{"pageNumber":"1403","pageRowStart":"35050","pageSize":"25","recordCount":165244,"records":[{"id":70048494,"text":"fs20133078 - 2013 - Borehole geophysical, fluid, and hydraulic properties within and near the freshwater/saline-water transition zone, San Antonio segment of the Edwards aquifer, south-central Texas, 2010-11","interactions":[],"lastModifiedDate":"2016-08-05T13:26:29","indexId":"fs20133078","displayToPublicDate":"2013-09-30T15:33:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3078","title":"Borehole geophysical, fluid, and hydraulic properties within and near the freshwater/saline-water transition zone, San Antonio segment of the Edwards aquifer, south-central Texas, 2010-11","docAbstract":"<p>The freshwater zone of the San Antonio segment of the Edwards aquifer is used by residents of San Antonio and numerous other rapidly growing communities in south-central Texas as their primary water supply source. This freshwater zone is bounded to the south and southeast by a saline-water zone with an intermediate zone transitioning from freshwater to saline water (transition zone). As demands on this water supply increase, there is concern that the transition zone could potentially move, resulting in more saline water in current freshwater supply wells. Since 1985, the U.S. Geological Survey, San Antonio Water System, and other Federal and State agencies have conducted studies to better understand the transition zone.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133078","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Thomas, J.V., and Stanton, G.P., 2013, Borehole geophysical, fluid, and hydraulic properties within and near the freshwater/saline-water transition zone, San Antonio segment of the Edwards aquifer, south-central Texas, 2010-11: U.S. Geological Survey Fact Sheet 2013-3078, 6 p., https://doi.org/10.3133/fs20133078.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":278230,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133078.gif"},{"id":278228,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3078/"},{"id":278229,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3078/pdf/FS2013-3078.pdf"}],"country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.666667,28.5 ], [ -100.666667,29.6 ], [ -97.5,29.6 ], [ -97.5,28.5 ], [ -100.666667,28.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"524a8f67e4b017cb43afb101","contributors":{"authors":[{"text":"Thomas, Jonathan V. 0000-0003-0903-9713 jvthomas@usgs.gov","orcid":"https://orcid.org/0000-0003-0903-9713","contributorId":2194,"corporation":false,"usgs":true,"family":"Thomas","given":"Jonathan","email":"jvthomas@usgs.gov","middleInitial":"V.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanton, Gregory P. 0000-0001-8622-0933 gstanton@usgs.gov","orcid":"https://orcid.org/0000-0001-8622-0933","contributorId":1583,"corporation":false,"usgs":true,"family":"Stanton","given":"Gregory","email":"gstanton@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":484834,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048491,"text":"70048491 - 2013 - Effects of a chronic lower range of triclosan exposure to a stream mesocosm community","interactions":[],"lastModifiedDate":"2013-11-18T10:20:13","indexId":"70048491","displayToPublicDate":"2013-09-30T14:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Effects of a chronic lower range of triclosan exposure to a stream mesocosm community","docAbstract":"Triclosan (5-chloro-2-(2,4-dichlorophenoxy)phenol) is an antimicrobial found in consumer soaps and toothpaste. It is in treated wastewater effluents at low part per billion concentrations, representing a potentially chronic exposure condition for biota inhabiting receiving streams. A naturally colonized benthos was created using flow-through indoor mesocosms. Then the benthic communities were dosed to achieve different in-stream triclosan concentrations (Control, 0.1, 0.5, 1.0, 5.0, and 10 µg/L) for 56 days. Water quality parameters and endpoints from bacteria to macroinvertebrates plus interacting abiotic components were measured. Effects of triclosan on specific microbial endpoints were observed at all doses, including an effect on litter decomposition dynamics at doses 1.0 µg/L and higher. Resistance of periphytic bacteria to triclosan significantly increased in doses 0.5 µg/L and above. By the end of dosing, the antimicrobial appeared to stimulate the stream periphyton at the three lowest doses while the two highest doses exhibited decreased stocks of periphyton, including significantly lower bacteria cell densities, and cyanobacteria abundance compared to the control. Beside an effect on benthic ostracods, the changes that occurred in the periphyton did not translate to significant change in the colonizing nematodes, the macroinvertebrate community as a whole, or other measurements of stream function. The results shed light on the role a low, chronic exposure to triclosan may play in effluent dominated streams.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/etc.2385","usgsCitation":"Nietch, C., Quinlan, E., Lazorchak, J., Impellitteri, C., Raikow, D., and Walters, D., 2013, Effects of a chronic lower range of triclosan exposure to a stream mesocosm community: Environmental Toxicology and Chemistry, v. 32, no. 12, p. 2874-2887, https://doi.org/10.1002/etc.2385.","productDescription":"14 p.","startPage":"2874","endPage":"2887","additionalOnlineFiles":"N","ipdsId":"IP-051750","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":278226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278225,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2385"}],"volume":"32","issue":"12","noUsgsAuthors":false,"publicationDate":"2013-09-03","publicationStatus":"PW","scienceBaseUri":"524a8f69e4b017cb43afb10a","contributors":{"authors":[{"text":"Nietch, C.T.","contributorId":29592,"corporation":false,"usgs":true,"family":"Nietch","given":"C.T.","email":"","affiliations":[],"preferred":false,"id":484822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quinlan, E.L.","contributorId":33211,"corporation":false,"usgs":true,"family":"Quinlan","given":"E.L.","email":"","affiliations":[],"preferred":false,"id":484823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lazorchak, J.","contributorId":96993,"corporation":false,"usgs":true,"family":"Lazorchak","given":"J.","email":"","affiliations":[],"preferred":false,"id":484825,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Impellitteri, C.","contributorId":14723,"corporation":false,"usgs":true,"family":"Impellitteri","given":"C.","email":"","affiliations":[],"preferred":false,"id":484821,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raikow, D.","contributorId":73911,"corporation":false,"usgs":true,"family":"Raikow","given":"D.","affiliations":[],"preferred":false,"id":484824,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walters, David M. 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":4444,"corporation":false,"usgs":true,"family":"Walters","given":"David M.","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":484820,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70175230,"text":"70175230 - 2013 - A comparison of adaptive sampling designs and binary spatial models: A simulation study using a census of <i>Bromus inermis</i>","interactions":[],"lastModifiedDate":"2016-08-03T12:33:13","indexId":"70175230","displayToPublicDate":"2013-09-30T13:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1577,"text":"Environmetrics","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of adaptive sampling designs and binary spatial models: A simulation study using a census of <i>Bromus inermis</i>","docAbstract":"<p><span>Commonly in environmental and ecological studies, species distribution data are recorded as presence or absence throughout a spatial domain of interest. Field based studies typically collect observations by sampling a subset of the spatial domain. We consider the effects of six different adaptive and two non-adaptive sampling designs and choice of three binary models on both predictions to unsampled locations and parameter estimation of the regression coefficients (species&ndash;environment relationships). Our simulation study is unique compared to others to date in that we virtually sample a true known spatial distribution of a nonindigenous plant species,&nbsp;</span><i>Bromus inermis</i><span>. The census of&nbsp;</span><i>B. inermis</i><span>&nbsp;provides a good example of a species distribution that is both sparsely (1.9&nbsp;</span><i>%</i><span>&nbsp;prevalence) and patchily distributed. We find that modeling the spatial correlation using a random effect with an intrinsic Gaussian conditionally autoregressive prior distribution was equivalent or superior to Bayesian autologistic regression in terms of predicting to un-sampled areas when strip adaptive cluster sampling was used to survey&nbsp;</span><i>B. inermis</i><span>. However, inferences about the relationships between&nbsp;</span><i>B. inermis</i><span>&nbsp;presence and environmental predictors differed between the two spatial binary models. The strip adaptive cluster designs we investigate provided a significant advantage in terms of Markov chain Monte Carlo chain convergence when trying to model a sparsely distributed species across a large area. In general, there was little difference in the choice of neighborhood, although the adaptive king was preferred when transects were randomly placed throughout the spatial domain.</span></p>","language":"English","publisher":"International Environmetrics Society","publisherLocation":"London","doi":"10.1002/env.2223","usgsCitation":"Irvine, K.M., Thornton, J., Backus, V.M., Hohmann, M.G., Lehnhoff, E.A., Maxwell, B., Michels, K., and Rew, L., 2013, A comparison of adaptive sampling designs and binary spatial models: A simulation study using a census of <i>Bromus inermis</i>: Environmetrics, v. 24, no. 6, p. 407-417, https://doi.org/10.1002/env.2223.","startPage":"407","endPage":"417","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037370","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":326035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-13","publicationStatus":"PW","scienceBaseUri":"57a315b9e4b006cb45558a1e","contributors":{"authors":[{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":644436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thornton, Jamie","contributorId":173411,"corporation":false,"usgs":false,"family":"Thornton","given":"Jamie","email":"","affiliations":[],"preferred":false,"id":644557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Backus, Vickie M.","contributorId":173380,"corporation":false,"usgs":false,"family":"Backus","given":"Vickie","email":"","middleInitial":"M.","affiliations":[{"id":27218,"text":"Montana State University, Earth Sciences","active":true,"usgs":false}],"preferred":false,"id":644441,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hohmann, Matthew G.","contributorId":173379,"corporation":false,"usgs":false,"family":"Hohmann","given":"Matthew","email":"","middleInitial":"G.","affiliations":[{"id":26926,"text":"Us Army Engineer Research and Development Center, Vicksburg, MS","active":true,"usgs":false}],"preferred":false,"id":644440,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lehnhoff, Erik A.","contributorId":173377,"corporation":false,"usgs":false,"family":"Lehnhoff","given":"Erik","email":"","middleInitial":"A.","affiliations":[{"id":6765,"text":"Montana State University, Department of Land Resources and Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":644438,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maxwell, Bruce D.","contributorId":173376,"corporation":false,"usgs":false,"family":"Maxwell","given":"Bruce D.","affiliations":[{"id":6765,"text":"Montana State University, Department of Land Resources and Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":644437,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Michels, Kurt","contributorId":173378,"corporation":false,"usgs":false,"family":"Michels","given":"Kurt","email":"","affiliations":[{"id":27217,"text":"University of Arizona, Department of Mathematical Sciences","active":true,"usgs":false}],"preferred":false,"id":644558,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rew, Lisa","contributorId":167882,"corporation":false,"usgs":false,"family":"Rew","given":"Lisa","email":"","affiliations":[{"id":5120,"text":"Montana State University, Department of Mathematical Sciences, Bozeman, MT 59717","active":true,"usgs":false}],"preferred":false,"id":644559,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70048483,"text":"70048483 - 2013 - Validating predictions from climate envelope models","interactions":[],"lastModifiedDate":"2013-10-30T11:06:49","indexId":"70048483","displayToPublicDate":"2013-09-30T10:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Validating predictions from climate envelope models","docAbstract":"Climate envelope models are a potentially important conservation tool, but their ability to accurately forecast species’ distributional shifts using independent survey data has not been fully evaluated. We created climate envelope models for 12 species of North American breeding birds previously shown to have experienced poleward range shifts. For each species, we evaluated three different approaches to climate envelope modeling that differed in the way they treated climate-induced range expansion and contraction, using random forests and maximum entropy modeling algorithms. All models were calibrated using occurrence data from 1967–1971 (t1) and evaluated using occurrence data from 1998–2002 (t2). Model sensitivity (the ability to correctly classify species presences) was