Despite concern over the conservation status of many Mongolian salmonids and the importance of their ecological role in Mongolia's aquatic ecosystems, little is known about their basic biology. Hovsgol grayling (Thymallus nigrescens) is endemic to Lake Hovsgol, Mongolia and listed as endangered on the Mongolian Red List. Baikal grayling (T. baicalensis) and lenok (Brachymystax lenok) are found in lakes and rivers throughout the Selenge drainage. A detailed study of the age and growth of these three salmonids was conducted based on 1,682 samples collected from July 2006 to July 2013 in Lake Hovsgol, its outlet the Eg River, and one of the Eg's largest tributaries, the Uur River. Our results suggest that Hovsgol grayling in particular can reach a much older maximum age (17 years in our samples) than previously believed based on aging from scales. Female Hovsgol grayling were heavier at a given length than their male counterparts. Lenok had a greater average length-at-age in Lake Hovsgol compared to the rivers and greater weight-at-length in the warmer Uur River than in the Eg; female lenok from the rivers had a greater average length-at-age than their male counterparts. This study provides critical new information for the management and conservation of these threatened salmonid species in Mongolia.
","language":"English","publisher":"Wiley","doi":"10.1111/jai.13247","usgsCitation":"Tsogtsaikhan, P., Mendsaikhan, B., Jargalmaa, G., Ganzorig, B., Weidel, B., Filosa, C., Free, C., Young, T., and Jensen, O.P., 2017, Age and growth comparisons of Hovsgol grayling (Thymallus nigrescens Dorogostaisky, 1923), Baikal grayling (T. baicalensis Dybowski, 1874), and lenok (Brachymystax lenok Pallas, 1773) in lentic and lotic habitats of Northern Mongolia: Journal of Applied Ichthyology, v. 33, no. 1, p. 108-115, https://doi.org/10.1111/jai.13247.","productDescription":"8 p.","startPage":"108","endPage":"115","ipdsId":"IP-062756","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":470133,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.13247","text":"Publisher Index Page"},{"id":333323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mongolia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 99.66796875,\n 50.14874640066278\n ],\n [\n 100.94238281249999,\n 50.14874640066278\n ],\n [\n 100.94238281249999,\n 51.67255514839674\n ],\n [\n 99.66796875,\n 51.67255514839674\n ],\n [\n 99.66796875,\n 50.14874640066278\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-17","publicationStatus":"PW","scienceBaseUri":"58808d3ce4b01dfadfff1527","contributors":{"authors":[{"text":"Tsogtsaikhan, Pureviin","contributorId":178386,"corporation":false,"usgs":false,"family":"Tsogtsaikhan","given":"Pureviin","email":"","affiliations":[],"preferred":false,"id":658676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mendsaikhan, Budiin","contributorId":178383,"corporation":false,"usgs":false,"family":"Mendsaikhan","given":"Budiin","email":"","affiliations":[],"preferred":false,"id":658673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jargalmaa, Ganzorigiin","contributorId":178384,"corporation":false,"usgs":false,"family":"Jargalmaa","given":"Ganzorigiin","email":"","affiliations":[],"preferred":false,"id":658674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ganzorig, Batsaikhanii","contributorId":178385,"corporation":false,"usgs":false,"family":"Ganzorig","given":"Batsaikhanii","email":"","affiliations":[],"preferred":false,"id":658675,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":658672,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Filosa, Christopher","contributorId":178387,"corporation":false,"usgs":false,"family":"Filosa","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":658677,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Free, Christopher","contributorId":178388,"corporation":false,"usgs":false,"family":"Free","given":"Christopher","affiliations":[],"preferred":false,"id":658678,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Young, Talia","contributorId":141088,"corporation":false,"usgs":false,"family":"Young","given":"Talia","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":658679,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jensen, Olaf P.","contributorId":92159,"corporation":false,"usgs":false,"family":"Jensen","given":"Olaf","email":"","middleInitial":"P.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":658680,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70179782,"text":"70179782 - 2017 - Feeding ecology of Brook Silverside, Golden Shiner, and Subyearling Pumpkinseed in a Lake Ontario embayment","interactions":[],"lastModifiedDate":"2017-06-07T10:36:51","indexId":"70179782","displayToPublicDate":"2017-01-18T00:00:00","publicationYear":"2017","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":"Feeding ecology of Brook Silverside, Golden Shiner, and Subyearling Pumpkinseed in a Lake Ontario embayment","docAbstract":"Fish feeding ecology has been shown to vary over a 24-h period in terms of the prey consumed and feeding intensity. Consequently, in order to best determine the interspecific feeding associations within a fish community, examination of the diet at multiple times over a 24-h period is often necessary. We examined the diel feeding ecology of three fish species that were numerically dominant in a Lake Ontario embayment during summer. The diet of each of the three species, young-of-year Pumpkinseed Lepomis gibbosus, Golden Shiner Notemigonus crysoleucas, and Brook Silverside Labidesthes sicculus, was distinct with no significant overlap in diet composition occurring within any of the 4-h time intervals. The diet composition of each species suggested that Brook Silverside were feeding at the surface (terrestrial invertebrates and aquatic surface dwelling hemipterans), whereas young-of-year Pumpkinseed (amphipods) and Golden Shiner (tipulids) were feeding on different benthic prey. Differences in feeding periodicity were most pronounced for young-of-year Pumpkinseed. Our findings provide valuable insights on interspecific feeding associations among these three fish species during summer in a Lake Ontario embayment.
","language":"English","publisher":"Scientific Journals","doi":"10.3996/092016-JFWM-075","usgsCitation":"Johnson, J.H., Chalupnicki, M., Abbett, R., Diaz, A.R., and Nack, C.C., 2017, Feeding ecology of Brook Silverside, Golden Shiner, and Subyearling Pumpkinseed in a Lake Ontario embayment: Journal of Fish and Wildlife Management, v. 8, no. 1, p. 240-248, https://doi.org/10.3996/092016-JFWM-075.","productDescription":"9 p.","startPage":"240","endPage":"248","ipdsId":"IP-079942","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":470132,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/092016-jfwm-075","text":"Publisher Index Page"},{"id":333317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-01","publicationStatus":"PW","scienceBaseUri":"58808d3be4b01dfadfff1525","contributors":{"authors":[{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":658681,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalupnicki, Marc 0000-0002-3792-9345 mchalupnicki@usgs.gov","orcid":"https://orcid.org/0000-0002-3792-9345","contributorId":173643,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","email":"mchalupnicki@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":658682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abbett, Ross 0000-0001-6276-5541 rabbett@usgs.gov","orcid":"https://orcid.org/0000-0001-6276-5541","contributorId":4359,"corporation":false,"usgs":true,"family":"Abbett","given":"Ross","email":"rabbett@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":658683,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diaz, Avriel R","contributorId":178389,"corporation":false,"usgs":false,"family":"Diaz","given":"Avriel","email":"","middleInitial":"R","affiliations":[],"preferred":false,"id":658684,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nack, Christopher C","contributorId":178390,"corporation":false,"usgs":false,"family":"Nack","given":"Christopher","email":"","middleInitial":"C","affiliations":[],"preferred":false,"id":658685,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70179462,"text":"ofr20171001 - 2017 - Southern sea otter range expansion and habitat use in the Santa Barbara Channel, California","interactions":[],"lastModifiedDate":"2017-01-18T09:39:10","indexId":"ofr20171001","displayToPublicDate":"2017-01-17T16:00:00","publicationYear":"2017","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":"2017-1001","title":"Southern sea otter range expansion and habitat use in the Santa Barbara Channel, California","docAbstract":"The re-colonization of the Santa Barbara channel by sea otters brings these ESA-listed marine mammals closer to active oil and gas production facilities, shipping lanes and naturally occurring oil and gas seeps. However, the degree to which sea otters may actually be affected by human-caused oil spills or exposure to natural oil seeps is currently unknown. Between 2012 and 2014, the U.S. Geological Survey and collaborating agencies conducted a telemetry-based study of sea otters in Santa Barbara channel, in order to provide critical information for resource managers (specifically the Bureau of Ocean Energy Management, henceforth BOEM, and the U.S. Fish and Wildlife Service, henceforth USFWS) about the spatial ecology, population status, and potential population threats to sea otters in Santa Barbara Channel, with particular reference to exposure to manmade structures and sources of oil and natural gas. Analysis of spatial monitoring data using a Bayesian-based synoptic model allowed for description of sea otter home ranges, identification of hot-spots of use, and insights into habitat selection behavior by male and female sea otters. Important findings included the deeper modal depth preferred by males versus females, strong preferences by both sexes for areas with persistent kelp canopy, and greater use of soft-sediment areas by males. The synoptic model also provided the ability to predict population-level density distribution for each sex in new habitats: by calculating the value of these probability density distributions at the known locations of natural seeps, we were able to identify those seeps with higher potential for sea otter encounters. The relative probability of occurrence at locations near to some seeps was sufficiently high (about 1% likelihood of occurrence for some of our study animals) that one would anticipate occasional encounters. Data on male and female survival, reproductive success, activity budgets, and body condition all indicated that sea otters in Santa Barbara Channel are not resource limited, and thus we would expect to see continued strong population growth in this area. However, the principal cause of death for study animals was lethal bites by white sharks, suggesting that shark bite mortality represents the single biggest threat to continued population growth in the Santa Barbara Channel.