Macrhybopsis reproduction and propagule traits were studied in the laboratory using two temperature regimes and three hormone treatments to determine which methods produced the most spawns. Only sicklefin chub Macrhybopsis meeki spawned successfully although sturgeon chub Macrhybopsis gelida released unfertilized eggs. All temperature and hormone treatments produced M. meeki spawns, but two treatments had similar success rates at 44 and 43%, consisting of a constant daily temperature with no hormone added, or daily temperature fluctuations with hormone added to the water. Spawns consisted of multiple successful demersal circular swimming spawning embraces interspersed with circular swims without embraces. The most spawns observed for one female was four and on average, 327 eggs were collected after each spawn. The water-hardened eggs were semi-buoyant and non-adhesive, the first confirmation of this type of reproductive guild in the Missouri River Macrhybopsis sp. From spawn, larvae swam vertically until 123 accumulated degree days (° D) and 167° D for consumption of first food. Using average water speed and laboratory development time, the predicted drift distance for eggs and larvae could be 468–592 km in the lower Missouri River. Results from this study determined the reproductive biology and early life history of Macrhybopsis spp. and provided insight into their population dynamics in the Missouri River.
","language":"English","publisher":"Wiley","doi":"10.1111/jfb.13329","usgsCitation":"Albers, J.L., and Wildhaber, M.L., 2017, Reproductive strategy, spawning induction, spawning temperatures and early life history of captive sicklefin chub Macrhybopsis meeki: Journal of Fish Biology, v. 91, no. 1, p. 58-79, https://doi.org/10.1111/jfb.13329.","productDescription":"22 p.","startPage":"58","endPage":"79","ipdsId":"IP-064083","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":438285,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70P0X9Q","text":"USGS data release","linkHelpText":"Reproductive strategy, spawning induction, spawning temperatures and early life history of captive sicklefin chub Macrhybopsis meeki-Data"},{"id":343074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-13","publicationStatus":"PW","scienceBaseUri":"59649235e4b0d1f9f05acd44","contributors":{"authors":[{"text":"Albers, Janice L. 0000-0002-6312-8269 jalbers@usgs.gov","orcid":"https://orcid.org/0000-0002-6312-8269","contributorId":3972,"corporation":false,"usgs":true,"family":"Albers","given":"Janice","email":"jalbers@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":702247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":702248,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188953,"text":"70188953 - 2017 - Designing a solution to enable agency-academic scientific collaboration for disasters","interactions":[],"lastModifiedDate":"2017-06-28T14:59:04","indexId":"70188953","displayToPublicDate":"2017-06-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Designing a solution to enable agency-academic scientific collaboration for disasters","docAbstract":"As large-scale environmental disasters become increasingly frequent and more severe globally, people and organizations that prepare for and respond to these crises need efficient and effective ways to integrate sound science into their decision making. Experience has shown that integrating nongovernmental scientific expertise into disaster decision making can improve the quality of the response, and is most effective if the integration occurs before, during, and after a crisis, not just during a crisis. However, collaboration between academic, government, and industry scientists, decision makers, and responders is frequently difficult because of cultural differences, misaligned incentives, time pressures, and legal constraints. Our study addressed this challenge by using the Deep Change Method, a design methodology developed by Stanford ChangeLabs, which combines human-centered design, systems analysis, and behavioral psychology. We investigated underlying needs and motivations of government agency staff and academic scientists, mapped the root causes underlying the relationship failures between these two communities based on their experiences, and identified leverage points for shifting deeply rooted perceptions that impede collaboration. We found that building trust and creating mutual value between multiple stakeholders before crises occur is likely to increase the effectiveness of problem solving. We propose a solution, the Science Action Network, which is designed to address barriers to scientific collaboration by providing new mechanisms to build and improve trust and communication between government administrators and scientists, industry representatives, and academic scientists. The Science Action Network has the potential to ensure cross-disaster preparedness and science-based decision making through novel partnerships and scientific coordination.
","language":"English","publisher":"Resilience Alliance","doi":"10.5751/ES-09246-220218","usgsCitation":"Mease, L.A., Gibbs-Plessl, T., Erickson, A., Ludwig, K.A., Reddy, C.M., and Lubchenco, J., 2017, Designing a solution to enable agency-academic scientific collaboration for disasters: Ecology and Society, v. 22, no. 2, Article 18; 18 p. , https://doi.org/10.5751/ES-09246-220218.","productDescription":"Article 18; 18 p. ","ipdsId":"IP-076631","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":461491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-09246-220218","text":"Publisher Index Page"},{"id":343063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"2","publicComments":"Article 18","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965b1bae4b0d1f9f05b37a6","contributors":{"authors":[{"text":"Mease, Lindley A.","contributorId":193719,"corporation":false,"usgs":false,"family":"Mease","given":"Lindley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":701596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gibbs-Plessl, Theodora","contributorId":193720,"corporation":false,"usgs":false,"family":"Gibbs-Plessl","given":"Theodora","email":"","affiliations":[],"preferred":false,"id":701597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erickson, Ashley","contributorId":193721,"corporation":false,"usgs":false,"family":"Erickson","given":"Ashley","email":"","affiliations":[],"preferred":false,"id":701598,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ludwig, K. A. 0000-0002-0935-9410 kaludwig@usgs.gov","orcid":"https://orcid.org/0000-0002-0935-9410","contributorId":596,"corporation":false,"usgs":true,"family":"Ludwig","given":"K.","email":"kaludwig@usgs.gov","middleInitial":"A.","affiliations":[{"id":5059,"text":"Office of the Chief Scientist for National Hazards","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":701595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reddy, Christopher M.","contributorId":193722,"corporation":false,"usgs":false,"family":"Reddy","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":701599,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lubchenco, Jane","contributorId":193723,"corporation":false,"usgs":false,"family":"Lubchenco","given":"Jane","email":"","affiliations":[],"preferred":false,"id":701600,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70188999,"text":"70188999 - 2017 - Wave dynamics and flooding on low-lying tropical reef-lined coasts","interactions":[],"lastModifiedDate":"2017-06-28T16:58:22","indexId":"70188999","displayToPublicDate":"2017-06-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Wave dynamics and flooding on low-lying tropical reef-lined coasts","docAbstract":"Many tropical islands and coasts are lined with coral reefs. These reefs are host to valuable ecosystems that support\nabundant marine species and provide resources for fisheries and recreation. As a flood defense, reefs protect coastlines\nfrom coastal storm damage and flooding by reducing the majority of incident wave energy. However, during storm and\nlarge swell conditions, coastal wave-driven flooding and overwash still occur due to high water levels, (infra) gravity\nwaves, and/or low-frequency wave resonance. The wave and flooding effects cause erosion, damage to infrastructure,\nagricultural crops, and salinization of precious drinking water supplies. These impacts, which are likely to increase due\nto climate change and ongoing development on the islands, may cause many low-lying tropical islands and coastal\nareas to become uninhabitable before the end of the century. This paper investigates aspects of wave dynamics for the\ncase of a small island in the tropical Pacific Ocean, shows projections of flooding under climate change scenarios, and\noutlines approaches to generalize the results to other islands, including mitigation options.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings Coastal Dynamics 2017","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Dynamics 2017","conferenceDate":"June 12-16, 2017","conferenceLocation":"Helsingør, Denmark","language":"English","publisher":"Coastal Dynamics","usgsCitation":"van Dongeran, A., Storlazzi, C.D., Quataert, E., and Pearson, S., 2017, Wave dynamics and flooding on low-lying tropical reef-lined coasts, in Proceedings Coastal Dynamics 2017, Helsingør, Denmark, June 12-16, 2017, p. 654-664.","productDescription":"11 p.","startPage":"654","endPage":"664","ipdsId":"IP-085779","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":343109,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://coastaldynamics2017.dk/proceedings.html"},{"id":343110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965b1b9e4b0d1f9f05b37a0","contributors":{"authors":[{"text":"van Dongeran, Ap","contributorId":176244,"corporation":false,"usgs":false,"family":"van Dongeran","given":"Ap","email":"","affiliations":[],"preferred":false,"id":702344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":702343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quataert, Ellen","contributorId":193834,"corporation":false,"usgs":false,"family":"Quataert","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":702345,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearson, Stuart","contributorId":193835,"corporation":false,"usgs":false,"family":"Pearson","given":"Stuart","affiliations":[],"preferred":false,"id":702346,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188977,"text":"70188977 - 2017 - Assessment of phytoplankton resources suitable for bigheaded carps in Lake Michigan derived from remote sensing and bioenergetics","interactions":[],"lastModifiedDate":"2021-06-07T11:56:43.805323","indexId":"70188977","displayToPublicDate":"2017-06-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of phytoplankton resources suitable for bigheaded carps in Lake Michigan derived from remote sensing and bioenergetics","docAbstract":"We used bioenergetic simulations combined with satellite-measured water temperature and estimates of algal food availability to predict the habitat suitability of Lake Michigan for adult silver carp (Hypophthalmichthys \r\nmolitrix) and bighead carp (H. nobilis). Depending on water temperature, we found that bigheaded carp require ambient algal concentrations between 1 and 7 μg chlorophyll/L or between 0.25 × 105 and 1.20 × 105 cells/mL \r\nMicrocystis to maintain body weight. When the bioenergetics model is forced with the observed average annual temperature cycle, our simulations predicted silver carp bioenergetics predicted annual weight change ranging \r\nfrom 9% weight loss to 23% gain; bighead carp ranged from 68 to 177% weight gain. Algal concentrations b4 μg chlorophyll/L and b200,000 cells/mL were below the detection limits of the remote sensing method. However, all areas with detectable algae have sufficient concentrations of algal foods for bigheaded carp weight-maintenance and growth. Those areas are predominately along the nearshore areas.