preferred":false,"id":472361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sweanor, Linda","contributorId":53274,"corporation":false,"usgs":true,"family":"Sweanor","given":"Linda","affiliations":[],"preferred":false,"id":472362,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042171,"text":"70042171 - 2011 - Modeling fate and transport of fecal bacteria in surface water","interactions":[],"lastModifiedDate":"2013-03-12T14:04:09","indexId":"70042171","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Modeling fate and transport of fecal bacteria in surface water","docAbstract":"This chapter provides a basic review of deterministic and empirical statistical modelling and their application for predicting microbiological surface water quality.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The fecal bacteria","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"ASM Press","publisherLocation":"Washington, D.C.","usgsCitation":"Nevers, M.B., and Boehm, A., 2011, Modeling fate and transport of fecal bacteria in surface water, chap. of The fecal bacteria, p. 165-188.","productDescription":"24 p.","startPage":"165","endPage":"188","ipdsId":"IP-016915","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":269000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51404e82e4b089809dbf4490","contributors":{"editors":[{"text":"Sadowsky, Michael J.","contributorId":34003,"corporation":false,"usgs":false,"family":"Sadowsky","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":509115,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":509114,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Nevers, Meredith B.","contributorId":91803,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":470893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boehm, Alexandria B.","contributorId":51616,"corporation":false,"usgs":true,"family":"Boehm","given":"Alexandria B.","affiliations":[],"preferred":false,"id":470892,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70043573,"text":"70043573 - 2011 - Multi-species attributes as the condition for adaptive sampling of rare species using two-stage sequential sampling with an auxiliary variable","interactions":[],"lastModifiedDate":"2013-03-25T13:42:53","indexId":"70043573","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Multi-species attributes as the condition for adaptive sampling of rare species using two-stage sequential sampling with an auxiliary variable","docAbstract":"Assessing populations of rare species is challenging because of the large effort required to locate patches of occupied habitat and achieve precise estimates of density and abundance. The presence of a rare species has been shown to be correlated with presence or abundance of more common species. Thus, ecological community richness or abundance can be used to inform sampling of rare species. Adaptive sampling designs have been developed specifically for rare and clustered populations and have been applied to a wide range of rare species. However, adaptive sampling can be logistically challenging, in part, because variation in final sample size introduces uncertainty in survey planning. Two-stage sequential sampling (TSS), a recently developed design, allows for adaptive sampling, but avoids edge units and has an upper bound on final sample size. In this paper we present an extension of two-stage sequential sampling that incorporates an auxiliary variable (TSSAV), such as community attributes, as the condition for adaptive sampling. We develop a set of simulations to approximate sampling of endangered freshwater mussels to evaluate the performance of the TSSAV design. The performance measures that we are interested in are efficiency and probability of sampling a unit occupied by the rare species. Efficiency measures the precision of population estimate from the TSSAV design relative to a standard design, such as simple random sampling (SRS). The simulations indicate that the density and distribution of the auxiliary population is the most important determinant of the performance of the TSSAV design. Of the design factors, such as sample size, the fraction of the primary units sampled was most important. For the best scenarios, the odds of sampling the rare species was approximately 1.5 times higher for TSSAV compared to SRS and efficiency was as high as 2 (i.e., variance from TSSAV was half that of SRS). We have found that design performance, especially for adaptive designs, is often case-specific. Efficiency of adaptive designs is especially sensitive to spatial distribution. We recommend that simulations tailored to the application of interest are highly useful for evaluating designs in preparation for sampling rare and clustered populations.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"MODSIM2011, 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2011","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"MSSANZ","publisherLocation":"http://www.mssanz.org.au/index.html","usgsCitation":"Panahbehagh, B., Smith, D., Salehi, M., Hornbach, D., and Brown, D., 2011, Multi-species attributes as the condition for adaptive sampling of rare species using two-stage sequential sampling with an auxiliary variable, in MODSIM2011, 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2011, p. 2093-2099.","productDescription":"7 p.","startPage":"2093","endPage":"2099","ipdsId":"IP-032634","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":270009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270008,"type":{"id":11,"text":"Document"},"url":"https://www.mssanz.org.au/modsim2011/E7/panahbehagh.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51517210e4b087909f0bbf09","contributors":{"editors":[{"text":"Chan, F.","contributorId":95797,"corporation":false,"usgs":false,"family":"Chan","given":"F.","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":509213,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Marinova, D.","contributorId":112533,"corporation":false,"usgs":true,"family":"Marinova","given":"D.","email":"","affiliations":[],"preferred":false,"id":509215,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Anderssen, R.S.","contributorId":111678,"corporation":false,"usgs":true,"family":"Anderssen","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":509214,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Panahbehagh, B.","contributorId":45598,"corporation":false,"usgs":true,"family":"Panahbehagh","given":"B.","affiliations":[],"preferred":false,"id":473866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, D. 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R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":473865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Salehi, M.M.","contributorId":14210,"corporation":false,"usgs":true,"family":"Salehi","given":"M.M.","email":"","affiliations":[],"preferred":false,"id":473864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hornbach, D.J.","contributorId":100781,"corporation":false,"usgs":true,"family":"Hornbach","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":473867,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, D.J.","contributorId":106700,"corporation":false,"usgs":true,"family":"Brown","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":473868,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70042306,"text":"70042306 - 2011 - Bioenergetics in ecosystems","interactions":[],"lastModifiedDate":"2013-04-15T18:30:49","indexId":"70042306","displayToPublicDate":"2012-12-13T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Bioenergetics in ecosystems","docAbstract":"A bioenergetics model for a fish can be defined as a quantitative description of the fish’s energy budget. Bioenergetics modeling can be applied to a fish population in a lake, river, or ocean to estimate the annual consumption of food by the fish population; such applications have proved to be useful in managing fisheries. In addition, bioenergetics models have been used to better understand fish growth and consumption in ecosystems, to determine the importance of the role of fish in cycling nutrients within ecosystems, and to identify the important factors regulating contaminant accumulation in fish from lakes, rivers, and oceans.