{"pageNumber":"1045","pageRowStart":"26100","pageSize":"25","recordCount":184717,"records":[{"id":70178090,"text":"70178090 - 2016 - Linking the Central and Southern Appalachian Blue Ridge: What We Know and Don’t Know about Stratigraphy, Structure, Tectonism, and Regional Correlation in the Eastern Blue Ridge of Virginia","interactions":[],"lastModifiedDate":"2020-03-27T09:14:46","indexId":"70178090","displayToPublicDate":"2016-12-27T09:13:18","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Linking the Central and Southern Appalachian Blue Ridge: What We Know and Don’t Know about Stratigraphy, Structure, Tectonism, and Regional Correlation in the Eastern Blue Ridge of Virginia","docAbstract":"The transition from Neoproterozoic Lynchburg Group rocks on the eastern limb of the para-autochthonous Blue Ridge anticlinorium in central Virginia to the fault-bounded Ashe Formation and Alligator Back Formation in southern Virginia has been a source of intense debate and speculation for decades. There are fundamental differences in the tectonogenetic interpretation for these rock packages, despite many similarities in lithology. This problem is compounded by insufficient detailed mapping (1:24,000-scale) in critical key areas of this transition. Lynchburg Group rocks unconformably overlie Mesoproterozoic meta-igneous rocks and underlie Catoctin greenstone on the east limb of the anticlinorium in central Virginia. In southern Virginia, similar metasedimentary lithologies – metasandstone (meta-feldspathic greywacke, meta-quartz arenite, meta-quartz wacke), graphitic schist, and pebble metaconglomerate – and mafic to ultramafic rocks of the Ashe Formation and Alligator Back Formation are faulted onto Mesoproterozoic meta-igneous rocks along the Gossan Lead and Red Valley faults. Internal to the eastern Blue Ridge of southern Virginia, the Rock Castle Creek fault separates Ashe Formation, consisting of Lynchburg-like lithologies, from polydeformed Alligator Back Formation rocks, which crop out in the core of the Ararat River synclinorium. Regional reconnaissance suggests Ashe Formation rocks re-emerge on the eastern limb of the synclinorium. Fundamental and conflicting differences in tectonogenetic models for these rocks compound the problem. The Neoproterozoic Lynchburg Group has long been thought to represent Laurentian margin rift-related rocks, with intrusive mantle-derived dikes and sills of mafic and ultramafic character. In contrast, the Ashe Formation and Alligator Back Formation in southern Virginia and northwestern North Carolina are possibly in part younger, and interpreted to be part of a distal margin accretionary wedge with entrained and tectonically emplaced dismembered ophiolite fragments of mafic and ultramafic rocks. Only detailed mapping in critical areas, coupled with new and emerging geochemical and geochronologic analyses will solve the persistent questions about the various units.","language":"English","publisher":"Carolina Geological Society","usgsCitation":"Carter, M.W., and Merschat, A.J., 2016, Linking the Central and Southern Appalachian Blue Ridge: What We Know and Don’t Know about Stratigraphy, Structure, Tectonism, and Regional Correlation in the Eastern Blue Ridge of Virginia.","ipdsId":"IP-077811","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":373573,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carter, Mark W. 0000-0003-0460-7638 mcarter@usgs.gov","orcid":"https://orcid.org/0000-0003-0460-7638","contributorId":4808,"corporation":false,"usgs":true,"family":"Carter","given":"Mark","email":"mcarter@usgs.gov","middleInitial":"W.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":652717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merschat, Arthur J. 0000-0002-9314-4067 amerschat@usgs.gov","orcid":"https://orcid.org/0000-0002-9314-4067","contributorId":4556,"corporation":false,"usgs":true,"family":"Merschat","given":"Arthur","email":"amerschat@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":652718,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179256,"text":"70179256 - 2016 - Designing occupancy studies when false-positive detections occur","interactions":[],"lastModifiedDate":"2016-12-27T11:42:01","indexId":"70179256","displayToPublicDate":"2016-12-27T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Designing occupancy studies when false-positive detections occur","docAbstract":"1.Recently, estimators have been developed to estimate occupancy probabilities when false-positive detections occur during presence-absence surveys. Some of these estimators combine different types of survey data to improve estimates of occupancy. With these estimators, there is a tradeoff between the number of sample units surveyed, and the number and type of surveys at each sample unit. Guidance on efficient design of studies when false positives occur is unavailable.
2.For a range of scenarios, I identified survey designs that minimized the mean square error of the estimate of occupancy. I considered an approach that uses one survey method and two observation states and an approach that uses two survey methods. For each approach, I used numerical methods to identify optimal survey designs when model assumptions were met and parameter values were correctly anticipated, when parameter values were not correctly anticipated, and when the assumption of no unmodelled detection heterogeneity was violated.
3.Under the approach with two observation states, false positive detections increased the number of recommended surveys, relative to standard occupancy models. If parameter values could not be anticipated, pessimism about detection probabilities avoided poor designs. Detection heterogeneity could require more or fewer repeat surveys, depending on parameter values. If model assumptions were met, the approach with two survey methods was inefficient. However, with poor anticipation of parameter values, with detection heterogeneity, or with removal sampling schemes, combining two survey methods could improve estimates of occupancy.
4.Ignoring false positives can yield biased parameter estimates, yet false positives greatly complicate the design of occupancy studies. Specific guidance for major types of false-positive occupancy models, and for two assumption violations common in field data, can conserve survey resources. This guidance can be used to design efficient monitoring programs and studies of species occurrence, species distribution, or habitat selection, when false positives occur during surveys.
","language":"English","doi":"10.1111/2041-210X.12617","usgsCitation":"Clement, M., 2016, Designing occupancy studies when false-positive detections occur: Methods in Ecology and Evolution, v. 7, no. 12, p. 1529-1547, https://doi.org/10.1111/2041-210X.12617.","productDescription":"19 p.","startPage":"1529","endPage":"1547","ipdsId":"IP-073228","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470312,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.12617","text":"Publisher Index Page"},{"id":332545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":332511,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12617/abstract"}],"volume":"7","issue":"12","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-18","publicationStatus":"PW","scienceBaseUri":"58638bd3e4b0cd2dabe7beac","contributors":{"authors":[{"text":"Clement, Matthew mclement@usgs.gov","contributorId":138815,"corporation":false,"usgs":true,"family":"Clement","given":"Matthew","email":"mclement@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":656555,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70179259,"text":"70179259 - 2016 - Comparing orbiter and rover image-based mapping of an ancient sedimentary environment, Aeolis Palus, Gale crater, Mars","interactions":[],"lastModifiedDate":"2016-12-27T12:47:04","indexId":"70179259","displayToPublicDate":"2016-12-27T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Comparing orbiter and rover image-based mapping of an ancient sedimentary environment, Aeolis Palus, Gale crater, Mars","docAbstract":"This study provides the first systematic comparison of orbital facies maps with detailed ground-based geology observations from the Mars Science Laboratory (MSL) Curiosity rover to examine the validity of geologic interpretations derived from orbital image data. Orbital facies maps were constructed for the Darwin, Cooperstown, and Kimberley waypoints visited by the Curiosity rover using High Resolution Imaging Science Experiment (HiRISE) images. These maps, which represent the most detailed orbital analysis of these areas to date, were compared with rover image-based geologic maps and stratigraphic columns derived from Curiosity’s Mast Camera (Mastcam) and Mars Hand Lens Imager (MAHLI). Results show that bedrock outcrops can generally be distinguished from unconsolidated surficial deposits in high-resolution orbital images and that orbital facies mapping can be used to recognize geologic contacts between well-exposed bedrock units. However, process-based interpretations derived from orbital image mapping are difficult to infer without known regional context or observable paleogeomorphic indicators, and layer-cake models of stratigraphy derived from orbital maps oversimplify depositional relationships as revealed from a rover perspective. This study also shows that fine-scale orbital image-based mapping of current and future Mars landing sites is essential for optimizing the efficiency and science return of rover surface operations.","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2016.02.024","usgsCitation":"Stack, K.M., Edwards, C., Grotzinger, J.P., Gupta, S., Sumner, D., Edgar, L.A., Fraeman, A., Jacob, S., LeDeit, L., Lewis, K., Rice, M., Rubin, D., Calef, F., Edgett, K., Williams, R., and Williford, K.H., 2016, Comparing orbiter and rover image-based mapping of an ancient sedimentary environment, Aeolis Palus, Gale crater, Mars: Icarus, p. 3-21, https://doi.org/10.1016/j.icarus.2016.02.024.","productDescription":"19 p.","startPage":"3","endPage":"21","ipdsId":"IP-065488","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":461993,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.icarus.2016.02.024","text":"External Repository"},{"id":332517,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S0019103516000932"},{"id":332558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58638bd3e4b0cd2dabe7beaa","contributors":{"authors":[{"text":"Stack, Kathryn M. 0000-0003-3444-6695","orcid":"https://orcid.org/0000-0003-3444-6695","contributorId":146791,"corporation":false,"usgs":false,"family":"Stack","given":"Kathryn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":656561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Christopher cedwards@usgs.gov","contributorId":147768,"corporation":false,"usgs":true,"family":"Edwards","given":"Christopher","email":"cedwards@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":656564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grotzinger, J. P.","contributorId":173333,"corporation":false,"usgs":false,"family":"Grotzinger","given":"J.","email":"","middleInitial":"P.","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":656566,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gupta, S.","contributorId":177658,"corporation":false,"usgs":false,"family":"Gupta","given":"S.","email":"","affiliations":[],"preferred":false,"id":656567,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sumner, D.","contributorId":177664,"corporation":false,"usgs":false,"family":"Sumner","given":"D.","affiliations":[],"preferred":false,"id":656573,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":656560,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fraeman, A.","contributorId":177657,"corporation":false,"usgs":false,"family":"Fraeman","given":"A.","affiliations":[],"preferred":false,"id":656565,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jacob, S.","contributorId":177659,"corporation":false,"usgs":false,"family":"Jacob","given":"S.","email":"","affiliations":[],"preferred":false,"id":656568,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"LeDeit, L.","contributorId":177660,"corporation":false,"usgs":false,"family":"LeDeit","given":"L.","email":"","affiliations":[],"preferred":false,"id":656569,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lewis, K.W.","contributorId":177661,"corporation":false,"usgs":false,"family":"Lewis","given":"K.W.","email":"","affiliations":[],"preferred":false,"id":656570,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rice, M.S.","contributorId":177662,"corporation":false,"usgs":false,"family":"Rice","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":656571,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rubin, D.","contributorId":177663,"corporation":false,"usgs":false,"family":"Rubin","given":"D.","affiliations":[],"preferred":false,"id":656572,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Calef, F.","contributorId":177655,"corporation":false,"usgs":false,"family":"Calef","given":"F.","email":"","affiliations":[],"preferred":false,"id":656562,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Edgett, K.","contributorId":177656,"corporation":false,"usgs":false,"family":"Edgett","given":"K.","affiliations":[],"preferred":false,"id":656563,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Williams, R.M.E.","contributorId":167507,"corporation":false,"usgs":false,"family":"Williams","given":"R.M.E.","email":"","affiliations":[{"id":24732,"text":"Planetary Science Institute, Tucson","active":true,"usgs":false}],"preferred":false,"id":656574,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Williford, K. H.","contributorId":177665,"corporation":false,"usgs":false,"family":"Williford","given":"K.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":656575,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70179272,"text":"70179272 - 2016 - Overcoming challenges to the recovery of declining amphibian populations in the United States","interactions":[],"lastModifiedDate":"2016-12-27T12:14:13","indexId":"70179272","displayToPublicDate":"2016-12-27T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Overcoming challenges to the recovery of declining amphibian populations in the United States","docAbstract":"The US Endangered Species Act of 1973 (ESA) affords many potential benefits to species threatened with extinction. However, most at-risk amphibians—one of the most imperiled vertebrate groups—remain unlisted under the provisions of the ESA, and many impediments to recovery exist for those species that have been listed. Of the 35 US amphibian species and distinct population segments (“taxa”) listed under the ESA, 40% currently lack a final (completed) recovery plan, 28.6% lack designated critical habitat, and 8.6% lack both. For taxa that have recovery plans, the time between their listing and the development of those plans was from 2 to 29 years, and the time between their listing and the designation of critical habitat ranged from 0 to 14 years. The underlying causes of such delays in protection are complex and constitute obstacles to recovery of imperiled species. We outline a series of strategic actions by which these challenges may be overcome.","language":"English","publisher":"Oxford","doi":"10.1093/biosci/biw153","usgsCitation":"Walls, S.C., Ball, L.C., Barichivich, W.J., Dodd, K., Enge, K.M., Gorman, T.A., O’Donnell, K., Palis, J.G., and Semlitsch, R.D., 2016, Overcoming challenges to the recovery of declining amphibian populations in the United States: BioScience, https://doi.org/10.1093/biosci/biw153.","onlineOnly":"Y","ipdsId":"IP-076734","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470311,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biw153","text":"Publisher Index Page"},{"id":332553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":332539,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1093/biosci/biw153"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-21","publicationStatus":"PW","scienceBaseUri":"58638bd2e4b0cd2dabe7bea8","contributors":{"authors":[{"text":"Walls, Susan C. 0000-0001-7391-9155 swalls@usgs.gov","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":138952,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","email":"swalls@usgs.gov","middleInitial":"C.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":656620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ball, Lianne C. 0000-0001-9331-0718 lball@usgs.gov","orcid":"https://orcid.org/0000-0001-9331-0718","contributorId":4274,"corporation":false,"usgs":true,"family":"Ball","given":"Lianne","email":"lball@usgs.gov","middleInitial":"C.