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171001","collaboration":"Prepared in cooperation with Bureau of Ocean Energy Management (OCS Study BOEM 2017-002)","usgsCitation":"Tinker, M.T., Tomoleoni, Joseph, LaRoche, Nicole, Bowen, Lizabeth, Miles, A. Keith, Murray, Mike, Staedler,\nMichelle, and Randell, Zach, 2017, Southern sea otter range expansion and habitat use in the Santa Barbara\nChannel, California: U.S. Geological Survey Open-File Report 2017–1001 (OCS Study BOEM 2017-002), 76 p.,\nhttps://doi.org/10.3133/ofr20171001.","productDescription":"vi, 76 p.","numberOfPages":"86","onlineOnly":"Y","ipdsId":"IP-081226","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":333276,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1001/coverthb.jpg"},{"id":333277,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1001/ofr20171001.pdf","text":"Report","size":"7.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1001 Report PDF"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Channel","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.465087890625,\n 34.35704160076073\n ],\n [\n -120.465087890625,\n 34.65354458279873\n ],\n [\n -120.13000488281249,\n 34.65354458279873\n ],\n [\n -120.13000488281249,\n 34.35704160076073\n ],\n [\n -120.465087890625,\n 34.35704160076073\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
http://www.werc.usgs.gov/
Few studies have evaluated how wetland and forest characteristics influence the prevalence of meningeal worm (Parelaphostrongylus tenuis) infection of deer throughout the grassland biome of central North America. We used previously collected, county-level prevalence data to evaluate associations between habitat characteristics and probability of meningeal worm infection in white-tailed deer (Odocoileus virginianus) across eastern South Dakota, US. The highest-ranked binomial regression model for detecting probability of meningeal worm infection was spring temperature + summer precipitation + percent wetland; weight of evidence (wi=0.71) favored this model over alternative models, though predictive capability was low (Receiver operating characteristic=0.62). Probability of meningeal worm infection increased by 1.3- and 1.6-fold for each 1-cm and 1-C increase in summer precipitation and spring temperature, respectively. Similarly, probability of infection increased 1.2-fold for each 1% increase in wetland habitat. Our findings highlight the importance of wetland habitat in predicting meningeal worm infection across eastern South Dakota. Future research is warranted to evaluate the relationships between climatic conditions (e.g., drought, wet cycles) and deer habitat selection in maintaining P. tenuis along the western boundary of the parasite.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2016-02-028","usgsCitation":"Jacques, C.N., Jenks, J., Klaver, R.W., and Dubay, S.A., 2017, Associations among habitat characteristics and meningeal worm prevalence in eastern South Dakota, USA: Journal of Wildlife Diseases, v. 53, no. 1, p. 131-135, https://doi.org/10.7589/2016-02-028.","productDescription":"5 p.","startPage":"131","endPage":"135","ipdsId":"IP-069157","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":488544,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/219","text":"External Repository"},{"id":333229,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"587f3bdbe4b0d96de2564533","contributors":{"authors":[{"text":"Jacques, Christopher N.","contributorId":15521,"corporation":false,"usgs":true,"family":"Jacques","given":"Christopher","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":658503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenks, Jonathan A.","contributorId":51591,"corporation":false,"usgs":true,"family":"Jenks","given":"Jonathan A.","affiliations":[],"preferred":false,"id":658504,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":658496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dubay, Shelli A.","contributorId":171437,"corporation":false,"usgs":false,"family":"Dubay","given":"Shelli","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":658505,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70179740,"text":"70179740 - 2017 - Synthesis of soil-hydraulic properties and infiltration timescales in wildfire-affected soils","interactions":[],"lastModifiedDate":"2017-01-17T10:28:25","indexId":"70179740","displayToPublicDate":"2017-01-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Synthesis of soil-hydraulic properties and infiltration timescales in wildfire-affected soils","docAbstract":"We collected soil-hydraulic property data from the literature for wildfire-affected soils, ash, and unburned soils. These data were used to calculate metrics and timescales of hydrologic response related to infiltration and surface runoff generation. Sorptivity (S) and wetting front potential (Ψf) were significantly different (lower) in burned soils compared with unburned soils, whereas field-saturated hydraulic conductivity (Kfs) was not significantly different. The magnitude and duration of the influence of capillarity during infiltration was greatly reduced in burned soils, causing faster ponding times in response to rainfall. Ash had large values of S and Kfs but moderate values of Ψf, compared with unburned and burned soils, indicating ash has long ponding times in response to rainfall. The ratio of S2/Kfs was nearly constant (~100 mm) for unburned soils but more variable in burned soils, suggesting that unburned soils have a balance between gravity and capillarity contributions to infiltration that may depend on soil organic matter, whereas in burned soils the gravity contribution to infiltration is greater. Changes in S and Kfs in burned soils act synergistically to reduce infiltration and accelerate and amplify surface runoff generation. Synthesis of these findings identifies three key areas for future research. First, short timescales of capillary influences on infiltration indicate the need for better measurements of infiltration at times less than 1 min to accurately characterize S in burned soils. Second, using parameter values, such as Ψf, from unburned areas could produce substantial errors in hydrologic modeling when used without adjustment for wildfire effects, causing parameter compensation and resulting underestimation of Kfs. Third, more thorough measurement campaigns that capture soil-structural changes, organic matter impacts, quantitative water repellency trends, and soil-water content along with soil-hydraulic properties could drive the development of better techniques for numerically simulating infiltration in burned areas.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10998","usgsCitation":"Ebel, B.A., and Moody, J.A., 2017, Synthesis of soil-hydraulic properties and infiltration timescales in wildfire-affected soils: Hydrological Processes, v. 31, no. 2, p. 324-340, https://doi.org/10.1002/hyp.10998.","productDescription":"17 p.","startPage":"324","endPage":"340","ipdsId":"IP-078817","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":333232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-10","publicationStatus":"PW","scienceBaseUri":"587f3bdbe4b0d96de2564535","contributors":{"authors":[{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":658484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":658485,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189342,"text":"70189342 - 2017 - Inferring infection hazard in wildlife populations by linking data across individual and population scales","interactions":[],"lastModifiedDate":"2018-03-26T14:20:04","indexId":"70189342","displayToPublicDate":"2017-01-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Inferring infection hazard in wildlife populations by linking data across individual and population scales","docAbstract":"Our ability to infer unobservable disease-dynamic processes such as force of infection (infection hazard for susceptible hosts) has transformed our understanding of disease transmission mechanisms and capacity to predict disease dynamics. Conventional methods for inferring FOI estimate a time-averaged value and are based on population-level processes. Because many pathogens exhibit epidemic cycling and FOI is the result of processes acting across the scales of individuals and populations, a flexible framework that extends to epidemic dynamics and links within-host processes to FOI is needed. Specifically, within-host antibody kinetics in wildlife hosts can be short-lived and produce patterns that are repeatable across individuals, suggesting individual-level antibody concentrations could be used to infer time since infection and hence FOI. Using simulations and case studies (influenza A in lesser snow geese and Yersinia pestis in coyotes), we argue that with careful experimental and surveillance design, the population-level FOI signal can be recovered from individual-level antibody kinetics, despite substantial individual-level variation. In addition to improving inference, the cross-scale quantitative antibody approach we describe can reveal insights into drivers of individual-based variation in disease response, and the role of poorly understood processes such as secondary infections, in population-level dynamics of disease.