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of fish physiology: from genome to environment","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Academic Press","publisherLocation":"San Diego, CA","doi":"10.1016/B978-0-12-374553-8.00153-2","collaboration":"Chapter of ENERGETIC MODELS in Encyclopedia of fish physiology: from genome to environment, volume 3","usgsCitation":"Madenjian, C.P., 2011, Bioenergetics in ecosystems, chap. of Encyclopedia of fish physiology: from genome to environment, v. 3, p. 1675-1680, https://doi.org/10.1016/B978-0-12-374553-8.00153-2.","productDescription":"6 p.","startPage":"1675","endPage":"1680","ipdsId":"IP-025037","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":270957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":265039,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/B978-0-12-374553-8.00153-2"}],"volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516d2168e4b0411d430a89f3","contributors":{"editors":[{"text":"Farrell, Anthony P.","contributorId":112534,"corporation":false,"usgs":true,"family":"Farrell","given":"Anthony P.","affiliations":[],"preferred":false,"id":509150,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471241,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70042177,"text":"70042177 - 2011 - Methane hydrates and the future of natural gas","interactions":[],"lastModifiedDate":"2018-02-28T15:37:33","indexId":"70042177","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Methane hydrates and the future of natural gas","docAbstract":"For decades, gas hydrates have been discussed as a potential resource, particularly for countries with limited access to conventional hydrocarbons or a strategic interest in establishing alternative, unconventional gas reserves. Methane has never been produced from gas hydrates at a commercial scale and, barring major changes in the economics of natural gas supply and demand, commercial production at a large scale is considered unlikely to commence within the next 15 years. Given the overall uncertainty still associated with gas hydrates as a potential resource, they have not been included in the EPPA model in MITEI’s Future of Natural Gas report. Still, gas hydrates remain a potentially large methane resource and must necessarily be included in any consideration of the natural gas supply beyond two decades from now.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The future of natural gas: an interdisciplinary MIT study","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"MIT Energy Initiative","publisherLocation":"Cambridge, MA","usgsCitation":"Ruppel, C., 2011, Methane hydrates and the future of natural gas, Supplemental Paper 2.4: 25 p.","productDescription":"Supplemental Paper 2.4: 25 p.","startPage":"1","endPage":"25","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-030224","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":264980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264978,"type":{"id":15,"text":"Index Page"},"url":"https://mitei.mit.edu/publications/reports-studies/future-natural-gas"},{"id":264976,"type":{"id":11,"text":"Document"},"url":"https://mitei.mit.edu/system/files/Supplementary_Paper_SP_2_4_Hydrates.pdf"}],"publicComments":"This article is Supplemental Paper 2.4 of Appendix 2 in Chapter 2 in The future of natural gas: an interdisciplinary MIT study.","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e5d16be4b0a4aa5bb0b27f","contributors":{"authors":[{"text":"Ruppel, Carolyn cruppel@usgs.gov","contributorId":2015,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":470903,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70042031,"text":"70042031 - 2011 - Landscape models of brook trout abundance and distribution in lotic habitat with field validation","interactions":[],"lastModifiedDate":"2012-12-28T12:02:51","indexId":"70042031","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Landscape models of brook trout abundance and distribution in lotic habitat with field validation","docAbstract":"Brook trout Salvelinus fontinalis are native fish in decline owing to environmental changes. Predictions of their potential distribution and a better understanding of their relationship to habitat conditions would enhance the management and conservation of this valuable species. We used over 7,800 brook trout observations throughout New York State and georeferenced, multiscale landscape condition data to develop four regionally specific artificial neural network models to predict brook trout abundance in rivers and streams. Land cover data provided a general signature of human activity, but other habitat variables were resistant to anthropogenic changes (i.e., changing on a geological time scale). The resulting models predict the potential for any stream to support brook trout. The models were validated by holding 20% of the data out as a test set and by comparison with additional field collections from a variety of habitat types. The models performed well, explaining more than 90% of data variability. Errors were often associated with small spatial displacements of predicted values. When compared with the additional field collections (39 sites), 92% of the predictions were off by only a single class from the field-observed abundances. Among “least-disturbed” field collection sites, all predictions were correct or off by a single abundance class, except for one where brown trout Salmo trutta were present. Other degrading factors were evident at most sites where brook trout were absent or less abundant than predicted. The most important habitat variables included landscape slope, stream and drainage network sizes, water temperature, and extent of forest cover. Predicted brook trout abundances were applied to all New York streams, providing a synoptic map of the distribution of brook trout habitat potential. These fish models set benchmarks of best potential for streams to support brook trout under broad-scale human influences and can assist with planning and identification of protection or rehabilitation sites.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis Group","publisherLocation":"London, UK","doi":"10.1080/02755947.2011.593940","usgsCitation":"McKenna, J., and Johnson, J.H., 2011, Landscape models of brook trout abundance and distribution in lotic habitat with field validation: North American Journal of Fisheries Management, v. 31, no. 4, p. 742-756, https://doi.org/10.1080/02755947.2011.593940.","productDescription":"15 p.","startPage":"742","endPage":"756","ipdsId":"IP-023753","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":264883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264882,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2011.593940"}],"country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.7621,40.5 ], [ -79.7621,45.0 ], [ -71.8563,45.0 ], [ -71.8563,40.5 ], [ -79.7621,40.5 ] ] ] } } ] }","volume":"31","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-09-08","publicationStatus":"PW","scienceBaseUri":"50df6e6fe4b0dfbe79e6c506","contributors":{"authors":[{"text":"McKenna, James E. Jr.","contributorId":56992,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","suffix":"Jr.","affiliations":[],"preferred":false,"id":470637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":470636,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70041600,"text":"70041600 - 2011 - Global Positioning System constraints on crustal deformation before and during the 21 February 2008 Wells, Nevada M6.0 earthquake","interactions":[],"lastModifiedDate":"2018-02-28T16:11:57","indexId":"70041600","displayToPublicDate":"2012-11-26T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":125,"text":"Nevada