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":656621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barichivich, William J. 0000-0003-1103-6861 wbarichivich@usgs.gov","orcid":"https://orcid.org/0000-0003-1103-6861","contributorId":3697,"corporation":false,"usgs":true,"family":"Barichivich","given":"William","email":"wbarichivich@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":656622,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dodd, Kenneth","contributorId":177671,"corporation":false,"usgs":false,"family":"Dodd","given":"Kenneth","email":"","affiliations":[],"preferred":false,"id":656627,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Enge, Kevin M","contributorId":177669,"corporation":false,"usgs":false,"family":"Enge","given":"Kevin","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":656623,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gorman, Thomas A.","contributorId":169673,"corporation":false,"usgs":false,"family":"Gorman","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":656624,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Donnell, Katherine M. 0000-0001-9023-174X kmodonnell@usgs.gov","orcid":"https://orcid.org/0000-0001-9023-174X","contributorId":176897,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Katherine M.","email":"kmodonnell@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":656628,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Palis, John G","contributorId":177670,"corporation":false,"usgs":false,"family":"Palis","given":"John","email":"","middleInitial":"G","affiliations":[],"preferred":false,"id":656625,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Semlitsch, Raymond D.","contributorId":174906,"corporation":false,"usgs":false,"family":"Semlitsch","given":"Raymond","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":656626,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70179254,"text":"ofr20161211 - 2016 - Development of a study design and implementation plan to estimate juvenile salmon survival in Lookout Point Reservoir and other reservoirs of the Willamette Project, western Oregon","interactions":[],"lastModifiedDate":"2017-01-02T09:56:52","indexId":"ofr20161211","displayToPublicDate":"2016-12-23T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1211","title":"Development of a study design and implementation plan to estimate juvenile salmon survival in Lookout Point Reservoir and other reservoirs of the Willamette Project, western Oregon","docAbstract":"Survival estimates for juvenile salmon and steelhead fry in reservoirs impounded by high head dams are coveted data by resource managers. However, this information is difficult to obtain because these fish are too small for tagging using conventional methods such as passive-integrated transponders or radio or acoustic transmitters. We developed a study design and implementation plan to conduct a pilot evaluation that would assess the performance of two models for estimating fry survival in a field setting. The first model is a staggered-release recovery model that was described by Skalski and others (2009) and Skalski (2016). The second model is a parentage-based tagging N-mixture model that was developed and described in this document. Both models are conceptually and statistically sound, but neither has been evaluated in the field. In this document we provide an overview of a proposed study for 2017 in Lookout Point Reservoir, Oregon, that will evaluate survival of Chinook salmon fry using both models. This approach will allow us to test each model and compare survival estimates, to determine model performance and better understand these study designs using field-collected data.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161211","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers and the Oregon Department of Fish and Wildlife","usgsCitation":"Kock, T.J., Perry, R.W., Monzyk, F.R., Pope, A.C., and Plumb, J.M., 2016, Development of a study design and implementation plan to estimate juvenile salmon survival in Lookout Point Reservoir and other reservoirs of the Willamette Project, western Oregon: U.S. Geological Survey Open-File Report 2016–1211, 25 p., https://doi.org/10.3133/ofr20161211.","productDescription":"iv, 25 p.","numberOfPages":"34","onlineOnly":"Y","ipdsId":"IP-079919","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332514,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1211/coverthb.jpg"},{"id":332515,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1211/ofr20161211.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1211 Report PDF"}],"country":"United States","state":"Oregon","otherGeospatial":"Dexter Dam, Dexter Reservoir, Lookout Point Reservoir, Lookout Point Dam, Middle Fork Willamette River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.89718627929688,\n 43.91768033000405\n ],\n [\n -122.81410217285155,\n 43.98589821991874\n ],\n [\n -122.64244079589842,\n 43.929055415997134\n ],\n [\n -122.5140380859375,\n 43.82808744469062\n ],\n [\n -122.63626098632812,\n 43.77059798257491\n ],\n [\n -122.75711059570312,\n 43.854830911225235\n ],\n [\n -122.89718627929688,\n 43.91768033000405\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115
http://wfrc.usgs.gov/
","tableOfContents":"- Background
- Lookout Point Reservoir
- Study Designs
- Implementation Plan
- Critical Uncertainties
- Summary
- References Cited
","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-12-23","noUsgsAuthors":false,"publicationDate":"2016-12-23","publicationStatus":"PW","scienceBaseUri":"585e45dbe4b01224f329bf0d","contributors":{"authors":[{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Monzyk, Fred R.","contributorId":177652,"corporation":false,"usgs":false,"family":"Monzyk","given":"Fred","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":656547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pope, Adam C. 0000-0002-7253-2247 apope@usgs.gov","orcid":"https://orcid.org/0000-0002-7253-2247","contributorId":5664,"corporation":false,"usgs":true,"family":"Pope","given":"Adam","email":"apope@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":656548,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Plumb, John M. 0000-0003-4255-1612 jplumb@usgs.gov","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":3569,"corporation":false,"usgs":true,"family":"Plumb","given":"John","email":"jplumb@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656549,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178977,"text":"tm1D6 - 2016 - Continuous-flow centrifugation to collect suspended sediment for chemical analysis","interactions":[],"lastModifiedDate":"2017-01-04T14:42:01","indexId":"tm1D6","displayToPublicDate":"2016-12-22T19:00:00","publicationYear":"2016","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":"1-D6","title":"Continuous-flow centrifugation to collect suspended sediment for chemical analysis","docAbstract":"Recent advances in suspended-sediment monitoring tools and surrogate technologies have greatly improved the ability to quantify suspended-sediment concentrations and to estimate daily, seasonal, and annual suspended-sediment fluxes from rivers to coastal waters. However, little is known about the chemical composition of suspended sediment, and how it may vary spatially between water bodies and temporally within a single system owing to climate, seasonality, land use, and other natural and anthropogenic drivers. Many water-quality contaminants, such as organic and inorganic chemicals, nutrients, and pathogens, preferentially partition in sediment rather than water. Suspended sediment-bound chemical concentrations may be undetected during analysis of unfiltered water samples, owing to small water sample volumes and analytical limitations. Quantification of suspended sediment‑bound chemical concentrations is needed to improve estimates of total chemical concentrations, chemical fluxes, and exposure levels of aquatic organisms and humans in receiving environments. Despite these needs, few studies or monitoring programs measure the chemical composition of suspended sediment, largely owing to the difficulty in consistently obtaining samples of sufficient quality and quantity for laboratory analysis.
A field protocol is described here utilizing continuous‑flow centrifugation for the collection of suspended sediment for chemical analysis. The centrifuge used for development of this method is small, lightweight, and portable for the field applications described in this protocol. Project scoping considerations, deployment of equipment and system layout options, and results from various field and laboratory quality control experiments are described. The testing confirmed the applicability of the protocol for the determination of many inorganic and organic chemicals sorbed on suspended sediment, including metals, pesticides, polycyclic aromatic hydrocarbons, and polychlorinated biphenyls. The particle-size distribution of the captured sediment changes to a more fine-grained sample during centrifugation, and the necessity to account for this change when extrapolating chemical concentrations on the centrifuged sediment sample to the environmental water system is discussed.
The data produced using this method will help eliminate a data gap of suspended sediment-bound chemical concentrations, and will support management decisions, such as chemical source-control efforts or in-stream restoration activities. When coupled with streamflow and sediment flux data, it will improve estimates of riverine chemical fluxes, and will aid in assessing the importance and impacts of suspended sediment-bound chemicals to downstream freshwater and coastal marine ecosystems.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section D: Water quality in Book 1: Collection of water data by direct measurement","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm1D6","collaboration":"Prepared in cooperation with the National Water Quality Monitoring Council and Washington State Department of Ecology","usgsCitation":"Conn, K.E., Dinicola, R.S., Black, R.W., Cox, S.E., Sheibley, R.W., Foreman, J.R., Senter, C.A., and Peterson, N.T., 2016, Continuous-flow centrifugation to collect suspended sediment for chemical analysis: U.S. Geological Survey Techniques and Methods, book 1, chap. D6, 31 p., plus appendixes, https://doi.org/10.3133/tm1D6.","productDescription":"Report: viii, 31 p.; Appendixes: A-E","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-079905","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":332505,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/01/d6/tm1d6_appendixb.pdf","text":"Appendix B","size":"100 KB","linkFileType":{"id":1,"text":"pdf"},"description":"TM1-D6 Appendix B"},{"id":332503,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/01/d6/tm1d6.pdf","text":"Report","size":"2.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM1-D6 Report PDF"},{"id":332504,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/01/d6/tm1d6_appendixa.xlsx","text":"Appendix A","size":"102 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"TM1-D6 Appendix A"},{"id":332506,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/01/d6/tm1d6_appendixc.pdf","text":"Appendix C","size":"142 KB","linkFileType":{"id":1,"text":"pdf"},"description":"TM1-D6 Appendix C"},{"id":332507,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/01/d6/tm1d6_appendixd.pdf","text":"Appendix D","size":"145 KB","linkFileType":{"id":1,"text":"pdf"},"description":"TM1-D6 Appendix D"},{"id":332508,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/01/d6/tm1d6_appendixe.pdf","text":"Appendix E","size":"930 KB","linkFileType":{"id":1,"text":"pdf"},"description":"TM1-D6 Appendix E"},{"id":332502,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/01/d6/coverthb.jpg"}],"publicComments":"This report is Chapter 6 of Section D: Water quality in Book 1: Collection of water data by direct measurement.","contact":"Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402
http://wa.water.usgs.gov
","tableOfContents":"- Abstract
- Introduction
- Description of Continuous-Flow Centrifugation Method
- Quality Control Testing of Continuous-Flow Centrifugation Methods
- Results from Field Testing the Continuous-Flow Centrifugation Methods
- Summary
- Acknowledgments
- References Cited
- Appendixes
","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-12-22","noUsgsAuthors":false,"publicationDate":"2016-12-22","publicationStatus":"PW","scienceBaseUri":"585cf4f4e4b01224f329bca6","contributors":{"authors":[{"text":"Conn, Kathleen E. 0000-0002-2334-6536 kconn@usgs.gov","orcid":"https://orcid.org/0000-0002-2334-6536","contributorId":3923,"corporation":false,"usgs":true,"family":"Conn","given":"Kathleen E.","email":"kconn@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655659,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dinicola, Richard S. 0000-0003-4222-294X dinicola@usgs.gov","orcid":"https://orcid.org/0000-0003-4222-294X","contributorId":352,"corporation":false,"usgs":true,"family":"Dinicola","given":"Richard S.","email":"dinicola@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655660,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Black, Robert W. 0000-0002-4748-8213 rwblack@usgs.gov","orcid":"https://orcid.org/0000-0002-4748-8213","contributorId":1820,"corporation":false,"usgs":true,"family":"Black","given":"Robert","email":"rwblack@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655661,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cox, Stephen E. 0000-0001-6614-8225 secox@usgs.gov","orcid":"https://orcid.org/0000-0001-6614-8225","contributorId":1642,"corporation":false,"usgs":true,"family":"Cox","given":"Stephen","email":"secox@usgs.gov","middleInitial":"E.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sheibley, Richard W. 0000-0003-1627-8536 sheibley@usgs.gov","orcid":"https://orcid.org/0000-0003-1627-8536","contributorId":87452,"corporation":false,"usgs":true,"family":"Sheibley","given":"Richard","email":"sheibley@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":655663,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foreman, James R. 0000-0003-0535-4580 jforeman@usgs.gov","orcid":"https://orcid.org/0000-0003-0535-4580","contributorId":3669,"corporation":false,"usgs":true,"family":"Foreman","given":"James","email":"jforeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":655664,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Senter, Craig A.","contributorId":40310,"corporation":false,"usgs":true,"family":"Senter","given":"Craig A.","affiliations":[],"preferred":false,"id":655665,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Peterson, Norman T. 0000-0001-6071-8741 npeterson@usgs.gov","orcid":"https://orcid.org/0000-0001-6071-8741","contributorId":150043,"corporation":false,"usgs":true,"family":"Peterson","given":"Norman T.","email":"npeterson@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":655666,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70178562,"text":"sir20165167 - 2016 - Evaluating external nutrient and suspended-sediment loads to Upper Klamath Lake, Oregon, using surrogate regressions with real-time turbidity and acoustic backscatter data","interactions":[],"lastModifiedDate":"2017-01-02T09:49:31","indexId":"sir20165167","displayToPublicDate":"2016-12-22T16:00:00","publicationYear":"2016","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":"2016-5167","title":"Evaluating external nutrient and suspended-sediment loads to Upper Klamath Lake, Oregon, using surrogate regressions with real-time turbidity and acoustic backscatter data","docAbstract":"Executive Summary
Suspended-sediment and total phosphorus loads were computed for two sites in the Upper Klamath Basin on the Wood and Williamson Rivers, the two main tributaries to Upper Klamath Lake. High temporal resolution turbidity and acoustic backscatter data were used to develop surrogate regression models to compute instantaneous concentrations and loads on these rivers. Regression models for the Williamson River site showed strong correlations of turbidity with total phosphorus and suspended-sediment concentrations (adjusted coefficients of determination [Adj R2]=0.73 and 0.95, respectively). Regression models for the Wood River site had relatively poor, although statistically significant, relations of turbidity with total phosphorus, and turbidity and acoustic backscatter with suspended sediment concentration, with high prediction uncertainty. Total phosphorus loads for the partial 2014 water year (excluding October and November 2013) were 39 and 28 metric tons for the Williamson and Wood Rivers, respectively. These values are within the low range of phosphorus loads computed for these rivers from prior studies using water-quality data collected by the Klamath Tribes. The 2014 partial year total phosphorus loads on the Williamson and Wood Rivers are assumed to be biased low because of the absence of data from the first 2 months of water year 2014, and the drought conditions that were prevalent during that water year. Therefore, total phosphorus and suspended-sediment loads in this report should be considered as representative of a low-water year for the two study sites. Comparing loads from the Williamson and Wood River monitoring sites for November 2013–September 2014 shows that the Williamson and Sprague Rivers combined, as measured at the Williamson River site, contributed substantially more suspended sediment to Upper Klamath Lake than the Wood River, with 4,360 and 1,450 metric tons measured, respectively.
