A joint analysis of geodetic and seismic datasets from Kīlauea Volcano during a period of magmatic unrest in 2006 demonstrates the effectiveness of this combination for testing and constraining models of magma dynamics for a complex, multi-source system. At the end of 2003, Kīlauea's summit began a four-year-long period of inflation due to a surge in magma supply to the volcano. In 2006, for the first time since 1982, Kīlauea's Southwest Rift Zone (SWRZ) also experienced inflation. To investigate the characteristics of active magma sources and the nature of their interactions with faults in the SWRZ during 2006, we integrate, through Coulomb stress modeling, contemporary geodetic data from InSAR and GPS with a new catalogue of double-couple fault-plane solutions for volcano-tectonic earthquakes. We define two periods of inflation during 2006 based on the rate of deformation measured in daily GPS data, spanning February to 15 March 2006 (Period 1) and 16 March to 30 September 2006 (Period 2). InSAR data for these two periods are inverted to determine the position, change in size, and shape of inflation sources in each period. Our new models are consistent with microseismic activity from each period. They suggest that, during Period 1, deformation in the SWRZ can be explained by pressurization of magma in a spherical reservoir beneath the south caldera, and that, during Period 2, magma was also aseismically intruded farther to the southwest into the SWRZ along a sub-horizontal plane. Our Coulomb stress analysis shows that the microseismicity recorded in the SWRZ is induced by overpressurization of the south caldera reservoir, and not by magma intrusion into the SWRZ. This study highlights the importance of a joint analysis of independent geophysical datasets to fully constrain the nature of magma accumulation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2016.09.011","usgsCitation":"Wauthier, C., Roman, D.C., and Poland, M.P., 2016, Joint analysis of geodetic and earthquake fault-plane solution data to constrain magmatic sources: A case study from Kīlauea Volcano: Earth and Planetary Science Letters, v. 455, p. 38-48, https://doi.org/10.1016/j.epsl.2016.09.011.","productDescription":"11 p.","startPage":"38","endPage":"48","ipdsId":"IP-077131","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":462057,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2016.09.011","text":"Publisher Index Page"},{"id":330354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.34942626953125,\n 19.199647272639126\n ],\n [\n -154.98687744140625,\n 19.199647272639126\n ],\n [\n -154.98687744140625,\n 19.4665922322076\n ],\n [\n -155.34942626953125,\n 19.4665922322076\n ],\n [\n -155.34942626953125,\n 19.199647272639126\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"455","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58106f97e4b0f497e796110d","contributors":{"authors":[{"text":"Wauthier, Christelle","contributorId":176224,"corporation":false,"usgs":false,"family":"Wauthier","given":"Christelle","email":"","affiliations":[],"preferred":false,"id":651948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roman, Diana C.","contributorId":176225,"corporation":false,"usgs":false,"family":"Roman","given":"Diana","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":651949,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":651947,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70177863,"text":"70177863 - 2016 - Extending ordinal regression with a latent zero-augmented beta distribution","interactions":[],"lastModifiedDate":"2016-12-01T13:19:39","indexId":"70177863","displayToPublicDate":"2016-10-25T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2151,"text":"Journal of Agricultural, Biological, and Environmental Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Extending ordinal regression with a latent zero-augmented beta distribution","docAbstract":"Ecological abundance data are often recorded on an ordinal scale in which the lowest\ncategory represents species absence. One common example is when plant species cover\nis visually assessedwithin bounded quadrats and then assigned to pre-defined cover class\ncategories.We present an ordinal beta hurdle model that directly models ordinal category\nprobabilitieswith a biologically realistic beta-distributed latent variable.Ahurdle-at-zero\nmodel allows ecologists to explore distribution (absence) and abundance processes in an\nintegrated framework. This provides an alternative to cumulative link models when data\nare inconsistent with the assumption that the odds ofmoving into a higher category are the\nsame for all categories (proportional odds). Graphical tools and a deviance information\ncriterion were developed to assess whether a hurdle-at-zero model should be used for\ninferences rather than standard ordinal methods. Hurdle-at-zero and non-hurdle ordinal\nmodels fit to vegetation cover class data produced substantially different conclusions.The\nordinal beta hurdle model yielded more precise parameter estimates than cumulative logit\nmodels, although out-of-sample predictions were similar. The ordinal beta hurdle model\nprovides inferences directly on the latent biological variable of interest, percent cover,\nand supports exploration of more realistic ecological patterns and processes through the\nhurdle-at-zero or two-part specification.We provide JAGS code as an on-line supplement.\nSupplementary materials accompanying this paper appear on-line.","language":"English","publisher":"Springer","doi":"10.1007/s13253-016-0265-2","usgsCitation":"Irvine, K.M., Rodhouse, T., and Keren, I.N., 2016, Extending ordinal regression with a latent zero-augmented beta distribution: Journal of Agricultural, Biological, and Environmental Statistics, v. 21, no. 4, p. 619-640, https://doi.org/10.1007/s13253-016-0265-2.","productDescription":"22 p.","startPage":"619","endPage":"640","ipdsId":"IP-063501","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":330352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-12","publicationStatus":"PW","scienceBaseUri":"58106f97e4b0f497e7961111","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":651957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodhouse, T.J.","contributorId":10978,"corporation":false,"usgs":true,"family":"Rodhouse","given":"T.J.","affiliations":[],"preferred":false,"id":651958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keren, Ilai. N.","contributorId":176229,"corporation":false,"usgs":false,"family":"Keren","given":"Ilai.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":651959,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70179383,"text":"70179383 - 2016 - Weak support for disappearance and restricted emergence/persistence of highly pathogenic influenza A in North American waterfowl","interactions":[],"lastModifiedDate":"2016-12-30T10:24:21","indexId":"70179383","displayToPublicDate":"2016-10-25T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Weak support for disappearance and restricted emergence/persistence of highly pathogenic influenza A in North American waterfowl","docAbstract":"Krauss et al. (1) use lack of detection of highly pathogenic (HP) H5 clade 2.3.4.4 (henceforth \"H5\") influenza A viruses (IAVs) from >22,000 wild bird samples collected in North America in 2014–2015 to argue that HP H5 IAVs disappeared from waterfowl and that unresolved mechanisms restrict emergence and perpetuation of HP IAVs in natural reservoir species. Here we offer an alternative interpretation.","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.1614530113","usgsCitation":"Ramey, A.M., Spackman, E., Kim Torchetti, M., and DeLiberto, T.J., 2016, Weak support for disappearance and restricted emergence/persistence of highly pathogenic influenza A in North American waterfowl: Proceedings of the National Academy of Sciences, v. 113, p. E6551-E6552, https://doi.org/10.1073/pnas.1614530113.","productDescription":"2 p. ","startPage":"E6551","endPage":"E6552","ipdsId":"IP-078887","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":470489,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1614530113","text":"Publisher Index Page"},{"id":332662,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1073/pnas.1614530113"},{"id":332675,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-17","publicationStatus":"PW","scienceBaseUri":"586781f6e4b0cd2dabe7c713","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":657008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spackman, Erica","contributorId":82126,"corporation":false,"usgs":false,"family":"Spackman","given":"Erica","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":657040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kim Torchetti, Mia","contributorId":139355,"corporation":false,"usgs":false,"family":"Kim Torchetti","given":"Mia","email":"","affiliations":[{"id":12747,"text":"USDA APHIS VS National Veterinary Services Laboratories, Ames, IA","active":true,"usgs":false}],"preferred":false,"id":657041,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeLiberto, Thomas J.","contributorId":145606,"corporation":false,"usgs":false,"family":"DeLiberto","given":"Thomas","email":"","middleInitial":"J.","affiliations":[{"id":16167,"text":"7United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, National Wildlife Disease Program, 4101 LaPorte Ave., Fort Collins, CO, United States of America.","active":true,"usgs":false}],"preferred":false,"id":657042,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70174874,"text":"sir20165048 - 2016 - Assessment of hydrogeologic terrains, well-construction characteristics, groundwater hydraulics, and water-quality and microbial data for determination of surface-water-influenced groundwater supplies in West Virginia","interactions":[],"lastModifiedDate":"2016-10-24T13:52:21","indexId":"sir20165048","displayToPublicDate":"2016-10-24T10:50:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5048","title":"Assessment of hydrogeologic terrains, well-construction characteristics, groundwater hydraulics, and water-quality and microbial data for determination of surface-water-influenced groundwater supplies in West Virginia","docAbstract":"In January 2014, a storage tank leaked, spilling a large quantity of 4-methylcyclohexane methanol into the Elk River in West Virginia and contaminating the water supply for more than 300,000 people. In response, the West Virginia Legislature passed Senate Bill 373, which requires the West Virginia Department of Health and Human Resources (WVDHHR) to assess the susceptibility and vulnerability of public surface-water-influenced groundwater supply sources (SWIGS) and surface-water intakes statewide. In response to this mandate for reassessing SWIGS statewide, the U.S. Geological Survey (USGS), in cooperation with the WVDHHR, Bureau of Public Health, Office of Environmental Health Services, compiled available data and summarized the results of previous groundwater studies to provide the WVDHHR with data that could be used as part of the process for assessing and determining SWIGS.
\nExisting geologic, hydrologic, well-construction, water-quality, and other related data and information from previous U.S. Geological Survey (USGS) hydrogeologic studies and the USGS National Water Information System (NWIS) database, in conjunction with data from the West Virginia Bureau for Public Health (WVBPH) Department of Health and Human Resources (WVDHHR) and the West Virginia Department of Environmental Protection database and files, were collected, compiled, and analyzed to help the WVDHHR to better assess public groundwater supply wells that may meet the definition of a surface-water-influenced- groundwater supply (SWIGS).
\nIn this study, measures of intrinsic susceptibility, which are characterized by the physical properties that affect the ease with which water moves through the unsaturated zone and, subsequently, into the saturated zone within an aquifer, showed that karst limestone aquifers are the aquifers most intrinsically susceptible to contamination within the State of West Virginia. Karst limestone aquifers are present within Cambrian- and Ordovician-age formations within West Virginia’s eastern panhandle and in Mississippian-age limestones within the Greenbrier River valley. Solution development within these limestone aquifers allows rapid recharge and flow of groundwater within the aquifer, both of which allow surface contaminants to easily enter the aquifer and travel long distances in a short period of time.
\nAlluvial aquifers bordering the Ohio River in western West Virginia are also potentially highly susceptible to contamination because these alluvial aquifers can receive significant recharge from the adjacent Ohio River. Any potential contaminants that may be present in the river have the potential to enter the aquifer and contaminate wells completed within the sand and gravel alluvial sediments within which the wells are completed. These same alluvial sediments, however, help to retard the movement of bacteria and other potentially pathogenic organisms, such as Cryptosporidia and Giardia lamblia, into the aquifer. As a result, samples from alluvial aquifers bordering the Ohio River and elsewhere within the State do not commonly test positive for indicator bacteria, such as total coliform, fecal coliform, or Escherichia coli (E. coli). The alluvial sediments do not, however, provide assimilative capacity with respect to water soluble compounds such as nitrate and certain volatile and semi-volatile organic compounds. Therefore, the Ohio River alluvial aquifers are highly susceptible to organic compounds present in the river or on the land surface near a well. These aquifers are also susceptible to nitrate contamination from fertilizers, pesticides, and manure, which are commonly used on the fertile agricultural soils present on terraces along the Ohio River.
