By various measures (drought area and intensity, climatic aridity index, and climatic water deficits), some observational analyses have suggested that much of the Earth’s land has been drying during recent decades, but such drying seems inconsistent with observations of dryland greening and decreasing pan evaporation. ‘Offline’ analyses of climate-model outputs from anthropogenic climate change (ACC) experiments portend continuation of putative drying through the twenty-first century, despite an expected increase in global land precipitation. A ubiquitous increase in estimates of potential evapotranspiration (PET), driven by atmospheric warming, underlies the drying trends, but may be a methodological artefact. Here we show that the PET estimator commonly used (the Penman–Monteith PET for either an open-water surface or a reference crop) severely overpredicts the changes in non-water-stressed evapotranspiration computed in the climate models themselves in ACC experiments. This overprediction is partially due to neglect of stomatal conductance reductions commonly induced by increasing atmospheric CO2 concentrations in climate models. Our findings imply that historical and future tendencies towards continental drying, as characterized by offline-computed runoff, as well as other PET-dependent metrics, may be considerably weaker and less extensive than previously thought.
","language":"English","publisher":"Nature","doi":"10.1038/nclimate3046","usgsCitation":"Milly, P., and Dunne, K.A., 2016, Potential evapotranspiration and continental drying: Nature Climate Change, v. 6, p. 946-949, https://doi.org/10.1038/nclimate3046.","productDescription":"4 p.","startPage":"946","endPage":"949","ipdsId":"IP-072538","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":337494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-06","publicationStatus":"PW","scienceBaseUri":"58c90127e4b0849ce97abce9","contributors":{"authors":[{"text":"Milly, Paul C.D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":2119,"corporation":false,"usgs":true,"family":"Milly","given":"Paul C.D.","email":"cmilly@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":684027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunne, Krista A. kadunne@usgs.gov","contributorId":3936,"corporation":false,"usgs":true,"family":"Dunne","given":"Krista","email":"kadunne@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":684028,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70174605,"text":"70174605 - 2016 - Accretionary lapilli: what’s holding them together?","interactions":[],"lastModifiedDate":"2019-06-13T10:26:14","indexId":"70174605","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Accretionary lapilli: what’s holding them together?","docAbstract":"Accretionary lapilli from Tagus cone, Isla Isabela, Galápagos were analyzed using scanning electron microscope (SEM) and energy-dispersive X-ray spectroscopy (EDS) techniques. Our main findings are (1) the lapilli formed and hardened in a few minutes while still aloft in the dispersing eruption column. (2) Palagonite rinds developed first on the basaltic glass clasts, and subsequently crystallized (3) The crystallization products contain submicron lamellar crystals of a clay (probably smectite) on the surfaces of basaltic glass clasts and (4) The interlocking of these lamellar clays from adjacent clasts binds and cements them together to form the accretionary lapillus. We argue that palagonite and possibly clay formation occur primarily in the presence of hot water vapor.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Going LOCO: Investigations along the Lower Colorado River: 2016 Desert Symposium Field Guide and Proceedings","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceDate":"April 2016","language":"English","publisher":"California State University Desert Studies Center","usgsCitation":"Adams, P.M., Lynch, D.K., and Buesch, D.C., 2016, Accretionary lapilli: what’s holding them together?, in Going LOCO: Investigations along the Lower Colorado River: 2016 Desert Symposium Field Guide and Proceedings, April 2016, p. 256-265.","productDescription":"10 p.","startPage":"256","endPage":"265","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072848","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":325226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325208,"type":{"id":15,"text":"Index Page"},"url":"https://www.desertsymposium.org/About.html"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5787662ce4b0d27deb36e173","contributors":{"authors":[{"text":"Adams, Paul M.","contributorId":172886,"corporation":false,"usgs":false,"family":"Adams","given":"Paul","email":"","middleInitial":"M.","affiliations":[{"id":27112,"text":"Thule Scientific, P.O. Box 953, Topanga, CA 90290 USA","active":true,"usgs":false}],"preferred":false,"id":642414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, David K.","contributorId":88600,"corporation":false,"usgs":true,"family":"Lynch","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":642415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buesch, David C. 0000-0002-4978-5027 dbuesch@usgs.gov","orcid":"https://orcid.org/0000-0002-4978-5027","contributorId":1154,"corporation":false,"usgs":true,"family":"Buesch","given":"David","email":"dbuesch@usgs.gov","middleInitial":"C.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":642413,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70179082,"text":"70179082 - 2016 - Factors that affect parasitism of black-tailed prairie dogs by fleas","interactions":[],"lastModifiedDate":"2016-12-15T14:57:45","indexId":"70179082","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Factors that affect parasitism of black-tailed prairie dogs by fleas","docAbstract":"Fleas (Insecta: Siphonaptera) are hematophagous ectoparasites that feed on vertebrate hosts. Fleas can reduce the fitness of hosts by interfering with immune responses, disrupting adaptive behaviors, and transmitting pathogens. The negative effects of fleas on hosts are usually most pronounced when fleas attain high densities. In lab studies, fleas desiccate and die under dry conditions, suggesting that populations of fleas will tend to decline when precipitation is scarce under natural conditions. To test this hypothesis, we compared precipitation vs. parasitism of black-tailed prairie dogs (Cynomys ludovicianus) by fleas at a single colony during May and June of 13 consecutive years (1976–1988) at Wind Cave National Park, South Dakota, USA. The number of fleas on prairie dogs decreased with increasing precipitation during both the prior growing season (April through August of the prior year) and the just-completed winter–spring (January through April of current year). Due to the reduction in available moisture and palatable forage in dry years, herbivorous prairie dogs might have been food-limited, with weakened behavioral and immunological defenses against fleas. In support of this hypothesis, adult prairie dogs of low mass harbored more fleas than heavier adults. Our results have implications for the spread of plague, an introduced bacterial disease, transmitted by fleas, that devastates prairie dog colonies and, in doing so, can transform grassland ecosystems.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1372","usgsCitation":"Eads, D.A., and Hoogland, J., 2016, Factors that affect parasitism of black-tailed prairie dogs by fleas: Ecosphere, v. 7, no. 7, p. 1-12, https://doi.org/10.1002/ecs2.1372.","productDescription":"e01372; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-073156","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470793,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1372","text":"Publisher Index Page"},{"id":332182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-15","publicationStatus":"PW","scienceBaseUri":"5853ba41e4b0e2663625f2bc","chorus":{"doi":"10.1002/ecs2.1372","url":"http://dx.doi.org/10.1002/ecs2.1372","publisher":"Wiley-Blackwell","authors":"Eads David A., Hoogland John L.","journalName":"Ecosphere","publicationDate":"7/2016","auditedOn":"11/10/2016"},"contributors":{"authors":[{"text":"Eads, David A. 0000-0002-4247-017X deads@usgs.gov","orcid":"https://orcid.org/0000-0002-4247-017X","contributorId":173639,"corporation":false,"usgs":true,"family":"Eads","given":"David","email":"deads@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":655966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoogland, John L.","contributorId":113228,"corporation":false,"usgs":true,"family":"Hoogland","given":"John L.","affiliations":[],"preferred":false,"id":655967,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70176954,"text":"70176954 - 2016 - Decision-making for foot-and-mouth disease control: Objectives matter","interactions":[],"lastModifiedDate":"2017-04-27T10:24:31","indexId":"70176954","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5213,"text":"Epidemics","active":true,"publicationSubtype":{"id":10}},"title":"Decision-making for foot-and-mouth disease control: Objectives matter","docAbstract":"Formal decision-analytic methods can be used to frame disease control problems, the first step of which is to define a clear and specific objective. We demonstrate the imperative of framing clearly-defined management objectives in finding optimal control actions for control of disease outbreaks. We illustrate an analysis that can be applied rapidly at the start of an outbreak when there are multiple stakeholders involved with potentially multiple objectives, and when there are also multiple disease models upon which to compare control actions. The output of our analysis frames subsequent discourse between policy-makers, modellers and other stakeholders, by highlighting areas of discord among different management objectives and also among different models used in the analysis. We illustrate this approach in the context of a hypothetical foot-and-mouth disease (FMD) outbreak in Cumbria, UK using outputs from five rigorously-studied simulation models of FMD spread. We present both relative rankings and relative performance of controls within each model and across a range of objectives. Results illustrate how control actions change across both the base metric used to measure management success and across the statistic used to rank control actions according to said metric. This work represents a first step towards reconciling the extensive modelling work on disease control problems with frameworks for structured decision making.