Surrogate techniques have proven useful at the two study sites, particularly in using turbidity to compute suspended-sediment concentrations in the Williamson River. This proof-of-concept effort for computing total phosphorus concentrations using turbidity at the Williamson and Wood River sites also has shown that with additional samples over a wide range of flow regimes, high-temporal-resolution total phosphorus loads can be estimated on a daily, monthly, and annual basis, along with uncertainties for total phosphorus and suspended-sediment concentrations computed using regression models. Sediment-corrected backscatter at the Wood River has potential for estimating suspended-sediment loads from the Wood River Valley as well, with additional analysis of the variable streamflow measured at that site. Suspended-sediment and total phosphorus loads with a high level of temporal resolution will be useful to water managers, restoration practitioners, and scientists in the Upper Klamath Basin working toward the common goal of decreasing nutrient and sediment loads in Upper Klamath Lake.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165167","collaboration":"Prepared in cooperation with the Bureau of Reclamation and the Klamath Tribes","usgsCitation":"Schenk, L.N., Anderson, C.W., Diaz, Paul, and Stewart, M.A., 2016, Evaluating external nutrient and suspended-sediment loads to Upper Klamath Lake, Oregon, using surrogate regressions with real-time turbidity and acoustic backscatter data: U.S. Geological Survey Scientific Investigations Report 2016–5167, 46 p., https://doi.org/10.3133/sir20165167.","productDescription":"vii, 46 p.","numberOfPages":"58","onlineOnly":"Y","ipdsId":"IP-075160","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":332500,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5167/sir20165167.pdf","text":"Report","size":"6.5","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5167 Report PDF"},{"id":332499,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5167/coverthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.3,\n 42.0\n ],\n [\n -122.3,\n 43.3\n ],\n [\n -120.4,\n 43.3\n ],\n [\n -120.4,\n 42.0\n ],\n [\n -122.3,\n 42.0\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
http://or.water.usgs.gov
","tableOfContents":"- Executive Summary
- Introduction
- Data Collection and Methods
- Suspended-Sediment Surrogate Models
- Nutrient Sample Results
- Total Phosphorus Surrogate Models
- Discussion
- Acknowledgments
- References Cited
- Appendixes A-D
","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-12-22","noUsgsAuthors":false,"publicationDate":"2016-12-22","publicationStatus":"PW","scienceBaseUri":"585cf4f4e4b01224f329bca8","contributors":{"authors":[{"text":"Schenk, Liam N. 0000-0002-2491-0813 lschenk@usgs.gov","orcid":"https://orcid.org/0000-0002-2491-0813","contributorId":4273,"corporation":false,"usgs":true,"family":"Schenk","given":"Liam","email":"lschenk@usgs.gov","middleInitial":"N.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Chauncey W. 0000-0002-1016-3781 chauncey@usgs.gov","orcid":"https://orcid.org/0000-0002-1016-3781","contributorId":139268,"corporation":false,"usgs":true,"family":"Anderson","given":"Chauncey","email":"chauncey@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":654371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diaz, Paul 0000-0002-3086-7663 pdiaz@usgs.gov","orcid":"https://orcid.org/0000-0002-3086-7663","contributorId":177042,"corporation":false,"usgs":true,"family":"Diaz","given":"Paul","email":"pdiaz@usgs.gov","affiliations":[],"preferred":true,"id":654372,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stewart, Marc A. 0000-0003-1140-6316 mastewar@usgs.gov","orcid":"https://orcid.org/0000-0003-1140-6316","contributorId":2277,"corporation":false,"usgs":true,"family":"Stewart","given":"Marc","email":"mastewar@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654373,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179196,"text":"ofr20161210 - 2016 - Survival of juvenile chinook salmon and coho salmon in the Roza Dam fish bypass and in downstream reaches of the Yakima River, Washington, 2016","interactions":[],"lastModifiedDate":"2017-04-12T14:29:20","indexId":"ofr20161210","displayToPublicDate":"2016-12-22T15:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1210","title":"Survival of juvenile chinook salmon and coho salmon in the Roza Dam fish bypass and in downstream reaches of the Yakima River, Washington, 2016","docAbstract":"Estimates of juvenile salmon survival are important data for fishery managers in the Yakima River Basin. Radiotelemetry studies during 2012–14 showed that tagged juvenile Chinook salmon (Oncorhynchus tshawytscha) that passed through the fish bypass at Roza Dam had lower survival than fish that passed through other routes at the dam. That study also identified flow-survival relationships in the reaches between the Roza Dam tailrace and Sunnyside Dam. During 2012–14, survival also was estimated through reaches downstream of Sunnyside Dam, but generally, sample sizes were low and the estimates were imprecise. In 2016, we conducted an evaluation using acoustic cameras and acoustic telemetry to build on information collected during the previous study. The goal of the 2016 research was to identify areas where mortality occurs in the fish bypass at Roza Dam, and to estimate reach-specific survival in reaches downstream of the dam. The 2016 study included juvenile Chinook salmon and coho salmon (O. kisutch).
Three acoustic cameras were used to observe fish behavior (1) near the entrances to the fish bypass, (2) at a midway point in the fish bypass (convergence vault), and (3) at the bypass outfall. In total, 504 hours of acoustic camera footage was collected at these locations. We determined that smolt-sized fish (95–170 millimeters [mm]) were present in the highest proportions at each location, but predator-sized fish (greater than 250 mm) also were present at each site. Fish presence generally peaked during nighttime hours and crepuscular periods, and was low during daytime hours. In the convergence vault, smolt-sized fish exhibited holding behavior patterns, which may explain why some fish delayed while passing through the bypass.
Some of the acoustic-tagged fish were delayed in the fish bypass following release, but there was no evidence to suggest that they experienced higher mortality than fish that were released at the bypass outfall or downstream of the dam. Most of the tagged fish that were released in the fish bypass moved downstream and re-entered the river within 12 hours, but 9.8 percent of the Chinook salmon and 15.7 percent of the coho salmon remained in the bypass for 2.5–17.4 days. We developed a set of models for Chinook salmon and coho salmon and used model selection to determine if release site was an important predictor of survival of tagged fish. The models that provided the best fit to the Chinook salmon and coho salmon datasets did not include release site as a covariate. Furthermore, survival estimates for groups of fish from the various release sites were nearly identical for both species. Based on these observations, it appears that passage through the fish bypass did not result in increased mortality relative to groups of fish released downstream of the bypass.
Juvenile Chinook salmon migrated downstream faster than juvenile coho salmon and survival for each species varied with release timing. Median travel time from release at Roza Dam to arrival at a detection gate located at river kilometer (rkm) 527.8 on the Columbia River was 15.4 days for Chinook salmon and 37.4 days for coho salmon. Cumulative survival from Roza Dam to the Columbia River detection gate ranged from 0.299 to 0.678 for Chinook salmon, and from 0.321 to 0.627 for coho salmon. Survival was highest for both species when tagged fish were released in mid-April and lowest when tagged fish were released in early-May. Reach-specific survival estimates were standardized to create estimates that described survival per 100 rkm, which showed that survival was very low (less than 0.500) for some release groups, particularly in the Roza, Sunnyside, and Chandler diversion reaches. A more extensive analysis of reach-specific survival is planned for this dataset, which should provide insights into covariates that affected survival during 2016.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161210","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Kock, T.J., Perry, R.W., and Hansen, A.C., 2016, Survival of juvenile Chinook salmon and coho salmon in the Roza Dam fish bypass and in downstream reaches of the Yakima River, Washington, (ver. 1.1, April 2017): U.S. Geological Survey Open-File Report 2016–1210, 32 p., https://doi.org/10.3133/ofr20161210.","productDescription":"vi, 32 p.","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-079554","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332490,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1210/ofr20161210.pdf","text":"Report","size":"9.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1210 Report PDF"},{"id":339521,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2016/1210/versionHist.txt","text":"Version 1.1","size":"3 KB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2016-1210 Version History"},{"id":339519,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1210/coverthb3.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Roza Dam, Yakima River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.53076171875,\n 46.14178273759234\n ],\n [\n -121.53076171875,\n 47.46523622438362\n ],\n [\n -119.04235839843749,\n 47.46523622438362\n ],\n [\n -119.04235839843749,\n 46.14178273759234\n ],\n [\n -121.53076171875,\n 46.14178273759234\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: Originally posted December 22, 2016; Version 1.1: April 10, 2017","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115
https://wfrc.usgs.gov/
","tableOfContents":"- Executive Summary
- Introduction
- Study Area
- Monitoring Techniques
- Fish Collection, Tagging, and Release
- Data Analysis
- Results
- Discussion
- Summary
- Acknowledgments
- References Cited
","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-12-22","revisedDate":"2017-04-10","noUsgsAuthors":false,"publicationDate":"2016-12-22","publicationStatus":"PW","scienceBaseUri":"585cf4f5e4b01224f329bcaa","contributors":{"authors":[{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Amy C. 0000-0002-0298-9137 achansen@usgs.gov","orcid":"https://orcid.org/0000-0002-0298-9137","contributorId":4350,"corporation":false,"usgs":true,"family":"Hansen","given":"Amy","email":"achansen@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656360,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179219,"text":"70179219 - 2016 - Assessment of dreissenid biodeposits as a potential food resource for invasive Asian carp","interactions":[],"lastModifiedDate":"2016-12-22T09:02:27","indexId":"70179219","displayToPublicDate":"2016-12-22T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":994,"text":"BioInvasions Records","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of dreissenid biodeposits as a potential food resource for invasive Asian carp","docAbstract":"Silver carp (Hypophthalmichthys molitrix) and bighead carp (H. nobilis) are poised to invade the Laurentian Great Lakes. Zebra mussels (Dreissena polymorpha) and quagga mussels (D. rostriformis bugensis) have shifted nutrient pathways towards the benthos, partly through deposition of feces and rejected food particles called biodeposits. When biodeposit material was fed to bighead and silver carp, they fed on the material, but on average lost weight. Energy density between fed and unfed fish did not differ, but a few individual fish did gain weight on the biodeposits diet. Our results demonstrate that biodeposits might be considered a supplemental food for bigheaded carps.