greater using the maximum entropy algorithm than the random forest algorithm. Although sensitivity did not differ significantly among approaches, for many species, sensitivity was maximized using a hybrid approach that assumed range expansion, but not contraction, in t2. Species for which the hybrid approach resulted in the greatest improvement in sensitivity have been reported from more land cover types than species for which there was little difference in sensitivity between hybrid and dynamic approaches, suggesting that habitat generalists may be buffered somewhat against climate-induced range contractions. Specificity (the ability to correctly classify species absences) was maximized using the random forest algorithm and was lowest using the hybrid approach. Overall, our results suggest cautious optimism for the use of climate envelope models to forecast range shifts, but also underscore the importance of considering non-climate drivers of species range limits. The use of alternative climate envelope models that make different assumptions about range expansion and contraction is a new and potentially useful way to help inform our understanding of climate change effects on species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLOS One","doi":"10.1371/journal.pone.0063600","usgsCitation":"Watling, J., Bucklin, D., Speroterra, C., Brandt, L., Cabal, C., Romañach, S., and Mazzotti, F., 2013, Validating predictions from climate envelope models: PLoS ONE, v. 8, no. 5, 12 p., https://doi.org/10.1371/journal.pone.0063600.","productDescription":"12 p.","ipdsId":"IP-036644","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473520,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0063600","text":"Publisher Index Page"},{"id":278219,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278218,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0063600"}],"volume":"8","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-05-23","publicationStatus":"PW","scienceBaseUri":"524a8f6ae4b017cb43afb10d","contributors":{"authors":[{"text":"Watling, J.","contributorId":13125,"corporation":false,"usgs":true,"family":"Watling","given":"J.","email":"","affiliations":[],"preferred":false,"id":484807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bucklin, D.","contributorId":107179,"corporation":false,"usgs":true,"family":"Bucklin","given":"D.","affiliations":[],"preferred":false,"id":484811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Speroterra, C.","contributorId":75842,"corporation":false,"usgs":true,"family":"Speroterra","given":"C.","affiliations":[],"preferred":false,"id":484810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, L.","contributorId":24548,"corporation":false,"usgs":true,"family":"Brandt","given":"L.","email":"","affiliations":[],"preferred":false,"id":484808,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cabal, C.","contributorId":52479,"corporation":false,"usgs":true,"family":"Cabal","given":"C.","email":"","affiliations":[],"preferred":false,"id":484809,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Romañach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":2331,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie S.","email":"sromanach@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":484805,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mazzotti, Frank J.","contributorId":12358,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12604,"text":"Department of Wildlife Ecology and Conservation, Fort Lauderdale Research and Education Center, 3205 College Avenue, University of Florida, Davie, FL 33314, USA","active":true,"usgs":false}],"preferred":false,"id":484806,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70048481,"text":"70048481 - 2013 - A comparative assessment of tools for ecosystem services quantification and valuation","interactions":[],"lastModifiedDate":"2013-10-30T11:07:29","indexId":"70048481","displayToPublicDate":"2013-09-30T09:37:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1477,"text":"Ecosystem Services","active":true,"publicationSubtype":{"id":10}},"title":"A comparative assessment of tools for ecosystem services quantification and valuation","docAbstract":"To enter widespread use, ecosystem service assessments need to be quantifiable, replicable, credible, flexible, and affordable. With recent growth in the field of ecosystem services, a variety of decision-support tools has emerged to support more systematic ecosystem services assessment. Despite the growing complexity of the tool landscape, thorough reviews of tools for identifying, assessing, modeling and in some cases monetarily valuing ecosystem services have generally been lacking. In this study, we describe 17 ecosystem services tools and rate their performance against eight evaluative criteria that gauge their readiness for widespread application in public- and private-sector decision making. We describe each of the tools′ intended uses, services modeled, analytical approaches, data requirements, and outputs, as well time requirements to run seven tools in a first comparative concurrent application of multiple tools to a common location – the San Pedro River watershed in southeast Arizona, USA, and northern Sonora, Mexico. Based on this work, we offer conclusions about these tools′ current ‘readiness’ for widespread application within both public- and private-sector decision making processes. Finally, we describe potential pathways forward to reduce the resource requirements for running ecosystem services models, which are essential to facilitate their more widespread use in environmental decision making.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosystem Services","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoser.2013.07.004","usgsCitation":"Bagstad, K.J., Semmens, D., Waage, S., and Winthrop, R., 2013, A comparative assessment of tools for ecosystem services quantification and valuation: Ecosystem Services, v. 5, p. 27-39, https://doi.org/10.1016/j.ecoser.2013.07.004.","productDescription":"13 p.","startPage":"27","endPage":"39","numberOfPages":"13","ipdsId":"IP-036066","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":278217,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278216,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecoser.2013.07.004"}],"volume":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"524a8f52e4b017cb43afb0fe","contributors":{"authors":[{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":484798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Semmens, Darius J. 0000-0001-7924-6529","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":64201,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":484799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waage, Sissel","contributorId":81786,"corporation":false,"usgs":true,"family":"Waage","given":"Sissel","email":"","affiliations":[],"preferred":false,"id":484801,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winthrop, Robert","contributorId":76216,"corporation":false,"usgs":true,"family":"Winthrop","given":"Robert","email":"","affiliations":[],"preferred":false,"id":484800,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048473,"text":"70048473 - 2013 - Changes in the structure and function of northern Alaskan ecosystems when considering variable leaf-out times across groupings of species in a dynamic vegetation model","interactions":[],"lastModifiedDate":"2014-02-03T10:52:02","indexId":"70048473","displayToPublicDate":"2013-09-30T09:25:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Changes in the structure and function of northern Alaskan ecosystems when considering variable leaf-out times across groupings of species in a dynamic vegetation model","docAbstract":"The phenology of arctic ecosystems is driven primarily by abiotic forces, with temperature acting as the main determinant of growing season onset and leaf budburst in the spring. However, while the plant species in arctic ecosystems require differing amounts of accumulated heat for leaf-out, dynamic vegetation models simulated over regional to global scales typically assume some average leaf-out for all of the species within an ecosystem. Here, we make use of air temperature records and observations of spring leaf phenology collected across dominant groupings of species (dwarf birch shrubs, willow shrubs, other deciduous shrubs, grasses, sedges, and forbs) in arctic and boreal ecosystems in Alaska. We then parameterize a dynamic vegetation model based on these data for four types of tundra ecosystems (heath tundra, shrub tundra, wet sedge tundra, and tussock tundra), as well as ecotonal boreal white spruce forest, and perform model simulations for the years 1970 -2100. Over the course of the model simulations, we found changes in ecosystem composition under this new phenology algorithm compared to simulations with the previous phenology algorithm. These changes were the result of the differential timing of leaf-out, as well as the ability for the groupings of species to compete for nitrogen and light availability. Regionally, there were differences in the trends of the carbon pools and fluxes between the new phenology algorithm and the previous phenology algorithm, although these differences depended on the future climate scenario. These findings indicate the importance of leaf phenology data collection by species and across the various ecosystem types within the highly heterogeneous Arctic landscape, and that dynamic vegetation models should consider variation in leaf-out by groupings of species within these ecosystems to make more accurate projections of future plant distributions and carbon cycling in Arctic regions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.1111/gcb.12392","usgsCitation":"Euskirchen, E., Carman, T., and McGuire, A.D., 2013, Changes in the structure and function of northern Alaskan ecosystems when considering variable leaf-out times across groupings of species in a dynamic vegetation model: Global Change Biology, v. 20, no. 3, p. 963-978, https://doi.org/10.1111/gcb.12392.","productDescription":"16 p.","startPage":"963","endPage":"978","numberOfPages":"16","ipdsId":"IP-049058","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":473521,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.12392","text":"Publisher Index Page"},{"id":278215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278214,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gcb.12392"}],"volume":"20","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-01-23","publicationStatus":"PW","scienceBaseUri":"524a8f68e4b017cb43afb107","contributors":{"authors":[{"text":"Euskirchen, E.S.","contributorId":44737,"corporation":false,"usgs":true,"family":"Euskirchen","given":"E.S.","affiliations":[],"preferred":false,"id":484765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carman, T.B.","contributorId":33210,"corporation":false,"usgs":true,"family":"Carman","given":"T.B.","email":"","affiliations":[],"preferred":false,"id":484764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, Anthony D. 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":2493,"corporation":false,"usgs":true,"family":"McGuire","given":"Anthony","email":"ffadm@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":false,"id":484763,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175453,"text":"70175453 - 2013 - Factors influencing the movement biology of migrant songbirds confronted with an ecological barrier","interactions":[],"lastModifiedDate":"2016-08-11T15:56:41","indexId":"70175453","displayToPublicDate":"2013-09-29T16:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":982,"text":"Behavioral Ecology and Sociobiology","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing the movement biology of migrant songbirds confronted with an ecological barrier","docAbstract":"<p><span>Whether or not a migratory songbird embarks on a long-distance flight across an ecological barrier is likely a response to a number of endogenous and exogenous factors. During autumn 2008 and 2009, we used automated radio tracking to investigate how energetic condition, age, and weather influenced the departure timing and direction of Swainson&rsquo;s thrushes (</span><i class=\"EmphasisTypeItalic \">Catharus ustulatus</i><span>) during migratory stopover along the northern coast of the Gulf of Mexico. Most birds left within 1&nbsp;h after sunset on the evening following capture. Those birds that departed later on the first night or remained longer than 1&nbsp;day were lean. Birds that carried fat loads sufficient to cross the Gulf of Mexico generally departed in a seasonally appropriate southerly direction, whereas lean birds nearly always flew inland in a northerly direction. We did not detect an effect of age or weather on departures. The decision by lean birds to reorient movement inland may reflect the suitability of the coastal stopover site for deposition of fuel stores and the motivation to seek food among more extensive forested habitat away from the barrier.