","language":"English","publisher":"Wiley","doi":"10.1111/ele.12732","usgsCitation":"Pepin, K., Kay, S.L., Golas, B., Shriner, S.A., Gilbert, A.T., Miller, R.S., Graham, A.L., Riley, S., Cross, P.C., Samuel, M.D., Hooten, M., Hoeting, J.A., Lloyd-Smith, J., Webb, C.T., and Buhnerkempe, M.G., 2017, Inferring infection hazard in wildlife populations by linking data across individual and population scales: Ecology Letters, v. 20, no. 3, p. 275-292, https://doi.org/10.1111/ele.12732.","productDescription":"18 p.","startPage":"275","endPage":"292","ipdsId":"IP-079399","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":470135,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ele.12732","text":"Publisher Index Page"},{"id":343590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"3","noUsgsAuthors":false,"publicationDate":"2017-01-16","publicationStatus":"PW","scienceBaseUri":"5965b234e4b0d1f9f05b37e1","contributors":{"authors":[{"text":"Pepin, Kim M. 0000-0002-9931-8312","orcid":"https://orcid.org/0000-0002-9931-8312","contributorId":187441,"corporation":false,"usgs":false,"family":"Pepin","given":"Kim M.","affiliations":[],"preferred":false,"id":704280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kay, Shannon L.","contributorId":193049,"corporation":false,"usgs":false,"family":"Kay","given":"Shannon","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":704281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Golas, Ben D.","contributorId":194478,"corporation":false,"usgs":false,"family":"Golas","given":"Ben 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L.","contributorId":194479,"corporation":false,"usgs":false,"family":"Graham","given":"Andrea","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":704286,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Riley, Steven","contributorId":194480,"corporation":false,"usgs":false,"family":"Riley","given":"Steven","email":"","affiliations":[],"preferred":false,"id":704287,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":704288,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":704289,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":704290,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hoeting, Jennifer A.","contributorId":168403,"corporation":false,"usgs":false,"family":"Hoeting","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":704291,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lloyd-Smith, James O.","contributorId":31354,"corporation":false,"usgs":true,"family":"Lloyd-Smith","given":"James O.","affiliations":[],"preferred":false,"id":704292,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Webb, Colleen T.","contributorId":52471,"corporation":false,"usgs":true,"family":"Webb","given":"Colleen","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":704293,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Buhnerkempe, Michael G.","contributorId":194481,"corporation":false,"usgs":false,"family":"Buhnerkempe","given":"Michael","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":704294,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70179766,"text":"70179766 - 2017 - Sparse targets in hydroacoustic surveys: Balancing quantity and quality of in situ target strength data","interactions":[],"lastModifiedDate":"2017-01-17T14:30:46","indexId":"70179766","displayToPublicDate":"2017-01-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Sparse targets in hydroacoustic surveys: Balancing quantity and quality of in situ target strength data","docAbstract":"Hydroacoustic sampling of low-density fish in shallow water can lead to low sample sizes of naturally variable target strength (TS) estimates, resulting in both sparse and variable data. Increasing maximum beam compensation (BC) beyond conventional values (i.e., 3 dB beam width) can recover more targets during data analysis; however, data quality decreases near the acoustic beam edges. We identified the optimal balance between data quantity and quality with increasing BC using a standard sphere calibration, and we quantified the effect of BC on fish track variability, size structure, and density estimates of Lake Erie walleye (Sander vitreus). Standard sphere mean TS estimates were consistent with theoretical values (−39.6 dB) up to 18-dB BC, while estimates decreased at greater BC values. Natural sources (i.e., residual and mean TS) dominated total fish track variation, while contributions from measurement related error (i.e., number of single echo detections (SEDs) and BC) were proportionally low. Increasing BC led to more fish encounters and SEDs per fish, while stability in size structure and density were observed at intermediate values (e.g., 18 dB). Detection of medium to large fish (i.e., age-2+ walleye) benefited most from increasing BC, as proportional changes in size structure and density were greatest in these size categories. Therefore, when TS data are sparse and variable, increasing BC to an optimal value (here 18 dB) will maximize the TS data quantity while limiting lower-quality data near the beam edges.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2016.12.020","usgsCitation":"DuFour, M., Mayer, C.M., Kocovsky, P., Qian, S., Warner, D.M., Kraus, R.T., and Vandergoot, C., 2017, Sparse targets in hydroacoustic surveys: Balancing quantity and quality of in situ target strength data: Fisheries Research, v. 188, p. 173-182, https://doi.org/10.1016/j.fishres.2016.12.020.","productDescription":"10 p.","startPage":"173","endPage":"182","ipdsId":"IP-073392","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":470134,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fishres.2016.12.020","text":"Publisher Index Page"},{"id":333261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.5455322265625,\n 41.31288691435732\n ],\n [\n -83.5455322265625,\n 42.1613675328748\n ],\n [\n -82.342529296875,\n 42.1613675328748\n ],\n [\n -82.342529296875,\n 41.31288691435732\n ],\n [\n -83.5455322265625,\n 41.31288691435732\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"188","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"587f3bd9e4b0d96de256452f","contributors":{"authors":[{"text":"DuFour, Mark R.","contributorId":36451,"corporation":false,"usgs":true,"family":"DuFour","given":"Mark R.","affiliations":[],"preferred":false,"id":658602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mayer, Christine M.","contributorId":50814,"corporation":false,"usgs":true,"family":"Mayer","given":"Christine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":658603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":658604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qian, Song","contributorId":36400,"corporation":false,"usgs":true,"family":"Qian","given":"Song","affiliations":[],"preferred":false,"id":658605,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warner, David M. 0000-0003-4939-5368 dmwarner@usgs.gov","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":2986,"corporation":false,"usgs":true,"family":"Warner","given":"David","email":"dmwarner@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":658607,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kraus, Richard T. 0000-0003-4494-1841 rkraus@usgs.gov","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":2609,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","email":"rkraus@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":658601,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vandergoot, Christopher 0000-0003-4128-3329 cvandergoot@usgs.gov","orcid":"https://orcid.org/0000-0003-4128-3329","contributorId":178356,"corporation":false,"usgs":true,"family":"Vandergoot","given":"Christopher","email":"cvandergoot@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":658606,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70176845,"text":"sir20165141 - 2017 - Automated identification of stream-channel geomorphic features from high‑resolution digital elevation models in West Tennessee watersheds","interactions":[],"lastModifiedDate":"2017-01-17T10:01:10","indexId":"sir20165141","displayToPublicDate":"2017-01-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5141","title":"Automated identification of stream-channel geomorphic features from high‑resolution digital elevation models in West Tennessee watersheds","docAbstract":"High-resolution digital elevation models (DEMs) derived from light detection and ranging (lidar) enable investigations of stream-channel geomorphology with much greater precision than previously possible. The U.S. Geological Survey has developed the DEM Geomorphology Toolbox, containing seven tools to automate the identification of sites of geomorphic instability that may represent sediment sources and sinks in stream-channel networks. These tools can be used to modify input DEMs on the basis of known locations of stormwater infrastructure, derive flow networks at user-specified resolutions, and identify possible sites of geomorphic instability including steep banks, abrupt changes in channel slope, or areas of rough terrain. Field verification of tool outputs identified several tool limitations but also demonstrated their overall usefulness in highlighting likely sediment sources and sinks within channel networks. In particular, spatial clusters of outputs from multiple tools can be used to prioritize field efforts to assess and restore eroding stream reaches.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165141","collaboration":"Prepared in cooperation with the Southwest Tennessee Development District","usgsCitation":"Cartwright, J.M., and Diehl, T.H., 2017, Automated identification of stream-channel geomorphic features from high‑resolution digital elevation models in West Tennessee watersheds: U.S. Geological Survey Scientific Investigations Report 2016–5141, 44 p., https://doi.org/10.3133/sir20165141.","productDescription":"Report: viii, 44 p.","numberOfPages":"56","onlineOnly":"N","ipdsId":"IP-069614","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":333061,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5141/coverthb.jpg"},{"id":333062,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5141/sir20165141.pdf","text":"Report","size":"5.65 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5141"}],"country":"United States","state":"Tennessee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.7167,\n 35.488209890395495\n ],\n [\n -88.7167,\n 35.5333\n ],\n [\n -88.65,\n 35.5333\n ],\n [\n -88.65,\n 35.488209890395495\n ],\n [\n -88.7167,\n 35.488209890395495\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
540 Grassmere Park, Suite 100
Nashville, Tennessee 37211
