Diatom data have been collected in large-scale biological assessments in the United States, such as the U.S. Environmental Protection Agency’s National Rivers and Streams Assessment (NRSA). However, the effectiveness of diatoms as indicators may suffer if inconsistent taxon identifications across different analysts obscure the relationships between assemblage composition and environmental variables. To reduce these inconsistencies, we harmonized the 2008–2009 NRSA data from nine analysts by updating names to current synonyms and by statistically identifying taxa with high analyst signal (taxa with more variation in relative abundance explained by the analyst factor, relative to environmental variables). We then screened a subset of samples with QA/QC data and combined taxa with mismatching identifications by the primary and secondary analysts. When these combined “slash groups” did not reduce analyst signal, we elevated taxa to the genus level or omitted taxa in difficult species complexes. We examined the variation explained by analyst in the original and revised datasets. Further, we examined how revising the datasets to reduce analyst signal can reduce inconsistency, thereby uncovering the variation in assemblage composition explained by total phosphorus (TP), an environmental variable of high priority for water managers. To produce a revised dataset with the greatest taxonomic consistency, we ultimately made 124 slash groups, omitted 7 taxa in the small naviculoid (e.g., Sellaphora atomoides) species complex, and elevated Nitzschia, Diploneis, and Tryblionella taxa to the genus level. Relative to the original dataset, the revised dataset had more overlap among samples grouped by analyst in ordination space, less variation explained by the analyst factor, and more than double the variation in assemblage composition explained by TP. Elevating all taxa to the genus level did not eliminate analyst signal completely, and analyst remained the most important predictor for the genera Sellaphora, Mayamaea, and Psammodictyon, indicating that these taxa present the greatest obstacle to consistent identification in this dataset. Although our process did not completely remove analyst signal, this work provides a method to minimize analyst signal and improve detection of diatom association with TP in large datasets involving multiple analysts. Examination of variation in assemblage data explained by analyst and taxonomic harmonization may be necessary steps for improving data quality and the utility of diatoms as indicators of environmental variables.
Timing of activity, especially for juvenile anadromous fishes undertaking long migrations can be critical for survival. River-resident larval sea lamprey metamorphose into juveniles and migrate from their larval stream habitats in fall through spring, but diel timing of this migratory behavior is not well understood. Diel activity was determined for newly metamorphosed sea lamprey using day/night net sampling and passive integrated transponder (PIT) telemetry in two natural streams and PIT telemetry in an artificial stream. Downstream migration was primarily nocturnal in all studies. All but one of 372 sea lamprey were captured during night sampling in the day/night net collections and all detections (N = 56) for the in-stream PIT telemetry occurred within a few hours after sunset. Most (81% of 48) tagged lamprey moved downstream during the first night following release and moved at speeds consistent with observed water velocities. During long-term observation of behavior in the artificial stream most sea lamprey movement occurred during the night with limited occurrence of movement during daylight hours. Understanding seasonal and diel timing of downstream migration behavior may allow more effective management of sea lamprey for both conservation and control.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0211687","usgsCitation":"Miehls, S.M., Holbrook, C., and Marsden, J.E., 2019, Diel activity of newly metamorphosed juvenile sea lamprey (Petromyzon marinus): PLoS ONE, v. 14, no. 2, p. 1-17, https://doi.org/10.1371/journal.pone.0211687.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-094754","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":467875,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0211687","text":"Publisher Index Page"},{"id":361481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"2","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Miehls, Scott M. 0000-0002-5546-1854 smiehls@usgs.gov","orcid":"https://orcid.org/0000-0002-5546-1854","contributorId":5007,"corporation":false,"usgs":true,"family":"Miehls","given":"Scott","email":"smiehls@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":757887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":757888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marsden, J. Ellen","contributorId":213516,"corporation":false,"usgs":false,"family":"Marsden","given":"J.","email":"","middleInitial":"Ellen","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":757889,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202224,"text":"70202224 - 2019 - Life history of the endemic saddleback crayfish, Faxonius medius (Faxon, 1884), (Decapoda: Cambaridae) in Missouri, USA","interactions":[],"lastModifiedDate":"2019-04-17T07:51:02","indexId":"70202224","displayToPublicDate":"2019-02-22T16:00:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5290,"text":"Freshwater Crayfish","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Life history of the endemic saddleback crayfish, Faxonius medius (Faxon, 1884), (Decapoda: Cambaridae) in Missouri, USA","title":"Life history of the endemic saddleback crayfish, Faxonius medius (Faxon, 1884), (Decapoda: Cambaridae) in Missouri, USA","docAbstract":"The saddleback crayfish, Faxonius medius (Faxon, 1884), is endemic to a single drainage in eastern Missouri, USA, that is affected by heavy metals mining, and adjacent to a rapidly-expanding urban area. We studied populations of F. medius in two small streams for 18 months to describe the annual reproductive cycle and gather information about fecundity, sex ratio, size at maturity, and size-class structure. We also obtained information about the species’ density at supplemental sites. The species, though rare in a geographic context, is locally abundant; we captured a monthly average of more than 75 F. medius from each of the two study populations. Densities of F. medius were high relative to several sympatric species of Faxonius Cope, 1872 and Cambarus Erichson, 1846. The species exhibited traits of an r-strategist life history; it was relatively short-lived and early to maturity. Its fecundity and egg size were comparable to Ozark congeners. Breeding season occurred in autumn, perhaps extending into early winter. Egg brooding occurred primarily in April. Young of year first appeared in samples in June. We estimated that these populations contained 2 to 3 size-classes, and most individuals became sexually mature in their first year of life. Life history information presented herein will be important for future conservation efforts.","language":"English","publisher":"International association of Astacology","doi":"10.5869/fc.2019.v24-1.1","usgsCitation":"DiStefano, R., Westhoff, J., Rice, C., and Rosenberger, A.E., 2019, Life history of the endemic saddleback crayfish, Faxonius medius (Faxon, 1884), (Decapoda: Cambaridae) in Missouri, USA: Freshwater Crayfish, v. 24, no. 1, p. 1-13, https://doi.org/10.5869/fc.2019.v24-1.1.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-097665","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":362966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Illinois","active":true,"usgs":false}],"preferred":false,"id":757323,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757320,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201151,"text":"sir20185163 - 2019 - Upgrades to a Fortran program for estimating stream transit losses of reusable water, El Paso and Pueblo Counties, Colorado","interactions":[],"lastModifiedDate":"2019-02-26T09:23:15","indexId":"sir20185163","displayToPublicDate":"2019-02-22T14:30:00","publicationYear":"2019","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":"2018-5163","displayTitle":"Upgrades to a Fortran Program for Estimating Stream Transit Losses of Reusable Water, El Paso and Pueblo Counties, Colorado","title":"Upgrades to a Fortran program for estimating stream transit losses of reusable water, El Paso and Pueblo Counties, Colorado","docAbstract":"In 2016, the U.S. Geological Survey, in cooperation with Pikes Peak Regional Water Authority and the Colorado Water Conservation Board, began a study to modernize a Fortran transit-loss accounting program developed by the U.S. Geological Survey to estimate net reusable flows in Fountain and Monument Creeks in El Paso and Pueblo Counties, Colorado. More than 6,000 lines of this FORTRAN77 transit-loss accounting program were revised to comply with the newer Fortran 2003 standard. The upgrade to the newer standard involved making changes in formatting and syntax on each line and, when available, adding new programming constructs that comply with the new standard. These upgrades produced a more readable Fortran program that includes safeguards to prevent accidental mistyping of variables and unintentional changes in named constants during program execution. Program revisions also introduced dynamic array allocation, whole array processing, and handling of input errors to the upgraded transit-loss accounting program.
During the upgrade from FORTRAN77 to the Fortran 2003 standard, revisions were made incrementally to the original transit-loss Fortran program. Because FORTRAN77 is a subset of Fortran 2003, the legacy FORTRAN77 statements and the upgraded Fortran 2003 statements can be compiled within the same program, permitting program revisions to be gradually phased in on a line-by-line basis. This incremental approach helped mitigate risks of introducing logic errors into the Fortran program that could produce incorrect transit-loss estimates.