\nAbandoned-coal-mine aquifers, which are typically used as a source of groundwater in southern West Virginia, are moderately susceptible to contamination. The vast network of voids from mine entries provide vast storage for groundwater in abandoned mine aquifers, and fracturing of overburden strata, which is common in areas of past or current mining, can allow rapid infiltration of contaminants to the aquifer. Where streams cross over below-drainage underground coal mines, there is an increased potential for contamination of coal-mine aquifers. As a result, above-drainage underground coal mines, those mines that are present at an elevation above local tributary drainage, are probably less susceptible to contamination than are below-drainage underground coal mines. Public groundwater supplies in abandoned coal mines need to be evaluated on a case-by-case basis to assess the potential for recharge of contaminated surface water to enter below-drainage underground coal-mine aquifers and to assess potential hydraulic conductivity to nearby surface-water bodies, such as lakes, ponds, rivers, or streams.
\nFractured-rock aquifers compose an additional major type of aquifer within the State of West Virginia. Owing to their low permeability and their typically small groundwater capture areas, fractured-rock aquifers within the State of West Virginia typically have low susceptibility to contamination. However, there are exceptions, and wells completed in fractured-rock aquifers that are in close proximity to streams may be adversely affected by induced recharge from the stream. Where such systems are present, frequent bacterial testing of the source water can be used to ascertain the potential for microbial contamination of the aquifer.
\nIntrinsic susceptibility alone does not fully predict whether or not a well is vulnerable to contamination, only that the hydrogeologic terrain is suitable for rapid transport of pathogenic organisms or chemical compounds to and within the aquifer. However, contaminants may or may not be present in the recharge water to an individual well or well field. Therefore, an assessment of potential contaminant sources, such as nearby gas wells, landfills, underground storage tanks, above ground storage tanks, major transportation corridors, surface or underground coal mines, and flood plains, is needed to assess vulnerability. The assessments need to be conducted on a case-by-case basis or, as has been done in this study, by collecting and compiling the number of potential contaminant sources that may be present in the source-water-protection area for an individual public groundwater supply source.
\nGroundwater public-supply systems in areas of high intrinsic susceptibility and with a large number of potential contaminant sources within the recharge or source-water-protection area of individual wells or well fields are potentially vulnerable to contamination and probably warrant further evaluation as potential SWIGS. However, measures can be taken to educate the local population and initiate safety protocols and protective strategies to appropriately manage contaminant sources to prevent release of contaminants to the aquifer, therefore, reducing vulnerability of these systems to contamination. However, each public groundwater supply source needs to be assessed on an individual basis. Data presented in this report can be used to categorize and prioritize wells and springs that have a high potential for intrinsic susceptibility or vulnerability to contamination.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165048","collaboration":"Prepared in cooperation with the West Virginia Department of Health and Human Resources, Bureau of Public Health, Office of Environmental Health Services","usgsCitation":"Kozar, M.D., and Paybins, K.S., 2016, Assessment of hydrogeologic terrains, well-construction characteristics, groundwater hydraulics, and water-quality and microbial data for determination of surface-water-influenced groundwater supplies in West Virginia (ver. 1.1, October 2016): U.S. Geological Survey Scientific Investigations Report 2016–5048, 55 p., https://dx.doi.org/10.3133/sir20165048.","productDescription":"Report: vii, 54 p.; 2 Figures; 3 Appendixes","numberOfPages":"67","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-065870","costCenters":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":325448,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2016/5048/sir20165048_figure3A.pdf","text":"Figure 3A -","size":"16.3 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"Major Geologic Formations in West Virginia"},{"id":325450,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5048/sir20165048_appendix1.xlsx","text":"Appendix 1 - ","size":"168 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"Description of 324 wells in West Virginia sampled as part of the U.S. Geological Survey and West Virginia Department of Environmental Protection statewide Ambient Groundwater Quality Monitoring Network"},{"id":325449,"rank":4,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2016/5048/sir20165048_figure3B.pdf","text":"Figure 3B -","size":"745 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"Major geologic formations in the study area of the Blue Ridge Physiographic Province USGS National Water Quality Assessment study in Virginia and North Carolina"},{"id":325446,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5048/coverthb2.jpg"},{"id":325452,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5048/sir20165048_appendix3.xlsx","text":"Appendix 3 - ","size":"111 KB","linkHelpText":" Permit data for public groundwater supplies in West Virginia with accompanying counts of number of potential sources of contamination within the respective source-water-protection area for each public groundwater supply source"},{"id":325447,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5048/sir20165048.pdf","text":"Report","size":"25.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5048"},{"id":325451,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5048/sir20165048_appendix2.xlsx","text":"Appendix 2 - ","size":"115 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"Description of wells in West Virginia, including casing length and well depth, that are part of the U.S. Geological Survey Groundwater Site Inventory database with Escherichia coli, fecal coliform, and total coliform data that are stored in the U.S. Geological Survey Water-Quality database"},{"id":330340,"rank":8,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2016/5048/versionHist.txt","text":"Version History","size":"2.20 KB","linkFileType":{"id":2,"text":"txt"}}],"country":"United States","state":"West 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Virginia\",\"nation\":\"USA \"}}]}","edition":"Version 1.0: Originally posted August 30, 2016; Version 1.1: October 24, 2016","contact":"Director, West Virginia Water Science Center
U.S. Geological Survey
11 Dunbar Street
Charleston, WV 25301
http://wv.usgs.gov
Treated effluent discharged from municipal wastewater-treatment plants to the Assabet River in central Massachusetts includes phosphorus, which leads to increased growth of nuisance aquatic plants that decrease the river’s water quality and aesthetics in impounded reaches during the growing season. To improve the river’s water quality and aesthetics, the U.S. Environmental Protection Agency approved a total maximum daily load for phosphorus in 2004 that directed the wastewater-treatment plants to reduce the amount of total phosphorus discharged to the river by 2012. The permitted total phosphorus monthly average of 0.75 milligrams per liter during the aquatic plant growing season (April 1 through October 31) was reduced by the total maximum daily load to a target of 0.1 milligrams per liter by 2012, and the nongrowing-season limit was unchanged at 1.0 milligrams per liter.
From October 2008 through April 2014, the U.S. Geological Survey, in cooperation with the Massachusetts Department of Environmental Protection, measured streamflow and collected weekly flow-proportional, composite samples of water from the Assabet River for analysis of concentrations of total phosphorus and orthophosphate. Streamflow and concentration data were used to estimate total phosphorus and orthophosphate loads in the river. The purpose of this monitoring effort was to evaluate phosphorus concentrations and loads in the river before, during, and after the wastewater-treatment-plant upgrades and to assess the effects of seasonal differences in permitted discharges. The locations of water-quality-monitoring stations, with respect to the Hudson and Ben Smith impoundments, enabled examination of effects of phosphorus entering and leaving the impoundments.
Annual median concentrations of total phosphorus in wastewater-treatment plants were reduced by more than 80 percent with the plant upgrades. Measured instream annual median concentrations of total phosphorus in the Assabet River decreased by about 38 to 50 percent at three of the four monitoring stations following the wastewater-treatment-plant upgrades. At the station farthest upstream, the median total phosphorus concentration remained unchanged throughout the study; this may be attributed to the site location and potential resuspension of particulate organic matter during periods of increased streamflow. Annual median loads from the wastewater-treatment plants were reduced by up to 91 percent following the upgrades, instream annual median total phosphorus loads at the three downstream stations decreased by 71 to 76 percent, and instream orthophosphate loads at the three downstream stations decreased by 79 to 87 percent.
Seasonal fluctuations (growing versus nongrowing) of total phosphorus and orthophosphate were observed instream before the upgrades. However, after the upgrades, fluctuations in phosphorus released from the treatment plants were slight and seasonal changes were typically not observed instream.
Annual loads entering and leaving the two impoundments were inconclusive in determining whether the impoundments were sources or sinks of total phosphorus during the study. Total phosphorus loads entering the Hudson impoundment were consistently greater than those leaving; however, there was uncertainty about the loads at the monitoring station upstream from this impoundment. At the Ben Smith impoundment, total phosphorus and orthophosphate loads downstream were slightly greater than those upstream from the impoundment, but the differences may reflect additions from tributaries and overland runoff.