","language":"English","publisher":"REABIC","publisherLocation":"Helsinki","doi":"10.3391/bir.2016.5.4.10","usgsCitation":"Anderson, K.R., Chapman, D., and Hayer, C., 2016, Assessment of dreissenid biodeposits as a potential food resource for invasive Asian carp: BioInvasions Records, v. 5, no. 4, p. 251-257, https://doi.org/10.3391/bir.2016.5.4.10.","productDescription":"7 p.","startPage":"251","endPage":"257","ipdsId":"IP-057327","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":470313,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/bir.2016.5.4.10","text":"Publisher Index Page"},{"id":332456,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Pere Marquette Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.466667,\n 43.959167\n ],\n [\n -86.466667,\n 43.916667\n ],\n [\n -86.413889,\n 43.916667\n ],\n [\n -86.413889,\n 43.959167\n ],\n [\n -86.466667,\n 43.959167\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585cf4f7e4b01224f329bcae","contributors":{"authors":[{"text":"Anderson, Karl R. 0000-0002-8584-1225 karlanderson@usgs.gov","orcid":"https://orcid.org/0000-0002-8584-1225","contributorId":5113,"corporation":false,"usgs":true,"family":"Anderson","given":"Karl","email":"karlanderson@usgs.gov","middleInitial":"R.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":656431,"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":656432,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayer, Cari-Ann chayer@usgs.gov","contributorId":150040,"corporation":false,"usgs":true,"family":"Hayer","given":"Cari-Ann","email":"chayer@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":656433,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179191,"text":"70179191 - 2016 - Simulated effects of nitrogen saturation the global carbon budget using the IBIS model","interactions":[],"lastModifiedDate":"2016-12-21T11:15:55","indexId":"70179191","displayToPublicDate":"2016-12-21T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Simulated effects of nitrogen saturation the global carbon budget using the IBIS model","docAbstract":"Over the past 100 years, human activity has greatly changed the rate of atmospheric N (nitrogen) deposition in terrestrial ecosystems, resulting in N saturation in some regions of the world. The contribution of N saturation to the global carbon budget remains uncertain due to the complicated nature of C-N (carbon-nitrogen) interactions and diverse geography. Although N deposition is included in most terrestrial ecosystem models, the effect of N saturation is frequently overlooked. In this study, the IBIS (Integrated BIosphere Simulator) was used to simulate the global-scale effects of N saturation during the period 1961–2009. The results of this model indicate that N saturation reduced global NPP (Net Primary Productivity) and NEP (Net Ecosystem Productivity) by 0.26 and 0.03 Pg C yr−1, respectively. The negative effects of N saturation on carbon sequestration occurred primarily in temperate forests and grasslands. In response to elevated CO2 levels, global N turnover slowed due to increased biomass growth, resulting in a decline in soil mineral N. These changes in N cycling reduced the impact of N saturation on the global carbon budget. However, elevated N deposition in certain regions may further alter N saturation and C-N coupling.
","language":"English","publisher":"Springer Nature","doi":"10.1038/srep39173","usgsCitation":"Lu, X., Jiang, H., Liu, J., Zhang, X., Jin, J., Zhu, Q., Zhang, Z., and Peng, C., 2016, Simulated effects of nitrogen saturation the global carbon budget using the IBIS model: Scientific Reports, v. 6, p. 1-10, https://doi.org/10.1038/srep39173.","productDescription":"Article 39173 ; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-064996","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":470314,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep39173","text":"Publisher Index Page"},{"id":332406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-14","publicationStatus":"PW","scienceBaseUri":"585ba2e8e4b01224f329b968","contributors":{"authors":[{"text":"Lu, Xuehe","contributorId":175216,"corporation":false,"usgs":false,"family":"Lu","given":"Xuehe","email":"","affiliations":[{"id":27538,"text":"International Institute for Earth System Science, Nanjing University, Xianlin Avenue 163, Nanjing 210093","active":true,"usgs":false}],"preferred":false,"id":656312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiang, Hong","contributorId":33200,"corporation":false,"usgs":true,"family":"Jiang","given":"Hong","affiliations":[],"preferred":false,"id":656313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":656314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhang, Xiuying","contributorId":175218,"corporation":false,"usgs":false,"family":"Zhang","given":"Xiuying","email":"","affiliations":[{"id":27538,"text":"International Institute for Earth System Science, Nanjing University, Xianlin Avenue 163, Nanjing 210093","active":true,"usgs":false}],"preferred":false,"id":656315,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jin, Jiaxin","contributorId":13561,"corporation":false,"usgs":true,"family":"Jin","given":"Jiaxin","affiliations":[],"preferred":false,"id":656316,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhu, Qiuan","contributorId":85065,"corporation":false,"usgs":true,"family":"Zhu","given":"Qiuan","affiliations":[],"preferred":false,"id":656317,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhang, Zhen","contributorId":94945,"corporation":false,"usgs":true,"family":"Zhang","given":"Zhen","affiliations":[],"preferred":false,"id":656318,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Peng, Changhui","contributorId":8357,"corporation":false,"usgs":true,"family":"Peng","given":"Changhui","affiliations":[],"preferred":false,"id":656319,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70180995,"text":"70180995 - 2016 - Feline immunodeficiency virus cross-species transmission: Implications for emergence of new lentiviral infections","interactions":[],"lastModifiedDate":"2017-02-15T14:52:29","indexId":"70180995","displayToPublicDate":"2016-12-21T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2497,"text":"Journal of Virology","active":true,"publicationSubtype":{"id":10}},"title":"Feline immunodeficiency virus cross-species transmission: Implications for emergence of new lentiviral infections","docAbstract":"Owing to a complex history of host-parasite coevolution, lentiviruses exhibit a high degree of species specificity. Given the well-documented viral archeology of HIV emergence following human exposures to SIV, understanding processes that promote successful cross-species lentiviral transmissions is highly relevant. We have previously reported natural cross-species transmission of a subtype of feline immunodeficiency virus, puma lentivirus A (PLVA), between bobcats (Lynx rufus) and mountain lions (Puma concolor) in a small number of animals in California and Florida. In this study we investigate host-specific selection pressures, within-host viral fitness, and inter- vs. intra-species transmission patterns among a larger collection of PLV isolates from free-ranging bobcats and mountain lions. Analysis of proviral and viral RNA levels demonstrates that PLVA fitness is severely restricted in mountain lions compared to bobcats. We document evidence of diversifying selection in three of six PLVA genomes from mountain lions, but did not detect selection among twenty PLVA isolates from bobcats. These findings support that PLVA is a bobcat-adapted virus, which is less fit in mountain lions and under intense selection pressure in the novel host. Ancestral reconstruction of transmission events reveals intraspecific PLVA transmission has occurred among panthers (Puma concolor coryi) in Florida following initial cross-species infection from bobcats. In contrast, interspecific transmission from bobcats to mountain lions predominates in California. These findings document outcomes of cross-species lentiviral transmission events among felids that compare to emergence of HIV from nonhuman primates.
IMPORTANCE Cross-species transmission episodes can be singular, dead-end events or can result in viral replication and spread in the new species. The factors that determine which outcome will occur are complex, and the risk of new virus emergence is therefore difficult to predict. Here we use molecular techniques to evaluate transmission, fitness, and adaptation of puma lentivirus A (PLVA) between bobcats and mountain lions in two geographic regions. Our findings illustrate that mountain lion exposure to PLVA is relatively common, but does not routinely result in infections communicable in the new host. This is attributed to efficient species barriers that largely prevent lentiviral adaptation. However, the evolutionary capacity for lentiviruses to adapt to novel environments may ultimately overcome host restriction mechanisms over time and under certain ecological circumstances. This phenomenon provides a unique opportunity to examine cross-species transmission events leading to new lentiviral emergence.
Discharge from springs in Florida is sourced from aquifers, such as the Upper Floridan aquifer, which is overlain by an upper confining unit that locally can have properties of an aquifer. Water levels in aquifers are affected by several factors, such as precipitation, recharge, and groundwater withdrawals, which in turn can affect discharge from springs. Therefore, identifying groundwater sources and recharge characteristics can be important in assessing how these factors might affect flows and water levels in springs and can be informative in broader applications such as groundwater modeling. Recharge characteristics include the residence time of water at the surface, apparent age of recharge, and recharge water temperature.
The groundwater sources and recharge characteristics of three springs that discharge from the banks of the Suwannee River in northern Florida were assessed for this study: Bell Springs, White Springs, and Suwannee Springs. Sources of groundwater were also assessed for a 150-foot-deep well finished within the Upper Floridan aquifer, hereafter referred to as the UFA well. Water samples were collected for geochemical analyses in November 2012 and October 2013 from the three springs and the UFA well. Samples were analyzed for a suite of major ions, dissolved gases, and isotopes of sulfur, strontium, oxygen, and hydrogen. Daily means of water level and specific conductance at White Springs were continuously recorded from October 2012 through December 2013 by the Suwannee River Water Management District. Suwannee River stage at White Springs was computed on the basis of stage at a U.S. Geological Survey streamgage about 2.4 miles upstream. Water levels in two wells, located about 2.5 miles northwest and 13 miles southeast of White Springs, were also used in the analyses.