Bureau of Mines and Geology Special Publication","active":false,"publicationSubtype":{"id":2}},"seriesNumber":"36","title":"Global Positioning System constraints on crustal deformation before and during the 21 February 2008 Wells, Nevada M6.0 earthquake","docAbstract":"Using Global Positioning System (GPS) data from permanent sites and U.S. Geological Survey (USGS) campaign data \nwe have estimated co-seismic displacements and secular background crustal deformation patterns associated with the 21 \nFebruary 2008 Wells Nevada earthquake. Estimated displacements at nearby permanent GPS sites ELKO (84 km distant) \nand GOSH (81 km distant) are 1.0±0.2 mm and 1.1±0.3 mm, respectively. The magnitude and direction are in agreement \nwith those predicted from a rupture model based on InSAR measurements of the near-field co-seismic surface \ndisplacement. Analysis of long GPS time series (>10 years) from the permanent sites within 250 km of the epicenter \nindicate the eastern Nevada Basin and Range undergoes steady tectonic transtension with rates on the order of 1 mm/year \nover approximately 250 km. The azimuth of maximum horizontal crustal extension is consistent with the azimuth of the \nWells earthquake co-seismic slip vector. The orientation of crustal shear is consistent with deformation associated with \nPacific/North America plate boundary relative motion seen elsewhere in the Basin and Range. In response to the event, we \ndeployed a new GPS site with the capability to telemeter high rate, low latency data that will in the future allow for rapid \nestimation of surface displacement should aftershocks or postseismic deformations occur. We estimated co-seismic \ndisplacements using campaign GPS data collected before and after the event, however in most cases their uncertainties \nwere larger than the offsets. Better precision in co-seismic displacement could have been achieved for the campaign sites if \nthey had been surveyed more times or over a longer interval to better estimate their pre-event velocity.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The 21 February 2008 Mw 6.0 Wells, Nevada earthquake: A compendium of earthquake-related investigations prepared by the University of Nevada, Reno ","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"Nevada Bureau of Mines and Geology","publisherLocation":"Reno, NV","usgsCitation":"Hammond, W.C., Blewitt, G., Kreemer, C., Murray-Moraleda, J.R., and Svarc, J.L., 2011, Global Positioning System constraints on crustal deformation before and during the 21 February 2008 Wells, Nevada M6.0 earthquake: Nevada Bureau of Mines and Geology Special Publication 36, 16 p.","productDescription":"16 p.","startPage":"181","endPage":"196","additionalOnlineFiles":"N","ipdsId":"IP-012616","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":263899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352150,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.nbmg.unr.edu/The-2008-Wells-earthquake-p/sp036.htm"}],"country":"United States","state":"Nevada","city":"Wells","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.1857,39.8929 ], [ -117.1857,42.0656 ], [ -111.9672,42.0656 ], [ -111.9672,39.8929 ], [ -117.1857,39.8929 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c71285e4b0ebb3997466e9","contributors":{"editors":[{"text":"dePolo, Craig M.","contributorId":112629,"corporation":false,"usgs":true,"family":"dePolo","given":"Craig","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":509110,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"LaPointe, Daphne D.","contributorId":112148,"corporation":false,"usgs":true,"family":"LaPointe","given":"Daphne","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":509109,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Hammond, William C.","contributorId":73735,"corporation":false,"usgs":true,"family":"Hammond","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":469979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blewitt, Geoffrey","contributorId":47660,"corporation":false,"usgs":true,"family":"Blewitt","given":"Geoffrey","email":"","affiliations":[],"preferred":false,"id":469978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreemer, Corne","contributorId":15902,"corporation":false,"usgs":true,"family":"Kreemer","given":"Corne","email":"","affiliations":[],"preferred":false,"id":469976,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murray-Moraleda, Jessica R.","contributorId":23649,"corporation":false,"usgs":true,"family":"Murray-Moraleda","given":"Jessica","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":469977,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Svarc, Jerry L. 0000-0002-2802-4528 jsvarc@usgs.gov","orcid":"https://orcid.org/0000-0002-2802-4528","contributorId":2413,"corporation":false,"usgs":true,"family":"Svarc","given":"Jerry","email":"jsvarc@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":469975,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70006177,"text":"ds633 - 2011 - A Geo-referenced 3D model of the Juan de Fuca Slab and associated seismicity","interactions":[],"lastModifiedDate":"2013-05-01T20:40:09","indexId":"ds633","displayToPublicDate":"2012-11-08T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"633","title":"A Geo-referenced 3D model of the Juan de Fuca Slab and associated seismicity","docAbstract":"We present a Geographic Information System (GIS) of a new 3-dimensional (3D) model of the subducted Juan de Fuca Plate beneath western North America and associated seismicity of the Cascadia subduction system. The geo-referenced 3D model was constructed from weighted control points that integrate depth information from hypocenter locations and regional seismic velocity studies. We used the 3D model to differentiate earthquakes that occur above the Juan de Fuca Plate surface from earthquakes that occur below the plate surface. This GIS project of the Cascadia subduction system supersedes the one previously published by McCrory and others (2006). Our new slab model updates the model with new constraints. The most significant updates to the model include: (1) weighted control points to incorporate spatial uncertainty, (2) an additional gridded slab surface based on the Generic Mapping Tools (GMT) Surface program which constructs surfaces based on splines in tension (see expanded description below), (3) double-differenced hypocenter locations in northern California to better constrain slab location there, and (4) revised slab shape based on new hypocenter profiles that incorporate routine depth uncertainties as well as data from new seismic-reflection and seismic-refraction studies. We also provide a 3D fly-through animation of the model for use as a visualization tool.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds633","usgsCitation":"Blair, J., McCrory, P., Oppenheimer, D.H., and Waldhauser, F., 2011, A Geo-referenced 3D model of the Juan de Fuca Slab and associated seismicity (Originally Posted December 2, 2011; Version 1.1: October 3, 2012; Version 1.2: April 29, 2013): U.S. Geological Survey Data Series 633, Readme File; Animation Folder; Map; Data Folder; Metadata Folder, https://doi.org/10.3133/ds633.","productDescription":"Readme File; Animation Folder; Map; Data Folder; Metadata Folder","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":379,"text":"Menlo Park Science Center","active":false,"usgs":true}],"links":[{"id":116693,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_633.png"},{"id":111012,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/633/","linkFileType":{"id":5,"text":"html"}},{"id":263034,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/633/1_README.txt"},{"id":263035,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/633/DS633_Animation"},{"id":263036,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/633/DS633_Location_Map.pdf"},{"id":263037,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/633/DS633_Data.zip"},{"id":263038,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/633/DS633_Metadata"}],"country":"Canada;United States","state":"British Columbia;California;Oregon;Washington","otherGeospatial":"Juan De Fuca Slab","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -132.74,38.92 ], [ -132.74,52.7 ], [ -116.68,52.7 ], [ -116.68,38.92 ], [ -132.74,38.92 ] ] ] } } ] }","edition":"Originally Posted December 2, 2011; Version 1.1: October 3, 2012; Version 1.2: April 29, 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4956e4b0b290850ef125","contributors":{"authors":[{"text":"Blair, J.L.","contributorId":55857,"corporation":false,"usgs":true,"family":"Blair","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":354015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCrory, P.A.","contributorId":96287,"corporation":false,"usgs":true,"family":"McCrory","given":"P.A.","email":"","affiliations":[],"preferred":false,"id":354016,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oppenheimer, D. H.","contributorId":18395,"corporation":false,"usgs":true,"family":"Oppenheimer","given":"D.