Verification of the upgraded transit-loss accounting program focused on reproducing archived reusable return flows (RRF) for historical daily runs from January 5, 2015, to October 31, 2018. Because interim files storing daily streambank losses were not historically archived, no record of antecedent streambank storage losses to hydraulically connected alluvial deposits were available to provide initial conditions for each daily run. To overcome the problem of missing historical bank storage and recovery files that contain important information relating to antecedent streambank storage conditions, a 104-day “spin-up” period was required before RRFs calculated by the upgraded program and the original program matched. Estimated daily reusable return flows from archived output generated by the original program and output generated by the upgraded program were compared after this initial “spin-up” period. Daily reusable return flow estimates at delivery nodes and at the bottoms of subreaches from the upgraded Fortran program matched those output by the original program to within 0.01 and 0.0001 cubic feet per second, respectively.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185163","collaboration":"Prepared in cooperation with the Pikes Peak Regional Water Authority and the Colorado Water Conservation Board","usgsCitation":"Colarullo, S.J., and Miller, L.D., 2019, Upgrades to a Fortran program for estimating stream transit losses of reusable water, El Paso and Pueblo Counties, Colorado: U.S. Geological Survey Scientific Investigations Report 2018–5163, 21 p., https://doi.org/10.3133/sir20185163.","productDescription":"Report: vi, 21 p.; 1 Sheet (14 x 26 inches)","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-101530","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":361220,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5163/sir20185163.pdf","text":"Report","size":"3.95 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5163"},{"id":361462,"rank":4,"type":{"id":22,"text":"Related Work"},"url":" https://code.usgs.gov/water/Transit-Loss","text":"Water- Transit Loss","linkHelpText":"- FORTRAN 77 transit-loss accounting program"},{"id":361221,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2018/5163/sir20185163_plate01.pdf","size":"316 KB"},{"id":361219,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5163/coverthb.jpg"}],"country":"United States","state":"Colorado","city":"El Paso, Pueblo","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.26687622070312,\n 38.151837403006766\n ],\n [\n -104.3536376953125,\n 38.151837403006766\n ],\n [\n -104.3536376953125,\n 39.102357437817595\n ],\n [\n -105.26687622070312,\n 39.102357437817595\n ],\n [\n -105.26687622070312,\n 38.151837403006766\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Denver Federal Center, MS-415
Lakewood, CO 80225
A 2.5-year data collection program was undertaken by the U.S. Geological Survey, in cooperation with the Pennsylvania Department of Environmental Protection (PADEP), to quantify and estimate base flow in small watersheds in western Pennsylvania where only periodic streamflow measurements had been obtained. Twelve streamgages with watershed areas of less than 10 square miles were established in western Pennsylvania for this study, with most established within Greene and Washington Counties (an area where a type of underground coal mining known as longwall mining occurs). Data from five previously established streamgages with watershed areas ranging from 48.9 to 281 square miles were also used in the analyses for this study. The index-gage method was used to relate streamflow at one streamgage referred to as the “index streamgage” to streamflow at another site of interest (usually an ungaged site, but for this study another streamgage) using a regression technique.
Streamflow regressions were developed for all newly established streamgages by using the Maintenance of Variance Extension, Type 1 (MOVE.1) method. Not all streamflow data from the newly established streamgages were used for MOVE.1 regression development; only data that have little to no influence from runoff were considered. Runoff-influenced streamflow for this study was defined as streamflow on a day that precipitation occurs plus streamflow on the following 2 days. One streamflow value per day selected from a specified schedule that captures numerous non-runoff periods was used to develop a MOVE.1 regression.
Prediction limits were calculated from the regression to provide the upper and lower bounds for the regression-produced streamflow estimates. Using these data, base flow at a site can be estimated with the index-gage method. The log10-tranformed prediction interval width and other regression diagnostics were used as indicators of regression quality when comparing streamgage relations to determine the best index streamgage among the streamgages established for this study. It was determined that index streamgages within about 10 miles of the site of interest provided the best estimated base flow and could, in the future, be used by mine operators and the PADEP to quantify base flow and to evaluate the effects of mining on streamflow.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185150","collaboration":"Prepared in cooperation with the Pennsylvania Department of Environmental Protection","usgsCitation":"Hittle, E., and Risser, D.W., 2019, Estimation of base flow on ungaged, periodically measured streams in small watersheds in western Pennsylvania: U.S. Geological Survey Scientific Investigations Report 2018–5150, 42 p., https://doi.org/10.3133/sir20185150.","productDescription":"Report: ix, 42 p.; Data release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-093027","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":361469,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7F18XX9","text":"USGS data release","description":"USGS data release","linkHelpText":"Index-gage Data and Regressions in Support of Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania"},{"id":361422,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5150/coverthb.jpg"},{"id":361423,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5150/sir20185150.pdf","text":"Report","size":"25.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5150"}],"country":"United States","state":"Pennsylvania","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.52429199218749,\n 39.72831341029745\n ],\n [\n -79,\n 39.72831341029745\n ],\n [\n -79,\n 42\n ],\n [\n -80.52429199218749,\n 42\n ],\n [\n -80.52429199218749,\n 39.72831341029745\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Pennsylvania Water Science Center
U.S. Geological Survey
215 Limekiln Road
New Cumberland, PA 17070
The benefits nature provides to people, called ecosystem services, are increasingly recognized and accounted for in assessments of infrastructure development, agricultural management, conservation prioritization, and sustainable sourcing. These assessments are often limited by data, however, a gap with tremendous potential to be filled through Earth observations (EO), which produce a variety of data across spatial and temporal extents and resolutions. Despite widespread recognition of this potential, in practice few ecosystem service studies use EO. Here, we identify challenges and opportunities to using EO in ecosystem service modeling and assessment. Some challenges are technical, related to data awareness, processing, and access. These challenges require systematic investment in model platforms and data management. Other challenges are more conceptual but still systemic; they are byproducts of the structure of existing ecosystem service models and addressing them requires scientific investment in solutions and tools applicable to a wide range of models and approaches. We also highlight new ways in which EO can be leveraged for ecosystem service assessments, identifying promising new areas of research. More widespread use of EO for ecosystem service assessment will only be achieved if all of these types of challenges are addressed. This will require non-traditional funding and partnering opportunities from private and public agencies to promote data exploration, sharing, and archiving. Investing in this integration will be reflected in better and more accurate ecosystem service assessments worldwide.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.02.150","usgsCitation":"Ramirez-Reyes, C., Brauman, K.A., Chaplin-Kramer, R., Galford, G.L., Adamo, S.B., Anderson, C.B., Anderson, C., Allington, G.R., Bagstad, K.J., Coe, M.T., Cord, A.F., Dee, L.E., Gould, R.K., Jain, M., Kowal, V.A., Muller-Karger, F.E., Norriss, J., Potapov, P.V., Qui, J., Rieb, J.T., Robinson, B.E., Samberg, L.H., Singh, N., Szeto, S.H., Voigt, B., Watson, K., and Wright, T.M., 2019, Reimagining the potential of Earth observations for ecosystem service assessments: Science of the Total Environment, v. 665, p. 1053-1063, https://doi.org/10.1016/j.scitotenv.2019.02.150.","productDescription":"11 p.","startPage":"1053","endPage":"1063","ipdsId":"IP-103295","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":467876,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.02.150","text":"Publisher Index Page"},{"id":361470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"665","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ramirez-Reyes, Carlos 0000-0002-7407-071X","orcid":"https://orcid.org/0000-0002-7407-071X","contributorId":213446,"corporation":false,"usgs":false,"family":"Ramirez-Reyes","given":"Carlos","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":757742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brauman, Kate A.","contributorId":190423,"corporation":false,"usgs":false,"family":"Brauman","given":"Kate","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":757743,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chaplin-Kramer, Rebecca 0000-0002-1539-5231","orcid":"https://orcid.org/0000-0002-1539-5231","contributorId":213447,"corporation":false,"usgs":false,"family":"Chaplin-Kramer","given":"Rebecca","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":757744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Galford, Gillian L. 0000-0003-2192-7385","orcid":"https://orcid.org/0000-0003-2192-7385","contributorId":213448,"corporation":false,"usgs":false,"family":"Galford","given":"Gillian","email":"","middleInitial":"L.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":757745,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adamo, Susana B. 0000-0002-9168-7172","orcid":"https://orcid.org/0000-0002-9168-7172","contributorId":213449,"corporation":false,"usgs":false,"family":"Adamo","given":"Susana","email":"","middleInitial":"B.","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":757746,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Christopher B. 0000-0001-7392-4368","orcid":"https://orcid.org/0000-0001-7392-4368","contributorId":213450,"corporation":false,"usgs":false,"family":"Anderson","given":"Christopher","email":"","middleInitial":"B.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":757747,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Anderson, Clarissa 0000-0001-5970-0253","orcid":"https://orcid.org/0000-0001-5970-0253","contributorId":213451,"corporation":false,"usgs":false,"family":"Anderson","given":"Clarissa","email":"","affiliations":[{"id":34004,"text":"Scripps Institute of Oceanography","active":true,"usgs":false}],"preferred":false,"id":757748,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Allington, Ginger R. 