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epidem.2015.11.002","usgsCitation":"Probert, W., Shea, K., Fonnesbeck, C.J., Runge, M.C., Carpenter, T.E., Durr, S., Garner, M., Harvey, N., Stevenson, M.A., Webb, C.T., Werkman, M., Tildesley, M., and Ferrari, M., 2016, Decision-making for foot-and-mouth disease control: Objectives matter: Epidemics, v. 15, p. 10-19, https://doi.org/10.1016/j.epidem.2015.11.002.","productDescription":"10 p.","startPage":"10","endPage":"19","ipdsId":"IP-070103","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470780,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epidem.2015.11.002","text":"Publisher Index Page"},{"id":329545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58009d54e4b0824b2d183b87","contributors":{"authors":[{"text":"Probert, William J. M.","contributorId":44759,"corporation":false,"usgs":false,"family":"Probert","given":"William J. M.","affiliations":[],"preferred":false,"id":650852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shea, Katriona","contributorId":8783,"corporation":false,"usgs":true,"family":"Shea","given":"Katriona","affiliations":[],"preferred":false,"id":650853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fonnesbeck, Christopher J.","contributorId":83047,"corporation":false,"usgs":true,"family":"Fonnesbeck","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":650854,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":650855,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carpenter, Tim E.","contributorId":175354,"corporation":false,"usgs":false,"family":"Carpenter","given":"Tim","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":650856,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Durr, Salome","contributorId":175355,"corporation":false,"usgs":false,"family":"Durr","given":"Salome","email":"","affiliations":[],"preferred":false,"id":650857,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Garner, M. Graeme","contributorId":175356,"corporation":false,"usgs":false,"family":"Garner","given":"M. Graeme","affiliations":[],"preferred":false,"id":650858,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harvey, Neil","contributorId":175357,"corporation":false,"usgs":false,"family":"Harvey","given":"Neil","email":"","affiliations":[],"preferred":false,"id":650859,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stevenson, Mark A.","contributorId":175358,"corporation":false,"usgs":false,"family":"Stevenson","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":650860,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Webb, Colleen T.","contributorId":52471,"corporation":false,"usgs":true,"family":"Webb","given":"Colleen","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":650861,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Werkman, Marleen","contributorId":175359,"corporation":false,"usgs":false,"family":"Werkman","given":"Marleen","email":"","affiliations":[],"preferred":false,"id":650862,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tildesley, Michael J.","contributorId":100772,"corporation":false,"usgs":true,"family":"Tildesley","given":"Michael J.","affiliations":[],"preferred":false,"id":650863,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ferrari, Matthew J.","contributorId":67082,"corporation":false,"usgs":true,"family":"Ferrari","given":"Matthew J.","affiliations":[],"preferred":false,"id":650864,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70178121,"text":"70178121 - 2016 - Community fisheries in eastern South Dakota: Angler demographics, use, and factors influencing satisfaction","interactions":[],"lastModifiedDate":"2016-11-03T11:28:03","indexId":"70178121","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Community fisheries in eastern South Dakota: Angler demographics, use, and factors influencing satisfaction","docAbstract":"We surveyed anglers on five community fishing lakes near Brookings, South Dakota to assess angler use and satisfaction. The community lakes attracted younger anglers when compared to statewide and national averages. Overall, satisfaction was generally high (74%) among anglers fishing community lakes. Logistic regression analysis showed that harvest rate, anglers targeting trout, familiarity with the lake, adults fishing with children, and fishing during open water periods were significantly related to angler satisfaction. Angler parties consisting of adults fishing with children were 1.7 times more likely to respond as “satisfied” compared with adults-only angler groups. Fishing opportunities provided by community lakes can enhance participation by younger anglers while simultaneously providing family-oriented recreation (i.e., adults fishing with children) that enhances trip satisfaction.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2016.1138346","usgsCitation":"Greiner, M.J., Lucchesi, D.O., Chipps, S.R., and Gigliotti, L.M., 2016, Community fisheries in eastern South Dakota: Angler demographics, use, and factors influencing satisfaction: Human Dimensions of Wildlife, v. 21, no. 3, p. 254-263, https://doi.org/10.1080/10871209.2016.1138346.","productDescription":"10 p.","startPage":"254","endPage":"263","ipdsId":"IP-069172","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":330689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-02","publicationStatus":"PW","scienceBaseUri":"581c4cc3e4b09688d6e90fb3","contributors":{"authors":[{"text":"Greiner, Michael J.","contributorId":176628,"corporation":false,"usgs":false,"family":"Greiner","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":652890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucchesi, David O.","contributorId":176629,"corporation":false,"usgs":false,"family":"Lucchesi","given":"David","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":652891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":652892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gigliotti, Larry M. 0000-0002-1693-5113 lgigliotti@usgs.gov","orcid":"https://orcid.org/0000-0002-1693-5113","contributorId":3906,"corporation":false,"usgs":true,"family":"Gigliotti","given":"Larry","email":"lgigliotti@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":652864,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70179078,"text":"70179078 - 2016 - Contrasts between channels and backwaters in a large, floodplain river: Testing our understanding of nutrient cycling, phytoplankton abundance, and suspended solids dynamics","interactions":[],"lastModifiedDate":"2016-12-15T15:24:40","indexId":"70179078","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Contrasts between channels and backwaters in a large, floodplain river: Testing our understanding of nutrient cycling, phytoplankton abundance, and suspended solids dynamics","docAbstract":"In floodplain rivers, variability in hydraulic connectivity interacts with biogeochemistry to determine the distribution of suspended and dissolved substances. Nutrient, chlorophyll a, and suspended solids data spanning longitudinal (5 study reaches across 1300 river km), lateral (main channel and backwaters), and temporal (1994–2011) gradients in the Upper Mississippi River (UMR) were used to examine the extent to which observed differences between the main channel and backwaters were consistent with expectations based on current understanding of biogeochemical processes in large rivers. For N and P, the results largely conformed to expectations. N concentrations were greater in the main channel than in the backwaters in 82 to 96% of the observations across river reaches. Maximum TP concentrations generally occurred in backwaters during summer, when backwater TP often exceeded that of the main channel. Flux of P from sediments may be a substantial source of water-column P in UMR backwaters in summer. The data for suspended solids and chlorophyll a suggest that some refinements are needed of our understanding of ecosystem processes in large rivers. During low-discharge conditions, concentrations of inorganic suspended solids often were greater in backwaters than in the main channel, suggesting the importance of sediment resuspension. Chlorophyll a concentrations were usually greater in backwaters than in the main channel, but exceptions indicate that phytoplankton abundance in the main channel of the UMR can sometimes be greater than is typically expected for large rivers.