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":354013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waldhauser, F.","contributorId":31897,"corporation":false,"usgs":true,"family":"Waldhauser","given":"F.","affiliations":[],"preferred":false,"id":354014,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70040559,"text":"70040559 - 2011 - Effects of baseline conditions on the simulated hydrologic response to projected climate change","interactions":[],"lastModifiedDate":"2012-11-01T14:07:01","indexId":"70040559","displayToPublicDate":"2012-10-31T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Effects of baseline conditions on the simulated hydrologic response to projected climate change","docAbstract":"Changes in temperature and precipitation projected from five general circulation models, using one late-twentieth-century and three twenty-first-century emission scenarios, were downscaled to three different baseline conditions. Baseline conditions are periods of measured temperature and precipitation data selected to represent twentieth-century climate. The hydrologic effects of the climate projections are evaluated using the Precipitation-Runoff Modeling System (PRMS), which is a watershed hydrology simulation model. The Almanor Catchment in the North Fork of the Feather River basin, California, is used as a case study. Differences and similarities between PRMS simulations of hydrologic components (i.e., snowpack formation and melt, evapotranspiration, and streamflow) are examined, and results indicate that the selection of a specific time period used for baseline conditions has a substantial effect on some, but not all, hydrologic variables. This effect seems to be amplified in hydrologic variables, which accumulate over time, such as soil-moisture content. Results also indicate that uncertainty related to the selection of baseline conditions should be evaluated using a range of different baseline conditions. This is particularly important for studies in basins with highly variable climate, such as the Almanor Catchment.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth Interactions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Meteorological Society","publisherLocation":"Boston, MA","doi":"10.1175/2011EI378.1","usgsCitation":"Koczot, K.M., Markstrom, S., and Hay, L.E., 2011, Effects of baseline conditions on the simulated hydrologic response to projected climate change: Earth Interactions, v. 15, no. 27, p. 1-23, https://doi.org/10.1175/2011EI378.1.","productDescription":"23 p.","startPage":"1","endPage":"23","numberOfPages":"23","ipdsId":"IP-023602","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":474714,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/2011ei378.1","text":"Publisher Index Page"},{"id":262879,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/2011EI378.1"},{"id":262881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Almanor Catchment;Feather River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.0 ], [ -114.13,42.0 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"15","issue":"27","noUsgsAuthors":false,"publicationDate":"2011-10-03","publicationStatus":"PW","scienceBaseUri":"50db334ee4b0612706009333","contributors":{"authors":[{"text":"Koczot, Kathryn M. 0000-0001-5728-9798 kmkoczot@usgs.gov","orcid":"https://orcid.org/0000-0001-5728-9798","contributorId":2039,"corporation":false,"usgs":true,"family":"Koczot","given":"Kathryn","email":"kmkoczot@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":1986,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven L.","email":"markstro@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":468520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":468519,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70007257,"text":"70007257 - 2011 - Climate, Fire and Geology in the Convergence of Mediterranean-type Climate Ecosystems","interactions":[],"lastModifiedDate":"2021-04-07T15:11:40.78336","indexId":"70007257","displayToPublicDate":"2012-06-19T12:46:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"14","title":"Climate, Fire and Geology in the Convergence of Mediterranean-type Climate Ecosystems","docAbstract":"Integrating Climate, Fire and Geology in a Fire-prone World
Fire challenges the long-standing hegemony of ecology, biogeography and paleoecology that climate and soils are sufficient to explain the origin and distribution of plant species. In a world where half of the land surface is fire-prone (Krawchuk et al. 2009), understanding the past and predicting the future requires a close integration of climate, fire and geology. The dogma that fire is an anthropogenic phenomenon of little use in understanding paleoecology (Axelrod 1980, 1989), or merely incidental to vegetation development (Hopper 2009), is rapidly being replaced with a better understanding of paleofire's impact on land plant evolution (Scott 2000; Pausas & Keeley 2009). Attempts to model future global vegetation patterns have been demonstrated to be inadequate without including both natural and anthropogenic fire regimes (Bond et al. 2005).
Bond and Keeley (2005) outlined the conundrum posed by alternative explanations for the present distribution of vegetation and assembly of communities. Classical explanations have invoked resource-based mechanisms that are driven by climate and soils. There are ecosystems where resource-based mechanisms may be sufficient, but on many seasonally dry landscapes ecosystem processes such as fire play a major role in the organization and evolution of vegetation.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Fire in Mediterranean ecosystems: Ecology, evolution and management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","publisherLocation":"Cambridge, UK","doi":"10.1017/CBO9781139033091.017","usgsCitation":"Keeley, J.E., Bond, W.J., Bradstock, R.A., Pausas, J.G., and Rundel, P.W., 2011, Climate, Fire and Geology in the Convergence of Mediterranean-type Climate Ecosystems, chap. 14 of Fire in Mediterranean ecosystems: Ecology, evolution and management, p. 388-397, https://doi.org/10.1017/CBO9781139033091.017.","productDescription":"10 p.","startPage":"388","endPage":"397","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":258000,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f657e4b0c8380cd4c6e0","contributors":{"authors":[{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":356195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bond, William J.","contributorId":81621,"corporation":false,"usgs":false,"family":"Bond","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":356197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradstock, Ross A.","contributorId":42826,"corporation":false,"usgs":false,"family":"Bradstock","given":"Ross","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":356196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pausas, Juli