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.03.005","usgsCitation":"Anderson, K.R., Chapman, D., Wynne, T.T., and Paukert, C.P., 2017, Assessment of phytoplankton resources suitable for bigheaded carps in Lake Michigan derived from remote sensing and bioenergetics: Journal of Great Lakes Research, v. 43, no. 3, p. 90-99, https://doi.org/10.1016/j.jglr.2017.03.005.","productDescription":"10 p.","startPage":"90","endPage":"99","ipdsId":"IP-077126","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":343065,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Wisconsin","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n 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Center","active":true,"usgs":true}],"preferred":true,"id":702081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":702082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wynne, Tim T.","contributorId":193798,"corporation":false,"usgs":false,"family":"Wynne","given":"Tim","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":702083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":702084,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188694,"text":"70188694 - 2017 - Daily reservoir sedimentation model: Case study from the Fena Valley Reservoir, Guam","interactions":[],"lastModifiedDate":"2018-03-27T11:17:35","indexId":"70188694","displayToPublicDate":"2017-06-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2338,"text":"Journal of Hydraulic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Daily reservoir sedimentation model: Case study from the Fena Valley Reservoir, Guam","docAbstract":"A model to compute reservoir sedimentation rates at daily timescales is presented. The model uses streamflow and sediment load data from nearby stream gauges to obtain an initial estimate of sediment yield for the reservoir’s watershed; it is then calibrated to the total deposition calculated from repeat bathymetric surveys. Long-term changes to reservoir trapping efficiency are also taken into account. The model was applied to the Fena Valley Reservoir, a water supply reservoir on the island of Guam. This reservoir became operational in 1951 and was recently surveyed in 2014. The model results show that the highest rate of deposition occurred during two typhoons (Typhoon Alice in 1953 and Typhoon Tingting in 2004); each storm decreased reservoir capacity by approximately 2–3% in only a few days. The presented model can be used to evaluate the impact of an extreme event, or it can be coupled with a watershed runoff model to evaluate potential impacts to storage capacity as a result of climate change or other hydrologic modifications.
","language":"English","publisher":"ASCE","doi":"10.1061/(ASCE)HY.1943-7900.0001344","usgsCitation":"Marineau, M.D., and Wright, S., 2017, Daily reservoir sedimentation model: Case study from the Fena Valley Reservoir, Guam: Journal of Hydraulic Engineering, v. 143, no. 9, Article 05017003; 11 p., https://doi.org/10.1061/(ASCE)HY.1943-7900.0001344.","productDescription":"Article 05017003; 11 p.","ipdsId":"IP-082309","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":343086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","issue":"9","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965b1bae4b0d1f9f05b37a8","contributors":{"authors":[{"text":"Marineau, Mathieu D. 0000-0002-6568-0743 mmarineau@usgs.gov","orcid":"https://orcid.org/0000-0002-6568-0743","contributorId":4954,"corporation":false,"usgs":true,"family":"Marineau","given":"Mathieu","email":"mmarineau@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":698945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":698946,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188998,"text":"70188998 - 2017 - Rigorously valuing the role of coral reefs in coastal protection: An example from Maui, Hawaii, U.S.A.","interactions":[],"lastModifiedDate":"2017-06-28T16:54:01","indexId":"70188998","displayToPublicDate":"2017-06-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Rigorously valuing the role of coral reefs in coastal protection: An example from Maui, Hawaii, U.S.A.","docAbstract":"The degradation of coastal habitats, particularly coral reefs, raises risks by exposing communities to flooding hazards.\nThe protective services of these natural defenses are not assessed in the same rigorous, economic terms as artificial\ndefenses such as seawalls, and therefore often not considered in decision-making. Here we present a new methodology\nthat combines economic, ecological, and engineering tools to provide a rigorous financial valuation of the coastal\nprotection benefits of coral reefs off Maui, Hawaii, USA. We follow risk-based valuation guidelines to quantitatively\nestimate the risk reduction benefits from coral reefs in terms of annual expected benefits in economic terms. Our\nultimate goal is to identify how, where, and when coral reefs provide the most flood reduction benefits under current\nand future climates to inform reef conservation and management priorities.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of Coastal Dynamics 2017","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Dynamics 2017","conferenceDate":"June 12-16, 2017","conferenceLocation":"Helsingør, Denmark","language":"English","publisher":"Coastal Dynamics","usgsCitation":"Storlazzi, C.D., Reguero, B.G., Lowe, E., Shope, J.B., Gibbs, A.E., Beck, M., and Nickel, B.A., 2017, Rigorously valuing the role of coral reefs in coastal protection: An example from Maui, Hawaii, U.S.A., in Proceedings of Coastal Dynamics 2017, Helsingør, Denmark, June 12-16, 2017, p. 665-674.","productDescription":"10 p.","startPage":"665","endPage":"674","ipdsId":"IP-086222","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":343108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343107,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://coastaldynamics2017.dk/proceedings.html"}],"country":"United States","state":"Hawaii","otherGeospatial":"Maui","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965b1b9e4b0d1f9f05b37a2","contributors":{"authors":[{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":702329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reguero, Borja G. 0000-0001-5526-7157","orcid":"https://orcid.org/0000-0001-5526-7157","contributorId":193831,"corporation":false,"usgs":false,"family":"Reguero","given":"Borja","email":"","middleInitial":"G.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":true,"id":702330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowe, Erik","contributorId":140758,"corporation":false,"usgs":false,"family":"Lowe","given":"Erik","affiliations":[{"id":13554,"text":"USGS Pacific Coastal and Marine Science Center","active":true,"usgs":false}],"preferred":false,"id":702331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shope, James B.","contributorId":135949,"corporation":false,"usgs":false,"family":"Shope","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":10653,"text":"University of California at Santa Cruz, Earth and Planetary Science Department","active":true,"usgs":false}],"preferred":false,"id":702332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":702333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beck, Mike","contributorId":193832,"corporation":false,"usgs":false,"family":"Beck","given":"Mike","email":"","affiliations":[],"preferred":false,"id":702334,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nickel, Barry A.","contributorId":193833,"corporation":false,"usgs":false,"family":"Nickel","given":"Barry","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":702335,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70187864,"text":"tm7C15 - 2017 - Probability calculations for three-part mineral resource assessments","interactions":[],"lastModifiedDate":"2019-03-14T11:03:26","indexId":"tm7C15","displayToPublicDate":"2017-06-27T11:25:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"7-C15","title":"Probability calculations for three-part mineral resource assessments","docAbstract":"Three-part mineral resource assessment is a methodology for predicting, in a specified geographic region, both the number of undiscovered mineral deposits and the amount of mineral resources in those deposits. These predictions are based on probability calculations that are performed with computer software that is newly implemented. Compared to the previous implementation, the new implementation includes new features for the probability calculations themselves and for checks of those calculations. The development of the new implementation lead to a new understanding of the probability calculations, namely the assumptions inherent in the probability calculations. Several assumptions strongly affect the mineral resource predictions, so it is crucial that they are checked during an assessment. The evaluation of the new implementation leads to new findings about the probability calculations,namely findings regarding the precision of the computations,the computation time, and the sensitivity of the calculation results to the input.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section C: Computer Programs in Book 7 Automated Data Processing and Computations","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7C15","usgsCitation":"Ellefsen, K.J., 2017, Probability calculations for three-part mineral resource assessments: U.S. Geological Survey Techniques and Methods, book 7, chap. C15, 14 p., https://doi.org/10.3133/tm7C15.","productDescription":"Report: iv, 14 p.; Calculation Scripts: 12.0 kb txt","startPage":"1","endPage":"14","numberOfPages":"22","onlineOnly":"Y","ipdsId":"IP-075806","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":342784,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/07/c15/tm7c15.pdf","text":"Report","size":"776 kB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 7-C15"},{"id":342783,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/07/c15/coverthb.jpg"},{"id":342786,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/tm/07/c15/CalculationScripts.R","text":"Calculation Scripts","size":"12.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"TM 7-C15 Calculation Scripts"},{"id":342859,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/tm7C14","text":"Techniques and Methods 7-C14: ","linkHelpText":"User’s Guide for MapMark4—An R Package for the Probability Calculations in Three-Part Mineral Resource Assessments"},{"id":362064,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20185149","text":"Scientific Investigations Report 2018-5149: ","linkHelpText":"Effect of Size-Biased Sampling on Resource Predictions from the Three-Part Method for Quantitative Mineral Resource Assessment—A Case Study of the Gold Mines in the Timmins-Kirkland Lake Area of the Abitibi Greenstone Belt, Canada"}],"publicComments":"Chapter 15 of Section C: Computer Programs in Book 7 Automated Data Processing and Computations","contact":" Central Mineral and Environmental Resources
