Although infrequent recruitment of new individuals into the adult spawning populations of Lost River suckers (Deltistes luxatus) and shortnose suckers (Chasmistes brevirostris) limits recovery of these species in Upper Klamath Lake, it is not clear that populations are recruitment limited in Clear Lake Reservoir (hereafter Clear Lake). Specifically, some evidence indicates that shortnose suckers may regularly recruit to the adult spawning population in Clear Lake. Therefore, a study of early life history patterns and recruitment dynamics in Clear Lake may lead to a better understanding of what is limiting recovery of suckers in both lakes. Adult suckers in Clear Lake migrate up Willow Creek and its tributaries to spawn in some years, but low flow in Willow Creek may inhibit spawning migrations in other years. It is unclear whether spawning is successful, larvae survive, or how frequently juveniles persist to adulthood. Environmental variables associated with successful spawning or young-of-year survival have not been identified, and early life history for these populations is poorly understood. The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, initiated a study in 2011 to better understand juvenile sucker life history in Clear Lake, and to identify constraints in the early life history that may limit recruitment to the adult spawning populations. The relative weights of shortnose suckers from Clear Lake and Upper Klamath Lake were compared to examine differences in condition. However, it is unclear whether the disparity in relative weights between the populations reflects differences in condition, phenotype, or both. Approximately 80 percent of juvenile suckers in Clear Lake are shortnose suckers with some morphologic features similar to Klamath largescale suckers (Catostomus snyderi), whereas juvenile suckers in Upper Klamath Lake can be clearly classified as either shortnose or Lost River suckers. The presence of juvenile suckers age-3 and older indicate that production, larval survival, and juvenile survival are at least periodically sufficient to lead to recruitment into the adult population of shortnose suckers in Clear Lake.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131188","usgsCitation":"Burdick, S.M., and Rasmussen, J., 2013, Age and condition of juvenile catostomids in Clear Lake Reservoir, California: U.S. Geological Survey Open-File Report 2013-1188, iv, 20 p., https://doi.org/10.3133/ofr20131188.","productDescription":"iv, 20 p.","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":276561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131188.png"},{"id":276560,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1188/pdf/ofr20131188.pdf","text":"Report","size":"690 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":276559,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1188/"}],"country":"United States","state":"California","otherGeospatial":"Clear Lake Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.229157,41.79319 ], [ -121.229157,41.927007 ], [ -121.06315,41.927007 ], [ -121.06315,41.79319 ], [ -121.229157,41.79319 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5209f5d2e4b0026c2bc11a96","contributors":{"authors":[{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":482464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rasmussen, Josh","contributorId":47634,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Josh","affiliations":[],"preferred":false,"id":482465,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047574,"text":"cir1387 - 2013 - The National Climate Change and Wildlife Science Center annual report for 2012","interactions":[],"lastModifiedDate":"2020-12-10T15:57:06.01095","indexId":"cir1387","displayToPublicDate":"2013-08-12T13:54:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1387","title":"The National Climate Change and Wildlife Science Center annual report for 2012","docAbstract":"Welcome to the inaugural edition of the U.S. Geological Survey (USGS) National Climate Change and Wildlife Science Center (NCCWSC) and the Department of the Interior (DOI) Climate Science Centers (CSCs) annual report.\n\nIn 2008, Congress created the National Climate Change and Wildlife Science Center (NCCWSC) within the U.S. Geological Survey (USGS). The center was formed to respond to the demands of natural resource managers for rigorous scientific information and effective tools for assessing and responding to climate change. Located at the USGS National Headquarters in Reston, Va., the NCCWSC has invested more than $70 million in cutting-edge climate change research and, in response to Secretarial Order No. 3289,established and is managing eight regional Department of Interior (DOI) Climate Science Centers (CSCs).\n\nThe mission of the NCCWSC is to provide natural resource managers with the tools and information they need to develop and execute management strategies that address the impacts of climate and other ongoing global changes on fish and wildlife and their habitats. The DOI CSCs are joint Federal-university partnerships that focus their scientific work on regional priorities identified by DOI Landscape Conservation Cooperatives (LCCs) as well as Federal, State, Tribal, and other resource managers. The CSCs provide access to a wide range of scientific capabilities through their network of university partners along with the USGS and other Federal agency scientists. The focus of the NCCWSC on multiregion and national priorities complements the regionally focused agendas of the CSCs.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1387","usgsCitation":"Varela-Acevedo, E., and O'Malley, R., 2013, The National Climate Change and Wildlife Science Center annual report for 2012 (Version 1.0: August 12, 2013; Version 1.1: November 14, 2013): U.S. Geological Survey Circular 1387, v, 29 p., https://doi.org/10.3133/cir1387.","productDescription":"v, 29 p.","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2012-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-043173","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":276536,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1387.gif"},{"id":276535,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1387/pdf/cir1387_high_res.pdf"},{"id":276534,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1387/"}],"edition":"Version 1.0: August 12, 2013; Version 1.1: November 14, 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5209f5dde4b0026c2bc11aa2","contributors":{"authors":[{"text":"Varela-Acevedo, Elda evarela-acevedo@usgs.gov","contributorId":292,"corporation":false,"usgs":true,"family":"Varela-Acevedo","given":"Elda","email":"evarela-acevedo@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":482436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Malley, Robin romalley@usgs.gov","contributorId":3954,"corporation":false,"usgs":true,"family":"O'Malley","given":"Robin","email":"romalley@usgs.gov","affiliations":[],"preferred":true,"id":482437,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047571,"text":"tm6A46 - 2013 - Documentation of the seawater intrusion (SWI2) package for MODFLOW","interactions":[],"lastModifiedDate":"2013-08-12T11:57:05","indexId":"tm6A46","displayToPublicDate":"2013-08-12T11:50:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A46","title":"Documentation of the seawater intrusion (SWI2) package for MODFLOW","docAbstract":"The SWI2 Package is the latest release of the Seawater Intrusion (SWI) Package for MODFLOW. The SWI2 Package allows three-dimensional vertically integrated variable-density groundwater flow and seawater intrusion in coastal multiaquifer systems to be simulated using MODFLOW-2005. Vertically integrated variable-density groundwater flow is based on the Dupuit approximation in which an aquifer is vertically discretized into zones of differing densities, separated from each other by defined surfaces representing interfaces or density isosurfaces. The numerical approach used in the SWI2 Package does not account for diffusion and dispersion and should not be used where these processes are important. The resulting differential equations are equivalent in form to the groundwater flow equation for uniform-density flow. The approach implemented in the SWI2 Package allows density effects to be incorporated into MODFLOW-2005 through the addition of pseudo-source terms to the groundwater flow equation without the need to solve a separate advective-dispersive transport equation. Vertical and horizontal movement of defined density surfaces is calculated separately using a combination of fluxes calculated through solution of the groundwater flow equation and a simple tip and toe tracking algorithm.