Major ion concentrations were used to differentiate water from the springs and Upper Floridan aquifer into three groups: Bell Springs, UFA well, and White and Suwannee Springs. When considered together, evidence from water-level, specific conductance, major-ion concentration, and isotope data indicated that groundwater at Bell Springs and the UFA well was a mixture of surface water and groundwater from the upper confining unit, and that groundwater at White and Suwannee Springs was a mixture of surface water, groundwater from the upper confining unit, and groundwater from the Upper Floridan aquifer. Higher concentrations of magnesium in groundwater samples at the UFA well than in samples at Bell Springs might indicate less mixing with surface water at the UFA well than at Bell Springs. Characteristics of surface-water recharge, such as residence time at the surface, apparent age, and recharge water temperature, were estimated on the basis of isotopic ratios, and dissolved concentrations of gases such as argon, tritium, and sulfur hexafluoride. Oxygen and deuterium isotopic ratios were consistent with rapid recharge by rainwater for samples collected in 2012, and longer residence time at the surface (ponding) for samples collected in 2013. Apparent ages of groundwater samples, computed on the basis of tritium activity and sulfur hexafluoride concentration, indicated groundwater recharge occurred after the late 1980s; however, the estimated apparent ages likely represent the average of ages of multiple sources. Recharge since the 1980s is consistent with groundwater from shallow sources, such as the upper confining unit and Upper Floridan aquifer. Recharge water temperature computed for the three springs and UFA well averaged 20.1 degrees Celsius, which is similar to the mean annual air temperature of 20.6 degrees Celsius at a nearby weather station for 1960–2014.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161190","collaboration":"Prepared in cooperation with the Suwannee River Water Management District","usgsCitation":"Stamm, J.F., and McBride, W.S., 2016, Sources of groundwater and characteristics of surface-water recharge at Bell, White, and Suwannee Springs, Florida: 2012–13: U.S. Geological Survey Open-File Report 2016–1190, 27 p., https://doi.org/10.3133/ofr20161190.","productDescription":"vii, 27 p.","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-066218","costCenters":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"links":[{"id":332418,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1190/coverthb.jpg"},{"id":332419,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1190/ofr20161190.pdf","text":"Report","size":"1.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1190"}],"country":"United States","state":"Florida","otherGeospatial":"Bell Spring, Suwannee Spring, White Spring","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.033333,\n 30.583333\n ],\n [\n -83.033333,\n 30.166667\n ],\n [\n -82.616667,\n 30.166667\n ],\n [\n -82.616667,\n 30.583333\n ],\n [\n -83.033333,\n 30.583333\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
http://fl.water.usgs.gov/
","tableOfContents":"- Acknowledgments
- Abstract
- Introduction
- Methods of Investigation
- Sources of Groundwater
- Characteristics of Recharge
- Summary
- References Cited
","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2016-12-21","noUsgsAuthors":false,"publicationDate":"2016-12-21","publicationStatus":"PW","scienceBaseUri":"585ba2eae4b01224f329b96e","contributors":{"authors":[{"text":"Stamm, John F. 0000-0002-3404-2933 jstamm@usgs.gov","orcid":"https://orcid.org/0000-0002-3404-2933","contributorId":149144,"corporation":false,"usgs":true,"family":"Stamm","given":"John","email":"jstamm@usgs.gov","middleInitial":"F.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":653900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McBride, W. Scott","contributorId":15293,"corporation":false,"usgs":true,"family":"McBride","given":"W. Scott","affiliations":[],"preferred":false,"id":653899,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179188,"text":"70179188 - 2016 - Quantifying the effects of research band resighting activities on staging terns in comparison to other disturbances","interactions":[],"lastModifiedDate":"2016-12-21T11:19:43","indexId":"70179188","displayToPublicDate":"2016-12-21T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the effects of research band resighting activities on staging terns in comparison to other disturbances","docAbstract":"Avian research that involves potential disturbance to the study species may have unintended fitness consequences and could lead to biases in measurements of interest. The effects of band resighting on the behavior of mixed-species flocks of staging waterbirds were evaluated against recreational pedestrian activity that was expected to cause flushing. We found a model with additive effects of distance (near, 0-50 m, or far, 50-200 m) and disturbance type (researcher or pedestrian) best explained flock behaviors. The proportion of staging flocks that flushed in response to pedestrians was greatest when pedestrians were within 50 m of the flock. Virtually no flushes were observed in response to researchers, regardless of distance. These results could assist in alleviating concerns that accepted protocols used for intensive band resighting studies on staging seabirds of special conservation status, such as Roseate (Sterna dougallii) and Common (S. hirundo) terns, may have adverse effects. Our framework could be used by others to test the effects of similar research on sensitive species.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.039.0412","usgsCitation":"Althouse, M., Cohen, J., Spendelow, J.A., Karpanty, S.M., Davis, K.L., Parsons, K.C., and Luttazi, C.F., 2016, Quantifying the effects of research band resighting activities on staging terns in comparison to other disturbances: Waterbirds, v. 39, no. 4, p. 417-421, https://doi.org/10.1675/063.039.0412.","productDescription":"5 p.","startPage":"417","endPage":"421","ipdsId":"IP-074129","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":332407,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585ba2e9e4b01224f329b96a","contributors":{"authors":[{"text":"Althouse, Melissa","contributorId":177593,"corporation":false,"usgs":false,"family":"Althouse","given":"Melissa","affiliations":[],"preferred":false,"id":656320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, Jonathan B.","contributorId":77252,"corporation":false,"usgs":true,"family":"Cohen","given":"Jonathan B.","affiliations":[],"preferred":false,"id":656321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spendelow, Jeffrey A. 0000-0001-8167-0898 jspendelow@usgs.gov","orcid":"https://orcid.org/0000-0001-8167-0898","contributorId":4355,"corporation":false,"usgs":true,"family":"Spendelow","given":"Jeffrey","email":"jspendelow@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":656322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karpanty, Sarah M.","contributorId":63307,"corporation":false,"usgs":false,"family":"Karpanty","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":656323,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, Kayla L.","contributorId":177595,"corporation":false,"usgs":false,"family":"Davis","given":"Kayla","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":656324,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parsons, Katharine C.","contributorId":113691,"corporation":false,"usgs":true,"family":"Parsons","given":"Katharine","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":656325,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Luttazi, Cristin F.","contributorId":177596,"corporation":false,"usgs":false,"family":"Luttazi","given":"Cristin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":656326,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70181022,"text":"70181022 - 2016 - Space use and habitat selection by resident and transient red wolves (Canis rufus)","interactions":[],"lastModifiedDate":"2017-02-11T15:58:46","indexId":"70181022","displayToPublicDate":"2016-12-21T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Space use and habitat selection by resident and transient red wolves (Canis rufus)","docAbstract":"Recovery of large carnivores remains a challenge because complex spatial dynamics that facilitate population persistence are poorly understood. In particular, recovery of the critically endangered red wolf (Canis rufus) has been challenging because of its vulnerability to extinction via human-caused mortality and hybridization with coyotes (Canis latrans). Therefore, understanding red wolf space use and habitat selection is important to assist recovery because key aspects of wolf ecology such as interspecific competition, foraging, and habitat selection are well-known to influence population dynamics and persistence. During 2009–2011, we used global positioning system (GPS) radio-telemetry to quantify space use and 3rd-order habitat selection for resident and transient red wolves on the Albemarle Peninsula of eastern North Carolina. The Albemarle Peninsula was a predominantly agricultural landscape in which red wolves maintained spatially stable home ranges that varied between 25 km2 and 190 km2. Conversely, transient red wolves did not maintain home ranges and traversed areas between 122 km2 and 681 km2. Space use by transient red wolves was not spatially stable and exhibited shifting patterns until residency was achieved by individual wolves. Habitat selection was similar between resident and transient red wolves in which agricultural habitats were selected over forested habitats. However, transients showed stronger selection for edges and roads than resident red wolves. Behaviors of transient wolves are rarely reported in studies of space use and habitat selection because of technological limitations to observed extensive space use and because they do not contribute reproductively to populations. Transients in our study comprised displaced red wolves and younger dispersers that competed for limited space and mating opportunities. Therefore, our results suggest that transiency is likely an important life-history strategy for red wolves that facilitates metapopulation dynamics through short- and long-distance movements and eventual replacement of breeding residents lost to mortality.
","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0167603","usgsCitation":"Hinton, J.W., Proctor, C., Kelly, M.J., van Manen, F.T., Vaughan, M.R., and Chamberlain, M.J., 2016, Space use and habitat selection by resident and transient red wolves (Canis rufus): PLoS ONE, v. 11, no. 12, e0167603; 17 p., https://doi.org/10.1371/journal.pone.0167603.","productDescription":"e0167603; 17 p.","ipdsId":"IP-078762","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":470316,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0167603","text":"Publisher Index Page"},{"id":335165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Albemarle Peninsula ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n 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J.","contributorId":179348,"corporation":false,"usgs":false,"family":"Kelly","given":"Marcella","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":663338,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":663335,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vaughan, Michael R.","contributorId":179349,"corporation":false,"usgs":false,"family":"Vaughan","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":663339,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chamberlain, Michael J.","contributorId":179350,"corporation":false,"usgs":false,"family":"Chamberlain","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":663340,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70178811,"text":"sir20165170 - 2016 - Ambient water quality in aquifers used for drinking-water supplies, Gem County, southwestern Idaho, 2015","interactions":[],"lastModifiedDate":"2016-12-21T09:46:40","indexId":"sir20165170","displayToPublicDate":"2016-12-20T18:00:00","publicationYear":"2016","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":"2016-5170","title":"Ambient water quality in aquifers used for drinking-water supplies, Gem County, southwestern Idaho, 2015","docAbstract":"In recent years, the rapid population growth in Gem County, Idaho, has been similar to other counties in southwestern Idaho, increasing about 54 percent from 1990 to 2015. Because the entire population of the study area depends on groundwater for drinking water supply (either from self-supplied domestic, community, or municipal-supply wells), this population growth, along with changes in land use (including potential petroleum exploration and development), indicated to the public and local officials the need to assess the quality of groundwater used for human consumption. To this end, the U.S. Geological Survey, in cooperation with Gem County and the Idaho Department of Environmental Quality, assessed the quality of groundwater from freshwater aquifers used for domestic supply in Gem County. A total of 47 domestic or municipal wells, 1 spring, and 2 surface-water sites on the Payette River were sampled during September 8–November 19, 2015. The sampled water was analyzed for a variety of constituents, including major ions, trace elements, nutrients, bacteria, radionuclides, dissolved gasses, stable isotopes of water and methane, and either volatile organic compounds (VOCs) or pesticides.
To better understand analytical results, a conceptual hydrogeologic framework was developed in which three hydrogeologic units were described: Quaternary-Tertiary deposits (QTd), Tertiary Idaho Group rocks (Tig), and Tertiary-Cretaceous igneous rocks (TKi). Water levels were measured in 30 wells during sampling, and a groundwater-level altitude map was constructed for the QTd and Tig units showing groundwater flow toward the Emmett Valley and Payette River.
Analytical results indicate that groundwater in Gem County is generally of good quality. Samples collected from two wells contained water with fluoride concentrations greater than the U.S. Environmental Protection Agency (EPA) Maximum Contaminant Level (MCL) of 4 milligrams per liter (mg/L), six wells contained arsenic at concentrations greater than the EPA MCL of 10 micrograms per liter, and a sample from one well exceeded the MCL of 15 picocuries per liter for alpha particles. Although previous samples collected from some wells in Gem County contained nitrate concentrations greater than the MCL of 10 mg/L, the largest concentration detected in the current study was 5.2 mg/L. Total coliform bacteria was detected in four groundwater samples.
Three volatile organic compounds (VOCs) were detected in samples collected from five wells, and five compounds of the triazine class of herbicides were detected in samples from five wells; no concentrations were greater than applicable EPA MCLs. Methane was detected in samples from 36 wells, with the concentration in 1 well large enough to be considered an explosion hazard by U.S. Office of Surface Mining guidelines. Stable isotope signatures of methane in six samples suggest that naturally occurring methane in Gem County is probably of both thermogenic and biogenic origin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165170","collaboration":"Prepared in cooperation with Gem County, Idaho, and the Idaho Department of Environmental Quality","usgsCitation":"Bartolino, J.R., and Hopkins, C.B., 2016, Ambient water quality in aquifers used for drinking-water supplies, Gem County, southwestern Idaho, 2015: U.S. Geological Survey Scientific Investigations Report 2016–5170, 33 p.,\nhttps://doi.org/10.3133/sir20165170.","productDescription":"Report: v, 33 p.; Appendix A","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-064719","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":332304,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5170/sir20165170.pdf","text":"Report","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5170 Report PDF"},{"id":332305,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5170/sir20165170_appendixa.xlsx","text":"Appendix A","size":"118 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016-5170 Appendix A"},{"id":332303,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5170/coverthb.jpg"}],"country":"United States","state":"Idaho","county":"Gem County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-116.1583,44.5002],[-116.1513,44.5002],[-116.1529,44.4122],[-116.1534,44.3251],[-116.2141,44.3253],[-116.2132,44.2387],[-116.2133,44.194],[-116.2142,44.1521],[-116.2327,44.1523],[-116.255,44.1529],[-116.2754,44.1531],[-116.2751,44.0952],[-116.2741,44.0802],[-116.2744,44.0674],[-116.2736,44.0364],[-116.2725,43.9954],[-116.2722,43.9822],[-116.2735,43.9098],[-116.2737,43.8947],[-116.2756,43.8227],[-116.2759,43.8077],[-116.286,43.808],[-116.4357,43.8087],[-116.4744,43.8085],[-116.5113,43.8071],[-116.7113,43.8072],[-116.7112,43.8385],[-116.7102,43.8677],[-116.7107,43.8827],[-116.7105,43.8968],[-116.7121,43.9834],[-116.6529,43.983],[-116.6339,43.9828],[-116.6116,43.9832],[-116.5926,43.9835],[-116.5729,43.9833],[-116.5726,43.9956],[-116.573,44.0093],[-116.5533,44.0092],[-116.5342,44.009],[-116.5347,44.024],[-116.5338,44.0382],[-116.5336,44.0532],[-116.534,44.066],[-116.5124,44.0654],[-116.4926,44.0652],[-116.4532,44.0658],[-116.4493,44.1534],[-116.4111,44.153],[-116.3901,44.1533],[-116.3556,44.1529],[-116.3546,44.1834],[-116.3541,44.1903],[-116.3537,44.198],[-116.3539,44.2049],[-116.3458,44.2127],[-116.3435,44.221],[-116.3449,44.2269],[-116.3464,44.2341],[-116.3472,44.2405],[-116.3499,44.2469],[-116.345,44.2551],[-116.3435,44.2679],[-116.3444,44.2788],[-116.3466,44.2893],[-116.3462,44.2989],[-116.3419,44.3049],[-116.3454,44.3135],[-116.3455,44.319],[-116.3457,44.3249],[-116.342,44.3304],[-116.3383,44.3368],[-116.3341,44.3451],[-116.3324,44.3529],[-116.3377,44.3605],[-116.3366,44.366],[-116.3302,44.3679],[-116.3297,44.3734],[-116.3267,44.3808],[-116.3276,44.3894],[-116.3251,44.3922],[-116.324,44.3968],[-116.3204,44.4087],[-116.312,44.4261],[-116.3009,44.4445],[-116.2927,44.4496],[-116.2878,44.4552],[-116.2776,44.4585],[-116.2674,44.4609],[-116.2592,44.4647],[-116.2522,44.4652],[-116.2451,44.4635],[-116.2387,44.4654],[-116.235,44.4709],[-116.2309,44.4828],[-116.2285,44.4892],[-116.2235,44.4957],[-116.2211,44.5016],[-116.2174,44.5067],[-116.2091,44.5073],[-116.1935,44.4974],[-116.1857,44.4957],[-116.1583,44.5002]]]},\"properties\":{\"name\":\"Gem\",\"state\":\"ID\"}}]}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702
http://id.water.usgs.gov
","tableOfContents":"- Abstract
- Introduction
- Description of Study Area
- Previous Work
- Study Methods
- Hydrogeology
- Ambient Water Quality
- Additional Needs for Groundwater-Quality Monitoring
- Summary and Conclusions
- Acknowledgments
- References Cited
- Appendix A. Water-Quality Data
","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-12-20","noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"585a51a6e4b01224f329b5d7","contributors":{"authors":[{"text":"Bartolino, James R. 0000-0002-2166-7803 jrbartol@usgs.gov","orcid":"https://orcid.org/0000-0002-2166-7803","contributorId":2548,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"jrbartol@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hopkins, Candice B. 0000-0003-3207-7267 chopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-3207-7267","contributorId":1379,"corporation":false,"usgs":true,"family":"Hopkins","given":"Candice","email":"chopkins@usgs.gov","middleInitial":"B.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655177,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178693,"text":"ofr20161200 - 2016 - Concentration, flux, and trend estimates with uncertainty for nutrients, chloride, and total suspended solids in tributaries of Lake Champlain, 1990–2014","interactions":[],"lastModifiedDate":"2019-12-27T11:38:47","indexId":"ofr20161200","displayToPublicDate":"2016-12-20T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1200","title":"Concentration, flux, and trend estimates with uncertainty for nutrients, chloride, and total suspended solids in tributaries of Lake Champlain, 1990–2014","docAbstract":"The U.S. Geological Survey, in cooperation with the New England Interstate Water Pollution Control Commission and the Vermont Department of Environmental Conservation, estimated daily and 9-month concentrations and fluxes of total and dissolved phosphorus, total nitrogen, chloride, and total suspended solids from 1990 (or first available date) through 2014 for 18 tributaries of Lake Champlain. Estimates of concentration and flux, provided separately in Medalie (2016), were made by using the Weighted Regressions on Time, Discharge, and Season (WRTDS) regression model and update previously published WRTDS model results with recent data. Assessment of progress towards meeting phosphorus-reduction goals outlined in the Lake Champlain management plan relies on annual estimates of phosphorus flux. The percent change in annual concentration and flux is provided for two time periods. The R package EGRETci was used to estimate the uncertainty of the trend estimate. Differences in model specification and function between this study and previous studies that used WRTDS to estimate concentration and flux using data from Lake Champlain tributaries are described.