</span></p>","language":"English","publisher":"Springer-Verlag","publisherLocation":"Berlin","doi":"10.1007/s00265-013-1614-6","usgsCitation":"Smolinsky, J., Diehl, R.H., Radzio, T.A., Delaney, D.K., and Moore, F.R., 2013, Factors influencing the movement biology of migrant songbirds confronted with an ecological barrier: Behavioral Ecology and Sociobiology, v. 67, no. 12, p. 2041-2051, https://doi.org/10.1007/s00265-013-1614-6.","startPage":"2041","endPage":"2051","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042052","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":326419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-09-08","publicationStatus":"PW","scienceBaseUri":"57ada1b9e4b0f412a62dfa64","contributors":{"authors":[{"text":"Smolinsky, J. A.","contributorId":173632,"corporation":false,"usgs":false,"family":"Smolinsky","given":"J. A.","affiliations":[{"id":27264,"text":"University of Delaware, Newark, DE","active":true,"usgs":false}],"preferred":false,"id":645298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diehl, Robert H. 0000-0001-9141-1734 rhdiehl@usgs.gov","orcid":"https://orcid.org/0000-0001-9141-1734","contributorId":3396,"corporation":false,"usgs":true,"family":"Diehl","given":"Robert","email":"rhdiehl@usgs.gov","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":645294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Radzio, T. A.","contributorId":173631,"corporation":false,"usgs":false,"family":"Radzio","given":"T.","email":"","middleInitial":"A.","affiliations":[{"id":27263,"text":"Drexel University, Philadelphia, PA","active":true,"usgs":false}],"preferred":false,"id":645297,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Delaney, D. K.","contributorId":173629,"corporation":false,"usgs":false,"family":"Delaney","given":"D.","email":"","middleInitial":"K.","affiliations":[{"id":27261,"text":"U.S. Army Construction Engineering Research Laboratory, Champaig","active":true,"usgs":false}],"preferred":false,"id":645295,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moore, F. R","contributorId":173630,"corporation":false,"usgs":false,"family":"Moore","given":"F.","email":"","middleInitial":"R","affiliations":[{"id":27262,"text":"University of Southern Mississippi, Hattiesburg, MS","active":true,"usgs":false}],"preferred":false,"id":645296,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048474,"text":"fs20133062 - 2013 - Wyoming Basin Rapid Ecoregional Assessment","interactions":[],"lastModifiedDate":"2013-09-27T16:53:32","indexId":"fs20133062","displayToPublicDate":"2013-09-27T16:38:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3062","title":"Wyoming Basin Rapid Ecoregional Assessment","docAbstract":"The overall goal of the Wyoming Basin Rapid Ecoregional Assessment (REA) is to provide information that supports regional planning and analysis for the management of ecological resources. The REA provides an assessment of baseline ecological conditions, an evaluation of current risks from drivers of ecosystem change (including energy development, fire, and invasive species), and a predictive capacity for evaluating future risks (including climate change). Additionally, the REA may be used for identifying priority areas for conservation or restoration and for assessing cumulative effects of multiple land uses. The Wyoming Basin REA will address Management Questions developed by the Bureau of Land Management and other agency partners for 8 major biomes and 19 species or species assemblages. The maps developed for addressing Management Questions will be integrated into overall maps of landscape-level ecological values and risks. The maps can be used to address the goals of the REA at a number of levels: for individual species, species assemblages, aquatic and terrestrial systems, and for the entire ecoregion. This allows flexibility in how the products of the REA are compiled to inform planning and management actions across a broad range of spatial scales.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133062","usgsCitation":"Carr, N.B., and Means, R.E., 2013, Wyoming Basin Rapid Ecoregional Assessment: U.S. Geological Survey Fact Sheet 2013-3062, 2 p., https://doi.org/10.3133/fs20133062.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":278213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133062.gif"},{"id":278211,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3062/"},{"id":278212,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3062/pdf/fs2013-3062.pdf"}],"country":"United States","state":"Colorado;Idaho;Montana;Utah;Wyoming","otherGeospatial":"Wyoming Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.0056,39.7938 ], [ -112.0056,46.0046 ], [ -104.4992,46.0046 ], [ -104.4992,39.7938 ], [ -112.0056,39.7938 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52469af0e4b035b7f35add91","contributors":{"authors":[{"text":"Carr, Natasha B. 0000-0002-4842-0632 carrn@usgs.gov","orcid":"https://orcid.org/0000-0002-4842-0632","contributorId":1918,"corporation":false,"usgs":true,"family":"Carr","given":"Natasha","email":"carrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":484766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Means, Robert E.","contributorId":105215,"corporation":false,"usgs":true,"family":"Means","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":484767,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048471,"text":"ofr20131243 - 2013 - Seasonal flux and assemblage composition of planktic foraminifera from the northern Gulf of Mexico, 2008-2012","interactions":[],"lastModifiedDate":"2013-10-23T09:02:21","indexId":"ofr20131243","displayToPublicDate":"2013-09-27T15:07:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1243","title":"Seasonal flux and assemblage composition of planktic foraminifera from the northern Gulf of Mexico, 2008-2012","docAbstract":"The U.S. Geological Survey anchored a sediment trap in the northern Gulf of Mexico beginning in 2008 to collect seasonal time-series data on the flux and assemblage composition of live planktic foraminifers. This report provides an update of the previous time-series data to include results from 2012. Ten species, or varieties, constituted ~92 percent of the 2012 assemblage: <i>Globigerinoides ruber</i> (pink and white varieties), <i>Globigerinoides sacculifer</i>, <i>Globigerina calida</i>, <i>Globigerinella aequilateralis</i>, <i>Globorotalia menardii</i> group [The <i>Gt. menardii</i> group includes <i>Gt. menardii</i>, <i>Gt. tumida</i>, and <i>Gt. ungulata</i>], <i>Orbulina universa</i>, <i>Globorotalia truncatulinoides</i>, <i>Pulleniatina</i> spp., and <i>Neogloboquadrina dutertrei</i>. The mean daily flux was 158 tests per square meter per day (m<sup>–2</sup> day<sup>–1</sup>), with maximum fluxes of >450tests m<sup>–2</sup> day<sup>–1</sup> during the beginning of July and mid–August and minimum fluxes of <10 tests m<sup>–2</sup> day<sup>–1</sup> during the beginning of February and mid–July. Globorotalia truncatulinoides showed a clear preference for the winter, consistent with data from 2008 to 2011. Globigerinoides ruber (white) flux data for 2012 (average 23 tests m<sup>–2</sup> day<sup>–1</sup>) were consistent with data from 2011 (average 30 tests m<sup>–2</sup> day<sup>–1</sup>) and 2010 (average 29 tests m<sup>–2</sup> day<sup>–1</sup>) and showed a steady threefold increase since 2009 (average 11 tests m<sup>–2</sup> day<sup>–1</sup>) and a tenfold increase from the 2008 flux (3 tests m<sup>–2</sup> day<sup>–1</sup>).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131243","usgsCitation":"Reynolds, C.E., Richey, J.N., and Poore, R.Z., 2013, Seasonal flux and assemblage composition of planktic foraminifera from the northern Gulf of Mexico, 2008-2012: U.S. Geological Survey Open-File Report 2013-1243, Report: v, 13 p.; 1 Table, https://doi.org/10.3133/ofr20131243.","productDescription":"Report: v, 13 p.; 1 Table","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-01-01","temporalEnd":"2012-12-31","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":278207,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1243/table/ofr2013-1243_table.xls"},{"id":278208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131243.gif"},{"id":278205,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1243/"},{"id":278206,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1243/pdf/ofr2013-1243.pdf"}],"otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.0415,19.994 ], [ -100.0415,32.981 ], [ -79.9805,32.981 ], [ -79.9805,19.994 ], [ -100.0415,19.994 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52469aefe4b035b7f35add8e","contributors":{"authors":[{"text":"Reynolds, Caitlin E. 0000-0002-1724-3055 creynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-1724-3055","contributorId":4049,"corporation":false,"usgs":true,"family":"Reynolds","given":"Caitlin","email":"creynolds@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richey, Julie N. 0000-0002-2319-7980 jrichey@usgs.gov","orcid":"https://orcid.org/0000-0002-2319-7980","contributorId":5182,"corporation":false,"usgs":true,"family":"Richey","given":"Julie","email":"jrichey@usgs.gov","middleInitial":"N.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":484754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poore, Richard Z. rpoore@usgs.gov","contributorId":345,"corporation":false,"usgs":true,"family":"Poore","given":"Richard","email":"rpoore@usgs.gov","middleInitial":"Z.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":484752,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048469,"text":"ofr20131234 - 2013 - Partnering for science: proceedings of the USGS Workshop on Citizen Science","interactions":[],"lastModifiedDate":"2018-08-10T16:39:58","indexId":"ofr20131234","displayToPublicDate":"2013-09-27T14:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1234","title":"Partnering for science: proceedings of the USGS Workshop on Citizen Science","docAbstract":"<p>What U.S. Geological Survey (USGS) programs use citizen science? How can projects be best designed while meeting policy requirements? What are the most effective volunteer recruitment methods? What data should be collected to ensure validation and how should data be stored? What standard protocols are most easily used by volunteers? Can data from multiple projects be integrated to support new research or existing science questions? To help answer these and other questions, the USGS Community of Data Integration (CDI) supported the development of the Citizen Science Working Group (CSWG) in August 2011 and funded the working group&rsquo;s proposal to hold a USGS Citizen Science Workshop in fiscal year 2012. The stated goals for our workshop were: raise awareness of programs and projects in the USGS that incorporate citizen science, create a community of practice for the sharing of knowledge and experiences, provide a forum to discuss the challenges of&mdash;and opportunities for&mdash;incorporating citizen science into USGS projects, and educate and support scientists and managers whose projects may benefit from public participation in science.To meet these goals, the workshop brought together 50 attendees (see appendix A for participant details) representing the USGS, partners, and external citizen science practitioners from diverse backgrounds (including scientists, managers, project coordinators, and technical developers, for example) to discuss these topics at the Denver Federal Center in Colorado on September 11&ndash;12, 2012. Over two and a half days, attendees participated in four major plenary sessions (Citizen Science Policy and Challenges, Engaging the Public in Scientific Research, Data Collection and Management, and Technology and Tools) comprised of 25 invited presentations and followed by structured discussions for each session designed to address both prepared and ad hoc \"big questions.\" A number of important community support and infrastructure needs were identified from the sessions and discussions, and a subteam was formed to draft a strategic vision statement to guide and prioritize future USGS efforts to support the citizen science community. Attendees also brainstormed proposal ideas for the fiscal year 2013 CDI request for proposals: one possible venue to support the execution of the vision.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131234","collaboration":"Community for Data Integration","usgsCitation":"Hines, M., Benson, A., Govoni, D., Masaki, D., Poore, B., Simpson, A., and Tessler, S., 2013, Partnering for science: proceedings of the USGS Workshop on Citizen Science (Version 1.0: September 27, 2013; Version 1.1: March 25, 2015): U.S. Geological Survey Open-File Report 2013-1234, vi, 51 p., https://doi.org/10.3133/ofr20131234.","productDescription":"vi, 51 p.","numberOfPages":"61","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":298982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131234.jpg"},{"id":278203,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1234/pdf/ofr2013-1234.pdf"},{"id":278202,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1234/"}],"edition":"Version 1.0: September 27, 2013; Version 1.1: March 25, 2015","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52469aefe4b035b7f35add8b","contributors":{"authors":[{"text":"Hines, Megan","contributorId":34033,"corporation":false,"usgs":true,"family":"Hines","given":"Megan","affiliations":[],"preferred":false,"id":484747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benson, Abigail 0000-0002-4391-107X","orcid":"https://orcid.org/0000-0002-4391-107X","contributorId":45620,"corporation":false,"usgs":true,"family":"Benson","given":"Abigail","affiliations":[],"preferred":false,"id":484748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Govoni, David","contributorId":13523,"corporation":false,"usgs":true,"family":"Govoni","given":"David","affiliations":[],"preferred":false,"id":484746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Masaki, Derek dmasaki@usgs.gov","contributorId":4826,"corporation":false,"usgs":true,"family":"Masaki","given":"Derek","email":"dmasaki@usgs.gov","affiliations":[],"preferred":true,"id":484745,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poore, Barbara","contributorId":49039,"corporation":false,"usgs":true,"family":"Poore","given":"Barbara","affiliations":[],"preferred":false,"id":484749,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Simpson, Annie 