Endangered whooping cranes (Grus americana) of the Aransas-Wood Buffalo population migrate through the Great Plains twice each year. Although there is much interest in conservation and management for this species, information regarding characteristics of nocturnal roost sites used during migration has been limited and based largely on incidental observations. Using high-quality location data collected concurrently, we directed a companion field study designed to characterize sites used as roost or day-use sites to augment knowledge and assist the Platte River Recovery Implementation Program in identifying migration habitat for restoration, conservation, and management actions along the Platte River in central Nebraska. We collected data at 504 roost sites and 83 day-use sites used by marked whooping cranes in Texas, Oklahoma, Kansas, Nebraska, South Dakota, North Dakota, Minnesota, and Montana. Roost sites were located in emergent wetlands (50 percent), lacustrine wetlands (25 percent), rivers (20 percent), and dryland sites (5 percent). Most day-use sites were characterized as dryland sites (54 percent), with the balance in wetlands (45 percent) and rivers (1 percent). Habitat criteria thresholds initially derived by the Platte River Recovery Implementation Program to represent where 90 percent of whooping cranes used along the Platte River were different from those we measured over a larger section of the migration corridor. For most of the metrics, the Platte River Recovery Implementation Program’s initial habitat criteria thresholds would be considered more conservative than critical values estimated from our data; thus, whooping cranes were seemingly able to tolerate a wider range of these metrics than initially suspected. One exception was the metric distance to nearest disturbance feature, where our results suggest that whooping cranes may be less tolerant to nearby disturbances in a larger part of the migration corridor compared to the Platte River. We also determined correlations among some metrics and that using the criteria collectively lead to less than 50 percent of sites we measured being considered whooping crane habitat by the Platte River Recovery Implementation Program. A better understanding of how metrics function collectively may be useful for future efforts in defining habitat for migrating whooping cranes.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161209","collaboration":"Prepared in cooperation with the Platte River Recovery Implementation Program and Crane Trust","usgsCitation":"Pearse, A.T., Harner, M.J., Baasch, D.M., Wright, G.D., Caven, A.J., and Metzger, K.L., 2017, Evaluation of nocturnal roost and diurnal sites used by whooping cranes in the Great Plains, United States: U.S. Geological Survey Open-File Report 2016–1209, 29 p., https://doi.org/10.3133/ofr20161209.","productDescription":"v, 29 p.","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-078087","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":332999,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1209/ofr20161209.pdf","text":"Report","size":"6.71 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1209"},{"id":332998,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1209/coverthb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.67773437499999,\n 28.9600886880068\n ],\n [\n -104.67773437499999,\n 49.03786794532644\n ],\n [\n -94.7021484375,\n 49.03786794532644\n ],\n [\n -94.7021484375,\n 28.9600886880068\n ],\n [\n -104.67773437499999,\n 28.9600886880068\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401
In the Laurentian Great Lakes, zooplankters are often sampled using standard ≤153 μm mesh nets without regard to the time of day they are collected. We sampled Cercopagidae during 2013–2014 in northern Lake Huron during day, dusk, and night using two different nets (a 0.5 m wide 153 μm mesh “standard” net and a 0.75 m wide 285 μm mesh “Bythotrephes” net) to determine if there were any differences in their sampled densities. Bythotrephes densities with the standard net were approximately 2.07-fold greater when captured at night than during the day. No time of day bias occurred with the Bythotrephes net. Nighttime Bythotrephes densities did not differ between the two net types. Cercopagis densities did not vary with net type or the time of day in this study, but future work should revisit this result given our low sample size and the low occurrence of Cercopagis in Lake Huron. To reduce bias and calculate accurate density estimates, Cercopagidae should be sampled at night if using a standard net or any time of day with the Bythotrephes net. Given the large impact of invasive predatory cladocerans Bythotrephes longimanus and Cercopagis pengoi on food webs since their invasion in the Laurentian Great Lakes in the 1980s, proper estimation of their densities is essential.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2016.12.001","usgsCitation":"Dieter, P.M., Bunnell, D., Adams, J.V., Watson, N.M., and Woelmer, W., 2017, It's like night and day: Diel net-effects on Cercopagidae densities in the Laurentian Great Lakes: Journal of Great Lakes Research, v. 43, no. 2, p. 394-398, https://doi.org/10.1016/j.jglr.2016.12.001.","productDescription":"5 p.","startPage":"394","endPage":"398","ipdsId":"IP-073738","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":470136,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2016.12.001","text":"Publisher Index Page"},{"id":333280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"587f3bd9e4b0d96de256452d","chorus":{"doi":"10.1016/j.jglr.2016.12.001","url":"http://dx.doi.org/10.1016/j.jglr.2016.12.001","publisher":"Elsevier BV","authors":"Armenio Patricia M., Bunnell David B., Adams Jean V., Watson Nicole M., Woelmer Whitney","journalName":"Journal of Great Lakes Research","publicationDate":"4/2017"},"contributors":{"authors":[{"text":"Dieter, Patricia M. 0000-0003-1686-2679 parmenio@usgs.gov","orcid":"https://orcid.org/0000-0003-1686-2679","contributorId":5289,"corporation":false,"usgs":true,"family":"Dieter","given":"Patricia","email":"parmenio@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":658686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":169859,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":658687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":658689,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watson, Nicole M. 0000-0002-9424-7615 nwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-9424-7615","contributorId":5853,"corporation":false,"usgs":true,"family":"Watson","given":"Nicole","email":"nwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":658688,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woelmer, Whitney 0000-0001-5147-3877 wwoelmer@usgs.gov","orcid":"https://orcid.org/0000-0001-5147-3877","contributorId":150485,"corporation":false,"usgs":true,"family":"Woelmer","given":"Whitney","email":"wwoelmer@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":658690,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70179735,"text":"70179735 - 2017 - The precipitation of indium at elevated pH in a stream influenced by acid mine drainage","interactions":[],"lastModifiedDate":"2018-11-26T09:08:36","indexId":"70179735","displayToPublicDate":"2017-01-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"The precipitation of indium at elevated pH in a stream influenced by acid mine drainage","docAbstract":"Indium is an increasingly important metal in semiconductors and electronics and has uses in important energy technologies such as photovoltaic cells and light-emitting diodes (LEDs). One significant flux of indium to the environment is from lead, zinc, copper, and tin mining and smelting, but little is known about its aqueous behavior after it is mobilized. In this study, we use Mineral Creek, a headwater stream in southwestern Colorado severely affected by heavy metal contamination as a result of acid mine drainage, as a natural laboratory to study the aqueous behavior of indium. At the existing pH of ~ 3, indium concentrations are 6–29 μg/L (10,000 × those found in natural rivers), and are completely filterable through a 0.45 μm filter. During a pH modification experiment, the pH of the system was raised to > 8, and > 99% of the indium became associated with the suspended solid phase (i.e. does not pass through a 0.45 μm filter). To determine the mechanism of removal of indium from the filterable and likely primarily dissolved phase, we conducted laboratory experiments to determine an upper bound for a sorption constant to iron oxides, and used this, along with other published thermodynamic constants, to model the partitioning of indium in Mineral Creek. Modeling results suggest that the removal of indium from the filterable phase is consistent with precipitation of indium hydroxide from a dissolved phase. This work demonstrates that nonferrous mining processes can be a significant source of indium to the environment, and provides critical information about the aqueous behavior of indium.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.08.136","usgsCitation":"White, S., Hussain, F.A., Hemond, H.F., Sacco, S.A., Shine, J.P., Runkel, R.L., Walton-Day, K., and Kimball, B.A., 2017, The precipitation of indium at elevated pH in a stream influenced by acid mine drainage: Science of the Total Environment, v. 574, p. 1484-1491, https://doi.org/10.1016/j.scitotenv.2016.08.136.","productDescription":"8 p.","startPage":"1484","endPage":"1491","ipdsId":"IP-052032","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":333234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","volume":"574","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"587f3bdbe4b0d96de2564537","contributors":{"authors":[{"text":"White, Sarah Jane O.","contributorId":178311,"corporation":false,"usgs":false,"family":"White","given":"Sarah Jane O.","affiliations":[],"preferred":false,"id":658466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hussain, Fatima A.","contributorId":178312,"corporation":false,"usgs":false,"family":"Hussain","given":"Fatima","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":658467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hemond, Harold F.","contributorId":34673,"corporation":false,"usgs":false,"family":"Hemond","given":"Harold","email":"","middleInitial":"F.","affiliations":[{"id":13299,"text":"Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA","active":true,"usgs":false}],"preferred":false,"id":658468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sacco, Sarah A.","contributorId":178313,"corporation":false,"usgs":false,"family":"Sacco","given":"Sarah","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":658471,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shine, James P.","contributorId":178314,"corporation":false,"usgs":false,"family":"Shine","given":"James","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":658472,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658465,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Walton-Day, Katherine 0000-0002-9146-6193 kwaltond@usgs.gov","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":1245,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","email":"kwaltond@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":658469,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kimball, Briant A. bkimball@usgs.gov","contributorId":533,"corporation":false,"usgs":true,"family":"Kimball","given":"Briant","email":"bkimball@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658470,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70179745,"text":"70179745 - 2017 - Signals of impending change","interactions":[],"lastModifiedDate":"2017-01-17T10:20:53","indexId":"70179745","displayToPublicDate":"2017-01-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5263,"text":"Nature Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Signals of impending change","docAbstract":"Society has an increasing awareness that there are finite limits to what we can expect the planet to absorb and still provide goods and services at current rates1. Both historical reconstructions and contemporary events continue to remind us that ecological regime changes are often abrupt rather than gradual. This reality motivates researchers who seek to discover leading indicators for impending ecosystem change. Berdugo et al.2 report an important advance in our ability to anticipate the conversion of arid lands from self-organized, self-maintaining and productive ecosystems, to a state characterized by disorganization and low functionality. Such conversions have important implications for our understanding of ‘desertification’ — which is a shift from arid to desert-like conditions.
Theoretical studies have suggested that patterns in the patchiness of vegetation might indicate how close a system is to making an abrupt change to desert-like conditions3,4,5. Empirical studies, however, have tended to show instead that simply the total cover of vegetation, rather than its arrangement, often foretells the state of the system4,5,6,7,8,9. Berdugo et al.2 combine these competing ideas into one integrated perspective. They show how major environmental drivers, such as aridity, influence both vegetation cover and patchiness, as well as where self-organizing, stabilizing forces in the vegetation are likely to be found.
The study of animal movement has always been a key element in ecological science, because it is inherently linked to critical processes that scale from individuals to populations and communities to ecosystems. Rapid improvements in biotelemetry data collection and processing technology have given rise to a variety of statistical methods for characterizing animal movement. The book serves as a comprehensive reference for the types of statistical models used to study individual-based animal movement.