","language":"English","publisher":"University of Chicago Press","doi":"10.1086/686171","usgsCitation":"Houser, J.N., 2016, Contrasts between channels and backwaters in a large, floodplain river: Testing our understanding of nutrient cycling, phytoplankton abundance, and suspended solids dynamics: Freshwater Science, v. 35, no. 2, p. 457-473, https://doi.org/10.1086/686171.","productDescription":"17 p.","startPage":"457","endPage":"473","ipdsId":"IP-066890","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":332189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5853ba41e4b0e2663625f2be","contributors":{"authors":[{"text":"Houser, Jeffrey N. 0000-0003-3295-3132 jhouser@usgs.gov","orcid":"https://orcid.org/0000-0003-3295-3132","contributorId":2769,"corporation":false,"usgs":true,"family":"Houser","given":"Jeffrey","email":"jhouser@usgs.gov","middleInitial":"N.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655949,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70155241,"text":"70155241 - 2016 - Spawning site fidelity of wild and hatchery lake trout (Salvelinus namaycush) in northern Lake Huron","interactions":[],"lastModifiedDate":"2016-07-01T09:59:33","indexId":"70155241","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Spawning site fidelity of wild and hatchery lake trout (Salvelinus namaycush) in northern Lake Huron","docAbstract":"Fidelity to high-quality spawning sites helps ensure that adults repeatedly spawn at sites that maximize reproductive success. Fidelity is also an important behavioural characteristic to consider when hatchery-reared individuals are stocked for species restoration, because artificial rearing environments may interfere with cues that guide appropriate spawning site selection. Acoustic telemetry was used in conjunction with Cormack–Jolly–Seber capture–recapture models to compare degree of spawning site fidelity of wild and hatchery-reared lake trout (Salvelinus namaycush) in northern Lake Huron. Annual survival was estimated to be between 77% and 81% and did not differ among wild and hatchery males and females. Site fidelity estimates were high in both wild and hatchery-reared lake trout (ranging from 0.78 to 0.94, depending on group and time filter), but were slightly lower in hatchery-reared fish than in wild fish. The ecological implication of the small difference in site fidelity between wild and hatchery-reared lake trout is unclear, but similarities in estimates suggest that many hatchery-reared fish use similar spawning sites to wild fish and that most return to those sites annually for spawning.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2015-0175","usgsCitation":"Binder, T., Riley, S.C., Holbrook, C., Hansen, M.J., Bergstedt, R.A., Bronte, C.R., He, J., and Krueger, C., 2016, Spawning site fidelity of wild and hatchery lake trout (Salvelinus namaycush) in northern Lake Huron: Canadian Journal of Fisheries and Aquatic Sciences, v. 73, no. 1, p. 18-34, https://doi.org/10.1139/cjfas-2015-0175.","productDescription":"17 p.","startPage":"18","endPage":"34","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064734","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":324708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57778629e4b07dd077c878f3","contributors":{"authors":[{"text":"Binder, Thomas 0000-0001-9266-9120 tbinder@usgs.gov","orcid":"https://orcid.org/0000-0001-9266-9120","contributorId":4958,"corporation":false,"usgs":true,"family":"Binder","given":"Thomas","email":"tbinder@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":565258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riley, Stephen C. 0000-0002-8968-8416 sriley@usgs.gov","orcid":"https://orcid.org/0000-0002-8968-8416","contributorId":2661,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen","email":"sriley@usgs.gov","middleInitial":"C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":565259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":565260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":565261,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bergstedt, Roger A. rbergstedt@usgs.gov","contributorId":4174,"corporation":false,"usgs":true,"family":"Bergstedt","given":"Roger","email":"rbergstedt@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":565262,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bronte, Charles R.","contributorId":83050,"corporation":false,"usgs":true,"family":"Bronte","given":"Charles","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":565263,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"He, Ji","contributorId":172649,"corporation":false,"usgs":false,"family":"He","given":"Ji","affiliations":[],"preferred":false,"id":565264,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Krueger, Charles C.","contributorId":67821,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles C.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":565265,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70192637,"text":"70192637 - 2016 - Reproduction in moose at their southern range limit","interactions":[],"lastModifiedDate":"2017-11-10T10:40:54","indexId":"70192637","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Reproduction in moose at their southern range limit","docAbstract":"Reproduction is a critical fitness component in large herbivores. Biogeographic models predict that populations occurring at the edges of the range may have compromised reproductive rates because of inferior habitat at range peripheries. When reproductive rates are chronically low, ungulate populations may lack the resiliency to rebound quickly after periods of environmental stress, and this effect may be greatest for heat-sensitive organisms at their southern range limit. To assess the demographic vulnerability of moose ( Alces alces ), we studied relationships between reproductive rates, maternal age, and rump fat in the southernmost naturally occurring moose population in North America. For prime-aged moose in our study, pregnancy rates were high (92%), but moose aged < 3 or > 9 years had low pregnancy rates (32% and 38%, respectively). The relationship between rump fat and pregnancy was nonlinear such that a threshold of at least 2mm of rump fat yielded a high probability of being pregnant midwinter. In contrast, among pregnant moose, the probability of both producing a calf and recruiting it until spring increased linearly with rump fat. We also conducted a meta-analysis of pregnancy and twinning rates for adult (≥ 2 years) moose across a latitudinal gradient to compare reproductive rates from our study to other populations in North America. Moose living at southern latitudes tended to have lower reproductive rates than those living in the core of moose range, implying that southern moose populations may be demographically more vulnerable than northern moose populations.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyw099","usgsCitation":"Ruprecht, J.S., Hersey, K., Hafen, K., Monteith, K.L., DeCesare, N.J., Kauffman, M., and MacNulty, D.R., 2016, Reproduction in moose at their southern range limit: Journal of Mammalogy, v. 97, no. 5, p. 1355-1365, https://doi.org/10.1093/jmammal/gyw099.","productDescription":"11 p.","startPage":"1355","endPage":"1365","ipdsId":"IP-068645","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348556,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Uinta Mountions, Wasatch Mountains","volume":"97","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-14","publicationStatus":"PW","scienceBaseUri":"5a06c8d3e4b09af898c86158","contributors":{"authors":[{"text":"Ruprecht, Joel S.","contributorId":200236,"corporation":false,"usgs":false,"family":"Ruprecht","given":"Joel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":721537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hersey, Kent","contributorId":99873,"corporation":false,"usgs":false,"family":"Hersey","given":"Kent","affiliations":[{"id":6763,"text":"Utah Division of Wildlife Resources, Salt Lake City, Utah","active":true,"usgs":false}],"preferred":false,"id":721538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hafen, Konrad","contributorId":172290,"corporation":false,"usgs":false,"family":"Hafen","given":"Konrad","affiliations":[],"preferred":false,"id":721539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monteith, Kevin L.","contributorId":198656,"corporation":false,"usgs":false,"family":"Monteith","given":"Kevin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721540,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeCesare, Nicholas J.","contributorId":200237,"corporation":false,"usgs":false,"family":"DeCesare","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721541,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900 mkauffman@usgs.gov","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":189179,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew J.","email":"mkauffman@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":false,"id":716616,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"MacNulty, Daniel R.","contributorId":64069,"corporation":false,"usgs":true,"family":"MacNulty","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":721542,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192638,"text":"70192638 - 2016 - Large herbivores surf waves of green-up during spring","interactions":[],"lastModifiedDate":"2017-11-10T09:51:50","indexId":"70192638","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Large herbivores surf waves of green-up during spring","docAbstract":"The green wave hypothesis (GWH) states that migrating animals should track or ‘surf’ high-quality forage at the leading edge of spring green-up. To index such high-quality forage, recent work proposed the instantaneous rate of green-up (IRG), i.e. rate of change in the normalized difference vegetation index over time. Despite this important advancement, no study has tested the assumption that herbivores select habitat patches at peak IRG. We evaluated this assumption using step selection functions parametrized with movement data during the green-up period from two populations each of bighorn sheep, mule deer, elk, moose and bison, totalling 463 individuals monitored 1–3 years from 2004 to 2014. Accounting for variables that typically influence habitat selection for each species, we found seven of 10 populations selected patches exhibiting high IRG—supporting the GWH. Nonetheless, large herbivores selected for the leading edge, trailing edge and crest of the IRG wave, indicating that other mechanisms (e.g. ruminant physiology) or measurement error inherent with satellite data affect selection for IRG. Our evaluation indicates that IRG is a useful tool for linking herbivore movement with plant phenology, paving the way for significant advancements in understanding how animals track resource quality that varies both spatially and temporally.