0000-0001-8338-5134 asimpson@usgs.gov","orcid":"https://orcid.org/0000-0001-8338-5134","contributorId":127,"corporation":false,"usgs":true,"family":"Simpson","given":"Annie","email":"asimpson@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":484743,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tessler, Steven stessler@usgs.gov","contributorId":3772,"corporation":false,"usgs":true,"family":"Tessler","given":"Steven","email":"stessler@usgs.gov","affiliations":[],"preferred":true,"id":484744,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70048466,"text":"sir20135164 - 2013 - Anatomical and genetic variation of western <i>Oxyloma</i> (Pulmonata: Succineidae) concerning the endangered Kanab ambersnail (<i>Oxyloma haydeni kanabense</i>) in Arizona and Utah","interactions":[],"lastModifiedDate":"2013-09-27T14:05:35","indexId":"sir20135164","displayToPublicDate":"2013-09-27T13:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5164","title":"Anatomical and genetic variation of western <i>Oxyloma</i> (Pulmonata: Succineidae) concerning the endangered Kanab ambersnail (<i>Oxyloma haydeni kanabense</i>) in Arizona and Utah","docAbstract":"The land snail genus Oxyloma (Pulmonata: Succineidae) includes the Federally endangered Kanab ambersnail (Oxyloma haydeni kanabense Pilsbry), which is known at the time of this study from only two locations in the United States: Three Lakes, Utah, and Vaseys Paradise, Arizona, on the Colorado River in Grand Canyon National Park. Since 1994, the Kanab ambersnail has received much attention because its presence at Vaseys Paradise has implications for the ecosystem-wide management of the Colorado River. This attention is primarily because an experimental high-flow release of water from Glen Canyon Dam in 1996 destroyed or degraded Kanab ambersnail habitat at Vaseys Paradise. This experimental high flow was designed to replicate natural flow regimes throughout the Grand Canyon river corridor. However, as a result of the habitat destruction at Vaseys Paradise, in 1996, the U.S. Fish and Wildlife Service ruled that no further experimental high-discharge floods could be carried out until additional Kanab ambersnail populations were discovered or established. This mandate created a situation where the management of a single endangered species conflicted directly with the management of an entire ecosystem. Although since 1996, the U.S. Fish and Wildlife Service has permitted the use of flows as high as stage heights equivalent to 44,000 cubic feet per second, higher flows were requested by various Grand Canyon stakeholders and scientists but were not possible owing to low storage of Lake Powell.\n\nAdding to the controversy about Oxyloma and the Kanab ambersnail were previous anatomical and genetic analyses of the genus, which showed that genetic characteristics of specimens did not correspond with their identifications based on traditional taxonomic criteria, raising questions about the validity of the taxonomy of Oxyloma and the protected status of Kanab ambersnails. Specifically, a previous study suggested that the endangered Kanab ambersnail population at Three Lakes was more closely related to other, non-endangered ambersnail populations across the Southwest. In contrast, the Kanab ambersnail population at Vaseys Paradise appeared to be genetically distinct from all other ambersnail populations studied.\n\nManagement options for the ambersnail population at Vaseys Paradise, at the time of this study, conflict with ecosystem-wide measures proposed to benefit other natural resources in the Grand Canyon. The U.S. Fish and Wildlife Service will not revise the 1995 Kanab Ambersnail Recovery Plan until further genetic and anatomical analyses provide more fine-scale taxonomic resolution of the identity of Oxyloma populations on the Colorado Plateau and elsewhere in the American Southwest. Likewise, interagency cooperators cannot revise down-listing criteria for the Kanab ambersnail until substantial evidence is provided identifying distinct Oxyloma taxa or a larger group of conspecifics that reasonably could be managed as one species. Therefore, given the current controversy about the taxonomy of Oxyloma and the endangered Kanab ambersnail, new detailed analyses were completed of morphological and genetic variation from many Oxyloma specimens collected at 12 western North American locations. These new data have allowed us to evaluate many issues related to Kanab ambersnail taxonomy. Using this dataset, the study of shells and anatomy indicates that the holotype of Oxyloma haydeni kanabense plausibly can be regarded as a member of the same species as the populations of Oxyloma analyzed in this study. Additionally, the presence of gene flow among all populations is evidence that they are members of the same species. Almost all the observed genetic diversity can be accounted for by short-distance or long-distance dispersal events between populations in this study. Our major taxonomic conclusion is that all samples collected for this study were drawn from populations of the same species.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135164","usgsCitation":"Culver, M., Herrmann, H., Miller, M., Roth, B., and Sorenson, J., 2013, Anatomical and genetic variation of western <i>Oxyloma</i> (Pulmonata: Succineidae) concerning the endangered Kanab ambersnail (<i>Oxyloma haydeni kanabense</i>) in Arizona and Utah: U.S. Geological Survey Scientific Investigations Report 2013-5164, Report: vii, 65 p.; 3 Appendixes, https://doi.org/10.3133/sir20135164.","productDescription":"Report: vii, 65 p.; 3 Appendixes","numberOfPages":"78","costCenters":[{"id":127,"text":"Arizona Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":278200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135164.jpg"},{"id":278197,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5164/pdf/sir2013-5164_appendixA.pdf"},{"id":278198,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5164/pdf/sir2013-5164_appendixB.pdf"},{"id":278199,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5164/pdf/sir2013-5164_appendixC.pdf"},{"id":278195,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5164/"},{"id":278196,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5164/pdf/sir2013-5164.pdf"}],"projection":"Albers Equal Area Conic","country":"United States","state":"Arizona;Utah","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.0,34.0 ], [ -114.0,39.0 ], [ -117.0,39.0 ], [ -117.0,34.0 ], [ -114.0,34.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52469ad2e4b035b7f35add85","contributors":{"authors":[{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":4327,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false},{"id":127,"text":"Arizona Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":484736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herrmann, Hans-Werner","contributorId":40885,"corporation":false,"usgs":true,"family":"Herrmann","given":"Hans-Werner","email":"","affiliations":[],"preferred":false,"id":484737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Mark","contributorId":93457,"corporation":false,"usgs":true,"family":"Miller","given":"Mark","email":"","affiliations":[],"preferred":false,"id":484740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roth, Barry","contributorId":63298,"corporation":false,"usgs":true,"family":"Roth","given":"Barry","affiliations":[],"preferred":false,"id":484739,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sorenson, Jeff","contributorId":54103,"corporation":false,"usgs":true,"family":"Sorenson","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":484738,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048462,"text":"sim3272 - 2013 - Bathymetry, morphology, and lakebed geologic characteristics of potential Kokanee salmon spawning habitat in Lake Pend Oreille, Bayview and Lakeview quadrangles, Idaho","interactions":[],"lastModifiedDate":"2013-09-27T12:47:00","indexId":"sim3272","displayToPublicDate":"2013-09-27T11:53:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3272","title":"Bathymetry, morphology, and lakebed geologic characteristics of potential Kokanee salmon spawning habitat in Lake Pend Oreille, Bayview and Lakeview quadrangles, Idaho","docAbstract":"Kokanee salmon (Oncorhynchus nerka) are a keystone species in Lake Pend Oreille in northern Idaho, historically \nsupporting a high-yield recreational fishery and serving as the primary prey for the threatened native bull trout (Salvelinus \nconfluentus) and the Gerrard-strain rainbow trout (Oncorhynchus mykiss). After 1965, the kokanee population rapidly declined \nand has remained at a low level of abundance. Lake Pend Oreille is one of the deepest lakes in the United States, the largest lake \nin Idaho, and home to the U.S. Navy Acoustic Research Detachment Base. The U.S. Geological Survey and Idaho Department \nof Fish and Game are mapping the bathymetry, morphology, and the lakebed geologic units and embeddedness of potential \nkokanee salmon spawning habitat in Lake Pend Oreille. Relations between lake morphology, lakebed geologic units, and substrate \nembeddedness are characterized for the shore zone, rise zone, and open water in bays and the main stem of the lake. This detailed \nknowledge of physical habitat along the shoreline of Lake Pend Oreille is necessary to better evaluate and develop kokanee \nrecovery actions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3272","collaboration":"Prepared in cooperation with the Idaho Department of Fish and Game","usgsCitation":"Barton, G., and Dux, A., 2013, Bathymetry, morphology, and lakebed geologic characteristics of potential Kokanee salmon spawning habitat in Lake Pend Oreille, Bayview and Lakeview quadrangles, Idaho: U.S. Geological Survey Scientific Investigations Map 3272, 48 inches x 36 inches, https://doi.org/10.3133/sim3272.","productDescription":"48 inches x 36 inches","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":278192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3272.jpg"},{"id":278190,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3272/pdf/sim3272.pdf"},{"id":278191,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3272/"}],"country":"United States","state":"Idaho","otherGeospatial":"Bayview;Lake Pend Oreille","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.654823,47.908038 ], [ -116.654823,48.052408 ], [ -116.387901,48.052408 ], [ -116.387901,47.908038 ], [ -116.654823,47.908038 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52469aeee4b035b7f35add88","contributors":{"authors":[{"text":"Barton, Gary J. gbarton@usgs.gov","contributorId":1147,"corporation":false,"usgs":true,"family":"Barton","given":"Gary J.","email":"gbarton@usgs.gov","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dux, Andrew M.","contributorId":73491,"corporation":false,"usgs":true,"family":"Dux","given":"Andrew M.","affiliations":[],"preferred":false,"id":484727,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048458,"text":"sim3258 - 2013 - Geologic map of Chickasaw National Recreation Area, Murray County, Oklahoma","interactions":[],"lastModifiedDate":"2013-09-26T16:29:48","indexId":"sim3258","displayToPublicDate":"2013-09-26T16:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3258","title":"Geologic map of Chickasaw National Recreation Area, Murray County, Oklahoma","docAbstract":"This 1:24,000-scale geologic map is a compilation of previous geologic maps and new geologic mapping of areas in and around Chickasaw National Recreation Area. The geologic map includes revisions of numerous unit contacts and faults and a number of previously “undifferentiated” rock units were subdivided in some areas. Numerous circular-shaped hills in and around Chickasaw National Recreation Area are probably the result of karst-related collapse and may represent the erosional remnants of large, exhumed sinkholes.\n\nGeospatial registration of existing, smaller scale (1:72,000- and 1:100,000-scale) geologic maps of the area and construction of an accurate Geographic Information System (GIS) database preceded 2 years of fieldwork wherein previously mapped geology (unit contacts and faults) was verified and new geologic mapping was carried out. The geologic map of Chickasaw National Recreation Area and this pamphlet include information pertaining to how the geologic units and structural features in the map area relate to the formation of the northern Arbuckle Mountains and its Arbuckle-Simpson aquifer. The development of an accurate geospatial GIS database and the use of a handheld computer in the field greatly increased both the accuracy and efficiency in producing the 1:24,000-scale geologic map.