","language":"English","publisher":"CRC Press","isbn":"9781466582149","usgsCitation":"Hooten, M., Johnson, D., McClintock, B.T., and Morales, J.M., 2017, Animal movement: Statistical models for telemetry data, 306 p.","productDescription":"306 p.","ipdsId":"IP-075857","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":350690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350689,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Animal-Movement-Statistical-Models-for-Telemetry-Data/Hooten-Johnson-McClintock-Morales/p/book/9781466582149"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6c4c94e4b06e28e9cabafa","contributors":{"authors":[{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Devin S.","contributorId":47524,"corporation":false,"usgs":true,"family":"Johnson","given":"Devin S.","affiliations":[],"preferred":false,"id":725947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McClintock, Brett T. 0000-0001-6154-4376","orcid":"https://orcid.org/0000-0001-6154-4376","contributorId":83785,"corporation":false,"usgs":true,"family":"McClintock","given":"Brett","email":"","middleInitial":"T.","affiliations":[{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":725948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morales, Juan M.","contributorId":171521,"corporation":false,"usgs":false,"family":"Morales","given":"Juan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":725949,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250956,"text":"70250956 - 2017 - Thermodynamic properties in the Fe(II)-Fe(III)-As(V)-HClO4–H2O and Fe(II)-Fe(III)-As(V)-HCl–H2O systems from 5 to 90 °C","interactions":[],"lastModifiedDate":"2024-01-16T12:17:08.51847","indexId":"70250956","displayToPublicDate":"2017-01-16T06:13:54","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Thermodynamic properties in the Fe(II)-Fe(III)-As(V)-HClO4–H2O and Fe(II)-Fe(III)-As(V)-HCl–H2O systems from 5 to 90 °C","docAbstract":"Fe-As mineral solubility and associated aqueous species have been intensively studied because of the environmental need to immobilize arsenic. The thermodynamic data for aqueous iron-arsenic species are inadequately characterized, however. The Gibbs free energy, enthalpy, entropy, and heat capacity and activity coefficients were refined in the Fe(II)-Fe(III)-As(V)-HClO4-H2O and Fe(II)-Fe(III)-As(V)-HCl-H2O systems using redox potential measurements from 5 to 90 °C. The association constants for FeHAsO4+ and FeH2AsO42 + at 25 °C were 1010.28 and 104.02 and the corresponding association reaction enthalpies and heat capacities were 25.74 and 8.73 kJ mol− 1 and 843.1 and − 529.6 J K −1mol− 1, respectively. Activity coefficients for H+, ClO4−, Fe2 +, Fe3 +, HAsO42 −, and H2AsO4− at 25 °C in the form of the Hückel equation were derived for ionic strengths up to 1 mol− 1 kg− 1. Newly derived activity coefficients and thermodynamic data were incorporated into PHREEQCI to calculate the Eh of laboratory solutions. The differences between calculated and measured Eh were all within 10 mV and relative differences were all lower than 1.5%.
The introduction of aquatic invasive species to non-native habitats can cause negative ecological effects and also billions of dollars in economic damage to governments and private industries. Once aquatic invasive species are introduced, eradication may be difficult without adversely affecting native species and habitats, urging resource managers to find preventative methods to protect non-invaded areas. The use of ozone (O3) as a non-physical barrier has shown promise as it is lethal to a wide range of aquatic taxa, requires a short contact time, and is relatively environmentally safe in aquatic systems when compared to other chemicals. However, before O3 can be considered as an approach to prevent the spread of aquatic invasive species, its effects on non-target organisms and already established aquatic invasive species must be fully evaluated. A review of the current literature was conducted to summarize data regarding the effects of O3 on aquatic taxa including fish, macroinvertebrates, zooplankton, phytoplankton, microbes, and pathogens. In addition, we assessed the practicality of ozone applications to control the movement of aquatic invasive species, and identified data gaps concerning the use of O3 as a non-physical barrier in field applications.
","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre (REABIC)","doi":"10.3391/mbi.2017.8.1.02","usgsCitation":"Buley, R., Hasler, C.T., Tix, J., Suski, C., and Hubert, T.D., 2017, Can ozone be used to control the spread of freshwater Aquatic Invasive Species?: Management of Biological Invasions, v. 8, no. 1, p. 13-24, https://doi.org/10.3391/mbi.2017.8.1.02.","productDescription":"12 p.","startPage":"13","endPage":"24","ipdsId":"IP-076249","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":470138,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2017.8.1.02","text":"Publisher Index Page"},{"id":338813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de194fe4b02ff32c699c9f","contributors":{"authors":[{"text":"Buley, Riley P.","contributorId":190149,"corporation":false,"usgs":false,"family":"Buley","given":"Riley P.","affiliations":[],"preferred":false,"id":687408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hasler, Caleb T.","contributorId":190150,"corporation":false,"usgs":false,"family":"Hasler","given":"Caleb","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":687409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tix, John A.","contributorId":126766,"corporation":false,"usgs":false,"family":"Tix","given":"John A.","affiliations":[{"id":6602,"text":"Great Lakes Science Center, Hammond Bay Biological Station","active":true,"usgs":false}],"preferred":false,"id":687410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Suski, C. D.","contributorId":190151,"corporation":false,"usgs":false,"family":"Suski","given":"C.","middleInitial":"D.","affiliations":[],"preferred":false,"id":687411,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hubert, Terrance D. 0000-0001-9712-1738 thubert@usgs.gov","orcid":"https://orcid.org/0000-0001-9712-1738","contributorId":3036,"corporation":false,"usgs":true,"family":"Hubert","given":"Terrance","email":"thubert@usgs.gov","middleInitial":"D.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687412,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70179654,"text":"sir20175001 - 2017 - Methods for estimating selected low-flow frequency statistics and mean annual flow for ungaged locations on streams in North Georgia","interactions":[],"lastModifiedDate":"2017-01-13T14:05:48","indexId":"sir20175001","displayToPublicDate":"2017-01-13T13:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5001","title":"Methods for estimating selected low-flow frequency statistics and mean annual flow for ungaged locations on streams in North Georgia","docAbstract":"The U.S. Geological Survey, in cooperation with the Georgia Department of Natural Resources, Environmental Protection Division, developed regional regression equations for estimating selected low-flow frequency and mean annual flow statistics for ungaged streams in north Georgia that are not substantially affected by regulation, diversions, or urbanization. Selected low-flow frequency statistics and basin characteristics for 56 streamgage locations within north Georgia and 75 miles beyond the State’s borders in Alabama, Tennessee, North Carolina, and South Carolina were combined to form the final dataset used in the regional regression analysis. Because some of the streamgages in the study recorded zero flow, the final regression equations were developed using weighted left-censored regression analysis to analyze the flow data in an unbiased manner, with weights based on the number of years of record. The set of equations includes the annual minimum 1- and 7-day average streamflow with the 10-year recurrence interval (referred to as 1Q10 and 7Q10), monthly 7Q10, and mean annual flow. The final regional regression equations are functions of drainage area, mean annual precipitation, and relief ratio for the selected low-flow frequency statistics and drainage area and mean annual precipitation for mean annual flow. The average standard error of estimate was 13.7 percent for the mean annual flow regression equation and ranged from 26.1 to 91.6 percent for the selected low-flow frequency equations.
The equations, which are based on data from streams with little to no flow alterations, can be used to provide estimates of the natural flows for selected ungaged stream locations in the area of Georgia north of the Fall Line. The regression equations are not to be used to estimate flows for streams that have been altered by the effects of major dams, surface-water withdrawals, groundwater withdrawals (pumping wells), diversions, or wastewater discharges. The regression equations should be used only for ungaged sites with drainage areas between 1.67 and 576 square miles, mean annual precipitation between 47.6 and 81.6 inches, and relief ratios between 0.146 and 0.607; these are the ranges of the explanatory variables used to develop the equations. An attempt was made to develop regional regression equations for the area of Georgia south of the Fall Line by using the same approach used during this study for north Georgia; however, the equations resulted with high average standard errors of estimates and poorly predicted flows below 0.5 cubic foot per second, which may be attributed to the karst topography common in that area.