Estimated instream total phosphorus concentrations and loads indicated that the decreases in total phosphorus in wastewater-treatment-plant discharges were accompanied by reductions measured in the Assabet River. A statistical analysis which incorporates the effect of varying flow conditions demonstrated significant reductions in total phosphorus concentrations after the wastewater-treatment-plant upgrades at three of the four instream monitoring stations. No significant change was observed at the most upstream location, the Assabet River at Port Street at Hudson, Massachusetts (station number 01096835), which may have been affected by flow-related resuspension of particulate phosphorus.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165063","isbn":"978-1-4113-4059-6","collaboration":"Prepared in cooperation with the Massachusetts Department of Environmental Protection","usgsCitation":"Savoie, J.G., DeSimone, L.A., Mullaney, J.R., Zimmerman, M.J., and Waldron, M.C., 2016, Changes in phosphorus concentrations and loads in the Assabet River, Massachusetts, October 2008 through April 2014: U.S. Geological Survey Scientific Investigations Report 2016–5063, 40 p., https://dx.doi.org/10.3133/sir20165063.","productDescription":"Report: ix, 40 p.; Data Release","numberOfPages":"54","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-056167","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":438530,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72R3PR3","text":"USGS data release","linkHelpText":"Streamflow and total phosphorus and orthophosphate data for samples collected in and near the Assabet River, Massachusetts, October 2008 through April 2014"},{"id":329393,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F72R3PR3","text":"USGS data release","description":"USGS data release","linkHelpText":"Streamflow and Total Phosphorus and Orthophosphate Data for Samples Collected In and Near the Assabet River, Massachusetts, October 2008 Through April 2014"},{"id":329392,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5063/sir20165063.pdf","text":"Report","size":"10.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5063"},{"id":329391,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5063/coverthb3.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Assabet River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.67068481445312,\n 42.245801966774025\n ],\n [\n -71.67068481445312,\n 42.476148570254516\n ],\n [\n -71.36032104492188,\n 42.476148570254516\n ],\n [\n -71.36032104492188,\n 42.245801966774025\n ],\n [\n -71.67068481445312,\n 42.245801966774025\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
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10 Bearfoot Road
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http://newengland.water.usgs.gov
We used Global Positioning System (GPS) radiotelemetry data from 7 breeding female wolves (Canis lupus; n = 14 dennings) in 3 regions across Alaska, USA, during 2008–2011 to develop and compare methods for estimating the onset of denning, and thus infer timing of parturition. We developed and tested 2 estimators based on a combination of GPS radiocollar location-fix failure and distance traveled between locations. We developed a quantitative method employing Generalized Additive Models to smooth time series of wolf data to estimate denning onset. In contrast, 3 study authors with first-hand experience with the study wolves implemented a subjective method of estimating denning onset by visual inspection of detection and distance traveled data. We then tested the visual method for repeatability by subjecting it to 10 wolf experts not associated with this study. Side-by-side comparison of estimators indicates that denning onset can be precisely measured using GPS detection success and distance traveled. Furthermore, the visual-inspection method was simple and rapid to implement and yielded more accurate (relative to assumed dates of denning onset) and precise results compared to the quantitative estimator. Although the Generalized Additive Model based approach had the advantage of estimating denning onset objectively following a set of prescribed rules in a statistical inferential framework, we found the method required significant technical capacity to implement and did not represent an improvement over simple visual-inspection-based estimates of denning onset.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.703","usgsCitation":"Walsh, P.B., Sethi, S., Lake, B.C., Mangipane, B.A., Nielson, R., and Lowe, S., 2016, Estimating denning date of wolves with daily movement and GPS location fix failure: Wildlife Society Bulletin, v. 40, no. 4, p. 663-668, https://doi.org/10.1002/wsb.703.","productDescription":"6 p.","startPage":"663","endPage":"668","ipdsId":"IP-127033","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":499855,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/80d297d6da034496be9fafe4301c7b9e","text":"External Repository"},{"id":397250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Lake Clark National Park, Togiak National Wildlife Refuge, Yukon Flats National Wildlife 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C.","contributorId":288778,"corporation":false,"usgs":false,"family":"Lake","given":"Bryce","email":"","middleInitial":"C.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":838276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mangipane, Buck A.","contributorId":288781,"corporation":false,"usgs":false,"family":"Mangipane","given":"Buck","email":"","middleInitial":"A.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":838277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nielson, Ryan","contributorId":288785,"corporation":false,"usgs":false,"family":"Nielson","given":"Ryan","affiliations":[{"id":49982,"text":"WEST, Inc.","active":true,"usgs":false}],"preferred":false,"id":838278,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lowe, 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South Napa earthquake of 24 August 2014 caused slip on several active fault strands within the West Napa Fault Zone (WNFZ). Field mapping identified 12.5 km of surface rupture. These field observations, near-field geodesy and space geodesy, together provide evidence for more than ~30 km of surface deformation with a relatively complex distribution across a number of subparallel lineaments. Along a ~7 km section north of the epicenter, the surface rupture is confined to a single trace that cuts alluvial deposits, reoccupying a low-slope scarp. The rupture continued northward onto at least four other traces through subparallel ridges and valleys. Postseismic slip exceeded coseismic slip along much of the southern part of the main rupture trace with total slip 1 year postevent approaching 0.5 m at locations where only a few centimeters were measured the day of the earthquake. Analysis of airborne interferometric synthetic aperture radar data provides slip distributions along fault traces, indicates connectivity and extent of secondary traces, and confirms that postseismic slip only occurred on the main trace of the fault, perhaps indicating secondary structures ruptured as coseismic triggered slip. Previous mapping identified the WNFZ as a zone of distributed faulting, and this was generally borne out by the complex 2014 rupture pattern. Implications for hazard analysis in similar settings include the need to consider the possibility of complex surface rupture in areas of complex topography, especially where multiple potentially Quaternary-active fault strands can be mapped.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016EA000176","usgsCitation":"DeLong, S.B., Donnellan, A., Ponti, D.J., Rubin, R.S., Lienkaemper, J.J., Prentice, C.S., Dawson, T.E., Seitz, G.G., Schwartz, D.P., Hudnut, K.W., Rosa, C.M., Pickering, A.J., and Parker, J.W., 2016, Tearing the terroir: Details and implications of surface rupture and deformation from the 24 August 2014 M6.0 South Napa earthquake, California: Earth and Space Science, v. 3, no. 10, p. 416-430, https://doi.org/10.1002/2016EA000176.","productDescription":"15 p.","startPage":"416","endPage":"430","ipdsId":"IP-070320","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470490,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016ea000176","text":"Publisher Index Page"},{"id":330908,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.5,\n 36.97622678464096\n ],\n [\n -123.5,\n 38.98503278695909\n ],\n [\n -121,\n 38.98503278695909\n ],\n [\n -121,\n 36.97622678464096\n ],\n [\n -123.5,\n 36.97622678464096\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-22","publicationStatus":"PW","scienceBaseUri":"582443f4e4b09065cdf30516","contributors":{"authors":[{"text":"DeLong, Stephen B. 0000-0002-0945-2172 sdelong@usgs.gov","orcid":"https://orcid.org/0000-0002-0945-2172","contributorId":5240,"corporation":false,"usgs":true,"family":"DeLong","given":"Stephen","email":"sdelong@usgs.gov","middleInitial":"B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":653382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donnellan, Andrea","contributorId":176745,"corporation":false,"usgs":false,"family":"Donnellan","given":"Andrea","email":"","affiliations":[{"id":18954,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":653389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ponti, Daniel J. 0000-0002-2437-5144 dponti@usgs.gov","orcid":"https://orcid.org/0000-0002-2437-5144","contributorId":1020,"corporation":false,"usgs":true,"family":"Ponti","given":"Daniel","email":"dponti@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":653383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rubin, Ron S.","contributorId":127696,"corporation":false,"usgs":false,"family":"Rubin","given":"Ron","email":"","middleInitial":"S.","affiliations":[{"id":7099,"text":"Calif. 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Geol. Survey","active":true,"usgs":false}],"preferred":false,"id":653388,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Seitz, Gordon G.","contributorId":139062,"corporation":false,"usgs":false,"family":"Seitz","given":"Gordon","email":"","middleInitial":"G.","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":653385,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schwartz, David P. 0000-0001-5193-9200 dschwartz@usgs.gov","orcid":"https://orcid.org/0000-0001-5193-9200","contributorId":1940,"corporation":false,"usgs":true,"family":"Schwartz","given":"David","email":"dschwartz@usgs.gov","middleInitial":"P.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":653386,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hudnut, Kenneth W. 0000-0002-3168-4797 hudnut@usgs.gov","orcid":"https://orcid.org/0000-0002-3168-4797","contributorId":2550,"corporation":false,"usgs":true,"family":"Hudnut","given":"Kenneth","email":"hudnut@usgs.gov","middleInitial":"W.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":653391,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rosa, Carla M. crosa@usgs.gov","contributorId":5306,"corporation":false,"usgs":true,"family":"Rosa","given":"Carla","email":"crosa@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":653393,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pickering, Alexandra J. 0000-0002-1281-6117 apickering@usgs.gov","orcid":"https://orcid.org/0000-0002-1281-6117","contributorId":5990,"corporation":false,"usgs":true,"family":"Pickering","given":"Alexandra","email":"apickering@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":653394,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Parker, Jay W.","contributorId":176746,"corporation":false,"usgs":false,"family":"Parker","given":"Jay","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":653392,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70177807,"text":"70177807 - 2016 - 3-D high-speed imaging of volcanic bomb trajectory in basaltic explosive eruptions","interactions":[],"lastModifiedDate":"2017-11-03T18:29:01","indexId":"70177807","displayToPublicDate":"2016-10-21T16:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"3-D high-speed imaging of volcanic bomb trajectory in basaltic explosive eruptions","docAbstract":"Imaging, in general, and high speed imaging in particular are important emerging tools for the study of explosive volcanic eruptions. However, traditional 2-D video observations cannot measure volcanic ejecta motion toward and away from the camera, strongly hindering our capability to fully determine crucial hazard-related parameters such as explosion directionality and pyroclasts' absolute velocity. In this paper, we use up to three synchronized high-speed cameras to reconstruct pyroclasts trajectories in three dimensions. Classical stereographic techniques are adapted to overcome the difficult observation conditions of active volcanic vents, including the large number of overlapping pyroclasts which may change shape in flight, variable lighting and clouding conditions, and lack of direct access to the target. In particular, we use a laser rangefinder to measure the geometry of the filming setup and manually track pyroclasts on the videos. This method reduces uncertainties to 10° in azimuth and dip angle of the pyroclasts, and down to 20% in the absolute velocity estimation. We demonstrate the potential of this approach by three examples: the development of an explosion at Stromboli, a bubble burst at Halema'uma'u lava lake, and an in-flight collision between two bombs at Stromboli.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GC006560","usgsCitation":"Gaudin, D., Taddeucci, J., Houghton, B.F., Orr, T.R., Andronico, D., Del Bello, E., Kueppers, U., Ricci, T., and Scarlato, P., 2016, 3-D high-speed imaging of volcanic bomb trajectory in basaltic explosive eruptions: Geochemistry, Geophysics, Geosystems, v. 17, no. 10, p. 4268-4275, https://doi.org/10.1002/2016GC006560.","productDescription":"8 p.","startPage":"4268","endPage":"4275","ipdsId":"IP-079090","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":330331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-20","publicationStatus":"PW","scienceBaseUri":"580f1db7e4b0f497e794e4c9","contributors":{"authors":[{"text":"Gaudin, D.","contributorId":176189,"corporation":false,"usgs":false,"family":"Gaudin","given":"D.","affiliations":[],"preferred":false,"id":651840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taddeucci, J","contributorId":176190,"corporation":false,"usgs":false,"family":"Taddeucci","given":"J","affiliations":[],"preferred":false,"id":651841,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":651842,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orr, Tim R. torr@usgs.gov","contributorId":139620,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":651839,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andronico, D.","contributorId":176191,"corporation":false,"usgs":false,"family":"Andronico","given":"D.","affiliations":[],"preferred":false,"id":651843,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Del Bello, E.","contributorId":176192,"corporation":false,"usgs":false,"family":"Del Bello","given":"E.","affiliations":[],"preferred":false,"id":651844,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kueppers, U.","contributorId":176193,"corporation":false,"usgs":false,"family":"Kueppers","given":"U.","email":"","affiliations":[],"preferred":false,"id":651845,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ricci, T.","contributorId":176194,"corporation":false,"usgs":false,"family":"Ricci","given":"T.","email":"","affiliations":[],"preferred":false,"id":651846,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Scarlato, P.","contributorId":176195,"corporation":false,"usgs":false,"family":"Scarlato","given":"P.","affiliations":[],"preferred":false,"id":651847,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70177792,"text":"70177792 - 2016 - Genetic and phenotypic variation along an ecological gradient in lake trout Salvelinus namaycush","interactions":[],"lastModifiedDate":"2016-10-21T12:56:28","indexId":"70177792","displayToPublicDate":"2016-10-21T13:55:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":955,"text":"BMC Evolutionary Biology","active":true,"publicationSubtype":{"id":10}},"title":"Genetic and phenotypic variation along an ecological gradient in lake trout Salvelinus namaycush","docAbstract":"Adaptive radiation involving a colonizing phenotype that rapidly evolves into at least one other ecological variant, or ecotype, has been observed in a variety of freshwater fishes in post-glacial environments. However, few studies consider how phenotypic traits vary with regard to neutral genetic partitioning along ecological gradients. Here, we present the first detailed investigation of lake trout Salvelinus namaycushthat considers variation as a cline rather than discriminatory among ecotypes. Genetic and phenotypic traits organized along common ecological gradients of water depth and geographic distance provide important insights into diversification processes in a lake with high levels of human disturbance from over-fishing.
Four putative lake trout ecotypes could not be distinguished using population genetic methods, despite morphological differences. Neutral genetic partitioning in lake trout was stronger along a gradient of water depth, than by locality or ecotype. Contemporary genetic migration patterns were consistent with isolation-by-depth. Historical gene flow patterns indicated colonization from shallow to deep water. Comparison of phenotypic (Pst) and neutral genetic variation (Fst) revealed that morphological traits related to swimming performance (e.g., buoyancy, pelvic fin length) departed more strongly from neutral expectations along a depth gradient than craniofacial feeding traits. Elevated phenotypic variance with increasing water depth in pelvic fin length indicated possible ongoing character release and diversification. Finally, differences in early growth rate and asymptotic fish length across depth strata may be associated with limiting factors attributable to cold deep-water environments.