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Maxwell","contributorId":213467,"corporation":false,"usgs":false,"family":"Wright","given":"T.","email":"","middleInitial":"Maxwell","affiliations":[{"id":16938,"text":"Conservation International","active":true,"usgs":false}],"preferred":false,"id":757767,"contributorType":{"id":1,"text":"Authors"},"rank":27}]}} ,{"id":70205845,"text":"70205845 - 2019 - Factors affecting species richness and distribution spatially and temporally within a protected area using multi-season occupancy models","interactions":[],"lastModifiedDate":"2019-10-08T13:12:54","indexId":"70205845","displayToPublicDate":"2019-02-22T13:10:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Factors affecting species richness and distribution spatially and temporally within a protected area using multi-season occupancy models","docAbstract":"Exploring trends in species richness and the distribution of individual species over time as well as the factors affecting these trends informs conservation priorities in protecting species and ecosystems as a whole. We used data from 41 park-wide line transect surveys in 2009 and 2014 and multi-season occupancy models with multi-species data to explore trends in species richness and distribution of individual species and factors affecting these trends in Nyungwe National Park (NNP), Rwanda. Mammalian species richness and the distributional range of 5 of the 7 species increased between 2009 and 2014 in NNP. The probability of colonization of a species into a new area in 2014, where it was not present in 2009, was highest in sites with a lower probability of poaching activity, close to tourist trails, and at lower elevations. The probability of colonization with no poaching activity was about 50% but dropped to about 10% with a 100% chance of poaching activity. Duiker species had the largest increase in distribution during the study, while there was a decrease in the distribution of the eastern chimpanzee and blue monkey. Our results suggest that increased patrols should be implemented in areas of the park with low species richness and areas with a low probability of occurrence for species of conservation concern to combat poaching activity and thus increase the probability of a species moving into a new area. Our use of a single multi-season model for multiple species explicitly accounts for imperfect detection and species-specific identities, while allowing for inferences to be made about rarely detected species by sharing covariates with common species. These results can be used to improve conservation planning in NNP for species management and ranger patrol protocols and our modelling framework is broadly applicable to any protected area with presence/absence species field data.","language":"English","publisher":"Wiley","doi":"10.1111/acv.12491","usgsCitation":"Moore, J.F., Hines, J.E., and Masozera, M.K., 2019, Factors affecting species richness and distribution spatially and temporally within a protected area using multi-season occupancy models: Animal Conservation, v. 22, no. 5, p. 503-514, https://doi.org/10.1111/acv.12491.","productDescription":"12 p.","startPage":"503","endPage":"514","ipdsId":"IP-098950","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":368106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Rwanda","otherGeospatial":"Nyungwe Forest National Park","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[30.4191,-1.13466],[30.81613,-1.69891],[30.75831,-2.28725],[30.4697,-2.41386],[29.93836,-2.34849],[29.63218,-2.91786],[29.02493,-2.83926],[29.11748,-2.29221],[29.25483,-2.21511],[29.29189,-1.62006],[29.57947,-1.34131],[29.82152,-1.44332],[30.4191,-1.13466]]]},\"properties\":{\"name\":\"Rwanda\"}}]}","volume":"22","issue":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Jennifer F.","contributorId":189122,"corporation":false,"usgs":false,"family":"Moore","given":"Jennifer","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":772590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":772589,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masozera, Michel K.","contributorId":201300,"corporation":false,"usgs":false,"family":"Masozera","given":"Michel","email":"","middleInitial":"K.","affiliations":[{"id":35968,"text":"Wildlife Conservation Society, Rwanda Program","active":true,"usgs":false}],"preferred":false,"id":772591,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202321,"text":"70202321 - 2019 - Associations between environmental pollutants and larval amphibians in wetlands contaminated by energy-related brines are potentially mediated by feeding traits","interactions":[],"lastModifiedDate":"2019-02-22T12:57:59","indexId":"70202321","displayToPublicDate":"2019-02-22T12:57:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Associations between environmental pollutants and larval amphibians in wetlands contaminated by energy-related brines are potentially mediated by feeding traits","docAbstract":"Energy production in the Williston Basin, located in the Prairie Pothole Region of central North America, has increased rapidly over the last several decades. Advances in recycling and disposal practices of saline wastewaters (brines) co-produced during energy production have reduced ecological risks, but spills still occur often and legacy practices of releasing brines into the environment caused persistent salinization in many areas. Aside from sodium and chloride, these brines contain elevated concentrations of metals and metalloids (lead, selenium, strontium, antimony and vanadium), ammonium, volatile organic compounds, hydrocarbons, and radionuclides. Amphibians are especially sensitive to chloride and some metals, increasing potential effects in wetlands contaminated by brines. We collected bed sediment and larval amphibians (Ambystoma mavortium, Lithobates pipiens and Pseudacris maculata) from wetlands in Montana and North Dakota representing a range of brine contamination history and severity to determine if contamination was associated with metal concentrations in sediments and if metal accumulation in tissues varied by species. In wetland sediments, brine contamination was positively associated with the concentrations of sodium and strontium, both known to occur in oil and gas wastewater, but negatively correlated with mercury. In amphibian tissues, selenium and vanadium were associated with brine contamination. Metal tissue concentrations were higher in tadpoles that graze compared to predatory salamanders; this suggests frequent contact with the sediments could lead to greater ingestion of metal-laden materials. Although many of these metals may not be directly linked with energy development, the potential additive or synergistic effects of exposure along with elevated chloride from brines could have important consequences for aquatic organisms. To effectively manage amphibian populations in wetlands contaminated by saline wastewaters we need a better understanding of how life history traits, species-specific susceptibilities and the physical-chemical properties of metals co-occurring in wetland sediments interact with other stressors like chloride and wetland drying.
","language":"English","publisher":"Environmental Pollution","doi":"10.1016/j.envpol.2019.02.033","usgsCitation":"Smalling, K.L., Anderson, C.W., Honeycutt, R.K., Cozzarelli, I.M., Preston, T.M., and Hossack, B.R., 2019, Associations between environmental pollutants and larval amphibians in wetlands contaminated by energy-related brines are potentially mediated by feeding traits: Environmental Pollution, v. 248, p. 260-268, https://doi.org/10.1016/j.envpol.2019.02.033.","productDescription":"9 p.","startPage":"260","endPage":"268","ipdsId":"IP-099068","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":467877,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2019.02.033","text":"Publisher Index Page"},{"id":361466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Williston Basin","volume":"248","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smalling, Kelly L. 0000-0002-1214-4920 ksmall@usgs.gov","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":190789,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","email":"ksmall@usgs.gov","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Chauncey W. 0000-0002-1016-3781 chauncey@usgs.gov","orcid":"https://orcid.org/0000-0002-1016-3781","contributorId":140160,"corporation":false,"usgs":true,"family":"Anderson","given":"Chauncey","email":"chauncey@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Honeycutt, R. Ken 0000-0002-7157-7195 rhoneycutt@usgs.gov","orcid":"https://orcid.org/0000-0002-7157-7195","contributorId":156282,"corporation":false,"usgs":true,"family":"Honeycutt","given":"R.","email":"rhoneycutt@usgs.gov","middleInitial":"Ken","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":757828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":757829,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Preston, Todd M. 0000-0002-8812-9233 tmpreston@usgs.gov","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":1664,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"tmpreston@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":757830,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":757831,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202326,"text":"70202326 - 2019 - Assessing vulnerability and threat from housing development to Conservation Opportunity Areas in State Wildlife Action Plans across the United States","interactions":[],"lastModifiedDate":"2019-02-22T12:52:37","indexId":"70202326","displayToPublicDate":"2019-02-22T12:52:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"Assessing vulnerability and threat from housing development to Conservation Opportunity Areas in State Wildlife Action Plans across the United States","docAbstract":"Targeting conservation actions efficiently requires information on vulnerability of and threats to conservation targets, but such information is rarely included in conservation plans. In the U.S., recently updated State Wildlife Action Plans identify Conservation Opportunity Areas (COAs) selected by each state as priority areas for future action to conserve wildlife and habitats. The question is how threatened these COAs are by habitat loss and degradation, major threats to wildlife in the U.S. that are often caused by housing development. We compiled spatial data on COAs across the conterminous U.S. We estimated COA vulnerability using current land protection status and COA threat using projected housing growth derived from U.S. census data. COAs comprise 1–46% of each region. Across regions, 28–82% of the area within COAs is vulnerable to future housing development, and 5–55% and 7–23% of that vulnerable COA area is threatened by projected dense housing and rapid housing growth, respectively. COA vulnerability is greatest in the East. Threat from dense housing and rapid housing growth is highest in the Northeast and Pacific Southwest, respectively. Results highlight that many areas identified as important for reducing wildlife listings under the U.S. Endangered Species Act may need further protection to fulfill their conservation goals because they are both vulnerable to and threatened by future housing development. Our analyses can help practitioners target local government outreach, land protection efforts, and landscape-scale mitigation programs to decrease future COA loss from housing development, and could be expanded to address additional COA threats (e.g., wildfire, invasive species).