The final regression equations developed from this study are planned to be incorporated into the U.S. Geological Survey StreamStats program. StreamStats is a Web-based geographic information system that provides users with access to an assortment of analytical tools useful for water-resources planning and management, and for engineering design applications, such as the design of bridges. The StreamStats program provides streamflow statistics and basin characteristics for U.S. Geological Survey streamgage locations and ungaged sites of interest. StreamStats also can compute basin characteristics and provide estimates of streamflow statistics for ungaged sites when users select the location of a site along any stream in Georgia.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175001","collaboration":"Prepared in cooperation with the Georgia Department of Natural Resources, Environmental Protection Division","usgsCitation":"Gotvald, A.J., 2017, Methods for estimating selected low-flow frequency statistics and mean annual flow for ungaged locations on streams in North Georgia: U.S. Geological Survey Scientific Investigations Report 2017–5001, 25 p., https://doi.org/10.3133/sir20175001. ","productDescription":"Report: vi, 25 p.; 3 Tables","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-077003","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":333138,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5001/sir20175001.pdf","text":"Report","size":"1.35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5001"},{"id":333139,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2017/5001/sir20175001_tables1-2-5.xlsx","text":"Tables 1, 2, and 5 - ","size":"74.8 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"Table 1. Description of streamgages evaluated for use in the regional regression analysis for north GeorgiaDirector, 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/
Recent reports suggest that host-seeking nymphs in southern populations of Ixodes scapularis remain below the leaf litter surface, while northern nymphs seek hosts on leaves and twigs above the litter surface. This behavioral difference potentially results in decreased tick contact with humans in the south, and fewer cases of Lyme disease. We studied whether north-south differences in tick survival patterns might contribute to this phenomenon. Four month old larvae resulting from a cross between Wisconsin males and South Carolina females died faster under southern than under northern conditions in the lab, as has previously been reported for ticks from both northern and southern populations. However, newly-emerged larvae from Rhode Island parents did not differ consistently in mortality under northern and southern conditions, possibly because of their younger age. Survival is lower, and so the north-south survival difference might be greater in older ticks. Larval survival was positively related to larval size (as measured by scutal area), while survival was positively related to larval fat content in some, but not all, trials. The difference in larval survival under northern vs. southern conditions might simply result from faster metabolism under warmer southern conditions leading to shorter life spans. However, ticks consistently died faster under southern than under northern conditions in the laboratory when relative humidity was low (75%), but not under moderate (85%) or high (95%) RH. Therefore, mortality due to desiccation stress is greater under southern than under northern conditions. We hypothesize that mortality resulting from the greater desiccation stress under southern conditions acts as a selective pressure resulting in the evolution of host-seeking behavior in which immatures remain below the leaf litter surface in southern I. scapularis populations, so as to avoid the desiccating conditions at the surface. If this hypothesis is correct, it has implications for the effect of climate change on the future distribution of Lyme disease.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0168723","usgsCitation":"Ginsberg, H., Albert, M., Acevedo, L., Dyer, M.C., Arsnoe, I.M., Tsao, J.I., Mather, T.N., and LeBrun, R.A., 2017, Environmental factors affecting survival of immature Ixodes scapularis and implications for geographical distribution of lyme disease: The climate/behavior hypothesis: PLoS ONE, v. 12, no. 1, e0168723; 17 p., https://doi.org/10.1371/journal.pone.0168723.","productDescription":"e0168723; 17 p.","ipdsId":"IP-079492","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":461787,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0168723","text":"Publisher Index Page"},{"id":333208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-11","publicationStatus":"PW","scienceBaseUri":"5879f5a8e4b0847d353f44b8","contributors":{"authors":[{"text":"Ginsberg, Howard S. 0000-0002-4933-2466 hginsberg@usgs.gov","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":147665,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard S.","email":"hginsberg@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":658444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Albert, Marisa","contributorId":178307,"corporation":false,"usgs":false,"family":"Albert","given":"Marisa","email":"","affiliations":[],"preferred":false,"id":658445,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Acevedo, Lixis","contributorId":178308,"corporation":false,"usgs":false,"family":"Acevedo","given":"Lixis","email":"","affiliations":[],"preferred":false,"id":658446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dyer, Megan C.","contributorId":178309,"corporation":false,"usgs":false,"family":"Dyer","given":"Megan","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":658447,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arsnoe, Isis M.","contributorId":140902,"corporation":false,"usgs":false,"family":"Arsnoe","given":"Isis","email":"","middleInitial":"M.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":658448,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tsao, Jean I.","contributorId":140905,"corporation":false,"usgs":false,"family":"Tsao","given":"Jean","email":"","middleInitial":"I.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":658449,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mather, Thomas N.","contributorId":178310,"corporation":false,"usgs":false,"family":"Mather","given":"Thomas","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":658450,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"LeBrun, Roger A.","contributorId":70907,"corporation":false,"usgs":false,"family":"LeBrun","given":"Roger","email":"","middleInitial":"A.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":658451,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70179440,"text":"ds1032 - 2017 - Coastal bathymetry data collected in 2013 from the Chandeleur Islands, Louisiana","interactions":[],"lastModifiedDate":"2017-01-12T08:50:59","indexId":"ds1032","displayToPublicDate":"2017-01-12T09:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1032","title":"Coastal bathymetry data collected in 2013 from the Chandeleur Islands, Louisiana","docAbstract":"As part of the Barrier Island Evolution Research Project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys around the northern Chandeleur Islands, Louisiana, in July and August of 2013. The objective of the study is to better understand barrier-island geomorphic evolution, particularly storm-related depositional and erosional processes that shape the islands over annual to interannual timescales (1‒5 years). Collecting geophysical data will allow us to identify relationships between the geologic history of the island and its present day morphology and sediment distribution. This mapping effort was the third in a series of three planned surveys in this area. High resolution geophysical data collected in each of three consecutive years along this rapidly changing barrier island system will provide a unique time-series dataset that will significantly further the analyses and geomorphological interpretations of this and other coastal systems, improving our understanding of coastal response and evolution over short time scales (1‒5 years).
This data series includes the geophysical data that were collected during two cruises (USGS Field Activity Numbers (FAN) 13BIM02, 13BIM03, and 13BIM04, in July 2013; and FANs 13BIM07 and 13BIM08 in August 2013) aboard the R/V Sallenger, the R/V Jabba Jaw, and the R/V Shark along the northern portion of the Chandeleur Islands, Breton National Wildlife Refuge, Louisiana. Primary data were acquired with the following equipment: (1) a Systems Engineering and Assessment, Ltd., SWATHplus interferometric sonar (468 kilohertz [kHz]), (2) an EdgeTech 424 (4‒24 kHz) chirp sub-bottom profiling system, and (3) two Odom Hydrographic Systems, Incorporated, Echotrach CV100 single beam echosounders.
This data series report serves as an archive of processed interferometric swath and single-beam bathymetry data. Geographic information system data products include an interpolated digital elevation model, trackline maps, and point data files. Additional files include error analysis maps, Field Activity Collection System logs, and formal Federal Geographic Data Committee metadata.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1032","usgsCitation":"DeWitt, N.T., Miselis, J.L., Fredericks, J.J., Bernier, J.C., Reynolds, B.J., Kelso, K.W., Thompson, D.M., Flocks, J.G., and Wiese, D.S., 2017, Coastal bathymetry data collected in 2013 from the Chandeleur Islands, Louisiana: U.S. Geological Survey Data Series Report 1032, https://doi.org/10.3133/ds1032.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-078418","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":332772,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1032/coverthb.jpg"},{"id":332773,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1032/index.html","text":"Report HTML","linkFileType":{"id":5,"text":"html"},"description":"DS 1032"}],"country":"United States","state":"Louisiana","otherGeospatial":"Chandeleur Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.933333,\n 30.116667\n ],\n [\n -88.933333,\n 29.85\n ],\n [\n -88.733333,\n 29.85\n ],\n [\n -88.733333,\n 30.116667\n ],\n [\n -88.933333,\n 30.116667\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"St. Petersburg Coastal and Marine Science Center
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600 4th Street South
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(727) 502-8000
http://coastal.er.usgs.gov/
Environmental release of veterinary pharmaceuticals has been of regulatory concern for more than a decade. Monensin is a feed additive antibiotic that is prevalent throughout the dairy industry and is excreted in dairy waste. This study investigates the potential of dairy waste management practices to alter the amount of monensin available for release into the environment. Analysis of wastewater and groundwater from two dairy farms in California consistently concluded that monensin is most present in lagoon water and groundwater downgradient of lagoons. Since the lagoons represent a direct source of monensin to groundwater, the effect of waste management, by mechanical screen separation and lagoon aeration, on aqueous monensin concentration was investigated through construction of lagoon microcosms. The results indicate that monensin attenuation is not improved by increased solid-liquid separation prior to storage in lagoons, as monensin is rapidly desorbed after dilution with water. Monensin is also shown to be easily degraded in lagoon microcosms receiving aeration, but is relatively stable and available for leaching under typical anaerobic lagoon conditions.
","language":"English","publisher":"Academic Press","publisherLocation":"New York, NY","doi":"10.1016/j.jenvman.2016.12.024","usgsCitation":"Hafner, S.C., Watanabe, N., Harter, T., Bergamaschi, B.A., and Parikh, S.J., 2017, Effects of solid-liquid separation and storage on monensin attenuation in dairy waste management systems: Journal of Environmental Management, v. 190, p. 28-34, https://doi.org/10.1016/j.jenvman.2016.12.024.","productDescription":"7 p.","startPage":"28","endPage":"34","ipdsId":"IP-082151","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":461791,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2016.12.024","text":"Publisher Index Page"},{"id":333078,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"190","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5878a489e4b04df303d957fa","contributors":{"authors":[{"text":"Hafner, Sarah C.","contributorId":178243,"corporation":false,"usgs":false,"family":"Hafner","given":"Sarah","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":658289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watanabe, Naoko","contributorId":178244,"corporation":false,"usgs":false,"family":"Watanabe","given":"Naoko","email":"","affiliations":[],"preferred":false,"id":658290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harter, Thomas","contributorId":178245,"corporation":false,"usgs":false,"family":"Harter","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":658291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658288,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parikh, Sanjai J.","contributorId":178246,"corporation":false,"usgs":false,"family":"Parikh","given":"Sanjai","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":658292,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70179695,"text":"70179695 - 2017 - Geochemical characteristics of igneous rocks associated with epithermal mineral deposits—A review","interactions":[],"lastModifiedDate":"2017-01-12T11:55:34","indexId":"70179695","displayToPublicDate":"2017-01-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical characteristics of igneous rocks associated with epithermal mineral deposits—A review","docAbstract":"Newly synthesized data indicate that the geochemistry of igneous rocks associated with epithermal mineral deposits varies extensively and continuously from subalkaline basaltic to rhyolitic compositions. Trace element and isotopic data for these rocks are consistent with subduction-related magmatism and suggest that the primary source magmas were generated by partial melting of the mantle-wedge above subducting oceanic slabs. Broad geochemical and petrographic diversity of individual igneous rock units associated with epithermal deposits indicate that the associated magmas evolved by open-system processes. Following migration to shallow crustal reservoirs, these magmas evolved by assimilation, recharge, and partial homogenization; these processes contribute to arc magmatism worldwide.