G.","contributorId":91347,"corporation":false,"usgs":true,"family":"Pausas","given":"Juli","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":356198,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rundel, Philip W.","contributorId":107552,"corporation":false,"usgs":true,"family":"Rundel","given":"Philip","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":356199,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70004639,"text":"70004639 - 2011 - Restoring and rehabilitating sagebrush habitats","interactions":[],"lastModifiedDate":"2017-12-06T10:29:38","indexId":"70004639","displayToPublicDate":"2012-06-18T16:59:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Restoring and rehabilitating sagebrush habitats","docAbstract":"Less than half of the original habitat of the Greater Sage-Grouse (Centrocercus uropha-sianus) currently exists. Some has been perma-nently lost to farms and urban areas, but the remaining varies in condition from high quality to no longer adequate. Restoration of sagebrush (Artemisia spp.) grassland ecosystems may be pos-sible for resilient lands. However, Greater Sage-Grouse require a wide variety of habitats over large areas to complete their life cycle. Effective restoration will require a regional approach for prioritizing and identifying appropriate options across the landscape. A landscape triage method is recommended for prioritizing lands for restora-tion. Spatial models can indicate where to protect and connect intact quality habitat with other simi-lar habitat via restoration. The ecological site con-cept of land classification is recommended for characterizing potential habitat across the region along with their accompanying state and transi-tion models of plant community dynamics. These models assist in identifying if passive, manage-ment-based or active, vegetation manipulation?based restoration might accomplish the goals of improved Greater Sage-Grouse habitat. A series of guidelines help formulate questions that manag-ers might consider when developing restoration plans: (1) site prioritization through a landscape triage; (2) soil verification and the implications of soil features on plant establishment success; (3) a comparison of the existing plant community to the potential for the site using ecological site descriptions; (4) a determination of the current successional status of the site using state and transition models to aid in predicting if passive or active restoration is necessary; and (5) implemen-tation of post-treatment monitoring to evaluate restoration effectiveness and post-treatment man-agement implications to restoration success.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Greater Sage-Grouse: Ecology and conservation of a landscape species and its habitats","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisherLocation":"Reston, VA","usgsCitation":"Pyke, D.A., 2011, Restoring and rehabilitating sagebrush habitats, chap. of Greater Sage-Grouse: Ecology and conservation of a landscape species and its habitats, p. 531-548.","productDescription":"18 p.","startPage":"531","endPage":"548","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":257975,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aaadbe4b0c8380cd8657d","contributors":{"editors":[{"text":"Knick, S.T.","contributorId":71290,"corporation":false,"usgs":true,"family":"Knick","given":"S.T.","email":"","affiliations":[],"preferred":false,"id":508247,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Connelly, J.W.","contributorId":17737,"corporation":false,"usgs":true,"family":"Connelly","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":508246,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":350915,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70005859,"text":"70005859 - 2011 - Modern methods of estimating biodiversity from presence-absence surveys","interactions":[],"lastModifiedDate":"2012-06-28T01:01:38","indexId":"70005859","displayToPublicDate":"2012-06-18T16:51:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Modern methods of estimating biodiversity from presence-absence surveys","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Biodiversity Loss in a Changing Planet","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","usgsCitation":"Dorazio, R.M., Gotelli, N., and Ellison, A.M., 2011, Modern methods of estimating biodiversity from presence-absence surveys, chap. of Biodiversity Loss in a Changing Planet, p. 277-302.","productDescription":"26 p.","startPage":"277","endPage":"302","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":257976,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257967,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://www.intechopen.com/books/biodiversity-loss-in-a-changing-planet/modern-methods-of-estimating-biodiversity-from-presence-absence-surveys","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c98e4b0c8380cd6fde8","contributors":{"editors":[{"text":"Grillo, Oscar","contributorId":112093,"corporation":false,"usgs":true,"family":"Grillo","given":"Oscar","email":"","affiliations":[],"preferred":false,"id":508289,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Venora, Gianfranco","contributorId":113504,"corporation":false,"usgs":true,"family":"Venora","given":"Gianfranco","email":"","affiliations":[],"preferred":false,"id":508290,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":353417,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gotelli, Nicholas J.","contributorId":79618,"corporation":false,"usgs":true,"family":"Gotelli","given":"Nicholas J.","affiliations":[],"preferred":false,"id":353419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellison, Aaron M.","contributorId":37058,"corporation":false,"usgs":true,"family":"Ellison","given":"Aaron","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":353418,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70038840,"text":"70038840 - 2011 - Testing competing hypotheses for chronology and intensity of lesser scaup molt during winter and spring migration","interactions":[],"lastModifiedDate":"2017-11-27T13:02:43","indexId":"70038840","displayToPublicDate":"2012-06-18T14:08:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Testing competing hypotheses for chronology and intensity of lesser scaup molt during winter and spring migration","docAbstract":"We examined chronology and intensity of molt and their relationships to nutrient reserves (lipid and protein) of Lesser Scaup (Aythya affinisK/i>) to test predictions of two competing hypotheses. The \"staggered cost\" hypothesis states that contour-feather molt is nutritionally costly and should not occur during nutritionally costly periods of the annual cycle unless adequate nutrients are available. The \"breeding plumage\" hypothesis states that prealternate molt must be complete prior to nesting, regardless of nutrient availability. Males and females were completing prebasic molt during winter (Louisiana) and had similar molt intensities. Females underwent prealternate molt during spring migration (Illinois and Minnesota) and prebreeding (Manitoba) periods; 53% and 93% of females were in moderate to heavy molt in Minnesota and Manitoba, respectively, despite experiencing other substantial nutritional costs. Intensity of prealternate molt was not correlated with lipid reserves even though females, on average, were nutritionally stressed. Molt intensity was not negatively correlated with protein reserves at any location. Chronology and intensity of prealternate molt varied little and were not temporally staggered from other nutritionally costly events. Prealternate molt did not influence nutrient reserves, and nutrient reserves likely were not the ultimate factor influencing chronology or intensity of prealternate molt of females. We surmise that nutrients required for prealternate molt come from exogenous sources and that the \"staggered cost\" hypothesis does not explain chronology of prealternate molt in female Lesser Scaup; rather, it appears that molt must be complete prior to nesting, consistent with the \"breeding plumage\" hypothesis.