","language":"English","publisher":"Elsevier","doi":"10.1016/j.landurbplan.2018.10.025","usgsCitation":"Carter, S.K., Maxted, S.S., Bergeson, T.L., Helmers, D.P., Scott, L., and Radeloff, V.C., 2019, Assessing vulnerability and threat from housing development to Conservation Opportunity Areas in State Wildlife Action Plans across the United States: Landscape and Urban Planning, v. 185, p. 237-245, https://doi.org/10.1016/j.landurbplan.2018.10.025.","productDescription":"9 p.","startPage":"237","endPage":"245","ipdsId":"IP-088249","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467878,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.landurbplan.2018.10.025","text":"Publisher Index Page"},{"id":361465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"185","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":757838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maxted, Shelley S.","contributorId":213499,"corporation":false,"usgs":false,"family":"Maxted","given":"Shelley","email":"","middleInitial":"S.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":757839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bergeson, Tara L. E.","contributorId":213500,"corporation":false,"usgs":false,"family":"Bergeson","given":"Tara","email":"","middleInitial":"L. E.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":757840,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Helmers, David P.","contributorId":213501,"corporation":false,"usgs":false,"family":"Helmers","given":"David","email":"","middleInitial":"P.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":757841,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scott, Lori","contributorId":213502,"corporation":false,"usgs":false,"family":"Scott","given":"Lori","email":"","affiliations":[{"id":17658,"text":"NatureServe","active":true,"usgs":false}],"preferred":false,"id":757842,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Radeloff, Volker C.","contributorId":149494,"corporation":false,"usgs":false,"family":"Radeloff","given":"Volker","email":"","middleInitial":"C.","affiliations":[{"id":13679,"text":"SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":757843,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202331,"text":"70202331 - 2019 - Kinetics of elemental sulfur reduction by petroleum hydrocarbons and the implications for hydrocarbon thermal chemical alteration","interactions":[],"lastModifiedDate":"2019-03-15T12:32:14","indexId":"70202331","displayToPublicDate":"2019-02-22T12:40:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Kinetics of elemental sulfur reduction by petroleum hydrocarbons and the implications for hydrocarbon thermal chemical alteration","docAbstract":"Although sulfur-containing compounds are known to play a significant role in the diagenic and catagenic processes that generate oil and gas, relatively little is known about the kinetics of reactions between elemental S and petroleum hydrocarbons. To investigate this subject, a series of closed-system pyrolysis experiments using paraffin, a low-sulfur oil, and a high-sulfur oil with and without elemental S were conducted, and first-order chemical kinetics were fit to the experimental results. The average value for the activation energy required to reduce elemental S to H2S and to thermochemically alter higher molecular weight hydrocarbons to methane was calculated to be 193 kJ mol-1 (46 kcal mol-1). The results of this study demonstrate that under typical geologic conditions the rate of reduction of elemental S to H2S by petroleum hydrocarbons is quite rapid. The maximum time for substantial amounts of elemental S to persist in contact with petroleum hydrocarbons is estimated to be no more than a few million years in cool reservoirs (e.g., <80 °C), and in hotter reservoirs (e.g., >120 °C) the half-life of elemental S may be as short as hundreds of years. Additionally, the presence of elemental S substantially lowers the onset temperature of hydrocarbon thermal chemical alteration (TCA). The activation energy for TCA of a low-sulfur oil to generate methane is estimated to be lowered by 92 kJ mol-1 (22 kcal mol-1) due to the presence of elemental sulfur. Consequently, the presence of elemental S in petroleum reservoirs is expected to lower the thermal stability of oil and decrease the maximum depth at which oil occurs within a basin (thermal deadline). The observed acceleration of hydrocarbon TCA is possibly due to organic sulfur compounds (e.g., thiols and sulfides) that form through the reaction of H2S or polysulfides with hydrocarbons and subsequently thermally degrade leading to the formation of sulfur radicals that in turn enhance TCA reactions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2019.02.023","usgsCitation":"Ellis, G.S., Zhang, T., Kralert, P.G., and Tang, Y., 2019, Kinetics of elemental sulfur reduction by petroleum hydrocarbons and the implications for hydrocarbon thermal chemical alteration: Geochimica et Cosmochimica Acta, v. 251, p. 192-216, https://doi.org/10.1016/j.gca.2019.02.023.","productDescription":"25 p.","startPage":"192","endPage":"216","ipdsId":"IP-099558","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":361463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"251","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":757866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Tongwei","contributorId":145909,"corporation":false,"usgs":false,"family":"Zhang","given":"Tongwei","email":"","affiliations":[{"id":16288,"text":"Bureau of Economic Geology, University of Texas, Austin, Texas, USA","active":true,"usgs":false}],"preferred":false,"id":757867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kralert, Paul G.","contributorId":213509,"corporation":false,"usgs":false,"family":"Kralert","given":"Paul","email":"","middleInitial":"G.","affiliations":[{"id":38767,"text":"Royal Dutch Shell, Rijswijk, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":757868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tang, Yongchun","contributorId":213510,"corporation":false,"usgs":false,"family":"Tang","given":"Yongchun","email":"","affiliations":[{"id":38768,"text":"PEER Institute, Covina, CA","active":true,"usgs":false}],"preferred":false,"id":757869,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202332,"text":"70202332 - 2019 - Morphodynamics of a field of crescent-shaped rippled scour depressions: Northern Monterey Bay, CA","interactions":[],"lastModifiedDate":"2019-02-22T12:38:16","indexId":"70202332","displayToPublicDate":"2019-02-22T12:38:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Morphodynamics of a field of crescent-shaped rippled scour depressions: Northern Monterey Bay, CA","docAbstract":"Despite the prevalence of rippled scour depression (RSD) on the world's continental shelves and their importance as nursery habitats for many commercially-important species, the processes responsible for their formation and geomorphic evolution are still not well understood. Most studies that focused on RSD evolution have been based on data acquired over multiple years to decades, and often during calmer summer months. Here, multiple geophysical seafloor mapping surveys of a field of RSD's off Santa Cruz, California, USA, were conducted over the course of two winters with distinctly different oceanographic forcing; these results were compared to time series oceanographic measurements made within the survey area, and put into the context of long-term trends from survey data collected during previous decades. Although the migration of these features across the seafloor occurs on decadal time scales, significant change was detected within a given year, depending on the wave climate and fluvial sediment input. RSDs shrank up to 16% or grew up to 28% in a span of a few months. Such change was predominantly the result of redistribution of fine-grained sediment input to the system by local rivers. Migration of the seafloor features appears to be the result of accumulation of fine-grained sediment at the boundary between the RSD and the surrounding fine-grained cap.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2018.10.006","usgsCitation":"Rosenberger, K.J., Storlazzi, C.D., and Dartnell, P., 2019, Morphodynamics of a field of crescent-shaped rippled scour depressions: Northern Monterey Bay, CA: Marine Geology, v. 407, p. 44-59, https://doi.org/10.1016/j.margeo.2018.10.006.","productDescription":"16 p.","startPage":"44","endPage":"59","ipdsId":"IP-093455","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467879,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.margeo.2018.10.006","text":"Publisher Index Page"},{"id":437564,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71C1W36","text":"USGS data release","linkHelpText":"Bathymetry, acoustic-backscatter, and time-series datasets collected between 2014 and 2016 of a field of crescent-shaped rippled scour depressions in northern Monterey Bay, California"},{"id":361461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Northern Monterey Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.0333,\n 36.925\n ],\n [\n -122,\n 36.925\n ],\n [\n -122,\n 36.9583\n ],\n [\n -122.0333,\n 36.9583\n ],\n [\n -122.0333,\n 36.925\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"407","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rosenberger, Kurt J. 0000-0002-5185-5776 krosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5185-5776","contributorId":140453,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt","email":"krosenberger@usgs.gov","middleInitial":"J.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":757871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757872,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202032,"text":"ds1103 - 2019 - Least Bell’s Vireo (Vireo bellii pusillus) and Southwestern Willow Flycatcher (Empidonax traillii extimus) surveys in the Hansen Dam Basin, Los Angeles County, California—2018 data summary","interactions":[],"lastModifiedDate":"2019-02-26T09:20:22","indexId":"ds1103","displayToPublicDate":"2019-02-22T08:15:04","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1103","displayTitle":"Least Bell’s Vireo (Vireo bellii pusillus) and Southwestern Willow Flycatcher (Empidonax traillii extimus) Surveys in the Hansen Dam Basin, Los Angeles County, California—2018 Data Summary","title":"Least Bell’s Vireo (Vireo bellii pusillus) and Southwestern Willow Flycatcher (Empidonax traillii extimus) surveys in the Hansen Dam Basin, Los Angeles County, California—2018 data summary","docAbstract":"We surveyed for Least Bell’s Vireos (Vireo bellii pusillus; vireo) and Southwestern Willow Flycatchers (Empidonax traillii extimus; flycatcher) in cooperation with the U.S. Army Corps of Engineers along Big Tujunga Creek in the Hansen Dam Basin in Los Angeles County, California, in 2018. Four vireo surveys were conducted between April 25 and July 17, 2018, and three flycatcher surveys were conducted between May 22 and July 17, 2018. We found 77 territorial male vireos, 54 of which were confirmed as paired. Seventy-seven percent of vireos were detected in habitat characterized as mixed willow, and 84 percent of vireos were detected in habitat with greater than 50 percent native plant cover. One transient Willow Flycatcher of unknown subspecies was observed in the survey area in 2018.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1103","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Pottinger, R.E., and Kus, B.E., 2019, Least Bell’s Vireo (Vireo bellii pusillus) and Southwestern Willow Flycatcher (Empidonax traillii extimus) surveys in the Hansen Dam Basin, Los Angeles County, California—2018 data summary: U.S. Geological Survey Data Series 1103, 11 p., https://doi.org/10.3133/ds1103.","productDescription":"iv, 12 p.","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-103361","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":361420,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1103/ds1103.pdf","text":"Report","size":"3.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1103"},{"id":361419,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1103/coverthb.jpg"}],"country":"United States","state":"California","county":"Los Angeles County","otherGeospatial":"Big Tujunga Creek , Hansen Dam Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.40412139892578,\n 34.25700362097726\n ],\n [\n -118.36515426635742,\n 34.25700362097726\n ],\n [\n -118.36515426635742,\n 34.2732120461364\n ],\n [\n -118.40412139892578,\n 34.2732120461364\n ],\n [\n -118.40412139892578,\n 34.25700362097726\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
Counts of males displaying on breeding grounds are the primary management tool used to assess population trends in lekking grouse species. Despite the importance of male lek attendance (i.e., proportion of males on leks available for detection) influencing lek counts, patterns of within season and between season variability in attendance rates are not well understood. We used high‐frequency global positioning system (GPS) telemetry data from male greater sage‐grouse (Centrocercus urophasianus; n = 67) over five lekking seasons (2013–2017) at eight study sites in Nevada to estimate lek attendance rates. Specifically, we recorded daily locations of sage‐grouse in relation to mapped lek boundaries and used generalized additive models to assess temporal variation in attendance rates by age class (subadult vs. adult). Average timing of peak attendance occurred on 16 April but varied from March 16, 2014 to April 21 , 2016. Overall, adult males attended leks at higher rates (0.683 at peak) and earlier in the season (19 March) than subadults (0.421 at peak on April 19). Peak attendance probability was positively related to cumulative winter precipitation. Daily probabilities of lek switching differed between adults (0.019 at peak on March 3) and subadults (0.046 at peak on March 22), and lek switching was negatively related to distance to nearest lek. Our results indicate variable patterns in lek attendance through time, and that lek switching may occur at higher rates than previously thought. We demonstrate the use of generalizable daily attendance curves to date‐correct lek counts and derive estimates of male abundance, although such an approach will likely require the incorporation of information on age structure to produce robust results that are useful for population monitoring.