U.S. Geological Survey
Box 25046, Mail Stop 973
Denver, CO 80225
MapMark4 is a software package that implements the probability calculations in three-part mineral resource assessments. Functions within the software package are written in the R statistical programming language. These functions, their documentation, and a copy of this user’s guide are bundled together in R’s unit of shareable code, which is called a “package.” This user’s guide includes step-by-step instructions showing how the functions are used to carry out the probability calculations. The calculations are demonstrated using test data, which are included in the package.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section C: Computer Programs in Book 7 Automated Data Processing and Computations","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7C14","usgsCitation":"Ellefsen, K.J., 2017, User’s guide for MapMark4—An R package for the probability calculations in three-part mineral resource assessments: U.S. Geological Survey Techniques and Methods, book 7, chap. C14, 23 p., https://doi.org/10.3133/tm7C14.","productDescription":"Report: iv, 23 p.; Installation Instructions: 4.0 kb txt; Example R Scripts: 4.0 kb; Downloadable Software Package: 856 kb; Downloadable Source Code: HTML","startPage":"1","endPage":"23","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-075749","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":438287,"rank":10,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96MN574","text":"USGS data release","linkHelpText":"MapMark4 Shiny: A self-contained implementation of the MapMark4 R package"},{"id":362063,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20185149","text":"Scientific Investigations Report 2018-5149: ","linkHelpText":"Effect of Size-Biased Sampling on Resource Predictions from the Three-Part Method for Quantitative Mineral Resource Assessment—A Case Study of the Gold Mines in the Timmins-Kirkland Lake Area of the Abitibi Greenstone Belt, Canada"},{"id":342756,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/07/c14/coverthb.jpg"},{"id":342858,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/tm7C15","text":"Techniques and Methods 7C15: ","linkHelpText":"Probability calculations for three-part mineral resource assessments"},{"id":342758,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/tm/07/c14/InstallationInstructions.txt","text":"Installation Instructions","size":"4.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"TM 7-C14 Installation Instructions"},{"id":342759,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/tm/07/c14/CalculationScripts_Gatm.R","text":"Example R Scripts for a Grade–and–Tonnage Model","size":"4.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"TM 7-C14 Example R Scripts for a GradeandTonnage Model"},{"id":342757,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/07/c14/tm7c14.pdf","text":"Report","size":"1.37 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 7-C14"},{"id":342770,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/tm/07/c14/CalculationScripts _Tm.R","text":"Example R Scripts for a Tonnage Model","size":"4.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"TM 7-C14 Example R Scripts for a Tonnage Model"},{"id":342773,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/tm/07/c14/MapMark4_1.0.tar.gz","text":"MapMark4 Software Package","size":"856 kB","linkFileType":{"id":6,"text":"zip"},"description":"TM 7-C14 MapMark4 Software Package"},{"id":342776,"rank":7,"type":{"id":7,"text":"Companion Files"},"url":"https://github.com/USGS-R/MapMark4","text":"MapMark4 Source Code","description":"TM 7-C14 MapMark4 Source Code"}],"publicComments":"Chapter 14 of Section C: Computer Programs in Book 7 Automated Data Processing and Computations","contact":" Central Mineral and Environmental Resources
U.S. Geological Survey
Box 25046, Mail Stop 973
Denver, CO 80225
Fire is a dynamic ecosystem process of mixed-conifer forests of the Sierra Nevada, but there is limited scientific information addressing wildlife habitat use in burned landscapes. Recent studies have presented contradictory information regarding the effects of stand-replacing wildfires on Spotted Owls (Strix occidentalis) and their habitat. While fire promotes heterogeneous forest landscapes shown to be favored by owls, high severity fire may create large canopy gaps that can fragment the closed-canopy habitat preferred by Spotted Owls. We used radio-telemetry to determine whether foraging California Spotted Owls (S. o. occidentalis) in Yosemite National Park, California, USA, showed selection for particular fire severity patch types within their home ranges. Our results suggested that Spotted Owls exhibited strong habitat selection within their home ranges for locations near the roost and edge habitats, and weak selection for lower fire severity patch types. Although owls selected high contrast edges with greater relative probabilities than low contrast edges, we did not detect a statistical difference between these probabilities. Protecting forests from stand-replacing fires via mechanical thinning or prescribed fire is a priority for management agencies, and our results suggest that fires of low to moderate severity can create habitat conditions within California Spotted Owls' home ranges that are favored for foraging.
","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-16-184.1","usgsCitation":"Eyes, S., Roberts, S.L., and Johnson, M.D., 2017, California Spotted Owl (Strix occidentalis occidentalis) habitat use patterns in a burned landscape: The Condor, v. 119, no. 3, p. 375-388, https://doi.org/10.1650/CONDOR-16-184.1.","productDescription":"14 p.","startPage":"375","endPage":"388","ipdsId":"IP-080251","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":461495,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-16-184.1","text":"Publisher Index Page"},{"id":343040,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536ea0e4b062508e3c7a4f","contributors":{"authors":[{"text":"Eyes, Stephanie 0000-0002-6969-9927","orcid":"https://orcid.org/0000-0002-6969-9927","contributorId":193688,"corporation":false,"usgs":false,"family":"Eyes","given":"Stephanie","email":"","affiliations":[],"preferred":false,"id":701413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, Susan L.","contributorId":85312,"corporation":false,"usgs":true,"family":"Roberts","given":"Susan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":701412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Matthew D. mjjohnson@usgs.gov","contributorId":193689,"corporation":false,"usgs":false,"family":"Johnson","given":"Matthew","email":"mjjohnson@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":false,"id":701414,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188918,"text":"70188918 - 2017 - Trace element contamination in feather and tissue samples from Anna’s hummingbirds","interactions":[],"lastModifiedDate":"2017-07-02T08:50:47","indexId":"70188918","displayToPublicDate":"2017-06-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Trace element contamination in feather and tissue samples from Anna’s hummingbirds","docAbstract":"Trace element contamination (17 elements; Be, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Mo, Cd, Ba, Hg, Tl, and Pb) of live (feather samples only) and deceased (feather and tissue samples) Anna's hummingbirds (Calypte anna) was evaluated. Samples were analyzed using inductively coupled plasma-mass spectrometry (ICP-MS; 17 elements) and atomic absorption spectrophotometry (Hg only). Mean plus one standard deviation (SD) was considered the benchmark, and concentrations above the mean + 1 SD were considered elevated above normal. Contour feathers were sampled from live birds of varying age, sex, and California locations. In order to reduce thermal impacts, minimal feathers were taken from live birds, therefore a novel method was developed for preparation of low mass feather samples for ICP-MS analysis. The study found that the novel feather preparation method enabled small mass feather samples to be analyzed for trace elements using ICP-MS. For feather samples from live birds, all trace elements, with the exception of beryllium, had concentrations above the mean + 1 SD. Important risk factors for elevated trace element concentrations in feathers of live birds were age for iron, zinc, and arsenic, and location for iron, manganese, zinc, and selenium. For samples from deceased birds, ICP-MS results from body and tail feathers were correlated for Fe, Zn, and Pb, and feather concentrations were correlated with renal (Fe, Zn, Pb) or hepatic (Hg) tissue concentrations. Results for AA spectrophotometry analyzed samples from deceased birds further supported the ICP-MS findings where a strong correlation between mercury concentrations in feather and tissue (pectoral muscle) samples was found. These study results support that sampling feathers from live free-ranging hummingbirds might be a useful, non-lethal sampling method for evaluating trace element exposure and provides a sampling alternative since their small body size limits traditional sampling of blood and tissues. The results from this study provide a benchmark for the distribution of trace element concentrations in feather and tissue samples from hummingbirds and suggests a reference mark for exceeding normal. Lastly, pollinating avian species are minimally represented in the literature as bioindicators for environmental trace element contamination. Given that trace elements can move through food chains by a variety of routes, our study indicates that hummingbirds are possible bioindicators of environmental trace element contamination.