","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rspb.2016.0456","usgsCitation":"Merkle, J., Monteith, K.L., Aikens, E.O., Hayes, M.M., Hersey, K., Middleton, A., Oates, B., Sawyer, H., Scurlock, B., and Kauffman, M., 2016, Large herbivores surf waves of green-up during spring: Proceedings of the Royal Society B: Biological Sciences, v. 283, no. 1833, p. 1-8, https://doi.org/10.1098/rspb.2016.0456.","productDescription":"Article 20160456; 8 p.","startPage":"1","endPage":"8","ipdsId":"IP-073825","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470797,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2016.0456","text":"Publisher Index Page"},{"id":348554,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"283","issue":"1833","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-29","publicationStatus":"PW","scienceBaseUri":"5a06c8d2e4b09af898c86154","contributors":{"authors":[{"text":"Merkle, Jerod","contributorId":172972,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod","affiliations":[{"id":35288,"text":"Wyoming Cooperative Fish and Wildlife Research Unit, University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":721528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monteith, Kevin L.","contributorId":198656,"corporation":false,"usgs":false,"family":"Monteith","given":"Kevin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aikens, Ellen O.","contributorId":198653,"corporation":false,"usgs":false,"family":"Aikens","given":"Ellen","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":721530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, Matthew M.","contributorId":172344,"corporation":false,"usgs":false,"family":"Hayes","given":"Matthew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721531,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hersey, Kent","contributorId":99873,"corporation":false,"usgs":false,"family":"Hersey","given":"Kent","affiliations":[{"id":6763,"text":"Utah Division of Wildlife Resources, Salt Lake City, Utah","active":true,"usgs":false}],"preferred":false,"id":721532,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Middleton, Arthur D.","contributorId":99440,"corporation":false,"usgs":true,"family":"Middleton","given":"Arthur D.","affiliations":[],"preferred":false,"id":721533,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Oates, Brendan","contributorId":200235,"corporation":false,"usgs":false,"family":"Oates","given":"Brendan","affiliations":[],"preferred":false,"id":721534,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sawyer, Hall","contributorId":39930,"corporation":false,"usgs":false,"family":"Sawyer","given":"Hall","affiliations":[],"preferred":false,"id":721535,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Scurlock, Brandon","contributorId":145744,"corporation":false,"usgs":false,"family":"Scurlock","given":"Brandon","email":"","affiliations":[{"id":16219,"text":"Wyoming Game and Fish Department, PO Box 850, Pinedale, Wyoming","active":true,"usgs":false}],"preferred":false,"id":721536,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900 mkauffman@usgs.gov","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":189179,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew J.","email":"mkauffman@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":false,"id":716617,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70193718,"text":"70193718 - 2016 - A large refined catalog of earthquake relocations and focal mechanisms for the Island of Hawai'i and its seismotectonic implications","interactions":[],"lastModifiedDate":"2017-11-03T18:41:11","indexId":"70193718","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"A large refined catalog of earthquake relocations and focal mechanisms for the Island of Hawai'i and its seismotectonic implications","docAbstract":"We present high-quality focal mechanisms based on a refined earthquake location catalog for the Island of Hawai'i, focusing on Mauna Loa and Kīlauea volcanoes. The relocation catalog is based on first-arrival times and waveform data of both compressional and shear waves for about 180,000 events on and near the Island of Hawai'i between 1986 and 2009 recorded by the seismic stations at the Hawaiian Volcano Observatory. We relocate all the earthquakes by applying ray tracing through an existing three-dimensional velocity model, similar event cluster analysis, and a differential-time relocation method. The resulting location catalog represents an expansion of previous relocation studies, covering a longer time period and consisting of more events with well-constrained absolute locations. The focal mechanisms are obtained based on the compressional-wave first-motion polarities and compressional-to-shear wave amplitude ratios by applying the HASH program to the waveform cross correlation relocated earthquakes. Overall, the good-quality (defined by the HASH parameters) focal solutions are dominated by normal faulting in our study area, especially in the active Ka'ōiki and Hīlea seismic zones. Kīlauea caldera is characterized by a mixture of approximately equal numbers of normal, strike-slip, and reverse faults, whereas its south flank has slightly fewer strike-slip events. Our relocation and focal mechanism results will be useful for mapping the seismic stress and strain fields and for understanding the seismic-volcanic-tectonic relationships within the magmatic systems.
","language":"English","publisher":"AGU","doi":"10.1002/2016JB013042","usgsCitation":"Lin, G., and Okubo, P.G., 2016, A large refined catalog of earthquake relocations and focal mechanisms for the Island of Hawai'i and its seismotectonic implications: Journal of Geophysical Research, v. 121, no. 7, p. 5031-5048, https://doi.org/10.1002/2016JB013042.","productDescription":"18 p.","startPage":"5031","endPage":"5048","ipdsId":"IP-076229","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470801,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jb013042","text":"Publisher Index Page"},{"id":348180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Island of Hawai'i","volume":"121","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-09","publicationStatus":"PW","scienceBaseUri":"59fd802ae4b0531197b50148","contributors":{"authors":[{"text":"Lin, Guoqing","contributorId":168856,"corporation":false,"usgs":false,"family":"Lin","given":"Guoqing","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":720042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Okubo, Paul G. 0000-0002-0381-6051 pokubo@usgs.gov","orcid":"https://orcid.org/0000-0002-0381-6051","contributorId":2730,"corporation":false,"usgs":true,"family":"Okubo","given":"Paul","email":"pokubo@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":720041,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70184330,"text":"70184330 - 2016 - Predicting arsenic in drinking water wells of the Central Valley, California","interactions":[],"lastModifiedDate":"2018-09-12T16:43:45","indexId":"70184330","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Predicting arsenic in drinking water wells of the Central Valley, California","docAbstract":"Probabilities of arsenic in groundwater at depths used for domestic and public supply in the Central Valley of California are predicted using weak-learner ensemble models (boosted regression trees, BRT) and more traditional linear models (logistic regression, LR). Both methods captured major processes that affect arsenic concentrations, such as the chemical evolution of groundwater, redox differences, and the influence of aquifer geochemistry. Inferred flow-path length was the most important variable but near-surface-aquifer geochemical data also were significant. A unique feature of this study was that previously predicted nitrate concentrations in three dimensions were themselves predictive of arsenic and indicated an important redox effect at >10 μg/L, indicating low arsenic where nitrate was high. Additionally, a variable representing three-dimensional aquifer texture from the Central Valley Hydrologic Model was an important predictor, indicating high arsenic associated with fine-grained aquifer sediment. BRT outperformed LR at the 5 μg/L threshold in all five predictive performance measures and at 10 μg/L in four out of five measures. BRT yielded higher prediction sensitivity (39%) than LR (18%) at the 10 μg/L threshold–a useful outcome because a major objective of the modeling was to improve our ability to predict high arsenic areas.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.6b01914","usgsCitation":"Ayotte, J.D., Nolan, B.T., and Gronberg, J.M., 2016, Predicting arsenic in drinking water wells of the Central Valley, California: Environmental Science & Technology, v. 50, no. 14, p. 7555-7563, https://doi.org/10.1021/acs.est.6b01914.","productDescription":"9 p.","startPage":"7555","endPage":"7563","ipdsId":"IP-074943","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":336970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","volume":"50","issue":"14","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-11","publicationStatus":"PW","scienceBaseUri":"58bfd4f6e4b014cc3a3ba4c8","contributors":{"authors":[{"text":"Ayotte, Joseph D. 0000-0002-1892-2738 jayotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1892-2738","contributorId":149619,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph","email":"jayotte@usgs.gov","middleInitial":"D.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":681021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nolan, Bernard T. 0000-0002-6945-9659 btnolan@usgs.gov","orcid":"https://orcid.org/0000-0002-6945-9659","contributorId":2190,"corporation":false,"usgs":true,"family":"Nolan","given":"Bernard","email":"btnolan@usgs.gov","middleInitial":"T.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":681022,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gronberg, JoAnn M. 0000-0003-4822-7434 jmgronbe@usgs.gov","orcid":"https://orcid.org/0000-0003-4822-7434","contributorId":3548,"corporation":false,"usgs":true,"family":"Gronberg","given":"JoAnn","email":"jmgronbe@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":681023,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70185569,"text":"70185569 - 2016 - Zirconium in 2015","interactions":[],"lastModifiedDate":"2017-03-24T10:48:14","indexId":"70185569","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Zirconium in 2015","docAbstract":"No abstract available.