","language":"English","publisher":"Wiley","doi":"10.1002/1438-390X.1019","usgsCitation":"Wann, G.T., Coates, P.S., Prochazka, B.G., Severson, J.P., Monroe, A., and Aldridge, C., 2019, Assessing lek attendance of male greater sage‐grouse using fine‐resolution GPS data: Implications for population monitoring of lek mating grouse: Population Ecology, v. 61, no. 2, p. 183-197, https://doi.org/10.1002/1438-390X.1019.","productDescription":"15 p.","startPage":"183","endPage":"197","ipdsId":"IP-098337","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467880,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/1438-390x.1019","text":"Publisher Index Page"},{"id":361440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","volume":"61","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Wann, Gregory T. 0000-0001-9076-7819 wanng@usgs.gov","orcid":"https://orcid.org/0000-0001-9076-7819","contributorId":3855,"corporation":false,"usgs":true,"family":"Wann","given":"Gregory","email":"wanng@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":757781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":757780,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prochazka, Brian G. 0000-0001-7270-5550 bprochazka@usgs.gov","orcid":"https://orcid.org/0000-0001-7270-5550","contributorId":174839,"corporation":false,"usgs":true,"family":"Prochazka","given":"Brian","email":"bprochazka@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":757782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Severson, John P. 0000-0002-1754-6689","orcid":"https://orcid.org/0000-0002-1754-6689","contributorId":213469,"corporation":false,"usgs":true,"family":"Severson","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":757783,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Monroe, Adrian P. 0000-0003-0934-8225 amonroe@usgs.gov","orcid":"https://orcid.org/0000-0003-0934-8225","contributorId":152209,"corporation":false,"usgs":true,"family":"Monroe","given":"Adrian P.","email":"amonroe@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":757784,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":213471,"corporation":false,"usgs":false,"family":"Aldridge","given":"Cameron L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":757785,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202315,"text":"70202315 - 2019 - Slough evolution and legacy mercury remobilization induced by wetland restoration in South San Francisco Bay","interactions":[],"lastModifiedDate":"2019-03-04T11:04:42","indexId":"70202315","displayToPublicDate":"2019-02-21T16:47:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Slough evolution and legacy mercury remobilization induced by wetland restoration in South San Francisco Bay","docAbstract":"Coastal wetlands have a long history of degradation and destruction due to human development. Now recognized as one of the most productive ecosystems in the world, substantial efforts are being made to restore this critical habitat. While wetland restoration efforts are generally viewed as beneficial in terms of providing wildlife habitat and flood control, they are often accompanied by dramatic physical and chemical changes that may result in unintended consequences, which are rarely studied. Alviso Slough, a tidal slough in South San Francisco Bay, California, is the site of an ongoing effort to restore former salt-production ponds to intertidal marsh habitat. Restoration is complicated by the fact that (1) the ponds undergoing restoration are severely subsided and (2) subsurface sediments within the slough and surrounding ponds are contaminated with legacy mercury deposits. Due to concerns regarding mercury remobilization, restoration has proceeded in a cautious, methodical manner. To assess the amount of legacy mercury remobilized since restoration began, we developed a technique of combining high-resolution, biannual measurements of bathymetric scour with mercury concentration measurements from sediment cores. We estimate that 52 kg (±3) of mercury was remobilized in the 6 years since restoration began. Net bathymetric change analyses revealed seasonal trends of peak erosion during the winter months and little to no net change during summer months. Our analyses provide crucial insight on the spatial and temporal scales of geomorphic evolution within a tidal slough resulting from both natural (seasonal) variability and restoration actions. The technique presented here could be applied to other study sites and various sediment-associated contaminants of concern to aid in the design and management of restoration projects aiming to minimize negative impacts from legacy contaminants.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2019.02.033","usgsCitation":"Foxgrover, A.C., Marvin-DiPasquale, M.C., Jaffe, B.E., and Fregoso, T.A., 2019, Slough evolution and legacy mercury remobilization induced by wetland restoration in South San Francisco Bay: Estuarine, Coastal and Shelf Science, v. 220, p. 1-12, https://doi.org/10.1016/j.ecss.2019.02.033.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-096812","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467881,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2019.02.033","text":"Publisher Index Page"},{"id":361438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"South San Francisco Bay","volume":"220","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Foxgrover, Amy C. 0000-0003-0638-5776 afoxgrover@usgs.gov","orcid":"https://orcid.org/0000-0003-0638-5776","contributorId":3261,"corporation":false,"usgs":true,"family":"Foxgrover","given":"Amy","email":"afoxgrover@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757786,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":757788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757787,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fregoso, Theresa A. 0000-0001-7802-5812 tfregoso@usgs.gov","orcid":"https://orcid.org/0000-0001-7802-5812","contributorId":2571,"corporation":false,"usgs":true,"family":"Fregoso","given":"Theresa","email":"tfregoso@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":757789,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202234,"text":"ofr20171064 - 2019 - Evaluation of recommended revisions to Bulletin 17B","interactions":[],"lastModifiedDate":"2019-02-22T10:08:21","indexId":"ofr20171064","displayToPublicDate":"2019-02-21T15:45:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1064","displayTitle":"Evaluation of Recommended Revisions to Bulletin 17B","title":"Evaluation of recommended revisions to Bulletin 17B","docAbstract":"For the past 36 years, Bulletin 17B, published by the Interagency Committee on Water Data in 1982, has guided flood-frequency analyses in the United States. During this period, much has been learned about both hydrology and statistical methods. In keeping with the tradition of periodically updating the Bulletin 17B guidelines in light of advances in our understanding and methods, the Hydrologic Frequency Analysis Work Group (HFAWG) was charged by the Subcommittee on Hydrology (SOH) of the Advisory Committee on Water Information (ACWI) to consider possible updates to Bulletin 17B.
The purpose of this report is to consider the statistical performance of possible revisions to Bulletin 17B procedures. Of particular interest are procedures designed to accommodate more general forms of flood information. The concern is how the proposed procedures would affect the precision, accuracy and robustness of flood-frequency estimates. The investigations reported here focus on techniques for the following:
The proposed changes, which mostly involve generalizing Bulletin 17B’s method-of-moments procedures by using the Expected Moments Algorithm (EMA), are relatively modest, at least in the sense that they would not affect the main features of Bulletin 17B. The proposed methods include the following:
The hydrological literature already provides extensive support for the theory behind the proposed changes. The remaining question is practical: How well do the proposed methods perform under typical and realistic conditions and, specifically, with difficult records occasionally encountered in practice? In order to answer these questions, the HFAWG commissioned the work reported here. The following four major sets of results are provided:
Collectively, these studies provide a reasonably comprehensive, valid, and robust assessment of the properties of the Bulletin 17B methods and proposed alternatives. The experiments and analysis indicate that the flood quantile estimators, proposed as a revision of Bulletin 17B, do the following:
Chief, Analysis and Prediction Branch
Integrated Modeling and Prediction Division
Water Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Mail Stop 415
Reston, VA 20192
Recent information reporting Pink-footed Shearwater Ardenna creatopus mortality from fisheries bycatch throughout its range has encouraged fisheries managers in Chile to evaluate and consider shearwater foraging behaviors to better evaluate risk. In response, we tracked six chickrearing adult Pink-footed Shearwaters from Isla Mocha, off south-central Chile, from 19 to 28 March 2015 using global positioning sensors and time-depth recorders. We recorded seven complete trips averaging 4.2 ± 2.5 d (mean ± SD). Chick-provisioning adults foraged within 334 km (i.e., 175 ± 100 km) of Isla Mocha. Dives (n = 515) occurred throughout the measured foraging range but most frequently occurred within 5–30 km from the mainland coast, in continental shelf waters north of Valdivia. Other regions with diving behavior were within ~20 km of Isla Mocha, and from Lebu to north of Talcahuano. Based on movement behavior analysis, adults spent most of their time at sea “resting/ foraging” (62% ± 6%), with the remainder spent “searching” (16% ± 4%) and “transiting” (20% ± 5%). The proportions of total number of dives associated with these three behaviors were similar. On average, dives were relatively shallow (1.6 ± 1.2 m, maximum depth = 10.1 m) and brief (4.7 ± 4.8 s, maximum duration = 25.7 s). Dives occurred during the day, at night, and at twilight, with most activity occurring at twilight and during the day. Although based on a small sample size, our results may be useful for informing modifications to fishing gear or fisheries policy to reduce the likelihood of bycatch and thus meet Chilean conservation goals for Pink-footed Shearwaters.