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3258","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Blome, C.D., Lidke, D.J., Wahl, R., and Golab, J., 2013, Geologic map of Chickasaw National Recreation Area, Murray County, Oklahoma: U.S. Geological Survey Scientific Investigations Map 3258, Report: iv, 28 p.; 1 Plate: 42.0 x 40.0 inches; Downloads Directory, https://doi.org/10.3133/sim3258.","productDescription":"Report: iv, 28 p.; 1 Plate: 42.0 x 40.0 inches; Downloads Directory","numberOfPages":"36","onlineOnly":"Y","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":278163,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3258/pdf/SIM3258_pamphlet.pdf"},{"id":278164,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3258/pdf/SIM3258_map.pdf"},{"id":278165,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3258/downloads/"},{"id":278162,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3258/"},{"id":278166,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3258.gif"}],"scale":"24000","projection":"Universal Transverse Mercator, zone 14","datum":"North American Datum of 1983","country":"United States","state":"Oklahoma","county":"Murray County","otherGeospatial":"Chicksaw National Recreation Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.083333,34.383333 ], [ -97.083333,34.533333 ], [ -96.9,34.533333 ], [ -96.9,34.383333 ], [ -97.083333,34.383333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52454a25e4b0b3d37307e150","contributors":{"authors":[{"text":"Blome, Charles D. 0000-0002-3449-9378 cblome@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-9378","contributorId":1246,"corporation":false,"usgs":true,"family":"Blome","given":"Charles","email":"cblome@usgs.gov","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":484703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lidke, David J. 0000-0003-4668-1617 dlidke@usgs.gov","orcid":"https://orcid.org/0000-0003-4668-1617","contributorId":1211,"corporation":false,"usgs":true,"family":"Lidke","given":"David","email":"dlidke@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":484702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wahl, Ronald R.","contributorId":7332,"corporation":false,"usgs":true,"family":"Wahl","given":"Ronald R.","affiliations":[],"preferred":false,"id":484704,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Golab, James A.","contributorId":95374,"corporation":false,"usgs":true,"family":"Golab","given":"James A.","affiliations":[],"preferred":false,"id":484705,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048440,"text":"ofr20131222 - 2013 - Design tradeoffs for trend assessment in aquatic biological monitoring programs","interactions":[],"lastModifiedDate":"2013-09-26T12:57:25","indexId":"ofr20131222","displayToPublicDate":"2013-09-26T11:50:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1222","title":"Design tradeoffs for trend assessment in aquatic biological monitoring programs","docAbstract":"Assessments of long-term (multiyear) temporal trends in biological monitoring programs are generally undertaken without an adequate understanding of the temporal variability of biological communities. When the sources and levels of variability are unknown, managers cannot make informed choices in sampling design to achieve monitoring goals in a cost-effective manner. We evaluated different trend sampling designs by estimating components of both short- and long-term variability in biological indicators of water quality in streams. Invertebrate samples were collected from 32 sites—9 urban, 6 agricultural, and 17 relatively undisturbed (reference) streams—distributed throughout the United States. Between 5 and 12 yearly samples were collected at each site during the period 1993–2008, plus 2 samples within a 10-week index period during either 2007 or 2008. These data allowed calculation of four sources of variance for invertebrate indicators: among sites, among years within sites, interaction among sites and years (site-specific annual variation), and among samples collected within an index period at a site (residual). When estimates of these variance components are known, changes to sampling design can be made to improve trend detection. Design modifications that result in the ability to detect the smallest trend with the fewest samples are, from most to least effective: (1) increasing the number of years in the sampling period (duration of the monitoring program), (2) decreasing the interval between samples, and (3) increasing the number of repeat-visit samples per year (within an index period). This order of improvement in trend detection, which achieves the greatest gain for the fewest samples, is the same whether trends are assessed at an individual site or an average trend of multiple sites. In multiple-site surveys, increasing the number of sites has an effect similar to that of decreasing the sampling interval; the benefit of adding sites is greater when a new set of different sites is selected for each sampling effort than when the same sites are sampled each time. Understanding variance components of the ecological attributes of interest can lead to more cost-effective monitoring designs to detect trends.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131222","collaboration":"National Water-Quality Assessment Program; Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Gurtz, M.E., Van Sickle, J., Carlisle, D.M., and Paulsen, S., 2013, Design tradeoffs for trend assessment in aquatic biological monitoring programs: U.S. Geological Survey Open-File Report 2013-1222, v, 17 p., https://doi.org/10.3133/ofr20131222.","productDescription":"v, 17 p.","numberOfPages":"27","onlineOnly":"Y","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":278142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131222.gif"},{"id":278140,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1222/"},{"id":278141,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1222/pdf/ofr2013-1222.pdf"}],"country":"United States","state":"Alabama;Arizona;Arkansas;California;Colorado;Georgia;Idaho;Indiana;Massachusetts;Michigan;New Jersey;North Carolina;Pennsylvania;Ohio;Oregon;Texas;Utah;Virginia;Washington;Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52454a24e4b0b3d37307e14d","contributors":{"authors":[{"text":"Gurtz, Martin E. megurtz@usgs.gov","contributorId":2987,"corporation":false,"usgs":true,"family":"Gurtz","given":"Martin","email":"megurtz@usgs.gov","middleInitial":"E.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":484655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Sickle, John","contributorId":72698,"corporation":false,"usgs":true,"family":"Van Sickle","given":"John","email":"","affiliations":[],"preferred":false,"id":484657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":484654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paulsen, Steven G.","contributorId":23837,"corporation":false,"usgs":true,"family":"Paulsen","given":"Steven G.","affiliations":[],"preferred":false,"id":484656,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048439,"text":"sir20135053 - 2013 - Status and understanding of groundwater quality in the South Coast Range-Coastal study unit, 2008: California GAMA Priority Basin Project","interactions":[],"lastModifiedDate":"2013-10-30T11:15:23","indexId":"sir20135053","displayToPublicDate":"2013-09-26T11:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5053","title":"Status and understanding of groundwater quality in the South Coast Range-Coastal study unit, 2008: California GAMA Priority Basin Project","docAbstract":"<p>Groundwater quality in the South Coast Range–Coastal (SCRC) study unit was investigated from May through November 2008 as part of the Priority Basin Project of the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The study unit is located in the Southern Coast Range hydrologic province and includes parts of Santa Barbara and San Luis Obispo Counties. The GAMA Priority Basin Project is conducted by the U.S. Geological Survey (USGS) in collaboration with the California State Water Resources Control Board and the Lawrence Livermore National Laboratory.</p> \n<br/>\n<p>The GAMA Priority Basin Project was designed to provide a statistically unbiased, spatially distributed assessment of untreated groundwater quality within the primary aquifer system. The primary aquifer system is defined as that part of the aquifer corresponding to the perforation interval of wells listed in the California Department of Public Health (CDPH) database for the SCRC study unit.</p> \n<br/>\n<p>The assessments for the SCRC study unit were based on water-quality and ancillary data collected in 2008 by the USGS from 55 wells on a spatially distributed grid, and water-quality data from the CDPH database. Two types of assessments were made: (1) status, assessment of the current quality of the groundwater resource, and (2) understanding, identification of the natural and human factors affecting groundwater quality. Water-quality and ancillary data were collected from an additional 15 wells for the understanding assessment. The assessments characterize untreated groundwater quality, not the quality of treated drinking water delivered to consumers by water purveyors.</p> \n<br/>\n<p>The first component of this study, the status assessment of groundwater quality, used data from samples analyzed for anthropogenic constituents such as volatile organic compounds (VOCs) and pesticides, as well as naturally occurring inorganic constituents such as major ions and trace elements. Although the status assessment applies to untreated groundwater, Federal and California regulatory and non-regulatory water-quality benchmarks that apply to drinking water are used to provide context for the results. Relative-concentrations (sample concentration divided by benchmark concentration) were used for evaluating groundwater. A relative-concentration greater than (>) 1.0 indicates a concentration greater than the benchmark and is classified as high. Inorganic constituents are classified as moderate if relative-concentrations are >0.5 and less than or equal to (≤) 1.0, or low if relative-concentrations are ≤0.5. For organic constituents, the boundary between moderate and low relative-concentrations was set at 0.1.</p> \n<br/>\n<p>Aquifer-scale proportion was used in the status assessment as the primary metric for evaluating regional-scale groundwater quality. High aquifer-scale proportion is defined as the areal percentage of the primary aquifer system with a high relative-concentration for a particular constituent or class of constituents. Moderate and low aquifer-scale proportions were defined as the areal percentage of the primary aquifer system with moderate and low relative-concentrations, respectively. Two statistical approaches—grid-based and spatially weighted—were used to evaluate aquifer-scale proportions for individual constituents and classes of constituents. Grid-based and spatially weighted estimates were comparable for the study (within 90 percent confidence intervals).</p> \n<br/>\n<p>For inorganic constituents with human-health benchmarks, relative-concentrations were high for at least one constituent for 33 percent of the primary aquifer system in the SCRC study unit. Arsenic, molybdenum, and nitrate were the primary inorganic constituents with human-health benchmarks that were detected at high relative-concentrations. Inorganic constituents with aesthetic benchmarks, referred to as secondary maximum contaminant levels (SMCLs), had high relative-concentrations for 35 percent of the primary aquifer system. Iron, manganese, total dissolved solids (TDS), and sulfate were the inorganic constituents with SMCLs detected at high relative-concentrations.</p> \n<br/>\n<p>In contrast to inorganic constituents, organic constituents with human-health benchmarks were not detected at high relative-concentrations in the primary aquifer system in the SCRC study unit. Of the 205 organic constituents analyzed, 21 were detected—13 with human-health benchmarks. Perchloroethene (PCE) was the only VOC detected at moderate relative-concentrations. PCE, dichlorodifluoromethane (CFC-12), and chloroform were detected in more than 10 percent of the primary aquifer system. Of the two special-interest constituents, one was detected; perchlorate, which has a human-health benchmark, was detected at moderate relative-concentrations in 29 percent of the primary aquifer system and had a detection frequency of 60 percent in the SCRC study unit.</p> \n<br/>\n<p>The second component of this study, the understanding assessment, identified the natural and human factors that may have affected groundwater quality in the SCRC study unit by evaluating statistical correlations between water-quality constituents and potential explanatory factors. The potential explanatory factors evaluated were land use, septic tank density, well depth and depth to top-of-perforations, groundwater age, density and distance to the nearest formerly leaking underground fuel tank (LUFT), pH, and dissolved oxygen (DO) concentration. Results of the statistical evaluations were used to explain the occurrence and distribution of constituents in the study unit.</p> \n<br/>\n<p>DO was the primary explanatory factor influencing the concentrations of many inorganic constituents. Arsenic, iron, and manganese concentrations increased as DO concentrations decreased, consistent with patterns expected as a result of reductive dissolution of iron and (or) manganese oxides in aquifer sediments. Molybdenum concentrations increased in anoxic conditions and in oxic conditions with high pH, reflecting two mechanisms for the mobilization of molybdenum—reductive dissolution and pH-dependent desorption under oxic conditions from aquifer sediments. Nitrate concentrations decreased as DO concentrations decreased which would be consistent with degradation of nitrate under anoxic conditions (denitrification). It also is possible that nitrate concentrations decreased in relation to increasing depth and groundwater age and not as a result of denitrification.</p> \n<br/>\n<p>Groundwater age was another explanatory factor frequently correlated to several inorganic constituents. Iron and manganese concentrations were higher in pre-modern (water recharged before 1952) or mixed-age groundwater. This correlation is one indication that iron and manganese are from natural sources. Nitrate, TDS, and sulfate concentrations were higher in modern groundwater (water recharged since 1952) and may indicate that human activities increase concentrations of nitrate, TDS, and sulfate.