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2017.04.053","usgsCitation":"Mikoni, N.A., Poppenga, R.H., Ackerman, J., Foley, J.E., Hazlehurst, J., Purdin, G., Aston, L., Hargrave, S., Jelks, K., and Tell, L.A., 2017, Trace element contamination in feather and tissue samples from Anna’s hummingbirds: Ecological Indicators, v. 80, p. 96-105, https://doi.org/10.1016/j.ecolind.2017.04.053.","productDescription":"10 p.","startPage":"96","endPage":"105","ipdsId":"IP-082206","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":438289,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75H7DG7","text":"USGS data release","linkHelpText":"Mercury contamination in Annas hummingbirds"},{"id":343012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536ea0e4b062508e3c7a51","contributors":{"authors":[{"text":"Mikoni, Nicole A.","contributorId":193647,"corporation":false,"usgs":false,"family":"Mikoni","given":"Nicole","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":701216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poppenga, Robert H.","contributorId":76063,"corporation":false,"usgs":false,"family":"Poppenga","given":"Robert","email":"","middleInitial":"H.","affiliations":[{"id":7082,"text":"University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":701217,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":701215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foley, Janet E.","contributorId":148029,"corporation":false,"usgs":false,"family":"Foley","given":"Janet","email":"","middleInitial":"E.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":701218,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hazlehurst, Jenny","contributorId":193648,"corporation":false,"usgs":false,"family":"Hazlehurst","given":"Jenny","email":"","affiliations":[],"preferred":false,"id":701219,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Purdin, Guthrum","contributorId":193649,"corporation":false,"usgs":false,"family":"Purdin","given":"Guthrum","email":"","affiliations":[],"preferred":false,"id":701220,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aston, Linda","contributorId":193650,"corporation":false,"usgs":false,"family":"Aston","given":"Linda","email":"","affiliations":[],"preferred":false,"id":701221,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hargrave, Sabine","contributorId":193651,"corporation":false,"usgs":false,"family":"Hargrave","given":"Sabine","email":"","affiliations":[],"preferred":false,"id":701222,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jelks, Karen","contributorId":193652,"corporation":false,"usgs":false,"family":"Jelks","given":"Karen","email":"","affiliations":[],"preferred":false,"id":701223,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tell, Lisa A.","contributorId":193653,"corporation":false,"usgs":false,"family":"Tell","given":"Lisa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":701224,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70188886,"text":"70188886 - 2017 - The Neogene genus Streptochilus (Brönnimann and Resig, 1971) from the Gulf of California","interactions":[],"lastModifiedDate":"2017-06-27T09:45:28","indexId":"70188886","displayToPublicDate":"2017-06-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2673,"text":"Marine Micropaleontology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The Neogene genus Streptochilus (Brönnimann and Resig, 1971) from the Gulf of California","title":"The Neogene genus Streptochilus (Brönnimann and Resig, 1971) from the Gulf of California","docAbstract":"Four species of the planktonic foraminiferal genus Streptochilus from key Neogene marine localities are documented in relation to the evolution of the Gulf of California: S. globigerus, S. latus, S. macdougallae sp. nov., and S. inglei sp. nov. Planktonic foraminiferal bioevents and strontium isotopes in the Bouse, Tirabuzón, Carmen and Ojo de Buey lithostratigraphic units constrain the local distribution range between 6 and 5.3 Ma for the last three species, whereas S. globigerus appears locally at 5.5 Ma and disappears between 3.79 and 3.46 Ma in the Imperial and Trinidad Formations. The last occurrence of Streptochilus latus, and the first and last occurrences of S. globigerus in the ancient Gulf of California are correlated with bioevents calibrated in the equatorial Pacific; therefore, they can be used as reliable local biostratigraphic markers. The presence of Streptochilus in the ancient Gulf of California seems to correlate with upwelling, in a pattern similar to that observed in the modern oceans.
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Center
U.S. Geological Survey
2885 Mission St.
Santa Cruz, CA 95060
Partly situated in the idyllic Mount Rainier National Park, this field trip visits exceptional examples of Oligocene subaqueous volcaniclastic successions in continental basins adjacent to the Ancestral Cascades arc. The >800-m-thick Ohanapecosh Formation (32–26 Ma) and the >300-m-thick Wildcat Creek (27 Ma) beds record similar sedimentation processes from various volcanic sources. Both show evidence of below-wave-base deposition, and voluminous accumulation of volcaniclastic facies from subaqueous density currents and suspension settling. Eruption-fed facies include deposits from pyroclastic flows that crossed the shoreline, from tephra fallout over water, and from probable Surtseyan eruptions, whereas re-sedimented facies comprise subaqueous density currents and debris flow deposits.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175022B","usgsCitation":"Jutzeler, M., and McPhie, J., 2017, Field-trip guide to subaqueous volcaniclastic facies in the Ancestral Cascades arc in southern Washington State—The Ohanapecosh Formation and Wildcat Creek beds: U.S. Geological Survey Scientific Investigations Report 2017–5022–B, 24 p., https://doi.org/10.3133/sir20175022B.","productDescription":"vii, 24 p.","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-076025","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":342970,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5022/b/sir20175022b.pdf","text":"Report","size":"11.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5022-B"},{"id":342969,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5022/b/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Ancestral Cascades Arc, Ohanapecosh Formation, Wildcat Creek Beds","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.62139892578125,\n 46.649436163350245\n ],\n [\n -120.9814453125,\n 46.649436163350245\n ],\n [\n -120.9814453125,\n 46.903369029728054\n ],\n [\n -121.62139892578125,\n 46.903369029728054\n ],\n [\n -121.62139892578125,\n 46.649436163350245\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Volcano Science Center - Menlo Park
U.S. Geological Survey
345 Middlefield Road, MS 910
Menlo Park, CA 94025
A broad study of zircons from plutonic rocks of the Sawatch and Mosquito ranges of west-central Colorado (U.S.A.) was undertaken to significantly refine the magmatic chronology and chemistry of this under-studied region of the Colorado province. This region was chosen because it lies just to the north of the suspected arc-related Gunnison-Salida volcano-plutonic terrane, which has been the subject of many recent investigations—and whose origin is still debated. Our new results provide important insights into the processes active during Proterozoic crustal evolution in this region, and they have important ramifications for broader-scope crustal evolution models for southwestern North America.
Twenty-four new U-Pb ages and sequentially acquired rare-earth element (REE), U, Th, and Hf contents of zircon have been determined using the sensitive high-resolution ion microprobe-reverse geometry (SHRIMP-RG). These zircon geochemistry data, in conjunction with whole-rock major- and trace-element data, provide important insights into zircon crystallization and melt fractionation, and they help to further constrain the tectonic environment of magma generation.
Our detailed zircon and whole-rock data support the following three interpretations:
(1) The Roosevelt Granite in the southern Sawatch Range was the oldest rock dated at 1,766 ± 7 Ma, and it intruded various metavolcanic and metasedimentary rocks. Geochemistry of both whole-rock and zircon supports the contention that this granite was produced in a magmatic arc environment and, therefore, is likely an extension of the older Dubois Greenstone Belt of the Gunnison Igneous Complex (GIC) and the Needle Mountains (1,770–1,755 Ma). Rocks of the younger Cochetopa succession of the GIC, the Salida Greenstone Belt, and the Sangre de Cristo Mountains (1,740–1,725 Ma) were not found in the Sawatch and Mosquito ranges. This observation strongly suggests that the northern edge of the Gunnison-Salida arc terrane underlies the southern portion of the Sawatch and Mosquito ranges.
(2) Calc-alkalic to alkali-calcic magmas intruded this region approximately 55 m.y. after the Roosevelt Granite with emplacement of pre-deformational plutons at ca. 1,710 Ma (e.g., Henry Mountain Granite and diorite of Denny Creek), and this continued for at least 30 m.y., ending with emplacement of post-deformational plutons at ca. 1,680 Ma (e.g., Kroenke Granodiorite, granite of Fairview Peak, and syenite of Mount Yale). The timing of deformation can be constrained to sometime after intrusion of the diorite of Denny Creek and likely before the emplacement of the undeformed granite of Fairview Peak. Geochemistry of both whole-rock and zircon indicates that the older group of ca. 1,710-Ma plutons formed at shallower depths, and then they intruded the younger group of more deeply generated, commonly peraluminous and sodic plutons. Although absent in the Sawatch and Mosquito ranges, Mazatzal-age (ca. 1,680–1,620 Ma) plutonic rocks are present regionally. Inherited zircon components of Mazatzal-age were found as cores in some 1.4-Ga Sawatch and Mosquito Range zircons, indicating the likelihood of a relatively local source. These combined data suggest the possibility that all were produced within a continental-margin magmatic arc created as a result of southward-migrating (slab rollback?), north-dipping subduction to the south of the region.