\n\nUse of the SWI2 Package in MODFLOW-2005 only requires the addition of a single additional input file and modification of boundary heads to freshwater heads referenced to the top of the aquifer. Fluid density within model layers can be represented using zones of constant density (stratified flow) or continuously varying density (piecewise linear in the vertical direction) in the SWI2 Package. The main advantage of using the SWI2 Package instead of variable-density groundwater flow and dispersive solute transport codes, such as SEAWAT and SUTRA, is that fewer model cells are required for simulations using the SWI2 Package because every aquifer can be represented by a single layer of cells. This reduction in number of required model cells and the elimination of the need to solve the advective-dispersive transport equation results in substantial model run-time savings, which can be large for regional aquifers. The accuracy and use of the SWI2 Package is demonstrated through comparison with existing exact solutions and numerical solutions with SEAWAT. Results for an unconfined aquifer are also presented to demonstrate application of the SWI2 Package to a large-scale regional problem.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Ground water in Book 6 Modeling Techniques","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A46","collaboration":"Groundwater Resources Program; This report is Chapter 46 of Section A: Ground water in Book 6 Modeling Techniques","usgsCitation":"Bakker, M., Schaars, F., Hughes, J.D., Langevin, C.D., and Dausman, A., 2013, Documentation of the seawater intrusion (SWI2) package for MODFLOW: U.S. Geological Survey Techniques and Methods 6-A46, viii, 47 p., https://doi.org/10.3133/tm6A46.","productDescription":"viii, 47 p.","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":276425,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm6a46.gif"},{"id":276409,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/6a46/"},{"id":276411,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/6a46/tm6-a46.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5209f5dce4b0026c2bc11a9a","contributors":{"authors":[{"text":"Bakker, Mark","contributorId":56137,"corporation":false,"usgs":true,"family":"Bakker","given":"Mark","email":"","affiliations":[],"preferred":false,"id":482430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaars, Frans","contributorId":15920,"corporation":false,"usgs":true,"family":"Schaars","given":"Frans","email":"","affiliations":[],"preferred":false,"id":482429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":482428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":482427,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dausman, Alyssa M.","contributorId":64337,"corporation":false,"usgs":true,"family":"Dausman","given":"Alyssa M.","affiliations":[],"preferred":false,"id":482431,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70047565,"text":"70047565 - 2013 - Quantifying mineral abundances of complex mixtures by coupling spectral deconvolution of SWIR spectra (2.1-2.4 μm) and regression tree analysis","interactions":[],"lastModifiedDate":"2013-08-12T11:50:01","indexId":"70047565","displayToPublicDate":"2013-08-12T11:25:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying mineral abundances of complex mixtures by coupling spectral deconvolution of SWIR spectra (2.1-2.4 μm) and regression tree analysis","docAbstract":"This paper presents a methodology for assessing mineral abundances of mixtures having more than two constituents using absorption features in the 2.1-2.4 μm wavelength region. In the first step, the absorption behaviour of mineral mixtures is parameterised by exponential Gaussian optimisation. Next, mineral abundances are predicted by regression tree analysis using these parameters as inputs. The approach is demonstrated on a range of prepared samples with known abundances of kaolinite, dioctahedral mica, smectite, calcite and quartz and on a set of field samples from Morocco. The latter contained varying quantities of other minerals, some of which did not have diagnostic absorption features in the 2.1-2.4 μm region. Cross validation showed that the prepared samples of kaolinite, dioctahedral mica, smectite and calcite were predicted with a root mean square error (RMSE) less than 9 wt.%. For the field samples, the RMSE was less than 8 wt.% for calcite, dioctahedral mica and kaolinite abundances. Smectite could not be well predicted, which was attributed to spectral variation of the cations within the dioctahedral layered smectites. Substitution of part of the quartz by chlorite at the prediction phase hardly affected the accuracy of the predicted mineral content; this suggests that the method is robust in handling the omission of minerals during the training phase. The degree of expression of absorption components was different between the field sample and the laboratory mixtures. This demonstrates that the method should be calibrated and trained on local samples. Our method allows the simultaneous quantification of more than two minerals within a complex mixture and thereby enhances the perspectives of spectral analysis for mineral abundances.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geoderma","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.geoderma.2013.05.011","usgsCitation":"Mulder, V., Plotze, M., de Bruin, S., Schaepman, M.E., Mavris, C., Kokaly, R., and Egli, M., 2013, Quantifying mineral abundances of complex mixtures by coupling spectral deconvolution of SWIR spectra (2.1-2.4 μm) and regression tree analysis: Geoderma, v. 207-208, p. 279-290, https://doi.org/10.1016/j.geoderma.2013.05.011.","productDescription":"12 p.","startPage":"279","endPage":"290","numberOfPages":"12","ipdsId":"IP-041763","costCenters":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"links":[{"id":488169,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/3418353","text":"External Repository"},{"id":276406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276370,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geoderma.2013.05.011"}],"volume":"207-208","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5209f5dce4b0026c2bc11a9e","contributors":{"authors":[{"text":"Mulder, V.L.","contributorId":12764,"corporation":false,"usgs":true,"family":"Mulder","given":"V.L.","email":"","affiliations":[],"preferred":false,"id":482415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plotze, Michael","contributorId":76213,"corporation":false,"usgs":true,"family":"Plotze","given":"Michael","email":"","affiliations":[],"preferred":false,"id":482420,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Bruin, Sytze","contributorId":14284,"corporation":false,"usgs":true,"family":"de Bruin","given":"Sytze","email":"","affiliations":[],"preferred":false,"id":482417,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schaepman, Michael E.","contributorId":25446,"corporation":false,"usgs":true,"family":"Schaepman","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":482418,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mavris, C.","contributorId":13515,"corporation":false,"usgs":true,"family":"Mavris","given":"C.","email":"","affiliations":[],"preferred":false,"id":482416,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":81442,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond F.","affiliations":[],"preferred":false,"id":482421,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Egli, Markus","contributorId":59330,"corporation":false,"usgs":true,"family":"Egli","given":"Markus","email":"","affiliations":[],"preferred":false,"id":482419,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70193837,"text":"70193837 - 2013 - Population ecology of variegate darter (Etheostoma variatum) in Virginia","interactions":[],"lastModifiedDate":"2017-12-21T10:33:03","indexId":"70193837","displayToPublicDate":"2013-08-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesNumber":"Virginia Tech College of Natural Resources & Environment Reports Series, Number 2","displayTitle":"Population ecology of variegate darter (Etheostoma variatum) in Virginia","title":"Population ecology of variegate darter (Etheostoma variatum) in Virginia","docAbstract":"Variegate darters (Etheostoma variatum) were listed as endangered in Virginia in 1992. Reasons for listing included habitat degradation and concerns about current and future impacts of coal mining throughout their Virginia range. Prior to this research, little was known about variegate darter distribution, habitat use, or populations in Virginia. Two primary goals of this research were to gain knowledge about the current population ecology and the relationship between landscape-level factors (e.g., land cover changes, watershed size, isolation from other populations) on current and past variegate darter population sizes.