</p> \n<br/>\n<p>Land use was a third explanatory factor frequently correlated with inorganic constituents. Nitrate, TDS, and sulfate concentrations were higher in agricultural land-use areas than in natural land-use areas, indicating that increased concentrations may be a result of agricultural practices.</p> \n<br/>\n<p>Organic constituents usually were detected at low relative-concentrations; therefore, statistical analyses of relations to explanatory factors usually were done for classes of constituents (for example, pesticides or solvents) as well as for selected constituents. The number of VOCs detected in a well was not correlated to any of the explanatory factors evaluated. The number of pesticide and solvent detections and PCE and CFC-12 concentrations were higher in modern groundwater than in pre-modern groundwater. PCE and CFC-12 also were positively correlated to the density of LUFTs. PCE was negatively correlated to natural land use. Chloroform concentrations were positively correlated to the density of septic systems.</p>\n<br/>\n<p>Perchlorate concentrations were greater in agricultural areas than in urban or natural areas. Correlation of perchlorate with DO may indicate that perchlorate biodegradation under anoxic conditions may occur. Anthropogenic sources have contributed perchlorate to groundwater in the SCRC study unit, although low levels of perchlorate may occur naturally.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135053","collaboration":"A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program, Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Burton, C., Land, M., and Belitz, K., 2013, Status and understanding of groundwater quality in the South Coast Range-Coastal study unit, 2008: California GAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2013-5053, ix, 86 p., https://doi.org/10.3133/sir20135053.","productDescription":"ix, 86 p.","numberOfPages":"100","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":278137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135053.jpg"},{"id":278135,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5053/"},{"id":278136,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5053/pdf/sir2013-5053.pdf"}],"projection":"Albers Equal Area Conic Projection","country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01611111111111111,8.333333333333334E-4 ], [ -0.01611111111111111,0.0011111111111111111 ], [ -0.01638888888888889,0.0011111111111111111 ], [ -0.01638888888888889,8.333333333333334E-4 ], [ -0.01611111111111111,8.333333333333334E-4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52454a27e4b0b3d37307e15f","contributors":{"authors":[{"text":"Burton, Carmen A. 0000-0002-6381-8833","orcid":"https://orcid.org/0000-0002-6381-8833","contributorId":41793,"corporation":false,"usgs":true,"family":"Burton","given":"Carmen A.","affiliations":[],"preferred":false,"id":484653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Land, Michael 0000-0001-5141-0307 mtland@usgs.gov","orcid":"https://orcid.org/0000-0001-5141-0307","contributorId":1479,"corporation":false,"usgs":true,"family":"Land","given":"Michael","email":"mtland@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":484652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484651,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048438,"text":"fs20133061 - 2013 - Water resources of Assumption Parish, Louisiana","interactions":[],"lastModifiedDate":"2013-09-26T11:44:17","indexId":"fs20133061","displayToPublicDate":"2013-09-26T11:38:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3061","title":"Water resources of Assumption Parish, Louisiana","docAbstract":"Information concerning the availability, use, and quality of water in Assumption Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for management of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System (http://waterdata.usgs.gov/nwis) are the primary sources of the information presented here. In 2010, about 21.4 million gallons per day (Mgal/d) of water were withdrawn in Assumption Parish, including about 12.4 Mgal/d from surface-water sources and 9.03 Mgal/d from groundwater sources. Withdrawals for industrial use accounted for about 16.4 Mgal/d or 76 percent of the total water withdrawn. Other categories of use included public supply, rural domestic, livestock, general irrigation, and aquaculture.Water-use data collected at 5-year intervals from 1960 to 2010 indicated that water withdrawals peaked in 2000 at about 29.7 Mgal/d.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133061","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Prakken, L., and Lovelace, J.K., 2013, Water resources of Assumption Parish, Louisiana: U.S. Geological Survey Fact Sheet 2013-3061, 5 p., https://doi.org/10.3133/fs20133061.","productDescription":"5 p.","numberOfPages":"5","onlineOnly":"N","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":278134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133061.gif"},{"id":278132,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3061/"},{"id":278133,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3061/pdf/FS13-3061.pdf"}],"country":"United States","state":"Louisiana","otherGeospatial":"Assumption Parish","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.260338,29.626211 ], [ -91.260338,30.081902 ], [ -90.885307,30.081902 ], [ -90.885307,29.626211 ], [ -91.260338,29.626211 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52454a27e4b0b3d37307e165","contributors":{"authors":[{"text":"Prakken, Lawrence B.","contributorId":73978,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence B.","affiliations":[],"preferred":false,"id":484650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovelace, John K. 0000-0002-8532-2599 jlovelac@usgs.gov","orcid":"https://orcid.org/0000-0002-8532-2599","contributorId":999,"corporation":false,"usgs":true,"family":"Lovelace","given":"John","email":"jlovelac@usgs.gov","middleInitial":"K.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484649,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048436,"text":"fs20133015 - 2013 - Groundwater quality in the South Coast Range Coastal groundwater basins, California","interactions":[],"lastModifiedDate":"2013-09-26T11:39:13","indexId":"fs20133015","displayToPublicDate":"2013-09-26T11:32:17","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3015","title":"Groundwater quality in the South Coast Range Coastal groundwater basins, California","docAbstract":"Groundwater provides more than 40 percent of California’s drinking water. To protect this vital resource, the State of California created the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The Priority Basin Project (PBP) of the GAMA Program provides a comprehensive assessment of the State’s untreated groundwater quality and increases public access to groundwater-quality information. The coastal basins in the Southern Coast Ranges constitute one of the study units being evaluated.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133015","collaboration":"U.S. Geological Survey and the California State Water Resources Control Board","usgsCitation":"Burton, C., and Belitz, K., 2013, Groundwater quality in the South Coast Range Coastal groundwater basins, California: U.S. Geological Survey Fact Sheet 2013-3015, 4 p., https://doi.org/10.3133/fs20133015.","productDescription":"4 p.","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":278131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133015.jpg"},{"id":278130,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/sir/2013/5053"},{"id":278128,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3015/"},{"id":278129,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3015/pdf/fs2013-3015.pdf"}],"country":"United States","state":"California","county":"Santa Barbara County;San Luis Obispo County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121,34.5 ], [ -121,35.5 ], [ -120.5,35.5 ], [ -120.5,34.5 ], [ -121,34.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52454a25e4b0b3d37307e153","contributors":{"authors":[{"text":"Burton, Carmen A. 0000-0002-6381-8833","orcid":"https://orcid.org/0000-0002-6381-8833","contributorId":41793,"corporation":false,"usgs":true,"family":"Burton","given":"Carmen A.","affiliations":[],"preferred":false,"id":484648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":484647,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048435,"text":"sir20135105 - 2013 - American white pelicans breeding in the northern plains: productivity, behavior, movements, and migration","interactions":[],"lastModifiedDate":"2018-01-05T11:42:39","indexId":"sir20135105","displayToPublicDate":"2013-09-26T11:23:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5105","title":"American white pelicans breeding in the northern plains: productivity, behavior, movements, and migration","docAbstract":"Nearly half of American white pelicans (Pelecanus erythrorhynchos; hereafter pelicans) are believed to nest in several large colonies in the northern plains, yet few studies had been conducted on pelicans in this region until research began in 2004 to investigate the impact of West Nile virus (WNV) on their chicks. The work reported here focused on two of the largest colonies in the region, at Bitter Lake, South Dakota, and Chase Lake, North Dakota, during 2005–10.\n\nPelicans usually began arriving at these two breeding colonies in early April. Egg-laying began during mid-April and nest initiations continued through May. The number of nests documented at these colonies reached a high of about 15,400 at Bitter Lake and 17,300 at Chase Lake, both in 2006.\n\nDuring 2006–8, annual variation in hatching success was high (40 to 100 percent) at video-monitored nests, averaging 61 percent for 82 nests at Bitter Lake and 57 percent for 88 nests at Chase Lake. Although most nests contained two eggs, of those where two chicks hatched, both chicks survived to the crèche stage (about 15 days old) at only two nests. Severe weather events, disturbance, and siblicide were documented causes of early season (before mid-July) mortalities. In the late season (mid-July to fledging), WNV was the most important factor contributing to chick mortality.\n\nNests were nearly always attended by one adult during incubation and brooding. Adults typically exchanged places at the nest around mid-day in all 3 years, apparently taking advantage of thermals to gain altitude for travel to and from foraging areas. The mean time of exchange differed by about an hour between Bitter Lake (1328 central standard time, CST) and Chase Lake (1434 CST) colonies. During incubation, nearly 3 days often passed between adult nest exchanges; after chicks hatched, exchanges usually occurred daily. Exchanges were more frequent and chicks were fed more often at successful nests than at failed nests.\n\nAdult pelicans with satellite transmitters that incorporated a Global Positioning System (GPS) foraged primarily in shallow areas of lakes and semipermanent wetlands. These areas coincide with typical habitats of crayfish, salamanders, and rough fish, which were also the foods most commonly seen in pelican regurgitates at the colonies. Several satellite-tracked pelicans made frequent round trips between their breeding colony and foraging areas, most likely to provision their chicks. Typical distances travelled to foraging sites ranged from 30 kilometers to over 90 kilometers. Return times to the colonies (about 1300 and 1500 CST at Bitter Lake and Chase Lake, respectively) supported the colony difference documented at video-monitored nests.\n\nOf 28 pelicans tagged with GPS satellite transmitters in 2005–6, 26 survived the first summer and migrated south during fall. Nineteen of these returned to the breeding region (defined as north of the latitude of South Dakota’s southern border) in at least 1 year during 2006–9; collectively, they returned to the breeding region 33 times. Very few pelicans returned to the colony where they had been tagged; many did not breed and concentrated their activities at wetland complexes in South Dakota and North Dakota, but few tagged pelicans temporally overlapped at specific sites. During 2005–9, tagged pelicans collectively made 56 migratory trips south in the fall. Most wintered in Mexico, near the gulf coast and elsewhere; others wintered in Texas, Louisiana, Mississippi, and Florida. Individuals typically returned to the same general areas each winter. Individuals rarely followed the same migratory path on their way south and north, but they often roughly repeated southerly or northerly routes among years.\n\nEnsuring a sustainable population of American white pelicans requires identification and mitigation of known threats. The work described herein has identified WNV and severe weather as important factors that potentially limit reproductive success and recruitment in the northern plains. Managers in this region could assess the influence of such factors on productivity at key colonies by annually obtaining aerial photographs during peak nesting, and estimating numbers of chicks fledged from aerial photographs or ground counts. Banding a subsample of chicks in late June or early July, followed by a sweep for bands at the end of the season, would allow estimation of mortality rates of older chicks (that normally would fledge) and help track the influence of WNV or other mortality factors over time and varying environmental conditions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135105","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service; South Dakota Department of Game, Fish, and Parks; and the North Dakota Department of Game and Fish","usgsCitation":"Sovada, M.A., Pietz, P., Woodward, R.O., Bartos, A.J., Buhl, D., and Assenmacher, M.J., 2013, American white pelicans breeding in the northern plains: productivity, behavior, movements, and migration: U.S. Geological Survey Scientific Investigations Report 2013-5105, viii, 117 p., https://doi.org/10.3133/sir20135105.","productDescription":"viii, 117 p.","onlineOnly":"Y","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":278127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135105.gif"},{"id":278125,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5105/"},{"id":278126,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5105/pdf/sir2013-5105.pdf"}],"country":"United States","state":"North Dakota;South Dakota","otherGeospatial":"Bitter Lake;Chase Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.25,40.0 ], [ -105.25,50.0 ], [ -95.0,50.0 ], [ -95.0,40.0 ], [ -105.25,40.