Winter data were too sparse and nonrepresentative to use for estimates of concentration and flux but were sufficient for estimating the percentage of total annual flux over the period of record. Median winter-to-annual fractions ranged between 21 percent for total suspended solids and 27 percent for dissolved phosphorus. The winter contribution was largest for all constituents from the Mettawee River and smallest from the Ausable River.
For the full record (1991 through 2014 for total and dissolved phosphorus and chloride and 1993 through 2014 for nitrogen and total suspended solids), 6 tributaries had decreasing trends in concentrations of total phosphorus, and 12 had increasing trends; concentrations of dissolved phosphorus decreased in 6 and increased in 8 tributaries; fluxes of total phosphorus decreased in 5 and increased in 10 tributaries; and fluxes of dissolved phosphorus decreased in 4 and increased in 10 tributaries (where the number of increasing and decreasing trends does not add up to 18, the remainder of tributaries had no trends). Concentrations and fluxes of nitrogen decreased in 10 and increased in 4 tributaries and of chloride decreased in 2 and increased in 15 tributaries. Concentrations of total suspended solids decreased in 4 and increased in 8 tributaries, and fluxes of total suspended solids decreased in 3 and increased in 11 tributaries.
Although time intervals for the percent changes from this report are not completely synchronous with those from previous studies, the numbers of and specific tributaries with overall negative percent changes in concentration and flux are similar. Concentration estimates of total phosphorus in the Winooski River were used to trace whether changes in trends between a previous study and the current study were due generally to differences in model specifications or differences from 4 years of additional data. The Winooski River analysis illustrates several things: that keeping all model specifications equal, concentration estimates increased from 2010 to 2014; the effects of a smoothing algorithm used in the current study that was not available previously; that narrowing model half-window widths increased year-to-year variations; and that the change from an annual to a 9-month basis by omitting winter estimates changed a few individual points but not the overall shape of the flow-normalized curve. Similar tests for other tributaries showed that the primary effect of differences in model specifications between the previous and current studies was perhaps to increase scatter over time but that changes in trends generally were the result of 4 years of additional data rather than artifacts of model differences.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161200","collaboration":"Prepared in cooperation with the New England Interstate Water Pollution Control Commission and the Vermont Department of Environmental Conservation","usgsCitation":"Medalie, Laura, 2016, Concentration, flux, and trend estimates with uncertainty for nutrients, chloride, and total suspended solids in tributaries of Lake Champlain, 1990–2014: U.S. Geological Survey Open-File Report 2016–1200, 22 p., https://doi.org/10.3133/ofr20161200.","productDescription":"Report: iv, 22 p.; Data Release","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-076110","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":438482,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7RN360M","text":"USGS data release","linkHelpText":"Estimates of annual and daily concentration and flux of nutrients, chloride, and suspended sediment in tributaries of Lake Champlain, 1990 through 2014"},{"id":332328,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7RN360M","text":"USGS data release - Estimates of annual and daily concentration and flux of nutrients, chloride, and total suspended solids in tributaries of Lake Champlain, 1990 through 2014","description":"Usgs Data Release"},{"id":332327,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1200/ofr20161200.pdf","text":"Report","size":"858 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1200"},{"id":332326,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1200/coverthb.jpg"}],"country":"United States","state":"New York, Vermont","otherGeospatial":"Lake Champlain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.597412109375,\n 44.01454613545038\n ],\n [\n -73.00140380859375,\n 44.01454613545038\n ],\n [\n -73.00140380859375,\n 45.00365115687186\n ],\n [\n -73.597412109375,\n 45.00365115687186\n ],\n [\n -73.597412109375,\n 44.01454613545038\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
U.S. Geological Survey
331 Commerce Way
Pembroke, NH 03275
http://newengland.water.usgs.gov
","tableOfContents":"- Abstract
- Introduction
- Methods of Data Analysis
- Concentrations and Fluxes
- Trends in Concentration and Flux
- Summary
- References Cited
","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2016-12-20","noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"585a51bbe4b01224f329b5e1","contributors":{"authors":[{"text":"Medalie, Laura 0000-0002-2440-2149 lmedalie@usgs.gov","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":3657,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","email":"lmedalie@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654829,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70179179,"text":"70179179 - 2016 - Migratory-stage sea lamprey Petromyzon marinus stop responding to conspecific damage-released alarm cues after 4 h of continuous exposure in laboratory conditions","interactions":[],"lastModifiedDate":"2017-04-24T14:41:27","indexId":"70179179","displayToPublicDate":"2016-12-20T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Migratory-stage sea lamprey Petromyzon marinus stop responding to conspecific damage-released alarm cues after 4 h of continuous exposure in laboratory conditions","docAbstract":"This study investigated the length of avoidance response of migratory-stage sea lamprey Petromyzon marinus exposed continuously to conspecific damage-released alarm cues for varying lengths of time in laboratory stream channels. Ten replicate groups of P. marinus, separated by sex, were exposed to either deionized water control or to P. marinus extract for 0, 2 or 4 h continuously. Petromyzon marinus maintained their avoidance response to the conspecific damage-released alarm cue after continuous exposure to the alarm cue for 0 and 2 h but not 4 h. Beyond being one of the first studies in regards to sensory–olfactory adaptation–acclimation of fishes to alarm cues of any kind, these results have important implications for use of conspecific alarm cues in P. marinus control. For example, continuous application of conspecific alarm cue during the day, when P. marinus are inactive and hiding, may result in sensory adaptation to the odour by nightfall when they migrate upstream.
","language":"English","publisher":"Wiley","doi":"10.1111/jfb.13231","usgsCitation":"Imre, I., Di Rocco, R.T., McClure, H., Johnson, N., and Brown, G.E., 2016, Migratory-stage sea lamprey Petromyzon marinus stop responding to conspecific damage-released alarm cues after 4 h of continuous exposure in laboratory conditions: Journal of Fish Biology, v. 90, no. 4, p. 1297-1304, https://doi.org/10.1111/jfb.13231.","productDescription":"8 p.","startPage":"1297","endPage":"1304","ipdsId":"IP-079426","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":332346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"90","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-12","publicationStatus":"PW","scienceBaseUri":"585a51a8e4b01224f329b5d9","contributors":{"authors":[{"text":"Imre, Istvan","contributorId":150985,"corporation":false,"usgs":false,"family":"Imre","given":"Istvan","email":"","affiliations":[{"id":6585,"text":"Algoma University","active":true,"usgs":false}],"preferred":false,"id":656267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Di Rocco, Richard T.","contributorId":150984,"corporation":false,"usgs":false,"family":"Di Rocco","given":"Richard","email":"","middleInitial":"T.","affiliations":[{"id":6586,"text":"Concordia University","active":true,"usgs":false}],"preferred":false,"id":656268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McClure, Haley","contributorId":177583,"corporation":false,"usgs":false,"family":"McClure","given":"Haley","email":"","affiliations":[],"preferred":false,"id":656269,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":656266,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Grant E.","contributorId":173005,"corporation":false,"usgs":false,"family":"Brown","given":"Grant","email":"","middleInitial":"E.","affiliations":[{"id":6586,"text":"Concordia University","active":true,"usgs":false}],"preferred":false,"id":656270,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179151,"text":"70179151 - 2016 - Twitter predicts citation rates of ecological research","interactions":[],"lastModifiedDate":"2018-04-24T12:21:07","indexId":"70179151","displayToPublicDate":"2016-12-20T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Twitter predicts citation rates of ecological research","docAbstract":"The relationship between traditional metrics of research impact (e.g., number of citations) and alternative metrics (altmetrics) such as Twitter activity are of great interest, but remain imprecisely quantified. We used generalized linear mixed modeling to estimate the relative effects of Twitter activity, journal impact factor, and time since publication on Web of Science citation rates of 1,599 primary research articles from 20 ecology journals published from 2012–2014. We found a strong positive relationship between Twitter activity (i.e., the number of unique tweets about an article) and number of citations. Twitter activity was a more important predictor of citation rates than 5-year journal impact factor. Moreover, Twitter activity was not driven by journal impact factor; the ‘highest-impact’ journals were not necessarily the most discussed online. The effect of Twitter activity was only about a fifth as strong as time since publication; accounting for this confounding factor was critical for estimating the true effects of Twitter use. Articles in impactful journals can become heavily cited, but articles in journals with lower impact factors can generate considerable Twitter activity and also become heavily cited. Authors may benefit from establishing a strong social media presence, but should not expect research to become highly cited solely through social media promotion. Our research demonstrates that altmetrics and traditional metrics can be closely related, but not identical. We suggest that both altmetrics and traditional citation rates can be useful metrics of research impact.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0166570","usgsCitation":"Peoples, B.K., Midway, S.R., Sackett, D.K., Lynch, A., and Cooney, P.B., 2016, Twitter predicts citation rates of ecological research: PLoS ONE, v. 11, no. 11, e0166570; 11 p., https://doi.org/10.1371/journal.pone.0166570.","productDescription":"e0166570; 11 p.","ipdsId":"IP-077000","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":461995,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0166570","text":"Publisher Index Page"},{"id":332343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-11","publicationStatus":"PW","scienceBaseUri":"585a51a9e4b01224f329b5db","contributors":{"authors":[{"text":"Peoples, Brandon K.","contributorId":177551,"corporation":false,"usgs":false,"family":"Peoples","given":"Brandon","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":656197,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Midway, Stephen R.","contributorId":172159,"corporation":false,"usgs":false,"family":"Midway","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":656198,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sackett, Dana K.","contributorId":141232,"corporation":false,"usgs":false,"family":"Sackett","given":"Dana","email":"","middleInitial":"K.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":656199,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lynch, Abigail 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":169460,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":656196,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooney, Patrick B.","contributorId":141249,"corporation":false,"usgs":false,"family":"Cooney","given":"Patrick","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":656200,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179147,"text":"70179147 - 2016 - Active season microhabitat and vegetation selection by giant gartersnakes associated with a restored marsh in California","interactions":[],"lastModifiedDate":"2017-02-14T13:07:36","indexId":"70179147","displayToPublicDate":"2016-12-20T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Active season microhabitat and vegetation selection by giant gartersnakes associated with a restored marsh in California","docAbstract":"Studies of habitat selection can reveal important patterns to guide habitat restoration and management for species of conservation concern. Giant gartersnakes Thamnophis gigas are endemic to the Central Valley of California, where >90% of their historical wetland habitat has been converted to agricultural and other uses. Information about the selection of habitats by individual giant gartersnakes would guide habitat restoration by indicating which habitat features and vegetation types are likely to be selected by these rare snakes. We examined activity patterns and selection of microhabitats and vegetation types by adult female giant gartersnakes with radiotelemetry at a site composed of rice agriculture and restored wetlands using a paired case-control study design. Adult female giant gartersnakes were 14.7 (95% credible interval [CRI] = 9.4–23.7) times more likely to be active (foraging, mating, or moving) when located in aquatic habitats than when located in terrestrial habitats. Microhabitats associated with cover—particularly emergent vegetation, terrestrial vegetation, and litter—were positively selected by giant gartersnakes. Individual giant gartersnakes varied greatly in their selection of rice and rock habitats, but varied little in their selection of open water. Tules Schoenoplectus acutus were the most strongly selected vegetation type, and duckweed Lemna spp., water-primrose Ludwigia spp., forbs, and grasses also were positively selected at the levels of availability observed at our study site. Management practices that promote the interface of water with emergent aquatic and herbaceous terrestrial vegetation will likely benefit giant gartersnakes. Given their strong selection of tules, restoration of native tule marshes will likely provide the greatest benefit to these threatened aquatic snakes.