We investigated distribution, habitat suitability, population genetics, and population size and structure of variegate darters in the upper Big Sandy River drainage, Buchanan, Dickenson, and Wise Co., Virginia. Our results indicate variegate darters are primarily found in the Levisa Fork, with highest densities and abundances between its confluence with Dismal Creek and the Virginia-Kentucky border. Sporadic occurrences in smaller tributaries to the Levisa and Tug forks indicate they exist more widely in low densities, especially near the confluence with the Tug and Levisa mainstems. Detection of variegate darters in smaller tributaries was inconsistent, with reach-level occupancy estimates varying among years. We detected young-of-year variegate darters every year we sampled, but age 1+ darters were indistinguishable from older darters based on standard length.
Variegate darter population size and stability in Virginia were estimated via multiple methods, including site occupancy surveys, mark-recapture studies, and population genetic analysis. Using mark-recapture methods at five sites, we estimated overall population size in 2011 to be approximately 12,800 individuals in the 35-km reach between the Levisa Fork - Dismal Creek confluence and the Virginia-Kentucky border. Age structure seemed stable, with breeding adults and young-of-year collected annually during 2008-2011. Population genetic analysis indicated variegate darters in the Levisa Fork and its tributaries are part of a single genetic population. Historical and current genetic stability were seen in our analysis of the variegate darter population, with no genetic differentiation among riffles across the upper Levisa Fork watershed, indicating dispersal among these sites is enough to overcome random genetic drift. This population is genetically isolated from downstream populations by the dam at Fishtrap Lake, Pike Co., Kentucky, and is beginning to show genetic isolation from other nearby populations. As expected, the Virginia population is most closely related to those in the Russell Fork and Levisa Fork downstream of the dam.
Regular monitoring of variegate darters in the Levisa Fork mainstem from the Dismal Creek confluence to the Virginia-Kentucky border would facilitate better understanding of normal fluctuations of population size and distribution, as well as assessments of population status. This reach encompasses the core of the variegate darter population in Virginia, and its persistence will determine long-term viability of this species. Given that little is known about long-term population trends, we suggest that annual site-occupancy and population size estimates be made at ten randomly selected riffles for at least ten years to understand normal levels of variability. Thereafter, these population parameters could be monitored bi-annually as a way to detect shrinking distribution or abundance, especially after any fish kill or other pollution event in the Levisa Fork. We further suggest that the sites upstream and downstream of the saline diffusor pipe be monitored to detect changes in the extent of the impact zone.
Overall, the variegate darter population in Virginia appears stable, although primarily confined to the lower 35 km of the Levisa Fork. Nevertheless, variegate darters in Virginia remain susceptible to extirpation due to catastrophic events, both physical (chemical spill) and biological (disease outbreak or invasive species introduction).
","language":"English","publisher":"Virginia Tech","usgsCitation":"Argentina, J.E., Angermeier, P.L., and Hallerman, E.M., 2013, Population ecology of variegate darter (Etheostoma variatum) in Virginia, viii, 62 p.","productDescription":"viii, 62 p.","ipdsId":"IP-051149","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":350139,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":348243,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10919/23699"}],"country":"United States","state":"Virginia, West Virginia","county":"Buchanan County, McDowell County","otherGeospatial":"Levisa Fork watershed, Tug Fork 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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6102cbe4b06e28e9c25486","contributors":{"authors":[{"text":"Argentina, Jane E.","contributorId":72117,"corporation":false,"usgs":true,"family":"Argentina","given":"Jane","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":725271,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":720631,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hallerman, Eric M.","contributorId":40501,"corporation":false,"usgs":true,"family":"Hallerman","given":"Eric","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":725272,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047546,"text":"70047546 - 2013 - Trends in concentrations of nitrate and total dissolved solids in public supply wells of the Bunker Hill, Lytle, Rialto, and Colton groundwater subbasins, San Bernardino County, California: Influence of legacy land use","interactions":[],"lastModifiedDate":"2018-06-04T14:42:11","indexId":"70047546","displayToPublicDate":"2013-08-11T17:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Trends in concentrations of nitrate and total dissolved solids in public supply wells of the Bunker Hill, Lytle, Rialto, and Colton groundwater subbasins, San Bernardino County, California: Influence of legacy land use","docAbstract":"Concentrations and temporal changes in concentrations of nitrate and total dissolved solids (TDS) in groundwater of the Bunker Hill, Lytle, Rialto, and Colton groundwater subbasins of the Upper Santa Ana Valley Groundwater Basin were evaluated to identify trends and factors that may be affecting trends. One hundred, thirty-one public-supply wells were selected for analysis based on the availability of data spanning at least 11 years between the late 1980s and the 2000s.\n\nForty-one of the 131 wells (31%) had a significant (p < 0.10) increase in nitrate and 14 wells (11%) had a significant decrease in nitrate. For TDS, 46 wells (35%) had a significant increase and 8 wells (6%) had a significant decrease. Slopes for the observed significant trends ranged from − 0.44 to 0.91 mg/L/yr for nitrate (as N) and − 8 to 13 mg/L/yr for TDS.\n\nIncreasing nitrate trends were associated with greater well depth, higher percentage of agricultural land use, and being closer to the distal end of the flow system. Decreasing nitrate trends were associated with the occurrence of volatile organic compounds (VOCs); VOC occurrence decreases with increasing depth.\n\nThe relations of nitrate trends to depth, lateral position, and VOCs imply that increasing nitrate concentrations are associated with nitrate loading from historical agricultural land use and that more recent urban land use is generally associated with lower nitrate concentrations and greater VOC occurrence. Increasing TDS trends were associated with relatively greater current nitrate concentrations and relatively greater amounts of urban land. Decreasing TDS trends were associated with relatively greater amounts of natural land use. Trends in TDS concentrations were not related to depth, lateral position, or VOC occurrence, reflecting more complex factors affecting TDS than nitrate in the study area.