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52454a02e4b0b3d37307e147","contributors":{"authors":[{"text":"Sovada, Marsha A. msovada@usgs.gov","contributorId":2601,"corporation":false,"usgs":true,"family":"Sovada","given":"Marsha","email":"msovada@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":484642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pietz, Pamela J. ppietz@usgs.gov","contributorId":2382,"corporation":false,"usgs":true,"family":"Pietz","given":"Pamela J.","email":"ppietz@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":484641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodward, Robert O. rwoodward@usgs.gov","contributorId":4259,"corporation":false,"usgs":true,"family":"Woodward","given":"Robert","email":"rwoodward@usgs.gov","middleInitial":"O.","affiliations":[],"preferred":true,"id":484643,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartos, Alisa J. abartos@usgs.gov","contributorId":5177,"corporation":false,"usgs":true,"family":"Bartos","given":"Alisa","email":"abartos@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":484644,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buhl, Deborah A. 0000-0002-8563-5990","orcid":"https://orcid.org/0000-0002-8563-5990","contributorId":26250,"corporation":false,"usgs":true,"family":"Buhl","given":"Deborah A.","affiliations":[],"preferred":false,"id":484646,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Assenmacher, Michael J.","contributorId":20641,"corporation":false,"usgs":true,"family":"Assenmacher","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484645,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048430,"text":"ofr20131155 - 2013 - Meeting of the Central and Eastern U.S. (CEUS) Earthquake Hazards Program October 28–29, 2009","interactions":[],"lastModifiedDate":"2013-09-26T10:52:07","indexId":"ofr20131155","displayToPublicDate":"2013-09-26T10:42:57","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1155","title":"Meeting of the Central and Eastern U.S. (CEUS) Earthquake Hazards Program October 28–29, 2009","docAbstract":"On October 28th and 29th, 2009, the U.S. Geological Survey Earthquake Hazards Program held a meeting of Central and Eastern United States investigators and interested parties in Memphis, Tennessee. The purpose of the meeting was to bring together the Central and Eastern United States earthquake-hazards community to present and discuss recent research results, to promote communication and collaboration, to garner input regarding future research priorities, to inform the community about research opportunities afforded by the 2010–2012 arrival of EarthScope/USArray in the central United States, and to discuss plans for the upcoming bicentennial of the 1811–1812 New Madrid earthquakes. The two-day meeting included several keynote speakers, oral and poster presentations by attendees, and breakout sessions. The meeting is summarized in this report and can be subdivided into four primary sections: (1) summaries of breakout discussion groups; (2) list of meeting participants; (3) submitted abstracts; and (4) slide presentations. The abstracts and slides are included “as submitted” by the meeting participants and have not been subject to any formal peer review process; information contained in these sections reflects the opinions of the presenter at the time of the meeting and does not constitute endorsement by the U.S. Geological Survey.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131155","collaboration":"Fogelman Conference Center, University of Memphis, Memphis, Tennessee","usgsCitation":"Tuttle, M., Boyd, O., and McCallister, N., 2013, Meeting of the Central and Eastern U.S. (CEUS) Earthquake Hazards Program October 28–29, 2009: U.S. Geological Survey Open-File Report 2013-1155, Report: viii, 74 p.; CEUS Workshop Report Slides, https://doi.org/10.3133/ofr20131155.","productDescription":"Report: viii, 74 p.; CEUS Workshop Report Slides","numberOfPages":"82","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":278121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131155.gif"},{"id":278120,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1155/downloads/"},{"id":278118,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1155/"},{"id":278119,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1155/pdf/OF13-1155.pdf"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52454a26e4b0b3d37307e159","contributors":{"authors":[{"text":"Tuttle, Martitia","contributorId":97415,"corporation":false,"usgs":true,"family":"Tuttle","given":"Martitia","affiliations":[],"preferred":false,"id":484628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyd, Oliver","contributorId":43095,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","affiliations":[],"preferred":false,"id":484626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCallister, Natasha","contributorId":89268,"corporation":false,"usgs":true,"family":"McCallister","given":"Natasha","affiliations":[],"preferred":false,"id":484627,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048410,"text":"fs20133082 - 2013 - Natural Hazards Science at the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2019-07-10T14:13:09","indexId":"fs20133082","displayToPublicDate":"2013-09-26T09:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3082","title":"Natural Hazards Science at the U.S. Geological Survey","docAbstract":"The mission of the USGS in natural hazards is to develop and apply hazard science to help protect the safety, security, and economic well-being of the Nation. The costs and consequences of natural hazards can be enormous, and each year more people and infrastructure are at risk. The USGS conducts hazard research and works closely with stakeholders and cooperators to inform a broad range of planning and response activities at individual, local, State, national, and international levels. It has critical statutory and nonstatutory roles regarding floods, earthquakes, tsunamis, landslides, coastal erosion, volcanic eruptions, wildfires, and magnetic storms. USGS science can help to understand and reduce risks from natural hazards by providing the information that decisionmakers need to determine which risk management activities are worth­while.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133082","usgsCitation":"Perry, S.C., Jones, L.M., and Holmes, R.R., 2013, Natural Hazards Science at the U.S. Geological Survey: U.S. Geological Survey Fact Sheet 2013-3082, 2 p., https://doi.org/10.3133/fs20133082.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-049339","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":278111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133082.jpg"},{"id":278110,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3082/pdf/fs2013-3082.pdf"},{"id":278100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3082/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52454a26e4b0b3d37307e15c","contributors":{"authors":[{"text":"Perry, Suzanne C. 0000-0002-6370-4326 scperry@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-4326","contributorId":5227,"corporation":false,"usgs":true,"family":"Perry","given":"Suzanne","email":"scperry@usgs.gov","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":484559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Lucile M. jones@usgs.gov","contributorId":1014,"corporation":false,"usgs":true,"family":"Jones","given":"Lucile","email":"jones@usgs.gov","middleInitial":"M.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":484557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":1624,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":484558,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048418,"text":"ofr20131238 - 2013 - The U.S. Geological Survey Bird Banding Laboratory: an integrated scientific program supporting research and conservation of North American birds","interactions":[],"lastModifiedDate":"2024-03-04T19:06:46.502308","indexId":"ofr20131238","displayToPublicDate":"2013-09-26T09:25:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1238","title":"The U.S. Geological Survey Bird Banding Laboratory: an integrated scientific program supporting research and conservation of North American birds","docAbstract":"The U.S. Geological Survey (USGS) Bird Banding Laboratory (BBL) was established in 1920 after ratification of the Migratory Bird Treaty Act with the United Kingdom in 1918. During World War II, the BBL was moved from Washington, D.C., to what is now the USGS Patuxent Wildlife Research Center (PWRC). The BBL issues permits and bands to permittees to band birds, records bird band recoveries or encounters primarily through telephone and Internet reporting, and manages more than 72 million banding records and more than 4.5 million records of encounters using state-of-the-art technologies. Moreover, the BBL also issues bands and manages banding and encounter data for the Canadian Bird Banding Office (BBO). Each year approximately 1 million bands are shipped from the BBL to banders in the United States and Canada, and nearly 100,000 encounter reports are entered into the BBL systems. Banding data are essential for regulatory programs, especially migratory waterfowl harvest regulations.\n\nThe USGS BBL works closely with the U.S. Fish and Wildlife Service (USFWS) to develop regulations for the capture, handling, banding, and marking of birds. These regulations are published in the Code of Federal Regulations (CFR). In 2006, the BBL and the USFWS Division of Migratory Bird Management (DMBM) began a comprehensive revision of the banding regulations.\n\nThe bird banding community has three major constituencies: Federal and State agency personnel involved in the management and conservation of bird populations that include the Flyway Councils, ornithological research scientists, and avocational banders.\n\nWith increased demand for banding activities and relatively constant funding, a Federal Advisory Committee (Committee) was chartered and reviewed the BBL program in 2005. The final report of the Committee included six major goals and 58 specific recommendations, 47 of which have been addressed by the BBL. Specifically, the Committee recommended the BBL continue to support science, conservation, and management of birds through the use of banding and banding data and that the BBL be managed by the USGS and located at the USGS Patuxent Wildlife Research Center (PWRC) in Laurel, Maryland. Recommendations that have not been implemented include those already addressed by other organizations, as well as lower priority, such as developing a BBL business plan.\n\nThe comprehensive review and recommendations of the Committee, the response of the BBL to address the Committee’s recommendations, and other improvements to its operations have positioned the BBL to provide a high level of service to the banding community. As new technologies are developed and incorporated into BBL operations, further efficiencies are expected to enable the BBL to continue to meet emerging scientific needs.","language":"English","publisher":"U.S. Geological Surey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131238","usgsCitation":"Smith, G.J., 2013, The U.S. Geological Survey Bird Banding Laboratory: an integrated scientific program supporting research and conservation of North American birds: U.S. Geological Survey Open-File Report 2013-1238, iv, 88 p., https://doi.org/10.3133/ofr20131238.","productDescription":"iv, 88 p.","numberOfPages":"96","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":278107,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1238/"},{"id":278109,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131238.jpg"},{"id":278108,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1238/pdf/ofr2013-1238.pdf"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52454a27e4b0b3d37307e162","contributors":{"authors":[{"text":"Smith, Gregory J. gsmith@usgs.gov","contributorId":3436,"corporation":false,"usgs":true,"family":"Smith","given":"Gregory","email":"gsmith@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":484565,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70127139,"text":"70127139 - 2013 - Effects  of stock use and backpackers on water quality in wilderness in Sequoia and Kings Canyon National Parks, USA","interactions":[],"lastModifiedDate":"2014-09-26T09:29:08","indexId":"70127139","displayToPublicDate":"2013-09-26T09:24:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects  of stock use and backpackers on water quality in wilderness in Sequoia and Kings Canyon National Parks, USA","docAbstract":"During 2010-2011, a study was conducted in Sequoia and Kings Canyon National Parks (SEKI) to evaluate the influence of pack animals (stock) and backpackers on water quality in wilderness lakes and streams.  