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cooper Ornithological Society","publisherLocation":"Waco, TX","doi":"10.1525/cond.2011.100055","usgsCitation":"Anteau, M.J., Anteau, A.C., and Afton, A.D., 2011, Testing competing hypotheses for chronology and intensity of lesser scaup molt during winter and spring migration: The Condor, v. 113, no. 2, p. 298-305, https://doi.org/10.1525/cond.2011.100055.","productDescription":"8 p.","startPage":"298","endPage":"305","costCenters":[{"id":368,"text":"Louisiana Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474719,"rank":101,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/cond.2011.100055","text":"Publisher Index Page"},{"id":257953,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257938,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1525/cond.2011.100055","linkFileType":{"id":5,"text":"html"}}],"country":"United States;Canada","volume":"113","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba5c0e4b08c986b320c58","contributors":{"authors":[{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":465065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anteau, Andrea C.E.","contributorId":40060,"corporation":false,"usgs":true,"family":"Anteau","given":"Andrea","email":"","middleInitial":"C.E.","affiliations":[],"preferred":false,"id":465066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Afton, Alan D. 0000-0002-0436-8588 aafton@usgs.gov","orcid":"https://orcid.org/0000-0002-0436-8588","contributorId":139582,"corporation":false,"usgs":false,"family":"Afton","given":"Alan","email":"aafton@usgs.gov","middleInitial":"D.","affiliations":[{"id":368,"text":"Louisiana Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":465064,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70038831,"text":"70038831 - 2011 - Lipid catabolism of invertebrate predator indicates widespread wetland ecosystem degradation","interactions":[],"lastModifiedDate":"2017-11-27T13:01:53","indexId":"70038831","displayToPublicDate":"2012-06-18T08:46:00","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":"Lipid catabolism of invertebrate predator indicates widespread wetland ecosystem degradation","docAbstract":"Animals frequently undergo periods when they accumulate lipid reserves for subsequent energetically expensive activities, such as migration or breeding. During such periods, daily lipid-reserve dynamics (DLD) of sentinel species can quantify how landscape modifications affect function, health, and resilience of ecosystems. Aythya affinis (Eyton 1838; lesser scaup; diving duck) are macroinvertebrate predators; they migrate through an agriculturally dominated landscape in spring where they select wetlands with the greatest food density to refuel and accumulate lipid reserves for subsequent reproduction. We index DLD by measuring plasma-lipid metabolites of female scaup (n = 459) that were refueling at 75 spring migration stopover areas distributed across the upper Midwest, USA. We also indexed DLD for females (n = 44) refueling on a riverine site (Pool 19) south of our upper Midwest study area. We found that mean DLD estimates were significantly (P<0.05) less than zero in all ecophysiographic regions of the upper Midwest, and the greatest negative value was in the Iowa Prairie Pothole region (-31.6). Mean DLD was 16.8 at Pool 19 and was markedly greater than in any region of the upper Midwest. Our results indicate that females catabolized rather than stored lipid reserves throughout the upper Midwest. Moreover, levels of lipid catabolism are alarming, because scaup use the best quality wetlands available within a given stopover area. Accordingly, these results provide evidence of wetland ecosystem degradation across this large agricultural landscape and document affects that are carried-up through several trophic levels. Interestingly, storing of lipids by scaup at Pool 19 likely reflects similar ecosystem perturbations as observed in the upper Midwest because wetland drainage and agricultural runoff nutrifies the riverine habitat that scaup use at Pool 19. Finally, our results underscore how using this novel technique to monitor DLD, of a carefully selected sentinel species, can index ecosystem health at a landscape scale.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0016029","usgsCitation":"Anteau, M.J., and Afton, A.D., 2011, Lipid catabolism of invertebrate predator indicates widespread wetland ecosystem degradation: PLoS ONE, v. 6, no. 1, 6 p.; article e16029, https://doi.org/10.1371/journal.pone.0016029.","productDescription":"6 p.; article e16029","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474722,"rank":201,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0016029","text":"Publisher Index Page"},{"id":257897,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257889,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://dx.doi.org/10.1371/journal.pone.0016029","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"6","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-19","publicationStatus":"PW","scienceBaseUri":"505a47e4e4b0c8380cd67a6d","contributors":{"authors":[{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":465038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Afton, Alan D. 0000-0002-0436-8588 aafton@usgs.gov","orcid":"https://orcid.org/0000-0002-0436-8588","contributorId":139582,"corporation":false,"usgs":false,"family":"Afton","given":"Alan","email":"aafton@usgs.gov","middleInitial":"D.","affiliations":[{"id":368,"text":"Louisiana Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":465037,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70003932,"text":"70003932 - 2011 - Evaluating spawning migration patterns and predicting spawning success of shovelnose sturgeon in the Lower Missouri River","interactions":[],"lastModifiedDate":"2021-01-28T20:23:13.091466","indexId":"70003932","displayToPublicDate":"2012-06-15T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating spawning migration patterns and predicting spawning success of shovelnose sturgeon in the Lower Missouri River","docAbstract":"Approaches using telemetry, precise reproductive assessments, and surgically implanted data storage tags (DSTs) were used in combination with novel applications of analytical techniques for fish movement studies to describe patterns in migratory behavior and predict spawning success of gravid shovelnose sturgeon. From 2004 to 2007, over 300 gravid female shovelnose sturgeon (Scaphirhynchus platorynchus) from the Lower Missouri River, that were expected to spawn in the year they were collected, were surgically implanted with transmitters and archival DSTs. Functional cluster modeling of telemetry data from the spawning season suggested two common migration patterns of gravid female shovelnose sturgeon. Fish implanted from 958 to 1181 river kilometer (rkm) from the mouth of the Missouri River (or northern portion of the Lower Missouri River within 354 rkm of the lowest Missouri River dam at rkm 1305) had one migration pattern. Of fish implanted from 209 to 402 rkm from the mouth of the Missouri River (or southern portion of the Lower Missouri River), half demonstrated a movement pattern similar to the northern fish while the other half demonstrated a migration pattern that covered more of the river. There was no apparent difference in migration patterns between successful and unsuccessful spawners. Multiple hypotheses exist to explain differences in migratory patterns among fish from different river reaches. Additional work is required to determine if observed differences are due to multiple adapted strategies, environmental alteration, and/or initial tagging date. Hierarchical Bayesian modeling of DST data indicated that variation in depth usage patterns was consistently different between successful and unsuccessful spawners, as indicated by differences in likelihood of switching between high and low variability states. Analyses of DST data, and data collected at capture, were sufficient to predict 8 of 10 non‐spawners/incomplete spawners and all 30 spawners in the absence of telemetry location data. Together, the results of these two separate analyses suggest that caution is necessary in extrapolating spawning success from broad‐scale movement data alone. More direct measures of spawning success may be necessary to precisely determine spawning success and to evaluate the effects of management actions.