","language":"English","publisher":"Mining Engineering","usgsCitation":"Bedinger, G.M., 2016, Zirconium in 2015: Mining Engineering, v. 68, no. 7, p. 30-30.","productDescription":"1 p.","startPage":"30","endPage":"30","ipdsId":"IP-075019","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":338277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":338239,"type":{"id":15,"text":"Index Page"},"url":"https://me.smenet.org/abstract.cfm?preview=1&articleID=6675&page=30"}],"volume":"68","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58d63038e4b05ec7991310e5","contributors":{"authors":[{"text":"Bedinger, George M. gbedinger@usgs.gov","contributorId":4567,"corporation":false,"usgs":true,"family":"Bedinger","given":"George","email":"gbedinger@usgs.gov","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":685989,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70184978,"text":"70184978 - 2016 - Contemporary deformation in the Yakima fold and thrust belt estimated with GPS","interactions":[],"lastModifiedDate":"2017-03-14T16:01:22","indexId":"70184978","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Contemporary deformation in the Yakima fold and thrust belt estimated with GPS","docAbstract":"Geodetic, geologic and palaeomagnetic data reveal that Oregon (western USA) rotates clockwise at 0.3 to 1.0° Ma−1 (relative to North America) about an axis near the Idaho–Oregon–Washington border, while northeast Washington is relatively fixed. This rotation has been going on for at least 15 Ma. The Yakima fold and thrust belt (YFTB) forms the boundary between northern Oregon and central Washington where convergence of the clockwise-rotating Oregon block is apparently accommodated. North–south shortening across the YFTB has been thought to occur in a fan-like manner, increasing in rate to the west. We obtained high-accuracy, high-density geodetic GPS measurements in 2012–2014 that are used with earlier GPS measurements from the 1990s to characterize YFTB kinematics. The new results show that the deformation associated with the YFTB starts at the Blue Mountains Anticline in northern Oregon and extends north beyond the Frenchman Hills in Washington, past the epicentre of the 1872 Mw 7.0 Entiat earthquake to 49°N. The north–south strain rate across the region is 2 to 3 × 10−9 yr−1 between the volcanic arc and the eastern edge of the YFTB (241.0°E); east of there it drops to about 10−9 yr−1. At the eastern boundary of the YFTB, faults and earthquake activity are truncated by a north-trending, narrow zone of deformation that runs along the Pasco Basin and Moses Lake regions near 240.9°E. This zone, abutting the Department of Energy Hanford Nuclear Reservation, accommodates about 0.5 mm yr−1 of east to northeast shortening. A similar zone of N-trending transpression is seen along 239.9°E where there is a change in the strike of the Yakima folds. The modern deformation of the YFTB is about 600 km wide from south to north and internally may be controlled by pre-existing crustal structure.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/gji/ggw252","usgsCitation":"McCaffrey, R., King, R.W., Wells, R.E., Lancaster, M., and Miller, M.M., 2016, Contemporary deformation in the Yakima fold and thrust belt estimated with GPS: Geophysical Journal International, v. 207, no. 1, p. 1-11, https://doi.org/10.1093/gji/ggw252.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-073652","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":470784,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggw252","text":"Publisher Index Page"},{"id":337545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"207","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-11","publicationStatus":"PW","scienceBaseUri":"58c90127e4b0849ce97abced","contributors":{"authors":[{"text":"McCaffrey, Robert","contributorId":189078,"corporation":false,"usgs":false,"family":"McCaffrey","given":"Robert","email":"","affiliations":[],"preferred":false,"id":683802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Robert W.","contributorId":189079,"corporation":false,"usgs":false,"family":"King","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":683803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wells, Ray E. 0000-0002-7796-0160 rwells@usgs.gov","orcid":"https://orcid.org/0000-0002-7796-0160","contributorId":149772,"corporation":false,"usgs":true,"family":"Wells","given":"Ray","email":"rwells@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":683801,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lancaster, Matthew","contributorId":189080,"corporation":false,"usgs":false,"family":"Lancaster","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":683804,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, M. Meghan","contributorId":189081,"corporation":false,"usgs":false,"family":"Miller","given":"M.","email":"","middleInitial":"Meghan","affiliations":[],"preferred":false,"id":683805,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70187758,"text":"70187758 - 2016 - Preface: Impacts of extreme climate events and disturbances on carbon dynamics","interactions":[],"lastModifiedDate":"2017-05-17T10:54:46","indexId":"70187758","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Preface: Impacts of extreme climate events and disturbances on carbon dynamics","docAbstract":"The impacts of extreme climate events and disturbances (ECE&D) on the carbon cycle have received growing attention in recent years. This special issue showcases a collection of recent advances in understanding the impacts of ECE&D on carbon cycling. Notable advances include quantifying how harvesting activities impact forest structure, carbon pool dynamics, and recovery processes; observed drastic increases of the concentrations of dissolved organic carbon and dissolved methane in thermokarst lakes in western Siberia during a summer warming event; disentangling the roles of herbivores and fire on forest carbon dioxide flux; direct and indirect impacts of fire on the global carbon balance; and improved atmospheric inversion of regional carbon sources and sinks by incorporating disturbances. Combined, studies herein indicate several major research needs. First, disturbances and extreme events can interact with one another, and it is important to understand their overall impacts and also disentangle their effects on the carbon cycle. Second, current ecosystem models are not skillful enough to correctly simulate the underlying processes and impacts of ECE&D (e.g., tree mortality and carbon consequences). Third, benchmark data characterizing the timing, location, type, and magnitude of disturbances must be systematically created to improve our ability to quantify carbon dynamics over large areas. Finally, improving the representation of ECE&D in regional climate/earth system models and accounting for the resulting feedbacks to climate are essential for understanding the interactions between climate and ecosystem dynamics.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-13-3665-2016","usgsCitation":"Xiao, J., Liu, S., and Stoy, P., 2016, Preface: Impacts of extreme climate events and disturbances on carbon dynamics: Biogeosciences, v. 13, p. 3665-3675, https://doi.org/10.5194/bg-13-3665-2016.","productDescription":"11 p.","startPage":"3665","endPage":"3675","ipdsId":"IP-069417","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470800,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-13-3665-2016","text":"Publisher Index Page"},{"id":341425,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2016-06-22","publicationStatus":"PW","scienceBaseUri":"593e25bce4b0764e6c61b73b","contributors":{"authors":[{"text":"Xiao, Jingfeng","contributorId":66998,"corporation":false,"usgs":true,"family":"Xiao","given":"Jingfeng","email":"","affiliations":[],"preferred":false,"id":695505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":695506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoy, Paul C.","contributorId":60860,"corporation":false,"usgs":true,"family":"Stoy","given":"Paul C.","affiliations":[],"preferred":false,"id":695507,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70185026,"text":"70185026 - 2016 - Discovery of alunite in Cross crater, Terra Sirenum, Mars: Evidence for acidic, sulfurous waters","interactions":[],"lastModifiedDate":"2018-11-14T08:22:27","indexId":"70185026","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":" Discovery of alunite in Cross crater, Terra Sirenum, Mars: Evidence for acidic, sulfurous waters","docAbstract":"Cross crater is a 65 km impact crater, located in the Noachian highlands of the Terra Sirenum region of Mars (30°S, 158°W), which hosts aluminum phyllosilicate deposits first detected by the Observatoire pour la Minéralogie, L’Eau, les Glaces et l’Activitié (OMEGA) imaging spectrometer on Mars Express. Using high-resolution data from the Mars Reconnaissance Orbiter, we examine Cross crater’s basin-filling sedimentary deposits. Visible/shortwave infrared (VSWIR) spectra from the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) show absorptions diagnostic of alunite. Combining spectral data with high-resolution images, we map a large (10 km × 5 km) alunite-bearing deposit in southwest Cross crater, widespread kaolin-bearing sediments with variable amounts of alunite that are layered in <10 m scale beds, and silica- and/or montmorillonite-bearing deposits that occupy topographically lower, heavily fractured units. The secondary minerals are found at elevations ranging from 700 to 1550 m, forming a discontinuous ring along the crater wall beneath darker capping materials. The mineralogy inside Cross crater is different from that of the surrounding terrains and other martian basins, where Fe/Mg-phyllosilicates and Ca/Mg-sulfates are commonly found. Alunite in Cross crater indicates acidic, sulfurous waters at the time of its formation. Waters in Cross crater were likely supplied by regionally upwelling groundwaters as well as through an inlet valley from a small adjacent depression to the east, perhaps occasionally forming a lake or series of shallow playa lakes in the closed basin. Like nearby Columbus crater, Cross crater exhibits evidence for acid sulfate alteration, but the alteration in Cross is more extensive/complete. The large but localized occurrence of alunite suggests a localized, high-volume source of acidic waters or vapors, possibly supplied by sulfurous (H2S- and/or SO2-bearing) waters in contact with a magmatic source, upwelling steam or fluids through fracture zones. The unique, highly aluminous nature of the Cross crater deposits relative to other martian acid sulfate deposits indicates acid waters, high water throughput during alteration, atypically glassy and/or felsic materials, or a combination of these conditions.