We provide evidence of reductions in gene flow and divergent natural selection associated with water depth in Lake Superior. Such information is relevant for documenting intraspecific biodiversity in the largest freshwater lake in the world for a species that recently lost considerable genetic diversity and is now in recovery. Unknown is whether observed patterns are a result of an early stage of incipient speciation, gene flow-selection equilibrium, or reverse speciation causing formerly divergent ecotypes to collapse into a single gene pool.
Airborne light detection and ranging (lidar) is a valuable tool for collecting large amounts of elevation data across large areas; however, the limited ability to penetrate dense vegetation with lidar hinders its usefulness for measuring tidal marsh platforms. Methods to correct lidar elevation data are available, but a reliable method that requires limited field work and maintains spatial resolution is lacking. We present a novel method, the Lidar Elevation Adjustment with NDVI (LEAN), to correct lidar digital elevation models (DEMs) with vegetation indices from readily available multispectral airborne imagery (NAIP) and RTK-GPS surveys. Using 17 study sites along the Pacific coast of the U.S., we achieved an average root mean squared error (RMSE) of 0.072 m, with a 40–75% improvement in accuracy from the lidar bare earth DEM. Results from our method compared favorably with results from three other methods (minimum-bin gridding, mean error correction, and vegetation correction factors), and a power analysis applying our extensive RTK-GPS dataset showed that on average 118 points were necessary to calibrate a site-specific correction model for tidal marshes along the Pacific coast. By using available imagery and with minimal field surveys, we showed that lidar-derived DEMs can be adjusted for greater accuracy while maintaining high (1 m) resolution.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2016.09.020","usgsCitation":"Buffington, K., Dugger, B.D., Thorne, K.M., and Takekawa, J.Y., 2016, Statistical correction of lidar-derived digital elevation models with multispectral airborne imagery in tidal marshes: Remote Sensing of Environment, v. 186, p. 616-625, https://doi.org/10.1016/j.rse.2016.09.020.","productDescription":"10 p.","startPage":"616","endPage":"625","ipdsId":"IP-079777","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470492,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2016.09.020","text":"Publisher Index Page"},{"id":438533,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GJFZHT","text":"USGS data release","linkHelpText":"LEAN-Corrected Collier County DEM for wetlands"},{"id":438532,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NQZXU3","text":"USGS data release","linkHelpText":"LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019"},{"id":438531,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97R4ES3","text":"USGS data release","linkHelpText":"LEAN-Corrected DEM for Suisun Marsh"},{"id":330288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"186","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5810c528e4b0f497e7972c1e","chorus":{"doi":"10.1016/j.rse.2016.09.020","url":"http://dx.doi.org/10.1016/j.rse.2016.09.020","publisher":"Elsevier BV","authors":"Buffington Kevin J., Dugger Bruce D., Thorne Karen M., Takekawa John Y.","journalName":"Remote Sensing of Environment","publicationDate":"12/2016"},"contributors":{"authors":[{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":651789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dugger, Bruce D.","contributorId":176167,"corporation":false,"usgs":false,"family":"Dugger","given":"Bruce","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":651790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thorne, Karen M. 0000-0002-1381-0657 kthorne@usgs.gov","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":4191,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen","email":"kthorne@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":651788,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":651791,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70212562,"text":"70212562 - 2016 - Mapping annual forest cover in sub-humid and semi-arid regions through analysis of landsat and PALSAR imagery","interactions":[],"lastModifiedDate":"2020-08-21T13:59:59.041494","indexId":"70212562","displayToPublicDate":"2016-10-21T08:59:40","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Mapping annual forest cover in sub-humid and semi-arid regions through analysis of landsat and PALSAR imagery","docAbstract":"Accurately mapping the spatial distribution of forests in sub-humid to semi-arid regions over years is a challenging task and causes difficulty to forest management. Relatively large uncertainties still exist in the spatial distribution of forests and deforestation in the sub-humid and semi-arid regions. Numerous publications have used either optical or synthetic aperture radar (SAR) remote sensing imagery, but the resultant forest cover maps often have large errors. In this study, we proposed a pixel- and rule-based algorithm to identify and map annual forests from 2007 to 2010 in Oklahoma, USA, a transition region with various climate and landscapes, using the integration of the L-band ALOS PALSAR Fine Beam Dual Polarization (FBD) mosaic dataset and Landsat images. The overall accuracy and Kappa coefficient of the PALSAR/Landsat forest map were about 88.2% and 0.75 in 2010, with the user and producer accuracy about 93.4% and 75.7%, based on the 3,270 random ground plots collected in 2012 and 2013. Compared with the forest products from JAXA, NLCD, OKESM and OKFRA, the PALSAR/Landsat forest map showed great improvement. The area of the PALSAR/Landsat forest was about 40,149 km2 in 2010, which was close to the area from OKFRA (40,468 km2), but much larger than those from JAXA (32,403 km2) and NLCD (37,628 km2). We analyzed annual forest cover dynamics, and the results show extensive deforestation (2,761 km2, 6.9% of the total forest area in 2010) and reforestation (3,630 km2, 9.0%) in the southeast and central Oklahoma, and the total area of forests increased by 684 km2 from 2007 to 2010. This study clearly demonstrates the potential of data fusion between PALSAR and Landsat images for mapping annual forest cover dynamics in sub-humid to semi-arid regions, and the resultant forest maps would be helpful to forest management.","language":"English","publisher":"MDPI","doi":"10.3390/rs8110933","usgsCitation":"Qin, Y., Xiao, X., Wang, J., Dong, J., Ewing, K., Hoagland, B., Hough, D.J., Fagin, T.D., Zou, Z., Geissler, G.L., Xian, G.Z., and Loveland, T., 2016, Mapping annual forest cover in sub-humid and semi-arid regions through analysis of landsat and PALSAR imagery: Remote Sensing, v. 8, no. 11, 933, 19 p., https://doi.org/10.3390/rs8110933.","productDescription":"933, 19 p.","ipdsId":"IP-080582","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470493,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs8110933","text":"Publisher Index 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Oklahoma","active":true,"usgs":false}],"preferred":false,"id":796876,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hough, Daniel J","contributorId":238910,"corporation":false,"usgs":false,"family":"Hough","given":"Daniel","email":"","middleInitial":"J","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":796877,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fagin, Todd D","contributorId":238913,"corporation":false,"usgs":false,"family":"Fagin","given":"Todd","email":"","middleInitial":"D","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":796878,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zou, Zhenhua","contributorId":224062,"corporation":false,"usgs":false,"family":"Zou","given":"Zhenhua","email":"","affiliations":[],"preferred":false,"id":796879,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Geissler, George L.","contributorId":239086,"corporation":false,"usgs":false,"family":"Geissler","given":"George","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":797002,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Xian, George Z. 0000-0001-5674-2204 xian@usgs.gov","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":2263,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"xian@usgs.gov","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":796880,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Loveland, Thomas 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140611,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":797003,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70177683,"text":"sir20165035 - 2016 - Simulated effects of groundwater withdrawals from aquifers in Ocean County and vicinity, New Jersey","interactions":[],"lastModifiedDate":"2016-12-16T09:51:41","indexId":"sir20165035","displayToPublicDate":"2016-10-21T02:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5035","title":"Simulated effects of groundwater withdrawals from aquifers in Ocean County and vicinity, New Jersey","docAbstract":"Rapid population growth since the 1930s in Ocean County and vicinity, New Jersey, has placed increasing demands upon the area’s freshwater resources. To examine effects of groundwater withdrawals, a three-dimensional groundwater-flow model was developed to simulate the groundwater-flow systems of five area aquifers: the unconfined Kirkwood-Cohansey aquifer system and Vincentown aquifer, and three confined aquifers— the Rio Grande water-bearing zone, the Atlantic City 800-foot sand, and the Piney Point aquifer. The influence of withdrawals is evaluated by using transient groundwater-flow model simulations that incorporate three withdrawal schemes. These are (1) no-withdrawal conditions; (2) 2000–03 withdrawal conditions, using reported monthly withdrawals at all production wells from January 2000 through December 2003; and (3) maximum-allocation withdrawal conditions using the maximum withdrawal allowed by New Jersey Department of Environmental Protection permits at each well. Particle tracking analysis, using results from model simulations, delineated particle flow paths from production wells to the point of recharge, and estimated particle travel times.
Compared with no-withdrawal conditions, 2000–03 withdrawal conditions reduced the amount of groundwater flow out of the Kirkwood-Cohansey aquifer system into streams, increased the net flow of water into other layers, reduced net flow into or out of storage, and reduced flow from the Kirkwood-Cohansey aquifer system to constant head cells.
Freshwater discharging to the Barnegat Bay-Little Egg Harbor estuary from streams and groundwater is essential to maintaining the ecology of the bay. Examination of selected stress periods indicates that simulated base flow in streams flowing into the Barnegat Bay-Little Egg Harbor estuary is reduced by as much as 49 cubic feet per second for 2000 to 2003 withdrawal conditions when compared with no-withdrawal conditions.
In the three confined aquifers, water levels during periods of low recharge and high withdrawals, and high recharge and low withdrawals, were examined to determine seasonal effects on the confined flow systems. The simulated potentiometric surface of the Rio Grande water-bearing zone and the Atlantic City 800-foot sand during selected stress periods indicates substantial declines from no-withdrawal conditions to 2000–03 conditions as a result of groundwater withdrawals. Cones of depression in Toms River Township, Seaside Heights and Seaside Park Boroughs, and Barnegat Light Borough developed in the potentiometric surface of the Piney Point aquifer in response to withdrawals.
Maximum-allocation withdrawals decreased flow out of the Kirkwood-Cohansey aquifer system to constant head cells, increased flow out of the aquifer system to adjacent and lower layers, and reduced groundwater discharge to streams when compared with 2000–03 withdrawal conditions. Increases in withdrawals from the Rio Grande water-bearing zone, the Atlantic City 800-foot sand, and the Piney Point aquifer result in an increase in simulated net groundwater flow into these aquifers. Base-flow reduction from 2000–03 conditions to maximum-allocation conditions of 25 to 29 cubic feet per second in all streams draining to the Barnegat Bay-Little Egg Harbor also is indicated. Potentiometric surfaces of the Rio Grande water-bearing zone, Atlantic City 800-foot sand, and the Piney Point aquifer during two stress periods of simulated maximum-allocation withdrawal conditions indicated the expansion of several cones of depression developed during 2000–03 withdrawals.
Simulation of average 2000–03 withdrawal conditions indicated the extent to which the groundwater-flow system is susceptible to potential saltwater intrusion into near-shore wells. Travel time from recharge to discharge location ranged from 11 to approximately 50,700 years in near-shore Kirkwood-Cohansey aquifer system wells. Those in Seaside Heights Borough, in Island Beach State Park (Berkeley Township), and in Ship Bottom Borough have particle travel times from 140 to 12,000 years and flow paths that originated under Barnegat Bay or the Atlantic Ocean from the simulation of average maximum-allocation withdrawal conditions.