","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1439-0426.2010.01663.x","usgsCitation":"Wildhaber, M., Holan, S., Davis, G.M., Gladish, D., DeLonay, A., Papoulias, D., and Sommerhauser, D.K., 2011, Evaluating spawning migration patterns and predicting spawning success of shovelnose sturgeon in the Lower Missouri River: Journal of Applied Ichthyology, v. 27, no. 2, p. 301-308, https://doi.org/10.1111/j.1439-0426.2010.01663.x.","productDescription":"8 p.","startPage":"301","endPage":"308","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":257647,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Missouri, Nebraska","otherGeospatial":"Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.1640625,\n 38.487994609214795\n ],\n [\n -92.10937499999999,\n 38.487994609214795\n ],\n [\n -92.10937499999999,\n 39.317300373271024\n ],\n [\n -93.1640625,\n 39.317300373271024\n ],\n [\n -93.1640625,\n 38.487994609214795\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.119140625,\n 42.21224516288584\n ],\n [\n -95.987548828125,\n 42.21224516288584\n ],\n [\n -95.987548828125,\n 43.492782808225\n ],\n [\n -97.119140625,\n 43.492782808225\n ],\n [\n -97.119140625,\n 42.21224516288584\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-03-28","publicationStatus":"PW","scienceBaseUri":"505a0bf4e4b0c8380cd52970","contributors":{"authors":[{"text":"Wildhaber, M. L. 0000-0002-6538-9083","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":62961,"corporation":false,"usgs":true,"family":"Wildhaber","given":"M. L.","affiliations":[],"preferred":false,"id":349575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holan, S. H.","contributorId":76453,"corporation":false,"usgs":false,"family":"Holan","given":"S. H.","affiliations":[],"preferred":false,"id":349577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, G. M.","contributorId":7510,"corporation":false,"usgs":false,"family":"Davis","given":"G.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":349571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gladish, D. W.","contributorId":68445,"corporation":false,"usgs":false,"family":"Gladish","given":"D. W.","affiliations":[],"preferred":false,"id":349576,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeLonay, A. J. 0000-0002-3752-2799","orcid":"https://orcid.org/0000-0002-3752-2799","contributorId":34246,"corporation":false,"usgs":true,"family":"DeLonay","given":"A. J.","affiliations":[],"preferred":false,"id":349573,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Papoulias, D. M. 0000-0002-5106-2469","orcid":"https://orcid.org/0000-0002-5106-2469","contributorId":58759,"corporation":false,"usgs":true,"family":"Papoulias","given":"D. M.","affiliations":[],"preferred":false,"id":349574,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sommerhauser, D. K.","contributorId":26924,"corporation":false,"usgs":false,"family":"Sommerhauser","given":"D.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":349572,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70005784,"text":"70005784 - 2011 - Multivariate analyses with end-member mixing to characterize groundwater flow: Wind Cave and associated aquifers","interactions":[],"lastModifiedDate":"2017-10-14T11:32:30","indexId":"70005784","displayToPublicDate":"2012-06-03T10:07:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Multivariate analyses with end-member mixing to characterize groundwater flow: Wind Cave and associated aquifers","docAbstract":"Principal component analysis (PCA) applied to hydrochemical data has been used with end-member mixing to characterize groundwater flow to a limited extent, but aspects of this approach are unresolved. Previous similar approaches typically have assumed that the extreme-value samples identified by PCA represent end members. The method presented herein is different from previous work in that (1) end members were not assumed to have been sampled but rather were estimated and constrained by prior knowledge; (2) end-member mixing was quantified in relation to hydrogeologic domains, which focuses model results on major hydrologic processes; (3) a method to select an appropriate number of end members using a series of cluster analyses is presented; and (4) conservative tracers were weighted preferentially in model calibration, which distributed model errors of optimized values, or residuals, more appropriately than would otherwise be the case. The latter item also provides an estimate of the relative influence of geochemical evolution along flow paths in comparison to mixing. This method was applied to groundwater in Wind Cave and the associated karst aquifer in the Black Hills of South Dakota, USA. The end-member mixing model was used to test a hypothesis that five different end-member waters are mixed in the groundwater system comprising five hydrogeologic domains. The model estimated that Wind Cave received most of its groundwater inflow from local surface recharge with an additional 33% from an upgradient aquifer. Artesian springs in the vicinity of Wind Cave primarily received water from regional groundwater flow.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2011.08.028","usgsCitation":"Long, A.J., and Valder, J., 2011, Multivariate analyses with end-member mixing to characterize groundwater flow: Wind Cave and associated aquifers: Journal of Hydrology, v. 409, no. 1-2, p. 315-327, https://doi.org/10.1016/j.jhydrol.2011.08.028.","productDescription":"13 p.","startPage":"315","endPage":"327","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":257435,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","volume":"409","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a60b2e4b0c8380cd7162a","contributors":{"authors":[{"text":"Long, Andrew J. 0000-0001-7385-8081 ajlong@usgs.gov","orcid":"https://orcid.org/0000-0001-7385-8081","contributorId":989,"corporation":false,"usgs":true,"family":"Long","given":"Andrew","email":"ajlong@usgs.gov","middleInitial":"J.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valder, Joshua F. 0000-0003-3733-8868 jvalder@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-8868","contributorId":1431,"corporation":false,"usgs":true,"family":"Valder","given":"Joshua F.","email":"jvalder@usgs.gov","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":353210,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70005240,"text":"70005240 - 2011 - Multiple applications of the U.S. EPA 1312 leach procedure to mine waste from the Animas watershed, SW Colorado","interactions":[],"lastModifiedDate":"2021-02-25T20:28:25.221294","indexId":"70005240","displayToPublicDate":"2012-06-03T09:21:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1758,"text":"Geochemistry: Exploration, Environment, Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Multiple applications of the U.S. EPA 1312 leach procedure to mine waste from the Animas watershed, SW Colorado","docAbstract":"Eleven acid-sulphate and quartz-sericite-pyrite altered mine waste samples from the Animas River watershed in SW Colorado were subjected to a series of 5 to 6 successive leaches using the US EPA 1312 leach protocol to evaluate the transport of metals and loss of acidity from mine wastes as a function of time. Multi-acid digestion ICP-AES analyses, X-ray diffraction (XRD) mineral identification, total sulphur, and