","language":"English","publisher":"Pacific Seabird Group","usgsCitation":"Adams, J., Felis, J.J., Czapanskiy, M., Carle, R., and Hodum, P., 2019, Diving behavior of Pink-footed Shearwaters Ardenna creatopus rearing chicks on Isla Mocha, Chile: Marine Ornithology: Journal of Seabird Research and Conservation, v. 47, p. 17-24.","productDescription":"8 p.","startPage":"17","endPage":"24","ipdsId":"IP-092421","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":361421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":361414,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.marineornithology.org/content/get.cgi?rn=1286"}],"country":"Chile","otherGeospatial":"Isla Mocha","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.5,\n -40\n ],\n [\n -73,\n -40\n ],\n [\n -73,\n -38\n ],\n [\n -74.5,\n -38\n ],\n [\n -74.5,\n -40\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Adams, Josh 0000-0003-3056-925X","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":213442,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":757734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Felis, Jonathan J. 0000-0002-0608-8950 jfelis@usgs.gov","orcid":"https://orcid.org/0000-0002-0608-8950","contributorId":4825,"corporation":false,"usgs":true,"family":"Felis","given":"Jonathan","email":"jfelis@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":757735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czapanskiy, Max 0000-0002-6302-905X","orcid":"https://orcid.org/0000-0002-6302-905X","contributorId":207793,"corporation":false,"usgs":false,"family":"Czapanskiy","given":"Max","email":"","affiliations":[{"id":37635,"text":"San Fransciso State University","active":true,"usgs":false}],"preferred":false,"id":757736,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carle, Ryan D.","contributorId":213443,"corporation":false,"usgs":false,"family":"Carle","given":"Ryan D.","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":757737,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hodum, Peter J.","contributorId":213444,"corporation":false,"usgs":false,"family":"Hodum","given":"Peter J.","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":757738,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70202299,"text":"70202299 - 2019 - Geophysical Characterization of the heat source in the Northwest Geysers, California","interactions":[],"lastModifiedDate":"2019-02-21T13:50:42","indexId":"70202299","displayToPublicDate":"2019-02-21T13:50:37","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geophysical Characterization of the heat source in the Northwest Geysers, California","docAbstract":"The Geysers, in northern California, is the largest energy producing geothermal field in the world. Looking to expand capacity, the operator Calpine Corporation developed an anomalously hot (~400 °C at 2.5 km depth) part of the field in the northwest Geysers, including testing of an enhanced geothermal systems (EGS). Though the area is anomalously hot, geophysical methods have failed to adequately image any inferred magmatic heat source. Gravity measurements were collected and jointly modeled with existing magnetic data along a two-dimensional profile aligned with an existing geologic cross-section. The key feature of the potential field model is a low-density, low-susceptibility body below the EGS at 5 km depth. Magnetotelluric (MT) measurements were collected around the northwest Geysers and modeled in three-dimensions to characterize subsurface resistivity structure. The resistivity model images an extension of a Quaternary granitic pluton locally known as “the felsite” under the EGS project and a possible zone of partial melt (<10%) below 7 km in the northwestern part of the field.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings, 44th Workshop on Geothermal Reservoir Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"44th Workshop on Geothermal Reservoir Engineering","conferenceDate":"February 11-13, 2019","conferenceLocation":"Stanford, CA","language":"English","publisher":"Stanford University","usgsCitation":"Peacock, J., Mangan, M.T., Walters, M., Hartline, C., Glen, J.M., Earney, T.E., and Schermerhorn, W.D., 2019, Geophysical Characterization of the heat source in the Northwest Geysers, California, in Proceedings, 44th Workshop on Geothermal Reservoir Engineering, Stanford, CA, February 11-13, 2019, 7 p.","productDescription":"7 p.","ipdsId":"IP-104721","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":361416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":361392,"type":{"id":11,"text":"Document"},"url":"https://pangea.stanford.edu/ERE/db/GeoConf/papers/SGW/2019/Peacock.pdf"}],"country":"United States","state":"California","otherGeospatial":"Northwest Geysers","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.9,\n 38.75\n ],\n [\n -122.75,\n 38.75\n ],\n [\n -122.75,\n 38.9\n ],\n [\n -122.9,\n 38.9\n ],\n [\n -122.9,\n 38.75\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peacock, Jared R. 0000-0002-0439-0224","orcid":"https://orcid.org/0000-0002-0439-0224","contributorId":210082,"corporation":false,"usgs":true,"family":"Peacock","given":"Jared R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":757698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mangan, Margaret T. 0000-0002-5273-8053 mmangan@usgs.gov","orcid":"https://orcid.org/0000-0002-5273-8053","contributorId":3343,"corporation":false,"usgs":true,"family":"Mangan","given":"Margaret","email":"mmangan@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":757699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, Mark 0000-0001-8458-4813","orcid":"https://orcid.org/0000-0001-8458-4813","contributorId":213428,"corporation":false,"usgs":false,"family":"Walters","given":"Mark","email":"","affiliations":[{"id":38755,"text":"Calpine","active":true,"usgs":false}],"preferred":false,"id":757700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartline, Craig","contributorId":213429,"corporation":false,"usgs":false,"family":"Hartline","given":"Craig","email":"","affiliations":[{"id":38755,"text":"Calpine","active":true,"usgs":false}],"preferred":false,"id":757701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glen, Jonathan M.G. 0000-0002-3502-3355 jglen@usgs.gov","orcid":"https://orcid.org/0000-0002-3502-3355","contributorId":176530,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":757702,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Earney, Tait E. 0000-0002-1504-0457","orcid":"https://orcid.org/0000-0002-1504-0457","contributorId":210080,"corporation":false,"usgs":true,"family":"Earney","given":"Tait","email":"","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":757703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schermerhorn, William D. 0000-0002-0167-378X","orcid":"https://orcid.org/0000-0002-0167-378X","contributorId":210081,"corporation":false,"usgs":true,"family":"Schermerhorn","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":757704,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70202304,"text":"70202304 - 2019 - Rupture model of the M5.8 Pawnee, Oklahoma earthquake from regional and teleseismic waveforms","interactions":[],"lastModifiedDate":"2019-06-18T10:18:55","indexId":"70202304","displayToPublicDate":"2019-02-21T13:01:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Rupture model of the M5.8 Pawnee, Oklahoma earthquake from regional and teleseismic waveforms","docAbstract":"The 2016 M5.8 Pawnee, Oklahoma earthquake is the largest earthquake to have been induced by wastewater disposal. We infer the coseismic slip history from analysis of apparent source time functions and inversion of regional and teleseismic P‐waveforms, using aftershocks as empirical Green's functions. The earthquake nucleated on the shallow part of the fault, initially rupturing towards the surface, followed shortly thereafter by slip deeper on the fault. Deeper slip occurred below the aftershocks and at greater depths than most induced seismicity in the region, suggesting that small‐ to moderate‐sized earthquakes may not occur on deeper parts of faults in Oklahoma because they are further from failure than shallower fault sections. Comparisons with models of pore pressure perturbations further suggest that the earthquake may have initiated within a region of higher pore pressure perturbation but was not confined to this zone. These observations inform source physics and understanding of maximum magnitudes.