The study had three main components: (1) a synoptic survey of water quality in wilderness areas of the parks, (2) paired water-quality sampling above and below several areas with differing types and amounts of visitor use, and (3) intensive monitoring at six sites to document temporal variations in water quality.  Data from the synoptic water-quality survey indicated that wilderness lakes and streams are dilute and have low nutrient and Escherichia coli (E. coli) concentrations.  The synoptic survey sites were categorized as minimal use, backpacker use, or mixed use (stock and backpackers), depending on the most prevalent type of use upstream from the sampling locations.  Sites with mixed use tended to have higher concentrations of most constituents (including E.coli) than those categorized as minimal-use (p≤0.05); concentrations at backpacker-use sites were intermediate.  Data from paired-site sampling indicated that E.coli, total coliform, and particulate phosphorus concentrations were greater in streams downstream from mixed-use areas than upstream from those areas (p≤0.05).  Paired-site data also indicated few statistically significant differences in nutrient, E. coli, or total coliform concentrations in streams upstream and downstream from backpacker-use areas.  The intensive-monitoring data indicated that nutrient and E. coli concentrations normally were low, except during storms, when notable increases in concentrations of E.coli, nutrients, dissolved organic carbon, and turbidity occurred.  In summary, results from this study indicate that water quality in SEKI wilderness generally is good, except during storms; and visitor use appears to have a small, but statistically significant influence on stream water quality.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00267-013-0166-x","usgsCitation":"Clow, D.W., Forrester, H., Miller, B., Roop, H., Sickman, J.O., Ryu, H., and Santo Domingo, J., 2013, Effects  of stock use and backpackers on water quality in wilderness in Sequoia and Kings Canyon National Parks, USA: Environmental Management, v. 52, no. 6, p. 1400-1414, https://doi.org/10.1007/s00267-013-0166-x.","productDescription":"15 p.","startPage":"1400","endPage":"1414","ipdsId":"IP-049303","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":473522,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.escholarship.org/uc/item/6c1258vp","text":"External Repository"},{"id":294570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294564,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-013-0166-x"}],"country":"United States","otherGeospatial":"Kings Canyon National Park;Sequoia National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.98,36.29 ], [ -118.98,37.24 ], [ -118.23,37.24 ], [ -118.23,36.29 ], [ -118.98,36.29 ] ] ] } } ] }","volume":"52","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-09-27","publicationStatus":"PW","scienceBaseUri":"54268017e4b0bb3382a47652","contributors":{"authors":[{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Forrester, Harrison","contributorId":21084,"corporation":false,"usgs":true,"family":"Forrester","given":"Harrison","affiliations":[],"preferred":false,"id":502296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Benjamin","contributorId":79818,"corporation":false,"usgs":true,"family":"Miller","given":"Benjamin","affiliations":[],"preferred":false,"id":502300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roop, Heidi","contributorId":64581,"corporation":false,"usgs":true,"family":"Roop","given":"Heidi","email":"","affiliations":[],"preferred":false,"id":502299,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sickman, James O.","contributorId":30741,"corporation":false,"usgs":true,"family":"Sickman","given":"James","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":502297,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ryu, Hodon","contributorId":56145,"corporation":false,"usgs":true,"family":"Ryu","given":"Hodon","email":"","affiliations":[],"preferred":false,"id":502298,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Santo Domingo, Jorge","contributorId":20264,"corporation":false,"usgs":true,"family":"Santo Domingo","given":"Jorge","affiliations":[],"preferred":false,"id":502295,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70048451,"text":"70048451 - 2013 - Gonadosomatic index and fecundity of Lower Missouri and Middle Mississippi River endangered pallid sturgeon estimated using minimally invasive techniques","interactions":[],"lastModifiedDate":"2017-05-25T13:50:38","indexId":"70048451","displayToPublicDate":"2013-09-26T08:53:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Gonadosomatic index and fecundity of Lower Missouri and Middle Mississippi River endangered pallid sturgeon estimated using minimally invasive techniques","docAbstract":"<p><span>Minimally invasive, non-lethal methods of ultrasonography were used to assess sex, egg diameter, fecundity, gonad volume, and gonadosomatic index, as well as endoscopy to visually assess the reproductive stage of </span><i>Scaphirhynchus albus</i><span>. Estimated mean egg diameters of 2.202&nbsp;±&nbsp;0.187&nbsp;mm and mean fecundity of 44&nbsp;531&nbsp;±&nbsp;23&nbsp;940 eggs were similar to previous studies using invasive techniques. Mean </span><i>S.&nbsp;albus</i><span> gonadosomatic indices (GSI) for reproductive and non-reproductive females were 16.16 and 1.26%, respectively, while reproductive and non-reproductive male GSI were 2.00 and 0.43%, respectively. There was no relationship between hybrid status or capture location and GSI. Mean fecundity was 48.5% higher than hatchery spawn estimates. Fecundity increased as fork length increased but did so more dramatically in the upper river kilometers of the Missouri River. By examining multiple fish over multiple years, the reproductive cycle periodicity for hatchery female </span><i>S.&nbsp;albus</i><span> was found to be 2–4&nbsp;years and river dwelling males 1–4&nbsp;years. The use of ultrasonic and endoscopic methods in combination was shown to be helpful in tracking individual gonad characteristics over multi-year reproductive cycles.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jai.12231","usgsCitation":"Albers, J., Wildhaber, M., and DeLonay, A., 2013, Gonadosomatic index and fecundity of Lower Missouri and Middle Mississippi River endangered pallid sturgeon estimated using minimally invasive techniques: Journal of Applied Ichthyology, v. 29, no. 5, p. 968-977, https://doi.org/10.1111/jai.12231.","productDescription":"10 p.","startPage":"968","endPage":"977","ipdsId":"IP-037776","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":473523,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.12231","text":"Publisher Index Page"},{"id":278181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278180,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jai.12231"}],"country":"United States","otherGeospatial":"Mississippi River, Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.05,25.84 ], [ -116.05,49.0014 ], [ -89.09,49.0014 ], [ -89.09,25.84 ], [ -116.05,25.84 ] ] ] } } ] }","volume":"29","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-05-21","publicationStatus":"PW","scienceBaseUri":"5246e919e4b035b7f35addd3","contributors":{"authors":[{"text":"Albers, J.L.","contributorId":103990,"corporation":false,"usgs":true,"family":"Albers","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":484694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildhaber, M. L. 0000-0002-6538-9083","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":62961,"corporation":false,"usgs":true,"family":"Wildhaber","given":"M. L.","affiliations":[],"preferred":false,"id":484693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeLonay, A. J. 0000-0002-3752-2799","orcid":"https://orcid.org/0000-0002-3752-2799","contributorId":34246,"corporation":false,"usgs":true,"family":"DeLonay","given":"A. J.","affiliations":[],"preferred":false,"id":484692,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048412,"text":"ofr20131239 - 2013 - An exploration in mineral supply chain mapping using tantalum as an example","interactions":[],"lastModifiedDate":"2013-09-26T08:45:39","indexId":"ofr20131239","displayToPublicDate":"2013-09-26T08:35:20","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1239","title":"An exploration in mineral supply chain mapping using tantalum as an example","docAbstract":"This report uses the supply chain of tantalum (Ta) to investigate the complexity of mineral and metal supply chains in general and show how they can be mapped. A supply chain is made up of all the manufacturers, suppliers, information networks, and so forth, that provide the materials and parts that go into making up a final product. The mineral portion of the supply chain begins with mineral material in the ground (the ore deposit); extends through a series of processes that include mining, beneficiation, processing (smelting and refining), semimanufacture, and manufacture; and continues through transformation of the mineral ore into concentrates, refined mineral commodities, intermediate forms (such as metals and alloys), component parts, and, finally, complex products. This study analyses the supply chain of tantalum beginning with minerals in the ground to many of the final goods that contain tantalum.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131239","usgsCitation":"Soto-Viruet, Y., Menzie, W.D., Papp, J.F., and Yager, T., 2013, An exploration in mineral supply chain mapping using tantalum as an example: U.S. Geological Survey Open-File Report 2013-1239, iv, 51 p., https://doi.org/10.3133/ofr20131239.","productDescription":"iv, 51 p.","numberOfPages":"55","onlineOnly":"Y","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":278106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131239.gif"},{"id":278104,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1239/"},{"id":278105,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1239/pdf/ofr2013-1239.pdf"}],"otherGeospatial":"Earth","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.014444444444444444,-90 ], [ -0.014444444444444444,0.0025 ], [ 0.01888888888888889,0.0025 ], [ 0.01888888888888889,-90 ], [ -0.014444444444444444,-90 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52454a23e4b0b3d37307e14a","contributors":{"authors":[{"text":"Soto-Viruet, Yadira ysoto-viruet@usgs.gov","contributorId":500,"corporation":false,"usgs":true,"family":"Soto-Viruet","given":"Yadira","email":"ysoto-viruet@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":484561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Menzie, W. David","contributorId":15645,"corporation":false,"usgs":true,"family":"Menzie","given":"W.","email":"","middleInitial":"David","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":484563,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Papp, John F. jpapp@usgs.gov","contributorId":2895,"corporation":false,"usgs":true,"family":"Papp","given":"John","email":"jpapp@usgs.gov","middleInitial":"F.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":484562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yager, Thomas R.","contributorId":54681,"corporation":false,"usgs":true,"family":"Yager","given":"Thomas R.","affiliations":[],"preferred":false,"id":484564,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048411,"text":"fs20133079 - 2013 - Is a salinity monitoring network \"Worth its salt\"?","interactions":[],"lastModifiedDate":"2013-09-26T08:29:57","indexId":"fs20133079","displayToPublicDate":"2013-09-26T08:21:38","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3079","title":"Is a salinity monitoring network \"Worth its salt\"?","docAbstract":"Saltwater intrusion threatens the water supplies of many coastal communities. Management of these water supplies requires well-designed and properly maintained and operated salinity monitoring networks. Long-standing deficiencies identified in a salinity monitoring network in southwest Florida during a 2013 study (Prinos, 2013) help to illustrate the types of problems that can occur in aging and poorly maintained networks. This cooperative U.S. Geological Survey (USGS) and South Florida Water Management District (SFWMD) study also describes improvements that can be implemented to overcome these deficiencies.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133079","collaboration":"Prepared in cooperation with the South Florida Water Management District","usgsCitation":"Prinos, S.T., 2013, Is a salinity monitoring network \"Worth its salt\"?: U.S. Geological Survey Fact Sheet 2013-3079, 2 p., https://doi.org/10.3133/fs20133079.","productDescription":"2 p.","onlineOnly":"Y","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":278103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133079.gif"},{"id":278101,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3079/"},{"id":278102,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3079/pdf/fs2013-3079.pdf"}],"country":"United States","state":"Florida","city":"Naples","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -8.033888888888889,25.5 ], [ -8.033888888888889,5.555555555555556E-4 ], [ -81,5.555555555555556E-4 ], [ -81,25.5 ], [ -8.033888888888889,25.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52454a26e4b0b3d37307e156","contributors":{"authors":[{"text":"Prinos, Scott T. 0000-0002-5776-8956 stprinos@usgs.gov","orcid":"https://orcid.org/0000-0002-5776-8956","contributorId":4045,"corporation":false,"usgs":true,"family":"Prinos","given":"Scott","email":"stprinos@usgs.gov","middleInitial":"T.","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true},{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":484560,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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