(3) Widespread Mesoproterozoic plutonism—with emplacement at various depths and exhibiting bimodal geochemistry—is recognized in 16 different samples. An older group of predominantly peraluminous, yet magnesian granitoids (e.g., granodiorite of Sayers, granite of Taylor River, and the St. Kevin Granite) were emplaced between ca. 1,450 and 1,425 Ma. These geochemical parameters suggest moderate degrees of partial melting in a low-pressure environment. Three younger metaluminous, but ferroan plutons (diorite of Grottos, diorite of Mount Elbert, and granodiorite of Mount Harvard), probably represent a final magmatic pulse at ca. 1,416 Ma.
A comprehensive treatment of zircon REE and whole-rock trace-element behavior from Proterozoic rocks is scarce. Discriminant U/Yb versus Y diagrams using zircon data show that the Sawatch and Mosquito plutons are of continental origin, not oceanic. Additional bivariate diagrams incorporating cation ratio combinations of Gd, Ce, Yb, U, Th, Hf, and Eu offer refined insight into differences in fractionation trends and depth of magma generation for the various plutons. These interpretations, on the basis of zircon trace-element data, are mirrored in the whole-rock geochemistry data.
","language":"English","publisher":"GeoScienceWorld","doi":"10.24872/rmgjournal.52.1.17","usgsCitation":"Moscati, R.J., Premo, W.R., Dewitt, E., and Wooden, J.L., 2017, U-Pb ages and geochemistry of zircon from Proterozoic plutons of the Sawatch and Mosquito ranges, Colorado, U.S.A.: Implications for crustal growth of the central Colorado province: Rocky Mountain Geology, v. 52, no. 1, p. 17-106, https://doi.org/10.24872/rmgjournal.52.1.17.","productDescription":"90 p.","startPage":"17","endPage":"106","ipdsId":"IP-054984","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":342965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Mosquito Range, Sawatch Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107,\n 39.5\n ],\n [\n -107,\n 38.7\n ],\n [\n -107.8,\n 38.7\n ],\n [\n -107.8,\n 38.0\n ],\n [\n -105.8,\n 38.0\n ],\n [\n -105.8,\n 39.5\n ],\n [\n -107,\n 39.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"52","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-26","publicationStatus":"PW","scienceBaseUri":"59536ea2e4b062508e3c7a57","contributors":{"authors":[{"text":"Moscati, Richard J. 0000-0002-0818-4401 rmoscati@usgs.gov","orcid":"https://orcid.org/0000-0002-0818-4401","contributorId":2462,"corporation":false,"usgs":true,"family":"Moscati","given":"Richard","email":"rmoscati@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":700889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Premo, Wayne R. 0000-0001-9904-4801 wpremo@usgs.gov","orcid":"https://orcid.org/0000-0001-9904-4801","contributorId":1697,"corporation":false,"usgs":true,"family":"Premo","given":"Wayne","email":"wpremo@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":700890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dewitt, Ed edewitt@usgs.gov","contributorId":193586,"corporation":false,"usgs":true,"family":"Dewitt","given":"Ed","email":"edewitt@usgs.gov","affiliations":[],"preferred":true,"id":700891,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wooden, Joseph L.","contributorId":193587,"corporation":false,"usgs":false,"family":"Wooden","given":"Joseph","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":700892,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188916,"text":"70188916 - 2017 - Essential information: Uncertainty and optimal control of Ebola outbreaks","interactions":[],"lastModifiedDate":"2017-06-27T14:56:55","indexId":"70188916","displayToPublicDate":"2017-06-27T00:00:00","publicationYear":"2017","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":"Essential information: Uncertainty and optimal control of Ebola outbreaks","docAbstract":"Early resolution of uncertainty during an epidemic outbreak can lead to rapid and efficient decision making, provided that the uncertainty affects prioritization of actions. The wide range in caseload projections for the 2014 Ebola outbreak caused great concern and debate about the utility of models. By coding and running 37 published Ebola models with five candidate interventions, we found that, despite this large variation in caseload projection, the ranking of management options was relatively consistent. Reducing funeral transmission and reducing community transmission were generally ranked as the two best options. Value of information (VoI) analyses show that caseloads could be reduced by 11% by resolving all model-specific uncertainties, with information about model structure accounting for 82% of this reduction and uncertainty about caseload only accounting for 12%. Our study shows that the uncertainty that is of most interest epidemiologically may not be the same as the uncertainty that is most relevant for management. If the goal is to improve management outcomes, then the focus of study should be to identify and resolve those uncertainties that most hinder the choice of an optimal intervention. Our study further shows that simplifying multiple alternative models into a smaller number of relevant groups (here, with shared structure) could streamline the decision-making process and may allow for a better integration of epidemiological modeling and decision making for policy.
","language":"English","publisher":"PNAS","doi":"10.1073/pnas.1617482114","usgsCitation":"Li, S., Bjornstad, O., Ferrari, M., Mummah, R., Runge, M.C., Fonnesbeck, C.J., Tildesley, M., Probert, W., and Shea, K., 2017, Essential information: Uncertainty and optimal control of Ebola outbreaks: Proceedings of the National Academy of Sciences of the United States of America, v. 114, no. 22, p. 5659-5664, https://doi.org/10.1073/pnas.1617482114.","productDescription":"6 p.","startPage":"5659","endPage":"5664","ipdsId":"IP-082199","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":461503,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://europepmc.org/articles/PMC5465899","text":"Publisher Index Page"},{"id":343011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"22","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-15","publicationStatus":"PW","scienceBaseUri":"59536ea1e4b062508e3c7a53","contributors":{"authors":[{"text":"Li, Shou-Li","contributorId":193644,"corporation":false,"usgs":false,"family":"Li","given":"Shou-Li","email":"","affiliations":[],"preferred":false,"id":701211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bjornstad, Ottar","contributorId":193645,"corporation":false,"usgs":false,"family":"Bjornstad","given":"Ottar","affiliations":[],"preferred":false,"id":701212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferrari, Matthew J.","contributorId":67082,"corporation":false,"usgs":true,"family":"Ferrari","given":"Matthew J.","affiliations":[],"preferred":false,"id":701241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mummah, Riley","contributorId":193663,"corporation":false,"usgs":false,"family":"Mummah","given":"Riley","affiliations":[],"preferred":false,"id":701242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":701243,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fonnesbeck, Christopher J.","contributorId":83047,"corporation":false,"usgs":true,"family":"Fonnesbeck","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":701244,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tildesley, Michael J.","contributorId":100772,"corporation":false,"usgs":true,"family":"Tildesley","given":"Michael J.","affiliations":[],"preferred":false,"id":701245,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Probert, William J. M.","contributorId":44759,"corporation":false,"usgs":false,"family":"Probert","given":"William J. M.","affiliations":[],"preferred":false,"id":701246,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shea, Katriona 0000-0002-7607-8248","orcid":"https://orcid.org/0000-0002-7607-8248","contributorId":193646,"corporation":false,"usgs":false,"family":"Shea","given":"Katriona","email":"","affiliations":[],"preferred":false,"id":701247,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70188912,"text":"70188912 - 2017 - Water contents of clinopyroxenes from sub-arc mantle peridotites","interactions":[],"lastModifiedDate":"2017-09-05T12:40:22","indexId":"70188912","displayToPublicDate":"2017-06-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5438,"text":"Island Arc","active":true,"publicationSubtype":{"id":10}},"title":"Water contents of clinopyroxenes from sub-arc mantle peridotites","docAbstract":"One poorly constrained reservoir of the Earth's water budget is that of clinopyroxene in metasomatised, mantle peridotites. This study presents reconnaissance Sensitive High-Resolution, Ion Microprobe–Stable Isotope (SHRIMP–SI) determinations of the H2O contents of (dominantly) clinopyroxenes in rare mantle xenoliths from four different subduction zones, i.e. Mexico, Kamchatka, Philippines, and New Britain (Tabar-Feni island chain) as well as one intra-plate setting (western Victoria). All of the sub-arc xenoliths have been metasomatised and carry strong arc trace element signatures. Average measured H2O contents of the pyroxenes range from 70 ppm to 510 ppm whereas calculated bulk H2O contents range from 88 ppm to 3 737 ppm if the variable presence of amphibole is taken into account. In contrast, the intra-plate, continental mantle xenolith from western Victoria has higher water contents (3 447 ppm) but was metasomatised by alkali and/or carbonatitic melts and does not carry a subduction-related signature. Material similar to the sub-arc peridotites can either be accreted to the base of the lithosphere or potentially be transported by convection deeper into the mantle where it will lose water due to amphibole breakdown.