","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/am-2016-5574","usgsCitation":"Ehlmann, B.L., Swayze, G.A., Milliken, R.E., Mustard, J.F., Clark, R.N., Murchie, S.L., Breit, G., Wray, J.J., Gondet, B., Poulet, F., Carter, J., Calvin, W.M., Benzel, W., and Seelos, K.D., 2016, Discovery of alunite in Cross crater, Terra Sirenum, Mars: Evidence for acidic, sulfurous waters: American Mineralogist, v. 101, no. 7, p. 1527-1542, https://doi.org/10.2138/am-2016-5574.","productDescription":"16 p.","startPage":"1527","endPage":"1542","ipdsId":"IP-069689","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":488402,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2138/am-2016-5574","text":"Publisher Index Page"},{"id":337510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-01","publicationStatus":"PW","scienceBaseUri":"58c90127e4b0849ce97abceb","contributors":{"authors":[{"text":"Ehlmann, Bethany L. 0000-0002-2745-3240","orcid":"https://orcid.org/0000-0002-2745-3240","contributorId":147154,"corporation":false,"usgs":false,"family":"Ehlmann","given":"Bethany","email":"","middleInitial":"L.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":683991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swayze, Gregg A. 0000-0002-1814-7823 gswayze@usgs.gov","orcid":"https://orcid.org/0000-0002-1814-7823","contributorId":518,"corporation":false,"usgs":true,"family":"Swayze","given":"Gregg","email":"gswayze@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":683990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Milliken, Ralph E.","contributorId":189151,"corporation":false,"usgs":false,"family":"Milliken","given":"Ralph","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":683992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mustard, John F.","contributorId":189152,"corporation":false,"usgs":false,"family":"Mustard","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":683994,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Roger N. 0000-0002-7021-1220","orcid":"https://orcid.org/0000-0002-7021-1220","contributorId":189154,"corporation":false,"usgs":true,"family":"Clark","given":"Roger","email":"","middleInitial":"N.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":683996,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murchie, Scott L. 0000-0002-1616-8751","orcid":"https://orcid.org/0000-0002-1616-8751","contributorId":189161,"corporation":false,"usgs":false,"family":"Murchie","given":"Scott","email":"","middleInitial":"L.","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":684004,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Breit, George N.","contributorId":189153,"corporation":false,"usgs":false,"family":"Breit","given":"George N.","affiliations":[],"preferred":false,"id":683995,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wray, James J.","contributorId":81736,"corporation":false,"usgs":false,"family":"Wray","given":"James","email":"","middleInitial":"J.","affiliations":[{"id":7032,"text":"School of Earth and Atmospheric Sciences, Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":683993,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gondet, Brigitte","contributorId":189155,"corporation":false,"usgs":false,"family":"Gondet","given":"Brigitte","email":"","affiliations":[],"preferred":false,"id":683997,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Poulet, Francois","contributorId":189156,"corporation":false,"usgs":false,"family":"Poulet","given":"Francois","email":"","affiliations":[],"preferred":false,"id":683998,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Carter, John","contributorId":189157,"corporation":false,"usgs":false,"family":"Carter","given":"John","email":"","affiliations":[],"preferred":false,"id":683999,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Calvin, Wendy M. 0000-0002-6097-9586","orcid":"https://orcid.org/0000-0002-6097-9586","contributorId":189159,"corporation":false,"usgs":false,"family":"Calvin","given":"Wendy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":684001,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Benzel, William 0000-0002-4085-1876 wbenzel@usgs.gov","orcid":"https://orcid.org/0000-0002-4085-1876","contributorId":3594,"corporation":false,"usgs":true,"family":"Benzel","given":"William","email":"wbenzel@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":684002,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Seelos, Kimberly D.","contributorId":189160,"corporation":false,"usgs":false,"family":"Seelos","given":"Kimberly","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":684003,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70186193,"text":"70186193 - 2016 - Hydrogeologic controls on groundwater discharge and nitrogen loads in a coastal watershed","interactions":[],"lastModifiedDate":"2017-03-31T10:50:47","indexId":"70186193","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeologic controls on groundwater discharge and nitrogen loads in a coastal watershed","docAbstract":"Submarine groundwater discharge (SGD) is a small portion of the global water budget, but a potentially large contributor to coastal nutrient budgets due to high concentrations relative to stream discharge. A numerical groundwater flow model of the Inland Bays Watershed, Delaware, USA, was developed to identify the primary hydrogeologic factors that affect groundwater discharge rates and transit times to streams and bays. The distribution of groundwater discharge between streams and bays is sensitive to the depth of the water table below land surface. Higher recharge and reduced hydraulic conductivity raised the water table and increased discharge to streams relative to bays compared to the Reference case (in which 66% of recharge is discharged to streams). Increases to either factor decreased transit times for discharge to both streams and bays compared to the Reference case (in which mean transit times are 56.5 and 94.3 years, respectively), though sensitivity to recharge is greater. Groundwater-borne nitrogen loads were calculated from nitrogen concentrations measured in discharging fresh groundwater and modeled SGD rates. These loads combined with long SGD transit times suggest groundwater-borne nitrogen reductions and estuarine water quality improvements will lag decades behind implementation of efforts to manage nutrient sources. This work enhances understanding of the hydrogeologic controls on and uncertainties in absolute and relative rates and transit times of groundwater discharge to streams and bays in coastal watersheds.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2016.05.013","usgsCitation":"Russoniello, C.J., Konikow, L.F., Kroeger, K.D., Fernandez, C., Andres, A., and Michael, H.A., 2016, Hydrogeologic controls on groundwater discharge and nitrogen loads in a coastal watershed: Journal of Hydrology, v. 538, p. 783-793, https://doi.org/10.1016/j.jhydrol.2016.05.013.","productDescription":"11 p.","startPage":"783","endPage":"793","ipdsId":"IP-071064","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470791,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/8150","text":"External Repository"},{"id":338942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"538","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58df6ac0e4b02ff32c6aea2f","contributors":{"authors":[{"text":"Russoniello, Chrtopher J.","contributorId":190221,"corporation":false,"usgs":false,"family":"Russoniello","given":"Chrtopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":687831,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":687830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":687832,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fernandez, Cristina","contributorId":190222,"corporation":false,"usgs":false,"family":"Fernandez","given":"Cristina","email":"","affiliations":[],"preferred":false,"id":687833,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andres, A. Scott","contributorId":64750,"corporation":false,"usgs":true,"family":"Andres","given":"A. Scott","affiliations":[],"preferred":false,"id":687834,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Michael, Holly A.","contributorId":190224,"corporation":false,"usgs":false,"family":"Michael","given":"Holly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":687835,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70186021,"text":"70186021 - 2016 - Titanium in 2015","interactions":[],"lastModifiedDate":"2017-03-31T09:55:33","indexId":"70186021","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Titanium in 2015","docAbstract":"No abstract available.