Travel time along flow paths to wells screened in the Rio Grande water-bearing zone and the Atlantic City 800-foot sand from recharge to discharge point ranged from nearly 530 years to greater than 3.73 million years from the simulation of average 2000–03 withdrawal conditions. Particle tracking indicated that most wells screened in these aquifers derived a large part of their recharge from the Oswego River Basin, with a small portion of flow originating either beneath Barnegat Bay or to the east beneath the Atlantic Ocean. Travel time along flow paths that start beneath either Barnegat Bay or the Atlantic Ocean ranged from 2,300 to approximately 134,000 years from the simulation of average maximum-allocation withdrawal conditions.\"
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165035","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Cauller, S.J., Voronin, L.M., and Chepiga, M.M., 2016, Simulated effects of groundwater withdrawals from aquifers in Ocean County and vicinity, New Jersey: U.S. Geological Survey Scientific Investigations Report 2016–5035, 77 p., https://dx.doi.org/10.3133/sir20165035.","productDescription":"x, 77 p.","numberOfPages":"92","onlineOnly":"Y","ipdsId":"IP-020396","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":438535,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7H99392","text":"USGS data release","linkHelpText":"MODFLOW2005 model used to simulate the effects of groundwater withdrawals from aquifers in Ocean County and vicinity, New Jersey"},{"id":330264,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5035/coverthb.jpg"},{"id":330265,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5035/sir20165035.pdf","text":"Report","size":"47.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5035 Report"},{"id":332215,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7H99392"}],"country":"United States","state":"New Jersey","county":"Ocean County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.03549194335938,\n 40.10118506258701\n ],\n [\n -74.04647827148438,\n 40.10538669840983\n ],\n [\n -74.0643310546875,\n 40.092781012494065\n ],\n [\n -74.09042358398438,\n 40.10013461308659\n ],\n [\n -74.08905029296875,\n 40.12219064672336\n ],\n [\n -74.19754028320312,\n 40.20195268954057\n ],\n [\n -74.33212280273438,\n 40.22397567550632\n ],\n [\n -74.55459594726562,\n 40.08122374895389\n ],\n [\n -74.53399658203125,\n 39.68393975392731\n ],\n [\n -74.45709228515625,\n 39.577114881737586\n ],\n [\n -74.4158935546875,\n 39.536880650643056\n ],\n [\n -74.410400390625,\n 39.49874248613119\n ],\n [\n -74.3609619140625,\n 39.487084981687495\n ],\n [\n -74.32525634765625,\n 39.49556336059472\n ],\n [\n -74.2401123046875,\n 39.46058338433589\n ],\n [\n -74.02999877929686,\n 39.74521015328692\n ],\n [\n -73.9764404296875,\n 40.091730433255\n ],\n [\n -74.03549194335938,\n 40.10118506258701\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
http://nj.usgs.gov
Plastic debris is a growing contaminant of concern in freshwater environments, yet sources, transport, and fate remain unclear. This study characterized the quantity and morphology of floating micro- and macroplastics in 29 Great Lakes tributaries in six states under different land covers, wastewater effluent contributions, population densities, and hydrologic conditions. Tributaries were sampled three or four times each using a 333 μm mesh neuston net. Plastic particles were sorted by size, counted, and categorized as fibers/lines, pellets/beads, foams, films, and fragments. Plastics were found in all 107 samples, with a maximum concentration of 32 particles/m3 and a median of 1.9 particles/m3. Ninety-eight percent of sampled plastic particles were less than 4.75 mm in diameter and therefore considered microplastics. Fragments, films, foams, and pellets/beads were positively correlated with urban-related watershed attributes and were found at greater concentrations during runoff-event conditions. Fibers, the most frequently detected particle type, were not associated with urban-related watershed attributes, wastewater effluent contribution, or hydrologic condition. Results from this study add to the body of information currently available on microplastics in different environmental compartments, including unique contributions to quantify their occurrence and variability in rivers with a wide variety of different land-use characteristics while highlighting differences between surface samples from rivers compared with lakes.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.6b02917","usgsCitation":"Baldwin, A.K., Corsi, S., and Mason, S.A., 2016, Plastic debris in 29 Great Lakes tributaries: Relations to watershed attributes and hydrology: Environmental Science & Technology, v. 50, no. 19, p. 10377-10385, https://doi.org/10.1021/acs.est.6b02917.","productDescription":"9 p.","startPage":"10377","endPage":"10385","ipdsId":"IP-074452","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":470494,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.6b02917","text":"Publisher Index Page"},{"id":438536,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ZC80ZP","text":"USGS data release","linkHelpText":"Microplastics in 29 Great Lakes tributaries (2014-15)"},{"id":330332,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7ZC80ZP"},{"id":330289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.87841796875,\n 41.07935114946899\n ],\n [\n -92.87841796875,\n 46.7549166192819\n ],\n [\n -77.47558593749999,\n 46.7549166192819\n ],\n [\n -77.47558593749999,\n 41.07935114946899\n ],\n [\n -92.87841796875,\n 41.07935114946899\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"50","issue":"19","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-14","publicationStatus":"PW","scienceBaseUri":"5810c529e4b0f497e7972c22","contributors":{"authors":[{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mason, Sherri A.","contributorId":176172,"corporation":false,"usgs":false,"family":"Mason","given":"Sherri","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":651803,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70177110,"text":"ofr20161180 - 2016 - Selected techniques for monitoring water movement through unsaturated alluvium during managed aquifer recharge","interactions":[],"lastModifiedDate":"2019-12-27T11:30:40","indexId":"ofr20161180","displayToPublicDate":"2016-10-21T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1180","title":"Selected techniques for monitoring water movement through unsaturated alluvium during managed aquifer recharge","docAbstract":"Managed aquifer recharge is used to augment natural recharge to aquifers. It can be used to replenish aquifers depleted by pumping or to store water during wetter years for withdrawal during drier years. Infiltration from ponds is a commonly used, inexpensive approach for managed aquifer recharge.
At some managed aquifer-recharge sites, the time when infiltrated water arrives at the water table is not always clearly shown by water-level data. As part of site characterization and operation, it can be desirable to track downward movement of infiltrated water through the unsaturated zone to identify when it arrives at the water table.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161180","collaboration":"Prepared in cooperation with the Antelope Valley-East Kern Water Agency","usgsCitation":"Nawikas, J.M, O’Leary, D.R., Izbicki, J.A., and Burgess, M.K., 2016, Selected techniques for monitoring water movement through unsaturated alluvium during managed aquifer recharge: U.S. Geological Survey Open-File Report 2016–5105, 8 p., https://dx.doi.org/10.3133/ofr20161180.","productDescription":"8 p.","numberOfPages":"8","onlineOnly":"Y","ipdsId":"IP-060596","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":329775,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1180/coverthb.jpg"},{"id":329776,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1180/ofr20161180.pdf","text":"Report","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1180"}],"country":"United States","state":"California","otherGeospatial":"Antelope Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.795166015625,\n 34.474863669009004\n ],\n [\n -117.20214843749999,\n 34.474863669009004\n ],\n [\n -117.20214843749999,\n 35.106428057364255\n ],\n [\n -118.795166015625,\n 35.106428057364255\n ],\n [\n -118.795166015625,\n 34.474863669009004\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Joseph Nawikas
4165 Spruance Road, Suite 200
San Diego, CA 92101
(619) 225-6148
jnawika@usgs.gov
The Wyoming Landscape Conservation Initiative (WLCI) is a successful example of collaboration between science and natural resource management at the landscape scale. In southwestern Wyoming, expanding energy and mineral development, urban growth, and other changes in land use over recent decades, combined with landscape-scale drivers such as climate change and invasive species, have presented compelling challenges to resource managers and a diverse group of Federal, State, industry, and non-governmental organizations, as well as citizen stakeholders. To address these challenges, the WLCI was established as a collaborative forum and interagency partnership to develop and implement science-based conservation actions. About a decade after being established, this report documents the establishment and history of the WLCI, focusing on the path to success of the initiative and providing insights and details that may be useful in developing similar partnerships in other locations. Not merely retrospective, the elements of the WLCI that are presented herein are still in play, still evolving, and still contributing to the resolution of compelling conservation challenges in the Western United States.
The U.S. Geological Survey has developed many successful longstanding partnerships, of which the WLCI is one example.
“As the Nation’s largest water, earth, and biological science and civilian mapping agency, the U.S. Geological Survey collects, monitors, analyzes, and provides scientific understanding about natural resource conditions, issues, and problems. The diversity of our scientific expertise enables us to carry out large-scale, multi-disciplinary investigations and provide impartial scientific information to resource managers, planners, and other customers” (U.S. Geological Survey, 2016).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1423","usgsCitation":"D’Erchia, Frank, 2016, Wyoming Landscape Conservation Initiative—A case study in partnership development: U.S. Geological Survey Circular 1423, 17 p., https://dx.doi.org/10.3133/cir1423.","productDescription":"vi, 17 p.","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-075303","costCenters":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"links":[{"id":329717,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1423/cir1423.pdf","text":"Report","size":"7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1423"},{"id":329716,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1423/coverthb.jpg"}],"country":"United 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Geological Survey
Northwest Region
909 1st Ave.
Seattle, Washington 98104
https://www.usgs.gov/science
/regions/northwest
Notoedric mange, caused by obligately parasitic sarcoptiform Notoedres mites, is associated with potentially fatal dermatitis with secondary systemic disease in small mammals, felids and procyonids among others, as well as an occasional zoonosis. We describe clinical spectra in non-chiropteran hosts, review risk factors and summarize ecological and epidemiological studies. The genus is disproportionately represented on rodents. Disease in felids and procyonids ranges from very mild to death. Knowledge of the geographical distribution of the mites is highly inadequate, with focal hot spots known for Notoedres cati in domestic cats and bobcats. Predisposing genetic and immunological factors are not known, except that co-infection with other parasites and anticoagulant rodenticide toxicoses may contribute to severe disease. Treatment of individual animals is typically successful with macrocytic lactones such as selamectin, but herd or wildlife population treatment has not been undertaken. Transmission requires close contact and typically is within a host species. Notoedric mange can kill half all individuals in a population and regulate host population below non-diseased density for decades, consistent with frequency-dependent transmission or spillover from other hosts. Epidemics are increasingly identified in various hosts, suggesting global change in suitable environmental conditions or increased reporting bias.