","language":"English","publisher":"Scientific Journals","doi":"10.3996/042016-JFWM-029","usgsCitation":"Halstead, B., Valcarcel, P., Wylie, G.D., Coates, P.S., Casazza, M.L., and Rosenberg, D.K., 2016, Active season microhabitat and vegetation selection by giant gartersnakes associated with a restored marsh in California: Journal of Fish and Wildlife Management, v. 7, no. 2, p. 397-407, https://doi.org/10.3996/042016-JFWM-029.","productDescription":"11 p.","startPage":"397","endPage":"407","ipdsId":"IP-054874","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488587,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/042016-jfwm-029","text":"Publisher Index Page"},{"id":438481,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7QF8R0R","text":"USGS data release","linkHelpText":"Microhabitat and Vegetation Selection by Giant Gartersnakes Associated with a Restored Marsh in California"},{"id":332349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335351,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7QF8R0R","text":"Microhabitat and vegetation selection by giant gartersnakes associated with a restored marsh in California"}],"country":"United States","state":"California","volume":"7","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-01","publicationStatus":"PW","scienceBaseUri":"585a51a9e4b01224f329b5dd","contributors":{"authors":[{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":656189,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valcarcel, Patricia","contributorId":177543,"corporation":false,"usgs":false,"family":"Valcarcel","given":"Patricia","email":"","affiliations":[],"preferred":false,"id":656193,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Glenn D. 0000-0002-7061-6658 glenn_wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7061-6658","contributorId":3052,"corporation":false,"usgs":true,"family":"Wylie","given":"Glenn","email":"glenn_wylie@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":656190,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":656191,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":656192,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosenberg, Daniel K.","contributorId":177550,"corporation":false,"usgs":false,"family":"Rosenberg","given":"Daniel","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":656194,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70179101,"text":"sir20165174 - 2016 - Suspended-sediment concentrations, bedload, particle sizes, surrogate measurements, and annual sediment loads for selected sites in the lower Minnesota River Basin, water years 2011 through 2016","interactions":[],"lastModifiedDate":"2016-12-21T09:36:48","indexId":"sir20165174","displayToPublicDate":"2016-12-20T00:00:00","publicationYear":"2016","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":"2016-5174","title":"Suspended-sediment concentrations, bedload, particle sizes, surrogate measurements, and annual sediment loads for selected sites in the lower Minnesota River Basin, water years 2011 through 2016","docAbstract":"Accurate measurements of fluvial sediment are important for assessing stream ecological health, calculating flood levels, computing sediment budgets, and managing and protecting water resources. Sediment-enriched rivers in Minnesota are a concern among Federal, State, and local governments because turbidity and sediment-laden waters are the leading impairments and affect more than 6,000 miles of rivers in Minnesota. The suspended sediment in the lower Minnesota River is deleterious, contributing about 75 to 90 percent of the suspended sediment being deposited into Lake Pepin. The Saint Paul District of the U.S. Army Corps of Engineers and the Lower Minnesota River Watershed District collaborate to maintain a navigation channel on the lower 14.7 miles of the Minnesota River through scheduled dredging operations. The Minnesota Pollution Control Agency has adopted a sediment-reduction strategy to reduce sediment in the Minnesota River by 90 percent by 2040.
The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, the Minnesota Pollution Control Agency, and the Lower Minnesota River Watershed District, collected suspended-sediment, bedload, and particle-size samples at five sites in the lower Minnesota River Basin during water years 2011 through 2014 and surrogate measurements of acoustic backscatter at one of these sites on the lower Minnesota River during water years 2012 through 2016 to quantify sediment loads and improve understanding of sediment-transport relations. Annual sediment loads were computed for calendar years 2011 through 2014.
Data collected from water years 2011 through 2014 indicated that two tributaries, Le Sueur River and High Island Creek, had the highest sediment yield and concentrations of suspended sediment. These tributaries also had greater stream gradients than the sites on the Minnesota River. Suspended fines were greater than suspended sand at all sites in the study area. The range of median particle sizes matched the range for stream gradients from greatest to smallest. Bedload ranged from 3 to 20 percent of the total load at the Le Sueur River, Minnesota River at Mankato, and High Island Creek and was less than 1 percent of the total load at the Minnesota River near Jordan and at Fort Snelling State Park. The reach of the Minnesota River between Mankato and Jordan is a major source of sediment, with the sediment yield at Jordan being two and a half times greater than at Mankato. Between Jordan and Fort Snelling, the sediment yield decreases substantially, which indicates that the Minnesota River in this reach is a sink for sediment. Surrogate measurements (acoustic backscatter) collected with suspended-sediment concentration data from water years 2012 through 2016 from the Minnesota River at Fort Snelling State Park indicated strong relations between the acoustic backscatter and suspended-sediment concentrations. These results point to the dynamic nature of sediment aggradation, degradation, and transport in the Minnesota River Basin. The analyses described in this report will improve the understanding of sediment-transport relations and sediment budgets in the Minnesota River Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165174","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Minnesota Pollution Control Agency, and Lower Minnesota River Watershed District","usgsCitation":"Groten, J.T., Ellison, C.A., and Hendrickson, J.S., 2016, Suspended-sediment concentrations, bedload, particle sizes, surrogate measurements, and annual sediment loads for selected sites in the lower Minnesota River Basin, water years 2011 through 2016: U.S. Geological Survey Scientific Investigations Report 2016–5174, 29 p., https://doi.org/10.3133/sir20165174.","productDescription":"Report: viii, 29 p.; Appendix Tables","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-077057","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":332354,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5174/coverthb.jpg"},{"id":332355,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5174/sir20165174.pdf","text":"Report","size":"1.87 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5174"},{"id":332356,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5174/sir20165174_appendix_tables.xlsx","text":"Appendix Tables","size":"240 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5174 Appendix 1"}],"country":"United States","state":"Minnesota","otherGeospatial":"Minnesota River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.56732177734375,\n 43.97898113341921\n ],\n [\n -95.56732177734375,\n 44.853921768268805\n ],\n [\n -93.22723388671875,\n 44.853921768268805\n ],\n [\n -93.22723388671875,\n 43.97898113341921\n ],\n [\n -95.56732177734375,\n 43.97898113341921\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Minnesota Water Science Center
U.S. Geological Survey
2280 Woodale Drive
Mounds View, Minnesota 55112
http://mn.water.usgs.gov/
","tableOfContents":"- Acknowledgments
- Abstract
- Introduction
- Methods of Data Collection and Analysis
- Streamflow, Suspended-Sediment Concentrations, Bedload, Particle Sizes, and Surrogate Measurements
- Annual Sediment Loads
- Summary and Conclusions
- References Cited
- Appendix 1
","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-12-20","noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"585a51b9e4b01224f329b5df","contributors":{"authors":[{"text":"Groten, Joel T. jgroten@usgs.gov","contributorId":171771,"corporation":false,"usgs":true,"family":"Groten","given":"Joel T.","email":"jgroten@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":656049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellison, Christopher A. 0000-0002-5886-6654 cellison@usgs.gov","orcid":"https://orcid.org/0000-0002-5886-6654","contributorId":4891,"corporation":false,"usgs":true,"family":"Ellison","given":"Christopher","email":"cellison@usgs.gov","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":656050,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hendrickson, Jon S.","contributorId":177520,"corporation":false,"usgs":false,"family":"Hendrickson","given":"Jon","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":656051,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179045,"text":"ofr20161205 - 2016 - Preliminary peak stage and streamflow data at selected streamgaging stations in North Carolina and South Carolina for flooding following Hurricane Matthew, October 2016","interactions":[],"lastModifiedDate":"2017-01-09T10:25:48","indexId":"ofr20161205","displayToPublicDate":"2016-12-19T14:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1205","title":"Preliminary peak stage and streamflow data at selected streamgaging stations in North Carolina and South Carolina for flooding following Hurricane Matthew, October 2016","docAbstract":"The passage of Hurricane Matthew across the central and eastern regions of North Carolina and South Carolina during October 7–9, 2016, resulted in heavy rainfall that caused major flooding in parts of the eastern Piedmont in North Carolina and coastal regions of both States. Rainfall totals of 3 to 8 inches and 8 to more than 15 inches were widespread throughout the central and eastern regions, respectively. U.S. Geological Survey streamgages recorded peaks of record at 26 locations, including 11 sites with long-term periods of 30 or more years of record. A total of 44 additional locations had peak streamflows that ranked in the top 5 for the period of record. Additionally, among 23 U.S. Geological Survey streamgages within the affected basins in North Carolina where stage-only data are collected, new peak stages were recorded at 5 locations during the flooding. U.S. Geological Survey personnel made 102 streamflow measurements at 60 locations in both States to verify, update, or extend existing rating curves (which are used to determine stage-discharge relations) during the October 2016 flood event.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161205","usgsCitation":"Weaver, J.C., Feaster, T.D., and Robbins, J.C., 2016, Preliminary peak stage and streamflow data at selected streamgaging stations in North Carolina and South Carolina for flooding following Hurricane Matthew, October 2016: U.S. Geological Survey Open-File Report 2016–1205, 38 p., https://doi.org/10.3133/ofr20161205.","productDescription":"v, 38 p.","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-081734","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":332170,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1205/coverthb.jpg"},{"id":332171,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1205/ofr20161205.pdf","text":"Report","size":"4.31 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 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Carolina\",\"nation\":\"USA \"}}]}","contact":"Director, South Atlantic Water Science Center
U.S. Geological Survey
720 Gracern Road
Stephenson Center, Suite 129
Columbia, SC 29210
http://www.usgs.gov/water/southatlantic/
","tableOfContents":"- Abstract
- Introduction
- General Weather Conditions and Precipitation Causing the October 2016 Flooding
- Methods Used to Collect Streamflow Data
- Peak Streamflow and Stage
- Comparison of the October 2016 Flood to Past Floods
- Summary
- References Cited
","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2016-12-19","noUsgsAuthors":false,"publicationDate":"2016-12-19","publicationStatus":"PW","scienceBaseUri":"58590005e4b03639a6025e1f","contributors":{"authors":[{"text":"Weaver, J. Curtis 0000-0001-7068-5445 jcweaver@usgs.gov","orcid":"https://orcid.org/0000-0001-7068-5445","contributorId":2229,"corporation":false,"usgs":true,"family":"Weaver","given":"J.","email":"jcweaver@usgs.gov","middleInitial":"Curtis","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":655863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":177452,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[],"preferred":false,"id":655865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robbins, Jeanne C. 0000-0001-7804-0764 jrobbins@usgs.gov","orcid":"https://orcid.org/0000-0001-7804-0764","contributorId":1586,"corporation":false,"usgs":true,"family":"Robbins","given":"Jeanne","email":"jrobbins@usgs.gov","middleInitial":"C.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655864,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179030,"text":"fs20163087 - 2016 - Science to support the understanding of Ohio's water resources, 2016-17","interactions":[],"lastModifiedDate":"2016-12-19T13:42:30","indexId":"fs20163087","displayToPublicDate":"2016-12-19T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3087","title":"Science to support the understanding of Ohio's water resources, 2016-17","docAbstract":"Ohio’s water resources support a complex web of human activities and nature—clean and abundant water is needed for drinking, recreation, farming, and industry, as well as for fish and wildlife needs. Although rainfall in normal years can support these activities and needs, occasional floods and droughts can disrupt streamflow, groundwater, water availability, water quality, recreation, and aquatic habitats. Ohio is bordered by the Ohio River and Lake Erie; it has over 44,000 miles of streams and more than 60,000 lakes and ponds (State of Ohio, 1994). Nearly all of the rural population obtains drinking water from groundwater sources.