","language":"English","publisher":"Wiley","doi":"10.1111/iar.12210","usgsCitation":"Turner, M., Turner, S., Blatter, D.L., Maury, R., Perfit, M., and Yogodzinski, G., 2017, Water contents of clinopyroxenes from sub-arc mantle peridotites: Island Arc, v. 26, no. 5, e12210; 10 p., https://doi.org/10.1111/iar.12210.","productDescription":"e12210; 10 p.","ipdsId":"IP-064559","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":461499,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/iar.12210","text":"Publisher Index Page"},{"id":342984,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-27","publicationStatus":"PW","scienceBaseUri":"59536ea1e4b062508e3c7a55","contributors":{"authors":[{"text":"Turner, Michael","contributorId":193627,"corporation":false,"usgs":false,"family":"Turner","given":"Michael","email":"","affiliations":[],"preferred":false,"id":701124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turner, Simon","contributorId":67783,"corporation":false,"usgs":true,"family":"Turner","given":"Simon","affiliations":[],"preferred":false,"id":701125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blatter, Dawnika L. 0000-0002-7161-6844 dblatter@usgs.gov","orcid":"https://orcid.org/0000-0002-7161-6844","contributorId":4899,"corporation":false,"usgs":true,"family":"Blatter","given":"Dawnika","email":"dblatter@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":701123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maury, Rene","contributorId":193629,"corporation":false,"usgs":false,"family":"Maury","given":"Rene","email":"","affiliations":[],"preferred":false,"id":701126,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perfit, Michael","contributorId":13736,"corporation":false,"usgs":false,"family":"Perfit","given":"Michael","affiliations":[],"preferred":false,"id":701127,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yogodzinski, Gene","contributorId":193631,"corporation":false,"usgs":false,"family":"Yogodzinski","given":"Gene","email":"","affiliations":[],"preferred":false,"id":701128,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70188892,"text":"70188892 - 2017 - Light climate and dissolved organic carbon concentration influence species-specific changes in fish zooplanktivory","interactions":[],"lastModifiedDate":"2017-09-18T15:38:29","indexId":"70188892","displayToPublicDate":"2017-06-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Light climate and dissolved organic carbon concentration influence species-specific changes in fish zooplanktivory","docAbstract":"Dissolved organic carbon (DOC) in lakes reduces light penetration and limits fish production in low nutrient lakes, reportedly via reduced primary and secondary production. Alternatively, DOC and light reductions could influence fish by altering their visual feeding. Previous studies report mixed effects of DOC on feeding rates of zooplanktivorous fish, but most investigators tested effects of a single concentration of DOC against clear-water, turbid, or algal treatments. We used a controlled laboratory study to quantify the effects of a DOC gradient (3–19 mg L−1) on average light climate and the zooplankton feeding rate of 3 common, north temperate fishes. Light availability, which was inversely related to DOC concentration, had a positive and linear effect on zooplankton consumption by juvenile largemouth bass (Micropterus salmoides) and bluegill (Lepomis macrochirus), explaining 22% and 28% of the variation in consumption, respectively. By contrast, zooplankton feeding rates by fathead minnow (Pimephales promelas) were best predicted by a nonlinear, negative influence of light (R2 = 0.13). In bluegill feeding trials we found a general trend for positive selection of larger zooplankton (Cladocera and Chaoboridae); however, the light climate did not influence the selection of prey type. Largemouth bass selected for larger-bodied zooplankton, with weak evidence that selectivity for large Cladocera changed from negative to neutral selection based on electivity values across the light gradient. Our results suggest that the effect of DOC on the light climate of lakes may directly influence fish zooplanktivory and that this influence may vary among fish species.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/20442041.2017.1329121","usgsCitation":"Weidel, B., Baglini, K., Jones, S., Kelly, P.T., Solomon, C.T., and Zwart, J., 2017, Light climate and dissolved organic carbon concentration influence species-specific changes in fish zooplanktivory: Inland Waters, v. 7, no. 2, p. 210-217, https://doi.org/10.1080/20442041.2017.1329121.","productDescription":"8 p.","startPage":"210","endPage":"217","ipdsId":"IP-060067","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":342932,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-20","publicationStatus":"PW","scienceBaseUri":"59536ea3e4b062508e3c7a59","contributors":{"authors":[{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":700859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baglini, Katherine","contributorId":193576,"corporation":false,"usgs":false,"family":"Baglini","given":"Katherine","email":"","affiliations":[],"preferred":false,"id":700860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Stuart E.","contributorId":22222,"corporation":false,"usgs":false,"family":"Jones","given":"Stuart E.","affiliations":[{"id":6966,"text":"Department of Biological Sciences, University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":700861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelly, Patrick T.","contributorId":193577,"corporation":false,"usgs":false,"family":"Kelly","given":"Patrick","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":700862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Solomon, Christopher T.","contributorId":34014,"corporation":false,"usgs":false,"family":"Solomon","given":"Christopher","email":"","middleInitial":"T.","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":700863,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zwart, Jacob A.","contributorId":173345,"corporation":false,"usgs":false,"family":"Zwart","given":"Jacob A.","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":700864,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70187492,"text":"sir20175034 - 2017 - Optimal hydrograph separation using a recursive digital filter constrained by chemical mass balance, with application to selected Chesapeake Bay watersheds","interactions":[],"lastModifiedDate":"2017-06-26T10:38:00","indexId":"sir20175034","displayToPublicDate":"2017-06-26T10:15:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5034","title":"Optimal hydrograph separation using a recursive digital filter constrained by chemical mass balance, with application to selected Chesapeake Bay watersheds","docAbstract":"Quantitative estimates of base flow are necessary to address questions concerning the vulnerability and response of the Nation’s water supply to natural and human-induced change in environmental conditions. An objective of the U.S. Geological Survey National Water-Quality Assessment Project is to determine how hydrologic systems are affected by watershed characteristics, including land use, land cover, water use, climate, and natural characteristics (geology, soil type, and topography). An important component of any hydrologic system is base flow, generally described as the part of streamflow that is sustained between precipitation events, fed to stream channels by delayed (usually subsurface) pathways, and more specifically as the volumetric discharge of water, estimated at a measurement site or gage at the watershed scale, which represents groundwater that discharges directly or indirectly to stream reaches and is then routed to the measurement point.
Hydrograph separation using a recursive digital filter was applied to 225 sites in the Chesapeake Bay watershed. The recursive digital filter was chosen for the following reasons: it is based in part on the assumption that groundwater acts as a linear reservoir, and so has a physical basis; it has only two adjustable parameters (alpha, obtained directly from recession analysis, and beta, the maximum value of the base-flow index that can be modeled by the filter), which can be determined objectively and with the same physical basis of groundwater reservoir linearity, or that can be optimized by applying a chemical-mass-balance constraint. Base-flow estimates from the recursive digital filter were compared with those from five other hydrograph-separation methods with respect to two metrics: the long-term average fraction of streamflow that is base flow, or base-flow index, and the fraction of days where streamflow is entirely base flow. There was generally good correlation between the methods, with some biased slightly high and some biased slightly low compared to the recursive digital filter. There were notable differences between the days at base flow estimated by the different methods, with the recursive digital filter having a smaller range of values. This was attributed to how the different methods determine cessation of quickflow (the part of streamflow which is not base flow).
For 109 Chesapeake Bay watershed sites with available specific conductance data, the parameters of the filter were optimized using a chemical-mass-balance constraint and two different models for the time-dependence of base-flow specific conductance. Sixty-seven models were deemed acceptable and the results compared well with non-optimized results. There are a number of limitations to the optimal hydrograph-separation approach resulting from the assumptions implicit in the conceptual model, the mathematical model, and the approach taken to impose chemical mass balance (including tracer choice). These limitations may be evidenced by poor model results; conversely, poor model fit may provide an indication that two-component separation does not adequately describe the hydrologic system’s runoff response.