","language":"English","publisher":"Cambridge University Press","publisherLocation":"London","doi":"10.1017/S0031182016001505","usgsCitation":"Foley, J.E., Serieys, L., Stephenson, N., Riley, S., Foley, C., Jennings, M., Wengert, G., Vickers, W., Boydston, E.E., Lyren, L.L., Moriarty, J., and Clifford, D., 2016, A synthetic review of notoedres species mites and mange: Parasitology, v. 143, no. 14, p. 1847-1861, https://doi.org/10.1017/S0031182016001505.","productDescription":"15 p.","startPage":"1847","endPage":"1861","ipdsId":"IP-076973","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":330280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","issue":"14","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-09","publicationStatus":"PW","scienceBaseUri":"5809d7c1e4b0f497e78fca42","contributors":{"authors":[{"text":"Foley, Janet E.","contributorId":148029,"corporation":false,"usgs":false,"family":"Foley","given":"Janet","email":"","middleInitial":"E.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":651773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Serieys, L.E.","contributorId":176157,"corporation":false,"usgs":false,"family":"Serieys","given":"L.E.","email":"","affiliations":[],"preferred":false,"id":651774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stephenson, N.","contributorId":176158,"corporation":false,"usgs":false,"family":"Stephenson","given":"N.","email":"","affiliations":[],"preferred":false,"id":651775,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Riley, S.","contributorId":176159,"corporation":false,"usgs":false,"family":"Riley","given":"S.","email":"","affiliations":[],"preferred":false,"id":651776,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foley, C.","contributorId":176160,"corporation":false,"usgs":false,"family":"Foley","given":"C.","email":"","affiliations":[],"preferred":false,"id":651777,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jennings, M.","contributorId":176161,"corporation":false,"usgs":false,"family":"Jennings","given":"M.","affiliations":[],"preferred":false,"id":651778,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wengert, G.","contributorId":176162,"corporation":false,"usgs":false,"family":"Wengert","given":"G.","affiliations":[],"preferred":false,"id":651779,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vickers, W.","contributorId":176163,"corporation":false,"usgs":false,"family":"Vickers","given":"W.","email":"","affiliations":[],"preferred":false,"id":651780,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Boydston, Erin E. 0000-0002-8452-835X eboydston@usgs.gov","orcid":"https://orcid.org/0000-0002-8452-835X","contributorId":1705,"corporation":false,"usgs":true,"family":"Boydston","given":"Erin","email":"eboydston@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":651772,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lyren, Lisa L.","contributorId":166968,"corporation":false,"usgs":false,"family":"Lyren","given":"Lisa","email":"","middleInitial":"L.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":651783,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Moriarty, J.","contributorId":176164,"corporation":false,"usgs":false,"family":"Moriarty","given":"J.","email":"","affiliations":[],"preferred":false,"id":651781,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Clifford, D.L.","contributorId":176165,"corporation":false,"usgs":false,"family":"Clifford","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":651782,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70177104,"text":"ofr20161104 - 2016 - Abstract volume for the 2016 biennial meeting of the Yellowstone Volcano Observatory","interactions":[],"lastModifiedDate":"2016-10-21T09:26:20","indexId":"ofr20161104","displayToPublicDate":"2016-10-20T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1104","title":"Abstract volume for the 2016 biennial meeting of the Yellowstone Volcano Observatory","docAbstract":"Every two years, scientists, natural resource managers, outreach specialists, and a variety of other interested parties get together for the biennial meeting of the Yellowstone Volcano Observatory (YVO). Each time, the theme varies. In past years, we have focused the meeting around topics including monitoring plans, emergency response, geodesy, and outreach. This year, we spent the first half-day devoted to recent research results, plans for upcoming studies, and geothermal monitoring. On the second day, our focus switched to eruption precursors, particularly as they apply to large caldera systems.
Very few large explosive eruptions from caldera systems have taken place in recorded history. Therefore, there are few empirical data with which to characterize the nature of volcanic unrest that might precede eruptions with volcano explosivity index (VEI) of six or greater. For this reason, we set up a series of talks that explore what we know and don’t know about large eruptions. We performed an informal expert elicitation (a frequently used method to characterize expert opinion) with a small number of our colleagues, which served as the basis for a productive discussion session.
This short volume of abstracts and extended abstracts provides a summary of the presentations made at the YVO meeting held in Mammoth Hot Springs, Wyoming, on May 10–11, 2016.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161104","usgsCitation":"Lowenstern, J.B., ed., 2016, Abstract volume for the 2016 biennial meeting of the Yellowstone Volcano Observatory: U.S. Geological Survey Open-File Report 2016–1104, 46 p., https://www.dx.doi.org/10.3133/ofr20161104","productDescription":"iii, 46 p.","numberOfPages":"52","onlineOnly":"Y","ipdsId":"IP-076807","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":329774,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1104/ofr20161104.pdf","text":"Report","size":"4.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1104"},{"id":329773,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1104/coverthb.jpg"}],"contact":"Contact YVO
Volcano Science Center, Yellowstone Volcano Observatory
U.S. Geological Survey
345 Middlefield Road, MS 910
Menlo Park, CA 94025
http://volcanoes.usgs.gov/yvo/
We used 22 yr of capture–mark–reencounter (CMR) data collected from 1988 to 2009 on about 12,500 birds at what went from three to five coastal colony sites in Massachusetts, New York, and Connecticut, United States, to examine spatial and temporal variation in breeding dispersal/fidelity rates of adult Roseate Terns (Sterna dougallii). At the start of our study, Roseate Terns nested at only one site (Bird Island) in Buzzards Bay, Massachusetts, but two more sites in this bay (Ram and Penikese Islands) were subsequently recolonized and became incorporated into our CMR metapopulation study. We examined four major hypotheses about factors we thought might influence colony-site fidelity and movement rates in the restructured system. We found some evidence that colony-site fidelity remained higher at long-established sites compared with newer ones and that breeding dispersal was more likely to occur among nearby sites than distant ones. Sustained predation at Falkner Island, Connecticut, did not result in a sustained drop in fidelity rates of breeders. Patterns of breeding dispersal differed substantially at the two restored sites. The fidelity of Roseate Terns at Bird dropped quickly after nearby Ram was recolonized in 1994, and fidelity rates for Ram soon approached those for Bird. After an oil spill in Buzzards Bay in April 2003, hazing (deliberate disturbance) of the terns at Ram prior to the start of egg-laying resulted in lowering of fidelity at this site, a decrease in immigration from Bird, and recolonization of Penikese by Roseate Terns. Annual fidelity rates at Penikese increased somewhat several years after the initial recolonization, but they remained much lower there than at all the other sites throughout the study period. The sustained high annual rates of emigration from Penikese resulted in the eventual failure of the restoration effort there, and in 2013, no Roseate Terns nested at this site.
","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1002/ecs2.1510","usgsCitation":"Spendelow, J.A., Monticelli, D., Nichols, J.D., Hines, J.E., Nisbet, I., Cormons, G., Hays, H., Hatch, J., and Mostello, C., 2016, Roseate Tern breeding dispersal and fidelity: Responses to two newly restored colony sites: Ecosphere, v. 7, no. 10, p. 1-16, https://doi.org/10.1002/ecs2.1510.","productDescription":"e01510; 16 p.","startPage":"1","endPage":"16","numberOfPages":"16","ipdsId":"IP-073068","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470495,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1510","text":"Publisher Index Page"},{"id":330240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Massachusetts, New York, Rhode 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Carolyn","contributorId":176117,"corporation":false,"usgs":false,"family":"Mostello","given":"Carolyn","email":"","affiliations":[],"preferred":false,"id":651644,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70177776,"text":"70177776 - 2016 - Importance of regional variation in conservation planning: A rangewide example of the Greater Sage-Grouse","interactions":[],"lastModifiedDate":"2016-10-20T16:27:31","indexId":"70177776","displayToPublicDate":"2016-10-20T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Importance of regional variation in conservation planning: A rangewide example of the Greater Sage-Grouse","docAbstract":"We developed rangewide population and habitat models for Greater Sage-Grouse (Centrocercus urophasianus) that account for regional variation in habitat selection and relative densities of birds for use in conservation planning and risk assessments. We developed a probabilistic model of occupied breeding habitat by statistically linking habitat characteristics within 4 miles of an occupied lek using a nonlinear machine learning technique (Random Forests). Habitat characteristics used were quantified in GIS and represent standard abiotic and biotic variables related to sage-grouse biology. Statistical model fit was high (mean correctly classified = 82.0%, range = 75.4–88.0%) as were cross-validation statistics (mean = 80.9%, range = 75.1–85.8%). We also developed a spatially explicit model to quantify the relative density of breeding birds across each Greater Sage-Grouse management zone. The models demonstrate distinct clustering of relative abundance of sage-grouse populations across all management zones. On average, approximately half of the breeding population is predicted to be within 10% of the occupied range. We also found that 80% of sage-grouse populations were contained in 25–34% of the occupied range within each management zone. Our rangewide population and habitat models account for regional variation in habitat selection and the relative densities of birds, and thus, they can serve as a consistent and common currency to assess how sage-grouse habitat and populations overlap with conservation actions or threats over the entire sage-grouse range. We also quantified differences in functional habitat responses and disturbance thresholds across the Western Association of Fish and Wildlife Agencies (WAFWA) management zones using statistical relationships identified during habitat modeling. Even for a species as specialized as Greater Sage-Grouse, our results show that ecological context matters in both the strength of habitat selection (i.e., functional response curves) and response to disturbance.