","language":"English","publisher":"SME","usgsCitation":"Bedinger, G.M., 2016, Titanium in 2015: Mining Engineering, v. 68, no. 7, p. 30-30.","productDescription":"1 p.","startPage":"30","endPage":"30","ipdsId":"IP-075020","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":338892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":338891,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://me.smenet.org/abstract.cfm?preview=1&articleID=6675&page=30"}],"volume":"68","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58df6ac1e4b02ff32c6aea35","contributors":{"authors":[{"text":"Bedinger, George M. gbedinger@usgs.gov","contributorId":4567,"corporation":false,"usgs":true,"family":"Bedinger","given":"George","email":"gbedinger@usgs.gov","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":687366,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70185568,"text":"70185568 - 2016 - Nitrogen in 2015","interactions":[],"lastModifiedDate":"2017-03-24T10:49:25","indexId":"70185568","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen in 2015","docAbstract":"No abstract available.
","language":"English","publisher":"Mining Engineering","usgsCitation":"Apodaca, L.E., 2016, Nitrogen in 2015: Mining Engineering, v. 68, no. 7, p. 30-30.","productDescription":"1 p.","startPage":"30","endPage":"30","ipdsId":"IP-074949","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":338278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":338238,"type":{"id":15,"text":"Index Page"},"url":"https://me.smenet.org/abstract.cfm?preview=1&articleID=6675&page=30"}],"volume":"68","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58d63038e4b05ec7991310e7","contributors":{"authors":[{"text":"Apodaca, Lori E. lapodaca@usgs.gov","contributorId":1844,"corporation":false,"usgs":true,"family":"Apodaca","given":"Lori","email":"lapodaca@usgs.gov","middleInitial":"E.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":685988,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70194998,"text":"70194998 - 2016 - Depredation of the California Ridgway’s rail: Causes and distribution","interactions":[],"lastModifiedDate":"2018-02-13T15:30:51","indexId":"70194998","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Depredation of the California Ridgway’s rail: Causes and distribution","docAbstract":"We studied the causes of mortality for the California Ridgway’s rail at multiple tidal marshes in the San Francisco Bay Estuary, California. We radio-marked 196 individual rails and examined the evidence from 152 recovered California Ridgway’s rail mortalities from our radio-marked sample and determined plausible cause of death from a wide array of evidence. We also included 10 additional California Ridgway’s rail mortalities (unmarked) that we encountered during our normal field operations. We assigned a likely cause of death to 130 of the recoveries, of which 127 were determined to be caused by predation. Of those, 103 could be divided into class of cause (avian or mammalian), and avian predators were responsible for 64% of those events. Primary predators identified include domestic or feral cats, red fox, owl, and northern harrier. We did find seasonal differences between avian and mammalian predation rates, with higher proportions of avian predation in the winter and early spring. Time of day and tide height\nwere correlated with predation events, with a greater proportion of known mortalities found during periods of high tides (over 60% marsh inundation) and during daylight hours. Predation is the primary source of mortality for California Ridgway’s rail. Management actions that try to reduce avian predation may be the most effective at improving rail survival rates, given the proportion of avian predation detected.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 27th Vertebrate Pest Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"27th Vertebrate Pest Conference","conferenceDate":"March 7-10, 2016","conferenceLocation":"Newport Beach, CA","language":"English","publisher":"University of California, Davis","usgsCitation":"Casazza, M.L., Overton, C.T., Bui, T.D., Takekawa, J.Y., Merritt, A.M., and Hull, J., 2016, Depredation of the California Ridgway’s rail: Causes and distribution, in Proceedings of the 27th Vertebrate Pest Conference, Newport Beach, CA, March 7-10, 2016, p. 226-235.","productDescription":"10 p.","startPage":"226","endPage":"235","ipdsId":"IP-079366","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":351556,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee9d1e4b0da30c1bfc58e","contributors":{"authors":[{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":726500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":726501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bui, Thuy-Vy D. 0000-0002-0914-5439 tbui@usgs.gov","orcid":"https://orcid.org/0000-0002-0914-5439","contributorId":4776,"corporation":false,"usgs":true,"family":"Bui","given":"Thuy-Vy","email":"tbui@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":726502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":196611,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":726503,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merritt, Angela M. 0000-0002-8512-2423 amerritt@usgs.gov","orcid":"https://orcid.org/0000-0002-8512-2423","contributorId":201578,"corporation":false,"usgs":true,"family":"Merritt","given":"Angela","email":"amerritt@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":726504,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hull, J.M.","contributorId":201579,"corporation":false,"usgs":false,"family":"Hull","given":"J.M.","email":"","affiliations":[{"id":36209,"text":"U.S. FWS","active":true,"usgs":false}],"preferred":false,"id":726505,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70170240,"text":"70170240 - 2016 - Diatomite in 2015","interactions":[],"lastModifiedDate":"2016-07-01T11:29:53","indexId":"70170240","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Diatomite in 2015","docAbstract":"No abstract available.
","language":"English","publisher":"SME","usgsCitation":"Crangle, R., 2016, Diatomite in 2015: Mining Engineering, v. 68, no. 7, p. 30-30.","productDescription":"1 p.","startPage":"30","endPage":"30","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074844","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":324733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324732,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://me.smenet.org/abstract.cfm?preview=1&articleID=6675&page=30"}],"volume":"68","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5777861ee4b07dd077c878aa","contributors":{"authors":[{"text":"Crangle, Robert Jr. 0000-0002-8120-3760 rcrangle@usgs.gov","orcid":"https://orcid.org/0000-0002-8120-3760","contributorId":141008,"corporation":false,"usgs":true,"family":"Crangle","given":"Robert","suffix":"Jr.","email":"rcrangle@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":626571,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70170217,"text":"70170217 - 2016 - Boron in 2015","interactions":[],"lastModifiedDate":"2016-07-01T11:31:30","indexId":"70170217","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Boron in 2015","docAbstract":"No abstract available.