","language":"English","publisher":"AGU","doi":"10.1029/2018GL081364","usgsCitation":"Moschetti, M.P., Hartzell, S.H., and Herrmann, R.B., 2019, Rupture model of the M5.8 Pawnee, Oklahoma earthquake from regional and teleseismic waveforms: Geophysical Research Letters, v. 46, no. 5, p. 2494-2502, https://doi.org/10.1029/2018GL081364.","productDescription":"9 p.","startPage":"2494","endPage":"2502","ipdsId":"IP-104842","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":361410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","city":"Pawnee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.82697296142577,\n 36.31388025820415\n ],\n [\n -96.77753448486328,\n 36.31388025820415\n ],\n [\n -96.77753448486328,\n 36.35522760439977\n ],\n [\n -96.82697296142577,\n 36.35522760439977\n ],\n [\n -96.82697296142577,\n 36.31388025820415\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":757716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":757717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herrmann, R. B.","contributorId":213436,"corporation":false,"usgs":false,"family":"Herrmann","given":"R.","email":"","middleInitial":"B.","affiliations":[{"id":37518,"text":"St. Louis University","active":true,"usgs":false}],"preferred":false,"id":757718,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202946,"text":"70202946 - 2019 - Nutrients mediate the effects of temperature on methylmercury concentrations in freshwater zooplankton","interactions":[],"lastModifiedDate":"2020-10-22T20:48:34.082375","indexId":"70202946","displayToPublicDate":"2019-02-21T12:23:26","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Nutrients mediate the effects of temperature on methylmercury concentrations in freshwater zooplankton","docAbstract":"Methylmercury (MeHg) bioaccumulation in freshwater aquatic systems is impacted by anthropogenic stressors, including climate change and nutrient enrichment. The goal of this study was to determine how warmer water temperatures and excess nutrients would alter zooplankton communities and phytoplankton concentrations, and whether those changes would in turn increase or decrease MeHg concentrations in freshwater zooplankton. To test this, we employed a 2x2 factorial experimental design with nutrient and temperature treatments. Mesocosms were filled with ambient water and plankton from Cottage Grove Reservoir, Oregon, U.S.A, a waterbody that has experienced decades of elevated MeHg concentrations and corresponding fish consumption advisories due to run-off from Black Butte Mine tailings, located within the watershed. Treatment combinations of warmer temperature (increased by 0.7°C) and nutrient addition (a single pulse of 10 ambient concentrations of nitrogen and phosphorous), control, and a combination of temperature and nutrients were applied to mesocosms.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.02.259","usgsCitation":"Jordan, M.P., Stewart, A.R., Eagles-Smith, C.A., and Stracker, A.L., 2019, Nutrients mediate the effects of temperature on methylmercury concentrations in freshwater zooplankton: Science of the Total Environment, v. 667, p. 601-612, https://doi.org/10.1016/j.scitotenv.2019.02.259.","productDescription":"12 p.","startPage":"601","endPage":"612","ipdsId":"IP-100758","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":460463,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.02.259","text":"Publisher Index Page"},{"id":362835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Cottage Grove Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.06507110595703,\n 43.74555296055977\n ],\n [\n -122.97958374023438,\n 43.74555296055977\n ],\n [\n -122.97958374023438,\n 43.89170731133432\n ],\n [\n -123.06507110595703,\n 43.89170731133432\n ],\n [\n -123.06507110595703,\n 43.74555296055977\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"667","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jordan, Meredith P","contributorId":214714,"corporation":false,"usgs":false,"family":"Jordan","given":"Meredith","email":"","middleInitial":"P","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":760613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, A. Robin 0000-0003-2918-546X arstewar@usgs.gov","orcid":"https://orcid.org/0000-0003-2918-546X","contributorId":1482,"corporation":false,"usgs":true,"family":"Stewart","given":"A.","email":"arstewar@usgs.gov","middleInitial":"Robin","affiliations":[{"id":40553,"text":"WMA - Office of the Chief Operating Officer","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":760614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":760612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stracker, Angela L","contributorId":214715,"corporation":false,"usgs":false,"family":"Stracker","given":"Angela","email":"","middleInitial":"L","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":760615,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228331,"text":"70228331 - 2019 - Spatial ecology of closely-related taxa: The case of the little shearwater complex in the North Atlantic Ocean","interactions":[],"lastModifiedDate":"2022-02-09T18:22:16.947611","indexId":"70228331","displayToPublicDate":"2019-02-21T12:03:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3810,"text":"Zoological Journal of the Linnean Society","active":true,"publicationSubtype":{"id":10}},"title":"Spatial ecology of closely-related taxa: The case of the little shearwater complex in the North Atlantic Ocean","docAbstract":"Seabirds inhabiting vast water masses provide numerous examples where opposing phenomena, such as natal and breeding philopatry vs. vagility have dug cryptic taxonomic boundaries among closely related taxa. The taxonomy of little shearwaters of the North Atlantic Ocean (Little–Audubon’s shearwater complex, Puffinus assimilis–lherminieri) still remains unclear, and complementary information on non-breeding distributions and at-sea behaviour becomes essential to unravel divergent local adaptations to specific habitats. Using miniaturized light-level geolocators from seven study areas in the North Atlantic, we evaluate the spatial and habitat segregation, estimate the timing of their key life-cycle events and describe the at-sea behaviour of three taxa of these little shearwaters year-round to distinguish ecological patterns and specializations that could ultimately unravel potential lineage divergences. We also assess morphometric data from birds that were breeding at each study area to further discuss potential adaptations to specific habitats. Our results show that, while birds from different taxa segregated in space and habitats, they share ecological plasticity, similar annual phenology and diel foraging behaviour. These ecological inconsistencies, while defining the evolutionary stressors faced by these taxa, do not suggest the existence of three Evolutionary Significant Units. However, they confirm the recent evolutionary divergence among the three little shearwaters of the North Atlantic.
","language":"English","publisher":"Oxford University Press on behalf of The Linnean Society of London","doi":"10.1093/zoolinnean/zlaa045","usgsCitation":"Ramos, R., Paiva, V., Zajikova, Z., Precheur, C., Mackin, W., Fagundes, A., Jodice, P.G., Zino, F., Gonzalez-Solis, J., and Bretagnolle, V., 2019, Spatial ecology of closely-related taxa: The case of the little shearwater complex in the North Atlantic Ocean: Zoological Journal of the Linnean Society, v. 191, no. 2, p. 482-502, https://doi.org/10.1093/zoolinnean/zlaa045.","productDescription":"21 p.","startPage":"482","endPage":"502","ipdsId":"IP-098130","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":467883,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10261/228870","text":"External Repository"},{"id":395706,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North Atlantic Ocean","volume":"191","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Ramos, R.","contributorId":275186,"corporation":false,"usgs":false,"family":"Ramos","given":"R.","email":"","affiliations":[{"id":56742,"text":"Universitat de Barcelona","active":true,"usgs":false}],"preferred":false,"id":833787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paiva, V.H.","contributorId":275187,"corporation":false,"usgs":false,"family":"Paiva","given":"V.H.","affiliations":[{"id":56743,"text":"University of Coimbra","active":true,"usgs":false}],"preferred":false,"id":833788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zajikova, Z.","contributorId":275425,"corporation":false,"usgs":false,"family":"Zajikova","given":"Z.","email":"","affiliations":[],"preferred":false,"id":834076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Precheur, C.","contributorId":275188,"corporation":false,"usgs":false,"family":"Precheur","given":"C.","email":"","affiliations":[{"id":56744,"text":"Université de La Rochelle, Université des Antilles","active":true,"usgs":false}],"preferred":false,"id":833789,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mackin, William","contributorId":275426,"corporation":false,"usgs":false,"family":"Mackin","given":"William","email":"","affiliations":[],"preferred":false,"id":834077,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fagundes, A.I.","contributorId":275189,"corporation":false,"usgs":false,"family":"Fagundes","given":"A.I.","affiliations":[{"id":56743,"text":"University of Coimbra","active":true,"usgs":false}],"preferred":false,"id":833790,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833791,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zino, F.","contributorId":275190,"corporation":false,"usgs":false,"family":"Zino","given":"F.","affiliations":[{"id":56745,"text":"Freira Conservation Project","active":true,"usgs":false}],"preferred":false,"id":833792,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gonzalez-Solis, J.","contributorId":275192,"corporation":false,"usgs":false,"family":"Gonzalez-Solis","given":"J.","email":"","affiliations":[{"id":56742,"text":"Universitat de Barcelona","active":true,"usgs":false}],"preferred":false,"id":833794,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bretagnolle, V.","contributorId":275191,"corporation":false,"usgs":false,"family":"Bretagnolle","given":"V.","affiliations":[{"id":56746,"text":"Université des Antille","active":true,"usgs":false}],"preferred":false,"id":833793,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70202301,"text":"70202301 - 2019 - Estimating sand concentrations using ADCP‐based acoustic inversion in a large fluvial system characterized by bi‐modal suspended‐sediment distributions","interactions":[],"lastModifiedDate":"2019-06-18T10:16:40","indexId":"70202301","displayToPublicDate":"2019-02-21T11:11:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Estimating sand concentrations using ADCP‐based acoustic inversion in a large fluvial system characterized by bi‐modal suspended‐sediment distributions","docAbstract":"Quantifying sediment flux within rivers is a challenge for many disciplines due, mainly, to difficulties inherent to traditional sediment sampling methods. These methods are operationally complex, high cost, and high risk. Additionally, the resulting data provide a low spatial and temporal resolution estimate of the total sediment flux, which has impeded advances in the understanding of