Although epithermal deposits with the largest Au and Ag production are associated with felsic to intermediate composition igneous rocks, demonstrable relationships between magmas having any particular composition and epithermal deposit genesis are completely absent because the composition of igneous rock units associated with epithermal deposits ranges from basalt to rhyolite. Consequently, igneous rock compositions do not constitute effective exploration criteria with respect to identification of terranes prospective for epithermal deposit formation. However, the close spatial and temporal association of igneous rocks and epithermal deposits does suggest a mutual genetic relationship. Igneous systems likely contribute heat and some of the fluids and metals involved in epithermal deposit formation. Accordingly, deposit formation requires optimization of source metal contents, appropriate fluid compositions and characteristics, structural features conducive to hydrothermal fluid flow and confinement, and receptive host rocks, but not magmas with special compositional characteristics.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2016.08.023","usgsCitation":"du Bray, E.A., 2017, Geochemical characteristics of igneous rocks associated with epithermal mineral deposits—A review: Ore Geology Reviews, v. 80, p. 767-783, https://doi.org/10.1016/j.oregeorev.2016.08.023.","productDescription":"17 p.","startPage":"767","endPage":"783","ipdsId":"IP-066206","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":333082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5878a489e4b04df303d957f8","contributors":{"authors":[{"text":"du Bray, Edward A. 0000-0002-4383-8394 edubray@usgs.gov","orcid":"https://orcid.org/0000-0002-4383-8394","contributorId":755,"corporation":false,"usgs":true,"family":"du Bray","given":"Edward","email":"edubray@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":658321,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70181013,"text":"70181013 - 2017 - The contribution of rice agriculture to methylmercury in surface waters: A review of data from the Sacramento Valley, California","interactions":[],"lastModifiedDate":"2018-09-26T15:43:11","indexId":"70181013","displayToPublicDate":"2017-01-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"The contribution of rice agriculture to methylmercury in surface waters: A review of data from the Sacramento Valley, California","docAbstract":"Methylmercury (MeHg) is a bioaccumulative pollutant produced in and exported from flooded soils, including those used for rice (Oriza sativa L.) production. Using unfiltered aqueous MeHg data from MeHg monitoring programs in the Sacramento River watershed from 1996 to 2007, we assessed the MeHg contribution from rice systems to the Sacramento River. Using a mixed-effects regression analysis, we compared MeHg concentrations in agricultural drainage water from rice-dominated regions (AgDrain) to MeHg concentrations in the Sacramento and Feather Rivers, both upstream and downstream of AgDrain inputs. We also calculated MeHg loads from AgDrains and the Sacramento and Feather Rivers. Seasonally, MeHg concentrations were higher during November through May than during June through October, but the differences varied by location. Relative to upstream, November through May AgDrain least-squares mean MeHg concentration (0.18 ng L−1, range 0.15–0.23 ng L−1) was 2.3-fold higher, while June through October AgDrain mean concentration (0.097 ng L−1, range 0.6–1.6 ng L−1) was not significantly different from upstream. June through October AgDrain MeHg loads contributed 10.7 to 14.8% of the total Sacramento River MeHg load. Missing flow data prevented calculation of the percent contribution of AgDrains in November through May. At sites where calculation was possible, November through May loads made up 70 to 90% of the total annual load. Elevated flow and MeHg concentration in November through May both contribute to the majority of the AgDrain MeHg load occurring during this period. Methylmercury reduction efforts should target elevated November through May MeHg concentrations in AgDrains. However, our findings suggest that the contribution and environmental impact of rice is an order of magnitude lower than previous studies in the California Yolo Bypass.
","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.","doi":"10.2134/jeq2016.07.0262","usgsCitation":"Tanner, K.C., Windham-Myers, L., Fleck, J., Tate, K.W., McCord, S.A., and Linquist, B.A., 2017, The contribution of rice agriculture to methylmercury in surface waters: A review of data from the Sacramento Valley, California: Journal of Environmental Quality, v. 46, no. 1, p. 133-142, https://doi.org/10.2134/jeq2016.07.0262.","productDescription":"9 p.","startPage":"133","endPage":"142","ipdsId":"IP-083271","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470140,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2016.07.0262","text":"Publisher Index Page"},{"id":335172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.0745849609375,\n 38.53957267203905\n ],\n [\n -122.0745849609375,\n 39.41497702499074\n ],\n [\n -121.4044189453125,\n 39.41497702499074\n ],\n [\n -121.4044189453125,\n 38.53957267203905\n ],\n [\n -122.0745849609375,\n 38.53957267203905\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"589ffedee4b099f50d3e0430","contributors":{"authors":[{"text":"Tanner, K. 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We compared four gears: seine, backpack electrofisher, minnow trap, and lighted minnow trap. Gears were tested in backwaters, large channels, and small channels in the Madison River, Montana. No age-0 Mountain Whitefish were captured in minnow traps or lighted minnow traps. Mean CPUE of age-0 Mountain Whitefish was higher for seining (0.18 fish/m2; SD, 0.39) than for electrofishing (0.01 fish/m2; SD, 0.03), and the CV was lower for seining. A broader length distribution was sampled by seining (17–41 mm) than with electrofishing (21–36 mm). Age-0 Mountain Whitefish CPUE in seines was highest in backwaters. In channel sites, Mountain Whitefish presence was associated with areas of still or slow water ≥2 m2. Relative to the other sampling gears we evaluated, seining was the most efficient gear for sampling age-0 Mountain Whitefish in a lotic ecosystem.
","language":"English","publisher":"Taylor and Francis Online","doi":"10.1080/02755947.2016.1254128","usgsCitation":"Boyer, J.K., Guy, C.S., Webb, M., Horton, T.B., and McMahon, T., 2017, Gear comparison for sampling age-0 Mountain Whitefish in the Madison River, Montana: North American Journal of Fisheries Management, v. 37, no. 1, p. 189-195, https://doi.org/10.1080/02755947.2016.1254128.","productDescription":"8 p. ","startPage":"189","endPage":"195","ipdsId":"IP-077523","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":342962,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Madison River ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.5606689453125,\n 45.61115553441937\n ],\n [\n -111.60049438476561,\n 45.59482210127054\n ],\n [\n -111.61560058593749,\n 45.55733331588203\n ],\n [\n -111.63070678710938,\n 45.52559248776561\n ],\n [\n -111.6595458984375,\n 45.48035491818751\n ],\n [\n -111.676025390625,\n 45.46205707250824\n ],\n [\n -111.71035766601562,\n 45.454350939222046\n ],\n [\n -111.73782348632812,\n 45.42929873257377\n ],\n [\n -111.71722412109374,\n 45.40905613695408\n ],\n [\n -111.72821044921875,\n 45.38494834654319\n ],\n [\n -111.75704956054688,\n 45.35021505925909\n ],\n [\n -111.78863525390625,\n 45.30870012566985\n ],\n [\n -111.79000854492188,\n 45.269087780500726\n ],\n [\n -111.77352905273438,\n 45.233316306787266\n ],\n [\n -111.76666259765625,\n 45.19752230305682\n ],\n [\n -111.74606323242188,\n 45.15686396890044\n ],\n [\n -111.71310424804688,\n 45.13458638864562\n ],\n [\n -111.7034912109375,\n 45.114238385850854\n ],\n [\n -111.6925048828125,\n 45.07739974122637\n ],\n [\n -111.69937133789062,\n 45.059941562221226\n ],\n [\n -111.68975830078125,\n 45.05606124274415\n ],\n [\n -111.6485595703125,\n 45.05703134730012\n ],\n [\n -111.62246704101562,\n 45.06673148768116\n ],\n [\n -111.60873413085936,\n 45.06964120886863\n ],\n [\n -111.62109375,\n 45.11230010229608\n ],\n [\n -111.63345336914062,\n 45.14039877065943\n ],\n [\n -111.66366577148438,\n 45.17526062079539\n ],\n [\n -111.68975830078125,\n 45.20332826663052\n ],\n [\n -111.70486450195312,\n 45.230414929592946\n ],\n [\n -111.71310424804688,\n 45.25652199219273\n ],\n [\n -111.71035766601562,\n 45.28551576865198\n ],\n [\n -111.68701171875,\n 45.32028874948921\n ],\n [\n -111.6595458984375,\n 45.34924994127784\n ],\n [\n -111.63482666015625,\n 45.41291242895992\n ],\n [\n -111.63345336914062,\n 45.464946600971466\n ],\n [\n -111.62796020507812,\n 45.49190839157102\n ],\n [\n -111.59912109375,\n 45.51212126820532\n ],\n [\n -111.56204223632811,\n 45.545793269880924\n ],\n [\n -111.5606689453125,\n 45.61115553441937\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-12","publicationStatus":"PW","scienceBaseUri":"59536ea7e4b062508e3c7a6f","contributors":{"authors":[{"text":"Boyer, Jan K.","contributorId":193588,"corporation":false,"usgs":false,"family":"Boyer","given":"Jan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":700900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":700899,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Molly A. H.","contributorId":193590,"corporation":false,"usgs":false,"family":"Webb","given":"Molly A. H.","affiliations":[],"preferred":false,"id":700902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horton, Travis B.","contributorId":193589,"corporation":false,"usgs":false,"family":"Horton","given":"Travis","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":700901,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMahon, Thomas E.","contributorId":189425,"corporation":false,"usgs":false,"family":"McMahon","given":"Thomas E.","affiliations":[],"preferred":false,"id":700903,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70185257,"text":"70185257 - 2017 - Local geology controlled the feasibility of vitrifying Iron Age buildings","interactions":[],"lastModifiedDate":"2017-03-17T08:58:28","indexId":"70185257","displayToPublicDate":"2017-01-12T00:00:00","publicationYear":"2017","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":"Local geology controlled the feasibility of vitrifying Iron Age buildings","docAbstract":"During European prehistory, hilltop enclosures made from polydisperse particle-and-block stone walling were exposed to temperatures sufficient to partially