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.02.042","usgsCitation":"Kent, R., and Landon, M.K., 2013, Trends in concentrations of nitrate and total dissolved solids in public supply wells of the Bunker Hill, Lytle, Rialto, and Colton groundwater subbasins, San Bernardino County, California: Influence of legacy land use: Science of the Total Environment, v. 452-453, p. 125-136, https://doi.org/10.1016/j.scitotenv.2013.02.042.","productDescription":"12 p.","startPage":"125","endPage":"136","ipdsId":"IP-017192","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":276290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276289,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.02.042"}],"country":"United States","state":"California","county":"San Bernardino County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.8026,33.871 ], [ -117.8026,35.8093 ], [ -114.1308,35.8093 ], [ -114.1308,33.871 ], [ -117.8026,33.871 ] ] ] } } ] }","volume":"452-453","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5208a45de4b0058b906bf5b4","contributors":{"authors":[{"text":"Kent, Robert 0000-0003-4174-9467 rhkent@usgs.gov","orcid":"https://orcid.org/0000-0003-4174-9467","contributorId":1445,"corporation":false,"usgs":true,"family":"Kent","given":"Robert","email":"rhkent@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":482335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482334,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047547,"text":"70047547 - 2013 - Pre-flight calibration and initial data processing for the ChemCam laser-induced breakdown spectroscopy instrument on the Mars Science Laboratory rover","interactions":[],"lastModifiedDate":"2014-04-24T09:32:03","indexId":"70047547","displayToPublicDate":"2013-08-11T17:49:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3464,"text":"Spectrochimica Acta Part B: Atomic Spectroscopy","active":true,"publicationSubtype":{"id":10}},"title":"Pre-flight calibration and initial data processing for the ChemCam laser-induced breakdown spectroscopy instrument on the Mars Science Laboratory rover","docAbstract":"The ChemCam instrument package on the Mars Science Laboratory rover, Curiosity, is the first planetary science instrument to employ laser-induced breakdown spectroscopy (LIBS) to determine the compositions of geological samples on another planet. Pre-processing of the spectra involves subtracting the ambient light background, removing noise, removing the electron continuum, calibrating for the wavelength, correcting for the variable distance to the target, and applying a wavelength-dependent correction for the instrument response. Further processing of the data uses multivariate and univariate comparisons with a LIBS spectral library developed prior to launch as well as comparisons with several on-board standards post-landing. The level-2 data products include semi-quantitative abundances derived from partial least squares regression.\n\nA LIBS spectral library was developed using 69 rock standards in the form of pressed powder disks, glasses, and ceramics to minimize heterogeneity on the scale of the observation (350–550 μm dia.). The standards covered typical compositional ranges of igneous materials and also included sulfates, carbonates, and phyllosilicates. The provenance and elemental and mineralogical compositions of these standards are described. Spectral characteristics of this data set are presented, including the size distribution and integrated irradiances of the plasmas, and a proxy for plasma temperature as a function of distance from the instrument. Two laboratory-based clones of ChemCam reside in Los Alamos and Toulouse for the purpose of adding new spectra to the database as the need arises. Sensitivity to differences in wavelength correlation to spectral channels and spectral resolution has been investigated, indicating that spectral registration needs to be within half a pixel and resolution needs to match within 1.5 to 2.6 pixels. Absolute errors are tabulated for derived compositions of each major element in each standard using PLS regression. Sources of errors are investigated and discussed, and methods for improving the analytical accuracy of compositions derived from ChemCam spectra are discussed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Spectrochimica Acta Part B: Atomic Spectroscopy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.sab.2013.02.003","usgsCitation":"Wiens, R.C., Maurice, S., Lasue, J., Forni, O., Anderson, R., Clegg, S., Bender, S., Blaney, D., Barraclough, B., Cousin, A., DeFlores, L., Delapp, D., Dyar, M., Fabre, C., Gasnault, O., Lanza, N., Mazoyer, J., Melikechi, N., Meslin, P., Newsom, H., Ollila, A., Perez, R., Tokar, R., and Vaniman, D., 2013, Pre-flight calibration and initial data processing for the ChemCam laser-induced breakdown spectroscopy instrument on the Mars Science Laboratory rover: Spectrochimica Acta Part B: Atomic Spectroscopy, v. 82, p. 1-27, https://doi.org/10.1016/j.sab.2013.02.003.","productDescription":"27 p.","startPage":"1","endPage":"27","ipdsId":"IP-044322","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":473600,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.sab.2013.02.003","text":"Publisher Index Page"},{"id":276288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276264,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.sab.2013.02.003"}],"volume":"82","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5208a45ce4b0058b906bf5b0","contributors":{"authors":[{"text":"Wiens, R. 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B.L.","contributorId":21449,"corporation":false,"usgs":true,"family":"Barraclough","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":482340,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cousin, A.","contributorId":92134,"corporation":false,"usgs":true,"family":"Cousin","given":"A.","affiliations":[],"preferred":false,"id":482353,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"DeFlores, L.","contributorId":41714,"corporation":false,"usgs":true,"family":"DeFlores","given":"L.","email":"","affiliations":[],"preferred":false,"id":482344,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Delapp, D.","contributorId":75056,"corporation":false,"usgs":true,"family":"Delapp","given":"D.","email":"","affiliations":[],"preferred":false,"id":482350,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Dyar, M.D.","contributorId":21286,"corporation":false,"usgs":true,"family":"Dyar","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":482339,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Fabre, C.","contributorId":44433,"corporation":false,"usgs":true,"family":"Fabre","given":"C.","affiliations":[],"preferred":false,"id":482345,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Gasnault, O.","contributorId":31277,"corporation":false,"usgs":true,"family":"Gasnault","given":"O.","affiliations":[],"preferred":false,"id":482342,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Lanza, N.","contributorId":65372,"corporation":false,"usgs":true,"family":"Lanza","given":"N.","email":"","affiliations":[],"preferred":false,"id":482348,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Mazoyer, J.","contributorId":47281,"corporation":false,"usgs":true,"family":"Mazoyer","given":"J.","email":"","affiliations":[],"preferred":false,"id":482346,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Melikechi, N.","contributorId":90632,"corporation":false,"usgs":true,"family":"Melikechi","given":"N.","affiliations":[],"preferred":false,"id":482352,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Meslin, P.-Y.","contributorId":95351,"corporation":false,"usgs":true,"family":"Meslin","given":"P.-Y.","email":"","affiliations":[],"preferred":false,"id":482354,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Newsom, H.","contributorId":98934,"corporation":false,"usgs":true,"family":"Newsom","given":"H.","email":"","affiliations":[],"preferred":false,"id":482355,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Ollila, A.","contributorId":30119,"corporation":false,"usgs":true,"family":"Ollila","given":"A.","email":"","affiliations":[],"preferred":false,"id":482341,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Perez, R.","contributorId":99037,"corporation":false,"usgs":true,"family":"Perez","given":"R.","email":"","affiliations":[],"preferred":false,"id":482356,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Tokar, R.","contributorId":86677,"corporation":false,"usgs":true,"family":"Tokar","given":"R.","email":"","affiliations":[],"preferred":false,"id":482351,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Vaniman, D.","contributorId":16291,"corporation":false,"usgs":true,"family":"Vaniman","given":"D.","affiliations":[],"preferred":false,"id":482336,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}} ,{"id":70047548,"text":"70047548 - 2013 - Modeling steam pressure under martian lava flows","interactions":[],"lastModifiedDate":"2018-11-08T16:11:53","indexId":"70047548","displayToPublicDate":"2013-08-11T17:41:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Modeling steam pressure under martian lava flows","docAbstract":"Rootless cones on Mars are a valuable indicator of past interactions between lava and water. However, the details of the lava–water interactions are not fully understood, limiting the ability to use these features to infer new information about past water on Mars. We have developed a model for the pressurization of a dry layer of porous regolith by melting and boiling ground ice in the shallow subsurface. This model builds on previous models of lava cooling and melting of subsurface ice. We find that for reasonable regolith properties and ice depths of decimeters, explosive pressures can be reached. However, the energy stored within such lags is insufficient to excavate thick flows unless they draw steam from a broader region than the local eruption site. These results indicate that lag pressurization can drive rootless cone formation under favorable circumstances, but in other instances molten fuel–coolant interactions are probably required. We use the model results to consider a range of scenarios for rootless cone formation in Athabasca Valles. Pressure buildup by melting and boiling ice under a desiccated lag is possible in some locations, consistent with the expected distribution of ice implanted from atmospheric water vapor. However, it is uncertain whether such ice has existed in the vicinity of Athabasca Valles in recent history. Plausible alternative sources include surface snow or an aqueous flood shortly before the emplacement of the lava flow.