the hydro‐geomorphic characteristics of rivers. Acoustic technologies have been recognized as a leading tool for increasing the resolution of sediment data by relating their echo intensity level measurements to suspended sediment. Further effort is required to robustly test and develop these techniques across a wide range of conditions found in natural river systems. This article aims to evaluate the application of acoustic inversion techniques using commercially available, down‐looking acoustic Doppler current profilers (ADCPs) in quantifying suspended sediment in a large sand bed river with varying bi‐modal particle size distributions, wash load and suspended‐sand ratios, and water stages. To achieve this objective, suspended sediment was physically sampled along the Paraná River, Argentina, under various hydro‐sedimentological regimes. Two ADCPs emitting different sound frequencies were used to simultaneously profile echo intensity level within the water column. Using the sonar equation, calibrations were determined between suspended‐sand concentrations and acoustic backscatter to solve the inverse problem. The study also analyzed the roles played by each term of the sonar equation, such as ADCP frequency, power supply, instrument constants, and particle size distributions typically found in sand bed rivers, on sediment attenuation and backscatter. Calibrations were successfully developed between corrected backscatter and suspended‐sand concentrations for all sites and ADCP frequencies, resulting in mean suspended‐sand concentration estimates within about 40% of the mean sampled concentrations. Noise values, calculated using the sonar equation and sediment sample characteristics, were fairly constant across evaluations, suggesting that they could be applied to other sand bed rivers.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.4572","usgsCitation":"Szupiany, R.N., Lopez Weibel, C., Guerrero, M., Latosinski, F., Wood, M.S., Dominguez Ruben, L., and Oberg, K., 2019, Estimating sand concentrations using ADCP‐based acoustic inversion in a large fluvial system characterized by bi‐modal suspended‐sediment distributions: Earth Surface Processes and Landforms, v. 44, no. 6, p. 1295-1308, https://doi.org/10.1002/esp.4572.","productDescription":"14 p.","startPage":"1295","endPage":"1308","ipdsId":"IP-100807","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":467884,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/esp.4572","text":"External Repository"},{"id":361404,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -60.934295654296875,\n -32.11514862261243\n ],\n [\n -60.29296874999999,\n -32.11514862261243\n ],\n [\n -60.29296874999999,\n -31.421631960419596\n ],\n [\n -60.934295654296875,\n -31.421631960419596\n ],\n [\n -60.934295654296875,\n -32.11514862261243\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Szupiany, Ricardo N.","contributorId":189755,"corporation":false,"usgs":false,"family":"Szupiany","given":"Ricardo","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":757709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lopez Weibel, Cecilia","contributorId":189756,"corporation":false,"usgs":false,"family":"Lopez Weibel","given":"Cecilia","email":"","affiliations":[],"preferred":false,"id":757710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guerrero, Massimo","contributorId":213431,"corporation":false,"usgs":false,"family":"Guerrero","given":"Massimo","email":"","affiliations":[{"id":38756,"text":"University of Bologna, Italy","active":true,"usgs":false}],"preferred":false,"id":757711,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Latosinski, Francisco","contributorId":213432,"corporation":false,"usgs":false,"family":"Latosinski","given":"Francisco","email":"","affiliations":[{"id":38757,"text":"Universidad Nacional del Litoral, Argentina","active":true,"usgs":false}],"preferred":false,"id":757712,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wood, Molly S. 0000-0002-5184-8306 mswood@usgs.gov","orcid":"https://orcid.org/0000-0002-5184-8306","contributorId":788,"corporation":false,"usgs":true,"family":"Wood","given":"Molly","email":"mswood@usgs.gov","middleInitial":"S.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":757707,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dominguez Ruben, Lucas","contributorId":213433,"corporation":false,"usgs":false,"family":"Dominguez Ruben","given":"Lucas","affiliations":[{"id":38757,"text":"Universidad Nacional del Litoral, Argentina","active":true,"usgs":false}],"preferred":false,"id":757713,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Oberg, Kevin 0000-0002-7024-3361 kaoberg@usgs.gov","orcid":"https://orcid.org/0000-0002-7024-3361","contributorId":175229,"corporation":false,"usgs":true,"family":"Oberg","given":"Kevin","email":"kaoberg@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":757708,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70201228,"text":"fs20183082 - 2019 - Assessing the impact of the Conservation Reserve Program on honey bee health","interactions":[],"lastModifiedDate":"2019-02-21T11:13:12","indexId":"fs20183082","displayToPublicDate":"2019-02-21T10:46:40","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3082","displayTitle":"Assessing the Impact of the Conservation Reserve Program on Honey Bee Health","title":"Assessing the impact of the Conservation Reserve Program on honey bee health","docAbstract":"Insect pollinators are critically important for maintaining U.S. food production and ecosystem health. The upper Midwest is home to more than 40 percent of all U.S. honey bee colonies and is considered by many beekeepers to be America’s last beekeeping refuge. Beekeepers come to this region because their honey bees require high-quality grassland and bee-friendly agricultural crops to make honey and to improve bee health. Agricultural grassland, such as those enrolled in the Conservation Reserve Program (CRP), support flowers that provide bees with the pollen and nectar they need. In 2014, the U.S. Department of Agriculture (USDA) and the U.S. Geological Survey (USGS) formed a partnership to assess the impact of the CRP on honey bee health and determine how the cost-effectiveness of the CRP could be improved to promote pollinator habitat. This USGS assessment has generated important findings that could improve USDA’s program delivery and demonstrates the importance of the CRP to honey bees, beekeepers, agricultural producers, and the public.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183082","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture, Farm Service Agency, and the Natural Resources Conservation Service","usgsCitation":"Otto, C.R.V., 2018, Assessing the impact of the Conservation Reserve Program on honey bee health: U.S. Geological Survey Fact Sheet 2018–3082, 2 p., https://doi.org/10.3133/fs20183082.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-103633","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":360109,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3082/coverthb2.jpg"},{"id":360110,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3082/fs20183082.pdf","text":"Report","size":"12.7 MB MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018–3082"}],"contact":"Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th St SE
Jamestown, ND 58401
A field study was conducted to estimate survival of fry-sized juvenile Chinook salmon (Oncorhynchus tshawytscha) in Lookout Point Reservoir, western Oregon, during 2017. The field study consisted of releasing three groups of genetically marked fish in the reservoir and monthly fish sampling. Fish were released during April 18–19 (43,950 fish), May 30–June 2 (44,145 fish), and on June 28, 2017 (3,920 fish). Reservoir sampling began in May and occurred monthly through October, consisting of 5-day events where juvenile Chinook salmon were collected using various gear types (electrofishing, shoreline traps, gill nets). Data were analyzed using two models: (1) a staggered release-recovery model (SRRM), and (2) a parentage-based tagging (PBT) N-mixture model. The SRRM provided survival estimates from two periods: (1) mid-April to late May (SSRRM1), and (2) late May to late June (SSRRM2). Multiple estimates of survival were possible for each period using different combinations of recovery data from the three groups of fish that were released. Survival estimates for SSRRM1 ranged from 0.470 to 0.520. Estimates for SSRRM2 ranged from 0.968 to 0.969; cumulative survival from mid-April to late June (SSRRM2) was estimated at 0.870. We suspect that issues with the third release group led to biased survival results using the SRRM. The PBT N-mixture model provided survival estimates from six periods: (1) mid-April to mid-May (SNMIX1), (2) mid-May to mid-June (SNMIX2), (3) mid-June to mid-July (SNMIX3), (4) mid-July to mid-August (SNMIX4), (5) mid-August to mid-September (SNMIX5), and (6) mid-September to mid-October (SNMIX6). Survival estimates from the PBT N-mixture model were lowest for SNMIX1 (0.461) and increased monthly to a high of 0.970 for SNMIX6. Cumulative survival from mid-April to mid-July was 0.233 and overall survival from mid-April to mid-October was 0.188. This suggests that most mortality occurred early in the study when juvenile Chinook salmon were small. This could be because these fish were most vulnerable to predation in the reservoir at that time. We determined that mortality of juvenile Chinook salmon was high in the reservoir during this study and similar estimates of parr-to-smolt survival have been observed in other systems. Additional analyses are required, including results from the second year of study (2018), and potentially similar evaluations will need to be made at other locations to determine if reservoir mortality is a limiting survival factor for Chinook salmon in the Middle Fork Willamette River.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191011","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers and Oregon State University","usgsCitation":"Kock, T.J., Perry, R.W., Hansen, G.S., Haner, P.V., Pope, A.C., Plumb, J.M., Cogliati, K.M., and Hansen, A.C., 2019, Evaluation of Chinook salmon (Oncorhynchus tshawytscha) fry survival at Lookout Point Reservoir, western Oregon, 2017: U.S. Geological Survey Open-File Report 2019-1011, 42 p., https://doi.org/10.3133/ofr20191011.","productDescription":"vi, 42 p.","numberOfPages":"52","onlineOnly":"Y","ipdsId":"IP-102234","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":361397,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1011/coverthb.jpg"},{"id":361398,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1011/ofr20191011.pdf","text":"Report","size":"12.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1011"}],"country":"United States","state":"Oregon","otherGeospatial":"Lookout Point Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.89718627929688,\n 43.91768033000405\n ],\n [\n -122.81410217285155,\n 43.98589821991874\n ],\n [\n -122.64244079589842,\n 43.929055415997134\n ],\n [\n -122.5140380859375,\n 43.82808744469062\n ],\n [\n -122.63626098632812,\n 43.77059798257491\n ],\n [\n -122.75711059570312,\n 43.854830911225235\n ],\n [\n -122.89718627929688,\n 43.91768033000405\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016