","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1002/ecs2.1462","usgsCitation":"Doherty, K., Evans, J.S., Coates, P.S., Juliusson, L., and Fedy, B., 2016, Importance of regional variation in conservation planning: A rangewide example of the Greater Sage-Grouse: Ecosphere, v. 7, no. 10, e01462: 27 p., https://doi.org/10.1002/ecs2.1462.","productDescription":"e01462: 27 p.","ipdsId":"IP-073764","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470497,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1462","text":"Publisher Index Page"},{"id":330281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.79394531249999,\n 35.67514743608467\n ],\n [\n -123.79394531249999,\n 47.54687159892238\n ],\n [\n -101.77734374999999,\n 47.54687159892238\n ],\n [\n -101.77734374999999,\n 35.67514743608467\n ],\n [\n -123.79394531249999,\n 35.67514743608467\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"10","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-13","publicationStatus":"PW","scienceBaseUri":"5809d7c2e4b0f497e78fca46","contributors":{"authors":[{"text":"Doherty, Kevin 0000-0003-3635-7346","orcid":"https://orcid.org/0000-0003-3635-7346","contributorId":176149,"corporation":false,"usgs":false,"family":"Doherty","given":"Kevin","email":"","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":true,"id":651763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Jeffrey S.","contributorId":171756,"corporation":false,"usgs":false,"family":"Evans","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":651764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":651762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Juliusson, Lara","contributorId":171757,"corporation":false,"usgs":false,"family":"Juliusson","given":"Lara","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":651765,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fedy, Bradley C.","contributorId":40536,"corporation":false,"usgs":true,"family":"Fedy","given":"Bradley C.","affiliations":[],"preferred":false,"id":651766,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70177753,"text":"70177753 - 2016 - Incorporating imperfect detection into joint models of communites: A response to Warton et al.","interactions":[],"lastModifiedDate":"2016-10-20T11:48:30","indexId":"70177753","displayToPublicDate":"2016-10-20T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3653,"text":"Trends in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating imperfect detection into joint models of communites: A response to Warton et al.","docAbstract":"Warton et al. [1] advance community ecology by describing a statistical framework that can jointly model abundances (or distributions) across many taxa to quantify how community properties respond to environmental variables. This framework specifies the effects of both measured and unmeasured (latent) variables on the abundance (or occurrence) of each species. Latent variables are random effects that capture the effects of both missing environmental predictors and correlations in parameter values among different species. As presented in Warton et al., however, the joint modeling framework fails to account for the common problem of detection or measurement errors that always accompany field sampling of abundance or occupancy, and are well known to obscure species- and community-level inferences.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.tree.2016.07.009","collaboration":"Steven R. Beissinger1, Kelly J. Iknayan1, Elise F. Zipkin2, Robert M. Dorazio3, J. Andrew Royle4, and Marc Kéry5.","usgsCitation":"Beissinger, S.R., Iknayan, K.J., Guillera-Arroita, G., Zipkin, E., Dorazio, R., Royle, A., and Kery, M., 2016, Incorporating imperfect detection into joint models of communites: A response to Warton et al.: Trends in Ecology and Evolution, v. 31, no. 10, p. 736-737, https://doi.org/10.1016/j.tree.2016.07.009.","productDescription":"2 p.","startPage":"736","endPage":"737","ipdsId":"IP-076941","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470496,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/content/qt161109f9/qt161109f9.pdf","text":"External Repository"},{"id":330241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"10","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5809d7c2e4b0f497e78fca4b","contributors":{"authors":[{"text":"Beissinger, Steven R.","contributorId":100534,"corporation":false,"usgs":true,"family":"Beissinger","given":"Steven","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":651646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iknayan, Kelly J.","contributorId":77835,"corporation":false,"usgs":true,"family":"Iknayan","given":"Kelly","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":651647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guillera-Arroita, Gurutzeta","contributorId":149296,"corporation":false,"usgs":false,"family":"Guillera-Arroita","given":"Gurutzeta","email":"","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":651648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zipkin, Elise ezipkin@usgs.gov","contributorId":470,"corporation":false,"usgs":true,"family":"Zipkin","given":"Elise","email":"ezipkin@usgs.gov","affiliations":[],"preferred":true,"id":651649,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dorazio, Robert 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":172151,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"preferred":true,"id":651650,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":651645,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kery, Marc","contributorId":168361,"corporation":false,"usgs":false,"family":"Kery","given":"Marc","affiliations":[{"id":12551,"text":"Swiss Ornithological Institute, Sempach, Switzerland","active":true,"usgs":false}],"preferred":false,"id":651651,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70177099,"text":"70177099 - 2016 - Low-δD hydration rinds in Yellowstone perlites record rapid syneruptive hydration during glacial and interglacial conditions","interactions":[],"lastModifiedDate":"2016-10-19T10:27:12","indexId":"70177099","displayToPublicDate":"2016-10-19T11:20:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1336,"text":"Contributions to Mineralogy and Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Low-δD hydration rinds in Yellowstone perlites record rapid syneruptive hydration during glacial and interglacial conditions","docAbstract":"Hydration of silicic volcanic glass forms perlite, a dusky, porous form of altered glass characterized by abundant “onion-skin” fractures. The timing and temperature of perlite formation are enigmatic and could plausibly occur during eruption, during post-eruptive cooling, or much later at ambient temperatures. To learn more about the origin of natural perlite, and to fingerprint the hydration waters, we investigated perlitic glass from several synglacial and interglacial rhyolitic lavas and tuffs from the Yellowstone volcanic system. Perlitic cores are surrounded by a series of conchoidal cracks that separate 30- to 100-µm-thick slivers, likely formed in response to hydration-induced stress. H2O and D/H profiles confirm that most D/H exchange happens together with rapid H2O addition but some smoother D/H variations may suggest separate minor exchange by deuterium atom interdiffusion following hydration. The hydrated rinds (2–3 wt% H2O) transition rapidly (within 30 µm, or by 1 wt% H2O per 10 µm) to unhydrated glass cores. This is consistent with quenched “hydration fronts” where H2O diffusion coefficients are strongly dependent on H2O concentrations. The chemical, δ18O, and δD systematics of bulk glass records last equilibrium between ~110 and 60 °C without chemical exchange but with some δ18O exchange. Similarly, the δ18O of water extracted from glass by rapid heating suggests that water was added to the glass during cooling at <200 °C. Our observations support fast hydration at temperatures as low as 60 °C; prolonged exposure to high temperature of 175°–225° during water addition is less likely as the glass would lose alkalies and should alter to clays within days. A compilation of low-temperature hydration diffusion coefficients suggests ~2 orders of magnitude higher rates of diffusion at 60–110 °C temperatures, compared with values expected from extrapolation of high-temperature (>400 °C) experimental data. The thick hydration rinds in perlites, measuring hundreds of microns, preserve the original D/H values of hydrating water as a recorder of paleoclimate conditions. Measured δD values in perlitic lavas are −150 to −191 or 20–40 ‰ lower than glass hydrated by modern Yellowstone waters. This suggests that Yellowstone perlites record the low-δD signature of glacial ice. Cooling calculations, combined with the observed high water diffusion coefficients noted for 60–150 °C, suggest that if sufficient hot water or steam is available, any rhyolite flow greater than ~5 m thick can develop the observed ~250-µm hydration rinds within the expected timescale of cooling (weeks–years). As the process of hydration involves shattering of 30- to 100-µm-thick slivers to expose unhydrated rhyolite glass, the time required for hydration may be even shorter. Rapid hydration and formation of relatively thick-walled glass shards allow perlites to provide a snapshot view of the meteoric water (and thus climate) at the time of initial alteration. Perlites retain their initial hydration D/H signal better than thin-walled ash, which in contrast hydrates over many thousands of years with time-averaged precipitation.
","language":"English","publisher":"Springer","doi":"10.1007/s00410-016-1293-1","usgsCitation":"Bindeman, I.N., and Lowenstern, J.B., 2016, Low-δD hydration rinds in Yellowstone perlites record rapid syneruptive hydration during glacial and interglacial conditions: Contributions to Mineralogy and Petrology, v. 171, p. 1-24, https://doi.org/10.1007/s00410-016-1293-1.","productDescription":"Article 89; 24 p.","startPage":"1","endPage":"24","ipdsId":"IP-075820","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":329731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"171","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-15","publicationStatus":"PW","scienceBaseUri":"58088685e4b0f497e78e24b5","contributors":{"authors":[{"text":"Bindeman, Ilya N.","contributorId":175500,"corporation":false,"usgs":false,"family":"Bindeman","given":"Ilya","email":"","middleInitial":"N.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":651264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":651263,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70177109,"text":"70177109 - 2016 - Effects of seasonal drawdowns on fish assemblages in sections of an impounded river-canal system in upstate New York","interactions":[],"lastModifiedDate":"2016-10-19T10:19:56","indexId":"70177109","displayToPublicDate":"2016-10-19T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Effects of seasonal drawdowns on fish assemblages in sections of an impounded river-canal system in upstate New York","docAbstract":"The Mohawk River and New York State Barge Canal run together as a series of permanent and temporary impoundments for most of the distance between Rome and Albany, New York. The downstream or lower section is composed of two permanent impoundments, the middle section of a series of temporary (seasonal) impoundments, and the upper section of a series of permanent impoundments. In the middle section, movable dams are lifted from the water during winter and the wetted surface area decreases by 36–56%. We used boat electrofishing during spring 2014 and 2015 to compare the relative abundance of fish populations and the composition of fish assemblages between the permanently and seasonally impounded sections of the Barge Canal and to infer the effects of the two flow management practices. A total of 3,264 individuals from 38 species were captured, and total catch per unit effort (CPUE) ranged from 46.0 to 134.7 fish/h at sites in the seasonally impounded section, compared with 140.0–342.0 fish/h in the permanent lower section and 89.0–282.0 fish/h in the permanent upper section. The amount of drawdown explained 55% of the variation in total CPUE and was a highly significant predictor variable. Mean total CPUE in the seasonally impounded section was significantly lower (by about 50%) than that in either permanently impounded section, and the assemblage composition differed significantly between sections. The relative abundance of many lentic species was markedly lower in the seasonally impounded section, while the relative abundance of several native cyprinids and the percentage of individuals belonging to species that are native to the watershed was greater in this section. Overall, these findings suggest that winter dam removal in impounded rivers may reduce the abundance of fish but may also create more natural riverine conditions that favor some native species.