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2013.06.036","usgsCitation":"Dundas, C.M., and Keszthelyi, L., 2013, Modeling steam pressure under martian lava flows: Icarus, v. 226, no. 1, p. 1058-1067, https://doi.org/10.1016/j.icarus.2013.06.036.","productDescription":"10 p.","startPage":"1058","endPage":"1067","ipdsId":"IP-044490","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":276287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276286,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.icarus.2013.06.036"}],"otherGeospatial":"Mars","volume":"226","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5208a45ce4b0058b906bf5ac","contributors":{"authors":[{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":482360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":52802,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo P.","email":"laz@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":482361,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047545,"text":"70047545 - 2013 - Measuring environmental change in forest ecosystems by repeated soil sampling: a North American perspective","interactions":[],"lastModifiedDate":"2013-08-11T17:39:37","indexId":"70047545","displayToPublicDate":"2013-08-11T17:33:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Measuring environmental change in forest ecosystems by repeated soil sampling: a North American perspective","docAbstract":"Environmental change is monitored in North America through repeated measurements of weather, stream and river flow, air and water quality, and most recently, soil properties. Some skepticism remains, however, about whether repeated soil sampling can effectively distinguish between temporal and spatial variability, and efforts to document soil change in forest ecosystems through repeated measurements are largely nascent and uncoordinated. In eastern North America, repeated soil sampling has begun to provide valuable information on environmental problems such as air pollution. This review synthesizes the current state of the science to further the development and use of soil resampling as an integral method for recording and understanding environmental change in forested settings. The origins of soil resampling reach back to the 19th century in England and Russia. The concepts and methodologies involved in forest soil resampling are reviewed and evaluated through a discussion of how temporal and spatial variability can be addressed with a variety of sampling approaches. Key resampling studies demonstrate the type of results that can be obtained through differing approaches. Ongoing, large-scale issues such as recovery from acidification, long-term N deposition, C sequestration, effects of climate change, impacts from invasive species, and the increasing intensification of soil management all warrant the use of soil resampling as an essential tool for environmental monitoring and assessment. Furthermore, with better awareness of the value of soil resampling, studies can be designed with a long-term perspective so that information can be efficiently obtained well into the future to address problems that have not yet surfaced.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Crop Science Society of America","doi":"10.2134/jeq2012.0378","usgsCitation":"Lawrence, G.B., Fernandez, I.J., Richter, D.D., Ross, D., Hazlett, P.W., Bailey, S.W., , O., Warby, R.A., Johnson, A.H., Lin, H., Kaste, J.M., Lapenis, A.G., and Sullivan, T.J., 2013, Measuring environmental change in forest ecosystems by repeated soil sampling: a North American perspective: Journal of Environmental Quality, v. 42, no. 3, p. 623-639, https://doi.org/10.2134/jeq2012.0378.","productDescription":"17 p.","startPage":"623","endPage":"639","ipdsId":"IP-043243","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":276285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276284,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2012.0378"}],"volume":"42","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-05-01","publicationStatus":"PW","scienceBaseUri":"5208a45ce4b0058b906bf5a8","contributors":{"authors":[{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fernandez, Ivan J.","contributorId":80174,"corporation":false,"usgs":true,"family":"Fernandez","given":"Ivan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":482330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richter, Daniel D.","contributorId":99458,"corporation":false,"usgs":true,"family":"Richter","given":"Daniel","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":482332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ross, Donald S.","contributorId":9565,"corporation":false,"usgs":true,"family":"Ross","given":"Donald S.","affiliations":[],"preferred":false,"id":482322,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hazlett, Paul W.","contributorId":101177,"corporation":false,"usgs":true,"family":"Hazlett","given":"Paul","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":482333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bailey, Scott W. 0000-0002-9160-156X","orcid":"https://orcid.org/0000-0002-9160-156X","contributorId":36840,"corporation":false,"usgs":true,"family":"Bailey","given":"Scott","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":482325,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":" Oiumet","contributorId":42864,"corporation":false,"usgs":true,"given":"Oiumet","email":"","affiliations":[],"preferred":false,"id":482326,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Warby, Richard A.F.","contributorId":94950,"corporation":false,"usgs":true,"family":"Warby","given":"Richard","email":"","middleInitial":"A.F.","affiliations":[],"preferred":false,"id":482331,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Arthur H.","contributorId":55732,"corporation":false,"usgs":true,"family":"Johnson","given":"Arthur","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":482327,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lin, Henry","contributorId":76636,"corporation":false,"usgs":true,"family":"Lin","given":"Henry","email":"","affiliations":[],"preferred":false,"id":482328,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kaste, James M.","contributorId":28159,"corporation":false,"usgs":true,"family":"Kaste","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":482323,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lapenis, Andrew G.","contributorId":35635,"corporation":false,"usgs":true,"family":"Lapenis","given":"Andrew","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":482324,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sullivan, Timothy J.","contributorId":77812,"corporation":false,"usgs":true,"family":"Sullivan","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":482329,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70047550,"text":"sim3261 - 2013 - California State Waters Map Series: Offshore of Carpinteria, California","interactions":[],"lastModifiedDate":"2022-04-15T21:36:17.114029","indexId":"sim3261","displayToPublicDate":"2013-08-11T16:43:00","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":"3261","title":"California State Waters Map Series: Offshore of Carpinteria, California","docAbstract":"In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California’s State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology.\n\nThe Offshore of Carpinteria map area lies within the central Santa Barbara Channel region of the Southern California Bight. This geologically complex region forms a major biogeographic transition zone, separating the cold-temperate Oregonian province north of Point Conception from the warm-temperate California province to the south. The map area is in the southern part of the Western Transverse Ranges geologic province, which is north of the California Continental Borderland. Significant clockwise rotation—at least 90°—since the early Miocene has been proposed for the Western Transverse Ranges province, and the region is presently undergoing north-south shortening.\n\nThe small city of Carpinteria is the most significant onshore cultural center in the map area; the smaller town of Summerland lies west of Carpinteria. These communities rest on a relatively flat coastal piedmont that is surrounded on the north, east, and west by hilly relief on the flanks of the Santa Ynez Mountains. El Estero, a salt marsh on the coast west of Carpinteria, is an ecologically important coastal estuary. Southeast of Carpinteria, the coastal zone is narrow strip containing highway and railway transportation corridors and a few small residential clusters. Rincon Point is a well-known world-class surf break, and Rincon Island, constructed for oil and gas production, lies offshore of Punta Gorda. The steep bluffs backing the coastal strip are geologically unstable, and coastal erosion problems are ongoing in the map area; most notably, landslides in 2005 struck the small coastal community of La Conchita, engulfing houses and killing ten people.\n\nThe Offshore of Carpinteria map area lies in the central part of the Santa Barbara littoral cell, whose littoral drift is to the east-southeast. Drift rates have been estimated to be about 400,000 tons/yr at Santa Barbara Harbor (about 15 km west of Carpinteria). At the east end of the littoral cell, eastward-moving sediment is trapped by Hueneme and Mugu Canyons and then transported to the deep-water Santa Monica Basin. Sediment supply to the western and central part of the littoral cell is largely from relatively small transverse coastal watersheds, which have an estimated cumulative annual sediment flux of 640,000 tons/yr. The much larger Ventura and Santa Clara Rivers, the mouths of which are about 25 to 30 km southeast of Carpinteria, yield an estimated 3.4 million tons of sediment annually, the coarser sediment load generally moving southeast, down the coast, and the finer sediment load moving both upcoast and offshore.\n\nThe offshore part of the map area consists of a relatively flat and shallow continental shelf, which dips so gently (about 0.4° to 0.5°) that water depths at the 3-nautical-mile limit of California’s State Waters are 40 to 45 m. This part of the Santa Barbara Channel is relatively well protected from large Pacific swells from the north and northwest by Point Conception and from the south and southwest by offshore islands and banks. Fair-weather wave base is typically shallower than 20-m water depth, but winter storms are capable of resuspending fine-grained sediments in 30 m of water, and so shelf sediments in the map area probably are remobilized on an annual basis. The shelf is underlain by variable amounts of upper Quaternary shelf, estuarine, and fluvial sediments that thicken to the south.\n\nSeafloor habitats in the broad Santa Barbara Channel region consist of significant amounts of soft sediment and isolated areas of rocky habitat that support kelp-forest communities nearshore and rocky-reef communities in deep water. The potential marine benthic habitat types mapped in the Offshore of Carpinteria map area are directly related to its Quaternary geologic history, geomorphology, and active sedimentary processes. These potential habitats lie within the Shelf (continental shelf) megahabitat, dominated by a flat seafloor and substrates formed from deposition of fluvial and marine sediment during sea-level rise. This fairly homogeneous seafloor provides promising habitat for groundfish, crabs, shrimp, and other marine benthic organisms. The only significant interruptions to this homogeneous habitat type are the exposures of hard, irregular, and hummocky sedimentary bedrock and coarse-grained sediment where potential habitats for rockfish and related species exist.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3261","usgsCitation":"Johnson, S.Y., Dartnell, P., Cochrane, G.R., Golden, N., Phillips, E., Ritchie, A.C., Kvitek, R.G., Greene, H., Endris, C.A., Seitz, G., Sliter, R.W., Erdey, M.D., Wong, F.L., Gutierrez, C.I., Krigsman, L., Draut, A.E., and Hart, P.E., 2013, California State Waters Map Series: Offshore of Carpinteria, California: U.S. Geological Survey Scientific Investigations Map 3261, Pamphlet: iv, 42 p.; Maps: 10 Sheets: 49.00 × 36.00 inches or smaller; Metadata; Data Catalog, https://doi.org/10.3133/sim3261.","productDescription":"Pamphlet: iv, 42 p.; Maps: 10 Sheets: 49.00 × 36.00 inches or smaller; Metadata; Data 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G.","contributorId":107804,"corporation":false,"usgs":true,"family":"Kvitek","given":"Rikk","email":"","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":482379,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Greene, H. Gary","contributorId":87983,"corporation":false,"usgs":true,"family":"Greene","given":"H. Gary","affiliations":[],"preferred":false,"id":482376,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Endris, Charles A.","contributorId":87824,"corporation":false,"usgs":true,"family":"Endris","given":"Charles","email":"","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":482375,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Seitz, Gordon G.","contributorId":17303,"corporation":false,"usgs":false,"family":"Seitz","given":"Gordon G.","affiliations":[{"id":7099,"text":"Calif. Geol. Survey","active":true,"usgs":false}],"preferred":false,"id":482371,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sliter, Ray W. 0000-0003-0337-3454 rsliter@usgs.gov","orcid":"https://orcid.org/0000-0003-0337-3454","contributorId":1992,"corporation":false,"usgs":true,"family":"Sliter","given":"Ray","email":"rsliter@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":482364,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Erdey, Mercedes D. merdey@usgs.gov","contributorId":5411,"corporation":false,"usgs":true,"family":"Erdey","given":"Mercedes","email":"merdey@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":482370,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wong, Florence L. 0000-0002-3918-5896 fwong@usgs.gov","orcid":"https://orcid.org/0000-0002-3918-5896","contributorId":1990,"corporation":false,"usgs":true,"family":"Wong","given":"Florence","email":"fwong@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":482363,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Gutierrez, Carlos I.","contributorId":32799,"corporation":false,"usgs":true,"family":"Gutierrez","given":"Carlos","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":482372,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Krigsman, Lisa M.","contributorId":43642,"corporation":false,"usgs":true,"family":"Krigsman","given":"Lisa M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":482373,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Draut, Amy E.","contributorId":92215,"corporation":false,"usgs":true,"family":"Draut","given":"Amy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":482377,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":482368,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70047549,"text":"ds781 - 2013 - California State Waters Map series data catalog","interactions":[],"lastModifiedDate":"2025-08-25T13:29:33.311311","indexId":"ds781","displayToPublicDate":"2013-08-11T16:22:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"781","title":"California State Waters Map series data catalog","docAbstract":"In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California's State Waters. The CSMP approach is to create highly detailed seafloor maps and associated data layers through the collection, integration, interpretation, and visualization of swath sonar data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data.\n\nCSMP has divided coastal California into 110 map blocks (fig. 1), each to be published individually as USGS Scientific Investigations Maps (SIMs) at a scale of 1:24,000. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the seafloor geology and shallow (to about 100 m) subsurface geology.\n\nThis CSMP data catalog contains much of the data used to prepare the SIMs in the California State Waters Map Series. Other data that were used to prepare the maps were compiled from previously published sources (for example, onshore geology) and, thus, are not included herein.