melt the constituent stonework, leading to the preservation of glassy walls called ‘vitrified forts’. During vitrification, the granular wall rocks partially melt, sinter viscously and densify, reducing inter-particle porosity. This process is strongly dependent on the solidus temperature, the particle sizes, the temperature-dependence of the viscosity of the evolving liquid phase, as well as the distribution and longevity of heat. Examination of the sintering behaviour of 45 European examples reveals that it is the raw building material that governs the vitrification efficiency. As Iron Age forts were commonly constructed from local stone, we conclude that local geology directly influenced the degree to which buildings were vitrified in the Iron Age. Additionally, we find that vitrification is accompanied by a bulk material strengthening of the aggregates of small sizes, and a partial weakening of larger blocks. We discuss these findings in the context of the debate surrounding the motive of the wall-builders. We conclude that if wall stability by bulk strengthening was the desired effect, then vitrification represents an Iron Age technology that failed to be effective in regions of refractory local geology.","language":"English","publisher":"Springer Nature: Nature Publishing Group","doi":"10.1038/srep40028","usgsCitation":"Fabian B Wadsworth, Michael J Heap, Damby, D., Hess, K., Jens Najorka, Jérémie Vasseur, Fahrner, D., and Dingwell, D.B., 2017, Local geology controlled the feasibility of vitrifying Iron Age buildings: Scientific Reports, no. 7, p. 1-7, https://doi.org/10.1038/srep40028.","productDescription":"7 p. ","startPage":"1","endPage":"7","ipdsId":"IP-081792","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470139,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep40028","text":"Publisher Index Page"},{"id":337791,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-12","publicationStatus":"PW","scienceBaseUri":"58ccf59ce4b0849ce97f0cde","contributors":{"authors":[{"text":"Fabian B Wadsworth","contributorId":189460,"corporation":false,"usgs":false,"family":"Fabian B Wadsworth","affiliations":[],"preferred":false,"id":684901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Michael J Heap","contributorId":189461,"corporation":false,"usgs":false,"family":"Michael J Heap","affiliations":[],"preferred":false,"id":684903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Damby, David 0000-0002-3238-3961 ddamby@usgs.gov","orcid":"https://orcid.org/0000-0002-3238-3961","contributorId":177453,"corporation":false,"usgs":true,"family":"Damby","given":"David","email":"ddamby@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":684902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hess, Kai-Uwe","contributorId":189462,"corporation":false,"usgs":false,"family":"Hess","given":"Kai-Uwe","email":"","affiliations":[],"preferred":false,"id":684904,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jens Najorka","contributorId":189463,"corporation":false,"usgs":false,"family":"Jens Najorka","affiliations":[],"preferred":false,"id":684905,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jérémie Vasseur","contributorId":189464,"corporation":false,"usgs":false,"family":"Jérémie Vasseur","affiliations":[],"preferred":false,"id":684906,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fahrner, Dominik","contributorId":189465,"corporation":false,"usgs":false,"family":"Fahrner","given":"Dominik","email":"","affiliations":[],"preferred":false,"id":684907,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dingwell, Donald B","contributorId":189458,"corporation":false,"usgs":false,"family":"Dingwell","given":"Donald","email":"","middleInitial":"B","affiliations":[],"preferred":false,"id":684908,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70179847,"text":"70179847 - 2017 - Life history plasticity does not confer resilience to environmental change in the mole salamander (Ambystoma talpoideum)","interactions":[],"lastModifiedDate":"2017-03-14T09:22:18","indexId":"70179847","displayToPublicDate":"2017-01-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Life history plasticity does not confer resilience to environmental change in the mole salamander (Ambystoma talpoideum)","docAbstract":"Plasticity in life history strategies can be advantageous for species that occupy spatially or temporally variable environments. We examined how phenotypic plasticity influences responses of the mole salamander, Ambystoma talpoideum, to disturbance events at the St. Marks National Wildlife Refuge (SMNWR), FL, USA from 2009 to 2014. We observed periods of extensive drought early in the study, in contrast to high rainfall and expansive flooding events in later years. Flooding facilitated colonization of predatory fishes to isolated wetlands across the refuge. We employed multistate occupancy models to determine how this natural experiment influenced the occurrence of aquatic larvae and paedomorphic adults and what implications this may have for the population. We found that, in terms of occurrence, responses to environmental variation differed between larvae and paedomorphs, but plasticity (i.e. the ability to metamorphose rather than remain in aquatic environment) was not sufficient to buffer populations from declining as a result of environmental perturbations. Drought and fish presence negatively influenced occurrence dynamics of larval and paedomorphic mole salamanders and, consequently, contributed to observed short-term declines of this species. Overall occurrence of larval salamanders decreased from 0.611 in 2009 to 0.075 in 2014 and paedomorph occurrence decreased from 0.311 in 2009 to 0.121 in 2014. Although variation in selection pressures has likely maintained this polyphenism previously, our results suggest that continued changes in environmental variability and the persistence of fish in isolated wetlands could lead to a loss of paedomorphosis in the SMNWR population and, ultimately, impact regional persistence in the future.","language":"English","publisher":"Springer","doi":"10.1007/s00442-017-3810-y","collaboration":"Courtney L. Davis; David A.W. Miller; Susan C. Walls; William J. Barichivich; Jeffrey Riley; Mary E. Brown","usgsCitation":"Courtney L. Davis, David A.W. Miller, Walls, S.C., Barichivich, W.J., Riley, J.W., and Brown, M.E., 2017, Life history plasticity does not confer resilience to environmental change in the mole salamander (Ambystoma talpoideum): Oecologia, v. 183, p. 739-749, https://doi.org/10.1007/s00442-017-3810-y.","productDescription":"11 p. ","startPage":"739","endPage":"749","ipdsId":"IP-074456","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":333425,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"183","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-12","publicationStatus":"PW","scienceBaseUri":"5881ded3e4b01192927d9f77","contributors":{"authors":[{"text":"Courtney L. Davis","contributorId":178448,"corporation":false,"usgs":false,"family":"Courtney L. 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In addition to variable detection’s confounding long-term stream fish population trends, reliable abundance estimates across a wide range of survey conditions are fundamental to establishing species–environment relationships. Despite major advancements in accounting for variable detection when surveying animal populations, these approaches remain largely ignored by stream fish scientists, and CPUE remains the most common metric used by researchers and managers. One notable advancement for addressing the challenges of variable detection is the multinomial N-mixture model. Multinomial N-mixture models use a flexible hierarchical framework to model the detection process across sites as a function of covariates; they also accommodate common fisheries survey methods, such as removal and capture–recapture. Effective monitoring of stream-dwelling Smallmouth Bass Micropterus dolomieu populations has long been challenging; therefore, our objective was to examine the use of multinomial N-mixture models to improve the applicability of electrofishing for estimating absolute abundance. We sampled Smallmouth Bass populations by using tow-barge electrofishing across a range of environmental conditions in streams of the Ozark Highlands ecoregion. Using an information-theoretic approach, we identified effort, water clarity, wetted channel width, and water depth as covariates that were related to variable Smallmouth Bass electrofishing detection. Smallmouth Bass abundance estimates derived from our top model consistently agreed with baseline estimates obtained via snorkel surveys. Additionally, confidence intervals from the multinomial N-mixture models were consistently more precise than those of unbiased Petersen capture–recapture estimates due to the dependency among data sets in the hierarchical framework. We demonstrate the application of this contemporary population estimation method to address a longstanding stream fish management issue. We also detail the advantages and trade-offs of hierarchical population estimation methods relative to CPUE and estimation methods that model each site separately.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2016.1254127","usgsCitation":"Mollenhauer, R., and Brewer, S.K., 2017, Multinomial N-mixture models improve the applicability of electrofishing for developing population estimates of stream-dwelling Smallmouth Bass: North American Journal of Fisheries Management, v. 37, no. 1, p. 211-224, https://doi.org/10.1080/02755947.2016.1254127.","productDescription":"14 p.","startPage":"211","endPage":"224","ipdsId":"IP-073138","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":342254,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri, Oklahoma","otherGeospatial":"Ozark Highlands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.28167724609375,\n 35.380092992092145\n ],\n [\n -94.46868896484375,\n 35.36217605914681\n ],\n [\n -93.64471435546875,\n 35.3509759564216\n ],\n [\n -93.6749267578125,\n 37.13623498442895\n ],\n [\n -95.2789306640625,\n 37.13623498442895\n ],\n [\n -95.28167724609375,\n 35.380092992092145\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-12","publicationStatus":"PW","scienceBaseUri":"593910ade4b0764e6c5e885c","contributors":{"authors":[{"text":"Mollenhauer, Robert","contributorId":176540,"corporation":false,"usgs":false,"family":"Mollenhauer","given":"Robert","affiliations":[],"preferred":false,"id":697505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":697455,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}