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2016.1223751","usgsCitation":"George, S.D., Baldigo, B.P., and Wells, S.M., 2016, Effects of seasonal drawdowns on fish assemblages in sections of an impounded river-canal system in upstate New York: Transactions of the American Fisheries Society, v. 145, no. 6, p. 1348-1357, https://doi.org/10.1080/00028487.2016.1223751.","productDescription":"10 p.","startPage":"1348","endPage":"1357","ipdsId":"IP-069683","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":470498,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Effects_of_Seasonal_Drawdowns_on_Fish_Assemblages_in_Sections_of_an_Impounded_River_Canal_System_in_Upstate_New_York/4029342","text":"External Repository"},{"id":329729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Mohawk River Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.55023193359374,\n 42.61577022637093\n ],\n [\n -75.55023193359374,\n 43.36512572875844\n ],\n [\n -73.6578369140625,\n 43.36512572875844\n ],\n [\n -73.6578369140625,\n 42.61577022637093\n ],\n [\n -75.55023193359374,\n 42.61577022637093\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"145","issue":"6","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-14","publicationStatus":"PW","scienceBaseUri":"58088685e4b0f497e78e24b7","chorus":{"doi":"10.1080/00028487.2016.1223751","url":"http://dx.doi.org/10.1080/00028487.2016.1223751","publisher":"Informa UK Limited","authors":"George Scott D., Baldigo Barry P., Wells Scott M.","journalName":"Transactions of the American Fisheries Society","publicationDate":"10/14/2016"},"contributors":{"authors":[{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wells, Scott M","contributorId":175502,"corporation":false,"usgs":false,"family":"Wells","given":"Scott","email":"","middleInitial":"M","affiliations":[{"id":27581,"text":"NY State Dept of Conservation Region 4 Bureau of Fisheries","active":true,"usgs":false}],"preferred":false,"id":651332,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70177107,"text":"70177107 - 2016 - Probing the volcanic-plutonic connection and the genesis of crystal-rich rhyolite in a deeply dissected supervolcano in the Nevada Great Basin: Source of the late Eocene Caetano Tuff","interactions":[],"lastModifiedDate":"2019-11-14T11:13:42","indexId":"70177107","displayToPublicDate":"2016-10-19T11:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Probing the volcanic-plutonic connection and the genesis of crystal-rich rhyolite in a deeply dissected supervolcano in the Nevada Great Basin: Source of the late Eocene Caetano Tuff","docAbstract":"Late Cenozoic faulting and large-magnitude extension in the Great Basin of the western USA has created locally deep windows into the upper crust, permitting direct study of volcanic and plutonic rocks within individual calderas. The Caetano caldera in north–central Nevada, formed during the mid-Tertiary ignimbrite flare-up, offers one of the best exposed and most complete records of caldera magmatism. Integrating whole-rock geochemistry, mineral chemistry, isotope geochemistry and geochronology with field studies and geologic mapping, we define the petrologic evolution of the magmatic system that sourced the >1100 km3Caetano Tuff. The intra-caldera Caetano Tuff is up to ∼5 km thick, composed of crystal-rich (30–45 vol. %), high-silica rhyolite, overlain by a smaller volume of comparably crystal-rich, low-silica rhyolite. It defies classification as either a monotonous intermediate or crystal-poor zoned rhyolite, as commonly ascribed to ignimbrite eruptions. Crystallization modeling based on the observed mineralogy and major and trace element geochemistry demonstrates that the compositional zonation can be explained by liquid–cumulate evolution in the Caetano Tuff magma chamber, with the more evolved lower Caetano Tuff consisting of extracted liquids that continued to crystallize and mix in the upper part of the chamber following segregation from a cumulate-rich, and more heterogeneous, source mush. The latter is represented in the caldera stratigraphy by the less evolved upper Caetano Tuff. Whole-rock major, trace and rare earth element geochemistry, modal mineralogy and mineral chemistry, O, Sr, Nd and Pb isotope geochemistry, sanidine Ar–Ar geochronology, and zircon U–Pb geochronology and trace element geochemistry provide robust evidence that the voluminous caldera intrusions (Carico Lake pluton and Redrock Canyon porphyry) are genetically equivalent to the least evolved Caetano Tuff and formed from magma that remained in the lower chamber after ignimbrite eruption and caldera collapse. Thus, the Caetano Tuff contradicts models for the mutually exclusive origins of voluminous volcanic and plutonic magmas in the upper crust. Crystal-scale O isotope data indicate that the Caetano Tuff is one of the most 18O-enriched rhyolites in the Great Basin (δ18Omagma = 10·2 ± 0·2‰), supporting anatexis of local metasedimentary basement crust. Metapelite xenoliths in the Carico Lake pluton and ubiquitous xenocrystic zircons in the Caetano Tuff provide constraints for the anatexis process; these data point to shallow (<15 km) dehydration melting of a protolith similar to the Proterozoic McCoy Creek Group siliciclastic sediments in eastern Nevada, projected beneath Caetano in fault-stacked shelf sediments that were thickened during Mesozoic crustal shortening. Mean zircon U–Pb ages for different stratigraphic levels of the intra-caldera Caetano Tuff are 34·2–34·5 Ma, 0·2–0·5 Myr older than the caldera sanidine 40Ar/39Ar age of 34·00 ± 0·03 Ma, documenting protracted duration of assembly and homogenization of isotopically diverse upper crustal melts, followed by crystallization and zonation to generate the Caetano Tuff magma chamber. Sanidine rims in the least evolved Caetano Tuff and in the Carico Lake pluton and Redrock Canyon porphyry have sharply zoned Ba domains that point to crystal growth during magmatic recharge events. The recharge magma is inferred to have been compositionally similar to the Caetano Tuff magma, with increased Ba resulting from remelting of Ba-rich sanidine cumulates. Mush reactivation to generate the Caetano Tuff eruption was sufficiently rapid to preserve compositional gradients in the intracaldera ignimbrite, calling into question models that predict homogeneity as a prerequisite for remobilizing crystal-rich ignimbrite magmas.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/petrology/egw051","usgsCitation":"Watts, K.E., John, D.A., Colgan, J.P., Henry, C., Bindeman, I.N., and Schmitt, A.K., 2016, Probing the volcanic-plutonic connection and the genesis of crystal-rich rhyolite in a deeply dissected supervolcano in the Nevada Great Basin: Source of the late Eocene Caetano Tuff: Journal of Petrology, v. 57, no. 8, p. 1599-1644, https://doi.org/10.1093/petrology/egw051.","productDescription":"46 p.","startPage":"1599","endPage":"1644","ipdsId":"IP-064750","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":470499,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/petrology/egw051","text":"Publisher Index Page"},{"id":329728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-07","publicationStatus":"PW","scienceBaseUri":"58088686e4b0f497e78e24b9","contributors":{"authors":[{"text":"Watts, Kathryn E. 0000-0002-6110-7499 kwatts@usgs.gov","orcid":"https://orcid.org/0000-0002-6110-7499","contributorId":5081,"corporation":false,"usgs":true,"family":"Watts","given":"Kathryn","email":"kwatts@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":651310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"John, David A. 0000-0001-7977-9106 djohn@usgs.gov","orcid":"https://orcid.org/0000-0001-7977-9106","contributorId":1748,"corporation":false,"usgs":true,"family":"John","given":"David","email":"djohn@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":651311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colgan, Joseph P. 0000-0001-6671-1436 jcolgan@usgs.gov","orcid":"https://orcid.org/0000-0001-6671-1436","contributorId":1649,"corporation":false,"usgs":true,"family":"Colgan","given":"Joseph","email":"jcolgan@usgs.gov","middleInitial":"P.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":651312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henry, Christopher D.","contributorId":175501,"corporation":false,"usgs":false,"family":"Henry","given":"Christopher D.","affiliations":[{"id":6689,"text":"Nevada Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":651314,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bindeman, Ilya N.","contributorId":175500,"corporation":false,"usgs":false,"family":"Bindeman","given":"Ilya","email":"","middleInitial":"N.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":651313,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schmitt, Axel K.","contributorId":127614,"corporation":false,"usgs":false,"family":"Schmitt","given":"Axel","email":"","middleInitial":"K.","affiliations":[{"id":7081,"text":"University of California - Los Angeles","active":true,"usgs":false}],"preferred":false,"id":651315,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176894,"text":"sir20165105 - 2016 - Flood-inundation maps for the Peckman River in the Townships of Verona, Cedar Grove, and Little Falls, and the Borough of Woodland Park, New Jersey, 2014","interactions":[],"lastModifiedDate":"2017-07-17T13:36:38","indexId":"sir20165105","displayToPublicDate":"2016-10-19T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5105","title":"Flood-inundation maps for the Peckman River in the Townships of Verona, Cedar Grove, and Little Falls, and the Borough of Woodland Park, New Jersey, 2014","docAbstract":"Digital flood-inundation maps for an approximate 7.5-mile reach of the Peckman River in New Jersey, which extends from Verona Lake Dam in the Township of Verona downstream through the Township of Cedar Grove and the Township of Little Falls to the confluence with the Passaic River in the Borough of Woodland Park, were created by the U.S. Geological Survey (USGS) in cooperation with the New Jersey Department of Environmental Protection. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/ depict estimates of the probable areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Peckman River at Ozone Avenue at Verona, New Jersey (station number 01389534). Near-real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/.
Flood profiles were simulated for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated using the most current stage-discharge relations at USGS streamgages on the Peckman River at Ozone Avenue at Verona, New Jersey (station number 01389534) and the Peckman River at Little Falls, New Jersey (station number 01389550). The hydraulic model was then used to compute eight water-surface profiles for flood stages at 0.5-foot (ft) intervals ranging from 3.0 ft or near bankfull to 6.5 ft, which is approximately the highest recorded water level during the period of record (1979–2014) at USGS streamgage 01389534, Peckman River at Ozone Avenue at Verona, New Jersey. The simulated water-surface profiles were then combined with a geographic information system digital elevation model derived from light detection and ranging (lidar) data to delineate the area flooded at each water level.
The availability of these maps along with Internet information regarding current stage from the USGS streamgage provides emergency management personnel and residents with information, such as estimates of inundation extents, based on water stage, that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165105","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Niemoczynski, M.J., and Watson, K.M., 2016, Flood-inundation maps for the Peckman River in the Townships of Verona, Cedar Grove, and Little Falls, and the Borough of Woodland Park, New Jersey, 2014: U.S. Geological Survey Scientific Investigations Report 2016-5105, 13 p. https://dx.doi.org/10.3133/sir20165105","productDescription":"vii, 13 p.","onlineOnly":"Y","ipdsId":"IP-053115","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":329482,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5105/sir20165105.pdf","text":"Report","size":"7.66 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5105"},{"id":329481,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5105/coverthb.jpg"},{"id":343948,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7C53J0H","text":"USGS data release","description":"USGS data release","linkHelpText":"Flood-inundation Mapping Data for the Peckman River in the Townships of Verona, Cedar Grove, and Little Falls, and the Borough of Woodland Park, New Jersey, 2014"}],"country":"United States","state":"New Jersey","city":" Cedar Grove, Little Falls, Verona, Woodland Park","otherGeospatial":"Peckman River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.4,\n 41\n ],\n [\n -74.4,\n 40.8\n ],\n [\n -74.1,\n 40.8\n ],\n [\n -74.1,\n 41\n ],\n [\n -74.4,\n 41\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville NJ, 08648
http://nj.usgs.gov/
The reintroduction of anadromous salmonids in reservoirs is being proposed with increasing frequency, requiring baseline studies to evaluate feasibility and estimate the capacity of reservoir food webs to support reintroduced populations. Using three reservoirs on the north fork Lewis River as a case study, we demonstrate a method to determine juvenile salmonid smolt rearing capacities for lakes and reservoirs. To determine if the Lewis River reservoirs can support reintroduced populations of juvenile stream-type Chinook Salmon Oncorhynchus tshawytscha, we evaluated the monthly production of daphniaDaphnia spp. (the primary zooplankton consumed by resident salmonids in the system) and used bioenergetics to model the consumption demand of resident fishes in each reservoir. To estimate the surplus of Daphnia prey available for reintroduced salmonids, we assumed a maximum sustainable exploitation rate and accounted for the consumption demand of resident fishes. The number of smolts that could have been supported was estimated by dividing any surplus Daphnia production by the simulated consumption demand of an individual Chinook Salmon fry rearing in the reservoir to successful smolt size. In all three reservoirs, densities of Daphnia were highest in the epilimnion, but warm epilimnetic temperatures and the vertical distribution of planktivores suggested that access to abundant epilimnetic prey was limited. By comparing accessible prey supply and demand on a monthly basis, we were able to identify potential prey supply bottlenecks that could limit smolt production and growth. These results demonstrate that a bioenergetics approach can be a valuable method of examining constraints on lake and reservoir rearing capacity, such as thermal structure and temporal food supply. This method enables numerical estimation of rearing capacity, which is a useful metric for managers evaluating the feasibility of reintroducing Pacific salmon Oncorhynchus spp. in lentic systems.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2016.1219678","usgsCitation":"Sorel, M.H., Hansen, A., Connelly, K.A., and Beauchamp, D.A., 2016, Trophic feasibility of reintroducing anadromous salmonids in three reservoirs on the north fork Lewis River, Washington: Prey supply and consumption demand of resident fishes: Transactions of the American Fisheries Society, v. 145, no. 6, p. 1331-1347, https://doi.org/10.1080/00028487.2016.1219678.","productDescription":"17 p.","startPage":"1331","endPage":"1347","ipdsId":"IP-070088","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470501,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Trophic_Feasibility_of_Reintroducing_Anadromous_Salmonids_in_Three_Reservoirs_on_the_North_Fork_Lewis_River_Washington_Prey_Supply_and_Consumption_Demand_of_Resident_Fishes/4007424","text":"External Repository"},{"id":329735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Lewis River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.57377624511719,\n 45.94255573048781\n ],\n [\n -122.57377624511719,\n 46.08228057808761\n ],\n [\n -122.00454711914061,\n 46.08228057808761\n ],\n [\n -122.00454711914061,\n 45.94255573048781\n ],\n [\n -122.57377624511719,\n 45.94255573048781\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"145","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-11","publicationStatus":"PW","scienceBaseUri":"58088687e4b0f497e78e24c3","contributors":{"authors":[{"text":"Sorel, Mark H.","contributorId":171739,"corporation":false,"usgs":false,"family":"Sorel","given":"Mark","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":651341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Adam G.","contributorId":103947,"corporation":false,"usgs":true,"family":"Hansen","given":"Adam G.","affiliations":[],"preferred":false,"id":651342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connelly, Kristin A.","contributorId":174523,"corporation":false,"usgs":false,"family":"Connelly","given":"Kristin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":651343,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beauchamp, David A. 0000-0002-3592-8381 fadave@usgs.gov","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":4205,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","email":"fadave@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":651191,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}