","language":"English","publisher":"SME","usgsCitation":"Crangle, R., 2016, Boron in 2015: Mining Engineering, v. 68, no. 7, p. 30-30.","productDescription":"1 p.","startPage":"30","endPage":"30","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074842","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":324737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324736,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://me.smenet.org/abstract.cfm?preview=1&articleID=6675&page=30"}],"volume":"68","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5777861de4b07dd077c878a1","contributors":{"authors":[{"text":"Crangle, Robert Jr. 0000-0002-8120-3760 rcrangle@usgs.gov","orcid":"https://orcid.org/0000-0002-8120-3760","contributorId":141008,"corporation":false,"usgs":true,"family":"Crangle","given":"Robert","suffix":"Jr.","email":"rcrangle@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":626523,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70193661,"text":"70193661 - 2016 - Slab melting and magma formation beneath the southern Cascade arc","interactions":[],"lastModifiedDate":"2017-11-02T15:21:45","indexId":"70193661","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Slab melting and magma formation beneath the southern Cascade arc","docAbstract":"The processes that drive magma formation beneath the Cascade arc and other warm-slab subduction zones have been debated because young oceanic crust is predicted to largely dehydrate beneath the forearc during subduction. In addition, geochemical variability along strike in the Cascades has led to contrasting interpretations about the role of volatiles in magma generation. Here, we focus on the Lassen segment of the Cascade arc, where previous work has demonstrated across-arc geochemical variations related to subduction enrichment, and H-isotope data suggest that H2O in basaltic magmas is derived from the final breakdown of chlorite in the mantle portion of the slab. We use naturally glassy, olivine-hosted melt inclusions (MI) from the tephra deposits of eight primitive (MgO>7 wt%) basaltic cinder cones to quantify the pre-eruptive volatile contents of mantle-derived melts in this region. The melt inclusions have B concentrations and isotope ratios that are similar to mid-ocean ridge basalt (MORB), suggesting extensive dehydration of the downgoing plate prior to reaching sub-arc depths and little input of slab-derived B into the mantle wedge. However, correlations of volatile and trace element ratios (H2O/Ce, Cl/Nb, Sr/Nd) in the melt inclusions demonstrate that geochemical variability is the result of variable addition of a hydrous subduction component to the mantle wedge. Furthermore, correlations between subduction component tracers and radiogenic isotope ratios show that the subduction component has less radiogenic Sr and Pb than the Lassen sub-arc mantle, which can be explained by melting of subducted Gorda MORB beneath the arc. Agreement between pMELTS melting models and melt inclusion volatile, major, and trace element data suggests that hydrous slab melt addition to the mantle wedge can produce the range in primitive compositions erupted in the Lassen region. Our results provide further evidence that chlorite-derived fluids from the mantle portion of the slab (∼7–9 km below the slab top) cause flux melting of the subducted oceanic crust, producing hydrous slab melts that migrate into the overlying mantle, where they react with peridotite to induce further melting.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2016.03.044","usgsCitation":"Walowski, K.J., Wallace, P.J., Clynne, M.A., Rasmussen, D., and Weis, D., 2016, Slab melting and magma formation beneath the southern Cascade arc: Earth and Planetary Science Letters, v. 446, p. 100-112, https://doi.org/10.1016/j.epsl.2016.03.044.","productDescription":"12 p.","startPage":"100","endPage":"112","ipdsId":"IP-066861","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470787,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.research.ed.ac.uk/en/publications/ac26caa7-78c7-4d82-b689-f1ab62b89bd3","text":"Publisher Index Page"},{"id":348125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Cascades","volume":"446","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fc2ea6e4b0531197b27f8b","contributors":{"authors":[{"text":"Walowski, Kristina J.","contributorId":199699,"corporation":false,"usgs":false,"family":"Walowski","given":"Kristina","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":719800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallace, Paul J.","contributorId":199700,"corporation":false,"usgs":false,"family":"Wallace","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":719801,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clynne, Michael A. 0000-0002-4220-2968 mclynne@usgs.gov","orcid":"https://orcid.org/0000-0002-4220-2968","contributorId":2032,"corporation":false,"usgs":true,"family":"Clynne","given":"Michael","email":"mclynne@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rasmussen, D.J.","contributorId":199701,"corporation":false,"usgs":false,"family":"Rasmussen","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":719802,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weis, D.","contributorId":199702,"corporation":false,"usgs":false,"family":"Weis","given":"D.","email":"","affiliations":[],"preferred":false,"id":719803,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193159,"text":"70193159 - 2016 - Common carp disrupt ecosystem structure and function through middle-out effects","interactions":[],"lastModifiedDate":"2017-11-20T16:11:30","indexId":"70193159","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2681,"text":"Marine and Freshwater Research","active":true,"publicationSubtype":{"id":10}},"title":"Common carp disrupt ecosystem structure and function through middle-out effects","docAbstract":"Middle-out effects or a combination of top-down and bottom-up processes create many theoretical and empirical challenges in the realm of trophic ecology. We propose using specific autecology or species trait (i.e. behavioural) information to help explain and understand trophic dynamics that may involve complicated and non-unidirectional trophic interactions. The common carp (Cyprinus carpio) served as our model species for whole-lake observational and experimental studies; four trophic levels were measured to assess common carp-mediated middle-out effects across multiple lakes. We hypothesised that common carp could influence aquatic ecosystems through multiple pathways (i.e. abiotic and biotic foraging, early life feeding, nutrient). Both studies revealed most trophic levels were affected by common carp, highlighting strong middle-out effects likely caused by common carp foraging activities and abiotic influence (i.e. sediment resuspension). The loss of water transparency, submersed vegetation and a shift in zooplankton dynamics were the strongest effects. Trophic levels furthest from direct pathway effects were also affected (fish life history traits). The present study demonstrates that common carp can exert substantial effects on ecosystem structure and function. Species capable of middle-out effects can greatly modify communities through a variety of available pathways and are not confined to traditional top-down or bottom-up processes.
","language":"English","publisher":"CSIRO","doi":"10.1071/MF15068","usgsCitation":"Kaemingk, M.A., Jolley, J.C., Paukert, C.P., Willis, D.W., Henderson, K., Holland, R.S., Wanner, G.A., and Lindvall, M.L., 2016, Common carp disrupt ecosystem structure and function through middle-out effects: Marine and Freshwater Research, v. 68, no. 4, p. 718-731, https://doi.org/10.1071/MF15068.","productDescription":"14 p.","startPage":"718","endPage":"731","ipdsId":"IP-063503","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd1fe4b06e28e9c2477c","contributors":{"authors":[{"text":"Kaemingk, Mark A.","contributorId":40510,"corporation":false,"usgs":true,"family":"Kaemingk","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jolley, Jeffrey C.","contributorId":195102,"corporation":false,"usgs":false,"family":"Jolley","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":722935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718107,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Willis, David W.","contributorId":55313,"corporation":false,"usgs":true,"family":"Willis","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":722936,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Henderson, Kjetil R.","contributorId":191695,"corporation":false,"usgs":false,"family":"Henderson","given":"Kjetil R.","affiliations":[],"preferred":false,"id":722937,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Holland, Richard S.","contributorId":200634,"corporation":false,"usgs":false,"family":"Holland","given":"Richard","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":722938,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wanner, Greg A.","contributorId":200635,"corporation":false,"usgs":false,"family":"Wanner","given":"Greg","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722939,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lindvall, Mark L.","contributorId":200636,"corporation":false,"usgs":false,"family":"Lindvall","given":"Mark","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":722940,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70193671,"text":"70193671 - 2016 - A long-term study of ecological impacts of river channelization on the population of an endangered fish: Lessons learned for assessment and restoration","interactions":[],"lastModifiedDate":"2017-11-13T14:13:43","indexId":"70193671","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"A long-term study of ecological impacts of river channelization on the population of an endangered fish: Lessons learned for assessment and restoration","docAbstract":"Projects to assess environmental impact or restoration success in rivers focus on project-specific questions but can also provide valuable insights for future projects. Both restoration actions and impact assessments can become “adaptive” by using the knowledge gained from long-term monitoring and analysis to revise the actions, monitoring, conceptual model, or interpretation of findings so that subsequent actions or assessments are better informed. Assessments of impact or restoration success are especially challenging when the indicators of interest are imperiled species and/or the impacts being addressed are complex. From 1997 to 2015, we worked closely with two federal agencies to monitor habitat availability for and population density of Roanoke logperch (Percina rex), an endangered fish, in a 24-km-long segment of the upper Roanoke River, VA. We primarily used a Before-After-Control-Impact analytical framework to assess potential impacts of a river channelization project on the P. rex population. In this paper, we summarize how our extensive monitoring facilitated the evolution of our (a) conceptual understanding of the ecosystem and fish population dynamics; (b) choices of ecological indicators and analytical tools; and (c) conclusions regarding the magnitude, mechanisms, and significance of observed impacts. Our experience with this case study taught us important lessons about how to adaptively develop and conduct a monitoring program, which we believe are broadly applicable to assessments of environmental impact and restoration success in other rivers. In particular, we learned that (a) pre-treatment planning can enhance monitoring effectiveness, help avoid unforeseen pitfalls, and lead to more robust conclusions; (b) developing adaptable conceptual and analytical models early was crucial to organizing our knowledge, guiding our study design, and analyzing our data; (c) catchment-wide processes that we did not monitor, or initially consider, had profound implications for interpreting our findings; and (d) using multiple analytical frameworks, with varying assumptions, led to clearer interpretation of findings than the use of a single framework alone. Broader integration of these guiding principles into monitoring studies, though potentially challenging, could lead to more scientifically defensible assessments of project effects.
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","language":"English","publisher":"SME","usgsCitation":"Olson, D.W., 2016, Industrial Garnet in 2015: Mining Engineering, v. 68, no. 7, p. 30-30.","productDescription":"1 p.","startPage":"30","endPage":"30","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075797","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":324720,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324719,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://me.smenet.org/abstract.cfm?preview=1&articleID=6675&page=30"}],"volume":"68","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57778623e4b07dd077c878c7","contributors":{"authors":[{"text":"Olson, Donald W. dolson@usgs.gov","contributorId":526,"corporation":false,"usgs":true,"family":"Olson","given":"Donald","email":"dolson@usgs.gov","middleInitial":"W.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":628953,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}