The results of this study may be used to address a number of questions regarding the role of groundwater in understanding past changes in stream-water quality and forecasting possible future changes, such as the timing and magnitude of land-use and management practice effects on stream and groundwater quality. Ongoing and future modeling efforts may benefit from the estimates of base flow as calibration targets or as a means to filter chemical data to model base-flow loads and trends. Ultimately, base-flow estimation might provide the basis for future work aimed at improving the ability to quantify groundwater discharge, not only at the scale of a gaged watershed, but at the scale of individual reaches as well.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175034","isbn":"978-1-4113-4135-7","collaboration":"National Water Quality Program","usgsCitation":"Raffensperger, J.P., Baker, A.C., Blomquist, J.D., and Hopple, J.A., 2017, Optimal hydrograph separation using a recursive digital filter constrained by chemical mass balance, with application to selected Chesapeake Bay watersheds: U.S. Geological Survey Scientific Investigations Report 2017–5034, 51 p., https://doi.org/10.3133/sir20175034.","productDescription":"Report: vii, 51 p.; Data Release","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-080740","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":342818,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5034/sir20175034.pdf","text":"Report","size":"2.17 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5034"},{"id":342817,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5034/coverthb.jpg"},{"id":342819,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F757194G","text":"USGS data release","description":"USGS data release","linkHelpText":"Hydrograph-separation results for 225 streams in the Chesapeake Bay watershed derived by using PART, HYSEP (Fixed, Local minimum, Slide), BFI, and a Recursive Digital Filter with streamflow data ranging from 1913 through 2016"}],"contact":"Director, MD-DE-DC Water Science Center
U.S. Geological Survey
5522 Research Park Drive
Baltimore, MD 21228
A study was conducted in 2014–15 by the U.S. Geological Survey (USGS), in cooperation with the Municipality of Caguas, to determine if changes in the stream sanitary quality during base-flow conditions have occurred since 1997–99, when a similar study was completed by the USGS. Water samples were collected for the current study during two synoptic surveys in 2014 and 2015. Water samples were analyzed for fecal and total coliform bacteria, nitrate plus nitrite as nitrogen, nitrogen and oxygen isotopes of nitrate, and human health and pharmaceutical products. Water sampling occurred at 39 stream locations used during the 1997–99 study by the USGS and at 11 additional sites. A total of 151 stream miles were classified on the basis of fecal and total coliform bacteria results.
The overall spatial pattern of the sanitary quality of surface water during 2014–15 is similar to the pattern observed in 1997–99 in relation to the standards adopted by the Puerto Rico Environmental Quality Board in 1990. Surface water at most of the water-sampling sites exceeded the current standard for fecal coliform of 200 colonies per 100 milliliters adopted by the Puerto Rico Environmental Quality Board in 2010. The poorest sanitary quality was within the urban area of the Municipality of Caguas, particularly in urban stream reaches of Río Caguitas and in rural and suburban reaches bordered by houses in high density that either have inadequate septic tanks or discharge domestic wastewater directly into the stream channels. The best sanitary quality occurred in areas having little or no human development, such as in the wards of San Salvador and Beatriz to the south and southwest of Caguas, respectively. The concentration of nitrate plus nitrite as nitrogen ranged from 0.02 to 9.0 milligrams per liter, and did not exceed the U.S. Environmental Protection Agency drinking-water standard for nitrate as nitrogen of 10 milligrams per liter. The composition of nitrogen and oxygen isotopes of nitrate indicates that the origin of nitrate in the streams is most likely animal and human waste. A baseline was established for the concentrations of selected human health and pharmaceutical products at stations in some of the streams within the Municipality of Caguas. Thirty-eight human health and pharmaceutical products were present at or above the measurement detection level.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175045","collaboration":"Prepared in cooperation with the Autonomous Municipality of Caguas","usgsCitation":"Rodríguez-Martínez, Jesús, and Guzmán-Ríos, Senén, 2017, Sanitary quality of surface water during base-flow conditions in the Municipality of Caguas, Puerto Rico, 2014–15: A comparison with results from a similar 1997–99 study: U.S. Geological Survey Scientific Investigations Report 2017–5045, 20 p., https://doi.org/10.3133/sir20175045.","productDescription":"Report: vii, 20 p.; Plate: 20.66 x 40.73 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-068670","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":342871,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5045/sir20175045.pdf","text":"Report","size":"6.38 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U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
We use core descriptions and portable X-ray fluorescence analyses to identify lithofacies and stratigraphic surfaces for the Mesoproterozoic Nonesuch Formation within the Ashland syncline, Wisconsin. We group lithofacies into facies associations and construct a sequence stratigraphic framework based on lithofacies stacking and stratigraphic surfaces. The fluvial-alluvial facies association (upper Copper Harbor Conglomerate) is overlain across a transgressive surface by the fluctuating-profundal facies association (lower Nonesuch Formation). The fluctuating-profundal facies association comprises a retrogradational sequence set overlain across a maximum flooding surface by an aggradational-progradational sequence set comprising fluctuating-profundal, fluvial-lacustrine, and fluvial-alluvial facies associations (middle Nonesuch through lower Freda Formations). Lithogeochemistry supports sedimentologic and stratigraphic interpretations. Fe/S molar ratios reflect the oxidation state of the lithofacies; values are most depleted above the maximum flooding surface where lithofacies are chemically reduced and are greatest in the chemically oxidized lithofacies. Si/Al and Zr/Al molar ratios reflect the relative abundance of detrital heavy minerals vs. clay minerals; greater values correlate with larger grain size. Vertical facies association stacking records depositional environments that evolved from fluvial and alluvial, to balanced-fill lake, to overfilled lake, and returning to fluvial and alluvial. Elsewhere in the basin, where accommodation was greatest, some volume of fluvial-lacustrine facies is likely present below the transgressive stratigraphic surface. This succession of continental and lake-basin types indicates a predominant tectonic driver of basin evolution. Lithofacies distribution and geochemistry indicate deposition within an asymmetric half-graben bounded on the east by a west-dipping growth fault. While facies assemblages are lacustrine and continental, periodic marine incursions are probable, especially across maximum transgressive surfaces.
We demonstrate a sequence-stratigraphic approach may be applied to fine-grained Precambrian sediments using traditional rock description and supporting lithogeochemistry. Identification of a characteristic lithofacies succession in Mesoproterozoic sediments demonstrates fundamental controls commonly interpreted for Phanerozoic lake systems may be extended into the Precambrian. These controls result in a predictable association of lithofacies, with distinct physical, biological, and geochemical properties. This has regional significance for carbon sequestration and the distribution of mineral and hydrocarbon resources and broader significance for addressing Mesoproterozoic paleogeographic reconstructions and questions related to the evolution of terrestrial life.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.precamres.2017.03.023","usgsCitation":"Kingsbury Stewart, E., and Mauk, J.L., 2017, Sedimentology, sequence-stratigraphy, and geochemical variations in the Mesoproterozoic Nonesuch Formation, northern Wisconsin, USA: Precambrian Research, v. 294, p. 111-132, https://doi.org/10.1016/j.precamres.2017.03.023.","productDescription":"22 p.","startPage":"111","endPage":"132","ipdsId":"IP-073739","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":342880,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Mesoproterozoic Nonesuch Formation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.5,\n 45.7\n ],\n [\n -87.5,\n 45.7\n ],\n [\n -87.5,\n 48.2\n ],\n [\n -93.5,\n 48.2\n ],\n [\n -93.5,\n 45.7\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"294","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59521d1de4b062508e3c3646","contributors":{"authors":[{"text":"Kingsbury Stewart, Esther","contributorId":193464,"corporation":false,"usgs":false,"family":"Kingsbury Stewart","given":"Esther","email":"","affiliations":[],"preferred":false,"id":700536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mauk, Jeffrey L. 0000-0002-6244-2774 jmauk@usgs.gov","orcid":"https://orcid.org/0000-0002-6244-2774","contributorId":4101,"corporation":false,"usgs":true,"family":"Mauk","given":"Jeffrey","email":"jmauk@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":700535,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188852,"text":"70188852 - 2017 - Tolerance to disturbance regulated by attractiveness of resources: A case study of desert bighorn sheep within the River Mountains, Nevada","interactions":[],"lastModifiedDate":"2017-06-26T14:33:28","indexId":"70188852","displayToPublicDate":"2017-06-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Tolerance to disturbance regulated by attractiveness of resources: A case study of desert bighorn sheep within the River Mountains, Nevada","docAbstract":"Human activity may mimic predation risks for wildlife by causing abandonment of foraging sites and increasing expenditure of energy. Animals that can tolerate nonlethal disturbance may minimize these fitness costs. We examine this aspect of the risk—disturbance hypothesis by first analyzing recent habitat use of desert bighorn sheep relative to areas of attraction and disturbance. We then compare and contrast sheep responses to differing levels of anthropogenic disturbance between 2 time periods, 30 years apart. Desert bighorn sheep were tolerant of suburban activity when a consistent forage resource (municipal grass) was provided. Males were more tolerant than females, and females returned to natural, steep areas during the birthing season. Increased recreation activity, specifically mountain bike use, may have resulted in avoidance by sheep of otherwise suitable habitat that had been occupied decades earlier, thereby reducing availability of limited habitat. Tolerance increased only when attractiveness was relatively high and decreased as perceived fitness decreased, supporting risk—disturbance theory.