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds781","usgsCitation":"Golden, N.E. and Cochrane, G.R., compilers, 2013, California State Waters Map Series Data Catalog: U.S. Geological Survey Data Series 781, https://doi.org/10.3133/ds781.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":276266,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/ds781.png"},{"id":276265,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/781/"},{"id":427679,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://pubs.usgs.gov/ds/781/#datacatalogs","text":"Download Data and Reports: USGS Data Series"},{"id":494531,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/ds/781/versionHist.txt","linkFileType":{"id":2,"text":"txt"},"description":"Version History"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2013-08-08","revisedDate":"2025-08-22","noUsgsAuthors":false,"publicationDate":"2013-08-08","publicationStatus":"PW","scienceBaseUri":"5208a44fe4b0058b906bf5a0","contributors":{"compilers":[{"text":"Golden, Nadine E. 0000-0001-6007-6486 ngolden@usgs.gov","orcid":"https://orcid.org/0000-0001-6007-6486","contributorId":146220,"corporation":false,"usgs":true,"family":"Golden","given":"Nadine","email":"ngolden@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":886957,"contributorType":{"id":3,"text":"Compilers"},"rank":1},{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":886958,"contributorType":{"id":3,"text":"Compilers"},"rank":2}]}} ,{"id":70047543,"text":"70047543 - 2013 - Indirect cannibalism by crèche-aged American White Pelican (Pelecanus erythrorhynchos) chicks","interactions":[],"lastModifiedDate":"2020-12-18T20:11:00.960862","indexId":"70047543","displayToPublicDate":"2013-08-09T14:08:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1163,"text":"Canadian Field-Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Indirect cannibalism by crèche-aged American White Pelican (Pelecanus erythrorhynchos) chicks","docAbstract":"At nesting colonies of American White Pelicans (Pelecanus erythrorhynchos), many chicks die from siblicide, severe weather, and disease; this results in carcasses available for scavenging by conspecifics (i.e., indirect cannibalism). Indirect cannibalism has not been reported previously for this species. We describe five cases of crèche-aged American White Pelican chicks consuming or attempting to consume dead younger chicks at two nesting colonies in the northern plains of North America. Cannibalism in the American White Pelican appears to be rare and likely plays no role in the species’ population ecology or dynamics; however, it might be an important survival strategy of individual chicks when food resources are limited.","language":"English","publisher":"Canadian Field-Naturalists' Club","doi":"10.22621/cfn.v127i1.1413","usgsCitation":"Bartos, A.J., Sovada, M.A., Igl, L.D., and Pietz, P., 2013, Indirect cannibalism by crèche-aged American White Pelican (Pelecanus erythrorhynchos) chicks: Canadian Field-Naturalist, v. 127, no. 1, p. 72-75, https://doi.org/10.22621/cfn.v127i1.1413.","productDescription":"4 p.","startPage":"72","endPage":"75","ipdsId":"IP-036254","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473601,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.22621/cfn.v127i1.1413","text":"Publisher Index Page"},{"id":381519,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota;South Dakota","otherGeospatial":"Bitter Lake;Chase Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.4817,45.2468 ], [ -99.4817,47.0361 ], [ -97.2656,47.0361 ], [ -97.2656,45.2468 ], [ -99.4817,45.2468 ] ] ] } } ] }","volume":"127","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-07-15","publicationStatus":"PW","scienceBaseUri":"52060180e4b08a2ec8694b04","contributors":{"authors":[{"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":482319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":482318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Igl, Lawrence D. 0000-0003-0530-7266 ligl@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":2381,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence","email":"ligl@usgs.gov","middleInitial":"D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":482316,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":482317,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047544,"text":"sim3265 - 2013 - Estimation of reservoir storage capacity using multibeam sonar and terrestrial lidar, Randy Poynter Lake, Rockdale County, Georgia, 2012","interactions":[],"lastModifiedDate":"2017-01-13T09:46:27","indexId":"sim3265","displayToPublicDate":"2013-08-09T11:03:00","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":"3265","title":"Estimation of reservoir storage capacity using multibeam sonar and terrestrial lidar, Randy Poynter Lake, Rockdale County, Georgia, 2012","docAbstract":"The U.S. Geological Survey, in cooperation with the Rockdale County Department of Water Resources, conducted a bathymetric and topographic survey of Randy Poynter Lake in northern Georgia in 2012. The Randy Poynter Lake watershed drains surface area from Rockdale, Gwinnett, and Walton Counties. The reservoir serves as the water supply for the Conyers-Rockdale Big Haynes Impoundment Authority.\n\nThe Randy Poynter reservoir was surveyed to prepare a current bathymetric map and determine storage capacities at specified water-surface elevations. Topographic and bathymetric data were collected using a marine-based mobile mapping unit to estimate storage capacity. The marine-based mobile mapping unit operates with several components: multibeam echosounder, singlebeam echosounder, light detection and ranging system, navigation and motion-sensing system, and data acquisition computer. All data were processed and combined to develop a triangulated irregular network, a reservoir capacity table, and a bathymetric contour map.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3265","collaboration":"Prepared in cooperation with the Rockdale County Department of Water Resources","usgsCitation":"Lee, K., 2013, Estimation of reservoir storage capacity using multibeam sonar and terrestrial lidar, Randy Poynter Lake, Rockdale County, Georgia, 2012: U.S. Geological Survey Scientific Investigations Map 3265, Map: 1 Sheet: 34 x 32 inches, https://doi.org/10.3133/sim3265.","productDescription":"Map: 1 Sheet: 34 x 32 inches","onlineOnly":"Y","costCenters":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":276260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3265.jpg"},{"id":276258,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3265/"},{"id":276259,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3265/pdf/sim3265.pdf"}],"country":"United States","state":"Georgia","county":"Rockdale County","otherGeospatial":"Randy Poynter Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.956548,33.729426 ], [ -83.956548,33.761707 ], [ -83.92808,33.761707 ], [ -83.92808,33.729426 ], [ -83.956548,33.729426 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52060151e4b08a2ec8694b00","contributors":{"authors":[{"text":"Lee, K.G.","contributorId":28319,"corporation":false,"usgs":true,"family":"Lee","given":"K.G.","email":"","affiliations":[],"preferred":false,"id":482320,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047542,"text":"sir20135119 - 2013 - Simulated effects of proposed Arkansas Valley Conduit on hydrodynamics and water quality for projected demands through 2070, Pueblo Reservoir, southeastern Colorado","interactions":[],"lastModifiedDate":"2013-08-08T17:22:12","indexId":"sir20135119","displayToPublicDate":"2013-08-08T16:17:00","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":"2013-5119","title":"Simulated effects of proposed Arkansas Valley Conduit on hydrodynamics and water quality for projected demands through 2070, Pueblo Reservoir, southeastern Colorado","docAbstract":"The purpose of the Arkansas Valley Conduit (AVC) is to deliver water for municipal and industrial use within the boundaries of the Southeastern Colorado Water Conservancy District. Water supplied through the AVC would serve two needs: (1) to supplement or replace existing poor-quality water to communities downstream from Pueblo Reservoir; and (2) to meet a portion of the AVC participants’ projected water demands through 2070. The Bureau of Reclamation (Reclamation) initiated an Environmental Impact Statement (EIS) to address the potential environmental consequences associated with constructing and operating the proposed AVC, entering into a conveyance contract for the Pueblo Dam north-south outlet works interconnect (Interconnect), and entering into a long-term excess capacity master contract (Master Contract).