net acid potential (NAP) determinations were performed on the initial starting materials. Multiple leaching steps generally showed a ‘flushing' effect, whereby elements loosely bound, presumably as water-soluble salts, were removed. Aluminum, Cd, Fe, Mg, Mn, Sr, Zn, and S showed decreasing concentration trends, whereas Cu concentrations showed initially decreasing trends, followed by increasing trends in later steps. Concentrations of Zn in the first leach step were independent of whole-sample Zn content. Lead and Ba concentrations consistently increased with each step, indicating that anglesite (PbSO4) and barite (BaSO4), respectively, were dissolving in successive leach steps. Comparison of Fe content with NAP resulted in a modest correlation. However, using the S analyses and XRD identification of sulphide minerals to apportion S amongst enargite, barite, anglesite/galena, and sphalerite, and assigning the remaining S to pyrite, provided a useful correlation between estimated pyrite content and NAP. Whole-sample mass loss correlated well with NAP, but individual elements' behaviors varied between positive correlation (e.g. Al, Fe, Mg), no apparent correlation (Ca, Cd, Pb, Zn), and negative correlation (Cu). Comparison of the summed titrated acidities of the leachates with the whole-sample NAP values yielded an estimate of the fraction of NAP consumed, and led to an estimate of the time it would take to consume the sample acidity by weathering. We estimate, on the basis of these experiments, the acidity in the upper 30 cm would be consumed in 200–1000 years. In addition, calculations suggest that the acidity would be depleted before the complete store of the metals Cu-Cd-Zn in these mine wastes would be released to the environment.
","language":"English","publisher":"The Geological Society of London","doi":"10.1144/1467-7873/09-245","usgsCitation":"Fey, D.L., Church, S.E., Driscoll, R.L., and Adams, M., 2011, Multiple applications of the U.S. EPA 1312 leach procedure to mine waste from the Animas watershed, SW Colorado: Geochemistry: Exploration, Environment, Analysis, v. 11, no. 3, p. 163-178, https://doi.org/10.1144/1467-7873/09-245.","productDescription":"16 p.","startPage":"163","endPage":"178","numberOfPages":"16","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":257414,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Animas River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.79956817626953,\n 37.78075532805877\n ],\n [\n -107.53589630126953,\n 37.78075532805877\n ],\n [\n -107.53589630126953,\n 37.934179150985045\n ],\n [\n -107.79956817626953,\n 37.934179150985045\n ],\n [\n -107.79956817626953,\n 37.78075532805877\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-08-19","publicationStatus":"PW","scienceBaseUri":"505a605ee4b0c8380cd713df","contributors":{"authors":[{"text":"Fey, David L. dfey@usgs.gov","contributorId":713,"corporation":false,"usgs":true,"family":"Fey","given":"David","email":"dfey@usgs.gov","middleInitial":"L.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":352127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Church, Stan E. schurch@usgs.gov","contributorId":803,"corporation":false,"usgs":true,"family":"Church","given":"Stan","email":"schurch@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":false,"id":352129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Driscoll, Rhonda L. 0000-0001-7725-8956 rdriscoll@usgs.gov","orcid":"https://orcid.org/0000-0001-7725-8956","contributorId":745,"corporation":false,"usgs":true,"family":"Driscoll","given":"Rhonda","email":"rdriscoll@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":352128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Monique G.","contributorId":76338,"corporation":false,"usgs":true,"family":"Adams","given":"Monique G.","affiliations":[],"preferred":false,"id":352130,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70005436,"text":"70005436 - 2011 - Multilevel eEmpirical Bayes modeling for improved estimation of toxicant formulations tosuppress parasitic sea lamprey in the Upper Great Lakes","interactions":[],"lastModifiedDate":"2012-06-12T01:01:50","indexId":"70005436","displayToPublicDate":"2012-06-03T08:47:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1039,"text":"Biometrics","active":true,"publicationSubtype":{"id":10}},"title":"Multilevel eEmpirical Bayes modeling for improved estimation of toxicant formulations tosuppress parasitic sea lamprey in the Upper Great Lakes","docAbstract":"Estimation of extreme quantal-response statistics, such as the concentration required to kill 99.9% of test subjects (LC99.9), remains a challenge in the presence of multiple covariates and complex study designs. Accurate and precise estimates of the LC99.9 for mixtures of toxicants are critical to ongoing control of a parasitic invasive species, the sea lamprey, in the Laurentian Great Lakes of North America. The toxicity of those chemicals is affected by local and temporal variations in water chemistry, which must be incorporated into the modeling. We develop multilevel empirical Bayes models for data from multiple laboratory studies. Our approach yields more accurate and precise estimation of the LC99.9 compared to alternative models considered. This study demonstrates that properly incorporating hierarchical structure in laboratory data yields better estimates of LC99.9 stream treatment values that are critical to larvae control in the field. In addition, out-of-sample prediction of the results of in situ tests reveals the presence of a latent seasonal effect not manifest in the laboratory studies, suggesting avenues for future study and illustrating the importance of dual consideration of both experimental and observational data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biometrics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The International Biometric Society","publisherLocation":"Washington, D.C.","doi":"10.1111/j.1541-0420.2011.01566.x","usgsCitation":"Hatfield, L.A., Gutreuter, S., Boogaard, M.A., and Carlin, B.P., 2011, Multilevel eEmpirical Bayes modeling for improved estimation of toxicant formulations tosuppress parasitic sea lamprey in the Upper Great Lakes: Biometrics, v. 67, no. 3, p. 1153-1162, https://doi.org/10.1111/j.1541-0420.2011.01566.x.","productDescription":"10 p.","startPage":"1153","endPage":"1162","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":474729,"rank":101,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://europepmc.org/articles/pmc3111860","text":"External Repository"},{"id":257407,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1111/j.1541-0420.2011.01566.x","linkFileType":{"id":5,"text":"html"}},{"id":257413,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois;Indiana;Michigan;Minnesota;Wisconsin","volume":"67","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-03-01","publicationStatus":"PW","scienceBaseUri":"505a602be4b0c8380cd71334","contributors":{"authors":[{"text":"Hatfield, Laura A.","contributorId":88992,"corporation":false,"usgs":true,"family":"Hatfield","given":"Laura","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":352514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gutreuter, Steve","contributorId":91437,"corporation":false,"usgs":true,"family":"Gutreuter","given":"Steve","affiliations":[],"preferred":false,"id":352515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boogaard, Michael A. 0000-0002-5192-8437 mboogaard@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-8437","contributorId":865,"corporation":false,"usgs":true,"family":"Boogaard","given":"Michael","email":"mboogaard@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":352512,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carlin, Bradley P.","contributorId":16690,"corporation":false,"usgs":true,"family":"Carlin","given":"Bradley","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":352513,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}