The U.S. Geological Survey (USGS) works in cooperation with local, State, and other Federal agencies, as well as universities, to furnish decisionmakers, policy makers, USGS scientists, and the general public with reliable scientific information and tools to assist them in management, stewardship, and use of Ohio’s natural resources. The diversity of scientific expertise among USGS personnel enables them to carry out large- and small-scale multidisciplinary studies. The USGS is unique among government organizations because it has neither regulatory nor developmental authority—its sole product is impartial, credible, relevant, and timely scientific information, equally accessible and available to everyone. The USGS Ohio Water Science Center provides reliable hydrologic and water-related ecological information to aid in the understanding of the use and management of the Nation’s water resources, in general, and Ohio’s water resources, in particular. This fact sheet provides an overview of current (2016) or recently completed USGS studies and data activities pertaining to water resources in Ohio. More information regarding projects of the USGS Ohio Water Science Center is available at http://oh.water.usgs.gov/.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163087","usgsCitation":"Shaffer, K.H., and Kula, S.P., 2016, Science to support the understanding of Ohio's water resources, 2016-17: U.S. Geological Survey Fact Sheet 2016–3087, 8 p., https://doi.org/10.3133/fs20163087.","productDescription":"8 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-079071","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":332076,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3087/fs20163087.pdf","text":"Report","size":"18.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3087"},{"id":332075,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3087/coverthb.jpg"}],"country":"United 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\"}}]}","contact":"Director, Ohio Water Science Center
6460 Busch Blvd, Suite 100
Columbus, OH 43229
Phone (614) 430-7700
http://oh.water.usgs.gov/
","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2016-12-19","noUsgsAuthors":false,"publicationDate":"2016-12-19","publicationStatus":"PW","scienceBaseUri":"58590006e4b03639a6025e21","contributors":{"compilers":[{"text":"Shaffer, Kimberly kshaffer@usgs.gov","contributorId":1589,"corporation":false,"usgs":true,"family":"Shaffer","given":"Kimberly","email":"kshaffer@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655829,"contributorType":{"id":3,"text":"Compilers"},"rank":1},{"text":"Kula, Stephanie P. spkula@usgs.gov","contributorId":4666,"corporation":false,"usgs":true,"family":"Kula","given":"Stephanie","email":"spkula@usgs.gov","middleInitial":"P.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655830,"contributorType":{"id":3,"text":"Compilers"},"rank":2}],"authors":[{"text":"Shaffer, Kimberly kshaffer@usgs.gov","contributorId":1589,"corporation":false,"usgs":true,"family":"Shaffer","given":"Kimberly","email":"kshaffer@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":656180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kula, Stephanie P. spkula@usgs.gov","contributorId":4666,"corporation":false,"usgs":true,"family":"Kula","given":"Stephanie","email":"spkula@usgs.gov","middleInitial":"P.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":656181,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179130,"text":"70179130 - 2016 - Barrier island breach evolution: Alongshore transport and bay-ocean pressure gradient interactions","interactions":[],"lastModifiedDate":"2017-01-27T11:20:11","indexId":"70179130","displayToPublicDate":"2016-12-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2321,"text":"Journal of Geophysical Research: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Barrier island breach evolution: Alongshore transport and bay-ocean pressure gradient interactions","docAbstract":"Physical processes controlling repeated openings and closures of a barrier island breach between a bay and the open ocean are studied using aerial photographs and atmospheric and hydrodynamic observations. The breach site is located on Pea Island along the Outer Banks, separating Pamlico Sound from the Atlantic Ocean. Wind direction was a major control on the pressure gradients between the bay and the ocean to drive flows that initiate or maintain the breach opening. Alongshore sediment flux was found to be a major contributor to breach closure. During the analysis period from 2011 to 2016, three hurricanes had major impacts on the breach. First, Hurricane Irene opened the breach with wind-driven flow from bay to ocean in August 2011. Hurricane Sandy in October 2012 quadrupled the channel width from pressure gradient flows due to water levels that were first higher on the ocean side and then higher on the bay side. The breach closed sometime in Spring 2013, most likely due to an event associated with strong alongshore sediment flux but minimal ocean-bay pressure gradients. Then, in July 2014, Hurricane Arthur briefly opened the breach again from the bay side, in a similar fashion to Irene. In summary, opening and closure of breaches are shown to follow a dynamic and episodic balance between along-channel pressure gradient driven flows and alongshore sediment fluxes.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2016JC012029","usgsCitation":"Safak, I., Warner, J., and List, J.H., 2016, Barrier island breach evolution: Alongshore transport and bay-ocean pressure gradient interactions: Journal of Geophysical Research: Oceans, v. 121, no. 12, p. 8720-8730, https://doi.org/10.1002/2016JC012029.","productDescription":"11 p.","startPage":"8720","endPage":"8730","ipdsId":"IP-074360","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470317,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2016jc012029","text":"External Repository"},{"id":332268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Pea Island","volume":"121","issue":"12","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-16","publicationStatus":"PW","scienceBaseUri":"58590007e4b03639a6025e23","contributors":{"authors":[{"text":"Safak, Ilgar 0000-0001-7675-0770 isafak@usgs.gov","orcid":"https://orcid.org/0000-0001-7675-0770","contributorId":5522,"corporation":false,"usgs":true,"family":"Safak","given":"Ilgar","email":"isafak@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"List, Jeffrey H. 0000-0001-8594-2491 jlist@usgs.gov","orcid":"https://orcid.org/0000-0001-8594-2491","contributorId":174581,"corporation":false,"usgs":true,"family":"List","given":"Jeffrey","email":"jlist@usgs.gov","middleInitial":"H.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656126,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179128,"text":"70179128 - 2016 - Temporal segmentation of animal trajectories informed by habitat use","interactions":[],"lastModifiedDate":"2017-07-19T15:20:15","indexId":"70179128","displayToPublicDate":"2016-12-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Temporal segmentation of animal trajectories informed by habitat use","docAbstract":"Most animals live in seasonal environments and experience very different conditions throughout the year. Behavioral strategies like migration, hibernation, and a life cycle adapted to the local seasonality help to cope with fluctuations in environmental conditions. Thus, how an individual utilizes the environment depends both on the current availability of habitat and the behavioral prerequisites of the individual at that time. While the increasing availability and richness of animal movement data has facilitated the development of algorithms that classify behavior by movement geometry, changes in the environmental correlates of animal movement have so far not been exploited for a behavioral annotation. Here, we suggest a method that uses these changes in individual–environment associations to divide animal location data into segments of higher ecological coherence, which we term niche segmentation. We use time series of random forest models to evaluate the transferability of habitat use over time to cluster observational data accordingly. We show that our method is able to identify relevant changes in habitat use corresponding to both changes in the availability of habitat and how it was used using simulated data, and apply our method to a tracking data set of common teal (Anas crecca). The niche segmentation proved to be robust, and segmented habitat suitability outperformed models neglecting the temporal dynamics of habitat use. Overall, we show that it is possible to classify animal trajectories based on changes of habitat use similar to geometric segmentation algorithms. We conclude that such an environmentally informed classification of animal trajectories can provide new insights into an individuals' behavior and enables us to make sensible predictions of how suitable areas might be connected by movement in space and time.
","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1002/ecs2.1498","usgsCitation":"van Toor, M., Newman, S.H., Takekawa, J.Y., Wegmann, M., and Safi, K., 2016, Temporal segmentation of animal trajectories informed by habitat use: Ecosphere, v. 7, no. 10, e01498;16 p., https://doi.org/10.1002/ecs2.1498.","productDescription":"e01498;16 p.","ipdsId":"IP-066487","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470318,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1498","text":"Publisher Index Page"},{"id":332260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"10","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-20","publicationStatus":"PW","scienceBaseUri":"58590007e4b03639a6025e25","contributors":{"authors":[{"text":"van Toor, Marielle L.","contributorId":177537,"corporation":false,"usgs":false,"family":"van Toor","given":"Marielle L.","affiliations":[],"preferred":false,"id":656114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newman, Scott H.","contributorId":101372,"corporation":false,"usgs":true,"family":"Newman","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":656115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":656116,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wegmann, Martin","contributorId":177540,"corporation":false,"usgs":false,"family":"Wegmann","given":"Martin","email":"","affiliations":[],"preferred":false,"id":656117,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Safi, Kamran","contributorId":83036,"corporation":false,"usgs":true,"family":"Safi","given":"Kamran","affiliations":[],"preferred":false,"id":656118,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179119,"text":"70179119 - 2016 - GDGT and alkenone flux in the northern Gulf of Mexico: Implications for the TEX86 and UK137 paleothermometers","interactions":[],"lastModifiedDate":"2017-02-14T13:14:47","indexId":"70179119","displayToPublicDate":"2016-12-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3002,"text":"Paleoceanography","active":true,"publicationSubtype":{"id":10}},"title":"GDGT and alkenone flux in the northern Gulf of Mexico: Implications for the TEX86 and UK137 paleothermometers","docAbstract":"The TEX86 and ![\"math](\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0007.png?v=1&s=d403479a25335b6ac40e53bb763bf64663a30b00\")
molecular biomarker proxies have been broadly applied in down-core marine sediments to reconstruct past sea surface temperature (SST). Although both TEX86 and ![\"math](\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0008.png?v=1&s=62f4caa74a179c9d008a8c29c9106a38e54f3c48\")
have been interpreted as proxies for mean annual SST throughout the global ocean, regional studies of GDGTs and alkenones in sinking particles are required to understand the influence of seasonality, depth distribution and diagenesis on downcore variability. We measure GDGT and alkenone flux, as well as the TEX86 and ![\"math](\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0009.png?v=1&s=2e82d31462f318fb86f3ffaf2a6a3787eb48a6ae\")
indices in a 4-year sediment trap time series (2010-2014) in the northern Gulf of Mexico (nGoM), and compare these data with core-top sediments at the same location. GDGT and alkenone fluxes do not show a consistent seasonal cycle, however the largest flux peaks for both occurs in winter. ![\"math](\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0010.png?v=1&s=81f7fa754f9d41630511e3846390c9cd8cbf7274\")
co-varies with SST over the 4-year sampling interval, but the ![\"math](\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0011.png?v=1&s=73d72d872e1a2521267a2b8d2fc5dcab7424727f\")
-SST relationship in this data set implies a smaller slope or non-linearity at high temperatures when compared with existing calibrations. Furthermore, the flux-weighted ![\"math](\"http://onlinelibrary.wiley.com/store/10.1002/2016PA003032/asset/equation/palo20387-math-0012.png?v=1&s=c4029c4c176475c28ba9d172d719d06ea968530b\")
value from sinking particles is significantly lower than that of underlying core-top sediments, suggesting preferential diagenetic loss of the tri-unsaturated alkenone in sediments. TEX86 does not co-vary with SST, suggesting production in the subsurface upper water column. The flux-weighted mean TEX86 matches that of core-top sediments, confirming that TEX86 in the nGoM reflects local planktonic production rather than allochthonous or in-situ sedimentary production. We explore potential sources of uncertainty in both proxies in the nGoM, but demonstrate that they show nearly identical trends in 20th century SST, despite these factors.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2016PA003032","usgsCitation":"Richey, J.N., and Tierney, J.E., 2016, GDGT and alkenone flux in the northern Gulf of Mexico: Implications for the TEX86 and UK137 paleothermometers: Paleoceanography, v. 31, no. 12, p. 1547-1561, https://doi.org/10.1002/2016PA003032.","productDescription":"15 p.","startPage":"1547","endPage":"1561","ipdsId":"IP-079473","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470319,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2016pa003032","text":"External Repository"},{"id":332266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335357,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76M350W","text":"GDGT and Alkenone Flux in the Northern Gulf of Mexico"}],"otherGeospatial":"Northern Gulf of Mexico","volume":"31","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-19","publicationStatus":"PW","scienceBaseUri":"58590008e4b03639a6025e29","contributors":{"authors":[{"text":"Richey, Julie N. 0000-0002-2319-7980 jrichey@usgs.gov","orcid":"https://orcid.org/0000-0002-2319-7980","contributorId":174046,"corporation":false,"usgs":true,"family":"Richey","given":"Julie","email":"jrichey@usgs.gov","middleInitial":"N.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tierney, Jessica E.","contributorId":177527,"corporation":false,"usgs":false,"family":"Tierney","given":"Jessica","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":656129,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}