\n\nOperational changes, as a result of implementation of proposed EIS alternatives, could change the hydrodynamics and water-quality conditions in Pueblo Reservoir. An interagency agreement was initiated between Reclamation and the U.S. Geological Survey to accurately simulate hydrodynamics and water quality in Pueblo Reservoir for projected demands associated with four of the seven proposed EIS alternatives.\n\nThe four alternatives submitted to the USGS for scenario simulation included various combinations (action or no action) of the proposed Arkansas Valley Conduit, Master Contract, and Interconnect options. The four alternatives were the No Action, Comanche South, Joint Use Pipeline North, and Master Contract Only. Additionally, scenario simulations were done that represented existing conditions (Existing Conditions scenario) in Pueblo Reservoir. Water-surface elevations, water temperature, dissolved oxygen, dissolved solids, dissolved ammonia, dissolved nitrate, total phosphorus, total iron, and algal biomass (measured as chlorophyll-a) were simulated. Each of the scenarios was simulated for three contiguous water years representing a wet, average, and dry annual hydrologic cycle. Each selected simulation scenario also was evaluated for differences in direct/indirect effects and cumulative effects on a particular scenario. Analysis of the results for the direct/indirect- and cumulative-effects analyses indicated that, in general, the results were similar for most of the scenarios and comparisons in this report focused on results from the direct/indirect-effects analyses.\n\nScenario simulations that represented existing conditions in Pueblo Reservoir were compared to the No Action scenario to assess changes in water quality from current demands (2006) to projected demands in 2070. Overall, comparisons of the results between the Existing Conditions and the No Action scenarios for water-surface elevations, water temperature, and dissolved oxygen, dissolved solids, dissolved ammonia, dissolved nitrate, total phosphorus, and total iron concentrations indicated that the annual median values generally were similar for all three simulated years. Additionally, algal groups and chlorophyll-a concentrations (algal biomass) were similar for the Existing Conditions and the No Action scenarios at site 7B in the epilimnion for the simulated period (Water Year 2000 through 2002).\n\nThe No Action scenario also was compared individually to the Comanche South, Joint Use Pipeline North, and Master Contract Only scenarios. These comparisons were made to describe changes in the annual median, 85th percentile, or 15th percentile concentration between the No Action scenario and each of the other three simulation scenarios. Simulated water-surface elevations, water temperature, dissolved oxygen, dissolved solids, dissolved ammonia, dissolved nitrate, total phosphorus, total iron, algal groups, and chlorophyll-a concentrations in Pueblo Reservoir generally were similar between the No Action scenario and each of the other three simulation scenarios.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135119","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Ortiz, R.F., 2013, Simulated effects of proposed Arkansas Valley Conduit on hydrodynamics and water quality for projected demands through 2070, Pueblo Reservoir, southeastern Colorado: U.S. Geological Survey Scientific Investigations Report 2013-5119, viii, 49 p., https://doi.org/10.3133/sir20135119.","productDescription":"viii, 49 p.","numberOfPages":"60","onlineOnly":"Y","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":276253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135119.jpg"},{"id":276251,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5119/"},{"id":276252,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5119/pdf/sir2013-5119.pdf"}],"country":"United States","state":"Colorado","otherGeospatial":"Pueblo Resevoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.4,38.2 ], [ -105.4,38.8 ], [ -104.6,38.8 ], [ -104.6,38.2 ], [ -105.4,38.2 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5204afdae4b0403aa62629ba","contributors":{"authors":[{"text":"Ortiz, Roderick F. rfortiz@usgs.gov","contributorId":1126,"corporation":false,"usgs":true,"family":"Ortiz","given":"Roderick","email":"rfortiz@usgs.gov","middleInitial":"F.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482315,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047539,"text":"ofr20101083L - 2013 - Seismicity of the Earth 1900-2012 Sumatra and vicinity","interactions":[],"lastModifiedDate":"2013-10-30T13:09:46","indexId":"ofr20101083L","displayToPublicDate":"2013-08-08T15:47:00","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":"2010-1083","chapter":"L","title":"Seismicity of the Earth 1900-2012 Sumatra and vicinity","docAbstract":"The plate boundary southwest of Sumatra is part of a long tectonic collision zone that extends over 8,000 km from Papua, New Guinea, in the east to the Himalayan front in the west. The Sumatra-Andaman part of the collision zone forms a subduction zone plate boundary, which accommodates convergence between the Indo-Australia and Sunda plates. This convergence is responsible for the intense seismicity in Sumatra. The Sumatra Fault, a major transform structure that bisects Sumatra, accommodates the northwest-increasing lateral component of relative plate motion.\n\nMost strain accumulation and release between the two plates occurs along the Sunda megathrust. The increasingly oblique convergence moving northwest is accommodated by crustal seismicity along several transform and normal faults, including the Sumatra Fault. Plate-boundary related deformation is also not restricted to the subduction zone and overriding plate: the Indo-Australian plate actually comprises two somewhat independent plates (India and Australia) that are joined along a broad, actively deforming region that produces seismicity up to several hundred kilometers west of the trench. This deformation is exemplified by the recent April 2012 earthquake sequence, which includes the April 11 M 8.6 and M 8.2 strike-slip events and their subsequent aftershocks.\n\nSince 2004, much of the Sunda megathrust between the northern Andaman Islands and Enggano Island, a distance of more than 2,000 km, has ruptured in a series of large subduction zone earthquakes—most rupturing the plate boundary south of Banda Aceh. These events include the great M 9.1 earthquake of December 26, 2004; the M 8.6 Nias Island earthquake of March 28, 2005; and two earthquakes on September 12, 2007, of M 8.5 and M 7.9. On October 25, 2010, a M 7.8 on the shallow portion of the megathrust to the west of the Mentawai Islands caused a substantial tsunami on the west coast of those islands.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101083L","usgsCitation":"Hayes, G., Bernardino, M., Dannemann, F., Smoczyk, G., Briggs, R.W., Benz, H.M., Furlong, K.P., and Villaseñor, A., 2013, Seismicity of the Earth 1900-2012 Sumatra and vicinity: U.S. Geological Survey Open-File Report 2010-1083, Map: 1 Sheet: 24 x 37 inches, https://doi.org/10.3133/ofr20101083L.","productDescription":"Map: 1 Sheet: 24 x 37 inches","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":276250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20101083L.PNG"},{"id":276248,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1083/l/"},{"id":276249,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2010/1083/l/pdf/OF10-1083_L-508.pdf"}],"country":"Sumatra","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 88.0,9.0 ], [ 88.0,18.0 ], [ 108.0,18.0 ], [ 108.0,9.0 ], [ 88.0,9.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5204afdae4b0403aa62629b6","contributors":{"authors":[{"text":"Hayes, Gavin P. 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Development of effective water-resource policies and management strategies could provide resiliance to local economies in the face of water disruptions such as drought, flood, and climate change. To accomplish this, a detailed understanding of human water use and natural water resource availability is needed. A hydrologic model is a computer software system that simulates the movement and use of water in a geographic area. It takes into account all components of the water cycle--“One Water”--and helps estimate water budgets for groundwater, surface water, and landscape features. 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