","language":"English","publisher":"Monte L. Bean Life Science Museum","doi":"10.3398/064.077.0109","usgsCitation":"Lowrey, C.E., and Longshore, K.M., 2017, Tolerance to disturbance regulated by attractiveness of resources: A case study of desert bighorn sheep within the River Mountains, Nevada: Western North American Naturalist, v. 77, no. 1, p. 82-98, https://doi.org/10.3398/064.077.0109.","productDescription":"17 p.","startPage":"82","endPage":"98","ipdsId":"IP-081658","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488682,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol77/iss1/8","text":"External Repository"},{"id":342909,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"River Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.96849060058592,\n 35.88960636579773\n ],\n [\n -114.78034973144531,\n 35.88960636579773\n ],\n [\n -114.78034973144531,\n 36.12678323326426\n ],\n [\n -114.96849060058592,\n 36.12678323326426\n ],\n [\n -114.96849060058592,\n 35.88960636579773\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"77","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59521d1ce4b062508e3c3640","contributors":{"authors":[{"text":"Lowrey, Chris E. 0000-0001-5084-7275 clowrey@usgs.gov","orcid":"https://orcid.org/0000-0001-5084-7275","contributorId":3225,"corporation":false,"usgs":true,"family":"Lowrey","given":"Chris","email":"clowrey@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":700695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Longshore, Kathleen M. 0000-0001-6621-1271 longshore@usgs.gov","orcid":"https://orcid.org/0000-0001-6621-1271","contributorId":2677,"corporation":false,"usgs":true,"family":"Longshore","given":"Kathleen","email":"longshore@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":700694,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188960,"text":"70188960 - 2017 - Using dynamic population simulations to extend resource selection analyses and prioritize habitats for conservation","interactions":[],"lastModifiedDate":"2017-08-09T17:16:09","indexId":"70188960","displayToPublicDate":"2017-06-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Using dynamic population simulations to extend resource selection analyses and prioritize habitats for conservation","docAbstract":"Prioritizing habitats for conservation is a challenging task, particularly for species with fluctuating populations and seasonally dynamic habitat needs. Although the use of resource selection models to identify and prioritize habitat for conservation is increasingly common, their ability to characterize important long-term habitats for dynamic populations are variable. To examine how habitats might be prioritized differently if resource selection was directly and dynamically linked with population fluctuations and movement limitations among seasonal habitats, we constructed a spatially explicit individual-based model for a dramatically fluctuating population requiring temporally varying resources. Using greater sage-grouse (Centrocercus urophasianus) in Wyoming as a case study, we used resource selection function maps to guide seasonal movement and habitat selection, but emergent population dynamics and simulated movement limitations modified long-term habitat occupancy. We compared priority habitats in RSF maps to long-term simulated habitat use. We examined the circumstances under which the explicit consideration of movement limitations, in combination with population fluctuations and trends, are likely to alter predictions of important habitats. In doing so, we assessed the future occupancy of protected areas under alternative population and habitat conditions. Habitat prioritizations based on resource selection models alone predicted high use in isolated parcels of habitat and in areas with low connectivity among seasonal habitats. In contrast, results based on more biologically-informed simulations emphasized central and connected areas near high-density populations, sometimes predicted to be low selection value. Dynamic models of habitat use can provide additional biological realism that can extend, and in some cases, contradict habitat use predictions generated from short-term or static resource selection analyses. The explicit inclusion of population dynamics and movement propensities via spatial simulation modeling frameworks may provide an informative means of predicting long-term habitat use, particularly for fluctuating populations with complex seasonal habitat needs. Importantly, our results indicate the possible need to consider habitat selection models as a starting point rather than the common end point for refining and prioritizing habitats for protection for cyclic and highly variable populations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2017.05.017","usgsCitation":"Heinrichs, J.A., Aldridge, C.L., O’Donnell, M.S., and Schumaker, N., 2017, Using dynamic population simulations to extend resource selection analyses and prioritize habitats for conservation: Ecological Modelling, v. 359, p. 449-459, https://doi.org/10.1016/j.ecolmodel.2017.05.017.","productDescription":"11 p. 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collector in the North Fork Reservoir, Oregon, 2016","title":"Spatial and temporal distribution of bull trout (Salvelinus confluentus)-size fish near the floating surface collector in the North Fork Reservoir, Oregon, 2016","docAbstract":"Acoustic cameras were used to assess the behavior and abundance of bull trout (Salvelinus confluentus)-size fish at the entrance to the North Fork Reservoir juvenile fish floating surface collector (FSC). The purpose of the FSC is to collect downriver migrating juvenile salmonids at the North Fork Dam, and safely route them around the hydroelectric projects. The objective of the acoustic camera component of this study was to assess the behaviors of bull trout-size fish observed near the FSC, and to determine if the presence of bull trout-size fish influenced the collection or abundance of juvenile salmonids. Acoustic cameras were deployed near the surface and floor of the entrance to the FSC. The acoustic camera technology was an informative tool for assessing abundance and spatial and temporal behaviors of bull trout-size fish near the entrance of the FSC. Bull trout-size fish were regularly observed near the entrance, with greater abundances on the deep camera than on the shallow camera. Additionally, greater abundances were observed during the hours of sunlight than were observed during the night. Behavioral differences also were observed at the two depths, with surface fish traveling faster and straighter with more directed movement, and fish observed on the deep camera generally showing more milling behavior. Modeling potential predator-prey interactions and influences using collected passive integrated transponder (PIT) -tagged juvenile salmonids proved largely unpredictable, although these fish provided relevant timing and collection information. Overall, the results indicate that bull trout-size fish are present near the entrance of the FSC, concomitant with juvenile salmonids, and their abundances and behaviors indicate that they may be drawn to the entrance of the FSC because of the abundance of prey-sized fish.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171080","collaboration":"Prepared in cooperation with Portland General Electric","usgsCitation":"Adams, N.S., and Smith, C.D., 2017, Spatial and temporal distribution of bull trout (Salvelinus confluentus)-size fish near the floating surface collector in the North Fork Reservoir, Oregon, 2016: U.S. Geological Survey Open-File Report 2017-1080, 27 p., https://doi.org/10.3133/ofr20171080.","productDescription":"vi, 27 p.","onlineOnly":"Y","ipdsId":"IP-084992","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":342923,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1080/coverthb.jpg"},{"id":342924,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1080/ofr20171080.pdf","text":"Report","size":"4.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1080"}],"country":"United States","state":"Oregon","otherGeospatial":"North Fork Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.29714393615721,\n 45.22104488768461\n ],\n [\n -122.24092483520508,\n 45.22104488768461\n ],\n [\n -122.24092483520508,\n 45.24969422012565\n ],\n [\n -122.29714393615721,\n 45.24969422012565\n ],\n [\n -122.29714393615721,\n 45.22104488768461\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115
An understanding of streamflow alteration in response to various disturbances is necessary for the effective management of stream habitat for a variety of species in Kansas. Streamflow alteration can have negative ecological effects. Using a modeling approach, streamflow alteration was assessed for 129 selected U.S. Geological Survey streamgages in the State for which requisite streamflow and basin-characteristic information was available. The assessment involved a comparison of the observed condition from 1980 to 2015 with the predicted expected (least-disturbed) condition for 29 streamflow metrics. The metrics represent various characteristics of streamflow including average flow (annual, monthly) and low and high flow (frequency, duration, magnitude).
Streamflow alteration in Kansas was indicated locally, regionally, and statewide. Given the absence of a pronounced trend in annual precipitation in Kansas, a precipitation-related explanation for streamflow alteration was not supported. Thus, the likely explanation for streamflow alteration was human activity. Locally, a flashier flow regime (typified by shorter lag times and more frequent and higher peak discharges) was indicated for three streamgages with urbanized basins that had higher percentages of impervious surfaces than other basins in the State. The combination of localized reservoir effects and regional groundwater pumping from the High Plains aquifer likely was responsible, in part, for diminished conditions indicated for multiple streamflow metrics in western and central Kansas. Statewide, the implementation of agricultural land-management practices to reduce runoff may have been responsible, in part, for a diminished duration and magnitude of high flows. In central and eastern Kansas, implemented agricultural land-management practices may have been partly responsible for an inflated magnitude of low flows at several sites.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175046","collaboration":"Prepared in cooperation with the Kansas Department of Wildlife, Parks and Tourism and the U.S. Fish and Wildlife Service","usgsCitation":"Juracek, K.E., and Eng, Ken, 2017, Streamflow alteration at selected sites in Kansas: U.S. Geological Survey Scientific Investigations Report 2017–5046, 75 p., https://doi.org/10.3133/sir20175046.","productDescription":"vii, 75 p.","onlineOnly":"Y","ipdsId":"IP-081919","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":342694,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5046/sir20175046.pdf","text":"Report","size":"17.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5046"},{"id":342693,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5046/coverthb.jpg"}],"country":"United 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U.S. Geological Survey
4821 Quail Crest Place
Lawrence, KS 66049